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The capacity of ecosystems to provide services such as carbon storage, clean water, and forest products is determined not only by variations in ecosystem properties across landscapes, but also by ecosystem dynamics over time. ForWarn is a system developed by the U.S. Forest Service to monitor vegetation change using satellite imagery for the continental United States. It provides near real-time change maps that are updated every eight days, and summaries of these data also provide long-term change maps from 2000 to the present. Based on the detection of change in vegetation productivity, the ForWarn system monitors the effects of disturbances such as wildfires, insects, diseases, drought, and other effects of weather,...
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WaSSI (Water Supply Stress Index) predicts how climate, land cover, and human population change may impact water availability and carbon sequestration at the watershed level (about the size of a county) across the lower 48 United States. WaSSI users can select and adjust temperature, precipitation, land cover, and water use factors to simulate change scenarios for any timeframe from 1961 through the year 2100. Simulation results are available as downloadable maps, graphs, and data files that users can apply to their unique information and project needs. WaSSI generates useful information for natural resource planners and managers who must make informed decisions about water supplies and related ecosystem services...
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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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A mineral resource assessment was performed by the U.S. Geological Survey (USGS) to assess the potential of undiscovered skarn-hosted tungsten resources in the Northern Rocky Mountain region of eastern Idaho and western Montana. This region has seen moderate tungsten trioxide (WO3) production in the past from a variety of mineralization styles including skarn, vein and replacement, and wolframite-quartz veins. The geology of the area is dominated by large plutons of Cretaceous to Tertiary age, emplaced into a belt of sedimentary rock ranging from Mesoproterozoic to Permian age, and affected by tectonism related to the Sevier and later Laramide orogenies. Known tungsten (W) skarn mineral sites are associated with...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Ashton, Bald Mountain, Beaverhead County, Bitterroot Range, Boise County, All tags...
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Karst hydrologic systems are important resources in the state of Tennessee both as drinking water resources and as centers for possible biological diversity. These systems are susceptible to contamination due to the inherent connectivity between surface water and groundwater systems in karst systems. A partnership between the U.S. Geological Survey (USGS) and Tennessee Department of Conservation (TDEC) was formed to investigate karst spring systems across the state utilizing fluorescent groundwater tracing, particularly in areas where these resources may be used as drinking water sources. In fall 2021, USGS and TDEC staff identified possible vulnerabilities or complexities that may exist within karst spring systems...
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Karst hydrologic systems are important resources in the state of Tennessee both as drinking water resources and as centers for possible biological diversity. These systems are susceptible to contamination due to the inherent connectivity between surface water and groundwater systems in karst systems. A partnership between the U.S. Geological Survey (USGS) and Tennessee Department of Conservation (TDEC) was formed to investigate karst spring systems across the state utilizing fluorescent groundwater tracing, particularly in areas where these resources may be used as drinking water sources. In fall 2021, USGS and TDEC staff identified possible vulnerabilities or complexities that may exist within karst spring systems...
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The download for this dataset includes TNC’s full Northeastern Aquatic Habitat Classification System: stream size, stream temperature, stream gradient, stream geology, lakes and catchments. This dataset represents the results (9/30/2008) of the Northeastern Aquatic Habitat Classification System (NAHCS) GIS map for streams and rivers. This classification focused on mapping a stream habitat types across 13 northeastern states (ME, NH, VT, MA, CT, RI, NY, NJ, PA, MD, DC, DE, VA, WV). Stream and river centerlines were extracted from the USGS National Hydrography Dataset Plus (NH-Plus) 2006 1:100,000 data. These reaches were attributed and placed into classes representing their biopysical setting in terms of stream...
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This dataset is a component of a complete package of products from the Connect the Connecticut project. Connect the Connecticut is a collaborative effort to identify shared priorities for conserving the Connecticut River Watershed for future generations, considering the value of fish and wildlife species and the natural ecosystems they inhabit. Click here to download the full data package, including all documentation.This dataset depicts the potential capability of the landscape throughout the CT River Watershed to provide habitat for Eastern Meadowlark (Sturnella magna) based on environmental conditions existing in approximately 2010. Landscape capability integrates factors influencing climate suitability, habitat...
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To evaluate the potential effects of climate change on wildlife habitat and ecological integrity in the northeastern United States from 2010 to 2080, a University of Massachusetts Amherst team derived a set of climate projections at a fine spatial resolution for the entire Northeast. The projections are based upon publicly available climate models.This dataset represents the growing season degree days (number of days in which the average temperature is > 10 degrees C) using one of two IPCC greenhouse gas concentration scenarios (RCP8.5). The dataset is intended to represent typical growing season degree days for the year 2060 rather than the actual growing season degree days. MAP UNITS ARE THE SUM OF DEGREES THAT...
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This dataset was last updated February 2017. This version incorporates a revised version of the land cover classification, Terrestrial and Aquatic Habitat Map (DSLland), Version 3.1 developed by the University of Massachusetts, which included the addition of The Nature Conservancy’s Northeast lakes and ponds classification.The Red-shouldered Hawk (Buteo lineatus) is a medium-sized raptor that feeds on small mammals, frogs, snakes, and other small prey. It has been chosen to represent the habitat needs of other species of wildlife that also use mature forest, especially in floodplains or with wetlands, including species with relatively large home ranges. This dataset depicts the potential capability of the landscape...
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To evaluate the potential effects of climate change on wildlife habitat and ecological integrity in the northeastern United States from 2010 to 2080, a University of Massachusetts Amherst team derived a set of climate projections at a fine spatial resolution for the entire Northeast. The projections are based upon publicly available climate models.This dataset represents the mean of the minimum air temperature (degrees C) for December, January, and February using one of two IPCC greenhouse gas concentration scenarios (RCP4.5). The dataset is intended to represent typical winter temperatures in the decade centered on 2080 rather than the actual temperatures during 2080. MAP UNITS ARE TEMP. IN DEGREES C MULTIPLIED...
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To evaluate the potential effects of climate change on wildlife habitat and ecological integrity in the northeastern United States from 2010 to 2080, a University of Massachusetts Amherst team derived a set of climate projections at a fine spatial resolution for the entire Northeast. The projections are based upon publicly available climate models.This dataset represents the mean of the maximum air temperature (degrees C) for June, July, and August for the year 2070 using one of two IPCC greenhouse gas concentration scenarios (RCP8.5). The dataset is intended to represent typical summer temperatures in the decade centered on 2070. MAP UNITS ARE TEMP. IN DEGREES C MULTIPLIED BY 100 (which allows for more efficient...
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To evaluate the potential effects of climate change on wildlife habitat and ecological integrity in the northeastern United States from 2010 to 2080, a University of Massachusetts Amherst team derived a set of climate projections at a fine spatial resolution for the entire Northeast. The projections are based upon publicly available climate models.This dataset represents the growing season degree days (number of days in which the average temperature is > 10 degrees C) using one of two IPCC greenhouse gas concentration scenarios (RCP4.5). The dataset is intended to represent typical growing season degree days for the year 2080 rather than the actual growing season degree days. MAP UNITS ARE THE SUM OF DEGREES THAT...
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To evaluate the potential effects of climate change on wildlife habitat and ecological integrity in the northeastern United States from 2010 to 2080, a University of Massachusetts Amherst team derived a set of climate projections at a fine spatial resolution for the entire Northeast. The projections are based upon publicly available climate models.This dataset represents the mean of the minimum air temperature (degrees C) for December, January, and February using one of two IPCC greenhouse gas concentration scenarios (RCP4.5). The dataset is intended to represent typical winter temperatures in the decade centered on 2060 rather than the actual temperatures during 2060. MAP UNITS ARE TEMP. IN DEGREES C MULTIPLIED...
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Northeast Region Marsh Migration is one of a suite of products from the Nature’s Network project. Based on sea level rise (SLR) analysis by NOAA, this dataset depicts potential marsh migration zones at various sea level rise scenarios from 0-6’. Identification of suitable uplands adjacent to tidal wetlands is based on topography, habitat type, land use, and development, and can be used for facilitating marsh migration through land protection and/or management. The NOAA Coastal Change Analysis Program (CCAP) mapped the initial (current) distribution of potential marshes and and other coastal land cover types. The Detailed Method for Mapping Sea Level Rise Marsh Migration provides the full methodology for the data...
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NOTE: Two data download links are provided. The first includes the data described below as a geographic point layer and as a .csv file. The second link is a data package containing: the annual probability of observing one individual, the annual probability of encountering a large flock, and the monthly probability of observing one individual, for the full set of 24 species (in .csv format), and the associated report “Mapping the distribution, abundance and risk assessment of marine birds in the Northwest Atlantic.” To improve display of this data on Data Basin the point data was converted to a raster grid. This map depicts the mean predicted probability of observing at least one individual Wilson's Storm-petrel...
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NOTE: Two data download links are provided. The first includes the data described below as a geographic point layer and as a .csv file. The second link is a data package containing: the annual probability of observing one individual, the annual probability of encountering a large flock, and the monthly probability of observing one individual, for the full set of 24 species (in .csv format), and the associated report “Mapping the distribution, abundance and risk assessment of marine birds in the Northwest Atlantic.” To improve display of this data on Data Basin the point data was converted to a raster grid. This map depicts the mean predicted probability of observing at least one individual Common Eider (Somateria...
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NOTE: Two data download links are provided. The first includes the data described below as a geographic point layer and as a .csv file. The second link is a data package containing: the annual probability of observing one individual, the annual probability of encountering a large flock, and the monthly probability of observing one individual, for the full set of 24 species (in .csv format), and the associated report “Mapping the distribution, abundance and risk assessment of marine birds in the Northwest Atlantic.” To improve display of this data on Data Basin the point data was converted to a raster grid. This map depicts the mean predicted probability of observing at least one individual Black Scoter (Melanitta...
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This dataset was last updated 02/2017. This version includes a new tidal restrictions metric that assesses the effect of undersized culverts and bridges on tidal regime.The previous version (3.1) was updated on 05/2016 by incorporating a revised version of the land cover classification, DSLland Version 3.1, developed by UMass, which included the addition of The Nature Conservancy’s Northeast lakes and ponds classification. This dataset depicts the ecological integrity of locations (represented by 30 m grid cells) throughout the northeastern United States based on environmental conditions existing in approximately 2010. Ecological integrity is defined as the ability of an area (e.g., local site or landscape) to...


map background search result map search result map Northeastern Aquatic Habitat Classification System, Stream Gradient Mean Maximum Summer Temperature (deg. C) for Northeast, Projected for 2070, RCP8.5, Ensemble GCM Results Mean Minimum Winter Temperature (deg. C) for Northeast, Projected for 2060, RCP4.5, Ensemble GCM Results Mean Minimum Winter Temperature (deg. C) for Northeast, Projected for 2080, RCP4.5, Ensemble GCM Results Growing Season Degree Days for Northeast, Projected for 2080, RCP 4.5, Ensemble GCM Results Growing Season Degree Days for Northeast, Projected for 2060, RCP 8.5, Ensemble GCM Results Predicted Annual Probability of Observing at least One Black Scoter Predicted Annual Probability of Observing at least One Common Eider Predicted Annual Probability of Observing at least One Wilson's Storm-petrel Landscape Capability for Eastern Meadowlark, CT River Watershed Landscape Capability for Red-shouldered Hawk, Version 3.0, Northeast U.S. WASSI Future Change in Water Supply Stress Index 1991-2010 ForWarn Mean Summer National Difference Vegetation Index 2009-2013 Amount of inflow stored in upstream dams-rivers Index of Ecological Integrity, Stratified by Ecosystem, Region-wide, Version 3.2, Northeast U.S. Marsh Migration Zones, Northeast U.S. Rate of shoreline change statistics for New York State coastal wetlands Spatial data associated with tungsten skarn resource assessment of the Northern Rocky Mountains, Montana and Idaho Cowan, Tennessee Karst Groundwater Dye Tracing Water Year 2022 Woodbury, Tennessee Karst Groundwater Dye Tracing Water Year 2022 Rate of shoreline change statistics for New York State coastal wetlands Landscape Capability for Eastern Meadowlark, CT River Watershed Spatial data associated with tungsten skarn resource assessment of the Northern Rocky Mountains, Montana and Idaho Predicted Annual Probability of Observing at least One Black Scoter Predicted Annual Probability of Observing at least One Common Eider Predicted Annual Probability of Observing at least One Wilson's Storm-petrel Marsh Migration Zones, Northeast U.S. WASSI Future Change in Water Supply Stress Index 1991-2010 Amount of inflow stored in upstream dams-rivers ForWarn Mean Summer National Difference Vegetation Index 2009-2013 Northeastern Aquatic Habitat Classification System, Stream Gradient Landscape Capability for Red-shouldered Hawk, Version 3.0, Northeast U.S. Index of Ecological Integrity, Stratified by Ecosystem, Region-wide, Version 3.2, Northeast U.S. Mean Maximum Summer Temperature (deg. C) for Northeast, Projected for 2070, RCP8.5, Ensemble GCM Results Mean Minimum Winter Temperature (deg. C) for Northeast, Projected for 2060, RCP4.5, Ensemble GCM Results Mean Minimum Winter Temperature (deg. C) for Northeast, Projected for 2080, RCP4.5, Ensemble GCM Results Growing Season Degree Days for Northeast, Projected for 2080, RCP 4.5, Ensemble GCM Results Growing Season Degree Days for Northeast, Projected for 2060, RCP 8.5, Ensemble GCM Results