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.

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

PI: Noah Snyder, Boston College. The survey area is a 38 square kilometer polygon near the Furnace Creek Inn and Ranch in Death Valley National Park, California. This area was flown on February 27, 2005. The data were collected to investigate transient response of a desert river to forced diversion. Bare-earth extraction was not performed on this dataset due to the scarceness of vegetation in the interest area.

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

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.

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%.

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.

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.

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.

This U.S. Geological Survey data release consists of a polygon geospatial dataset representing estimated flood-inundation areas in Grapevine Canyon near Scotty's Castle, Death Valley National Park, and the data acquired and processed to support the delineation of those areas. Supporting datasets include topographic survey data collected by global navigation satellite system (GNSS) and terrestrial laser scanner (TLS) in Grapevine Canyon from July 12-14, 2016; derivatives of those data; pebble count data collected in Grapevine Canyon; and an archive of the one-dimensional hydraulic model used to generate the flood-inundation area polygons. Specifically: 1)a point dataset of four static reference locations (StaticGNSS_x) collected by single-baseline Online Positioning User Service – Static (OPUS-S) GNSS surveys; 2)a point dataset of 38 TLS survey scan locations (ScanOrigins_x) collected by real-time kinematic (RTK) GNSS surveys; 3)a zip file of 42 point cloud files (GrapevineCanyon_LAZ.zip) collected at 38 scan locations by TLS surveys; 4)a point dataset of 769 ground control points (GroundControlPts_x) collected by RTK GNSS surveys; 5)a point dataset of filtered ground observations (TLS_FilteredGroundObs_x) from the TLS surveys; 6)a polygon dataset of the areas used to filter the ground observations (TLS_Filter_p); 7)a digital terrain model (GrapevineCanyon_TIN.zip) derived from the filtered ground observations as a triangulated irregular network (TIN) in North American Vertical Datum of 1988; 8)a comma-separated values (CSV) table of the locations and results of five Wohlman-style pebble counts (Wolman, 1954), collected at five sites within the study area (GrapevineCanyon_PebbleCounts.csv); 9)a zip file containing all relevant files to document and run the Hydrological Engineering Center-River Analysis System (HEC-RAS) one dimensional hydraulic model used to generate the flood-inundation area polygons (SWmodel_Archive.zip); 10)a polygon dataset of the estimated flood-inundation areas (GrapevineCanyonInundationAreas_p).

This comma-separated values (CSV) file includes the results of five Wohlman-style pebble counts (Wolman, 1954), collected in Grapevine Canyon near Scotty's Castle, Death Valley National Park, on March 2, 2017. Pebble counts were performed to determine the size of channel bed particles and evaluate channel roughness to be input into a one-dimensional hydraulic model.

This point shapefile represents ground observations collected by terrestrial laser scanner (TLS) surveys in Grapevine Canyon near Scotty's Castle, Death Valley National Park, from July 12-14, 2016, and filtered of extraneous data from features such as vegetation, fences, power lines, and atmospheric interference using an iterative process in I-Site Studio. The resulting 122,104 points were used to produce a digital terrain model of the area (GrapevineCanyon_TIN.zip in this data release).

Several fragments of wood taken from sources in Joshua Tree National Park, Channel Islands National Park, and Death Valley National Park, California, were submitted for identification. Wood was identified so that similar material can be used to preserve the buildings.

This zip file contains a digital terrain model represented by a triangulated irregular network (TIN) derived from filtered ground observations collected by terrestrial laser scanner (TLS) in Grapevine Canyon near Scotty's Castle, Death Valley National Park, July 12-14, 2016.

This point shapefile represents four static reference locations collected by single-baseline Online Positioning User Service – Static (OPUS-S) global navigations satellite system (GNSS) surveys in Grapevine Canyon near Scotty's Castle, Death Valley National Park, from July 12-14, 2016. Surveys were completed at three Federal Highway Administration benchmarks (FHWA) and one temporary reference point, Rebar1. Data were collected using Topcon GR-3 and Leica Viva GS14 GNSS receivers on two-meter fixed height tripods. Processing of static observations was done using the National Geodetic Survey (NGS) Online Positioning User System (OPUS).

This data comprehensively contains the history and spatial information of mountain accidents (disasters, falls, slips, exhaustion, etc.) that occurred in national parks, and is used as basic data for establishing visitor safety management and rescue systems, and for strengthening accident risk prediction and response capabilities. The main items include the name of the national park where the accident occurred, the name of the accident location, latitude and longitude coordinates, date and time of occurrence, type of accident (fall, slip, drowning, isolation, etc.), extent of damage (death, serious injury, minor injury), type of activity (mountaineering, camping, photography, etc.), weather conditions, whether or not there was a rescue and the time required, first aid details, age, gender, and other personal information. The data is used to establish various safety management policies, such as identifying dangerous trail sections, planning rescue equipment deployment, establishing a risk forecast system, developing pre-education materials for visitors, and analyzing seasonal accident trends, and is provided in CSV format. It can also be used as spatial analysis and visualization data through linkage with the National Park Integrated Disaster Safety System and GIS-based platforms.

This point shapefile represents 38 terrestrial laser scanner (TLS) survey scan locations collected by single-base real-time kinematic (RTK) global navigation satellite system (GNSS) surveys in Grapevine Canyon near Scotty's Castle, Death Valley National Park, from July 12-14, 2016. Data were collected by two Topcon GR-3 GNSS receivers at one-second intervals for three minutes for each location.

PI: James Dolan, University of Southern California. The project area consists of two rectangular polygons covering an area of 38 square kilometers. Data were collected along the Furnace Creek and Fish Lake Valley Fault Zones in Death Valley National Park. The data were collected February 28, 2005. Bare-earth extraction was not performed on this dataset due to the scarceness of vegetation in the interest area.

This data consists of observations of individual trees in western US national parks and forests. Information on individual trees include species identity, measurements of tree size, current status (live or dead), local competition, and growth metrics based on tree rings. The data also includes estimates of plot-level characteristics.

This data is based on geographic information on the status of mountain accidents that occurred in Seoraksan National Park and Jirisan National Park in 2019. It consists of the date and time of the accident, the longitude and latitude coordinates of the accident location, the type of accident (e.g., fall, slip, exhaustion, etc.), the condition of the accident victim (injury or death), and the cause of the accident. Information on each accident case is recorded as an individual record. The data can be used as basic data for establishing safety management policies in national parks, such as rescue and emergency activities, accident prevention campaigns, and safety facility reinforcement, and is also useful for visualizing accident-prone areas based on GIS (geographic information system), analyzing spatiotemporal accident types, and developing content to guide hikers to dangerous areas. In addition, it can be used as basic data for establishing spatial plans, such as understanding the change in accidents by year, adjusting trail grades, and arranging shelters.

Data associated with the paper

Meteorological data from Badwater, Death Valley National Park 1998 to 2019

by Christopher P McKay