Found 58 datasets matching "Logistic models".
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Tables are presented listing parameters used in logistic regression equations describing drought streamflow probabilities in the Northeastern United States. Streamflow daily data, streamflow...
Search relevance: 121.50 | Views last month: 0 -
A table is presented listing: (1) USGS Gage Station Numbers, (2) Model Identification Tags, (3) Model Term Estimates, (4) Model Term Fit Statistics, and (5) Model Performance Indices for Maximum...
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Tables are presented listing parameters and fit statistics for 25,453 maximum likelihood logistic regression (MLLR) models describing hydrological drought probabilities at 324 gaged locations on...
Search relevance: 98.17 | Views last month: 0 -
This is a surface showing relative favorability for the presence of geothermal systems in the western United States. It is an average of 12 models that correlates different geological and...
Search relevance: 92.38 | Views last month: 1 -
This dataset provides cycle threshold (Ct) values achieved during qPCR for 6 sex-linked genes, and two autosomal genes, for individuals from 60 species and across 13 orders of birds.
Search relevance: 82.10 | Views last month: 0 -
Approximately 43 million people (about 14 percent of the U.S. population) rely on domestic wells as their source of drinking water. Unlike community water systems, which are regulated by the Safe...
Search relevance: 69.15 | Views last month: 2 -
The performance standard for ballistic-resistant body armor published by the National Institute of Justice (NIJ), NIJ Standard 0101.06, recommends estimating the perforation performance of body...
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Jupyter notebook files containing the Python script used for analyzing interacting effects of water chemistry features on zinc anode passivation. Includes code to evaluate Master Dataset with...
Search relevance: 52.84 | Views last month: 0 -
This data release contains a table of measured arsenic concentrations and associated model input variables used to test existing multivariate logistic regression models that predict the...
Search relevance: 51.62 | Views last month: 2 -
Landslide susceptibility models show the potential of landslide occurrence at a location. These models are pivotal for reducing losses associated with landslides (Godt et al., 2022). In this data...
Search relevance: 49.27 | Views last month: 0 -
Generalized linear models (GLM) generated for predicting the distribution of macroinvertebrate-sized hydroids, brittle stars, and short and tall sea pens that live in the Santa Barbara Channel...
Search relevance: 49.04 | Views last month: 0 -
This data release contains one dataset and one model archive in support of the journal article "Leveraging machine learning to automate regression model evaluations for large multi-site...
Search relevance: 48.88 | Views last month: 2 -
Although mixed-membership models have achieved great success in unsupervised learning, they have not been widely applied to classification problems. In this paper, we propose a family of...
Search relevance: 48.73 | Views last month: 0 -
This raster data set delineates the predicted probability of elevated nitrate concentrations in groundwater in the Eagle River watershed valley-fill aquifer, Eagle County, North-Central Colorado,...
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This raster data set delineates the predicted probability of unmixed young groundwater (defined using chlorofluorocarbon-11 concentrations and tritium activities) in groundwater in the Eagle...
Search relevance: 45.78 | Views last month: 0 -
These models are related to weights of evidence play fairway anlaysis of the Tularosa Basin, New Mexico and Texas. They were created through Spatial Data Modeler: ArcMAP 9.3 geoprocessing tools...
Search relevance: 44.62 | Views last month: 0 -
This dataset is a 900 meter resolution raster representing the depth in meters at which the probability of oxic groundwater occurring is at least 50%, for the Chesapeake Bay watershed. Oxic...
Search relevance: 44.58 | Views last month: 0 -
Background: Mortality predictions calculated using scoring scales are often not accurate in populations other than those in which the scales were developed because of differences in...
Search relevance: 44.52 | Views last month: 1 -
This raster data set delineates the predicted probability of elevated volatile organic compound (VOC) concentrations in groundwater in the Eagle River watershed valley-fill aquifer, Eagle County,...
Search relevance: 44.52 | Views last month: 0 -
Arsenic concentrations from 20,450 domestic wells in the U.S. were used to develop a logistic regression model of the probability of having arsenic > 10 µg/L (“high arsenic”), which is presented...
Search relevance: 43.76 | Views last month: 2