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CUAHSI Workshop 2: Advanced Application of Python for Working with High Value Environmental Datasets


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Type: Resource
Storage: The size of this resource is 5.2 MB
Created: Jun 10, 2025 at 8:44 p.m. (UTC)
Last updated: Jun 11, 2025 at 12:39 p.m. (UTC)
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Content types: Geographic Feature Content 
Sharing Status: Public
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Abstract

This resource includes materials for the workshop about working with high value environmental data using Python in cloud, presented during the 2025 NWCSI Bootcamp.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
40.6591°
East Longitude
-111.5470°
South Latitude
40.5827°
West Longitude
-111.7931°

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.

Related Resources

The content of this resource is derived from Garousi-Nejad, I., A. M. Castronova (2025). CUAHSI Workshop 1: FAIR Data Management & Cloud-Based Simulation Collaboration, HydroShare, http://www.hydroshare.org/resource/1a787a25fb3047d5a6a0291c4a4b6fc2, accessed on: 06/10/2025
This resource belongs to the following collections:
Title Owners Sharing Status My Permission
Collection of Materials for the CUAHSI's Workshops at the National Water Center Bootcamp 2025 Irene Garousi-Nejad · Anthony Castronova  Public &  Shareable Open Access

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Oceanic and Atmospheric Administration (NOAA) COOPERATIVE INSTITUTE FOR RESEARCH TO OPERATIONS IN HYDROLOGY (CIROH) NA22NWS4320003

How to Cite

Garousi-Nejad, I., A. M. Castronova (2025). CUAHSI Workshop 2: Advanced Application of Python for Working with High Value Environmental Datasets, HydroShare, http://www.hydroshare.org/resource/164511f2ea2e4d088fc0cb568a4967b5

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

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

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