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Drought Machine Learning Data Example


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Storage: The size of this resource is 518.5 MB
Created: Aug 22, 2023 at 10:53 p.m.
Last updated: Aug 22, 2023 at 11:08 p.m.
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Content types: Single File Content  Geographic Feature Content 
Sharing Status: Public
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Abstract

This repository showcases some examples of data wrangling and visualization using the output of the USGS's output from a drought prediction model on the Colorado River Basin and example ecology site data.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
42.0906°
East Longitude
-105.9302°
South Latitude
31.9061°
West Longitude
-114.2798°

Temporal

Start Date:
End Date:

Content

Data Services

The following web services are available for data contained in this resource. Geospatial Feature and Raster data are made available via Open Geospatial Consortium Web Services. The provided links can be copied and pasted into GIS software to access these data. Multidimensional NetCDF data are made available via a THREDDS Data Server using remote data access protocols such as OPeNDAP. Other data services may be made available in the future to support additional data types.

How to Cite

Pulver, B. (2023). Drought Machine Learning Data Example, HydroShare, http://www.hydroshare.org/resource/9024db8a67fd4afdab2358d1b75e7e85

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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