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(HS 4) Large Extent Spatial Datasets in Maryland

Authors:
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 1.0 GB
Created:	Apr 10, 2021 at 1:01 a.m.
Last updated:	Oct 15, 2024 at 2:23 p.m. (Metadata update)
Published date:	Oct 15, 2024 at 2:23 p.m.
DOI:	10.4211/hs.4f5a33d96a004bd496747956c45cae7a
Citation:	See how to cite this resource
Content types:	Multidimensional Content Geographic Raster Content

Sharing Status:	Published
Views:	1452
Downloads:	399
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Abstract

This HydroShare resource was created to share large extent spatial (LES) datasets in Maryland 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

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

Place/Area Name:

Maryland

North Latitude

40.1315°

East Longitude

-74.9983°

South Latitude

36.8800°

West Longitude

-80.2306°

Content

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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.

THREDDS Documentation OPeNDAP Documentation

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	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
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. (2024). (HS 4) Large Extent Spatial Datasets in Maryland, HydroShare, https://doi.org/10.4211/hs.4f5a33d96a004bd496747956c45cae7a

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

http://creativecommons.org/licenses/by/4.0/

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