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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 8.5 GB | |
Created: | Apr 25, 2021 at 12:27 a.m. | |
Last updated: | Oct 15, 2024 at 5:38 p.m. (Metadata update) | |
Published date: | Oct 15, 2024 at 5:38 p.m. | |
DOI: | 10.4211/hs.7bd3a773639f40458c22c5ec43ae3bc6 | |
Citation: | See how to cite this resource | |
Content types: | Multidimensional Content Geographic Raster Content |
Sharing Status: | Published |
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Views: | 1408 |
Downloads: | 495 |
+1 Votes: | Be the first one to this. |
Comments: | No comments (yet) |
Abstract
This HydroShare resource was created to share large extent spatial (LES) datasets in North Carolina 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. This resource was created using HS 2.
Then, through the RHESSys workflows, users can subset LES datasets using OWSLib and xarray.
Subject Keywords
Coverage
Spatial
Content
Data Services
Related Resources
The content of this resource was created by a related App or software program | https://www.hydroshare.org/resource/a52df87347ef47c388d9633925cde9ad/ |
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 | Published | Open Access |
COPY FOR ARCHIVING OLD RESOURCES: (HS 1) Toward Seamless Environmental Modeling: Integration of HydroShare with Server-side Methods for Exposing Large Datasets to Models | Iman Maghami | Private & Shareable | None |
Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
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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
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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