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Data are time series of substrate grain size, remotely sensed water column turbidity, and measures of abundance (e.g., density, percent cover) of the nearshore subtidal (3-17 m depth) benthic community (vegetation, invertebrates, and fish) collected before (2008-2011) and during dam removal (2012-2014).
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This Benthic Invertebrate Community Analysis dataset, a conceptual subgroup of the Lake Erie Ecological Investigations (LEEI) dataset, focuses on the benthic invertebrates sampled at Areas of Concern (AOCs) on Lake Erie. Per the Quality Assurance Project Plan (QAPP), the invertebrate samples were taken from sediments remaining from the sediment analysis. Identification of the invertebrates was completed by the same invertebrate taxonomist for both the 1998-2000 evaluation and 1986-87 historical evaluation (Smith et al. 1994) for increased consistency. Oligochaetes were identified to species if possible, chironomids were identified to genus, as adult specimens are needed for specific identification, and other taxa...
Categories: Data; Tags: AOCs, Ameiurus nebulosus, Ashtabula, Ashtabula River, Black River, All tags...
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The data set consists of data collected in 1995, 1996, and 1997 in wetlands in the Prairie Pothole Region of North Dakota and South Dakota. The data were summarized and used in the analysis for two publications in peer-reviewed journals. The data consists of one data set that includes bird abundance and richness data, wetland class (temporary, seasonal, semipermanent, permanent, alkali), and wetland type (private or federal). In conjunction with surveys of wetland birds, the following wetland variables also were recorded: wetland size, date, local-level habitat variables (percent coverage of open water, emergent vegetation, wet meadow, and shoreline/mudflat), and landscape-level habitat variables (percent cover...
Categories: Data; Tags: Aquatic Biology, Aquatic birds, Arrowwood Wetland Management District, Audubon Wetland Management District, Biodiversity, All tags...
Data from metabarcoding assays to detect a suite of mussel species using mitochondrial DNA regions of the cytochrome c oxidase subunit I (COI) and NADH dehydrogenase subunit (ND1) genes sequences.
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OBIS-USA brings together marine biological occurrence data – recorded observations of identifiable marine species at a known time and place, collected primarily from U.S. Waters or with U.S. funding. Coordinated by the Science Analytics and Synthesis (SAS) Program of the United States Geological Survey (USGS), OBIS-USA, strives to meet national data integration and dissemination needs for marine data about organisms and ecosystems. OBIS-USA is part of an international data sharing network (Ocean Biodiversity Information System, OBIS) coordinated by the Intergovernmental Oceanographic Commission, of UNESCO (United Nations Educational, Science and Cultural Organization) International Oceanographic Data and Information...
Tags: Arctic Ocean, Atlantic Ocean, Bay of Fundy, Beaufort Sea, Bering Sea, All tags...
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These data consist of larval fish and water profile data collected with a nearshore to offshore transect approach at 9 transects throughout Lake Huron. Larval fish and their stomach contents were identified, enumerated, and measured (if possible) using a dissecting microscope. These data were used to calculate densities of potential fish prey items (what is available in the environment) and compare that to what the fishes ate for selectivity analysis. Larval fish age estimation based on daily growth rings from otoliths was also conducted. These data are in raw form. The water profile data were collected using a bathythermograph and bin-averaged at the 1 m level. Environmental prey data are available at the following...
Distributional patterns and species diversity of benthic insects in an alpine stream in Gunnison County, Colorado, USA were investigated on several levels of spatial scale, from faunal replacement over 1,000 vertical m to microdistribution within the stony substratum. Ecotones including zonation in terrestrial vegetation and in trout distribution did not appear to affect faunal replacement. Competition among congeners accounted for 7-30% of the cases, while in the majority of species, faunal replacement appeared to be associated with gradual changes in the physical gradient. Trout zonation may affect total numbers of insects, however, as the trout-free headwaters had two to six times higher insect densities. Microdistribution...
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This data set consists of data collected during 2005-2007, 2010, and 2015 at Neal Smith National Wildlife Refuge in Iowa, USA that were used in the analysis in support of the article titled "Toward improving pollinator habitat: Reconstructing prairies with high forb diversity," which has been submitted to Natural Areas Journal. We compared pollinator habitat, in terms of planted forb richness, cover, and phenology, cover of planted grasses, and persistence of exotic species 10-years post-planting of reconstructions with 58 species (extra-high), 34 species (high), 20 species (medium) and 10 species (low) planted at the same time using the same fields, methods, and overall seeding rate. Twelve replicates of three...
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This dataset includes benthic algae community composition data from three sites in the upper White River Basin, Colorado, in 2022. Benthic algae were identified as genus or species, and biomass and biovolume were provided for taxa.U.S. Geological Survey completed data collection in upper White River Basin in cooperation with the White River Conservation District. Data collection was funded by the U.S. Geological Survey Water Mission Area as part of the Next Generation Water Observing System Upper Colorado River project.
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Longstanding taxonomic uncertainties have limited conservation efforts for species currently assigned to the freshwater mussel genus Alasmidonta. Here, we present mitochondrial and nuclear DNA sequence data needed to assess the genus- and species-level taxonomy of Alasmidonta. These molecular data allowed us to test whether cryptic diversity exists within Alasmidonta and whether A. triangulata and A. arcula are distinct species. Details associated with specimens and DNA sequence data are provided here to provide a foundation for future research on Alasmidonta and give conservation agencies greater confidence in the findings of our work.
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This portion of the data release presents fish abundance data from samples collected in the Elwha River estuary, Washington, in 2006, 2007, 2013, and 2014 (no associated USGS Field Activities numbers because data were collected predominantly by biologists from the Lower Elwha Klallam Tribe). We used the Puget Sound beach seining protocol (Simenstad and others, 1991) to sample fish populations in the Elwha River estuary complex. The beach seine was 38 m long x 2 m deep, with a 2 m x 2 m bag in the center of the net; mesh size was 3.18 mm, 6.35 mm, and 31.75 mm, for the bag, center panel, and wings, respectively. The seine net was deployed from bank to bank by a small skiff and then pulled on shore. The number of...
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This portion of the data release presents terrestrial invertebrate abundance data from samples collected in emergent and shrub vegetation along the edge of the Elwha River estuary, Washington, in 2007 and 2013 (no associated USGS Field Activities numbers because data were collected predominantly by biologists from the Lower Elwha Klallam Tribe). We deployed terrestrial insect fallout traps at ten locations in the east estuary, five replicates each in shrub and emergent (littoral) vegetation habitats. Clear, rectangular traps (2,400 cm2 in 2007 and 3,526 cm2 in 2013) were filled with 5 cm of filtered soapy water and deployed for 72 hours. Invertebrate counts from 2013 were standardized to the 2007 bin size to account...
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These are genetic data collected from replicated samples of 21 Enteroctopus (E. dofleini or a cryptic lineage) in Prince William Sound Alaska to evaluate tissue type, DNA extraction method, and time until analyses are completed on data reliability. Data collected from all samples include two microsatellites identified as possible lineage indicators, and nine microsatellite loci previously identified as polymorphic in both lineages. DNA sequence data from 528 bp of the octopine dehydrogenase (OCDE) gene were also collected.
The diversity of forest stands may be affected by landscape fragmentation during periods of climatic change. A modified version of the Image model of the dynamic processes of establishment, growth, and death of forest trees is used in a spatially explicit framework to elucidate differences in the effects of both spatial structure and spatial processes. In cases with and without climatic change, the effects of including random or structured fragmentation and successively lower dispersal probabilities (increased chance of long-distance dispersal) are examined in simulation experiments. The exclusion of very low dispersal probability (p < 0.001) has an important effect on species richness. Barriers and random fragmentation...
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This dataset includes benthic algae community composition data in the Colorado River near Cameo, Colorado, U.S. Geological Survey (USGS) site number 09095500, from 2022 to 2023, and from three sites in the upper White River Basin, Colorado, in 2022. Taxonomic classification of algae species is not known well in theses rivers, and this study was conducted to record different algae species present in each river system. Benthic algae were typically identified as genus or species, and biomass and biovolume were provided for taxa. The U.S. Geological Survey completed data collection in upper White River Basin in cooperation with the White River Conservation District, and the Colorado River data collection was funded...
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This dataset includes benthic algae community composition data in the Colorado River near Cameo, Colorado, from 2022-23. Benthic algae were identified as genus or species, and biomass and biovolume were provided for taxa. Data collection was funded by the U.S. Geological Survey Water Mission Area as part of the Next Generation Water Observing System Upper Colorado River project.
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This Sediment Analysis dataset, a conceptual subgroup of the Lake Erie Ecological Investigations (LEEI) dataset, focuses on the sediments sampled at Areas of Concern (AOCs) on Lake Erie. Per the Quality Assurance Project Plan (QAPP), sediment collections were a composite of at least five randomly selected samples collected from each site. Per an internal summary report, sediment samples were collected using a stainless steel Eckman dredge. Analytical methods and QA/QC were directed by the Patuxent Analytical Control Facility (PACF) of the US Fish and Wildlife Service. Per Dora Passino-Reader, the Geochemical & Environmental Research Group at Texas A&M University, College Station performed the analytical chemistry...
Categories: Data; Tags: AOCs, Ameiurus nebulosus, Ashtabula, Ashtabula River, Black River, All tags...
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Management of transportation networks is affected by, and has effects on, natural and cultural resources through direct and indirect interactions. Until recently, the availability of such spatially explicit information has been limited; however, the data released here to the public will prove valuable for comparing existing networks and planning options with respect to potential impact to, or from, environmental factors across broad areas, for example, States and Agency Planning Regions. Integrated network and resource analyses can provide insights into potential construction and maintenance costs as well as safety risks and environmental impacts during project planning and assessment. A cooperative project was...
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The data set consists of 12 input data rasters that cover San Diego County, California. These input rasters represent criteria used in a Pareto ranking algorithm in the manuscript. These include three rasters related to fire threats, three rasters related to habitat fragmentation threats, four rasters related to species biodiversity, and two rasters related to genetic biodiversity. (see the PLOS ONE paper for details). These data support the following publication: Tracey JA, Rochester CJ, Hathaway SA, Preston KL, Syphard AD, Vandergast AG, et al. (2018) Prioritizing conserved areas threatened by wildfire and fragmentation for monitoring and management. PLoS ONE 13(9): e0200203. https://doi.org/10.1371/journal.pone.0200203
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These data were collected by the Grand Canyon Monitoring and Research Center (GCMRC) to support riparian vegetation monitoring along the Colorado River between Glen Canyon Dam and the full pool level of Lake Mead. The objectives of the GCMRC riparian vegetation monitoring program are to annually measure and summarize the status (composition and cover) of native and non-native vascular plant species within the riparian zone of the Colorado River between Glen Canyon Dam and Lake Mead, assess change in the vegetation composition and cover in the riparian zone, as related to geomorphic setting and dam operations, particularly flow regime, and collect data in a manner that can be used by multiple stakeholders and is...
Tags: Arizona, Botany, Colorado River, Ecology, Geography, All tags...


map background search result map search result map Compilation and Assessment of Resource Values and Hazards to Inform Transportation and Associated Land-use Planning Fish abundance in the Elwha River estuary, Washington, from 2006 to 2014 Terrestrial invertebrate abundance in the Elwha River estuary, Washington, in 2007 and 2013. Data collected in 2008-2014 to assess nearshore subtidal community responses to increased sediment load during removal of the Elwha River dams, Washington State, USA Enteroctopus Sampling Effects on Genetic Data, Prince William Sound, Alaska, 2012-2015 Wetland birds of the Prairie Pothole Region of North and South Dakota, 1995-1997, data release Lake Erie Ecological Investigations 1980-2000: Benthic Invertebrate Community Analysis Lake Erie Ecological Investigations 1980-2000: Sediment Analysis Raster data files for “Prioritizing conserved areas threatened by wildfire for monitoring and management." High forb diversity prairie reconstruction at Neal Smith NWR 2005-2015 Metabarcoding data from freshwater mussel eDNA collected in Clinch River, Virginia 2017 Riparian vegetation data downstream of Glen Canyon Dam in Glen Canyon National Recreation Area and Grand Canyon National Park, AZ from 2014 to 2019 Molecular resources for investigating relationships among freshwater mussels (Bivalvia: Unionoida) with a focus on the genus Alasmidonta Larval fish and water profile data from Lake Huron in 2017 Benthic algae community composition data from the Colorado River Basin, Colorado, from 2022-23 Benthic algae community composition in the Colorado River near Cameo, Colorado, from 2022-23 Benthic algae community composition in the upper White River Basin, Colorado, 2022 Terrestrial invertebrate abundance in the Elwha River estuary, Washington, in 2007 and 2013. Fish abundance in the Elwha River estuary, Washington, from 2006 to 2014 Benthic algae community composition in the Colorado River near Cameo, Colorado, from 2022-23 High forb diversity prairie reconstruction at Neal Smith NWR 2005-2015 Benthic algae community composition in the upper White River Basin, Colorado, 2022 Metabarcoding data from freshwater mussel eDNA collected in Clinch River, Virginia 2017 Raster data files for “Prioritizing conserved areas threatened by wildfire for monitoring and management." Riparian vegetation data downstream of Glen Canyon Dam in Glen Canyon National Recreation Area and Grand Canyon National Park, AZ from 2014 to 2019 Benthic algae community composition data from the Colorado River Basin, Colorado, from 2022-23 Enteroctopus Sampling Effects on Genetic Data, Prince William Sound, Alaska, 2012-2015 Lake Erie Ecological Investigations 1980-2000: Benthic Invertebrate Community Analysis Lake Erie Ecological Investigations 1980-2000: Sediment Analysis Larval fish and water profile data from Lake Huron in 2017 Wetland birds of the Prairie Pothole Region of North and South Dakota, 1995-1997, data release Molecular resources for investigating relationships among freshwater mussels (Bivalvia: Unionoida) with a focus on the genus Alasmidonta Compilation and Assessment of Resource Values and Hazards to Inform Transportation and Associated Land-use Planning