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Found 158 dataset(s) matching "environmental predictors".
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The dataset is tabular data on DNA methylation assessment, residential history, individual-level socioeconomic status, and neighborhood built environment for participants in the Detroit...
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This data release contains: (1) ASCII grids of predicted probability of elevated arsenic in groundwater for the Northwest and Central Minnesota regions, (2) input arsenic and predictive variable...
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(1) qPCR and RT-qPCR for cyanotoxin producing genes, and (2) some water quality parameters. This dataset is associated with the following publication: Duan, X., C. Zhang, I. Struewing, X. Li, H....
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Field and GIS data for Brazilian streams use for journal article: Wood Predictors in Neotropical Streams: Assessing the Effects of Regional and Local Controls in Amazon and Cerrado Catchments....
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The state conducted a detailed inventory of greenhouse gasses in 2006 and 2011. Estimated emissions for those two years represent the results of the inventories. Projected emissions under a...
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The dataset has all of the information used to create and evaluate 3 independent QSAR models for the fraction of a chemical unbound by plasma protein (Fub) for environmentally relevant chemicals....
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Data on vegetated filter strips, sediment loading into and out of riparian corridors/buffers (VFS), removal efficiency of sediment, meta-analysis of removal efficiencies, dimensional analysis of...
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Microrefugia can play an important role in determining biological responses to climate change, but the location and characteristics of these habitats are often poorly understood....
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We modeled the distribution and thermal and hydrologic stability of cliff-face seeps across moist portions of the Pacific Northwest, USA. We conducted surveys for cliff-face seeps across ~1,600km...
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Microrefugia can play an important role in determining biological responses to climate change, but the location and characteristics of these habitats are often poorly understood....
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Importance of random forest predictors for all classification models of chemical function. This dataset is associated with the following publication: Isaacs , K., M. Goldsmith, P. Egeghy , K....
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Quantifying spatially explicit or pixel-level aboveground forest biomass (AFB) across large regions is critical for measuring forest carbon sequestration capacity, assessing forest carbon balance,...
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This dataset contains global surface water partial pressure of CO2 data, pCO2w data, and sea-air CO2 fluxes based on the extremely randomized trees or extra trees, ET machine learning approach....
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The data set contains the details on the microwave calibrations for carbon nanotubes, the variance predictors and responses by the components applying partial least square regression. Also...
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Background Because moisture and temperature influence the growth of fungi, characterizing weather conditions favorable for fungi may be used to predict the abundance and richness of...
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This dataset contains mapped observation-based oceanic dissolved inorganic carbon (DIC), monthly climatology from January to December (based on observations between 2004 and 2017), from the...
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We developed habitat suitability models for occurrence of three invasive riparian woody plant taxa of concern to Department of Interior land management agencies, as well as for three dominant...
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We created a consensus, meta-model using the Systematic Empirical Evaluation of Models framework in which the predictors of exposure were combined by pathway and weighted according to predictive...
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A hierarchical vegetation classification model (10 m resolution) was developed for southwest Florida wetlands using a fusion of multispectral and synthetic aperture radar (SAR) remotely sensed...
