[
  {
    "slug": "country-codes",
    "namespace": "reference",
    "name": "Country Codes",
    "description": "ISO 3166-1 country names with their alpha-2 and alpha-3 codes.",
    "file": "country-codes.csv",
    "format": "csv",
    "profile": "frictionless-tabular",
    "schema": {
      "primaryKey": "alpha3",
      "fields": [
        {
          "name": "name",
          "type": "string",
          "title": "Country name",
          "description": "Common English short name of the country.",
          "constraints": {
            "required": true
          }
        },
        {
          "name": "alpha2",
          "type": "string",
          "title": "Alpha-2 code",
          "description": "ISO 3166-1 alpha-2 two-letter code.",
          "constraints": {
            "required": true,
            "unique": true,
            "pattern": "^[A-Z]{2}$"
          }
        },
        {
          "name": "alpha3",
          "type": "string",
          "title": "Alpha-3 code",
          "description": "ISO 3166-1 alpha-3 three-letter code.",
          "constraints": {
            "required": true,
            "unique": true,
            "pattern": "^[A-Z]{3}$"
          }
        }
      ]
    },
    "licenses": [
      {
        "name": "ODbL-1.0",
        "title": "Open Data Commons Open Database License 1.0",
        "path": "https://opendatacommons.org/licenses/odbl/1-0/"
      }
    ],
    "sources": [
      {
        "title": "ISO 3166-1",
        "path": "https://www.iso.org/iso-3166-country-codes.html"
      }
    ],
    "keywords": [
      "countries",
      "iso",
      "reference"
    ],
    "version": "1.0.0"
  },
  {
    "slug": "population-2022",
    "namespace": "reference",
    "name": "World Population 2022",
    "description": "Estimated mid-year population for a sample of countries.",
    "file": "population-2022.csv",
    "format": "csv",
    "dcat": {
      "spatial": {
        "bbox": "POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
      }
    }
  },
  {
    "slug": "co2-emissions",
    "namespace": "reference",
    "name": "CO₂ Emissions per Capita",
    "description": "Tonnes of CO₂ emitted per person for a sample of countries.",
    "file": "co2-emissions.csv",
    "format": "csv"
  },
  {
    "slug": "country-indicators",
    "namespace": "reference",
    "name": "Country Indicators (bundle)",
    "description": "A multi-resource dataset: reference codes plus population and CO₂ indicators for a sample of countries.",
    "keywords": [
      "countries",
      "reference",
      "indicators"
    ],
    "resources": [
      {
        "name": "codes",
        "path": "country-codes.csv",
        "format": "csv",
        "title": "Country codes",
        "description": "ISO 3166-1 names with alpha-2 and alpha-3 codes."
      },
      {
        "name": "population",
        "path": "population-2022.csv",
        "format": "csv",
        "title": "Population 2022",
        "description": "Estimated mid-year population."
      },
      {
        "name": "co2",
        "path": "co2-emissions.csv",
        "format": "csv",
        "title": "CO₂ emissions per capita",
        "description": "Tonnes of CO₂ emitted per person."
      }
    ]
  },
  {
    "slug": "fruit-sales",
    "namespace": "sales",
    "name": "Fruit Sales",
    "description": "Monthly fruit units sold and revenue — a small tabular sample.",
    "file": "fruit-sales.csv",
    "format": "csv",
    "keywords": [
      "sales",
      "fruit"
    ]
  },
  {
    "slug": "region-metrics",
    "namespace": "sales",
    "name": "Region Metrics",
    "description": "Regional sales and ratings, queried in your browser with SQL over DuckDB-Wasm. This resource is Parquet, so the showcase opens a SQL editor instead of a flat preview; point it at a remote Parquet on data.portaljs.com and DuckDB range-reads it in place.",
    "keywords": [
      "sales",
      "regions",
      "duckdb",
      "sql"
    ],
    "resources": [
      {
        "name": "data",
        "path": "https://data.portaljs.com/lfs/datopian/portaljs-catalog/be9d8739eae34b301988bbce4f69182b4b2e150961f1efb6d98fb4d51e1f3fd5",
        "format": "parquet",
        "title": "Region metrics",
        "query": "SELECT region, round(avg(rating), 2) AS avg_rating, sum(sales) AS total_sales\nFROM data\nGROUP BY region\nORDER BY total_sales DESC\nLIMIT 10;"
      }
    ]
  },
  {
    "slug": "world-boundaries",
    "namespace": "reference",
    "name": "World Country Boundaries",
    "description": "Country boundaries for the whole world in two serverless geo tiers derived from the same Natural Earth source: a PMTiles archive the map renders in place (any size, no tile server), and a GeoParquet twin DuckDB-Wasm runs spatial SQL over in place — bbox pre-filter to prune Parquet row groups, then ST_Intersects, rendered as a live overlay. Render tier + query tier on one dataset.",
    "resources": [
      {
        "name": "tiles",
        "title": "Boundaries (PMTiles — render tier)",
        "description": "Vector tiles rendered by MapLibre GL over HTTP range requests; only the tiles in view are fetched, so any dataset size pans and zooms with no tile server.",
        "path": "https://data.portaljs.com/lfs/datopian/portaljs-catalog/14b9f9c68e58e8c2f3b6fd5f6794e0f8196649b9a63bed57ece80cd1c8c18af4",
        "format": "pmtiles"
      },
      {
        "name": "geo",
        "title": "Boundaries (GeoParquet — query tier)",
        "description": "GeoParquet 1.1 (Hilbert-sorted, covering bbox column) queried in place with DuckDB-Wasm + spatial. Pan the map and “Query viewport” to fetch only the features in view; click a feature for its full attributes via a DuckDB point-in-polygon lookup.",
        "path": "https://data.portaljs.com/lfs/datopian/portaljs-catalog/437f70dcc2c8d464be9f2181175c37daa21b533351d4873039f78eff0e79f5f5",
        "format": "geoparquet",
        "query": "-- bbox-first: the covering bbox prunes Parquet row groups (cheap),\n-- then ST_Intersects refines to the exact predicate (only on survivors).\nSELECT name, continent, pop_est, ST_AsGeoJSON(geometry) AS geojson\nFROM data\nWHERE bbox.xmin <= 40 AND bbox.xmax >= -25\n  AND bbox.ymin <= 72 AND bbox.ymax >= 34\n  AND ST_Intersects(geometry, ST_MakeEnvelope(-25, 34, 40, 72))"
      }
    ],
    "licenses": [
      {
        "name": "PDDL-1.0",
        "title": "Public domain (Natural Earth)",
        "path": "https://www.naturalearthdata.com/about/terms-of-use/"
      }
    ],
    "sources": [
      {
        "title": "Natural Earth 1:110m Admin 0 — Countries",
        "path": "https://www.naturalearthdata.com/downloads/110m-cultural-vectors/"
      }
    ],
    "keywords": [
      "boundaries",
      "countries",
      "geospatial",
      "pmtiles",
      "geoparquet",
      "duckdb"
    ],
    "version": "1.1.0"
  },
  {
    "slug": "ds-layout-um-v2",
    "namespace": "budaya-lab",
    "name": "Layout UM v2",
    "description": "Private repository for the DS Layout UM v2 dataset.",
    "keywords": ["layout", "UM", "stage:curated"],
    "access": "restricted",
    "sources": [
      {
        "title": "GitHub repository (sign in for access)",
        "path": "https://github.com/budaya-lab/ds-layout-um-v2",
        "access": "restricted"
      }
    ]
  },
  {
    "slug": "ds-layout-um-v2-hirwan-atd",
    "namespace": "budaya-lab",
    "name": "Layout UM v2 - Annotated",
    "access": "restricted",
    "sources": [
      {
        "title": "GitHub repository (sign in for access)",
        "path": "https://github.com/budaya-lab/ds-layout-um-v2-hirwan-atd",
        "access": "restricted"
      }
    ],
    "description": "152 images from the 60s, used for layout classification. Annotated copy, of ds-layout-um-v2, by Hirwan.",
    "keywords": ["layout", "UM", "stage:annotated"],
    "created": "2026-10-26T00:00:00Z",
    "review": ["verify metadata and access classification before publication"],
    "derivedFrom": [
      {
        "namespace": "budaya-lab",
        "slug": "ds-layout-um-v2"
      }
    ]
  }
]