Biology and Ecosystems
Learn more about animal population analysis, and access, explore, and download U.S. species occurrence data.
The Composite Raster and Divergence Tool is an ArcGIS ArcMap add-in
What’s New: A new version of the SPARROW code is being developed in the R programming language. The advantage of R is that it is non-proprietary and does not require a license or software cost. The R – SPARROW code is now being completed and should be available early in CY18. Stay Tuned.
ScienceCache is a scientific geocaching mobile application framework. By melding training and games into the hunt for place-based data collection sites, and incorporating photo uploads as data or for authentication, new volunteers can collaborate in robust data collection. As a volunteer, simply download the ScienceCache app, choose a route, and then follow the directions to collect data.
Software to Estimate Bird and Bat Fatality at Wind Farms
eDNAoccupancy allows users to specify and fit multi-scale occupancy models with or without covariates, to estimate posterior summaries of occurrence and detection probabilities, and to compare different models using Bayesian model-selection criteria.
The programs perform input file formation, distribution visualization, individual-based dynamic population simulation, pedigree accuracy assessment, effective population si
Aquatic Pathogen Template Database (AquaPathogen X)
Random Landscape Tool uses a raster data source and a table of classifications to create a random landscape. The classification table allows the user to weight the probability of occurrence to certain classes and to spatially restrict the distribution of classes to certain areas (zones).
This data exploration tool is intented for use by researchers, resource managers, and the public to better understand the status of the fish community in Lake Erie.
Estimates patch occupancy rates and related parameters.
Quantitative fatty acid signature analysis (QFASA) is a method of diet estimation introduced over a decade ago (Iverson et al. 2004).