This is an automatically generated PR.
The following steps are all automatically performed:
Fetch raw data
Map raw data to DwC standard and save the output in ./data/processed
Get an overview of the changes
Run some tests, e.g. check the uniqueness of occurrenceID, check that all occurrences have a eventID and scientificName, ...
Note to the reviewer: the workflow automation is still in a development phase. Please, check the output thoroughly before merging to main. In case, improve the data fecthing fetch_data.Rmd, the mapping dwc_mapping.Rmd, both in ./src or the GitHub workflows fetch-data.yaml and mapping_and_testing.yaml in ./.github/workflows.
Brief description
This is an automatically generated PR. The following steps are all automatically performed:
./data/processedoccurrenceID, check that all occurrences have aeventIDandscientificName, ...Note to the reviewer: the workflow automation is still in a development phase. Please, check the output thoroughly before merging to
main. In case, improve the data fecthingfetch_data.Rmd, the mappingdwc_mapping.Rmd, both in./srcor the GitHub workflowsfetch-data.yamlandmapping_and_testing.yamlin./.github/workflows.