diff --git a/src/eurad/assets/german_stations.csv b/src/eurad/assets/german_stations.csv
new file mode 100644
index 0000000000000000000000000000000000000000..8bc3f846c23ff01f94bd90d5ff21cd633c50f5bf
--- /dev/null
+++ b/src/eurad/assets/german_stations.csv
@@ -0,0 +1,1363 @@
+codes,name,coordinates_lat,coordinates_lng,coordinates_alt
+['DEUB001'],Westerland,54.92497,8.30821,12.0
+['DENW200'],Bielefeld Detmolder Stra�e,52.005624,8.552804,137.0
+['DEUB028'],Zingst,54.43667,12.72528,1.0
+['DENW094'],Aachen-Burtscheid,50.754704,6.093923,205.0
+['DENW067'],Bielefeld-Ost,52.023169,8.548389,102.0
+['DENW081'],Borken-Gemen,51.862,6.874554,45.0
+['DENW021'],Bottrop-Welheim,51.525963,6.976908,40.0
+['DENW008'],Dortmund-Eving,51.536911,7.457463,75.0
+['DENW034'],Duisburg-Walsum,51.524022,6.748402,28.0
+['DENW071'],D�sseldorf-L�rick,51.249211,6.732383,32.0
+['DENW247'],Essen-Schuir (LANUV),51.406968,6.965643,153.0
+['DENW058'],H�rth,50.876121,6.873789,90.0
+['DENW042'],Krefeld-Linn,51.337669,6.640242,32.0
+['DENW053'],K�ln-Chorweiler,51.019345,6.884636,45.0
+['DENW059'],K�ln-Rodenkirchen,50.889814,6.985164,45.0
+['DENW079'],Leverkusen-Manfort,51.028879,7.005063,50.0
+['DENW006'],L�nen-Niederaden,51.592206,7.569838,58.0
+['DENW015'],Marl-Sickingm�hle,51.69896,7.122713,42.0
+['DENW096'],M�nchengladbach-Rheydt,51.154614,6.42571,78.0
+['DENW038'],M�lheim-Styrum,51.45346,6.865107,37.0
+['DENW095'],M�nster-Geist,51.936547,7.611581,63.0
+['DENW065'],Netphen (Rothaargebirge),50.930328,8.191932,635.0
+['DENW074'],Niederzier,50.883475,6.469363,105.0
+['DENW078'],Ratingen-Tiefenbroich,51.303919,6.819967,41.0
+['DENW179'],Schwerte,51.448762,7.582295,157.0
+['DENW064'],Simmerath (Eifel),50.653236,6.281069,572.0
+['DENW068'],Soest-Ost,51.570662,8.148061,110.0
+['DENW080'],Solingen-Wald,51.183773,7.052634,207.0
+['DENW030'],Wesel-Feldmark,51.672809,6.629576,25.0
+['DENW114'],Wuppertal-Langerfeld,51.277647,7.231895,186.0
+['DEUB004'],Schauinsland,47.91326,7.90803,1205.0
+['DEUB030'],Neuglobsow,53.1413,13.03166,65.0
+['DEBW029'],Aalen,48.850373,10.098309,420.0
+['DEBW042'],Bernhausen,48.67819,9.227587,370.0
+['DEBW046'],Biberach,48.090185,9.799713,560.0
+['DEBW004'],Eggenstein,49.07655,8.40666,110.0
+['DEBW084'],Freiburg,48.001509,7.831787,240.0
+['DEBW037'],Freudenstadt,48.472245,8.412437,750.0
+['DEBW038'],Friedrichshafen,47.660553,9.486255,402.0
+['DEBW112'],Gaertringen,48.648925,8.903303,463.0
+['DEBW009'],Heidelberg,49.419576,8.676807,110.0
+['DEBW015'],Heilbronn,49.16548,9.224881,152.0
+['DEBW001'],Karlsruhe-Mitte,49.010519,8.418028,115.0
+['DEBW081'],Karlsruhe-Nordwest,49.028711,8.3556,113.0
+['DEBW022'],Kehl,48.57818,7.80232,135.0
+['DEBW052'],Konstanz,47.664428,9.169281,400.0
+['DEBW024'],Ludwigsburg,48.899272,9.17288,300.0
+['DEBW006'],Mannheim-Mitte,49.475721,8.478092,95.0
+['DEBW005'],Mannheim-Nord,49.544,8.465965,95.0
+['DEBW007'],Mannheim-S�d,49.432317,8.525559,95.0
+['DEBW073'],Neuenburg,47.819182,7.567796,227.0
+['DEBW103'],Odenwald,49.464812,8.753833,520.0
+['DEBW111'],Offenburg,48.476355,7.937756,150.0
+['DEBW033'],Pforzheim,48.889028,8.665574,260.0
+['DEBW110'],Pfullendorf,47.931921,9.23704,623.0
+['DEBW026'],Plochingen,48.708466,9.414758,250.0
+['DEBW027'],Reutlingen,48.488887,9.20732,385.0
+['DEBW031'],Schwarzwald-S�d,47.808469,7.764349,920.0
+['DEBW056'],Schw�bisch_Hall,49.107256,9.733632,300.0
+['DEBW087'],Schw�bische_Alb,48.345404,9.207748,799.0
+['DEBW013'],Stuttgart Bad Cannstatt,48.8088,9.229745,235.0
+['DEBW099'],Stuttgart_Arnulf-Klett-Platz,48.783801,9.179286,245.0
+['DEBW011'],Stuttgart-Zuffenhausen,48.825536,9.172489,260.0
+['DEBW059'],Tauberbischofsheim,49.634841,9.657919,177.0
+['DEBW107'],T�bingen,48.507319,9.050407,320.0
+['DEBW019'],Ulm,48.396819,9.979058,480.0
+['DEBW039'],Villingen-Schwenningen,48.04842,8.463819,705.0
+['DEBW034'],Waiblingen,48.832466,9.301021,275.0
+['DEBW040'],Waldshut,47.61862,8.223123,340.0
+['DEBW023'],Weil am Rhein,47.588152,7.633271,275.0
+['DEBW010'],Wiesloch,49.300681,8.69993,160.0
+['DEBY052'],Neu-Ulm/Gabelsbergerstra�e,48.397079,10.008293,470.0
+['DEBY122'],Bad Hindelang/Oberjoch,47.518013,10.404232,1169.0
+['DEBY079'],Bad Reichenhall/Nonn,47.723186,12.858856,465.0
+['DEBY113'],Erlangen/Kraepelinstra�e,49.605914,10.963528,284.0
+['DEBY081'],Garmisch-Partenkirchen/Kreuzeckbahnstra�e,47.476392,11.063067,735.0
+['DEBY020'],Hof/LfU,50.316103,11.904312,518.0
+['DEBY032'],Kulmbach/Konrad-Adenauer-Stra�e,50.103135,11.442591,303.0
+['DEBY013'],Mehring/Sportplatz,48.182835,12.781387,415.0
+['DEBY047'],Naila/Selbitzer Berg,50.323245,11.721605,534.0
+['DEBY049'],Neustadt a.d. Donau/Eining,48.853211,11.777818,359.0
+['DEBY031'],Kempten (Allg�u)/Westendstra�e,47.72514,10.306561,678.0
+['DEBY062'],Regen/Bodenmaiser Stra�e,48.9724,13.128932,545.0
+['DEBY099'],Augsburg/LfU,48.326013,10.903051,495.0
+['DEBY063'],Regensburg/Rathaus,49.019013,12.101855,335.0
+['DEBY068'],Schweinfurt/Obertor,50.048397,10.232076,231.0
+['DEBY072'],Tiefenbach/Altenschneeberg,49.438464,12.548869,755.0
+['DEBY002'],Arzberg/Egerstra�e,50.058195,12.18865,480.0
+['DEBY037'],M�nchen/Stachus,48.137252,11.564924,521.0
+['DEBY039'],M�nchen/Lothstra�e,48.154534,11.554669,521.0
+['DEBY075'],Weiden i.d.OPf./Nikolaistra�e,49.67895,12.159361,400.0
+['DEBY077'],W�rzburg/Kopfklinik,49.804695,9.95642,226.0
+['DEBY089'],M�nchen/Johanneskirchen,48.173194,11.648036,513.0
+['DEBY109'],Andechs/Rothenfeld,47.968753,11.220172,700.0
+['DEBY118'],Passau/Stelzhamerstra�e,48.573629,13.422039,300.0
+['DEBY001'],Ansbach/Residenzstra�e,49.304889,10.572297,400.0
+['DEBB048'],Neuruppin,52.93189,12.809481,43.0
+['DEBB066'],Spreewald,51.897598,14.057064,52.0
+['DEHB001'],Bremen-Mitte,53.088084,8.810043,10.0
+['DEHB004'],Bremen-Nord,53.180946,8.625456,20.0
+['DEHH049'],Hamburg Blankenese-Baursberg,53.568124,9.786234,75.0
+['DEHH047'],Hamburg Bramfeld,53.63074,10.110595,31.0
+['DEHH050'],Hamburg Neugraben,53.480927,9.857223,3.0
+['DEHH021'],Hamburg Tatenberg,53.487669,10.083646,2.0
+['DEHE032'],Bebra,50.970024,9.80026,204.0
+['DEHB002'],Bremen-Ost,53.060045,8.916966,7.0
+['DEHH033'],Hamburg Flughafen Nord,53.638291,9.998009,13.0
+['DEHE001'],Darmstadt,49.872303,8.664619,158.0
+['DEHE005'],Frankfurt-H�chst,50.101871,8.542052,104.0
+['DEHE008'],Frankfurt-Ost,50.125332,8.746343,100.0
+['DEHE058'],Fulda-Mitte,50.549297,9.682162,272.0
+['DEHE028'],F�rth/Odenwald,49.653465,8.817251,484.0
+['DEHE023'],Grebenau,50.759456,9.464638,373.0
+['DEBB029'],Schwedt (Oder),53.064262,14.285139,5.0
+['DEBB032'],Eisenh�ttenstadt,52.146264,14.638166,40.0
+['DEBB053'],Hasenholz,52.563835,14.015252,88.0
+['DEBB055'],Brandenburg a.d. Havel,52.420442,12.552303,33.0
+['DEBB063'],Wittenberge,52.99875,11.73846,22.0
+['DEBB064'],Cottbus,51.746344,14.33455,75.0
+['DEBB067'],Nauen,52.608609,12.885194,31.0
+['DEBB082'],K�nigs Wusterhausen,52.294633,13.619784,35.0
+['DEBB083'],Spremberg,51.5645,14.3764,99.0
+['DEHB005'],Bremerhaven,53.562455,8.569405,3.0
+['DEHE046'],Bad Arolsen,51.430897,8.928171,343.0
+['DEHH008'],Hamburg Sternschanze,53.56414,9.967882,15.0
+"['DEBB075'],""Potsdam, Gro� Glienicke"",52.484168,13.123698,39.0"
+['DEBB065'],L�tte (Belzig),52.194225,12.561389,111.0
+"['DEBB042'],""Frankfurt (Oder), 1997-2014"",52.339953,14.531918,58.0"
+['DEHE011'],Hanau,50.134839,8.918083,106.0
+['DEHE013'],Kassel-Mitte,51.314248,9.483397,181.0
+['DEHE060'],Kellerwald,51.154843,9.031754,483.0
+['DEHE052'],Kleiner Feldberg,50.221941,8.446079,811.0
+['DEHE044'],Limburg,50.383217,8.060998,128.0
+['DEHE042'],Linden/Leihgestern,50.532965,8.684397,172.0
+['DEHE030'],Marburg,50.804258,8.769324,182.0
+['DEHE045'],Michelstadt,49.672507,9.001981,209.0
+['DEHE018'],Raunheim,50.010325,8.451527,90.0
+['DEHE043'],Riedstadt,49.825165,8.516798,87.0
+['DEHE026'],Spessart,50.16443,9.399441,502.0
+['DEHE051'],Wasserkuppe,50.497711,9.935862,931.0
+['DEHE020'],Wetzlar,50.567185,8.500619,152.0
+['DEHE022'],Wiesbaden-S�d,50.050343,8.244949,121.0
+['DEHE024'],Witzenhausen/Wald,51.291757,9.774588,610.0
+['DEMV017'],G�hlen,53.302352,11.362965,25.0
+['DEMV022'],Rostock-Holbeinplatz,54.09262,12.099553,9.0
+['DEMV024'],Leizen,53.396348,12.463929,116.0
+['DEMV012'],L�cknitz,53.520456,14.257407,17.0
+['DEMV003'],Neubrandenburg,53.559784,13.26644,15.0
+['DEMV007'],Rostock-Stuthof,54.161555,12.174105,5.0
+['DEMV006'],Stralsund,54.306722,13.066673,6.0
+['DENI052'],Allertal,52.82943,9.62295,50.0
+['DEMV021'],Rostock-Warnem�nde,54.17133,12.080003,2.0
+['DENI063'],Altes Land,53.52418,9.68503,3.0
+['DENI011'],Braunschweig,52.22694,10.47364,98.0
+['DENI028'],Eichsfeld,51.50758,10.23854,185.0
+['DENI059'],Elbm�ndung,53.83017,8.80122,3.0
+['DENI062'],L�neburger Heide,53.24696,10.4565,13.0
+['DENI016'],Oker/Harlingerode,51.90158,10.48132,220.0
+"['DEBB085'],""Spremberg, Trattendorf"",51.534534,14.383492,103.0"
+['DENI058'],Ostfries. Inseln,53.7153,7.21398,1.0
+['DENI029'],Ostfriesland,53.36235,7.20726,1.0
+['DENI077'],Solling-S�d,51.70884,9.55462,290.0
+['DENI020'],Wolfsburg,52.44081,10.81638,60.0
+['DENI051'],Wurmberg,51.75816,10.61248,930.0
+['DERP014'],Hunsr�ck-Leisel,49.741035,7.193486,650.0
+['DERP001'],Ludwigshafen-Oppau,49.515052,8.402374,91.0
+['DERP007'],Mainz-Mombach,50.017078,8.216498,120.0
+['DERP027'],Neustadt-Strohmarkt,49.353861,8.135956,138.0
+['DERP034'],Pirmasens-Lemberger Stra�e,49.192314,7.614726,370.0
+['DERP018'],Speyer-St.-Guido-Stifts-Platz,49.318843,8.435041,110.0
+['DERP040'],Trier-Universit�t,49.74869,6.674874,256.0
+['DERP015'],Westeifel Wascheid,50.26632,6.380622,680.0
+['DERP016'],Westerwald-Herdorf,50.766751,7.972718,480.0
+['DENI042'],G�ttingen,51.55107,9.94976,165.0
+['DENI054'],Hannover,52.36292,9.70612,80.0
+['DENI038'],Osnabr�ck,52.25534,8.05286,95.0
+['DENI041'],Weserbergland,52.17017,9.06255,54.0
+['DENI031'],Jadebusen,53.59617,8.09059,2.0
+['DERP017'],Pf�lzerwald-Hortenkopf,49.270263,7.826521,606.0
+['DENI060'],Wendland,52.95702,11.16705,50.0
+['DERP025'],W�rth-Marktplatz,49.052321,8.253547,104.0
+['DESL019'],Biringen,49.416884,6.552037,339.0
+['DESL003'],Dillingen City,49.357861,6.73354,185.0
+['DESL011'],Saarbr�cken-Eschberg,49.237227,7.036322,315.0
+['DESL018'],Sulzbach,49.299373,7.061679,236.0
+['DESL017'],V�lklingen-City Stadionstr.,49.254344,6.867744,189.0
+['DERP024'],Koblenz-Friedrich-Ebert-Ring,50.355581,7.596583,68.0
+['DERP028'],Westerwald-Neuh�usel,50.424568,7.732456,540.0
+['DERP023'],Worms-Hagenstra�e,49.629528,8.35533,90.0
+['DESL002'],Bexbach Schule,49.362049,7.263234,273.0
+['DESN001'],Annaberg-Buchholz,50.570872,12.997278,545.0
+['DESN004'],Bautzen,51.175669,14.443771,203.0
+['DESN049'],Carlsfeld,50.431322,12.611125,896.0
+['DESN011'],Chemnitz-Mitte,50.832461,12.917336,300.0
+['DESN076'],Collmberg,51.303772,13.009406,313.0
+['DESN061'],Dresden-Nord,51.06493,13.741397,112.0
+['DESN092'],Dresden-Winckelmannstr.,51.036105,13.730205,112.0
+['DESN053'],Fichtelberg,50.428488,12.953459,1214.0
+['DESN082'],Leipzig-Thekla,51.375988,12.425748,110.0
+['DESN059'],Leipzig-West,51.317905,12.297411,115.0
+['DESN079'],Niesky,51.285356,14.749731,148.0
+['DESN081'],Plauen-DWD,50.481751,12.130376,385.0
+['DESN051'],Radebeul-Wahnsdorf,51.119514,13.675005,246.0
+['DESN080'],Schkeuditz,51.396095,12.234054,122.0
+['DESN074'],Schwartenberg,50.659097,13.465078,785.0
+['DESN052'],Zinnwald,50.731478,13.75145,877.0
+['DESN045'],Zittau-Ost,50.892377,14.822846,230.0
+['DEST015'],Bitterfeld/Wolfen,51.651165,12.302901,90.0
+['DEST039'],Brocken,51.798629,10.618275,1142.0
+['DEST030'],Dessau,51.84341,12.251367,60.0
+['DEST044'],Halberstadt,51.897017,11.057461,110.0
+['DEST072'],Halle/Ost,51.485287,12.004464,100.0
+['DEST069'],Salzwedel,52.855244,11.17394,23.0
+['DEST011'],Wernigerode/Bahnhof,51.83936,10.790175,230.0
+['DEST066'],Wittenberg/Bahnstrasse,51.870852,12.66369,80.0
+['DEST028'],Zeitz,51.05458,12.141314,160.0
+['DESH001'],Altendeich,53.670571,9.585911,8.0
+['DEST002'],Burg,52.268369,11.864795,40.0
+['DEST050'],Halle/Nord,51.496188,11.979073,120.0
+['DEST098'],Unterharz / Friedrichsbrunn,51.662452,11.043383,410.0
+['DESH016'],Barsb�ttel,53.570583,10.214871,42.0
+['DEHB013'],Bremen-Hasenb�ren,53.1177,8.69506,4.0
+['DESH011'],Brunsb�ttel,53.908822,9.223875,0.0
+['DESH013'],Fehmarn,54.412987,11.215994,2.0
+['DESH017'],Gl�cksburg,54.835158,9.566455,34.0
+['DESH033'],Kiel-Max-Planck-Str.,54.309674,10.116563,29.0
+"['DESH006', 'openaq_3105']",Schleswig,54.5273,9.549636,42.0
+['DESH014'],St.-Peter-Ording,54.327817,8.603364,2.0
+['DETH011'],Altenburg Theaterplatz,50.987758,12.437621,185.0
+['DETH013'],Eisenach Wernebrg.Str,50.978292,10.317236,210.0
+['DETH009'],Gera Friedericistr.,50.877317,12.07471,190.0
+['DETH040'],Gro�er Eisenberg,50.619181,10.787135,907.0
+['DETH061'],Hummelshain,50.791616,11.661233,357.0
+['DETH041'],Jena Dammstr.,50.933513,11.597062,140.0
+['DETH095'],M�hlhausen Bastmarkt,51.207944,10.450997,215.0
+['DETH027'],Neuhaus,50.499955,11.134593,840.0
+['DETH018'],Nordhausen,51.497195,10.791404,185.0
+['DEST090'],Leuna,51.321381,12.032136,100.0
+['DEHE063'],Heppenheim-Lehrstra�:e,49.643238,8.642,110.0
+['DETH042'],Possen,51.333333,10.867188,420.0
+['DETH005'],Saalfeld,50.651182,11.368875,210.0
+['DEHH073'],Hamburg Finkenwerder Airbus,53.532075,9.832702,5.0
+['DEBB084'],Vogelsang (Brieskow.-F),52.17956,14.667088,33.0
+['DEBE051'],B Buch,52.636708,13.494857,60.0
+['DEBE056'],B Friedrichshagen,52.44775,13.647013,35.0
+['DESH023'],L�beck-St. J�rgen,53.835492,10.695936,12.0
+['DETH026'],Drei�igacker,50.561754,10.375299,450.0
+['DEHE061'],Gie�en-Westanlage,50.584108,8.668579,162.0
+['DEHE062'],Marburg-Univers.Stra�e,50.807018,8.769396,186.0
+['DETH036'],Greiz Mollbergstr.,50.655861,12.205199,265.0
+['DETH060'],Zella-Mehlis,50.653245,10.668641,490.0
+['DESH015'],Itzehoe,53.924712,9.532635,40.0
+['DEBE032'],B Grunewald (3.5 m),52.473089,13.225856,50.0
+['DEBE027'],B Marienfelde-Schichauweg,52.398521,13.37071,45.0
+['DEBE034'],B Neuk�lln-Nansenstra�e,52.489451,13.430844,35.0
+['DEBE010'],B Wedding-Amrumer Str.,52.542745,13.349119,35.0
+['DEBE062'],"B Frohnau, Funkturm (3.5 m)",52.653149,13.296353,50.0
+['DERP021'],Neuwied-Hafenstra�e,50.424674,7.481394,65.0
+['DERP013'],Westpfalz-Waldmohr,49.423137,7.293522,455.0
+['DENW066'],Nettetal-Kaldenkirchen,51.326943,6.195868,49.0
+['DERP008'],Mainz-Goetheplatz,50.01037,8.254603,85.0
+['DERP020'],Trier-Ostallee,49.754192,6.646762,140.0
+['DESN020'],G�rlitz,51.155801,14.973958,210.0
+['DESN024'],Klingenthal,50.354723,12.468952,540.0
+['DESN025'],Leipzig-Mitte,51.344164,12.377163,110.0
+['DEBE065'],B Friedrichshain-Frankfurter Allee,52.513319,13.469314,40.0
+['DEBE066'],B Karlshorst-Rheingoldstr./K�nigswinterstr.,52.485278,13.529574,35.0
+['DEBY076'],W�rzburg/Kardinal-Faulhaber-Platz,49.794577,9.935939,179.0
+['DENW002'],Datteln-Hagem,51.641383,7.331405,80.0
+['DEHE009'],Frankfurt-Sindlingen,50.080726,8.515592,99.0
+['DEBY006'],Augsburg/K�nigsplatz,48.364589,10.895029,492.0
+['DENW024'],Essen-Vogelheim,51.496527,6.981045,47.0
+['DEST081'],Wei�enfels/Promenade,51.201746,11.974423,120.0
+['DEBY026'],Vohburg a.d. Donau/Austra�e,48.769026,11.616808,356.0
+['DESL001'],Berus,49.263905,6.687126,363.0
+['DEST074'],Halle/S�dwest,51.437763,11.972453,100.0
+['DENW102'],Duisburg-Bruckhausen,51.485847,6.735854,28.0
+['DESL006'],Lauterbach,49.18361,6.744856,221.0
+['DEHH074'],Hamburg Billstedt,53.538531,10.102823,18.0
+['DEHH076'],Hamburg Heimfeld,53.467561,9.971706,4.0
+['DERP022'],Bad Kreuznach-Bosenheimer Stra�e,49.842136,7.866208,108.0
+['DESL010'],Saarbr�cken-Burbach,49.244247,6.948776,211.0
+['DERP003'],Ludwigshafen-Mundenheim,49.455378,8.425833,98.0
+['DEBY028'],Kelheim/Regensburger Stra�e,48.909518,11.879245,348.0
+['DEHB012'],Bremen-Oslebshausen,53.124561,8.735047,8.0
+['DENW062'],Bonn-Auerberg,50.75364,7.082676,57.0
+['DENW029'],Hattingen-Blankenstein,51.403005,7.208572,93.0
+['DENW010'],Unna-K�nigsborn,51.547495,7.693835,72.0
+['DERP026'],Frankenthal-Europaring,49.536026,8.35656,95.0
+['DESN006'],Borna,51.125431,12.494156,145.0
+['DESN017'],Freiberg,50.9163,13.346826,393.0
+['DESN019'],Glauchau,50.826001,12.542056,233.0
+['DEST029'],Bernburg,51.803567,11.738975,60.0
+['DESN075'],Plauen-S�d,50.486138,12.138054,343.0
+['DEBY035'],Lindau (Bodensee)/Friedrichshafener Stra�e,47.554391,9.690021,403.0
+['DEBE018'],B Sch�neberg-Belziger Stra�e,52.486134,13.348416,40.0
+['DEBE061'],B Steglitz-Schildhornstr.,52.463592,13.318308,45.0
+['DEBE063'],B Neuk�lln-Silbersteinstr.,52.467489,13.441809,40.0
+['DEBE064'],B Neuk�lln-Karl-Marx-Str. 76,52.481806,13.433662,40.0
+['DEBW080'],Karlsruhe_Reinhold-Frank-Strasse,49.00793,8.3869,115.0
+['DERP009'],Mainz-Zitadelle,49.994975,8.273965,110.0
+['DEST076'],Magdeburg/Damaschkeplatz,52.132025,11.623397,50.0
+['DEHH059'],Hamburg Wilhelmsburg,53.50793,9.990569,3.0
+['DEBW098'],Mannheim_Friedrichsring,49.492548,8.471011,95.0
+['DEBY003'],Aschaffenburg/Schweinheimer Stra�e,49.971476,9.1508,133.0
+['DEBY010'],Bayreuth/Rathaus,49.947083,11.575756,336.0
+['DEBY033'],Landshut/Podewilsstra�e,48.539801,12.157051,390.0
+['DEBY056'],F�rth/Theresienstra�e,49.47221,10.984705,293.0
+['DEHB006'],Bremen Verkehr 1,53.078663,8.825173,7.0
+['DEHE049'],Kassel-F�nffenster-Str.,51.312076,9.49112,179.0
+['DEHE041'],Frankfurt-Friedb.Ldstr.,50.124589,8.691911,119.0
+['DEBY007'],Augsburg/Bourges-Platz,48.376576,10.88837,477.0
+['DEBY012'],Burghausen/Marktler Stra�e,48.177175,12.829314,420.0
+['DEBY014'],Coburg/Lossaustra�e,50.260578,10.959312,291.0
+['DEBY067'],Schwandorf/Wackersdorfer Stra�e,49.321955,12.128139,380.0
+['DEBY009'],Bamberg/L�wenbr�cke,49.89833,10.887686,231.0
+['DEHH016'],Hamburg Billbrook,53.52902,10.081685,5.0
+['DENW043'],Essen-Ost Steeler Stra�e,51.451177,7.030603,100.0
+['DERP011'],Mainz-Rheinallee,50.009954,8.265563,85.0
+['DERP012'],Mainz-Gro�e Langgasse,49.998837,8.268996,85.0
+['DERP035'],Kaiserslautern-Marienplatz,49.441721,7.761271,230.0
+['DESL013'],Saarlouis-Fraulautern,49.322646,6.753639,181.0
+['DERP041'],Ludwigshafen-Heinigstra�e,49.47869,8.443654,94.0
+['DEBY054'],N�rnberg/Ziegelsteinstra�e,49.477067,11.105848,320.0
+['DEBY043'],M�nchen/Moosach,48.179023,11.514714,508.0
+['DERP010'],Mainz-Parcusstra�e,50.000973,8.261277,85.0
+['DERP036'],Trier Kaiserstra�e,49.750128,6.636977,140.0
+['DENI067'],Osnabr�ck-Verkehr,52.2703,8.04147,63.0
+['DEHE040'],Darmstadt-H�gelstra�e,49.869457,8.653745,158.0
+['DEHH026'],Hamburg Stresemannstra�e,53.560632,9.957236,20.0
+['DENW100'],M�nchengladbach D�sseldorfer Stra�e,51.169967,6.458842,51.0
+['DENW101'],Dortmund Steinstra�e,51.519639,7.464347,74.0
+['DESN077'],Leipzig L�tzner Str. 36,51.335872,12.334686,113.0
+['DENW112'],Duisburg Kardinal-Galen-Stra�e,51.437708,6.771801,34.0
+['DENW116'],Krefeld (Hafen),51.342561,6.670195,30.0
+['DETH072'],Suhl F.-K�nig-Str,50.61153,10.693092,430.0
+['DENW133'],Hagen Graf-von-Galen-Ring,51.362829,7.46353,106.0
+['DEBY110'],Augsburg/Karlstra�e,48.370371,10.896821,485.0
+['DEBY111'],Bayreuth/Hohenzollernring,49.943637,11.570088,337.0
+['DESH026'],L�beck Gr. Burgstr.,53.872916,10.691036,13.0
+['DEHH072'],Hamburg Finkenwerder West,53.535958,9.84408,0.0
+['DESH025'],Itzehoe Lindenstr.,53.928028,9.511769,30.0
+['DEHH064'],Hamburg Kieler Stra�e,53.564399,9.94458,16.0
+['DEST091'],Dessau Albrechtsplatz,51.840583,12.244763,60.0
+['DETH043'],Erfurt Bergstr.,50.984874,11.019353,195.0
+"['DEBB045'],""Frankfurt (Oder), Leipziger Str."",52.337336,14.538595,56.0"
+['DEBB054'],Potsdam Zeppelinstr.,52.393932,13.037474,31.0
+['DERP042'],Pirmasens Sch�ferstr.,49.199942,7.603053,361.0
+['DEST075'],Halle/Merseburger Strasse,51.475183,11.983415,100.0
+['DEST095'],Aschersleben,51.759554,11.449438,125.0
+['DENW134'],Essen Gladbecker Stra�e,51.477931,7.005278,55.0
+['DENW136'],Dortmund Brackeler Stra�e,51.523567,7.483597,76.0
+['DEBY114'],M�nchen/Prinzregentenstra�e,48.142739,11.59228,510.0
+"['DEBE068'],""B Mitte, Br�ckenstra�e"",52.513602,13.41883,35.0"
+['DENW082'],D�sseldorf Corneliusstra�e,51.21311,6.782565,37.0
+['DESL020'],Saarbr�cken-Verkehr,49.23074,7.003174,192.0
+['DEBE067'],B Hardenbergplatz,52.506604,13.332839,35.0
+['DEBY116'],Erlangen/Pfarrstra�e,49.602631,11.001316,266.0
+['DESN083'],Chemnitz-Leipziger Str.,50.84574,12.903367,327.0
+['DESN084'],Dresden-Bergstr.,51.026294,13.731608,150.0
+['DEBY119'],W�rzburg/Stadtring S�d,49.790526,9.947654,198.0
+['DENW180'],Grevenbroich-Gustorf,51.063766,6.559477,58.0
+['DERP045'],Koblenz-Hohenfelder Stra�e,50.359605,7.592515,70.0
+['DENW181'],Warstein,51.443012,8.360714,315.0
+['DENI068'],G�ttingen-Verkehr,51.5302,9.92833,150.0
+['DEHH068'],Hamburg Habichtstra�e,53.592301,10.053859,12.0
+['DEHH070'],Hamburg Max-Brauer-Allee II (Stra�e),53.555668,9.943012,25.0
+['DEMV020'],Rostock Am Strande,54.092278,12.141994,1.0
+['DEST099'],Magdeburg/Reuterallee,52.131187,11.631291,50.0
+['DENW189'],Wuppertal Gathe,51.260681,7.147401,160.0
+['DENW188'],Oberhausen M�lheimer Stra�e 117,51.474971,6.863657,42.0
+['DETH084'],Weimar K.-Liebknecht-Str.,50.983285,11.325787,220.0
+['DESH030'],Norderstedt,53.681993,9.997256,26.0
+['DEBY120'],N�rnberg/Von-der-Tann-Stra�e,49.440478,11.036096,308.0
+['DENW208'],Gelsenkirchen Kurt-Schumacher-Stra�e,51.527883,7.084597,40.0
+['DENW207'],Aachen Wilhelmstra�e,50.773131,6.095775,163.0
+['DENW204'],Bochum Herner Stra�e,51.51101,7.210565,70.0
+['DENW203'],Herne Recklinghauser Stra�e,51.543141,7.150186,40.0
+['DENW201'],Bottrop Peterstra�e,51.519262,6.924268,59.0
+['DENW211'],K�ln Clevischer Ring 3,50.962857,7.00459,48.0
+['DENW212'],K�ln Turiner Stra�e,50.947367,6.957701,49.0
+"['DEBB068'],""Bernau, Lohm�hlenstr."",52.677651,13.582269,71.0"
+['DEHE059'],Fulda-Petersberger Str.,50.550028,9.684854,277.0
+['DEBY115'],M�nchen/Landshuter Allee,48.149606,11.536513,521.0
+['DEBW122'],Freiburg Schwarzwaldstra�e (V),47.988535,7.859872,287.0
+['DEBW118'],Stuttgart Am Neckartor (S),48.788251,9.191389,235.0
+['DEBW136'],T�bingen M�hlstra�e (S),48.520319,9.057975,344.0
+['DEHE094'],Reinheim,49.827775,8.832221,161.0
+['DENI072'],Burgdorf-Verkehr,52.4465,10.00882,58.0
+['DESH034'],Pinneberg Damm,53.659575,9.805229,7.0
+['DESN091'],Zwickau-Werdauer Str.,50.720405,12.486621,267.0
+"['DEBE069'],""B Mariendorf, Mariendorfer Damm"",52.438209,13.387636,50.0"
+['DETH093'],Weimar Schwanseestr.,50.982544,11.3204,224.0
+['DETH094'],M�hlhausen Kiliansgr.,51.208535,10.465835,205.0
+['DENW259'],M�nchengladbach Friedrich-Ebert-Stra�e,51.169437,6.439975,69.0
+['DENW260'],M�nster Weseler Stra�e,51.953267,7.619387,63.0
+['DENW258'],D�ren Schoeller Stra�e,50.806718,6.492787,138.0
+['DENW256'],Mettmann Breite Stra�e,51.25007,6.978666,117.0
+['DERP046'],Neuwied-Hermannstra�e,50.431398,7.460812,65.0
+['DENI075'],Braunschweig-Verkehr,52.26673,10.54055,81.0
+['DEBW147'],Reutlingen Lederstra�e Ost (S),48.489348,9.210745,379.0
+['DEST103'],Magdeburg Schleinufer,52.120905,11.632755,53.0
+['DEBW116'],Stuttgart Hohenheimer Stra�e (S),48.768659,9.184538,307.0
+['DEBW120'],Leonberg Grabenstra�e (S),48.801583,9.016748,388.0
+['DEBW121'],Pleidelsheim Beihinger Stra�e (S),48.959332,9.205008,197.0
+['DEHH078'],Hamburg Simon-von-Utrecht-Stra�e 66,53.551042,9.965585,16.0
+['DENW292'],Schwerte H�rder Stra�e,51.44654,7.56363,127.0
+['DESN093'],Brockau,50.608136,12.211112,430.0
+['DEUB022'],Angerm�nde,53.030096,13.99056,56.0
+['DENW003'],Bergkamen,51.623744,7.651681,72.0
+['DENW049'],Hilden,51.166511,6.950153,58.0
+['DENW027'],Bochum,51.47216,7.235706,85.0
+['DETH021'],M�hlhausen Brunnenstr.,51.205331,10.463465,205.0
+"['DEBB087'],""Cottbus, W.-K�lz-Str."",51.75413,14.325549,75.0"
+['DEBY121'],Oberaudorf/Inntal-Autobahn,47.648459,12.188324,469.0
+['DEMV023'],Schwerin-Obotritenring,53.631805,11.398332,58.0
+['DEHE035'],Kassel-S�d,51.298853,9.48064,148.0
+['DEBY040'],M�nchen/Pasing,48.146348,11.465602,531.0
+['DEBW047'],Calw,48.710049,8.741152,332.0
+['DESH009'],L�beck-Beckergrube,53.870918,10.685821,2.0
+['DENW051'],Langenfeld-Reusrath,51.09111,6.976432,65.0
+['DEBE020'],B Neuk�lln-Ederstra�e,52.475428,13.455524,35.0
+['DENW060'],Wesseling,50.826639,6.967721,58.0
+['DEBB050'],Bernau,52.684197,13.583773,74.0
+['DETH065'],Oberpreilipp b. Rudolstadt,50.696882,11.345597,271.0
+['DETH073'],Dorndorf-Steudnitz,51.01126,11.692276,145.0
+['DENW103'],Dortmund-H�rde (2),51.493494,7.510091,125.0
+['DESN058'],Dresden Lohrmannstr.,51.018429,13.789946,118.0
+['DEHH037'],HH Osterstra�e (Stra�e),53.575941,9.953052,16.0
+['DEHH013'],HH Waltershof,53.527826,9.900703,6.0
+['DEUB006'],Hohenwestedt,54.118182,9.705468,75.0
+['DEST025'],Merseburg,51.356458,11.988898,100.0
+['DEBW075'],Bretten,49.033255,8.713507,170.0
+['DEBW095'],Herrenberg,48.587883,8.875299,425.0
+['DENI036'],Weserm�ndung,53.494314,8.475495,2.0
+['DEBE001'],B Heiligensee-Krantorweg,52.621633,13.227052,35.0
+['DEBE053'],B Lichtenberg-Rhinstr.,52.514178,13.518674,45.0
+['DEUB032'],Leinefelde,51.392868,10.312378,356.0
+['DEBB038'],Prenzlau,53.315821,13.870312,33.0
+"['DEBB070'],""Freienhufen, Hauptstr."",51.583095,13.964951,122.0"
+['DEBW127'],Freiburg Z�hringer Stra�e (S),48.012903,7.854871,250.0
+['DENW036'],Moers-Meerbeck,51.459517,6.648207,28.0
+['DEBW142'],Markgr�ningen Grabenstra�e (S),48.902853,9.081557,280.0
+['DEBE008'],B Haselhorst-Rhenaniastr.,52.555282,13.229622,35.0
+['DENW192'],Pulheim-Stommeln,51.019443,6.759627,51.0
+['DESH002'],Westerb�ttel,53.924222,9.09555,1.0
+['DEBW115'],Mannheim Luisenring (S),49.49377,8.463101,95.0
+['DENW028'],Essen-Schuir (LUA),51.406542,6.965993,153.0
+['DEHH041'],HH Simon-von-Utrecht-Stra�e (Stra�e),53.551103,9.963358,15.0
+['DEST096'],Wolmirstedt/OT Elbeu,52.238709,11.619934,50.0
+['DEST033'],K�then,51.754626,11.97215,80.0
+['DENW016'],Dorsten,51.677753,6.975271,33.0
+['DENW033'],Budberg,51.532659,6.63927,25.0
+['DEHE048'],Lampertheim,49.718447,8.521948,97.0
+['DEMV018'],Zarrentin,53.543687,10.929825,41.0
+['DEBW067'],Lahr,48.336219,7.860237,165.0
+['DEUB009'],Meinerzhagen,51.097588,7.664184,510.0
+['DENW223'],H�rth Luxemburger Stra�e,50.879926,6.890092,64.0
+['DEHH011'],HH �jendorf,53.561653,10.147425,24.0
+['DEBY085'],M�nchen/Luise-Kiesselbach-Platz,48.113103,11.517228,544.0
+['DESH024'],Neum�nster,54.072434,9.980792,25.0
+['DEHE014'],Kassel-Nord,51.340136,9.480971,170.0
+['DENW045'],Ratingen,51.292167,6.858126,62.0
+['DEHH005'],HH Rahlstedt,53.597629,10.143868,24.0
+['DENI074'],Hameln-Verkehr,52.104039,9.367038,67.0
+['DEST007'],Sch�nebeck (SO2-Messstelle),52.019481,11.742122,45.0
+['DENW174'],Witten-Mitte,51.434302,7.333038,87.0
+['DENW113'],Castrop-Rauxel,51.580631,7.303222,58.0
+['DENW077'],Hagen Emilienplatz,51.360882,7.476076,115.0
+['DEBY027'],Kahl a. Main/Wasserturm,50.068743,9.006668,107.0
+['DENW097'],Wuppertal Friedrich-Engels-Allee,51.265109,7.183781,155.0
+['DEBB043'],Luckau,51.855585,13.706502,62.0
+['DETH087'],Zella-Mehlis Bahnhofstr.,50.649691,10.672277,525.0
+['DETH055'],M�hlhausen K.-Marx-Str.,51.209308,10.465108,200.0
+['DEBW060'],Tuttlingen,47.985655,8.807748,643.0
+['DESL005'],Ensdorf,49.305934,6.78943,213.0
+['DETH082'],Jena Camburger Str.,50.936373,11.589781,145.0
+['DENW220'],Recklinghausen Bochumer Stra�e,51.577442,7.213413,52.0
+['DENW137'],Hagen Wehringhauser Stra�e,51.354904,7.453887,109.0
+['DEHE038'],Witzenhausen-Stadt,51.341371,9.858779,147.0
+['DETH081'],Erfurt Heinrichstr,50.972331,11.010446,210.0
+['DETH048'],Apolda A.-Bebel-Str.,51.02252,11.515936,170.0
+['DEBW089'],Wertheim,49.779239,9.505271,147.0
+['DEST068'],Pouch,51.629384,12.389075,80.0
+['DEHE004'],Frankfurt-Griesheim _,50.094514,8.60758,99.0
+['DEST005'],Magdeburg/Zentrum,52.137853,11.642119,50.0
+['DENW069'],Uedesheim,51.163266,6.781392,37.0
+['DENW001'],Werne-Evenkamp,51.668249,7.654235,64.0
+['DEBY061'],Passau/Kleiner Exerzierplatz,48.572229,13.456373,309.0
+['DESN078'],Deutscheinsiedel,50.627576,13.49422,697.0
+"['DEBB020'],""Potsdam-Hermannswerder, 93-2000"",52.386748,13.039659,32.0"
+['DEHH048'],HH Max-Brauer-Allee (Stra�e),53.555491,9.942706,25.0
+['DEBE006'],B Wittenau-R�dernallee,52.586382,13.344852,45.0
+['DEHE025'],K�nigstein,50.199279,8.437208,526.0
+['DERP030'],Trier Th.-Heuss-Allee,49.758331,6.649329,140.0
+['DEHB008'],Bremen Verkehr 3,53.559492,8.593087,4.0
+['DEBW076'],Baden-Baden,48.773256,8.219629,150.0
+['DEHH071'],HH Billwerder,53.51908,10.121845,1.0
+['DEUB014'],Starnberg,47.921975,11.225198,729.0
+['DEHE016'],Mainz-Kastel,50.007788,8.290221,88.0
+['DEBW025'],Esslingen,48.727388,9.334038,240.0
+['DEHE002'],Biebesheim,49.775228,8.487024,89.0
+['DERP029'],Koblenz-Zentralplatz,50.359164,7.595493,68.0
+['DEHH020'],HH Kirchdorf,53.490921,10.020449,1.0
+['DENW284'],Iserlohn Hohler Weg 27,51.374444,7.697778,242.0
+['DENW052'],Pulheim,51.007875,6.790674,45.0
+['DEBW113'],Rastatt-West,48.858972,8.152135,112.0
+['DENW014'],Herdecke,51.417094,7.415356,175.0
+['DENW031'],Spellen,51.59836,6.622872,25.0
+['DEBW105'],Kenzingen BAB,48.193707,7.746719,174.0
+['DEBW145'],Heidenheim Wilhelmstra�e (S),48.679331,10.151042,480.0
+['DEST057'],Magdeburg/S�dost,52.10337,11.642585,51.0
+['DESN085'],Dresden-HerzoginGarten,51.054798,13.72872,112.0
+['DEUB012'],Rottenburg,48.454714,8.956741,427.0
+['DEST027'],Wei�enfels (SO2-Messstelle),51.201853,11.971332,120.0
+['DEHH044'],HH Barnerstra�e (Stra�e),53.55654,9.929297,28.0
+['DEST061'],Sch�nebeck,52.020888,11.728127,50.0
+['DEHH043'],HH Bremer Stra�e (Stra�e),53.456897,9.979141,14.0
+['DEBW093'],Br�hl,49.403582,8.534655,100.0
+['DEBW036'],T�bingen Alter Botanischer Garten,48.524401,9.058548,330.0
+['DEBE015'],B Tiergarten-Bachstra�e,52.519043,13.339109,35.0
+['DETH089'],Gera Theaterstr.,50.884912,12.074495,190.0
+['DESN037'],Plauen 1 - Rathaus,50.495231,12.13467,405.0
+['DEUB023'],Doberlug,51.645352,13.574724,97.0
+['DENW225'],Gevelsberg Hagener Stra�e,51.320635,7.344286,159.0
+['DEBW069'],Leonberg,48.795541,9.016338,385.0
+['DEUB027'],Teterow,53.76218,12.616373,46.0
+['DETH008'],P��neck,50.695512,11.591628,215.0
+['DESN008'],Chemnitz-Mitte1 Bretgasse,50.831214,12.919299,300.0
+['DENW227'],L�nen-Alstedde,51.627353,7.485401,55.0
+['DEBY055'],N�rnberg/Olgastra�e,49.434732,11.049104,312.0
+['DETH075'],Jena Westbahnhofstr.,50.924811,11.579086,176.0
+['DENW007'],Frohlinde,51.531143,7.348277,110.0
+['DENW257'],Inden-Lamersdorf,50.851221,6.352322,110.0
+['DENW022'],Gelsenkirchen-Bismarck,51.533646,7.101786,40.0
+['DESN057'],Mittelndorf,50.9385,14.21016,323.0
+['DEBE045'],B Pankow-Blankenfelder Str.,52.591087,13.404021,45.0
+['DEBB006'],Cottbus-S�d,51.740765,14.322828,76.0
+['DEBY066'],Schwabach/Dr.-Ehlen-Stra�e,49.323705,11.071398,338.0
+['DEBE017'],B Schmargendorf-Lentzeallee,52.470555,13.294952,50.0
+['DESN034'],Olbernhau,50.661578,13.337315,448.0
+['DENI019'],Solling,51.759751,9.577714,500.0
+['DENW222'],Halle (Westfalen) Lange Stra�e,52.061461,8.360942,130.0
+['DEBW083'],Freiburg-Nord,47.999719,7.854935,260.0
+['DEHH004'],HH Wandsbek-Gartenstadt,53.598206,10.081942,12.0
+['DESN014'],Dresden-Mitte,51.051248,13.729886,112.0
+['DEHB011'],Cherbourger Stra�e,53.585262,8.59876,4.0
+['DENW099'],Aachen Kaiserplatz,50.774785,6.095877,170.0
+['DEHH023'],HH Neuland,53.450443,10.0255,10.0
+['DEST022'],Halle/Zentrum,51.483191,11.978359,100.0
+['DENW135'],Essen Hombrucher Stra�e,51.457068,7.04651,103.0
+['DETH025'],Meiningen,50.571506,10.41488,285.0
+['DEBW012'],Stuttgart-Mitte,48.775865,9.164834,260.0
+['DESH032'],Neustadt in Holstein,54.106459,10.808084,1.0
+['DEBY045'],M�nchen/Westendstra�e,48.131567,11.519369,531.0
+['DETH019'],Erfurt Kart�userstr.,50.969578,11.024188,190.0
+['DEUB026'],Ueckerm�nde,53.734957,14.070766,1.0
+['DEHH069'],HH Braamkamp (Stra�e),53.600687,10.003454,19.0
+['DEBE014'],B Charlottenburg-Stadtautobahn,52.517428,13.282185,50.0
+['DEUB038'],Aukrug,54.073119,9.791583,15.0
+['DETH037'],Jena Schillerg��chen,50.925111,11.58271,155.0
+['DEUB031'],L�ckendorf,50.827698,14.78617,490.0
+['DEST097'],Hettstedt Industrie,51.625945,11.511946,160.0
+['DENW218'],W�lfrath,51.275606,7.023972,197.0
+['DETH086'],Suhl Adlersbergstr.,50.629833,10.708347,555.0
+['DENW072'],D�sseldorf-M�rsenbroich,51.250728,6.801185,38.0
+['DETH007'],Rudolstadt Schwarzb.Ch.,50.718386,11.328331,192.0
+['DEST071'],Sangerhausen,51.478414,11.300392,150.0
+"['DEBB031'],""K�nigs Wusterhausen,1993-2008"",52.292254,13.62779,36.0"
+['DEHH057'],Hamburg Marckmannstr.,53.534663,10.048428,42.0
+['DERP031'],Pirmasens Park-Brauerei,49.205249,7.604701,355.0
+['DEUB008'],Rodenberg,52.306686,9.390402,148.0
+['DEBY038'],M�nchen/Effnerplatz,48.152355,11.613807,522.0
+['DEBB012'],Herzberg,51.692932,13.228909,80.0
+['DESL009'],Saarbr�cken Malstatter Str. (Dach),49.234052,6.971257,221.0
+['DEHH060'],HH Lenhartzstra�e (Stra�e),53.586409,9.981878,6.0
+['DEBE035'],B Tempelhof-G.-Dunkel-Str.,52.45884,13.415258,50.0
+"['DEBB069'],""Belzig, Niemegker Str."",52.142081,12.589189,85.0"
+['DEUB020'],Schwerin,53.637527,11.39372,59.0
+['DENW025'],Altendorf,51.458512,6.96627,70.0
+['DEBW091'],Titisee-Neustadt,47.898178,8.144058,850.0
+['DEBB009'],Forst,51.744028,14.640592,75.0
+['DEBW014'],Stuttgart-Hafen,48.752251,9.265529,235.0
+['DEUB017'],Regnitzlosau,50.306614,12.062138,595.0
+['DEST032'],Genthin,52.407717,12.157346,40.0
+['DEST082'],Amsdorf,51.464346,11.72079,80.0
+['DEBY091'],Kirchdorf a. Inn/Schulstra�e,48.231197,12.971765,352.0
+['DEBW008'],Weinheim,49.553261,8.655885,101.0
+['DESH007'],Kiel-Sch�tzenwall  Verk.,54.319766,10.123092,17.0
+['DENW019'],Recklinghausen,51.603537,7.221948,67.0
+['DEHH046'],HH Flughafen Nordost,53.641245,10.010089,15.0
+"['DEBB047'],""Potsdam, Zeppelinstr.-S�d"",52.393763,13.033837,31.0"
+['DEHH001'],HH Eidelstedt,53.599662,9.906764,18.0
+"['DENW268', 'DENW141']",M�nster Steinfurter Stra�e,51.968342,7.613466,60.0
+['DENW012'],Witten-Annen,51.444267,7.358404,105.0
+['DEMV001'],Selmsdorf,53.868073,10.901677,63.0
+['DEBW114'],Schw�bisch Gm�nd Lorcher Stra�e (S),48.799945,9.78855,320.0
+['DEBW053'],K�nzelsau,49.2797,9.693028,214.0
+['DENW206'],Solingen Konrad-Adenauer-Stra�e,51.176151,7.084069,222.0
+['DEBB008'],Finsterwalde,51.636483,13.710116,110.0
+['DESN012'],Delitzsch,51.530235,12.337596,100.0
+['DESH005'],L�beck-Sch�nb�cken,53.871308,10.635382,16.0
+['DEBW016'],Neckarsulm,49.199058,9.227778,160.0
+['DEUB036'],Murnauer Moos,47.650521,11.202008,622.0
+['DEBE023'],B Lankwitz-Leonorenstr.,52.444425,13.341257,40.0
+['DENI073'],Celle-Verkehr,52.624733,10.086517,40.0
+['DEBW101'],Heidelberg Schwimmbad,49.421366,8.658185,110.0
+['DESN048'],Auerbach,50.509998,12.39834,459.0
+['DETH066'],P��neck Stadthalle,50.698556,11.600649,211.0
+['DENW017'],Polsum,51.627588,7.059401,54.0
+['DESN005'],B�hlen,51.200323,12.384814,130.0
+['DENW032'],Bruckhausen,51.598488,6.754203,32.0
+['DENW005'],Brambauer,51.602791,7.445656,90.0
+['DEHH039'],HH Krohnstieg (Stra�e),53.645704,9.976253,16.0
+['DENW020'],Gladbeck,51.581316,7.006391,80.0
+['DEBE025'],B Britz-Parchimer Allee,52.446643,13.457516,35.0
+['DENW093'],Ladbergen,52.131341,7.726072,49.0
+['DETH017'],Apolda Busbahnhof,51.027707,11.516068,165.0
+['DEST084'],Burg (SO2-Messstelle),52.270413,11.853464,40.0
+['DEHH054'],HH Bergedorf,53.497003,10.206631,13.0
+['DEBE019'],B Hasenheide-Columbiadamm,52.477706,13.415863,45.0
+['DENW224'],Dinslaken Wilhelm-Lantermann-Stra�e,51.564752,6.740662,29.0
+['DEHH006'],HH Hochkamp,53.560597,9.842533,30.0
+"['DEBB040'],""Nauen, 1997-2002"",52.609568,12.876507,32.0"
+['DESN050'],Hoyerswerda,51.436885,14.254335,117.0
+['DETH014'],Sondershausen,51.365459,10.872744,215.0
+['DEHE015'],Maintal,50.136775,8.829439,105.0
+['DEHH052'],HH Grindelallee (Stra�e),53.568898,9.97954,12.0
+['DENW056'],Riehl,50.969329,6.988825,40.0
+['DETH039'],Weimar Sophienstiftsplatz,50.979432,11.323165,220.0
+['DEST001'],Stendal (SO2-Messstelle),52.607416,11.853822,35.0
+['DEST100'],Wernigerode/N�schenr�der-Strasse,51.830377,10.790677,228.0
+['DEHE029'],Dillenburg,50.740257,8.284231,239.0
+['DERP033'],Kaiserslautern-Eisenbahnstr.,49.445165,7.763805,230.0
+['DEST018'],Hettstedt (SO2-Messstelle),51.649339,11.507274,175.0
+['DEBW020'],Rastatt,48.853734,8.225808,117.0
+['DEUB040'],Schorfheide,52.97347,13.64578,70.0
+['DENW187'],M�lheim Aktienstra�e 152/154,51.441164,6.896149,80.0
+['DEHH019'],HH Hohe Schaar,53.493169,9.966263,6.0
+['DENW054'],Leverkusen,51.038399,7.005982,45.0
+['DEHH030'],HH Blankenese-Elbhang,53.56233,9.792843,20.0
+['DEUB016'],Gittrup,52.042514,7.672209,43.0
+['DEBB010'],Guben,51.948542,14.712247,46.0
+['DETH002'],Gera Berliner Str.,50.894034,12.079189,200.0
+['DEST078'],Naumburg,51.156602,11.818218,130.0
+['DEBB024'],Senftenberg,51.520837,13.999485,103.0
+['DEHH010'],HH Horner Rennbahn,53.55955,10.083974,12.0
+['DEBW003'],Oberkirch,48.530169,8.077751,190.0
+['DEHH062'],HH Blankenese-Anleger,53.555866,9.8054,2.0
+['DEBB051'],Waldsieversdorf,52.54136,14.057456,47.0
+['DEBE011'],B Wedding/Prenzl. Berg-Behmstr.,52.550289,13.396082,45.0
+['DENW047'],Neuss,51.182623,6.693875,40.0
+['DEBW049'],Emmendingen,48.11914,7.848926,200.0
+['DEBE033'],B Siemensstadt-Motardstr.,52.532495,13.259938,35.0
+['DEBW096'],Ulm-Stra�e,48.392988,9.980065,490.0
+['DEHB009'],Pappelstr,53.066724,8.793454,4.0
+['DEHE003'],Frankfurt-Bockenheim,50.123433,8.634462,99.0
+['DEBW072'],Bruchsal,49.123226,8.582829,113.0
+['DEBW108'],Karlsruhe-B10-Nord,49.036885,8.322666,105.0
+['DEST070'],Harzgerode,51.65717,11.147791,385.0
+['DEBW106'],Leonberg-BAB,48.784975,9.013272,365.0
+['DENI008'],Braunschweig Verkehr_alt,52.263331,10.524609,72.0
+['DEBW104'],Holzhausen BAB,48.068025,7.810488,200.0
+['DEBE009'],B Tegel-Flughafen,52.551061,13.288475,35.0
+['DESN002'],Aue,50.58776,12.702311,348.0
+['DEBB037'],R�dersdorf,52.468096,13.792273,48.0
+['DEHH040'],HH Theodor-Heuss-Platz (Stra�e),53.561358,9.989403,9.0
+['DEST034'],Quedlinburg,51.788292,11.145903,120.0
+['DEBB018'],Oranienburg,52.756744,13.24624,35.0
+['DENW143'],Elsdorf-Angelsdorf,50.93592,6.55098,83.0
+['DEBY078'],W�rzburg/Theodor-Heuss-Damm,49.773281,9.93775,172.0
+['DEBE049'],B Sch�neweide-Wilhelminenhofstr.,52.46024,13.519759,35.0
+['DENW226'],Essen-Kray,51.470071,7.076603,74.0
+['DENW186'],Bielefeld Stapenhorststra�e 59,52.026236,8.521576,127.0
+['DETH091'],M�hlhausen Wanfrieder Str,51.205466,10.448476,220.0
+['DEBW035'],B�blingen,48.691139,9.013926,445.0
+['DETH062'],Bergern bei Bad Berka,50.917056,11.282369,368.0
+['DEBW086'],Breisach,48.027689,7.580803,190.0
+['DENW076'],Ladbergen,52.13706,7.741408,49.0
+['DESH029'],Kiel - Theodor-Heuss-Ring,54.303894,10.122691,14.0
+['DEHH017'],HH M�mmelmannsberg,53.522982,10.150904,24.0
+['DEUB024'],Kyritz,52.93749,12.40943,40.0
+['DESH003'],Geesthacht,53.435734,10.332118,5.0
+"['DEBB035'],""Frankfurt (Oder), 1994-1997"",52.345667,14.544556,52.0"
+['DETH067'],Unterwellenborn,50.661988,11.431974,260.0
+['DEBY017'],Erlangen/H�usling,49.589985,10.933278,300.0
+['DESL004'],Diefflen,49.370186,6.767132,188.0
+['DEHH035'],HH Winsener Stra�e (Stra�e),53.448052,9.989325,12.0
+['DESN036'],Pirna,50.959018,13.935698,118.0
+['DENW044'],Einbrungen,51.318117,6.743853,33.0
+['DENW199'],M�nster Weseler Stra�e 22,51.95444,7.619744,59.0
+['DEUB003'],Brotjacklriegel,48.81707,13.2181,1016.0
+['DEST067'],Wolfen,51.681892,12.263093,85.0
+['DENW050'],Dormagen-Horrem,51.103534,6.804104,44.0
+['DEHE033'],Borken,51.080401,9.278937,225.0
+['DENW138'],Neuss Friedrichstra�e,51.193669,6.692611,40.0
+['DEHE034'],Nidda,50.416615,9.001078,193.0
+['DEHH036'],HH Fuhlsb�ttler Stra�e (Stra�e),53.594948,10.044106,16.0
+['DEBB001'],Burg (Spreewald),51.83759,14.141703,54.0
+['DENW037'],Duisburg-Meiderich,51.464874,6.787487,30.0
+['DEHH058'],HH Holstenstra�e (Stra�e),53.560479,9.948281,21.0
+['DEMV005'],Schwerin,53.63773,11.408899,42.0
+['DEBW074'],Schramberg,48.222864,8.386163,443.0
+['DENW217'],J�chen,51.097797,6.510628,74.0
+['DEBY059'],N�rnberg/Langwasser,49.430645,11.103631,320.0
+['DENW063'],Horn-Bad Meinberg (Egge),51.830953,8.950596,430.0
+['DEBW077'],Ulm-S�d,48.354033,9.97655,488.0
+['DETH085'],K�nitz Herthumstr.,50.656098,11.489851,310.0
+['DEHH012'],HH Finkenwerder,53.523741,9.844817,5.0
+['DEST036'],Zerbst,51.966881,12.090015,65.0
+['DEUB035'],Lehnm�hle,50.828468,13.586548,527.0
+['DEBW143'],Schramberg Oberndorfer Stra�e (S),48.229182,8.390423,470.0
+['DEHE019'],Viernheim,49.54612,8.578802,101.0
+['DEHB007'],Bremen Verkehr 2,53.066679,8.783025,4.0
+['DEUB033'],Melpitz,51.524268,12.925878,86.0
+['DEBY034'],Lauf a.d. Pegnitz/Albertistra�e,49.506503,11.273914,320.0
+['DEBE047'],B Friedrichshain-K.-Marx-Allee,52.515918,13.451705,40.0
+['DEBB016'],Ludwigsfelde,52.296161,13.256121,41.0
+['DEBW058'],Singen,47.761836,8.831185,440.0
+"['DEBB039'],""Bernau, Altersheim"",52.680499,13.582088,74.0"
+['DEBW021'],Kehl-S�d,48.562062,7.827068,137.0
+['DEBY069'],Selb/Jean-Paul-Stra�e,50.176365,12.128363,572.0
+['DENW197'],Eschweiler-Weisweiler,50.829652,6.316014,126.0
+['DEBW094'],Isny,47.693476,10.034746,700.0
+['DENW039'],Duisburg-Kaldenhausen,51.388803,6.653514,30.0
+['DETH064'],Weimar Bahnhof,50.992746,11.321832,251.0
+['DEBB030'],Premnitz,52.531568,12.341811,30.0
+['DEBW066'],Leonberg Ost,48.78493,9.013272,365.0
+['DEHH042'],HH Tarpenbekstra�e (Stra�e),53.59393,9.984047,8.0
+['DENW026'],Leithe,51.455602,7.092825,97.0
+"['DEBB028'],""Wittenberge,1993-2002"",52.99445,11.75953,22.0"
+['DEBW051'],Heilbronn-Mitte,49.145794,9.221365,160.0
+['DEUB021'],Wiesenburg,52.121315,12.460598,107.0
+['DENW202'],Siegen Sandstra�e,50.875478,8.020665,307.0
+['DESN038'],Plauen,50.492075,12.142413,335.0
+['DENW013'],Schwerte,51.447672,7.582803,117.0
+['DEBW102'],Bad Waldsee,47.915565,9.754411,610.0
+['DEBY090'],Oberaudorf/Kranzhornstra�e,47.647439,12.173598,482.0
+['DEHH009'],HH L�becker Stra�e,53.559145,10.028129,14.0
+['DEHH002'],HH Lokstedt,53.599238,9.96113,11.0
+['DETH088'],Nordhausen Grimmelallee,51.507301,10.784668,185.0
+['DEBW045'],Balingen,48.27477,8.854501,520.0
+['DEHE031'],Fulda,50.55356,9.698524,308.0
+['DETH031'],Suhl,50.611541,10.693233,430.0
+['DEUB019'],Schleiz,50.568862,11.804445,501.0
+['DEST073'],Dessau/Verkehr,51.831045,12.241911,60.0
+['DEBB003'],Brandenburg a.d. Havel,52.412114,12.544441,33.0
+['DEST006'],Magdeburg/Zentrum-Ost,52.133597,11.646667,50.0
+['DEBE026'],B Lichterfelde-Wupperstr.,52.409203,13.275527,40.0
+['DEHH051'],HH Steinstra�e (Stra�e),53.549976,10.002102,13.0
+['DEST052'],Hettstedt,51.642166,11.511397,160.0
+['DENW041'],Krefeld-Mitte,51.321891,6.548826,39.0
+['DENW048'],D�sseldorf-Reisholz,51.188824,6.859222,40.0
+['DEHE039'],Burg Herzberg (Grebenau),50.770381,9.459402,491.0
+['DEBY057'],N�rnberg/M�geldorf,49.46273,11.143267,320.0
+['DENW061'],Niederkassel,50.834145,7.028556,49.0
+['DEBW028'],G�ppingen,48.699173,9.669401,318.0
+['DETH083'],Weimar Steubenstr.,50.977462,11.32607,220.0
+['DEBW135'],Herrenberg Hindenburger Stra�e (S),48.594764,8.869072,444.0
+['DEUB013'],Ansbach UBA,49.247286,10.584028,481.0
+['DEST014'],Bitterfeld,51.622965,12.321663,80.0
+['DEBW124'],Heidelberg Karlsruher Stra�e (S),49.379368,8.68718,113.0
+['DEBY015'],Erlangen/Werner-von-Siemens-Stra�e,49.596654,11.017348,280.0
+['DETH012'],Weimar Goetheplatz,50.982121,11.32653,220.0
+['DEBY008'],Augsburg/Haunstetten,48.308269,10.907773,502.0
+['DEHE007'],Frankfurt-Niederrad,50.086136,8.638617,102.0
+['DEHH014'],HH Steinwerder,53.52636,9.973052,8.0
+['DEHE017'],Offenbach,50.10215,8.761242,108.0
+['DEBY064'],Regensburg/Isarstra�e,49.033585,12.124535,337.0
+['DEHH056'],HH Sievekingsallee (Stra�e),53.560099,10.06385,17.0
+['DEST079'],Schkopau (SO2-Messstelle),51.385219,11.976967,100.0
+['DEBW068'],Gaggenau,48.8158,8.305571,135.0
+['DENW023'],Herne-S�d,51.527608,7.223934,70.0
+['DEBB026'],Spremberg-S�d,51.559032,14.375659,104.0
+['DERP032'],Neuwied-Heddesdorfer Stra�e,50.430271,7.462537,65.0
+['DEUB002'],Deuselbach,49.76167,7.05417,480.0
+['DEHH045'],HH Nordschleswiger Stra�e (Stra�e),53.581438,10.068086,13.0
+['DEHH061'],HH Wandsbeker Chaussee (Stra�e),53.564779,10.035421,7.0
+['DESL008'],Nonnweiler,49.632393,7.002143,463.0
+['DESH019'],Kiel-Westring Verk.,54.326394,10.115586,25.0
+['DEBW109'],Karlsruhe-B10-S�d,49.036706,8.322668,105.0
+['DENW205'],Duisburg Friedrich-Ebert-Stra�e,51.411436,6.711957,28.0
+['DENW142'],Krefeld-Gellep-Stratum,51.333393,6.674998,30.0
+['DEBY030'],Saal a.d. Donau/Regensburger Stra�e,48.904228,11.948795,340.0
+['DEHH007'],HH Bahrenfeld,53.561077,9.8999,22.0
+['DEST080'],Schkopau,51.387341,11.982957,100.0
+['DEUB018'],Herleshausen,51.037055,10.152006,380.0
+['DEST031'],Bad D�rrenberg,51.29604,12.061599,100.0
+['DEHH075'],Hamburg Billwerder II,53.518764,10.122063,1.0
+['DESH010'],L�beck-Lindenplatz Verk.,53.866711,10.675006,10.0
+['DETH030'],Zella-Mehlis Jacobi-Str.,50.662638,10.655135,470.0
+['DENW040'],Duisburg-Buchholz,51.385255,6.763001,30.0
+['DEBW092'],Oberhausen-Rheinhausen,49.281013,8.468807,96.0
+['DEBW030'],Welzheimer_Wald,48.884487,9.573016,500.0
+['DENW004'],Castrop-Rauxel-Ickern,51.593151,7.34867,60.0
+['DEST042'],Eisleben,51.535163,11.544962,150.0
+['DESH012'],Kiel-Stadtrand,54.344196,10.10438,25.0
+['DEBE057'],B Karlshorst-Treskowallee,52.482083,13.526401,35.0
+['DESN060'],Chemnitz-Nord,50.846443,12.930547,296.0
+['DENW075'],Finnentrop,51.173432,7.973436,310.0
+['DEUB039'],Falkenberg,52.165568,14.455691,73.0
+['DEHH018'],HH Moorburg,53.490024,9.908942,0.0
+['DEBE046'],B Wei�ensee-Berliner Allee/Wegenerstr.,52.55256,13.468399,50.0
+['DETH080'],Go�witz Lindigweg38,50.637174,11.481376,425.0
+['DENI066'],Hildesheim Verkehr,52.150775,9.950223,60.0
+['DEST063'],Stendal,52.598477,11.864361,35.0
+['DEBW044'],Mosbach,49.36382,9.151446,155.0
+['DESH021'],Kiel Schauenburger Str.,54.332679,10.136176,10.0
+['DEBW057'],Sigmaringen,48.086489,9.207035,580.0
+['DEBB081'],Herzfelde (R�dersdorf),52.497549,13.849006,54.0
+['DESL016'],V�lklingen-City Moltkestr.,49.251387,6.857897,190.0
+['DESL015'],V�lklingen-Heidstock,49.254829,6.886769,227.0
+['DEUB041'],Raisting,47.898844,11.111199,552.0
+['DEBW119'],Stuttgart Siemensstra�e (S),48.811099,9.175299,296.0
+['DEHE027'],Frankenberg,51.096866,8.772858,387.0
+['DEBB034'],Eberswalde,52.835065,13.800704,29.0
+['DEBW082'],Waldenburg,49.201431,9.661751,330.0
+['DEHE010'],Gie�en,50.587592,8.670277,159.0
+['DENW283'],Emmerich-Elten Schmidtstra�e 8,51.873889,6.156389,20.0
+['DENW193'],Kerpen-Buir,50.863246,6.579858,105.0
+"['DEBB059'],""Nauen, Berliner Stra�e"",52.604983,12.875015,37.0"
+['DETH024'],Ilmenau,50.684998,10.916992,480.0
+['DENW196'],Kamp-Lintfort,51.48913,6.530963,27.0
+['DESH031'],Eutin-Elisabethstra�e,54.131465,10.615169,36.0
+['DETH096'],S�mmerda Wielandstr.,51.168082,11.120727,138.0
+['DEBW123'],Reutlingen Lederstra�e (S),48.48961,9.210367,379.0
+['DEHH022'],HH G�hlbachtal,53.453652,9.96386,16.0
+['DEBW050'],Heidenheim,48.663838,10.156296,480.0
+['DEBE016'],B Kreuzberg-Gitschiner Str.,52.497612,13.404721,35.0
+['DEST017'],Eisleben (SO2-Messstelle),51.527727,11.551089,150.0
+['DEST023'],Halle/Zentrum-Nord (SO2-Messstelle),51.493791,11.957184,100.0
+['DEHH053'],HH Lange Reihe (Stra�e),53.55774,10.011614,6.0
+['DEHB003'],Bremen-West,53.111096,8.755619,6.0
+['DEBW097'],Freiburg-Stra�e,47.998303,7.852755,260.0
+['DEUB042'],�hringen,49.240679,9.446662,283.0
+['DEST009'],Halberstadt (SO2-Messstelle),51.884763,11.055916,120.0
+['DENW055'],Vogelsang,50.954927,6.87894,50.0
+['DEUB007'],Bassum,52.850756,8.70038,52.0
+['DENW046'],Gerresheim,51.23286,6.85559,60.0
+['DENW140'],Bielefeld Osnabr�cker Stra�e,52.000467,8.490933,135.0
+['DETH063'],Hetschburg bei Bad Berka,50.914416,11.300742,277.0
+['DERP006'],Ludwigshafen-Pfalzgrafenpl.,49.475732,8.451181,94.0
+['DEMV002'],Rostock,54.093889,12.101389,10.0
+['DENW145'],K�ln Hohenstaufenring,50.934237,6.939603,50.0
+['DEUB034'],Helgoland,54.186712,7.876329,50.0
+['DENW177'],Bielefeld Stapenhorststra�e,52.02727,8.519554,140.0
+['DEHH063'],HH Neuwerk,53.917866,8.497442,1.0
+['DEBW070'],Offenburg alt,48.474345,7.939312,149.0
+['DEBE044'],B Mitte-Parochialstr.,52.516795,13.408869,35.0
+['DEBW048'],Ehingen,48.278434,9.722485,530.0
+['DEBY092'],Weilheim i.OB/Narbonner Ring,47.846873,11.16085,560.0
+['DEBW065'],Ravensburg,47.777027,9.608423,435.0
+['DENW035'],Osterfeld,51.526649,6.87406,76.0
+"['DEBB046'],""Potsdam, Hans-Thoma-Str."",52.403612,13.067241,32.0"
+['DENW261'],Krefeld-Inrath,51.356236,6.529365,38.0
+['DEBB052'],Potsdam-Michendorfer Chaussee,52.348284,13.048527,50.0
+['DEBW032'],Pforzheim-Mitte,48.890574,8.705115,250.0
+['DENW009'],Asseln,51.524177,7.592665,85.0
+['DESH004'],Bargteheide,53.740511,10.267478,50.0
+['DEBB036'],Luckenwalde,52.08918,13.171803,48.0
+['DENW018'],Herten-Langenbochum,51.600385,7.125476,102.0
+['DENW183'],Paderborn Friedrichstr.,51.719552,8.747746,105.0
+['DETH016'],Arnstadt Alter Friedhof,50.837135,10.947154,275.0
+['DEST065'],Wei�enfels,51.198618,11.973623,140.0
+['DESN047'],Zwickau,50.719983,12.492961,265.0
+['DEHE021'],Wiesbaden-Mitte,50.081411,8.243064,118.0
+['DEHE036'],Frankfurt-H�henstra�e,50.123981,8.70025,122.0
+['DEHH065'],HH G�rtnersta�e (Stra�e),53.583575,9.968009,14.0
+['DEUB037'],Gartow,53.068381,11.441906,70.0
+['DEHH055'],HH Harburg,53.460066,9.967393,20.0
+['DEBW002'],Karlsruhe-West,49.009098,8.353802,115.0
+['DETH032'],Gotha,50.950969,10.700863,290.0
+['DEHE012'],Kassel-Bettenhausen,51.306278,9.532496,140.0
+['DENW070'],Meerbusch,51.27024,6.631319,40.0
+['DEHH038'],HH Flughafen S�dwest,53.624532,9.972136,8.0
+['DEHH003'],HH Stadtpark,53.597774,10.029068,8.0
+['DEBY082'],Garmisch-Partenkirchen/Wankgipfel,47.508497,11.142889,1770.0
+['DEBW041'],Rheinfelden,47.563144,7.789067,285.0
+['DETH029'],Sonneberg,50.358495,11.167539,380.0
+['DEBW100'],Stuttgart-Vaihingen-Stra�e,48.730066,9.113306,410.0
+['DEBE005'],B Tegel-Buddestra�e,52.587014,13.288054,35.0
+['DENW057'],Frechen,50.91858,6.808561,68.0
+['DEBY093'],Sulzbach-Rosenberg/Lohe,49.487983,11.786341,393.0
+['DEBY073'],Tirschenreuth/Friedhofweg,49.879005,12.332446,504.0
+['DENW098'],M�nster Friesenring,51.974773,7.618435,60.0
+['DENW073'],Borken,51.849404,6.862887,42.0
+['DENW011'],Dortmund-H�rde,51.49159,7.498025,110.0
+['DEBW117'],Ludwigsburg Friedrichstra�e (S),48.889192,9.189702,296.0
+['DENW115'],Krefeld-Stahldorf,51.307612,6.557419,40.0
+['DEUB025'],Lindenberg,52.210634,14.119532,98.0
+['DESN028'],Leipzig-S�d,51.318726,12.377628,120.0
+['DEBW054'],Rottweil,48.169689,8.619857,660.0
+['DENW221'],Witten Ardeystra�e,51.440164,7.344745,120.0
+['DEBY004'],Kleinwallstadt/Hofstetter Stra�e,49.869422,9.171544,124.0
+['DEBY088'],Trostberg/Schwimmbadstra�e,48.021657,12.538174,488.0
+['DENI053'],S�doldenburg,52.99796,7.94257,40.0
+['DENI043'],Emsland,52.49855,7.31747,30.0
+['DEBY021'],Ingolstadt/Rechbergstra�e,48.769444,11.428766,374.0
+['DERP002'],Ludwigshafen-Mitte,49.482316,8.438589,93.0
+['DESL012'],Saarbr�cken-City,49.233464,6.987601,192.0
+['DENI048'],Hannover Verkehr,52.3595,9.71577,60.0
+['DENI071'],Barbis-Verkehr,51.61365,10.42275,273.0
+['DEBB060'],Eberswalde Breite Stra�e,52.832467,13.822211,20.0
+['DEMV019'],G�strow,53.78175,12.175512,17.0
+['DENI076'],Oldenburg Verkehr,53.15184,8.21754,8.0
+['DEST104'],Dom�ne Bobbe,51.837055,11.891655,71.0
+"['DEBB044'],""Cottbus, Bahnhofstr."",51.756476,14.327998,70.0"
+['DENW182'],Elsdorf-Berrendorf,50.927111,6.582203,83.0
+['DERP019'],Kaiserslautern-Rathausplatz,49.446747,7.768869,232.0
+['DEST089'],Zartau/Waldstation,52.593169,11.172351,95.0
+['DENI070'],Salzgitter-Dr�tte,52.15369,10.45591,93.0
+['DEST102'],Halle/Paracelsusstr.,51.494756,11.981314,113.0
+['DESH008'],Bornh�ved,54.093233,10.240623,45.0
+['DESH022'],Flensburg,54.78143,9.43809,15.0
+['DESH027'],Kiel-Bahnhofstr. Verk.,54.304676,10.135158,8.0
+['DESH028'],Ratzeburg,53.698939,10.775796,10.0
+['DESH035'],Brunsb�ttel-Cuxhavener Stra�e,53.896117,9.156908,0.0
+['DEUB029'],Schm�cke,50.65389,10.76944,937.0
+['DEHH015'],Hamburg Veddel,53.523262,10.021227,4.0
+['DEST092'],Wittenberg/Dessauer Strasse,51.867464,12.598325,80.0
+['DEBW125'],Pfinztal Karlsruher Stra�e (S),49.004225,8.524194,134.0
+['DEBW152'],Heilbronn Weinsberger Stra�e Ost (S),49.14601,9.225862,169.0
+['DEHE050'],Zierenberg,51.360755,9.271233,489.0
+['DEBB007'],Elsterwerda,51.462734,13.526796,89.0
+['DEBB021'],Potsdam-Zentrum,52.401352,13.059945,31.0
+"['DEBB073'],""Potsdam, Gro�beerenstr."",52.388869,13.094618,32.0"
+['DEBB086'],Blankenfelde-Mahlow,52.349703,13.424304,43.0
+['DEST077'],Magdeburg/West,52.127906,11.611456,50.0
+['DETH020'],Erfurt Kr�mpferstr.,50.979455,11.037924,195.0
+['DEUB005'],Waldhof,52.80077,10.75673,74.0
+"['DEBB049'],""Brandenburg, Neuendorfer Str."",52.409309,12.548376,33.0"
+['DEBY053'],N�rnberg/Bahnhof,49.44591,11.088444,307.0
+['DEBY005'],Aschaffenburg/Bussardweg,49.991518,9.117973,134.0
+['DEBY058'],N�rnberg/Muggenhof,49.462229,11.025473,300.0
+['DEHE037'],Wiesbaden-Ringkirche,50.077191,8.230316,145.0
+['DEMV004'],G�lzow,53.817775,12.064708,17.0
+['DERP047'],Trier-Pfalzel,49.783942,6.690488,131.0
+['DEBY124'],Burgbernheim/Am Hessinggraben,49.444516,10.316582,384.0
+['DEBY123'],Garmisch-Partenkirchen/Am Herrgottschrofen,47.483194,11.062283,720.0
+['DEBY187'],Oettingen,48.95218,10.59772,417.0
+['DEBY188'],Schwabach/Angerstra�e,49.32273,11.02792,344.0
+['DENW338'],Duisburg-Bruckhausen,51.485492,6.735431,28.0
+['DEST105'],Stendal Stadtsee,52.602056,11.850274,35.0
+['DEST106'],Goldene Aue (Ro�la),51.456071,11.091078,143.0
+['DEUB046'],Forellenbach,48.947611,13.420573,858.0
+['DERP053'],Speyer-Nord,49.351143,8.423005,103.0
+['DEMV026'],Garz,54.323514,13.342138,17.0
+['DEBB092'],Frankfurt (Oder),52.33468,14.52596,74.0
+"['DEBB099'],""Herzfelde, Hauptstr."",52.481882,13.84825,53.0"
+['DEBY189'],M�nchen/Allach,48.18169,11.46445,510.0
+['DEBY196'],Garmisch-Partenkirchen/Wasserwerk,47.47706,11.05722,732.0
+['DERP060'],Pirmasens-Innenstadt,49.191996,7.614573,378.0
+['DEMV031'],Rostock-Hohe D�ne,54.17729,12.09792,2.0
+['DEST108'],Wei�enfels/Am Krug,51.197249,11.96096,116.0
+['DEBW156'],Schramberg Oberndorfer Stra�e,48.22915,8.39062,458.0
+['DEHE112'],Wiesbaden-Schiersteiner Str.,50.072119,8.228865,140.0
+['DEHE116'],Offenbach-Untere Grenzstra�e,50.101494,8.784892,108.0
+['DEHE131'],Limburg-Schiede,50.386426,8.059909,122.0
+['DEMV025'],Stralsund-Knieperdamm,54.31923,13.08101,8.0
+['DENW329'],Jackerath,51.033834,6.451483,112.0
+['DENW337'],J�chen-Hochneukirch,51.097638,6.469463,83.0
+['DENW355'],Leverkusen Gustav-Heinemann-Str.,51.031473,7.010934,49.0
+['DENW367'],Gladbeck Goethestra�e,51.568055,6.990945,53.0
+['DESH052'],Kiel-Theodor-Heuss-Ring,54.304242,10.122364,18.0
+['DESH053'],L�beck Moislinger Allee,53.862237,10.67332,6.0
+['DESH055'],L�beck Fackenburger Allee,53.87453,10.664881,13.0
+['DEST112'],Magdeburg/Guericke-Stra.,52.131742,11.631919,56.0
+['DEHH079'],Hamburg Altona Elbhang,53.545269,9.944815,25.0
+['DEHH081'],Hamburg Hafen,53.529158,9.981599,6.0
+['DENI143'],Oldenburg Heiligengeistwall,53.142836,8.212084,8.0
+['DENI157'],Wolfsburg He�linger Stra�e,52.427886,10.793683,61.0
+['DESN104'],Chemnitz Hans-Link-Stra�e,50.832461,12.917336,300.0
+['DETH117'],Erfurt Bautzener Weg,50.993127,11.056578,196.0
+['DEHE134'],Fulda-Zentral,50.546384,9.680167,271.0
+['DENW374'],Recklinghausen-Hochlarmark,51.560875,7.1864,45.0
+['DESH056'],Eggebek,54.616669,9.363674,14.0
+['DEMV028'],Wismar,53.900767,11.4769,5.0
+['DESH057'],Kiel-Bremerskamp,54.34761,10.1056,30.0
+"['DENW381', 'NERH']",Neuss (Rheinhafen),51.219577,6.704074,30.0
+"['DENW382', 'DURH']",Duisburg (Rheinhafen),51.460721,6.727486,28.0
+"['DENW383', 'VBIH']",Bielefeld Herforder Stra�e 5/7,52.024102,8.53407,113.0
+['DESH058'],Lauenburg-Murjahnstra�e,53.382338,10.540524,37.0
+['DESL030'],Ottweiler,49.399503,7.165575,260.0
+['DEBB109'],Luckenwalde,52.089355,13.174963,50.0
+['DEHE135'],Frankfurt-Schwanheim,50.075464,8.576305,94.0
+['DEBB110'],Dallgow-D�beritz,52.539504,13.048779,39.0
+['DEST133'],Halle/Riebeckplatz,51.475778,11.98385,111.0
+['DENW397'],D�sseldorf-Eller,51.20121,6.81745,55.0
+['DEMV058'],Neubrandenburg Woldegker Stra�e,53.5588,13.2679,16.0
+['DEHE150'],Frankfurt-Niedwald,50.113453,8.594496,95.0
+['DEBE125'],Berlin Leipziger Stra�e (MC),52.509813,13.382377,40.0
+['DENW405'],Wesel-Obrighoven,51.673548,6.65512,24.0
+['DENW415'],Oberhausen Duisburger Stra�e,51.478442,6.842516,35.0
+['DEMV059'],Schwerin Obotr. West,53.630516,11.397948,56.0
+['DEST134'],Dessau/Ro�lau,51.885764,12.238686,71.0
+['DEBW242'],Stuttgart Pragstra�e,48.80776,9.20155,245.0
+['DEBB111'],Elsterwerda (2020),51.462734,13.526796,89.0
+['DEUB052'],Langen,50.00018,8.39005,130.0
+['DEHE159'],Frankfurt-Riedberg,50.172987,8.634928,140.0
+['DEBE037'],"B Frohnau, Funkturm (324 m)",52.653433,13.295774,50.0
+['DEBE038'],"B Wannsee, Funkturm (120 m)",52.417844,13.133189,100.0
+['DEBE052'],B Grunewald (Turm 25 m),52.472655,13.224372,50.0
+['DEBY060'],N�rnberg/Hauptmarkt,49.453209,11.074473,320.0
+['DEBY074'],Warmensteinach/Wagenthal,49.987204,11.80332,730.0
+['DEBY086'],M�nchen/Flughafen,48.354026,11.822676,446.0
+['DEBY087'],Freising/Achering,48.344657,11.708521,446.0
+['DERP005'],Ludwigshafen-Ludwigsplatz,49.483082,8.446406,94.0
+['DERP004'],Ludwigshafen-Goerdelerplatz,49.48859,8.43254,94.0
+['DESH018'],Sch�nwalde,54.18456,10.756181,110.0
+['DEBE042'],"B Charlottenburg-O.-Suhr-A. (Turm, 60 m)",52.517175,13.3083,35.0
+['DEBE043'],B Sch�neberg-K�rntener Str. (25 m),52.477252,13.34828,40.0
+['DETH074'],Jena Emil-W�lk-Str.,50.880944,11.612908,211.0
+['DEBY083'],Garmisch-Partenkirchen/Zugspitzgipfel,47.421227,10.985722,2960.0
+['DEHE064'],Hessisch Lichtenau,51.198946,9.730328,386.0
+['DENW330'],D�sseldorf-Lohausen,51.26950299999999,6.753747,40.0
+['DENW356'],L�denscheid Lennestra�e,51.22760899999999,7.643094999999999,375.0
+['DENW354'],D�sseldorf S�dring,51.200511,6.761389,38.0
+['DEBB088'],"Premnitz, OT D�beritz",52.52401,12.370162,30.0
+['DEHH080'],Hamburg Willy-Brandt-Stra�e,53.547355,9.98792,5.0
+['DERP098'],Mainz-Fichteplatz,49.99153799999999,8.265834,123.0
+['DEBE095'],Berlin Tempelhofer Damm,52.465247,13.385439,45.0
+['DEBW148'],Ingersheim Tiefengasse,48.96047,9.18403,208.0
+['DETH098'],Gera Theaterstr. PS,50.883860000000006,12.074947,190.0
+['DERP072'],Ludwigshafen-Heinigstr./Wredestr.,49.478077,8.444678,94.0
+['DENI149'],Hannover Bornumer Stra�e,52.360803000000004,9.712341000000002,67.0
+['DEBE119'],Berlin Mariendorfer Damm,52.447408,13.385301000000002,50.0
+['DERP101'],Mainz-Rheinstr. (Stadtmauer),49.998008999999996,8.277744,86.0
+['DENW360'],Siegen Sandstra�e 15,50.875655,8.020801000000002,243.0
+['DENW251'],Krefeld K�lner Stra�e 209,51.31786,6.57468,42.0
+['DEBE111'],Berlin Birkenstra�e,52.53146499999999,13.344309999999998,40.0
+"['DENI180', 'DENI146']",Osnabr�ck Neuer Graben,52.272232,8.046981,70.0
+['DENW166'],Remscheid Freiheitstra�e,51.178039999999996,7.18195,315.0
+['DETH100'],M�hlhausen Petristeinweg,51.210164,10.449634,205.0
+['DETH099'],Erfurt Walkm�hlstr.,50.97095499999999,11.022236,195.0
+['DENW303'],K�ln Dellbr�cker Hauptstra�e,50.97827999999999,7.070979999999999,63.0
+['DENW376'],Duisburg Friedrich-Wilhelm-Stra�e 25,51.431532999999995,6.763958000000001,32.0
+['DEHE145'],Frankfurt Riederwald,50.132258,8.732572,99.0
+['DEBW134'],Stuttgart Waiblinger Stra�e,48.80376999999999,9.22036,223.0
+['DEHE146'],Frankfurt Pforzheimer Stra�e,50.104257000000004,8.662817,100.0
+['DENW358'],K�ln Bergisch Gladbacher Stra�e,50.97038899999998,7.047528,53.0
+['DENW157'],Paderborn Bahnhofstra�e,51.714563999999996,8.74408,121.0
+['DESH059'],Elmshorn-Holstenstra�e,53.754494999999984,9.656784,4.0
+['DEHE132'],Darmstadt H�gelstra�e I,49.869423,8.65323,157.0
+['DENW219'],K�ln-Weiden,50.9381,6.83526,65.0
+['DEBW233'],Sindelfingen Hanns-Martin-Schleyer-Stra�e,48.70491,8.99748,432.0
+['DEBE112'],Berlin Reinhardstra�e,52.522316,13.378365,35.0
+['DEBW213'],Balingen Sch�mberger Stra�e,48.25547999999999,8.83802,541.0
+['DENW287'],Eschweiler Indestra�e,50.82063,6.264166999999999,140.0
+['DENI175'],"Hannover G�ttinger Stra�e, wohngeb�udenah",52.360192,9.715423,62.0
+['DEBE096'],Berlin Landsberger Allee,52.52319599999999,13.435054000000001,45.0
+['DENW332'],K�ln Hauptstra�e,50.883711,7.055722,55.0
+['DERP100'],Mainz-Rheinallee (LfU),50.014301,8.256968,87.0
+['DENW239'],Witten-Zentrum,51.438196999999995,7.337303,105.0
+['DEHE098'],Limburg Diezer Stra�e,50.384466,8.053849,132.0
+['DENW162'],Essen Br�ckstra�e,51.3881,7.001149999999999,53.0
+['DENW305'],M�lheim K�lner Stra�e (B1),51.36808299999999,6.863392000000001,74.0
+['DENW291'],Mettmann Breite Stra�e 10,51.24998999999998,6.978759999999999,123.0
+['DENW151'],K�ln Neumarkt,50.93558,6.94787,56.0
+['DENW230'],B�nen B�nener Stra�e,51.61073999999999,7.750195,78.0
+['DEBW219'],Backnang Eugen-Adolff-Stra�e,48.94503000000001,9.43699,270.0
+['DENI061'],Hildesheim Kaiserstr.,52.15560500000001,9.950272,86.0
+['DERP088'],Mainz-Gro�e Bleiche (MUEEF),50.00435,8.268813,87.0
+['DENW165'],M�nchengladbach Aachener Stra�e 426/428,51.18243999999999,6.409950000000001,78.0
+['DEBE117'],Berlin Torstra�e,52.529467999999994,13.399832,40.0
+['DEBE114'],Berlin Elsenstra�e,52.48945399999999,13.454776,40.0
+['DENW373'],Essen Abteistra�e,51.387694,7.002036,53.0
+['DEBE087'],Berlin Berliner Allee,52.550198,13.459875000000002,55.0
+['DETH101'],Weimar Jenaer Str.,50.979762,11.341702000000002,230.0
+['DEBW133'],Ilsfeld K�nig-Wilhelm-Stra�e,49.05512999999999,9.24402,230.0
+['DEBE092'],Berlin Spandauer Damm,52.51834499999998,13.281780000000001,50.0
+['DEBW130'],Pforzheim Jahnstra�e,48.88802999999999,8.69587,256.0
+['DEHE138'],Darmstadt Heinrichstra�e II,49.865399999999994,8.648409,143.0
+['DEHE100'],Limburg Schiede II,50.387585999999985,8.05913,122.0
+['DETH131'],Nordhausen Grimmelallee,51.50800099999999,10.78462,187.0
+['DEST101'],Halberstadt/Friedenstrasse,51.88954499999999,11.055946,116.0
+['DEBW211'],Remseck Hauptstra�e,48.887609999999995,9.27793,237.0
+['DENW267'],H�rth Luxemburger Stra�e 344,50.87980600000001,6.889922,65.0
+['DENW255'],Hagen Enneper Stra�e,51.339465999999994,7.395867000000001,140.0
+['DEHE115'],Breuberg-Hainstadt,49.83324,9.04218,143.0
+['DENI152'],Hannover Marienstra�e,52.36996499999999,9.754405000000002,59.0
+['DENW176'],Bonn Bornheimer Stra�e 35a,50.73701,7.08754,62.0
+['DEBW196'],Fellbach Burgstra�e,48.804627999999994,9.277553,302.0
+['DEHE130'],Darmstadt H�gelstra�e 12,49.869689,8.655469,157.0
+['DEBE106'],Berlin Br�ckenstra�e,52.51155,13.41666,40.0
+['DERP069'],Koblenz-Mainzer Str.,50.350967,7.597239,72.0
+['DERP102'],Mainz-Rheinstr. (Rheingoldhalle),50.002097,8.275303,88.0
+['DENW252'],Krefeld Oranierring,51.34039,6.55397,41.0
+['DENI176'],"Hannover Friedrich-Ebert-Stra�e, wohngeb�udenah",52.348847,9.719464,54.0
+['DENW290'],Neuss Batteriestra�e,51.200769999999984,6.6935,34.0
+['DEHE141'],Frankfurt R�merberg,50.110455,8.682489,100.0
+['DENW266'],D�ren Euskirchener Stra�e,50.80416999999999,6.49457,143.0
+['DEBE113'],Berlin Oranienstra�e,52.50282200000001,13.413412000000001,40.0
+['DEBW144'],Walzbachtal Bahnhofstra�e,49.02757,8.57697,168.0
+['DEBW155'],Schw�bisch Gm�nd Remsstra�e,48.80239999999999,9.79584,325.0
+['DEHE099'],Limburg Schiede I,50.38621,8.059641,122.0
+['DENW158'],Paderborn Friedrichstra�e 29,51.718775,8.747115,118.0
+['DEBW240'],Heilbronn Wollhausstra�e,49.13874,9.22853,178.0
+['DERP080'],Mainz-Leibnizstr.,50.006468999999996,8.2613,88.0
+['DEHE133'],Bensheim Nibelungenstra�e,49.6827,8.623062,112.0
+['DEBE083'],Berlin Kantstra�e,52.50645899999999,13.30859,35.0
+['DEBW137'],T�bingen Jesinger Hauptstra�e,48.526390000000006,8.97944,355.0
+['DEBE100'],Berlin Friedrichstra�e,52.514397999999986,13.38912,40.0
+['DENW210'],Erwitte Soester Stra�e 9A,51.611676,8.334714,103.0
+['DENW178'],Aachen Adalbertsteinweg,50.774711999999994,6.097344,170.0
+['DEBW223'],Leinfelden-Echterdingen Hauptstra�e,48.68996,9.16726,420.0
+['DENW331'],Bochum Herner Stra�e 385,51.51115,7.21041,70.0
+['DEBE101'],Berlin Badstra�e,52.55028699999999,13.38493,50.0
+['DEHE101'],Limburg Frankfurter Stra�e,50.38312,8.070442,143.0
+['DENW297'],K�ln-Meschenich Br�hler Landstra�e,50.85904,6.924779999999999,60.0
+['DENW172'],Neuss Friedrichstra�e 29,51.19396999999999,6.692500000000001,40.0
+['DENW213'],Overath Hauptstra�e 55,50.93282,7.28576,92.0
+['DERP063'],Koblenz-Rheinanlagen,50.350547,7.600248000000001,68.0
+['DENW161'],Essen Alfredstra�e 9/11,51.44015999999999,7.004290000000001,114.0
+['DENW371'],Aachen-Haaren,50.79435,6.123109999999999,148.0
+['DENW262'],Dinslaken Hans-B�ckler-Stra�e 9,51.562269999999984,6.74186,31.0
+['DEHE136'],Frankfurt Battonnstra�e,50.11241799999999,8.687238,99.0
+['DENW289'],Neuss Krefelder Stra�e,51.20235,6.685022,42.0
+['DEBW195'],Hemmingen Hauptstra�e,48.8647,9.03141,335.0
+['DERP105'],W�rth-Maximiliansau (Rheinstr.),49.03759999999999,8.300537,105.0
+['DERP052'],Mayen,50.33023299999999,7.226235,238.0
+['DEBE121'],Berlin Mehringdamm,52.49218599999999,13.387103999999999,40.0
+['DEHE144'],Frankfurt Mainkai,50.109421,8.684193,95.0
+['DENW228'],Bielefeld Stapenhorststra�e 42,52.02595,8.522290000000002,126.0
+['DENW269'],M�nster B�lt,51.963339,7.631364,63.0
+['DENW336'],K�ln Luxemburger Stra�e,50.92022,6.932460000000001,56.0
+['DENW364'],Bottrop Peterstra�e 9,51.5192,6.92443,59.0
+['DETH097'],Gera Str.des Friedens,50.87035199999999,12.071203000000002,190.0
+['DERP092'],Mainz-Rheinallee/Parkh.,50.00861,8.269818,86.0
+['DENW353'],K�ln Lindweilerweg 144,50.995219,6.899453,47.0
+['DERP106'],Koblenz-Charlottenstr.,50.360495,7.612094,71.0
+['DENW293'],Dinslaken Wilhelm-Lantermann-Stra�e 33,51.56469,6.740509999999999,32.0
+['DEBW157'],Wendlingen Stuttgarter Stra�e,48.672709999999995,9.378665,265.0
+['DEBW151'],Heidelberg Mittermaierstra�e,49.40724999999999,8.677,117.0
+['DENW281'],Hagen M�rkischer Ring 85,51.36041999999999,7.47727,120.0
+['DENI151'],Hannover Kurt-Schumacher-Stra�e,52.37690099999999,9.738463000000001,60.0
+['DENI150'],Hannover Friedrich-Ebert-Stra�e,52.347585,9.718975,58.0
+['DENW277'],Essen Krayer Stra�e 213,51.46560800000001,7.080311000000001,77.0
+['DEBE093'],Berlin Alt-Moabit,52.52392699999999,13.328703,35.0
+['DEHE139'],Frankfurt Am Erlenbruch I,50.130411,8.730728,101.0
+['DENW361'],Bielefeld-Innenstadt,52.023986999999984,8.534019,114.0
+['DEHE142'],Marburg Universit�tsstra�e I,50.80710700000001,8.770033,191.0
+['DEBW226'],Friedrichshafen Maybachstra�e,47.65670000000001,9.46702,412.0
+['DEHE105'],Wetzlar Linsenbergstra�e,50.57507999999999,8.491714,164.0
+['DENW171'],Essen Hombrucher Stra�e 21,51.457392,7.047233000000001,108.0
+['DENW294'],Emmerich-Elten Schmidtstra�e 3,51.87241,6.160479999999999,20.0
+['DERP081'],Mainz-Boppstr.,50.004276999999995,8.260233000000001,88.0
+['DEHE111'],R�sselsheim Rugby-Ring,49.995556,8.42439,92.0
+['DEBE102'],Berlin Klosterstra�e,52.531059,13.196582,35.0
+['DENW335'],Meerbusch Meerbuscher Stra�e,51.26708300000001,6.641622,40.0
+['DERP095'],Mainz-Rheinallee (Stadtbibliothek),50.008527,8.269566,88.0
+['DEBE090'],Berlin Michael-Br�ckner-Stra�e,52.455129,13.511998,40.0
+['DEHE103'],Offenbach Bieberer Stra�e,50.10239,8.775947,109.0
+['DENW195'],Hamm M�nsterstra�e,51.68929,7.80968,61.0
+['DEBE091'],Berlin Alt-Friedrichsfelde,52.51045399999999,13.506564000000001,40.0
+['DEBE115'],Berlin Erkstra�e,52.481379,13.43916,40.0
+['DESH060'],Rendsburg-Materialhofstra�e,54.30121,9.66825,10.0
+['DEBE105'],Berlin Invalidenstra�e,52.530998,13.384433,40.0
+['DENW185'],Dortmund B1 Rheinlanddamm,51.50061999999999,7.481010000000001,124.0
+['DEBE098'],Berlin Buschkrugallee,52.463276,13.444305,40.0
+['DEBW228'],Ravensburg Schussenstra�e,47.784949999999995,9.612949999999998,440.0
+['DENW340'],D�sseldorf Ludenberger Stra�e,51.240755,6.83315,53.0
+['DEBW214'],Bietigheim-Bissingen Stuttgarter Stra�e,48.95532,9.134830000000001,199.0
+['DEHE140'],Frankfurt Am Erlenbruch II,50.131367,8.738602,101.0
+['DEBW128'],M�hlacker Stuttgarter Stra�e,48.94665499999999,8.844231,242.0
+['DEBE110'],Berlin Stromstra�e,52.527165,13.343121,35.0
+['DEBW234'],Heilbronn Frankenbacher Stra�e,49.168899999999994,9.201170000000001,161.0
+['DEHE156'],Frankfurt Gotenstra�e,50.111389,8.539722,108.0
+['DENI153'],Hannover Vahrenwalder Stra�e,52.39265799999999,9.734758,58.0
+['DENW299'],Gladbeck Grabenstra�e 42,51.56988599999999,6.997653,60.0
+['DERP096'],Mainz-Rheinstr. (DB Cargo),49.99342299999999,8.282042,88.0
+['DEHE143'],Alsfeld I,50.752757,9.27037,274.0
+['DEBW153'],Ulm Karlstra�e,48.40411,9.98731,479.0
+['DEBE088'],Berlin Beusselstra�e,52.529101999999995,13.328433000000002,40.0
+['DENW351'],Gelsenkirchen Grothusstra�e,51.52428,7.060350000000001,40.0
+['DEHE153'],Schlangenbad-Wambach Schwalbacher Stra�e,50.108444,8.098139,348.0
+['DEHE104'],Offenbach Mainstra�e,50.107078,8.772779,102.0
+['DEHE102'],Offenbach Untere Grenzstra�e I,50.101443,8.784665,107.0
+['DENW175'],Bonn Reuterstra�e,50.72258,7.09708,65.0
+['DENW215'],Essen-Frohnhausen,51.44325,6.97609,102.0
+['DEBW154'],Freiberg Benninger Stra�e,48.937949999999994,9.20434,193.0
+['DEBW198'],M�gglingen Hauptstra�e,48.822759999999995,9.96404,413.0
+['DENW377'],Duisburg Meiderich Bahnhofstra�e,51.46674999999999,6.781309,27.0
+['DENW253'],Duisburg Friedrich-Ebert-Stra�e 30,51.411535,6.711915,28.0
+['DENW169'],Essen In der Baumschule,51.478486999999994,7.005478,50.0
+['DENW272'],Siegen Frankfurter Stra�e,50.870850000000004,8.0261,249.0
+['DEBE097'],Berlin Herrmannplatz,52.487391,13.424705,40.0
+['DEBE085'],Berlin Herrmannstra�e,52.465696,13.432192,50.0
+['DENW363'],Paderborn-Schloss Neuhaus,51.74366,8.71182,105.0
+['DEBW222'],Kuchen Hauptstra�e,48.636669999999995,9.79804,405.0
+['DENW249'],K�ln-Junkersdorf Statthalterhofweg 70,50.931615,6.857614000000001,66.0
+['DENW334'],Kamen Bahnhofstra�e 21,51.588657999999995,7.662739000000001,62.0
+['DERP089'],Mainz-Gro�e Bleiche (Landtag),50.00598499999999,8.270987,86.0
+['DERP087'],Mainz-Bauhofstr. (FM),50.007421999999984,8.267422,86.0
+['DERP065'],Koblenz-Peter-Altmeier-Ufer,50.36273099999998,7.598352,65.0
+['DENW369'],Herne Recklinghauser Stra�e 4/6,51.54300799999999,7.150192,38.0
+['DERP085'],Mainz-Neubrunnenplatz,50.00176,8.265705,87.0
+['DERP068'],Koblenz-Hohenzollernstr.,50.352135,7.592970000000001,72.0
+['DEBW138'],Ulm Zinglerstra�e,48.39462999999999,9.98348,481.0
+['DENW216'],D�sseldorf-Bilk,51.202491,6.776365,42.0
+['DENW209'],Oberhausen M�lheimer Stra�e 116,51.47500999999999,6.863950000000001,42.0
+['DENW296'],Recklinghausen Bochumer Stra�e,51.57720799999999,7.213339,54.0
+['DERP067'],Koblenz-Bahnhofstr.,50.353706,7.591101000000001,72.0
+['DEBE116'],Berlin Friedrichstra�e,52.518372,13.388503,40.0
+['DEBE089'],Berlin Potsdamer Stra�e,52.501403999999994,13.364078,40.0
+['DENW248'],Recklinghausen K�nigswall 6,51.612640999999996,7.194987,75.0
+['DENW148'],K�ln Justinianstra�e,50.938269999999996,6.97789,50.0
+['DERP099'],Mainz-Schillerstr.,49.99989000000001,8.265188,88.0
+['DEBW225'],Steinheim Ludwigsburger Stra�e,48.96581,9.27791,199.0
+['DEBE084'],Berlin Hauptstra�e,52.481257,13.347433,40.0
+['DERP091'],Mainz-Adenauer Ufer,50.012005,8.266827,84.0
+['DENW368'],D�sseldorf Burgunderstra�e,51.22742499999999,6.698572,35.0
+['DENW280'],Gevelsberg Hagener Stra�e 12,51.320467,7.344080000000001,161.0
+['DETH102'],Suhl Dr.Th.-Neubauer-Str.,50.60622,10.685369,430.0
+['DERP066'],Koblenz-Jesuitenplatz,50.360141999999996,7.59854,74.0
+['DEBE094'],Berlin Schlo�stra�e,52.458879,13.322497,50.0
+['DEBW232'],Rastatt Kapellenstra�e,48.85568,8.20587,118.0
+['DEBE108'],Berlin Leonorenstra�e,52.43717800000001,13.344879,45.0
+['DEBE086'],Berlin Sonnenallee,52.484241,13.434625999999998,40.0
+['DEBE082'],Berlin Leipziger Stra�e,52.510402,13.391296,35.0
+['DEBW212'],Remseck Remstalstra�e,48.87066999999999,9.27387,210.0
+['DENI160'],Braunschweig Hildesheimer Stra�e,52.270462,10.499984,75.0
+['DEBW202'],Horb Neckarstra�e,48.46913899999999,8.630253,395.0
+['DERP070'],Koblenz-Trierer Str.,50.36920099999999,7.566656000000001,87.0
+['DERP064'],Koblenz-Saarplatzkr.,50.360853,7.588632,68.0
+['DENW232'],Langenfeld Schneiderstra�e,51.119961,6.969208,57.0
+['DEBW243'],Stuttgart Talstra�e,48.78364,9.21177,252.0
+['DERP084'],Mainz-Hintere Bleiche,50.00268899999998,8.264471,88.0
+['DEBE122'],Berlin Martin-Luther-Stra�e,52.498166,13.345849,40.0
+['DEHE137'],Gie�en Johannette-Lein-Gasse 8,50.585306,8.671074,161.0
+['DENW365'],Schwerte H�rder Stra�e 13,51.44667999999999,7.56352,128.0
+['DEBW220'],Esslingen Grabbrunnenstra�e,48.741580000000006,9.31445,241.0
+['DENW288'],K�ln-Weiden An der alten Post,50.936695,6.833488,63.0
+['DEBE103'],Berlin Eichborndamm,52.570192,13.312675,40.0
+['DERP073'],Ludwigshafen-Kaiser-Wilhelmstr.,49.478673999999984,8.444278,95.0
+['DETH128'],Saalfeld Friedens,50.65013999999999,11.355989,240.0
+['DEBW197'],Lahr Reichenbacher Hauptstra�e,48.33050999999999,7.924289999999999,194.0
+['DENW275'],Dinslaken H�nxer Stra�e,51.563978,6.743358,30.0
+['DENW184'],Dortmund B1 Westfalendamm,51.50404,7.502510000000001,122.0
+['DERP079'],Mainz-Kaiserstr./Rheinallee,50.008953,8.268077,87.0
+['DEBW236'],Heilbronn Speyerer Stra�e,49.15855,9.17248,163.0
+['DENI159'],Wolfsburg Siemensstra�e,52.416441999999996,10.787837,73.0
+['DEBE120'],Berlin Saarstra�e,52.468346,13.333959999999998,50.0
+['DEBW126'],Karlsruhe Kriegsstra�e,49.00536,8.36927,117.0
+['DERP090'],Mainz-Feldbergplatz,50.011921,8.264901,86.0
+['DEBW238'],Heilbronn S�dstra�e 33,49.1351,9.21705,177.0
+['DEBW149'],Urbach Hauptstra�e,48.80922999999999,9.579390000000002,265.0
+['DERP097'],Mainz-Windm�hlenstr.,49.995039999999996,8.274937,94.0
+['DEBW227'],Lichtenstein Wilhelmstra�e,48.43453999999998,9.255130000000001,495.0
+['DEBW231'],�stringen Hauptstra�e,49.21884000000001,8.71047,156.0
+['DERP075'],Speyer-Bahnhofstra�e,49.327672,8.429579,100.0
+['DEBW210'],Weil am Rhein Freiburger Stra�e,47.6155,7.61355,270.0
+['DEBE109'],Berlin Martin-Luther-Stra�e,52.482173,13.344822,40.0
+['DEBW241'],Ludwigsburg Schlossstra�e,48.8982,9.19373,285.0
+['DEBE107'],Berlin Kaiser-Friedrich-Stra�e,52.508997,13.301763,40.0
+['DENW342'],Siegen Sandstra�e 18,50.875539,8.02382,243.0
+['DEHE152'],Alsfeld III,50.752849999999995,9.271834,269.0
+['DEBW239'],Heilbronn Wilhelmstra�e,49.13568999999999,9.21896,172.0
+['DERP094'],Mainz-Rheinstra�e 24,49.998008999999996,8.27908,87.0
+['DENI173'],Oldenburg Theodor-Tantzen-Platz,53.13850999999999,8.202229,3.0
+['DENW339'],D�sseldorf Volmerswerther Deich,51.184425999999995,6.759519999999999,34.0
+['DENW279'],Recklinghausen Kaiserwall,51.613503,7.201525,68.0
+"['DENI178'],""Hannover Marienstra�e, wohngeb�udenah"",52.370208999999996,9.755089,55.0"
+['DERP074'],Ludwigshafen-Heinigstr./D�rrhorststr.,49.479785,8.442293,93.0
+['DENW370'],D�sseldorf S�dring 110,51.200544,6.761539,38.0
+['DENW250'],K�ln-Junkersdorf Jungbluthbr�cke,50.93095,6.85028,63.0
+['DERP103'],W�rth-Maximiliansau (B10),49.03963099999999,8.292559,106.0
+['DEBE104'],Berlin Markgrafendamm,52.498379,13.46512,35.0
+['DERP104'],W�rth-Maximiliansau (FVPM)),49.039837,8.299798,106.0
+['DEBW229'],Marbach Schillerstra�e,48.94192000000001,9.26112,213.0
+['DEHE154'],Frankfurt K�nigsteiner Stra�e I,50.111667,8.537222,109.0
+['DENW333'],K�ln Heidestra�e 176,50.85885799999999,7.101197,56.0
+['DERP083'],Mainz-Bahnhofstr.,50.00067899999999,8.262887,90.0
+['DERP107'],Mainz-Rheinstr./Dagobertstr.,49.995582999999996,8.279549,87.0
+['DENW379'],Essen Hombrucher Stra�e 31,51.45774399999999,7.047994,130.0
+['DENI158'],Wolfsburg Schillerstra�e,52.42396600000001,10.785937,64.0
+['DEHE157'],Frankfurt Kasinostra�e,50.102778,8.549722,103.0
+['DERP082'],Mainz-Binger Str.,50.000278,8.262002,92.0
+['DEHE151'],Frankfurt Hochstra�e,50.11546,8.673367,105.0
+['DEHE158'],Frankfurt Mainzer Landstra�e,50.110555999999995,8.663889,98.0
+['DENW276'],Essen Hafenstra�e,51.48956499999999,6.980607000000001,35.0
+['DEHE114'],Lampertheim-Andreasstra�e,49.60200999999999,8.46188,97.0
+['DERP071'],Koblenz-R�benach,50.370087000000005,7.517701,143.0
+['DETH132'],Erfurt Schillerstr.,50.968562999999996,11.032475,203.0
+['DERP086'],Mainz-Gro�e Bleiche,50.00274099999999,8.267162,87.0
+['DEBW150'],Murg Hauptstra�e,47.55362,8.02117,300.0
+['DEHE113'],Lampertheim-R�merstra�e,49.59305599999999,8.469584,97.0
+['DEBW235'],Heilbronn Mannheimer Stra�e,49.14643999999999,9.21959,160.0
+['DEHE155'],Frankfurt K�nigsteiner Stra�e II,50.113611,8.535278,111.0
+['DERP108'],Koblenz-Deuteches Eck,50.364691,7.60577,65.0
+['DENI172'],Oldenburg Brandsweg,53.137431,8.173338,4.0
+['DEBE123'],Berlin Spiegelweg,52.50814100000001,13.284456,45.0
+['DEBE124'],Berlin Danziger Stra�e,52.54082999999999,13.413156,55.0
+['DEBW237'],Heilbronn S�dstra�e 2,49.136540000000004,9.21262,177.0
+['DENW362'],D�sseldorf Norfer Stra�e,51.200306,6.761111,36.0
+['DEUB044'],Zugspitze Schneefernerhaus,47.414435999999995,10.980657,2650.0
+['DEHE057'],Wetzlar-Hermannstein,50.577931,8.495097,183.0
+['DEHE053'],Frankfurt-Griesheim,50.09545299999999,8.603379,98.0
+['DENW307'],Kamp-Lintfort Eyller-Berg-Stra�e,51.481842,6.527344,25.0
+['DERP043'],Braubach,50.275108,7.652115000000001,85.0
+['DENW245'],Stolberg Heinrich-B�ll-Platz,50.764818999999996,6.232592,195.0
+['DENW254'],Duisburg Bergstra�e 48,51.467894,6.752342,28.0
+['DENW246'],L�nen Viktoriastra�e,51.60846399999999,7.52295,54.0
+['DEHE056'],Frankfurt Mitte,50.110829,8.683638,103.0
+['DENW117'],Bochum-Stahlhausen,51.482541999999995,7.186094999999999,57.0
+['DENW131'],Duisburg Kiebitzm�hlenstra�e,51.506144,6.747014,27.0
+['DEHE054'],Hanau Mitte,50.130411999999986,8.926329,107.0
+['DERP044'],Krautscheid / Seifen,50.699438,7.375279000000001,180.0
+['DEHE095'],Wetzlar Im K�hlersgarten,50.575364,8.492018,161.0
+['DENW378'],L�nen Frydagstra�e,51.61305599999999,7.473389,51.0
+['DENW375'],Witten-Mitte,51.43314199999999,7.333622,93.0
+['DENW306'],L�nen M�hlenweg,51.61395000000002,7.471006,51.0
+['DENW301'],M�lheim Hofackerstra�e 46-48,51.431472,6.847664,38.0
+['DEHB010'],IGWEST,53.150065,8.71137,7.0
+['DENW341'],Erkelenz Eggerather Weg,51.052882999999994,6.403289,90.0
+['DEBW221'],Konstanz Theodor-Heuss-Stra�e,47.669079999999994,9.18133,401.0
+['DENW359'],M�nchengladbach-Wanlo,51.09696699999999,6.4158,74.0
+['DEBE118'],Berlin Leipziger Stra�e,52.509801,13.382363,40.0
+['DENI179'],Oldenburg Heiligengeistwall,53.142815,8.21197,9.0
+['DENI174'],Hannover Bornumer Stra�e,52.360803000000004,9.712341000000002,62.0
+['DENW127'],Castrop-Rauxel (6),51.575017,7.295519,58.0
+['DENW319'],Gelsenkirchen-Hassel Pawiker Stra�e,51.60012199999999,7.041881,59.0
+['DEHE161'],Fl�rsheim,50.019018,8.428716,93.0
+['DEBY198'],Ingolstadt/M�nchener Str.,48.74262,11.43464,367.0
+['DEBY200'],Passau/Angerstr.,48.57663,13.46936,302.0
+['DENW430'],D�sseldorf Merowingerstra�e,51.20255,6.776348,42.0
+['DEBB112'],Wildau,52.324033,13.621246,60.0
+['DEBY199'],Neustadt a.d. Aisch/An der Wei�en Marter,49.57846,10.62544,333.0
+['DESN130'],Liebsch�tzberg,51.352582,13.132197,198.0
+['DEBE126'],Berlin Karl-Marx-Stra�e II,52.483811,13.429671,40.0
+['DEHE170'],Neu-Isenburg,50.052612,8.689628,122.0
+['DEMV060'],Neubrandenburg S�dstadt,53.5461,13.2682,12.0
+['DENW431'],D�sseldorf-Lohausen,51.277433,6.744291,40.0
+['DE0046R'],Raisting,47.9,11.1,552.0
+['DE0047R'],Falkenberg,52.166667,14.116667,73.0
+['DE0011R'],Hohenwestedt,54.1,9.666667,75.0
+['DE0039R'],Aukrug,54.074722,9.792778,15.0
+['DE0038R'],Murnauer Moos,47.651389,11.203333,622.0
+['DE0007R'],Neuglobsow,53.166667,13.033333,62.0
+['DE0003R'],Schauinsland,47.914722,7.908611,1205.0
+['DE0042R'],�hringen,49.243333,9.447222,283.0
+['DE0054R'],Zugspitze-Schneefernerhaus,47.4165,10.97964,2671.0
+['DE0031R'],Wiesenburg,52.116667,12.466667,107.0
+['DE0035R'],L�ckendorf,50.833333,14.766667,490.0
+['DE0013R'],Rodenberg,52.316667,9.366667,148.0
+['DE0004R'],Deuselbach,49.764722,7.051944,480.0
+['DE0009R'],Zingst,54.4368,12.7249,1.0
+['DE0057G'],Zugspitze-Gipfel,47.421075,10.985896,2962.0
+['DE0017R'],Ansbach,49.25,10.583333,481.0
+['DE0006R'],Arkona,54.683333,13.433333,42.0
+['DE0005R'],Brotjacklriegel,48.819444,13.219167,1016.0
+['DE0012R'],Bassum,52.85,8.7,52.0
+['DE0008R'],Schm�cke,50.65,10.766667,937.0
+['DE0002R'],Waldhof,52.802222,10.759444,74.0
+['DE0001R'],Westerland,54.925556,8.309722,12.0
+['DE0018R'],Rottenburg,48.48333,8.933333,427.0
+['DE0060G'],Neumayer,-70.666,-8.266,42.0
+['DE0026R'],Ueckerm�nde,53.75,14.066667,1.0
+['DE0014R'],Meinerzhagen,51.116667,7.633333,510.0
+['DE0043G'],Hohenpeissenberg,47.8014984131,11.0096197128,985.0
+['DE0045R'],Schorfheide,52.966667,13.65,70.0
+['DEHE160'],M�rfelden,49.964994,8.565859,99.0
+['DEBE127'],Station Berlin Silbersteinstra�e,52.46747,13.44121,35.0
diff --git a/src/eurad/assets/mlair_stations.csv b/src/eurad/assets/mlair_stations.csv
new file mode 100644
index 0000000000000000000000000000000000000000..09d74655fce1889e2ef9a997a7dadb91eadbf10c
--- /dev/null
+++ b/src/eurad/assets/mlair_stations.csv
@@ -0,0 +1,16 @@
+codes,name,coordinates_lat,coordinates_lng,coordinates_alt
+['DENW067'],Bielefeld-Ost,52.023169,8.548389,102.0
+['DENW006'],Lünen-Niederaden,51.592206,7.569838,58.0
+['DENW008'],Dortmund-Eving,51.536911,7.457463,75.0
+['DENW021'],Bottrop-Welheim,51.525963,6.976908,40.0
+['DENW034'],Duisburg-Walsum,51.524022,6.748402,28.0
+['DENW053'],Köln-Chorweiler,51.019345,6.884636,45.0
+['DENW058'],Hürth,50.876121,6.873789,90.0
+['DENW059'],Köln-Rodenkirchen,50.889814,6.985164,45.0
+['DENW071'],Düsseldorf-Lörick,51.249211,6.732383,32.0
+['DENW078'],Ratingen-Tiefenbroich,51.303919,6.819967,41.0
+['DENW079'],Leverkusen-Manfort,51.028879,7.005063,50.0
+['DENW095'],Münster-Geist,51.936547,7.611581,63.0
+['DENW096'],Mönchengladbach-Rheydt,51.154614,6.42571,78.0
+['DENW179'],Schwerte,51.448762,7.582295,157.0
+['DENW247'],Essen-Schuir (LANUV),51.406968,6.965643,153.0
diff --git a/src/eurad/assets/stations.csv b/src/eurad/assets/stations.csv
new file mode 100644
index 0000000000000000000000000000000000000000..cffc697f7c595f9fb1653fbd5c9fec6b4d9a7bc2
--- /dev/null
+++ b/src/eurad/assets/stations.csv
@@ -0,0 +1,1422 @@
+coordinates_lat,coordinates_lng,coordinates_alt,codes
+53.549976,10.002102,13.0,['DEHH051']
+53.600687,10.003454,19.0,['DEHH069']
+48.397079,10.008293,470.0,['DEBY052']
+52.4465,10.00882,58.0,['DENI072']
+53.641245,10.010089,15.0,['DEHH046']
+53.55774,10.011614,6.0,['DEHH053']
+53.490921,10.020449,1.0,['DEHH020']
+53.523262,10.021227,4.0,['DEHH015']
+53.450443,10.0255,10.0,['DEHH023']
+53.559145,10.028129,14.0,['DEHH009']
+53.597774,10.029068,8.0,['DEHH003']
+47.693476,10.034746,700.0,['DEBW094']
+53.564779,10.035421,7.0,['DEHH061']
+53.594948,10.044106,16.0,['DEHH036']
+53.534663,10.048428,42.0,['DEHH057']
+53.592301,10.053859,12.0,['DEHH068']
+53.560099,10.06385,17.0,['DEHH056']
+53.581438,10.068086,13.0,['DEHH045']
+53.52902,10.081685,5.0,['DEHH016']
+53.598206,10.081942,12.0,['DEHH004']
+53.487669,10.083646,2.0,['DEHH021']
+53.55955,10.083974,12.0,['DEHH010']
+52.624733,10.086517,40.0,['DENI073']
+48.847917,10.096292,-999.0,['openaq_3370']
+48.850373,10.098309,420.0,['DEBW029']
+53.538531,10.102823,18.0,['DEHH074']
+54.344196,10.10438,25.0,['DESH012']
+54.34761,10.1056,30.0,['DESH057']
+53.63074,10.110595,31.0,['DEHH047']
+54.326394,10.115586,25.0,['DESH019']
+54.309674,10.116563,29.0,['DESH033']
+53.51908,10.121845,1.0,['DEHH071']
+53.518764,10.122063,1.0,['DEHH075']
+54.304242,10.122364,18.0,['DESH052']
+54.303894,10.122691,14.0,['DESH029']
+54.319766,10.123092,17.0,['DESH007']
+54.304676,10.135158,8.0,['DESH027']
+54.332679,10.136176,10.0,['DESH021']
+53.597629,10.143868,24.0,['DEHH005']
+53.561653,10.147425,24.0,['DEHH011']
+53.522982,10.150904,24.0,['DEHH017']
+48.679331,10.151042,480.0,['DEBW145']
+51.037055,10.152006,380.0,['DEUB018']
+48.663838,10.156296,480.0,['DEBW050']
+53.497003,10.206631,13.0,['DEHH054']
+53.570583,10.214871,42.0,['DESH016']
+50.048397,10.232076,231.0,['DEBY068']
+51.50758,10.23854,185.0,['DENI028']
+54.093233,10.240623,45.0,['DESH008']
+53.740511,10.267478,50.0,['DESH004']
+47.72514,10.306561,678.0,['DEBY031']
+51.392868,10.312378,356.0,['DEUB032']
+49.444516,10.316582,384.0,['DEBY124']
+50.978292,10.317236,210.0,['DETH013']
+49.44406,10.325,-999.0,['openaq_3121']
+53.435734,10.332118,5.0,['DESH003']
+50.561754,10.375299,450.0,['DETH026']
+47.518013,10.404232,1169.0,['DEBY122']
+50.571506,10.41488,285.0,['DETH025']
+51.61365,10.42275,273.0,['DENI071']
+51.205466,10.448476,220.0,['DETH091']
+51.210164,10.449634,205.0,['DETH100']
+51.207944,10.450997,215.0,['DETH095']
+52.15369,10.45591,93.0,['DENI070']
+53.24696,10.4565,13.0,['DENI062']
+51.205331,10.463465,205.0,['DETH021']
+51.209308,10.465108,200.0,['DETH055']
+51.208535,10.465835,205.0,['DETH094']
+52.22694,10.47364,98.0,['DENI011']
+51.90158,10.48132,220.0,['DENI016']
+52.270462,10.499984,75.0,['DENI160']
+52.263331,10.524609,72.0,['DENI008']
+53.382338,10.540524,37.0,['DESH058']
+52.26673,10.54055,81.0,['DENI075']
+49.304889,10.572297,400.0,['DEBY001']
+49.25,10.583333,481.0,['DE0017R']
+49.247286,10.584028,481.0,['DEUB013']
+48.95218,10.59772,417.0,['DEBY187']
+51.75816,10.61248,930.0,['DENI051']
+54.131465,10.615169,36.0,['DESH031']
+51.798629,10.618275,1142.0,['DEST039']
+49.57846,10.62544,333.0,['DEBY199']
+53.871308,10.635382,16.0,['DESH005']
+50.662638,10.655135,470.0,['DETH030']
+53.87453,10.664881,13.0,['DESH055']
+50.653245,10.668641,490.0,['DETH060']
+50.649691,10.672277,525.0,['DETH087']
+53.862237,10.67332,6.0,['DESH053']
+53.866711,10.675006,10.0,['DESH010']
+50.60622,10.685369,430.0,['DETH102']
+53.870918,10.685821,2.0,['DESH009']
+53.872916,10.691036,13.0,['DESH026']
+50.61153,10.693092,430.0,['DETH072']
+50.611541,10.693233,430.0,['DETH031']
+53.835492,10.695936,12.0,['DESH023']
+50.950969,10.700863,290.0,['DETH032']
+50.629833,10.708347,555.0,['DETH086']
+54.18456,10.756181,110.0,['DESH018']
+52.80077,10.75673,74.0,['DEUB005']
+52.802222,10.759444,74.0,['DE0002R']
+50.65,10.766667,937.0,['DE0008R']
+50.65389,10.76944,937.0,['DEUB029']
+50.654066,10.769534,-999.0,['openaq_2962']
+53.698939,10.775796,10.0,['DESH028']
+51.50800099999999,10.78462,187.0,['DETH131']
+51.507301,10.784668,185.0,['DETH088']
+52.42396600000001,10.785937,64.0,['DENI158']
+50.619181,10.787135,907.0,['DETH040']
+52.416441999999996,10.787837,73.0,['DENI159']
+51.83936,10.790175,230.0,['DEST011']
+51.830377,10.790677,228.0,['DEST100']
+51.497195,10.791404,185.0,['DETH018']
+52.427886,10.793683,61.0,['DENI157']
+54.106459,10.808084,1.0,['DESH032']
+52.44081,10.81638,60.0,['DENI020']
+51.333333,10.867188,420.0,['DETH042']
+51.365459,10.872744,215.0,['DETH014']
+49.89833,10.887686,231.0,['DEBY009']
+48.376576,10.88837,477.0,['DEBY007']
+48.364589,10.895029,492.0,['DEBY006']
+48.370237,10.896221,-999.0,['openaq_3200']
+48.370371,10.896821,485.0,['DEBY110']
+53.868073,10.901677,63.0,['DEMV001']
+48.326013,10.903051,495.0,['DEBY099']
+48.308269,10.907773,502.0,['DEBY008']
+50.684998,10.916992,480.0,['DETH024']
+53.543687,10.929825,41.0,['DEMV018']
+49.589985,10.933278,300.0,['DEBY017']
+50.837135,10.947154,275.0,['DETH016']
+50.260578,10.959312,291.0,['DEBY014']
+49.605914,10.963528,284.0,['DEBY113']
+47.4165,10.97964,2671.0,['DE0054R']
+47.414435999999995,10.980657,2650.0,['DEUB044']
+49.47221,10.984705,293.0,['DEBY056']
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+47.421075,10.985896,2962.0,['DE0057G']
+49.602631,11.001316,266.0,['DEBY116']
+47.8014984131,11.0096197128,985.0,['DE0043G']
+50.972331,11.010446,210.0,['DETH081']
+49.596654,11.017348,280.0,['DEBY015']
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+50.969578,11.024188,190.0,['DETH019']
+49.462229,11.025473,300.0,['DEBY058']
+49.32273,11.02792,344.0,['DEBY188']
+50.968562999999996,11.032475,203.0,['DETH132']
+49.440478,11.036096,308.0,['DEBY120']
+50.979455,11.037924,195.0,['DETH020']
+51.662452,11.043383,410.0,['DEST098']
+49.434732,11.049104,312.0,['DEBY055']
+51.884763,11.055916,120.0,['DEST009']
+51.88954499999999,11.055946,116.0,['DEST101']
+50.993127,11.056578,196.0,['DETH117']
+47.47706,11.05722,732.0,['DEBY196']
+51.897017,11.057461,110.0,['DEST044']
+47.483194,11.062283,720.0,['DEBY123']
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+49.323705,11.071398,338.0,['DEBY066']
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+51.456071,11.091078,143.0,['DEST106']
+49.430645,11.103631,320.0,['DEBY059']
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+47.898844,11.111199,552.0,['DEUB041']
+51.168082,11.120727,138.0,['DETH096']
+50.499955,11.134593,840.0,['DETH027']
+47.508497,11.142889,1770.0,['DEBY082']
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+51.788292,11.145903,120.0,['DEST034']
+51.65717,11.147791,385.0,['DEST070']
+47.9,11.1,552.0,['DE0046R']
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+52.95702,11.16705,50.0,['DENI060']
+50.358495,11.167539,380.0,['DETH029']
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+52.855244,11.17394,23.0,['DEST069']
+47.650521,11.202008,622.0,['DEUB036']
+47.651389,11.203333,622.0,['DE0038R']
+54.412987,11.215994,2.0,['DESH013']
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+47.660056,9.485675,-999.0,['openaq_4583']
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+51.312076,9.49112,179.0,['DEHE049']
+49.779239,9.505271,147.0,['DEBW089']
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+53.924712,9.532635,40.0,['DESH015']
+54.5273,9.549636,42.0,"['DESH006', 'openaq_3105']"
+51.70884,9.55462,290.0,['DENI077']
+54.835158,9.566455,34.0,['DESH017']
+48.884487,9.573016,500.0,['DEBW030']
+51.759751,9.577714,500.0,['DENI019']
+48.80922999999999,9.579390000000002,265.0,['DEBW149']
+53.670571,9.585911,8.0,['DESH001']
+47.777027,9.608423,435.0,['DEBW065']
+47.784949999999995,9.612949999999998,440.0,['DEBW228']
+52.82943,9.62295,50.0,['DENI052']
+53.754494999999984,9.656784,4.0,['DESH059']
+49.634841,9.657919,177.0,['DEBW059']
+49.201431,9.661751,330.0,['DEBW082']
+54.1,9.666667,75.0,['DE0011R']
+54.30121,9.66825,10.0,['DESH060']
+48.699173,9.669401,318.0,['DEBW028']
+50.546384,9.680167,271.0,['DEHE134']
+50.549297,9.682162,272.0,['DEHE058']
+50.550028,9.684854,277.0,['DEHE059']
+53.52418,9.68503,3.0,['DENI063']
+47.557473,9.688869,-999.0,['openaq_3213']
+47.554391,9.690021,403.0,['DEBY035']
+49.2797,9.693028,214.0,['DEBW053']
+50.55356,9.698524,308.0,['DEHE031']
+54.118182,9.705468,75.0,['DEUB006']
+52.36292,9.70612,80.0,['DENI054']
+52.360803000000004,9.712341000000002,62.0,['DENI174']
+52.360803000000004,9.712341000000002,67.0,['DENI149']
+52.360192,9.715423,62.0,['DENI175']
+52.359478,9.7155,-999.0,['openaq_4795']
+52.3595,9.71577,60.0,['DENI048']
+52.347585,9.718975,58.0,['DENI150']
+52.348847,9.719464,54.0,['DENI176']
+48.278434,9.722485,530.0,['DEBW048']
+51.198946,9.730328,386.0,['DEHE064']
+49.107878,9.733231,-999.0,['openaq_3065']
+49.107256,9.733632,300.0,['DEBW056']
+52.39265799999999,9.734758,58.0,['DENI153']
+52.37690099999999,9.738463000000001,60.0,['DENI151']
+52.36996499999999,9.754405000000002,59.0,['DENI152']
+47.915565,9.754411,610.0,['DEBW102']
+52.370208999999996,9.755089,55.0,['DENI178']
+51.291757,9.774588,610.0,['DEHE024']
+53.568124,9.786234,75.0,['DEHH049']
+48.799945,9.78855,320.0,['DEBW114']
+54.073119,9.791583,15.0,['DEUB038']
+54.074722,9.792778,15.0,['DE0039R']
+53.56233,9.792843,20.0,['DEHH030']
+48.80239999999999,9.79584,325.0,['DEBW155']
+48.636669999999995,9.79804,405.0,['DEBW222']
+48.090185,9.799713,560.0,['DEBW046']
+50.970024,9.80026,204.0,['DEHE032']
+48.089886,9.800325,-999.0,['openaq_4499']
+53.659575,9.805229,7.0,['DESH034']
+53.555866,9.8054,2.0,['DEHH062']
+53.532075,9.832702,5.0,['DEHH073']
+53.560597,9.842533,30.0,['DEHH006']
+53.535958,9.84408,0.0,['DEHH072']
+53.523741,9.844817,5.0,['DEHH012']
+53.480927,9.857223,3.0,['DEHH050']
+51.341371,9.858779,147.0,['DEHE038']
+53.561077,9.8999,22.0,['DEHH007']
+53.527826,9.900703,6.0,['DEHH013']
+53.599662,9.906764,18.0,['DEHH001']
+53.490024,9.908942,0.0,['DEHH018']
+51.5302,9.92833,150.0,['DENI068']
+53.55654,9.929297,28.0,['DEHH044']
+50.497711,9.935862,931.0,['DEHE051']
+49.794577,9.935939,179.0,['DEBY076']
+49.773281,9.93775,172.0,['DEBY078']
+53.555491,9.942706,25.0,['DEHH048']
+53.555668,9.943012,25.0,['DEHH070']
+53.564399,9.94458,16.0,['DEHH064']
+53.545269,9.944815,25.0,['DEHH079']
+49.790526,9.947654,198.0,['DEBY119']
+53.560479,9.948281,21.0,['DEHH058']
+51.55107,9.94976,165.0,['DENI042']
+52.150775,9.950223,60.0,['DENI066']
+52.15560500000001,9.950272,86.0,['DENI061']
+53.575941,9.953052,16.0,['DEHH037']
+49.804695,9.95642,226.0,['DEBY077']
+53.560632,9.957236,20.0,['DEHH026']
+53.599238,9.96113,11.0,['DEHH002']
+53.551103,9.963358,15.0,['DEHH041']
+53.453652,9.96386,16.0,['DEHH022']
+48.822759999999995,9.96404,413.0,['DEBW198']
+53.551042,9.965585,16.0,['DEHH078']
+53.493169,9.966263,6.0,['DEHH019']
+53.460066,9.967393,20.0,['DEHH055']
+53.56414,9.967882,15.0,['DEHH008']
+53.583575,9.968009,14.0,['DEHH065']
+53.467561,9.971706,4.0,['DEHH076']
+53.624532,9.972136,8.0,['DEHH038']
+53.52636,9.973052,8.0,['DEHH014']
+53.645704,9.976253,16.0,['DEHH039']
+48.354033,9.97655,488.0,['DEBW077']
+48.396819,9.979058,480.0,['DEBW019']
+53.456897,9.979141,14.0,['DEHH043']
+53.568898,9.97954,12.0,['DEHH052']
+48.392988,9.980065,490.0,['DEBW096']
+54.072434,9.980792,25.0,['DESH024']
+53.529158,9.981599,6.0,['DEHH081']
+53.586409,9.981878,6.0,['DEHH060']
+48.39462999999999,9.98348,481.0,['DEBW138']
+53.59393,9.984047,8.0,['DEHH042']
+48.40411,9.98731,479.0,['DEBW153']
+53.547355,9.98792,5.0,['DEHH080']
+53.448052,9.989325,12.0,['DEHH035']
+53.561358,9.989403,9.0,['DEHH040']
+53.50793,9.990569,3.0,['DEHH059']
+53.681993,9.997256,26.0,['DESH030']
+53.638291,9.998009,13.0,['DEHH033']
diff --git a/src/eurad/convert_units.py b/src/eurad/convert_units.py
new file mode 100644
index 0000000000000000000000000000000000000000..305c9ccbc8720c9cd24ed4415ca660ebe68e3f62
--- /dev/null
+++ b/src/eurad/convert_units.py
@@ -0,0 +1,90 @@
+import re
+
+import numpy
+
+mol_weight = {
+        "H2O"  : 18.0153,  #0.0180153,
+        "NH3"  : 17.03,    #0.01703,
+        "HNO3" : 63.013,   #0.063013,
+        "H2SO4": 98.073,   #0.098073,
+        "NH4"  : 18.038,   #0.018038,
+        "NO3"  : 62.005,   #0.062005,
+        "SO4"  : 96.057,   #0.096057,
+        "HSO4" : 97.065,   #0.097065,
+        "H"    :  1.008,   #0.001008,
+        "NA"   : 22.99,    #0.02299,
+        "CL"   : 35.453,   #0.035453,
+        "O3"   : 47.9982,  #0.0479982,
+        "SO2"  : 64.066,   #0.064066,
+        "CO"   : 28.0101,  #0.02801010
+        "NO2"  : 46.0055
+}
+
+conv_fac = {
+        "pptv"   : 1.0E-06,
+        "ppbv"   : 1.0E-03,
+        "ppmv"   : 1.0,
+        "ng/m**3": 1.0E-03,
+        "ug/m**3": 1.0,
+        "mg/m**3": 1.0E+03,
+        "cm^-3"  : 1.0E+06,
+        "m^-3"   : 1.0,
+        "1e-12"  : 1.0E-06,
+        "1e-9"   : 1.0E-03,
+        "1e-6"   : 1.0
+}
+
+RGAS = 8.31451
+NAvo = 6.02214E+23*1.0E-6
+
+def convert_unit_factor(in_unit : str, out_unit : str, pressure : numpy.ndarray, temp : numpy.ndarray, genus : str) -> numpy.ndarray:
+    if in_unit not in conv_fac:
+        raise KeyError(f"No conversion for in_unit: {in_unit} available in {__file__}")
+        return 0
+
+    if out_unit not in conv_fac:
+        raise KeyError(f"No conversion for out_unit: {out_unit} available in {__file__}")
+        return 0
+
+    if in_unit == out_unit:
+        return 1
+
+    if genus not in mol_weight:
+        print(f"No molecular weight available for {genus}. You can add it to the dictionary in {__file__}")
+        return 0
+
+    if temp.shape != pressure.shape:
+        print(f"Pressure shape: {pressure.shape} and temperature shape: {temp.shape} do not match!")
+        return 0
+
+    units = (in_unit, out_unit)
+    factor = numpy.ones(temp.shape, dtype=numpy.float64)
+
+    # Check if pressure is in hPa, if so convert to Pa
+    if pressure.min() < 2000:
+        pressure *= 100
+
+    for i, unit in enumerate(units):
+        exponent = 1
+        if i == 1:
+            exponent = -1
+        factor *= conv_fac[unit]**exponent
+
+        if re.match("pp[tbm]v|1e-(12|[69])", unit):
+            factor = factor
+        elif re.match("[num]g/m\*\*3", unit):
+            factor *= (temp * RGAS / (pressure * mol_weight[genus]))**exponent
+        elif re.match("c?m\^-3", unit):
+            factor *= (temp * RGAS / (pressure * NAvo))**exponent
+        else:
+            print(f"{unit} did not match any available conversions in {__file__}")
+            return 0
+    return factor
+
+def all_tests():
+    print(convert_unit_factor("ug/m**3", "ppbv", numpy.array(range(1013, 1113, 10)), numpy.array(range(293, 303)), "O3"))
+
+if __name__ == "__main__":
+    print(f"Starting test for {__file__}")
+    all_tests()
+    print(f"Finished testing for {__file__}")
diff --git a/src/eurad/eurad_netcdf.py b/src/eurad/eurad_netcdf.py
new file mode 100644
index 0000000000000000000000000000000000000000..aeddcc157c314d67431db2fd187932d9b6d9c25d
--- /dev/null
+++ b/src/eurad/eurad_netcdf.py
@@ -0,0 +1,251 @@
+import xarray as xr
+import eurad.convert_units as cu
+import numpy as np
+from latlon2grid.latlon2grid import latlon2grid
+from typing import Tuple, List
+import pandas as pd
+
+
+class EURAD_netCDF:
+    def __init__(self, filename: str):
+        """
+        Initialize the EURAD_netCDF object by opening a NetCDF file and setting initial parameters.
+
+        :param filename: Path to the NetCDF file.
+        """
+        self.__open_netcdf(filename)
+        self.grid_spacing: int = int(self.__dataset.attrs["dx"])
+        self.__fix_time_labels()
+
+    def __open_netcdf(self, filename: str):
+        """
+        Open a NetCDF file and assign it to the dataset attribute.
+
+        :param filename: Path to the NetCDF file.
+        """
+        self.__dataset = xr.open_dataset(filename)
+
+    def __fix_time_labels(self):
+        """
+        Fix the time variable in the dataset to ensure correct timestamps.
+        """
+        time_stamps = self.__dataset["time"].values
+
+        if any(time_stamps - time_stamps[0]):
+            return  # different time_stamps detected, nothing to fix here.
+        if "tfix" not in self.__dataset.variables:
+            raise AttributeError("'tfix' not found in variables")
+
+        time_offset_hours = self.__dataset["tfix"].values
+        for i, t in enumerate(time_offset_hours):
+            time_stamps[i] += np.timedelta64(int(t), "h")
+
+    def get_unit(self, species: str) -> str:
+        """
+        Retrieve the unit of a given species from the dataset.
+
+        :param species: The name of the species.
+        :return: The unit of the species.
+        """
+        return self.__dataset[species].attrs.get('units')
+
+    def save_csv(self, species: str):
+        # ToDo: Implement the functionality
+        """
+        Save species data to a CSV file.
+
+        :param species: The name of the species.
+        """
+        pass
+
+    def get_center_lat_lon(self) -> Tuple[float, float]:
+        """
+        Get the central latitude and longitude from the dataset attributes.
+
+        :return: A tuple containing the central latitude and longitude.
+        """
+        lat = self.__dataset.attrs.get("cenlat", None)
+        lon = self.__dataset.attrs.get("cenlon", None)
+        return lat, lon
+
+    def get_lat_lon(self) -> Tuple[np.ndarray, np.ndarray]:
+        """
+        Retrieve the latitude and longitude arrays from the dataset.
+
+        :return: A tuple of numpy arrays for latitude and longitude.
+        """
+        lat = self.__dataset["lat"].values
+        lon = self.__dataset["lon"].values
+        return lat, lon
+
+    def get_grid_coords(self, lat, lon):
+        x, y = latlon2grid(lat, lon, self.__dataset, 0)
+        return x, y
+
+    def get_time_series(self, species: str, lat: float, lon: float, height: int = 0, unit: str = None) -> xr.DataArray:
+        """
+        Get a time series of values for a specific species at a given latitude, longitude, and height.
+
+        :param species: The name of the species.
+        :param lat: Latitude.
+        :param lon: Longitude.
+        :param height: Height level (default is 0).
+        :param unit: The unit for conversion (default is None, no conversion).
+        :return: The time series as an xarray DataArray.
+        """
+        x, y = self.get_grid_coords(lat, lon)
+        x -= 230
+        y -= 150
+        time_series = self.__dataset[species].isel(x=x, y=y, z=height)
+        if unit is not None and unit != self.get_unit(species):
+            pressure = self.__dataset["PRS"].isel(x=x, y=y, z=height)
+            temperature = self.__dataset["TEM"].isel(x=x, y=y, z=height)
+            unit_conversion_factor = cu.convert_unit_factor(
+                self.get_unit(species),
+                unit,
+                pressure,
+                temperature,
+                species
+            )
+            time_series *= unit_conversion_factor
+            time_series.attrs["units"] = unit
+        return time_series
+
+    def get_area(self, species: str, time, height: int = 0, unit: str = None) -> xr.DataArray:
+        """
+        Get area data for a specific species, time, and height.
+
+        :param species: The name of the species.
+        :param time: Specific time.
+        :param height: Height level (default is 0).
+        :param unit: The unit for conversion (default is None, no conversion).
+        :return: The area data as an xarray DataArray.
+        """
+        values = self.__dataset[species].isel(z=height).sel(time=time)
+        if unit is not None and unit != self.get_unit(species):
+            pressure = self.__dataset["PRS"].isel(z=height).sel(time=time)
+            temperature = self.__dataset["TEM"].isel(z=height).sel(time=time)
+            unit_conversion_factor = cu.convert_unit_factor(
+                self.get_unit(species),
+                unit,
+                pressure,
+                temperature,
+                species
+            )
+            values *= unit_conversion_factor
+        return values
+
+    def get_daily_max(self, species: str, day: np.datetime64 = None, height: int = 0, unit: str = None) -> xr.DataArray:
+        """
+        Get the daily maximum for a specific species, day, and height after unit conversion.
+
+        :param species: The name of the species.
+        :param day: Specific day (default is None, calculates for all days).
+        :param height: Height level (default is 0).
+        :param unit: The unit for conversion (default is None, no conversion).
+        :return: The daily maximum area data after unit conversion as an xarray DataArray.
+        """
+        # Select the data for the species at the specified height.
+        values = self.__dataset[species].isel(z=height)
+
+        # Convert units if necessary, before finding the daily maximum.
+        if unit is not None and unit != self.get_unit(species):
+            pressure = self.__dataset["PRS"].isel(z=height)
+            temperature = self.__dataset["TEM"].isel(z=height)
+            unit_conversion_factor = cu.convert_unit_factor(
+                self.get_unit(species),
+                unit,
+                pressure,
+                temperature,
+                species
+            )
+            values *= unit_conversion_factor
+
+        # If day is specified, filter the data to this day.
+        if day is not None:
+            daily_max_values = values.sel(time=values.time.dt.day == day).max(dim="time")
+        else:
+            daily_max_values = values.resample(time='1D').max()
+
+        return daily_max_values
+
+    def get_dma8(self, species: str, day: np.datetime64 = None, height: int = 0, unit: str = None) -> xr.DataArray:
+        """
+        Get the maximum of 8-hour average for a specific species, day, and height after unit conversion.
+
+        :param species: The name of the species.
+        :param day: Specific day (default is None, calculates for all days).
+        :param height: Height level (default is 0).
+        :param unit: The unit for conversion (default is None, no conversion).
+        :return: The maximum of the 8-hourly average area data after unit conversion as an xarray DataArray.
+        """
+        # Select the data for the species at the specified height.
+        values = self.__dataset[species].isel(z=height)
+
+        # Convert units if necessary, before finding the daily maximum.
+        if unit is not None and unit != self.get_unit(species):
+            pressure = self.__dataset["PRS"].isel(z=height)
+            temperature = self.__dataset["TEM"].isel(z=height)
+            unit_conversion_factor = cu.convert_unit_factor(
+                self.get_unit(species),
+                unit,
+                pressure,
+                temperature,
+                species
+            )
+            values *= unit_conversion_factor
+
+        # Calculate 8-hour rolling average
+        values_8h_avg = values.rolling(time=8, center=True).mean()
+
+        # If day is specified, filter the data to this day and find the maximum of 8-hour averages.
+        if day is not None:
+            dma8_values = values_8h_avg.sel(time=values_8h_avg.time.dt.day == day).max(dim="time")
+        else:
+            # Calculate daily maximum of 8-hour averages for all days.
+            # We use resample to group by each day, then we apply a custom function to each group to find the maximum.
+            dma8_values = values_8h_avg.resample(time='1D').reduce(lambda x: x.max())
+
+        return dma8_values
+
+
+    def get_time_stamps(self) -> np.ndarray:
+        """
+        Retrieve the time stamps from the dataset.
+
+        :return: An array of time stamps.
+        """
+        return self.__dataset["time"]
+
+    def get_species(self) -> List[str]:
+        """
+        Get a list of all species in the dataset that have four dimensions.
+
+        :return: A list of species names.
+        """
+        return [s for s in self.__dataset.variables if len(self.__dataset[s].dims) == 4]
+
+    def export_species_to_csv(self, species, output_filename=None):
+        """
+        Export data of selected species to a CSV file.
+        :param species: Name of the species (e.g. "O3").
+        :param output_filename: Name of the CSV-Datei.
+        """
+        time_stamps = self.__dataset['time'].dt.strftime('%Y-%m-%dT%H').values
+        species_values = self.__dataset[species].isel(z=0)
+
+        latitudes = self.__dataset['lat'].values
+        longitudes = self.__dataset['lon'].values
+
+        csv_data = []
+        for y in range(latitudes.shape[0]):
+            for x in range(longitudes.shape[1]):
+                row = [latitudes[y, x], longitudes[y, x]]
+                row.extend(species_values.isel(y=y, x=x).values)
+                csv_data.append(row)
+
+        columns = ['lat', 'lon'] + list(time_stamps)
+        df = pd.DataFrame(csv_data, columns=columns)
+        if not output_filename:
+            output_filename = species + ".csv"
+        df.to_csv(output_filename, index=False)
diff --git a/src/eurad/eurad_vis.py b/src/eurad/eurad_vis.py
new file mode 100644
index 0000000000000000000000000000000000000000..aabf1df230056dcc1fca186e075bd242ce508579
--- /dev/null
+++ b/src/eurad/eurad_vis.py
@@ -0,0 +1,529 @@
+"""
+Module to create Plots out of nc Files with xArray and matplotlib and cartopy
+"""
+
+import logging
+import os
+from functools import cache
+from glob import glob
+from typing import List, Union
+import csv
+from datetime import datetime
+import textwrap
+from math import cos, radians
+
+import cartopy.crs as ccrs
+import cartopy.feature as cf
+import matplotlib
+import matplotlib.pyplot as plt
+import numpy as np
+import pandas as pd
+import xarray as xr
+from matplotlib.colors import LinearSegmentedColormap
+from matplotlib.patheffects import withStroke
+
+import eurad.convert_units as cu
+from eurad.eurad_netcdf import EURAD_netCDF
+from eurad.needle_marker import marker
+
+matplotlib.use("agg")
+
+protected_blank = '\xA0'
+de = {
+    "dm": "Tageshöchstwert der",
+    "dma8": "Tageshöchstwert des 8-Stunden-Mittelwerts der",
+    "diff": "Differenz der",
+    "diff-dm": "Differenz des Tageshöchstwerts der",
+    "diff-dma8": "Differenz des Tageshöchstwerts des 8-Stunden-Mittelwerts der",
+    "concentration": "Konzentration",
+    "date-fmt": "%d.%m.%Y",
+    "scenario": "Szenario",
+    "time-fmt": "%d.%m.%Y{}%H:%M".format(protected_blank),
+    "title": "{} am {}",
+    "title_timeseries": "{} bei {}",
+}
+
+en = {
+    "dm": "Daily Maximum",
+    "dma8": "Maximum Daily 8 Hour Mean",
+    "diff": "Difference of the",
+    "diff-dm": "Difference of the Daily Maximum",
+    "diff-dma8": "Difference of the Maximum Daily 8 Hour Mean",
+    "concentration": "Concentration",
+    "date-fmt": "%Y-%m-%d",
+    "scenario": "Scenario",
+    "time-fmt": "%Y-%m-%d{}%H:%M".format(protected_blank),
+    "title": "{} on {}",
+    "title_timeseries": "{} at {}",
+}
+
+lang_packs = {
+    "de": de,
+    "en": en
+}
+
+
+def filter_cities(dencity: float):
+    cities = []
+    directory = os.path.dirname(__file__)
+    filepath = os.path.join(directory, "res", "worldcities_scored.csv")
+    with open(filepath, mode='r', encoding='utf-8') as csvfile:
+        csv_reader = csv.DictReader(csvfile)
+        for city in csv_reader:
+            if 1/float(city["score"]) <= dencity:
+                cities.append((float(city["lng"]), float(city["lat"]), city["city"]))
+    return cities
+
+
+def is_city_in_crop_area(city, crop_area):
+    return not (
+        city[0] < crop_area[0]
+        or city[0] > crop_area[1]
+        or city[1] < crop_area[2]
+        or city[1] > crop_area[3]
+    )
+
+
+def add_cities(ax, dencity, crop_area, crs):
+    if dencity > 0:
+        cities = filter_cities(dencity)
+        for city in cities:
+            if not is_city_in_crop_area(city, crop_area):
+                continue
+            ax.scatter(city[0], city[1], c="black", s=2, transform=crs)
+            ax.annotate(city[2], xy=(city[0], city[1]), xytext=(0, 5),
+                        textcoords="offset points", ha="center", va="bottom",
+                        color="black", fontsize=8, transform=crs,
+                        path_effects=[withStroke(linewidth=2, foreground="white")])
+
+
+def default_crop(lat, lon):
+    return [lon[0, :].min(),
+            lon[0, :].max(),
+            lat[0, :].max(),
+            lat[-1, :].min()]
+
+
+def aspect_ratio(crop_area):
+    longitude_width = crop_area[1] - crop_area[0]
+    latitude_height = crop_area[3] - crop_area[2]
+    avg_latitude = (crop_area[2] + crop_area[3]) / 2
+    return longitude_width / latitude_height * cos(radians(avg_latitude))
+
+
+def plot_station(ax, station, crs):
+    if station:
+        ax.plot(
+            station["lon"],
+            station["lat"],
+            marker=marker,
+            color="red",
+            markersize=25,
+            markeredgewidth=1,
+            markeredgecolor="black",
+            transform=crs
+        )
+        ax.annotate(station["name"], xy=(station["lon"], station["lat"]),
+                    xytext=(3, 15), textcoords="offset points",
+                    ha="center", va="bottom",
+                    color="black", fontsize=6, transform=crs,
+                    path_effects=[withStroke(linewidth=2, foreground="white")])
+
+
+def plot_area(nc: EURAD_netCDF,
+              species: str,
+              time: str,
+              out_path: str,
+              unit: str = None,
+              height_layer: int = 0,
+              max_value: float = None,
+              aggregate: str = None,
+              cmap: str = "viridis",
+              crop_area: list[float] = None,
+              station: dict = None,
+              dencity: float = 0,
+              lang: str = "en"):
+    lp = lang_packs.get(lang, en)
+
+    cenlat, cenlon = nc.get_center_lat_lon()
+    lat_values, lon_values = nc.get_lat_lon()
+
+    proj = ccrs.LambertConformal(
+        central_longitude=cenlon,
+        central_latitude=cenlat,
+        standard_parallels=(60, 30),
+    )
+    crs = ccrs.PlateCarree()
+
+    if isinstance(time, int):
+        t = nc.get_time_stamps().isel(time=time)
+    elif isinstance(time, str):
+        t = nc.get_time_stamps().sel(time=time)
+
+    unit = unit if unit else nc.get_unit(species)
+
+    plot_type = ""
+    if not aggregate:
+        area = nc.get_area(species, t, height=height_layer, unit=unit)
+        time_str = t.values.astype('M8[ms]').astype('O').strftime(lp["time-fmt"])
+    elif aggregate.lower() in ["dm", "daily maximum"]:
+        plot_type = lp.get("dm")
+        day = t.dt.day.values
+        area = nc.get_daily_max(species, day=day, height=height_layer, unit=unit)
+        time_str = t.values.astype('M8[ms]').astype('O').strftime(lp["date-fmt"])
+    elif aggregate.lower() in ["dma8"]:
+        plot_type = lp.get("dma8")
+        day = t.dt.day.values
+        area = nc.get_dma8(species, day=day, height=height_layer, unit=unit)
+        time_str = t.values.astype('M8[ms]').astype('O').strftime(lp["date-fmt"])
+
+    max_value = max_value if max_value else area.max()
+
+    if not crop_area:
+        crop_area = default_crop(lat_values, lon_values)
+
+    # aspect ratio for 4 inches, plus absulute space for margins and color bar
+    fig = plt.figure(figsize=(2 + 4*aspect_ratio(crop_area), 4.7))
+    ax = plt.axes(projection=proj)
+
+    pc = ax.pcolormesh(
+        lon_values,
+        lat_values,
+        area,
+        in_layout=True,
+        transform=crs,
+        cmap=cmap,
+        vmin=0,
+        vmax=max_value,
+    )
+
+    # adding border lines
+    ax.add_feature(cf.BORDERS, linestyle="--")
+    ax.coastlines()
+
+    add_cities(ax, dencity, crop_area, crs)
+
+    ax.set_extent(crop_area, crs=crs)
+
+    plot_station(ax, station, crs)
+
+    # colorbar
+    cbar = fig.colorbar(pc, ax=ax, orientation="vertical")
+    cbar.set_label(unit)
+
+    # gridlines
+    gl = ax.gridlines(
+        crs=crs, draw_labels=True, dms=True, x_inline=False, y_inline=False
+    )
+    gl.right_labels = False
+    gl.top_labels = False
+    gl.xlines = True
+
+    plot_title = plot_type + " " + lp["title"].format(f"{species} {lp['concentration']}", time_str)
+    ax.set_title("\n".join(textwrap.wrap(plot_title, width=50)))
+    fig.tight_layout()
+    fig.savefig(out_path)
+    plt.close(fig)
+
+
+def plot_area_target(nc: EURAD_netCDF,
+                     species: str,
+                     time: str,
+                     out_path: str,
+                     target_value: float,
+                     unit: str = None,
+                     height_layer: int = 0,
+                     max_value: float = None,
+                     aggregate: str = None,
+                     crop_area: list[float] = None,
+                     station: dict = None,
+                     dencity: float = 0,
+                     lang: str = "en"):
+    lp = lang_packs.get(lang, en)
+
+    cenlat, cenlon = nc.get_center_lat_lon()
+    lat_values, lon_values = nc.get_lat_lon()
+
+    proj = ccrs.LambertConformal(
+        central_longitude=cenlon,
+        central_latitude=cenlat,
+        standard_parallels=(60, 30),
+    )
+    crs = ccrs.PlateCarree()
+
+    if isinstance(time, int):
+        t = nc.get_time_stamps().isel(time=time)
+    elif isinstance(time, str):
+        t = nc.get_time_stamps().sel(time=time)
+
+    unit = unit if unit else nc.get_unit(species)
+
+    if not aggregate:
+        plot_type = ""
+        area = nc.get_area(species, t, height=height_layer, unit=unit)
+        time_str = t.values.astype('M8[ms]').astype('O').strftime(lp["time-fmt"])
+    elif aggregate.lower() in ["dm", "daily maximum"]:
+        plot_type = lp.get("dm")
+        day = t.dt.day.values
+        area = nc.get_daily_max(species, day=day, height=height_layer, unit=unit)
+        time_str = t.values.astype('M8[ms]').astype('O').strftime(lp["date-fmt"])
+    elif aggregate.lower() in ["dma8"]:
+        plot_type = lp.get("dma8")
+        day = t.dt.day.values
+        area = nc.get_dma8(species, day=day, height=height_layer, unit=unit)
+        time_str = t.values.astype('M8[ms]').astype('O').strftime(lp["date-fmt"])
+
+    max_value = max_value if max_value else area.max()
+
+    if not crop_area:
+        crop_area = default_crop(lat_values, lon_values)
+
+    # aspect ratio for 4 inches, plus absulute space for margins and color bar
+    fig = plt.figure(figsize=(2 + 4*aspect_ratio(crop_area), 4.7))
+    ax = plt.axes(projection=proj)
+
+    colors = ["black", "lightgray", "gold", "blueviolet"]
+    target_value_normalized = min(1, target_value / max_value)
+    positions = [0, target_value_normalized, target_value_normalized, 1]
+    cmap = LinearSegmentedColormap.from_list(
+        "my_colormap", list(zip(positions, colors))
+    )
+
+    pc = ax.pcolormesh(
+        lon_values,
+        lat_values,
+        area,
+        in_layout=True,
+        transform=crs,
+        cmap=cmap,
+        vmin=0,
+        vmax=max_value,
+    )
+
+    # adding border lines
+    ax.add_feature(cf.BORDERS, linestyle="--")
+    ax.coastlines()
+
+    add_cities(ax, dencity, crop_area, crs)
+
+    ax.set_extent(crop_area, crs=crs)
+
+    plot_station(ax, station, crs)
+
+    # colorbar
+    cbar = fig.colorbar(pc, ax=ax, orientation="vertical")
+    cbar.set_label(unit)
+
+    # gridlines
+    gl = ax.gridlines(
+        crs=crs, draw_labels=True, dms=True, x_inline=False, y_inline=False
+    )
+    gl.right_labels = False
+    gl.top_labels = False
+    gl.xlines = True
+
+    plot_title = plot_type + " " + lp["title"].format(f"{species} {lp['concentration']}", time_str)
+    ax.set_title("\n".join(textwrap.wrap(plot_title, width=50)))
+    fig.tight_layout()
+    fig.savefig(out_path)
+    plt.close(fig)
+
+
+def plot_area_diff(scenario: EURAD_netCDF,
+                   base: EURAD_netCDF,
+                   species: str,
+                   time: str,
+                   out_path: str,
+                   unit: str = None,
+                   height_layer: int = 0,
+                   max_value: float = None,
+                   aggregate: str = None,
+                   crop_area: list[float] = None,
+                   station: dict = None,
+                   dencity: float = 0,
+                   lang: str = "en"):
+    lp = lang_packs.get(lang, en)
+
+    cenlat, cenlon = scenario.get_center_lat_lon()
+    lat_values, lon_values = scenario.get_lat_lon()
+
+    proj = ccrs.LambertConformal(
+        central_longitude=cenlon,
+        central_latitude=cenlat,
+        standard_parallels=(60, 30),
+    )
+    crs = ccrs.PlateCarree()
+
+    if isinstance(time, int):
+        t = scenario.get_time_stamps().isel(time=time)
+    elif isinstance(time, str):
+        t = scenario.get_time_stamps().sel(time=time)
+
+    unit = unit if unit else scenario.get_unit(species)
+
+    if not aggregate:
+        plot_type = lp["diff"]
+        area = scenario.get_area(species, t, height=height_layer, unit=unit)
+        area -= base.get_area(species, t, height=height_layer, unit=unit)
+        time_str = t.values.astype('M8[ms]').astype('O').strftime(lp["time-fmt"])
+    elif aggregate.lower() in ["dm", "daily maximum"]:
+        plot_type = lp["diff-dm"]
+        day = t.dt.day.values
+        area = scenario.get_daily_max(species, day=day, height=height_layer, unit=unit)
+        area -= base.get_daily_max(species, day=day, height=height_layer, unit=unit)
+        time_str = t.values.astype('M8[ms]').astype('O').strftime(lp["date-fmt"])
+    elif aggregate.lower() in ["dma8"]:
+        plot_type = lp["diff-dma8"]
+        day = t.dt.day.values
+        area = scenario.get_dma8(species, day=day, height=height_layer, unit=unit)
+        area -= base.get_dma8(species, day=day, height=height_layer, unit=unit)
+        time_str = t.values.astype('M8[ms]').astype('O').strftime(lp["date-fmt"])
+
+    cmap = "bwr"
+    min_value = min(area.min(), -area.max())
+    max_value = max(-area.min(), area.max())
+
+    if not crop_area:
+        crop_area = default_crop(lat_values, lon_values)
+
+    # aspect ratio for 4 inches, plus absulute space for margins and color bar
+    fig = plt.figure(figsize=(2 + 4*aspect_ratio(crop_area), 4.7))
+    ax = plt.axes(projection=proj)
+
+    pc = ax.pcolormesh(
+        lon_values,
+        lat_values,
+        area,
+        in_layout=True,
+        transform=crs,
+        cmap=cmap,
+        vmin=min_value,
+        vmax=max_value,
+    )
+
+    # adding border lines
+    ax.add_feature(cf.BORDERS, linestyle="--")
+    ax.coastlines()
+
+    add_cities(ax, dencity, crop_area, crs)
+
+    ax.set_extent(crop_area, crs=crs)
+
+    plot_station(ax, station, crs)
+
+    # colorbar
+    cbar = fig.colorbar(pc, ax=ax, orientation="vertical")
+    cbar.set_label(unit)
+
+    # gridlines
+    gl = ax.gridlines(
+        crs=crs, draw_labels=True, dms=True, x_inline=False, y_inline=False
+    )
+    gl.right_labels = False
+    gl.top_labels = False
+    gl.xlines = True
+
+    plot_title = plot_type + " " + lp["title"].format(f"{species} {lp['concentration']}", time_str)
+    ax.set_title("\n".join(textwrap.wrap(plot_title, width=50)))
+    fig.tight_layout()
+    fig.savefig(out_path)
+    plt.close(fig)
+
+
+def plot_timeseries(nc: EURAD_netCDF,
+                    species: str,
+                    station: dict,
+                    out_path: str,
+                    time: str = None,
+                    unit: str = None,
+                    height_layer: int = 0,
+                    max_value: float = None,
+                    lang: str = "en"):
+    lp = lang_packs.get(lang, en)
+
+
+    if isinstance(time, int):
+        t = nc.get_time_stamps().isel(time=time).values
+    elif isinstance(time, str):
+        t = nc.get_time_stamps().sel(time=time).values
+
+    unit = unit if unit else nc.get_unit(species)
+
+    time_series = nc.get_time_series(species,
+                                     station["lat"], station["lon"],
+                                     height=height_layer,
+                                     unit=unit)
+
+    max_value = max_value if max_value else 1.1 * time_series.max()
+
+    fig = plt.figure(figsize=(6, 3))
+    ax = plt.axes()
+
+    time_series.plot.line(marker="o")
+    if time:
+        plt.axvline(x=t, color='red', linestyle='--', linewidth=1)
+    ax.set_ylim(0, max_value)
+    ax.set_xlabel("")
+    ax.set_ylabel("{} [{}]".format(species, unit))
+
+    plot_title = lp["title_timeseries"].format(f"{species} {lp['concentration']}", station["name"])
+    ax.set_title("\n".join(textwrap.wrap(plot_title, width=50)))
+    fig.tight_layout()
+    fig.savefig(out_path)
+    plt.close(fig)
+
+
+def plot_timeseries_diff(nc: EURAD_netCDF,
+                         base: EURAD_netCDF,
+                         species: str,
+                         station: dict,
+                         out_path: str,
+                         scenario_name: str = "",
+                         time: str = None,
+                         unit: str = None,
+                         height_layer: int = 0,
+                         max_value: float = None,
+                         lang: str = "en"):
+    lp = lang_packs.get(lang, en)
+
+    if not scenario_name:
+        scenario_name = lp['scenario']
+
+    if isinstance(time, int):
+        t = nc.get_time_stamps().isel(time=time).values
+    elif isinstance(time, str):
+        t = nc.get_time_stamps().sel(time=time).values
+
+    unit = unit if unit else nc.get_unit(species)
+
+    scenario = nc.get_time_series(species,
+                                  station["lat"], station["lon"],
+                                  height=height_layer,
+                                  unit=unit)
+    base = base.get_time_series(species,
+                                station["lat"], station["lon"],
+                                height=height_layer,
+                                unit=unit)
+
+    if not max_value:
+        max_value = 1.1 * max(scenario.max(), base.max())
+
+    fig = plt.figure(figsize=(6, 3))
+    ax = plt.axes()
+
+    scenario.plot.line(marker="o", color="C0", label=scenario_name)
+    base.plot.line(marker="o", color="gray", label="Standard")
+
+    if time:
+        plt.axvline(x=t, color='red', linestyle='--', linewidth=1)
+
+    ax.set_ylim(0, max_value)
+    ax.legend()
+    ax.set_xlabel("")
+    ax.set_ylabel("{} [{}]".format(species, unit))
+
+    plot_title = lp["title_timeseries"].format(f"{species} {lp['concentration']}", station["name"])
+    ax.set_title("\n".join(textwrap.wrap(plot_title, width=50)))
+    fig.tight_layout()
+    fig.savefig(out_path)
+    plt.close(fig)
diff --git a/src/eurad/info.py b/src/eurad/info.py
new file mode 100644
index 0000000000000000000000000000000000000000..73c64a4978c28ac8b0480e93d1f8a2e26b7cfbe7
--- /dev/null
+++ b/src/eurad/info.py
@@ -0,0 +1,7 @@
+from typing import List
+from eurad.stations import Stations
+
+def get_available_stations(infile: str = "german_stations.csv", country: str = "DE", state: str = "NW") -> List:
+    stations = Stations()
+    stations.read_stations(infile, country, state)
+    return stations.get_station_list()
diff --git a/src/eurad/needle_marker.py b/src/eurad/needle_marker.py
new file mode 100644
index 0000000000000000000000000000000000000000..9a4035e44d9acc76e4b1c48276d508b76c2b5f59
--- /dev/null
+++ b/src/eurad/needle_marker.py
@@ -0,0 +1,31 @@
+import numpy as np
+from matplotlib.path import Path
+
+
+def get_needle_marker(center=(1, 5), radius=1):
+    center_x, center_y = center
+
+    center_distance = np.sqrt(center_x**2 + center_y**2)
+    line_start_x = center_x - center_x / center_distance * radius
+    line_start_y = center_y - center_y / center_distance * radius
+    control_point_distance = radius*(4/3)*np.tan(np.pi/8)
+
+    # quarter circle
+    vertices = np.array([complex(radius, 0),
+                         complex(radius, control_point_distance),
+                         complex(control_point_distance, radius),
+                         complex(0, radius)])
+    # rotate vertices by 90 degree and append
+    for i in range(3):
+        vertices = np.append(vertices, vertices[-3:]*complex(0, 1))
+
+    vertices += complex(center_x, center_y)
+    vertices = [(v.real, v.imag) for v in vertices]
+    vertices += [(line_start_x, line_start_y), (0, 0)]
+
+    codes = [Path.MOVETO] + 12*[Path.CURVE4] + [Path.MOVETO, Path.LINETO]
+
+    return Path(vertices, codes)
+
+
+marker = get_needle_marker()
diff --git a/src/eurad/res/license.txt b/src/eurad/res/license.txt
new file mode 100755
index 0000000000000000000000000000000000000000..fd7b3bf880cb4122209dcdb877f0d0b73692fd3e
--- /dev/null
+++ b/src/eurad/res/license.txt
@@ -0,0 +1,21 @@
+This license is a legal document designed to protect your rights and the rights of the Pareto Software, LLC, the owner of Simplemaps.com. Please read it carefully. Purchasing or downloading a data product constitutes acceptance of this license.
+
+Description of Product and Parties: This license is a contract between you (hereafter, the Customer) and Pareto Software, LLC (hereafter, the Provider) regarding the use and/or sale of an collection of geographic data (hereafter, the Database).
+
+Ownership of Database: All rights to the Database are owned by the Provider. The Database is a cleaned and curated collection of geographic facts and the Provider retains all rights to the Database afforded by the law. Ownership of any intellectual property generated by the Provider while performing custom modifications to the Database for a Customer (with or without payment) is retained by the Provider.
+
+License: Customers who purchase a license are allowed to use the database for projects that benefit their organization or that their organization oversees. Attribution is not required. The Customer is allowed to query the database to power privately or publicly facing applications. The Customer is allowed to make copies and backups of the data. The Customer may not publicly redistribute the Database without prior written permission. Customers can transfer their license to a third-party, at the sole discretion of the Provider, by submitting a request via email.
+
+Free US Zip Code Database: The Provider offers a free version of the US Zip Code Database. This Database is offered free of charge conditional on a link back to https://simplemaps.com/data/us-zips. This backlink must come from a public webpage where the Customer is using the data. If the Customer uses the data internally, the backlink must be placed on the organization's website on a page that can be easily found though links on the root domain. The link must be clearly visible to the human eye. The backlink must be placed before the Customer uses the Database in production.
+
+Free US Cities Database: The Provider offers a free version of the US Cities Database. This Database is offered free of charge conditional on a link back to https://simplemaps.com/data/us-cities. This backlink must come from a public webpage where the Customer is using the data. If the Customer uses the data internally, the backlink must be placed on the organization's website on a page that can be easily found though links on the root domain. The link must be clearly visible to the human eye. The backlink must be placed before the Customer uses the Database in production.
+
+Basic World Cities Database: The Provider offers a Basic World Cities Database free of charge. This database is licensed under the Creative Commons Attribution 4.0 license as described at: https://creativecommons.org/licenses/by/4.0/.
+
+Comprehensive and Pro World Cities Database Density Data: The Comprehensive and Pro World Cities Databases includes density estimates from The Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. Gridded Population of the World, Version 4 (GPWv4): Population Count. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://dx.doi.org/10.7927/H4X63JVC. Accessed June 2017. The density estimates are include under the Creative Commons Attribution 4.0 International License. The Provider places no additional restrictions on the use or distribution of the density data.
+
+Guarantee: The Provider guarantees that for the period of thirty (30) days from the purchase of a License that the Customer shall, upon request, be refunded their actual purchase price within a reasonable period of time. The Customer acknowledges that receipt of a refund constitutes a termination of their License to use the Database. In the event of a Refund, the Customer promises to delete the Database immediately. Refunds after the period of thirty (30) days shall be at the sole discretion of the Provider.
+
+LIMITATION OF LIABILITY: THE DATABASE IS SOLD "AS IS" AND "WITH ALL FAULTS". THE PROVIDER MAKES NO WARRANTY THAT IT IS FREE OF DEFECTS OR IS SUITABLE FOR ANY PARTICULAR PURPOSE. IN NO EVENT SHALL THE PROVIDER BE RESPONSIBLE FOR LOSS OR DAMAGES ARRISING FROM THE INSTALLATION OR USE OF THE DATABASE, INCLUDING BUT NOT LIMITED TO ANY INDIRECT, PUNITIVE, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES. THE CUSTOMER IS SOLELY RESPONSIBLE FOR ENSURING THAT THEIR USE OF THE DATABASE IS IN ACCORDANCE WITH THE LAW OF THEIR JURISDICTION.
+
+PROHIBITION OF ILLEGAL USE: USE OF THE DATABASE WHICH IS CONTRARY TO THE LAW IS PROHIBITED, AND IMMEDIATELY TERMINATES THE CUSTOMER'S LICENSE TO USE THE DATABASE.
\ No newline at end of file
diff --git a/src/eurad/res/worldcities_scored.csv b/src/eurad/res/worldcities_scored.csv
new file mode 100644
index 0000000000000000000000000000000000000000..7b05bb5bec708cbf0687c43cf5e2bb124bbe408c
--- /dev/null
+++ b/src/eurad/res/worldcities_scored.csv
@@ -0,0 +1,44211 @@
+city,lat,lng,population,score
+Tokyo,35.6897,139.6922,37732000,20037.5
+São Paulo,-23.55,-46.6333,23086000,13773.9859822714
+Mexico City,19.4333,-99.1333,21804000,7432.04729179665
+Jakarta,-6.175,106.8275,33756000,5783.52384014363
+Delhi,28.61,77.23,32226000,5001.02275121079
+Sydney,-33.8678,151.21,4840600,4930.7343596887
+Cairo,30.0444,31.2358,20296000,4358.17692978969
+Lagos,6.455,3.3841,16637000,3917.90688622239
+Honolulu,21.3294,-157.846,835291,3848.62587198303
+Papeete,-17.5334,-149.5667,131695,3382.68909067819
+New York,40.6943,-73.9249,18972871,3363.53183383283
+Lima,-12.06,-77.0375,10320000,3135.47834907878
+Moscow,55.7558,37.6178,17332000,2902.99190100021
+Guangzhou,23.13,113.26,26940000,2902.72912173796
+Perth,-31.9559,115.8606,2141834,2686.98605970638
+Los Angeles,34.1141,-118.4068,12121244,2506.63003393858
+London,51.5072,-0.1275,11262000,2498.83708665
+Johannesburg,-26.2044,28.0456,8000000,2483.84636800844
+Dar es Salaam,-6.8161,39.2803,7962000,2462.64961688378
+Majuro,7.0833,171.3833,30000,2230.51124157654
+Auckland,-36.8406,174.74,1346091,2153.76583341739
+Suva,-18.1416,178.4419,185913,2106.1573600658
+Port Moresby,-9.4789,147.1494,700000,2093.13920150461
+Anchorage,61.1508,-149.1091,292545,2091.27428529712
+Tehran,35.6892,51.3889,14148000,1919.14554933686
+Bogotá,4.7111,-74.0722,7968095,1893.46148509918
+Jamestown,-15.9251,-5.7179,714,1878.57021505381
+Maina,13.4692,144.7332,122411,1833.69444310625
+Ürümqi,43.8225,87.6125,4335017,1791.30963752829
+Kinshasa,-4.325,15.3222,12836000,1786.94071718902
+Miami,25.784,-80.2101,5711945,1756.68702665529
+Buenos Aires,-34.5997,-58.3819,16710000,1674.62270207823
+Manaus,-3.1,-60.0167,2219580,1669.77000426884
+Khartoum,15.5006,32.56,7869000,1622.83891159536
+Santa Cruz,-17.7892,-63.1975,3151676,1616.82517794839
+Antananarivo,-18.9333,47.5167,2610000,1615.2487289546
+Bangkok,13.7525,100.4942,18007000,1538.53982860233
+Seattle,47.6211,-122.3244,3438221,1537.07459971671
+Grytviken,-54.2806,-36.508,99,1451.11060542729
+Anadyr,64.7333,177.5167,15604,1450.80993709406
+Nuuk,64.1814,-51.6942,18326,1428.68731349258
+Dhaka,23.7639,90.3889,18627000,1418.14358505586
+Comodoro Rivadavia,-45.8647,-67.4808,730266,1407.95288997041
+Honiara,-9.4319,159.9556,84520,1404.56829008591
+Yekaterinburg,56.8356,60.6128,1468833,1397.16957071488
+Palikir,6.9178,158.185,6227,1335.68331247003
+Nouméa,-22.2758,166.458,182341,1331.72180072099
+Reykjavík,64.1467,-21.94,135688,1322.66212915364
+Petropavlovsk-Kamchatskiy,53.0167,158.65,181216,1318.69005499021
+Yakutsk,62.0272,129.7319,311760,1317.1856529507
+Riyadh,24.6333,46.7167,7237000,1308.35990813414
+Alice Springs,-23.7,133.8667,23726,1292.29662094174
+Novosibirsk,55.0333,82.9167,1625631,1291.27452266982
+Dallas,32.7935,-96.7667,5668165,1285.28155873326
+Manila,14.5958,120.9772,24922000,1248.26378729032
+Chengdu,30.66,104.0633,14645000,1237.07348713237
+Istanbul,41.0136,28.955,16079000,1236.92480454994
+Shanghai,31.1667,121.4667,24073000,1206.55560787516
+Chicago,41.8375,-87.6866,8595181,1155.94996966838
+Lusaka,-15.4167,28.2833,2467563,1150.13211763918
+Mumbai,19.0761,72.8775,24973000,1148.51291628941
+Avarua,-21.207,-159.771,5445,1145.35035162308
+Santiago,-33.4372,-70.6506,7171000,1137.38679480146
+Apia,-13.8333,-171.75,37708,1137.16586379168
+Belém,-1.4558,-48.5039,1499641,1136.54089325463
+Hamilton,32.2942,-64.7839,854,1104.21236367007
+Victoria,-4.6167,55.45,26450,1090.49437484472
+Townsville,-19.25,146.8167,178649,1087.08592887415
+Nord,81.7166,-17.8,10,1087.07571210691
+Santa Cruz,-0.5333,-90.35,11262,1061.51616668048
+Guatemala City,14.6099,-90.5252,2934841,1060.45568984487
+Madrid,40.4169,-3.7033,6211000,1052.8740104601
+Jayapura,-2.533,140.717,413283,1049.69449764748
+Fortaleza,-3.7275,-38.5275,2452185,1028.25687887131
+Mogadishu,2.0392,45.3419,4249083,1017.33678626753
+Kuala Lumpur,3.1478,101.6953,8911000,1012.0740595534
+Tripoli,32.8872,13.1914,1293016,1003.35415473764
+Addis Ababa,9.03,38.74,3041002,983.880693941585
+Davao,7.0667,125.6,1776949,977.438481761058
+Ponta Delgada,37.74,-25.67,68809,975.469766056374
+Salvador,-12.9747,-38.4767,2886698,966.407978912137
+Beijing,39.904,116.4075,18522000,953.550635544875
+Atlanta,33.7628,-84.422,5046555,942.360924686264
+Denver,39.762,-104.8758,2650725,941.479648575393
+Mbuji-Mayi,-6.15,23.6,2643000,938.756122981496
+Windhoek,-22.57,17.0836,322500,930.760373312878
+Karratha,-20.7364,116.8464,17013,921.824025711755
+Santo Domingo,18.4764,-69.8933,2581827,891.955687794805
+Karachi,24.86,67.01,15738000,882.737121039851
+Funafuti,-8.5167,179.2,6025,880.234982007821
+Berlin,52.52,13.405,4473101,877.457462651368
+Magadan,59.5667,150.8,92782,873.434402104781
+Seoul,37.56,126.99,23016000,872.75559843193
+Koror,7.3419,134.4792,8744,872.718931412868
+Tiksi,71.6269,128.835,5700,872.662828477088
+Sanaa,15.3483,44.2064,2957000,869.509127760509
+Dubai,25.2631,55.2972,3331420,867.758940794943
+Juneau,58.4546,-134.1739,32240,866.729312500138
+Saint-Denis,-20.8789,55.4481,315080,856.865748587251
+Punta Arenas,-53.1667,-70.9333,123403,849.079463093574
+Bangalore,12.9789,77.5917,15386000,844.498508764498
+Jeddah,21.5433,39.1728,3976000,844.481530063027
+Noginsk,64.4833,91.2333,229731,840.318977674651
+Ulaanbaatar,47.9203,106.9172,1396288,840.277485291088
+Casablanca,33.5333,-7.5833,4370000,839.206086877
+Kano,12,8.5167,3848885,835.007626239002
+Cape Town,-33.9253,18.4239,433688,833.454287177225
+Sapporo,43.0667,141.35,1961690,832.517434952384
+Abidjan,5.3167,-4.0333,4980000,830.115674408083
+Şalālah,17.0197,54.0897,178469,817.562454740434
+Rome,41.8931,12.4828,2872800,810.104446196178
+Mirnyy,62.55,113.9667,35223,792.517095138668
+Hanoi,21.0283,105.8542,8246600,779.743420930435
+Kyiv,50.45,30.5233,2963199,755.774929392741
+Tashkent,41.3111,69.2797,2571668,754.598786208281
+Ho Chi Minh City,10.7756,106.7019,15136000,751.266586707059
+Douala,4.05,9.7,5768400,748.681493912719
+Al Jawf,24.2167,23.3,24132,744.079360616954
+Mashhad,36.3,59.6,3372090,741.598468712937
+Nuku‘alofa,-21.1333,-175.2,23221,740.734169622373
+Arkhangelsk,64.55,40.5333,351488,734.209344105504
+Brisbane,-27.4678,153.0281,2360241,732.539545657454
+Kupang,-10.1702,123.6077,433970,722.024256779373
+Al Mijlad,11.0339,27.74,985000,720.166618066591
+Waitangi,-43.9514,-176.5611,177,719.406739277924
+Conakry,9.5092,-13.7122,1667864,714.932947868093
+Mérida,20.97,-89.62,892363,713.666771471597
+Melbourne,-37.8142,144.9631,4529500,713.587525101977
+Maracaibo,10.6333,-71.6333,2658355,711.205784919438
+Campo Grande,-20.4839,-54.615,906092,706.929961597009
+Dakar,14.6928,-17.4467,1438725,704.950685753427
+Iquitos,-3.75,-73.25,377609,704.249127641248
+Boosaaso,11.2886,49.1819,2000000,702.474009775308
+Bamako,12.6458,-7.9922,2009109,702.441188087478
+Stanley,-51.7,-57.85,2213,701.685135733896
+Baghdad,33.3153,44.3661,6183000,695.352510095457
+Stockholm,59.3294,18.0686,1611776,690.812728141416
+Budapest,47.4925,19.0514,2997958,688.999474256117
+Ambon,-3.7,128.1667,372249,685.58587266491
+Colombo,6.9344,79.8428,2323826,685.272043690785
+Lubango,-14.9167,13.5,776249,676.50421110355
+Calgary,51.05,-114.0667,1239220,673.528646989739
+Nairobi,-1.2864,36.8172,5545000,672.792719150611
+Kota Kinabalu,5.975,116.0725,452058,671.345031869206
+Tarawa,1.3382,173.0176,28802,664.015727825163
+Surabaya,-7.2458,112.7378,6499000,663.451163827468
+Almaty,43.2775,76.8958,1916822,663.194650053632
+Tasiilaq,65.6136,-37.6311,2018,660.488798824239
+Neryungri,56.6833,124.6667,57009,659.467502059953
+Boa Vista,2.8194,-60.6714,419652,654.513098614946
+Adelaide,-34.9275,138.6,1295714,653.686348193288
+Praia,14.918,-23.509,127832,652.177056651562
+Benghazi,32.1167,20.0667,631555,650.303396778268
+Córdoba,-31.4167,-64.1833,1565112,646.271386198563
+Broome,-17.9619,122.2361,11547,644.056166862552
+Surgut,61.25,73.4333,395900,639.618465602047
+Halifax,44.6475,-63.5906,403131,638.099411859185
+Qaanaaq,77.4667,-69.2306,646,637.415960276508
+Monterrey,25.6667,-100.3,5341171,636.258571832392
+Krasnoyarsk,56.0089,92.8719,1083865,635.394775017853
+Ust’-Nera,64.5666,143.2,9148,635.284587574027
+Saint Petersburg,59.95,30.3167,5384342,634.990435197176
+Ouagadougou,12.3686,-1.5275,2453496,631.090290493713
+Wuhan,30.5872,114.2881,10251000,629.347266507904
+Recife,-8.05,-34.9,1653461,626.036636153027
+Palmas,-10.1844,-48.3336,272726,625.655676458022
+Las Palmas,28.1272,-15.4314,378797,620.873120466778
+Brasília,-15.7939,-47.8828,3039444,620.31474239994
+Winnipeg,49.8844,-97.1464,705244,619.911902545497
+Asunción,-25.3,-57.6333,524190,618.299565898945
+Guayaquil,-2.19,-79.8875,2723665,617.300784435885
+Bilibino,68.05,166.45,5319,614.100063990667
+Male,4.1753,73.5089,133019,612.112234875377
+Naha,26.2122,127.6792,316048,607.779511483805
+Port Blair,11.6683,92.7378,100608,607.608268381782
+Omsk,54.9667,73.3833,1178391,607.602639750561
+Suihua,46.6384,126.9808,5418153,607.542403981768
+Makassar,-5.1619,119.4362,1338663,606.066842037652
+Xi’an,34.2667,108.9,12328000,605.445309807686
+Pontianak,-0.0206,109.3414,618388,602.82854597917
+Vila Velha,3.2167,-51.2167,1209091,600.71736449171
+Arawa,-6.225,155.5667,40266,600.698591300965
+Taipei,25.0375,121.5625,9078000,595.649149620807
+Murmansk,68.9706,33.075,298096,589.624752039772
+Saumlaki,-7.975,131.3075,149790,588.740216212923
+Androtsy,-24.1,46.3,809313,588.122653784557
+Hargeysa,9.5631,44.0675,1200000,587.600076814593
+Sabhā,27.0389,14.4264,116016,586.550779503009
+Phoenix,33.5722,-112.0892,4047095,586.466595580539
+Kabul,34.5253,69.1783,4273156,584.075023808125
+Mbandaka,0.0478,18.2558,1187837,583.413699417208
+Thompson,55.7433,-97.8553,13678,582.783597676454
+Salt Lake City,40.7776,-111.9311,1135344,582.557090583666
+Samarinda,-0.5,117.1378,753370,577.787258062632
+Prayagraj,25.4358,81.8464,5954391,577.548462905999
+Billings,45.7891,-108.5526,124973,577.019121962457
+San José,9.9325,-84.08,1543000,575.380643836397
+Vorkuta,67.5,64.0333,77314,575.112956861296
+Rangoon,16.795,96.16,5209541,574.920420892866
+Fort-de-France,14.6,-61.0667,253995,571.06831103761
+Conception Bay South,47.5167,-52.9833,26199,569.265374480008
+Minneapolis,44.9635,-93.2678,2856952,569.104605946555
+Mbeya,-8.9,33.45,467000,566.402308404844
+Asmara,15.3228,38.925,963000,566.347500518509
+Cuiabá,-15.5958,-56.0969,585367,565.646200182351
+Juárez,31.7386,-106.487,1321004,562.602666098525
+Shenyang,41.8025,123.4281,7964000,561.527184041947
+Tofol,5.3258,163.0086,2591,561.09233377178
+Novyy Urengoy,66.0833,76.6833,113254,560.65229225414
+Hobart,-42.8806,147.325,222356,558.904569917947
+Qamdo,31.1375,97.1777,760966,558.143821656842
+Norilsk,69.3333,88.2167,179554,554.943669788901
+Luanda,-8.8383,13.2344,9051000,552.28406454873
+Kalgoorlie,-30.7489,121.4658,30841,548.846474812643
+Porto Alegre,-30.0331,-51.23,1484941,546.946496565915
+La Paz,-16.5,-68.15,2867504,545.371182656827
+San Francisco,37.7558,-122.4449,3290197,544.075784595791
+Toronto,43.7417,-79.3733,5429524,543.529998409067
+Kuwait City,29.3697,47.9783,3000000,541.277751834137
+Port-Vila,-17.7333,168.3167,51437,541.12642607915
+Baku,40.3667,49.8352,2300500,537.595662941806
+Paramaribo,5.8522,-55.2039,223757,530.265519652949
+Kisangani,0.5153,25.1911,935977,528.554945651226
+Okha,53.5889,142.9492,20715,527.168400927159
+New Orleans,30.0687,-89.9288,925443,527.028307059435
+Ciudad Guayana,8.3667,-62.65,751331,522.429886736634
+Tórshavn,62,-6.7833,13326,520.916347177973
+Antofagasta,-23.65,-70.4,348517,520.792078319989
+Algiers,36.7539,3.0589,3415811,520.269887475537
+Irkutsk,52.2833,104.2833,623736,520.154792956593
+Caracas,10.4806,-66.9036,2245744,517.290211390424
+Manado,1.4931,124.8413,461636,515.386240405028
+Tunis,36.8064,10.1817,1056247,515.047107696858
+Panama City,8.9833,-79.5167,1500189,511.516174005783
+Vishākhapatnam,17.7042,83.2978,2035922,511.303432123397
+Barcelona,41.3825,2.1769,4800000,505.635072136028
+Maiduguri,11.8333,13.15,1197497,504.431026981623
+Kampala,0.3136,32.5811,1680600,503.4820205978
+Lisbon,38.7253,-9.15,2719000,503.206647658995
+Nukus,42.4667,59.6,319583,502.975058210521
+Stuttgart,48.7775,9.18,2787724,499.827297429738
+Hyderābād,17.385,78.4867,10494000,499.255993373856
+Darwin,-12.4381,130.8411,136828,498.890428027077
+Mongu,-15.2775,23.1319,179585,498.439005397371
+Bordj Mokhtar,21.3289,0.9542,16437,497.852127862402
+Dikson,73.507,80.5451,1113,497.054573522071
+Foammulah,-0.2932,73.4236,13037,496.964901375548
+Antsiranana,-12.3,49.2833,129320,496.729743653058
+Amman,31.9497,35.9328,4007526,495.226436041914
+Batagay,67.656,134.635,4266,494.777691702551
+Wellington,-41.2889,174.7772,418500,494.638803412392
+Scoresbysund,70.4853,-21.9667,345,492.609187180534
+Cloncurry,-20.7047,140.5052,2719,491.365743167069
+Tamanrasset,22.785,5.5228,76000,490.280589380131
+Kumul,42.8193,93.5151,673383,490.239706208057
+Santarém,-2.43,-54.72,306480,489.955897220176
+Faya,17.9169,19.1167,48090,489.846780277864
+Linyi,35.1041,118.3502,11018365,489.694492837121
+Trujillo,-8.112,-79.0288,919899,482.874290284536
+Saskatoon,52.1333,-106.6833,246376,482.85027388424
+Bangui,4.3733,18.5628,889231,482.181181806182
+Qaqortoq,60.7222,-46.0403,3093,481.801674814882
+São Luís,-2.5283,-44.3044,1108975,481.670716319316
+Monrovia,6.3133,-10.8014,1021762,478.573807639172
+Blantyre,-15.7861,35.0058,1895973,478.213769411168
+Warsaw,52.23,21.0111,1860281,475.537007108405
+Funchal,32.65,-16.9167,111892,466.639662912516
+Sorong,-0.8667,131.25,272349,465.391486240105
+Nampula,-15.1167,39.2667,743000,462.682003824069
+Guadalajara,20.6767,-103.3475,5525000,461.36378500624
+Bratsk,56.1167,101.6,231602,460.515309489712
+Adrar,27.8742,-0.2939,68276,456.674561108988
+Maputo,-25.9667,32.5833,1191613,453.919744258215
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+Porangatu,-13.4408,-49.1489,42355,136.83095833403
+Santa Rita de Cássia,-11.0089,-44.5189,28822,136.796218357547
+Mbulu,-3.85,35.55,36408,136.767618853317
+Tocopilla,-22.0964,-70.2,24460,136.682364701357
+Red Deer,52.2681,-113.8111,100418,136.588971253107
+Jiujiang,29.7048,116.0021,4896800,136.483195566409
+Antsohihy,-14.8762,47.9834,38253,136.461700554662
+Safi,32.2833,-9.2333,308508,136.455432922591
+Santiago Papasquiaro,25.0439,-105.4192,26121,136.44663945426
+Lamu,-2.2694,40.9022,25385,136.430669327015
+Omatjete,-21.05,15.5,12000,136.41984179906
+Skovorodino,53.9833,123.9333,8746,136.393395871037
+La Paz,-30.75,-59.65,24307,136.312489541731
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+San José de Jáchal,-30.2333,-68.75,21018,135.921658762288
+Esmeraldas,0.9667,-79.6528,154035,135.905746652509
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+Mocuba,-16.8496,38.26,68984,135.867585420498
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+Nova Xavantina,-14.6728,-52.3528,20519,135.73678195932
+La Primavera,5.4906,-70.4092,17626,135.558461697812
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+Bordertown,-36.3118,140.7702,2953,135.476989450023
+Mmabatho,-25.85,25.6333,104428,135.468504036284
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+Ağrı,39.7186,43.0508,149188,134.955352706234
+Villa O’Higgins,-48.4683,-72.56,612,134.950802000844
+Fuyang,32.8986,115.8045,8200264,134.946265916898
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+Tostado,-29.2333,-61.7667,14582,134.376283866413
+Norrköping,58.6,16.2,137326,134.35557625831
+Jequié,-13.863,-40.0843,161528,134.30412741917
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+Ioánnina,39.6636,20.8522,113094,133.960406369807
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+Pirapora,-17.3478,-44.9436,53368,133.738223368409
+Presidente Prudente,-22.1256,-51.3889,222192,133.725375540559
+Guarapuava,-25.3833,-51.45,167328,133.696238631312
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+Luuq,3.6981,42.5972,134000,133.54916537443
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+Santa Ana de Yacuma,-13.7444,-65.4269,12783,133.253786701594
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+Aguachica,8.3167,-73.6333,109621,132.908703212126
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+Araripina,-7.55,-40.5667,77302,132.421311336464
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+Remanso,-9.6219,-42.0808,42275,132.077922575939
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+Türkmenbaşy,40.0167,52.9667,73000,131.942181156638
+Quincy,39.9336,-91.3799,39687,131.935356614164
+Villa María,-32.4103,-63.2314,79356,131.912050539732
+Saint David’s,12.0444,-61.6806,12486,131.891653422439
+Khōst,33.3331,69.9169,160214,131.880028319315
+Valle de La Pascua,9.2033,-66.0103,115902,131.872260942287
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+Montgomery,32.3482,-86.2668,253711,131.663887871405
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+General Eugenio A. Garay,-20.52,-62.21,972,131.186826685789
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+San Ignacio,-5.1456,-79.0017,127523,131.097534929707
+San Angelo,31.4424,-100.4504,100330,131.045809119965
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+Venice,45.4397,12.3319,261321,130.823723339402
+Tébessa,35.4,8.1167,194461,130.717319837173
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+Bragança,-1.0628,-46.7728,122881,130.37205289135
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+Namlea,-3.25,127.0833,36680,130.242302367787
+Rantau Prapat,2.3333,100.05,172862,130.186097119043
+Venado Tuerto,-33.75,-61.9667,76432,130.167315902745
+Passo Fundo,-28.25,-52.4,204722,130.120898620812
+Valdivia,-39.8139,-73.2458,150048,130.086207498317
+Cần Thơ,10.0333,105.7833,1237300,130.022055738904
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+Matéri,10.6978,1.0633,113958,129.114088845062
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+Nsanje,-16.9167,35.2667,26844,128.761978271024
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+Poltava,49.5894,34.5514,317847,128.635312952315
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+Sơn La,21.327,103.9141,106052,128.428237445852
+Moree,-29.465,149.8344,9311,128.416168272371
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+Al Başrah,30.515,47.81,1326564,128.379780180554
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+Ascención de Guarayos,-15.8922,-63.1881,18816,128.180987606543
+Nanping,26.6448,118.1728,2690000,128.120468079577
+Villa Curuguaty,-24.48,-55.71,65310,128.118674427002
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+Mukumbura,-16.2,31.6833,30470,127.865515826323
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+Philadelphia,40.0077,-75.1339,5512873,127.767574178335
+Tame,6.4667,-71.7333,53266,127.739805290632
+Bom Jesus da Lapa,-13.255,-43.4178,69526,127.72940534594
+Al Hufūf,25.3833,49.5833,660788,127.680609474878
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+Kirātot,32.8376,76.2296,210406,127.661519271586
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+Contamana,-7.3333,-75.0167,18921,127.570725330444
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+Coffs Harbour,-30.3022,153.1189,27089,127.495971380054
+Tifariti,26.158,-10.567,3000,127.452700975214
+Torbat-e Jām,35.2439,60.6225,100449,127.439070799592
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+Shanwei,22.7664,115.3331,2993600,127.408168854168
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+Thanh Hóa,19.8075,105.7764,393294,127.372896649384
+Sīdī Barānī,31.6108,25.9256,14393,127.35280795792
+Al Ḩillah,23.4895,46.7564,594605,127.248612718124
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+Totma,59.9667,42.75,9805,127.128418344806
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+Huaraz,-9.5333,-77.5333,118836,127.041926816723
+Ciudad Lázaro Cárdenas,17.9561,-102.1922,79200,127.033610124003
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+Butte,45.902,-112.6571,34368,126.508043904552
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+Canarana I,-13.55,-52.1658,20461,126.467741674009
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+São Félix do Araguaia,-11.6169,-50.6689,11209,125.728567840565
+Şanlıurfa,37.1583,38.7917,1985753,125.701499292699
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+Qinhuangdao,39.9398,119.5881,3146300,125.653540591195
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+Alegrete,-29.7839,-55.7911,73028,125.198806832008
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+Jabuticabal,-21.255,-48.3219,75820,36.723989884462
+Muelle de los Bueyes,12.0664,-84.5428,22082,36.7218651470326
+Alpu,39.7667,30.95,11242,36.7152097271368
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+Aïn M’Lila,36.0367,6.5719,88441,36.7067441980887
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+Ad Dujayl,33.8389,44.2481,100000,36.6835247767174
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+Mogiyon,39.25,67.65,19553,27.9457006016161
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+Arles,43.6767,4.6278,51031,27.9433594086744
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+Ingabu,17.8167,95.2667,22225,27.9337905657478
+Dahmani,35.95,8.8333,27907,27.9335416843322
+Penrith,54.6648,-2.7548,14756,27.9260106268924
+Huanghuajie,27.995,103.55,50032,27.9256816241075
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+Anjoma-Ramartina,-19.6333,45.9667,15000,27.9210985512057
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+Jiangjiafan,31.0238,111.9709,400000,27.9142280503362
+Terneuzen,51.3333,3.8333,54589,27.9131576609911
+Pawāyan,28.0667,80.1,28613,27.9128472731584
+Nikki,9.9333,3.2083,69970,27.9110128137907
+Reghin,46.7758,24.7083,33281,27.9108120063627
+Bocas de Satinga,2.3469,-78.3256,32759,27.9064013162583
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+Ninheira,-15.3208,-41.7539,9815,27.8942524158175
+Lençóis,-12.5628,-41.39,11499,27.892079620584
+Nehoiu,45.3531,26.305,10211,27.8913781130591
+Midland,43.6241,-84.2319,42425,27.8885365379171
+Klippansbruk,56.1167,13.15,16715,27.8884367478412
+Oulad Teïma,30.4,-9.2167,89387,27.8879020343913
+Lübbenau/Spreewald,51.8667,13.9667,15969,27.882039032672
+Rosario de Lerma,-24.9833,-65.5833,21592,27.8745602081295
+’Ayn Bni Mathar,34.0889,-2.0247,16289,27.8736786461014
+Zhijiang,30.4271,111.7506,495995,27.8721876256527
+Pak Phanang,8.3538,100.2023,20425,27.8697577220731
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+Butare,-2.6,29.75,50220,27.8605694301369
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+Eschwege,51.1881,10.0528,19606,27.8556282241197
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+Ankilimivory,-24.4667,44.9667,15000,27.8427685150362
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+Trancoso,40.7833,-7.35,9878,27.8344016381297
+Serrolândia,-11.4158,-40.3019,13373,27.8342793228099
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+Palmeira d’Oeste,-20.4158,-50.7619,9596,27.8288225034516
+Koprivnica,46.15,16.8167,30854,27.8282605801031
+Miraíma,-3.5689,-39.97,12800,27.8235070135053
+Sankt Johann im Pongau,47.35,13.2,11235,27.8230927855493
+Udamalpet,10.5855,77.2513,61133,27.8177983160349
+Kumanovo,42.1322,21.7144,70842,27.8144421144581
+Khānah Sūr,36.4731,41.6161,31161,27.8121361845285
+Shuya,56.85,41.3667,58114,27.8094814904047
+Frankfort,38.1924,-84.8643,28479,27.80783280697
+Sbeitla,35.2297,9.1294,20253,27.8019639516975
+Olho d’Água das Cunhãs,-4.1389,-45.12,18601,27.8015628612545
+Buxar,25.5605,83.9805,102861,27.801128259159
+Sītāmau,24.0147,75.3532,17013,27.7993790345275
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+Russellville,34.5055,-87.7283,10691,27.795311151488
+Fremont,37.5265,-121.9843,231502,27.7942817416738
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+Wujiaqu,44.167,87.543,96436,27.7919580422811
+Tepalcatepec,19.1833,-102.85,42879,27.7900797720381
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+Bail-Hongal,15.8137,74.8589,57057,27.7895512102297
+Ciudad de Ceuta,35.8867,-5.3,83517,27.7870336461977
+Mairi,-11.7108,-40.1489,20097,27.7860131386093
+Chemax,20.655,-87.9372,14885,27.7820215035426
+Landsberg,48.0478,10.8989,29344,27.7787571062261
+Çan,40.0275,27.0475,48215,27.7770084878136
+Bequimão,-2.4489,-44.7828,20344,27.7766393731885
+Yongcong,26.0451,109.1327,13670,27.7739538453871
+Majidpur,23.5796,90.7689,30257,27.7653934246387
+Al Quşayr,34.5119,36.5764,46772,27.7648370003563
+Feicheng,36.186,116.772,946627,27.7643159688474
+Nazaré,-13.035,-39.0139,29406,27.7640722863684
+Bni Frassen,34.3833,-4.3833,23429,27.7626144200536
+Ataco,3.6,-75.3833,13470,27.7621556920597
+Junction City,39.0277,-96.8508,23033,27.7599935904783
+Bulung’ur Shahri,39.76,67.27,29200,27.7575000861671
+Cremona,45.1333,10.0333,72077,27.7554477269831
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+Yingyangcun,22.0974,106.7567,31109,27.754485479235
+Candiota,-31.5578,-53.6728,8771,27.7534455687874
+Stonecrest,33.6842,-84.1372,58602,27.751545405009
+Dubove,48.1781,23.8863,9938,27.7469611878748
+Poté,-17.8069,-41.7858,15667,27.7402733340299
+Oyama,36.3146,139.8002,167874,27.739749158676
+Coventry,52.4081,-1.5106,362690,27.7389991352592
+Chākia,26.416,85.0467,21948,27.7389565897254
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+Santa Rosa de Osos,6.65,-75.4667,37435,27.7240103594387
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+Xiaping,24.6168,112.5945,23536,27.7235953809013
+Kofelē,7,38.75,13127,27.7221767230436
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+Alghero,40.56,8.315,43964,27.7146676021619
+Harpālpur,25.2877,79.3328,20341,27.7141198809277
+Dingolfing,48.6333,12.5,20191,27.7136547773196
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+Irineópolis,-26.2389,-50.8,10448,27.7073967643037
+Cedartown,34.0223,-85.2479,10091,27.7065868290138
+Sikandra Rao,27.7,78.4,38485,27.7061766507018
+Las Tablas,7.7667,-80.2833,11358,27.7048316894868
+Sim,54.9833,57.7,12893,27.7033620868235
+Depālpur,22.8509,75.5422,20077,27.7021113949578
+Cartago,4.7,-75.9167,134972,27.6992814985674
+Khajurāho,24.85,79.9333,24481,27.6982602044392
+Nuevo Ideal,24.8875,-105.0728,12850,27.6959858524223
+Lalmanirhat,25.9167,89.45,60322,27.6948172815219
+Lingen,52.5231,7.3231,55599,27.6927368754124
+Quba,41.3597,48.5125,20791,27.6915357302056
+Tiszaújváros,47.9333,21.0833,14649,27.6910674193481
+Hưng Yên,20.65,106.0667,147275,27.6766808392129
+Taşlıçay,39.6333,43.3778,20450,27.6747987756654
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+Dabra,25.8857,78.3322,74807,27.6703535388916
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+Nyamata,-2.205,30.145,34922,27.669659895931
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+Bela Vista de Goiás,-16.9728,-48.9528,24554,27.6618448565844
+Anderson,40.0891,-85.6892,85700,27.6594830682917
+Bernay,49.0886,0.5983,9951,27.6590752627047
+Karlovo,42.6436,24.8072,22095,27.6583996480798
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+Rakhiv,48.05,24.2167,15621,27.6463961447719
+Parit Buntar,5.1167,100.5,26328,27.6454381294832
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+Sidney,40.2891,-84.1667,20559,27.6413052932435
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+Mesolóngi,38.3692,21.4278,12785,27.6268905389436
+Bakhmach,51.181,32.8163,18441,27.6255792835752
+Sardinata,8.0833,-72.8,22583,27.6255311558303
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+Capitão de Campos,-4.4569,-41.9439,10953,27.602389338864
+Anajatuba,-3.2639,-44.62,25291,27.6005645063696
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+Toba Tek Singh,30.9711,72.4825,75943,27.5961803939768
+Cotija de la Paz,19.81,-102.7047,19018,27.5938315763159
+Roccastrada,43.0097,11.1683,9074,27.5873724684979
+Ciudad Insurgentes,25.2617,-111.7744,9133,27.586692964242
+Wellington North,43.9,-80.57,11914,27.5823338057572
+Stroud,41.0001,-75.2173,19711,27.581232479191
+Dobele,56.6167,23.2667,8731,27.5745969254959
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+Miranda de Ebro,42.6833,-2.9333,35528,27.5692837485422
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+Resplendor,-19.3258,-41.255,17089,27.5497987302937
+Badarwās,24.9752,77.5649,13739,27.5487541713883
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+Ambalaroka,-22.1333,47.7333,22000,27.5314174899781
+Meaux,48.9603,2.8883,55750,27.5283801829223
+Łuków,51.9272,22.3833,30381,27.5272477625019
+Juma Shahri,39.7161,66.6642,15571,27.5242419655225
+Vuhledar,47.7794,37.2475,14822,27.5231271223265
+Tancítaro,19.3384,-102.3626,31100,27.5224544866701
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+Pailitas,8.9667,-73.6333,22083,27.5069437126607
+Lavezares,12.5333,124.3333,29390,27.505712065622
+Krosno Odrzańskie,52.0333,15.1,11238,27.5056393828629
+Digboi,27.3932,95.6184,27129,27.5038296002754
+Tomarza,38.4472,35.7992,22808,27.5030764557681
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+Coronda,-31.9667,-60.9167,18115,27.4937592671277
+Jilotlán de los Dolores,19.3719,-103.0193,9917,27.4874939132978
+Tivoli,41.9667,12.8,56542,27.4869294520433
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+Shangluhu,23.2538,115.5815,28581,27.4760610099844
+Bafatá,12.1719,-14.6575,22501,27.4745416553355
+Tarāna,23.33,76.03,28317,27.4697892432857
+Piggs Peak,-25.961,31.247,5750,27.4692925106241
+Bolinao,16.3881,119.8947,83979,27.4692078072134
+Kuangfu,23.6351,121.4228,11975,27.4688509719708
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+Caraga,7.3283,126.5658,39704,27.4658229530806
+Jimboomba,-27.83,153.0313,13201,27.4644193953213
+Bordj Okhriss,36.0833,3.9667,10467,27.4602811998014
+Afgooye,2.1413,45.1169,79400,27.4590797083162
+Champasak,14.8833,105.8667,13400,27.4552804634641
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+Hanover,39.8118,-76.9836,67037,27.4446262004746
+Pacajus,-4.1728,-38.4608,61838,27.4405176876288
+Milagro,-2.1347,-79.5872,133508,27.4390535733134
+Timahdit,33.2369,-5.06,10945,27.4350781871556
+Harbel,6.2833,-10.35,25309,27.4324315891113
+Talghar,43.3,77.2333,47301,27.4314298981837
+Lamzoudia,31.5833,-8.4833,25674,27.4217006922985
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+Bofete,-23.1022,-48.2578,10879,27.4176310171273
+Amealco,20.1881,-100.1439,56457,27.416951955464
+Brattleboro,42.8619,-72.6145,12187,27.4160485743749
+Homa Bay,-0.5167,34.45,32174,27.4131638775544
+Knittelfeld,47.215,14.8294,12626,27.4120696311888
+Kundgol,15.2561,75.2474,22228,27.4113416998679
+Pen,18.75,73.08,37852,27.4091166909098
+Ashford,51.1465,0.8676,67528,27.4061713119862
+Yasinia,48.2728,24.3747,8579,27.4061387292984
+Guntakal Junction,15.12,77.63,48658,27.4031434586695
+Mitrovicë,42.8833,20.8667,85360,27.4017998751306
+Gangārāmpur,25.4,88.52,56217,27.4010797735186
+Dengtalu,36.1386,114.1066,887000,27.4008793227137
+Kinna,57.5167,12.6833,15452,27.4006520189242
+Anantarāzupeta,14.0014,79.3319,14287,27.3989640356582
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+Eskilstuna,59.3708,16.5097,67359,27.3843961126978
+Radekhiv,50.2828,24.6375,9800,27.3835980666577
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+Itambacuri,-18.0364,-41.683,22809,27.3669548811664
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+Ifanirea,-22.1833,47.4667,19000,27.3640349852305
+Ibipitanga,-12.8819,-42.4858,15296,27.3611394049054
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+Qasbat Tadla,32.6,-6.2667,47343,27.3504267675846
+Ikryanoye,46.0903,47.7306,10036,27.3503897253084
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+Ninh Bình,20.2539,105.975,160166,27.3369894586017
+Quirihue,-36.2833,-72.5333,12562,27.3367978196037
+Punata,-17.55,-65.8333,14742,27.3346004034392
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+Frontino,6.7833,-76.1333,20156,27.3235772582659
+Surazh,53.0167,32.3833,10728,27.3234553910848
+Ros Comáin,53.6333,-8.1833,5876,27.3218267054199
+Ban Khek Noi,16.8118,100.9671,15382,27.3142779678795
+Magitang,35.9386,102.0297,19226,27.3137236836104
+Oshnavīyeh,37.0389,45.0992,70030,27.3115312673544
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+Oliveira de Azemeis,40.84,-8.475,68611,27.3068368993194
+Hāngal,14.7646,75.1246,33011,27.3053591743855
+Dargeçit,37.544,41.72,14976,27.3037965881014
+Dowa,-13.6667,33.9167,7135,27.3030414603091
+Msoga,-6.5667,38.3,10144,27.2969444719924
+Ban Pong Tao,18.8333,99.95,8846,27.2945451280743
+Gālivedu,14.0333,78.5,16344,27.29292294302
+Gogrial,8.53,28.1,50065,27.2916265240443
+Nāyudupet,13.9,79.9,45055,27.2860548644388
+Cieza,38.2392,-1.4189,35301,27.2819280511073
+Licata,37.1083,13.9469,37008,27.2805672217937
+Pogradec,40.9,20.65,20848,27.2789515482715
+Qiman al ‘Arūs,29.3005,31.1683,28246,27.275547773088
+Dowlatābād,35.2822,59.5197,9329,27.2753315681776
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+Ezine,39.79,26.3325,15408,21.8942425672533
+Oakville,38.4479,-90.3199,35357,21.8934956609701
+Montepulciano,43.1,11.7833,13984,21.8929238466028
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+Ostrów Wielkopolski,51.6494,17.8164,70725,21.7818481661051
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+Menghan,21.8526,100.9265,43965,21.7798351087355
+Bakhtiyārpur,25.4667,85.5167,42626,21.7777862839555
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+Az Zarqā’,32.0833,36.1,481300,21.6607991333247
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+Marilândia do Sul,-23.745,-51.3078,8814,21.6090895053804
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+Fălticeni,47.4597,26.3,25723,21.5748976554519
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+Sidi Yahya Zaer,33.7105,-6.8831,57790,20.6141678832242
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+Sergio Osmeña Sr,8.3003,123.5083,31942,20.474459543282
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+Kunnamkulam,10.65,76.08,49230,20.2697484741765
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+Betsiaka,-13.15,49.2333,10661,17.8571417811799
+Senhora dos Remédios,-21.0278,-43.5828,10196,17.8533944058145
+Galion,40.7385,-82.7792,10402,17.8510262816892
+Bālumāth,23.8298,84.7888,8875,17.8482737886242
+Shahr-e Pīr,28.3106,54.3347,8927,17.8477663931408
+Corona,33.8616,-117.5649,157844,17.8474292988586
+San Cristóbal Verapaz,15.365,-90.4792,80613,17.8452724891051
+Yoshinogawa,34.0631,134.3614,38726,17.8417037149028
+Tarumizu,31.5228,130.7594,13688,17.8407032483612
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+Corzuela,-26.9333,-60.9667,10470,17.8378565376571
+Bamora,24.0554,78.0893,9785,17.8375457891379
+Morro Agudo,-20.7314,-48.0578,31620,17.8369635596298
+Osilnica,45.5289,14.6983,76,17.8363021748655
+Johor Bahru,1.4556,103.7611,497097,17.8341182419899
+Calimete,22.5339,-80.9097,29736,17.8311931368979
+Salto de Pirapora,-23.6489,-47.5728,45860,17.8288128054525
+Santa Rosa,-26.8667,-56.85,20306,17.8237558272713
+Peralillo,-34.4875,-71.4917,10682,17.8231414834341
+Talupula,14.25,78.2667,11213,17.8222098624864
+Radolfzell am Bodensee,47.7333,8.9667,31582,17.8209576842883
+Polakala,13.3458,78.8167,8878,17.8198173158675
+Loma de Cabrera,19.422,-71.615,15624,17.8190920696882
+Jawor,51.05,16.2,22758,17.8188319652309
+Działdowo,53.2333,20.1833,21279,17.8186292478286
+Canalete,8.79,-76.2411,23520,17.8180378014559
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+Boksitogorsk,59.4833,33.8333,15249,17.8162282628363
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+Pajo,-8.5167,120.3333,12545,17.8137564836685
+Odintsovo,55.6667,37.2667,146574,17.8130489978122
+Falmouth,50.15,-5.07,21797,17.8123863634755
+Carbondale,41.5714,-75.5048,8828,17.812323124988
+Andriivka,49.5325,36.6219,8654,17.8109891595989
+Fredericia,55.5667,9.75,40886,17.8072445529163
+Spremberg,51.5717,14.3794,24373,17.8060118767281
+Great Driffield,54.005,-0.438,13080,17.8057609890319
+Nanzhai,26.6299,108.7645,12495,17.80023870251
+Peñaflor,-33.6167,-70.9167,90201,17.7986890598088
+Rehti,22.7378,77.434,12859,17.7977218848722
+Street,51.1235,-2.7381,11805,17.7958373774312
+Centennial,39.5926,-104.8673,107972,17.7950475123737
+Bayaguana,18.75,-69.6333,31889,17.7946491255976
+Huautla,21.0308,-98.285,22521,17.7935941673872
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+Romans-sur-Isère,45.0464,5.0517,33160,17.7898414616159
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+Rehli,23.63,79.08,30329,17.7840620201376
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+Compostela,7.6667,126.0833,89884,17.7835100388587
+Tequisquiapan,20.5206,-99.8958,29799,17.7817137498559
+Gōtsuchō,35.0167,132.2167,22838,17.7814667473749
+Gumaca,13.921,122.1002,71942,17.7743121819128
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+Kīāshahr,37.4194,49.9489,14022,17.7622854669632
+Ananindeua,-1.3658,-48.3719,540410,17.7610826242711
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+Oulad Chikh,32.8544,-7.5386,13866,17.7552579609977
+Atalaia do Norte,-4.3719,-70.1919,18133,17.7549781104523
+Vittoria,36.95,14.5333,64212,17.7544379261978
+Campo Redondo,-6.2428,-36.1828,10266,17.7533296973418
+Monterotondo,42.05,12.6167,41144,17.7527382768207
+Takahashi,34.7914,133.6164,28825,17.7494919297504
+Lakeville,44.6774,-93.252,69026,17.7487916082908
+Saugerties,42.0891,-73.9969,19082,17.7467122157456
+Vilsbiburg,48.45,12.35,12325,17.7466532718516
+Higashiōmi,35.1167,136.2,112459,17.7463902660199
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+Baláo,-2.91,-79.81,9220,17.744908316921
+Budhlāda,29.93,75.57,26172,17.7448738622161
+Higashikagawa,34.25,134.3667,28305,17.7440769442394
+Barrinha,-21.1936,-48.1639,31230,17.7432445812612
+Beauraing,50.1092,4.9567,9160,17.743227604195
+Kārempūdi,16.4333,79.7167,14385,17.7429672744717
+Ahmetli,38.5289,27.9447,16530,17.7395860571883
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+Neunkirchen,49.35,7.1667,46469,17.7353653839534
+Jabera,23.5582,79.678,8746,17.7351020315394
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+Tsaramasoandro,-17.9833,47.2,9747,17.7278221637991
+Pullalacheruvu,16.1584,79.4321,8861,17.7250444254046
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+Utrera,37.183,-5.767,51402,17.7177597485153
+Acapetahua,15.2333,-92.7667,26899,17.7176598581389
+Tagapul-an,12.05,124.15,8805,17.7173910538453
+Conil de la Frontera,36.2667,-6.0833,23497,17.7168624847037
+Satsuma,31.9057,130.4556,20093,17.7167069642988
+Bāsmenj,37.9964,46.4717,12692,17.7161327991653
+Nong Wua So,17.2702,102.5985,9816,17.7156351733891
+Beruniy,41.6833,60.75,50700,17.7148063205488
+Katlehong,-26.3333,28.15,467890,17.7144346102529
+Spring,30.0613,-95.383,62569,17.7142669886456
+Aquitania,5.5833,-72.8333,16087,17.7137381480028
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+Caldono,2.8,-76.5333,34132,17.7105964713165
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+Jindayris,36.3947,36.6889,13661,17.7084095858914
+Haarlem,52.3833,4.6333,162902,17.7073733450312
+Māhta,31.6647,75.2509,11617,17.7070644507001
+Kungälv,57.8667,11.9667,22768,17.7022958332531
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+Gurgaon,28.456,77.029,876824,17.7001193076467
+Zalishchyky,48.6392,25.7374,9021,17.6986050351019
+Chợ Lách,10.2647,106.13,11836,17.6982056530698
+Piraquara,-25.4419,-49.0628,93207,17.6970460566841
+Sayō,35.0042,134.3558,15508,17.6945215049295
+Subiaco,41.9333,13.1,8916,17.6941905638218
+Uki,32.645,130.6864,57096,17.6935324982713
+Balderton,53.0549,-0.7727,9757,17.6926342416056
+Strzelce Opolskie,50.5,18.2833,17512,17.69235091515
+DeSoto,32.5992,-96.8633,55761,17.6919046145595
+Nowa Dęba,50.4333,21.7667,10647,17.6912457011052
+Monte Aprazível,-20.7728,-49.7139,23857,17.6887821332462
+Gurmatkāl,16.8677,77.3909,22338,17.6869214061461
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+Falkensee,52.5583,13.0917,44280,17.6833945454196
+Ruma,45,19.8333,54339,17.6828135813175
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+Nova Vodolaha,49.7197,35.8772,10881,17.6801176408544
+Oderzo,45.7808,12.4928,20466,17.6797366619631
+Pop,40.8736,71.1089,30000,17.6793881281739
+Bichkunda,18.4,77.7167,13213,17.6766587018553
+Pike Road,32.2939,-86.09,9193,17.6765327379296
+Asenovgrad,42.0167,24.8667,65962,17.6762852987877
+Kamienna Góra,50.7833,16.0333,17998,17.6756451383433
+Rakai,-0.71,31.405,8500,17.6709538281607
+Albox,37.3833,-2.1333,12087,17.6709080417659
+Bueno Brandão,-22.4408,-46.3508,10892,17.6671172304745
+Tobias Fornier,10.5178,121.945,33816,17.6661623451906
+Susaki,33.3925,133.2931,20424,17.6661196437882
+Tienen,50.8,4.9333,34675,17.6643415174887
+Mayen,50.3333,7.2167,19335,17.6638277724511
+Kitzingen,49.7333,10.1667,22429,17.6637054898598
+Brooklyn Park,45.1112,-93.3505,85247,17.6623152486473
+Tālavādi,11.778,77.0055,9581,17.660857375124
+Koskāpur,26.0216,87.2279,19930,17.6576519154837
+Bhadrāvati,13.8485,75.705,212073,17.6570885980376
+Arbaa Sahel,29.5993,-9.877,10705,17.6569091283833
+Horizontina,-27.6258,-54.3078,19232,17.65606181961
+São José de Mipibu,-6.075,-35.2378,39776,17.6537857196813
+Macclesfield,53.25,-2.13,56581,17.6492394248516
+Guledagudda,16.0502,75.79,44868,17.6486440920218
+Nova Crnja,45.6667,20.6,1491,17.6478797314626
+Coronel Freitas,-26.9089,-52.7028,9940,17.6475014897614
+Colina,-20.7136,-48.5411,18535,17.644375038911
+Piên,-26.0978,-49.4289,11236,17.6440882451689
+Villa Elisa,-32.1667,-58.4,10266,17.6432161784619
+Aşağı Ayıblı,40.9368,45.8258,10797,17.6430922893044
+Manuel Tames,20.1803,-75.0514,21237,17.6415412464321
+Sandy,45.3988,-122.2697,12383,17.6385627778385
+Mulgund,15.2807,75.5213,23889,17.6380332646809
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+Linstead,18.1368,-77.0317,22757,17.6362529241351
+Eichstätt,48.8919,11.1839,13525,17.6355700920461
+Cabreúva,-23.3075,-47.1331,46528,17.6350179027942
+Dajabón,19.5667,-71.71,28071,17.6331243492776
+Jerome,42.7179,-114.5159,12182,17.6322790437503
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+Ravensburg,47.7831,9.6114,50928,17.6318617873133
+Atascadero,35.4827,-120.6858,29771,17.6315231269498
+Peraiyūr,9.7341,77.79,12690,17.6308349377938
+Costa Volpino,45.8306,10.0992,9151,17.630711055531
+Spring Creek,40.745,-115.5983,15176,17.6290116901155
+Aksay,43.3725,46.445,9442,17.628202326063
+Caçapava,-23.1008,-45.7069,91162,17.6251269481942
+Simri Bakhriārpur,25.7216,86.5937,28588,17.6245646671393
+Rebouças,-25.6208,-50.6928,14176,17.6240343255117
+Calasparra,38.2306,-1.7,10163,17.6231057370077
+Markacho,24.3263,85.8346,14467,17.6224039807087
+The Villages,28.9034,-81.9887,119296,17.6223578170166
+Villa Chalcatongo de Hidalgo,16.9929,-97.5498,9066,17.6218899609797
+Quimperlé,47.8728,-3.5497,12220,17.6217177040732
+Antaritarika,-25.4,45.75,12000,17.6190760402551
+Ubaíra,-13.2678,-39.6628,20782,17.6187849963453
+Heist-op-den-Berg,51.0833,4.7167,42950,17.6180426540853
+Ciudad Benito Juárez,25.65,-100.0833,260683,17.6167247690987
+Açucena,-19.0728,-42.5458,9368,17.6121216057942
+Abī al Khaşīb,30.4411,47.9725,240300,17.6075240744543
+Huolu,38.0874,114.3159,78250,17.6027541488017
+Tremedal,-14.9758,-41.4108,18187,17.6025301902242
+Çatalpınar,40.879,37.4532,14954,17.6017313891126
+Ambohimahavelona,-23.4333,43.8833,13000,17.6005049935385
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+Goleniów,53.5636,14.8281,22553,17.5951432026871
+Kārsiyāng,26.88,88.28,42446,17.5931176735157
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+Tolosa,43.1333,-2.0833,19886,17.5885501191173
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+Ban Om Noi,13.7001,100.3241,52457,17.5826279028215
+Magsaysay,9.0167,125.1833,36803,17.5813722180164
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+Devarāpalle,17.9886,82.9811,9397,17.579288650228
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+Gorinchem,51.8306,4.9742,37410,17.5729101762803
+Oss,51.7667,5.5167,92526,17.5722223537555
+Huaiyang,37.7558,114.5364,50859,17.5714544170909
+Phelan,34.4398,-117.5248,18599,17.570191770543
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+Fokino,53.45,34.4167,12938,17.5667095825869
+Mudukulattūr,9.344,78.5138,17326,17.5627393618013
+Mahuākherāganj,29.13,78.92,12584,17.5620029441679
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+Waitakere,-36.85,174.543,208100,17.5610917858757
+Altos del Rosario,8.8,-74.1667,13669,17.5605248435599
+Idangansālai,11.6272,77.989,39118,17.5577745625359
+Bibhutpur,25.6878,85.9992,35105,17.5572749413021
+Loon,9.8,123.8,44224,17.5563598902311
+Upleta,21.73,70.28,58775,17.5541246461213
+São Gonçalo do Pará,-19.9828,-44.8589,10398,17.5528407454672
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+Vavveru,14.5594,79.8725,40776,17.5492721512821
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+Chestnuthill,40.9568,-75.4183,16723,17.5468939137844
+Alamada,7.3868,124.5534,68659,17.5466668246844
+Bad Windsheim,49.5,10.4167,12382,17.5466464985471
+Gorē,8.149,35.537,9352,17.5465525215973
+Ganthier,18.5333,-72.0667,71261,17.5452768795965
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+Mebane,36.0852,-79.2736,17192,17.5448377966826
+Żychlin,52.2453,19.6236,9021,17.5436104238333
+Litija,46.0667,14.8167,6673,17.5393058397798
+Vempatti,17.4488,79.5992,9387,17.5364003566823
+High River,50.5808,-113.8744,13584,17.5327929759326
+Thāna Bhawan,29.5833,77.4167,36669,17.5286487789352
+St. Charles,38.7954,-90.5157,70218,17.5282610476009
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+Byelaazyorsk,52.45,25.1667,11115,17.5193197245809
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+Mantenópolis,-18.8628,-41.1228,13612,17.5159332703006
+St. Peter,44.3295,-93.9658,11699,17.5140021184803
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+Ovejas,9.5,-75.1667,20846,17.5125382002738
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+Tapolca,46.8828,17.4081,15072,17.5105769689477
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+Kiáto,38.0102,22.7493,9812,17.5084145080791
+Guryongpo,35.9833,129.55,9099,17.5065280097946
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+Kedu,25.7103,106.846,27363,17.4944363911353
+Latisana,45.7833,13.1167,13478,17.4910379145512
+Cửa Lô,18.8167,105.7167,75260,17.4904743235795
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+Berriozábal,16.8003,-93.2733,51722,17.4886238035071
+Krefeld,51.3333,6.5667,227050,17.4883037502121
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+Monte Azul Paulista,-20.9072,-48.6414,19304,17.4872874040621
+Berubāri,26.3603,88.7152,41593,17.4840102385149
+Ambatomborona,-19.4,47.1167,26000,17.4837577487632
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+Garbahaarrey,3.35,42.2667,43000,17.4755633845017
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+Kyzyl-Kyya,40.2611,72.1306,51300,14.560819471121
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+Ibirá,-21.08,-49.2408,11861,14.4832731913996
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+Sered’,48.2886,17.7314,15737,14.4781821911627
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+Kodaikānal,10.23,77.48,36501,14.4326918329664
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+Mugdampalli,17.6167,77.4974,11992,13.6972276233751
+Aït Majdane,31.8514,-6.9658,17572,13.6965179999619
+Liman,38.8733,48.8139,11500,13.694715642942
+Altoona,41.6483,-93.4783,19345,13.6936589772466
+Cerrillos,-24.9,-65.4833,17634,13.6912611382919
+Kiselëvsk,54,86.65,89867,13.6910942655281
+El Monte,34.0739,-118.0291,110144,13.6909519244727
+Mulungu do Morro,-11.9658,-41.6389,12200,13.6886182203364
+Tittagudi,11.4167,79.1167,20734,13.6879530553384
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+Mangamila,-18.5667,47.8583,14640,13.6862860104829
+Büren,51.55,8.5667,21556,13.6862455421554
+Phúc Yên,21.2333,105.7,83352,13.6861533220809
+Domodedovo,55.44,37.7619,127850,13.6810208845374
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+Taromske,48.4619,34.7829,15838,13.68023306414
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+Owego,42.0881,-76.1905,18796,13.6603195961913
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+Cimerak,-7.7422,108.4244,43500,13.6525749939411
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+Gyál,47.3861,19.2192,24193,13.6362403901868
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+Qo’shko’pir,41.5333,60.35,18700,13.6263723219642
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+Ina,9.9833,2.7167,16558,13.6222416345442
+Zhengding,38.1522,114.5771,158599,13.6212533953232
+Yame,33.1994,130.5589,60196,13.6205995211621
+Unity,40.2811,-79.4236,21765,13.6205044779244
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+Mnichovo Hradiště,50.5273,14.9714,8858,13.6174434495231
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+Itajuípe,-14.6778,-39.375,21754,13.6159936839442
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+Putaendo,-32.6278,-70.7167,15361,13.6047159054294
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+Dodarasinakere,12.5083,77.02,9541,13.597629442049
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+Gonikoppal,12.183,75.9294,9592,13.5918257965911
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+Frisco,33.156,-96.8216,193140,13.5881474546327
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+Bor,37.8833,34.5667,60335,13.5414520849136
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+Ilhota,-26.9,-48.8269,12355,13.528458811758
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+Cagwait,8.9181,126.3017,21747,13.521077181004
+Ksebia,34.2933,-6.1594,27059,13.5197113368233
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+Governador Lindenberg,-19.2519,-40.4608,10869,13.5152073833439
+Mirganj,26.3638,84.364,26240,13.5147502297165
+Uničov,49.7709,17.1215,11281,13.5137592219341
+Mengjiacun,40.0186,119.7878,17822,13.5131822394283
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+Kokawa,34.2664,135.3653,58130,13.4912879603336
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+Cromer,52.931,1.302,12457,13.4304387733484
+Agbangnizoun,7.0667,1.9667,55001,13.4302676240212
+Budai,23.36,120.17,25267,13.4296858769019
+Zhudong,24.7366,121.0916,96518,13.4295951229747
+Samacá,5.5,-73.4833,20767,13.4259759537342
+Königslutter am Elm,52.25,10.8167,15786,13.4257767347473
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+Bath,51.38,-2.36,94782,13.4248269501502
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+Vohiposa,-20.9833,47.15,16000,13.418701939131
+São José dos Pinhais,-25.535,-49.2058,264210,13.4186493935685
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+Cupar,56.32,-3.01,9020,13.416452938702
+San Kamphaeng,18.75,99.1167,17857,13.4151169281834
+Bernalillo,35.3127,-106.5537,9049,13.414130162697
+Ambatolava,-23.5667,47.3,10000,13.4133287615742
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+Hialeah,25.8696,-80.3045,224362,13.4115119785501
+Karumattampatti,11.1093,77.182,34949,13.4102133810607
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+Ampasimena,-24.3667,47.1667,20000,13.4080400553975
+Itapororoca,-6.83,-35.2469,18823,13.4065959358528
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+Yanggezhuang,39.3831,118.7119,16959,13.4058956193111
+Capão do Leão,-31.7628,-52.4839,24298,13.4057921321864
+Schenectady,42.8025,-73.9275,66809,13.4049704386439
+Budrio,44.55,11.5333,18440,13.403759073871
+Elchūru,16.0813,79.9269,11070,13.4036235178059
+Mettet,50.3192,4.6569,13037,13.4028772736798
+Indalvai,18.5403,78.2248,10263,13.4028586469882
+Moe,-38.1722,146.2678,8778,13.4014478600077
+Koewarasan,5.7697,-55.2922,27713,13.4003561224411
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+Butalangu,0.8228,32.2428,3873,13.3993085584636
+Scordia,37.3,14.85,16919,13.3986676392153
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+Trajano de Morais,-22.0628,-42.0658,10289,13.3953686568599
+Tall Rif‘at,36.4733,37.0972,27086,13.3941376405398
+Fehrbellin,52.8144,12.7661,8951,13.3934956817304
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+Concepcion,8.4167,123.6,9324,13.3861810629777
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+Jackson,40.098,-74.3578,58101,13.3799216881661
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+San Isidro de Lules,-26.9333,-65.35,21088,13.3794128817193
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+Zaanstad,52.4697,4.7767,156901,13.3767523500152
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+Alabel,6.1023,125.2868,88294,13.3748534917036
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+Mezdra,43.15,23.7,21726,13.3740204600704
+Ligang,22.8011,120.507,25701,13.3735455281133
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+Ludwigsburg,48.8975,9.1922,93499,13.3732325749159
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+Brumadinho,-20.1428,-44.2,33973,13.3694845794136
+Saymayl,36.8583,42.8501,71557,13.368455272668
+Boureït,34.9833,-4.9167,25872,13.3679998900641
+Preetz,54.2367,10.2822,16005,13.3665978419663
+Welland,42.9833,-79.2333,52293,13.366367984611
+Bayog,7.8474,123.0423,34519,13.36626168878
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+Buenavista,8.9744,125.409,68892,13.3640432105283
+Bucheon,37.5,126.7833,867678,13.3636541370436
+Ban Khi Lek,19.0625,98.9396,9334,13.3621605174072
+Cholula de Rivadabia,19.0633,-98.3064,129032,13.3616955295488
+Morretes,-25.4769,-48.8339,15718,13.3614031189272
+Embu-Guaçu,-23.8322,-46.8114,67296,13.3592809159335
+Arceburgo,-21.3639,-46.94,10478,13.3541338995199
+Douar Lehgagcha,32.55,-8.7167,13748,13.3536993414266
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+Jesús Menéndez,21.1633,-76.4775,51002,13.3512955401883
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+Yacopí,5.4667,-74.3333,10887,13.347956413544
+Telpaneca,13.5319,-86.2872,19025,13.3478952956112
+Lemoore,36.2949,-119.7983,26631,13.3475044909941
+Monsefú,-6.8778,-79.8719,23561,13.3468913093916
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+Gyeongsan,35.8167,128.7333,278500,13.345656165661
+Catarama,-1.57,-79.47,12320,13.3433911973471
+Torre del Greco,40.7853,14.3953,85332,13.3427929662439
+Carutapera,-1.195,-46.02,22006,13.3421573053766
+Kanal,46.088,13.6347,1142,13.3410999511429
+Pākaur,24.63,87.85,45840,13.3406822824702
+Paidha,2.4167,30.9875,33426,13.3403016725684
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+Betania,5.75,-75.9667,9286,13.3388783493537
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+Huaiyin,33.5819,119.028,1264000,13.3345822500075
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+Okuizumo,35.1973,133.0023,11570,13.3327325757051
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+Araquari,-26.37,-48.7219,24810,13.3312274521389
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+Fenyang,37.2647,111.7775,416212,13.3307140316557
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+Irinjālakuda,10.3514,76.2178,51585,13.3205844334453
+Bánovce nad Bebravou,48.7186,18.2581,18350,13.3197344275697
+Minyar,55.0667,57.55,8768,13.3195544087091
+Vila Franca do Campo,37.7167,-25.4333,11229,13.3186181946085
+Gornja Radgona,46.6752,15.9926,3086,13.3175033045756
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+Al Ḩusaynīyah,30.8617,31.9181,30825,13.3152815987002
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+Fiľakovo,48.2683,19.8247,10654,13.3142875013355
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+Hadano,35.3667,139.2167,164292,13.3078112075728
+Hillerød,55.9333,12.3167,35357,13.306085300781
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+Qal’acha,40.1333,69.6833,21585,13.2970223016639
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+Werl,51.55,7.92,30772,13.2878748035537
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+Tirukkalikkunram,12.6067,80.0625,23677,13.2816190762687
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+Lakkireddipalle,14.1667,78.7,10303,13.2804835725963
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+Cagdianao,9.9167,125.6667,18350,13.2794098992511
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+Steinfurt,52.1475,7.3442,34645,13.2756535313477
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+Bulancak,40.9333,38.2333,66736,13.2667738566004
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+El Paso,31.8476,-106.43,794344,13.2635360832262
+Pijiño del Carmen,9.3333,-74.45,15759,13.2626805322178
+Juan de Acosta,10.8333,-75.0333,14184,13.2623573764134
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+Digora,43.1581,44.1569,10075,13.2587061315578
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+Tirodi,21.6852,79.7191,11680,13.2571717892162
+Lydney,51.7286,-2.5285,10043,13.2567602038853
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+Kanniyākumāri,8.0911,77.5417,19678,13.2535999133627
+Cambridge,43.3972,-80.3114,129920,13.2534011038239
+Ocna Mureş,46.39,23.86,13036,13.252206046084
+São Domingos do Prata,-19.865,-42.9678,17327,13.2521196459233
+Seberi,-27.4778,-53.4028,10713,13.2502292502094
+Nesārg,15.9069,74.774,8553,13.2497756106935
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+Gopālpur,19.2586,84.9052,8795,13.2399368465623
+Malkā,32.6653,35.7333,11706,13.2381366862315
+Māchalpur,24.1277,76.3167,10408,13.2370196125874
+Mārutūru,15.9862,80.1051,21434,13.2368993926689
+Panglao,9.5833,123.75,39839,13.2363136337026
+San Rafael del Norte,13.2128,-86.1108,17789,13.2329638042684
+Rivera,2.7853,-75.2589,22877,13.2320616769336
+Kartārpur,31.4427,75.4985,33207,13.2313922746672
+Nová Paka,50.4945,15.5151,9044,13.231303933297
+Chachagüí,1.3605,-77.2835,12419,13.2290468820446
+Nanfang,23.3568,115.5167,10180,13.2274253280617
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+Shangzhen,33.7116,110.2575,34481,13.2250043775825
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+Rio Piracicaba,-19.9289,-43.1739,14149,13.221076778038
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+Salmānshahr,36.7092,51.1992,9656,13.2176057972501
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+Shiling,27.3576,105.1535,23023,13.2117544445896
+Mātābhānga,26.342,89.2155,23890,13.2115057851704
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+Sarıoğlan,39.0833,35.9833,16938,13.1796436915453
+Douyu,37.9007,114.5035,49914,13.1794884655844
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+Boxmeer,51.65,5.95,29065,13.1787725498754
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+Sagopshi,43.4847,44.5881,12614,13.1705169078758
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+Pandaul,26.2517,86.0747,35113,13.1649634096325
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+Shawnee,39.0158,-94.8076,67021,13.16357589067
+Enriquillo,17.9,-71.2333,10254,13.1634659909829
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+Sandnes,58.8517,5.7361,237369,13.1571276736784
+Hafshejān,32.2269,50.7931,21352,13.1566065806751
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+San Carlos,8.8006,-75.7022,28597,13.145865925874
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+Thame,51.75,-0.97,13273,13.1416706926914
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+Jaworzno,50.2044,19.27,94305,13.0945475367543
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+Zhigulevsk,53.3997,49.4953,53407,13.0716046487985
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+Kissa,7.0333,1.7833,20016,13.0505927806437
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+Veinticinco de Diciembre,-24.7,-56.55,9147,13.0365628973611
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+Cachoeira dos Índios,-6.9269,-38.6739,10114,13.0264854904485
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+San Lorenzo,13.4217,-87.4469,43042,13.0186180402199
+São José,-27.6,-48.6167,250181,13.0184842736253
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+Diamond Springs,38.692,-120.8391,11545,13.0134953759186
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+Dan,7.3167,2.0667,10356,12.97644793942
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+Concepción Las Minas,14.5167,-89.45,12615,12.9653284467556
+Boanamary,-15.8333,46.3167,10000,12.9653284467556
+Bronte,37.7833,14.8333,18963,12.9653284467554
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+Felanitx,39.4692,3.1481,18357,12.3623521309082
+Capoterra,39.1744,8.9711,23583,12.3623425411366
+Bāsudebpur,21.8256,87.619,9129,12.3611289060908
+Kalicherla,13.8833,78.5333,8999,12.3606952504302
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+Amborompotsy,-24.6667,44.95,13000,12.3585291026634
+Icononzo,4.1833,-74.5333,10801,12.3573997485996
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+Ciudad Nezahualcóyotl,19.4081,-99.0186,1109363,12.3504605375152
+Tendō,38.3623,140.3779,61981,12.3475485710989
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+Cambé,-23.2758,-51.2778,96733,12.3454893539778
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+Eagle,43.7223,-116.3866,29665,12.3416152786281
+Sanuki,34.32,134.1794,46723,12.3408667880693
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+Alto Paraguai,-14.5139,-56.4828,10921,12.3364361066494
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+Ankarabato,-16.35,46.1833,10723,12.3336502130313
+Tut,37.7967,37.915,10161,12.3334249552678
+Temara,33.9267,-6.9122,313510,12.332874878276
+Hajdúsámson,47.6,21.7667,13407,12.3327837721682
+Himi,36.8567,136.9731,43747,12.33235157495
+Nāgambhotlapālem,15.6804,79.8151,10534,12.3308582527404
+Regenstauf,49.1236,12.1283,16343,12.3304801701074
+Nova Olinda,-7.0919,-39.6808,14256,12.3298076382384
+Ambalanjanakomby,-16.7,47.0833,10000,12.3294860357119
+Setouchi,34.6667,134.1,35624,12.3293307337221
+Saint-Louis du Nord,19.9333,-72.7167,69592,12.3285842567278
+Greenacres,26.627,-80.1371,43482,12.3268297914745
+Schotten,50.5,9.1167,10059,12.3261342467411
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+Kallūr,17.2,80.55,15807,12.3233992229891
+Kannivādi,10.3794,77.8303,13750,12.3231949900931
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+Jaggampeta,17.1833,82.05,18879,12.3223694815271
+Novi di Modena,44.8934,10.901,10107,12.3218522999328
+Nandigāma,16.7833,80.3,44359,12.3195038903684
+San Clemente,33.4499,-117.6102,64600,12.3184040814949
+Lovejoy,33.4426,-84.3177,10208,12.3156865174851
+Talipao,5.976,121.1087,100088,12.3136034759641
+Santa Fe,12.15,122,17802,12.3133319709933
+Tomar do Geru,-11.3728,-37.8408,12855,12.3132310169113
+Matlock,53.14,-1.55,15519,12.3113476634919
+Nantingcun,20.804,110.0826,82944,12.3110324828567
+Monserrat,39.3575,-0.6031,9017,12.3094126173072
+Fara in Sabina,42.2167,12.7333,13904,12.3090184689006
+Donggang,22.4667,120.4544,45984,12.3079252623492
+Struga,41.1775,20.6789,16559,12.3075893024352
+Hemāvati,14.0232,76.995,10670,12.3074251450571
+Matias Barbosa,-21.8689,-43.3189,13435,12.3074162575232
+Truro,50.26,-5.051,21555,12.3059607007792
+Santa Cruz,17.0853,120.4553,41366,12.3058437571899
+Winsen,53.3667,10.2167,35630,12.3052706134607
+Charmahīn,32.3378,51.1961,12292,12.3043192431247
+Handa,34.8919,136.9381,117544,12.301598991229
+Voyenno-Antonovka,42.8722,74.45,20182,12.3000099153506
+Ouled Rached,36.2119,4.1106,9311,12.2999618548731
+Floridia,37.0833,15.15,22694,12.2986675494613
+Pearl,32.273,-90.0918,27017,12.2986309670592
+Yoqne‘am ‘Illit,32.6594,35.11,21383,12.2978062451139
+Manalalondo,-19.25,47.1167,12995,12.2967794467458
+Zacatelco,19.2167,-98.2333,38654,12.2958692400018
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+Ramainandro,-19.3,47,15000,12.2947286682067
+Santa Ana Chiautempan,19.3167,-98.1833,46776,12.2944994940265
+Protvino,54.8833,37.2167,35807,12.2941504769864
+Doddanahalli,12.3892,76.9672,12243,12.2935539642386
+Semiluki,51.6833,39.0333,26732,12.2927875860106
+Gary,41.5905,-87.3473,69739,12.2927809374622
+Upper Grand Lagoon,30.169,-85.7407,18140,12.291220450344
+Puerto Tirol,-27.3667,-59.0667,9763,12.290860403246
+Nelas,40.5167,-7.85,14037,12.2908284873776
+Antsahalava,-19.5833,47.4667,29556,12.2908178471853
+Monroe,47.8595,-121.9851,19879,12.2877797387995
+Manandona,-20.05,47.0667,15000,12.2856832214859
+Ghagga,30.0198,76.1041,10839,12.2852553465485
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+Pantelhó,17.0067,-92.4696,8629,12.2822787523974
+Khān Bebīn,37.0372,55.0503,10878,12.2809290951025
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+Komono,35.02,136.5075,40329,12.2800890155936
+Dinslaken,51.5667,6.7333,67525,12.2794484407156
+Goito,45.25,10.6667,10222,12.2791392464056
+Limbach-Oberfrohna,50.8667,12.75,24029,12.2780457389966
+Ivato,-20.6167,47.2,22745,12.2775888496701
+Nālchiti,22.635,90.27,30803,12.275384039362
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+Dollard-des-Ormeaux,45.4833,-73.8167,49637,12.2733388937261
+Pili,13.5561,123.2756,99196,12.2729233723347
+Ebbw Vale,51.78,-3.21,18558,12.2723659453541
+Ilamatlán,20.7833,-98.45,13474,12.2723325763659
+Omegna,45.8781,8.4069,15285,12.2719178322065
+Elias Fausto,-23.0428,-47.3739,17085,12.2692909481572
+Niuchangqiao,26.6247,106.0077,27651,12.2692062033654
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+Florence,38.9899,-84.6471,31699,12.2689776009125
+Boston,7.8697,126.3761,14618,12.2673013877912
+Wertingen,48.5333,10.6667,9415,12.2670176817348
+Brājarājnagar,21.8167,83.9167,101585,12.2668897294035
+Nazaré da Mata,-7.7419,-35.2278,30796,12.266459517513
+Dayr as Sanqūrīyah,28.4833,30.65,8911,12.2647891798586
+Cruz do Espírito Santo,-7.14,-35.0858,17212,12.2645870277983
+Iguaba Grande,-22.8389,-42.2289,22851,12.2643568059134
+Saldaña,3.9347,-75.0203,14329,12.2607076659169
+Zaltbommel,51.8,5.25,29447,12.2600993400481
+Shiji,23.5607,112.963,80773,12.2593574235977
+Romano di Lombardia,45.5167,9.75,20486,12.2587807649027
+Gouveia,40.5,-7.6,14046,12.2587513744202
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+Glauchau,50.8233,12.5444,22440,12.2577221489101
+Antanankambano,-22.05,47.4833,9000,12.2562707772821
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+San José de Aerocuar,10.6027,-63.3273,11162,12.2523167899496
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+Furtwangen im Schwarzwald,48.0503,8.2092,9091,12.2482975296034
+Fleetwood,53.922,-3.012,25939,12.2470250940971
+Tigbao,7.8205,123.2277,21675,12.2464123842913
+Zaojiao,34.4727,105.7062,32260,12.2456210511431
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+Puerto Morazán,12.7669,-87.1317,13328,12.2450181651863
+Pārtibanūr,9.5855,78.4545,10232,12.244333120497
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+Olindina,-11.3669,-38.3328,28304,12.2381295119365
+Codogno,45.16,9.705,15901,12.2377350415333
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+Hurricane,37.1487,-113.3517,19501,12.2363056877367
+Sérékali,9.9186,3.0434,10818,12.2359803825807
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+Bad Dürkheim,49.4594,8.1681,18576,12.2350190453609
+Maule,-35.5333,-71.7,38270,12.2343024169835
+Corozal,18.341,-66.3124,9986,12.2342312646166
+Consuelito,18.56,-69.3,60000,12.2314419309014
+Hedensted,55.7725,9.7017,12220,12.2307715141033
+Dolneni,41.4264,21.4536,375,12.2298083702926
+Changchunpu,27.2388,105.185,38896,12.2258718134949
+San Lorenzo,-25.34,-57.52,287977,12.225862211819
+Sundarsi,23.2688,76.4399,9471,12.2240552875261
+Tiszavasvári,47.9511,21.3689,12508,12.2240045707996
+Mohelnice,49.777,16.9195,9255,12.2205041377021
+East Retford,53.3228,-0.9431,22013,12.2203844464125
+Marogong,7.6667,124.15,30118,12.21986706564
+Somerton,32.6007,-114.6994,14126,12.2194523020112
+Dassel,51.8033,9.6903,9604,12.218446237438
+McHenry,42.3387,-88.2932,27237,12.2162694992487
+Payshamba Shahri,40.0078,66.2372,32568,12.2158220167917
+Arbaoua,34.9,-5.9167,32690,12.2154324829618
+Gardner,38.8122,-94.9275,23065,12.2135826800196
+Zirə,40.3636,50.2903,11053,12.2129015427479
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+Inanantonana,-19.65,46.6167,16000,12.2102839748383
+Grünstadt,49.5692,8.1681,13840,12.2092029455725
+Purmerend,52.5,4.95,81515,12.2090091591406
+Ourtzagh,34.55,-4.9333,14381,12.2081002561257
+Bagabag,16.6044,121.2521,37985,12.2034258090662
+Sargūr,11.9997,76.3961,13108,12.2032400531022
+Wieliczka,49.9894,20.0661,26599,12.2019623932116
+Soavina Antanety,-19.8,46.7333,20000,12.1988279571887
+Bni Darkoul,35.0563,-5.0688,14779,12.1984938117739
+Bullas,38.0497,-1.6706,11627,12.1978253509442
+Khosrowshahr,37.9497,46.0508,21972,12.1977654123122
+Boiling Springs,35.045,-81.9779,10591,12.1967982963265
+Tamandaré,-8.76,-35.105,20715,12.1956132877138
+Bender,46.8333,29.4833,91882,12.1954365123111
+L’Oulja,34.2894,-4.9481,15956,12.1939600749438
+Nantou,23.9167,120.6833,101606,12.1930296539168
+Sibinal,15.1333,-92.05,27171,12.1922404482995
+Talugtug,15.7789,120.8111,25236,12.1922115778014
+Iiyama,36.8516,138.3655,19279,12.1919104274137
+Espinal,4.2,-74.8333,75828,12.1899611449481
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+Qaraçuxur,40.3967,49.9736,85900,12.1881725830023
+Rincón de la Victoria,36.7167,-4.2833,50569,12.1881024189479
+Tnine Sidi Lyamani,35.37,-5.97,10365,12.1868764676572
+Landsberg,51.5333,12.1667,15054,12.1851626581947
+Shoreline,47.7564,-122.3426,58213,12.1851549406838
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+Alagoinha,-6.95,-35.545,14284,12.1839952177546
+Vetralla,42.3106,12.0792,14020,12.1834362922582
+Nagar,24.0914,87.9888,11882,12.1831685740149
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+Cacimbinhas,-9.4,-36.99,10889,12.1814255334582
+Vicência,-7.6569,-35.3269,30732,12.1803956707555
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+Barbalha,-7.305,-39.3019,55323,12.1783810548376
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+Amarāvati,16.5131,80.5165,103000,12.1727310442972
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+Penco,-36.7333,-72.9833,47367,12.1711482008091
+Ichihara,35.4981,140.1154,268038,12.1697526111595
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+Tocancipá,4.9657,-73.9136,36439,12.1696361077571
+Qal‘eh Tall,31.6325,49.8897,10698,12.1695042803594
+Sueca,39.2026,-0.3112,27738,12.1691611090114
+Fereydūn Kenār,36.6864,52.5225,34452,12.1689803639196
+Iwate,39.9728,141.2122,12078,12.1677206067872
+Deal,51.2226,1.4006,30917,12.1669003444098
+Bermeo,43.42,-2.7264,16784,12.166022809759
+Asarganj,25.15,86.68,20000,12.1656785871602
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+Kot Shamir,30.1191,75.0058,12294,12.1648635614574
+Memuro-minami,42.9119,143.0508,18329,12.1619907254787
+Purkersdorf,48.2092,16.1792,9701,12.1617844032777
+El Rosal,4.8519,-74.2628,18958,12.1592454147823
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+Dagestanskiye Ogni,42.1167,48.1833,29716,12.1555969846444
+Dahbed,39.7636,66.9131,9000,12.1549588376086
+Reggio di Calabria,38.1144,15.65,181447,12.1541914737098
+Marratxi,39.6421,2.7527,38902,12.153452094189
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+Pauktaw,20.15,92.9,145957,12.1520206438871
+Windham,43.7981,-70.4056,18343,12.1514128913909
+Mazhang,21.2757,110.3221,107819,12.1509164594706
+Wujiaying,33.1871,107.048,24861,12.1496375648736
+Staro Nagoričane,42.2,21.83,555,12.1494907173858
+Kalafotsy,-22.2833,47.3167,11000,12.1494030962462
+Mioveni,44.9569,24.9406,31998,12.1462570249036
+Guernica y Luno,43.3167,-2.6667,17093,12.1411541044846
+Iracemápolis,-22.5808,-47.5189,22557,12.1409382377015
+Juchitepec,19.0997,-98.8792,29436,12.1403990328036
+Zargar,37.8,68.65,49235,12.1400815406151
+Qal’at Mgouna,31.2414,-6.1283,16956,12.1393561328718
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+Nocatee,30.0927,-81.4095,19601,12.1361236521846
+Dondo,-9.6942,14.4228,71715,12.1358459616222
+Land O' Lakes,28.2075,-82.4476,38674,12.1358315946905
+Narutochō-mitsuishi,34.1667,134.6167,55264,12.1353380647043
+Saidia,35.085,-2.2392,8780,12.1350872405597
+Ban Laem,13.2168,99.9767,12541,12.1346712168819
+Aqsū,52.4502,71.9597,8543,12.1344221422993
+Garrel,52.9581,8.0253,15428,12.1337844979604
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+Reus,41.1549,1.1087,106741,12.1271504801308
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+Santa Eulalia del Río,38.9847,1.5336,40548,12.1255714397971
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+Miramar Beach,30.3854,-86.3442,9059,12.123008973048
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+Lübbecke,52.3081,8.6231,25674,12.1225805920406
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+Valley Center,33.233,-117.0158,11435,12.1193251156492
+Balaoan,16.8167,120.4,40339,12.1189275650443
+Gavorrano,42.925,10.91,8567,12.118906082166
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+Ambatoria,-14.5,48.95,9000,12.1172940564145
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+Khokri Kalān,30.8456,75.3307,10600,12.1156156913091
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+Aswāpuram,17.8348,80.8236,22044,11.4102502520767
+Goose Creek,32.9927,-80.0055,44502,11.4096904977439
+Litian Gezhuang,39.8151,119.0219,41676,11.4074828181234
+Navalpattu,10.7557,78.6064,20320,11.4062598217941
+Bálsamo,-20.735,-49.5839,8773,11.4048258272962
+Chilamattūru,13.8394,77.7039,15449,11.4044962080952
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+Cam,51.7011,-2.3642,8520,11.3303071789834
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+Si Racha,13.174,100.93,23400,11.2822382753347
+Ageoshimo,35.9774,139.5932,226616,11.2818844446073
+Ipele,7.1333,5.6667,57000,11.2804639555504
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+Kuttuparamba,11.83,75.58,28907,11.2643739820628
+Peer,51.1328,5.4536,16421,11.2643087946957
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+Sāyarpuram,8.6822,78.0265,16857,11.2527825975919
+Quinta de Tilcoco,-34.3547,-70.9636,12379,11.2514456317525
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+General Enrique Mosconi,-22.6,-63.8167,13118,11.2494071759526
+Pāmban,9.279,79.2109,40822,11.2489070487066
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+Cotia,-23.6042,-46.9194,229548,11.2418318449698
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+Chennūr,14.5667,78.8,16126,10.9659575748803
+Soavimbahoaka,-18.6833,46.1,10000,10.9652877801794
+Jnane Bouih,32.0308,-8.7894,19706,10.9651295505418
+Mairena del Alcor,37.3667,-5.7333,23938,10.9637477360967
+Horsham,51.062,-0.325,50934,10.9630043565256
+Hesarghatta,13.1391,77.4783,9485,10.9610572580689
+Junín,4.7903,-73.8136,8720,10.9607718951495
+Engerwitzdorf,48.3397,14.4256,8790,10.9606482029204
+Chhāgalnāiya,23.0395,91.5146,48243,10.9605893726356
+Nerubaiske,46.5467,30.6306,8558,10.9605662931479
+Burke,38.7773,-77.2633,44191,10.9602958326921
+Polatsk,55.4833,28.8,82547,10.9600703318452
+Texistepec,17.9,-94.8167,20887,10.9583601340895
+Diriomo,11.8753,-86.0519,22352,10.9569090071174
+Greece,43.246,-77.6988,96839,10.9563674380951
+Arohi,23.427,88.6056,12794,10.955007923455
+Civitella in Val di Chiana,43.4167,11.7167,9035,10.9547892084656
+Antsahavaribe,-13.85,49.8667,9000,10.9543541244964
+Liantangcun,22.9517,112.4597,58429,10.9539186047958
+Oosterend,53.0036,6.0664,29812,10.9519194745854
+Celano,42.0864,13.5575,10885,10.9516631030631
+La Guaira,10.6,-66.9331,203520,10.951601842088
+Burglengenfeld,49.2,12.0333,14086,10.949290577336
+Joünié,33.9697,35.6156,102221,10.9483523654056
+Tramore,52.1588,-7.1463,10381,10.9481650808779
+Irupi,-20.345,-41.6408,11723,10.9474397435199
+St. Charles,41.9193,-88.3109,32908,10.947434643581
+San Giuseppe Iato,37.9667,13.1833,8634,10.9472355785165
+Kin,26.4562,127.926,11252,10.9471584000868
+Barili,10.1167,123.5333,80715,10.9466070167206
+Ralla,30.12,75.432,9311,10.9453289277537
+Westerlo,51.0833,4.9167,24884,10.9451416234242
+Cambados,42.5,-8.8,13673,10.9442753156536
+Madagh,35.0133,-2.3397,14486,10.9439918361646
+Partinico,38.05,13.1167,31786,10.9436999317783
+Zülpich,50.7,6.65,20597,10.9435713303457
+Challapalle,16.1175,80.9314,17067,10.9428709258183
+Tilvalli,14.6268,75.231,8750,10.9410767785635
+Pomichna,48.25,31.4167,8994,10.9407542243005
+’Aïn Roua,36.3344,5.1806,11499,10.9401999329855
+Soasio,0.6833,127.4,103171,10.9392563481138
+Lepākshi,13.8032,77.6097,10042,10.9388095473984
+Avanos,38.715,34.8467,32618,10.9380676946249
+Rabot,38.6167,68.1833,13053,10.9371494326232
+Mitsuke,37.5316,138.9127,39024,10.9369978903737
+Maydolong,11.5,125.5,15314,10.9351253747322
+Chiroqchi,39.0336,66.5739,13220,10.9347694819273
+Markranstädt,51.3017,12.2211,16121,10.9347315607471
+Rātu,23.4204,85.2146,21196,10.9328974689862
+Neptune,40.2105,-74.0539,28083,10.9310731558761
+Pondalūru,14.2535,79.2408,9678,10.9304330068712
+Wargal,17.7751,78.6181,11814,10.9298960295464
+Natori-shi,38.1715,140.8918,79250,10.9291622040079
+Zumpango,19.7969,-99.0992,50742,10.9286288849049
+Tunapuna,10.6333,-61.3833,17650,10.9285517093023
+Runcorn,53.3419,-2.7336,61789,10.9264290089344
+Someren,51.3833,5.7167,19428,10.9250922588001
+Soyaniquilpan,19.9892,-99.4361,13290,10.9239723868743
+Shōranūr,10.77,76.28,42022,10.9236252957986
+Chhājli,30.0348,75.828,15335,10.9232037579533
+Rainbow City,33.9336,-86.0922,10093,10.923171545167
+Rohnert Park,38.3479,-122.6965,44420,10.9222143332478
+Ban Ko,13.6486,100.0063,10561,10.9215820551901
+Miamisburg,39.6322,-84.2724,19878,10.9202590002832
+Chieri,45.0139,7.8224,36958,10.9198050606934
+Farmersville,36.305,-119.2083,10441,10.9192442020283
+Lālgudi,10.87,78.83,23740,10.9174939607515
+Nanzhuangzhen,23.721,102.8231,46696,10.9160200159669
+Kantilo,20.3615,85.1921,11530,10.915802364158
+Anapoima,4.5503,-74.5361,14519,10.9150718004044
+Silver Spring,39.0028,-77.0207,82472,10.9148556318133
+Asingan,16.0023,120.6695,57811,10.9142931496715
+Venezuela,21.7511,-78.7792,28470,10.9132382197023
+Ban Non Sombun,18.2983,103.6528,9903,10.9128166205397
+Ribeiro do Amparo,-11.0469,-38.4328,15269,10.9126956610288
+Monsummano,43.8667,10.8167,21141,10.9104245589173
+L’Ancienne-Lorette,46.8,-71.35,16745,10.909810149323
+Nārāyanraopet,18.2114,78.7794,9486,10.9084153889145
+Bad Sooden-Allendorf,51.2833,9.9833,8675,10.9078793138162
+Pontneddfechan,51.7554,-3.5878,34000,10.9055829223873
+Richmond,-41.3333,173.1833,15000,10.9049275007382
+Oulad Cherif,31.7667,-7.7833,9237,10.904914378253
+Guilderland,42.708,-73.9631,36862,10.9025089626901
+Erraguntla,14.6333,78.5333,32574,10.9015639673978
+Jardín,5.5986,-75.8194,13748,10.9013674424987
+Gaurihar Khāliqnagar,25.9356,85.4671,11481,10.9012695716734
+Sanjiang,24.7265,112.2884,39398,10.8994338657197
+Nāmagiripettai,11.47,78.27,21250,10.8974247669327
+Springfield,44.0538,-122.9811,62138,10.8959246426964
+Machados,-7.6858,-35.515,13596,10.8949996041783
+Maco,7.3619,125.8553,83237,10.8934619271185
+Musāpur,25.6417,87.4154,15210,10.8921882081327
+Vreden,52.0333,6.8333,22758,10.8884781832866
+Pontiac,42.6493,-83.2878,61498,10.8854881116958
+Vaikam,9.7667,76.4,22637,10.8851310039142
+Wildwood,28.7752,-82.0075,14747,10.8845737651045
+Lanuza,9.2322,126.0592,13642,10.8844693448218
+Ridgefield,41.3065,-73.5023,25053,10.8837919138279
+Hessisch Oldendorf,52.1667,9.25,18228,10.8836146430447
+San Manuel,15.3333,-87.9167,53083,10.8818011427926
+Silistra,44.1172,27.2606,43265,10.8812558797433
+Shishi,24.7355,118.6434,693000,10.8811025458835
+Kalkar,51.7389,6.2925,13953,10.8797780191691
+Bad Oeynhausen,52.2,8.8,48803,10.8792570374354
+Batobato,6.8361,126.0889,33664,10.8785305355626
+Sidi Abdelkader,33.0494,-8.6886,20854,10.8784057021985
+Artémida,37.9667,24,21488,10.8775278784906
+Łęczyca,52.05,19.2,15593,10.8766692266204
+Paralímni,35.0333,33.9833,14963,10.8765833239781
+Carini,38.1333,13.1833,38936,10.8759817077185
+Varzedo,-12.9708,-39.3939,9363,10.8757766250272
+Barneveld,52.1333,5.5833,59992,10.8746845099398
+Nīdāmangalam,10.772,79.4167,11523,10.8732906399769
+Kīrippatti,11.5357,78.4897,12096,10.8729616949887
+White Oak,39.2106,-84.606,19123,10.8707590979076
+Green Valley,31.8393,-111.0009,20729,10.870752160984
+Ocampo,13.5594,123.3761,51073,10.8698818095384
+Ajacuba,20.0833,-99.1167,18872,10.8697931163569
+Junqueirópolis,-21.5147,-51.4336,20831,10.869733558989
+Grandview,46.2443,-119.9092,10894,10.8694603676222
+Bārīgarh,25.2325,80.0347,11324,10.8692199018812
+Zapotitlán,14.1674,-89.9096,10573,10.8687200441631
+Capellen,49.6444,5.9897,1986,10.8683977239057
+Olpe,51.0167,7.8333,24688,10.8666204239965
+Nagcarlan,14.1364,121.4165,64866,10.8666148337227
+Mihara,34.4,133.0833,89972,10.8658245752173
+Betulia,6.1122,-75.9839,17317,10.861474482434
+Innisfil,44.3,-79.5833,36566,10.8591838348306
+Paterno,37.5667,14.9,47827,10.8533398392995
+Uckfield,50.97,0.1,14493,10.8520981397886
+Samashki,43.2906,45.3014,12738,10.8520432931631
+Manassas,38.7479,-77.4838,42596,10.8515615935395
+Chichli,22.8336,78.8261,12210,10.8509857973482
+Schwechat,48.1411,16.4786,18026,10.8504639492246
+Bradford West Gwillimbury,44.1333,-79.6333,35325,10.8501181417191
+Lago Vista,30.4519,-97.9908,8769,10.8497144387515
+Kempen,51.3658,6.4194,34597,10.8493566764289
+Saint-Chamond,45.4775,4.5153,34979,10.8493205384749
+Iernut,46.4536,24.2333,8705,10.8471942468736
+Oldebroek,52.45,5.9,23760,10.8465282404257
+Bernalda,40.4167,16.6833,12453,10.8462127993749
+Čepin,45.5167,18.5667,9500,10.8460742913775
+Shoufeng,23.8667,121.5167,17119,10.8454764619957
+San Casciano in Val di Pesa,43.6569,11.1858,17171,10.8453666421379
+Guaíra,-24.08,-54.2558,30704,10.8448778270165
+Toyloq Qishlog’i,39.6014,67.0908,13700,10.843617953595
+Yaita,36.8067,139.9241,31145,10.8436125367891
+Jingcheng,32.0058,120.2547,684360,10.8432404040845
+Vargem Grande Paulista,-23.6028,-47.0258,48720,10.8424439233784
+Hirson,49.9217,4.0839,8800,10.842288044249
+Ocean City,39.2681,-74.602,11211,10.8413856080898
+Groaíras,-3.9128,-40.3828,10228,10.8413148030972
+Haddington,55.956,-2.781,9130,10.840037979934
+Baco,13.3584,121.0977,39817,10.8388596435949
+Randfontein,-26.1797,27.7042,80492,10.8380265347122
+New Haven,41.0676,-85.0174,15922,10.8375953619281
+Ganeshpur,25.7678,87.3587,16175,10.83754590406
+Santa María Petapa,16.8167,-95.1167,16518,10.8365177012271
+Kotabommāli,18.5333,84.1667,8941,10.8351824067597
+Sirigeri,15.63,76.9,13361,10.8333391171262
+Callao,-12.0333,-77.1333,1129854,10.8326691874209
+Port Hope,43.95,-78.3,16753,10.8301255273945
+Ilkeston,52.971,-1.309,38640,10.8297514774234
+Pilar,9.8639,126.1008,10374,10.827631156205
+Porirua,-41.1333,174.85,55218,10.8243132442382
+Santa Ana,30.5406,-111.1205,12372,10.8237706503529
+Arumanallūr,8.3167,77.4167,12144,10.8232292145622
+Lower Macungie,40.5303,-75.57,32261,10.8223168161313
+Chesham,51.712,-0.612,21483,10.8209354470931
+Port St. John,28.4757,-80.8104,24677,10.8208989278409
+Alcarraz,41.5638,0.5241,9678,10.8200747302204
+Manzanares el Real,40.7272,-3.8611,9247,10.8185302539397
+Nahorkatiya,27.2891,95.3418,20490,10.8169384502341
+Son Servera,39.6208,3.36,11835,10.8133324855031
+Pozzuoli,40.8231,14.1222,81141,10.8125163049529
+Santa Rita,-7.1139,-34.9778,134940,10.8123729683345
+Porto Tolle,44.95,12.3167,9663,10.8104077572726
+Vardhamānkota,17.3775,79.441,9548,10.8095348041794
+Douar Imoukkane,35.0298,-4.8125,23132,10.8074763147
+Banovići,44.4,18.5333,22773,10.8071557118211
+Büdingen,50.2908,9.1125,22831,10.8071054104999
+Saint-Jean-d’Illac,44.8097,-0.7836,8980,10.8065657669526
+Renigunta,13.65,79.52,26031,10.8054273025433
+Hirschaid,49.8167,10.9833,12458,10.8053990213594
+Harborcreek,42.1498,-79.9501,16665,10.8053165356353
+Mislinja,46.4431,15.1931,1862,10.8045886071926
+Pātiram,25.3167,88.75,12462,10.7994658089302
+Aizubange,37.5615,139.8216,14906,10.7987676829316
+Chandera,25.0829,78.9784,10414,10.7974986174675
+Chatteris,52.456,0.055,11011,10.7970836065711
+Fotsialanana,-16.9333,49.4833,11000,10.7968230722487
+Casinhas,-7.7411,-35.7211,13766,10.7960070930058
+Bühl,48.6953,8.135,28889,10.795986922914
+Neath,51.66,-3.81,50658,10.7946605138654
+Sobrāon,31.1833,74.85,13720,10.7945053268312
+Kingston,-42.9769,147.3083,10409,10.794048409151
+Dajiecun,36.2965,115.2071,37290,10.7934365411709
+San Bartolomé Jocotenango,15.1928,-91.0775,15777,10.7924343598986
+Beaverton,45.4779,-122.8168,97466,10.7922365695605
+Mudhol,15.6406,75.9531,9200,10.7904851626611
+Parang,5.9167,120.9167,71495,10.7875989465306
+Pleasanton,37.6663,-121.8805,79558,10.7869435415222
+Sevenoaks,51.2781,0.1874,29506,10.7860302260094
+Waiblingen,48.8303,9.3169,55526,10.7859178390124
+Motobu,26.6575,127.8978,13073,10.7842027103733
+Entrerríos,6.5667,-75.5167,8820,10.7840620776697
+Bishops Stortford,51.872,0.1725,38202,10.7838714469399
+Atami,35.096,139.0716,35276,10.7830733972784
+Tōon,33.7833,132.8667,34195,10.7830479115716
+Visbek,52.8333,8.3167,10047,10.7826861910688
+Matanzas,18.2428,-70.4192,35414,10.7823559030171
+Vushtrri,42.8222,20.9694,69870,10.7817566210566
+Akabira,43.5581,142.0442,9644,10.7817204351452
+Beldaur,25.5947,86.7909,19737,10.7813293326775
+Schwabmünchen,48.1789,10.755,14553,10.7799469729453
+Ungutūru,16.823,81.4238,14280,10.7792043853803
+Lebanon,39.4254,-84.2133,20770,10.77836213859
+San Pelayo,8.9667,-75.85,45396,10.7781027070483
+Barrington,43.2139,-71.0424,9270,10.7774534890482
+Arayat,15.1493,120.7692,144875,10.7760273728089
+Skopun,61.9125,-6.8719,446,10.7758020338003
+Cabañas,14.9333,-89.8,14817,10.7745850841421
+Burladingen,48.2903,9.1094,12169,10.7737331438487
+Lipkovo,42.1553,21.5875,0,10.7732128088546
+Hwlffordd,51.8,-4.97,12042,10.7731373094294
+Ishikawa,37.1571,140.4468,14222,10.7724332543243
+Solosuchiapa,17.4,-93,8561,10.7714565338259
+Saijō,33.9167,133.1833,103760,10.7706862811933
+Higashikagura,43.6966,142.4515,10152,10.7706782157024
+Marg‘ilon,40.4711,71.7247,215400,10.769257561628
+La Libertad,10.0333,123.2167,41089,10.7687289286837
+Asthānwān,25.2215,85.6262,15486,10.7685585379752
+Amesbury,51.173,-1.78,10724,10.7681879331064
+Cotorra,9.05,-75.8,16215,10.7678939037447
+Candelaria de La Frontera,14.1167,-89.65,22686,10.7676084185162
+Waregem,50.8811,3.4001,38347,10.7670164730924
+Manjuyod,9.6833,123.15,44799,10.7666127744033
+Matalom,10.2833,124.8,32586,10.76654585562
+Perleberg,53.0667,11.8667,12035,10.7656986141333
+Kamargani,22.5475,88.6606,9555,10.7648538516784
+Bad Gandersheim,51.8719,10.0253,9823,10.7629367302619
+Tutzing,47.9089,11.2814,9933,10.7628977867448
+Tixtla de Guerrero,17.5667,-99.4,21720,10.7628418757333
+Kırkağaç,39.1039,27.67,39790,10.7628052141349
+Crowborough,51.06,0.16,20607,10.762524598777
+Cardoso Moreira,-21.4878,-41.6158,12600,10.7586413276564
+Alwaye,10.1167,76.35,24110,10.7584319548058
+Calubian,11.4467,124.4278,31646,10.7576533402963
+La Serena,-29.9,-71.25,195382,10.7565981065745
+Granby,41.9694,-72.8346,10971,10.7561159133399
+Hoogezand,53.1572,6.7533,21830,10.7556367455105
+Cacimba de Dentro,-6.6419,-35.79,17149,10.7554047348947
+Staffanstorp,55.6333,13.2,14808,10.7540459682549
+Foum Jam’a,31.96,-6.98,9873,10.7539804381701
+Sung Noen,14.8965,101.8167,10061,10.7527442491951
+Surčin,44.8,20.2833,43819,10.7526347131815
+Tampakan,6.45,124.9333,41018,10.7524100790539
+Herseh Chhīna,31.7453,74.783,8673,10.7521852261844
+Teruel,2.75,-75.5667,8876,10.7506892929218
+Tumba,59.2,17.8167,37852,10.7490436812407
+Frei Paulo,-10.5489,-37.5339,13874,10.7489105401126
+Karpi,25.1612,84.7299,13607,10.7478466662718
+Witham,51.7978,0.6373,25542,10.7472870933455
+Serravalle,43.9694,12.4784,10878,10.7463939979899
+Cogolin,43.2525,6.53,11556,10.7462172270401
+Bādkulla,23.28,88.53,18051,10.7462131930661
+San Juan Guichicovi,16.9667,-95.0833,27646,10.7461198680732
+Floridablanca,14.9333,120.5,135542,10.7439480760899
+Belchertown,42.2788,-72.4004,15228,10.7437571339353
+Neman,55.0333,22.0333,10931,10.7437174321496
+Borovsk,55.2,36.5,10966,10.7427829965906
+Taquarana,-9.645,-36.4969,20072,10.74211985507
+Solothurn,47.2167,7.5333,16777,10.7416271265219
+Kondrukota,17.1717,81.8317,9228,10.7408443439033
+Sarnia,42.9994,-82.3089,71594,10.73911954797
+Lindenberg im Allgäu,47.6,9.9,11585,10.7388205037898
+Ţālkhvoncheh,32.2631,51.5622,9924,10.7379764684706
+Key Biscayne,25.6908,-80.1653,14530,10.7372200168164
+Monte Cristo,-31.3431,-63.9444,9254,10.7369982174904
+Baldeogarh,24.7562,79.0672,10033,10.7368231536747
+Upperu,16.65,77.5167,12562,10.736714137439
+Novelda,38.385,-0.768,25611,10.7363020938204
+Chaukhata,25.0247,81.7375,12018,10.7355562281657
+Silverdale,47.6663,-122.6828,21301,10.7340405941835
+Hunduan,16.8333,121,8866,10.7331966579337
+St. Clair Shores,42.4925,-82.8961,59046,10.7330536560238
+Islamabad,33.6931,73.0639,1014825,10.7327674709899
+Teghra English,25.4072,87.741,19452,10.7326821044643
+Vittorio Veneto,45.9833,12.3,28389,10.7321940564571
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+Hongfengcun,21.9231,111.9329,40985,8.11102783157291
+Correggio,44.7703,10.7822,25664,8.10993116625777
+Kawaguchi,35.8077,139.7241,593353,8.10921368455135
+Antsaravibe,-13.05,49.0167,10648,8.10864179364646
+Matou,39.5503,116.1063,34281,8.10853990527267
+Troy,38.7268,-89.8977,10858,8.10824186675464
+Bückeburg,52.2608,9.0492,19336,8.10814883532021
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+Milton,34.1353,-84.3139,40487,8.10619559632949
+Kösching,48.8167,11.5,9705,8.10615645178174
+Holiday City-Berkeley,39.9639,-74.2787,12889,8.10613494823981
+Arruda dos Vinhos,38.9833,-9.0667,13391,8.10556873958176
+Freetown,41.7714,-71.0157,9165,8.1054919253269
+Canelinha,-27.265,-48.7678,10603,8.10506559756879
+Sorso,40.7983,8.5772,14826,8.10460387345746
+Chuarrancho,14.8167,-90.5167,17057,8.10428538388669
+Pikine,14.75,-17.4,1170791,8.10419215251586
+Manlleu,42,2.2836,20883,8.10207622742932
+Bentonville,36.3547,-94.2305,52565,8.10185543876509
+Engels,51.5017,46.1222,264990,8.10159452705265
+Gwacheon,37.4333,127,64817,8.10049343069265
+Dacheng,23.8483,120.3089,15425,8.1000955044136
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+Burbach,50.7444,8.0861,14924,8.09857472960851
+Chinnālapatti,10.2875,77.912,30823,8.09810475894273
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+Moḩammad Shahr,35.7483,50.9025,119418,8.0955361036247
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+Guadarrama,40.6728,-4.0889,16921,8.09466210272947
+McKee City,39.4465,-74.6445,8644,8.0944165819353
+Divača,45.682,13.9702,1734,8.0936747936215
+Ryūgasaki,35.9116,140.1823,76055,8.0933303602074
+Altenholz,54.4,10.1333,10024,8.09315374683829
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+Boyarka,50.3292,30.2886,35411,8.09155254950685
+McLean,38.9436,-77.1943,49310,8.09136566644746
+Kaleyānpur,26.4297,84.9327,13704,8.09123678547137
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+Kyaliwajjala,0.38,32.6467,50000,8.09082003036844
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+Dharmastala,12.9479,75.3807,12220,8.08792627926197
+Dondon,19.5333,-72.2333,25846,8.08732533972888
+Fruitville,27.3328,-82.4616,14673,8.08693032989497
+Eastleigh,50.9667,-1.35,78716,8.08621486363363
+Jeffersontown,38.2049,-85.5701,28800,8.08548334021298
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+Bonnyrigg,55.8747,-3.1031,17530,8.08496428336742
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+Zuhres,48.0181,38.2563,18024,8.08385891261168
+Pickerington,39.889,-82.7678,22682,8.0836917496015
+Zinacantepec,19.2833,-99.7333,136167,8.0834510074462
+Kishmat Dhanbāri,24.6167,90.025,36125,8.08245390582726
+Hājan,34.2989,74.6168,13163,8.08169941836054
+Kirchzarten,47.9667,7.95,10030,8.08102635587405
+Du Yar,15.2617,97.7819,30000,8.08035564509731
+Bourne,41.7233,-70.5816,20364,8.08017594113725
+Chai Prakan,19.7322,99.1403,16090,8.08005233767213
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+Matthews,35.1195,-80.7101,29417,8.07975942086959
+Tsubame,37.6731,138.8822,76590,8.07920716646969
+Namakadu,14.006,80.1194,9885,8.07905227102746
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+Niterói,-22.8833,-43.1036,496696,8.07861688015175
+Santa Ignacia,15.6167,120.4333,51626,8.07855465468937
+Yorba Linda,33.889,-117.7714,68319,8.07700433341278
+Suaza,1.9833,-75.8167,21119,8.07585259146416
+Anao-aon,9.7778,125.4231,15347,8.07544748399199
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+Ugo,39.1993,140.4129,13547,8.07164804868478
+Badia Polesine,45.1,11.5,10348,8.07128169548308
+Titara,26.2311,84.2444,12421,8.07017149858537
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+Glencoe,-28.1833,30.15,17548,8.06843375678973
+Umburetama,-7.6958,-35.6639,9889,8.06827250924003
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+Dāla,30.7773,75.2494,8558,8.06588458016966
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+Cupira,-8.6169,-35.95,23390,8.0586528154278
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+Harwich,41.6957,-70.0684,13329,8.05833556276322
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+Sale,53.424,-2.322,134022,7.9838826334052
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+La Mornaghia,36.7667,10.0167,19924,7.97706202862891
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+Kukkundūr,13.2404,74.9541,15536,5.29536105535372
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+Castel San Giorgio,40.7833,14.7,13784,5.1845100313592
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+Dongshan,24.6319,121.7539,52894,5.15185749743544
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+Hückeswagen,51.145,7.3417,15060,5.14318471875733
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+Mirdaul,26.2363,87.0971,12951,5.1290831675518
+Steinau an der Straße,50.3167,9.4667,10275,5.12887179466453
+Anosivelo,-22.7333,47.7667,17000,5.12782989252008
+Sopište,41.95,21.4333,690,5.12779234319844
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+Kīlrājakularāman,9.3969,77.6344,10755,5.12496310684752
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+Tracunhaém,-7.805,-35.24,13055,5.12359531797112
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+Ashiya,33.8938,130.6639,13559,5.11998801384959
+Wheeling,42.1308,-87.924,39104,5.11964175161952
+Mountain View,37.4001,-122.0796,82409,5.11949172169207
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+Nīlambūr,11.059,77.0838,19096,5.11766930243028
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+Écaussinnes-Lalaing,50.5667,4.1833,11135,5.11594500723454
+Six-Fours-les-Plages,43.1009,5.82,34592,5.11593266328985
+Tublay,16.4764,120.6333,19429,5.11584437791058
+West Boldon,54.945,-1.441,13271,5.11534618629143
+Begampur,22.3705,88.494,12742,5.11496662564963
+Olivehurst,39.0795,-121.5566,16262,5.11469607937953
+Mainaschaff,49.9833,9.0833,8936,5.11453855579779
+Handewitt,54.7667,9.3167,11250,5.11443818316466
+Mattigiri,12.698,77.8083,20139,5.11424117692833
+Solano,16.5183,121.1811,65287,5.11276991867964
+Berlare,51.025,4.0025,14849,5.11236836868599
+Orange,33.8038,-117.8218,139195,5.11225721509884
+Nellutla,17.7034,79.1956,8842,5.11175505040982
+Makati City,14.5567,121.0214,629616,5.11170973765362
+Ripley,53.05,-1.407,20807,5.11093116982021
+Middle Island,40.8857,-72.9454,11129,5.11067428151665
+Glanmire,51.9167,-8.4,8924,5.11028439397183
+Avon,41.4485,-82.0187,24542,5.10917589874448
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+Bangar,16.9,120.4167,38041,5.10843803621927
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+Bois-des-Filion,45.6667,-73.75,9485,5.1072280829838
+Méry-sur-Oise,49.0636,2.1864,9900,5.10720720585608
+Hājīpur,25.2657,87.5019,10030,5.10710475309877
+Hekinan,34.8847,136.9934,72480,5.10704080163215
+Aurora,16.9918,121.6357,36621,5.10649730019749
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+Joué-lés-Tours,47.3514,0.6625,38444,5.10504537460365
+Korangal,17.107,77.627,14294,5.10458717476015
+Jhundo,24.7756,86.2473,10760,5.1045117723223
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+Clarksville,38.322,-85.7673,22169,5.10341868676398
+Pijnacker,52.0167,4.4333,27130,5.10154629625541
+Roh,24.8905,85.675,14467,5.10117987175383
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+Stăuceni,47.0875,28.8703,8694,5.10000967004154
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+Gaoping,30.7824,106.1281,2174000,5.09765740375244
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+Shenjiatun,40.7695,114.8549,42338,5.09457889287501
+Aldridge,52.606,-1.9179,26988,5.09450567088652
+San Esteban,-32.7992,-70.5803,17090,5.09391846522887
+Sirsia Hanumānganj,26.1381,87.1133,11835,5.09364681900476
+Ponsacco,43.6167,10.6333,15539,5.09288658055839
+Gorodets,56.65,43.4833,30188,5.09209803431145
+Campobello di Licata,37.25,13.9167,9860,5.09104697294541
+San Fernando de Henares,40.4256,-3.5353,39313,5.09089103632564
+Gitagum,8.5956,124.4054,17920,5.09083234563442
+Zele,51.0667,4.0333,20976,5.0900611065316
+Dessel,51.2333,5.1167,9605,5.089534383207
+Kobilje,46.6837,16.3953,542,5.08935738111198
+Altenstadt,50.2856,8.945,12437,5.08919127475869
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+El Mirage,33.5905,-112.3271,35410,5.08740764320606
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+Barki Ballia,25.4223,86.2758,25020,5.08703290776362
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+Medway,42.1535,-71.4291,13105,5.08646857643973
+Quartier Morin,19.7,-72.15,19241,5.085849410909
+Jefferson Valley-Yorktown,41.318,-73.8008,14168,5.08577877698284
+Phulgāchhi,26.3273,88.2792,11113,5.08411333269025
+Vylgort,61.6275,50.7672,12171,5.08252877858361
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+Daganzo de Arriba,40.5433,-3.4572,10650,5.0823211765672
+Bishopbriggs,55.9046,-4.225,23540,5.0820718819099
+Ponta do Sol,32.6806,-17.1042,8862,5.08148994227464
+Dover,40.8859,-74.5597,18418,5.08115496825894
+Tillaivilāgam,10.4127,79.5547,8801,5.0808395323826
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+Ban Bang Khu Wat,13.9576,100.4903,28349,5.07979241350353
+Murādpur,25.8,86.0055,22714,5.07944352418307
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+Alto Hospicio,-20.25,-70.1167,108375,5.07754005860568
+Fiadanana,-20.3333,47.4333,14000,5.07626379712729
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+Johnstone,55.8346,-4.5027,16090,5.06975283663953
+Commune Sidi Youssef Ben Ahmed,33.7861,-4.8152,11292,5.06936238322518
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+Haaltert,50.9,4,18443,5.06832861088238
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+Brea,33.9254,-117.8655,46912,5.05877055758441
+Aci Castello,37.5556,15.1458,18577,5.05845289746142
+Vellodu,10.3048,77.9552,13832,5.05809938658643
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+Anosimparihy,-21.5,47.9833,10000,5.0579027149904
+Santo Domingo,17.6414,120.4108,29041,5.05770922896687
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+Haddon,39.9063,-75.0625,15243,5.0572756190853
+Almada,38.6803,-9.1583,177268,5.0553421225277
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+Santo André,-23.6572,-46.5333,721368,5.05386581045029
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+Arai,34.6833,137.5667,16975,5.05262458507839
+Montévrain,48.8753,2.7456,13517,5.05176709837605
+Aratuípe,-13.0789,-39.0019,9127,5.05155540103937
+Wustermark,52.5497,12.9497,10401,5.05142222283248
+Doria Sonāpur,26.183,87.3873,14374,5.05107450075913
+Ennamangalam,11.6449,77.593,9946,5.05052845870126
+Tsuruno,40.8087,140.3801,30760,5.05040494846784
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+Bairiyā,26.3392,84.8236,9424,5.04846197122417
+Mitake,35.4344,137.1307,17536,5.04825770308624
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+North Aurora,41.8086,-88.3414,17892,5.04806117502437
+Essex Junction,44.4902,-73.1141,10473,5.04782095991733
+Lubuagan,17.35,121.1833,9323,5.04643884556821
+Badru Khān,30.2523,75.7917,10245,5.04630886061748
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+Basāha,26.1329,86.748,8907,5.04282705481745
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+Kadama,1.0167,33.8803,10000,5.042181900519
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+La Paz,-34.7617,-56.2233,20524,5.03998313089962
+Vico Equense,40.6667,14.4333,20919,5.03996125573126
+Abhwar,26.174,86.6324,13390,5.03946617356585
+Ankarana-Miraihina,-23.0833,47.6333,9000,5.03917971938809
+Mukkūdal,8.7431,77.5225,18420,5.0390808302643
+Forest Acres,34.0323,-80.9716,10621,5.03905877071089
+Hochheim am Main,50.0167,8.35,18310,5.03902418395382
+Ponte Buggianese,43.8408,10.7475,8919,5.03891099005235
+Pedavīdu,16.8558,79.8937,9628,5.03785771319156
+Graçanicë,42.6,21.2,10675,5.03753147847453
+Tōin,35.0741,136.5836,25658,5.03724485565499
+Relangi,16.705,81.647,14559,5.03645067851181
+Eṭ Ṭīra,32.2322,34.9483,26200,5.03531477184471
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+Esplugas de Llobregat,41.3767,2.0858,46777,5.03504867366968
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+Grünheide,52.4255,13.8228,8872,5.03279856116548
+Kottūr,9.9038,77.4071,8679,5.03251736385809
+Rājhanpur,25.7885,86.4647,8627,5.03240145039466
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+Zaventem,50.8833,4.4667,35184,5.03089760834429
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+Dhanupra,25.6992,86.4716,12500,5.0300866989493
+Pont-à-Celles,50.5,4.35,17287,5.02993611515616
+Holbrook,42.1471,-71.0057,11344,5.02991883879794
+Villa Literno,41.0096,14.0741,12184,5.02941570336211
+Wekiwa Springs,28.6984,-81.4251,24049,5.02856444004207
+Solin,43.5317,16.4947,23926,5.0273690295617
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+Barhauna,25.304,85.4216,8887,5.02466986022582
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+Villa Nueva,-32.9,-68.7667,11104,5.02427115313435
+Aflao,6.1468,1.1799,66546,5.0239561409364
+Sainte-Marthe-sur-le-Lac,45.53,-73.93,18074,5.02394512405902
+Kapelle-op-den-Bos,51.0167,4.3667,9396,5.02253158592019
+Weinsberg,49.1518,9.2857,12753,5.02230189960018
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+La Esperanza,14.8719,-91.5619,24948,5.02019717914156
+Nāgāyalanka,15.95,80.9167,9321,5.01971207000459
+Gondomar,42.1111,-8.7611,14970,5.01969912415693
+Ibigawa,35.4873,136.5686,19519,5.01961381745181
+Léognan,44.7286,-0.6008,10571,5.01941782218083
+Vlotho,52.1667,8.8497,18429,5.01917555363937
+St. Stephens,35.7642,-81.2746,9396,5.01828883155235
+Quezalguaque,12.5078,-86.9033,8591,5.0181972949316
+Avalēpalli,12.7714,77.8594,13651,5.01779820722516
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+Mérignac,44.8386,-0.6436,72197,5.0170787570255
+Kamdoli,15.2048,75.2549,9935,5.01685400363564
+Mallapuram,9.828,77.673,10276,5.01656207634588
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+San Giustino,43.55,12.1833,11213,4.26394892647709
+Stein bei Nürnberg,49.4167,11.0167,14329,4.26371429474656
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+Tārazu,34.2714,74.5009,8619,4.26296002276189
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+Ji’an,23.95,121.5722,82840,4.26265531969209
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+Carqueiranne,43.095,6.0736,9555,4.25054325461722
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+Bukkapatnam,14.1997,77.8012,12196,3.99974453780524
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+Niederkrüchten,51.1989,6.2194,15550,3.98751095770763
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+Forest City,28.6619,-81.4444,14011,3.97884648569469
+Munhall,40.3935,-79.9005,10827,3.97822399725651
+Langedijk,52.6936,4.7944,27992,3.97791875331674
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+El Marmouta,32.0838,-7.4091,8774,3.97037460093609
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+Saran,47.9514,1.8803,16357,3.77309429707134
+Kovūr,14.4833,79.9833,32082,3.77240730179574
+Jethuli,25.5378,85.2841,11572,3.77236264567157
+Balingoan,9,124.85,11020,3.77189899805217
+Sunset,25.706,-80.353,14415,3.77186313034444
+San Carlos,37.4982,-122.2677,30754,3.77081430260868
+Maracena,37.2,-3.6333,22358,3.77072582511064
+Onchan,54.175,-4.455,9172,3.77068688138447
+Cossimbāzār,24.12,88.28,11724,3.77051237177187
+Columbia Heights,45.0484,-93.2472,21612,3.7704563585792
+Wyandanch,40.7496,-73.3633,13598,3.77001714471331
+Küsnacht,47.3167,8.5833,14387,3.76920458394404
+Nanakuli,21.3892,-158.1445,12587,3.76901412093534
+Camboriú,-27.025,-48.6539,62361,3.76737320176569
+Tysons,38.9215,-77.2273,26171,3.76649167266836
+Senmanat,41.6086,2.1358,9417,3.76623624226871
+Highland,41.5483,-87.4588,23695,3.76519039943476
+Dogāchi,24.6195,87.9221,13848,3.76472153930185
+Schlieren,47.4,8.45,18731,3.76325862511431
+Dolenjske Toplice,45.7545,15.0583,882,3.7630922965001
+Caño Martin Peña,18.4309,-66.0507,12112,3.76302998678289
+Telua,26.6396,84.5108,15143,3.76216995729086
+Nová Dubnica,48.9331,18.1439,11134,3.76169153759875
+Mūndka,28.6794,77.0284,54541,3.76130855095034
+Piedmont,37.8225,-122.2301,11368,3.76124459371819
+Escaudain,50.3344,3.3428,9682,3.76090207852268
+Woodhaven,42.132,-83.2374,12889,3.76048635491093
+Springfield,40.6994,-74.3254,17004,3.76017387603082
+Māruteru,16.6237,81.7394,10346,3.76004763358049
+Apalit,14.9496,120.7587,117160,3.7579280393184
+Puduppattanam,10.7626,79.1616,9584,3.75766946326954
+Willimantic,41.7171,-72.2114,18150,3.75630225163725
+Wielsbeke,50.9089,3.3697,9584,3.7552048992632
+Jagta,26.1321,87.1911,8582,3.75504223718661
+Pratteln,47.5167,7.7,16621,3.75491519722701
+Nariman,40.5972,72.7972,12021,3.75419914250064
+Nawāda,25.1021,86.6902,12294,3.75327903204812
+Vedène,43.9775,4.9031,11383,3.7528152335544
+Potosí,11.4942,-85.8556,11094,3.75237268676224
+Bikrampur Bānde,25.8415,85.7424,8653,3.7510914623645
+Sīlaiyampatti,9.8732,77.3927,8602,3.75042636492184
+Innsbrook,37.6552,-77.5775,8966,3.75036956369114
+Doraville,33.9073,-84.2711,10611,3.74988241725818
+Tummapūdi,16.378,80.6231,8755,3.7498013554065
+São Joaquim de Bicas,-20.0489,-44.2739,25537,3.74938982566639
+Ikkādu,13.1724,79.9358,11109,3.74909758737003
+Parwāha,26.2336,87.2197,9925,3.74876397779868
+Stoneham,42.4741,-71.0972,23077,3.74836151552315
+Ascot,51.4084,-0.6707,11603,3.74781773753217
+Meckenbeuren,47.7,9.5625,13651,3.747598440141
+Escazú,9.916,-84.1459,11984,3.74629550437445
+College Park,33.6363,-84.464,14032,3.7455908506157
+Summit,47.1694,-122.3628,8897,3.74558615619563
+Casalgrande,44.5833,10.7333,19234,3.74556067023277
+Sremska Kamenica,45.2206,19.8392,11967,3.74507398141627
+Miyoshidai,35.8284,139.5265,38380,3.74422825360227
+Fujikawa,35.5612,138.4613,14004,3.74418109054101
+Riverdale,41.1732,-112.0023,9279,3.74302451588416
+Hythe,50.869,-1.399,20526,3.74284798064325
+Bāli,22.65,88.34,293373,3.74275907544892
+Lakeside,37.6132,-77.4768,12690,3.74233085891123
+Abjīj,29.2861,30.8152,10057,3.7420115014048
+Wichelen,51,3.9667,11578,3.74169273910635
+Mosbrough,53.325,-1.362,17097,3.74139431270713
+Khorramābād,36.7828,50.8722,11542,3.73921441639449
+Dakhrām,26.0542,86.128,10672,3.73781829835488
+Beşikdüzü,41.0494,39.2353,22630,3.73766379379475
+Sotteville-lès-Rouen,49.4092,1.09,29068,3.73752134089722
+Adwick le Street,53.5677,-1.1931,15911,3.73701193040019
+Khajuri,26.063,87.1341,9303,3.73700376621043
+Little Canada,45.0244,-93.0863,10704,3.73586996407901
+Chauki Hasan Chauki Makhdum,26.2333,84.4964,10100,3.73448095826112
+Richmond Heights,41.5589,-81.5029,10748,3.7336387327755
+Belousovo,55.0833,36.6667,9288,3.73272325631519
+Roseville,42.5074,-82.9369,47692,3.73269440779552
+Glen Allen,37.666,-77.4838,14783,3.73253717995871
+Samal,14.7678,120.5431,38302,3.73228627270509
+Oakville,41.5893,-73.0905,9507,3.73220266050036
+Sher Chakla,25.3848,86.6952,13713,3.73119136203591
+Stephanskirchen,47.85,12.1833,10643,3.7310003648635
+Imlil,31.7567,-7.0106,9796,3.73061381272402
+Gata,7.85,124.35,31141,3.72891012201258
+Nelkattumseval,9.24,77.53,8693,3.72682022547532
+Şaḩnāyā,33.4242,36.2244,13993,3.72464285721134
+North Bellmore,40.6904,-73.539,21535,3.72406845127191
+Gidi,23.6909,85.3641,18025,3.72388892412721
+Rury,51.2386,22.5164,30093,3.72369352742517
+Mahārājapuram,9.6588,77.6631,10033,3.72369172933354
+Schenefeld,53.6028,9.8233,19402,3.72339185430582
+Šentrupert,45.9769,15.0897,310,3.72265462609031
+Mercerville,40.236,-74.6917,14234,3.72239760698412
+Santa Rita,14.9953,120.6153,48209,3.72180864041204
+Obertraubling,48.9658,12.1669,8557,3.7217545469756
+Stalybridge,53.4834,-2.04,23731,3.71873453680479
+Solindābād,25.8463,86.5907,10131,3.71744514206181
+Fort Drum,44.045,-75.7845,15895,3.71743619969002
+Zgornje Gorje,46.3801,14.0684,532,3.71715175877204
+San Vicente,9.9636,-84.0454,30998,3.7170515314268
+Hulikal,11.3193,76.7732,22511,3.71693985148578
+Lentate sul Seveso,45.6784,9.1219,15878,3.71606235333116
+Welling,51.4594,0.1097,41000,3.71516374469618
+Freire,-38.9558,-72.6256,21890,3.71486022289796
+Le Hochet,-20.135,57.5211,15034,3.71477405807023
+Monte San Pietro,44.4578,11.199,10960,3.7146594671611
+Florida,-34.5167,-58.5,48158,3.7139105499283
+Kaizuka,34.4333,135.3667,84356,3.7139105499283
+Guernica,-34.9167,-58.3833,52529,3.7139105499283
+Albano Laziale,41.7333,12.6667,41314,3.7139105499283
+Katsuragi,34.4833,135.7333,37225,3.7139105499283
+Ennepetal,51.2833,7.3333,30306,3.7139105499283
+Friedberg,50.3333,8.75,29674,3.7139105499283
+Lainate,45.5667,9.0333,25763,3.7139105499283
+Pantar,8.0667,124.2667,26599,3.7139105499283
+Ambohitromby,-18.9667,46.3167,21466,3.7139105499283
+Māḩiş,31.9833,35.7667,17754,3.7139105499283
+Dison,50.6167,5.85,15405,3.7139105499283
+Aartselaar,51.1333,4.3833,14427,3.7139105499283
+Bonheiden,51.0333,4.5333,15078,3.7139105499283
+Cicciano,40.9667,14.5333,12897,3.7139105499283
+Acalá del Río,37.5167,-5.9667,12315,3.7139105499283
+Gelves,37.3333,-6.0167,10317,3.7139105499283
+Panaon,8.3667,123.8333,10797,3.7139105499283
+Bibbiano,44.6667,10.4667,10241,3.7139105499283
+Vatana,-22.2167,47.75,10000,3.7139105499283
+Arlöv,55.6333,13.0833,10284,3.7139105499283
+Triuggio,45.6667,9.2667,8763,3.7139105499283
+Vergiate,45.7167,8.7,8711,3.7139105499283
+Zunilito,14.6167,-91.5167,8888,3.7139105499283
+Erchie,40.4333,17.7333,8671,3.7139105499283
+Ankerana,-21.0333,47.1167,10000,3.7139105499283
+Alcalá,4.6667,-75.75,23195,3.7139105499282
+Madanpur,26.2103,87.5141,16851,3.7135160583831
+Kew Green,51.5308,-0.2248,14915,3.71287310525386
+Palangavāngudi,10.7244,78.8108,12157,3.71268232083616
+New Providence,40.6996,-74.4035,13570,3.71251762585039
+Sakri,26.2197,86.0853,18002,3.71198320945754
+Seabrook,38.9802,-76.8502,19558,3.71173515248717
+Jangy-Kyshtak,40.55,72.7306,11647,3.71119289393162
+Pāli,26.0576,86.3097,13984,3.71098665368999
+Kireka,0.3467,32.5,69000,3.7109272971886
+Bhaurādah,26.252,87.86,10769,3.71032946596123
+Wahiawa,21.5012,-158.0178,17357,3.71027340815372
+Faetano,43.9256,12.4983,1177,3.70989323161739
+Levittown,40.1533,-74.8531,51100,3.70963311066861
+Kwai Chung,22.3674,114.1273,38674,3.70914904963544
+Benaguacil,39.5933,-0.5864,11568,3.70813814977349
+White Oak,39.0451,-76.9885,14711,3.70763658842468
+North Amityville,40.7005,-73.4119,19817,3.70664248589549
+Siegburg,50.8014,7.2044,41660,3.70661867501517
+Chāltābāria,21.9996,88.5312,11738,3.70651132463743
+Gröbenzell,48.2,11.3667,19967,3.70575139143292
+Höchberg,49.7831,9.8817,9379,3.70476710775908
+Chantepie,48.0886,-1.6164,10458,3.70447583205105
+Vught,51.65,5.3,31669,3.70279105726426
+Emmen,47.0833,8.3,29292,3.70279105726426
+Terzigno,40.8,14.5,18584,3.70279105726426
+Oued Jdida,33.9333,-5.3667,14935,3.70279105726426
+Schinnen,50.95,5.8833,12911,3.70279105726426
+Ebersberg,48.0833,11.9667,12239,3.70279105726426
+Rodenbach,50.15,9.0333,11204,3.70279105726426
+Montopoli in Val d’Arno,43.6667,10.75,11149,3.70279105726426
+Bertinoro,44.15,12.1333,10947,3.70279105726426
+Induno Olona,45.85,8.8333,10266,3.70279105726426
+Maserà di Padova,45.3167,11.8667,9127,3.70279105726426
+Gonzaga,44.95,10.8167,9103,3.70279105726426
+Guédiawaye,14.7833,-17.4,329659,3.70279105726387
+Rafael Delgado,18.8167,-97.0667,23112,3.70279105726387
+Anosy Avaratra,-18.8,47.55,15243,3.70279105726387
+Ambinanisakana,-16.95,49.5833,26990,3.70279105726387
+Santo Tomas,17.4,121.7667,24528,3.70279105726387
+Santo Tomás,10.7667,-74.9167,23188,3.70279105726387
+Ambongo,-23.45,47.2667,18000,3.70279105726387
+Ambohimanambola,-18.95,47.6,16418,3.70279105726387
+Panganiban,13.9,124.3,9713,3.70279105726387
+Malilipot,13.3167,123.7333,40857,3.70279105726367
+Akpassi,8.45,1.8833,8979,3.70279105726367
+Mendoza,-32.8833,-68.8167,115041,3.70279105726347
+La Reina,-33.45,-70.55,92787,3.70279105726347
+Maroúsi,38.05,23.8,72333,3.70279105726347
+Longchamps,-34.85,-58.3833,47622,3.70279105726347
+Epalinges,46.55,6.6667,9611,3.70279105726347
+Castricum,52.55,4.6667,36086,3.70279105726347
+Pointe-Claire,45.45,-73.8167,31380,3.70279105726347
+Torre del Mar,36.75,-4.1,22819,3.70279105726347
+Cornaredo,45.5,9.0333,20534,3.70279105726347
+Fray Luis A. Beltrán,-32.7833,-60.7333,15176,3.70279105726347
+Puerto San Martín,-32.7167,-60.7333,13243,3.70279105726347
+Grave,51.7667,5.7333,12486,3.70279105726347
+Grumo Appula,41.0167,16.7,12710,3.70279105726347
+Blaricum,52.2667,5.25,11952,3.70279105726347
+Oberschleißheim,48.25,11.5667,11864,3.70279105726347
+Locate di Triulzi,45.35,9.2167,10216,3.70279105726347
+Alhendín,37.1167,-3.65,9941,3.70279105726347
+Inverigo,45.7333,9.2167,9146,3.70279105726347
+Boudinar,35.15,-3.6333,9863,3.70279105726347
+Ambohimiarivo,-19.85,47.15,10000,3.70279105726347
+Willoughby Hills,41.5873,-81.4333,9929,3.70258743302955
+Great Wyrley,52.6593,-2.0102,11060,3.70239489897291
+Santa María de Palautordera,41.6953,2.4458,9777,3.70172724534068
+Panazol,45.8389,1.31,10974,3.70151443861575
+Ladan Kara,40.9264,72.9569,8886,3.70119038027613
+Roanoke,33.0144,-97.2276,9270,3.7007065562863
+Griffith,41.5277,-87.4239,16213,3.6992701255919
+Vālavandānkottai,10.7667,78.8333,9199,3.69926725510909
+Madakalavāripalli,14.7475,79.0843,34449,3.69878190014514
+Lons,43.315,-0.4108,13720,3.6987389503214
+Ossett,53.68,-1.58,21231,3.69825624770348
+Esquimalt,48.4306,-123.4147,17655,3.69797802882486
+Yopougon,5.3167,-4.0667,1571065,3.69793231332491
+Dumri,25.8605,84.5512,8910,3.69688794655658
+Fort Mitchell,39.046,-84.5562,8618,3.69595007140566
+Palmilla,-34.6042,-71.3583,11844,3.6956266600898
+Sākhmohan,25.6325,85.9859,12939,3.69540740906646
+Marano di Napoli,40.9,14.1833,59862,3.69462185924445
+St. Ann,38.7266,-90.3872,13007,3.69446011313162
+Venkatāpuram,18.2232,79.9516,10186,3.69391409156134
+Aniche,50.33,3.2511,10146,3.69379431121913
+Štore,46.2219,15.3111,2257,3.6928296540295
+Valley Falls,41.9233,-71.3924,12064,3.69259899359716
+Altadena,34.1927,-118.1346,43384,3.69168985268871
+Linluo,22.6506,120.5271,10586,3.69130507099112
+Auta,25.3882,85.9558,11716,3.69100554707466
+Ban Nong Hoi,18.75,99.0167,13144,3.68983974385681
+Atchoupa,6.5333,2.6333,19565,3.68979202333026
+Lohiyār Ujain,26.6284,84.7452,12992,3.68974132790726
+San Isidro,9.9737,-83.9861,16625,3.68953981920502
+Schkopau,51.3833,11.9667,10937,3.6891179432847
+Māldah,25.174,85.7599,8920,3.689114645736
+Marcory,5.3,-3.9833,214061,3.68696050749178
+Bhachhi,26.3404,86.0585,9275,3.68656316603358
+Rocca Priora,41.7833,12.7667,12060,3.68579363724027
+Seysses,43.4981,1.3125,9481,3.68577316905757
+Azcoitia,43.1792,-2.3106,11657,3.68532950935825
+Tsallagundla,16.3522,79.9619,8537,3.68385025316003
+Destrnik,46.4923,15.8801,186,3.68296124514553
+Lermontov,44.1167,42.9833,22891,3.68279925903647
+Canillo,42.5667,1.6,4103,3.68273107410853
+Felida,45.7138,-122.7103,10389,3.68264435599067
+Davorlim,15.2722,73.9924,14426,3.68257591246242
+Guntramsdorf,48.0483,16.315,9179,3.68256340269583
+Indanan,6,120.9667,93168,3.68250677985606
+Manali,13.1667,80.2667,37748,3.6816653383006
+Honchō,35.758,139.5299,116477,3.68161697231207
+Pessac,44.8067,-0.6311,65245,3.68157424440353
+Hussepur,26.1801,84.9408,9082,3.68127400533458
+Ciudad Madero,22.25,-97.8333,197216,3.68033660038123
+Musashimurayama,35.7548,139.3874,71183,3.6800510162962
+Leirvik,59.7798,5.5005,14126,3.67989934017628
+Simri,25.7523,86.6074,12619,3.67917166843473
+Patcham,50.864,-0.15,14277,3.67914565651874
+De Bilt,52.1167,5.2,43384,3.67879920255625
+Navabad,38.5278,68.675,10200,3.67847544720371
+Makri,24.386,83.5559,9676,3.6779698383335
+Onnaing,50.3878,3.5981,8813,3.67718146281088
+Ōiso,35.3069,139.3113,31121,3.6767224684473
+Pagalungan,7.0592,124.6987,46277,3.67649245228937
+Ulao,25.4165,86.0936,18020,3.67634984844454
+Gangaur,26.5666,85.8821,9803,3.6755138563034
+Sapahi,26.6517,84.8526,10721,3.67511771918092
+Ulipuram,11.4667,78.4667,9435,3.67500531163117
+Warrington,30.3835,-87.2946,16140,3.67465095869352
+Fujimi,35.8566,139.5492,111858,3.67453839939642
+Kaita,34.3722,132.536,29793,3.67444994225694
+Medford,42.4234,-71.1087,60708,3.67416933351142
+Bandora,15.4082,73.9813,16192,3.67304980503583
+Jasmine Estates,28.293,-82.6907,23334,3.67291067988196
+Le Bardo,36.8092,10.1406,73953,3.67228105351073
+West Falls Church,38.8648,-77.1878,31023,3.67203241260929
+Dhutauli,25.5274,86.625,12855,3.67180348878005
+Yasu,35.0667,136.0333,50049,3.67092398195582
+Senduriā,26.7469,84.6754,11411,3.67058366617741
+Nalua,22.1051,88.4619,19071,3.67008206419884
+Minooka,41.4507,-88.2791,12412,3.66990857692972
+Sankhavaram,15.0497,78.9836,10924,3.66957400476394
+Paramount,33.8977,-118.1651,53904,3.66953006378311
+Bonhill,55.983,-4.567,9050,3.66948007519951
+Palangarai,11.1978,77.3058,12963,3.66929072421944
+Ārumuganeri,8.5717,78.0922,32809,3.66921509191021
+Fort Salonga,40.9068,-73.2996,9708,3.66818564709088
+Vilaseca de Solcina,41.111,1.145,22681,3.66764481751628
+Jiaojiangcun,28.6804,121.45,471500,3.66717083132433
+Buadiposo-Buntong,7.9667,124.3833,18046,3.66705463533447
+Colindres,43.3967,-3.4483,8512,3.66696372136984
+Barahari,25.7652,87.0937,13655,3.66663064132856
+Perchtoldsdorf,48.1167,16.2667,15047,3.66633274831655
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+Mahādebnagar,24.6896,87.9384,22876,3.36639704108588
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+Ankiliabo,-24.6833,44.7167,9000,3.36446678810268
+Orange Park,30.1706,-81.7041,8682,3.36300285989769
+Carmen de Patagones,-40.7833,-62.9667,20533,3.36259387336884
+Rognac,43.4878,5.2322,12086,3.3625766425288
+Dania Beach,26.0593,-80.1637,31703,3.36213335068037
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+Beacon,41.5036,-73.9655,13713,3.36060993825229
+Valenzano,41.05,16.8833,17952,3.36017152104301
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+Zunil,14.7836,-91.4844,15893,3.35697567219222
+Arsin,40.95,39.9333,34831,3.35671859869948
+Roncq,50.7536,3.1203,13482,3.35660620472942
+Five Corners,45.6883,-122.5738,20428,3.35650576514936
+Grossos,-4.98,-37.155,9393,3.35579067087857
+Spring Valley,32.7317,-116.9766,32860,3.35552955604792
+Almolonga,14.8122,-91.4944,17305,3.35424239525225
+Licey al Medio,19.43,-70.62,25539,3.35375163304278
+North Lauderdale,26.2113,-80.2209,44579,3.35264556079694
+Hilzingen,47.7653,8.7844,8754,3.35228857176765
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+Tenafly,40.9176,-73.9532,15307,3.35162755643946
+Pudukkottai,10.6118,78.0505,9210,3.35124332287222
+Hoek van Holland,51.9811,4.1286,10340,3.35001204504568
+Nalgora,22.0346,88.4743,10373,3.34930632530365
+Monforte del Cid,38.3792,-0.7303,8619,3.34878370410004
+Panpuli,9.0214,77.2502,11289,3.34847529021733
+Wootton,52.2007,-0.8857,11180,3.34827750854232
+Apía,5.1,-75.95,10707,3.34759689649585
+Hod HaSharon,32.15,34.8833,56659,3.34671472660543
+Calarcá,4.5333,-75.65,79569,3.34560332312048
+Pakaryā Harsidhi,26.6526,84.7198,14516,3.3455718768225
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+Çatalağzı,41.5,31.8667,8678,3.3447456505894
+Chaponost,45.7103,4.7422,8846,3.34400865296114
+Oleshky,46.6333,32.5833,24639,3.34399740320713
+Melmadai,9.9264,78.1503,38409,3.34334521071743
+Bādanahatti,15.3176,76.8258,9209,3.34200671654087
+Bendapūdi,17.2673,82.3758,9247,3.34134083421839
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+Olmsted Falls,41.3657,-81.9038,8684,3.3412290253876
+El Ksar,34.39,8.8,33729,3.34093391864663
+Kızılpınar,41.2667,27.9667,54268,3.33935756248532
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+Konganāpuram,11.571,77.9004,10670,3.33753525578738
+Ban Wat Chan,16.8033,100.2351,8819,3.33690434362312
+Buxin,23.9523,120.5349,33816,3.33660631283337
+Bondues,50.7017,3.0933,9961,3.33584943058482
+Ak-Suu,42.8,74.1,9677,3.33584779933689
+Kurikuppi,15.07,76.55,14278,3.33584779933669
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+Keshwāri,24.1878,85.8411,9801,3.335000729013
+Sint-Genesius-Rode,50.745,4.3464,18296,3.33491836191241
+Ban Bang Phun,13.9968,100.5891,24625,3.3349009501069
+Colonia,40.5926,-74.3148,18776,3.33280467581544
+Jouy-le-Moutier,49.0108,2.0386,16741,3.33251470577317
+Mayrtup,43.2036,46.1322,13824,3.33243695207346
+Ashton in Makerfield,53.487,-2.641,24000,3.33166946001425
+Chikni,26.0664,87.4406,10173,3.33133092417677
+Annapolis Neck,38.9409,-76.4997,13059,3.33066909715897
+Siswa,26.6214,84.6739,14535,3.33047519711233
+Miami Lakes,25.9125,-80.3214,30582,3.32972792642798
+Pānāpur Langa,25.723,85.2878,11478,3.32969560213886
+Longxing,35.6091,111.2304,56381,3.32963908956047
+Almazora,39.9403,-0.0625,27383,3.3280978339787
+Vengavasal,12.8991,80.169,11737,3.32716576751242
+Simri,26.3825,86.1705,9983,3.3271481220775
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+Víctor Larco Herrera,-8.1333,-79.05,68506,3.32500266679771
+San Blas Atempa,16.3167,-95.2167,18406,3.32424387828991
+Villa Adelina,-34.5175,-58.5475,35307,3.32386985951046
+San Isidro,10.0299,-84.0431,20633,3.32372034929681
+Laheji,26.0957,84.4009,9199,3.32316875760129
+Pānr,25.6884,85.798,14201,3.32256817216267
+Delgado,13.7167,-89.1667,120200,3.32223646940256
+Īdupugallu,16.4609,80.7543,8764,3.3215968071153
+Airmont,41.0992,-74.0989,9964,3.32148996870497
+Vila Nova de Cerveira,41.9667,-8.6833,9253,3.32122685316037
+Australia,22.4995,-81.1359,8850,3.32090499899031
+Picnic Point,47.8744,-122.3077,9755,3.32065603458066
+Saint-Cyr-l’École,48.8003,2.0625,19792,3.32029575575299
+Lehāra,26.1515,86.1034,19697,3.31993188872545
+Póvoa de Varzim,41.38,-8.7608,63408,3.31974362180056
+San Cesareo,41.8167,12.8,15552,3.31973662486483
+Cave,41.8167,12.9333,11381,3.31973662486483
+Narot Mehra,32.2673,75.5647,10152,3.31947688069378
+Swinton,53.5122,-2.3412,22931,3.31680259604678
+Schwaikheim,48.8714,9.3531,9481,3.316072162777
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+Nettādahalli,12.133,78.0671,8572,3.31580332870933
+Carcagente,39.1222,-0.4489,20498,3.31555071649779
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+Milnrow,53.6101,-2.1111,13061,3.31466282733251
+Huitán,15.0486,-91.64,17209,3.3144416417071
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+Grosse Pointe Farms,42.4068,-82.8993,10018,3.31397480059218
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+Mengeš,46.1626,14.568,6119,3.31371930697913
+Baharu,22.204,88.4283,16155,3.31183427132122
+Bothell East,47.8064,-122.1844,13437,3.31166726146805
+Lake Arbor,38.9105,-76.8304,14376,3.31109092285321
+Thāthūpur,25.9731,86.0296,8648,3.31094345769304
+Mashan,37.0017,111.8933,29578,3.31074766105366
+Bueng Kan,18.3672,103.6497,4494,3.31008019687382
+Chorleywood,51.65,-0.51,11286,3.30940218244439
+Hybla Valley,38.7484,-77.0821,18410,3.30897087786498
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+Nīār,38.2369,48.3272,18405,3.30802082987077
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+Rivalta di Torino,45.034,7.5184,20185,3.30586020748694
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+Mellieħa,35.9564,14.3664,10087,3.30264245124712
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+Phra Samut Chedi,13.5976,100.5848,13082,3.30144861300073
+Ban Mae Sun Luang,19.8305,99.1706,15019,3.30133367356318
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+Scotch Plains,40.6332,-74.3739,24798,3.30084056741605
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+Desavilakku,11.6476,77.967,18924,3.29944802719444
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+Avellaneda,-29.1175,-59.6583,23341,3.29607125831879
+Phillipsburg,40.6894,-75.1821,15146,3.2958753300979
+Blunsdon Saint Andrew,51.61,-1.79,12414,3.29578662606747
+Douglas,51.8764,-8.4358,26883,3.29524158378722
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+Żabbar,35.8772,14.5381,15404,3.28988374451788
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+Biliran,11.58,124.48,17662,3.28846539604311
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+Dobbs Ferry,41.0127,-73.8697,11511,3.28809218877498
+Aubervilliers,48.9131,2.3831,88948,3.28797347798923
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+Patate,-1.3167,-78.5167,13497,3.28741645884512
+Töging am Inn,48.25,12.5667,9407,3.28722617877505
+Kirkstall,53.816,-1.602,20673,3.28721385210271
+Karaağaç,36.5667,36.1333,20459,3.28561852548615
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+Gangoli,13.65,74.6667,15958,3.28208877435732
+Browns Mills,39.9737,-74.569,10053,3.28122421445557
+North Miami Beach,25.9302,-80.1659,43357,3.28026456183699
+Craponne,45.7453,4.7233,11248,3.28026426774518
+San Isidro,15.3097,120.9069,54372,3.28025033601454
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+Beverly Hills,42.522,-83.2423,10593,3.27865797226323
+North Fair Oaks,37.4754,-122.2034,14360,3.27691082154839
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+St. Anthony,45.0278,-93.2174,9145,3.27560976458643
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+Werther,52.075,8.4125,11274,3.26364478542765
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+Ig,45.9692,14.5394,2240,3.25680911052372
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+Cerreto Guidi,43.7667,10.8833,11010,3.25553166706371
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+Schwarzenbruck,49.35,11.2333,8532,3.22025756757258
+Madanpur,24.6554,84.5844,9674,3.21994433489303
+Lake Hiawatha,40.8816,-74.3826,9987,3.21957077944805
+Kingsnorth,51.1178,0.8615,11243,3.21955476356149
+Dranesville,38.9955,-77.3693,11951,3.21947830006112
+East Windsor,40.2606,-74.5295,29603,3.21945669870441
+El Bâzoûrîyé,33.2539,35.2717,20000,3.21679968375699
+Wyoming,39.2297,-84.4816,8691,3.21525358297349
+Newcastle under Lyme,53.0109,-2.2278,75082,3.21474218781148
+Kannāndahalli,12.4164,78.3803,9704,3.21462052878723
+Swallownest,53.3623,-1.3251,15022,3.2143686741692
+Chalkāri,23.7582,85.9557,9189,3.21432276074572
+Böblingen,48.6856,9.0153,50470,3.21381101828011
+Jogaili,25.9096,87.4061,9188,3.21377711060908
+Villeurbanne,45.7667,4.8803,152212,3.21370620114455
+Le Crès,43.6472,3.9392,9316,3.21254666860585
+Ankaran,45.5793,13.7379,3224,3.21250309599886
+Ōi,35.3266,139.1565,17062,3.21134899616163
+Oatfield,45.4125,-122.594,12993,3.21106379019593
+River Road,44.0833,-123.132,9526,3.21053060259649
+Alblasserdam,51.8702,4.6667,20136,3.21029081533592
+Great Sankey,53.3918,-2.6383,24211,3.20908634902354
+Uniontown,39.8993,-79.7246,9988,3.20895438449542
+White Marsh,39.3819,-76.4574,9663,3.20870939324851
+San Jose,13.6981,123.5186,43973,3.20863223246619
+Perūr,10.9752,76.9129,10513,3.20772935764334
+Quaregnon,50.4333,3.8667,19006,3.20760613433615
+Corbetta,45.4667,8.9167,18302,3.20726994179935
+Saint-Barthélemy-d’Anjou,47.4675,-0.495,9210,3.20717752002272
+Veurne,51.0722,2.6622,12295,3.20652024909899
+Druid Hills,33.7842,-84.3272,8611,3.20597205210981
+Budhma,25.6451,86.8317,9176,3.2057169035098
+Génova,1.6442,-77.0194,10127,3.20564514340186
+Vellālāpuram,11.6525,77.938,14863,3.20487701158269
+Fiorano Modenese,44.5333,10.8167,17099,3.2032780533585
+Live Oak,29.5545,-98.3404,15554,3.20316549357084
+Mold,53.166,-3.133,10058,3.20310987436845
+Secaucus,40.781,-74.0659,21439,3.20290193754454
+Glyká Nerá,37.9917,23.8483,11049,3.20282551251645
+Gamharia,26.0561,86.7243,9575,3.20229976402014
+Bocaue,14.8,120.9333,141412,3.20220087901272
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+Mickleover,52.901,-1.552,18000,3.2008625657652
+Fords,40.5359,-74.3126,12897,3.20040389433444
+Leith,55.98,-3.17,50030,3.20033118503375
+Sāhpur,25.7035,85.1483,15273,3.19989593878557
+Purral,9.9594,-84.0165,27464,3.19935636338129
+Massy,48.7309,2.2713,50644,3.19868795075247
+Arluno,45.5,8.9333,12000,3.19788939095569
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+Aranda,26.085,84.3601,10604,3.1972347959136
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+Melsele,51.2209,4.2815,11093,3.19619688410484
+Bresso,45.5333,9.1833,26259,3.19600715542519
+Balaxanı,40.4617,49.92,11615,3.19549147420686
+Leisure City,25.4935,-80.4363,26667,3.19542181485618
+Arese,45.55,9.0667,19347,3.19537825531923
+Hornchurch,51.5565,0.2128,63583,3.19432341440306
+Bridgeview,41.7403,-87.8067,16883,3.19377499724041
+Rezé,47.1917,-1.5694,42919,3.19217791388979
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+Acomb,53.955,-1.126,22215,3.19120963587634
+Chilmil,25.4563,86.1364,9349,3.19080283016743
+Le Bouscat,44.8651,-0.5996,23924,3.19010980084247
+Rum,47.2872,11.4581,9190,3.19008627377206
+Gessate,45.55,9.4333,8821,3.18967182479336
+Vicopisano,43.6991,10.5831,8642,3.18891686232199
+Madhubani,27.0001,84.104,9702,3.18879457101268
+Valerik,43.1797,45.4081,9584,3.18834813775837
+Salford,53.483,-2.2931,103886,3.18818504834902
+Pathra,24.8804,87.0447,12219,3.18795871888383
+Chicalim,15.3994,73.8408,10037,3.18721364372976
+Lonate Pozzolo,45.6,8.75,11786,3.18716935735195
+Tiruverumbūr,10.7937,78.769,22207,3.18697626308843
+Kankanālapalle,15.9923,79.4848,9438,3.18632127065537
+Usmate Velate,45.65,9.35,10293,3.18591930940381
+Meda,45.6667,9.1667,23463,3.18529223593301
+Park Forest Village,40.7996,-77.9084,8933,3.18517075961994
+Octeville,49.6269,-1.6431,16948,3.18472690218545
+Bel Air,39.5348,-76.346,10663,3.18450558702033
+Mozzate,45.6833,8.95,8971,3.1840415005799
+Mahugaon,22.5748,75.7445,30012,3.18398469942191
+Wood Dale,41.9668,-87.9808,14034,3.18389818386666
+Baranzate,45.5167,9.1,12003,3.18383680256014
+Creazzo,45.5333,11.4833,11373,3.18383680256014
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+Galbiate,45.8,9.3833,8545,3.18028280015811
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+Scartho,53.5399,-0.0926,10408,3.17984299689595
+Frontera,26.926,-101.449,75242,3.1793284930275
+Perungulam,8.6413,77.9985,8516,3.17915166021419
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+Gorha,26.2267,86.9349,9815,3.17809524642114
+Santa Marta de Tormes,40.9494,-5.6325,14661,3.17728695687609
+Burslem,53.0426,-2.1879,11314,3.17669532499372
+West University Place,29.7157,-95.4321,14975,3.17602267292933
+Oceanside,40.6328,-73.6364,31182,3.17593082122405
+Vaulx-en-Velin,45.7768,4.9186,52795,3.17577650845183
+Parabiago,45.5583,8.9477,27842,3.17567866245313
+Kennedy Town,22.28,114.125,54000,3.17536052625977
+Nāgulapādu,16.309,80.371,9820,3.17499337372345
+Boonton,40.9047,-74.4048,8770,3.17487302796372
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+Lurate Caccivio,45.7667,9,9847,3.17443039386937
+Sevran,48.9333,2.5333,51734,3.17417642156983
+Porcia,45.9667,12.6167,15142,3.17400798290993
+Bentley,53.551,-1.144,27145,3.17332379946169
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+Saint-Laurent-du-Var,43.668,7.188,29169,3.17040429512748
+Pasian di Prato,46.05,13.2,9363,3.17023845953781
+Matiçan,42.6449,21.1918,13876,3.16949063220487
+Linganaboyinacherla,16.3961,81.6598,13869,3.16919486022435
+Sant’Anastasia,40.8667,14.4,27690,3.16907975470739
+Cabriès,43.4411,5.3797,9918,3.16767019230643
+Ōgawara,38.0494,140.7308,23586,3.16743076828364
+Cheste,39.4797,-0.6844,8971,3.16727874162916
+Elūrpatti,11.0234,78.2844,9469,3.16710257395891
+Des Peres,38.5973,-90.448,9096,3.16670775123705
+Parihāra,25.5378,86.2728,13848,3.16605799013523
+Sānwas,25.1795,85.7148,8833,3.16557865931577
+Meyrin,46.2167,6.0667,24144,3.16457668389247
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+Sewa,24.8753,86.3257,9185,3.16400979816091
+Segrate,45.49,9.2953,35492,3.16373570149944
+Nakonde,-9.3272,32.7583,10652,3.16183301295006
+Altmünster,47.9,13.7667,9793,3.16086654125476
+Clawson,42.5367,-83.1504,11482,3.15986171382221
+Irlam,53.445,-2.422,19933,3.15930618536289
+Lopatcong,40.7091,-75.1551,8810,3.15900276022515
+Idylwood,38.8896,-77.2056,17687,3.15891711527358
+Dayālpur Sāpha,25.7122,85.3188,13021,3.15820642083749
+Pinner,51.5932,-0.3894,31130,3.15667113879052
+Willowbrook,33.9209,-118.2356,24006,3.15602177705509
+Vemulūru,16.9337,81.8057,14613,3.15282101684807
+West Drayton,51.5043,-0.4646,14370,3.15209598963505
+Monfort Heights,39.1823,-84.6075,13221,3.14947013140135
+Srīnagar,25.9823,86.6662,12167,3.14900255484192
+Stratton Saint Margaret,51.586,-1.762,22698,3.14733858397275
+Fairview Park,41.4419,-81.853,17167,3.14709228534273
+Verukulambu,8.2953,77.2939,23763,3.14694440045086
+Taishi,34.8333,134.5724,33321,3.14692852346862
+Ruggell,47.245,9.5332,2295,3.14682548275228
+Vegarai,11.0903,77.9679,11784,3.14677637857315
+Kalyani,22.975,88.4344,100575,3.14663909689366
+Hillside,40.6961,-74.2286,22319,3.14656460529199
+Dodworth,53.5417,-1.5214,9777,3.14631931754637
+Khānāpur,19.0333,78.6667,13485,3.14501375366778
+Rāmpur Khajuriyā,26.3923,84.7688,9024,3.14422282182585
+Nawāda Gobindganj,26.4868,84.6561,12749,3.14410985673135
+Mariakerke,51.0728,3.6761,14140,3.14409510873728
+Kotia,26.275,86.0532,12311,3.14405346206889
+Villars-sur-Glâne,46.7833,7.1167,12092,3.14247638327855
+Ōyamazaki,34.9028,135.6885,15991,3.1420416809315
+Fairfax Station,38.7942,-77.3358,12322,3.1414520286078
+Terranuova Bracciolini,43.5531,11.5894,12292,3.14115452182042
+Bhawānandpur,25.54,86.103,9603,3.14064392687038
+Ban Bang Krang,13.8422,100.4539,23010,3.14053082125433
+Commerce,33.9963,-118.1519,12459,3.14033130984347
+Wibsey,53.7672,-1.7728,14671,3.14024529359588
+Linbian,22.4333,120.5167,16698,3.14002282233016
+Hendon,51.5837,-0.2252,35874,3.13978540309445
+Anglet,43.485,-1.5183,39719,3.13946054031258
+Yehud,32.0333,34.8833,29146,3.1390039551795
+Paal,51.0392,5.1728,12083,3.13892411044279
+Federal Heights,39.8651,-105.0154,14111,3.13862470489577
+Soquel,36.9978,-121.9483,10806,3.13836674714168
+East Norriton,40.1506,-75.3364,13976,3.13791717126677
+Dingle,53.3774,-2.9613,13246,3.13627946874817
+Satravāda,13.3201,79.5488,9303,3.13563380057335
+Rehlingen-Siersburg,49.3686,6.6786,14469,3.13428751405762
+Horw,47.0167,8.3167,14243,3.13314403912997
+Neder-Over-Heembeek,50.9,4.3833,17595,3.13282372060894
+Hove,50.8352,-0.1758,91900,3.13053360744028
+Soyaux,45.6403,0.1978,9761,3.13013740924214
+Gundelfingen,48.0425,7.8657,11872,3.12878409490248
+Atherton,53.523,-2.495,22000,3.12872414739595
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+Mitchellville,38.9358,-76.8146,12160,3.12769993624801
+Ghusiya,25.1832,84.2486,9736,3.12701469123674
+Chikhli Kalān,22.2152,78.743,14322,3.12663908318735
+Alfena,41.2381,-8.5253,20000,3.12595883740791
+Tamarakulam,8.1325,77.4848,14188,3.12553197121107
+Englewood,40.8917,-73.9736,29129,3.12430139891374
+Berkeley Heights,40.6764,-74.4244,13147,3.12415144256254
+Great Linford,52.068,-0.7637,19350,3.12371967114171
+Amha,26.0518,86.6906,11024,3.12300291983759
+Paikpar,26.0966,87.1349,12299,3.12289878940899
+Kafr al Kurdī,31.1429,31.7826,42651,3.12171775501292
+Dongmaying,39.1221,115.9814,30841,3.11966006235667
+Richterswil,47.2167,8.7,13407,3.1193815665761
+Spreitenbach,47.4167,8.3667,11788,3.11897146727645
+Échirolles,45.1436,5.7183,36961,3.11895084784383
+Teboulba,35.67,10.9,37485,3.11882330017396
+Pirojgarh,26.2769,86.4389,8613,3.11866500508342
+Vadugappatti,10.1036,77.5731,16337,3.1176679152911
+Thalwil,47.2833,8.5667,18525,3.11746907496981
+Caoayan,17.5469,120.3831,19574,3.11735819705575
+Tököl,47.3203,18.9671,10537,3.11607039295526
+Drancy,48.93,2.45,72376,3.11605473201342
+Balagtas,14.8145,120.9085,77018,3.11567832632421
+Mytishchi,55.9167,37.7667,211606,3.11566852243398
+Goldach,47.4831,9.4664,9269,3.11491705976082
+Gosforth,55.007,-1.623,23620,3.1146834449614
+Jarville-la-Malgrange,48.6694,6.2061,9354,3.11466831382668
+Royal Kunia,21.4053,-158.0318,14390,3.11461453444891
+Waltham Abbey,51.6846,0.0004,22859,3.11400180669263
+Villa Park,41.8865,-87.9779,22755,3.11320910217706
+Lohna,26.2314,86.2095,8556,3.11290957183083
+Marsaskala,35.8625,14.5675,12134,3.11283619303738
+San Maurizio Canavese,45.2171,7.6305,10312,3.11278145457647
+Bīrpur Bārāpatti Pindraun,26.5475,86.3898,9831,3.11251303977504
+Montataire,49.2556,2.4383,13645,3.11195525572147
+Cedar Hills,45.5047,-122.8053,9511,3.11193069230406
+Budakalász,47.6215,19.046,11640,3.11160097342425
+Canaman,13.6481,123.1711,36205,3.11101259173711
+Kendall West,25.7065,-80.4388,36964,3.11095196083587
+Lochearn,39.3461,-76.7307,26995,3.11004163460249
+Chillán Viejo,-36.6229,-72.1317,27359,3.10964572682269
+Ḩās,35.6169,36.5953,9595,3.10946385162807
+Upper Gwynedd,40.2144,-75.2891,16910,3.10882578939228
+Garching bei München,48.25,11.65,17711,3.10855756862142
+Silvārpatti,10.118,77.6241,8515,3.10855751709939
+Atāri,31.6008,74.6056,9523,3.10830981837096
+Gosaingaon,25.3724,87.1049,12492,3.10820549570773
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+Maner,25.65,84.88,26912,3.107487392893
+Chauki,25.4573,86.4018,11002,3.10744917890407
+Bhabānipur,24.7153,87.9227,11465,3.10633194155854
+Mānikpur,25.91,86.821,18110,3.10623712063774
+Hasanpur,25.633,85.5728,12302,3.10551090677533
+El Segundo,33.917,-118.4018,17243,3.10486317218038
+Northglenn,39.9108,-104.9783,37899,3.10433201765518
+Saint-Louis,47.59,7.57,22835,3.10390438876465
+Peiting,47.8,10.9333,11588,3.1036529740737
+Mālancha,24.666,87.922,16918,3.10358408527065
+Lake Grove,40.8586,-73.1168,11110,3.10336711358728
+River Vale,41.0138,-74.008,9888,3.10332812432878
+Melchor Ocampo,19.7083,-99.1444,57152,3.1023158285591
+Erdőkertes,47.6667,19.3167,8771,3.1008496500717
+Pattanam,10.9808,77.0542,8549,3.10009611418424
+Chokkalingapuram,10.193,78.3973,9209,3.09966262341277
+Roquevaire,43.3494,5.6047,8858,3.09922149214034
+Jamsher,31.27,75.6417,11122,3.09897662413716
+Çankaya,39.9244,32.8856,914501,3.09885488387426
+Oak Bay,48.4264,-123.3228,18094,3.09882384170783
+Wandsworth,51.455,-0.192,61594,3.09819572973699
+Latham,42.7427,-73.7497,14076,3.09799204328472
+Sukurhutu,23.4433,85.2917,11650,3.09615492953101
+Belmont,37.5154,-122.2953,28109,3.09595842061484
+Cambuslang,55.819,-4.1671,29100,3.09573755998237
+Laguna Hills,33.5918,-117.6991,31409,3.09563923246253
+Kiyose,35.7857,139.5265,75389,3.09533571022387
+Southborough,51.1598,0.2652,11124,3.09502605184332
+Kottaipatti,10.1533,77.7315,9968,3.09453019790744
+Park Ridge,41.0352,-74.0423,8987,3.0945071438714
+Hohenbrunn,48.05,11.7,8823,3.09405094651385
+La Línea de la Concepción,36.1611,-5.3486,63365,3.09377387543771
+Earley,51.433,-0.933,32036,3.09222423188734
+Shepperton,51.39,-0.46,9753,3.09194819021642
+Nallippālaiyam,11.2388,78.1495,10508,3.0916072783738
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+Eichenau,48.1667,11.3167,11894,3.09020426058551
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+East Whittier,33.9244,-117.9887,9995,3.0892744525549
+Hasroûn,34.2419,35.9794,12000,3.08811516868491
+Muskegon Heights,43.2023,-86.2421,10058,3.08800552845762
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+Ketsch,49.3658,8.5336,12995,3.08699532268237
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+Smižany,48.9556,20.5292,8698,3.08459877434376
+Bedfordview,-26.1794,28.1361,13959,3.08410946782863
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+Mulakalūru,16.2776,80.0672,12949,3.08349983334233
+Le Chambon-Feugerolles,45.3961,4.325,12200,3.08281213738327
+Clark,40.6203,-74.3134,15445,3.08236610332728
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+Kirkby in Ashfield,53.099,-1.245,25265,3.08200092367427
+Værløse,55.7819,12.3731,13127,3.08165233268826
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+Oppicherla,16.4444,79.6967,9266,2.46435714482723
+Brwinów,52.1417,20.7167,14448,2.46342498404751
+Jīdigunta,16.9098,81.8553,11570,2.46302649472417
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+East San Gabriel,34.1157,-118.0791,22941,2.46230510165776
+Rafelbuñol,39.5922,-0.3342,9381,2.46162657777522
+Laukaria,26.7184,84.4242,11202,2.46130146470348
+Jacinto City,29.7663,-95.241,9734,2.4611430177965
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+San Gaspar Ixchil,15.3833,-91.7167,10581,2.46023576465002
+Chinna Mushidivāda,17.8057,83.2033,13425,2.46016537456817
+Parkstone,50.71,-1.95,10779,2.46012738425824
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+Świętochłowice,50.2919,18.9178,46494,2.45823282343743
+Kursaha,25.5588,85.6875,8680,2.4579013092792
+Lauingen,48.5667,10.4333,11137,2.45767179738127
+Senjān,34.0497,49.6203,10592,2.45737237791001
+Novopavlovka,42.87,74.48,18332,2.4570050976956
+Muri,46.9333,7.4833,13054,2.45696347410773
+Suisun City,38.2473,-122.0091,29436,2.45673789930345
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+Olympia Heights,25.724,-80.3388,13695,2.45556636946724
+Kovūrupalli,14.7772,79.9999,11258,2.45537581590377
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+Kallidaikurichi,8.6859,77.4659,33984,2.45410539296502
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+Lakshmīnārāyanapuram,11.7914,79.5555,12467,2.45372981243314
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+Halstenbek,53.6334,9.8372,17961,2.45273513226777
+Copiague,40.6707,-73.3922,23552,2.45260383858215
+Dumont,40.9452,-73.9923,17965,2.45241354273105
+Raghunāthpur,26.6418,84.8938,10574,2.4517797633413
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+Rāmpur Jalālpur,25.6712,85.8606,16856,2.45130510852668
+Výronas,37.9617,23.7533,61535,2.45124799751447
+Bửu Long,10.96,106.7967,31861,2.45021301428646
+Wallerfangen,49.3278,6.7208,9285,2.44995687168767
+Chakapara,22.63,88.35,35282,2.44927401165271
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+La Queue-en-Brie,48.7894,2.5767,12051,2.44056193385165
+Santo Niño,14.5033,121.0031,34860,2.44042395536856
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+Selargius,39.2537,9.1606,28986,2.43449766001225
+Douar Hammadi,31.6,-8.4667,14227,2.4331821788399
+Tonypandy,51.6223,-3.4512,17789,2.4330317188659
+Fort Hunt,38.7361,-77.0589,16322,2.43293203462551
+Waimalu,21.3913,-157.9345,13818,2.43099703802363
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+Bang Phongphang,13.6791,100.5291,28692,2.42945846206904
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+Ensenada,-34.8644,-57.9103,54463,2.42248369847893
+Pasay City,14.55,121,440656,2.42071467450977
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+Flandes,4.2833,-74.8,29478,2.42028164974578
+Siemianowice Śląskie,50.2758,18.9858,64676,2.417989022234
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+Wangjiaxian,36.5443,104.1496,14400,2.41264112406033
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+Pirque,-33.6333,-70.55,16565,2.40790272530614
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+Ercolano,40.8,14.35,52763,2.31506434039838
+Avellaneda,-34.6625,-58.3678,24313,2.31504098647428
+North Lindenhurst,40.7072,-73.3859,11144,2.31485305627844
+Oud-Turnhout,51.3167,4.9833,13977,2.31430051688967
+Ghordaur,25.7089,86.612,13417,2.31416609803199
+Frattamaggiore,40.9333,14.2833,29738,2.31347557617512
+Saviano,40.9167,14.5167,16182,2.31347557617512
+Manises,39.4833,-0.45,31287,2.31347040341924
+Frimley,51.3143,-0.7387,19094,2.31312880448842
+Mineola,40.747,-73.6394,20837,2.31191175216275
+Macerata Campania,41.0667,14.2667,10507,2.31156576066851
+Valinda,34.04,-117.93,21811,2.31141708828509
+Rāmpur Rajwa,25.7057,86.1781,9531,2.31026040510276
+Suknadānga,24.46,88.05,14027,2.30952723563378
+West Hempstead,40.6959,-73.6507,20729,2.30936443203259
+Jalkaura,25.5034,86.3671,9534,2.30926754845591
+Bina,26.0792,86.6326,15079,2.30753314868786
+Chatou,48.8897,2.1573,30330,2.30735911537231
+Kalaiyamputtūr,10.4542,77.4831,13013,2.30727530229098
+Dhānga,26.463,86.0452,9438,2.30726533088237
+Dunn Loring,38.8945,-77.2315,9251,2.30682005743644
+Ban Mae Kaluang,19.0778,99.927,13502,2.3039668075636
+Barañáin,42.8,-1.6667,19853,2.30308438467628
+Village St. George,30.3598,-91.0672,8786,2.30249277844477
+Belo,25.8747,86.8855,15576,2.30051621936659
+Bharhopur,25.9488,84.5274,9903,2.29850193979701
+Colonial Park,40.2987,-76.8069,16132,2.29818412424842
+Shanhūr,25.8604,32.7779,9314,2.29676129913266
+Maranga,25.7592,87.4665,29549,2.29674200921604
+Saint-Maur-des-Fossés,48.7994,2.4997,75298,2.2963591868495
+Kanyākulam,8.2012,77.4015,8591,2.29604418728694
+Capulhuac,19.2,-99.4667,30838,2.29411238805169
+Ulhāsnagar,19.22,73.15,506098,2.29378858036512
+Mafamude,41.1152,-8.6036,38940,2.29231006400445
+Perumpāndi,10.9808,79.3839,9241,2.29155171654452
+Viswanāthaperi,9.3359,77.45,12079,2.29042705579185
+San Mauro Pascoli,44.1,12.4167,11929,2.28976913403712
+Tibbar,31.9697,75.4159,11692,2.28923549867885
+Ban Wiang Phan,20.4128,99.8853,11569,2.28900350770713
+Pulivalam,10.7525,79.6352,8698,2.28796095862557
+Riorges,46.0428,4.0406,10848,2.28727825016469
+Greasley,53.02,-1.27,11014,2.28508453207766
+Bobigny,48.9106,2.4397,54363,2.2846937944741
+Bimāwān,25.5111,84.4946,9086,2.28433881344646
+Dudhpura,25.7964,86.1189,10059,2.28381929212936
+Pantin,48.8966,2.4017,59846,2.28349252880732
+Camaligan,13.6208,123.1656,25036,2.28315566944598
+Woolton,53.374,-2.865,12921,2.28243059278823
+Tân Vạn,10.9119,106.8261,14086,2.2814670775846
+Kurichchi,11.7276,78.4102,8878,2.28131899478326
+La Riviera,38.5683,-121.3544,11723,2.28083890409746
+Plankstadt,49.3933,8.5942,10321,2.27998367979901
+Lodi,40.8784,-74.0814,25983,2.27973636755986
+Bondoufle,48.6133,2.3806,10046,2.2796107043704
+Highland Park,32.8311,-96.8012,8895,2.27870129397987
+Santa Margherita Ligure,44.3333,9.2167,9124,2.27837293487793
+Kandanūr,10.1037,78.8254,8520,2.27723179163355
+Wallasey,53.4158,-3.0233,60284,2.2766226094716
+Kālipatnam,16.3904,81.5295,11839,2.27556070791696
+Bromborough,53.336,-2.978,14850,2.27548665511935
+Brummen,52.0833,6.15,20884,2.27542124990954
+Turgutalp,39.1833,27.5833,9838,2.27536531247065
+Erquelinnes,50.3101,4.1219,9940,2.27323877995831
+Ewa Beach,21.3181,-158.0073,14614,2.27302355443668
+Vaux-le-Pénil,48.5264,2.6822,11101,2.27268655860108
+Csömör,47.55,19.2333,10200,2.27227794079375
+San Mateo,14.6969,121.1219,273306,2.27158263300763
+Vaires-sur-Marne,48.8742,2.6381,13383,2.27033397012268
+Kunitachi,35.6839,139.4414,75133,2.26989581859534
+Bull Run,38.7802,-77.5204,16709,2.26948155388879
+Kharagbani,26.4852,86.3073,9377,2.26921804484531
+West Babylon,40.7129,-73.3585,43397,2.26839216674581
+Ickenham,51.558,-0.4484,10387,2.26694565069925
+North Haledon,40.9628,-74.1844,8893,2.26648799664065
+Varedo,45.6,9.1667,13446,2.26623347573517
+Quinto di Treviso,45.65,12.1667,9912,2.26556962103337
+Dollis Hill,51.5641,-0.2341,14425,2.26454766260485
+San Donato Milanese,45.4167,9.2667,32664,2.264410713698
+Barahbatta,25.7727,85.7522,9653,2.26438675235648
+Oostzaan,52.4333,4.8833,9757,2.26431399735247
+Ladenburg,49.4667,8.6167,12076,2.26400214057708
+Mestrino,45.45,11.7667,11502,2.26397347695978
+Tanant,31.8667,-6.95,10706,2.26297054278618
+Stevenston,55.645,-4.758,9230,2.26280085136425
+Cinisello Balsamo,45.55,9.2167,75723,2.26265999538493
+Novate Milanese,45.5333,9.1333,20003,2.26265999538493
+Cormano,45.55,9.1667,20019,2.26265999538485
+Muggiò,45.6,9.2333,23581,2.26178352635569
+Notre-Dame-de-l'Île-Perrot,45.3667,-73.9333,10756,2.26023954768555
+Morrisville,40.2074,-74.78,9675,2.2600426840818
+Bāra Khurd,25.2599,85.4325,10059,2.25973351918653
+Rock Ferry,53.373,-3.008,14298,2.25922165838422
+Bois-d’Arcy,48.8014,2.0317,15325,2.25915746224248
+Edam,52.5167,5.05,18828,2.25904136157374
+Pescantina,45.4833,10.8667,17236,2.25890794171883
+Alderwood Manor,47.8146,-122.2672,10359,2.2576766213061
+Ez Zahra,36.7439,10.3083,34962,2.25753452806995
+Tiruttangal,9.4833,77.8333,22265,2.25714292286733
+Biassono,45.6333,9.2667,12164,2.25690920940918
+Olgiate Olona,45.6333,8.8833,12444,2.25690920940918
+Kirchlengern,52.2,8.6331,16111,2.25583630664068
+La Tour-de-Peilz,46.45,6.8667,11829,2.25492638695339
+Concordia Sagittaria,45.7667,12.85,10373,2.25490893408635
+Phra Pradaeng,13.6592,100.5331,10190,2.2545891754881
+Sedriano,45.4833,8.9667,12246,2.25442228379084
+Kingston,41.2652,-75.8876,13304,2.25409892753814
+São Félix,-12.605,-38.9719,15091,2.25342805616945
+Hersham,51.3681,-0.4008,12414,2.25308057986838
+Astley,53.5008,-2.4454,11270,2.25178939284022
+Gurwaliā Biswās,26.8372,84.4687,9882,2.25137516788506
+Lutry,46.5,6.6833,10289,2.24992992813803
+Pāma,25.8122,86.8474,10622,2.24929561063179
+Oadby,52.5987,-1.0763,23849,2.24927640106288
+Ovenden,53.7432,-1.8779,12351,2.2485690348806
+Gangūru,16.4833,80.7333,8768,2.24797910130775
+Pettaivāyttalai,10.9014,78.494,11571,2.24784644240013
+Haddonfield,39.8955,-75.0346,12383,2.24771013351535
+Kriens,47.0333,8.2833,26997,2.2471434824469
+Sūleswaranpatti,10.6388,77.0084,24038,2.24656281619893
+Carthage,36.8528,10.3233,21276,2.24643472883929
+Landecy,46.1834,6.1166,31942,2.24495438848462
+Štúrovo,47.7992,18.7181,10524,2.2443716791762
+Chāndpur,22.4368,88.1711,9066,2.24144979675826
+Oswaldtwistle,53.743,-2.393,11803,2.24136714700511
+Countryside,39.0518,-77.4124,9384,2.24081480373146
+Tilbury,51.4606,0.3582,12450,2.24054548986585
+Aḑ Ḑāli‘,13.6967,44.7308,21783,2.24023722628463
+Chambly,49.1667,2.2481,10174,2.23992628845746
+Santa Rosa de Lima,14.3881,-90.2956,21415,2.23991414564454
+Kloten,47.45,8.5833,19362,2.23759245977144
+Neuri,26.0076,86.1841,13019,2.23750261194211
+Vandiyūr,9.9092,78.1609,29009,2.23738684380697
+Bostonia,32.8189,-116.948,18074,2.23624661891995
+Alamedin,42.89,74.63,11773,2.2355704172882
+Alabang,14.4184,121.0385,71075,2.23536913225744
+Sūrappalli,11.7187,77.8778,16102,2.23512410823392
+Neuhausen am Rheinfall,47.6833,8.6167,10510,2.2342813984487
+Handsworth,53.37,-1.4,9957,2.23384623984037
+Scionzier,46.0572,6.55,8932,2.2335477223912
+Esparraguera,41.5381,1.8692,22365,2.23324379275451
+Puchheim,48.15,11.35,21531,2.23242610563246
+Cuapiaxtla de Madero,18.9167,-97.8167,10101,2.23210849728304
+Conway,28.4968,-81.3316,13630,2.23160312482871
+Urdorf,47.3867,8.4278,9768,2.23152205803183
+Sannois,48.9722,2.2578,26565,2.23136942160482
+Ocean Pointe,21.3145,-158.0289,16676,2.23038277215919
+Vīrakeralam,11.0077,76.9126,26392,2.23006705430512
+Neu-Ulm,48.3833,10,59814,2.22907561602651
+Onet Village,44.3656,2.5936,11665,2.22905076882113
+Fulham,51.4828,-0.195,87161,2.22893669367838
+Burbage,52.5277,-1.3483,14568,2.22848624406808
+Wiener Neudorf,48.0856,16.3131,9433,2.22841169938485
+Raba,-8.4614,118.7469,106101,2.22714012040397
+Tettuppatti,10.3979,77.8225,10260,2.22698670161962
+Dar Chabanne,36.47,10.75,35859,2.22682573964755
+Ince-in-Makerfield,53.5402,-2.599,15664,2.22680001532862
+Tam Hiệp,10.9497,106.8575,35747,2.22607441152395
+Great Baddow,51.719,0.507,14650,2.22591212258615
+Palmers Green,51.6178,-0.1092,15162,2.22562430501347
+Elsmere,38.9948,-84.6017,9080,2.22550647242114
+Ancón,8.97,-79.55,29761,2.22389853289132
+San Juan,14.6,121.03,126347,2.22389853289113
+Mahiari,22.59,88.24,18223,2.22389853289113
+Masallı,39.0342,48.6656,14746,2.22300774452145
+Ciudad Lerdo,25.55,-103.5167,79669,2.22046568703933
+Western Springs,41.8023,-87.9006,13550,2.22033464056362
+Sue,33.5872,130.5072,28489,2.22013584326121
+Neubiberg,48.0833,11.6833,14538,2.21994588339052
+Lilio,14.13,121.436,39491,2.21983226965795
+Lizzanello,40.3051,18.2213,11934,2.21936137608891
+Tiruvalam,12.9825,79.2661,10475,2.21928205851863
+Oberursel,50.2033,8.5769,46660,2.21863830387697
+Cruzeiro do Sul,-29.5128,-51.985,12320,2.21839111532569
+Tamm,48.9167,9.1167,12685,2.21814040316727
+Vigneux-sur-Seine,48.7001,2.417,31463,2.21608615274822
+Charlton Kings,51.8877,-2.0413,10396,2.21551844493347
+Bruges,44.8828,-0.6125,19403,2.21515559186898
+Casatenovo,45.6983,9.3117,13042,2.21366995394031
+Saint-Ouen,48.9123,2.3342,50697,2.21351983381171
+Dugny,48.9536,2.4164,11073,2.21344502492868
+Villemomble,48.8833,2.5,30405,2.2133117824518
+Andanappettai,10.7498,79.8226,8519,2.21306038646509
+Lachhmīpur,25.5248,87.3667,10688,2.21265173073862
+Yedtare,13.9246,74.6171,12104,2.21237143716781
+Warfield,51.442,-0.737,10088,2.21214668228663
+Panchkula,30.74,76.8,211355,2.21124867214556
+Mettuppālaiyam,11.4503,77.5682,12031,2.21103202628751
+La Grange Park,41.8308,-87.8723,13501,2.21024380257231
+Nogent-sur-Oise,49.2756,2.4683,20780,2.21022289898587
+Beauchamp,49.0139,2.19,8687,2.2091907786571
+Münster,49.9167,8.8667,14672,2.20872448232781
+Garhara,25.4407,85.9983,24397,2.2080420852501
+Stains,48.95,2.3833,38666,2.20801838892159
+Spiesen-Elversberg,49.3167,7.1331,12850,2.20497528473763
+Baildon,53.851,-1.763,15360,2.20219531981875
+Guozhen,34.3668,107.198,49100,2.20194922495177
+Tipton,52.5259,-2.0751,38777,2.20142528561186
+Kita-ku,35.7528,139.7336,353058,2.20005299262623
+Honganūr,11.94,76.95,8919,2.19915236274991
+Chettikulam,8.0943,77.5614,12438,2.1977220203906
+Concepción Chiquirichapa,14.85,-91.6167,20920,2.1975469327177
+Floral Park,40.7227,-73.7029,16180,2.19635957308167
+Aucamville,43.6686,1.4306,8968,2.19584015582719
+Masandra,44.5167,34.1833,8571,2.19382187155384
+Hāthāpur,26.5609,86.0247,8514,2.19317124754841
+Mont-Saint-Aignan,49.4625,1.0872,19357,2.19287642607391
+Pianezza,45.1058,7.5434,15309,2.19255612390732
+Nayānagar,25.7465,86.1027,10278,2.19233839213387
+Houilles,48.9261,2.1892,32801,2.19214294318612
+Edegem,51.15,4.45,22261,2.19194862557148
+Hemiksem,51.15,4.35,11634,2.19194862557148
+Lanuvio,41.6833,12.7,13580,2.19190748591556
+Baesweiler,50.9,6.1833,27351,2.19179230636629
+Bidston,53.402,-3.078,15216,2.190553846087
+Shevington,53.572,-2.69,9517,2.18973523225591
+Kuilsrivier,-34.0333,18.7,46686,2.18869633838444
+Hyde,53.4474,-2.082,34003,2.18868410461393
+Boechout,51.15,4.4833,13372,2.18825127173578
+Librazhd,41.1833,20.3167,6937,2.18816197676664
+Upper Montclair,40.8433,-74.2006,12033,2.18777968395483
+Southwick,54.9193,-1.4062,10535,2.18667592293135
+Siano,40.8025,14.6944,9883,2.18637171382401
+Bagneux,48.7983,2.3137,40936,2.18569326523485
+Biləcəri,40.4314,49.8081,45008,2.18389144440218
+Perivale,51.5383,-0.3192,15339,2.18382589069086
+Eklahra,22.2036,78.6893,12140,2.18339185304859
+Heule,50.8333,3.2333,10503,2.18326845255747
+Hoogvliet,51.8667,4.35,35575,2.18256582836117
+Bikkatti,11.3741,76.7513,8941,2.18218521687626
+Hyattsville,38.9613,-76.9548,20790,2.18203788035157
+Tōgō,35.0966,137.0525,44065,2.18114354098223
+Kālkuni,14.6,74.8333,8844,2.18004290090131
+Longuenesse,50.7356,2.2372,10736,2.17989335686991
+Nāri Bhadaun,26.0065,86.2509,18345,2.17963567114137
+Beni Enzar,35.2667,-2.9333,56582,2.1790596714309
+Trentola,40.9762,14.1773,19844,2.17898509333108
+Birkenhead,53.393,-3.014,142968,2.17859762834886
+Overpelt,51.2167,5.4167,15478,2.17793464540168
+Belauncha,26.2124,86.3554,11222,2.17761878830209
+Laren,52.25,5.2333,11400,2.17721088243033
+Nakhon Phanom,17.4069,104.7808,26437,2.17689892732949
+Attard,35.8928,14.4383,10930,2.1768970128757
+Kodriva,22.5342,75.7725,13507,2.17591872087187
+Somerville,42.3908,-71.1014,80608,2.17200598229758
+Meudon,48.8123,2.2382,45818,2.1712931196916
+Sakaddi,25.5771,84.7554,8851,2.1688810202403
+Pompei,40.75,14.5,25207,2.16841731310192
+Lye,52.459,-2.116,12346,2.16782473166427
+Palisades Park,40.8472,-73.9966,20291,2.16743408701122
+Montegiardino,43.9089,12.4844,967,2.16514917954878
+Las Piñas City,14.45,120.98,606293,2.16484159753488
+Los Alamitos,33.7971,-118.0592,11780,2.16200277444693
+Katālpur,26.2255,84.7608,10165,2.16105657405464
+Rellingen,53.65,9.8167,14437,2.15874680209531
+Shimeo,33.5914,130.4798,46207,2.15845362044902
+Iselin,40.5697,-74.3172,17684,2.15784512872073
+Maida Babhangāwān,25.4793,86.0669,10582,2.1573200226229
+Pansol,14.6514,121.08,34240,2.15721442671568
+Semri,25.6246,85.7672,9773,2.15695767450832
+Bāra,25.9286,86.5237,10800,2.15687062776098
+Machelen,50.9103,4.4367,15417,2.15612835465542
+Penn,39.7994,-76.9642,17361,2.15578806084167
+Luqa,35.8597,14.4892,5945,2.15513068336904
+Brownhills,52.647,-1.933,12676,2.15496572460547
+Dombāchcheri,9.9604,77.3909,10319,2.1548840586399
+Beaumont,45.7517,3.0831,10793,2.15154455869697
+Chelsea,42.3959,-71.0325,40025,2.15090600063283
+Triesenberg,47.1181,9.5433,2643,2.15021300292362
+Montecchio Emilia,44.6986,10.4486,10578,2.15012590171465
+Bermo,23.7878,85.9353,22396,2.1483080857582
+Colmenarejo,40.5608,-4.0169,9473,2.14808553858794
+Bellerive-sur-Allier,46.1164,3.4042,8741,2.14802857877324
+Büdelsdorf,54.3167,9.6833,10456,2.14662582636168
+Borna,25.4373,86.6172,9321,2.14654030866731
+Sainte-Thérèse,45.6333,-73.85,26025,2.14613554630774
+North Valley Stream,40.684,-73.7077,18345,2.14607864465082
+Magny-le-Hongre,48.8631,2.8136,9107,2.14529551120577
+Thakurainia,26.2098,86.0191,9274,2.14461763279365
+Mittahalli,12.421,78.1991,10615,2.14160299700599
+Lake Park,26.7998,-80.0681,8971,2.14158171962416
+Lanham,38.962,-76.8421,11460,2.14147084046576
+Ermont,48.9922,2.2603,29079,2.14035656386759
+Rivera,-30.9025,-55.5506,64465,2.13941990877711
+Sarmera,25.2564,85.7988,9571,2.13888242333065
+Seyhan,36.9831,35.3328,792536,2.13882008121638
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+Dukinfield,53.4739,-2.0828,19306,1.93903412180453
+Yüreğir,36.9981,35.3439,407054,1.93749005100427
+Krus na Ligas,14.6442,121.0636,21513,1.93747684398288
+Santa Ana,14.58,121.012,203598,1.93705429589722
+Paratdiha,24.1638,86.307,8771,1.93627424864015
+Belgrave,52.6566,-1.1262,11558,1.93600103284938
+Greenlawn,40.8632,-73.3646,15115,1.93372511579917
+Le Bourget,48.9344,2.4244,16139,1.93301384562315
+Ordino,42.555,1.5331,4858,1.93281458633408
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+Audubon,39.8906,-75.0722,8693,1.93194091036696
+Saint-Jean,43.6653,1.505,11017,1.93013629632887
+Leonia,40.8638,-73.99,9283,1.92749257799992
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+Sīlamalai,9.9621,77.3371,10013,1.92619592182941
+Marudūr,10.916,78.4509,13482,1.92618021798642
+Bickley,51.4003,0.0466,13904,1.92573521351087
+Iskapālem,14.5416,79.8925,11272,1.92565689718839
+Panglong,24.1003,98.3139,24565,1.9254864232961
+Le Mée-sur-Seine,48.5333,2.6289,21071,1.92392239396356
+Bures-sur-Yvette,48.6967,2.1614,9577,1.92186278452243
+Oftersheim,49.3706,8.5847,12213,1.92156643908593
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+Mafra,-26.1108,-49.805,52912,1.91976450160857
+Palankottai,9.1356,77.6952,9558,1.9192212402042
+Rānti,26.3519,86.0932,11212,1.91864841557469
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+Voisins-le-Bretonneux,48.7583,2.0508,10921,1.91597691983333
+Adelphi,39.0017,-76.9649,16977,1.9153455497402
+Loeches,40.3833,-3.4,8944,1.91479458330601
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+Makronia,23.8476,78.799,18955,1.91367007808833
+Mattenhof,47.487,8.747,12098,1.9136442474963
+Cudahy,33.9631,-118.183,23003,1.91320780599425
+Mayilādi,8.155,77.5056,11881,1.91289924948941
+Ban Tha Mai I,18.7461,98.9819,16859,1.91036059376821
+Chevilly-Larue,48.7664,2.3533,19988,1.90907262311182
+Corfe Mullen,50.7701,-2.0175,10133,1.90882382061268
+Lohmar,50.8167,7.2167,30452,1.90821979633921
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+Châtenay-Malabry,48.7653,2.2781,34170,1.90502275013482
+El Minié,34.447,35.8178,150000,1.90499635572969
+Barking,51.54,0.08,59068,1.90475425583711
+Moscháto,37.95,23.6667,25441,1.90268991606376
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+Tenambākkam,12.8102,79.7341,12351,1.8998540860853
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+Eckington,53.308,-1.3643,11152,1.89647794590067
+Wallington,51.3647,-0.1403,20850,1.89612851504697
+Le Vésinet,48.8939,2.1322,15943,1.89352666760315
+Agege,6.6219,3.3258,459939,1.89155167293594
+Sedgley,52.54,-2.123,12087,1.89152362278428
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+Pallejá,41.4242,1.9978,11636,1.88798082163017
+Dāchepalle,16.6,79.7333,19042,1.88667075019181
+Santa Ana,14.5277,121.0766,18057,1.88650616725769
+Kingston upon Thames,51.4103,-0.2995,43013,1.88567020514707
+Souq Sebt Says,32.7773,-8.6433,10488,1.8847612271351
+Champāpur,26.8881,84.834,14881,1.8835144183155
+Cherry Creek,39.6094,-104.8645,11389,1.88341492848878
+Plumstead,51.49,0.09,16736,1.88258532447968
+Gamail,25.7062,86.9914,8569,1.88217611158005
+Pulilan,14.902,120.849,108836,1.88145175507365
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+Phulhara,25.8937,86.13,8949,1.87673431525016
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+Gaillard,46.185,6.2075,10419,1.87260258144185
+Vernouillet,48.7208,1.3606,12522,1.87255945463844
+Kāchhāri,22.0732,88.4276,21900,1.87249663351437
+Kāla Diāra,25.5092,85.448,10655,1.87103008771743
+Merchweiler,49.3603,7.06,9905,1.87079633839126
+Mohanpur,25.5507,85.3222,9410,1.87066889328717
+Sohāna,30.6833,76.7,9199,1.869677784047
+Bariyārpur,26.6347,84.9245,12757,1.86958412142543
+Chinnāyagūdem,17.047,81.481,9150,1.8672030794301
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+Malverne,40.6746,-73.6721,8583,1.86538328037661
+Clifton,53.9721,-1.0979,13548,1.86410249618347
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+Goth Tando Sumro,25.45,68.7167,112335,1.85695527496415
+Remedios de Escalada,-34.7167,-58.4,81465,1.85695527496415
+Palaió Fáliro,37.9333,23.7,64021,1.85695527496415
+Dazaifu,33.5167,130.5167,72430,1.85695527496415
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+Nes Ẕiyyona,31.9333,34.8,50200,1.85695527496415
+Cholargós,38,23.8,30840,1.85695527496415
+Agía Varvára,38,23.65,26550,1.85695527496415
+Cernusco sul Naviglio,45.5167,9.3333,34341,1.85695527496415
+Sint-Joost-ten-Node,50.85,4.3833,27497,1.85695527496415
+Adrogue,-34.8,-58.3833,28265,1.85695527496415
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+Frattaminore,40.95,14.2667,16131,1.85695527496415
+Itaosy,-18.9167,47.4667,19041,1.85695527496415
+Ágios Ioánnis Réntis,37.9667,23.6667,16050,1.85695527496415
+Boskoop,52.0667,4.65,15045,1.85695527496415
+Capodrise,41.05,14.3,10133,1.85695527496415
+Adjarra,6.5333,2.6667,97424,1.85695527496415
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+Kontich,51.1333,4.45,21203,1.85695527496415
+Mae Sai,20.4333,99.8833,20699,1.85695527496415
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+Ankilimalinika,-22.95,43.5667,13000,1.85695527496415
+Taurisano,39.95,18.1667,11770,1.85695527496415
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+Parabita,40.05,18.1333,9047,1.85695527496415
+Monteforte d’Alpone,45.4167,11.2833,8917,1.85695527496415
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+Črenšovci,46.5747,16.2937,1151,1.85651458969958
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+Imqabba,35.8442,14.4669,3315,1.85084657202886
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+Nieuw-Lekkerland,51.8833,4.6833,9541,1.84942756590396
+Gandara West,5.95,80.55,12254,1.8469513646661
+Mugalivakkam,13.0205,80.1653,12083,1.84683450544866
+Krimpen aan den IJssel,51.9167,4.5833,29410,1.84583578230011
+Boom,51.0833,4.3667,18555,1.84583578230011
+Wezembeek-Oppem,50.8333,4.5,14021,1.84583578230011
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+Liedekerke,50.8667,4.0833,13188,1.84583578229932
+La Puebla del Río,37.2667,-6.05,11873,1.84583578229932
+Castelletto sopra Ticino,45.7167,8.6333,9969,1.84583578229932
+Kihō,33.7333,136,10404,1.84583578229932
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+Nottampatti,9.9772,77.7177,8506,1.83438463026343
+São Jerônimo,-29.9589,-51.7219,22134,1.83330047395505
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+Wentorf bei Hamburg,53.4931,10.2533,13366,1.78773273230819
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+Anosipatrana,-18.9333,47.5,26107,1.75648831161897
+Gūdalūr,11.1455,76.9366,28995,1.75633515373183
+Pavittiram,11.1406,78.3631,9917,1.7562551962067
+Ankadimanga,-18.9667,47.75,9526,1.75613677954803
+Thames Ditton,51.389,-0.331,9400,1.75560331156256
+Holborn,51.5204,-0.1136,13023,1.75486683660229
+Argelato,44.5758,11.3486,9865,1.75486043813219
+Pottanūr,11.1098,77.9888,18120,1.75481494699603
+Coudekerque-Branche,51.0253,2.3917,20925,1.75374136370944
+Morarano,-19.4333,47.4833,9000,1.75116350793782
+Clichy,48.9044,2.3064,63089,1.74992277154416
+Aesch,47.4694,7.5942,10352,1.7492851684634
+Saint-Paul-lès-Dax,43.7256,-1.0528,13436,1.74917568366243
+Kargahiā Purab,26.7887,84.5298,9922,1.74913690006754
+San Juan Zitlaltepec,19.7167,-99.05,19600,1.74808616774344
+Busia,0.4633,34.1053,30777,1.74768775523787
+Châtillon,48.8,2.29,37010,1.74614882045077
+Maisons-Laffitte,48.9469,2.1456,23611,1.74604140752293
+Bilston,52.566,-2.0728,25576,1.74516092989253
+Allanmyo,19.3783,95.2279,57897,1.74472522012686
+Bustos,14.95,120.9167,77199,1.74431279871007
+Cran-Gévrier,45.9036,6.1039,18330,1.74245843351582
+Sokhodewara,24.8358,85.8725,10599,1.74141873892936
+Western Bicutan,14.5094,121.0381,91158,1.74074166291219
+Ramat Gan,32.07,34.8236,159200,1.73850329564051
+East Rockaway,40.6432,-73.6672,10108,1.73797145540666
+Løgten,56.1643,10.1857,8659,1.73770833656284
+Croxley Green,51.647,-0.445,12562,1.73658395931337
+Saint-Leu-la-Forêt,49.0169,2.2464,16130,1.73643732628298
+Rāmpatti,26.3333,86.15,8763,1.73617891305142
+Tourlaville,49.6408,-1.5789,16040,1.73328776366667
+Willow Grove,40.1469,-75.1174,13958,1.73281366656569
+Malate,14.5642,120.9913,78132,1.73265942746015
+East Rutherford,40.8179,-74.0854,9918,1.72896050695559
+Koekelare,51.0906,2.9803,8784,1.72774730629328
+Choi Hung,22.335,114.2067,18435,1.72739513592386
+Rosny-sous-Bois,48.8667,2.4833,46043,1.72658999916074
+Pahārpur,25.7225,86.6203,9521,1.72577884983455
+Fenton,52.9977,-2.1578,12070,1.72553227230449
+Beldānga,24.8106,87.8864,15265,1.72527987875218
+Praia do Carvoeiro,37.12,-8.46,9987,1.72427176525682
+Kabira,25.6897,86.4852,10589,1.72420412693268
+Peddaboddepalle,17.6606,82.6296,15273,1.72375878479523
+Croissy-sur-Seine,48.8778,2.1422,10031,1.72336645629257
+Pudsey,53.797,-1.663,22408,1.72322253552263
+Cainta,14.5667,121.1167,376933,1.72296957420191
+Maitland,-32.7167,151.55,1885,1.72246250630846
+Bishunpur,25.8029,85.9886,9999,1.72230978658534
+San Pablo,37.9629,-122.3426,31975,1.72101340686568
+Erandio,43.3047,-2.9731,24489,1.72076830445238
+Šempeter pri Gorici,45.9284,13.6378,3694,1.72040944417652
+Avon,48.4089,2.725,13662,1.71982680157668
+Ħamrun,35.8861,14.4894,9244,1.71937412604135
+Ŭiwang,37.3448,126.9683,154879,1.71789460986316
+Sahasmal,26.2461,87.4983,11775,1.717885735608
+Tādigadapa,16.4713,80.697,17090,1.71747523695927
+Sliema,35.9122,14.5042,16854,1.7168992827635
+Būr Fu’ād,31.25,32.3167,70417,1.71672926445431
+Villepreux,48.83,2.0022,11003,1.71655175271785
+Lālsaraia,26.7388,84.6607,11073,1.71523104043924
+Az Zuwāydah,31.4284,34.3659,15483,1.71211508385236
+Satghara,26.3977,86.1678,9108,1.71142599002076
+Sāgarpur,26.2306,86.0732,8512,1.71048644470322
+Bayanan,14.4078,121.05,39150,1.70971449703081
+Wasquehal,50.6694,3.1308,20860,1.70943237635138
+Villiers-le-Bel,49.0094,2.3911,28423,1.708563429021
+Sainte-Savine,48.2947,4.0489,10508,1.70845797218335
+Tatalon,14.6242,121.0153,63129,1.70802776950035
+Əmircan,40.4264,49.9836,29800,1.70721892152355
+Picaña,39.4361,-0.435,11692,1.70555559763759
+Thornaby on Tees,54.5585,-1.3025,24741,1.70530313103817
+Neuville-lès-Dieppe,49.9267,1.1014,9616,1.703539403419
+Bryn,53.499,-2.657,11662,1.70315759528318
+Le Chesnay,48.8203,2.1303,27683,1.70305961047488
+Vimodrone,45.5139,9.2844,17016,1.70225051267061
+Guadalupe,9.9494,-84.0512,20663,1.70195212877398
+Gomparou,11.3,2.4489,12934,1.70101425016752
+North Kensington,39.0393,-77.0723,8771,1.699973931474
+Eccleston,53.4539,-2.7748,10433,1.69845739135174
+Vilanova del Camí,41.5733,1.6381,12736,1.6976484436011
+Mahabo-Mananivo,-23.1833,47.6833,10000,1.696784767989
+Manpaur,26.5081,85.9478,11361,1.69598274375013
+Brunn am Gebirge,48.1069,16.2842,11864,1.69573136274573
+Schellenberg,47.2336,9.5481,1091,1.69475433727347
+Brāhmana Periya Agrahāram,11.369,77.7063,28324,1.69335419542074
+New Silksworth,54.871,-1.3957,10194,1.69271112692082
+Rialma,-15.315,-49.5839,10523,1.6921274345541
+Prestonpans,55.9597,-2.961,10410,1.69166164745379
+Le Raincy,48.8992,2.5231,14708,1.6908909662157
+Hīrākud,21.525,83.8727,34840,1.69019454122569
+Sant’Arpino,40.9575,14.2492,14606,1.68976288527669
+Tullukuttināyakkanūr,9.8149,77.6808,8902,1.68884463372101
+Salisbury,40.7454,-73.5604,12643,1.68877454115557
+Missaglia,45.7,9.3333,8700,1.68810371804605
+Mansāpur,26.5262,86.4101,12859,1.68758608109925
+Morangis,48.7064,2.3347,13453,1.68582007761596
+Luathaha,26.6316,84.9079,10223,1.68560562449796
+West Perrine,25.6061,-80.3639,10093,1.68379150741412
+Ksibet el Mediouni,35.69,10.85,13122,1.68222108584434
+Sykiés,40.65,22.95,37753,1.68216612791774
+Cesa,40.9667,14.2333,9039,1.68195976403669
+Byureghavan,40.3147,44.5936,9513,1.67883198258842
+Yzeure,46.5658,3.3544,12899,1.67870890202685
+Noisiel,48.8547,2.6289,15960,1.67865349282022
+Tall Abyaḑ,36.6975,38.9567,14825,1.67828543470708
+Castellarano,44.5667,10.7833,15326,1.67784889770384
+Bischofsheim,49.989,8.355,13230,1.67592005365832
+Monsey,41.1181,-74.0682,27359,1.67546060589375
+Flower Hill,39.1676,-77.1824,14213,1.67535189935434
+Ujjini,14.91,76.4,10864,1.67454043069353
+Beachwood,39.9286,-74.2022,10863,1.67401304062314
+Küçük Dalyan,36.2167,36.1667,10354,1.67112564386242
+Sint-Amandsberg,51.0539,3.7492,23143,1.67085070224542
+Guntapalli,14.7385,79.04,8677,1.670785549291
+Rasaunk,25.5537,86.5117,11165,1.66904070069266
+Dasaut,25.8997,86.0964,9088,1.66889213232221
+Woodlyn,39.8774,-75.3445,10332,1.66539280601696
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+Estoril,38.7042,-9.3983,26399,1.66360088306612
+Hackney,51.5414,-0.0266,11734,1.66277959332065
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+Mainvilliers,48.4531,1.4619,11127,1.66138198964959
+San Josecito,10.0126,-84.1119,11579,1.660700339787
+Nāngloi Jāt,28.6833,77.0667,150371,1.65961729198988
+Kalingiyam,11.4324,77.4178,12389,1.65778906360047
+Bình Hòa,10.9353,106.8614,23398,1.65684894779392
+Udayendram,12.6962,78.6227,15268,1.6565913476213
+Aberaman,51.7,-3.4333,9964,1.65515397028875
+Muttayyāpuram,8.7498,78.1311,41993,1.65203140877285
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+Putatan,14.3984,121.0364,99725,1.6506998473435
+Thatto Heath,53.4352,-2.7481,12280,1.6504890684904
+San Giorgio a Cremano,40.8333,14.3333,45122,1.64852246873127
+Majhariyā Sheikh,26.7356,84.642,8879,1.6479824150683
+Khāspur,25.6466,84.9936,9535,1.64727032566859
+Mangasamudram,13.2291,79.0909,9146,1.64697136559029
+Martín Coronado,-34.6,-58.55,19121,1.64257986669105
+Montigny-en-Gohelle,50.4278,2.9297,10315,1.64144987102314
+Tunasan,14.3725,121.0364,61374,1.64099362397766
+Nogent-sur-Marne,48.8375,2.4833,34042,1.64085309572799
+Ayutuxtepeque,13.7356,-89.2017,34710,1.6402925190392
+San Sebastián de los Reyes,40.5469,-3.6258,91083,1.63968534677735
+Kirkop,35.8419,14.485,2191,1.63769564431533
+Beaumont-sur-Oise,49.1425,2.2864,9555,1.63723840698298
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+Bourg-la-Reine,48.7796,2.3151,21050,1.63458016881107
+Port Chester,41.0051,-73.668,31317,1.63306036274485
+Coccaglio,45.5633,9.9783,8664,1.63297811303213
+Saint-Mandé,48.8422,2.4186,22377,1.63099689023371
+Mudichchur,12.911,80.0693,8601,1.62997429935361
+Boissy-Saint-Léger,48.7503,2.5097,16977,1.62783898726405
+Malanday,14.7194,120.9547,19060,1.62615714585595
+Marquette-lès-Lille,50.6758,3.0661,10798,1.62363873868611
+Rasulpur Dhuria,25.5693,87.0375,14658,1.6214419530352
+Saint-Cloud,48.84,2.22,30038,1.62007394649445
+Majhaulia,25.9635,85.5738,9084,1.61755657734399
+Lamphun,18.5864,99.0119,12595,1.61681447216595
+Pasrāha,25.3973,86.7034,9300,1.61568548436355
+Koog aan de Zaan,52.4667,4.8,11225,1.61321172851303
+Għasri,36.0583,14.2278,525,1.6127523227581
+Igaraçu do Tietê,-22.5092,-48.5578,24451,1.61262095191892
+Leyton,51.57,-0.015,14184,1.61099827848275
+North Shields,55.0097,-1.4448,34423,1.60958305514242
+Gavá,41.3072,2.0039,46974,1.60948174214877
+Wallingford Center,41.4499,-72.8189,19211,1.6078294595388
+Vannivedu,12.9173,79.353,12161,1.60613174805351
+Frouzins,43.5161,1.3247,9292,1.60449523172048
+Bourg-lès-Valence,44.9475,4.8953,19889,1.60419052403694
+Tonse East,13.3963,74.7217,9896,1.60187067379869
+Rājāsūr,17.86,76.95,16349,1.60152168699722
+Clichy-sous-Bois,48.9102,2.5532,28992,1.60093039168308
+Upper Bicutan,14.4873,121.0503,41216,1.6007677837219
+Chamalières,45.7736,3.0669,17276,1.60024782796236
+Tarogong,-7.215,107.8856,115660,1.599733014193
+Enghien-les-Bains,48.9697,2.3081,11470,1.59667597432347
+Krasnyi Luch,48.1333,38.9333,79533,1.59503962699196
+Bovisio Masciago,45.6167,9.15,16929,1.59389024472842
+Urgnano,45.5972,9.695,9908,1.59382508948292
+Le Plessis-Bouchard,49.0028,2.2367,8514,1.5932425999528
+Leisure World,39.1023,-77.0689,9291,1.59286081301675
+Āndipālaiyam,11.092,77.315,14982,1.59026901117435
+Villeneuve-Tolosane,43.5236,1.3417,10050,1.58638000605006
+Planegg,48.1047,11.4306,11126,1.58400421862804
+Pallappālaiyam,10.9951,77.0845,13065,1.5830804596743
+Vellakkinar,11.0736,76.9566,12899,1.58305000714806
+Harrow on the Hill,51.5655,-0.3327,12270,1.5825893365952
+Livry-Gargan,48.9192,2.5361,45692,1.58113726111182
+Bihārīganj,25.7341,86.9884,12843,1.5807164251996
+Weißenthurm,50.4144,7.4606,9171,1.57998483773587
+Montmorency,48.9906,2.3228,21723,1.57860878618402
+Hathiākān,25.606,84.9997,8619,1.57809128455838
+Sandalpur,25.5639,87.5082,9232,1.57542312904462
+Cullercoats,55.033,-1.433,9202,1.57523004997514
+Banbhāg,25.7919,87.414,9159,1.57504795155782
+Vilāngurichchi,11.0709,77.0178,12043,1.57494700504341
+Le Perreux-Sur-Marne,48.8422,2.5036,33793,1.57489139739008
+Bat Yam,32.0167,34.75,128800,1.57450050005869
+Therwil,47.4997,7.55,9947,1.57290898888699
+Mīnākshipuram,9.9908,77.3709,9539,1.57262927945179
+Baghauni,25.9338,86.0594,11722,1.57168903077579
+Pasupatikovil,10.8893,79.1795,9808,1.57134336285515
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+Dhanur Kalyānwādi,17.77,77.14,10133,1.56909686820341
+Modachchūr,11.4415,77.4288,8554,1.56880411593965
+East Bakersfield,35.3832,-118.9743,11025,1.56708637012463
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+Attūr,8.3224,77.2558,16184,1.56609891000732
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+Collingswood,39.916,-75.0758,14087,1.5652967060698
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+San Juan de Alicante,38.4014,-0.4367,24450,1.56259038350334
+Pastores,14.5967,-90.7547,19661,1.56214665972325
+Sgamna,32.7333,-7.2,10245,1.56206456427567
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+Barton upon Irwell,53.476,-2.36,12462,1.56127003978816
+Chiyoda-ku,35.694,139.7536,67036,1.56114862519026
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+Oulad Ayyad,32.3333,-6.3833,9566,1.55964102435018
+Pitsea,51.569,0.504,25000,1.55953232900835
+Tumberi,12.6986,78.5856,8657,1.55863425987406
+Dar Naim,18.0333,-15.9667,61089,1.55695470121442
+Vubatalai,11.3597,76.7649,14640,1.55547410344008
+Vila Real de Santo António,37.1939,-7.4158,19156,1.55517691287974
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+Wealdstone,51.5957,-0.3352,11394,1.55207523747144
+Qiryat Yam,32.8333,35.0667,39416,1.55096651145272
+Seveso,45.6434,9.1374,23456,1.54941440321455
+Ottappārai,11.1936,77.5964,12154,1.54822501427414
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+San Ramón,-33.5333,-70.6417,94906,1.54789273349109
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+Hammam-Lif,36.7333,10.3333,42518,1.54560948035932
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+Ivangorod,59.3667,28.2167,10453,1.54460180288751
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+Simbach am Inn,48.2667,13.0167,10111,1.54350065689552
+Bayt Jālā,31.715,35.1872,13484,1.54347600100508
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+West New York,40.7857,-74.0094,52485,1.53741925838225
+Viroflay,48.8,2.1722,16752,1.53527198594724
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+La Lucila,-34.4833,-58.4833,15844,1.5306719719722
+Shibuya,35.6536,139.7092,102056,1.52995742010749
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+Haedo,-34.65,-58.6,37745,1.52760664759007
+Chilly-Mazarin,48.7025,2.3125,19858,1.52759661360898
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+Berazategui,-34.7167,-58.25,180523,1.52637652649628
+Lomas de Zamora,-34.7667,-58.4,112580,1.52545304012627
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+Antanambao,-19.6667,47.3333,21000,1.51871978015266
+Bithauli,26.0219,86.0793,9667,1.51848510162925
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+Vincennes,48.8478,2.4392,49788,1.51352398973589
+Dongguan,39.014,111.0768,75135,1.51331842519754
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+Sha Kok Mei,22.3784,114.1941,14522,0.485320786137487
+Pabégou,9.8333,1.5492,10156,0.48231808560798
+Wollaston,52.4619,-2.1663,13092,0.476258006580453
+Satna,24.6005,80.8322,280222,0.475767765778711
+Plainview,14.5777,121.0337,26557,0.473233581305916
+Saraiya,24.8012,84.0816,9060,0.466375068511507
+Kīlkottai,10.2861,77.916,11136,0.464493730384782
+Ekchāri,25.2093,87.2159,9482,0.460872138607517
+Caridad,14.4828,120.8958,27891,0.455582786588398
+Hosan,36.2,127.0833,112939,0.451487811664189
+Tadapurambākkam,13.3205,80.1959,11551,0.447104613480857
+Yakınca,38.3,38.25,10943,0.444157240200707
+Gooty,15.121,77.634,48658,0.443545356568464
+Liuhu,35.5449,106.6801,47442,0.442482016853311
+Vergína,40.5167,22.2,43158,0.43131898420603
+Chalungalpādam,9.6896,76.3388,45102,0.421567271701875
+Mương Theng,21.3869,103.0156,11740,0.416188815616447
+Karor,25.6018,86.093,8899,0.412519581019896
+Baulia,25.399,87.6002,14345,0.411972459058552
+Sääminki,61.8675,28.8786,11710,0.398839089623152
+Santo Cristo,14.6603,121.03,25783,0.394771261033447
+Bariārpur Kāndh,25.9391,85.4674,10924,0.390336676310281
+Frutillar,-41.1258,-73.0605,12876,0.389475058746139
+Shazhou,40.1376,94.6638,44870,0.389275068497435
+Kottá Kalidindi,16.5032,81.2877,18059,0.386386001841116
+San Roque,14.48,120.9011,19335,0.385580857270296
+Guben,51.9533,14.7167,16656,0.366943257926584
+Kawashiri,34.8301,135.4173,152076,0.360013323290317
+Tirupati,13.65,79.4167,3165,0.356579103501262
+Maevatanana,-16.95,46.8333,25928,0.351003071891823
+Guatire,10.4717,-66.5406,187262,0.350841035216429
+Indiana,40.622,-79.1552,13573,0.347434178350939
+Yenkuvārigūdem,16.9989,81.5061,12277,0.34535970985144
+Uppsala,59.8601,17.64,133117,0.343979159831385
+Short Hills,40.7389,-74.3278,14500,0.324945904829531
+Oosterwolde,52.9903,6.2914,9510,0.311345794604829
+Kulpsville,40.244,-75.3407,8775,0.306958172242814
+Quiapo,14.6,120.983,23138,0.302111954604681
+Gharbia,35.5153,-5.9306,12274,0.289742720019616
+Arrapalli,18.0718,79.7386,9546,0.282826879528452
+Timmapuram,17.1036,81.0781,9516,0.279950708928419
+Pedersöre,63.6642,22.7006,11084,0.279558395352661
+Sidmant al Jabal,29.0856,30.9344,13119,0.277187504174863
+Kāza,16.3887,80.5412,10146,0.25271953047708
+Nāgāwaram,17.4875,78.6035,12006,0.243928290932126
+Buddayyakota,13.6593,78.2632,26191,0.234899872242539
+Antarvedipālem,16.3319,81.732,14162,0.208512095155174
+Wadlakonda,17.7736,79.575,13715,0.201493563921459
+Ahermoumou,33.8184,-4.4106,12654,0.186346279746134
+Smithville,39.4929,-74.4801,9127,0.167673010758456
+Zaladanki,14.8843,79.9125,12471,0.164611510588331
+Māmidālapādu,15.831,78.05,26694,0.111194926644497
+Sai Wan Ho,22.2877,114.1365,12985,0.105953487000479
+Ksar Lmajaz,35.8428,-5.5586,10237,0.100075433979475
+Allūru,15.1317,78.5131,29789,0.0934705472488273
+Bububu,-6.1658,39.1992,15666,0.09166257304363
+Bougado,41.337,-8.559,21585,0.0669898816799083
+Marudūr,11.2346,76.9064,10701,0.0645106909658548
+Bagong Silangan,14.7094,121.1,106886,0.0642815532066845
+Chiran,31.3783,130.4416,13667,0.0624674123257452
+Wepangandla,15.9359,77.8417,10463,0.0617044923335347
+Jangalapalle,14.8844,79.9107,10088,0.0549331943931471
+Şatrovka,39.9319,48.9203,58253,0.0444779706577198
+Rājapūdi,17.183,82.05,9267,0.0333584779932899
+Locogahoué,6.8,1.783,8567,0.0331238180503654
+Koja,26.3344,127.8057,58658,0.0243697377833399
+Algarrobo,-33.3911,-71.6928,10217,0.0240990784732591
+Shibukawa,36.3894,139.0633,73064,0.01427471735202
+Ngerulmud,7.5006,134.6242,271,0.0110243486641515
diff --git a/src/eurad/stations.py b/src/eurad/stations.py
new file mode 100644
index 0000000000000000000000000000000000000000..13a1ebda403399ba019f0e0d82ab5d3a03eccfd6
--- /dev/null
+++ b/src/eurad/stations.py
@@ -0,0 +1,49 @@
+import os
+from typing import List
+
+import pandas as pd
+
+
+class Stations():
+
+    def __init__(self):
+
+        self.stations = None  # List[Dict[str, str]]
+
+    def get_stations(self):
+        return self.stations
+
+    def get_station_list(self):
+        station_list = []
+        for key in self.stations.keys():
+            station_list.append(f"{key}, {self.stations[key]['name']}")
+
+        return station_list
+
+    def get_station(self, code: str):
+        station = None
+        try:
+            station = self.stations[code]
+        except KeyError:
+            pass
+        return station
+
+    def read_stations(self, csv_file, country="DE", state="NW") -> List:
+        # stations_file_path = "src/assets/stations.csv"
+        # nc_file should be the netcdf file
+        # where it read the current position of the grid, and give it back
+        directory = os.path.dirname(__file__)
+        stations_file_path = os.path.join(directory, "assets", csv_file)
+        stations = pd.read_csv(stations_file_path)
+        data_dict = stations.set_index('codes').to_dict(orient='index')
+        data_dict_cleaned = {
+            key.strip("[]").replace("'", ""): value
+            for key, value in data_dict.items()
+        }
+
+        filtered_stations = {
+            key: value
+            for key, value in data_dict_cleaned.items()
+            if key.startswith(f"{country}{state}")
+        }
+        self.stations = filtered_stations
diff --git a/src/eurad/time_series.py b/src/eurad/time_series.py
new file mode 100644
index 0000000000000000000000000000000000000000..022e05e665a6e6cb7254f086da4a71f30da50ae4
--- /dev/null
+++ b/src/eurad/time_series.py
@@ -0,0 +1,46 @@
+import matplotlib.pyplot as plt
+import pandas as pd
+
+import eurad.convert_units as cu
+from eurad.eurad_vis import Visualization
+
+
+class TimeSeries(Visualization):
+
+    def set_coordinates(self, lat: float, lon: float):
+        self.lat = lat
+        self.lon = lon
+
+    def plot(self, timestamp=None, figsize=(6, 3)):
+
+        plt.figure(figsize=figsize)
+
+        lat = self.station["coordinates_lat"]
+        lon = self.station["coordinates_lng"]
+
+        time_series = self.eurad.get_time_series(self.species, lat, lon,
+                                                 height=self.height_layer,
+                                                 unit=self.target_unit)
+        time_series.plot.line(marker="o")
+
+
+
+        #plt.plot(values, marker="o")
+
+        # Customize the plot if needed
+        plt.title(f'{self.species}: {self.station["name"]}')
+        plt.xlabel('Time (Month, Day, Hour)')
+        plt.xticks(rotation=45)
+        plt.ylabel(f'Concentration ({self.target_unit})')
+        if timestamp:
+            timestamp = pd.Timestamp(timestamp)
+            plt.axvline(x=timestamp,
+                        color='r',
+                        linestyle='--')
+        plt.grid(True)
+        plt.tight_layout()
+
+        if self.img_dir:
+            plt.savefig(self.img_dir + "{}_{}.png".format(self.species, self.height))
+        else:
+            plt.savefig(self.output_file_name)
diff --git a/src/eurad_plot.py b/src/eurad_plot.py
index ac385f60ccae46922387021e29dbc4db57e4a183..8b4eb8871b4ab8e854058d51328c88775bc43e9e 100644
--- a/src/eurad_plot.py
+++ b/src/eurad_plot.py
@@ -1,7 +1,6 @@
 import os
 import eurad.eurad_vis as ev
 from eurad.eurad_netcdf import EURAD_netCDF
-from eurad.info import generate_time_series_plot, get_available_stations
 from eurad.stations import Stations
 # just to make it run
 from pathlib import Path
@@ -73,10 +72,12 @@ def get_euradim_plot(language_id, jobnr, timestep, species, station, ldiff, ltar
             ev.plot_area(nc_file, species, timestep, output_path, unit=unit, station=station, lang=lang)
 
     return os.path.join("assets", "generated_plots", "eurad", output_file)
-        # path relative to website root (src)
 
 
-def get_timeseries_plot(language_id, jobnr, station, species, timestep):
+def get_timeseries_plot(language_id, jobnr, timestep, species, station, ldiff):
+
+    # for the demonstrator, all plots should be done in "ug/m**3"
+    unit="ug/m**3"
 
     lang = "en"
     if language_id == 1:
@@ -91,17 +92,21 @@ def get_timeseries_plot(language_id, jobnr, station, species, timestep):
     infile = str(DATA_PATH.joinpath(f'{jobnr}.nc'))
 
     if station:
-        station = station.split(',')[0]  # extract station code
-    output_file = "job_{}_station_{}_species_{}_time_{}_{}.png".format(jobnr, station, species, timestep, language_id)
-    output_path = str(ASSETS_PATH.joinpath(output_file))
-    # Pfad relativ zu mlworkflowinterface
-
-    if not os.path.isfile(output_path):
-        # Erstellen eines Dummy-Plots mit matplotlib
-        filename = infile
-        # print("plotting time series:", jobnr, timestep, species, station)
-        # time series have no language package (yet)
-        generate_time_series_plot(filename, output_path, station, species, timestamp=timestep, figsize=(5,3))
+        station_code = station.split(',')[0]  # extract station code
+        station = get_station_coordinates(station_code)
+
+    nc_file = EURAD_netCDF(infile)
+    if ldiff:
+        output_file = "job_{}_station_{}_species_{}_time_{}_diff_{}.png".format(jobnr, station_code, species, timestep, language_id)
+        output_path = str(ASSETS_PATH.joinpath(output_file))
+        base_file = str(DATA_PATH.joinpath(f'base_{jobnr}.nc'))
+        base_nc_file = EURAD_netCDF(base_file)
+        if not os.path.isfile(output_path):
+            ev.plot_timeseries_diff(nc_file, base_nc_file, species, station, output_path, time=timestep, unit=unit, lang=lang)
+    else:
+        output_file = "job_{}_station_{}_species_{}_time_{}_{}.png".format(jobnr, station_code, species, timestep, language_id)
+        output_path = str(ASSETS_PATH.joinpath(output_file))
+        if not os.path.isfile(output_path):
+            ev.plot_timeseries(nc_file, species, station, output_path, time=timestep, unit=unit, lang=lang)
 
     return os.path.join("assets", "generated_plots", "eurad", output_file)
-        # path relative to website root (src)
diff --git a/src/latlon2grid/latlon2grid.py b/src/latlon2grid/latlon2grid.py
new file mode 100644
index 0000000000000000000000000000000000000000..17a81adc58823869fd47a3a446d327cfe6da6fa2
--- /dev/null
+++ b/src/latlon2grid/latlon2grid.py
@@ -0,0 +1,218 @@
+import logging
+from collections.abc import Iterable
+from typing import Tuple, Union
+
+import netCDF4 as nc4
+import numpy as np
+import xarray as xr
+from joblib import Parallel, delayed
+
+
+def latlon2grid(
+        lat: Union[float, Iterable],
+        lon: Union[float, Iterable],
+        data: Union[xr.Dataset, str, nc4.Dataset],
+        ipoint: int) -> Tuple[int, int]:
+    """
+    Transform latitude and longitude for a given netcdf dataset into grid coordinates
+
+    Args:
+        yLAT (float): latidude value
+        yLON (float): longitude value
+        dataset : represents a xarray dataset object
+        IPOINT (int):   0: Calculate dot point coordinates, Crossing of cell walls
+                        1: Calculate cross point coordinates, i.e. Centers of Cells
+                        Output XX=1.0 means, spot is in the x-center of box [yy,xx=1]
+                        while XX=0.5 means, spot is located on the western boundary of
+                        box [yy,XX=1]
+
+    Returns:
+        Tuple (x,y) -> Grid coordinates
+    """
+    if isinstance(data, xr.Dataset):
+        ds = data
+    elif isinstance(data, str):
+        ds = xr.open_dataset(data)
+    elif isinstance(data, nc4.Dataset):
+        ds = xr.open_dataset(xr.backends.NetCDF4DataStore(data))
+    else:
+        logging.info("wrong data fomat")
+        return 0,0
+
+    if isinstance(lat, Iterable) == isinstance(lon, Iterable):
+        if isinstance(lat, Iterable) and isinstance(lon, Iterable):
+            # data = np.array(list(map(lambda lat_intern, lon_intern: __xarray_to_latlon2grid(lat_intern, lon_intern, ds.attrs, ipoint), lat, lon)))
+            data = np.array(Parallel(n_jobs=4)(delayed(__xarray_to_latlon2grid)(lat_, lon_, ds.attrs, ipoint) for (lat_, lon_) in zip(lat, lon)))
+            ret = data[:, 0], data[:, 1]
+        else:
+            ret = __xarray_to_latlon2grid(lat, lon, ds.attrs, ipoint)
+    else:
+        logging.info("please provide lat and lon as the same type")
+        ret = (0, 0)
+
+    return ret
+
+
+def __xarray_to_latlon2grid(yLAT: float, yLON: float, attributes: dict, IPOINT: int):
+    """
+    main function to get the grid coordinates
+    """
+
+    NEST = np.zeros((3, 4), dtype=float)
+    GRID = np.zeros((4), dtype=float)
+    YLON = [yLON]
+    YLAT = [yLAT]
+
+    # getting all attributes from dataset
+    IPROJ = attributes["projection"]
+
+    dx = attributes["dx"]
+    # dy = attributes["dy"]
+    nxm = attributes["nxm"]
+    nym = attributes["nym"]
+
+    NESTLEV = attributes["nest_level"]
+
+    NEST[0] = attributes["grid_ratio"][0:NEST.shape[1]]
+    NEST[1] = attributes["inxs"][0:4]
+    NEST[2] = attributes["jnxs"][0:4]
+    NEST[1, 0] = nxm
+    NEST[2, 0] = nym
+
+    GRID[0] = dx * np.prod(NEST[0][0:NESTLEV + 1]) * 1000
+    GRID[1] = attributes["cenlat"]
+    GRID[2] = attributes["cenlon"]
+
+    # check projection
+    # LAMCON is (projection = 1)
+    if (IPROJ == 1):
+        GRID[3] = 1.0
+    else:
+        logging.info('Unknown projection in latlon2grid: ', IPROJ)
+        exit(0)
+
+    # START
+
+    CONV = 57.29578
+    A = 6370.          # RADIUS OF EARTH IN KM (as used by MM5)
+
+    # compute coarse grid coordinate of domain lower left
+    NDXX = 1
+    IOFF = 0
+    JOFF = 0
+
+    XX = np.zeros((len(YLON)), dtype=float)
+    YY = np.zeros((len(YLON)), dtype=float)
+
+    for N in range(NESTLEV, 0, -1):
+        I0 = np.fix(NEST[0, N] / 2)
+        J0 = I0
+        IOFF += NDXX * I0
+        JOFF += NDXX * J0
+        NDXX = NDXX * NEST[0, N]
+        IOFF += NDXX * (NEST[1, N] - 1)
+        JOFF += NDXX * (NEST[2, N] - 1)
+    # number of coarse grid dot points in x/y-direction
+    IMAX = (NEST[1, 0] + 1) * NDXX - (NDXX - 1)
+    JMAX = (NEST[2, 0] + 1) * NDXX - (NDXX - 1)
+
+    # grid resolution of this domain
+    DX = 1.0E-3 * GRID[0] / NDXX
+
+    DNXD = (DX * (IMAX - 1)) * 0.5
+    DNYD = (DX * (JMAX - 1)) * 0.5
+    DNXC = (DX * (IMAX - 2)) * 0.5
+    DNYC = (DX * (JMAX - 2)) * 0.5
+
+    XN = -1.0E36
+    XROT = 0.0
+    if(GRID[1] < 0.0):
+        SIGN = -1.               # SOUTHERN HEMISPHERE
+    else:
+        SIGN = 1.               # NORTHERN HEMISPHERE
+
+    if (round(GRID[3]) == 1):
+        TRUELAT1 = SIGN * 60.0
+        TRUELAT2 = SIGN * 30.0
+        XN = np.log10(np.cos(TRUELAT1 / CONV)) - np.log10(np.cos(TRUELAT2 / CONV))
+        XN /= (np.log10(np.tan((45.0 - 0.5 * SIGN * TRUELAT1) / CONV)) - np.log10(np.tan((45.0 - 0.5 * SIGN * TRUELAT2) / CONV)))
+    elif (round(GRID[3]) == 2):
+        XN = 1.0
+    elif (round(GRID[3]) != 3):
+        print('wrong projection specifier ', GRID[3], ' in latlon2grid')
+
+    if (round(GRID[3]) != 3):
+        XROT = GRID[2] + 90.0 / XN
+
+    POLE = 90.0
+    PSI1 = 1.0E36
+    # PSI1 IS COLATITUDE OF LAT WHERE CONE OR PLANE INTERSECTS EARTH
+    if (round(GRID[3]) == 1):
+        PSI1 = 30.0
+    if (round(GRID[3]) == 2):
+        PSI1 = 30.0
+    if (round(GRID[3]) != 3):
+        PSI1 /= CONV
+
+    if (GRID[1] < 0.0):
+        PSI1 = -30.0
+        POLE = -90.0
+        PSI1 = PSI1 / CONV
+    PSI0 = (POLE - GRID[1]) / CONV
+
+    # FOR LAMBERT CONFORMAL AND POLAR STEREOGRAPHIC
+    if (round(GRID[3]) != 3):
+        CELL1 = np.tan(0.5 * PSI1)
+        CELL3 = np.tan(0.5 * PSI0) / CELL1
+        if (GRID[3] == 1):
+            CELL = A * np.sin(PSI1) / XN
+
+        for N in range(len(YLON)):
+            # SUBTRACT XROT DEGREES TO ROTATE LAMBERT CONFORMAL PROJECTION
+            FLPP = (float(YLON[N]) - XROT) / CONV
+            FLP = XN * FLPP
+            PSX = (POLE - float(YLAT[N])) / CONV
+            if (round(GRID[3]) == 1):
+                CELL2 = np.tan(PSX / 2.0) / CELL1
+            if (round(GRID[3]) == 2):
+                CELL = A * np.sin(PSX) / XN
+                CL3 = 1.0 + np.cos(PSX)
+                if(CL3 < 0.01):
+                    CL3 = 0.01
+                CELL2 = (1.0 + np.cos(PSI1)) / CL3
+            R = CELL * CELL2**XN
+            RR = CELL * CELL3**XN
+            XX[N] = R * np.cos(FLP)
+            if (GRID[1] < 0.0):
+                XX[N] = -XX[N]
+            YY[N] = R * np.sin(FLP) + RR
+
+    # FOR MERCATOR, THE PROJECTION IS TRUE AT LATITUDE PHI1
+    else:
+        PHI1 = 0.0
+        PHI1 /= CONV
+        C2 = A * np.cos(PHI1)
+        for N in range(len(YLON)):
+            PHIR = YLAT[N] / CONV
+            CELL = np.cos(PHIR) / (1.0 + np.sin(PHIR))
+            XX[N] = C2 * (YLON[N] - GRID[2]) / CONV
+            YY[N] = -C2 * np.log(CELL)
+
+    if(IPOINT == 0):
+        for N in range(len(YLON)):
+            XX[N] = (XX[N] + DNXD) / DX + 1.0
+            YY[N] = (YY[N] + DNYD) / DX + 1.0
+
+    else:
+        for N in range(len(YLON)):
+            XX[N] = (XX[N] + DNXC) / DX + 1.0
+            YY[N] = (YY[N] + DNYC) / DX + 1.0
+
+    # THIS CALCULATION REFERS TO CTM-Coordinates from e.g. 1...IMAX
+    for N in range(len(YLON)):
+        XX[N] -= float(IOFF)
+        YY[N] -= float(JOFF)
+    XXX = round(XX[0]) - 1
+    YYY = round(YY[0]) - 1
+
+    return (XXX, YYY)
diff --git a/src/pages/dashboard.py b/src/pages/dashboard.py
index f8607354b6bfbc37c955fb9933047116018cae40..027a8d588145b520e3e760558a3ba0b6404d8b10 100644
--- a/src/pages/dashboard.py
+++ b/src/pages/dashboard.py
@@ -416,7 +416,7 @@ def update_image(selected_time_step, selected_variable, selected_station, ltarge
         lldiff = True if ((application == 2) and ldiff) else False
 
         image_path = get_euradim_plot(language_id, jobnr, selected_time_step, selected_variable, selected_station, lldiff, lltarget)
-        timeseries_image_path = get_timeseries_plot(language_id, jobnr, selected_station, selected_variable, selected_time_step)
+        timeseries_image_path = get_timeseries_plot(language_id, jobnr, selected_time_step, selected_variable, selected_station, lldiff)
 
         first_image = html.Img(src=image_path, className='image-fit-container')
         second_image = html.Img(src=timeseries_image_path, className='image-fit-container')
@@ -455,7 +455,7 @@ def generate_eurad_im_output_body(language_id, context, jobnr):
         start_date = pd.to_datetime(timestep_strings[0]).strftime(guitr.date_format3[language_id])
         fc_length_str = "{} {}{}".format(fc_length, guitr.day_label[language_id], guitr.day_plural_label[language_id] if fc_length > 1 else "")
 
-        variables_list = info.get_available_variables(infile)
+        variables_list = nc_file.get_species()
         # for unit conversion, PRS and TEM were added
         variables_list.remove('PRS')
         variables_list.remove('TEM')
@@ -589,7 +589,7 @@ def generate_eurad_scen_output_body(language_id, context, jobnr):
         start_date = pd.to_datetime(timestep_strings[0]).strftime(guitr.date_format3[language_id])
         fc_length_str = "{} {}{}".format(fc_length, guitr.day_label[language_id], guitr.day_plural_label[language_id] if fc_length > 1 else "")
 
-        variables_list = info.get_available_variables(infile)
+        variables_list = nc_file.get_species()
         # for unit conversion, PRS and TEM were added
         variables_list.remove('PRS')
         variables_list.remove('TEM')