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Kelp and Sea Urchin Data Obtained by SCUBA at Shallow Nearshore Sites along the North Pacific Rim from Bering Island to Southeast Alaska Obtained over Multiple Decades Beginning in 1987
Between 1987 and 2021, over 600 nearshore rocky bottom sites were sampled by scuba at 38 locations on the north Pacific Rim ranging from Bering Island, along the Aleutian Island chain and the Alaska Peninsula to southeast Alaska. Sites were plotted at random from along the coasts of islands or areas designated. Hard substrate was targeted. Most sites were sampled more than once, years or decades a
Data from the development and evaluation of a CRISPR/Cas12a-based biosensor for the detection of DNA from Pseudogymnoascus destructans using samples collected from various species of bats across the United States, from 2018 to 2023
Reported here are the fluorescence data points recorded from CRISPR/Cas12a biosensor assays to detect the presence or absence of DNA from Pseudogymnoascus destructans (Pd), the causative fungal agent of white-nose syndrome in bats, from artificial controls, dermal swab, and guano samples. Ct values from qPCR experiments are also provided in a table. Furthermore, we also provide the GenBank accessi
Aqueous and solid phases partitioning of elemental constituents associated with Marcellus Shale Energy and Environment Laboratory (MSEEL) gas well produced wastewater, Morgantown, WV, 2016 - 2019
The Marcellus Shale Energy and Environment Laboratory (MSEEL) site is a long-term field site and laboratory at the Northeast Natural Energy LLC (NNE) production facility, adjacent to the Monongahela River, located in western Monongalia County, West Virginia, USA. NNE began drilling two horizontal production wells, MIP (Morgantown Industrial Park) -5H and MIP-3H, in the Marcellus Shale in 2014. The
Geochemical Analysis of Bulk Dust and Human Respiratory Cells and Fluids in Research on Deployment-related Lung Injury
Multiple techniques including, x-ray diffraction, scanning electron microscopy, laser diffraction particle analysis, and inductively coupled plasma spectrometry, were used to characterize the morphology and composition of dust used for biological studies as well as lung tissue from rats, personnel deployed to Southwest Asia, and control samples. The data presented in this release are organized in
Broadband Ground Motion Simulations for 12 California Region Earthquakes
This Data Release consists of broadband ground motion simulations for 12 California region earthquakes. The ground motion simulations were done as part of a validation study that is described in more detail in Graves (2022). These simulations were computed using a hybrid simulation methodology (hereafter referred to as GP). The GP approach is a hybrid in that separate responses are computed for th
Great Lakes Sediment Surveillance Program: Mercury Concentrations and Mercury Stable Isotopes in Sediments of the Laurentian Great Lakes
As part of the larger Great Lakes Sediment Surveillance Program (GLSSP), the U.S. Geological Survey Mercury Research Laboratory (MRL) partnered with the U.S. Environmental Protection Agency and the University of Minnesota-Duluth to assess contaminant concentrations within surface sediments and sediment cores from the Laurentian Great Lakes. Sediments were assessed for mercury concentrations and me
Microplastics in the Alplaus Kill at Glenridge, NY (01355470), 2018-2019
This dataset enumerates the type, size, and color of microplastic particles collected every two weeks from the Alplaus Kill at Glenridge Road in Schenectady, NY (01355470) between November 2018 and December 2019. Ancillary data include stream discharge, sampling net dimensions, and stream velocity. Sampling and analytical methodology are described in the metadata.
Potential distribution of Japanese brome (Bromus japonicus) across the contiguous United States (October 2023)
This is a dataset containing the potential distribution of Japanese brome (Bromus japonicus). We developed habitat suitability models for Japanese brome, as suggested by Department of Interior land management agencies. We applied the modeling workflow developed in Young et al. 2020 to species not included in the original case studies. Our methodology balanced trade-offs between developing highly c
Molecular data used to test species boundaries, characterize phylogeographic patterns of genetic diversity, and guide the Endangered Species Act listing decision for a North American freshwater mussel species complex
Here we provide the molecular datasets and metadata associated with specimens used in the investigation of species boundaries and phylogeographic structure of two freshwater mussels, one common (Pleurobema sintoxia) and one being considered for protection under the Endangered Species Act (Pleurobema rubrum).
Adult mosquito and butterfly exposure to permethrin and relative risk following ULV sprays
This dataset contains data of permethrin residues on adult mosquitoes and adult butterflies following their exposure to ultra-low volume (ULV) sprays containing permethrin. The dataset also contains toxicity information for permethrin; first for adult mosquitoes and adult butterflies following their exposure to the ULV sprays, and for adult mosquitoes exposed during toxicity tests to determine med
Environmental DNA shedding rates in laboratory conditions for Cumberlandia monodonta, Actinonaias ligamentina, and Lampsilis siliquoidea.
Data describe designed environmental DNA (eDNA) experiments for the estimation of eDNA shedding rates for the spectaclecase (Cumberlandia monodonta), mucket (Actinonaias ligamentina), and fatmucket (Lampsilis siliquoidea) from water samples collected in the laboratory under differing laboratory conditions. Shedding rates were tested under variable mussel biomass, diet, and temperature. Parameters
Management summary table for INHABIT species potential distribution across the contiguous United States: additional management units
We developed habitat suitability models for invasive plant species selected by Department of Interior land management agencies. We applied the modeling workflow developed in Young et al. 2020 to species not included in the original case studies. Our methodology balanced trade-offs between developing highly customized models for a few species versus fitting non-specific and generic models for numer