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This data release contains the U.S. salient statistics and world production data extracted from the SALT data sheet of the USGS Mineral Commodity Summaries 2022.
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This data release contains the U.S. salient statistics and world production data extracted from the SALT data sheet of the USGS Mineral Commodity Summaries 2024.
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This map shows the current and near-term status of aquatic ecosystems, in addition to the input datasets used for the analysis and distribution modeling that were involved in producing these status datasets. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of...
Core Research Center, core B444, from well operated by AMERADA HESS CORPRaw Properties from download, web scrape, MapServer, and Macrostrat API{"Lib Num": "B444", "API Num": "2509105118", "Operator": "AMERADA HESS CORP", "Well Name": "1 WEXELS", "Field": "OUTLOOK", "State": "MT", "County": "SHERIDAN", "Type": "SLABBED", "Photos": "T", "Thin Sec": "F", "Analysis": "F", "Latitude": "48.865242", "Longitude": "-104.865825", "coordinates_geohash": "c8tmvxxh9jm6", "Source": "FROM STATE RECORDS", "Security Flag": "NO SPECIAL RESTRICTIONS", "crc_collection_name": "core", "sb_parent_id": "4f4e49dae4b07f02db5e0486", "intervals": [{"Formation": "SALT", "Age": "UNKN", "Min Depth": "8975", "Max Depth": "9056"}, {"Formation":...
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The U.S. Geological Survey (USGS) has compiled a geodatabase containing mineral-related geospatial data for 19 countries of interest in the Indo-Pacific region (area of study): Bangladesh, Bhutan, Brunei, Burma, Fiji, Malaysia, Mongolia, Nauru, New Caledonia, New Zealand, Papua New Guinea, Philippines, Singapore, Solomon Islands, South Korea (Republic of Korea), Sri Lanka, Taiwan, Timor-Leste, and Vietnam. The data can be used in analyses of the extractive fuel and nonfuel mineral industries integral for the successful operation of the mineral industries within the area of study. This geodatabase reflects the USGS ongoing commitment to its mission of understanding the nature and distribution of global mineral commodity...
Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Asia, Bangladesh, Bhutan, Brunei, Burma, All tags...
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This data release contains the U.S. salient statistics and world production data extracted from the SALT data sheet of the USGS Mineral Commodity Summaries 2023.
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This dataset represents salt marsh communities in the Northeast Atlantic coast. The classification was produced using a combination of Digital Elevation Model (DEM) and National Agriculture Imagery Program (NAIP) multispectral imagery. This dataset combined with "Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S." provides a contiguous classification of tidal marsh cover types from coastal Maine to Virginia. The eight distinct cover/community types identified are: High marsh: Area flooded during spring tides related to the lunar cycle and dominated by Spartina patens, Distichlis spicata, Juncus gerardii, and short form Spartina alterniflora. Other species include Juncus roemerianus, Scirpus pungens,...
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This dataset represents salt marsh communities in the Northeast Atlantic coast. The classification was produced using National Agriculture Imagery Program (NAIP) multispectral imagery for areas where no DEM was available to complete the full classification. This dataset combined with "Tidal Marsh Vegetation Classification, DEM, Northeast U.S." provides a contiguous classification of tidal marsh cover types from coastal Maine to Virginia. The six distinct cover/community types identified are: 1. High marsh: Area flooded during spring tides related to the lunar cycle and dominated by Spartina patens, Distichlis spicata, Juncus gerardii, and short form Spartina alterniflora. Other species include Juncus roemerianus,...
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The U.S. Geological Survey (USGS) has compiled a geodatabase containing mineral-related geospatial data for the People's Republic of China. The data can be used in analyses of the extractive fuel and nonfuel mineral industries and related economic and physical infrastructure integral for the successful operation of the mineral industries within the area of study as well as the movement of mineral products across domestic and global markets. This geodatabase reflects the USGS ongoing commitment to its mission of understanding the nature and distribution of global mineral commodity supply chains by updating and publishing the georeferenced locations of mineral commodity production and processing facilities, mineral...
Tags: Asia, China, Economic Geology, Energy Resources, Fujian Province, All tags...
Bromus tectorum L. is a non-native, annual grass that has invaded western North America. In SE Utah, B. tectorum generally occurs in grasslands dominated by the native perennial grass, Hilaria jamesii (Torr.) Benth. and rarely where the natives Stipa hymenoides Roem. and Schult. and S. comata Trin. & Rupr. are dominant. This patchy invasion is likely due to differences in soil chemistry. Previous laboratory experiments investigated using soil amendments that would allow B. tectorum to germinate but would reduce B. tectorum emergence without affecting H. jamesii. For this study we selected the most successful treatments (CaCl2, MgCl2, NaCl and zeolite) from a previous laboratory study and applied them in the field...
Core Research Center, core C496, from well operated by AMERADA HESS CORPRaw Properties from download, web scrape, MapServer, and Macrostrat API{"Lib Num": "C496", "API Num": "2509105104", "Operator": "AMERADA HESS CORP", "Well Name": "1 CHES GRANT TRACT 2", "Field": "OUTLOOK", "State": "MT", "County": "SHERIDAN", "Type": "SLABBED", "Photos": "F", "Thin Sec": "F", "Analysis": "F", "Latitude": "48.843534", "Longitude": "-104.844358", "coordinates_geohash": "c8tmy5wwjqsm", "Source": "FROM STATE RECORDS", "Security Flag": "NO SPECIAL RESTRICTIONS", "crc_collection_name": "core", "sb_parent_id": "4f4e49dae4b07f02db5e0486", "intervals": [{"Formation": "SALT", "Age": "UNKN", "Min Depth": "9223", "Max Depth": "9369"}],...
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The U.S. Geological Survey (USGS) has compiled a geodatabase containing mineral-related geospatial data for 10 countries of interest in Southwest Asia (area of study): Afghanistan, Cambodia, Laos, India, Indonesia, Iran, Nepal, North Korea, Pakistan, and Thailand. The data can be used in analyses of the extractive fuel and nonfuel mineral industries and related economic and physical infrastructure integral for the successful operation of the mineral industries within the area of study as well as the movement of mineral products across domestic and global markets. This geodatabase reflects the USGS ongoing commitment to its mission of understanding the nature and distribution of global mineral commodity supply chains...
Tags: Afghanistan, Asia, Cambodia, Economic Geology, Energy Resources, All tags...
Three types of data (one with an elevation model (DEM), one without a DEM, and one indicating the difference) are provided for the entire Northeast region and by analysis zone (n=8). Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S. – contains a regional classification produced using a combination of Digital Elevation Model (DEM) and National Agriculture Imagery Program (NAIP) multispectral imagery. All eight cover types are included in this classification. This dataset combined with “Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S” provides a contiguous classification of tidal marsh cover types from coastal Maine to Virginia. The eight cover types include: High marsh: Area flooded during...
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This map shows the current and near-term status of aquatic ecosystems, in addition to the input datasets used for the analysis and distribution modeling that were involved in producing these status datasets. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of...
Core Research Center, core C294, from well operated by SUN OIL COMPANYRaw Properties from download, web scrape, MapServer, and Macrostrat API{"Lib Num": "C294", "API Num": "2509105087", "Operator": "SUN OIL COMPANY", "Well Name": "1 STATE KITTELSON", "Field": "GOOSE LAKE", "State": "MT", "County": "SHERIDAN", "Type": "SLABBED", "Photos": "F", "Thin Sec": "F", "Analysis": "F", "Latitude": "48.825587", "Longitude": "-104.052954", "coordinates_geohash": "c8wjb0qvwmn5", "Source": "FROM STATE RECORDS", "Security Flag": "NO SPECIAL RESTRICTIONS", "crc_collection_name": "core", "sb_parent_id": "4f4e49dae4b07f02db5e0486", "intervals": [{"Formation": "SALT", "Age": "UNKN", "Min Depth": "6833", "Max Depth": "6852"}, {"Formation":...
Core Research Center, core C606, from well operated by AMERADA HESS CORPRaw Properties from download, web scrape, MapServer, and Macrostrat API{"Lib Num": "C606", "API Num": "2509105139", "Operator": "AMERADA HESS CORP", "Well Name": "1 J H GRINKER", "Field": "OUTLOOK", "State": "MT", "County": "SHERIDAN", "Type": "SLABBED", "Photos": "F", "Thin Sec": "F", "Analysis": "F", "Latitude": "48.937556", "Longitude": "-104.895698", "coordinates_geohash": "c8tqmhc3cjds", "Source": "FROM STATE RECORDS", "Security Flag": "NO SPECIAL RESTRICTIONS", "crc_collection_name": "core", "sb_parent_id": "4f4e49dae4b07f02db5e0486", "intervals": [{"Formation": "SALT", "Age": "UNKN", "Min Depth": "8953", "Max Depth": "9110"}, {"Formation":...
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This map shows the current and near-term status of terrestrial ecosystems, in addition to the input datasets used for the analysis and distribution modeling that were involved in producing these status datasets. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content...
The mission of the USGS National Minerals Information Center (formerly the Minerals Information Team) is to collect, analyze, and disseminate information on the domestic and international supply of and demand for minerals and mineral materials essential to the U.S. economy and national security. About 90 mineral commodities are covered.The Center's goal is to provide decision makers with the information required to ensure that the Nation has an adequate and dependable supply of minerals and materials to meet its defense and economic needs at acceptable costs related to environment, energy, and economics. In addition to special data releases available through ScienceBase, annual and monthly or quarterly statistical...
Tags: NMIC, abrasives, alumina, aluminum, antimony, All tags...
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This dataset represents a combined file indicating where a Digital Elevation Model (DEM) was and was not used in the tidal marsh classifications "Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S." and "Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S.". For more information about the development of the data please contact Mo Correll at Maureen.correll@maine.edu. "Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S.", "Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S.", and "DEM Difference in Tidal Marsh Vegetation Classification, 3m, Northeast U.S." are products of the Saltmarsh Habitat and Avian Research Program (www.tidalmarshbirds.org).


map background search result map search result map Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S. DEM Difference in Tidal Marsh Vegetation Classification, 3m, Northeast U.S. Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S. BLM REA MBR 2010 Terrestrial Ecosystems Status - Inter-Mountain Basins Mixed Salt Desert Scrub BLM REA MBR 2010 Terrestrial Ecosystems Status - Sonora Mojave Mixed Salt Desert Scrub BLM REA CBR 2010 Terrestrial Ecosystems Status - Inter-Mountain Basins Mixed Salt Desert Scrub Core Research Center Core B444 Core Research Center Core C606 Core Research Center Core C496 Core Research Center Core C294 Compilation of Geospatial Data (GIS) for the Mineral Industries and Related Infrastructure of Select Countries in Southwest Asia Compilation of Geospatial Data (GIS) for the Mineral Industries and Related Infrastructure of the People's Republic of China Victoria Test Records Compilation of Geospatial Data (GIS) for the Mineral Industries of Select Countries in the Indo-Pacific Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S. BLM REA MBR 2010 Terrestrial Ecosystems Status - Inter-Mountain Basins Mixed Salt Desert Scrub BLM REA MBR 2010 Terrestrial Ecosystems Status - Sonora Mojave Mixed Salt Desert Scrub Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S. DEM Difference in Tidal Marsh Vegetation Classification, 3m, Northeast U.S. BLM REA CBR 2010 Terrestrial Ecosystems Status - Inter-Mountain Basins Mixed Salt Desert Scrub Compilation of Geospatial Data (GIS) for the Mineral Industries and Related Infrastructure of the People's Republic of China Victoria Test Records Compilation of Geospatial Data (GIS) for the Mineral Industries and Related Infrastructure of Select Countries in Southwest Asia Compilation of Geospatial Data (GIS) for the Mineral Industries of Select Countries in the Indo-Pacific