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Found 157 dataset(s) matching "environmental covariates".
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This data set provides vegetation, environmental, and soil data collected from plots located in the footprints of eddy covariance flux towers along a 300 km north-south latitudinal gradient from...
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Yucatan 6km Sea Surface Currents. Radial Vectors quality controlled using hfradarpy Python toolbox
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Informed wildlife management requires robust information regarding population status, habitat requirements, and likely responses to changing resource conditions. Growing evidence indicates single...
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This data in publicly available environmental data that showcases the spmodel R package.
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Data files in this project were used in an integrated population model for three breeding populations of Wilson’s Warbler (Cardellina pusilla). Data span the years 1992-2008. Data include counts...
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Data files in this project were used in an integrated population model for three breeding populations of Wilson’s Warbler (Cardellina pusilla). Data span the years 1992-2008. Data include counts...
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This dataset includes measurements of ammonia air surface exchange in two adjacent ecosystems measured by open-path quantum cascade laser using the eddy covariance technique. Analysis includes...
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Anthropogenic activities including industrialization, urbanization, and agriculture have resulted in frequent detection of contaminants of emerging concern (CECs) across Great Lakes tributaries....
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Detecting trends in biological attributes is central to many stream monitoring programs; however, understanding how natural variability in environmental factors affects trend results is not well...
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Detecting trends in biological attributes is central to many stream monitoring programs; however, understanding how natural variability in environmental factors affects trend results is not well...
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Population-based county-level estimates for prevalence of DC were obtained from the Institute for Health Metrics and Evaluation (IHME) for the years 2004-2012 (16). DC prevalence rate was defined...
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Data represent predicted cheatgrass (Bromus tectorum) cover from a quantile regression model. We used quantile regression to model cheatgrass abundance as a function of climate, weather, and...
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In an effort to address a major challenge in chemical safety assessment, alternative approaches for characterizing systemic effect levels, a predictive model was developed. Systemic effect levels...
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High resolution spatial stream network (SSN) models are needed to predict stream temperature distributions across large basins at a fine scale, to identify thermal refuge areas for conservation...
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These data contain several publicly-available data sets that are used to elucidate the methods in the paper, including data on seal counts in Alaska, county-aggregated demographic data, and heavy...
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Wind speed, wind direction (3D) and gas concentrations are measured at 10 Hz and statistically processed using the eddy covariance technique to half-hour estimates of flux rates of gas exchange...
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This data set provides ground in situ flux and meteorological science data from fixed instruments at three eddy covariance tower sites located in the Alaskan Arctic tundra. Real and gap-filled...
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Wind speed, wind direction (3D) and gas concentrations are measured at 10 Hz and statistically processed using the eddy covariance technique to half-hour estimates of flux rates of gas exchange...
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Wind speed, wind direction (3D) and gas concentrations are measured at 10 Hz and statistically processed using the eddy covariance technique to half-hour estimates of flux rates of gas exchange...
