This database contains spatial data on the location, number, size and extent of energy-related surface disturbances within the Bureau of Land Management’s (BLM) Carlsbad Field Office (CFO) administrative area. The BLM administers over 2 million acres of surface estate and 3 million acres of mineral estate in the southeastern portion of New Mexico. The BLM requires a thorough and comprehensive reasonable foreseeable development (RFD) scenario which quantifies the current and future potential of oil and gas resources and the necessary water use associated with those activities. The database includes: 1) polygons of oil and gas pads generated from automated and manual classification of aerial imagery, 2) polylines of roads derived from the U.S. Census Bureau (2020) TIGER/Line Shapefile, supplemented with additional oil and gas access roads digitized from aerial imagery, 3) point locations of active and abandoned oil and gas wells in the CFO area accessed from NM Oil Conservation Division (OCD) geodata portal, and 4) a set of relationship classes that link the pad polygons to the well points (and all associated well attributes) based on unique identifiers. Pad polygons and road segments are attributed with a "spud year" date based on spud information from the nearest well point. Spudding is the process of beginning to drill a well in the oil and gas industry, and the spud year is a close approximation of when the access roads and pads were cleared for development. The spud year information can be used to develop a chronology of oil and gas surface disturbances across the study region.

This data release contains spatial data on the location, number, size and extent of energy-related surface disturbances on the Colorado Plateau of Utah, Colorado, and New Mexico as of 2016. The database includes: 1) polygons of oil and gas pads generated from automated and manual classification of aerial imagery, and 2) polylines of roads derived from the U.S. Census Bureau TIGER/Line Shapefile, supplemented with additional oil and gas access roads digitized from aerial imagery. Pad polygons and road segments are attributed with a "spud year" date based on spud information from the nearest well point. Spudding is the process of beginning to drill a well in the oil and gas industry, and the spud year is a close approximation of when the access roads and pads were cleared for development. The spud year information can be used to develop a chronology of oil and gas surface disturbances across the study region. The remote sensing-based pad mapping captures bright soil of disturbed areas on active pads (not reclaimed areas or other features), and is likely an underestimate of the actual pad size in many areas. The remote sensing mapping methods may also capture areas of bright soils that are not part of a pad, especially in locations surrounded by very bright desert soils.

This data release contains spatial data on the location, number, size and extent of energy-related surface disturbances on the Colorado Plateau of Utah, Colorado, and New Mexico as of 2016. The database includes: 1) polygons of oil and gas pads generated from automated and manual classification of aerial imagery, and 2) polylines of roads derived from the U.S. Census Bureau TIGER/Line Shapefile, supplemented with additional oil and gas access roads digitized from aerial imagery. Pad polygons and road segments are attributed with a "spud year" date based on spud information from the nearest well point. Spudding is the process of beginning to drill a well in the oil and gas industry, and the spud year is a close approximation of when the access roads and pads were cleared for development. The spud year information can be used to develop a chronology of oil and gas surface disturbances across the study region. The remote sensing-based pad mapping captures bright soil of disturbed areas on active pads (not reclaimed areas or other features), and is likely an underestimate of the actual pad size in many areas. The remote sensing mapping methods may also capture areas of bright soils that are not part of a pad, especially in locations surrounded by very bright desert soils.

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These data were compiled to support a study of how environmental setting affects the success of well pad reclamation within the region managed by the Bureau of Land Management, Carlsbad Field Office in southeastern New Mexico, USA. The data were collected in 2022 and 2023 and represent vegetation, soil, and climate conditions at 70 reclaimed well pads from 4 to 24 years after the wells were plugged and reclaimed. The data were collected by the U.S. Geological Survey, Southwest Biological Science Center, Moab, UT, Research Station, using field observations and some remotely sensed or mapped products (gridded climate and soil property maps). The data can be used to represent the environmental condition of the well pads at the time of collection, the elapsed time between when wells were plugged (a proxy for the start of the reclamation process) and when data were collected, and the climate at each well pad as represented by the global aridity index. For some data, samples were taken both on well pads and adjacent to them in relatively undisturbed areas and so may be used to compare the condition of pads with adjacent reference conditions.

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This data set consists of digital mapping data describing polygon geometry and linked attribute data for BLM Colorado's Quarterly Oil and Gas Lease Sale Parcels in the State of Colorado, BLM. The polygons in this data set were generated using the legal land descriptions of the identified Oil and Gas Lease Sale parcels and the Geographic Coordinate Data Base (GCDB) survey grid to produce a mapped layer. Mapped parcels should be checked against the legal land description for the sale parcels in the sale notice to verify and validate data. These data are consolidated from field office inputs.

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This U.S. Geological Survey (USGS) data release presents the geospatial data used to assess the hydrologic resources and the potential effects from oil and gas development in the Bureau of Land Management Tri-County Planning Area, Sierra, Doña Ana, and Otero Counties, New Mexico. The USGS, in cooperation with the Bureau of Land Management (BLM), conducted a study to assess the hydrologic resources and potential effects from oil and gas development in the Tri-County planning area, Sierra, Doña Ana, and Otero Counties, New Mexico. Publicly available data were used to assess these resources and effects and to identify data gaps in the Tri-County planning area. These data support the following publication: Reference for the SIR goes here ####.

This U.S. Geological Survey (USGS) data release presents the geospatial data used to assess the hydrologic resources and the potential effects from oil and gas development in the Bureau of Land Management Tri-County Planning Area, Sierra, Doña Ana, and Otero Counties, New Mexico. The USGS, in cooperation with the Bureau of Land Management (BLM), conducted a study to assess the hydrologic resources and potential effects from oil and gas development in the Tri-County planning area, Sierra, Doña Ana, and Otero Counties, New Mexico. Publicly available data were used to assess these resources and effects and to identify data gaps in the Tri-County planning area. These data support the following publication: Reference for the SIR goes here ####.