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.

Data used for manuscript available at https://www.sciencedirect.com/science/article/pii/S1352231023005575. Includes a 'README' file briefly explaining how to combine this data with BenMAP-CE to reproduce the results. Citation information for this dataset can be found in Data.gov's References section.

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.

This dataset provides the final report from the Adaptation and Response in Drylands (ARID) scoping study. ARID is one of the two scoping studies funded by NASA in 2023 to identify the scientific questions and develop the initial study design and implementation concept for a new NASA Terrestrial Ecology field campaign. This report emphasizes a prioritized research agenda and an initial implementation plan, focusing on the western U.S. to deepen our understanding of national dryland processes and resources. ARID is also leveraging an extensive network of international sites and collaborators in Africa, Australia, Mexico, and South America. This global approach facilitates the evaluation, monitoring, and forecasting of drylands worldwide, ensuring a coordinated effort to address and inform solutions for the challenges facing these critical ecosystems. ARID will use cutting-edge approaches to address four Science Themes: 1) Climate Variability and Drought, 2) Ecosystem Structure, Function, and Biodiversity, 3) Carbon Cycle Interannual Variability and Long-Term Trends, and 4) Social-Ecological Systems. The scoping study performed extensive outreach, conducting over 160 meetings and events with hundreds of scientists and decision-makers across six continents, which translated to the ARID science plan being co-created with a wide range of contributors and perspectives, including remote sensing, modeling, and dryland scientists; Tribal Nations; and a range of U.S. federal entities. This report outlines a targeted plan to deploy field and NASA airborne instruments to vastly augment data derived from satellite observations that, when joined, will substantially advance quantification of drylands' large and changing role in the U.S. and in the Earth system.

records of mortality, dust storms and demographic/census data for the United States. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Data contained PII and were obtained under a licensing agreement with CDC. Data may be obtained from CDC/NCHS. Contact Tim Wade (wade.tim@epa.gov) for other access options. Format: Raw data consist of fixed delimited text files from the CDC/NCHS with data documentation provided. Data are processed and analyzed in R and stored as R data files and/or comma delimited text files. R programs fully document the processing and variable naming conventions. This dataset is associated with the following publication: Crooks , J., W. Cascio , M. Percy, J. Reyes , L. Neas , and E. Hilborn. The Association between Dust Storms and Daily Non-Accidental Mortality in the United States, 1993-2005.. ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 124(11): 1735-43, (2016).

The xcel spreadsheet includes results of photochemical model simulations of regional haze that were used to develop the tables and figures included in the publication. Citation information for this dataset can be found in Data.gov's References section.