69 datasets found
  1. Death Valley National Park Small-Scale Base GIS Data

    • catalog.data.gov
    • data.amerigeoss.org
    Updated Jun 5, 2024
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    National Park Service (2024). Death Valley National Park Small-Scale Base GIS Data [Dataset]. https://catalog.data.gov/dataset/death-valley-national-park-small-scale-base-gis-data
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    Dataset updated
    Jun 5, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Description

    This data set contains small-scale base GIS data layers compiled by the National Park Service Servicewide Inventory and Monitoring Program and Water Resources Division for use in a Baseline Water Quality Data Inventory and Analysis Report that was prepared for the park. The report presents the results of surface water quality data retrievals for the park from six of the United States Environmental Protection Agency's (EPA) national databases: (1) Storage and Retrieval (STORET) water quality database management system; (2) River Reach File (RF3) Hydrography; (3) Industrial Facilities Discharges; (4) Drinking Water Supplies; (5) Water Gages; and (6) Water Impoundments. The small-scale GIS data layers were used to prepare the maps included in the report that depict the locations of water quality monitoring stations, industrial discharges, drinking intakes, water gages, and water impoundments. The data layers included in the maps (and this dataset) vary depending on availability, but generally include roads, hydrography, political boundaries, USGS 7.5' minute quadrangle outlines, hydrologic units, trails, and others as appropriate. The scales of each layer vary depending on data source but are generally 1:100,000.

  2. t

    Annual Visitor Counts for Death Valley National Park

    • traveltrends.com
    Updated Apr 29, 2022
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    TravelTrends.com (2022). Annual Visitor Counts for Death Valley National Park [Dataset]. https://traveltrends.com/annual-visitors-to-death-valley-national-park
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    Dataset updated
    Apr 29, 2022
    Dataset provided by
    TravelTrends.com
    License

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

    Time period covered
    Jan 1, 1992 - Dec 18, 2021
    Description

    Travel Trends collects and displays stats on popular tourists destinations and National Parks including Death Valley National Park.

  3. Fatalities in Yosemite National Park in the U.S. 2014-2021

    • statista.com
    Updated Jan 15, 2022
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    Statista (2022). Fatalities in Yosemite National Park in the U.S. 2014-2021 [Dataset]. https://www.statista.com/statistics/1018828/fatalities-yosemite-national-park-us/
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    Dataset updated
    Jan 15, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The statistic shows the number of fatalities in Yosemite National Park in the United States from 2014 to 2021. In 2021, there were 9 fatalities in Yosemite.

  4. U

    Dead Tree Detection Validation Data from Sequoia and Kings Canyon national...

    • data.usgs.gov
    • catalog.data.gov
    Updated Jul 29, 2024
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    Adrian Das (2024). Dead Tree Detection Validation Data from Sequoia and Kings Canyon national parks [Dataset]. http://doi.org/10.5066/P9GYXCPG
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    Dataset updated
    Jul 29, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Adrian Das
    License

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

    Time period covered
    May 1, 2016 - Oct 30, 2020
    Description

    Most of these data were collected in order to create a database of tree locations for use in calibrating remote sensing tools and products, particularly dead tree detection tools and canopy species maps. Data include tree locations, species identification, and status (live, dead, and, if dead, sometimes includes information on foliage and twig retention). They are a collection of different sampling efforts performed over several years, starting in a period of severe drought mortality. One csv table is included that shows data and validation results for an additional dataset that was used to test the NAIP derived dead tree detection model that is associated with this data release. Locations are not included for that dataset.

  5. d

    Tree mortality in western US national parks and forests (2019)

    • catalog.data.gov
    Updated Jun 15, 2024
    + more versions
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    Climate Adaptation Science Centers (2024). Tree mortality in western US national parks and forests (2019) [Dataset]. https://catalog.data.gov/dataset/tree-mortality-in-western-us-national-parks-and-forests-2019
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    Dataset updated
    Jun 15, 2024
    Dataset provided by
    Climate Adaptation Science Centers
    Area covered
    Western United States, United States
    Description

    This data consists of observations of individual trees that were or were not subjected to prescribed fire in western US national parks and forests. Information on individual trees include species identity, measurements of tree size, and current status (live or dead). The data also includes estimates of plot-level characteristics.

  6. d

    Fire caused tree mortality in western US national parks (2018) (ver. 2.0,...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Fire caused tree mortality in western US national parks (2018) (ver. 2.0, February 2020) [Dataset]. https://catalog.data.gov/dataset/fire-caused-tree-mortality-in-western-us-national-parks-2018-ver-2-0-february-2020
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    U.S. Geological Survey
    Area covered
    Western United States, United States
    Description

    This data consists of observations of individual trees that were subjected to prescribed fire in western US national parks. Information on individual trees include measurements of tree live/dead status, growth, size, competition, and fire-caused damage. The data also includes estimates of plot-level vapor pressure deficit anomaly before fire. First posted - August 28, 2018 (available from author). Revised - February 10, 2020.

  7. m

    Mosquito-Borne Diseases - death valley national park, united states

    • mosquito-forecast.org
    Updated Jul 21, 2024
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    (2024). Mosquito-Borne Diseases - death valley national park, united states [Dataset]. https://www.mosquito-forecast.org/es/forecast/united-states/death-valley-national-park
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    Dataset updated
    Jul 21, 2024
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Death Valley
    Variables measured
    Disease, Risk Level
    Description

    Prevalence of mosquito-borne diseases reported in death valley national park, united states.

  8. Geospatial data for the Vegetation Mapping Inventory Project of Death Valley...

    • catalog.data.gov
    Updated Dec 25, 2024
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    National Park Service (2024). Geospatial data for the Vegetation Mapping Inventory Project of Death Valley National Park [Dataset]. https://catalog.data.gov/dataset/geospatial-data-for-the-vegetation-mapping-inventory-project-of-death-valley-national-park
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    Dataset updated
    Dec 25, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Description

    The 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. Cogan Technology, Inc. (CTI) created the digital vegetation map layer for the Death Valley National Park project area that covered 3,430,818 acres (1,389,486 ha). The resulting spatial database and vegetation map layer were created using a combination of 2020 (California) and 2019 (Nevada) National Agriculture Imagery Program (NAIP) basemap data, ground-based verification efforts, and a two-step, or hybrid mapping approach that used both manual and automated techniques. By comparing the vegetation signatures on the imagery to the field data, 90 map units (74 vegetated and 16 land-use/land-cover) were developed and used to delineate the plant communities. The interpreted vegetation polygons were then digitized into a Geographic Information System (GIS) layer that was field-tested, reviewed, and revised. The final DEVA vegetation map layer was assessed for overall thematic accuracy at 82% with a Kappa value of 89%.

  9. D

    Death Valley National Park, CA: Badwater Basin

    • portal.opentopography.org
    • datadiscoverystudio.org
    • +5more
    point cloud data
    Updated Mar 11, 2013
    + more versions
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    OpenTopography (2013). Death Valley National Park, CA: Badwater Basin [Dataset]. http://doi.org/10.5069/G98W3B87
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    point cloud dataAvailable download formats
    Dataset updated
    Mar 11, 2013
    Dataset provided by
    OpenTopography
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    May 29, 2003 - Jun 3, 2003
    Area covered
    Variables measured
    Area, Unit, LidarReturns, PointDensity
    Dataset funded by
    National Science Foundation
    Description

    NCALM Project. PI: Thad Wasklewicz, East Carolina University. The survey area consisted of two polygons totaling 128 square km south of Badwater in Death Valley National Park. The survey took place over three flights from 5/29/2003 - 6/03/2003. Point cloud data are unclassified.


    Publications associated with this dataset can be found at NCALM's Data Tracking Center

  10. m

    Monthly Mosquito Activity Forecast - death valley national park, united...

    • mosquito-forecast.org
    Updated Jul 21, 2024
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    (2024). Monthly Mosquito Activity Forecast - death valley national park, united states [Dataset]. https://www.mosquito-forecast.org/es/forecast/united-states/death-valley-national-park
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    Dataset updated
    Jul 21, 2024
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Death Valley
    Variables measured
    Month, Risk Level
    Description

    Monthly forecast of mosquito activity risk levels in death valley national park, united states.

  11. n

    Death Valley National Park

    • wikipedia.tr-tr.nina.az
    Updated Jul 9, 2024
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    (2024). Death Valley National Park [Dataset]. https://www.wikipedia.tr-tr.nina.az/Death_Valley_National_Park.html
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    Dataset updated
    Jul 9, 2024
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Death Valley Ulusal Parkı ABD nin Kaliforniya ve Nevada eyaletlerinde bulunan ulusal park Death Valley Ulusal ParkıDeath

  12. G

    Wildlife Mortality - Banff

    • open.canada.ca
    • datasets.ai
    • +2more
    csv
    Updated Dec 9, 2024
    + more versions
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    Parks Canada (2024). Wildlife Mortality - Banff [Dataset]. https://open.canada.ca/data/en/dataset/6aa18934-5fec-4f12-8dd7-8356555d0576
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    csvAvailable download formats
    Dataset updated
    Dec 9, 2024
    Dataset provided by
    Parks Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Jan 11, 2005 - Dec 31, 2017
    Area covered
    Banff
    Description

    Rail- and vehicle-caused wildlife mortality and wildlife management destruction data for Banff National Park between the years 2005 and 2017. Each species mortality is recorded by date, location, count, age, gender, and cause. For more recent records please refer to “Human-wildlife coexistence incidents in selected national parks from 2010 to 2021 - Open Government Portal (canada.ca)”: https://open.canada.ca/data/en/dataset/cc5ea139-c628-46dc-ac55-a5b3351b7fdf

  13. U

    Tree mortality in Sequoia National Park from 2004 to 2007 and during severe...

    • data.usgs.gov
    • datasets.ai
    • +1more
    Updated Jul 30, 2024
    + more versions
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    Adrian Das; Nathan Stephenson; Nicholas Ampersee (2024). Tree mortality in Sequoia National Park from 2004 to 2007 and during severe drought in 2014 to 2017 [Dataset]. http://doi.org/10.5066/P99RNGXH
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    Dataset updated
    Jul 30, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Adrian Das; Nathan Stephenson; Nicholas Ampersee
    License

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

    Time period covered
    2004 - 2017
    Description

    These data describe tree mortality and the factors associated with tree mortality for a variety of plots in Sequoia National Park. Most of the data were collected between 2014 and 2017 (during an extremely severe drought), along with some comparison data from 2004 to 2007.

  14. d

    Sequoia and Yosemite national parks mortality and fire data (1990-2019) for...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Sequoia and Yosemite national parks mortality and fire data (1990-2019) for competition-fire-drought interaction analysis [Dataset]. https://catalog.data.gov/dataset/sequoia-and-yosemite-national-parks-mortality-and-fire-data-1990-2019-for-competition-fire
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    U.S. Geological Survey
    Description

    This dataset records mortality-- including involvement of bark beetles-- and burn severity information for trees in long term forest dynamics plots in Sequoia National Park and Yosemite National Park that experienced fire.

  15. G

    Wildlife Mortality - Glacier

    • open.canada.ca
    • ouvert.canada.ca
    csv
    Updated Dec 9, 2024
    + more versions
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    Parks Canada (2024). Wildlife Mortality - Glacier [Dataset]. https://open.canada.ca/data/en/dataset/522ee7d2-4cf3-4c84-a55b-b03491ad62b0
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    csvAvailable download formats
    Dataset updated
    Dec 9, 2024
    Dataset provided by
    Parks Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Jan 1, 1955 - Jan 1, 2016
    Description

    Glacier and Mount Revelstoke National Parks are bisected by a major national commercial highway (Hwy #1). Vehicle collisions with wildlife are a major stressor and have serious social, economic, and ecological impacts. Animals crossing highways are at risk of mortality and people traveling in vehicles risk personal injury. Mount Revelstoke and Glacier national parks record the location, species and number of mortalities that occur on driveable roads to analyze highway related mortality and identify key areas for mitigation measures.

  16. n

    Data from: Saguaro (Carnegiea gigantea) mortality and population...

    • data.niaid.nih.gov
    • plos.figshare.com
    • +1more
    zip
    Updated Jul 29, 2017
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    Thomas V. Orum; Nancy Ferguson; Jeanne D. Mihail (2017). Saguaro (Carnegiea gigantea) mortality and population regeneration in the cactus forest of Saguaro National Park: seventy-five years and counting [Dataset]. http://doi.org/10.5061/dryad.t8vg3
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    zipAvailable download formats
    Dataset updated
    Jul 29, 2017
    Dataset provided by
    University of Missouri
    Sweetwater Center, Tucson, Arizona, United States of America
    Authors
    Thomas V. Orum; Nancy Ferguson; Jeanne D. Mihail
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Area covered
    Arizona, Saguaro National Park, Sonoran Desert, Tucson
    Description

    Annual census data spanning seventy-five years document mortality and regeneration in a population of saguaro cactus (Carnegiea gigantea) in the Cactus Forest of the Rincon Mountain District of Saguaro National Park near Tucson, AZ. On 6 four-hectare plots, each saguaro was censused and a methodical search for new saguaros was conducted annually each year from 1942 through 2016, with the exception of 1955. Regeneration has been episodic with 828 plants established from 1959 through 1993 compared with 34 plants established between 1942 and 1958 and only three plants established after 1993. The years preceding 1959 and following 1993, include some of the driest decades in centuries in southern Arizona. While woodcutting and cattle grazing are believed to be among the causes of decades of failed regeneration prior to 1958, neither of these factors contributed to the failed regeneration following 1993. The height structure of the population from 1942 to 2016 shifted dramatically from a population dominated by large saguaros (> 5.4 m tall) in the first three decades of the study to a population dominated by small saguaros (< 1.8 m tall) in the most recent two decades. Mortality is shown to be strongly age dependent. In the year following the 2011 catastrophic freeze, 21 of 59 plants older than 80 years died compared with zero deaths in 270 plants between the ages of 29 and 80 years. Saguaros under 40 years old, growing under small shrubs or in the open, have a lower probability of survival than better protected saguaros. Long-term population monitoring is essential to understanding the complex impacts of human and environmental factors on the population dynamics of long-lived species.

  17. Gaging Station Data and Reports - Death Valley National Park, Devils Hole...

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Jun 5, 2024
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    National Park Service (2024). Gaging Station Data and Reports - Death Valley National Park, Devils Hole #362532116172701, 1990-2016 [Dataset]. https://catalog.data.gov/dataset/gaging-station-data-and-reports-death-valley-national-park-devils-hole-36253211617270-1990
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    Dataset updated
    Jun 5, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Description

    Devils Hole is a collapsed depression in limestone hills adjacent to the Ash Meadows National Wildlife Refuge that contains a warm-water pool about 15 meters below land surface. The pool is home to a unique species of desert pupfish Cyprinodon Diabolis that is listed as endangered. The population feeds and reproduces on a slightly submerged rock ledge. In 1952, a 16.2 hectare tract of land containing Devils Hole was incorporated into the Death Valley National Monument as a detached management area. The area is currently a part of Death Valley National Park. In the late 1960's and early 1970's irrigation pumping in Ash Meadows lowered the Devils Hole pool level and the pupfish were threatened with extinction. In 1973 the U.S. District Court granted a preliminary injunction from pumping that would lower the pool level more than 0.91 meters below the datum. The injunction was made permanent by the U.S. District Court and upon appeal the Supreme Court affirmed the lower court decision. In 1978 the U.S. District Court issued a permanent injunction to limit pumping to maintain a daily mean water level of 0.82 meters below the datum based on scientific studies. Water levels recovered in response to reduction and ultimately to cessation of pumping in Ash Meadows. By 1988 the pool level had recovered to about 0.3 meters below the pre-pumping level when it began to decline again. Concerns were raised that in the intermediate to long-term future the pool level would fall below the court mandated minimum level. Principle potential stresses causing long-term stage changes are considered to be regional ground-water pumping and changes in recharge. Water levels are measured in the pool on a continuous basis to monitor trends in water levels and to protect the endangered pupfish.

  18. U

    Field data on tree mortality and tree regeneration collected in Tolhuaca...

    • data.usgs.gov
    • catalog.data.gov
    Updated Jan 7, 2025
    + more versions
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    Timothy McHale (2025). Field data on tree mortality and tree regeneration collected in Tolhuaca National Park (Chile) [Dataset]. http://doi.org/10.5066/P9YMIVFU
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    Dataset updated
    Jan 7, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Timothy McHale
    License

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

    Time period covered
    Mar 15, 2012
    Area covered
    Chile
    Description

    This data was used in the analysis for the article “Burn Severity Controls on Post-fire Araucaria-Nothofagus Regeneration in the Andean Cordillera” by T. Assal, M. Gonzalez and J. Sibold. The aim of the study was to investigate post-fire regeneration patterns of forests on the west slope of the Andes; to evaluate the relationship between remotely sensed burn severity and forest mortality; and to assess controls of burn severity on forest response at local spatio-temporal scales. This dataset reflects plot level data that was collected in the field and during the subsequent analysis.

  19. c

    Assessment of Giant Sequoia Mortality and Regeneration within Burned Groves...

    • s.cnmilf.com
    • data.usgs.gov
    • +2more
    Updated Oct 3, 2024
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    U.S. Geological Survey (2024). Assessment of Giant Sequoia Mortality and Regeneration within Burned Groves in Sequoia and Kings Canyon National Parks (ver. 3.0, September 2024) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/assessment-of-giant-sequoia-mortality-and-regeneration-within-burned-groves-in-sequoia-and
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    Dataset updated
    Oct 3, 2024
    Dataset provided by
    U.S. Geological Survey
    Description

    Provided are data containing condition assessments on individual giant sequoia (Sequoiadendron giganteum; SEGI) stems and post-fire regeneration counts within Board Camp, Suwanee, New Oriole Lake, Homer’s Nose, and a subset of Redwood Mountain and Dillonwood groves of Sequoia and Kings Canyon national parks, respectively. Stem data contain condition-related attributes (e.g., spatial _location, diameter breast height, status - live or dead, percent canopy that is live, scorched or torched). Regeneration plots are located using a spatially-balanced sampling design (Generalized Random Tessellation Stratified - 'GRTS'). Each regeneration plot is a fixed radius circle (11.35 meters or 17.84 meters) and contain count data of giant sequoia seedlings.

  20. d

    Wildlife Mortality Data - Kootenay

    • datasets.ai
    • open.canada.ca
    • +1more
    8
    Updated Sep 11, 2024
    + more versions
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    Parks Canada | Parcs Canada (2024). Wildlife Mortality Data - Kootenay [Dataset]. https://datasets.ai/datasets/b0d13c82-7eee-4358-a86b-b73c73f519f2
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    8Available download formats
    Dataset updated
    Sep 11, 2024
    Dataset authored and provided by
    Parks Canada | Parcs Canada
    Description

    Vehicle-caused wildlife mortality and wildlife management destruction data for Kootenay National Park between the years 2005 and 2017. Each species mortality is recorded by date, location, count, age, gender, and cause.

    For more recent records please refer to “Human-wildlife coexistence incidents in selected national parks from 2010 to 2021 - Open Government Portal (canada.ca)”: https://open.canada.ca/data/en/dataset/cc5ea139-c628-46dc-ac55-a5b3351b7fdf

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National Park Service (2024). Death Valley National Park Small-Scale Base GIS Data [Dataset]. https://catalog.data.gov/dataset/death-valley-national-park-small-scale-base-gis-data
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Death Valley National Park Small-Scale Base GIS Data

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Dataset updated
Jun 5, 2024
Dataset provided by
National Park Servicehttp://www.nps.gov/
Description

This data set contains small-scale base GIS data layers compiled by the National Park Service Servicewide Inventory and Monitoring Program and Water Resources Division for use in a Baseline Water Quality Data Inventory and Analysis Report that was prepared for the park. The report presents the results of surface water quality data retrievals for the park from six of the United States Environmental Protection Agency's (EPA) national databases: (1) Storage and Retrieval (STORET) water quality database management system; (2) River Reach File (RF3) Hydrography; (3) Industrial Facilities Discharges; (4) Drinking Water Supplies; (5) Water Gages; and (6) Water Impoundments. The small-scale GIS data layers were used to prepare the maps included in the report that depict the locations of water quality monitoring stations, industrial discharges, drinking intakes, water gages, and water impoundments. The data layers included in the maps (and this dataset) vary depending on availability, but generally include roads, hydrography, political boundaries, USGS 7.5' minute quadrangle outlines, hydrologic units, trails, and others as appropriate. The scales of each layer vary depending on data source but are generally 1:100,000.

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