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August 2023 Windthrow Data
In August 2023, a large microburst storm event toppled a large number of saguaros in Saguaro National Park's Tucson Mountain District (TMD). Hundreds of saguaros were killed or damaged in the initial event. Two surveys, one in 2023 and a follow-up in 2025 mapped and recorded data from greater than 2000 saguaros impacted by the windthrow of August 2023.This data set contains relevant data from the Saguaro National Park Blow Down Study.
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August 2023 Windthrow Data
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In August 2023, a large microburst storm event toppled a large number of saguaros in Saguaro National Park's Tucson Mountain District (TMD). Hundreds of saguaros were killed or damaged in the initial event. Two surveys, one in 2023 and a follow-up in 2025 mapped and recorded data from greater than 2000 saguaros impacted by the windthrow of August 2023.This data set contains relevant data from the Saguaro National Park Blow Down Study.
Landscape Data Commons
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,The Landscape Data Commons is an inter-agency monitoring data repository and portal, led by the USDA-ARS at the Jornada Experimental Range, that connects standardized monitoring data to analysis tools to support land management and research. The Landscape Data Commons aggregates and harmonizes core methods data collected across agencies and monitoring programs (e.g., Bureau of Land Management Assessment, Inventory and Monitoring Program, the Natural Resources Conservation Service National Resources Inventory Grazing land On-Site program, the National Wind Erosion Research Network, smaller research and monitoring efforts). With these aggregated data, the Landscape Data Commons supports natural-resource management, modeling, and research.,
Meteorological data from December 2022 to April 2023, Grand Falls Dune Field, Arizona
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Our goal for this work is to place better constraints on aeolian atmospheric-surface interactions through long-term monitoring of an active, bi-modal dune field located near Grand Falls, Arizona. This dune field has been monitored since 2013 by the USGS, and data from each collection year are released as USGS Data Release products. Data described here is the meteorological component of the Imagery, Photogrammetry and Meteorological Data from December 2022 to April 2023, Grand Falls Dune Field, Arizona USGS Data Release. Our instruments are set up near an active ripple field in the Grand Falls Dune Field. The instrument array includes a meteorological weather station that records temperature, barometric pressure, relative humidity, wind direction, wind speed, solar radiation, and precipitation every 15 minutes, and seven BlazeVideo cameras situated surrounding the ripple field that take images every 10 minutes to capture ripple migration. In addition to the deployed instruments, each time we visit the field site we also image the ripple field using a Nikon D750 (35 mm) camera. This data is processed using the software Agisoft Metashape Professional to create digital elevation models of the ripple field.
Meteorological data from April 2023 to July 2023, Grand Falls Dune Field, Arizona
공공데이터포털
Our goal for this work is to place better constraints on aeolian atmospheric-surface interactions through long-term monitoring of an active, bi-modal dune field located near Grand Falls, Arizona. This dune field has been monitored since 2013 by the USGS, and data from each collection year are released as USGS Data Release products. Data described here is the meteorological component of the Imagery, sediment collection, photogrammetry, and meteorological data from April 2023 to July 2023, Grand Falls Dune Field, Arizona Data Release. Our instruments are set up near an active ripple field in the Grand Falls Dune Field. The instrument array includes a meteorological weather station that records temperature, barometric pressure, relative humidity, wind direction, wind speed, solar radiation, and precipitation every 15 minutes , three BlazeVideo cameras situated surrounding the ripple field that take images every 10 minutes to capture ripple migration, and a suite of passive sediment catchers. In addition to the deployed instruments, each time we visit the field site we also image the ripple field using a Nikon D750 (35 mm) camera. This data is processed using the software Agisoft Metashape Professional to create digital elevation models of the ripple field.
Meteorological data from April 2023 to July 2023, Grand Falls Dune Field, Arizona
공공데이터포털
Our goal for this work is to place better constraints on aeolian atmospheric-surface interactions through long-term monitoring of an active, bi-modal dune field located near Grand Falls, Arizona. This dune field has been monitored since 2013 by the USGS, and data from each collection year are released as USGS Data Release products. Data described here is the meteorological component of the Imagery, sediment collection, photogrammetry, and meteorological data from April 2023 to July 2023, Grand Falls Dune Field, Arizona Data Release. Our instruments are set up near an active ripple field in the Grand Falls Dune Field. The instrument array includes a meteorological weather station that records temperature, barometric pressure, relative humidity, wind direction, wind speed, solar radiation, and precipitation every 15 minutes , three BlazeVideo cameras situated surrounding the ripple field that take images every 10 minutes to capture ripple migration, and a suite of passive sediment catchers. In addition to the deployed instruments, each time we visit the field site we also image the ripple field using a Nikon D750 (35 mm) camera. This data is processed using the software Agisoft Metashape Professional to create digital elevation models of the ripple field.
Aeolian mass flux, rangeland monitoring site, and unpaved road reach data
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These data were compiled for monitoring and analyzing the amount of windblown (aeolian) sediment at 100 cm height near Moab, UT. Big Springs Number Eight (BSNE) field aeolian passive sediment traps are summarized by location and time period in shapefiles. Shapefiles also include attributes used to analyze patterns in the aeolian transport. Three different BSNE shapefiles represent 1) a network of BSNEs in a variety of rangelands, 2) BSNEs along downwind edges of unpaved roads where they run perpendicular to the dominant wind direction, and 3) long term BSNE sites used to test imporance of climate trends on aeolian transport. Also included in this data archive are raster files that were created from the BSNE data using statistical modeling approaches. These rasters represent predicted windblown sediment horizontal mass flux over the spring 2013 to spring 2015 time period.
Aeolian mass flux, rangeland monitoring site, and unpaved road reach data
공공데이터포털
These data were compiled for monitoring and analyzing the amount of windblown (aeolian) sediment at 100 cm height near Moab, UT. Big Springs Number Eight (BSNE) field aeolian passive sediment traps are summarized by location and time period in shapefiles. Shapefiles also include attributes used to analyze patterns in the aeolian transport. Three different BSNE shapefiles represent 1) a network of BSNEs in a variety of rangelands, 2) BSNEs along downwind edges of unpaved roads where they run perpendicular to the dominant wind direction, and 3) long term BSNE sites used to test imporance of climate trends on aeolian transport. Also included in this data archive are raster files that were created from the BSNE data using statistical modeling approaches. These rasters represent predicted windblown sediment horizontal mass flux over the spring 2013 to spring 2015 time period.
Data from simulations of ecological and hydrologic response to climate change scenarios at Wind Cave National Park, South Dakota, 1901-2050
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This data release contains data discussed in its larger work citation. "ClimateComparisonData.csv" contains summary metrics of six climate projections used as climate input for quantitative simulations of hydrologic and ecological responses to climate change at Wind Cave National Park (WCNP) and the same summary metrics for 38 other climate projections available at the time that these simulations were done. "HydroData.csv" contains mean annual streamflow of a stream in WCNP and mean annual hydraulic head of a subterranean lake in Wind Cave as simulated by the rainfall-response aquifer and watershed flow (RRAWFLOW) model for two climate projections in the climate dataset. The remaining files contain aboveground live forest carbon, frequency of high-fire-danger days, and annual grass production as simulated by the dynamic vegetation model MC1 parameterized for WCNP for combinations of four climate projections in the climate dataset with a variety of management alternatives.