publicdata.au publicdata.au on GitHub

Crocodile capture zones, Northern Territory, version 2026-10-06

Rows 9Fields 3Fetched 5 October 2026Source SHA-256 26f9885d9eb99d96…

This version is kept for as long as this site exists, and its URL can be cited. Its files change only for the reasons the terms give, and each change is recorded in its notes. The publisher's file is here as source.zip, byte for byte.

Files

  • data.arrow4.9 KB Arrow: Arrow IPC file (Feather v2), zstd compressed, with the provenance in the schema metadata. Memory-maps in pyarrow, Polars, Arrow JS and R without parsing.
  • data.csv294 B CSV: UTF-8 without a byte-order mark, RFC 4180 quoting, one header row using the normalised field names. Opens in Excel, Numbers and Sheets.
  • data.csv-metadata.json1.8 KB
  • data.csv.gz178 B CSV (gzip): The same CSV, gzipped, at about a tenth of the size. curl, pandas, DuckDB and R read it directly.
  • data.duckdb DuckDB: One DuckDB database with a records table of typed columns, a fields table and a publicdata metadata table. It attaches read-only over HTTPS, so DuckDB, Python and R can query it without downloading it.
  • data.geojson3.3 MB GeoJSON: A FeatureCollection with one feature per row, its polygon in GDA2020, and every field as a property. Ready for QGIS, Leaflet, MapLibre and geopandas.
  • data.gpkg1.4 MB GeoPackage: A GeoPackage with one polygon layer, records, in GDA2020 (EPSG:7844), plus the fields and publicdata tables. Drag it into QGIS or ArcGIS.
  • data.json2.7 KB JSON: One object with a publicdata header (publisher, licence, attribution, version, source hash), a fields list and a records array of 9 objects with typed values. Blank cells are null.
  • data.ndjson2.5 KB NDJSON: The first line is the provenance header, then one JSON object per line. For streaming and for tools that read line by line.
  • data.parquet1.2 MB GeoParquet: every field and the polygon itself as a WKB geometry column in GDA2020, with the coordinate system in the file's geo metadata. Reads directly in DuckDB, GeoPandas, QGIS and GDAL.
  • data.pmtiles363 KB PMTiles: Vector tiles in one PMTiles file, zoom 0 to 10, every field a property. MapLibre and Leaflet read it over HTTPS with range requests, so a map needs no tile server.
  • data.sqlite29 KB SQLite: One database with a records table, a fields table and a publicdata metadata table. Open it with any SQLite client.
  • data.xlsx8.2 KB Excel: One workbook with a records sheet of 9 typed rows, a fields sheet and a publicdata sheet with the provenance. Dates are real Excel dates. Opens in Excel, Numbers, LibreOffice and Sheets.
  • manifest.json1.5 KB
  • schema.json590 B
  • schema.sql735 B
  • source.zip1.4 MB

SHA256SUMS holds the SHA-256 of every file in this version under the name it downloads as. Check what you downloaded with sha256sum -c --ignore-missing SHA256SUMS in the same folder. On a Mac, use shasum -a 256 -c --ignore-missing SHA256SUMS. Each list is signed by the deploy that wrote it: gh attestation verify SHA256SUMS --repo National-Digital/publicdata.au --source-ref refs/heads/main shows it came from this project's main branch.

Change from 2026-10-04

0 rows added, 0 removed and 0 changed by the key zone_code. The full list is in diff/2026-10-04..2026-10-06.json.

Attribution the licence asks for

Parks and Wildlife Commission of the Northern Territory, Northern Territory Government, NT Crocodile Capture Zones and Daily Count, https://data.nt.gov.au/dataset/nt-crocodile-capture-zones-and-daily-count, accessed 5 October 2026, licensed under CC BY 4.0.

Provenance

Fetched from ftp-dlrm.nt.gov.au on 5 October 2026. The portal listed the licence as Creative Commons Attribution at that moment. manifest.json has every detail.

Change from the version before

+0 added · −0 removed · 0 changed

Against 2026-10-04, by the key zone_code. The full list is in diff/2026-10-04..2026-10-06.json.

Other versions: 2026-10-04, 2026-10-13, 2026-10-20.