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TwitterThis is a conversion of Wentworth and others (2023)[DAS1] to the Geologic Map Schema (GeMS) for inclusion in the National Geologic Map Database. The original publication was in the Alacarte schema commonly used for geologic map databases prior to the release of the now mandatory GeMS. The GIS layers in this release have the same scientific content as the source data release. The source data release lacks description of map units, however, so those have been copied verbatim from the two principal sources for that work (Witter and others, 2006 [DAS2]; Knudsen and others, 2000 [DAS3]).
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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The Bedrock Geologic Map of the Vincennes 30 x 60 Minute Quadrangle was created to present basic bedrock geologic information that contributes to the characterization of potential aggregate resources, characterization of bedrock aquifer systems, and analysis of the overlying predominantly glacial dep...osits. This map is based on data obtained from several thousand records including petroleum well drillers' logs, geophysical logs, water well drillers' logs, descriptions of cores recovered by the Indiana Geological Survey, seismic refraction records collected by the Indiana Geological Survey, natural exposures in and near the map area, and exposures in active and abandoned quarries. This database is, in large part, the result of a cooperative mapping agreement between the U.S. Geological Survey (USGS) and the Indiana Geological and Water Survey through the STATEMAP program of the USGS. [more]
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TwitterThis dataset is intended to provide seamless, integrated, surficial geologic mapping of the U.S. Intermountain West region and is supported by the National Cooperative Geologic Mapping Program of the U.S. Geological Survey. Surficial geology included as part of this data release as independent of bedrock geologic mapping and is compiled at a variable resolution from 1:50,000 to 1:250,000 scale. No original interpretations are presented in this dataset; rather, all interpretive data are assimilated from referenceable publications. Initial contributions to this data release are along an east-west transect that parallels 37-degrees north latitude extending from the Rio Grande Rift and Great Plains in the east to the Basin and Range and Sierra Nevada to the west. Other areas of the Intermountain West region will be incorporated over time. Data are presented as a downloadable file geodatabase (*.gdb) and as features services that can be directly ingested into GIS software for analysis. This dataset is intended to be versioned regularly as new geologic map data is integrated. The data structure follows the Seamless Integrated Geologic Mapping extension (SIGMa) (Turner and others, 2022) to the Geologic Map Schema (GeMS) (USGS, 2020). U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020, GeMS (Geologic Map Schema)—A standard format for the digital publication of geologic maps: U.S. Geological Survey Techniques and Methods, book 11, chap. B10, 74 p., https://doi.org/10.3133/tm11B10. Turner, K.J., Workman, J.B., Colgan, J.P., Gilmer, A.K., Berry, M.E., Johnstone, S.A., Warrell, K.F., Dechesne, M., VanSistine, D.P., Thompson, R.A., Hudson, A.M., Zellman, K.L., Sweetkind, D., and Ruleman, C.A., 2022, The Seamless Integrated Geologic Mapping (SIGMa) extension to the Geologic Map Schema (GeMS): U.S. Geological Survey Scientific Investigations Report 2022–5115, 33 p., https://doi.org/10.3133/ sir20225115.
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TwitterCollation of large-scale features of functional significance records contributing to the Geodatabase of Marine features adjacent to Scotland (GeMS). Records are attributed as to their qualification as protected features of protected areas within the Scottish MPA network. Where appropriate typical record details will include: status as Scottish Large-scale features of functional significance or Annex I Habitat, MNCR biotope, EUNIS habitat, date, date range, year, status, accuracy, determiner and details of where the records are sourced from and intellectual property ownership. Contains attribution relating to the protected status of the various feature records. Polygon area values in the HECTARES field are calculated using ETRS89-LAEA (EPSG:3035) using the standard centre of projection at 10° E, 52° N.
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TwitterThis dataset is intended to provide seamless, integrated bedrock geologic mapping of the U.S. Intermountain West region and is funded by the National Cooperative Geologic Mapping Program of the U.S. Geological Survey. Bedrock geology are included in this data release as an independent dataset at a variable resolution from 1:50,000 to 1:100,000 scale. No original interpretations are presented in this data set; rather, all interpretive data are assimilated from referenceable publications. Initial contributions to this data release are along an east-west transect that parallels 37-degrees north latitude extending from the Rio Grande Rift and Great Plains in the east to the Basin and Range and Sierra Nevada to the west. Other areas of the Intermountain West region will be incorporated over time. Data are presented as downloadable file geodatabase (*.gdb) and as features services that can be directly ingested into GIS software for analysis. This dataset is intended to be versioned regularly as new geologic map data is integrated. The data structure follows the Seamless Integrated Geologic Mapping extension (SIGMa) (Turner and others, 2022) to the Geologic Map Schema (GeMS) (USGS, 2020). U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020, GeMS (Geologic Map Schema)—A standard format for the digital publication of geologic maps: U.S. Geological Survey Techniques and Methods, book 11, chap. B10, 74 p., https://doi.org/10.3133/tm11B10. Turner, K.J., Workman, J.B., Colgan, J.P., Gilmer, A.K., Berry, M.E., Johnstone, S.A., Warrell, K.F., Dechesne, M., VanSistine, D.P., Thompson, R.A., Hudson, A.M., Zellman, K.L., Sweetkind, D., and Ruleman, C.A., 2022, The Seamless Integrated Geologic Mapping (SIGMa) extension to the Geologic Map Schema (GeMS): U.S. Geological Survey Scientific Investigations Report 2022–5115, 33 p., https://doi.org/10.3133/ sir20225115.
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This U.S. Geological Survey (USGS) data release for the geologic map of the Arlington quadrangle, Carbon County, Wyoming, is a Geologic Map Schema (GeMS, 2020)-compliant version of the printed geologic map published in USGS Geologic Map Quadrangle GQ-643 (Hyden and others, 1967). The database represents the geology for the 35,776-acre map plate at a publication scale of 1:24,000. References: Hyden, H.J., King, J.S., and Houston, R.S., 1967, Geologic map of the Arlington quadrangle, Carbon County, Wyoming: U.S. Geological Survey, Geologic Quadrangle Map GQ-643, scale 1:24,000; https://doi.org/10.3133/gq643. U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020, GeMS (Geologic Map Schema) - A standard format for the digital publication of geologic maps: U.S. Geological Survey Techniques and Methods, book 11, chap. B10, 74 p., https://doi.org//10.3133/tm11B10.
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This U.S. Geological Survey (USGS) data release provides a digital geospatial database for the geologic map of the White Rock Canyon quadrangle, Carbon County, Wyoming (Hyden and others, 1968). Attribute tables and geospatial features (points, lines and polygons) conform to the Geologic Map Schema (USGS NCGMP, 2020) and represent the geologic map as published in USGS Geologic Quadrangle Map GQ-789. The 35,758-acre map area represents the geology at a publication scale of 1:24,000.
References: Hyden, H.J., Houston, R.S., and King, J.S., 1968, Geologic map of the White Rock Canyon quadrangle, Carbon County, Wyoming: U.S. Geological Survey, Geologic Quadrangle Map GQ-789, scale 1:24,000, https://doi.org/10.3133/gq789.
U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020, GeMS (Geologic Map Schema) - A standard format for the digital publication of geologic maps: U.S. Geological Survey Techniques and Methods, book 11, chap. B10, 74 p., https://doi.org//10.3133 ...
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TwitterThese are ArcGIS geodatabase versions of the geology data from the corresponding KGS M-series geologic maps. Data is from the Kansas Geological Survey - Cartographic Services and its predecessors. The geodatabases includes several reference tables that describe the feature classes in the feature datasets. This metadata serves for all the included feature classes. The surficial geology data shows bedrock or unconsolidated layers at the surface or immediately under vegetation and soil. The data shows the distribution, rock type, and age of bedrock. It can be used to identify surface and subsurface lithologic units and their stratigraphic relationships, show geologic structures, delineate thick surficial materials such as alluvium, and determine the features' spatial orientation. Each geodatabase has its own metadata, with more specific details than are shown in this generalized metadata.These datasets largely conforms to the NCGMP09-v1.1 standard (https://ngmdb.usgs.gov/Info/standards/NCGMP09/). The native data structure is an Esri file geodatabase (.gdb). Each geodatabase contains some combination of the following elements. Elements marked with an asterisk () are not present in all counties' data:- CrossSectionA (feature dataset): descriptions of all features shown on the cross section, excluding base map features. Contains feature classes:- CSAContactsAndFaults*- CSAFigureAnno*- CSAFigureBox*- CSAGeologicAnno*- CSAGeologicLines*- CSAMapUnitPolys*- GeologicMap (feature dataset): descriptions of all features plotted on the geologic map, excluding base map features. Contains feature classes:- CartographicLines*- ContactsAndFaults- DataSourcePolys- GeologicLines*- MapUnitPolys- PitsQuarriesPoints*- DataSources (non-spatial table)- DescriptionOfMapUnits (non-spatial table)- Glossary (non-spatial table)Non-spatial tables DataSources, DescriptionOfMapUnits, and Glossary store metadata. All spatial features and some non-spatial features have related entries in table DataSources. DescriptionOfMapUnits defines and describes geologic map units that are delimited in feature class MapUnitPolys. Most technical terms used as feature attributes are defined in the Glossary table.Most features have explicit internal feature-level metadata, including LocationConfidenceMeters, one or more Source attributes, and, as appropriate, ExistenceConfidence and IdentityConfidence.
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TwitterAlaska Geologic Mapping Schema (AK GeMS) multi-map repository database, Digital Data Series 24, comprises several key components working together to ensure that the Alaska Division of Geological & Geophysical Surveys (DGGS) efficiently produces high-quality, standards-based geologic maps. A critical component of this system is our AK GeMS Multi-Map Repository Database, which combines the individual geologic map data into a single GIS-based enterprise geodatabase. This Digital Data Series (DDS) allows users to download file geodatabase date-stamped snapshots of our AK GeMS Multi-Map repository database. The complete report, geodatabase, and ESRI fonts and style files are available from the Alaska Division of Geological & Geophysical Surveys website: http://doi.org/10.14509/31706.
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TwitterMGS staff maintain entries in the Project Status module of the MGS database to plan and track mapping project priorities. This dataset displays the status of each 24K and 100K quadrangle by map series - bedrock and surficial. Project managers can use this dataset to spatially communicate mapping and GeMS conversion plans and progress.
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TwitterThis U.S. Geological Survey (USGS) data release provides a digital geospatial database for the geologic map of the eastern part of the Challis National Forest and vicinity, Idaho (Wilson and Skipp, 1994). Attribute tables and geospatial features (lines and polygons) conform to the Geologic Map Schema (USGS NCGMP, 2020) and represent the geologic map as published in U.S. Geological Survey (USGS) Miscellaneous Investigations Series Map I-2395 (Wilson and Skipp, 1994). The database represents the geology for the 2.7-million-acre map plate at a publication scale of 1:250,000. The map covers primarily Butte, Custer, Lemhi and Blaine Counties, but also includes minor parts of Clark County. References: U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020, GeMS (Geologic Map Schema) - A standard format for the digital publication of geologic maps: U.S. Geological Survey Techniques and Methods, book 11, chap. B10, 74 p., https://doi.org//10.3133/tm11B10. Wilson, A.B., and Skipp, Betty, 1994, Geologic map of the eastern part of the Challis National Forest and vicinity, Idaho: U.S. Geological Survey, Miscellaneous Investigations Series Map I-2395, scale 1:250,000, https://ngmdb.usgs.gov/Prodesc/proddesc_10267.htm.
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TwitterGeology based on field work by James M. DeGraff, Ian M. Gannon, Chad D. Deering, Aleksey V. Smirnov, Gabriel C. Ahrendt, and Espree E. Essig. Map compilation and digital cartography by James M. DeGraff and Ian M. Gannon, with support from Daniel Lizzadro-McPherson at the Geospatial Research Facility. Thomas Mroz provided his expertise to guide some of the field work, to assist with field logistics, and to contact property owners regarding access to their land. Carol Asiala prepared the initial budget and then tracked spending throughout the project. This map has been produced for the United States Geological Survey by faculty and students at Michigan Technological University in collaboration with the Michigan Geological Survey. This map is based on a compilation of USGS 7.5 Minute Quadrangles, 1:100,000 scale maps, and aeromagnetic data and sub-meter LiDAR DEMs and derivatives provided by the USDA.
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TwitterThis data release presents geologic map data for the bedrock geology of the Aztec 1-degree by 2-degree quadrangle, New Mexico. Geologic mapping incorporates new interpretive contributions and compilation from published geologic map data sources primarily ranging from 1:24,000 to 1:50,000 scale. Much of the geology incorporated from published geologic maps is adjusted based on digital elevation model and natural-color image data sources to improve spatial resolution of the data. Spatial adjustments and new interpretations also eliminate mismatches at source map boundaries. This data set represents only the bedrock geology; deposits of unconsolidated, surficial materials that are typically, but not exclusively, Quaternary in age, are not included in this database. Bedrock in the context of this database includes all metamorphic, sedimentary, and igneous rocks regardless of age. Bedrock geology is continuous to the extent that map units and structures can be appropriately constrained, including throughout areas overlain by surficial deposits. Line features that are projected through areas overlain by surficial deposits are generally attributed with lower identity and existence confidence, larger locational confidence values, and a compilation method in the MethodID field indicating features were projected beneath cover (see Turner and others [2022] for a description of MethodID field). Map units represented in this database range from Paleoproterozic and Mesoproterozic metamorphic and intrusive rocks to Pliocene and Quaternary sedimentary and volcanic rocks. Map units and structures in this data set reflect multiple events that are significant at regional and continental scales including multiple Proterozoic accreted terranes, magmatic episodes, supracrustal depositional environments, and continental margin environments, Ancestral Rocky Mountains, Laramide orogeny, Southern Rocky Mountains volcanism, and Rio Grande rift in the Phanerozoic. Map units are organized within geologic provinces as described by the Seamless Integrated Geologic Mapping (SIGMa) (Turner and others, 2022) extension to the Geologic Map Schema (GeMS) (USGS, 2020). Geologic provinces are used to organize map units based on time-dependent, geologic events rather than geographic or rock type groupings that are typical of traditional geologic maps. The detail of geologic mapping is approximately 1:100,000-scale depending on the scale of published geologic maps and new mapping based on field observations or interpretation from basemap data. The database follows the schema and structure of SIGMa (Turner and others, 2022) that is an extension to GeMS (USGS, 2020). Turner, K.J., Workman, J.B., Colgan, J.P., Gilmer, A.K., Berry, M.E., Johnstone, S.A., Warrell, K.F., Dechesne, M., VanSistine, D.P., Thompson, R.A., Hudson, A.M., Zellman, K.L., Sweetkind, D., and Ruleman, C.A., 2022, The Seamless Integrated Geologic Mapping (SIGMa) extension to the Geologic Map Schema (GeMS): U.S. Geological Survey Scientific Investigations Report 2022–5115, 33 p., https://doi.org/ 10.3133/ sir20225115. U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020, GeMS (Geologic Map Schema)-A standard format for the digital publication of geologic maps: U.S. Geological Survey Techniques and Methods, book 11, chap. B10, 74 p., https://doi.org/10.3133/tm11B10.
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This U.S. Geological Survey (USGS) data release provides a digital geospatial database for the geologic map of the Bayhorse area, central Custer County, Idaho (Hobbs and others, 1991). Attribute tables and geospatial features (points, lines, and polygons) conform to the Geologic Map Schema (GeMS, 2020) and represent the geologic map as published in the USGS Miscellaneous Investigations Series Map I-1882 (Hobbs and others, 1991). The 357,167-acre map area represents the geology at a publication scale of 1:62,000. References: Hobbs, S.W., Hays, W.H., and McIntyre, D.H., 1991, Geologic map of the Bayhorse area, central Custer County, Idaho: U.S. Geological Survey, Miscellaneous Investigations Series Map I-1882, scale 1:62,500, https://doi.org/10.3133/i1882. U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020, GeMS (Geologic Map Schema) - A standard format for the digital publication of geologic maps: U.S. Geological Survey Techniques and Methods, book 11, chap ...
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TwitterThe data release for the geology of Payette National Forest and vicinity, west-central Idaho, is a Geologic Map Schema (GeMS)-compliant version that updates the GIS files for the geologic map published in U.S. Geological Survey (USGS) Professional Paper 1666 (Lund, 2004). The updated digital data present the attribute tables and geospatial features (points, lines and polygons) in the format that meets GeMS requirements. This data release presents the geologic map as shown on the plates and captured in geospatial data for published Professional Paper 1666. Minor errors, such as mistakes in line decoration or differences between the digital data and the map image, are corrected in this version. The database represents the geology for the 2.3 million-acre, geologically complex Payette National Forest in two plates, at a publication scale of 1:100,000. The map covers primarily Adams, Idaho, Valley, and Washington Counties, but also includes minor parts of Gem, Custer, and Lemhi Counties. New geologic mapping was undertaken between 1991 and 2003 and synthesized with older published maps, providing significant stratigraphic and structural data, age data for intrusive rocks, and interpretations of geologic development. These GIS data supersede those in the interpretive report: Lund, K., 2004, Geology of the Payette National Forest and vicinity, west-central Idaho: U.S. Geological Survey Professional Paper 1666, 89 p., 2 plates, scale 1:100,000, https://doi.org/10.3133/pp1666.
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TwitterThis is a dataset download, not a document. The Open button will start the download.
Oregon Geologic Data Compilation, release 7 (OGDC-7), compiled by Jon J. Franczyk, Ian P. Madin, Carlie J.M. Duda, and Jason D. McClaughry
The Oregon Geologic Data Compilation (OGDC) is a digital data collection of geologic studies created by the Oregon Department of Geology and Mineral Industries (DOGAMI). The purpose of the compilation is to integrate and make available the best available published geologic mapping for the state by combining maps and data into a single consistent and maintainable digital database. OGDC was first released by DOGAMI in 2004, with successive releases building either geographically or qualitatively on previous releases. OGDC-6 was published in 2015 and serves as the Oregon Geologic Data Standard for the state as a data element component of the Geosciences Theme within the Oregon Framework Themes. The release of OGDC-7 builds directly from data published in OGDC-6 by migrating the database structure to the National Cooperative Geologic Mapping Program (NCGMP) Geologic Map Schema (GeMS). DOGAMI has implemented the GeMS schema as the database standard for all geologic mapping projects published from 2019 onward to meet NCGMP requirements and to support the state’s contribution to standardized nationwide geologic content. The transition to OGDC-7 required migrating the existing OGDC statewide compilation to the GeMS format for streamlining future updates, data creation, and data maintenance. Additionally, the transition to GeMS adds fundamental geologic map point data (e.g., structural data, geochronology, and geochemistry) as comprehensive geospatial datasets not included as part of previous versions of OGDC.
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TwitterThe data release for geologic maps of Ravalli Group and other Mesoproterozoic Belt Supergroup strata in northern Idaho and northwestern Montana is a digital, Geologic Map Schema (GeMS)-compliant version of maps published in U.S. Geological Survey (USGS) Open-File Report 2001-438 (Boleneus and others, 2001). The new digital data include attribute tables and geospatial features (points, lines, and polygons) in the format that meets GeMS requirements. This data release presents the geologic maps as shown on the plates and captured in geospatial data for the published maps. The database represents the geology for the 2.7 million acre, geologically complex study area in eleven plates at a publication scale of 1:48,000, and two plates at a publication scale of 1:12,000. The maps cover primarily Sanders, Shoshone, Kootenai, and Lincoln Counties, but also include minor parts of Benewah and Bonner Counties. Geologic mapping was undertaken between 1979 and 1984 by ASARCO Inc. as part of their program to explore for sediment-hosted stratiform copper deposits in northern Idaho and western Montana. Geologic mapping was primarily focused on formations of the Ravalli Group, which resulted in large unmapped areas within the map boundary. In 2001 maps were scanned, georeferenced, and published by USGS (Boleneus and others, 2001). Boleneus, D.E., Applegate, L.M., Joseph, N.L., and Brandt, T.R., 2001, Raster Images of Geologic Maps of Middle Proterozoic Belt strata in parts of Benewah, Bonner, Kootenai and Shoshone Counties, Idaho and Lincoln, Mineral and Sanders Counties, Montana: U.S. Geological Survey Open-File Report OF-2001-438, scales 1:48,000 and 1:12,000, https://doi.org/10.3133/ofr2001438.
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TwitterCollation of species / habitat records contributing to the Geodatabase of Marine features adjacent to Scotland (GeMS). Records are attributed as to their qualification as protected features of protected areas within the Scottish MPA network. Where appropriate typical record details will include: status as Scottish Priority Marine Features or Annex II Species, scientific name, abundance details, date, date range, year, status, accuracy, determiner and details of where the records are sourced from and intellectual property ownership. Polygon area values in the HECTARES field are calculated using ETRS89-LAEA (EPSG:3035) using the standard centre of projection at 10deg E, 52deg N. Due to the complexity of the database we recommend using either the WMS version or the downloadable map packages which are preconfigured to show the data as it is intended.
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TwitterThis U.S. Geological Survey (USGS) data release provides a digital geospatial database for the geologic map of Precambrian metasedimentary rocks of the Medicine Bow Mountains, Albany and Carbon Counties, Wyoming (Houston and Karlstrom, 1992). Attribute tables and geospatial features (points, lines and polygons) conform to the Geologic Map Schema (GeMS, 2020) and represent the geologic map plates as published at a scale of 1:50,000. The 358,697-acre map area includes the geologically complex Medicine Bow Mountains located 30 miles (48 kilometers) west of Laramie in southeastern Wyoming. References: Houston, R.S., and Karlstrom, K.E., 1992, Geologic map of Precambrian metasedimentary rocks of the Medicine Bow Mountains, Albany and Carbon Counties, Wyoming: U.S. Geological Survey, Miscellaneous Investigations Series Map I-2280, scale 1:50,000, https://doi.org/10.3133/i2280. U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020, GeMS (Geologic Map Schema) - A standard format for the digital publication of geologic maps: U.S. Geological Survey Techniques and Methods, book 11, chap. B10, 74 p., https://doi.org//10.3133/tm11B10.
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This U.S. Geological Survey (USGS) data release provides a digital geospatial database for the geologic map of the central part of the northern Park Range, Jackson and Routt Counties, Colorado (Snyder, 1980). Attribute tables and geospatial features (points, lines, and polygons) conform to the Geologic Map Schema (USGS NCGMP, 2020) and represent the geologic map as published in USGS Miscellaneous Investigations Series Map I-1112. The 218,613-acre map area represents the geology at a publication scale of 1:48,000. References: Snyder, G.L., 1980, Geologic map of the central part of the northern Park Range, Jackson and Routt Counties, Colorado: U.S. Geological Survey, Miscellaneous Investigations Series Map I-1112, scale 1:48,000, https://doi.org/10.3133/i1112. U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020, GeMS (Geologic Map Schema) - A standard format for the digital publication of geologic maps: U.S. Geological Survey Techniques and Methods, book 11, c ...
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TwitterThis is a conversion of Wentworth and others (2023)[DAS1] to the Geologic Map Schema (GeMS) for inclusion in the National Geologic Map Database. The original publication was in the Alacarte schema commonly used for geologic map databases prior to the release of the now mandatory GeMS. The GIS layers in this release have the same scientific content as the source data release. The source data release lacks description of map units, however, so those have been copied verbatim from the two principal sources for that work (Witter and others, 2006 [DAS2]; Knudsen and others, 2000 [DAS3]).