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The data in this release were used to help evaluate and understand the distribution of fish and invertebrates as well as ecological response to streamflow, water temperature, and water chemistry within the Fountain Creek Basin. This data release consists of invertebrate data collected between 1985 and 2022, fish data collected between 2003 and 2022, as well as the data neccesary to recreate the tables and figures in the associated U.S. Geological Survey Scientific Investigations Report (http://dx.doi.org/10.3133/sirXXXXXXXX). See Zuellig and others (2022) for sampling methodology and site information.
Categories: Data Release - In Progress;
Tags: Aquatic biology,
Benthic environments,
Colorado,
Community ecology,
Ecology,
These data provide spatial information about USGS 3D Elevation Program (3DEP) Broad Agency Announcement (BAA) and Data Collaboration Announcement (DCA) lidar data acquisition projects from Fiscal Year (FY) 2015 to present, including the FY, state, project name, project size, award recipient, lidar quality level (QL), contracting mechanism, and project description.
Categories: Data Release - In Progress;
Tags: 3D Elevation Program,
3DEP,
BAA,
Broad Agency Announcement,
DCA,
This is a dataset containing aggregated non-native plant occurrence and abundance data for the contiguous United States. We used these data to develop habitat suitability models for species found in the Eastern United States using locations with 5% cover or greater. We adapted the INHABIT modeling workflow (Young et al. 2020), using a consistent set of climatic predictors that were important in the INHABIT models. We developed models using five algorithms with VisTrails: Software for Assisted Habitat Modeling [SAHM 2.2.2]. We accounted for sampling bias by using the target background approach, and constructed model ensembles using the five models for each species for three different thresholds (conservative to targeted;1st...
Categories: Data,
Data Release - In Progress;
Tags: Botany,
Contiguous United States,
Ecology,
SAHM,
Species Distribution Modeling,
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