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Digital hydrogeologic datasets were developed for the Rondout-Neversink 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. Elevation layers were interpolated at 125-foot discretization to match the model grid cell size.
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This dataset includes well logs used in the creation of the Olean 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.
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This dataset includes "smoothing points" used in the creation of the Jamestown 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, and upland bedrock SSURGO points.
The town of Greene is located in Chenango County, New York. Previous USGS reports here include Open-File Report 2003-242 (Hetcher and others, 2003), and Scientific Investigations Map 2914 (Hetcher-Aguila and Miller, 2005). 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.
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Inventories of landslides and liquefaction triggered by major earthquakes are key research tools that can be used to develop and test hazard models. To eliminate redundant effort, we created a centralized and interactive repository of ground failure inventories that currently hosts 32 inventories generated by USGS and non-USGS authors and designed a pipeline for adding more as they become available. The repository consists of (1) a ScienceBase community page where the data are available for download and (2) an accompanying web application that allows users to browse and visualize the available datasets. We anticipate that easier access to these key datasets will accelerate progress in earthquake-triggered ground...
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Deep learning is a computer analysis technique inspired by the human brain’s ability to learn. It involves several layers of artificial neural networks to learn and subsequently recognize patterns in data, forming the basis of many state-of-the-art applications from self-driving cars to drug discovery and cancer detection. Deep neural networks are capable of learning many levels of abstraction, and thus outperform many other types of automated classification algorithms. This project developed software tools, resources, and two training workshops that will allow USGS scientists to apply deep learning to remotely sensed imagery and to better understand natural hazards and habitats across the Nation. The tools and...
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The Gulf of Alaska is one of the most productive marine ecosystems on Earth, supporting salmon fisheries that alone provide nearly $1 billion per year in economic benefits to Southeast Alaska. Glaciers are central to many of the area’s natural processes and economic activities, but the rates of glacier loss in Alaska are among the highest on Earth, with a 26-36 percent reduction in total volume expected by the end of the century. This project brought together scientists and managers at a workshop to synthesize the impacts of glacier change on the region’s coastal ecosystems and to determine related research and monitoring needs. Collected knowledge shows that melting glaciers are expected to have cascading effects...
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Throughout Alaska, land managers and rural communities are faced with developing climate adaptation strategies to prepare for changes in landscapes, ecosystems and terrestrial habitats and their associated resources and services. One of the greatest challenges for land use managers and stakeholders in Alaska is the discovery and accessibility of relevant scientific information and data. The effective dissemination and communication of science relies on improving access for stakeholders to discover research, management plans, and data within their geographic area of interest. To respond to this need, the Northwest Boreal Landscape Conservation Cooperative (NWBLCC) has launched the Northwest Boreal Science and Management...
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This child item dataset contains a single horizontal-to-vertical spectral ratio (HVSR) measurement from Delaware County, New York, DHVSR8. Raw and processed HVSR data for this HVSR measurement are included in a zipped directory named by the measurement site identifier. The HVSR data-collection sites are designated by a county sequential numbering system (DHVSR8, etc. where "D" indicates Delaware County).
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Northeastern boreal forests are an important habitat type for many wildlife species, including migratory birds and moose. These animals play vital roles in the boreal forest ecosystem, are a source of pleasure for bird and wildlife watchers, and contribute to tourism revenue for many communities. However, moose and migratory birds are thought to be particularly vulnerable to the impacts of climate change. For example, in New York’s Adirondack Park system, five species of boreal birds have shown occupancy declines of 15% or more. Meanwhile, moose are threatened by winter ticks that thrive in warmer climates and spread disease. A 2018 New York Department of Environmental Conservation (NYDEC) report found that there...
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Changing climate conditions such as increasing droughts, floods, and wildfires, hotter temperatures, declining snowpacks, and changes in the timing of seasonal events are already having an impact on wildlife and their habitats. In order to make forward-looking management decisions that consider ongoing and future projected changes in climate, managers require access to climate information that can be easily integrated into the planning process. Co-production, a process whereby scientists work closely with managers to identify and fill knowledge gaps, is an effective means of ensuring that science results will be directly useful to managers. Through a multi-phase project, researchers are implementing co-production...
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Researchers with the North Central Climate Science Center have made substantial progress in assessing the impacts of climate and land use change on wildlife and ecosystems across the region. Building on this progress, researchers will work with stakeholders to identify adaptation strategies and inform resource management in the areas that will be most affected by changing conditions. There are several components of this project. First, researchers will use the Department of Interior “resource briefs” as a mechanism to communicate information to resource managers on climate and land use change and their impacts to resources. These briefs will support coordinated management of ecosystems that contain public, private,...
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Over 300 samples were collected in New York, Vermont, and Massachusetts from wastewater treatment facilities (20 locations), drinking water facilities (9 locations), streams (53 locations), lakes (2 locations), a bay (1 location), and a POCIS (Polar Organic Chemical Integrative Sampler) blank sample between April 2009 and October 2018. This data release provides chemistry data for over 400 analytes, including pharmaceuticals, hormones, personal care and domestic use compounds, pesticides and other compounds using 10 different laboratory analytical methods on water, sediment, wastewater sludge, and POCIS samples. Quality assurance data, such as equipment and field blank data and percent recovery for isotopic dilution...
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We are working to incorporate environmental DNA (eDNA) data into the Nonindigenous Aquatic Species (NAS) database, which houses over 570,000 records of nonindigenous species nationally, and already is used by a broad user-base of managers and researchers regularly for invasive species monitoring. eDNA studies have allowed for the identification and biosurveillance of numerous invasive and threatened species in managed ecosystems. Managers need such information for their decision-making efforts, and therefore require that such data be produced and reported in a standardized fashion to improve confidence in the results. As we work to gain community consensus on such standards, we are finalizing the process for submitting...
The purpose of this study is to understand how the USGS is using decision support, learning from successes and pitfalls in order to help streamline the design and development process across all levels of USGS scientific tool creation and outreach. What should researchers consider before diving into tool design and development? Our goal is to provide a synthesis of lessons learned and best practices across the spectrum of USGS decision support efforts to a) provide guidance to future efforts and b) identify knowledge gaps and opportunities for knowledge transfer and integration. Principal Investigator : Amanda E Cravens Co-Investigator : Nicole M Herman-Mercer, Amanda Stoltz
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Wildfires affect streams and rivers when they burn vegetation and scorch the ground. This makes floods more likely to happen and reduces water quality. Public managers, first responders, fire scientists, and hydrologists need timely information before and after a fire to plan for floods and water treatment. This project will create a method to combine national fire databases with the StreamStats water web mapping application to help stakeholders make informed decisions. When the project is finished, people will be able to use StreamStats to estimate post-wildfire peak flows in streams and rivers for most of the United States (where data is available). There will also be tools that allow users to trace upstream and...
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The U.S. Geological Survey (USGS) is providing a polygon feature class delineating the extent of Glacial Lake Great Bend within the Binghamton East 1:24,000 quadrangle of south-central Broome County, New York, 2020. The shapefile was created and intended for use with geographic information system (GIS) software. A companion report, USGS Scientific Investigations Report 2021-5026 (Van Hoesen and others, 2021; https://doi.org/10.3133/sir20215026) further describes data collection and map preparation.
map background search result map search result map From Icefield to Ocean: Glacier Change Impacts to Alaska’s Coastal Ecosystems Integrating Climate Change Research and Planning to Inform Wildlife Conservation in the Boreal Forests of the Northeastern U.S. Foundational Science Area: Climate Adaptation Strategies for Wildlife and Habitats in the North Central U.S. Northwest Boreal Science and Management Research Tool Enabling Climate-Informed Planning and Decisions about Species of Conservation Concern in the North Central Region: Phase 2 Glacial Lake Great Bend within the Susquehanna River Valley in South-Central Broome County, Towns of Conklin and Kirkwood, New York Bedrock elevation contours beneath main valleys in the Oneonta area, Otsego and Delaware Counties, New York Inferred dead-ice sink locations in the Oneonta area, Otsego and Delaware Counties, New York Oneonta study area, Otsego and Delaware Counties, New York Rondout Neversink study area hydrogeologic framework layers Delaware County, New York: Horizontal-to-Vertical Spectral Ratio (HVSR) Soundings (2010) Supplementary Points for the Jamestown sourcewater study area in upstate New York Well Logs for the Olean sourcewater study area in upstate New York Emerging contaminant data at wastewater treatment facilities, municipal water supplies, surface water and lake sites in the northeastern United States, 2009-2018 (ver. 1.1, January 2023) Glacial Lake Great Bend within the Susquehanna River Valley in South-Central Broome County, Towns of Conklin and Kirkwood, New York Rondout Neversink study area hydrogeologic framework layers Well Logs for the Olean sourcewater study area in upstate New York Supplementary Points for the Jamestown sourcewater study area in upstate New York Delaware County, New York: Horizontal-to-Vertical Spectral Ratio (HVSR) Soundings (2010) Integrating Climate Change Research and Planning to Inform Wildlife Conservation in the Boreal Forests of the Northeastern U.S. Emerging contaminant data at wastewater treatment facilities, municipal water supplies, surface water and lake sites in the northeastern United States, 2009-2018 (ver. 1.1, January 2023) Enabling Climate-Informed Planning and Decisions about Species of Conservation Concern in the North Central Region: Phase 2 Foundational Science Area: Climate Adaptation Strategies for Wildlife and Habitats in the North Central U.S. From Icefield to Ocean: Glacier Change Impacts to Alaska’s Coastal Ecosystems Northwest Boreal Science and Management Research Tool