Catalog columns

Catalog columns#

Every column of the catalog schema. “Facet” columns are categorical filters (Catalog.facets()); “range” columns are numeric and filter with __gte / __lte.

Column	Dtype	Facet	Range
`uid`	`string`
`canonical_key`	`string`
`study_id`	`string`	yes
`collection_name`	`string`
`issue_url`	`string`
`organism`	`string`	yes
`organism_id`	`string`
`tissue`	`string`	yes
`tissue_id`	`string`
`disease`	`string`	yes
`disease_id`	`string`
`development_stage`	`string`	yes
`technology`	`string`	yes
`assay`	`string`	yes
`technology_version`	`string`
`panel_size`	`Int64`		yes
`validation_status`	`string`	yes
`tier`	`string`	yes
`license`	`string`	yes
`license_url`	`string`
`license_noncommercial`	`boolean`	yes
`license_redistributable`	`boolean`
`license_unknown`	`boolean`
`n_obs`	`Int64`		yes
`n_features`	`Int64`		yes
`total_counts`	`Float64`		yes
`zarr_url`	`string`
`card_url`	`string`
`vitessce_url`	`string`
`size_bytes`	`Int64`		yes
`container_tag`	`string`
`sddb_version`	`string`
`published_at`	`string`
`slug`	`string`
`title`	`string`
`pathological`	`boolean`
`product`	`string`
`modality`	`string`
`biomaterial_type`	`string`
`chemistry_version`	`string`
`staining_method`	`list[string]`
`preservation_method`	`string`
`hne_image`	`boolean`
`if_image`	`boolean`
`ftu_annotation`	`boolean`
`mpp`	`Float64`		yes
`image_width`	`Int64`		yes
`image_height`	`Int64`		yes
`magnification`	`string`
`sdata_repr`	`string`
`n_transcripts`	`Int64`		yes
`publication_date`	`string`
`doi`	`string`	yes
`pmid`	`string`
`publication_year`	`string`
`publication_verify_status`	`string`
`sample_id`	`string`
`donor_id`	`string`
`database_version`	`string`
`sddb_id`	`string`
`disease_details`	`string`
`default_table`	`string`
`dataset_url`	`string`
`thumbnail_url`	`string`
`collections`	`list[string]`