Each row is one crocodile sighting reported to the department in 2016. It gives the date, the place and coordinates, the species, the number and estimated size of the crocodiles, what the animal was doing, nearby public use and food sources, whether the department declared it a crocodile of concern, and the outcome.

Why are so many cells n/a or no data?

The publisher writes n/a where a question did not apply and no data where nothing was recorded. Several questions were added or dropped part way through, as the publisher's legend explains, so they are blank for some years. These words are kept as published, except in the coordinate columns where no data is null.

Is every sighting a confirmed crocodile?

No. Most rows are reports from the public. The confirmed by a departmental officer column says whether an officer or delegate confirmed the animal or its presence.

Why does n/a appear in the middle of sentences?

The publisher's file has n/a wherever the free text once read off, so 100m offshore reads 100m n/ashore. The text is kept as published.

Datasets / Queensland / DETSI / Crocodiles in Queensland

CrocWatch crocodile sightings, Queensland, 2016

Name: CrocWatch crocodile sightings, Queensland, 2016
Creator: Department of the Environment, Tourism, Science and Innovation
Published: 2021-07-19
License: https://creativecommons.org/licenses/by/4.0/

live

Publisher Department of the Environment, Tourism, Science and InnovationUpdated no longerLicence CC BY 4.0Latest 2021-07-19Rows 574Fields 57

One row per crocodile sighting reported to the Queensland environment department in 2016. Each row gives the year, the department's reference number, the date sighted and the date the department was contacted, whether the animal was declared a crocodile of concern and whether that was resolved, the management plan zone and council area, the species, the number of crocodiles and the estimated size of the largest, the place and its latitude and longitude, the habitat, nearby public use, the animal's behaviour, nearby food sources and the outcome.

The publisher's column names were shortened to snake_case names. The original header of every column is kept in schema.json. The publisher released this period as its own file, with the same questions as the 2010 to 2015 file, and has not added a later one.

Also called: CrocWatch crocodile sightings 2016, Queensland crocodile reports 2016.

Part of Crocodiles in Queensland, 4 tables the publisher releases together: Crocodile distribution surveys, Queensland, 2000 to 2012, CrocWatch crocodile sightings, Queensland, 2010 to 2015, CrocWatch crocodile sightings, Queensland, January to March 2017.

Before you use it

What is in each row?: Each row is one crocodile sighting reported to the department in 2016. It gives the date, the place and coordinates, the species, the number and estimated size of the crocodiles, what the animal was doing, nearby public use and food sources, whether the department declared it a crocodile of concern, and the outcome.
Why are so many cells n/a or no data?: The publisher writes n/a where a question did not apply and no data where nothing was recorded. Several questions were added or dropped part way through, as the publisher's legend explains, so they are blank for some years. These words are kept as published, except in the coordinate columns where no data is null.
Is every sighting a confirmed crocodile?: No. Most rows are reports from the public. The confirmed by a departmental officer column says whether an officer or delegate confirmed the animal or its presence.
Why does n/a appear in the middle of sentences?: The publisher's file has n/a wherever the free text once read off, so 100m offshore reads 100m n/ashore. The text is kept as published.

572 sightings drawn in 224 cells of 0.05 degrees, the fullest with 29. — Sightings counted in cells of 0.05 degrees. State outlines from the ABS Australian Statistical Geography Standard 2021, CC BY 4.0.

574sightings

57fields

12formats

1version

Open this dashboard in the explorer Download Query

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Connect your AI agent

Any agent that connects to publicdata.au/mcp can find this dataset, read its 57 fields, count and filter across all 574 rows and diff its versions. Every answer names the version and carries DETSI's attribution. No key.

Then ask it: What does CrocWatch crocodile sightings, Queensland, 2016 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

A dashboard over every row. Click to filter, add panels, share a link or embed a frame.

Query APIFilter and count from a URL

aggregate?group=crocodile_of_concern&metric=count&year=eq.2016

Sightings by crocodile of concern where year is 2016: 425 no, 95 yes, 7 n/a.

Download it as Excel, CSV, JSON and 9 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/qld-crocwatch-sightings-2016/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/qld-crocwatch-sightings-2016/latest/ redirects to the newest version.

https://publicdata.au/d/qld-crocwatch-sightings-2016/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/qld-crocwatch-sightings-2016/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("qld-crocwatch-sightings-2016")
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("qld-crocwatch-sightings-2016")
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/qld-crocwatch-sightings-2016/v/2021-07-19/data.duckdb' AS qld_crocwatch_sightings_2016 (READ_ONLY);
SELECT year, count(*) FROM qld_crocwatch_sightings_2016.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/qld-crocwatch-sightings-2016/aggregate?group=crocodile_of_concern&metric=count&year=eq.2016");
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.

Field	Type	Publisher's header	Note
year	integer	Year
crocodile_reference_number	integer	Crocodile Reference Number	The department's reference for the report. A few numbers appear twice.
date_sighted	date	Date Sighted
crocodile_of_concern	string	Crocodile of Concern
resolved_crocodile_of_concern	string	Resolved crocodile of concern
confirmed_by_officer	string	Crocodile confirmed by EHP Officer
zones_1_or_2	string	Zones 1 or 2
crocodile_management_plan	string	Crocodile Management Plan
local_government_authority	string	Local Government Authority
management_plan_zone	string	Crocodile Management Plan Zone Objectives
south_of_boyne_river	string	South of the Boyne River
attack_or_aggressive	string	Crocodile attack or behaving aggressively
location_or_behaviour_a_threat	string	Location or crocodile behaviour is a threat
prevention_barrier_and_stock	string	crocodile prevention barrier and stock
urban_management_area	string	crocodile urban management area (CUMA)
coc_assessment	string	Describe COC assessment
outcome	string	Outcome
date_removed	string	Date crocodile removed
imminent_threat_to_safety	string	Is there an imminent threat to human safety
date_of_contact	date	date of contact with EHP
species	string	Species
number_of_crocodiles	integer	number of crocodiles
size_of_largest_m	string	size of largest crocodile (m) (estimate)	The reporter's estimate in metres. Kept as text because some reports give a range or words.
tracks_left	string	were tracks left
nest_or_slide_present	string	nest or slide present
location	string	location of Crocodile
latitude	number	latitude
longitude	number	longitude
waterway_or_beach	string	name of river creek beach or waterhole
habitat	string	type of habitat
nearest_public_area	string	nearest public area
public_use_type	string	public use type
intensity_of_use	string	intensity of use at time of sighting
intensity_of_use_comments	string	additional comments intensity of use
all_parts_exposed	string	all parts of crocodile exposed
eye_exposed	string	eye part of crocodile exposed
head_exposed	string	head part of crocodile exposed
tail_exposed	string	tail part of crocodile exposed
head_and_back_exposed	string	head and back part of crocodile exposed
gait_high	string	gait high
gait_sliding	string	gait sliding
gait_running	string	gait running
gait_walking	string	gait walking
gait_swimming	string	gait swimming
moving_quickly_or_slowly	string	moving quickly or slowly
direction_of_travel	string	direction of travel of crocodile
two_metres_or_greater	string	Is the crocodile 2 m or greater
in_known_habitat	string	Is the croc in a well known habitat
moving_through	string	Is the crocodile moving through
food_source_fish_frame	string	food source fish frame
food_source_abattoir	string	food source abbattoir
food_source_crab_pots	string	food source crab pots
food_source_smelly_bins	string	food source smelly bins
food_source_boat_ramp	string	food source boat ramp
food_source_dugong	string	food source dugong
food_source_turtle	string	food source turtle
food_source_animal_carcass	string	Food Animal carcass

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

A sample of 10 rows

The ten newest reports by the date the department was contacted, newest first. A blank cell is shown as null.

year	crocodile_reference_number	date_sighted	crocodile_of_concern	resolved_crocodile_of_concern	confirmed_by_officer	zones_1_or_2	crocodile_management_plan	local_government_authority	management_plan_zone	south_of_boyne_river	attack_or_aggressive	location_or_behaviour_a_threat	prevention_barrier_and_stock	urban_management_area	coc_assessment	outcome	date_removed	imminent_threat_to_safety	date_of_contact	species	number_of_crocodiles	size_of_largest_m	tracks_left	nest_or_slide_present	location	latitude	longitude	waterway_or_beach	habitat	nearest_public_area	public_use_type	intensity_of_use	intensity_of_use_comments	all_parts_exposed	eye_exposed	head_exposed	tail_exposed	head_and_back_exposed	gait_high	gait_sliding	gait_running	gait_walking	gait_swimming	moving_quickly_or_slowly	direction_of_travel	two_metres_or_greater	in_known_habitat	moving_through	food_source_fish_frame	food_source_abattoir	food_source_crab_pots	food_source_smelly_bins	food_source_boat_ramp	food_source_dugong	food_source_turtle	food_source_animal_carcass
2016	2016573	2016-12-31	no	n/a	no	null	FALSE	n/a	null	No	n/a	n/a	n/a	n/a	null	n/a	n/a	potential	2016-12-31	estuarine	1	3	null	unknown	Bloomfield River Sighted not far from from Split island- travels river between mouth and heads towards Wujal Wujal.	-15.931746	145.34557	null	null	null	fishing and walking dogs	High	N/A	n/a	n/a	yes	n/a	yes	n/a	n/a	n/a	n/a	yes	slowly	East	Yes	n/a	n/a	n/a	n/a	null	n/a	null	null	null	n/a
2016	2016572	2016-12-31	no	n/a	no	null	FALSE	n/a	null	No	n/a	n/a	n/a	n/a	null	n/a	n/a	potential	2016-12-31	estuarine	1	3.5	null	unknown	Approximately 100m n/ashore directly out from the rocks between Moonlight and Starlights bays, Cape Upstart.	-19.742778	147.752579	null	null	null	The caller reported that there are people in the area who are swimming, fishing, launching boats, water skiing, snorkel…	High	The caller has previously reported an animal in the area on the 20th December 2016. The caller is a local to the area,…	n/a	n/a	yes	n/a	n/a	n/a	n/a	n/a	n/a	yes	slowly	null	n/a	n/a	n/a	n/a	n/a	null	n/a	null	null	null	n/a
2016	2016571	2016-12-31	yes	yes	yes	null	FALSE	Cairns Regional Council	2	No	n/a	Yes	n/a	n/a	null	removed	31/12/2016	potential	2016-12-31	estuarine	1	3m	null	unknown	The Esplanade, Karumba. Inside a fenced yard, Holiday unit complex. Approximately 15m away from the gate which is a fur…	-17.460228	140.827487	null	null	null	The animal is in the yard of the holiday unit complex. At this stage everyone is aware of the animal.	Moderate	The caller reports that the animal has been very placid and 'laid back' The caller also reported that since midnight th…	yes	yes	yes	yes	yes	n/a	n/a	n/a	yes	yes	stationary	null	n/a	n/a	n/a	n/a	n/a	null	n/a	null	null	null	n/a
2016	2016570	2016-12-30	no	n/a	no	null	FALSE	Cairns Regional Council	2	n/a	n/a	n/a	n/a	n/a	null	n/a	n/a	no	2016-12-30	estuarine	1	1m	null	unknown	Skeleton Creek, Cairns. 200m North of Roberts Road Bentley Park. Sighted just beside the water on the Western Side of t…	-16.998682	145.743226	null	null	null	There is a footpath right beside the water	Moderate	The caller reported that since the recent roadworks were completed the creek downstream has been blocked and there is n…	yes	yes	yes	yes	yes	n/a	n/a	n/a	n/a	yes	submerged	null	n/a	n/a	n/a	n/a	n/a	null	n/a	null	null	null	n/a
2016	2016568	2016-12-27	no	n/a	no	null	FALSE	n/a	null	No	n/a	n/a	n/a	n/a	null	n/a	n/a	potential	2016-12-29	unknown	0	null	null	yes	ILLAWONG Beach Mackay QLD	-21.173821	149.195246	null	null	null	Swimming,Fishing,Recreational	High	null	n/a	n/a	n/a	n/a	n/a	n/a	yes	n/a	n/a	n/a	null	null	n/a	n/a	n/a	n/a	n/a	null	n/a	null	null	null	n/a
2016	2016569	2016-12-29	no	n/a	no	null	FALSE	n/a	null	No	n/a	n/a	n/a	n/a	null	n/a	n/a	potential	2016-12-29	estuarine	1	3-4	null	unknown	Animal was seen by a kayaker n/a Dolphin Heads Resort, Mackay. Animal was approximately 20m n/a the beach at the time o…	-21.032559	149.18364	null	null	null	Mixture of recreational water activities. Sighting was made by a kayaker.	Moderate	null	n/a	yes	yes	n/a	n/a	n/a	n/a	n/a	n/a	yes	stationary	null	n/a	n/a	n/a	n/a	n/a	null	n/a	null	null	null	n/a
2016	2016567	2016-12-25	no	n/a	no	null	FALSE	n/a	null	No	n/a	n/a	n/a	n/a	null	n/a	n/a	no	2016-12-28	estuarine	1	3	null	unknown	Second hand information. Seen on the Yeppoon road, near Mount Jim Crow National Park. Reportedly was spotted lying acro…	-23.219593	150.63116	null	null	null	Road. Frequently used. Sighting was on Christmas day when road was very quiet.	Moderate	null	yes	yes	yes	yes	yes	n/a	n/a	n/a	yes	n/a	slowly	North	n/a	n/a	n/a	n/a	n/a	null	n/a	null	null	null	n/a
2016	2016566	2016-12-28	no	n/a	no	null	FALSE	n/a	null	No	n/a	n/a	n/a	n/a	null	n/a	n/a	potential	2016-12-28	estuarine	1	4	null	unknown	Dolphin heads surf life savers (Eimeo) Mackay QLD 200 meters at the front of the club swimming south	-21.031673	149.178007	null	null	null	Swimming,Boating,Fishing,Recreational	High	null	yes	yes	yes	yes	yes	n/a	n/a	n/a	n/a	yes	slowly	South	n/a	n/a	n/a	n/a	n/a	null	n/a	null	null	null	n/a
2016	2016565	2016-12-27	yes	yes	yes	null	FALSE	Townsville Regional Council	2	No	n/a	Yes	n/a	Yes	null	n/a	n/a	potential	2016-12-27	estuarine	1	2.1m	null	unknown	In the lake in the middle of the Willows Golf course. Flow over to the Bohle river.	-19.314868	146.70864	null	null	null	Golf links open everyday of the year. Currently has patrons playing.	High	null	yes	yes	yes	yes	yes	n/a	n/a	n/a	n/a	n/a	null	null	Yes	Yes	n/a	yes	n/a	null	n/a	null	null	null	n/a
2016	2016564	2016-12-23	no	n/a	no	null	FALSE	Cassowary Coast Regional Council	3	No	n/a	Yes	n/a	n/a	null	n/a	n/a	potential	2016-12-24	estuarine	1	4	null	unknown	Carmoo, Cassowary Coast Regional Council. The crocodile was sighted at the boat ramp in Carmoo. The boat ramp is access…	-17.958267	146.060717	null	null	null	The area is used for fishing and launching/retrieving vessels.	High	Adam reported that he had seen a large crocodile several times in the past few weeks at the boat ramp.	yes	yes	yes	yes	yes	n/a	n/a	n/a	yes	n/a	stationary	null	Yes	Yes	n/a	yes	n/a	null	yes	null	null	null	n/a

The first row as JSON

As it appears in data.json.

GET https://publicdata.au/d/qld-crocwatch-sightings-2016/latest/data.json
{
  "year": 2015,
  "crocodile_reference_number": 2016068,
  "date_sighted": "2015-04-05",
  "crocodile_of_concern": "no",
  "resolved_crocodile_of_concern": "n/a",
  "confirmed_by_officer": "no",
  "zones_1_or_2": null,
  "crocodile_management_plan": "FALSE",
  "local_government_authority": "n/a",
  "management_plan_zone": null,
  "south_of_boyne_river": "No",
  "attack_or_aggressive": "n/a",
  "location_or_behaviour_a_threat": "n/a",
  "prevention_barrier_and_stock": "n/a",
  "urban_management_area": "n/a",
  "coc_assessment": null,
  "outcome": "n/a",
  "date_removed": "n/a",
  "imminent_threat_to_safety": "no",
  "date_of_contact": "2016-02-21",
  "species": "estuarine",
  "number_of_crocodiles": 1,
  "size_of_largest_m": "14ft",
  "tracks_left": null,
  "nest_or_slide_present": "unknown",
  "location": "Kondoparinga Station",
  "latitude": -16.684382,
  "longitude": 144.789206,
  "waterway_or_beach": null,
  "habitat": null,
  "nearest_public_area": null,
  "public_use_type": "Station/Property with some small tourism ventures",
  "intensity_of_use": "low",
  "intensity_of_use_comments": null,
  "all_parts_exposed": "yes",
  "eye_exposed": "yes",
  "head_exposed": "yes",
  "tail_exposed": "yes",
  "head_and_back_exposed": "yes",
  "gait_high": "n/a",
  "gait_sliding": "n/a",
  "gait_running": "n/a",
  "gait_walking": "n/a",
  "gait_swimming": "yes",
  "moving_quickly_or_slowly": null,
  "direction_of_travel": null,
  "two_metres_or_greater": "n/a",
  "in_known_habitat": "n/a",
  "moving_through": "n/a",
  "food_source_fish_frame": "n/a",
  "food_source_abattoir": "n/a",
  "food_source_crab_pots": null,
  "food_source_smelly_bins": "n/a",
  "food_source_boat_ramp": null,
  "food_source_dugong": null,
  "food_source_turtle": null,
  "food_source_animal_carcass": "n/a"
}

{
  "year": 2015,
  "crocodile_reference_number": 2016068,
  "date_sighted": "2015-04-05",
  "crocodile_of_concern": "no",
  "resolved_crocodile_of_concern": "n/a",
  "confirmed_by_officer": "no",
  "zones_1_or_2": null,
  "crocodile_management_plan": "FALSE",
  "local_government_authority": "n/a",
  "management_plan_zone": null,
  "south_of_boyne_river": "No",
  "attack_or_aggressive": "n/a",
  "location_or_behaviour_a_threat": "n/a",
  "prevention_barrier_and_stock": "n/a",
  "urban_management_area": "n/a",
  "coc_assessment": null,
  "outcome": "n/a",
  "date_removed": "n/a",
  "imminent_threat_to_safety": "no",
  "date_of_contact": "2016-02-21",
  "species": "estuarine",
  "number_of_crocodiles": 1,
  "size_of_largest_m": "14ft",
  "tracks_left": null,
  "nest_or_slide_present": "unknown",
  "location": "Kondoparinga Station",
  "latitude": -16.684382,
  "longitude": 144.789206,
  "waterway_or_beach": null,
  "habitat": null,
  "nearest_public_area": null,
  "public_use_type": "Station/Property with some small tourism ventures",
  "intensity_of_use": "low",
  "intensity_of_use_comments": null,
  "all_parts_exposed": "yes",
  "eye_exposed": "yes",
  "head_exposed": "yes",
  "tail_exposed": "yes",
  "head_and_back_exposed": "yes",
  "gait_high": "n/a",
  "gait_sliding": "n/a",
  "gait_running": "n/a",
  "gait_walking": "n/a",
  "gait_swimming": "yes",
  "moving_quickly_or_slowly": null,
  "direction_of_travel": null,
  "two_metres_or_greater": "n/a",
  "in_known_habitat": "n/a",
  "moving_through": "n/a",
  "food_source_fish_frame": "n/a",
  "food_source_abattoir": "n/a",
  "food_source_crab_pots": null,
  "food_source_smelly_bins": "n/a",
  "food_source_boat_ramp": null,
  "food_source_dugong": null,
  "food_source_turtle": null,
  "food_source_animal_carcass": "n/a"
}

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.

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.

2021-07-19
574 rows57 fieldsutf-8-sig842d466ef1e0

versions.json · changes.json · history.tar.zst (71 KB, every version's Parquet and manifest)

Questions

How do I download CrocWatch crocodile sightings, Queensland as a CSV file?

Open https://publicdata.au/d/qld-crocwatch-sightings-2016/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/qld-crocwatch-sightings-2016/v/2021-07-19/data.csv today. The same path serves Excel, JSON, GeoJSON, Parquet, SQLite, DuckDB, GeoPackage, GeoParquet, NDJSON, Arrow. A dated URL never changes, so use it when the file must stay the same.

Can I open CrocWatch crocodile sightings, Queensland in Excel?

Yes. https://publicdata.au/d/qld-crocwatch-sightings-2016/v/2021-07-19/data.xlsx is a workbook with the 574 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/qld-crocwatch-sightings-2016/v/2021-07-19/data.csv.gz is the CSV at about a tenth of the size.

What years does CrocWatch crocodile sightings, Queensland cover?

The current version covers the years since 2016. Each release from DETSI becomes a new dated version here, and earlier versions stay online.

How often is CrocWatch crocodile sightings, Queensland updated?

DETSI no longer updates it. This site checks the portal every week and adds a dated version when the file changes.

Can I use CrocWatch crocodile sightings, Queensland 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 CrocWatch crocodile sightings, Queensland?

No. The publisher is Department of the Environment, Tourism, Science and Innovation, and its page is https://www.data.qld.gov.au/dataset/crocodile-sightings-in-queensland. This site republishes the publisher's file without changing its content. The original sits beside every version as source.csv with its SHA-256, so the two can be compared.

What coordinate system does CrocWatch crocodile sightings, Queensland use?

The publisher names no datum. The coordinates are decimal degrees, read as WGS84 (EPSG:4326) and published as given. The GeoJSON file uses the same coordinates, which is what GeoJSON expects.

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.csv so the change can be checked.

Crocodiles in Queensland is 4 tables here, and each takes its version date from its own file.

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.

Department of the Environment, Tourism, Science and Innovation, Queensland Government, Crocodiles in Queensland, sourced 3 October 2026, https://www.data.qld.gov.au/dataset/crocodile-sightings-in-queensland, licensed under CC BY 4.0. Serialised and versioned by National Digital at publicdata.au, https://publicdata.au/d/qld-crocwatch-sightings-2016/v/2021-07-19/

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 the Environment, Tourism, Science and Innovation 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 2021-07-19 read it from www.data.qld.gov.au on 3 October 2026.

Also published on

Hugging Faceload_dataset("National-Digital/qld-crocwatch-sightings-2016")
Kagglewith a starter notebook
ZenodoDOI 10.5281/zenodo.23122998

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 the Environment, Tourism, Science and Innovation publishes this table on www.data.qld.gov.au. Questions about the content go to the publisher. Questions about the files here go to corrections.

Fetched 3 October 2026. Source SHA-256 842d466ef1e051ed…

Improve this dataset

This page is built from register/qld-crocwatch-sightings-2016.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