Data

Data were collected between 2010 and 2022 in a research area of the Everglades known as the Decompartmentalization Physical Model (DPM), a wetland area in the central Everglades that includes canals and levees bordering Water Conservation Area 3A (WCA-3A) to the northwest and Water Conservation Area 3B (WCA-3B) to the southeast. During the twelve-year study period more than ten major...

Data were collected between 2013 and 2022 in a research area of the Everglades known as the Decompartmentalization Physical Model (DPM), a wetland area in the central Everglades that includes canals and levees bordering Water Conservation Area 3A (WCA-3A) to the northwest and Water Conservation Area 3B (WCA-3B) to the southeast. During the study more than ten major controlled flow...

The Lower Salinas Valley Hydrologic Models’ discretization data includes a shapefile of the model domain and layers and a shapefile of the water balance subregions. The Lower Salinas Valley Hydrologic Models (LSVHM) include a historical model, the Salinas Valley Integrated Hydrologic Model (SVIHM) and a reservoir operations model, the Salinas Valley Operational Model (SVOM). While the...

This digital dataset contains the surface water data used for both the Salinas Valley Watershed Model (SVWM) and the Lower Salinas Valley Hydrologic Models (Salinas Valley Integrated Hydrologic Model (SVIHM) and Salinas Valley Operational Model (SVOM)). The surface water dataset includes describes two regions of the Salinas River Watershed; the upper region is occurs primarily within San...

A biophysical approach to modeling overland flow in the Everglades can help predict future outcomes for ecological habitat, water storage during droughts, and water conveyance during floods. The data provided include measurements of vegetation stem architecture, microtopography, and landscape pattern metrics. Stem architecture measurements present the opportunity to estimate flow...

To assess the distribution, frequency, and global extent of riverine hypoxia, we compiled 118 million paired dissolved oxygen (DO) and water temperature measurements from 125,158 unique locations in rivers in 93 countries and territories across the globe. The dataset also includes site characteristics derived from StreamCat, the National Hydrography and HydroAtlas datasets and proximal...

Data Release from the High-Flow Field Experiments to Inform Everglades Restoration: Experimental Data 2010 to 2018. Data were obtained from field sites located in the Everglades between two canals (L-67A and L-67C) from 2010 to 2018. During this time, five major controlled flow releases occurred by opening the culvert S152 on canal L-67A. Data consist of water velocity (continuous and...

The data herein report continuous field measurements and specific discrete sampling events associated with water quality and carbon consitutents - both dissolved and particulate forms. These data were coupled with atmospheric flux measurements during the 2017-18 water year to estimate the net storage of fixed carbon within the marsh on an areal basis. Direct and indirect measurement...

This data set includes dissolved oxygen (DO) and specific conductivity (SpC) data collected in both the surface water and shallow streambed at the Quashnet River, Mashpee, USA from 2014-16. This data was collected to better understand groundwater discharge to the river and associated brook trout habitat. DO was typically near saturation in surface water and some groundwater, but is...

Images were collected using a remotely piloted unoccupied aerial system (UAS) over the bluffs of the eastern shore of Lake Michigan in Ludington rural area, Mason County, MI. Images were collected in two separate surveys conducted on July 11, 2019, and July 14, 2021, using a DJI Phantom 3 and 4 PRO commercial UAS respectively operated by the University of Toledo. The images cover an...

Demographic look up tables allow the translation of a population growth rate, which is estimable from count data, to a set of vital rates parameterizing the birth and survival processes of the population. These tables are used in the BatTool R package to produce realistic simulations of population abundance trajectories given a range of population growth rates.

This R package was developed to help the USFWS understand the effects of wind turbine mortality and WNS on the Indiana bat. The model has been described in a peer-reviewd (and open access publication). The package includes both a GUI and command line interface. The GUI only works for Myotis spp., although the command line tool has been expanded for two other genera of bats: Lasiurus spp...