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TwitterProf. Robert Hartwell (1932 - 1996) created his China Historical GIS under the auspices of his company Chinese Historical Studies. His estate left the data to Harvard University. These materials include functional GIS datasets for the Chinese Dynasties, from Tang to Ming, which were based on the concept of "co-location," or the use of GIS representations of modern county-level administrative units as building blocks to depict the approximate shapes of historical areas. Making use of county boundary data for 1992, (obtained from Crissman's ACASIAN data), Hartwell represented historical units that occupied roughly the same areas by merging or splitting the 1992 counties. Where the contemporary boundaries could not be "co-located" in this fashion, Hartwell drew in approximate line boundaries to divide the contemporary units to fit the historical situations and therefore provide an approximation of the historical unit's area. Although the resulting boundaries are, in many cases, problematic representations, the GIS remains an interesting hueristic GIS tool for sorting, querying, and creating digital maps for selected areas within the major dynasties up to the Ming. Harvard University released the original Hartwell datasets on April 2nd, 2001, in conjunction with the CHGIS project, as a useful means of generating approximate spatial entities correlating to historical administrative units. For Version 5, the Hartwell Datasets were renamed according to a filenaming convention (described above) and projected to match the CHGIS V5 standard (2014).
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Twitter(See USGS Digital Data Series DDS-69-E) A geographic information system focusing on the Cretaceous Travis Peak and Hosston Formations was developed for the U.S. Geological Survey's (USGS) 2002 assessment of undiscovered, technically recoverable oil and natural gas resources of the Gulf Coast Region. The USGS Energy Resources Science Center has developed map and metadata services to deliver the 2002 assessment results GIS data and services online. The Gulf Coast assessment is based on geologic elements of a total petroleum system (TPS) as described in Dyman and Condon (2005). The estimates of undiscovered oil and gas resources are within assessment units (AUs). The hydrocarbon assessment units include the assessment results as attributes within the AU polygon feature class (in geodatabase and shapefile format). Quarter-mile cells of the land surface that include single or multiple wells were created by the USGS to illustrate the degree of exploration and the type and distribution of production for each assessment unit. Other data that are available in the map documents and services include the TPS and USGS province boundaries. To easily distribute the Gulf Coast maps and GIS data, a web mapping application has been developed by the USGS, and customized ArcMap (by ESRI) projects are available for download at the Energy Resources Science Center Gulf Coast website. ArcGIS Publisher (by ESRI) was used to create a published map file (pmf) from each ArcMap document (.mxd). The basemap services being used in the GC map applications are from ArcGIS Online Services (by ESRI), and include the following layers: -- Satellite imagery -- Shaded relief -- Transportation -- States -- Counties -- Cities -- National Forests With the ESRI_StreetMap_World_2D service, detailed data, such as railroads and airports, appear as the user zooms in at larger scales. This map service shows the structural configuration of the top of the Travis Peak or Hosston Formations in feet below sea level. The map was produced by calculating the difference between a datum at the land surface (either the Kelly bushing elevation or the ground surface elevation) and the reported depth of the Travis Peak or Hosston. This map service also shows the thickness of the interval from the top of the Travis Peak or Hosston Formations to the top of the Cotton Valley Group.
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TwitterU.S. Government Workshttps://www.usa.gov/government-works
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Selected GIS data that encompass Carson National Forest are available for download from this page. A link to the FGDC compliant metadata is provided for each dataset. All data are in zipped shapefile format, in the following projection: Universal Transverse Mercator Zone: 13 Units: Meters Datum: NAD 1983 Spheroid: GRS 1980 Resources in this dataset:Resource Title: Carson National Forest GIS Data. File Name: Web Page, url: https://www.fs.usda.gov/detail/r3/landmanagement/gis/?cid=stelprdb5202766
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TwitterThe files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. We followed methods in Anderson and Merrill (1998) for combining gradient layers into an “ecological land units” map (also referred to as a “biophysical units” map). Our goal was to use this information to create sampling strata that capture the range of environments observed. The Anderson and Merrill (1998) method (implemented as a set of GIS scripts by F. Biasi (2001)) builds an ecological units map by classifying and combining individual environmental gradient maps in a GIS. Maps of aspect, moisture, slope, and slope shape are reclassified and assembled to produce maps of landform units. These landform units are then combined with reclassified elevation and geologic maps to produce a final ecological land units or “ELU” map. We used these methods as a guide to building an ecological land units map for Shenandoah National Park, adapting the procedures for local conditions. Individual steps in the process and maps resulting from intermediate and final stages are described in the report.
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TwitterU.S. Government Workshttps://www.usa.gov/government-works
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Selected GIS data that encompass Coronado National Forest are available for download from this page. A link to the FGDC compliant metadata is provided for each dataset. All data are in zipped shapefile format, in the following projection: Universal Transverse Mercator Zone: 12 Units: Meters Datum: NAD 1983 Spheroid: GRS 1980 Resources in this dataset:Resource Title: Coronado National Forest GIS Data. File Name: Web Page, url: https://www.fs.usda.gov/detail/r3/landmanagement/gis/?cid=stelprdb5208076
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TwitterA GIS database of geologic units and structural features in Idaho, with lithology, age, data structure, and format written and arranged just like the other states.
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TwitterDiazo copy of Hubbard Brook Major Vegetation Units Map. UTM coordinate system shown. The vegetation unit boundaries were manually digitized. Data distributed as shapefile in Coordinate system EPSG:26919 - NAD83 / UTM zone 19N
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TwitterWisconsin DNR Deer Management Units and Metro sub-units separated by Zones. For more information, contact Erin Larson - Wisconsin DNR Bureau of Wildlife Management or Bill Ceelen - Wisconsin DNR Bureau of Technology Services, GIS Section. Field definitions:DEER_MGMT_UNIT_ID (shapefile: DEER_MGMT_) - Deer Management Unit (DMU): DMUs mirror county boundaries in the Central and Southern Farmland zones and are habitat-based in the Northern and Central Forest zones. Metropolitan subunits, islands of the Apostle Islands National Lakeshore and Madeline Island in Ashland County or being within the exterior boundaries of the Bad River, Lac Courte Oreilles, Lac du Flambeau, Menominee and Red Cliff Reservations have separate boundaries. Antlerless deer quotas and authorizations are decided at the DMU level. DEER_MANAGEMENT_ZONE (shapefile: DEER_MANAG) - Deer Management Zone (DMZ): DMUs grouped together in similar habitat types METRO_SUBUNIT (shapefile: METRO_SUBU) - Metropolitan deer management subunits that are a subdivided part of a DMU due to it being in an urban area. DEER_MGMT_UNIT_NAME (shapefile: DEER_MGMT1) - a combination of the deer management unit (DMU), the Metro Subunit, and the zone (DMZ).
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TwitterGeologic map data in shapefile format that includes faults, unit contacts, unit polygons, attitudes of strata and faults, and surficial geothermal features. 5 cross-sections in Adobe Illustrator format. Comprehensive catalogue of drill-hole data in spreadsheet, shapefile, and Geosoft database formats. Includes XYZ locations of well heads, year drilled, type of well, operator, total depths, well path data (deviations), lithology logs, and temperature data. 3D model constructed with EarthVision using geologic map data, cross-sections, drill-hole data, and geophysics.
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TwitterThe Digital Geologic-GIS Map of the Acadian Cultural Center Unit, Jean Lafitte National Historical Park and Preserve, Louisiana is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (accu_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (accu_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (accu_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (jela_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (jela_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (accu_geology_metadata_faq.pdf). Please read the jela_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Louisiana Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (accu_geology_metadata.txt or accu_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:100,000 and United States National Map Accuracy Standards features are within (horizontally) 50.8 meters or 166.7 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).
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TwitterOBJECTID ObjectIDSHAPE ESRI Geometry FieldNAME_PETITION Name assigned to the area petitioned to be designated as unsuitable for mining.PETITIONER The entity that submitted the petition.PETITIONID An identification number assigned to the area petitioned to be designated as unsuitable for mining.DATE_RECEIVED The date the Department received the petition to designate the area as unsuitable for mining.COUNTY The county the area is located in.PETITIONSTATUS Current status of the petition review.DATE_FINAL The date the Department made a final action on the petition.ACRES_PETITIONED Acreage of area petitioned to be designated as unsuitable for mining.ACRES_DESIGNATED Acreage of area designated as unsuitable for mining during review.ACRES_COAL Acreage of coal field extents inside the area designated as unsuitable for mining.ACRES_GIS Acreage of area calculated in GIS using PA Albers Equal Area Conic projectionSQMILE_GIS Square miles of area calculated in GIS using PA Albers Equal Area Conic projection.NOTES Additional notes.SHAPE.AREA GIS Area in native map unitsSHAPE.LEN Length/Perimeter in native map units
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TwitterLast Updated March 4, 2025These units are for hunting terrestrial game species, except bighorn sheep and mountain goats in Colorado.Colorado Parks and Wildlife Public GIS Data Update ScheduleAdministrative Boundary GIS Data1) First Week in February – to match any changes in Sheep, Goat, or Big Game GMU boundaries published in the Big Game Brochure.2) First Week in March – to update changes in administrative boundaries Regions, Areas, and Districts.3) First Week in August – to update Public Access Properties at the beginning of Big Game hunting seasons.4) First Week in September – to update Walk In Access program property boundaries.5) First Week in November – to update Walk In Access program property boundaries (late season).Wildlife Species GIS Data1) Mid December – at the completion of regional species activity mapping updates
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TwitterThis polygon file depicts USGS Hydrologic Unit Code 12 (HUC12) boundaries intersecting Kansas. See https://www.usgs.gov/national-hydrography/national-hydrography-dataset and https://www.usgs.gov/national-hydrography/watershed-boundary-dataset for more information.The only modification to the data by KBS was the addition of a new attribute column containing a numerically formatted HUC identification number.Hosted Feature Layer: https://ku.maps.arcgis.com/home/item.html?id=0d15901ab05142bd8e8346bbf7ee59f7Source data acquisition date: January 22, 2023Source data download directory: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Hydrography/NHD/State/GDB/Source data download file: NHD_H_Kansas_state_GDB.zip
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Last Update:7. 7. 2023 - lvl2: update of new administrative boundaries of the Sidama region - structure of zones (layer Level2) - new boundaries and names3. 4. 2023 - lvl3: update of the Bonke woreda boundary (on the basis of division into the two woredas: Bonke and Geresse)Data Descriptionlvl1 - Region/state. Contain only the boundary of South Nations, Nationalities and People's Regional state.lvl2 - Zones. Divides the territory into zones covering SNNPR statelvl3 - Woredas. Administrative sub-unit of the zone.Administrative unit lvl 4 - kebele is separated layer, see description at https://arcg.is/00mS4f0
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Download .zipA soil mapping unit designates a specific type of soil which has unique characteristics including texture, slope, and erosion class.
These soils were digitized from the paper final soil survey sheets. These sheets were taped together to form an area covering each of the USGS 7.5 minute quadrangle maps in the county. The areas for each quadrangle were then digitized using run-length encoding technique sampling along horizontal lines which represented the midline of cells with a height of 250 feet. The measurement increment along these lines was one decafoot (10 feet). The quadrangle files were then merged into a county file which has subsequently been converted to Arc/Info format.
The user should bear in mind that this coverage is only an approximation of the soil survey and should not be used for site specific analysis.
Additional details of the digitizing process are available upon request.
Original coverage data was converted from the .e00 file to a more standard ESRI shapefile(s) in November 2014.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesReal Estate & Land ManagementReal Estate and Lands Management2045 Morse Rd, Bldg I-2Columbus, OH, 43229Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov Data Update Frequency: As Needed
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TwitterOBJECTID ObjectIDSHAPE ESRI Geometry FieldNAME_PETITION Name assigned to the area petitioned to be designated as unsuitable for mining.PETITIONER The entity that submitted the petition.PETITIONID An identification number assigned to the area petitioned to be designated as unsuitable for mining.DATE_RECEIVED The date the Department received the petition to designate the area as unsuitable for mining.COUNTY The county the area is located in.PETITIONSTATUS Current status of the petition review.DATE_FINAL The date the Department made a final action on the petition.ACRES_PETITIONED Acreage of area petitioned to be designated as unsuitable for mining.ACRES_DESIGNATED Acreage of area designated as unsuitable for mining during review.ACRES_COAL Acreage of coal field extents inside the area designated as unsuitable for mining.ACRES_GIS Acreage of area calculated in GIS using PA Albers Equal Area Conic projectionSQMILE_GIS Square miles of area calculated in GIS using PA Albers Equal Area Conic projection.NOTES Additional notes.SHAPE.AREA GIS Area in native map unitsSHAPE.LEN Length/Perimeter in native map units
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TwitterThe Surficial Aquifers of New Jersey consists of Geographic Information Systems (GIS) shape file of the surficial aquifers and confining units in New Jersey. The surfical-aquifer coverage includes glacial sediment exceeding 50 ft. thickness in northern New Jersey, and surficial sediment thicker than 50 ft. overlying Coastal Plain aquifers and confining units. The coverage is generalized to the 1:250,000 scale by eliminating polygons with less than 1,000,000 sq. ft. area (about 23 acres). The data were digitized from various published and unpublished 1:24,000, 1:100,000, and 1:250,000 scale geologic maps compiled from 1987 to 1993.
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TwitterThe Bedrock Aquifers of New Jersey consists of Geographic Information Systems (GIS) shape files of the bedrock aquifers and confining units in New Jersey. The bedrock-aquifer coverage includes fractured-rock aquifers of the Valley and Ridge, Highlands, and Piedmont physiographic provinces, and aquifers and confining units of the Coastal Plain physiographic province. The coverage was generalized to the 1:250,000 scale by eliminating polygons with less than 1,000,000 sq. ft. area (about 23 acres). The data were digitized from various published and unpublished 1:24,000, 1:100,000, and 1:250,000 scale geologic maps compiled from 1987 to 1993.
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TwitterThe Groundwater Classification Areas GAA layer represents designated groundwater protection zones within the State of New Hampshire, established in accordance with RSA 485-C:5 of the Groundwater Protection Act. This act mandates the classification of all groundwater for the purpose of implementing protective measures and management practices that prevent contamination and preserve groundwater as a resource.Specifically, GAA classifications are applied to areas that receive enhanced protection due to their importance as drinking water sources or their vulnerability to contamination. These areas are typically managed by local entities or public water suppliers through an approved local groundwater management program. Reclassification to GAA status requires demonstrated commitment to pollution prevention, including land-use controls and emergency response planning, to reduce risks associated with hazardous materials such as petroleum products or industrial chemicals.The spatial features in this dataset represent the official perimeters of GAA-designated areas, and include both state-mandated and locally requested zones. It is important to note that classification does not necessarily reflect existing groundwater quality, but rather the intended level of protection based on use and vulnerability.This dataset is maintained by the New Hampshire Department of Environmental Services (NHDES) and supports regulatory review, local planning, source water protection, and public health initiatives.Attributes:PERIMETER: Calculated perimeter of the classified area polygon.Local_Ent: The local entity (e.g., town, water supplier) managing the GAA.A_Reclass: Indicates whether the area is administratively reclassified.Contact: Primary contact person for the area’s groundwater program.Address: Mailing address for the responsible party or organization.Shape.STArea(): The geographic area in square units.Shape.STLength(): The perimeter length of the classified area.arcgis_core.DBO.Groundwater_Classification_Areas_GAA.AREA: Recorded area measurement, typically in acres or square feet.OBJECTID: System-generated unique identifier.
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TwitterThis United States Geological Survey (USGS) web map displays the National Watershed Boundary Dataset (WBD). It defines the perimeter of drainage areas formed by the terrain and other landscape characteristics. The drainage areas are nested within each other so that a large drainage area (Upper Mississippi River), will be composed of multiple smaller drainage areas like the Wisconsin River. Each of these smaller areas can be further subdivided into subsequently smaller drainage areas.The intent of defining hydrologic units (HU) for the WBD is to establish a base-line drainage boundary framework, accounting for all land and surface areas. The WBD is a comprehensive aggregated collection of HU data consistent with the national criteria for delineation and resolution. Each HU is identified by a unique hydrologic unit code (HUC). This service includes HU boundaries for HUC2 (Hydrologic unit boundary), HUC4 (Region), HUC6 (Subregion), HUC8 (Basin), HUC10 (Sub-basin) and HUC12 (Watershed). Pop-ups include HUC name, HUC code and the states that are included in each HU.More information about the WBD can be found at the WBD information site.Click here for information on the Federal Standards and Procedures for the National Watershed Boundary Dataset.Data for this service can be found here._Other Federal User Community federally focused content that may interest youDepartment of the Interior U.S Geological Survey
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TwitterProf. Robert Hartwell (1932 - 1996) created his China Historical GIS under the auspices of his company Chinese Historical Studies. His estate left the data to Harvard University. These materials include functional GIS datasets for the Chinese Dynasties, from Tang to Ming, which were based on the concept of "co-location," or the use of GIS representations of modern county-level administrative units as building blocks to depict the approximate shapes of historical areas. Making use of county boundary data for 1992, (obtained from Crissman's ACASIAN data), Hartwell represented historical units that occupied roughly the same areas by merging or splitting the 1992 counties. Where the contemporary boundaries could not be "co-located" in this fashion, Hartwell drew in approximate line boundaries to divide the contemporary units to fit the historical situations and therefore provide an approximation of the historical unit's area. Although the resulting boundaries are, in many cases, problematic representations, the GIS remains an interesting hueristic GIS tool for sorting, querying, and creating digital maps for selected areas within the major dynasties up to the Ming. Harvard University released the original Hartwell datasets on April 2nd, 2001, in conjunction with the CHGIS project, as a useful means of generating approximate spatial entities correlating to historical administrative units. For Version 5, the Hartwell Datasets were renamed according to a filenaming convention (described above) and projected to match the CHGIS V5 standard (2014).