Long-term annual aeolian dust deposition data from seven locations in southeastern Utah
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These data are annual aeolian dust deposition calculations from vertical deposition at seven locations near the vicinity of Moab, Utah covering the period from 1999 to 2020. Data were collected by the U.S. Geological Survey Geosciences and Environmental Change Science Center (Denver, Colorado) and Southwest Biological Science Center (Moab, Utah) to "monitor sediment characteristics at sites selected to illuminate the relations between dust sources, present climate, and land use patterns" (Reheis 2003). The sites selected represent various land uses and land ownership including private land, multiple-use public lands, and restricted use National Parks. From 1999-2013 samples were sent to the Geosciences and Environmental Change Science Center in Denver to be processed. From 2014-2020 samples were processed at the Southwest Biological Science Center Canyonlands Research Station in Moab, Utah. The purpose of this data release is to make available annual aeolian dust deposition data collected 2009-2020 that have not been published. Data can be used to understand local and regional patterns of dust inputs from both dry and wet (rain and snow containing dust particles) deposition.
Dust mass and horizontal aeolian sediment flux data from a sampler network on the Colorado Plateau, USA
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These data were compiled to assess time series data of aeolian sediment collections across varying climates, vegetation cover, and land uses on the Colorado Plateau. The objectives of our study were to interpret aeolian erosion and deposition processes and measure horizontal sediment flux over the span of two decades amid rapidly changing climate conditions and multiple land use changes within the study area. These data represent the seasonally accumulated horizontal sediment flux from different landscapes within the Colorado Plateau measured using Big Springs Number Eight (BSNE) dust samplers. These data were collected in Grand, San Juan, and Wayne County, Utah and Mesa Country, Colorado with sample collections ranging from 1998 to 2023. These data were collected by the United States Geological Survey, Southwest Biological Science Center, Canyonlands Research Station staff based in Moab, Utah during field sampling trips that occurred three times per year to collect sediment samples and process collected samples in the laboratory. These data can be used to understand long-term patterns of aeolian sediment flux within a range of Colorado Plateau ecosystems and investigate how land management decisions at certain sites has impacted aeolian sediment fluxes.
Dust mass and horizontal aeolian sediment flux data from a sampler network on the Colorado Plateau, USA
공공데이터포털
These data were compiled to assess time series data of aeolian sediment collections across varying climates, vegetation cover, and land uses on the Colorado Plateau. The objectives of our study were to interpret aeolian erosion and deposition processes and measure horizontal sediment flux over the span of two decades amid rapidly changing climate conditions and multiple land use changes within the study area. These data represent the seasonally accumulated horizontal sediment flux from different landscapes within the Colorado Plateau measured using Big Springs Number Eight (BSNE) dust samplers. These data were collected in Grand, San Juan, and Wayne County, Utah and Mesa Country, Colorado with sample collections ranging from 1998 to 2023. These data were collected by the United States Geological Survey, Southwest Biological Science Center, Canyonlands Research Station staff based in Moab, Utah during field sampling trips that occurred three times per year to collect sediment samples and process collected samples in the laboratory. These data can be used to understand long-term patterns of aeolian sediment flux within a range of Colorado Plateau ecosystems and investigate how land management decisions at certain sites has impacted aeolian sediment fluxes.
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.
Dust and sediment data from Great Salt Lake and northern Utah, 2022
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These are physical and geochemical (elemental, strontium isotope) data from dust and sediments collected from and around Great Salt Lake, Utah. Data were collected by the U.S. Geological Survey Utah Water Science Center (West Valley City, Utah) to better understand the degree to which populations in northern Utah are affected by Great Salt Lake dust, dust from other sources, and metals pollution. The samples were processed at the Utah Water Science Center and geochemical analysis was performed at the University of Utah's ICP-MS Metals and Strontium Isotope Facility (Salt Lake City, Utah). These data can be used to evaluate the spatial variability of dust and metals deposition to urban areas and natural ecosystems near Great Salt Lake.
Dust and sediment data from Great Salt Lake and northern Utah, 2022
공공데이터포털
These are physical and geochemical (elemental, strontium isotope) data from dust and sediments collected from and around Great Salt Lake, Utah. Data were collected by the U.S. Geological Survey Utah Water Science Center (West Valley City, Utah) to better understand the degree to which populations in northern Utah are affected by Great Salt Lake dust, dust from other sources, and metals pollution. The samples were processed at the Utah Water Science Center and geochemical analysis was performed at the University of Utah's ICP-MS Metals and Strontium Isotope Facility (Salt Lake City, Utah). These data can be used to evaluate the spatial variability of dust and metals deposition to urban areas and natural ecosystems near Great Salt Lake.
Sediment collection from April 2023 to July 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 sediment collection component of the Imagery, sediment collection, photogrammetry, and meteorological data from April 2023 to July 2023, Grand Falls Dune Field, Arizona. 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. Our passive sediment catchers comprise three sets of five Big Spring Number Eight (BSNE) and two sets of six Modified Wilson and Cook (MWAC) passive sediment samplers. 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.
Sediment collection 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 sediment collection component of the Imagery, sediment collection, photogrammetry, and meteorological data from April 2023 to July 2023, Grand Falls Dune Field, Arizona. 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. Our passive sediment catchers comprise three sets of five Big Spring Number Eight (BSNE) and two sets of six Modified Wilson and Cook (MWAC) passive sediment samplers. 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.
Dust Count Observations March 1933 - August 1933 in College-Fairbanks, AK, Version 1
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These data are daily dust count observations taken in College-Fairbanks, Alaska from 23 March 1933 to 29 August 1933. The data are part of a larger collection titled "Second International Polar Year Records, 1931-1936, Department of Terrestrial Magnetism, Carnegie Institute of Washington." Within this larger collection, the data are identified as "Series 1: College-Fairbanks IPY Station Records and Data, 1932-1934: Subseries C: Auroral and Meteorological Records and Data, 1932-1933: Dust Count Observations, March 1933 - August 1933."The data are provided in a PDF copy of the handwritten entries (Dust_Count_Observations_March1933_to_August1933.pdf). Two supporting files are also included in this data set. The first is a copy of the handwritten data transcribed to a Microsoft Excel spreadsheet (Dust_Count_Observations_March1933_to_August1933.xls). The second is a PDF document that explains the larger collection (DTM_Collection_Description.pdf).The entries were recorded using an Aitken Dust Counter. Each entry includes up to 10 counts per day with measurements of wind, clouds, and visibility. The handwritten copy has the most complete data, as some of the handwritten notes were not transcribed into the computer spreadsheet. For example, handwritten notes concerning problems with the counter itself were not transcribed into the computer spreadsheet.The data are available via FTP. NOAA@NSIDC believes these data to be of value but is unable to provide documentation. If you have information about this data set that others would find useful, please contact NSIDC User Services.