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(HS 4) Large Extent Spatial Datasets in Virginia


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Owners: This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource.
Type: Resource
Storage: The size of this resource is 3.1 GB
Created: Apr 25, 2021 at 12:26 a.m.
Last updated: Nov 20, 2023 at 5:42 p.m.
Citation: See how to cite this resource
Content types: Multidimensional Content  Geographic Raster Content 
Sharing Status: Public
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Downloads: 421
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Abstract

This HydroShare resource was created to share large extent spatial (LES) datasets in Virginia on GeoServer (https://geoserver.hydroshare.org/geoserver/web/wicket/bookmarkable/org.geoserver.web.demo.MapPreviewPage) and THREDDS (https://thredds.hydroshare.org/thredds/catalog/hydroshare/resources/catalog.html).

Users can access the uploaded LES datasets on HydroShare-GeoServer and THREDDS using this HS resource id.

Then, through the RHESSys workflows, users can subset LES datasets using OWSLib and xarray.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Virginia
North Latitude
41.2137°
East Longitude
-73.6827°
South Latitude
34.6671°
West Longitude
-85.1498°

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 was created by a related App or software program https://www.hydroshare.org/resource/a52df87347ef47c388d9633925cde9ad/
This resource belongs to the following collections:
Title Owners Sharing Status My Permission
(HS 1) Toward Seamless Environmental Modeling: Integration of HydroShare with Server-side Methods for Exposing Large Datasets to Models Iman Maghami · Linnea Saby · Zhiyu/Drew Li · Young-Don Choi · Jonathan Goodall  Public &  Shareable Open Access

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Science Foundation Collaborative Research: SI2-SSI: Cyberinfrastructure for Advancing Hydrologic Knowledge through Collaborative Integration of Data Science, Modeling and Analysis OAC-1664061, OAC-1664018, OAC-1664119

How to Cite

Choi, Y. (2023). (HS 4) Large Extent Spatial Datasets in Virginia, HydroShare, http://www.hydroshare.org/resource/96794cc564894ffa9f8fb4e419a8720f

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

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

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