Bushfires NT brigade and office locations
liveThe office headquarters and volunteer bushfire brigade sites of Bushfires NT, part of Northern Territory Fire and Emergency Services. Each row carries the site code, name and type, the fire management zone, the street address, the land parcel, and the latitude and longitude. The publisher ships the table as a workbook inside the shapefile download, and that workbook is read here.
Also called: Bushfires NT Brigade and Office Headquarters Locations, NT volunteer bushfire brigade locations, Bushfires NT office addresses.
- What is in each row?
- One Bushfires NT site, either an office headquarters or a volunteer bushfire brigade, with its site code, name, fire management zone, street address, land parcel, and latitude and longitude.
- Why do two rows share an address?
- Where a brigade works from a Bushfires NT office, as in Alice Springs, the publisher lists the office and the brigade as two sites at one address.
- How often is it updated?
- The publisher updates the file when a site changes. This site checks it weekly and adds a dated version when the file changes.
Made for agents
Connect your AI agent
Any agent that connects to publicdata.au/mcp can find this dataset, read its 8 fields, count and filter across all 23 rows and diff its versions. Every answer names the version and carries NTFES's attribution. No key.
Then ask it: What does Bushfires NT brigade and office locations hold, and what changed in the newest version?
claude mcp add --transport http publicdata https://publicdata.au/mcpOne command. No key, no account, no sign-up.
Settings, then Connectors, then Add custom connector, and paste https://publicdata.au/mcp.
On the web and in the desktop app.
https://publicdata.au/mcpStreamable 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.
A dashboard over every row. Click to filter, add panels, share a link or embed a frame.
Query APIFilter and count from a URLaggregate?group=site_type&metric=count
Sites by site type: 20 Volunteer Bushfire Brigade, 3 Headquarters.
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.
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-bushfire-brigade-locations/latest/ redirects to the newest version.
https://publicdata.au/d/nt-bushfire-brigade-locations/latest/data.csvIn 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-bushfire-brigade-locations/latest/data.csvIn 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-bushfire-brigade-locations")
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-bushfire-brigade-locations")
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-bushfire-brigade-locations/v/2024-05-29/data.duckdb' AS nt_bushfire_brigade_locations (READ_ONLY);
SELECT site_id, count(*) FROM nt_bushfire_brigade_locations.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-bushfire-brigade-locations/aggregate?group=site_type&metric=count");
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 |
|---|---|---|---|
| site_id | string | SiteID | |
| name | string | Name | |
| site_type | string | SiteType | Headquarters or Volunteer Bushfire Brigade. |
| fire_management_zone | string | FMZone | |
| address | string | LocAddress | |
| parcel | string | LocParcel | |
| latitude | number | Latitude | |
| longitude | number | Longitude |
Download this table as a data dictionary (Excel), or read it as a Frictionless Table Schema at schema.json. The key is site_id.
The first 10 rows
From the latest version, in the publisher's order, with every field. A blank cell is shown as null.
| site_id | name | site_type | fire_management_zone | address | parcel | latitude | longitude |
|---|---|---|---|---|---|---|---|
| AH_HQ | Acacia Hills, Office | Headquarters | Vernon Arafura | 2645 Stuart Highway, Acacia Hills (cnr Townend Road) | Sec 2900 Hundred of Strangways | -12.70238 | 131.08704 |
| AH_VBB | Acacia Hills | Volunteer Bushfire Brigade | Vernon Arafura | 330 Whitstone Road, Acacia Hills | Sec 1715 Hundred of Colton | -12.76594 | 131.17063 |
| AS_HQ | Alice Springs, Office | Headquarters | Alice Springs | 3 Elder Street, Ciccone, Alice Springs | Lot 1548 Town of Alice Springs | -23.6996435 | 133.8719234 |
| AS_VBB | Alice Springs | Volunteer Bushfire Brigade | Alice Springs | 3 Elder Street, Ciccone, Alice Springs | Lot 1548 Town of Alice Springs | -23.6996435 | 133.8719234 |
| BART_VBB | BART | Volunteer Bushfire Brigade | Vernon Arafura | 16 Cameron Road, Batchelor | Lot 142 Town of Batchelor | -13.05206 | 131.03425 |
| BS_VBB | Berry Springs | Volunteer Bushfire Brigade | Vernon Arafura | 812 Cox Peninsula Road, Berry Springs | Sec 1857 Hundred of Ayers | -12.70114 | 131.01319 |
| CP_VBB | Cox Peninsula | Volunteer Bushfire Brigade | Vernon Arafura | 142 Wagait Tower Road, Wagait Beach | Sec 62 Hundred of Bray | -12.43571 | 130.74954 |
| DA_VBB | Daly River | Volunteer Bushfire Brigade | Vernon Arafura | 496 Wooliana Road, Daly River | NT Por 2801 | -13.7104048 | 130.6811567 |
| DD_VBB | Douglas Daly | Volunteer Bushfire Brigade | Vernon Arafura | 75 Wilson Road, Fleming | 16 Town of Fleming | -13.8513872 | 131.3003822 |
| DR_VBB | Darwin River | Volunteer Bushfire Brigade | Vernon Arafura | 0 Darwin River Road, Darwin River | Sec 2788 Hundred of Cavenagh | -12.82156 | 130.95735 |
The first row as JSON
As it appears in data.json.
GET https://publicdata.au/d/nt-bushfire-brigade-locations/latest/data.json
{
"site_id": "AH_HQ",
"name": "Acacia Hills, Office",
"site_type": "Headquarters",
"fire_management_zone": "Vernon Arafura",
"address": "2645 Stuart Highway, Acacia Hills (cnr Townend Road)",
"parcel": "Sec 2900 Hundred of Strangways",
"latitude": -12.70238,
"longitude": 131.08704
}
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.
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.
- 2024-05-29 23 rows8 fieldszip97ee18e4b7c3
versions.json · changes.json · history.tar.zst (5.7 KB, every version's Parquet and manifest)
Questions
How do I download Bushfires NT brigade and office locations as a CSV file?
Open https://publicdata.au/d/nt-bushfire-brigade-locations/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/nt-bushfire-brigade-locations/v/2024-05-29/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 Bushfires NT brigade and office locations in Excel?
Yes. https://publicdata.au/d/nt-bushfire-brigade-locations/v/2024-05-29/data.xlsx is a workbook with the 23 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-bushfire-brigade-locations/v/2024-05-29/data.csv.gz is the CSV at about a tenth of the size.
How often is Bushfires NT brigade and office locations updated?
NTFES releases it when a site changes. This site checks the portal every week and adds a dated version when the file changes.
Can I use Bushfires NT brigade and office locations 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 Bushfires NT brigade and office locations?
No. The publisher is Northern Territory Fire and Emergency Services, and its page is https://data.nt.gov.au/dataset/bushfires-nt-brigade-and-office-headquarters-locations. 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.
What coordinate system does Bushfires NT brigade and office locations use?
Decimal degrees as published. The publisher's shapefile of the same sites names GDA94. 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.zip so the change can be checked.