--- title: Crocodile distribution surveys, Queensland, 2000 to 2012 resource: https://publicdata.au/d/qld-crocodile-distribution-surveys/ publisher: Department of the Environment, Tourism, Science and Innovation licence: CC BY 4.0 licence_url: https://creativecommons.org/licenses/by/4.0/ version: 2016-05-27 rows: 1627 fields: 14 source: https://data.des.qld.gov.au/__data/assets/file/0024/83373/crocodile-distribution-2000-2012.csv source_sha256: f37898dded21a4870f29ff73532471d4f9ae37241e1eee3fdfea179906a12232 language: en-AU operator: National Digital not_endorsed: true --- # Crocodile distribution surveys, Queensland, 2000 to 2012 Each crocodile recorded on Queensland Government river surveys from 2000 to 2012, with species, estimated size, habitat and coordinates. Published by Department of the Environment, Tourism, Science and Innovation under CC BY 4.0 and republished here in other formats, with cells typed and suppressed values made null. Department of the Environment, Tourism, Science and Innovation has not endorsed this site. Also called: Crocodile distribution data 2000-2012, Queensland estuarine crocodile survey records. ## Download Latest version, redirects to `https://publicdata.au/d/qld-crocodile-distribution-surveys/v/2016-05-27/`: - csv: https://publicdata.au/d/qld-crocodile-distribution-surveys/latest/data.csv (152 KB) - xlsx: https://publicdata.au/d/qld-crocodile-distribution-surveys/latest/data.xlsx (79 KB) - json: https://publicdata.au/d/qld-crocodile-distribution-surveys/latest/data.json (498 KB) - geojson: https://publicdata.au/d/qld-crocodile-distribution-surveys/latest/data.geojson (653 KB) - parquet: https://publicdata.au/d/qld-crocodile-distribution-surveys/latest/data.parquet (38 KB) - sqlite: https://publicdata.au/d/qld-crocodile-distribution-surveys/latest/data.sqlite (168 KB) - duckdb: https://publicdata.au/d/qld-crocodile-distribution-surveys/latest/data.duckdb (200 KB) - gpkg: https://publicdata.au/d/qld-crocodile-distribution-surveys/latest/data.gpkg (303 KB) - geo.parquet: https://publicdata.au/d/qld-crocodile-distribution-surveys/latest/data.geo.parquet (50 KB) - ndjson: https://publicdata.au/d/qld-crocodile-distribution-surveys/latest/data.ndjson (495 KB) - arrow: https://publicdata.au/d/qld-crocodile-distribution-surveys/latest/data.arrow (53 KB) - csv.gz: https://publicdata.au/d/qld-crocodile-distribution-surveys/latest/data.csv.gz (19 KB) Pinned version 2016-05-27: `https://publicdata.au/d/qld-crocodile-distribution-surveys/v/2016-05-27/data.`. Dated versions never change. ## Query 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. Rows: https://publicdata.au/api/v1/datasets/qld-crocodile-distribution-surveys/rows. Counts and sums: https://publicdata.au/api/v1/datasets/qld-crocodile-distribution-surveys/aggregate. - Rows: https://publicdata.au/api/v1/datasets/qld-crocodile-distribution-surveys/rows?limit=5 - Aggregate: https://publicdata.au/api/v1/datasets/qld-crocodile-distribution-surveys/aggregate?group=river&metric=count 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`. Operators: `eq.value`, `neq.value`, `gt.value`, `gte.value`, `lt.value`, `lte.value`, `like.*text*`, `ilike.*text*`, `in.(a,b,c)`, `is.null`. - `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//` before `rows` or `aggregate` for an answer that never changes. `/api/v1/datasets//versions` lists the loaded versions. 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 for this dataset: https://publicdata.au/d/qld-crocodile-distribution-surveys/openapi.json ## Explore Charts and dashboards in the browser: https://publicdata.au/d/qld-crocodile-distribution-surveys/explore/. A dashboard can be shared as a link or embedded. ## Fields | field | type | publisher's header | note | |---|---|---|---| | `river` | string | river | The river or survey area, written with underscores as published. | | `date` | date | date | | | `species` | string | species | | | `sightings` | string | sightings | The way the animal was seen, coded as in the publisher's legend, such as P or EO. | | `size_a_lower_ft` | string | size_a_lower_ft | Feet. Kept as text because some cells hold codes or spaces. | | `size_b_upper_ft` | string | size_b__upper_ft | Feet. Kept as text because some cells hold codes or spaces. | | `size_c_accurate_ft` | string | size_c_accurate_ft | Feet. | | `size_d_m_if_ft_not_provided` | string | size_d_m_if_ft_not_provided | Metres, or a code such as EO as published. | | `location` | string | location | Where the animal was in the channel, coded as in the publisher's legend. | | `habitat` | string | habitat | Coded as in the publisher's legend. | | `bank` | string | bank | | | `latitude` | number | latitude | | | `longitude` | number | longitude | | | `comments` | string | comments | | ## Versions - 2016-05-27: 1627 rows, 14 fields, sha256 f37898dded21. https://publicdata.au/d/qld-crocodile-distribution-surveys/v/2016-05-27/ Machine-readable: https://publicdata.au/d/qld-crocodile-distribution-surveys/versions.json, https://publicdata.au/d/qld-crocodile-distribution-surveys/changes.json, https://publicdata.au/d/qld-crocodile-distribution-surveys/datapackage.json, https://publicdata.au/d/qld-crocodile-distribution-surveys/schema.json, https://publicdata.au/d/qld-crocodile-distribution-surveys/history.tar.zst ## Part of Crocodiles in Queensland - [CrocWatch crocodile sightings, Queensland, 2010 to 2015](https://publicdata.au/d/qld-crocwatch-sightings-2010-2015/) - [CrocWatch crocodile sightings, Queensland, 2016](https://publicdata.au/d/qld-crocwatch-sightings-2016/) - [CrocWatch crocodile sightings, Queensland, January to March 2017](https://publicdata.au/d/qld-crocwatch-sightings-2017/) ## Same subject, other publishers - [Crocodile captures, Northern Territory](https://publicdata.au/d/nt-crocodile-captures/) (NT) - [Eucalypt records from Australia's herbaria and flora atlases](https://publicdata.au/d/au-eucalypt-records/) (Cth) - [Crocodile capture zones, Northern Territory](https://publicdata.au/d/nt-crocodile-capture-zones/) (NT) ## Attribution and citation 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. The licence requires the publisher's attribution. We ask that you also name publicdata.au and link to the version you used. Plain text: 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-crocodile-distribution-surveys/v/2016-05-27/ Harvard: Department of the Environment, Tourism, Science and Innovation (2016) Crocodile distribution surveys, Queensland, 2000 to 2012, version 2016-05-27 [data set], CC BY 4.0, sourced 3 October 2026. Serialised and versioned by National Digital at publicdata.au. Available at: https://publicdata.au/d/qld-crocodile-distribution-surveys/v/2016-05-27/ Markdown: Data: [Crocodiles in Queensland](https://www.data.qld.gov.au/dataset/crocodile-sightings-in-queensland), Department of the Environment, Tourism, Science and Innovation, [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/), sourced 3 October 2026. Files: [publicdata.au](https://publicdata.au/d/qld-crocodile-distribution-surveys/v/2016-05-27/) by [National Digital](https://nationaldigital.com.au/). ## Questions ### How do I download Crocodile distribution surveys, Queensland as a CSV file? Open https://publicdata.au/d/qld-crocodile-distribution-surveys/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/qld-crocodile-distribution-surveys/v/2016-05-27/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 Crocodile distribution surveys, Queensland in Excel? Yes. https://publicdata.au/d/qld-crocodile-distribution-surveys/v/2016-05-27/data.xlsx is a workbook with the 1,627 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-crocodile-distribution-surveys/v/2016-05-27/data.csv.gz is the CSV at about a tenth of the size. ### What years does Crocodile distribution surveys, Queensland cover? The current version covers 2000 to 2011. Each release from DETSI becomes a new dated version here, and earlier versions stay online. ### How often is Crocodile distribution surveys, 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 Crocodile distribution surveys, 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 Crocodile distribution surveys, 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 Crocodile distribution surveys, 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 is in each row? Each row is one crocodile seen on a departmental survey of a Queensland river between 2000 and 2012, with the river, the date, the species, how it was seen, its estimated size, where it was in the channel, the habitat, the bank and its coordinates. ### What do the codes mean? The sighting, location and habitat columns use the publisher's codes, which are explained in the legend workbook on the same portal page. They are kept as published. ### Why does one river appear under several names? The surveyors wrote river names in different ways, such as Hull_River and Hull_R., and the file keeps each spelling. Add the spellings together for a river's full count. ### Why do some points fall north of the equator? Rows from Gulf of Carpentaria rivers, such as the Norman and the Staaten, give the latitude without its minus sign. The coordinates are kept as published. ## What this site did to the data Cells were typed, headers were renamed to snake_case and the encoding was made UTF-8. Rows were left alone. Nothing is derived. The publisher's file is beside every version as `source.csv`. ## Improve this dataset This page is built from [register/qld-crocodile-distribution-surveys.yaml](https://github.com/National-Digital/publicdata.au/blob/main/register/qld-crocodile-distribution-surveys.yaml) on GitHub, and a fix to it is welcome as a pull request. https://publicdata.au/contribute/ explains how.