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Data and Code for the Virtual Wells Imputation framework

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 4.2 MB
Created:	Mar 11, 2024 at 10:11 a.m. (UTC)
Last updated:	Mar 19, 2024 at 3:39 p.m. (UTC) (Metadata update)
Published date:	Mar 19, 2024 at 3:39 p.m. (UTC)
DOI:	10.4211/hs.fa6840cb376f4311af2bb5f52724ce7c
Citation:	See how to cite this resource
Content types:	Single File Content Geographic Feature Content

Sharing Status:	Published
Views:	2151
Downloads:	102
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Abstract

This resource includes the dataset and Matlab code corresponding to the manuscript titled "An Imputation Method for Simulating 3D Well Screen Locations from Limited Regional Well Log Data".

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

North Latitude

40.6708°

East Longitude

-118.5893°

South Latitude

34.9067°

West Longitude

-122.6391°

Temporal

Start Date:
End Date:

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.

Web Map Service

https://geoserver.hydroshare.org/geoserver/HS-fa6840cb376f4311af2bb5f52724ce7c/wms?request=GetCapabilities

Web Feature Service

https://geoserver.hydroshare.org/geoserver/HS-fa6840cb376f4311af2bb5f52724ce7c/wfs?request=GetCapabilities

Credits

Funding Agencies

This resource was created using funding from the following sources:

Agency Name	Award Title	Award Number
USDA NRCS	None	NR183A750023C005
California Environmental Protection Agency	None	19-051-250

How to Cite

Kourakos, G., Pauloo, R., Harter, T. (2024). Data and Code for the Virtual Wells Imputation framework, HydroShare, https://doi.org/10.4211/hs.fa6840cb376f4311af2bb5f52724ce7c

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

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

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