diff --git a/.gitignore b/.gitignore
index d2a41f322a41f6c51d5daecf291eafacf7fde4ef..f7cc33b4343cf6b1cbdd61a8f934971adedfeec8 100644
--- a/.gitignore
+++ b/.gitignore
@@ -14,3 +14,4 @@ notTracked/
 *.swp
 log/
 */log/
+.venv
diff --git a/examples/quality_controll.ipynb b/examples/quality_controll.ipynb
index dc44b438f1a2553e9e348204e770073fc4ac3c6d..b3ad13bcb96baf064ec9e4699977d89057db4c68 100644
--- a/examples/quality_controll.ipynb
+++ b/examples/quality_controll.ipynb
@@ -204,7 +204,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.5"
+   "version": "3.11.7"
   }
  },
  "nbformat": 4,
diff --git a/pyproject.toml b/pyproject.toml
index 3a1df3c3901f48453b3a8f4bfe15e847cd84f922..51d4d7cc7a688866f2574db1390385a8a0760e77 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -48,6 +48,7 @@ installer = "uv"
 extra-dependencies = [
   "jupyter",
   "ipykernel",
+  "cartopy"
 ]
 
 [tool.hatch.envs.hatch-static-analysis]
diff --git a/src/toargridding/contributors.py b/src/toargridding/contributors.py
new file mode 100644
index 0000000000000000000000000000000000000000..6374a43d15f89ccc10b740f57c4b394b8fd655ab
--- /dev/null
+++ b/src/toargridding/contributors.py
@@ -0,0 +1,25 @@
+
+
+class contributors:
+    def __init__(self, requestID, endpoint="not yet defined"):
+        self.requestID = requestID
+        self.timeseriesIDs = set()
+        self.endpoint = endpoint
+    def get_contributors_endpoint(self):
+        #TODO here, is the latest point to decide, if we need to provide an endpoint or a curl command to upload a time series id file
+        pass
+    def get_offline_command(self):
+        # write time series IDs to file
+        # save file
+        return f"curl {self.endpoint} -file {self.requestID}.contributors"
+    def get_service_contributors(self):
+        # TODO: missing implementation
+        raise NotImplementedError("This has not been implemented as this package is not yet operated as a service.")
+    def add_timeseries(self, id):
+        self.timeseriesIDs.add(id)
+    def add_many_timeseries(self, ids):
+        for id in ids:
+            self.timeseriesIDs.add(id)
+
+
+
diff --git a/src/toargridding/grids.py b/src/toargridding/grids.py
index ca501eeef770df49207d28a206a1ac1e327e1d66..1bd176ffe3692f546d3c2e2bd5f943673d60eefd 100644
--- a/src/toargridding/grids.py
+++ b/src/toargridding/grids.py
@@ -157,9 +157,7 @@ class RegularGrid(GridDefinition):
         cell_indices = self.as_cell_index(coords)
 
         # will convert cell_indices to float as some nans ar present
-        print(data)
         data_with_indices = data.join(cell_indices.to_frame(GridDefinition.cell_index_name), how="outer")
-        print(data)
 
         return data_with_indices.groupby(GridDefinition.cell_index_name)
 
diff --git a/src/toargridding/static_metadata/global_cf_attributes.json b/src/toargridding/static_metadata/global_cf_attributes.json
index bab7e034ef99a335e56a03dd391ff8e4d94dc869..25c30a37eef124e370693f6d3977a939dbcaed03 100644
--- a/src/toargridding/static_metadata/global_cf_attributes.json
+++ b/src/toargridding/static_metadata/global_cf_attributes.json
@@ -12,7 +12,6 @@
     "publisher_email": "info@toar-data.org",
     "publisher_url": "https://toar-data.fz-juelich.de/",
     "contributor_name": "ask Martin, namen",
-    "contributor_role": "ask Martin",
     "institution": "The Tropospheric Ozone Assessment Report (TOAR) Data Centre, Research Centre Jülich, Jülich, Germany",
     "project": "TOAR-II",
     "creator_type": "institution",
diff --git a/src/toargridding/toar_rest_client.py b/src/toargridding/toar_rest_client.py
index 2b2229438b15a43fcd261db7a436e35e401881f0..33a122b2f709decfc9c30ea472dc6e5d5741de74 100644
--- a/src/toargridding/toar_rest_client.py
+++ b/src/toargridding/toar_rest_client.py
@@ -429,6 +429,7 @@ class AnalysisService:
         timeseries, timeseries_metadata = self.get_timeseries_and_metadata(metadata)
         coords = self.get_clean_coords(timeseries_metadata)
         timeseries = self.get_clean_timeseries(timeseries, metadata)
+        print(timeseries)
         return AnalysisRequestResult(timeseries, coords, metadata)
 
     def get_timeseries_and_metadata(self, metadata: Metadata) -> tuple[pd.DataFrame, pd.DataFrame]: