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This dataset includes spreadsheets with statistical data (mean and median absolute error) used in deciding which interpolation method best fit the corresponding dataset. All statistical data were paired with a visual inspection of the interpolation prior to determining the final raster product. All spreadsheets were generated using an automated python script (Jahn, 2020).
This data release contains digital hydrogeologic datasets compiled for eight valley-fill aquifer systems in upstate New York. The data sets include input data necessary to create and interpolate the hydrogeologic framework of the aquifers and surrounding till-covered uplands. Input data is provided as point feature classes and georeferenced files of previously published reports along with the digitized data as line or polygon feature classes. Feature class datasets are provided for convenience and may contain subtle differences to shapefiles due to inherent differences in file types. The data release is composed of eight child items, one for each valley-fill area. Each child item contains the data pertaining...
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Even when faced with uncertainty about future climate conditions, resource managers are tasked with making planning and adaptation decisions that impact important natural and cultural resources. Species distribution models are widely used by both researchers and managers to estimate species responses to climate change. These models combine data on environmental variables (e.g., temperature, precipitation) with field samples of a species’ presence, absence, and/or abundance to project and visualize potential habitat of the species across space and time. However, species distribution modeling software previously developed and supported by USGS (the Software for Assisted Habitat Modeling [SAHM] package for VisTrails)...
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Some areas of the U.S. Affiliated Pacific Islands (USAPI) are experiencing a decline in precipitation and streamflow and an increase in the number of severe droughts. These changes can have wide-reaching implications, affecting the water supply, native vegetation and wildlife, wildfire patterns, and the spread of invasive species. As ecosystems become altered by invasive species and as particularly hotter, more variable climates emerge, it is critical that scientists produce locally relevant, timely, and actionable science products for managers to prepare for and cope with the impacts of drought. Simultaneously, it is important that managers are able to both access this information and shape the types of data products...
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Digital hydrogeologic datasets were developed for the Ellicottville study area in upstate New York in cooperation with the New York State Department of Environmental Conservation. These datasets define the hydrogeologic framework of the valley-fill aquifer and surrounding till-covered uplands within the study area. Datasets include: bedrock elevation raster, LIDAR minimum elevation raster, valley-fill extent polygon, and surficial geology polygons. Elevation layers were interpolated at 125-foot discretization to match what was done in previous work.
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This dataset includes "smoothing points" used in the creation of the Ellicottville hydrogeologic framework. Smoothing points were manually added and were used to enhance interpolated layers using geologic assumptions and include: valley edge points, centerline bedrock points, minimum depth bedrock points, and upland bedrock SSURGO points.
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This dataset includes "smoothing points" used in the creation of the Olean hydrogeologic framework. Smoothing points were manually added and were used to enhance interpolated layers using geologic assumptions and include: smoothing points for the upper and lower lacustrine confining surfaces, valley edge points, centerline bedrock points, bedrock contour points, and bedrock SSURGO points used in both the valley and upland interpolations.
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The US Virgin Islands are vulnerable to sea level rise, intense storms, and unpredictable rainfall brought by climate change. These changes influence the health of freshwater streams (known as “ghuts”), sedimentation, erosion and water quality (“grit”), as well as aquatic communities and ecosystems (“gills”) that are unique to the islands and important for indigenous peoples’ heritage, local fishermen, tourism, and more. However, the US Virgin Islands have limited water resource data, and the data that exist are scattered across sources, creating an obstacle for adapting water management strategies. Preparing for and responding to climate change requires understanding the threats, priorities, solutions, and funding...
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In 2020, Governor Edwards of Louisiana issued two executive orders: establishing the Climate Initiatives Task Force to develop the state’s first ever Climate Action Plan to reach net zero greenhouse gas emissions by 2050 and to enhance coastal resilience in the state. Louisiana’s coastal wetlands and natural lands are of vital importance not just for hurricane protection, health and wellbeing, and natural resources, but also for carbon sequestration (i.e. capturing and storage of carbon from the atmosphere). Enhancing natural carbon sinks (i.e. ecosystem that stores more carbon than it releases) to offset greenhouse gas emissions is a critical step for Louisiana to achieve its net zero goals. Coastal wetlands have...
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Digital hydrogeologic datasets were developed for the Cincinnatus study area in upstate New York in cooperation with the New York State Department of Environmental Conservation. These datasets define the hydrogeologic framework of the valley-fill aquifer and surrounding till-covered uplands within the study area. Datasets include: bedrock elevation raster, lacustrine silt and clay top and bottom elevation rasters, lidar minimum elevation raster, lacustrine extent polygon, valley-fill extent polygon, and surficial geology polygons. An alternate geologic interpretation was considered for modeling purposes. An alternate lacustrine extent and top and bottom elevation rasters are included within this data release. Elevation...
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This dataset includes "smoothing points" used in the creation of the Greene hydrogeologic framework. Smoothing points were manually added by the project team and were used to enhance interpolated layers using geologic assumptions and include: valley edge points, bedrock points derived from cross sections, centerline bedrock points (and where applicable L1 and L2 points), and upland bedrock SURGO points.
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This dataset includes well logs used in the creation of the Cincinnatus hydrogeologic framework. Well logs were used from multiple sources (DEC, DOT, NWIS) and were a crucial component in generating hydrogeologic layer elevations and thicknesses. Well logs are available in their original form on GeoLog Locator (https://webapps.usgs.gov/GeoLogLocator/#!/) and provided here in the digitized form (shapefiles and feature classes), which were used in the generation of the hydrogeologic framework.
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This dataset includes well logs used in the creation of the Jamestown hydrogeologic framework. Well logs were used from multiple sources (DEC, DOT, NWIS, ESOGIS, and recently digitized archived material) and were a crucial component in generating hydrogeologic layer elevations and thicknesses. Well logs are available in their original form on GeoLog Locator (https://webapps.usgs.gov/GeoLogLocator/#!/) and provided here in the digitized form (shapefiles and feature classes), which were used in the generation of the hydrogeologic framework.
The town of Olean is located in Cattaraugus County, New York. Previous USGS reports here include Water- Resource Investigations Report 87-4043 (Yager and Bergeron, 1998), Water- Resource Investigations Report 85-4082 (Bergeron, 1987), and Water- Resource Investigations Report 85-4157 (Zarriello and Reynolds, 1987). The five child pages below break the data up into georeferenced and digitized previous report data, interpreted geologic information, well logs, supplemental point data, and interpolation statistics.
map background search result map search result map Climate Change, Variability, and Drought in the U.S.-Affiliated Pacific Islands – Working with Managers to Mitigate the Impacts of Drought and Wildfire Cincinnatus study area hydrogeologic framework layers Well Logs for the Cincinnatus sourcewater study area in upstate New York Supplementary Points for the Greene sourcewater study area in upstate New York Interpolated hydrogeologic framework and digitized datasets for upstate New York study areas: Olean study area Well Logs for the Jamestown sourcewater study area in upstate New York Supplementary Points for the Ellicottville sourcewater study area in upstate New York Ellicottville study area hydrogeologic framework layers Supplementary Points for the Olean sourcewater study area in upstate New York Interpolation statistics for the Cincinnatus sourcewater study area in upstate New York Developing A New Software Package to Enhance Species Distribution Model Functionality Developing a Decision Support Tool to Inform Louisiana’s Climate Change Adaptation Strategy Ghuts, Grit, and Gills: Aquatic Data Synthesis for Climate Adaptation in the US Virgin Islands Cincinnatus study area hydrogeologic framework layers Interpolation statistics for the Cincinnatus sourcewater study area in upstate New York Supplementary Points for the Ellicottville sourcewater study area in upstate New York Ellicottville study area hydrogeologic framework layers Well Logs for the Cincinnatus sourcewater study area in upstate New York Well Logs for the Jamestown sourcewater study area in upstate New York Developing a Decision Support Tool to Inform Louisiana’s Climate Change Adaptation Strategy Climate Change, Variability, and Drought in the U.S.-Affiliated Pacific Islands – Working with Managers to Mitigate the Impacts of Drought and Wildfire Developing A New Software Package to Enhance Species Distribution Model Functionality