Filters: Categories: Data (X)

Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > Northeast CASC ( Show direct descendants )

Location Folder Show Tree ROOT _ScienceBase Catalog __National and Regional Climate Adaptation Science Centers ___Northeast CASC FY 2012 Projects FY 2013 Projects FY 2014 Projects FY 2015 Projects FY 2016 Projects More... Filters Date Range Past year (10) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions Raster (34) Shapefile (15) Citation (1) NetCDF OPeNDAP Service (1) Types Map Service (52) Downloadable (49) GeoTIFF (34) Raster (34) Citation (23) OGC WFS Layer (18) OGC WMS Layer (18) Contacts U.S. Geological Survey University of Massachusetts Ethan Plunkett Jordan S. Read GS ScienceBase More... Categories Data Release - In Progress (1) Data Release - Revised (1) Publication (1) Tag Types Place (95) Theme (105) Science Themes (60) Water, Coasts and Ice (50) Organization (45) Wildlife and Plants (39) Label (17) Harvest Set (10) USGS Scientific Topic Keyword (5) LCC End User Type (1) Science Tools For Managers (5) Landscapes (3) theme (2) Indigenous Peoples (2) ISO 19115 Topic Category (1) ISO Topic Category (1) LCC Deliverable (1) LCC Project Category (1) Resource Type (1) Science Tools for Managers (1) More... Tag Schemes Common geographic areas (55) none (28) ISO 19115 Topic Category (94) None (23) U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST (28) https://www.sciencebase.gov/vocab/category/NCCWSC/ScienceThemes (61) https://www.sciencebase.gov/vocab/category/NCCWSC/Project/OrganizationName (60) https://www.sciencebase.gov/vocab/category/NCCWSC/WaterCoastsandIce (51) Department of Commerce, 1995, Countries, Dependencies, Areas of Special Sovereignty, and Their Principal Administrative Divisions, Federal Information Processing Standard (FIPS) 10-4, Washington, D.C., National Institute of Standards and Technology (28) USGS Thesaurus (18) https://www.sciencebase.gov/vocab/category/NCCWSC/WildlifeandPlants (39) Alexandria Digital Library Feature Type Thesaurus (8) US Geological Survey Thesaurus (1) Marine Realms Information Bank (MRIB) keywords (5) USGS (3) Coastal and Marine Ecological Classification Standard (2) ISO 19115 Topic Categories (4) https://www.sciencebase.gov/vocab/category/NCCWSC/ScienceToolsforManagers (6) https://www.sciencebase.gov/vocab/vocabulary/54760ef9e4b0f62cb5dc41a0 (1) GLSC Science Theme (1) More... View Results as: JSON ATOM CSV Browse Folder

Blackburnian warbler 2020 conductance This dataset represents the connections between each nearby pair of 2020 cores for Blackburnian warbler. It is intended to highlight areas important for connecting cores and to visually represent the connections among cores. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Connecticut, Delaware, District of Columbia, Maine, Maryland, All tags... Massachusetts, New Hampshire, New Jersey, New York, North America, Pennsylvania, Rhode Island, United States, Vermont, Virginia, West Virginia, biota, environment, Fewer tags A Synthesis of Climate Change Vulnerability Assessment Rankings for Species of Greatest Conservation Need in the Northeast US from 2010-2023 This dataset details individual species and natural habitat vulnerability rankings, including contextual study-specific information. This data was collected from original publications found through a literature search. Information is cumulative to include climate change vulnerability assessment (CCVA) results summarized in Staudinger et al. (2015) and published as of December 2023. Categories: Data; Tags: CCVA, Climate Change Vulnerability Assessment, Climatology, Connecticut, Delaware, All tags... Eastern United States, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Northeast United States, Pennsylvania, RSGCN, Regional Species of Greatest Conservation Need, Rhode Island, SGCN, SWAP, Species of Greatest Conservation Need, State Wildlife Action Plans, USGS Science Data Catalog (SDC), Vermont, Virginia, West Virginia, biota, habitat vulnerability rankings, Fewer tags American woodcock 2080 conductance This dataset represents the connections between each nearby pair of 2080 cores for American woodcock. It is intended to highlight areas important for connecting cores and to visually represent the connections among refugia cores. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Connecticut, Delaware, District of Columbia, Maine, Maryland, All tags... Massachusetts, New Hampshire, New Jersey, New York, North America, Pennsylvania, Rhode Island, United States, Vermont, Virginia, West Virginia, environment, farming, Fewer tags Climate Change Scenario Inundation Metrics along the Upper and Middle Mississippi and Lower Missouri Rivers Within large-river ecosystems, floodplains serve a variety of important ecological functions. A recent survey of 80 managers of floodplain conservation lands along the Upper and Middle Mississippi and Lower Missouri Rivers in the central United States found that the most critical information needed to improve floodplain management centered on metrics for characterizing depth, extent, frequency, duration, and timing of inundation. These metrics can be delivered to managers efficiently through cloud-based interactive maps. To calculate these metrics, we interpolated an existing one-dimensional HEC-RAS hydraulic model for the Lower Missouri River, which simulated water surface elevations at cross sections spaced (<1... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Iowa, Kansas, Lower Missouri, Missouri, Nebraska, All tags... Northeast CASC, Other Water, Water, Coasts and Ice, environment, floodplains, floods, inlandWaters, river systems, streamflow AND mathematical modeling, wetland ecosystems, Fewer tags Appendix I Master Map Legend Categories: Data; Tags: Northeast CASC, Water, Coasts and Ice, Wetlands Process-guided deep learning water temperature predictions: 5c All lakes historical prediction data Multiple modeling frameworks were used to predict daily temperatures at 0.5m depth intervals for a set of diverse lakes in the U.S. states of Minnesota and Wisconsin. Process-Based (PB) models were configured and calibrated with training data to reduce root-mean squared error. Uncalibrated models used default configurations (PB0; see Winslow et al. 2016 for details) and no parameters were adjusted according to model fit with observations. Deep Learning (DL) models were Long Short-Term Memory artificial recurrent neural network models which used training data to adjust model structure and weights for temperature predictions (Jia et al. 2019). Process-Guided Deep Learning (PGDL) models were DL models with an added... Categories: Data; Tags: 007, 012, Fish, MN, Minnesota, All tags... Northeast CASC, Rivers, Streams and Lakes, US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, Fewer tags Process-guided deep learning water temperature predictions: 3c All lakes historical inputs This dataset includes model inputs that describe weather conditions for the 68 lakes included in this study. Weather data comes from gridded estimates (Mitchell et al. 2004). There are two comma-separated files, one for weather data (one row per model timestep) and one for ice-flags, which are used by the process-guided deep learning model to determine whether to apply the energy conservation constraint (the constraint is not applied when the lake is presumed to be ice-covered). The ice-cover flag is a modeled output and therefore not a true measurement (see "Predictions" and "pb0" model type for the source of this prediction). This dataset is part of a larger data release of lake temperature model inputs and outputs... Categories: Data; Tags: 007, 012, Fish, MN, Minnesota, All tags... Northeast CASC, Rivers, Streams and Lakes, US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, Fewer tags Pairwise comparisons of river herring run dynamics and environmental regimes among Massachusetts streams The timing of life-history events in many plants and animals depend on specific environmental conditions that fluctuate with seasonal conditions. Climate change is altering environmental regimes and disrupting natural cycles and patterns across communities. Anadromous fishes that migrate between marine and freshwater habitats to spawn are particularly sensitive to shifting environmental conditions, and thus are vulnerable to the effects of climate change. However, for many anadromous fish species the specific environmental mechanisms driving migration and spawning patterns are not well understood. The data in this release are a supplement to the publication Legett et al. (2021). Daily patterns of river herring (Alosa... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Massachusetts, biota Process-guided deep learning water temperature predictions: 2 Model configurations (lake metadata and parameter values) This dataset provides model specifications used to estimate water temperature from a process-based model (Hipsey et al. 2019). The format is a single JSON file indexed for each lake based on the "site_id". This dataset is part of a larger data release of lake temperature model inputs and outputs for 68 lakes in the U.S. states of Minnesota and Wisconsin (http://dx.doi.org/10.5066/P9AQPIVD). Categories: Data; Tags: 007, 012, Fish, MN, Minnesota, All tags... Northeast CASC, Rivers, Streams and Lakes, US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, Fewer tags Process-guided deep learning water temperature predictions: 3b Sparkling Lake inputs This dataset includes model inputs that describe local weather conditions for Sparkling Lake, WI. Weather data comes from two sources: locally measured (2009-2017) and gridded estimates (all other time periods). There are two comma-delimited files, one for weather data (one row per model timestep) and one for ice-flags, which are used by the process-guided deep learning model to determine whether to apply the energy conservation constraint (the constraint is not applied when the lake is presumed to be ice-covered). The ice-cover flag is a modeled output and therefore not a true measurement (see "Predictions" and "pb0" model type for the source of this prediction). This dataset is part of a larger data release of... Categories: Data; Tags: 007, 012, Fish, Northeast CASC, Rivers, Streams and Lakes, All tags... US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, Fewer tags Cerulean warbler Climate Refugia 2080 This dataset represents the connections between each nearby pair of 2080 cores for Cerulean warbler. It is intended to highlight areas important for connecting cores and to visually represent the connections among refugia cores. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Connecticut, Delaware, District of Columbia, Maine, Maryland, All tags... Massachusetts, New Hampshire, New Jersey, New York, North America, Pennsylvania, Rhode Island, United States, Vermont, Virginia, West Virginia, environment, farming, Fewer tags A Remote Sensing Approach to Characterize Winter Water Level Drawdown Patterns in Lakes This data release consists of four datasets that were used for evaluating winter drawdown patterns in 166 Massachusetts lakes greater than 0.3 km2 surface area. The first dataset (“Water area and level.csv”) provides water area and water level time series data of 166 lakes from 2016 to 2021. Water area and water level time-series data were derived from European Space Agency’s Sentinel 1 synthetic aperture radar satellite sensor using the JavaScript code in Google Earth Engine platform. Details of this code were described in the software release (https://doi.org/10.5066/P9ZA5I1U). The second dataset (“Water area interpolated.csv”) is the linearly-interpolated daily water area time series data of the 166 lakes from... Categories: Data; Tags: Massachusetts, USGS Science Data Catalog (SDC), environment, hydrology, lake, All tags... natural resource management, remote sensing, water level measurements, Fewer tags Inundation observations, climate data, and landscape attributes for vernal pools of the northeastern United States The dataset provided here and described in this metadata document consists of several components: (1) pool-specific attributes including name and geographic location, (2) time-varying inundation observations collected between May 2004 and July 2016; (3) landscape attributes associated with pool locations including geologic, soil, and landcover characteristics; (4) short- and medium-term weather and climate variables for time periods (for example, 5-days and 6-months) immediately preceding the dates of inundation observations; and (5) long-term (30-year average) climate variables associated with pool locations. Categories: Data; Tags: Maine, Maryland, Massachusetts, New Hampshire, New Jersey, All tags... New York, Northeast CASC, Other Water, Pennsylvania, Water, Coasts and Ice, West Virginia, Wetlands, environment, hydrology, inlandWaters, vernal pools, wetland ecosystems, Fewer tags Inundation observations and inundation model predictions for vernal pools of the northeastern United States This data release includes data-processing scripts, data products, and associated metadata for a study to model the hydrology of several hundred vernal pools (i.e., seasonal pools or ephemeral wetlands) across the northeastern United States. More information on this study is available from the project website. This data release consists of several components: (1) an input dataset and associated metadata document ("pool_inundation_observations_and_climate_and_landscape_data"); (2) an annotated R script which processes the input dataset, performs inundation modeling, and generates model predictions ("annotated_R_script_for_pool_inundation_modeling.R"); and (3) a model prediction dataset and associated metadata document... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Hydrology, Maine, Maryland, Massachusetts, New Hampshire, All tags... New Jersey, New York, Northeast CASC, Other Water, Pennsylvania, USGS Science Data Catalog (SDC), Water Resources, Water, Coasts and Ice, West Virginia, Wetlands, environment, hydrology, inlandWaters, vernal pools, wetland ecosystems, Fewer tags Changes in Forested Landscapes of the Northeastern U.S. Under Alternative Climate Scenarios Forests in the Eastern United States are in the early- and mid-successional stages recovering from historical land use. Succession, harvest, and climate are potentially important factors affecting forest composition and structure in the region. The goal of this project was to predict the distribution and abundance of dominant tree species across portions of the Eastern U.S. under alternative climate scenarios from present to the end of the century. We used the forest landscape change LANDIS PRO and hybrid empirical-physiological ecosystem model LINKAGES to model changes in forest biomass and species abundances and distribution in the North Atlantic region of the U.S. while accounting for climate change, succession,... Categories: Data; Types: Citation; Tags: Forests, Landscapes, Northeast CASC, biota, environment Daily Survival Rates of Grassland Passerines and Associated Weather Variables (1978-2013) This data set contains daily survival rates from 81 studies of passerine obligate grassland bird species that primarily breed in the United States; patch size information was extracted when available. Temperature and precipitation variables were calculated for the study sites and years the data were collected. The studies we used collected data across the period 1978 to 2013. Categories: Data; Tags: Birds, Daily survival rates, Grasslands and Plains, Landscapes, Northeast CASC, All tags... Wildlife and Plants, biological and physical processes, biota, birds, computational methods, datasets, grassland passerines, life sciences, methods, organisms, ornithology, precipitation, product types, regression analysis, sciences, statistical analysis, termperature, topics, vertebrates, zoology, Fewer tags Wisconsin Lake Temperature Metrics Decreasing Clarity It is well recognized that the climate is warming in response to anthropogenic emission of greenhouse gases. Over the last decade, this has had a warming effect on lakes. Water clarity is also known to effect water temperature in lakes. What is unclear is how a warming climate might interact with changes in water clarity in lakes. As part of a project at the USGS Office of Water Information, several water clarity scenarios were simulated for lakes in Wisconsin to examine how changing water clarity interacts with climate change to affect lake temperatures at a broad scale. This data set contains the following parameters: year, WBIC, durStrat, max_schmidt_stability, mean_schmidt_stability_JAS, mean_schmidt_stability_July,... Categories: Data; Types: Citation; Tags: 007, 012, Fish, Northeast CASC, Rivers, Streams and Lakes, All tags... US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, Wisconsin, climate change, environment, hydrodynamic model, inlandWaters, lakes, limnology, water clarity, water quality, water temperature, Fewer tags Wisconsin Lake Temperature Metrics Increasing Clarity It is well recognized that the climate is warming in response to anthropogenic emission of greenhouse gases. Over the last decade, this has had a warming effect on lakes. Water clarity is also known to effect water temperature in lakes. What is unclear is how a warming climate might interact with changes in water clarity in lakes. As part of a project at the USGS Office of Water Information, several water clarity scenarios were simulated for lakes in Wisconsin to examine how changing water clarity interacts with climate change to affect lake temperatures at a broad scale. This data set contains the following parameters: year, WBIC, durStrat, max_schmidt_stability, mean_schmidt_stability_JAS, mean_schmidt_stability_July,... Categories: Data; Types: Citation; Tags: 007, 012, Fish, Northeast CASC, Rivers, Streams and Lakes, All tags... US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, Wisconsin, climate change, environment, hydrodynamic model, inlandWaters, lakes, limnology, water clarity, water quality, water temperature, Fewer tags Dynamical Downscaling for the Midwest and Great Lakes Basin Six global climate models (GCMs) from the Coupled Model Intercomparison Project Phase Five (CMIP5) were dynamically downscaled to 25-km grid spacing according to the representative concentration pathway 8.5 (RCP8.5) scenario using the International Centre for Theoretical Physics (ICTP) Regional Climate Model Version Four (RegCM4), interactively coupled to a 1D lake model to represent the Great Lakes. These GCMs include the Centre National de Recherches Meteorologiques Coupled Global Climate Model Version Five (CNRM-CM5), the Model for Interdisciplinary Research on Climate Version Five (MIROC5), the Institut Pierre Simon Laplace Coupled Model Version Five-Medium Resolution (IPSL-CM5-MR), the Meteorological Research... Categories: Data; Types: NetCDF OPeNDAP Service; Tags: Great Lakes, climatologyMeteorologyAtmosphere, dataset, downscaling, service Fishtail huc12: Indices and supporting data characterizing the current (1961-2000) and future (2041-2080) risk to fish habitat degradation in the Northeast Climate Science Center region This dataset represents results from this study attributed to the Hydrologic Unit Code (HUC) 12 watershed boundaries. Human impacts occurring throughout the Northeast and Midwest United States, including urbanization, agriculture, and dams, have multiple effects on the region’s streams which support economically valuable stream fishes. Changes in climate are expected to lead to additional impacts in stream habitats and fish assemblages in multiple ways, including changing stream water temperatures. To manage streams for current impacts and future changes, managers need region-wide information for decision-making and developing proactive management strategies. Our project met that need by integrating results... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Aquatic habitats, Connecticut, Data Visualization & Tools, Delaware, Fish, All tags... Illinois, Indiana, Iowa, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Hampshire, New Jersey, New York, Northeast CASC, Ohio, Pennsylvania, Rhode Island, Rivers, Streams and Lakes, Science Tools For Managers, Vermont, Virginia, Washington D.C., Water, Coasts and Ice, West Virginia, Wildlife and Plants, Wisconsin, climate change, drainage basins, habitat fragmentation, inlandWaters, land use and land cover, rivers, streams, water quality, Fewer tags 1 2 3 4 5 6 »