| { |
| "houspa_abundance": { |
| "path": "birds/houspa_abundance.parquet", |
| "description": "Full-year mean relative abundance of House Sparrow (Passer domesticus) on an H3 hexagon grid (~26 km cells, resampled from eBird's native 27 km grid). One row per hexagon; the `abundance_mean` column is the modelled average count of individuals detected on a standard eBird checklist, averaged across all 52 weeks of the year. Predicted-absent (zero abundance) cells are excluded, so every row is a location where the species is predicted to occur. Use for mapping where this species occurs and how densely, and for choropleth abundance maps.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "", |
| "tags": [ |
| "abundance", |
| "birds", |
| "ebird", |
| "h3", |
| "biodiversity", |
| "wildlife", |
| "hexagons", |
| "species-distribution", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 26321, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -176.90570558366576, |
| -55.15578381436259, |
| 178.94721940671087, |
| 71.48728007387427 |
| ], |
| "last_indexed": "2026-07-27T17:37:55.955078", |
| "last_enriched": "2026-07-27T17:38:03.131236" |
| }, |
| "eurbla_range": { |
| "path": "birds/eurbla_range.parquet", |
| "description": "Seasonal range boundaries for Eurasian Blackbird (Turdus merula) as polygons, one per season (breeding, nonbreeding, prebreeding_migration, postbreeding_migration), each with the season's start and end dates. Use for showing where the species is found in a given season, comparing breeding versus wintering ranges, and clipping or filtering other layers to a species' range.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains spatial range polygons defining the seasonal geographic distribution of the Eurasian Blackbird (Turdus merula) for 2023. It delineates the species' spatial extents across distinct lifecycle periods, including breeding, nonbreeding, and migratory seasons. Common use cases include seasonal distribution mapping, habitat conservation planning, and avian species range analysis.", |
| "tags": [ |
| "boundaries", |
| "polygon", |
| "ebird", |
| "biodiversity", |
| "wildlife", |
| "ecology", |
| "range", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "species_code", |
| "scientific_name", |
| "common_name", |
| "prediction_year", |
| "type", |
| "season", |
| "start_date", |
| "end_date", |
| "geometry" |
| ], |
| "row_count": 4, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "MultiPolygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -176.8190572135299, |
| -51.083096781244386, |
| 178.73268191835868, |
| 70.11067021796191 |
| ], |
| "last_indexed": "2026-07-27T17:36:32.689525", |
| "last_enriched": "2026-07-27T17:36:40.003010" |
| }, |
| "supfai1_range": { |
| "path": "birds/supfai1_range.parquet", |
| "description": "Seasonal range boundaries for Superb Fairywren (Malurus cyaneus) as polygons, one per season (breeding, nonbreeding, prebreeding_migration, postbreeding_migration), each with the season's start and end dates. Use for showing where the species is found in a given season, comparing breeding versus wintering ranges, and clipping or filtering other layers to a species' range.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains seasonal range boundary polygons for the Superb Fairywren (*Malurus cyaneus*) based on 2023 eBird Status and Trends modeled predictions across its range in southeastern Australia and Tasmania. It includes detailed metadata on seasonal distribution periods, start and end dates, and species taxonomy. Common use cases include avian biodiversity mapping, seasonal range extent visualization, habitat conservation planning, and ecological spatial analysis.", |
| "tags": [ |
| "species", |
| "boundaries", |
| "ebird", |
| "biodiversity", |
| "polygons", |
| "wildlife", |
| "australia", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "species_code", |
| "scientific_name", |
| "common_name", |
| "prediction_year", |
| "type", |
| "season", |
| "start_date", |
| "end_date", |
| "geometry" |
| ], |
| "row_count": 1, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "MultiPolygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| 134.97647498996346, |
| -43.78451978165591, |
| 153.80214518893493, |
| -23.009789515574052 |
| ], |
| "last_indexed": "2026-07-27T17:43:19.810173", |
| "last_enriched": "2026-07-27T17:43:27.257634" |
| }, |
| "eurbla_regional": { |
| "path": "birds/eurbla_regional.parquet", |
| "description": "Regional seasonal statistics for Eurasian Blackbird (Turdus merula), one row per region per season. NON-SPATIAL attribute table (no geometry \u2014 results from it cannot be mapped directly; join to an administrative boundary table to map them). `region_type` is either 'country' or 'state' ('state' covers states, provinces and equivalent subdivisions). `region_code` is a 3-letter ISO country code for countries (e.g. 'USA', 'CAN', 'MEX') and COUNTRY-SUBDIVISION for states (e.g. 'USA-CA' for California, 'USA-NY', 'CAN-ON'); `region_name` is the plain name (e.g. 'Alabama'). To get US states use WHERE region_type = 'state' AND region_code LIKE 'USA-%'. `season` is one of breeding, nonbreeding, prebreeding_migration, postbreeding_migration (or 'resident'), so filter or aggregate by season \u2014 summing across seasons double-counts. Measures: `abundance_mean`, `total_pop_percent` and `continent_pop_percent` (share of population), `range_occupied_percent`, `range_total_percent`, `range_days_occupation`, `max_week` and `max_week_percent_pop` (week of peak abundance). Use for ranking or charting which countries or states hold the most of this species.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains regional-level non-spatial statistics for the Eurasian Blackbird (*Turdus merula*) summarized across administrative boundaries globally, including countries and continents. It provides seasonal biodiversity metrics such as mean relative abundance, global and continental population percentages, range occupation rates, and peak residency timing across 7,864 records. Common use cases include administrative-level conservation planning, regional habitat prioritization, and evaluating seasonal avian population distributions.", |
| "tags": [ |
| "administrative", |
| "boundaries", |
| "statistics", |
| "biodiversity", |
| "wildlife", |
| "population", |
| "conservation" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "species_code", |
| "region_type", |
| "region_code", |
| "region_name", |
| "continent_code", |
| "continent_name", |
| "season", |
| "abundance_mean", |
| "total_pop_percent", |
| "continent_pop_percent", |
| "range_occupied_percent", |
| "range_total_percent", |
| "range_days_occupation", |
| "max_week", |
| "max_week_percent_pop", |
| "common_name", |
| "scientific_name" |
| ], |
| "row_count": 7864, |
| "category": "birds", |
| "format": "parquet", |
| "geometry_type": null, |
| "crs": null, |
| "bbox": null, |
| "last_indexed": "2026-07-27T17:36:40.706819", |
| "last_enriched": "2026-07-27T17:36:49.160460" |
| }, |
| "supfai1_regional": { |
| "path": "birds/supfai1_regional.parquet", |
| "description": "Regional seasonal statistics for Superb Fairywren (Malurus cyaneus), one row per region per season. NON-SPATIAL attribute table (no geometry \u2014 results from it cannot be mapped directly; join to an administrative boundary table to map them). `region_type` is either 'country' or 'state' ('state' covers states, provinces and equivalent subdivisions). `region_code` is a 3-letter ISO country code for countries (e.g. 'USA', 'CAN', 'MEX') and COUNTRY-SUBDIVISION for states (e.g. 'USA-CA' for California, 'USA-NY', 'CAN-ON'); `region_name` is the plain name (e.g. 'Alabama'). To get US states use WHERE region_type = 'state' AND region_code LIKE 'USA-%'. `season` is one of breeding, nonbreeding, prebreeding_migration, postbreeding_migration (or 'resident'), so filter or aggregate by season \u2014 summing across seasons double-counts. Measures: `abundance_mean`, `total_pop_percent` and `continent_pop_percent` (share of population), `range_occupied_percent`, `range_total_percent`, `range_days_occupation`, `max_week` and `max_week_percent_pop` (week of peak abundance). Use for ranking or charting which countries or states hold the most of this species.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains regional non-spatial statistics for the Superb Fairywren (Malurus cyaneus) across national and subnational geographic boundaries in Australia. It summarizes seasonal metrics including mean relative abundance, occupied range percentages, and regional population proportions across administrative units. Common use cases include regional conservation planning, administrative biodiversity reporting, and tracking seasonal population distribution shifts across jurisdictions.", |
| "tags": [ |
| "administrative", |
| "boundaries", |
| "statistics", |
| "biodiversity", |
| "seasonal", |
| "wildlife", |
| "population", |
| "australia" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "species_code", |
| "region_type", |
| "region_code", |
| "region_name", |
| "continent_code", |
| "continent_name", |
| "season", |
| "abundance_mean", |
| "total_pop_percent", |
| "continent_pop_percent", |
| "range_occupied_percent", |
| "range_total_percent", |
| "range_days_occupation", |
| "max_week", |
| "max_week_percent_pop", |
| "common_name", |
| "scientific_name" |
| ], |
| "row_count": 8, |
| "category": "birds", |
| "format": "parquet", |
| "geometry_type": null, |
| "crs": null, |
| "bbox": null, |
| "last_indexed": "2026-07-27T17:43:27.904953", |
| "last_enriched": "2026-07-27T17:43:36.800952" |
| }, |
| "supfai1_seasonal": { |
| "path": "birds/supfai1_seasonal.parquet", |
| "description": "Per-season relative abundance of Superb Fairywren (Malurus cyaneus) on an H3 hexagon grid (~59 km cells). Long format: one row per hexagon PER SEASON, with a `season` column taking values breeding, nonbreeding, prebreeding_migration and postbreeding_migration (or `resident` for non-migratory species), and `abundance_mean` giving that season's modelled abundance. Predicted-absent cells are excluded. Use this for any question about seasonal or temporal change \u2014 where the species winters versus breeds, how its distribution shifts through the year, or migration patterns. Filter with WHERE season = '...' to map a single season, or return all seasons to compare them on one map.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "```sql\nSELECT common_name, scientific_name, ST_Extent(geometry) as bbox\nFROM supfai1_seasonal\nGROUP BY common_name, scientific_name;\n```Guessed Unknown Message Type", |
| "tags": [ |
| "abundance", |
| "birds", |
| "ebird", |
| "h3", |
| "biodiversity", |
| "seasonal", |
| "wildlife", |
| "species-distribution", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "season", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 129, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| 133.78688167866164, |
| -44.56218804276971, |
| 154.5678475382588, |
| -22.20301933187565 |
| ], |
| "last_indexed": "2026-07-27T17:43:37.493367", |
| "last_enriched": "2026-07-27T17:43:44.729112" |
| }, |
| "eurbla_seasonal": { |
| "path": "birds/eurbla_seasonal.parquet", |
| "description": "Per-season relative abundance of Eurasian Blackbird (Turdus merula) on an H3 hexagon grid (~59 km cells). Long format: one row per hexagon PER SEASON, with a `season` column taking values breeding, nonbreeding, prebreeding_migration and postbreeding_migration (or `resident` for non-migratory species), and `abundance_mean` giving that season's modelled abundance. Predicted-absent cells are excluded. Use this for any question about seasonal or temporal change \u2014 where the species winters versus breeds, how its distribution shifts through the year, or migration patterns. Filter with WHERE season = '...' to map a single season, or return all seasons to compare them on one map.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains H3 hexagonal grid cells detailing the modelled seasonal relative abundance and geographic occurrence of the Eurasian Blackbird (Turdus merula). It covers the species' spatial distribution across distinct life-history seasons, including breeding, nonbreeding, and migratory periods. Common use cases include seasonal species distribution modeling, tracking migratory range shifts, and informing avian conservation planning.", |
| "tags": [ |
| "birds", |
| "modelled", |
| "h3", |
| "biodiversity", |
| "seasonal", |
| "ecology", |
| "grid", |
| "species-distribution", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "season", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 5057, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -177.97517495853026, |
| -52.752260831993574, |
| 178.98444335520082, |
| 70.63457266939447 |
| ], |
| "last_indexed": "2026-07-27T17:36:49.953636", |
| "last_enriched": "2026-07-27T17:36:58.723369" |
| }, |
| "baleag_regional": { |
| "path": "birds/baleag_regional.parquet", |
| "description": "Regional seasonal statistics for Bald Eagle (Haliaeetus leucocephalus), one row per region per season. NON-SPATIAL attribute table (no geometry \u2014 results from it cannot be mapped directly; join to an administrative boundary table to map them). `region_type` is either 'country' or 'state' ('state' covers states, provinces and equivalent subdivisions). `region_code` is a 3-letter ISO country code for countries (e.g. 'USA', 'CAN', 'MEX') and COUNTRY-SUBDIVISION for states (e.g. 'USA-CA' for California, 'USA-NY', 'CAN-ON'); `region_name` is the plain name (e.g. 'Alabama'). To get US states use WHERE region_type = 'state' AND region_code LIKE 'USA-%'. `season` is one of breeding, nonbreeding, prebreeding_migration, postbreeding_migration (or 'resident'), so filter or aggregate by season \u2014 summing across seasons double-counts. Measures: `abundance_mean`, `total_pop_percent` and `continent_pop_percent` (share of population), `range_occupied_percent`, `range_total_percent`, `range_days_occupation`, `max_week` and `max_week_percent_pop` (week of peak abundance). Use for ranking or charting which countries or states hold the most of this species.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains regional-level seasonal statistics for the Bald Eagle (Haliaeetus leucocephalus) across administrative boundaries, including countries and subnational jurisdictions across its North American range. It provides key metrics such as mean relative abundance, total and continental population percentages, and seasonal range occupancy duration. This data is commonly used for regional conservation planning, jurisdictional biodiversity reporting, and evaluating seasonal population reliance across political divisions.", |
| "tags": [ |
| "administrative", |
| "boundaries", |
| "statistics", |
| "biodiversity", |
| "seasonal", |
| "wildlife", |
| "population", |
| "conservation" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "species_code", |
| "region_type", |
| "region_code", |
| "region_name", |
| "continent_code", |
| "continent_name", |
| "season", |
| "abundance_mean", |
| "total_pop_percent", |
| "continent_pop_percent", |
| "range_occupied_percent", |
| "range_total_percent", |
| "range_days_occupation", |
| "max_week", |
| "max_week_percent_pop", |
| "common_name", |
| "scientific_name" |
| ], |
| "row_count": 276, |
| "category": "birds", |
| "format": "parquet", |
| "geometry_type": null, |
| "crs": null, |
| "bbox": null, |
| "last_indexed": "2026-07-27T17:34:25.534665", |
| "last_enriched": "2026-07-27T17:34:33.619309" |
| }, |
| "rthhum_regional": { |
| "path": "birds/rthhum_regional.parquet", |
| "description": "Regional seasonal statistics for Ruby-throated Hummingbird (Archilochus colubris), one row per region per season. NON-SPATIAL attribute table (no geometry \u2014 results from it cannot be mapped directly; join to an administrative boundary table to map them). `region_type` is either 'country' or 'state' ('state' covers states, provinces and equivalent subdivisions). `region_code` is a 3-letter ISO country code for countries (e.g. 'USA', 'CAN', 'MEX') and COUNTRY-SUBDIVISION for states (e.g. 'USA-CA' for California, 'USA-NY', 'CAN-ON'); `region_name` is the plain name (e.g. 'Alabama'). To get US states use WHERE region_type = 'state' AND region_code LIKE 'USA-%'. `season` is one of breeding, nonbreeding, prebreeding_migration, postbreeding_migration (or 'resident'), so filter or aggregate by season \u2014 summing across seasons double-counts. Measures: `abundance_mean`, `total_pop_percent` and `continent_pop_percent` (share of population), `range_occupied_percent`, `range_total_percent`, `range_days_occupation`, `max_week` and `max_week_percent_pop` (week of peak abundance). Use for ranking or charting which countries or states hold the most of this species.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains non-spatial seasonal population and range statistics for the Ruby-throated Hummingbird across various administrative regions, including countries, continents, and subnational jurisdictions. It summarizes key ecological metrics such as seasonal mean abundance, global and continental population percentages, and range occupancy duration. These data are ideal for jurisdictional conservation planning, evaluating regional stewardship responsibilities, and analyzing seasonal migration patterns across administrative boundaries.", |
| "tags": [ |
| "administrative", |
| "birds", |
| "statistics", |
| "regional", |
| "biodiversity", |
| "migration", |
| "population", |
| "conservation" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "species_code", |
| "region_type", |
| "region_code", |
| "region_name", |
| "continent_code", |
| "continent_name", |
| "season", |
| "abundance_mean", |
| "total_pop_percent", |
| "continent_pop_percent", |
| "range_occupied_percent", |
| "range_total_percent", |
| "range_days_occupation", |
| "max_week", |
| "max_week_percent_pop", |
| "common_name", |
| "scientific_name" |
| ], |
| "row_count": 512, |
| "category": "birds", |
| "format": "parquet", |
| "geometry_type": null, |
| "crs": null, |
| "bbox": null, |
| "last_indexed": "2026-07-27T17:40:28.845415", |
| "last_enriched": "2026-07-27T17:40:37.583047" |
| }, |
| "amerob_abundance": { |
| "path": "birds/amerob_abundance.parquet", |
| "description": "Full-year mean relative abundance of American Robin (Turdus migratorius) on an H3 hexagon grid (~26 km cells, resampled from eBird's native 27 km grid). One row per hexagon; the `abundance_mean` column is the modelled average count of individuals detected on a standard eBird checklist, averaged across all 52 weeks of the year. Predicted-absent (zero abundance) cells are excluded, so every row is a location where the species is predicted to occur. Use for mapping where this species occurs and how densely, and for choropleth abundance maps.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains spatial H3 hexagonal grid cells detailing the modelled mean relative abundance of the American Robin (Turdus migratorius). It covers the species' predicted geographic distribution, providing standardized avian density metrics across a discrete global grid system. Common use cases include mapping bird distribution patterns, evaluating habitat suitability, and supporting regional biodiversity assessments and conservation planning.", |
| "tags": [ |
| "environment", |
| "h3", |
| "biodiversity", |
| "wildlife", |
| "species-distribution", |
| "avian", |
| "relative-abundance", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 10476, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -169.04720848052722, |
| 15.729944076879361, |
| -52.035541048765126, |
| 70.7364179163706 |
| ], |
| "last_indexed": "2026-07-27T17:32:36.447228", |
| "last_enriched": "2026-07-27T17:32:43.149937" |
| }, |
| "eurrob1_range": { |
| "path": "birds/eurrob1_range.parquet", |
| "description": "Seasonal range boundaries for European Robin (Erithacus rubecula) as polygons, one per season (breeding, nonbreeding, prebreeding_migration, postbreeding_migration), each with the season's start and end dates. Use for showing where the species is found in a given season, comparing breeding versus wintering ranges, and clipping or filtering other layers to a species' range.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains seasonal distribution range polygons for the European Robin (*Erithacus rubecula*) generated from 2023 spatial predictions. It delineates spatial boundaries across distinct seasonal periods, including breeding, nonbreeding, and migratory ranges within the species' distribution scope. The data is commonly used for avian biodiversity monitoring, species range extent analysis, seasonal migration mapping, and habitat conservation planning.", |
| "tags": [ |
| "boundaries", |
| "predictions", |
| "biodiversity", |
| "seasonal", |
| "wildlife", |
| "conservation", |
| "range", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "species_code", |
| "scientific_name", |
| "common_name", |
| "prediction_year", |
| "type", |
| "season", |
| "start_date", |
| "end_date", |
| "geometry" |
| ], |
| "row_count": 4, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "MultiPolygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -28.908188228389818, |
| 27.71559831663265, |
| 61.97070074861417, |
| 70.09088345387235 |
| ], |
| "last_indexed": "2026-07-27T17:37:19.778642", |
| "last_enriched": "2026-07-27T17:37:27.654822" |
| }, |
| "barswa_abundance": { |
| "path": "birds/barswa_abundance.parquet", |
| "description": "Full-year mean relative abundance of Barn Swallow (Hirundo rustica) on an H3 hexagon grid (~26 km cells, resampled from eBird's native 27 km grid). One row per hexagon; the `abundance_mean` column is the modelled average count of individuals detected on a standard eBird checklist, averaged across all 52 weeks of the year. Predicted-absent (zero abundance) cells are excluded, so every row is a location where the species is predicted to occur. Use for mapping where this species occurs and how densely, and for choropleth abundance maps.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains modeled relative abundance data for the Barn Swallow (Hirundo rustica) represented across continuous H3 hexagonal spatial grid cells. Each cell provides spatial geometry, H3 index attributes, and the predicted mean relative abundance expected on standard birding checklists. It is primarily used for avian distribution mapping, ecological spatial modeling, and biodiversity assessment across the species' range.", |
| "tags": [ |
| "abundance", |
| "modeled", |
| "biodiversity", |
| "ecology", |
| "wildlife", |
| "grid", |
| "h3", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 47944, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -166.2933235821975, |
| -55.147510845224026, |
| 144.47276553683824, |
| 71.5837905964871 |
| ], |
| "last_indexed": "2026-07-27T17:34:52.599937", |
| "last_enriched": "2026-07-27T17:35:00.883408" |
| }, |
| "rthhum_seasonal": { |
| "path": "birds/rthhum_seasonal.parquet", |
| "description": "Per-season relative abundance of Ruby-throated Hummingbird (Archilochus colubris) on an H3 hexagon grid (~59 km cells). Long format: one row per hexagon PER SEASON, with a `season` column taking values breeding, nonbreeding, prebreeding_migration and postbreeding_migration (or `resident` for non-migratory species), and `abundance_mean` giving that season's modelled abundance. Predicted-absent cells are excluded. Use this for any question about seasonal or temporal change \u2014 where the species winters versus breeds, how its distribution shifts through the year, or migration patterns. Filter with WHERE season = '...' to map a single season, or return all seasons to compare them on one map.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains spatial H3 hexagonal grid cells representing modeled seasonal relative abundance for the Ruby-throated Hummingbird across its geographic range. It details variations in abundance across different seasonal periods, including breeding, non-breeding, and migratory seasons. Common use cases include tracking seasonal avian migration patterns, analyzing species density variations, and supporting biodiversity conservation and habitat management efforts.", |
| "tags": [ |
| "seasonal-migration", |
| "h3-grid", |
| "ebird", |
| "biodiversity", |
| "ecology", |
| "wildlife", |
| "species-distribution", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "season", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 1969, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -120.8834421116231, |
| 7.254986079895192, |
| -58.34947469785496, |
| 56.75671573264552 |
| ], |
| "last_indexed": "2026-07-27T17:40:38.458526", |
| "last_enriched": "2026-07-27T17:40:47.409684" |
| }, |
| "eurbla_abundance": { |
| "path": "birds/eurbla_abundance.parquet", |
| "description": "Full-year mean relative abundance of Eurasian Blackbird (Turdus merula) on an H3 hexagon grid (~26 km cells, resampled from eBird's native 27 km grid). One row per hexagon; the `abundance_mean` column is the modelled average count of individuals detected on a standard eBird checklist, averaged across all 52 weeks of the year. Predicted-absent (zero abundance) cells are excluded, so every row is a location where the species is predicted to occur. Use for mapping where this species occurs and how densely, and for choropleth abundance maps.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains spatial relative abundance predictions for the Eurasian Blackbird (*Turdus merula*) structured across an H3 hexagonal grid system. Each hexagonal cell provides modeled mean relative abundance estimates representing the species' predicted geographic distribution and occurrence density. It is primarily used for species distribution modeling, habitat suitability analysis, avian biodiversity monitoring, and spatial conservation planning.", |
| "tags": [ |
| "abundance", |
| "environment", |
| "ebird", |
| "biodiversity", |
| "wildlife", |
| "grid", |
| "species-distribution", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 7905, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -176.90570558366576, |
| -52.80655943448441, |
| 178.94721940671087, |
| 70.05474356794392 |
| ], |
| "last_indexed": "2026-07-27T17:36:24.691672", |
| "last_enriched": "2026-07-27T17:36:31.958155" |
| }, |
| "baleag_seasonal": { |
| "path": "birds/baleag_seasonal.parquet", |
| "description": "Per-season relative abundance of Bald Eagle (Haliaeetus leucocephalus) on an H3 hexagon grid (~59 km cells). Long format: one row per hexagon PER SEASON, with a `season` column taking values breeding, nonbreeding, prebreeding_migration and postbreeding_migration (or `resident` for non-migratory species), and `abundance_mean` giving that season's modelled abundance. Predicted-absent cells are excluded. Use this for any question about seasonal or temporal change \u2014 where the species winters versus breeds, how its distribution shifts through the year, or migration patterns. Filter with WHERE season = '...' to map a single season, or return all seasons to compare them on one map.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains H3 hexagonal spatial grid cells depicting the seasonal relative abundance and distribution of the Bald Eagle (*Haliaeetus leucocephalus*) across its range. Each cell provides mean predicted abundance metrics categorized by season alongside spatial geometries. It is primarily used for avian conservation planning, seasonal habitat modeling, and analyzing spatial species distribution dynamics over time.", |
| "tags": [ |
| "abundance", |
| "h3-grid", |
| "biodiversity", |
| "wildlife", |
| "conservation", |
| "avian", |
| "species-distribution", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "season", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 4746, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -178.16891171452028, |
| 23.98520024904719, |
| 180.22573918145787, |
| 70.83931940398371 |
| ], |
| "last_indexed": "2026-07-27T17:34:34.419729", |
| "last_enriched": "2026-07-27T17:34:43.307607" |
| }, |
| "barswa_range": { |
| "path": "birds/barswa_range.parquet", |
| "description": "Seasonal range boundaries for Barn Swallow (Hirundo rustica) as polygons, one per season (breeding, nonbreeding, prebreeding_migration, postbreeding_migration), each with the season's start and end dates. Use for showing where the species is found in a given season, comparing breeding versus wintering ranges, and clipping or filtering other layers to a species' range.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains seasonal spatial range boundaries and temporal metadata for the Barn Swallow (Hirundo rustica) derived from 2023 eBird Status and Trends modeled data. It delineates the species' geographic extent across key life-cycle stages, including breeding, nonbreeding, and migratory seasons. Common use cases include analyzing seasonal distribution shifts, evaluating migratory connectivity across international boundaries, and planning species-specific habitat conservation strategies.", |
| "tags": [ |
| "boundaries", |
| "ebird", |
| "biodiversity", |
| "seasonal", |
| "wildlife", |
| "conservation", |
| "range", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "species_code", |
| "scientific_name", |
| "common_name", |
| "prediction_year", |
| "type", |
| "season", |
| "start_date", |
| "end_date", |
| "geometry" |
| ], |
| "row_count": 4, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "MultiPolygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -166.10047602993507, |
| -54.7057309814682, |
| 144.40972266691915, |
| 71.28313557554816 |
| ], |
| "last_indexed": "2026-07-27T17:35:01.841842", |
| "last_enriched": "2026-07-27T17:35:10.241642" |
| }, |
| "amerob_range": { |
| "path": "birds/amerob_range.parquet", |
| "description": "Seasonal range boundaries for American Robin (Turdus migratorius) as polygons, one per season (breeding, nonbreeding, prebreeding_migration, postbreeding_migration), each with the season's start and end dates. Use for showing where the species is found in a given season, comparing breeding versus wintering ranges, and clipping or filtering other layers to a species' range.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains seasonal range boundary polygons for the American Robin (*Turdus migratorius*) modeled for the year 2023. It delineates spatial extents across various life-cycle phases, including breeding, nonbreeding, and seasonal migration periods. Common use cases include avian conservation planning, seasonal range mapping, migration tracking, and ecological impact assessments.", |
| "tags": [ |
| "birds", |
| "boundaries", |
| "ornithology", |
| "seasonal-range", |
| "biodiversity", |
| "ecology", |
| "conservation", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "species_code", |
| "scientific_name", |
| "common_name", |
| "prediction_year", |
| "type", |
| "season", |
| "start_date", |
| "end_date", |
| "geometry" |
| ], |
| "row_count": 4, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "MultiPolygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -168.29850737829838, |
| 15.923335174047775, |
| -52.55154480630344, |
| 70.41420394813107 |
| ], |
| "last_indexed": "2026-07-27T17:32:43.889894", |
| "last_enriched": "2026-07-27T17:32:51.900903" |
| }, |
| "rthhum_abundance": { |
| "path": "birds/rthhum_abundance.parquet", |
| "description": "Full-year mean relative abundance of Ruby-throated Hummingbird (Archilochus colubris) on an H3 hexagon grid (~26 km cells, resampled from eBird's native 27 km grid). One row per hexagon; the `abundance_mean` column is the modelled average count of individuals detected on a standard eBird checklist, averaged across all 52 weeks of the year. Predicted-absent (zero abundance) cells are excluded, so every row is a location where the species is predicted to occur. Use for mapping where this species occurs and how densely, and for choropleth abundance maps.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains an H3 hexagonal grid representing modeled relative abundance for the Ruby-throated Hummingbird (Archilochus colubris) across its geographic range. Each record includes spatial geometry, cell resolution metadata, and mean relative abundance indices derived from eBird observational data. It is primarily used for avian species distribution modeling, ecological spatial analysis, habitat density mapping, and regional conservation planning.", |
| "tags": [ |
| "birds", |
| "environment", |
| "ebird", |
| "h3", |
| "biodiversity", |
| "ecology", |
| "grid", |
| "species-distribution", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 4046, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -120.8834421116231, |
| 7.649664871448781, |
| -58.363428151927494, |
| 56.65225286869838 |
| ], |
| "last_indexed": "2026-07-27T17:40:10.448327", |
| "last_enriched": "2026-07-27T17:40:18.346614" |
| }, |
| "houspa_seasonal": { |
| "path": "birds/houspa_seasonal.parquet", |
| "description": "Per-season relative abundance of House Sparrow (Passer domesticus) on an H3 hexagon grid (~59 km cells). Long format: one row per hexagon PER SEASON, with a `season` column taking values breeding, nonbreeding, prebreeding_migration and postbreeding_migration (or `resident` for non-migratory species), and `abundance_mean` giving that season's modelled abundance. Predicted-absent cells are excluded. Use this for any question about seasonal or temporal change \u2014 where the species winters versus breeds, how its distribution shifts through the year, or migration patterns. Filter with WHERE season = '...' to map a single season, or return all seasons to compare them on one map.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset provides spatially explicit seasonal relative abundance predictions for the House Sparrow (*Passer domesticus*) aggregated across an H3 hexagonal grid. It captures geographic variations in mean bird abundance across different seasonal categories, including resident populations. Common use cases include avian distribution mapping, seasonal habitat modeling, biodiversity monitoring, and urban ecology research.", |
| "tags": [ |
| "abundance", |
| "birds", |
| "ebird", |
| "biodiversity", |
| "ecology", |
| "hexagons", |
| "h3", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "season", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 5611, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -177.97517495853026, |
| -55.50858843773102, |
| 178.98444335520082, |
| 72.09707420590918 |
| ], |
| "last_indexed": "2026-07-27T17:38:22.958066", |
| "last_enriched": "2026-07-27T17:38:30.724250" |
| }, |
| "rthhum_range": { |
| "path": "birds/rthhum_range.parquet", |
| "description": "Seasonal range boundaries for Ruby-throated Hummingbird (Archilochus colubris) as polygons, one per season (breeding, nonbreeding, prebreeding_migration, postbreeding_migration), each with the season's start and end dates. Use for showing where the species is found in a given season, comparing breeding versus wintering ranges, and clipping or filtering other layers to a species' range.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains seasonal distribution range polygons for the Ruby-throated Hummingbird (*Archilochus colubris*) based on 2023 model predictions. Spanning North and Central America, the data delineates geographic boundaries across breeding, nonbreeding, and migratory seasons. Common use cases include analyzing avian migration pathways, informing habitat conservation planning, and evaluating seasonal spatial dynamics.", |
| "tags": [ |
| "environment", |
| "boundaries", |
| "biodiversity", |
| "polygons", |
| "distribution", |
| "wildlife", |
| "conservation", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "species_code", |
| "scientific_name", |
| "common_name", |
| "prediction_year", |
| "type", |
| "season", |
| "start_date", |
| "end_date", |
| "geometry" |
| ], |
| "row_count": 4, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "MultiPolygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -120.9016332908786, |
| 7.871721097789152, |
| -59.68373050966149, |
| 56.435950887698354 |
| ], |
| "last_indexed": "2026-07-27T17:40:19.079687", |
| "last_enriched": "2026-07-27T17:40:28.147237" |
| }, |
| "supfai1_abundance": { |
| "path": "birds/supfai1_abundance.parquet", |
| "description": "Full-year mean relative abundance of Superb Fairywren (Malurus cyaneus) on an H3 hexagon grid (~26 km cells, resampled from eBird's native 27 km grid). One row per hexagon; the `abundance_mean` column is the modelled average count of individuals detected on a standard eBird checklist, averaged across all 52 weeks of the year. Predicted-absent (zero abundance) cells are excluded, so every row is a location where the species is predicted to occur. Use for mapping where this species occurs and how densely, and for choropleth abundance maps.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset provides spatial relative abundance data for the Superb Fairywren (Malurus cyaneus) mapped across discrete H3 hexagonal grid cells. Covering the species' range in southeastern Australia and Tasmania, the records capture modeled population densities based on standardized bird observations. It is ideal for species distribution modeling, habitat suitability analysis, and regional avian conservation planning.", |
| "tags": [ |
| "abundance", |
| "h3-grid", |
| "birds", |
| "biodiversity", |
| "wildlife", |
| "conservation", |
| "australia", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 700, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| 134.90661997017193, |
| -43.909047594960896, |
| 154.01021585284394, |
| -22.71314729510554 |
| ], |
| "last_indexed": "2026-07-27T17:43:09.838130", |
| "last_enriched": "2026-07-27T17:43:18.871249" |
| }, |
| "barswa_seasonal": { |
| "path": "birds/barswa_seasonal.parquet", |
| "description": "Per-season relative abundance of Barn Swallow (Hirundo rustica) on an H3 hexagon grid (~59 km cells). Long format: one row per hexagon PER SEASON, with a `season` column taking values breeding, nonbreeding, prebreeding_migration and postbreeding_migration (or `resident` for non-migratory species), and `abundance_mean` giving that season's modelled abundance. Predicted-absent cells are excluded. Use this for any question about seasonal or temporal change \u2014 where the species winters versus breeds, how its distribution shifts through the year, or migration patterns. Filter with WHERE season = '...' to map a single season, or return all seasons to compare them on one map.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains H3 hexagonal grid cells modeling the seasonal relative abundance and distribution of the Barn Swallow (*Hirundo rustica*). Spanning the species' seasonal range across breeding, non-breeding, and migratory periods, it provides fine-resolution spatial estimates of avian occurrence. It is primarily used for avian conservation planning, habitat suitability modeling, and seasonal biodiversity and migration analysis.", |
| "tags": [ |
| "occurrence", |
| "ebird", |
| "biodiversity", |
| "distribution", |
| "ecology", |
| "conservation", |
| "h3", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "season", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 23194, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -166.9553998587655, |
| -55.64685039858572, |
| 145.08619193653058, |
| 71.95981317131732 |
| ], |
| "last_indexed": "2026-07-27T17:35:19.382679", |
| "last_enriched": "2026-07-27T17:35:27.765069" |
| }, |
| "amerob_regional": { |
| "path": "birds/amerob_regional.parquet", |
| "description": "Regional seasonal statistics for American Robin (Turdus migratorius), one row per region per season. NON-SPATIAL attribute table (no geometry \u2014 results from it cannot be mapped directly; join to an administrative boundary table to map them). `region_type` is either 'country' or 'state' ('state' covers states, provinces and equivalent subdivisions). `region_code` is a 3-letter ISO country code for countries (e.g. 'USA', 'CAN', 'MEX') and COUNTRY-SUBDIVISION for states (e.g. 'USA-CA' for California, 'USA-NY', 'CAN-ON'); `region_name` is the plain name (e.g. 'Alabama'). To get US states use WHERE region_type = 'state' AND region_code LIKE 'USA-%'. `season` is one of breeding, nonbreeding, prebreeding_migration, postbreeding_migration (or 'resident'), so filter or aggregate by season \u2014 summing across seasons double-counts. Measures: `abundance_mean`, `total_pop_percent` and `continent_pop_percent` (share of population), `range_occupied_percent`, `range_total_percent`, `range_days_occupation`, `max_week` and `max_week_percent_pop` (week of peak abundance). Use for ranking or charting which countries or states hold the most of this species.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This regional statistics dataset provides seasonal population and range metrics for the American Robin across various administrative regions and countries globally. It tracks key ecological indicators including mean relative abundance, population percentages, range occupancy duration, and peak occurrence timing across nearly 400 geographic divisions. These non-spatial summaries are ideal for administrative biodiversity analysis, regional conservation planning, and evaluating species distribution trends across political boundaries.", |
| "tags": [ |
| "administrative", |
| "statistics", |
| "regional", |
| "biodiversity", |
| "seasonal", |
| "wildlife", |
| "population", |
| "conservation" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "species_code", |
| "region_type", |
| "region_code", |
| "region_name", |
| "continent_code", |
| "continent_name", |
| "season", |
| "abundance_mean", |
| "total_pop_percent", |
| "continent_pop_percent", |
| "range_occupied_percent", |
| "range_total_percent", |
| "range_days_occupation", |
| "max_week", |
| "max_week_percent_pop", |
| "common_name", |
| "scientific_name" |
| ], |
| "row_count": 399, |
| "category": "birds", |
| "format": "parquet", |
| "geometry_type": null, |
| "crs": null, |
| "bbox": null, |
| "last_indexed": "2026-07-27T17:32:52.688019", |
| "last_enriched": "2026-07-27T17:33:00.863066" |
| }, |
| "houspa_regional": { |
| "path": "birds/houspa_regional.parquet", |
| "description": "Regional seasonal statistics for House Sparrow (Passer domesticus), one row per region per season. NON-SPATIAL attribute table (no geometry \u2014 results from it cannot be mapped directly; join to an administrative boundary table to map them). `region_type` is either 'country' or 'state' ('state' covers states, provinces and equivalent subdivisions). `region_code` is a 3-letter ISO country code for countries (e.g. 'USA', 'CAN', 'MEX') and COUNTRY-SUBDIVISION for states (e.g. 'USA-CA' for California, 'USA-NY', 'CAN-ON'); `region_name` is the plain name (e.g. 'Alabama'). To get US states use WHERE region_type = 'state' AND region_code LIKE 'USA-%'. `season` is one of breeding, nonbreeding, prebreeding_migration, postbreeding_migration (or 'resident'), so filter or aggregate by season \u2014 summing across seasons double-counts. Measures: `abundance_mean`, `total_pop_percent` and `continent_pop_percent` (share of population), `range_occupied_percent`, `range_total_percent`, `range_days_occupation`, `max_week` and `max_week_percent_pop` (week of peak abundance). Use for ranking or charting which countries or states hold the most of this species.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains seasonal population and range metrics for the House Sparrow (*Passer domesticus*) aggregated across global administrative entities, including countries, sub-national regions, and continents. It provides non-spatial statistical summaries such as mean relative abundance, percentage of total and continental populations, and seasonal range occupation days. Common use cases include regional avian biodiversity assessments, administrative-level conservation planning, and analyzing seasonal species distribution dynamics.", |
| "tags": [ |
| "administrative", |
| "birds", |
| "statistics", |
| "regional", |
| "biodiversity", |
| "seasonal", |
| "population" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "species_code", |
| "region_type", |
| "region_code", |
| "region_name", |
| "continent_code", |
| "continent_name", |
| "season", |
| "abundance_mean", |
| "total_pop_percent", |
| "continent_pop_percent", |
| "range_occupied_percent", |
| "range_total_percent", |
| "range_days_occupation", |
| "max_week", |
| "max_week_percent_pop", |
| "common_name", |
| "scientific_name" |
| ], |
| "row_count": 3243, |
| "category": "birds", |
| "format": "parquet", |
| "geometry_type": null, |
| "crs": null, |
| "bbox": null, |
| "last_indexed": "2026-07-27T17:38:13.337101", |
| "last_enriched": "2026-07-27T17:38:22.235316" |
| }, |
| "amerob_seasonal": { |
| "path": "birds/amerob_seasonal.parquet", |
| "description": "Per-season relative abundance of American Robin (Turdus migratorius) on an H3 hexagon grid (~59 km cells). Long format: one row per hexagon PER SEASON, with a `season` column taking values breeding, nonbreeding, prebreeding_migration and postbreeding_migration (or `resident` for non-migratory species), and `abundance_mean` giving that season's modelled abundance. Predicted-absent cells are excluded. Use this for any question about seasonal or temporal change \u2014 where the species winters versus breeds, how its distribution shifts through the year, or migration patterns. Filter with WHERE season = '...' to map a single season, or return all seasons to compare them on one map.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains H3 spatial hexagonal grid cells detailing the seasonal relative abundance of the American Robin (*Turdus migratorius*) across its geographic range. It includes modeled abundance metrics standardized across key annual seasons, including breeding and nonbreeding periods. Common use cases include species distribution modeling, analyzing seasonal migration patterns, and supporting spatial conservation planning for avian biodiversity.", |
| "tags": [ |
| "abundance", |
| "biodiversity", |
| "conservation", |
| "species-distribution", |
| "grid", |
| "avian", |
| "h3", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "season", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 5255, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -169.5289459234144, |
| 15.343634222035536, |
| -51.554560821628925, |
| 71.00761876132705 |
| ], |
| "last_indexed": "2026-07-27T17:33:01.831840", |
| "last_enriched": "2026-07-27T17:33:09.716450" |
| }, |
| "barswa_regional": { |
| "path": "birds/barswa_regional.parquet", |
| "description": "Regional seasonal statistics for Barn Swallow (Hirundo rustica), one row per region per season. NON-SPATIAL attribute table (no geometry \u2014 results from it cannot be mapped directly; join to an administrative boundary table to map them). `region_type` is either 'country' or 'state' ('state' covers states, provinces and equivalent subdivisions). `region_code` is a 3-letter ISO country code for countries (e.g. 'USA', 'CAN', 'MEX') and COUNTRY-SUBDIVISION for states (e.g. 'USA-CA' for California, 'USA-NY', 'CAN-ON'); `region_name` is the plain name (e.g. 'Alabama'). To get US states use WHERE region_type = 'state' AND region_code LIKE 'USA-%'. `season` is one of breeding, nonbreeding, prebreeding_migration, postbreeding_migration (or 'resident'), so filter or aggregate by season \u2014 summing across seasons double-counts. Measures: `abundance_mean`, `total_pop_percent` and `continent_pop_percent` (share of population), `range_occupied_percent`, `range_total_percent`, `range_days_occupation`, `max_week` and `max_week_percent_pop` (week of peak abundance). Use for ranking or charting which countries or states hold the most of this species.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains seasonal population and range statistics for the Barn Swallow (*Hirundo rustica*) aggregated across global administrative units, including countries, states, and territories. It details metrics such as mean relative abundance, percentages of total and continental populations, range occupation, and timing of peak population density. Common use cases include administrative biodiversity reporting, regional conservation planning, and analyzing seasonal migratory patterns across political boundaries.", |
| "tags": [ |
| "administrative", |
| "statistics", |
| "regional", |
| "biodiversity", |
| "seasonal", |
| "wildlife", |
| "population", |
| "conservation" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "species_code", |
| "region_type", |
| "region_code", |
| "region_name", |
| "continent_code", |
| "continent_name", |
| "season", |
| "abundance_mean", |
| "total_pop_percent", |
| "continent_pop_percent", |
| "range_occupied_percent", |
| "range_total_percent", |
| "range_days_occupation", |
| "max_week", |
| "max_week_percent_pop", |
| "common_name", |
| "scientific_name" |
| ], |
| "row_count": 12852, |
| "category": "birds", |
| "format": "parquet", |
| "geometry_type": null, |
| "crs": null, |
| "bbox": null, |
| "last_indexed": "2026-07-27T17:35:10.932596", |
| "last_enriched": "2026-07-27T17:35:18.675022" |
| }, |
| "houspa_range": { |
| "path": "birds/houspa_range.parquet", |
| "description": "Seasonal range boundaries for House Sparrow (Passer domesticus) as polygons, one per season (breeding, nonbreeding, prebreeding_migration, postbreeding_migration), each with the season's start and end dates. Use for showing where the species is found in a given season, comparing breeding versus wintering ranges, and clipping or filtering other layers to a species' range.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This spatial dataset contains seasonal distribution and range polygons for the House Sparrow (*Passer domesticus*) derived from 2023 eBird Status and Trends modeling predictions. Covering the full geographic extent of the species' range, it details seasonal presence types alongside specific calendar start and end dates. Common use cases include avian biogeography mapping, seasonal extent analysis, species distribution modeling, and spatial overlap studies for biodiversity conservation.", |
| "tags": [ |
| "ebird", |
| "biodiversity", |
| "seasonal", |
| "polygons", |
| "wildlife", |
| "range", |
| "avian", |
| "species-distribution", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "species_code", |
| "scientific_name", |
| "common_name", |
| "prediction_year", |
| "type", |
| "season", |
| "start_date", |
| "end_date", |
| "geometry" |
| ], |
| "row_count": 1, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "MultiPolygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -176.8190572135299, |
| -55.001369794935876, |
| 178.73179184386515, |
| 71.2943620923578 |
| ], |
| "last_indexed": "2026-07-27T17:38:03.880177", |
| "last_enriched": "2026-07-27T17:38:12.651124" |
| }, |
| "eurrob1_abundance": { |
| "path": "birds/eurrob1_abundance.parquet", |
| "description": "Full-year mean relative abundance of European Robin (Erithacus rubecula) on an H3 hexagon grid (~26 km cells, resampled from eBird's native 27 km grid). One row per hexagon; the `abundance_mean` column is the modelled average count of individuals detected on a standard eBird checklist, averaged across all 52 weeks of the year. Predicted-absent (zero abundance) cells are excluded, so every row is a location where the species is predicted to occur. Use for mapping where this species occurs and how densely, and for choropleth abundance maps.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains H3 hexagonal spatial grid cells representing the predicted relative abundance and distribution of the European Robin (Erithacus rubecula). Each record provides spatial geometries alongside mean relative abundance metrics derived from eBird Status and Trends data across the species' occurrence range. It is ideal for ecological modeling, habitat suitability analysis, and spatial conservation planning for European avian biodiversity.", |
| "tags": [ |
| "h3-grid", |
| "ebird", |
| "citizen-science", |
| "biodiversity", |
| "ecology", |
| "wildlife", |
| "species-distribution", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 7278, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -29.168869058461347, |
| 27.596488237403104, |
| 62.64951657457579, |
| 70.05474356794392 |
| ], |
| "last_indexed": "2026-07-27T17:37:11.666157", |
| "last_enriched": "2026-07-27T17:37:19.084510" |
| }, |
| "baleag_abundance": { |
| "path": "birds/baleag_abundance.parquet", |
| "description": "Full-year mean relative abundance of Bald Eagle (Haliaeetus leucocephalus) on an H3 hexagon grid (~26 km cells, resampled from eBird's native 27 km grid). One row per hexagon; the `abundance_mean` column is the modelled average count of individuals detected on a standard eBird checklist, averaged across all 52 weeks of the year. Predicted-absent (zero abundance) cells are excluded, so every row is a location where the species is predicted to occur. Use for mapping where this species occurs and how densely, and for choropleth abundance maps.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset provides modeled spatial relative abundance data for the Bald Eagle (*Haliaeetus leucocephalus*) structured across an H3 hexagonal grid. Covering 8,350 grid cells across the species' distribution range, it records mean relative abundance predictions derived from eBird Status and Trends models. It is ideal for species distribution mapping, habitat suitability analysis, avian conservation planning, and spatial biodiversity assessments.", |
| "tags": [ |
| "abundance", |
| "ebird", |
| "biodiversity", |
| "wildlife", |
| "conservation", |
| "h3", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 8350, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -177.62033542953932, |
| 24.006337611181277, |
| 179.0894655169008, |
| 70.52198507477455 |
| ], |
| "last_indexed": "2026-07-27T17:34:09.603781", |
| "last_enriched": "2026-07-27T17:34:16.974276" |
| }, |
| "eurrob1_seasonal": { |
| "path": "birds/eurrob1_seasonal.parquet", |
| "description": "Per-season relative abundance of European Robin (Erithacus rubecula) on an H3 hexagon grid (~59 km cells). Long format: one row per hexagon PER SEASON, with a `season` column taking values breeding, nonbreeding, prebreeding_migration and postbreeding_migration (or `resident` for non-migratory species), and `abundance_mean` giving that season's modelled abundance. Predicted-absent cells are excluded. Use this for any question about seasonal or temporal change \u2014 where the species winters versus breeds, how its distribution shifts through the year, or migration patterns. Filter with WHERE season = '...' to map a single season, or return all seasons to compare them on one map.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains H3 hexagonal grid cells detailing modeled seasonal relative abundance for the European Robin (Erithacus rubecula). It covers the species' spatial distribution across various seasons, including breeding and migration periods, at a standardized spatial resolution. The data is commonly used for avian species distribution modeling, seasonal habitat usage analysis, and spatial conservation planning.", |
| "tags": [ |
| "abundance", |
| "biodiversity", |
| "distribution", |
| "seasonal", |
| "conservation", |
| "avian", |
| "h3", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "season", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 4183, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -30.078565392558993, |
| 26.865156460832075, |
| 62.89903372679945, |
| 70.63457266939447 |
| ], |
| "last_indexed": "2026-07-27T17:37:38.989031", |
| "last_enriched": "2026-07-27T17:37:45.590016" |
| }, |
| "baleag_range": { |
| "path": "birds/baleag_range.parquet", |
| "description": "Seasonal range boundaries for Bald Eagle (Haliaeetus leucocephalus) as polygons, one per season (breeding, nonbreeding, prebreeding_migration, postbreeding_migration), each with the season's start and end dates. Use for showing where the species is found in a given season, comparing breeding versus wintering ranges, and clipping or filtering other layers to a species' range.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains spatial range polygons representing the seasonal distribution of the Bald Eagle (Haliaeetus leucocephalus) based on 2023 predictions across its geographic range. It delineates distinct boundaries across key annual seasons, including breeding, non-breeding, and migratory periods. The data are commonly used for seasonal range extent comparisons, avian distribution mapping, and informing habitat conservation and wildlife management strategies.", |
| "tags": [ |
| "environment", |
| "boundaries", |
| "biodiversity", |
| "seasonal", |
| "polygons", |
| "wildlife", |
| "conservation", |
| "range", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "species_code", |
| "scientific_name", |
| "common_name", |
| "prediction_year", |
| "type", |
| "season", |
| "start_date", |
| "end_date", |
| "geometry" |
| ], |
| "row_count": 4, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "MultiPolygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -177.08245820017163, |
| 24.402490748381666, |
| 178.7334732341178, |
| 70.04454974864537 |
| ], |
| "last_indexed": "2026-07-27T17:34:17.657684", |
| "last_enriched": "2026-07-27T17:34:24.867526" |
| }, |
| "eurrob1_regional": { |
| "path": "birds/eurrob1_regional.parquet", |
| "description": "Regional seasonal statistics for European Robin (Erithacus rubecula), one row per region per season. NON-SPATIAL attribute table (no geometry \u2014 results from it cannot be mapped directly; join to an administrative boundary table to map them). `region_type` is either 'country' or 'state' ('state' covers states, provinces and equivalent subdivisions). `region_code` is a 3-letter ISO country code for countries (e.g. 'USA', 'CAN', 'MEX') and COUNTRY-SUBDIVISION for states (e.g. 'USA-CA' for California, 'USA-NY', 'CAN-ON'); `region_name` is the plain name (e.g. 'Alabama'). To get US states use WHERE region_type = 'state' AND region_code LIKE 'USA-%'. `season` is one of breeding, nonbreeding, prebreeding_migration, postbreeding_migration (or 'resident'), so filter or aggregate by season \u2014 summing across seasons double-counts. Measures: `abundance_mean`, `total_pop_percent` and `continent_pop_percent` (share of population), `range_occupied_percent`, `range_total_percent`, `range_days_occupation`, `max_week` and `max_week_percent_pop` (week of peak abundance). Use for ranking or charting which countries or states hold the most of this species.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains seasonal population and range metrics for the European Robin (Erithacus rubecula) aggregated across administrative entities including countries, subnational regions, and continents. It provides key regional statistics such as seasonal mean relative abundance, percentage of global and continental population, range occupancy rates, and peak presence timing. Common use cases include administrative-level conservation planning, regional biodiversity reporting, and evaluating the seasonal occupancy dynamics of the species across geopolitical boundaries.", |
| "tags": [ |
| "administrative", |
| "statistics", |
| "regional", |
| "ebird", |
| "biodiversity", |
| "seasonal", |
| "wildlife", |
| "population" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "species_code", |
| "region_type", |
| "region_code", |
| "region_name", |
| "continent_code", |
| "continent_name", |
| "season", |
| "abundance_mean", |
| "total_pop_percent", |
| "continent_pop_percent", |
| "range_occupied_percent", |
| "range_total_percent", |
| "range_days_occupation", |
| "max_week", |
| "max_week_percent_pop", |
| "common_name", |
| "scientific_name" |
| ], |
| "row_count": 7662, |
| "category": "birds", |
| "format": "parquet", |
| "geometry_type": null, |
| "crs": null, |
| "bbox": null, |
| "last_indexed": "2026-07-27T17:37:29.365191", |
| "last_enriched": "2026-07-27T17:37:38.273894" |
| }, |
| "world_countries": { |
| "path": "admin/world_countries.parquet", |
| "description": "Country boundaries worldwide (Natural Earth 1:50m), one polygon per country. Columns: `country_name` (e.g. 'United States of America'), `country_name_long`, `iso_a3` (3-letter ISO code, e.g. 'USA' \u2014 matches the `region_code` used by the eBird *_regional tables for countries), `iso_a2`, `continent`, `region_un`, `subregion`, `population_est`, and `geometry`. Use this to aggregate species abundance hexagons into countries with a spatial join, to clip a species layer to one country, or to give the non-spatial *_regional statistics a geometry so they can be mapped.", |
| "attribution": "Natural Earth (public domain), 1:50m", |
| "semantic_description": "This global administrative dataset contains polygon boundaries and attributes for 242 countries and territories worldwide. It includes standardized ISO country codes, UN regional and subregional classifications, and estimated population metrics. Common use cases include global thematic mapping, macro-regional demographic analysis, and spatial aggregation of localized geographic data.", |
| "tags": [ |
| "polygons", |
| "countries", |
| "spatial", |
| "demographics", |
| "global", |
| "population", |
| "boundaries", |
| "administrative" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "country_name", |
| "country_name_long", |
| "iso_a3", |
| "iso_a2", |
| "continent", |
| "region_un", |
| "subregion", |
| "population_est", |
| "geometry" |
| ], |
| "row_count": 242, |
| "category": "admin", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -180.0, |
| -89.998926, |
| 180.0, |
| 83.599609 |
| ], |
| "last_indexed": "2026-07-26T23:56:14.092473", |
| "last_enriched": "2026-07-26T23:56:21.409873" |
| }, |
| "world_states_provinces": { |
| "path": "admin/world_states_provinces.parquet", |
| "description": "State, province and equivalent first-level subdivision boundaries worldwide (Natural Earth 1:50m), one polygon per subdivision \u2014 includes all 50 US states and the Canadian provinces. Columns: `state_name` (e.g. 'California'), `country_name` (e.g. 'United States of America'), `country_iso_a2`, `iso_3166_2` (e.g. 'US-CA'), `postal_code` (e.g. 'CA'), `subdivision_type` (State, Province, ...), `region`, and `geometry`. Use this to aggregate species abundance hexagons per state (spatial join, then GROUP BY state_name), to map state-level results, or to filter a species layer to one state. For US states filter with country_name = 'United States of America'. Note the eBird *_regional tables code states as 'USA-CA' whereas `iso_3166_2` here is 'US-CA', so join on `state_name` or translate the prefix.", |
| "attribution": "Natural Earth (public domain), 1:50m", |
| "semantic_description": "This global administrative dataset contains polygon boundaries for subnational entities across the world, including states, provinces, and major regional subdivisions. With 4,596 features, it includes standard metadata such as ISO 3166-2 codes, country designations, postal abbreviations, and primary subdivision types. It is ideal for subnational spatial analysis, regional data aggregation, administrative mapping, and reporting biodiversity metrics across political boundaries.", |
| "tags": [ |
| "polygons", |
| "regions", |
| "spatial", |
| "global", |
| "subnational", |
| "boundaries", |
| "government", |
| "administrative" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "state_name", |
| "country_name", |
| "country_iso_a2", |
| "iso_3166_2", |
| "postal_code", |
| "subdivision_type", |
| "region", |
| "geometry" |
| ], |
| "row_count": 4596, |
| "category": "admin", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -180.0, |
| -90.0, |
| 180.0, |
| 83.634101 |
| ], |
| "last_indexed": "2026-07-26T23:56:38.316848", |
| "last_enriched": "2026-07-26T23:56:46.653279" |
| }, |
| "supfai1_weekly": { |
| "path": "birds/supfai1_weekly.parquet", |
| "description": "WEEKLY relative abundance of Superb Fairywren (Malurus cyaneus) on an H3 hexagon grid (~59 km cells) \u2014 the finest temporal resolution available, and the basis for animating the species' movement through the year. Long format: one row per hexagon PER WEEK, 52 weeks of 2023. Columns: `week_start` (ISO date of the week, e.g. '2023-05-10'), `week_index` (1-52, cheap to order and filter by), and `abundance_mean`. Predicted-absent cells are excluded. IMPORTANT: for any question about change over time, migration timing, or an animation ('how does it move through the year', 'show the migration', 'when does it arrive'), return ALL 52 weeks including `week_start` \u2014 the map plays them as a time series. Only filter to a single week when the user asks about one specific date or week. Use `_seasonal` instead for coarse four-season comparisons, and `_abundance` for a single year-round summary.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains weekly modeled relative abundance estimates for an avian species mapped onto an H3 hexagonal spatial grid. It tracks temporal changes in bird occurrence across the species' geographic range throughout a 52-week annual cycle. Typical use cases include analyzing seasonal migration dynamics, evaluating spatial population density, and supporting regional wildlife conservation planning.", |
| "tags": [ |
| "timeseries", |
| "abundance", |
| "h3-grid", |
| "biodiversity", |
| "wildlife", |
| "conservation", |
| "avian", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "week_start", |
| "week_index", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 6581, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| 133.78688167866164, |
| -44.56218804276971, |
| 154.5678475382588, |
| -22.20301933187565 |
| ], |
| "last_indexed": "2026-07-27T17:43:45.480425", |
| "last_enriched": "2026-07-27T17:43:54.017099" |
| }, |
| "eurrob1_weekly": { |
| "path": "birds/eurrob1_weekly.parquet", |
| "description": "WEEKLY relative abundance of European Robin (Erithacus rubecula) on an H3 hexagon grid (~59 km cells) \u2014 the finest temporal resolution available, and the basis for animating the species' movement through the year. Long format: one row per hexagon PER WEEK, 52 weeks of 2023. Columns: `week_start` (ISO date of the week, e.g. '2023-05-10'), `week_index` (1-52, cheap to order and filter by), and `abundance_mean`. Predicted-absent cells are excluded. IMPORTANT: for any question about change over time, migration timing, or an animation ('how does it move through the year', 'show the migration', 'when does it arrive'), return ALL 52 weeks including `week_start` \u2014 the map plays them as a time series. Only filter to a single week when the user asks about one specific date or week. Use `_seasonal` instead for coarse four-season comparisons, and `_abundance` for a single year-round summary.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains weekly modelled relative abundance estimates for the European Robin (Erithacus rubecula) aggregated across an H3 hexagonal spatial grid. Its geographic scope spans the species' distribution range, capturing temporal fluctuations in population density across 52 weeks of the year. Common use cases include analyzing seasonal migration timing, tracking dynamic spatial distribution trends, and supporting regional avian conservation planning.", |
| "tags": [ |
| "temporal", |
| "time-series", |
| "biodiversity", |
| "wildlife", |
| "conservation", |
| "grid", |
| "h3", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "week_start", |
| "week_index", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 43625, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -30.078565392558993, |
| 26.865156460832075, |
| 62.89903372679945, |
| 70.63457266939447 |
| ], |
| "last_indexed": "2026-07-27T17:37:46.309109", |
| "last_enriched": "2026-07-27T17:37:55.144642" |
| }, |
| "amerob_weekly": { |
| "path": "birds/amerob_weekly.parquet", |
| "description": "WEEKLY relative abundance of American Robin (Turdus migratorius) on an H3 hexagon grid (~59 km cells) \u2014 the finest temporal resolution available, and the basis for animating the species' movement through the year. Long format: one row per hexagon PER WEEK, 52 weeks of 2023. Columns: `week_start` (ISO date of the week, e.g. '2023-05-10'), `week_index` (1-52, cheap to order and filter by), and `abundance_mean`. Predicted-absent cells are excluded. IMPORTANT: for any question about change over time, migration timing, or an animation ('how does it move through the year', 'show the migration', 'when does it arrive'), return ALL 52 weeks including `week_start` \u2014 the map plays them as a time series. Only filter to a single week when the user asks about one specific date or week. Use `_seasonal` instead for coarse four-season comparisons, and `_abundance` for a single year-round summary.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains high-resolution spatial predictions of weekly relative abundance for the American Robin aggregated across an H3 hexagonal spatial grid. It captures dynamic seasonal population shifts across the species' geographic range throughout the annual cycle at weekly temporal intervals. Common use cases include modeling avian migration timing, analyzing seasonal habitat utilization patterns, and informing ecological conservation strategies.", |
| "tags": [ |
| "h3-grid", |
| "time-series", |
| "biodiversity", |
| "distribution", |
| "ecology", |
| "wildlife", |
| "conservation", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "week_start", |
| "week_index", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 56552, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -169.5289459234144, |
| 15.343634222035536, |
| -51.554560821628925, |
| 71.00761876132705 |
| ], |
| "last_indexed": "2026-07-27T17:33:13.864917", |
| "last_enriched": "2026-07-27T17:33:24.710553" |
| }, |
| "barswa_weekly": { |
| "path": "birds/barswa_weekly.parquet", |
| "description": "WEEKLY relative abundance of Barn Swallow (Hirundo rustica) on an H3 hexagon grid (~59 km cells) \u2014 the finest temporal resolution available, and the basis for animating the species' movement through the year. Long format: one row per hexagon PER WEEK, 52 weeks of 2023. Columns: `week_start` (ISO date of the week, e.g. '2023-05-10'), `week_index` (1-52, cheap to order and filter by), and `abundance_mean`. Predicted-absent cells are excluded. IMPORTANT: for any question about change over time, migration timing, or an animation ('how does it move through the year', 'show the migration', 'when does it arrive'), return ALL 52 weeks including `week_start` \u2014 the map plays them as a time series. Only filter to a single week when the user asks about one specific date or week. Use `_seasonal` instead for coarse four-season comparisons, and `_abundance` for a single year-round summary.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains weekly modeled relative abundance estimates for the Barn Swallow (*Hirundo rustica*) aggregated across discrete H3 spatial grid cells spanning its global seasonal distribution range. It provides dynamic time-series geometry and abundance data captured at weekly intervals throughout the calendar year. Common use cases include tracking avian migratory phenology, modeling seasonal population shifts, and identifying critical temporal habitats for species conservation planning.", |
| "tags": [ |
| "abundance", |
| "modeled", |
| "birds", |
| "time-series", |
| "biodiversity", |
| "conservation", |
| "h3", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "week_start", |
| "week_index", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 203166, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -166.9553998587655, |
| -55.64685039858572, |
| 145.08619193653058, |
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| ], |
| "last_indexed": "2026-07-27T17:35:28.651694", |
| "last_enriched": "2026-07-27T17:35:37.904897" |
| }, |
| "eurbla_weekly": { |
| "path": "birds/eurbla_weekly.parquet", |
| "description": "WEEKLY relative abundance of Eurasian Blackbird (Turdus merula) on an H3 hexagon grid (~59 km cells) \u2014 the finest temporal resolution available, and the basis for animating the species' movement through the year. Long format: one row per hexagon PER WEEK, 52 weeks of 2023. Columns: `week_start` (ISO date of the week, e.g. '2023-05-10'), `week_index` (1-52, cheap to order and filter by), and `abundance_mean`. Predicted-absent cells are excluded. IMPORTANT: for any question about change over time, migration timing, or an animation ('how does it move through the year', 'show the migration', 'when does it arrive'), return ALL 52 weeks including `week_start` \u2014 the map plays them as a time series. Only filter to a single week when the user asks about one specific date or week. Use `_seasonal` instead for coarse four-season comparisons, and `_abundance` for a single year-round summary.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains weekly modelled relative abundance estimates for the Eurasian Blackbird (*Turdus merula*) mapped across an H3 hexagonal spatial grid. Spanning 52 calendar weeks across the species' geographic range, it captures fine-scale spatiotemporal variations in bird population density throughout the year. Common use cases include analyzing seasonal distribution patterns, tracking migratory and wintering range shifts, and informing avian biodiversity conservation and ecological studies.", |
| "tags": [ |
| "birds", |
| "modelled", |
| "biodiversity", |
| "ecology", |
| "grid", |
| "spatiotemporal", |
| "h3", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "week_start", |
| "week_index", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 57976, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -177.97517495853026, |
| -52.752260831993574, |
| 178.98444335520082, |
| 70.63457266939447 |
| ], |
| "last_indexed": "2026-07-27T17:37:02.534548", |
| "last_enriched": "2026-07-27T17:37:10.425706" |
| }, |
| "baleag_weekly": { |
| "path": "birds/baleag_weekly.parquet", |
| "description": "WEEKLY relative abundance of Bald Eagle (Haliaeetus leucocephalus) on an H3 hexagon grid (~59 km cells) \u2014 the finest temporal resolution available, and the basis for animating the species' movement through the year. Long format: one row per hexagon PER WEEK, 52 weeks of 2023. Columns: `week_start` (ISO date of the week, e.g. '2023-05-10'), `week_index` (1-52, cheap to order and filter by), and `abundance_mean`. Predicted-absent cells are excluded. IMPORTANT: for any question about change over time, migration timing, or an animation ('how does it move through the year', 'show the migration', 'when does it arrive'), return ALL 52 weeks including `week_start` \u2014 the map plays them as a time series. Only filter to a single week when the user asks about one specific date or week. Use `_seasonal` instead for coarse four-season comparisons, and `_abundance` for a single year-round summary.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains weekly relative abundance estimates for the Bald Eagle (*Haliaeetus leucocephalus*) structured across an H3 hexagonal spatial grid. It provides dynamic spatial-temporal coverage across the species' geographic distribution, capturing weekly population dynamics throughout the year. Common use cases include tracking seasonal migration timing, analyzing localized relative abundance trends, and supporting time-sensitive avian conservation and habitat management.", |
| "tags": [ |
| "abundance", |
| "time-series", |
| "ebird", |
| "biodiversity", |
| "wildlife", |
| "conservation", |
| "hex-grid", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "week_start", |
| "week_index", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 53642, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -178.16891171452028, |
| 23.98520024904719, |
| 180.22573918145787, |
| 70.83931940398371 |
| ], |
| "last_indexed": "2026-07-27T17:34:44.188334", |
| "last_enriched": "2026-07-27T17:34:51.890143" |
| }, |
| "houspa_weekly": { |
| "path": "birds/houspa_weekly.parquet", |
| "description": "WEEKLY relative abundance of House Sparrow (Passer domesticus) on an H3 hexagon grid (~59 km cells) \u2014 the finest temporal resolution available, and the basis for animating the species' movement through the year. Long format: one row per hexagon PER WEEK, 52 weeks of 2023. Columns: `week_start` (ISO date of the week, e.g. '2023-05-10'), `week_index` (1-52, cheap to order and filter by), and `abundance_mean`. Predicted-absent cells are excluded. IMPORTANT: for any question about change over time, migration timing, or an animation ('how does it move through the year', 'show the migration', 'when does it arrive'), return ALL 52 weeks including `week_start` \u2014 the map plays them as a time series. Only filter to a single week when the user asks about one specific date or week. Use `_seasonal` instead for coarse four-season comparisons, and `_abundance` for a single year-round summary.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains modeled weekly relative abundance estimates for the House Sparrow (*Passer domesticus*) aggregated across an H3 hexagonal spatial grid. It provides fine-scale temporal data tracking weekly changes in species presence throughout the year across its geographic range. Common use cases include analyzing seasonal distribution dynamics, spatial ecological modeling, and evaluating localized population patterns over time.", |
| "tags": [ |
| "abundance", |
| "modeled", |
| "time-series", |
| "biodiversity", |
| "wildlife", |
| "grid", |
| "h3", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "week_start", |
| "week_index", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 251168, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -177.97517495853026, |
| -55.50858843773102, |
| 178.98444335520082, |
| 72.09707420590918 |
| ], |
| "last_indexed": "2026-07-27T17:38:31.760035", |
| "last_enriched": "2026-07-27T17:38:40.865106" |
| }, |
| "rthhum_weekly": { |
| "path": "birds/rthhum_weekly.parquet", |
| "description": "WEEKLY relative abundance of Ruby-throated Hummingbird (Archilochus colubris) on an H3 hexagon grid (~59 km cells) \u2014 the finest temporal resolution available, and the basis for animating the species' movement through the year. Long format: one row per hexagon PER WEEK, 52 weeks of 2023. Columns: `week_start` (ISO date of the week, e.g. '2023-05-10'), `week_index` (1-52, cheap to order and filter by), and `abundance_mean`. Predicted-absent cells are excluded. IMPORTANT: for any question about change over time, migration timing, or an animation ('how does it move through the year', 'show the migration', 'when does it arrive'), return ALL 52 weeks including `week_start` \u2014 the map plays them as a time series. Only filter to a single week when the user asks about one specific date or week. Use `_seasonal` instead for coarse four-season comparisons, and `_abundance` for a single year-round summary.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains weekly modeled relative abundance estimates for the Ruby-throated Hummingbird (*Archilochus colubris*) mapped across an H3 spatial hexagon grid. Spanning the species' full annual range across North and Central America, the data captures fine-scale spatiotemporal distribution changes at weekly intervals throughout the year. It is ideal for studying seasonal migration timing, analyzing dynamic bird population densities, and supporting targeted avian conservation planning.", |
| "tags": [ |
| "modeled", |
| "time-series", |
| "biodiversity", |
| "wildlife", |
| "ecology", |
| "conservation", |
| "grid", |
| "h3", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "week_start", |
| "week_index", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 14379, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -120.8834421116231, |
| 7.254986079895192, |
| -58.34947469785496, |
| 56.75671573264552 |
| ], |
| "last_indexed": "2026-07-27T17:40:48.202571", |
| "last_enriched": "2026-07-27T17:40:56.148930" |
| }, |
| "magrob_seasonal": { |
| "path": "birds/magrob_seasonal.parquet", |
| "description": "Per-season relative abundance of Oriental Magpie-Robin (Copsychus saularis) on an H3 hexagon grid (~59 km cells). Long format: one row per hexagon PER SEASON, with a `season` column taking values breeding, nonbreeding, prebreeding_migration and postbreeding_migration (or `resident` for non-migratory species), and `abundance_mean` giving that season's modelled abundance. Predicted-absent cells are excluded. Use this for any question about seasonal or temporal change \u2014 where the species winters versus breeds, how its distribution shifts through the year, or migration patterns. Filter with WHERE season = '...' to map a single season, or return all seasons to compare them on one map.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "", |
| "tags": [ |
| "ebird", |
| "h3", |
| "biodiversity", |
| "seasonal", |
| "wildlife", |
| "species-distribution", |
| "relative-abundance", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "season", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 781, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| 68.56417276125592, |
| -9.522263430875402, |
| 123.24381552475647, |
| 36.01874760758879 |
| ], |
| "last_indexed": "2026-07-27T17:39:10.575648", |
| "last_enriched": "2026-07-27T17:39:17.487935" |
| }, |
| "rucspa1_weekly": { |
| "path": "birds/rucspa1_weekly.parquet", |
| "description": "WEEKLY relative abundance of Rufous-collared Sparrow (Zonotrichia capensis) on an H3 hexagon grid (~59 km cells) \u2014 the finest temporal resolution available, and the basis for animating the species' movement through the year. Long format: one row per hexagon PER WEEK, 52 weeks of 2023. Columns: `week_start` (ISO date of the week, e.g. '2023-05-10'), `week_index` (1-52, cheap to order and filter by), and `abundance_mean`. Predicted-absent cells are excluded. IMPORTANT: for any question about change over time, migration timing, or an animation ('how does it move through the year', 'show the migration', 'when does it arrive'), return ALL 52 weeks including `week_start` \u2014 the map plays them as a time series. Only filter to a single week when the user asks about one specific date or week. Use `_seasonal` instead for coarse four-season comparisons, and `_abundance` for a single year-round summary.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains weekly modeled relative abundance metrics for the Rufous-collared Sparrow (*Zonotrichia capensis*) mapped onto H3 hexagonal spatial grid cells. It provides fine-scale spatiotemporal coverage across 52 calendar weeks with corresponding geographic geometries and mean relative abundance values. Key use cases include tracking seasonal shifts in species occurrence, mapping local population density over time, and supporting biodiversity conservation planning.", |
| "tags": [ |
| "h3-grid", |
| "time-series", |
| "ebird", |
| "biodiversity", |
| "ecology", |
| "wildlife", |
| "spatiotemporal", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "week_start", |
| "week_index", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 50721, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -93.91597624401872, |
| -56.296364046092975, |
| -34.225299325208184, |
| 19.961762258958753 |
| ], |
| "last_indexed": "2026-07-27T17:41:32.209442", |
| "last_enriched": "2026-07-27T17:41:41.864520" |
| }, |
| "rucspa1_range": { |
| "path": "birds/rucspa1_range.parquet", |
| "description": "Seasonal range boundaries for Rufous-collared Sparrow (Zonotrichia capensis) as polygons, one per season (breeding, nonbreeding, prebreeding_migration, postbreeding_migration), each with the season's start and end dates. Use for showing where the species is found in a given season, comparing breeding versus wintering ranges, and clipping or filtering other layers to a species' range.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "", |
| "tags": [ |
| "birds", |
| "boundaries", |
| "ebird", |
| "biodiversity", |
| "polygons", |
| "wildlife", |
| "range", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "species_code", |
| "scientific_name", |
| "common_name", |
| "prediction_year", |
| "type", |
| "season", |
| "start_date", |
| "end_date", |
| "geometry" |
| ], |
| "row_count": 1, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "MultiPolygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -93.19382342106519, |
| -56.123406747133416, |
| -35.182098759585436, |
| 19.23211738372374 |
| ], |
| "last_indexed": "2026-07-27T17:41:05.760702", |
| "last_enriched": "2026-07-27T17:41:12.797928" |
| }, |
| "magrob_range": { |
| "path": "birds/magrob_range.parquet", |
| "description": "Seasonal range boundaries for Oriental Magpie-Robin (Copsychus saularis) as polygons, one per season (breeding, nonbreeding, prebreeding_migration, postbreeding_migration), each with the season's start and end dates. Use for showing where the species is found in a given season, comparing breeding versus wintering ranges, and clipping or filtering other layers to a species' range.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains seasonal range extent polygons for the Oriental Magpie-Robin (Copsychus saularis) derived from 2023 eBird Status and Trends models. It delineates the global geographic distribution and seasonal occupancy boundaries for the species. Common use cases include avian spatial analysis, biodiversity conservation planning, and evaluating seasonal range dynamics.", |
| "tags": [ |
| "boundaries", |
| "biodiversity", |
| "model", |
| "wildlife", |
| "conservation", |
| "range", |
| "avian", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "species_code", |
| "scientific_name", |
| "common_name", |
| "prediction_year", |
| "type", |
| "season", |
| "start_date", |
| "end_date", |
| "geometry" |
| ], |
| "row_count": 1, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "MultiPolygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| 68.78676244155602, |
| -8.783628699093965, |
| 122.47795670818576, |
| 35.14546943878829 |
| ], |
| "last_indexed": "2026-07-27T17:38:50.621837", |
| "last_enriched": "2026-07-27T17:38:59.793873" |
| }, |
| "arcter_regional": { |
| "path": "birds/arcter_regional.parquet", |
| "description": "Regional seasonal statistics for Arctic Tern (Sterna paradisaea), one row per region per season. NON-SPATIAL attribute table (no geometry \u2014 results from it cannot be mapped directly; join to an administrative boundary table to map them). `region_type` is either 'country' or 'state' ('state' covers states, provinces and equivalent subdivisions). `region_code` is a 3-letter ISO country code for countries (e.g. 'USA', 'CAN', 'MEX') and COUNTRY-SUBDIVISION for states (e.g. 'USA-CA' for California, 'USA-NY', 'CAN-ON'); `region_name` is the plain name (e.g. 'Alabama'). To get US states use WHERE region_type = 'state' AND region_code LIKE 'USA-%'. `season` is one of breeding, nonbreeding, prebreeding_migration, postbreeding_migration (or 'resident'), so filter or aggregate by season \u2014 summing across seasons double-counts. Measures: `abundance_mean`, `total_pop_percent` and `continent_pop_percent` (share of population), `range_occupied_percent`, `range_total_percent`, `range_days_occupation`, `max_week` and `max_week_percent_pop` (week of peak abundance). Use for ranking or charting which countries or states hold the most of this species. COVERAGE LIMIT: eBird's continuous seasonal grid does not extend to the Southern Ocean and Antarctica, where this species spends the nonbreeding season. There is therefore NO nonbreeding range or season for it, and the weekly data covers 36 of 52 weeks. Do not describe its wintering grounds from this data, and do not present its seasonal coverage as complete.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset provides global seasonal population and distribution metrics for the Arctic Tern across various countries, sub-national regions, and continents. It captures mean relative abundance, range occupancy percentages, and peak occurrence timing across different migratory and breeding seasons. The data is commonly used for regional conservation planning, administrative biodiversity assessments, and analyzing seasonal population reliance across geopolitical boundaries.", |
| "tags": [ |
| "administrative", |
| "regional", |
| "biodiversity", |
| "distribution", |
| "seasonal", |
| "wildlife", |
| "population", |
| "conservation" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "species_code", |
| "region_type", |
| "region_code", |
| "region_name", |
| "continent_code", |
| "continent_name", |
| "season", |
| "abundance_mean", |
| "total_pop_percent", |
| "continent_pop_percent", |
| "range_occupied_percent", |
| "range_total_percent", |
| "range_days_occupation", |
| "max_week", |
| "max_week_percent_pop", |
| "common_name", |
| "scientific_name" |
| ], |
| "row_count": 1054, |
| "category": "birds", |
| "format": "parquet", |
| "geometry_type": null, |
| "crs": null, |
| "bbox": null, |
| "last_indexed": "2026-07-27T17:33:41.862222", |
| "last_enriched": "2026-07-27T17:33:49.300952" |
| }, |
| "norcar_regional": { |
| "path": "birds/norcar_regional.parquet", |
| "description": "Regional seasonal statistics for Northern Cardinal (Cardinalis cardinalis), one row per region per season. NON-SPATIAL attribute table (no geometry \u2014 results from it cannot be mapped directly; join to an administrative boundary table to map them). `region_type` is either 'country' or 'state' ('state' covers states, provinces and equivalent subdivisions). `region_code` is a 3-letter ISO country code for countries (e.g. 'USA', 'CAN', 'MEX') and COUNTRY-SUBDIVISION for states (e.g. 'USA-CA' for California, 'USA-NY', 'CAN-ON'); `region_name` is the plain name (e.g. 'Alabama'). To get US states use WHERE region_type = 'state' AND region_code LIKE 'USA-%'. `season` is one of breeding, nonbreeding, prebreeding_migration, postbreeding_migration (or 'resident'), so filter or aggregate by season \u2014 summing across seasons double-counts. Measures: `abundance_mean`, `total_pop_percent` and `continent_pop_percent` (share of population), `range_occupied_percent`, `range_total_percent`, `range_days_occupation`, `max_week` and `max_week_percent_pop` (week of peak abundance). Use for ranking or charting which countries or states hold the most of this species.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains non-spatial seasonal statistics for the Northern Cardinal across administrative regions, including countries and subnational units throughout North and Central America. It provides key regional metrics such as mean relative abundance, total population percentages, range occupancy rates, and peak population timings across different seasons. The dataset is commonly used for regional conservation planning, administrative biodiversity reporting, and evaluating seasonal population shifts across geopolitical boundaries.", |
| "tags": [ |
| "administrative", |
| "birds", |
| "statistics", |
| "regional", |
| "biodiversity", |
| "seasonal", |
| "population", |
| "conservation" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "species_code", |
| "region_type", |
| "region_code", |
| "region_name", |
| "continent_code", |
| "continent_name", |
| "season", |
| "abundance_mean", |
| "total_pop_percent", |
| "continent_pop_percent", |
| "range_occupied_percent", |
| "range_total_percent", |
| "range_days_occupation", |
| "max_week", |
| "max_week_percent_pop", |
| "common_name", |
| "scientific_name" |
| ], |
| "row_count": 102, |
| "category": "birds", |
| "format": "parquet", |
| "geometry_type": null, |
| "crs": null, |
| "bbox": null, |
| "last_indexed": "2026-07-27T17:39:43.971562", |
| "last_enriched": "2026-07-27T17:39:52.516368" |
| }, |
| "combul2_seasonal": { |
| "path": "birds/combul2_seasonal.parquet", |
| "description": "Per-season relative abundance of Common Bulbul (Pycnonotus barbatus) on an H3 hexagon grid (~59 km cells). Long format: one row per hexagon PER SEASON, with a `season` column taking values breeding, nonbreeding, prebreeding_migration and postbreeding_migration (or `resident` for non-migratory species), and `abundance_mean` giving that season's modelled abundance. Predicted-absent cells are excluded. Use this for any question about seasonal or temporal change \u2014 where the species winters versus breeds, how its distribution shifts through the year, or migration patterns. Filter with WHERE season = '...' to map a single season, or return all seasons to compare them on one map.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains H3 spatial hexagonal grid cells modeling the seasonal relative abundance of the Common Bulbul (Pycnonotus barbatus) across its distribution range. Each grid cell includes mean abundance metrics, seasonal status classifications, and fine-scale spatial geometries. It is commonly used for avian species distribution modeling, seasonal habitat monitoring, spatial ecology research, and biodiversity conservation planning.", |
| "tags": [ |
| "species", |
| "biodiversity", |
| "wildlife", |
| "conservation", |
| "grid", |
| "h3", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "season", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 1179, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -18.334419593780773, |
| -34.32104087273234, |
| 45.30707913065875, |
| 38.370323028179754 |
| ], |
| "last_indexed": "2026-07-27T17:36:06.053007", |
| "last_enriched": "2026-07-27T17:36:14.761251" |
| }, |
| "magrob_regional": { |
| "path": "birds/magrob_regional.parquet", |
| "description": "Regional seasonal statistics for Oriental Magpie-Robin (Copsychus saularis), one row per region per season. NON-SPATIAL attribute table (no geometry \u2014 results from it cannot be mapped directly; join to an administrative boundary table to map them). `region_type` is either 'country' or 'state' ('state' covers states, provinces and equivalent subdivisions). `region_code` is a 3-letter ISO country code for countries (e.g. 'USA', 'CAN', 'MEX') and COUNTRY-SUBDIVISION for states (e.g. 'USA-CA' for California, 'USA-NY', 'CAN-ON'); `region_name` is the plain name (e.g. 'Alabama'). To get US states use WHERE region_type = 'state' AND region_code LIKE 'USA-%'. `season` is one of breeding, nonbreeding, prebreeding_migration, postbreeding_migration (or 'resident'), so filter or aggregate by season \u2014 summing across seasons double-counts. Measures: `abundance_mean`, `total_pop_percent` and `continent_pop_percent` (share of population), `range_occupied_percent`, `range_total_percent`, `range_days_occupation`, `max_week` and `max_week_percent_pop` (week of peak abundance). Use for ranking or charting which countries or states hold the most of this species.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains seasonal administrative statistics for the Oriental Magpie-Robin across various country and subnational region levels within its range in Asia. It details regional relative abundance, population percentages, range occupancy metrics, and timing of peak occurrence throughout different seasons. Common use cases include evaluating regional population distribution, assessing species occupancy across administrative boundaries, and supporting biodiversity reporting and conservation planning.", |
| "tags": [ |
| "administrative", |
| "asia", |
| "statistics", |
| "biodiversity", |
| "seasonal", |
| "wildlife", |
| "population" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "species_code", |
| "region_type", |
| "region_code", |
| "region_name", |
| "continent_code", |
| "continent_name", |
| "season", |
| "abundance_mean", |
| "total_pop_percent", |
| "continent_pop_percent", |
| "range_occupied_percent", |
| "range_total_percent", |
| "range_days_occupation", |
| "max_week", |
| "max_week_percent_pop", |
| "common_name", |
| "scientific_name" |
| ], |
| "row_count": 387, |
| "category": "birds", |
| "format": "parquet", |
| "geometry_type": null, |
| "crs": null, |
| "bbox": null, |
| "last_indexed": "2026-07-27T17:39:01.136492", |
| "last_enriched": "2026-07-27T17:39:09.902709" |
| }, |
| "sancra_weekly": { |
| "path": "birds/sancra_weekly.parquet", |
| "description": "WEEKLY relative abundance of Sandhill Crane (Antigone canadensis) on an H3 hexagon grid (~59 km cells) \u2014 the finest temporal resolution available, and the basis for animating the species' movement through the year. Long format: one row per hexagon PER WEEK, 52 weeks of 2023. Columns: `week_start` (ISO date of the week, e.g. '2023-05-10'), `week_index` (1-52, cheap to order and filter by), and `abundance_mean`. Predicted-absent cells are excluded. IMPORTANT: for any question about change over time, migration timing, or an animation ('how does it move through the year', 'show the migration', 'when does it arrive'), return ALL 52 weeks including `week_start` \u2014 the map plays them as a time series. Only filter to a single week when the user asks about one specific date or week. Use `_seasonal` instead for coarse four-season comparisons, and `_abundance` for a single year-round summary.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains spatiotemporal weekly relative abundance predictions for the Sandhill Crane modeled across H3 hexagonal grid cells. It records standardized weekly mean abundance estimates alongside spatial hexagon geometries across the species' distribution range. Common use cases include analyzing seasonal migration timing, identifying critical breeding and wintering habitats, and supporting time-sensitive avian conservation planning.", |
| "tags": [ |
| "timeseries", |
| "modeled", |
| "biodiversity", |
| "wildlife", |
| "conservation", |
| "grid", |
| "h3", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "week_start", |
| "week_index", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 36232, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -179.9025861723359, |
| 20.72182815565036, |
| 183.30039685198088, |
| 75.59909885393932 |
| ], |
| "last_indexed": "2026-07-27T17:42:16.230482", |
| "last_enriched": "2026-07-27T17:42:24.846561" |
| }, |
| "rucspa1_abundance": { |
| "path": "birds/rucspa1_abundance.parquet", |
| "description": "Full-year mean relative abundance of Rufous-collared Sparrow (Zonotrichia capensis) on an H3 hexagon grid (~26 km cells, resampled from eBird's native 27 km grid). One row per hexagon; the `abundance_mean` column is the modelled average count of individuals detected on a standard eBird checklist, averaged across all 52 weeks of the year. Predicted-absent (zero abundance) cells are excluded, so every row is a location where the species is predicted to occur. Use for mapping where this species occurs and how densely, and for choropleth abundance maps.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains spatial H3 hexagonal grid cells representing modeled relative abundance data for the Rufous-collared Sparrow (*Zonotrichia capensis*) across its Neotropical range. Each spatial cell includes mean abundance metrics, species identifiers, and standardized boundary geometries derived from eBird Status and Trends products. It is primarily used for avian species distribution modeling, biodiversity mapping, ecological spatial analysis, and targeted habitat conservation planning.", |
| "tags": [ |
| "abundance", |
| "h3-grid", |
| "ebird", |
| "biodiversity", |
| "conservation", |
| "avian", |
| "species-distribution", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 6015, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -93.51865596834675, |
| -56.296364046092975, |
| -34.95809527738008, |
| 19.38867764799362 |
| ], |
| "last_indexed": "2026-07-27T17:40:57.003304", |
| "last_enriched": "2026-07-27T17:41:05.066363" |
| }, |
| "combul2_regional": { |
| "path": "birds/combul2_regional.parquet", |
| "description": "Regional seasonal statistics for Common Bulbul (Pycnonotus barbatus), one row per region per season. NON-SPATIAL attribute table (no geometry \u2014 results from it cannot be mapped directly; join to an administrative boundary table to map them). `region_type` is either 'country' or 'state' ('state' covers states, provinces and equivalent subdivisions). `region_code` is a 3-letter ISO country code for countries (e.g. 'USA', 'CAN', 'MEX') and COUNTRY-SUBDIVISION for states (e.g. 'USA-CA' for California, 'USA-NY', 'CAN-ON'); `region_name` is the plain name (e.g. 'Alabama'). To get US states use WHERE region_type = 'state' AND region_code LIKE 'USA-%'. `season` is one of breeding, nonbreeding, prebreeding_migration, postbreeding_migration (or 'resident'), so filter or aggregate by season \u2014 summing across seasons double-counts. Measures: `abundance_mean`, `total_pop_percent` and `continent_pop_percent` (share of population), `range_occupied_percent`, `range_total_percent`, `range_days_occupation`, `max_week` and `max_week_percent_pop` (week of peak abundance). Use for ranking or charting which countries or states hold the most of this species.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains non-spatial regional and country-level administrative statistics for the Common Bulbul (Pycnonotus barbatus) across its geographic distribution in Africa and adjacent regions. It summarizes seasonal relative abundance, total and continental population percentages, range occupancy metrics, and peak timing across various administrative boundaries. Common use cases include regional biodiversity assessments, comparative population analysis across jurisdictions, and prioritizing administrative units for avian conservation planning.", |
| "tags": [ |
| "administrative", |
| "africa", |
| "statistics", |
| "biodiversity", |
| "seasonal", |
| "wildlife", |
| "population", |
| "conservation" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "species_code", |
| "region_type", |
| "region_code", |
| "region_name", |
| "continent_code", |
| "continent_name", |
| "season", |
| "abundance_mean", |
| "total_pop_percent", |
| "continent_pop_percent", |
| "range_occupied_percent", |
| "range_total_percent", |
| "range_days_occupation", |
| "max_week", |
| "max_week_percent_pop", |
| "common_name", |
| "scientific_name" |
| ], |
| "row_count": 723, |
| "category": "birds", |
| "format": "parquet", |
| "geometry_type": null, |
| "crs": null, |
| "bbox": null, |
| "last_indexed": "2026-07-27T17:35:56.353000", |
| "last_enriched": "2026-07-27T17:36:05.360270" |
| }, |
| "woothr_weekly": { |
| "path": "birds/woothr_weekly.parquet", |
| "description": "WEEKLY relative abundance of Wood Thrush (Hylocichla mustelina) on an H3 hexagon grid (~59 km cells) \u2014 the finest temporal resolution available, and the basis for animating the species' movement through the year. Long format: one row per hexagon PER WEEK, 52 weeks of 2023. Columns: `week_start` (ISO date of the week, e.g. '2023-05-10'), `week_index` (1-52, cheap to order and filter by), and `abundance_mean`. Predicted-absent cells are excluded. IMPORTANT: for any question about change over time, migration timing, or an animation ('how does it move through the year', 'show the migration', 'when does it arrive'), return ALL 52 weeks including `week_start` \u2014 the map plays them as a time series. Only filter to a single week when the user asks about one specific date or week. Use `_seasonal` instead for coarse four-season comparisons, and `_abundance` for a single year-round summary.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains weekly modeled relative abundance estimates for the Wood Thrush (*Hylocichla mustelina*) structured across an H3 spatial hexagonal grid. It captures dynamic population density across the species' seasonal range at regular weekly intervals throughout the year. Common use cases include analyzing spatio-temporal migration routes, identifying critical seasonal habitats, and informing avian biodiversity conservation planning.", |
| "tags": [ |
| "abundance", |
| "time-series", |
| "biodiversity", |
| "wildlife", |
| "conservation", |
| "grid", |
| "h3", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "week_start", |
| "week_index", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 10263, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -105.52685292295116, |
| 7.254986079895192, |
| -64.21355497520872, |
| 50.41984208665495 |
| ], |
| "last_indexed": "2026-07-27T17:44:29.614001", |
| "last_enriched": "2026-07-27T17:44:38.208941" |
| }, |
| "arcter_seasonal": { |
| "path": "birds/arcter_seasonal.parquet", |
| "description": "Per-season relative abundance of Arctic Tern (Sterna paradisaea) on an H3 hexagon grid (~59 km cells). Long format: one row per hexagon PER SEASON, with a `season` column taking values breeding, nonbreeding, prebreeding_migration and postbreeding_migration (or `resident` for non-migratory species), and `abundance_mean` giving that season's modelled abundance. Predicted-absent cells are excluded. Use this for any question about seasonal or temporal change \u2014 where the species winters versus breeds, how its distribution shifts through the year, or migration patterns. Filter with WHERE season = '...' to map a single season, or return all seasons to compare them on one map. COVERAGE LIMIT: eBird's continuous seasonal grid does not extend to the Southern Ocean and Antarctica, where this species spends the nonbreeding season. There is therefore NO nonbreeding range or season for it, and the weekly data covers 36 of 52 weeks. Do not describe its wintering grounds from this data, and do not present its seasonal coverage as complete.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains spatial H3 hexagon grid cells depicting the seasonal relative abundance and geographic distribution of the Arctic Tern (*Sterna paradisaea*). It provides mean abundance metrics and spatial geometries categorized across distinct life-cycle seasons, including breeding and migration periods across the species' range. The data is primarily used for avian species distribution modeling, migratory pathway analysis, seasonal habitat assessment, and spatial conservation planning.", |
| "tags": [ |
| "environment", |
| "h3", |
| "biodiversity", |
| "wildlife", |
| "migration", |
| "grid", |
| "species-distribution", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "season", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 4397, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -179.65774252629024, |
| -34.41506874792745, |
| 182.95370678451096, |
| 84.00787348199786 |
| ], |
| "last_indexed": "2026-07-27T17:33:50.253971", |
| "last_enriched": "2026-07-27T17:33:58.661106" |
| }, |
| "norcar_seasonal": { |
| "path": "birds/norcar_seasonal.parquet", |
| "description": "Per-season relative abundance of Northern Cardinal (Cardinalis cardinalis) on an H3 hexagon grid (~59 km cells). Long format: one row per hexagon PER SEASON, with a `season` column taking values breeding, nonbreeding, prebreeding_migration and postbreeding_migration (or `resident` for non-migratory species), and `abundance_mean` giving that season's modelled abundance. Predicted-absent cells are excluded. Use this for any question about seasonal or temporal change \u2014 where the species winters versus breeds, how its distribution shifts through the year, or migration patterns. Filter with WHERE season = '...' to map a single season, or return all seasons to compare them on one map.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains modelled seasonal relative abundance data for the Northern Cardinal (*Cardinalis cardinalis*), aggregated across an H3 hexagonal spatial grid. It records species presence, spatial geometries, and mean relative abundance metrics segmented across ecological seasons. Common use cases include seasonal habitat suitability modeling, species density visualization, and spatial avian conservation planning.", |
| "tags": [ |
| "h3", |
| "biodiversity", |
| "seasonal", |
| "conservation", |
| "hexagonal-grid", |
| "avian", |
| "relative-abundance", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "season", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 645, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -160.24132981720263, |
| 14.675128331509635, |
| -51.88644109424516, |
| 53.93249505694576 |
| ], |
| "last_indexed": "2026-07-27T17:39:53.248650", |
| "last_enriched": "2026-07-27T17:40:00.664006" |
| }, |
| "combul2_weekly": { |
| "path": "birds/combul2_weekly.parquet", |
| "description": "WEEKLY relative abundance of Common Bulbul (Pycnonotus barbatus) on an H3 hexagon grid (~59 km cells) \u2014 the finest temporal resolution available, and the basis for animating the species' movement through the year. Long format: one row per hexagon PER WEEK, 52 weeks of 2023. Columns: `week_start` (ISO date of the week, e.g. '2023-05-10'), `week_index` (1-52, cheap to order and filter by), and `abundance_mean`. Predicted-absent cells are excluded. IMPORTANT: for any question about change over time, migration timing, or an animation ('how does it move through the year', 'show the migration', 'when does it arrive'), return ALL 52 weeks including `week_start` \u2014 the map plays them as a time series. Only filter to a single week when the user asks about one specific date or week. Use `_seasonal` instead for coarse four-season comparisons, and `_abundance` for a single year-round summary.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains weekly relative abundance estimates for the Common Bulbul (Pycnonotus barbatus) aggregated across an H3 hexagonal spatial grid spanning its geographic distribution. It incorporates weekly temporal indices alongside spatial geometries and mean relative abundance values for each grid cell throughout the year. Common use cases include modeling spatiotemporal species distribution, tracking seasonal density shifts, and informing regional avian conservation planning.", |
| "tags": [ |
| "birds", |
| "time-series", |
| "biodiversity", |
| "wildlife", |
| "conservation", |
| "h3", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "week_start", |
| "week_index", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 55054, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -18.334419593780773, |
| -34.32104087273234, |
| 45.30707913065875, |
| 38.370323028179754 |
| ], |
| "last_indexed": "2026-07-27T17:36:15.663872", |
| "last_enriched": "2026-07-27T17:36:23.887779" |
| }, |
| "rucspa1_seasonal": { |
| "path": "birds/rucspa1_seasonal.parquet", |
| "description": "Per-season relative abundance of Rufous-collared Sparrow (Zonotrichia capensis) on an H3 hexagon grid (~59 km cells). Long format: one row per hexagon PER SEASON, with a `season` column taking values breeding, nonbreeding, prebreeding_migration and postbreeding_migration (or `resident` for non-migratory species), and `abundance_mean` giving that season's modelled abundance. Predicted-absent cells are excluded. Use this for any question about seasonal or temporal change \u2014 where the species winters versus breeds, how its distribution shifts through the year, or migration patterns. Filter with WHERE season = '...' to map a single season, or return all seasons to compare them on one map.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains spatial H3 hexagonal grid cells modeling the seasonal relative abundance and presence of the Rufous-crowned Sparrow (*Aimophila ruficeps*) across its geographic distribution range. It provides standardized grid-level relative density estimates across different seasonal states, primarily focusing on resident populations. Common use cases include avian habitat conservation planning, species distribution modeling, and regional spatial biodiversity assessments.", |
| "tags": [ |
| "environment", |
| "ebird", |
| "biodiversity", |
| "distribution", |
| "seasonal", |
| "wildlife", |
| "grid", |
| "h3", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "season", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 1035, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -93.91597624401872, |
| -56.296364046092975, |
| -34.225299325208184, |
| 19.961762258958753 |
| ], |
| "last_indexed": "2026-07-27T17:41:23.284918", |
| "last_enriched": "2026-07-27T17:41:31.482650" |
| }, |
| "sancra_regional": { |
| "path": "birds/sancra_regional.parquet", |
| "description": "Regional seasonal statistics for Sandhill Crane (Antigone canadensis), one row per region per season. NON-SPATIAL attribute table (no geometry \u2014 results from it cannot be mapped directly; join to an administrative boundary table to map them). `region_type` is either 'country' or 'state' ('state' covers states, provinces and equivalent subdivisions). `region_code` is a 3-letter ISO country code for countries (e.g. 'USA', 'CAN', 'MEX') and COUNTRY-SUBDIVISION for states (e.g. 'USA-CA' for California, 'USA-NY', 'CAN-ON'); `region_name` is the plain name (e.g. 'Alabama'). To get US states use WHERE region_type = 'state' AND region_code LIKE 'USA-%'. `season` is one of breeding, nonbreeding, prebreeding_migration, postbreeding_migration (or 'resident'), so filter or aggregate by season \u2014 summing across seasons double-counts. Measures: `abundance_mean`, `total_pop_percent` and `continent_pop_percent` (share of population), `range_occupied_percent`, `range_total_percent`, `range_days_occupation`, `max_week` and `max_week_percent_pop` (week of peak abundance). Use for ranking or charting which countries or states hold the most of this species.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains non-spatial regional statistics aggregated across countries, continents, and subnational administrative entities for the target avian species. It details seasonal metrics including mean relative abundance, total population percentages, and range occupation duration. Common use cases include regional conservation planning, administrative biodiversity reporting, and evaluating seasonal species occurrence patterns.", |
| "tags": [ |
| "administrative", |
| "statistics", |
| "regional", |
| "biodiversity", |
| "seasonal", |
| "wildlife", |
| "population", |
| "conservation" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "species_code", |
| "region_type", |
| "region_code", |
| "region_name", |
| "continent_code", |
| "continent_name", |
| "season", |
| "abundance_mean", |
| "total_pop_percent", |
| "continent_pop_percent", |
| "range_occupied_percent", |
| "range_total_percent", |
| "range_days_occupation", |
| "max_week", |
| "max_week_percent_pop", |
| "common_name", |
| "scientific_name" |
| ], |
| "row_count": 319, |
| "category": "birds", |
| "format": "parquet", |
| "geometry_type": null, |
| "crs": null, |
| "bbox": null, |
| "last_indexed": "2026-07-27T17:41:57.774143", |
| "last_enriched": "2026-07-27T17:42:06.597705" |
| }, |
| "sancra_range": { |
| "path": "birds/sancra_range.parquet", |
| "description": "Seasonal range boundaries for Sandhill Crane (Antigone canadensis) as polygons, one per season (breeding, nonbreeding, prebreeding_migration, postbreeding_migration), each with the season's start and end dates. Use for showing where the species is found in a given season, comparing breeding versus wintering ranges, and clipping or filtering other layers to a species' range.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This spatial dataset contains seasonal range polygons for the Sandhill Crane (*Antigone canadensis*) based on 2023 eBird Status and Trends predictions. It delineates the species' geographic scope across North America into distinct seasonal periods, including breeding, nonbreeding, and migratory ranges. The dataset is ideal for avian conservation planning, seasonal distribution mapping, and analyzing migratory range dynamics.", |
| "tags": [ |
| "boundaries", |
| "ebird", |
| "biodiversity", |
| "polygons", |
| "seasonal", |
| "wildlife", |
| "conservation", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "species_code", |
| "scientific_name", |
| "common_name", |
| "prediction_year", |
| "type", |
| "season", |
| "start_date", |
| "end_date", |
| "geometry" |
| ], |
| "row_count": 4, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "MultiPolygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -179.9999999999999, |
| 21.5489128501967, |
| 180.00000000000009, |
| 74.66549597447919 |
| ], |
| "last_indexed": "2026-07-27T17:41:49.980222", |
| "last_enriched": "2026-07-27T17:41:57.113576" |
| }, |
| "sancra_seasonal": { |
| "path": "birds/sancra_seasonal.parquet", |
| "description": "Per-season relative abundance of Sandhill Crane (Antigone canadensis) on an H3 hexagon grid (~59 km cells). Long format: one row per hexagon PER SEASON, with a `season` column taking values breeding, nonbreeding, prebreeding_migration and postbreeding_migration (or `resident` for non-migratory species), and `abundance_mean` giving that season's modelled abundance. Predicted-absent cells are excluded. Use this for any question about seasonal or temporal change \u2014 where the species winters versus breeds, how its distribution shifts through the year, or migration patterns. Filter with WHERE season = '...' to map a single season, or return all seasons to compare them on one map.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains spatial H3 hexagonal grid cells recording seasonal relative abundance metrics for the Sandhill Crane (`sancra`). Covering the species' geographic distribution across its breeding, nonbreeding, and migratory seasons, the dataset provides standardized density values mapped across discrete spatial units. It is ideal for seasonal species distribution mapping, spatial conservation planning, and evaluating avian habitat utilization patterns.", |
| "tags": [ |
| "abundance", |
| "birds", |
| "ebird", |
| "biodiversity", |
| "seasonal", |
| "wildlife", |
| "conservation", |
| "h3", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "season", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 4647, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -179.9025861723359, |
| 20.72182815565036, |
| 183.30039685198088, |
| 75.59909885393932 |
| ], |
| "last_indexed": "2026-07-27T17:42:07.300316", |
| "last_enriched": "2026-07-27T17:42:15.514769" |
| }, |
| "rucspa1_regional": { |
| "path": "birds/rucspa1_regional.parquet", |
| "description": "Regional seasonal statistics for Rufous-collared Sparrow (Zonotrichia capensis), one row per region per season. NON-SPATIAL attribute table (no geometry \u2014 results from it cannot be mapped directly; join to an administrative boundary table to map them). `region_type` is either 'country' or 'state' ('state' covers states, provinces and equivalent subdivisions). `region_code` is a 3-letter ISO country code for countries (e.g. 'USA', 'CAN', 'MEX') and COUNTRY-SUBDIVISION for states (e.g. 'USA-CA' for California, 'USA-NY', 'CAN-ON'); `region_name` is the plain name (e.g. 'Alabama'). To get US states use WHERE region_type = 'state' AND region_code LIKE 'USA-%'. `season` is one of breeding, nonbreeding, prebreeding_migration, postbreeding_migration (or 'resident'), so filter or aggregate by season \u2014 summing across seasons double-counts. Measures: `abundance_mean`, `total_pop_percent` and `continent_pop_percent` (share of population), `range_occupied_percent`, `range_total_percent`, `range_days_occupation`, `max_week` and `max_week_percent_pop` (week of peak abundance). Use for ranking or charting which countries or states hold the most of this species.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains regional and national administrative statistics on the seasonal distribution and relative population metrics for the Rufous-collared Sparrow (`rucspa1`). It includes metrics such as mean relative abundance, percentage of total and continental population, range occupation percentages, and peak weekly occupancy timing across affected countries and continents within the species' range. Common use cases include regional conservation planning, administrative biodiversity reporting, and seasonal range analysis.", |
| "tags": [ |
| "administrative", |
| "birds", |
| "statistics", |
| "regional", |
| "biodiversity", |
| "seasonal", |
| "wildlife", |
| "population", |
| "conservation" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "species_code", |
| "region_type", |
| "region_code", |
| "region_name", |
| "continent_code", |
| "continent_name", |
| "season", |
| "abundance_mean", |
| "total_pop_percent", |
| "continent_pop_percent", |
| "range_occupied_percent", |
| "range_total_percent", |
| "range_days_occupation", |
| "max_week", |
| "max_week_percent_pop", |
| "common_name", |
| "scientific_name" |
| ], |
| "row_count": 272, |
| "category": "birds", |
| "format": "parquet", |
| "geometry_type": null, |
| "crs": null, |
| "bbox": null, |
| "last_indexed": "2026-07-27T17:41:13.579246", |
| "last_enriched": "2026-07-27T17:41:22.525766" |
| }, |
| "sancra_abundance": { |
| "path": "birds/sancra_abundance.parquet", |
| "description": "Full-year mean relative abundance of Sandhill Crane (Antigone canadensis) on an H3 hexagon grid (~26 km cells, resampled from eBird's native 27 km grid). One row per hexagon; the `abundance_mean` column is the modelled average count of individuals detected on a standard eBird checklist, averaged across all 52 weeks of the year. Predicted-absent (zero abundance) cells are excluded, so every row is a location where the species is predicted to occur. Use for mapping where this species occurs and how densely, and for choropleth abundance maps.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "", |
| "tags": [ |
| "abundance", |
| "h3-grid", |
| "birds", |
| "ebird", |
| "biodiversity", |
| "wildlife", |
| "species-distribution", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 9556, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -179.94556293106166, |
| 21.43684889944936, |
| 181.16259205498733, |
| 74.79606247583874 |
| ], |
| "last_indexed": "2026-07-27T17:41:42.552688", |
| "last_enriched": "2026-07-27T17:41:49.075813" |
| }, |
| "norcar_abundance": { |
| "path": "birds/norcar_abundance.parquet", |
| "description": "Full-year mean relative abundance of Northern Cardinal (Cardinalis cardinalis) on an H3 hexagon grid (~26 km cells, resampled from eBird's native 27 km grid). One row per hexagon; the `abundance_mean` column is the modelled average count of individuals detected on a standard eBird checklist, averaged across all 52 weeks of the year. Predicted-absent (zero abundance) cells are excluded, so every row is a location where the species is predicted to occur. Use for mapping where this species occurs and how densely, and for choropleth abundance maps.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains H3 hexagonal spatial grid cells modeling predicted relative abundance for the Northern Cardinal (*Cardinalis cardinalis*). Across 3,574 spatial units, it provides mean species abundance metrics alongside spatial geometries and H3 index identifiers. It is commonly used for avian species distribution mapping, relative population density visualizations, and spatial conservation planning.", |
| "tags": [ |
| "h3", |
| "biodiversity", |
| "wildlife", |
| "conservation", |
| "grid", |
| "avian", |
| "species-distribution", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 3574, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -160.24132981720263, |
| 15.343634222035536, |
| -52.45325587424143, |
| 53.86776941130842 |
| ], |
| "last_indexed": "2026-07-27T17:39:26.655136", |
| "last_enriched": "2026-07-27T17:39:33.571913" |
| }, |
| "combul2_range": { |
| "path": "birds/combul2_range.parquet", |
| "description": "Seasonal range boundaries for Common Bulbul (Pycnonotus barbatus) as polygons, one per season (breeding, nonbreeding, prebreeding_migration, postbreeding_migration), each with the season's start and end dates. Use for showing where the species is found in a given season, comparing breeding versus wintering ranges, and clipping or filtering other layers to a species' range.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains seasonal distribution range polygons for the Common Bulbul (*Pycnonotus barbatus*) based on 2023 predictive modeling. It delineates the geographic extent of the species' occurrence across its native range in Africa and the Middle East, complete with seasonal timing attributes. Typical use cases include avian habitat mapping, seasonal range extent comparisons, and regional biodiversity conservation planning.", |
| "tags": [ |
| "modeled", |
| "boundaries", |
| "biodiversity", |
| "wildlife", |
| "conservation", |
| "ranges", |
| "avian", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "species_code", |
| "scientific_name", |
| "common_name", |
| "prediction_year", |
| "type", |
| "season", |
| "start_date", |
| "end_date", |
| "geometry" |
| ], |
| "row_count": 1, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "MultiPolygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -17.61957844704816, |
| -33.97182807048386, |
| 44.813049577735995, |
| 37.45494017120892 |
| ], |
| "last_indexed": "2026-07-27T17:35:47.239072", |
| "last_enriched": "2026-07-27T17:35:55.527867" |
| }, |
| "snoowl1_weekly": { |
| "path": "birds/snoowl1_weekly.parquet", |
| "description": "WEEKLY relative abundance of Snowy Owl (Bubo scandiacus) on an H3 hexagon grid (~59 km cells) \u2014 the finest temporal resolution available, and the basis for animating the species' movement through the year. Long format: one row per hexagon PER WEEK, 52 weeks of 2023. Columns: `week_start` (ISO date of the week, e.g. '2023-05-10'), `week_index` (1-52, cheap to order and filter by), and `abundance_mean`. Predicted-absent cells are excluded. IMPORTANT: for any question about change over time, migration timing, or an animation ('how does it move through the year', 'show the migration', 'when does it arrive'), return ALL 52 weeks including `week_start` \u2014 the map plays them as a time series. Only filter to a single week when the user asks about one specific date or week. Use `_seasonal` instead for coarse four-season comparisons, and `_abundance` for a single year-round summary.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This spatial dataset contains weekly H3 hexagonal grid cells modeling the relative abundance of the Snowy Owl (*Bubo scandiacus*) across its distribution range. Each record provides week-by-week predicted relative abundance alongside spatial geometries and temporal identifiers across all 52 weeks of the year. It is designed for analyzing seasonal avian migration dynamics, spatio-temporal population trends, and informing biodiversity conservation planning.", |
| "tags": [ |
| "h3-grid", |
| "birds", |
| "spatio-temporal", |
| "biodiversity", |
| "wildlife", |
| "conservation", |
| "species-distribution", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "week_start", |
| "week_index", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 9344, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -179.9191380160253, |
| 35.008324145001374, |
| 180.22573918145787, |
| 77.64244118477097 |
| ], |
| "last_indexed": "2026-07-27T17:43:01.351023", |
| "last_enriched": "2026-07-27T17:43:08.992910" |
| }, |
| "woothr_regional": { |
| "path": "birds/woothr_regional.parquet", |
| "description": "Regional seasonal statistics for Wood Thrush (Hylocichla mustelina), one row per region per season. NON-SPATIAL attribute table (no geometry \u2014 results from it cannot be mapped directly; join to an administrative boundary table to map them). `region_type` is either 'country' or 'state' ('state' covers states, provinces and equivalent subdivisions). `region_code` is a 3-letter ISO country code for countries (e.g. 'USA', 'CAN', 'MEX') and COUNTRY-SUBDIVISION for states (e.g. 'USA-CA' for California, 'USA-NY', 'CAN-ON'); `region_name` is the plain name (e.g. 'Alabama'). To get US states use WHERE region_type = 'state' AND region_code LIKE 'USA-%'. `season` is one of breeding, nonbreeding, prebreeding_migration, postbreeding_migration (or 'resident'), so filter or aggregate by season \u2014 summing across seasons double-counts. Measures: `abundance_mean`, `total_pop_percent` and `continent_pop_percent` (share of population), `range_occupied_percent`, `range_total_percent`, `range_days_occupation`, `max_week` and `max_week_percent_pop` (week of peak abundance). Use for ranking or charting which countries or states hold the most of this species.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains regional and national administrative boundary summaries for the Wood Thrush (Hylocichla mustelina) across its seasonal migratory range in the Western Hemisphere. It provides detailed seasonal metrics per region, including mean relative abundance, population percentages, and range occupancy duration. Common use cases include regional conservation planning, evaluating species distribution across political jurisdictions, and analyzing seasonal population dynamics.", |
| "tags": [ |
| "administrative", |
| "birds", |
| "statistics", |
| "regional", |
| "biodiversity", |
| "population", |
| "conservation" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "species_code", |
| "region_type", |
| "region_code", |
| "region_name", |
| "continent_code", |
| "continent_name", |
| "season", |
| "abundance_mean", |
| "total_pop_percent", |
| "continent_pop_percent", |
| "range_occupied_percent", |
| "range_total_percent", |
| "range_days_occupation", |
| "max_week", |
| "max_week_percent_pop", |
| "common_name", |
| "scientific_name" |
| ], |
| "row_count": 424, |
| "category": "birds", |
| "format": "parquet", |
| "geometry_type": null, |
| "crs": null, |
| "bbox": null, |
| "last_indexed": "2026-07-27T17:44:12.642537", |
| "last_enriched": "2026-07-27T17:44:20.245019" |
| }, |
| "norcar_range": { |
| "path": "birds/norcar_range.parquet", |
| "description": "Seasonal range boundaries for Northern Cardinal (Cardinalis cardinalis) as polygons, one per season (breeding, nonbreeding, prebreeding_migration, postbreeding_migration), each with the season's start and end dates. Use for showing where the species is found in a given season, comparing breeding versus wintering ranges, and clipping or filtering other layers to a species' range.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This spatial dataset contains seasonal range polygons for the Northern Cardinal (*Cardinalis cardinalis*) derived from 2023 eBird Status and Trends models. It defines the species' geographic extent across key annual seasons along with corresponding temporal start and end dates. The dataset is primarily used for avian distribution mapping, seasonal habitat analysis, and ecological conservation planning.", |
| "tags": [ |
| "birds", |
| "boundaries", |
| "ebird", |
| "biodiversity", |
| "distribution", |
| "polygons", |
| "seasonal", |
| "conservation", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "species_code", |
| "scientific_name", |
| "common_name", |
| "prediction_year", |
| "type", |
| "season", |
| "start_date", |
| "end_date", |
| "geometry" |
| ], |
| "row_count": 1, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "MultiPolygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -159.9372031258898, |
| 15.651856588737628, |
| -52.683446934637416, |
| 53.58093032330923 |
| ], |
| "last_indexed": "2026-07-27T17:39:35.282107", |
| "last_enriched": "2026-07-27T17:39:43.200830" |
| }, |
| "woothr_abundance": { |
| "path": "birds/woothr_abundance.parquet", |
| "description": "Full-year mean relative abundance of Wood Thrush (Hylocichla mustelina) on an H3 hexagon grid (~26 km cells, resampled from eBird's native 27 km grid). One row per hexagon; the `abundance_mean` column is the modelled average count of individuals detected on a standard eBird checklist, averaged across all 52 weeks of the year. Predicted-absent (zero abundance) cells are excluded, so every row is a location where the species is predicted to occur. Use for mapping where this species occurs and how densely, and for choropleth abundance maps.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains H3 hexagonal spatial grid cells detailing the modeled mean relative abundance of the Wood Thrush (*Hylocichla mustelina*). Covering the geographic distribution of the species, the dataset provides standardized spatial predictions of relative avian density. Common use cases include spatial conservation planning, species distribution modeling, and habitat suitability assessments for bird population monitoring.", |
| "tags": [ |
| "ebird", |
| "h3", |
| "biodiversity", |
| "ecology", |
| "conservation", |
| "grid", |
| "species-distribution", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 2873, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -104.97883570214432, |
| 7.927392791365904, |
| -65.26446605134421, |
| 50.05344127318272 |
| ], |
| "last_indexed": "2026-07-27T17:43:54.873185", |
| "last_enriched": "2026-07-27T17:44:03.026581" |
| }, |
| "snoowl1_abundance": { |
| "path": "birds/snoowl1_abundance.parquet", |
| "description": "Full-year mean relative abundance of Snowy Owl (Bubo scandiacus) on an H3 hexagon grid (~26 km cells, resampled from eBird's native 27 km grid). One row per hexagon; the `abundance_mean` column is the modelled average count of individuals detected on a standard eBird checklist, averaged across all 52 weeks of the year. Predicted-absent (zero abundance) cells are excluded, so every row is a location where the species is predicted to occur. Use for mapping where this species occurs and how densely, and for choropleth abundance maps.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains H3 hexagonal grid cells representing modeled relative abundance estimates for the Snowy Owl (*Bubo scandiacus*). It covers the spatial distribution of predicted species occurrences across its modeled range based on eBird Status and Trends relative abundance estimates. Common use cases include spatial avian distribution modeling, species occurrence mapping, habitat suitability analysis, and biodiversity conservation planning.", |
| "tags": [ |
| "h3-grid", |
| "ebird", |
| "biodiversity", |
| "wildlife", |
| "conservation", |
| "avian", |
| "species-distribution", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 3368, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -179.35284655076111, |
| 35.463677063568944, |
| 179.69277605232054, |
| 76.98919705288482 |
| ], |
| "last_indexed": "2026-07-27T17:42:25.557656", |
| "last_enriched": "2026-07-27T17:42:34.101124" |
| }, |
| "norcar_weekly": { |
| "path": "birds/norcar_weekly.parquet", |
| "description": "WEEKLY relative abundance of Northern Cardinal (Cardinalis cardinalis) on an H3 hexagon grid (~59 km cells) \u2014 the finest temporal resolution available, and the basis for animating the species' movement through the year. Long format: one row per hexagon PER WEEK, 52 weeks of 2023. Columns: `week_start` (ISO date of the week, e.g. '2023-05-10'), `week_index` (1-52, cheap to order and filter by), and `abundance_mean`. Predicted-absent cells are excluded. IMPORTANT: for any question about change over time, migration timing, or an animation ('how does it move through the year', 'show the migration', 'when does it arrive'), return ALL 52 weeks including `week_start` \u2014 the map plays them as a time series. Only filter to a single week when the user asks about one specific date or week. Use `_seasonal` instead for coarse four-season comparisons, and `_abundance` for a single year-round summary.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains weekly relative abundance estimates and spatial polygons for the Northern Cardinal (*Cardinalis cardinalis*) modeled on an H3 hexagonal grid. It tracks temporal dynamics across 52 weeks using mean relative abundance metrics within standardized spatial resolution cells. Typical use cases include investigating seasonal species occurrence patterns, analyzing intra-annual distribution trends, and conducting spatial ecology and avian conservation research.", |
| "tags": [ |
| "temporal", |
| "modeled", |
| "birds", |
| "biodiversity", |
| "seasonal", |
| "ecology", |
| "h3", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "week_start", |
| "week_index", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 31674, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -160.24132981720263, |
| 14.675128331509635, |
| -51.88644109424516, |
| 53.93249505694576 |
| ], |
| "last_indexed": "2026-07-27T17:40:01.474678", |
| "last_enriched": "2026-07-27T17:40:09.710197" |
| }, |
| "snoowl1_range": { |
| "path": "birds/snoowl1_range.parquet", |
| "description": "Seasonal range boundaries for Snowy Owl (Bubo scandiacus) as polygons, one per season (breeding, nonbreeding, prebreeding_migration, postbreeding_migration), each with the season's start and end dates. Use for showing where the species is found in a given season, comparing breeding versus wintering ranges, and clipping or filtering other layers to a species' range.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains seasonal range boundary polygons for the Snowy Owl (Bubo scandiacus), representing its spatial distribution across different periods of the annual cycle based on 2023 eBird status and trends data. It defines geographic extents alongside specific start and end dates for seasonal ranges such as breeding and non-breeding grounds. Common use cases include avian spatial analysis, seasonal habitat mapping, migratory corridor research, and biodiversity conservation planning.", |
| "tags": [ |
| "environment", |
| "boundaries", |
| "ebird", |
| "biodiversity", |
| "polygons", |
| "seasonal", |
| "wildlife", |
| "species-distribution", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "species_code", |
| "scientific_name", |
| "common_name", |
| "prediction_year", |
| "type", |
| "season", |
| "start_date", |
| "end_date", |
| "geometry" |
| ], |
| "row_count": 4, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "MultiPolygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -166.97733482603908, |
| 36.91833745208515, |
| 179.35802038039628, |
| 76.82423350779962 |
| ], |
| "last_indexed": "2026-07-27T17:42:34.788226", |
| "last_enriched": "2026-07-27T17:42:42.540594" |
| }, |
| "arcter_weekly": { |
| "path": "birds/arcter_weekly.parquet", |
| "description": "WEEKLY relative abundance of Arctic Tern (Sterna paradisaea) on an H3 hexagon grid (~59 km cells) \u2014 the finest temporal resolution available, and the basis for animating the species' movement through the year. Long format: one row per hexagon PER WEEK, 52 weeks of 2023. Columns: `week_start` (ISO date of the week, e.g. '2023-05-10'), `week_index` (1-52, cheap to order and filter by), and `abundance_mean`. Predicted-absent cells are excluded. IMPORTANT: for any question about change over time, migration timing, or an animation ('how does it move through the year', 'show the migration', 'when does it arrive'), return ALL 52 weeks including `week_start` \u2014 the map plays them as a time series. Only filter to a single week when the user asks about one specific date or week. Use `_seasonal` instead for coarse four-season comparisons, and `_abundance` for a single year-round summary. COVERAGE LIMIT: eBird's continuous seasonal grid does not extend to the Southern Ocean and Antarctica, where this species spends the nonbreeding season. There is therefore NO nonbreeding range or season for it, and the weekly data covers 36 of 52 weeks. Do not describe its wintering grounds from this data, and do not present its seasonal coverage as complete.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains H3 hexagonal grid cells with weekly modeled relative abundance estimates for the Arctic Tern (*Sterna paradisaea*). Covering the species' global range and migratory pathways throughout the year, it provides fine-scale temporal tracking of avian distribution. It is ideal for analyzing seasonal migration dynamics, identifying critical marine and coastal habitats, and supporting spatial conservation planning.", |
| "tags": [ |
| "marine", |
| "time-series", |
| "ebird", |
| "biodiversity", |
| "conservation", |
| "migration", |
| "avian", |
| "h3", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "week_start", |
| "week_index", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 20501, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -179.65774252629024, |
| -34.41506874792745, |
| 182.95370678451096, |
| 84.00787348199786 |
| ], |
| "last_indexed": "2026-07-27T17:34:00.806383", |
| "last_enriched": "2026-07-27T17:34:08.848501" |
| }, |
| "magrob_weekly": { |
| "path": "birds/magrob_weekly.parquet", |
| "description": "WEEKLY relative abundance of Oriental Magpie-Robin (Copsychus saularis) on an H3 hexagon grid (~59 km cells) \u2014 the finest temporal resolution available, and the basis for animating the species' movement through the year. Long format: one row per hexagon PER WEEK, 52 weeks of 2023. Columns: `week_start` (ISO date of the week, e.g. '2023-05-10'), `week_index` (1-52, cheap to order and filter by), and `abundance_mean`. Predicted-absent cells are excluded. IMPORTANT: for any question about change over time, migration timing, or an animation ('how does it move through the year', 'show the migration', 'when does it arrive'), return ALL 52 weeks including `week_start` \u2014 the map plays them as a time series. Only filter to a single week when the user asks about one specific date or week. Use `_seasonal` instead for coarse four-season comparisons, and `_abundance` for a single year-round summary.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains spatial H3 hexagonal grid cells depicting the weekly modeled relative abundance of the Magnolia Warbler across its geographic range. It tracks species occurrence and density changes throughout 52 annual weekly intervals. Common use cases include analyzing seasonal bird migration patterns, assessing temporal habitat usage, and guiding avian conservation planning.", |
| "tags": [ |
| "time-series", |
| "h3", |
| "biodiversity", |
| "wildlife", |
| "conservation", |
| "migration", |
| "grid", |
| "species-distribution", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "week_start", |
| "week_index", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 39425, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| 68.56417276125592, |
| -9.522263430875402, |
| 123.24381552475647, |
| 36.01874760758879 |
| ], |
| "last_indexed": "2026-07-27T17:39:18.230277", |
| "last_enriched": "2026-07-27T17:39:25.953268" |
| }, |
| "woothr_seasonal": { |
| "path": "birds/woothr_seasonal.parquet", |
| "description": "Per-season relative abundance of Wood Thrush (Hylocichla mustelina) on an H3 hexagon grid (~59 km cells). Long format: one row per hexagon PER SEASON, with a `season` column taking values breeding, nonbreeding, prebreeding_migration and postbreeding_migration (or `resident` for non-migratory species), and `abundance_mean` giving that season's modelled abundance. Predicted-absent cells are excluded. Use this for any question about seasonal or temporal change \u2014 where the species winters versus breeds, how its distribution shifts through the year, or migration patterns. Filter with WHERE season = '...' to map a single season, or return all seasons to compare them on one map.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This spatial dataset consists of H3 hexagonal grid cells detailing the seasonal relative abundance of the Wood Thrush (*Hylocichla mustelina*). Spanning the species' geographic range across different seasons in its annual cycle, the data captures spatial variations during breeding, nonbreeding, and migratory periods. It is primarily used for avian conservation planning, seasonal habitat suitability analysis, and spatial biodiversity modeling.", |
| "tags": [ |
| "ebird", |
| "h3", |
| "biodiversity", |
| "wildlife", |
| "conservation", |
| "grid", |
| "species-distribution", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "season", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 1331, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -105.52685292295116, |
| 7.254986079895192, |
| -64.21355497520872, |
| 50.41984208665495 |
| ], |
| "last_indexed": "2026-07-27T17:44:21.026206", |
| "last_enriched": "2026-07-27T17:44:28.934209" |
| }, |
| "combul2_abundance": { |
| "path": "birds/combul2_abundance.parquet", |
| "description": "Full-year mean relative abundance of Common Bulbul (Pycnonotus barbatus) on an H3 hexagon grid (~26 km cells, resampled from eBird's native 27 km grid). One row per hexagon; the `abundance_mean` column is the modelled average count of individuals detected on a standard eBird checklist, averaged across all 52 weeks of the year. Predicted-absent (zero abundance) cells are excluded, so every row is a location where the species is predicted to occur. Use for mapping where this species occurs and how densely, and for choropleth abundance maps.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains H3 hexagonal grid cells representing predicted relative abundance for the Common Bulbul (*Pycnonotus barbatus*). Each record provides modeled mean relative abundance scores alongside spatial geometry and standardized H3 index identifiers. It is primarily used for species distribution mapping, avian habitat spatial analysis, and biodiversity conservation planning.", |
| "tags": [ |
| "h3-grid", |
| "modeled-data", |
| "biodiversity", |
| "wildlife", |
| "conservation", |
| "avian", |
| "species-distribution", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 7258, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -17.682900163354546, |
| -34.306114848347235, |
| 45.00485391839912, |
| 37.60367598823362 |
| ], |
| "last_indexed": "2026-07-27T17:35:38.651439", |
| "last_enriched": "2026-07-27T17:35:46.445103" |
| }, |
| "woothr_range": { |
| "path": "birds/woothr_range.parquet", |
| "description": "Seasonal range boundaries for Wood Thrush (Hylocichla mustelina) as polygons, one per season (breeding, nonbreeding, prebreeding_migration, postbreeding_migration), each with the season's start and end dates. Use for showing where the species is found in a given season, comparing breeding versus wintering ranges, and clipping or filtering other layers to a species' range.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains spatial range boundary polygons for the Wood Thrush (*Hylocichla mustelina*) covering its seasonal extents across North, Central, and South America for 2023. It categorizes distinct geographic ranges by biological season\u2014including breeding, nonbreeding, and migratory passage\u2014along with specific seasonal date ranges. Common use cases include evaluating seasonal habitat usage, mapping migratory corridors, and supporting avian conservation planning.", |
| "tags": [ |
| "boundaries", |
| "ebird", |
| "biodiversity", |
| "polygons", |
| "wildlife", |
| "conservation", |
| "spatial", |
| "species-range" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "species_code", |
| "scientific_name", |
| "common_name", |
| "prediction_year", |
| "type", |
| "season", |
| "start_date", |
| "end_date", |
| "geometry" |
| ], |
| "row_count": 4, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "MultiPolygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -104.66247529067888, |
| 8.255259298441477, |
| -65.74245108277077, |
| 49.76519514254728 |
| ], |
| "last_indexed": "2026-07-27T17:44:03.753935", |
| "last_enriched": "2026-07-27T17:44:11.850906" |
| }, |
| "snoowl1_seasonal": { |
| "path": "birds/snoowl1_seasonal.parquet", |
| "description": "Per-season relative abundance of Snowy Owl (Bubo scandiacus) on an H3 hexagon grid (~59 km cells). Long format: one row per hexagon PER SEASON, with a `season` column taking values breeding, nonbreeding, prebreeding_migration and postbreeding_migration (or `resident` for non-migratory species), and `abundance_mean` giving that season's modelled abundance. Predicted-absent cells are excluded. Use this for any question about seasonal or temporal change \u2014 where the species winters versus breeds, how its distribution shifts through the year, or migration patterns. Filter with WHERE season = '...' to map a single season, or return all seasons to compare them on one map.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This spatial dataset contains H3 hexagonal grid cells representing seasonal relative abundance estimates for the Snowy Owl (*Bubo scandiacus*). It covers the species' geographic seasonal distribution across its northern latitude range during breeding, nonbreeding, and migratory periods. Common use cases include mapping species occurrence patterns, analyzing seasonal distribution shifts, ecological modeling, and supporting targeted avian conservation planning.", |
| "tags": [ |
| "modeled", |
| "ebird", |
| "h3", |
| "biodiversity", |
| "wildlife", |
| "grid", |
| "species-distribution", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "season", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 1545, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -179.9191380160253, |
| 35.008324145001374, |
| 180.22573918145787, |
| 77.64244118477097 |
| ], |
| "last_indexed": "2026-07-27T17:42:51.896406", |
| "last_enriched": "2026-07-27T17:43:00.558073" |
| }, |
| "magrob_abundance": { |
| "path": "birds/magrob_abundance.parquet", |
| "description": "Full-year mean relative abundance of Oriental Magpie-Robin (Copsychus saularis) on an H3 hexagon grid (~26 km cells, resampled from eBird's native 27 km grid). One row per hexagon; the `abundance_mean` column is the modelled average count of individuals detected on a standard eBird checklist, averaged across all 52 weeks of the year. Predicted-absent (zero abundance) cells are excluded, so every row is a location where the species is predicted to occur. Use for mapping where this species occurs and how densely, and for choropleth abundance maps.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains standardized H3 hexagonal spatial grid cells modeling the relative abundance and spatial distribution of the Oriental Magpie-Robin (*Copsychus saularis*). Spanning the species' geographic range, it provides polygon geometries paired with mean relative abundance values for each spatial bin. Common use cases include avian biodiversity modeling, ecological habitat assessments, species distribution mapping, and spatial conservation planning.", |
| "tags": [ |
| "birds", |
| "ebird", |
| "h3", |
| "biodiversity", |
| "ecology", |
| "conservation", |
| "grid", |
| "species-distribution", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 4566, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| 68.57961115191166, |
| -9.006008036488815, |
| 122.62601057579938, |
| 35.27626248084722 |
| ], |
| "last_indexed": "2026-07-27T17:38:41.798208", |
| "last_enriched": "2026-07-27T17:38:49.834602" |
| }, |
| "arcter_range": { |
| "path": "birds/arcter_range.parquet", |
| "description": "Seasonal range boundaries for Arctic Tern (Sterna paradisaea) as polygons, one per season (breeding, nonbreeding, prebreeding_migration, postbreeding_migration), each with the season's start and end dates. Use for showing where the species is found in a given season, comparing breeding versus wintering ranges, and clipping or filtering other layers to a species' range. COVERAGE LIMIT: eBird's continuous seasonal grid does not extend to the Southern Ocean and Antarctica, where this species spends the nonbreeding season. There is therefore NO nonbreeding range or season for it, and the weekly data covers 36 of 52 weeks. Do not describe its wintering grounds from this data, and do not present its seasonal coverage as complete.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This spatial dataset contains seasonal range boundary polygons for the Arctic Tern (*Sterna paradisaea*) mapped for the 2023 prediction year. It outlines the geographic extent of the species' occurrence across different phases of its annual cycle, complete with seasonal start and end dates. Common use cases include seasonal habitat mapping, migratory trajectory analysis, and species distribution modeling for biodiversity conservation.", |
| "tags": [ |
| "birds", |
| "boundaries", |
| "ebird", |
| "biodiversity", |
| "wildlife", |
| "conservation", |
| "species-distribution", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "species_code", |
| "scientific_name", |
| "common_name", |
| "prediction_year", |
| "type", |
| "season", |
| "start_date", |
| "end_date", |
| "geometry" |
| ], |
| "row_count": 3, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "MultiPolygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -179.99999999999986, |
| -33.68856453380571, |
| 179.99945219580093, |
| 83.63583423688551 |
| ], |
| "last_indexed": "2026-07-27T17:33:33.146650", |
| "last_enriched": "2026-07-27T17:33:40.960404" |
| }, |
| "arcter_abundance": { |
| "path": "birds/arcter_abundance.parquet", |
| "description": "Full-year mean relative abundance of Arctic Tern (Sterna paradisaea) on an H3 hexagon grid (~26 km cells, resampled from eBird's native 27 km grid). One row per hexagon; the `abundance_mean` column is the modelled average count of individuals detected on a standard eBird checklist, averaged across all 52 weeks of the year. Predicted-absent (zero abundance) cells are excluded, so every row is a location where the species is predicted to occur. Use for mapping where this species occurs and how densely, and for choropleth abundance maps. COVERAGE LIMIT: eBird's continuous seasonal grid does not extend to the Southern Ocean and Antarctica, where this species spends the nonbreeding season. There is therefore NO nonbreeding range or season for it, and the weekly data covers 36 of 52 weeks. Do not describe its wintering grounds from this data, and do not present its seasonal coverage as complete.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains spatial relative abundance metrics for the Arctic Tern (*Sterna paradisaea*) aggregated across an H3 hexagonal grid representing the species' predicted distribution range. It provides modeled mean abundance indices alongside spatial geometries and H3 cell indexes for high-resolution grid analysis. Common use cases include species distribution modeling, migratory route tracking, biodiversity mapping, and spatial conservation planning.", |
| "tags": [ |
| "abundance", |
| "modeled", |
| "birds", |
| "environment", |
| "biodiversity", |
| "grid", |
| "h3", |
| "spatial" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "abundance_mean", |
| "h3_index", |
| "geometry", |
| "species_code", |
| "common_name", |
| "scientific_name", |
| "resolution_km", |
| "h3_resolution" |
| ], |
| "row_count": 11004, |
| "category": "birds", |
| "format": "geoparquet", |
| "geometry_type": "Polygon", |
| "crs": "{\"$schema\": \"https://proj.org/schemas/v0.7/projjson.schema.json\", \"type\": \"GeographicCRS\", \"name\": \"WGS 84\", \"datum_ensemble\": {\"name\": \"World Geodetic System 1984 ensemble\", \"members\": [{\"name\": \"World Geodetic System 1984 (Transit)\"}, {\"name\": \"World Geodetic System 1984 (G730)\"}, {\"name\": \"World Geodetic System 1984 (G873)\"}, {\"name\": \"World Geodetic System 1984 (G1150)\"}, {\"name\": \"World Geodetic System 1984 (G1674)\"}, {\"name\": \"World Geodetic System 1984 (G1762)\"}, {\"name\": \"World Geodetic System 1984 (G2139)\"}, {\"name\": \"World Geodetic System 1984 (G2296)\"}], \"ellipsoid\": {\"name\": \"WGS 84\", \"semi_major_axis\": 6378137, \"inverse_flattening\": 298.257223563}, \"accuracy\": \"2.0\", \"id\": {\"authority\": \"EPSG\", \"code\": 6326}}, \"coordinate_system\": {\"subtype\": \"ellipsoidal\", \"axis\": [{\"name\": \"Geodetic latitude\", \"abbreviation\": \"Lat\", \"direction\": \"north\", \"unit\": \"degree\"}, {\"name\": \"Geodetic longitude\", \"abbreviation\": \"Lon\", \"direction\": \"east\", \"unit\": \"degree\"}]}, \"scope\": \"Horizontal component of 3D system.\", \"area\": \"World.\", \"bbox\": {\"south_latitude\": -90, \"west_longitude\": -180, \"north_latitude\": 90, \"east_longitude\": 180}, \"id\": {\"authority\": \"EPSG\", \"code\": 4326}}", |
| "bbox": [ |
| -179.87740701655508, |
| -33.9335680084283, |
| 180.8140455504894, |
| 83.46691212211444 |
| ], |
| "last_indexed": "2026-07-27T17:33:25.534294", |
| "last_enriched": "2026-07-27T17:33:32.439845" |
| }, |
| "snoowl1_regional": { |
| "path": "birds/snoowl1_regional.parquet", |
| "description": "Regional seasonal statistics for Snowy Owl (Bubo scandiacus), one row per region per season. NON-SPATIAL attribute table (no geometry \u2014 results from it cannot be mapped directly; join to an administrative boundary table to map them). `region_type` is either 'country' or 'state' ('state' covers states, provinces and equivalent subdivisions). `region_code` is a 3-letter ISO country code for countries (e.g. 'USA', 'CAN', 'MEX') and COUNTRY-SUBDIVISION for states (e.g. 'USA-CA' for California, 'USA-NY', 'CAN-ON'); `region_name` is the plain name (e.g. 'Alabama'). To get US states use WHERE region_type = 'state' AND region_code LIKE 'USA-%'. `season` is one of breeding, nonbreeding, prebreeding_migration, postbreeding_migration (or 'resident'), so filter or aggregate by season \u2014 summing across seasons double-counts. Measures: `abundance_mean`, `total_pop_percent` and `continent_pop_percent` (share of population), `range_occupied_percent`, `range_total_percent`, `range_days_occupation`, `max_week` and `max_week_percent_pop` (week of peak abundance). Use for ranking or charting which countries or states hold the most of this species.", |
| "attribution": "eBird Status and Trends, Cornell Lab of Ornithology, 2023 release", |
| "semantic_description": "This dataset contains non-spatial regional statistics for the Snowy Owl (*Bubo scandiacus*), summarized across administrative entities such as countries and subnational jurisdictions within its distribution. It details seasonal relative abundance, global and continental population percentages, range occupancy metrics, and peak timing of presence across 131 regional records. The data is commonly used for regional conservation planning, assessing jurisdiction-level population responsibility, and evaluating seasonal habitat distribution trends.", |
| "tags": [ |
| "administrative", |
| "birds", |
| "statistics", |
| "regional", |
| "biodiversity", |
| "wildlife", |
| "population", |
| "conservation" |
| ], |
| "data_type": "static", |
| "update_frequency": null, |
| "columns": [ |
| "species_code", |
| "region_type", |
| "region_code", |
| "region_name", |
| "continent_code", |
| "continent_name", |
| "season", |
| "abundance_mean", |
| "total_pop_percent", |
| "continent_pop_percent", |
| "range_occupied_percent", |
| "range_total_percent", |
| "range_days_occupation", |
| "max_week", |
| "max_week_percent_pop", |
| "common_name", |
| "scientific_name" |
| ], |
| "row_count": 131, |
| "category": "birds", |
| "format": "parquet", |
| "geometry_type": null, |
| "crs": null, |
| "bbox": null, |
| "last_indexed": "2026-07-27T17:42:43.228469", |
| "last_enriched": "2026-07-27T17:42:51.090783" |
| } |
| } |
|
|
