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Filters: Contacts: U.S. Geological Survey, Northeast Region (X)

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We developed spatial summary (GIS) layers for a study of factors influencing the distribution of cave and karst associated fauna within the Appalachian Landscape Conservation Cooperative region, one of 22 public-private partnerships established by the United States Fish and Wildlife Service to aid in developing landscape scale solutions to conservation problems (https://lccnetwork.org/lcc/appalachian). We gathered occurrence data on cave-limited terrestrial and aquatic troglobiotic species from a variety of sources within the Appalachian LCC region covering portions of 15 states. Occurrence records were developed from the scientific literature, existing biodiversity databases, personal records of the authors, museum...
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We developed spatial summary (GIS) layers for a study of factors influencing the distribution of cave and karst associated fauna within the Appalachian Landscape Conservation Cooperative region, one of 22 public-private partnerships established by the United States Fish and Wildlife Service to aid in developing landscape scale solutions to conservation problems (https://lccnetwork.org/lcc/appalachian). We gathered occurrence data on cave-limited terrestrial and aquatic troglobiotic species from a variety of sources within the Appalachian LCC region covering portions of 15 states. Occurrence records were developed from the scientific literature, existing biodiversity databases, personal records of the authors, museum...
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We developed spatial summary (GIS) layers for a study of factors influencing the distribution of cave and karst associated fauna within the Appalachian Landscape Conservation Cooperative region, one of 22 public-private partnerships established by the United States Fish and Wildlife Service to aid in developing landscape scale solutions to conservation problems (https://lccnetwork.org/lcc/appalachian). We gathered occurrence data on cave-limited terrestrial and aquatic troglobiotic species from a variety of sources within the Appalachian LCC region covering portions of 15 states. Occurrence records were developed from the scientific literature, existing biodiversity databases, personal records of the authors, museum...
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Data from study assessing the utility of knowledgebase-leveraging of comprehensive environmental-contaminant-exposure datasets by comparing biological effects predicted on the basis of target chemical analyses with measured biological effects in corresponding split water samples.
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Forest- Data collected once using GIS prior to fish sampling. Our approach was to focus the study on smaller, headwater catchments because larger streams drained areas containing both hemlock and mixed hardwood forest, making forest-specific comparison intractable. In addition, most of these larger watersheds were impacted by humans (e.g., impoundments, agriculture, quarries) that could confound our assessment of the influence of hemlock. Even after limiting the study to headwater catchments, other possible confounding factors remained; we controlled for landscape variability (i.e., terrain and stream size) through the sampling design and we excluded others (i.e., minimum catchment area,beaver activity) through...
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This tabular data set represents monthly average Normalized Difference Vegetation Index (NDVI) Values compiled for two spatial components of the NHDPlus version 2.1 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments (CAT) and 2) reach catchments accumulated upstream through the river network (ACC and TOT). This dataset can be linked to the NHDPlus version 2.1 data suite by the unique identifier COMID. Units are 0-1, 0 being low vegetation, 1 being high vegetation. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions. Network-accumulated values are computed...
Tags: biota
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This spreadsheet contains the results of open-bore auger samples collected by the U.S. Geological Survey in Maryland and Virginia for the Federal Highways Administration Turner-Fairbanks Highway Research Center. 19 sites were selected in 14 different locations across northern Virginia and southern Maryland by FBGC scientists to drill boreholes for the development of the TFHRC’s In-situ Scour Testing Device (ISTD) and to investigate the sedimentological properties of different layers of the near-surface soil column. Each worksheet in this excel workbook contains the detailed log information for one site, including its name, gps coordinates, surface elevation, borehole depth, information about the drilling rig used...
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The data presented include concentrations of 122 organic, 23 inorganic constituents, and estrogenicity in water collected from 13 off-stream non-point source sites (natural and created wetlands) and eight on-stream point source sites (streams and impoundments) in the New Jersey Pinelands, 2017-2020. Native and non-native fish health data collected from the on-stream sites as well as native frog data collected from the off-stream sites are also included. For the on-stream point-source component, we analyzed water chemistry, hormone activity, and collected native and non-native fish from two locations upstream and one downstream from two municipal wastewater treatment plants (six total sites) and from two minimally...
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This data set contains shoreline rate of change statistics for New York State coastal wetlands. Analysis was performed using the Digital Shoreline Analysis System (DSAS), created by U.S. Geological Survey, version 5.0, an extension for ArcMap. A reference baseline was used as the originating point for orthogonal transects cast by the DSAS software. The transects intersect each polyline vector shoreline establishing intersection measurement points, which were then used to calculate the rates of change. End-point rates, calculated by dividing the distance of shoreline movement by the time elapsed between the oldest and the most recent shoreline, were generated for wetlands where fewer than three historic shorelines...
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This data release contains the U.S. salient statistics and world production data extracted from the IRON AND STEEL data sheet of the USGS Mineral Commodity Summaries 2023.
Categories: Data; Tags: United States, iron and steel
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This data release contains the U.S. salient statistics and world production data extracted from the CADMIUM data sheet of the USGS Mineral Commodity Summaries 2023.
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This data release contains the U.S. salient statistics and world production data extracted from the DIAMOND (INDUSTRIAL) data sheet of the USGS Mineral Commodity Summaries 2023.
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This data release contains the U.S. salient statistics and world production data extracted from the KYANITE data sheet of the USGS Mineral Commodity Summaries 2023.
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This data release contains the U.S. salient statistics and world production data extracted from the STRONTIUM data sheet of the USGS Mineral Commodity Summaries 2023.
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This data release contains the U.S. salient statistics and world production data extracted from the PUMICE data sheet of the USGS Mineral Commodity Summaries 2023.
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This data release contains the U.S. salient statistics and world production data extracted from the IRON ORE data sheet of the USGS Mineral Commodity Summaries 2023.
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This data release contains the U.S. salient statistics and world production data extracted from the GYPSUM data sheet of the USGS Mineral Commodity Summaries 2023.
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This tabular data set represents the percent of land cover classes from the 2019 edition of the National Land Cover databases for the years 2001, 2004, 2006, 2008, 2011, 2013, 2016 and 2019 compiled for two spatial components of the NHDPlus version 2.1 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. These databases can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data is the "National Land Cover Database (NLCD) 2019 Products (ver. 2.0, June 2021)" databases for the years 2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019 produced by the United States Geological...
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We developed spatial summary (GIS) layers for a study of factors influencing the distribution of cave and karst associated fauna within the Appalachian Landscape Conservation Cooperative region, one of 22 public-private partnerships established by the United States Fish and Wildlife Service to aid in developing landscape scale solutions to conservation problems (https://lccnetwork.org/lcc/appalachian). We gathered occurrence data on cave-limited terrestrial and aquatic troglobiotic species from a variety of sources within the Appalachian LCC region covering portions of 15 states. Occurrence records were developed from the scientific literature, existing biodiversity databases, personal records of the authors, museum...
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We developed spatial summary (GIS) layers for a study of factors influencing the distribution of cave and karst associated fauna within the Appalachian Landscape Conservation Cooperative region, one of 22 public-private partnerships established by the United States Fish and Wildlife Service to aid in developing landscape scale solutions to conservation problems (https://lccnetwork.org/lcc/appalachian). We gathered occurrence data on cave-limited terrestrial and aquatic troglobiotic species from a variety of sources within the Appalachian LCC region covering portions of 15 states. Occurrence records were developed from the scientific literature, existing biodiversity databases, personal records of the authors, museum...


map background search result map search result map Fish Population and Hemlock data in Delware Water Gap Cave and Karst Biota Modeling in the Appalachian LCC - Predicted Amphipods in sampled 20km grid cells Cave and Karst Biota Modeling in the Appalachian LCC - Observed troglobiotic fish in 20km grid cells Cave and Karst Biota Modeling in the Appalachian LCC - Predicted troglobiotic crayfish in sampled 20km grid cells Cave and Karst Biota Modeling in the Appalachian LCC - Predicted spiders in all 20km grid cells in karst Cave and Karst Biota Modeling in the Appalachian LCC - Predicted endemics in sampled 20km grid cells Chemical-Gene and Chemical-Pathway Interactions Predicted for Chemicals Detected in the USGS-USEPA National Streams Pilot Study Based on Effects Data in the Comparative Toxicogenomics Database (CTD) Rate of shoreline change statistics for New York State coastal wetlands Datasheets associated with borehole sampling of surficial sediments in Northern Virginia and Southern Maryland conducted by the U.S. Geological Survey for the Federal Highways Administration Turner-Fairbanks Research Center In Situ Scour Testing Device Organic and inorganic constituents in surface water and native and non-native fish and frog health data collected from streams, impoundments and wetlands in the New Jersey Pinelands, 2017-2020 (ver. 1.1, August 2022) Attributes for NHDPlus Version 2.1 Catchments and Modified Routing of Upstream Watersheds for the Conterminous United States: National Land Cover Database 2019 Versions for the Years 2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019 Fish Population and Hemlock data in Delware Water Gap Organic and inorganic constituents in surface water and native and non-native fish and frog health data collected from streams, impoundments and wetlands in the New Jersey Pinelands, 2017-2020 (ver. 1.1, August 2022) Datasheets associated with borehole sampling of surficial sediments in Northern Virginia and Southern Maryland conducted by the U.S. Geological Survey for the Federal Highways Administration Turner-Fairbanks Research Center In Situ Scour Testing Device Rate of shoreline change statistics for New York State coastal wetlands Cave and Karst Biota Modeling in the Appalachian LCC - Observed troglobiotic fish in 20km grid cells Cave and Karst Biota Modeling in the Appalachian LCC - Predicted troglobiotic crayfish in sampled 20km grid cells Cave and Karst Biota Modeling in the Appalachian LCC - Predicted endemics in sampled 20km grid cells Cave and Karst Biota Modeling in the Appalachian LCC - Predicted Amphipods in sampled 20km grid cells Cave and Karst Biota Modeling in the Appalachian LCC - Predicted spiders in all 20km grid cells in karst Attributes for NHDPlus Version 2.1 Catchments and Modified Routing of Upstream Watersheds for the Conterminous United States: National Land Cover Database 2019 Versions for the Years 2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019 Chemical-Gene and Chemical-Pathway Interactions Predicted for Chemicals Detected in the USGS-USEPA National Streams Pilot Study Based on Effects Data in the Comparative Toxicogenomics Database (CTD)