12 datasets found
  1. d

    Denver Coal Basin boundary from 1999 National Coal Resource Assessment

    • search.dataone.org
    • data.usgs.gov
    • +1more
    Updated Nov 4, 2015
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    United States Geological Survey (USGS) Central Region Energy Resources Team (2015). Denver Coal Basin boundary from 1999 National Coal Resource Assessment [Dataset]. https://search.dataone.org/view/afe15cee-c27c-46ca-b25f-470281515e37
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    Dataset updated
    Nov 4, 2015
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    United States Geological Survey (USGS) Central Region Energy Resources Team
    Area covered
    Variables measured
    Area, Perimeter
    Description

    This ArcView shapefile contains a polygon representing the extent of the Denver coal basin boundary. This theme was created specifically for the National Coal Resources Assessment in the Northern Rocky Mountains and Great Plains Region.

  2. d

    Evolution of the landscape along the Clear Creek Corridor,...

    • search.dataone.org
    • catalog.data.gov
    Updated Oct 29, 2016
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    Belinda Arbogast; Daniel H. Knepper, Jr; Roger A. Melick; John Hickman (2016). Evolution of the landscape along the Clear Creek Corridor, Colorado--Urbanization, aggregate mining, and reclamation [Dataset]. https://search.dataone.org/view/e92414a8-3c25-4acf-a03c-bad63ebf88e7
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    Dataset updated
    Oct 29, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Belinda Arbogast; Daniel H. Knepper, Jr; Roger A. Melick; John Hickman
    Area covered
    Variables measured
    ID, LULC, NOTE, TYPE, RCODE, ROUTE, LEVEL1, LEVEL2, LEVEL3, LEVEL4, and 12 more
    Description

    Prime agricultural land along the Clear Creek floodplain, Colorado, attracted settlement in the 1850's but the demand for sand and gravel for 1900's construction initiated a sequence of events that exceeded previous interests and created the modified landscape and urban ecosystem that exists today. The Clear Creek valley corridor offers a landscape filled with a persistent visible and hidden reminder of it's past use. The map sheets illustrate the Clear Creek landscape as a series of compositions, both at the macro view (in the spatial context of urban structure and highways from aerial photographs) and micro view (from the civic scale where landscape features like trees, buildings, and sidewalks are included). The large-scale topographic features, such as mountains and terraces, appear "changeless" (they do change over geologic time), while Clear Creek has changed from a wide braided stream to a narrow confined stream. Transportation networks (streets and highways) and spiraling population growth in adjacent cities (from approximately 38,000 people in 1880 to over a million in 1999) form two dominant landscape patterns. Mining and wetland/riparian occupy the smallest amount of land use acres compared to urban, transportation, or water reservoir activities in the Clear Creek aggregate reserve study area. Four types of reclaimed pits along Clear Creek were determined: water storage facilities, wildlife/greenbelt space, multiple-purpose reservoirs, and "hidden scenery." The latter involves infilling gravel pits (with earth backfill, concrete rubble, or sanitary landfill) and covering the site with light industry or residential housing making the landform hard to detect as a past mine site. Easier to recognize are the strong-edged, rectilinear water reservoirs, reclaimed from off-channel sand and gravel pits that reflect the land survey grid and property boundaries. The general public may not realize softly contoured linear wildlife corridors connecting urban, industrial, and natural space were once mine sites too. Multiple-use water projects from exhausted pits appear to be the new millennium parks, providing water storage, passive recreation, and habitat restoration for the Denver metropolitan area. The public objects to mining yet enjoys the reclaimed mine sites as recreation and wildlife space.

  3. a

    Parcels

    • gis-arvada.opendata.arcgis.com
    Updated Jan 2, 2006
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    arvada (2006). Parcels [Dataset]. https://gis-arvada.opendata.arcgis.com/items/602790b439154d8bac95ae7f3562911f
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    Dataset updated
    Jan 2, 2006
    Dataset authored and provided by
    arvada
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Description

    City of Arvada Parcels which fall in Jefferson County and Adams County. A parcel is any division of land held under one ownership, regardless of size. County Assessor's offices maintain these land records according to the legally-defined ownership boundaries and assigns each parcel a unique parcel identification number, or PIN, for recording purposes. The PIN becomes the universal method of referencing that particular property for the purposes of taxation, zoning, mortgages, liens, etc.

  4. Data from: High-Resolution Orthorectified Imagery from 2008, Niwot Ridge...

    • search.dataone.org
    • portal.edirepository.org
    Updated Apr 5, 2019
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    Dennis Sandin (2019). High-Resolution Orthorectified Imagery from 2008, Niwot Ridge LTER Project Area, Colorado [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-nwt%2F720%2F3
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    Dataset updated
    Apr 5, 2019
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Dennis Sandin
    Time period covered
    Mar 14, 2008 - Jun 30, 2008
    Area covered
    Description

    This image tile is part of an orthophotography project covering contiguous areas of interest in and adjacent to the jurisdictional boundary of the Denver Region Council of Governments (DRCOG) in central Colorado. The project is known as the Denver Region Aerial Photography Project (DRAPP) begun and completed in 2008. The tiles are images which depict color digital aerial photographs acquired in the spring of 2008 during leaf-off conditions and in early summer of 2008 over mountainous areas to minimize snow cover. Lens and terrain distortion have been removed and tonal differences between adjacent images have been minimized to form a mosaic of the entire project area. The project area includes The Denver Metropolitan area and both eastern plains and western mountains adjacent to the metro area. Orthorectified imagery is assumed to depict features at ground level, so above ground features may show some distortion from elevation. The only exceptions to this are bridges and elevated roads, which have been checked for distortion and manually replaced by their previous unrectified versions. Each orthorectified pixel is exactly one half foot square in the metro area and one foot square in the plains and mountain areas. Quality and accuracy of this orthophotography was evaluated independently. The image products conform to American Society for Photogrammetry and Remote Sensing (ASPRS) Class I Standards for 1"=200' horizontal mapping. NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospatial dataset.

  5. d

    Data from: A spatial database of bedding attitudes to accompany Geologic map...

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    • data.doi.gov
    Updated Oct 29, 2016
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    Theodore R. Brandt; David W. Moore; Kyle E. Murray (2016). A spatial database of bedding attitudes to accompany Geologic map of the greater Denver area, Front Range urban corridor, Colorado, by Donald E. Trimble and Michael N. Machette [Dataset]. https://search.dataone.org/view/5d69fc38-c027-46a6-93c0-3332061cc736
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    Dataset updated
    Oct 29, 2016
    Dataset provided by
    USGS Science Data Catalog
    Authors
    Theodore R. Brandt; David W. Moore; Kyle E. Murray
    Area covered
    Description

    This digital map shows bedding attitude symbols display over the geographic extent of surficial deposits and rock stratigraphic units (formations) as compiled by Trimble and Machette 1973-1977 and published in 1979 (U.S. Geological Survey Map I-856-H) under the Front Range Urban Corridor Geology Program. Trimble and Machette compiled their geologic map from published geologic maps and unpublished geologic mapping having varied map unit schemes. A convenient feature of the compiled map is its uniform classification of geologic units that mostly matches those of companion maps to the north (USGS I-855-G) and to the south (USGS I-857-F). Published as a color paper map, the Trimble and Machette map was intended for land-use planning in the Front Range Urban Corridor. This map recently (1997-1999), was digitized under the USGS Front Range Infrastructure Resources Project (see cross-reference). In general, the mountainous areas in the west part of the map exhibit various igneous and metamorphic bedrock units of Precambrian age, major faults, and fault brecciation zones at the east margin (5-20 km wide) of the Front Range. The eastern and central parts of the map (Colorado Piedmont) depict a mantle of unconsolidated deposits of Quaternary age and interspersed outcroppings of Cretaceous or Tertiary-Cretaceous sedimentary bedrock. The Quaternary mantle is comprised of eolian deposits (quartz sand and silt), alluvium (gravel, sand, and silt of variable composition), colluvium, and few landslides. At the mountain front, north-trending, dipping Paleozoic and Mesozoic sandstone, shale, and limestone bedrock formations form hogbacks and intervening valleys.

  6. d

    Data from: USGS Interactive Map of the Colorado Front Range Infrastructure...

    • search.dataone.org
    • datadiscoverystudio.org
    Updated Dec 1, 2016
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    U.S. Geological Survey (USGS), Biewick, L.R.H., Gunther, G.L., Roberts, S.B., Otton, J.K., Cook, T. and Fishman, N.S. (2016). USGS Interactive Map of the Colorado Front Range Infrastructure Resources [Dataset]. https://search.dataone.org/view/06a6bdd8-73d2-450d-bb9b-ab40d47c9d84
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    Dataset updated
    Dec 1, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    U.S. Geological Survey (USGS), Biewick, L.R.H., Gunther, G.L., Roberts, S.B., Otton, J.K., Cook, T. and Fishman, N.S.
    Area covered
    Description

    Infrastructure, such as roads, airports, water and energy transmission and distribution facilities, sewage treatment plants, and many other facilities, is vital to the sustainability and vitality of any populated area. Rehabilitation of existing and development of new infrastructure requires three natural resources: natural aggregate (stone, sand, and gravel), water, and energy http://rockyweb.cr.usgs.gov/frontrange/overview.htm.

    The principal goals of the U.S. Geological Survey (USGS) Front Range Infrastructure Resources Project (FRIRP) were to develop information, define tools, and demonstrate ways to: (1) implement a multidisciplinary evaluation of the distribution and quality of a region's infrastructure resources, (2) identify issues that may affect availability of resources, and (3) work with cooperators to provide decision makers with tools to evaluate alternatives to enhance decision-making. Geographic integration of data (geospatial databases) can provide an interactive tool to facilitate decision-making by stakeholders http://rockyweb.cr.usgs.gov/frontrange/overview.htm.

  7. d

    Roads of the Natchez Trace Parkway 2004

    • search.dataone.org
    Updated Oct 29, 2016
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    Amina Rangoonwala (Five Rivers Services, LLC at U.S. Geological Survey, National Wetlands Research Center); Terri Bannister (Five Rivers Services, LLC at U.S. Geological Survey, National Wetlands Research Center); Elijah W. Ramsey III, Ph.D (U.S. Geological Survey, National Wetlands Research Center) (2016). Roads of the Natchez Trace Parkway 2004 [Dataset]. https://search.dataone.org/view/14374bc1-d33a-48d3-93f1-286b4f58b5a1
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    Dataset updated
    Oct 29, 2016
    Dataset provided by
    USGS Science Data Catalog
    Authors
    Amina Rangoonwala (Five Rivers Services, LLC at U.S. Geological Survey, National Wetlands Research Center); Terri Bannister (Five Rivers Services, LLC at U.S. Geological Survey, National Wetlands Research Center); Elijah W. Ramsey III, Ph.D (U.S. Geological Survey, National Wetlands Research Center)
    Area covered
    Variables measured
    FID, Shape, Length, Road_Type
    Description

    This dataset consists of linear features depicting the main road running through the Natchez Trace Parkway and other roads visible on the color infrared photography. The Parkway is a 715-km roadway that historically connected the southern portions of the Mississippi River to the salt licks in central Tennessee. The vector data represent the roadway of the Parkway at an approximate along-track (parallel and perpendicular to the road) with a spatial accuracy of about 3 meters or less.

  8. a

    1k Variance or Less

    • redistricting-gallery-coleg.hub.arcgis.com
    Updated Aug 27, 2021
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    louis_pino (2021). 1k Variance or Less [Dataset]. https://redistricting-gallery-coleg.hub.arcgis.com/maps/535aa94dd15340cfa53d6f5ce261d200
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    Dataset updated
    Aug 27, 2021
    Dataset authored and provided by
    louis_pino
    Area covered
    Description

    Plan Information Plan name: 1k Variance or Less Description: Eastern Plains, Western Slope, Front Range Mountains, Denver Metro, and Colorado Springs districts. County boundaries are only split in the metro area counties. All deviations from target are 1,000 or less.Plan ObjectivesThe primary goal of this plan is to get every district below a variance of 1,000 people. It is similar to the "Mountains, Plains, Urban" plan I submitted, with the following differences:* Custer and Huerfano Counties are an isolated part of D3; they've probably got more common cause with Pueblo and Las Animas than with the San Luis Valley.* D4 includes the rural parts of Adams, Arapahoe, and Douglas Counties; drawing the border in Douglas felt particularly arbitrary and may split some cohesive neighborhoods.* Clear Creek County is in D2 rather than D3; residents there probably share concerns with other east-slope mountain communities in D2 and makes the commute to a district office shorter and safer in the winter.* Denver Metro districts shift, with Aurora joining with Adams and north metro rather than with Arapahoe for D6, D7 covering parts of Jefferson plus Douglas counties rather than staying west/north of Denver, and D8 becoming a north metro district rather than south metro

  9. c

    20 Richest Counties in Colorado

    • colorado-demographics.com
    Updated Jun 20, 2024
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    Kristen Carney (2024). 20 Richest Counties in Colorado [Dataset]. https://www.colorado-demographics.com/richest_counties
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    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.colorado-demographics.com/terms_and_conditionshttps://www.colorado-demographics.com/terms_and_conditions

    Area covered
    Colorado
    Description

    A dataset listing the 20 richest counties in Colorado for 2024, including information on rank, county, population, average income, and median income.

  10. C

    Rent.State.Bar.2015

    • data.colorado.gov
    • data.wu.ac.at
    application/rdfxml +5
    Updated Apr 9, 2017
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    DOLA (2017). Rent.State.Bar.2015 [Dataset]. https://data.colorado.gov/Housing/Rent-State-Bar-2015/gmnt-hhfe
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    application/rssxml, csv, application/rdfxml, json, xml, tsvAvailable download formats
    Dataset updated
    Apr 9, 2017
    Authors
    DOLA
    License

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

    Description

    Average rents and vacancies distributed by type of apartment for regions across Colorado dating back to 2006 as defined by the Colorado Department of Local Affairs Housing Division. Building size is defined by number of bedrooms, and regions are defined as: Alamosa, Aspen, Buena Vista, Canon City, Central Mountains, Colorado Springs, Durango, Eagle County, Fort Collins/Loveland, Fort Morgan/Brush, Glenwood Springs, Grand Junction, Greeley, Gunnison, Lake County, Montrose, Pueblo, Salida, Southeastern Colorado, Steamboat Springs, Sterling, Central and Metro Average. Counties include: Summit, Adams, Arapahoe, Boulder/Broomfield, Denver, Douglas, Jefferson.

  11. d

    Photographic Centers of Aerial Images Taken for Mapping the Natchez Trace...

    • dataone.org
    Updated Dec 1, 2016
    + more versions
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    Gulf Coast Aerial Mapping Co., Inc. (2016). Photographic Centers of Aerial Images Taken for Mapping the Natchez Trace Parkway 2004 [Dataset]. https://dataone.org/datasets/3945382d-a6d4-49b9-8098-ee142d49e0f2
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    Dataset updated
    Dec 1, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Gulf Coast Aerial Mapping Co., Inc.
    Area covered
    Variables measured
    FID, RUN, Shape, FRAME_, LAT_DEG, LAT_MIN, LONG_DEG, LONG_MIN, DIR_OF_FLI, LAT_DEC_DE, and 1 more
    Description

    This dataset represents the center points of 379 aerial photography frames taken of the Natchez Trace Parkway. The color infrared photography was flown in late September and early October of 2004 during leaf-on conditions as required by National Park Service (NPS) personnel to accomplish their ground-based landcover classification.

  12. C

    State.All.Q3.2015

    • data.colorado.gov
    • data.wu.ac.at
    application/rdfxml +5
    Updated Apr 9, 2017
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    DOLA (2017). State.All.Q3.2015 [Dataset]. https://data.colorado.gov/Housing/State-All-Q3-2015/2c3r-y7fu
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    csv, application/rssxml, json, application/rdfxml, tsv, xmlAvailable download formats
    Dataset updated
    Apr 9, 2017
    Authors
    DOLA
    License

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

    Description

    Average rents and vacancies distributed by type of apartment for regions across Colorado dating back to 2006 as defined by the Colorado Department of Local Affairs Housing Division. Building size is defined by number of bedrooms, and regions are defined as: Alamosa, Aspen, Buena Vista, Canon City, Central Mountains, Colorado Springs, Durango, Eagle County, Fort Collins/Loveland, Fort Morgan/Brush, Glenwood Springs, Grand Junction, Greeley, Gunnison, Lake County, Montrose, Pueblo, Salida, Southeastern Colorado, Steamboat Springs, Sterling, Central and Metro Average. Counties include: Summit, Adams, Arapahoe, Boulder/Broomfield, Denver, Douglas, Jefferson.

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    Learn how you can add new datasets to our index.

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United States Geological Survey (USGS) Central Region Energy Resources Team (2015). Denver Coal Basin boundary from 1999 National Coal Resource Assessment [Dataset]. https://search.dataone.org/view/afe15cee-c27c-46ca-b25f-470281515e37

Denver Coal Basin boundary from 1999 National Coal Resource Assessment

Explore at:
Dataset updated
Nov 4, 2015
Dataset provided by
United States Geological Surveyhttp://www.usgs.gov/
Authors
United States Geological Survey (USGS) Central Region Energy Resources Team
Area covered
Variables measured
Area, Perimeter
Description

This ArcView shapefile contains a polygon representing the extent of the Denver coal basin boundary. This theme was created specifically for the National Coal Resources Assessment in the Northern Rocky Mountains and Great Plains Region.

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