Found 1325 datasets matching "model predictions".
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<p>This data release provides the predictions from stream temperature models described in Chen et al. 2021. Briefly, various deep learning and process-guided deep learning models were built to ...
Search relevance: 116.86 | Views last month: 1 -
This data release contains model inputs, R code, and model outputs for predicting depth to bedrock in the Delaware River Basin at a 1km gridded resolution with a random forest model. Model inputs...
Search relevance: 115.52 | Views last month: 2 -
The US Geological Survey (USGS) conducted a study (Carlisle and others 2017) with a national-scale dataset composed of ecological data from the USGS National Water-Quality Assessment Project and...
Search relevance: 109.97 | Views last month: 1 -
This collection includes input and output data files from a SWAT model calibrated for the Upper Rogue River, OR, USA with predictions generated for the 2040s. Files are archived in a model...
Search relevance: 109.79 | Views last month: 0 -
This data release includes 5 files containing model inputs and resulting model predictions. A previously-calibrated spatially referenced regression (SPARROW) model was used to estimate effects of...
Search relevance: 105.78 | Views last month: 0 -
This data release contains the forcings and outputs of 7-day ahead maximum water temperature forecasting models that makes predictions at 70 river reaches in the upper Delaware River Basin. This...
Search relevance: 104.78 | Views last month: 2 -
This data release contains predictions of stream biological condition as defined by the Chesapeake basin-wide index of biotic integrity for stream macroinvertebrates (Chessie BIBI) using Random...
Search relevance: 104.22 | Views last month: 1 -
We analyzed detection/non-detection data from acoustic surveys of bat species in Colorado during the summers of 2016 and 2017. The goal of this analysis is to create species distribution maps...
Search relevance: 102.31 | Views last month: 0 -
This dataset represents depth predictions from a bathymetric model developed for the New York offshore spatial planning area. The model also includes spatially-explicit uncertainty estimates...
Search relevance: 101.96 | Views last month: 0 -
Multiple modeling frameworks were used to predict daily temperatures at 0.5m depth intervals for a set of diverse lakes in the U.S. states of Minnesota and Wisconsin. Process-Based (PB) models...
Search relevance: 100.14 | Views last month: 1 -
This dataset represents depth uncertainty predictions from a bathymetric model developed for the New York offshore spatial planning area. The model also includes spatially-explicit depth...
Search relevance: 99.71 | Views last month: 0 -
An extreme gradient boosting ensemble tree model predicting per- and polyfluoroalkyl substances (PFAS) occurrence in groundwater at the depths typical of the bottom of public and domestic drinking...
Search relevance: 98.95 | Views last month: 5 -
False positive occupancy analysis predictions with model uncertainty based on summertime data provided to support the three bat species status assessment (SSA) for Myotis lucifigus (MYLU), Myotis...
Search relevance: 98.30 | Views last month: 5 -
This dataset represents sediment size predictions from a sediment spatial model developed for the New York offshore spatial planning area. The model also includes spatially-explicit uncertainty...
Search relevance: 98.29 | Views last month: 0 -
This dataset includes evaluation data ("test" data) and performance metrics for water temperature predictions from multiple modeling frameworks. Process-Based (PB) models were configured and...
Search relevance: 98.26 | Views last month: 0 -
This dataset represents hard bottom occurrence predictions from a spatial model developed for the New York offshore spatial planning area. This model builds upon the data compilation and...
Search relevance: 97.71 | Views last month: 0 -
ToxCast bioactivity data and model predictions for the ER and AR pathways for p,p'-DDD and analogues
ToxCast bioactivity data and model predictions for the estrogen receptor (ER) and androgen receptor (AR) pathways were obtained from the inks provided. This dataset is associated with the...
Search relevance: 97.53 | Views last month: 1 -
False positive occupancy analysis predictions with model uncertainty based on summertime data provided to support the three bat species status assessment (SSA) for Myotis lucifigus (MYLU), Myotis...
Search relevance: 97.42 | Views last month: 0 -
Boosted regression trees (BRT), a type of ensemble-tree machine-learning method, were used to predict specific conductance concentration at multiple depths throughout the Mississippi River Valley...
Search relevance: 96.89 | Views last month: 0 -
False positive occupancy analysis predictions with model uncertainty based on summertime data provided to support the three bat species status assessment (SSA) for Myotis lucifigus (MYLU), Myotis...
Search relevance: 95.26 | Views last month: 0
