diff --git a/HISTORY.rst b/HISTORY.rst index f205854..e372f84 100644 --- a/HISTORY.rst +++ b/HISTORY.rst @@ -16,7 +16,7 @@ TODO 0.4.10.dev0 ----------- -* Fix *french sheep* dataset country of origin using reverse geocoding (`#112 `__) +* Fix issues with samples using reverse geocoding (`#112 `__) * Manage python packages with `poetry `__ (`#128 `__) * Add data for Guisandesa goats (`#117 `) * Rename ``manifacturer`` into ``manufacturer`` diff --git a/Makefile b/Makefile index 373564c..9507c28 100644 --- a/Makefile +++ b/Makefile @@ -174,7 +174,7 @@ data: requirements --datafile 41598_2017_7382_MOESM2_ESM/barbato_sheep_metadata.xlsx --code_column code --breed_column breed_x \ --fid_column code --country_column country_x $(PYTHON_INTERPRETER) src/data/import_breeds.py --species_class Sheep --src_dataset Ciani_2020.zip \ - --datafile 8947346/ciani_2020_metadata.xlsx --code_column code --breed_column breed \ + --datafile 8947346/ciani_2020_metadata_fix.xlsx --code_column code --breed_column breed \ --fid_column fid --country_column country $(PYTHON_INTERPRETER) src/data/import_breeds.py --species_class Sheep --src_dataset northwest_africa_sheep.zip \ --datafile northwest_africa_sheep/belabdi_2019_metadata.xlsx --code_column code --breed_column breed \ @@ -326,7 +326,7 @@ data: requirements --datafile 41598_2017_7382_MOESM2_ESM/barbato_sheep_metadata.xlsx --code_column code --id_column original_id \ --chip_name IlluminaOvineSNP50 --country_column country_x --sex_column sex $(PYTHON_INTERPRETER) src/data/import_samples.py --src_dataset Ciani_2020.zip \ - --datafile 8947346/ciani_2020_metadata.xlsx --code_column fid --id_column original_id \ + --datafile 8947346/ciani_2020_metadata_fix.xlsx --code_column fid --id_column original_id \ --chip_name IlluminaOvineSNP50 --country_column country --species_column species $(PYTHON_INTERPRETER) src/data/import_samples.py --src_dataset northwest_africa_sheep.zip \ --datafile northwest_africa_sheep/belabdi_2019_metadata.xlsx --code_column fid --id_column original_id \ @@ -594,7 +594,7 @@ data: requirements --metadata_column sample_accession --metadata_column sample_provider --metadata_column closest_city \ --metadata_column closest_locality --metadata_column estimated_age_months --metadata_column sampling_date $(PYTHON_INTERPRETER) src/data/import_metadata.py --src_dataset Ciani_2020.zip \ - --datafile 8947346/ciani_2020_metadata.xlsx --id_column original_id \ + --datafile 8947346/ciani_2020_metadata_fix.xlsx --id_column original_id \ --latitude_column latitude --longitude_column longitude --metadata_column region \ --metadata_column Type $(PYTHON_INTERPRETER) src/data/import_metadata.py --src_dataset northwest_africa_sheep.zip \