Where exactly was each crocodile caught?

The publisher does not release trap coordinates. Each capture is placed by its zone, a location group such as a river or creek, and a location name.

How often is it updated?

The publisher adds captures to the file through the year. The September 2026 file runs to 30 September 2026. This site checks it weekly and adds a dated version when the file changes.

Datasets / Northern Territory / Lands, Planning and Environment / Crocodile capture zones and captures, Northern Territory

Crocodile captures, Northern Territory

Name: Crocodile captures, Northern Territory
Creator: Department of Lands, Planning and Environment
Published: 2026-10-04
License: https://creativecommons.org/licenses/by/4.0/

live

Publisher Department of Lands, Planning and EnvironmentUpdated through the yearLicence CC BY 4.0Latest 2026-10-04Rows 5,632Fields 15

The daily capture records of the Parks and Wildlife Commission of the Northern Territory, from the Croc Capture Database, one row per crocodile captured since April 2002. Each row carries the date of capture, scientific and common name, capture method, total length, head length and snout to vent length in centimetres, sex, whether the tail was complete, the region, the capture zone name and code, the location group and the location. The publisher ships the table as a workbook inside the capture zones download.

Also called: NT Crocodile Capture Zones and Daily Count, Darwin Harbour crocodile captures, Crocodile removal records Northern Territory, Croc Capture Database.

Part of Crocodile capture zones and captures, Northern Territory, 2 tables the publisher releases together: Crocodile capture zones, Northern Territory.

Before you use it

What is in each row?: One crocodile captured, with the date, species, capture method, total length, head length and snout to vent length in centimetres, sex, whether the tail was complete, and the region, capture zone, location group and location where it was caught.
Where exactly was each crocodile caught?: The publisher does not release trap coordinates. Each capture is placed by its zone, a location group such as a river or creek, and a location name.
How often is it updated?: The publisher adds captures to the file through the year. The September 2026 file runs to 30 September 2026. This site checks it weekly and adds a dated version when the file changes.

5,632captures

1998 to 2025years drawn

15fields

9formats

1version

DestroyedHandHarpoonNetOtherTrapUnknown

Captures per year by capture method, 1998 to 2025. 2026 is not drawn because the rows run to 1 October 2026. The figure is a count of rows from version 2026-10-04, worked out in the build. Nothing else is added.

Open this dashboard in the explorer Download Query

Made for agents

Connect your AI agent

Any agent that connects to publicdata.au/mcp can find this dataset, read its 15 fields, count and filter across all 5,632 rows and diff its versions. Every answer names the version and carries Lands, Planning and Environment's attribution. No key.

Then ask it: What does Crocodile captures, Northern Territory hold, and what changed in the newest version?

claude mcp add --transport http publicdata https://publicdata.au/mcp

One command. No key, no account, no sign-up.

https://publicdata.au/mcp

Streamable HTTP. Cursor, VS Code or any client that connects to a remote MCP server.

Using https://publicdata.au/llms.txt, how many people died on Queensland roads in 2025, by month?

For an assistant that reads the web and has no connector.

ExploreChart every row in your browser

The dashboard above, live. Click to filter, add panels, share a link or embed a frame.

Query APIFilter and count from a URL

aggregate?group=scientific_name&metric=count&zone_name=eq.Upper%20Harbour

Captures by scientific name where capture zone is Upper Harbour: 1,408 C. porosus, 2 C. johnstoni.

Download it as Excel, CSV, JSON and 6 more formats

Pick a format and a version. Excel is picked first because it opens in the tools most offices have. The URL is yours to keep. A dated version never changes.

Format

Version "Latest" redirects to the newest version and will change when the publisher releases again. A dated version never changes.

https://publicdata.au/d/nt-crocodile-captures/latest/data.xlsx

Download

In your own tools

Use it in Excel, R, Python and more

Excel and Power BI read the CSV from its address and refresh from it. The R and Python packages take any dataset on this site by its slug, so a new dataset needs no new release. The DuckDB file attaches read-only over HTTPS, and a query reads only the blocks it touches.

The dated URL in the code never changes. https://publicdata.au/d/nt-crocodile-captures/latest/ redirects to the newest version.

https://publicdata.au/d/nt-crocodile-captures/latest/data.csv

In Excel choose Data, then From Web, and paste this address. Excel keeps it, so Refresh All reads the newest version. A sheet holds about a million rows; past that, load the query to the Data Model.

https://publicdata.au/d/nt-crocodile-captures/latest/data.csv

In Power BI Desktop choose Get data, then Web, paste this address and choose Anonymous when asked how to sign in. A scheduled refresh reads the same address, so the report follows each new version.

library(publicdataau)
df <- pd_read("nt-crocodile-captures")
pd_attribution(df)

install.packages("publicdataau"). pd_read() fetches the version's Parquet file; pd_rows() and pd_aggregate() ask the query API instead, and pd_connect() attaches the DuckDB file.

import publicdata_au as pd_au
df = pd_au.read("nt-crocodile-captures")
df.attrs["publicdata"]["attribution"]

pip install "publicdata-au[pandas]". read() fetches the version's Parquet file; rows() and aggregate() ask the query API, and connect() attaches the DuckDB file.

INSTALL httpfs; LOAD httpfs;
ATTACH 'https://publicdata.au/d/nt-crocodile-captures/v/2026-10-04/data.duckdb' AS nt_crocodile_captures (READ_ONLY);
SELECT zone_name, count(*) FROM nt_crocodile_captures.records GROUP BY 1 ORDER BY 2 DESC;

The DuckDB file attaches read-only over HTTPS and only the blocks a query touches are read. Parquet works the same way: FROM read_parquet(url).

const res = await fetch("https://publicdata.au/api/v1/datasets/nt-crocodile-captures/aggregate?group=scientific_name&metric=count&zone_name=eq.Upper%20Harbour");
const { rows, publicdata } = await res.json();
console.log(rows, publicdata.attribution);

The query API answers a page on any site as well as Node, with no key. It returns the rows and the attribution the licence asks for.

What is in it

Column names are made snake_case and the publisher's original header is kept beside each one. Blank cells are null. Nothing is added, removed, ranked or summarised. Cells were typed and headers were made snake_case. The publisher's header is kept beside every field in schema.json. Rows were left alone.

Field	Type	Publisher's header	Note
object_id	integer	OBJECTID	The publisher's identifier for the capture.
date_captured	date	DATE_CAPTURED
scientific_name	string	SCIENTIFIC_NAME
common_name	string	COMMON_NAME	Saltwater Crocodile or Freshwater Crocodile.
capture_method	string	CAPTURE_METHOD
total_length_cm	number	TOTAL_LENGTH	From the tip of the snout to the tip of the tail.
head_length_cm	number	HEAD_LENGTH	From the tip of the snout to the end of the dorsal cranial platform.
sex	string	SEX	F, M, or U where unknown.
snout_vent_length_cm	number	SNOUT_VENT_LENGTH
tail_complete	string	TAIL_COMPLETE	Y, N, or U where unknown.
region	string	REGION
zone_name	string	ZONE_NAME
zone_code	integer	ZONE_CODE
group_name	string	GROUP_NAME
location	string	LOCATION

Download this table as a data dictionary (Excel), or read it as a Frictionless Table Schema at schema.json. The key is object_id.

A sample of 10 rows

From the latest version, newest first by date captured, each capture zone in turn, then in the publisher's order, with every field. A blank cell is shown as null.

object_id	date_captured	scientific_name	common_name	capture_method	total_length_cm	head_length_cm	sex	snout_vent_length_cm	tail_complete	region	zone_name	zone_code	group_name	location
5486	2026-10-01	C. porosus	Saltwater Crocodile	Trap	228	31	M	107	U	Darwin	Shoal Bay	6	Hope Inlet	Kings Creek
4910	2026-09-30	C. porosus	Saltwater Crocodile	Trap	183	26	F	90	N	Katherine	Outside Management Zone	7	Katherine River 2	Taylor Park (Katherine)
5027	2026-09-30	C. porosus	Saltwater Crocodile	Trap	210	30	M	99	Y	Darwin	Upper Harbour	4	West Arm	West B
5028	2026-09-30	C. porosus	Saltwater Crocodile	Trap	194	27	M	91	Y	Darwin	Lower Harbour	3	Berry Creek	Berry Mouth B
4655	2026-09-25	C. porosus	Saltwater Crocodile	Trap	241	34	M	112	Y	Darwin	Management Zone	1	Hope Inlet	Little Howard River
4962	2026-08-13	C. porosus	Saltwater Crocodile	Trap	275	38	M	133	Y	Katherine	null	null	Nhulunbuy	Heli Spirit
4829	2026-07-23	C. porosus	Saltwater Crocodile	Trap	400	52	M	184	Y	Katherine	Katherine Zone	2	Katherine River 3	Galloping Jacks (Katherine)
4545	2026-07-17	C. porosus	Saltwater Crocodile	Trap	266	39	M	27	U	Borroloola	Borroloola	8	Borroloola	Borroloola, Council Boat Ramp
4399	2026-06-20	C. porosus	Saltwater Crocodile	Trap	179	26	M	82	Y	Darwin	Litchfield	5	Wangi Creek	Wangi 2 LNP
4652	2026-03-20	C. porosus	Saltwater Crocodile	Trap	315	45	M	150	U	Nhulunbuy	Nhulunbuy	9	Nhulunbuy	Rocky bay Yirrikala

The first row as JSON

As it appears in data.json.

GET https://publicdata.au/d/nt-crocodile-captures/latest/data.json
{
  "object_id": 1,
  "date_captured": "2002-04-06",
  "scientific_name": "C. porosus",
  "common_name": "Saltwater Crocodile",
  "capture_method": "Trap",
  "total_length_cm": 203.0,
  "head_length_cm": 30.0,
  "sex": "F",
  "snout_vent_length_cm": 105.0,
  "tail_complete": "U",
  "region": "Darwin",
  "zone_name": "Management Zone",
  "zone_code": 1,
  "group_name": "Elizabeth River",
  "location": "bees creek"
}

Query it without downloading

The query API returns only the rows you ask for, as JSON, NDJSON or CSV, from the same typed rows as the files. It needs no key. Build a query here and run it, then copy the URL or the code into your own work.

Try rows or aggregate for this dataset. The query builder needs JavaScript.

How filters work

Each filter is field=operator.value in the query string, and every filter must match. A number or date field compares as a number or date, and a text field compares as text. Values are case-sensitive except with ilike. Prefix not. to negate a filter, as not.eq.value.

Operator	What it matches
eq.value	Equal to the value.
neq.value	Not equal to the value. A blank cell does not match.
gt.value	Greater than the value.
gte.value	Greater than or equal to the value.
lt.value	Less than the value.
lte.value	Less than or equal to the value.
like.text	Matches a pattern where * stands for any run of characters. Case-sensitive.
ilike.text	The same as like, ignoring case.
in.(a,b,c)	Equal to any value in the list. A value cannot contain a comma.
is.null	Blank in the source, or suppressed by the publisher.

Parameter	What it does
select	Fields to return, comma-separated. Every field when absent.
order	field.asc or field.desc, comma-separated. The publisher's row order when absent.
limit	Rows per page, 1 to 10,000. 100 when absent.
offset	Rows to skip. The next URL in each answer sets it for you.
group	On aggregate, fields to group by, comma-separated.
metric	On aggregate, count, sum.field, avg.field, min.field or max.field, comma-separated. count when absent.
format	json, ndjson or csv. JSON carries the provenance header, and the others carry it in response headers.

Without a version the API answers from the newest loaded version, and that answer changes when the publisher releases again. Put versions/<date>/ before rows or aggregate for an answer that never changes. /api/v1/datasets/<slug>/versions lists the loaded versions. The 1 newest version is loaded; versions lists them.

The API allows 60 requests in 10 seconds from one address. Above that it answers 429 for 10 seconds with a Retry-After header, a RateLimit-Policy header and a JSON body that gives the limit. Every API answer carries the same RateLimit-Policy. A client should wait the Retry-After seconds, or read the files, which have no limit. openapi.json describes this dataset's query paths for client generators and agents.

https://publicdata.au/mcp is a remote MCP server over Streamable HTTP with the same tools, defined in the same place, so a tool added to the pages is added here too. It needs no key and no account. The row tools are held to the query API's limit of 60 queries in 10 seconds from one address, and each call is two queries because it also counts the matching rows. Add it to Claude Code with claude mcp add --transport http publicdata https://publicdata.au/mcp, add the URL in Claude as a custom connector, or give it to any client that connects to remote MCP servers. Each queryable dataset is also a resource at https://publicdata.au/d/<slug>/fields.json, which lists its fields with their types, the publisher's descriptions, their ranges and the values they hold, so an agent can read a dataset's shape before it writes a query.

Smaller files

The same rows split by a field, one JSON file each. Each file carries the same provenance header.

By zone_name (10 files)

Borroloola Katherine Zone Litchfield Lower Harbour Management Zone Nhulunbuy Outside Management Zone Shoal Bay Upper Harbour blank

by/zone_name/index.json lists every file with its row count.

What changed

One version for every release the publisher has made since this site started following the dataset. The date is the day the file changed on the portal.

2026-10-04
5,632 rows15 fieldszip8deebb530f62

versions.json · changes.json · history.tar.zst (75 KB, every version's Parquet and manifest)

Questions

How do I download Crocodile captures as a CSV file?

Open https://publicdata.au/d/nt-crocodile-captures/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/nt-crocodile-captures/v/2026-10-04/data.csv today. The same path serves Excel, JSON, Parquet, SQLite, DuckDB, NDJSON, Arrow. A dated URL never changes, so use it when the file must stay the same.

Can I open Crocodile captures in Excel?

Yes. https://publicdata.au/d/nt-crocodile-captures/v/2026-10-04/data.xlsx is a workbook with the 5,632 rows on a records sheet, the field list on a second sheet and the provenance on a third. The CSV also opens in Excel. https://publicdata.au/d/nt-crocodile-captures/v/2026-10-04/data.csv.gz is the CSV at about a tenth of the size.

What years does Crocodile captures cover?

The current version covers 1998 to 2025. Each release from Lands, Planning and Environment becomes a new dated version here, and earlier versions stay online.

How often is Crocodile captures updated?

Lands, Planning and Environment releases it through the year. This site checks the portal every week and adds a dated version when the file changes.

Can I use Crocodile captures commercially?

Yes. CC BY 4.0 allows commercial use, redistribution and derived works as long as the attribution is kept. The attribution string is in this page's side column and inside every file.

Is this the official source for Crocodile captures?

No. The publisher is Department of Lands, Planning and Environment, and its page is https://data.nt.gov.au/dataset/nt-crocodile-capture-zones-and-daily-count. This site republishes the publisher's file without changing its content. The original sits beside every version as source.zip with its SHA-256, so the two can be compared.

How do I get only the rows for one zone name?

Every version has one JSON file per value of zone_name, 10 files in the current version, listed with row counts at https://publicdata.au/d/nt-crocodile-captures/v/2026-10-04/by/zone_name/index.json. For example https://publicdata.au/d/nt-crocodile-captures/v/2026-10-04/by/zone_name/upper-harbour.json holds the 1,410 rows where zone_name is Upper Harbour.

What this site did to the data. Cells were typed, headers were renamed and the encoding was made UTF-8. Rows were left alone. The publisher's file sits beside every version as source.zip so the change can be checked.

The publisher releases Crocodile capture zones and captures, Northern Territory as 2 files at once, so all 2 tables here share a version date.

Attribution and citation

The licence requires the publisher's attribution. We ask that you also name publicdata.au and link to the version you used.

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 4 October 2026, licensed under CC BY 4.0. Serialised and versioned by National Digital at publicdata.au, https://publicdata.au/d/nt-crocodile-captures/v/2026-10-04/

The attribution alone is inside every file. Harvard is the author-date form a report or a brief asks for. Paste the HTML on a web page so the links carry.

Licence record

Department of Lands, Planning and Environment states the licence, CC BY 4.0, on its own page, which was read and recorded here on 1 October 2026.

Every fetch reads the licence again and stops when it has changed. The fetch that made version 2026-10-04 read it from data.nt.gov.au on 4 October 2026.

Also published on

Hugging Faceload_dataset("National-Digital/nt-crocodile-captures")
Kagglewith a starter notebook
ZenodoDOI 10.5281/zenodo.23140614

Each copy carries the same attribution and links back to this page.

For agents and tools

datapackage.jsonFrictionless data package pointing at the latest version
schema.jsonTable Schema for every field
schema.xlsxthe same field list as an Excel data dictionary
versions.jsonevery version with date, rows, fields and hash
changes.jsondiff for every consecutive pair
manifest.jsonwhere the bytes came from and when
Query APIfiltered rows and counts without a download
openapi.jsonOpenAPI 3.1 for this dataset's query paths
explore/charts and dashboards in the browser, shareable and embeddable
index.mdthis page as Markdown

This page carries a schema.org Dataset record and is listed in /.well-known/ard.json and /catalog.json.

Source

Department of Lands, Planning and Environment publishes this table on ftp-dlrm.nt.gov.au. Questions about the content go to the publisher. Questions about the files here go to corrections.

Fetched 4 October 2026. Source SHA-256 8deebb530f623784…

Improve this dataset

This page is built from register/nt-crocodile-captures.yaml on GitHub. Anyone can propose a fix to it, such as a clearer description or a field the publisher renamed, as a pull request.

Report a file that differs from the publisher's · How to contribute