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The Pod (or pods) of Mature Source Rock is a critical element of the Total Petroleum System and incorporates all source rocks that potentially have generated hydrocarbons within the system. The Pod(s) of Mature Source Rock is shown here as a geographic boundary defined and mapped by the geologist responsible for the province, and incorporates the known limit of thermally mature, organic-rich source rock(s) that is responsible for generating and expelling discovered and undiscovered petroleum accumulations, shows, or seeps within the Total Petroleum System. The Pod(s) of Mature Source Rock boundary was mapped by the province geologist after studying the extent of the source rock facies and the temperature and burial...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 505001 = South Florida Basin Sunniland-Dollar Bay, 50500101 = Lower Cretaceous Shoal-Reef Oil, 505002 = South Florida Basin Pre-Punta Gorda, 50500201 = Pre-Punta Gorda Dolomite Gas and Oil Hypothetical, Coalbed methane resources, All tags...
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The Florida Flood Hub for Applied Research and Innovation and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 242 National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in Florida. The change factors were computed as the ratio of projected future to historical extreme-precipitation depths fitted to extreme-precipitation data from downscaled climate datasets using a constrained maximum likelihood (CML) approach as described in https://doi.org/10.3133/sir20225093. The change factors correspond to the periods 2020-59 (centered in the year 2040) and 2050-89 (centered in the year 2070) as compared to the 1966-2005 historical...
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The U.S. Geological Survey (USGS) maintains shoreline positions for the United States' coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated...
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A cells polygon feature class was created by the U. S. Geological Survey (USGS) to illustrate the degree of exploration, type of production, and distribution of production in the State of Pennsylvania. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or the type of production of the wells located within the cell is unknown or dry. Data were retrieved from the Pennsylvania Internet Record Imaging System (PA*IRIS). Cells were developed as a graphic solution to overcome the problem of displaying proprietary well data. No proprietary data are displayed...
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This layer represents fundamentally suitable and unsuitable habitat for freshwater mussels in the Meramec Basin as modeled by these authors on May 17, 2017 based on spatial data ranging from 1990 to 2014. Identification of habitat characteristics associated with the presence of freshwater mussels is challenging but crucial for the conservation of this declining fauna. Most mussel species are found in multi-species assemblages suggesting that physical factors influence presence similarly across species. In lotic environments, geomorphic and hydraulic characteristics appear to be important factors for predicting mussel presence. We used maximum entropy (MaxEnt) modeling to evaluate hydrogeomorphic variables associated...
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A cells polygon feature class was created by the U.S. Geological Survey (USGS) to illustrate the degree of exploration, type of production, and distribution of production in the State of Kentucky. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or the type of production of the wells located within the cell is unknown or dry. Data were retrieved from the Kentucky Oil and Gas Well Records database and saved as a shapefile of oil and gas well locations for Kentucky. Cells were developed as a graphic solution to overcome the problem of displaying...
Categories: Data, pre-SM502.8; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: APPALACHIAN BASIN, CINCINNATI ARCH, Coalbed Methane, Coalbed methane resources, Earth Science, All tags...
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The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated...
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A cells polygon feature class was created by the U. S. Geological Survey (USGS) to illustrate the degree of exploration, type of production, and distribution of production in the State of Illinois. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or the type of production of the wells located within the cell is unknown or dry. Data were retrieved from the Illinois State Geological Survey (ISGS) oil and gas wells database. Cells were developed as a graphic solution to overcome the problem of displaying proprietary well data. No proprietary data...
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Tar sands represent a significant source of hydrocarbons in the United States. Also known by several other names including bitumen-bearing rocks, natural asphalt, tarry oil, bituminous rock, oil sands and rock asphalt, these rocks are mostly located on the margins of sedimentary basins. Maps of tar sands and deposits were digitized to illustrate their distribution and extent within the Total Petroleum System.
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 502001 = Ferron Coal/Wasatch Plateau, 50200101 = Conventional Ferron Sandstone Gas, 50200161 = Deep (6,000 feet plus) Coal and Sandstone Gas, 50200181 = Northern Coal Fairway/Drunkards Wash, 50200182 = Central Coal Fairway/Buzzards Bench, All tags...
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The Florida Flood Hub for Applied Research and Innovation and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 242 National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in Florida. The change factors were computed as the ratio of projected future to historical extreme-precipitation depths fitted to extreme-precipitation data from downscaled climate datasets using a constrained maximum likelihood (CML) approach as described in https://doi.org/10.3133/sir20225093. The change factors correspond to the periods 2020-59 (centered in the year 2040) and 2050-89 (centered in the year 2070) as compared to the 1966-2005 historical...
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The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Coast, CMGP, Caribbean, Coastal Research and Planning Institute of Puerto Rico, Coastal and Marine Geology Program, All tags...
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The Florida Flood Hub for Applied Research and Innovation and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 242 NOAA Atlas 14 stations in Florida. The change factors were computed as the ratio of projected future to historical extreme-precipitation depths fitted to extreme-precipitation data from downscaled climate datasets using a constrained maximum likelihood (CML) approach as described in https://doi.org/10.3133/sir20225093. The change factors correspond to the period 2020-59 (centered in 2040) or to the period 2050-89 (centered in the year 2070) as compared to the 1966-2005 historical period. Geospatial data provided in...
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A cells polygon feature class was created by the U. S. Geological Survey (USGS) to illustrate the degree of exploration, type of production, and distribution of production in the State of Indiana. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or the type of production of the wells located within the cell is unknown or dry. Cells were developed as a graphic solution to overcome the problem of displaying proprietary well data. No proprietary data are displayed or included in the cell maps. The data are current as of 2006.
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The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated...
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Salt marshes of the Northeastern United States (Maine to Virginia) are vulnerable to loss given their history of intensive human alteration. One direct human modification – ditching – was common across the Northeast for salt hay farming since European Colonization and for mosquito control in the first half of the 20th century. We hand-digitized linear ditches across Northeastern intertidal emergent wetlands from contemporary aerial imagery within the bounds of the National Wetland Inventory's Estuarine Intertidal Emergent Wetland areas.
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The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated...
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A cells polygon feature class was created by the U.S. Geological Survey (USGS) to illustrate the degree of exploration, type of production, and distribution of production in the United States. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or the type of production of the wells located within the cell is unknown or dry. The well information was initially retrieved from IHS Inc.'s PI/Dwights PLUS Well Data on CD-ROM, which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as...
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The Total Petroleum System is used in the National Assessment Project and incorporates the Assessment Unit, which is the fundamental geologic unit used for the assessment of undiscovered oil and gas resources. The Total Petroleum System is shown here as a geographic boundary defined and mapped by the geologist responsible for the province and incorporates not only the set of known or postulated oil and (or) gas accumulations, but also the geologic interpretation of the essential elements and processes within the petroleum system that relate to source, generation, migration, accumulation, and trapping of the discovered and undiscovered petroleum resource(s). The Total Petroleum System boundaries were defined in the...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 505001 = South Florida Basin Sunniland-Dollar Bay, 50500101 = Lower Cretaceous Shoal-Reef Oil, 505002 = South Florida Basin Pre-Punta Gorda, 50500201 = Pre-Punta Gorda Dolomite Gas and Oil Hypothetical, Coalbed methane resources, All tags...
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The CoRE (Contractions or Range Expansions) database contains a library of published literature and data on species range shifts in response to climate change. Through a systematic review of publications returned from searches on Google Scholar, Web of Science, and Scopus, we selected primary research articles that documented or attempted to document species-level distribution shifts in animal or plant species in response to recent anthropogenic climate change. We extracted data in four broad categories: (i) basic study information (study duration, location, data quality and methodological factors); (ii) basic species information (scientific names and taxonomic groups); (iii) information on the observed range shifts...
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The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Accretion, Atlantic Coast, CMGP, Caribbean, Coastal Research and Planning Institute of Puerto Rico, All tags...


map background search result map search result map Niche model results predicting fundamentally suitable and unsuitable habitat for freshwater mussel concentrations in the Meramec Basin National Assessment of Oil and Gas Project - Uinta-Piceance Province (020) Tar Sand Deposits National Assessment of Oil and Gas Project - Florida Peninsula Province (050) Pod(s) of Mature Source Rock National Assessment of Oil and Gas Project - Florida Peninsula Province (050) Total Petroleum Systems Shorelines for Vieques, Culebra, and the main island of Puerto Rico from the 1900s to 2018 (ver. 2.0, March 2023) Baseline for the coast of Puerto Rico's main island generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1 (ver. 2.0, March 2023) Shoreline change rates for the coast of Puerto Rico's main island calculated using the Digital Shoreline Analysis System version 5.1 (ver. 2.0, March 2023) Shoreline intersects for the coast of Puerto Rico's main island generated by the Digital Shoreline Analysis System version 5.1 (ver. 2.0, March 2023) Baseline for the islands of of Vieques and Culebra, Puerto Rico, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1 Shoreline change rates for the islands of Vieques and Culebra, Puerto Rico, calculated using the Digital Shoreline Analysis System version 5.1 Shapefile of Areal Reduction Factor (ARF) regions for the state of Florida (ARF_regions.shp) Shapefile of NOAA Atlas 14 stations in Florida (Atlas14_stations.shp) Shapefile of climate regions for the state of Florida (Climate_regions.shp) Linear Ditches of Northeastern U.S. Coastal Marshes from Maine to Virginia Derived from 2023 2D Aerial Imagery Basemap Oil and Gas Exploration and Production in the State of Illinois Shown as Quarter-Mile Cells Oil and Gas Exploration and Production in the State of Indiana Shown as Quarter-Mile Cells Oil and Gas Exploration and Production in the State of Kentucky Shown as Quarter-Mile Cells Oil and Gas Exploration and Production in the State of Pennsylvania Shown as Quarter-Mile Cells Oil and Gas Exploration and Production in the United States Shown as Quarter-Mile Cells Shoreline change rates for the islands of Vieques and Culebra, Puerto Rico, calculated using the Digital Shoreline Analysis System version 5.1 Baseline for the islands of of Vieques and Culebra, Puerto Rico, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1 Niche model results predicting fundamentally suitable and unsuitable habitat for freshwater mussel concentrations in the Meramec Basin Baseline for the coast of Puerto Rico's main island generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1 (ver. 2.0, March 2023) Shoreline change rates for the coast of Puerto Rico's main island calculated using the Digital Shoreline Analysis System version 5.1 (ver. 2.0, March 2023) Shoreline intersects for the coast of Puerto Rico's main island generated by the Digital Shoreline Analysis System version 5.1 (ver. 2.0, March 2023) Shorelines for Vieques, Culebra, and the main island of Puerto Rico from the 1900s to 2018 (ver. 2.0, March 2023) Oil and Gas Exploration and Production in the State of Indiana Shown as Quarter-Mile Cells Oil and Gas Exploration and Production in the State of Pennsylvania Shown as Quarter-Mile Cells National Assessment of Oil and Gas Project - Uinta-Piceance Province (020) Tar Sand Deposits National Assessment of Oil and Gas Project - Florida Peninsula Province (050) Pod(s) of Mature Source Rock Oil and Gas Exploration and Production in the State of Kentucky Shown as Quarter-Mile Cells Oil and Gas Exploration and Production in the State of Illinois Shown as Quarter-Mile Cells National Assessment of Oil and Gas Project - Florida Peninsula Province (050) Total Petroleum Systems Shapefile of NOAA Atlas 14 stations in Florida (Atlas14_stations.shp) Shapefile of Areal Reduction Factor (ARF) regions for the state of Florida (ARF_regions.shp) Shapefile of climate regions for the state of Florida (Climate_regions.shp) Linear Ditches of Northeastern U.S. Coastal Marshes from Maine to Virginia Derived from 2023 2D Aerial Imagery Basemap Oil and Gas Exploration and Production in the United States Shown as Quarter-Mile Cells