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Ridgelines: Department of Interior Definition

This dataset represents ridgelines as defined by the Department of Interior (DOI): "Areas within 660 feet of the top of the ridgeline, where a ridgeline has at least 150 feet of vertical elevation gain with a minimum average slope of 10 percent between the ridgeline and the base."...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Curated

Estimated Proved and Unproved Oil and Gas Reserves, Gulf of Mexico: 2006

The US Department of Interior's (DOI) Bureau of Ocean Energy Management, Regulation and Enforcement (BOEMRE) publishes oil and gas reserve data corresponding to the report published in 2009 by the DOI entitled, "Outer Continental Shelf Estimated Oil and Gas Reserves Gulf of Mexico...
Hallett, K. and (BOEMRE), U. National Renewable Energy Laboratory
Nov 30, 2009
5 Resources
0 Stars
In curation

U.S. Offshore Oil and Gas Operations Reports (1996 2010)

The US Department of Interior's (DOI) Bureau of Ocean Energy Management, Regulation and Enforcement (BOEMRE) publishes data from the Oil and Gas Operations Reports (OGOR) for the Gulf of Mexico OCS Region. The datasets include: annual well production (OGOR-A), lease disposition (O...
Hallett, K. and (BOEMRE), U. National Renewable Energy Laboratory
Dec 15, 2010
7 Resources
0 Stars
In curation

U.S. Offshore Pipeline Information and Data

The US Department of Interior's (DOI) Bureau of Ocean Energy Management, Regulation and Enforcement (BOEMRE) publishes pipeline data for the Gulf of Mexico OCS Region. The data includes information specific to each pipeline segment number, such as: origination and destination loca...
Hallett, K. and (BOEMRE), U. National Renewable Energy Laboratory
Jan 02, 2011
6 Resources
0 Stars
In curation

Atlantic Outer Continental Shelf GIS Data

The US Department of Interior's (DOI) Bureau of Ocean Energy Management, Regulation and Enforcement (BOEMRE) published GIS data of offshore information for the Atlantic Region. The data are available as ESRI ArcGIS files. The types of data include: boundary of US jurisdiction for ...
Hallett, K. and (BOEMRE), U. National Renewable Energy Laboratory
Oct 11, 2010
12 Resources
0 Stars
In curation

Pacific Region Offshore GIS Data

The US Department of Interior's (DOI) Bureau of Ocean Energy Management, Regulation and Enforcement (BOEMRE) published GIS data of offshore information for the Pacific Region. The data are available as GIS shapefiles. The types of data include: active leases, boundary of US jurisd...
Hallett, K. and (BOEMRE), U. National Renewable Energy Laboratory
Jun 23, 2002
16 Resources
0 Stars
In curation

Alaska Region Offshore GIS Data

The US Department of Interior's (DOI) Bureau of Ocean Energy Management, Regulation and Enforcement (BOEMRE) published GIS data of offshore information for the Alaska Region. The data are available as GIS shapefiles. The types of data include: active leases, boundary of US jurisdi...
Hallett, K. and (BOEMRE), U. National Renewable Energy Laboratory
Jun 30, 2002
11 Resources
0 Stars
In curation

Gulf of Mexico Outer Continental Shelf Mapping Data

The US Department of Interior's (DOI) Bureau of Ocean Energy Management, Regulation and Enforcement (BOEMRE) published geographic data of offshore activities in the Gulf of Mexico Outer Continental Shelf (OCS) area. The data were built from the Technical Information Management Sys...
Hallett, K. and (BOEMRE), U. National Renewable Energy Laboratory
May 30, 2007
14 Resources
0 Stars
In curation

Air Pollutant Emissions Inventory of Large-Scale Production of Selected Biofuels Feedstocks in 2022 supporting data

Data provided are numeric results used to plot the maps/figures presented in the paper “Air Pollutant Emissions Inventory of Large-Scale Production of Selected Biofuels Feedstocks in 2022” ([DOI: 10.1002/bbb.1620](http://onlinelibrary.wiley.com/doi/10.1002/bbb.1620/full)). ...
Zhang, Y. National Renewable Energy Laboratory
Oct 05, 2015
13 Resources
0 Stars
In curation

ARPA-E Grid Optimization (GO) Competition Challenge 1

The ARPA-E Grid Optimization (GO) Competition Challenge 1, from 2018 to 2019, focused on the basic Security Constrained AC Optimal Power Flow problem (SCOPF) for a single time period. The Challenge utilized sets of unique datasets generated by the ARPA-E GRID DATA program. Each da...
Elbert, S. et al Pacific Northwest National Laboratory
Aug 05, 2024
29 Resources
0 Stars
Curated