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Title: Geocube

Abstract

Online web mapping tool for visualization and simple analysis of Earth-energy data files from public and DOE related sources. Geocube allows users to upload and visualize their own datasets but also comes preloaded with individual spatial datasets as well as spatial data collections that align to topical themes.

Authors:
; ;
Publication Date:
Other Number(s):
9f611aff-55f9-4715-9676-2393a6918ca1
DOE Contract Number:  
1022409
Product Type:
Dataset
Research Org.:
National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States). Energy Data eXchange; National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV (United States)
Sponsoring Org.:
USDOE Office of Fossil Energy (FE)
Keywords:
Earth; GIS; carbon storage; consumption; customize; download; energy; environmental; fault; gas; geodatabase; geographic; hydrocarbon; infrastructure; offshore; oil; onshore; permeability; pipeline; porosity; pressure; production; reservoir; sequestration; shapefile; subsurface; surface; temperature; thickness; transmission; unconventional; visualization; well
OSTI Identifier:
1471973
DOI:
10.18141/1471973

Citation Formats

Barkhurst, Aaron, Bauer, Jennifer, and Rose, Kelly. Geocube. United States: N. p., 2018. Web. doi:10.18141/1471973.
Barkhurst, Aaron, Bauer, Jennifer, & Rose, Kelly. Geocube. United States. doi:10.18141/1471973.
Barkhurst, Aaron, Bauer, Jennifer, and Rose, Kelly. 2018. "Geocube". United States. doi:10.18141/1471973. https://www.osti.gov/servlets/purl/1471973. Pub date:Sat Jun 30 00:00:00 EDT 2018
@article{osti_1471973,
title = {Geocube},
author = {Barkhurst, Aaron and Bauer, Jennifer and Rose, Kelly},
abstractNote = {Online web mapping tool for visualization and simple analysis of Earth-energy data files from public and DOE related sources. Geocube allows users to upload and visualize their own datasets but also comes preloaded with individual spatial datasets as well as spatial data collections that align to topical themes.},
doi = {10.18141/1471973},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {6}
}

Dataset:

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