100+ datasets found
  1. U

    Shapefile for Coastal Zone Management Program counties of the United States...

    • data.usgs.gov
    • data.cnra.ca.gov
    • +4more
    Updated Dec 30, 2024
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    Stephen Hartwell; Dana Wingfield; Alan Allwardt; Florence Wong; Frances Lightsom (2013). Shapefile for Coastal Zone Management Program counties of the United States and its territories, 2009 (CZMP_counties_2009.shp) [Dataset]. https://data.usgs.gov/datacatalog/data/USGS:f3b2429c-b5b7-442a-bc39-8d8b7cbe3429
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    Dataset updated
    Dec 30, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Stephen Hartwell; Dana Wingfield; Alan Allwardt; Florence Wong; Frances Lightsom
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    2009
    Area covered
    United States
    Description

    Shapefile for 492 Coastal Zone Management Program (CZMP) counties and county equivalents, 2009, extracted from the U.S. Census Bureau's MAF/TIGER database of U.S. counties and cross-referenced to a list of CZMP counties published by the NOAA/NOS Office of Ocean and Coastal Resource Management (OCRM). Data extent to the nearest quarter degree is 141.00 E to 64.50 W longitude and 14.75 S to 71.50 N latitude. TL2009 in this document refers to metadata content inherited from the original U.S. Census Bureau (2009) TIGER/Line shapefile. TL2009: The TIGER/Line Shapefiles are an extract of selected geographic and cartographic information from the Census MAF/TIGER database. The Census MAF/TIGER database represents a seamless national file with no overlaps or gaps between parts. However, each TIGER/Line Shapefile is designed to stand alone as an independent dataset or the shapefiles can be combined to cover the whole nation.

  2. CPW Walk In Access Program Shapefile Download

    • hub.arcgis.com
    Updated Mar 5, 2025
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    Colorado Parks & Wildlife (2025). CPW Walk In Access Program Shapefile Download [Dataset]. https://hub.arcgis.com/datasets/3ec15b9d5a4d4180b6897f7f873c8ea4
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    Dataset updated
    Mar 5, 2025
    Dataset provided by
    Colorado Parks and Wildlifehttps://cpw.state.co.us/
    Authors
    Colorado Parks & Wildlife
    Description

    Last Updated October 29, 2024WALK IN ACCESS PROGRAM - LATEThe fields depicted are intended for general reference and do not necessarily depict property boundaries. Field conditions can change often. Hunters should pay attention to the signs posted in the field. They are the deciding factor that determines access as enrolled properties. If a field is posted with a closed sign, there is no hunting allowed in that field, despite what the data depicts.Information depicted hereon is for reference purposes only and is compiled from best available sources. Reasonable efforts have been made to ensure the accuracy of this data. Colorado Parks and Wildlife expressly disclaims responsibility for damages or liability that may arise from the use of this data.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

  3. TIGER/Line Shapefile, Current, State, Oregon, Place

    • catalog.data.gov
    Updated Dec 15, 2023
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2023). TIGER/Line Shapefile, Current, State, Oregon, Place [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-current-state-oregon-place
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    Dataset updated
    Dec 15, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Oregon
    Description

    This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The TIGER/Line shapefiles include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. The boundaries of most incorporated places in this shapefile are as of January 1, 2023, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census, but some CDPs were added or updated through the 2023 BAS as well.

  4. U

    Textural Data from the Continental Margin Program (HATHAWAY71 shapefile)

    • data.usgs.gov
    • dataone.org
    • +2more
    + more versions
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    U.S. Geological Survey, Textural Data from the Continental Margin Program (HATHAWAY71 shapefile) [Dataset]. https://data.usgs.gov/datacatalog/data/USGS:d422772a-2112-4ef8-8e9b-563c25e02a01
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    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    U.S. Geological Survey
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    1971
    Description

    This data set contains sediment grain size and textural information from the Continental Margin Program. The program was a joint collaboration between the U.S. Geological Survey and the Woods Hole Oceanographic Institution during the 1960s to conduct a geological reconnaissance investigation of the continental shelf and slope off the Atlantic coast of the United States. Only those records with complete size analyses are included in this data set. Other stations where only lithologic descriptions are available have been excluded.

  5. a

    Bay Segment Boundaries NBEP2017 (shapefile)

    • hub.arcgis.com
    Updated Feb 4, 2020
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    NBEP_GIS (2020). Bay Segment Boundaries NBEP2017 (shapefile) [Dataset]. https://hub.arcgis.com/datasets/81126a3d27f24ebf89c1f61551d1001b
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    Dataset updated
    Feb 4, 2020
    Dataset authored and provided by
    NBEP_GIS
    Area covered
    Description

    Narragansett Bay, Little Narragansett Bay, and the Southwest Coastal Ponds are the three estuarine study areas under the purview of the Narragansett Bay Estuary Program (NBEP). This dataset represents all coastal waters and the coastline of Rhode Island and portions of coastline in neighboring Connecticut and Massachusetts, segmented according to all available information and the most common delineations of NBEP’s study areas. It includes the estuaries, the salt ponds, and estuarine tributaries. Segments are the smallest divisions of the Bay used for analysis in the 2017 State of Narragansett Bay & Its Watershed Technical Report (nbep.org). The boundaries of NBEP estuarine waters correspond to delineations by researchers studying the Bay. The Estuary Program compiled all available information and used the most common delineations to define estuarine waters. The upper boundaries of the estuarine waters correspond to the limits of tidal waters defined by: (1) the presence of existing dams (as of 2016) and (2) the extent of estuarine waters as defined and delineated by the states to assess water quality and shellfishing areas. The outer boundary of Narragansett Bay spans Point Judith and Sakonnet Point. See below for a full listing of data sources. This dataset is intended for use in general planning, GIS analysis, and mapping at watershed and subwatershed scales. For more information, please reference the 2017 State of Narragansett Bay & Its Watershed Technical Report (nbep.org).

  6. a

    QGIS - Open Source GIS Software

    • data-ecgis.opendata.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Aug 9, 2018
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    Eaton County Michigan (2018). QGIS - Open Source GIS Software [Dataset]. https://data-ecgis.opendata.arcgis.com/documents/57198670f4234919bfab87fb64d40a82
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    Dataset updated
    Aug 9, 2018
    Dataset authored and provided by
    Eaton County Michigan
    Description

    This is a link to the QGIS website where you can download open-source GIS software for viewing, analyzing and manipulating geodata like our downloadable shapefiles.

  7. C

    SSA

    • data.cityofchicago.org
    • datasets.ai
    • +2more
    Updated Oct 23, 2014
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    City of Chicago (2014). SSA [Dataset]. https://data.cityofchicago.org/w/cnf7-yj5k/3q3f-6823?cur=g6KyiScwJHl
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    xml, tsv, csv, application/rssxml, application/geo+json, application/rdfxml, kml, kmzAvailable download formats
    Dataset updated
    Oct 23, 2014
    Dataset authored and provided by
    City of Chicago
    Description

    Special Service Areas (SSA) boundaries in Chicago. The Special Service Area program is a mechanism used to fund expanded services and programs through a localized property tax levy within contiguous industrial, commercial and residential areas. The enhanced services and programs are in addition to services and programs currently provided through the city. SSA-funded projects could include, but are not limited to, security services, area marketing and advertising assistance, promotional activities such as parades and festivals, or any variety of small scale capital improvements that could be supported through a modest property tax levy. The data can be viewed on the Chicago Data Portal with a web browser. However, to view or use the files outside of a web browser, you will need to use compression software and special GIS software, such as ESRI ArcGIS (shapefile) or Google Earth (KML or KMZ).

  8. w

    Boundaries - Micro-Market Recovery Program - Zones

    • data.wu.ac.at
    • data.cityofchicago.org
    • +1more
    csv, json, kml, kmz +1
    Updated Aug 24, 2016
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    City of Chicago (2016). Boundaries - Micro-Market Recovery Program - Zones [Dataset]. https://data.wu.ac.at/schema/data_gov/ZmNlZmNiMTMtMGRmNC00ZWE0LTg4NmQtZjcxMTM3NjU2ZTc4
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    zip, kml, json, csv, kmzAvailable download formats
    Dataset updated
    Aug 24, 2016
    Dataset provided by
    City of Chicago
    Description

    The City of Chicago launched the Micro-Market Recovery Program (MMRP), a coordinated effort among the City, not-for-profit intermediaries, and non-profit and for-profit capital sources to improve conditions, strengthen property values, and create environments supportive of private investment in targeted markets throughout the city. The goal of MMRP is to improve conditions, strengthen property values, and create environments supportive of private investment in targeted areas by strategically deploying public and private capital and other tools and resources in well-defined micro-markets. This dataset shows the areas covered by the MMRP program. The data can be viewed on the Chicago Data Portal with a web browser. However, to view or use the files outside of a web browser, you will need to use compression software and special GIS software, such as ESRI ArcGIS (shapefile) or Google Earth (KML or KMZ). For more information on the MMRP program, please see http://www.regionalhopi.org/content/city-chicago-micro-market-recovery-program-overview.

  9. f

    fegn2021 shapefile for ArcMap

    • geodata.fnai.org
    • mapdirect-fdep.opendata.arcgis.com
    Updated Sep 30, 2021
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    Cossppgis (2021). fegn2021 shapefile for ArcMap [Dataset]. https://geodata.fnai.org/content/59ef5a92b78e4eb5ba8762ad15b8aa38
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    Dataset updated
    Sep 30, 2021
    Dataset authored and provided by
    Cossppgis
    Area covered
    Description

    Florida Ecological Greenways Network 2021 (layer name fegn2021_polygon): This vector layer was created from the original raster grid version (fegn2021) created by the University of Florida Center for Landscape Conservation Planning to provide an ecological component to the Statewide Greenways System plan developed by the Department of Environmental Protection, Office of Greenways and Trails (OGT). The FEGN guides OGT ecological greenway conservation efforts and promotes public awareness of the need for and benefits of a statewide ecological greenways network. It is also used as the primary data layer to inform the Florida Forever and other state and regional land acquisition programs regarding the location of the most important wildlife and ecological corridors and large, intact landscapes in the state. The FEGN identifies areas of opportunity for protecting a statewide network of ecological hubs (large areas of ecological significance) and linkages designed to maintain large landscape-scale ecological functions including priority species habitat and ecosystem services throughout the state. Inclusion in the FEGN means the area is either part of a large landscape-scale “hub”, or an ecological corridor connecting two or more hubs. Hubs indicate core landscapes that are large enough to maintain populations of wide-ranging or fragmentation-sensitive species including black bear or panther and areas that are more likely to support functional ecosystem services. Highest priorities indicate the most significant hubs and corridors in relation to completing a functionally connected statewide ecological network, but all priority levels have conservation value. FEGN Priorities 1, 2, and 3 are the most important for protecting a ecologically functional connected statewide network of public and private conservation lands, and these three priority levels (P1, P2, and P3) are now called the Florida Wildlife Corridor as per the Florida Wildlife Corridor legislation passed and signed into law by the Florida Legislature and Governor and 2021, which makes protection of these wildlife and ecological hubs and corridors a high priority as part of a strategic plan for Florida’s future. To accomplish this goal, we need robust state, federal, and local conservation land protection program funding for Florida Forever, Rural and Family Lands Protection Program, Natural Resources Conservation Service easements and incentives, federal Land and Waters Conservation Fund, payments for ecosystem services, etc.For more information http://conservation.dcp.ufl.edu/fegnproject/

  10. C

    Boundaries - Special Service Areas (Deprecated May 2019) - Tabular View

    • data.cityofchicago.org
    • datasets.ai
    • +2more
    Updated May 16, 2019
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    City of Chicago (2019). Boundaries - Special Service Areas (Deprecated May 2019) - Tabular View [Dataset]. https://data.cityofchicago.org/w/aq3f-cb5w/3q3f-6823?cur=lkUTP6QNasj&from=3G7w8KQVvgg
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    application/geo+json, application/rdfxml, csv, application/rssxml, tsv, kml, kmz, xmlAvailable download formats
    Dataset updated
    May 16, 2019
    Dataset authored and provided by
    City of Chicago
    Description

    OUTDATED. See the current data at https://data.cityofchicago.org/d/kjav-iyuj -- Special Service Areas (SSA) boundaries in Chicago. The Special Service Area program is a mechanism used to fund expanded services and programs through a localized property tax levy within contiguous industrial, commercial and residential areas. The enhanced services and programs are in addition to services and programs currently provided through the city. SSA-funded projects could include, but are not limited to, security services, area marketing and advertising assistance, promotional activities such as parades and festivals, or any variety of small scale capital improvements that could be supported through a modest property tax levy. The data can be viewed on the Chicago Data Portal with a web browser. However, to view or use the files outside of a web browser, you will need to use compression software and special GIS software, such as ESRI ArcGIS (shapefile) or Google Earth (KML or KMZ).

  11. a

    Colleges and Universities

    • hifld-geoplatform.hub.arcgis.com
    • disasters-geoplatform.hub.arcgis.com
    • +9more
    Updated Jun 30, 2022
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    GeoPlatform ArcGIS Online (2022). Colleges and Universities [Dataset]. https://hifld-geoplatform.hub.arcgis.com/datasets/geoplatform::colleges-and-universities/about
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    Dataset updated
    Jun 30, 2022
    Dataset authored and provided by
    GeoPlatform ArcGIS Online
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    The Colleges and Universities feature class/shapefile is composed of all Post Secondary Education facilities as defined by the Integrated Post Secondary Education System (IPEDS, http://nces.ed.gov/ipeds/), National Center for Education Statistics (NCES, https://nces.ed.gov/), US Department of Education for the 2020-2021 school year. Included are Doctoral/Research Universities, Masters Colleges and Universities, Baccalaureate Colleges, Associates Colleges, Theological seminaries, Medical Schools and other health care professions, Schools of engineering and technology, business and management, art, music, design, Law schools, Teachers colleges, Tribal colleges, and other specialized institutions. Overall, this data layer covers all 50 states, as well as Puerto Rico and other assorted U.S. territories. This feature class contains all MEDS/MEDS+ as approved by the National Geospatial-Intelligence Agency (NGA) Homeland Security Infrastructure Program (HSIP) Team. Complete field and attribute information is available in the ”Entities and Attributes” metadata section. Geographical coverage is depicted in the thumbnail above and detailed in the "Place Keyword" section of the metadata. This feature class does not have a relationship class but is related to Supplemental Colleges. Colleges and Universities that are not included in the NCES IPEDS data are added to the Supplemental Colleges feature class when found. This release includes the addition of 128 new records, the removal of 247 no longer reported by NCES, and modifications to the spatial location and/or attribution of 6312 records.

  12. CPW Public Access Properties Shapefile Download

    • hub.arcgis.com
    Updated Mar 5, 2025
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    Colorado Parks & Wildlife (2025). CPW Public Access Properties Shapefile Download [Dataset]. https://hub.arcgis.com/datasets/f227d7a73ecd4a3cae5e61a83ddd76a9
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    Dataset updated
    Mar 5, 2025
    Dataset provided by
    Colorado Parks and Wildlifehttps://cpw.state.co.us/
    Authors
    Colorado Parks & Wildlife
    Description

    Updated March 4, 2025The data of Colorado Parks and Wildlife public access property was derived using the boundary description in the area deed. The boundaries were described either using bearing and distances, or using BLM' GCDB dataset on a quarter, quarter section basis. A shapefile from BLM --GCDB of the quarter, quarter sections was downloaded and used for both a reference to help insure that boundary was being entered correctly and as a guide for traverse starting points. The shapefile was also used when the boundary was described using the plss to copy the quarter, quarter sections described in the deeds and paste those into the dataset. This was done in ArcMap. The meets and bounds section was mapped by using the traverse tool in ArcMap and typing in the bearings (geographic quadrant N00-00-00E) in degrees, minutes, seconds, and distances (in feet or rods, whichever was provided in the deed property description) into the dialog. GCDB was also used to create the boundary of parcels that were described using the plss land descriptions.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

  13. d

    Data from: Elevation artifacts in digital bathymetric and topographic models...

    • search.dataone.org
    • datadiscoverystudio.org
    • +3more
    Updated Feb 1, 2018
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    Kevin M. Befus; Kevin D. Kroeger (2018). Elevation artifacts in digital bathymetric and topographic models for United States east (east_cdem_v1.tif) and west (west_cdem_v.tif) coasts (polygon shapefile, geographic, NAD83) [Dataset]. https://search.dataone.org/view/2f5b3ba2-0fdf-43a7-be6d-faf0c77afeda
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    Dataset updated
    Feb 1, 2018
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Kevin M. Befus; Kevin D. Kroeger
    Area covered
    Variables measured
    FID, Loc, Type, ActDEM, Action, DEMname
    Description

    Investigations of coastal change and coastal resources often require continuous elevation profiles from the seafloor to coastal terrestrial landscapes. Differences in elevation data collection in the terrestrial and marine environments result in separate elevation products that may not share a vertical datum. This data release contains the assimilation of multiple elevation products into a continuous digital elevation model at a resolution of 3-arcseconds (approximately 90 meters) from the terrestrial landscape to the seafloor for the contiguous U.S., focused on the coastal interface. All datasets were converted to a consistent horizontal datum, the North American Datum of 1983, but the native vertical datum for each dataset was not adjusted. Artifacts in the source elevation products were replaced with other available elevation products when possible, corrected using various spatial tools, or otherwise marked for future correction. This data release contains the assimilation of multiple elevation products into a continuous digital elevation model at a resolution of 3-arcseconds (approximately 90 meters) from the terrestrial landscape to the seafloor for the contiguous U.S. that were constructed using this shapefile.

  14. d

    Geospatial Data from the Alpine Treeline Warming Experiment (ATWE) on Niwot...

    • search.dataone.org
    • knb.ecoinformatics.org
    • +1more
    Updated Jul 7, 2021
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    Fabian Zuest; Cristina Castanha; Nicole Lau; Lara M. Kueppers (2021). Geospatial Data from the Alpine Treeline Warming Experiment (ATWE) on Niwot Ridge, Colorado, USA [Dataset]. http://doi.org/10.15485/1804896
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    Dataset updated
    Jul 7, 2021
    Dataset provided by
    ESS-DIVE
    Authors
    Fabian Zuest; Cristina Castanha; Nicole Lau; Lara M. Kueppers
    Time period covered
    Jan 1, 2008 - Jan 1, 2012
    Area covered
    Description

    This is a collection of all GPS- and computer-generated geospatial data specific to the Alpine Treeline Warming Experiment (ATWE), located on Niwot Ridge, Colorado, USA. The experiment ran between 2008 and 2016, and consisted of three sites spread across an elevation gradient. Geospatial data for all three experimental sites and cone/seed collection locations are included in this package. ––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––– Geospatial files include cone collection, experimental site, seed trap, and other GPS location/terrain data. File types include ESRI shapefiles, ESRI grid files or Arc/Info binary grids, TIFFs (.tif), and keyhole markup language (.kml) files. Trimble-imported data include plain text files (.txt), Trimble COR (CorelDRAW) files, and Trimble SSF (Standard Storage Format) files. Microsoft Excel (.xlsx) and comma-separated values (.csv) files corresponding to the attribute tables of many files within this package are also included. A complete list of files can be found in this document in the “Data File Organization” section in the included Data User's Guide. Maps are also included in this data package for reference and use. These maps are separated into two categories, 2021 maps and legacy maps, which were made in 2010. Each 2021 map has one copy in portable network graphics (.png) format, and the other in .pdf format. All legacy maps are in .pdf format. .png image files can be opened with any compatible programs, such as Preview (Mac OS) and Photos (Windows). All GIS files were imported into geopackages (.gpkg) using QGIS, and double-checked for compatibility and data/attribute integrity using ESRI ArcGIS Pro. Note that files packaged within geopackages will open in ArcGIS Pro with “main.” preceding each file name, and an extra column named “geom” defining geometry type in the attribute table. The contents of each geospatial file remain intact, unless otherwise stated in “niwot_geospatial_data_list_07012021.pdf/.xlsx”. This list of files can be found as an .xlsx and a .pdf in this archive. As an open-source file format, files within gpkgs (TIFF, shapefiles, ESRI grid or “Arc/Info Binary”) can be read using both QGIS and ArcGIS Pro, and any other geospatial softwares. Text and .csv files can be read using TextEdit/Notepad/any simple text-editing software; .csv’s can also be opened using Microsoft Excel and R. .kml files can be opened using Google Maps or Google Earth, and Trimble files are most compatible with Trimble’s GPS Pathfinder Office software. .xlsx files can be opened using Microsoft Excel. PDFs can be opened using Adobe Acrobat Reader, and any other compatible programs. A selection of original shapefiles within this archive were generated using ArcMap with associated FGDC-standardized metadata (xml file format). We are including these original files because they contain metadata only accessible using ESRI programs at this time, and so that the relationship between shapefiles and xml files is maintained. Individual xml files can be opened (without a GIS-specific program) using TextEdit or Notepad. Since ESRI’s compatibility with FGDC metadata has changed since the generation of these files, many shapefiles will require upgrading to be compatible with ESRI’s latest versions of geospatial software. These details are also noted in the “niwot_geospatial_data_list_07012021” file.

  15. U

    Shapefile of flood inundation maps for Papillion Creek near Offutt Air Force...

    • data.usgs.gov
    • catalog.data.gov
    Updated May 26, 2023
    + more versions
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    Kellan Strauch (2023). Shapefile of flood inundation maps for Papillion Creek near Offutt Air Force Base, Nebraska [Dataset]. http://doi.org/10.5066/P9XQIXMN
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    Dataset updated
    May 26, 2023
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Kellan Strauch
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    2023
    Area covered
    Nebraska, Offutt Air Force Base, Papillion Creek
    Description

    These data-sets are polygon shapefiles that represent flood inundation boundaries for 157 flooding scenarios in an 8-mile reach of the Papillion Creek near Offutt Air Force Base. These shapefiles were created by the U.S. Geological Survey (USGS) in cooperation with the U.S. Air Force, Offutt Air Force Base for use within the USGS Flood Inundation Mapping program. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgages on the Papillion Creek at Fort Crook, Nebr. (station 06610795) and Papillion Creek at Harlan Lewis Road near La Platte, Nebr. (station 06610798). Near-real-time stages at these streamgages may be obtained from the USGS National Water Information System web interface at https://doi.org/10. ...

  16. TIGER/Line Shapefile, 2020, State, Colorado, Voting Districts

    • catalog.data.gov
    • datasets.ai
    Updated Nov 1, 2022
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Publisher) (2022). TIGER/Line Shapefile, 2020, State, Colorado, Voting Districts [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2020-state-colorado-voting-districts
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    Dataset updated
    Nov 1, 2022
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Colorado
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Voting district is the generic name for geographic entities such as precincts, wards, and election districts established by State governments for the purpose of conducting elections. States participating in the 2010 Census Redistricting Data Program as part of Public Law 94-171 (1975) provided the Census Bureau with boundaries, codes, and names for their VTDs. Each VTD is identified by a 1- to 6-character alphanumeric census code that is unique within county. For the 2010 Census, Kentucky and Rhode Island are the only States that did not provide voting district boundaries as part of Phase 2 (the Voting District Project) of the Redistricting Data Program and no VTDs exist for these States in the 2020 Census data products. Note that only Montana and Oregon do not have complete coverage of VTDs for the 2020 Census.

  17. U

    Data from: Northeast Monitoring Program Sediment Descriptions (REID82...

    • data.usgs.gov
    • datadiscoverystudio.org
    • +3more
    Updated Oct 31, 2003
    + more versions
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    Lawrence Poppe, Northeast Monitoring Program Sediment Descriptions (REID82 shapefile) [Dataset]. https://data.usgs.gov/datacatalog/data/USGS:3c2e0758-bec1-4779-90db-0ca7c3b34b1d
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    Dataset updated
    Oct 31, 2003
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Lawrence Poppe
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    1982
    Description

    The data in this set are part of the "Ocean Pulse" benthic studies that were conducted on the U.S. northeast shelf by the National Marine Fisheries Service. This data set represents only those data collected as part of this program during 1981-1982 and off New England. Those stations occupied in the New York Bight are not included. Although chemical analyses (organic carbon and total Kjeldahl nitrogen) were also conducted, only textural descriptions are included here.

  18. C

    Boundaries - Enterprise Zones

    • data.cityofchicago.org
    • datadiscoverystudio.org
    • +1more
    application/rdfxml +5
    Updated Oct 1, 2021
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    City of Chicago (2021). Boundaries - Enterprise Zones [Dataset]. https://data.cityofchicago.org/w/64xf-pyvh/3q3f-6823?cur=XUaJE6keco6
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    csv, json, xml, application/rssxml, tsv, application/rdfxmlAvailable download formats
    Dataset updated
    Oct 1, 2021
    Dataset authored and provided by
    City of Chicago
    Description

    The Illinois Enterprise Zone Program is designed to stimulate economic growth and neighborhood revitalization in economically depressed areas of the state. For more information about this program, go to http://www.commerce.state.il.us/dceo/Bureaus/Business_Development/Tax+Assistance/Enterprise-Zone.htm. The data can be viewed on the Chicago Data Portal with a web browser. However, to view or use the files outside of a web browser, you will need to use compression software and special GIS software, such as ESRI ArcGIS (shapefile) or Google Earth (KML or KMZ).

  19. e

    Revitalizing Baltimore Program - GIS Shapefile - Studies - GIS - Boundary -...

    • portal.edirepository.org
    zip
    Updated Feb 12, 2007
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    Peter Groffman (2007). Revitalizing Baltimore Program - GIS Shapefile - Studies - GIS - Boundary - Gwynns Falls Watershed (GFW) Boundary [Dataset]. http://doi.org/10.6073/pasta/67c98eb29c13b0a63ad7eae68fcaaa3e
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    zip(20 kilobyte)Available download formats
    Dataset updated
    Feb 12, 2007
    Dataset provided by
    EDI
    Authors
    Peter Groffman
    Time period covered
    Jan 1, 2000
    Area covered
    Description

    Originating Baltimore Ecosystem Study

       Description of Gwynns Falls watershed boundary polygon
    
    
       Status of Dataset final
    
    
       Geographic Area Gwynns Falls Watershed
    
    
       West Bounding 881634
    
    
       East Bounding 932995
    
    
       North Bounding 560554
    
    
       South Bounding 497014
    
    
       Keywords watershed boundary
    
    
       Contact Person Jonathan Walsh
    
    
       Contact Phone # 845-677-5343
    
    
       Contact e-mail walshj@ecostudies.org
    
    
       Project Baltimore Ecosystem Study
    
    
       Format of Data and ARC/Info export (*.e00)
    
    
       File Name GF_BND
    
    
       File Size
    
    
       Type of Source gis coverage
    
    
       Scale of Source
    
    
       Date(s) of Source 1995
    
    
       Method of Data n/a
    
    
       Method of Digital This coverage was created by SELECTing the Gwynns Falls Watershed from a coverage of subsheds.
    
    
       Date(s) of Digital 1995
    
    
       Resolution/Accuracy n/a
    
    
       Geographic n/a
    
    
       Type of Data vector
    
    
       Coordinate Maryland State Plane, feet, NAD27
    
    
       Attribute n/a
    
    
       Available Media on-line
    
    
       Distribution free
    
    
       Access/Use No constraints. The authors of this dataset would appreciate acknowledgment in products derived.
    
    
       Level II Metadata none
    
    
       Level III Metadata none
    
  20. E

    Revitalizing Baltimore Program - GIS Shapefile - Surface Characteristics -...

    • portal.edirepository.org
    Updated Mar 1, 2016
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    Environmental Data Initiative (2016). Revitalizing Baltimore Program - GIS Shapefile - Surface Characteristics - Gwynns Falls Watershed forested land polygons - GIS [Dataset]. http://doi.org/10.6073/pasta/715bad31a95831f2565cf36b4b482b9f
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    Dataset updated
    Mar 1, 2016
    Dataset provided by
    Environmental Data Initiative
    Area covered
    Description

    BES Website Originating Maryland Department of Natural Resources Description of Gwynns Falls watershed forested land polygons Status of Dataset final Geographic Area Gwynns Falls Watershed West Bounding 844643 East Bounding 899896 North Bounding 598260 South Bounding 516090 Keywords forest land use, reach code Contact Person Jonathan Walsh Contact Phone # 845-677-5343 Contact e-mail walshj@ecostudies.org Project Baltimore Ecosystem Study Format of Data and ARC/Info export (*.e00) File Name GFBC0215 File Size Type of Source gis coverage Scale of Source Date(s) of Source 1995 Method of Data n/a Method of Digital Date(s) of Digital 1995 Resolution/Accuracy n/a Geographic n/a Type of Data vector Coordinate Maryland State Plane, feet, NAD27 Attribute n/a Available Media on-line Distribution free Access/Use No constraints. The authors of this dataset would appreciate acknowledgment in products derived. Level II Metadata none Level III Metadata none

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Stephen Hartwell; Dana Wingfield; Alan Allwardt; Florence Wong; Frances Lightsom (2013). Shapefile for Coastal Zone Management Program counties of the United States and its territories, 2009 (CZMP_counties_2009.shp) [Dataset]. https://data.usgs.gov/datacatalog/data/USGS:f3b2429c-b5b7-442a-bc39-8d8b7cbe3429

Shapefile for Coastal Zone Management Program counties of the United States and its territories, 2009 (CZMP_counties_2009.shp)

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Dataset updated
Dec 30, 2024
Dataset provided by
United States Geological Surveyhttp://www.usgs.gov/
Authors
Stephen Hartwell; Dana Wingfield; Alan Allwardt; Florence Wong; Frances Lightsom
License

U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically

Time period covered
2009
Area covered
United States
Description

Shapefile for 492 Coastal Zone Management Program (CZMP) counties and county equivalents, 2009, extracted from the U.S. Census Bureau's MAF/TIGER database of U.S. counties and cross-referenced to a list of CZMP counties published by the NOAA/NOS Office of Ocean and Coastal Resource Management (OCRM). Data extent to the nearest quarter degree is 141.00 E to 64.50 W longitude and 14.75 S to 71.50 N latitude. TL2009 in this document refers to metadata content inherited from the original U.S. Census Bureau (2009) TIGER/Line shapefile. TL2009: The TIGER/Line Shapefiles are an extract of selected geographic and cartographic information from the Census MAF/TIGER database. The Census MAF/TIGER database represents a seamless national file with no overlaps or gaps between parts. However, each TIGER/Line Shapefile is designed to stand alone as an independent dataset or the shapefiles can be combined to cover the whole nation.

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