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This data release contains information collected during surveys for chorus fogs (Pseudacris maculata), wood frogs (Lithobates sylvaticus) and tiger salamanders (Ambystoma mavortium) conducted in Rocky Mountain National Park (1986 – 2022) by the U.S. Geological Survey. Survey methods included visual encounter and aural surveys, and dip netting. Data collected between 1986 and 1994 focused on named water bodies in Rocky Mountain National Park. Data collected between 1995 and 1999 are from focal monitoring sites as well as sporadic surveys of other wetlands. Data collected between 2000-2002 represent repeated surveys conducted between 1986 and 1994 (e.g., park-wide surveys of named water bodies) and additional surveys of unnamed waterbodies. Data collected after 2002 were collected under an occupancy framework. Sites were identified within pre-defined catchments using the National Wetlands Inventory Database to locate potential amphibian breeding habitat (e.g., ponds, ephemeral wetlands). If appropriate sites were encountered in the field and were not indicated on National Wetland Inventory databases (https://www.fws.gov/program/national-wetlands-inventory/metadata), they were added as incidental sites. Waterbodies were visited and surveyed at least two times during the amphibian active season (May and mid-August). Water bodies were surveyed for all life stages of amphibians.

Comma-separated values (.csv) file containing data related to amphibian sampling across the United States between 2016 and 2021. Data files contain mercury concentrations in amphibian and dragonfly tissues, mercury concentrations in sediment, as well as amphibian morphometrics, and habitat and climate characteristics where the samples were collected.

Data in this dataset were collected as a part of the Student Network for Amphibian Pathogen Surveilance (SNAPs) program throughout the United States by undergraduate students in biology or ecology courses as a part of their curriculum throughout 2022. This data was collected in the field by students and sent to the USGS National Wildlife Health Center (NWHC) for testing of two amphibian fungal pathogens, Batrachochytrium dendrobatidis (Bd) and Batrachochytrium salamandrivorans (Bs). The dataset includes both the field records of the individual amphibians tested and the results for individuals for Bd and Bsal

Data release of Bd and Bsal detection results from the ARMI funded Student Network for Amphibian Pathogen Surveillance network. Includes 40+ institutions from the U.S. and Mexico as of calendar year 2022

This data set is comprised of 3 files of information collected on amphibians and vernal pool habitats at Canaan Valley National Wildlife Refuge from 2004 - 2016.

Includes data used to estimate population demographic parameters for an exemplary high-elevation amphibian species, the federally endangered Shenandoah salamander (Plethodon shenandoah). These parameters were entered into a Markov projection model which we used to forecast the future population status of the Shenandoah salamander.

Data in this dataset were collected as a part of the Student Network for Amphibian Pathogen Surveilance (SNAPs) program throughout the United States by undergraduate students in biology or ecology courses as a part of their curriculum2020-2022. This data was collected in the field by students and sent to the USGS National Wildlife Health Center (NWHC) for testing of two amphibian fungal pathogens, Batrachochytrium dendrobatidis (Bd) and Batrachochytrium salamandrivorans (Bsal).

We conducted visual surveys for (Rhyacotriton cascadae at 65 sites in Oregon and Washington that were historically occupied by the species to evaluate it's status across it's range and determine whether the species merits listing under the Endangered Species Act. This dataset includes counts of all amphibians observed during each site survey, as well as habitat and water sampling covariates between 4 May and 12 October of 2022.

We used radio-telemetry to study late-season movement and habitat use by Oregon spotted frogs (Rana pretiosa) at Crane Prairie Reservoir in Oregon. This dataset includes individual frog location data and habitat use during each tracking event that occurred roughly weekly between September and late November of 2018.

Climate data allow people to examine species distributions and possible distributions. This script takes ERA5-Land climate estimates (https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5) for precipitation and lake temperature and processes them to create summary climate layers for use with biological organisms in lakes. This code could be modified to use a different subset of years.

These BioLake raster data provide global estimates (~10.0 x 12.4 km resolution) of twelve bioclimatic variables based on estimated lake temperature. Eleven of these twelve variables (BioLake01 - BioLake11) are estimated for each of three lake strata: lake mix (surface) layer, lake bottom, and total lake water column. These eleven variables correspond to CHELSA (Climatologies at high resolution for the earth's land surface areas) bioclimatic variables BIO1 - BIO11, except that these BioLake variables are based on lake water temperature and CHELSA BIO1 - BIO11 variables are based on air temperature. CHELSA BIO is also calculated a finer spatial resolution (~1 x 1 km). The twelfth variable (BioLake20; months with non-zero ice cover) does not correspond to any CHELSA bioclimatic variable. The data are supplied as a multi-layer raster (.grd) file in the World Mollweide projection, accompanied by a header file (.gri) with layer names.

For BioLake layer download, see https://doi.org/10.5066/P96QLN5Y

These BioLake raster data provide global estimates (~10.0 x 12.4 km resolution) of twelve bioclimatic variables based on estimated lake temperature. Eleven of these twelve variables (BioLake01 - BioLake11) are estimated for each of three lake strata: lake mix (surface) layer, lake bottom, and total lake water column. These eleven variables correspond to CHELSA (Climatologies at high resolution for the earth's land surface areas) bioclimatic variables BIO1 - BIO11, except that these BioLake variables are based on lake water temperature and CHELSA BIO1 - BIO11 variables are based on air temperature. CHELSA BIO is also calculated a finer spatial resolution (~1 x 1 km). The twelfth variable (BioLake20; months with non-zero ice cover) does not correspond to any CHELSA bioclimatic variable. The data are supplied as a multi-layer raster (.grd) file in the World Mollweide projection, accompanied by a header file (.gri) with layer names.

This Data Release represents geospatial and tabular data for a study investigating linkages between local terrain and wetland hydroperiod and was supported by the U.S. Geological Survey (USGS) Amphibian Research and Monitoring Initiative (ARMI). This dataset contains wetland water level data from Saint Marks National Wildlife Refuge (SMNWR). Data include records of water level and water temperature measurements from select wetlands beginning in July 2010 and ending in 2019. Not all wetlands span this entire period as different phases of studies resulted in different time periods of data collection. Instrumentation included a staff gage and a non-vented continuous logging pressure transducer that logged data at 1-hour intervals. The dataset consists of 4 separate items:
1. water level monitoring site Locations (tabular data)
2. wetland perimeters (GIS vector data)
3. water level and water temperature data for 59 select wetlands (tabular data)
4. revision history text file that describes the changes from the original release to version 2.0.

This website provides an application for exploring modeling results from a U.S. Geological Survey (USGS) project titled Mapping Climate Change Resistant Vernal Pools in the Northeastern U.S. The purpose of this project was to improve understanding of the factors that control inundation patterns in vernal pools of the northeastern United States, so as to identify pools that might function as hydrologic refugia under climate change.

Altered flow regimes can contribute to dissociation between life history strategies and environmental conditions, leading to reduced persistence reported for many wildlife populations inhabiting regulated rivers. The Oregon spotted frog Rana pretiosa is a threatened species occurring in floodplains, ponds, and wetlands in the Pacific Northwest with a core range in Oregon, USA. All life stages of R. pretiosa are reliant on aquatic habitats, and inundation patterns across the phenological timeline can have implications for population success. We conducted capture–mark–recapture (CMR) sampling of adult and subadult R. pretiosa at three sites along the Deschutes River downstream from two dams that regulate flows. We related the seasonal extent of inundated habitat at each site to monthly survival probabilities using a robust design CMR model. We also developed matrix projection models to simulate population dynamics into the future under current river flows. Monthly survival was strongly associated with the extent and variability of inundated habitat, suggesting some within-season fluctuations at higher water levels could be beneficial. Seasonal survival was lowest in the winter for all three sites, owing to limited water availability and the greater number of months within this season relative to other seasons. Population growth for the two river-connected sites was most strongly linked to adult survival, whereas population growth at the river-disconnected site was most strongly tied to survival in juvenile stages. This research identifies population effects of seasonally limited water and highlights conservation potential of enhancing survival of particularly influential life stages.

Data contain metabolic rates of red-backed salamanders (Plethodon cinereus) exposed to different thermal regimes, and the movements of salamanders marked with PIT tags and exposed to electromagnetic fields.

This dataset includes hydrological measurements of 300 US temporary wetlands from 2004-2014.

This dataset contains data from an ongoing trapping effort beginning in 2019 targeting alligator snapping turtles (Macrochelys temminckii) in the Atchafalaya Basin of south-central Louisiana.

This dataset contains data on trapping methodology, turtle captures, and environmental variables from a trapping effort targeting alligator snapping turtles (Macrochelys temminckii) in south-central Louisiana in 2019.

Data used in the manuscript presenting a novel spatially explicit modeling framework for narrowing the divide between these disciplines to advance understanding of the effects of landscape structure on metapopulation dynamics.