| { |
| "schema_version": 1, |
| "tables": { |
| "storms": "storm_id: string\nsample_count: int64\nobservation_count: int64\ncase_study: bool\noriginal_index_json: string\n-- schema metadata --\npandas: '{\"index_columns\": [], \"column_indexes\": [], \"columns\": [{\"name\":' + 696", |
| "assets": "asset_id: string\nsha256: string\npath: string\nsize_bytes: int64\nformat: string\nstorm_ids: list<element: string>\n child 0, element: string\nprofiles: list<element: string>\n child 0, element: string\nproducer_ids: list<element: string>\n child 0, element: string\nchannels: list<element: string>\n child 0, element: string\nunits: list<element: null>\n child 0, element: null\nshape: list<element: int64>\n child 0, element: int64\ncrs: string\ntransform: list<element: double>\n child 0, element: double\nnodata: double\n-- schema metadata --\npandas: '{\"index_columns\": [], \"column_indexes\": [], \"columns\": [{\"name\":' + 1709", |
| "observations": "observation_id: string\nstorm_id: string\ntimestamp: timestamp[ns, tz=UTC]\nsource_type: string\nsensor: string\nproduct: string\nasset_id: string\navailable: bool\ncase_study: bool\nmetadata_json: string\nobservation_key: string\nrepresentation: string\nupstream_source_included: bool\ncenter_lat: double\ncenter_lon: double\nheight: double\nwidth: double\nvariables: list<element: string>\n child 0, element: string\n-- schema metadata --\npandas: '{\"index_columns\": [], \"column_indexes\": [], \"columns\": [{\"name\":' + 2272", |
| "samples": "sample_key: string\nsample_id: string\nprocessing_version: string\nstorm_id: string\nasset_ids: list<element: string>\n child 0, element: string\nmetadata_json: string\ngeo_asset_id: string\nhas_geo: bool\nsar_asset_id: string\nhas_sar: bool\nera5_asset_id: string\nhas_era5: bool\npmw_asset_id: string\nhas_pmw: bool\ngeo_timestamp: timestamp[ns, tz=UTC]\nsar_timestamp: timestamp[ns, tz=UTC]\nera5_timestamp: timestamp[ns, tz=UTC]\npmw_timestamp: timestamp[ns, tz=UTC]\ncenter_lat: double\ncenter_lon: double\nibtracs_msw_ms: null\nibtracs_msw_kt: null\nibtracs_mslp_hpa: null\ntarget_wind_ms: double\ntarget_delta_ms: double\ndt_minutes: double\npmw_dt_minutes: double\ngrid_resolution: double\ngeo_channels: list<element: string>\n child 0, element: string\nsar_channels: list<element: string>\n child 0, element: string\nera5_channels: list<element: string>\n child 0, element: string\npmw_channels: list<element: string>\n child 0, element: string\n-- schema metadata --\npandas: '{\"index_columns\": [], \"column_indexes\": [], \"columns\": [{\"name\":' + 4148" |
| }, |
| "extensions": "metadata_json preserves original string values; legacy_row_json preserves original loader values.", |
| "identity": "Processing version + historical sample ID + asset mapping fingerprint. Asset ID is SHA-256.", |
| "cohort_semantics": "Ordered source membership. eligible=null means runtime model filtering is required; never assume matched cohorts." |
| } |
|
|
