(HS 3) Large Spatial Sample Datasets in Maryland

Resource type: Composite Resource
Storage: The size of this resource is 1.0 GB
Created: Apr 10, 2021 at 1:01 a.m.
Last updated: Sep 26, 2021 at 8:45 p.m.
Citation: See how to cite this resource
Content types: Multidimensional Content  Geographic Raster Content 
Sharing Status: Public
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Downloads: 183
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This HydroShare resource was created to share large spatial sample 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 check the uploaded LSS datasets on HydroShare-GeoServer and THREDDS using this HS resource id.

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

Subject Keywords

Deleting all keywords will set the resource sharing status to private.

Resource Level Coverage


Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
North Latitude
East Longitude
South Latitude
West Longitude


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: https://www.hydroshare.org/resource/a52df87347ef47c388d9633925cde9ad/
This resource belongs to the following collections:
Title Owners Sharing Status My Permission
(HS 1) Creating and Sharing Interoperable and Reusable Large Spatial Sample Datasets Online for Open and Reproducible Seamless Hydrological Modeling: RHESSys Use Case Iman Maghami · Linnea Saby · Zhiyu/Drew Li · Young-Don Choi  Public &  Shareable Open Access


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. (2021). (HS 3) Large Spatial Sample Datasets in Maryland, HydroShare, http://www.hydroshare.org/resource/4f5a33d96a004bd496747956c45cae7a

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



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