From Australian Oceans Data Network
JSON RDF ISO19115-3 XML

Schedule of Native Title Determination Applications - November 2020 (NNTT)

Created 13/03/2025

Updated 13/03/2025

JSON RDF ISO19115-3 XML

The Schedule of Native Title Determination Applications is kept by the Native Title Registrar pursuant to s 98A(1) of the NTA and contains information on all applications made under s 61 of the NTA, including claimant, non-claimant, compensation applications and applications for a revised determination of native title. The Schedule includes claimant applications that are not on the Register of Native Title Claims because they have: a) not yet been considered for registration; b) been considered for registration but have not been accepted; or c) been amended, but the amended application has not yet been considered for registration. Note: This metadata record is a local copy maintained for the eAtlas and is not authoritative. Please see the link to the 'Original metadata record for this dataset' for the full metadata and latest update. Data Location: This dataset is filed in the eAtlas enduring data repository at: data\non-custodian\ongoing\AU_NNTT\2020-11-05\NTDA_Schedule_Nat_shp.zip

Files and APIs

Tags

Additional Info

Field Value
Title Schedule of Native Title Determination Applications - November 2020 (NNTT)
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/e8203095-9ddd-47ad-9839-6a203ab70faf
Contact Point
CSIRO Oceans & Atmosphere
geoservices@nntt.gov.au
Reference Period 25/11/2020
Geospatial Coverage {"type": "Polygon", "coordinates": [[[96.25, -44.0], [168.0, -44.0], [168.0, -9.0], [96.25, -9.0], [96.25, -44.0]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Schedule of Native Title Determination Applications - November 2020 (NNTT)". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/schedule-of-native-title-determination-applications-november-2020-nntt

Original dataset
Dataset copies

No duplicate datasets found.