Now showing items 1-10 of 171
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Model data associated with manuscript, "Source regions contributing to excess reactive nitrogen deposition in the Greater Yellowstone Area (GYA) of the United States"
Author(s):Zhang, Rui; Thompson, Tammy; Barna, Michael; Hand, Jennifer; McMurray, Jill; Bell, Michael; Malm, William; Schichtel, Bret
Research has shown that excess reactive nitrogen (Nr) deposition in the Greater Yellowstone Area (GYA) of the United States has passed critical load (CL) thresholds and is adversely affecting sensitive ecosystems in this ...
Dataset associated with "Laboratory Evaluation of Low-cost PurpleAir PM Monitors and In-field Correction using Co-located Portable Filter Samplers"
Author(s):Tryner, Jessica; L'Orange, Christian; Mehaffy, John; Miller-Lionberg, Daniel; Hofstetter, Josephine C.; Wilson, Ander; Volckens, John
Low-cost aerosol monitors can provide more spatially- and temporally-resolved data on ambient fine particulate matter (PM2.5) concentrations than are typically available from regulatory monitoring networks; however, low-cost ...
Pathogenesis of Oral FIV Infection
Author(s):Miller, Craig A.
Feline immunodeficiency virus (FIV) is the feline analogue of human immunodeficiency virus (HIV) and features many hallmarks of HIV infection and pathogenesis, including the development of concurrent oral lesions. While ...
Data for “The Convection Connection: How ocean feedbacks affect tropical mean moisture and MJO propagation.”
Author(s):DeMott, Charlotte; Klingaman, Nicholas P.; Tseng, Wan-Ling; Burt, Melissa A.; Gao, Yingxia; Randall, David A.
Data set associated with “A low-cost monitor for simultaneous measurement of fine particulate matter and aerosol optical depth – Part 1: Specifications and testing”
Author(s):Wendt, Eric A.; Quinn, Casey W.; Miller-Lionberg, Daniel D.; L'Orange, Christian; Ford, Bonne; Yalin, Azer P.; Pierce, Jeffrey R.; Jathar, Shantanu; Volckens, John
Globally, fine particulate matter (PM2.5) air pollution is a leading contributor to death, disease, and environmental degradation. Satellite-based measurements of aerosol optical depth (AOD) are used to estimate PM2.5 ...
Data Associated with the manuscript Using TES Retrievals to Investigate PAN in North American Biomass Burning Plumes
Author(s):Fischer, Emily V.; Zhu, Liye; Payne, Vivienne H; Brey, Steven
Peroxyacyl nitrate (PAN) is a critical atmospheric reservoir for nitrogen oxide radicals, and it plays a lead role in their redistribution in the troposphere. We analyze new Tropospheric Emission Spectrometer (TES) PAN ...
Timelapse Wood Monitoring Network - Fort Fitzgerald
Timelapse wood monitoring raw image data from Fort Fitzgerald Camera located near the Slave River at Fort Fitzgerald water gauge 7NB001, operated by Water Survey Canada. Camera located at: WGS84 59.868923 N 111.582301 W.
Data collected during the pilot campaign of the Citizen-Enabled Aerosol Measurements for Satellites (CEAMS) network in Northern Colorado
Author(s):Ford, Bonne; Pierce, Jeffrey R.; Wendt, Eric; Long, Marilee; Jathar, Shantanu; Mehaffy, John; Tryner, Jessica; Quinn, Casey; van Zyl, Lizette; L'Orange, Christian; Miller-Lionberg, Daniel; Volckens, John
These measurement data were collected by participants using the Aerosol Mass and Optical Depth (AMOD) sampler during a pilot campaign for the Citizen-Enabled Aerosol Measurements for Satellites (CEAMS) network in Fall/Winter ...
Dataset associated with "The landscape of North American rangeland social science: a systematic map"
Author(s):Bruno, Jasmine; Fernandez-Gimenez, Maria; Jamsranjav, Chantsallkham; Jablonski, Kevin; Dosamantes, Elena; Wilmer, Hailey
Rangeland scientists have made substantial progress in understanding ecological dynamics of rangelands, but the social factors have received less attention in North America. A body of North American rangeland social science ...
Dataset associated with "Detection of non-Gaussian behaviour using Machine Learning Techniques"
An important assumption made in most variational, ensemble and hybrid based data assimilation systems is that all minimised errors are Gaussian random variables. There has been theory developed at the Cooperative Institute ...