From DataNSW
JSON RDF ISO19115-3 XML

NSW Government historical manual water level gauge reader stations

Created 05/05/2025

Updated 05/05/2025

JSON RDF ISO19115-3 XML

Content Title

NSW Government historical manual water level gauge reader stations

Content Type

Hosted Feature Layer

Description

Water level readings collected by NSW Government for flood warning and monitoring purposes. Local land holders read the water level gauge plates during flood events and record then forward to Manly Hydraulics Laboratory for data entry.

Initial Publication Date

29/11/2022

Data Currency

10/11/2023

Data Update Frequency

Other

Content Source

File Type

CSV (*.csv)

Attribution

Data Theme, Classification or Relationship to other Datasets

Accuracy

Spatial Reference System (dataset)

WGS84

Spatial Reference System (web service)

EPSG:4326

WGS84 Equivalent To

GDA94

Spatial Extent

Content Lineage

Data Classification

Unclassified

Data Access Policy

Open

Data Quality

Terms and Conditions

Creative Commons

Standard and Specification

Data Custodian

NSW Government

Point of Contact

data-request@mhl.nsw.gov.au

Data Aggregator

Data Distributor

Additional Supporting Information

TRIM Number

Files and APIs

Tags

Additional Info

Field Value
Title NSW Government historical manual water level gauge reader stations
Language English
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/24c5ecca-8744-4634-8004-d262a582dda7
Remote Last Updated 24/04/2025
Contact Point
Spatial Services (DCS)
test@email.loc
Reference Period 28/01/2025
Geospatial Coverage {"type": "Polygon", "coordinates": [[ [96.0,-45.0],[96.0,-9.0], [168.0,-9.0], [168.0,-45.0], [96.0,-45.0]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on DataNSW "NSW Government historical manual water level gauge reader stations". Please visit the source to access the original metadata of the dataset:
https://data.nsw.gov.au/data/dataset/1-f790a5d23b0d44ae9c7c14d0d2555238

Original dataset
Dataset copies

No duplicate datasets found.