Search Data.gov
Found 981 dataset(s) matching "statistical methods".
-
Operational ecological forecasting is an emerging field that leverages ecological models in a new, cross-disciplinary way, using a real-time or nearly real-time climate forecast to project...
-
This data release documents the spatial and temporal variability of nutrients and related water quality parameters at high spatial resolution in Suisun Marsh and Suisun Bay in the San Francisco...
-
The data release contains data for the spatial and temporal variability of nutrients and related water quality parameters at high spatial resolution in the North Delta in the Sacramento-San...
-
Data was collected in the Cache Slough Complex located in the northern San Francisco Estuary to characterize water quality parameters at high spatial resolution. Data collection was conducted on...
-
This data release documents the spatial and temporal variability of nutrients and related water quality parameters at high spatial resolution in the North Delta in the Sacramento-San Joaquin River...
-
EverSparrow is a spatially explicit Bayesian model of Cape Sable Seaside Sparrow (Ammospiza maritima mirabilis; CSSS) presence that quantifies the interdependent relationships between a range of...
-
This data release documents the spatial and temporal variability of nutrients and related water quality parameters at high spatial resolution in the western and central portion of the...
-
The study is comprised of daily survey data consisting of high resolution mapping and discrete sample collection of nutrients, phytoplankton, and related water quality constituents conducted in...
-
KiteNest is a spatially explicit model of Everglades snail kite (Rostrhamus sociabilis plumbeus) relative nest site selection that quantifies the relationships between a range of environmental...
-
This report documents the spatial and temporal variability of nutrients and related water quality parameters at high spatial resolution in the North Delta in the Sacramento-San Joaquin River Delta...
-
The dataset documents the spatial and temporal variability of nutrients, phytoplankton, and related water quality parameters at high spatial resolution in the Sacramento-San Joaquin River Delta...
-
Broad-area, high-resolution, boat-based water quality mapping surveys of the Sacramento-San Joaquin Delta and Suisun Bay (Delta) of California, USA were conducted under different...
-
The dataset documents the spatial and temporal variability of nutrients and related water quality parameters at high spatial resolution in the North Delta, Central Delta, and the Western Delta out...
-
This data are composed of precipitation, wetland water depth, volumetric soil moisture, nitrogen and carbon concentrations measured into and out of a wetland, and model computed soil moisture...
-
The dataset documents the spatial and temporal variability of nutrients and related water quality parameters at high spatial resolution in the North Delta of the Sacramento-San Joaquin River Delta...
-
Background Earlier methods for detecting major genes responsible for a quantitative trait rely critically upon a well-structured pedigree in which the segregation pattern of genes...
-
Fortran and Matlab programs, Matlab mex file of Fortran program, compiled mex file, and sample data files, etc. for computing a partial elastic shape registration of two simple surfaces in...
-
A software package for computing the elastic registration of two simple curves in d-dimensional space, d a positive integer, and therefore the elastic shape distance between them. The...
-
ml_uncertainty: A Python module for estimating uncertainty in predictions of machine learning models
This software is a Python module for estimating uncertainty in predictions of machine learning models. It is a Python package that calculates uncertainties in machine learning models using...
-
Python scripts and Python+Qt graphical user interface for calculating Feldman-Cousins confidence intervals for low-count Poisson processes in the presence of a known background and for Gaussian...
