Found 132 datasets matching "Model fitting".
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These data were formatted for fitting the random encounter model to estimate seasonal densities of coyotes (Canis latrans) and black-tailed jackrabbits (Lepus californicus) in the Mojave Desert,...
Search relevance: 105.00 | Views last month: 0 -
A study comparing reintroduction scenarios for the San Francisco gartersnake (Thamnophis sirtalis tetrataenia), an endangered subspecies native to San Mateo County and Santa Cruz County in...
Search relevance: 71.73 | Views last month: 0 -
Data was collected to characterize the conditions under which sagebrush occurs after seeding and wildfire in the Great Basin, and used to parameterize models used to explore adaptive seeding...
Search relevance: 61.64 | Views last month: 0 -
The dataset contains the sample constituent concentrations and explanatory variable values used for fitting the load regression models that were then used to estimate streamwater constituent loads...
Search relevance: 53.69 | Views last month: 0 -
Monitoring data from Minnesota and from national surveys of lakes and streams that were used in the analysis for the paper: Predicting lake chlorophyll from stream phosphorus concentrations....
Search relevance: 49.15 | Views last month: 3 -
The Galactic model is a spatial and spectral template. The model for the Galactic diffuse emission was developed using spectral line surveys of HI and CO (as a tracer of H2) to derive the...
Search relevance: 46.12 | Views last month: 0 -
This data set contains surface elevations from retracked CryoSat-2 waveforms, as well as model fitting parameters used to retrack the waveform. The primary data set used in the production of these...
Search relevance: 45.21 | Views last month: 1 -
Python module 'optbayesexpt' uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters. Given an parametric model -...
Search relevance: 44.64 | Views last month: 0 -
Python module "optbayesexpt" uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters. Given a parametric model -...
Search relevance: 44.43 | Views last month: 0 -
Python module 'optbayesexpt' uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters. Given an parametric model -...
Search relevance: 43.94 | Views last month: 0 -
This data set contains the Magellan Global Reflectivity Data Record (GREDR). The power reflection coefficients are derived by fitting altimeter echoes from the fan-beam altimetry antenna as a...
Search relevance: 41.93 | Views last month: 0 -
The Maxent modeling algorithm was used to build the species distribution model at 270 m spatial resolution using species occurrence points and environmental layers as predictors (Phillips et al....
Search relevance: 41.66 | Views last month: 0 -
The Maxent modeling algorithm was used to build the species distribution model at 270 m spatial resolution using species occurrence points and environmental layers as predictors (Phillips et al....
Search relevance: 41.66 | Views last month: 0 -
The Maxent modeling algorithm was used to build the species distribution model at 270 m spatial resolution using species occurrence points and environmental layers as predictors (Phillips et al....
Search relevance: 41.66 | Views last month: 0 -
The Maxent modeling algorithm was used to build the species distribution model at 270 m spatial resolution using species occurrence points and environmental layers as predictors (Phillips et al....
Search relevance: 41.66 | Views last month: 0 -
The Maxent modeling algorithm was used to build the species distribution model at 270 m spatial resolution using species occurrence points and environmental layers as predictors (Phillips et al....
Search relevance: 41.66 | Views last month: 0 -
The Maxent modeling algorithm was used to build the species distribution model at 270 m spatial resolution using species occurrence points and environmental layers as predictors (Phillips et al....
Search relevance: 41.66 | Views last month: 0 -
This data set contains the Magellan Global Reflectivity Data Record (GREDR). The power reflection coefficients are derived by fitting altimeter echoes from the fan-beam altimetry antenna as a...
Search relevance: 41.08 | Views last month: 0 -
This data set contains the Magellan Global Slope Data Record (GSDR). The surface meter-scale slopes are derived by fitting altimeter echoes from the fan-beam altimetry antenna as a function of...
Search relevance: 40.94 | Views last month: 0
