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Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers ( Show direct descendants )
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Remote camera data on snow presence, snow depth, and wildlife detections on Moscow Mountain in Latah County, ID, USA. Reconyx Hyperfire I and Hyperfire II cameras were used and set to take hourly timelapse images and motion-triggered images. The cameras were deployed from October 2020 - May 2021. Snow presence was assessed up to 15 m from the camera. Snow depth was measured using virtual snow stakes created with the edger R package created by the author. Wildlife were marked as present in all photos in which they appear, and new individuals were counted. Snow density was collected using a federal or prairie snow sampler. Snow hardness was collected using a ram penetrometer. Solar radiation was calculated using hemispherical...
Categories: Data,
Publication;
Types: Citation;
Tags: Idaho,
Latah,
Moscow Mountain,
Odocoileus hemionus,
Odocoileus virginianus,
We collected snow density measurements at camera sites from December 2020 - April 2021, at the same time as snow hardness measurements. We took measurements every few weeks as logistics allowed. We took samples near the camera site in snow visually similar to the snow in the camera viewshed (the geographical area that is visible from a location) to prevent snow conditions from being disturbed beyond normal camera deployment. We took snow density samples using a homemade prairie sampler in snow depths < 100 cm and using a federal snow sampler in snow depths > 100 cm. The sampler was inserted into the snow to remove a snow core. We retained the core if the depth of snow in the sampler was at least 90% of the actual...
Categories: Data,
Publication;
Types: Citation;
Tags: Idaho,
Latah,
Moscow Mountain,
Odocoileus virginianus,
biota,
This metadata record describes monthly input and output data covering the period 1900-2015 for a water-balance model described in McCabe and Wolock (2011). The input datasets are precipitation (PPT) and air temperature (TAV) from the PRISM group at Oregon State University. The model outputs include estimated potential evapotranspiration (PET), actual evapotranspiration (AET), runoff (RUN) (streamflow per unit area), soil moisture storage (STO), and snowfall (SNO). The datasets are arranged in tables of monthly total or average values measured in millimeters or degrees C and then multiplied by 100. The data are indexed by the identifier PRISMID, which refers to an ASCII raster of cells in an associated file named...
Shapefile containing the boundaries of the eight Climate Adaptation Science Centers (CASCs).
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Climate Science Center,
United States, U.S. Affiliated Pacific Islands,
boundaries
These data were used to examine how post-fire sedimentation might change in western USA watersheds with future fire from the decade of 2001-10 through 2041-50. The data include previously published projections (Hawbaker and Zhu, 2012a, b) of areas burned by future wildfires for several climate change scenarios and general circulation models (GCMs) that we summarized for 471 watersheds of the western USA. The data also include previously published predictions (Miller et al., 2011) of first year post-fire hillslope soil erosion from GeoWEPP that we summarized for 471 watersheds of the western USA. We synthesized these summarized data in order to project sediment yield from future fires for 471 watersheds through the...
Categories: Data;
Types: Citation;
Tags: A1B emission scenario,
A2 emission scenario,
Annual Post-fire Sediment Yield,
Arizona,
Average Burned Area,
The American Fisheries Society and the Human Dimensions Research Unit of Cornell University have been engaged by NCCWSC to lead 5-year reviews of the CSCs. The purpose of the CSC review and evaluation is to: 1. Evaluate the effectiveness of each CSC in meeting project goals. 2. Assess the level of scientific contribution and achievement at each CSC with respect to climate modeling, climate change impacts assessments, vulnerability and adaptation of fish, wildlife and their habitats, and collaborative development of adaptation strategies for regional stakeholders, and education and training of graduate and post‐doctoral fellows 3. Evaluate the competencies and efficiencies of each host university in managing...
Categories: Publication;
Types: Citation;
Tags: National CASC,
Science Tools for Managers,
Social Science
This data set includes bi-monthly data on submerged aquatic vegetation species composition, percent cover, above and below ground biomass and environmental data at coastal sites across the fresh to saline gradient in Barataria Bay, LA. This project was co-funded by the South Central Climate Adaptation Science Center and the Gulf Coast Prairie and the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperatives. An alternate reference to this product can be found here.
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Climatology,
Gulf of Mexico,
Louisiana Coastal,
Plants,
Sea-Level Rise and Coasts,
Shapefile containing the boundary of the Alaska Climate Adaptation Science Center (CASC).
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Alaska,
Climate Science Center,
boundaries
Shapefile containing the boundary of the Northwest Climate Adaptation Science Center (CASC).
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Climate Science Center,
Washington, Oregon, Idaho,
boundaries
The American Fisheries Society and the Human Dimensions Research Unit of Cornell University have been engaged by NCCWSC to lead 5-year reviews of the CSCs. The purpose of the CSC review and evaluation is to: 1. Evaluate the effectiveness of each CSC in meeting project goals. 2. Assess the level of scientific contribution and achievement at each CSC with respect to climate modeling, climate change impacts assessments, vulnerability and adaptation of fish, wildlife and their habitats, and collaborative development of adaptation strategies for regional stakeholders, and education and training of graduate and post‐doctoral fellows 3. Evaluate the competencies and efficiencies of each host university in managing...
Categories: Publication;
Types: Citation;
Tags: National CASC,
Science Tools for Managers,
Social Science
Attributes of remote camera stations on Moscow Mountain in Latah County, ID including georeferencing information and camera deployment information. Remote cameras were used to collect data on snow presence, snow depth, and wildlife detections on Moscow Mountain in Latah County, ID, USA. Reconyx Hyperfire I and Hyperfire II cameras were used and set to take hourly timelapse images and motion-triggered images. The cameras were deployed from October 2020 - May 2021.
Categories: Data,
Publication;
Types: Citation;
Tags: Idaho,
Latah,
Moscow Mountain,
location,
snow and ice cover
This dataset contains inputs for a numerical groundwater-flow model of the Upper San Pedro Basin in southeastern Arizona and Northern Sonora, Mexico.
Categories: Data;
Types: Citation;
Tags: Arizona,
Rivers, Streams and Lakes,
Southwest CASC,
Water, Coasts and Ice,
groundwater, groundwater flow, model, aquifer, stream
This dataset contains replicate samples collected in the field by community technicians. No field replicates were collected in 2012. Replicate constituents with differences less than 10 percent are considered acceptable.
Shapefile containing the boundary of the Northeast Climate Adaptation Science Center (CASC).
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Climate Science Center,
boundaries
This dataset includes laboratory instrument detection limit data associated with laboratory instruments used in the analysis of surface water samples collected as part of the USGS - Yukon River Inter-Tribal Watershed Council collaborative water quality monitoring project.
This dataset provides bi-monthly data on seed biomass collected in shallow water habitats across the fresh to saline gradient at coastal sites in Barataria Bay, Louisiana. This project was co-funded by the South Central Climate Adaptation Science Center and the Gulf Coast Prairie and the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperatives. An alternate reference to this product can be found here.
Categories: Data;
Types: Citation;
Tags: Alabama,
Climatology,
Gulf of Mexico,
Louisiana Coastal,
Mississippi Coastal,
Shapefile containing the boundary of the South Central Climate Adaptation Science Center (CASC).
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Climate Science Center,
Texas, Oklahoma, New Mexico, Louisiana,
boundaries
This shapefile approximates the area less than 20 km offshore of the North Pacific Coastline as defined by the "World Country Boundaries (Generalized)" shapefile distributed by ESRI as part of their Data & Maps data series.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Asian Pacific,
National CASC,
North Pacific,
Pacific Coast,
Pacific Northwest,
This script applies topic modeling to analyze literature trends of climate impacts to inland fish based on the papers within the Fish and Climate Change Database (FiCli, DOI: 10.5066/P9973SMC). Sections 1-8 loaded the .bib file with all of the papers in the database and cleaned the text. This included combining the title/abstract/keywords, removing non-informative words, stemming words, removing punctuation, and forming phrases (ie. climate change to climate_change). Sections 9-10 divided the papers into discrete topics by identifying the ideal number of topics and then using Latent Dirichlet Allocation (LDA) modeling and Gibbs sampling to assign topics to each paper. Sections 11-17 analyzed the topic modeling results...
Categories: Data,
Publication;
Types: Citation;
Tags: FiCli,
Fish and Climate Change Database,
Latent Dirichlet Allocation,
biota,
freshwater fishes,
This dataset contains inputs for a numerical groundwater-flow model of the Upper San Pedro Basin in southeastern Arizona and Northern Sonora, Mexico.
Categories: Data;
Types: Citation;
Tags: Arizona,
Rivers, Streams and Lakes,
Southwest CASC,
Water, Coasts and Ice,
groundwater, groundwater flow, model, aquifer, stream
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