Skip to main content
USGS - science for a changing world
Advanced Search

Filters: Categories: Data (X) > Date Range: {"choice":"month"} (X)

2,339 results (27ms)   

Filters
Date Types (for Date Range)
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
Intracoelomic implantation of electronic tags has become a common method in fishery research, but rarely are fish examined by scientists after release to understand the extent that surgical incisions have healed. Walleye (Sander vitreus) are a valuable, highly-exploited fishery resource in the Laurentian Great Lakes. Here, fishery capture of walleye with internal acoustic transmitters combined with a high reward program provided multiple opportunities to examine photographs and quantify the status of surgical incisions. Walleye (n=926) from reef and river spawning populations in Lake Erie and Lake Huron were implanted with acoustic transmitters during spring spawning events from 2011 to 2016. Incisions were closed...
thumbnail
Mean modeled snow-water-equivalent (meters) on February 20, the date of peak basin-integrated mean modeled snow-water-equivalent (meters) for the T4 climate change scenario. Reference period: the period 1989 – 2011 for the Upper Deschutes River Basin domain, for which observed historical meteorology is used for model input. T4 scenario: the observed historical (reference period) meteorology is perturbed by adding +4°C to each daily temperature record in the reference period meteorology, and this data is then used as input to the model.
thumbnail
The Louisiana State Legislature created Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed persuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Channel Armor Gap Crevasse (MR-06) project for 2016. This data set is used as a basemap land/water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their project...
thumbnail
This data set contains links that are important to each species' habitat network. Those important links are scored based on the percent currently under protection status, projected change in climate suitability by the middle of the 21st century, and projected change in percent urbanized by the middle of the 21st century. Important links were identified from all links in the networks of each species based on their Integral Index of Connectivity (dIIC). Any links with dIIC scores > 0.9 or which connected to nodes with dIIC > 0.9 were retained here as "important" links.
This capacity-building activity supported three tribal college and university (TCU) mini-­grants to initiate student phenological and meteorological observation projects in support of climate change research, to document impacts of climate change and development of indigenous geography curriculum. Students made observations of culturally and/or traditionally significant plants to generate data sets for use in climate change impact assessment of these plants and plant communities. The activity contributed to the larger national efforts of the Smithsonian National Museum of the American Indian’s “Indigenous Geography” curricula, by engaging with students at tribal colleges to explore the linkage between the “seasonality”...
thumbnail
Estimates of the probability of mortality in whitebark pine from mountain pine beetles as determined from a logistic generalized additive model of the presence of mortality as functions of the number of trees killed last year, the percent whitebark pine in each cell, minimum winter temperature, average fall temperature, average April - Aug temperature, and cummulative current and previous year summer precipitation. Analysis was done at a 1 km grid cell resolution. Data are a list of points in comma separated text format. Point coordinates are the center of each 1 km grid cell.
thumbnail
Data points intensively sampling 46 North American biomes were used to predict the geographic distribution of biomes from climate variables using the Random Forests classification tree. Techniques were incorporated to accommodate a large number of classes and to predict the future occurrence of climates beyond the contemporary climatic range of the biomes. Errors of prediction from the statistical model averaged 3.7%, but for individual biomes, ranged from 0% to 21.5%. In validating the ability of the model to identify climates without analogs, 78% of 1528 locations outside North America and 81% of land area of the Caribbean Islands were predicted to have no analogs among the 46 biomes. Biome climates were projected...
The aim of this project is to facilitate expansion of current data management protocols to accommodate social science data for the USGS National Climate Change and Wildlife Science Center (NCCWSC) and its regional Climate Science Centers (CSCs). To address this expansion, we (1) identified the best practices and approaches from practitioners/experts through interviews with current curators of social science data, (2) explored the approaches of existing tools and services to determine if they are capable of meeting the needs of the NCCWSC, and (3) conducted a survey of the specific user community, with a focus on social science researchers funded by the NCCWSC and managers of the data within the program. The dataset...
thumbnail
DATA ACCESS: See below under 'Attached Files' - click to download zip file package. Summary: The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. Phase 2 data for Southern...
thumbnail
Data are time series of substrate grain size, remotely sensed water column turbidity, and measures of abundance (e.g., density, percent cover) of the nearshore subtidal (3-17 m depth) benthic community (vegetation, invertebrates, and fish) collected before (2008-2011) and during dam removal (2012-2014).
These data are netcdf files of the projected timing of the onset of thermal stress severe enough (>8 Degree Heating Weeks) to cause coral bleaching 2x per decade and 10x per decade (annual) under emissions scenarios RCP8.5 and RCP4.5. The projected timing (a year between 2006 and 2100) is the data value. Values are only shown for the ~60,000 four-km pixels where coral reefs are known to occur.
This data release includes the results of analysis of video data conducted by Oregon State University and the geo-habitat interpretation of multibeam echo sounder (MBES) data conducted by the USGS. The data were collected in 2014 and were published in Cochrane and others (2015). This data release accompanies report that describes the project and results in detail (Cochrane and others, 2017). All the data are provided as geographic information system (GIS) files that contain both Esri ArcGIS geotiffs or shapefiles. For those who do not own the full suite of Esri GIS and mapping software, the data can be read using Esri ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html...
Categories: Data; Tags: Marine Geology
This data release is provided in support of Arismendi, I., Dunham, J.B., Heck, M.P., Schultz, L.D., Hockman-Wert, D.P., 2017, A statistical method to predict flow permanence in dryland streams from time series of stream temperature: Water, v. 9, no. 12, p. 946, https://doi.org/10.3390/w9120946. This code release contains all of the source code from the "Hidden Markov Model" sections of the associated manuscript. The source code was written using the R programming language (www.r-project.org, version 3.3.1). Running the code requires knowlege of the R programming language. The code snippet requires the folder location containing the data, and the site being processed, to be updated. The code requires certain R packages,...
thumbnail
Deep-sea corals can create a highly complex, three-dimensional structure that facilitates sediment accumulation and influences adjacent sediment environments through altered hydrodynamic regimes. Infaunal communities adjacent to different coral types, including reef-building scleractinian corals and individual colonies of octocorals, are known to differ from background non-coral soft-sediment communities, often exhibiting higher macrofaunal densities and distinct community structure. However, the coral types have different morphologies, which may modify the adjacent sediment communities in discrete ways. Here we address two main questions: 1) how infaunal communities adjacent to deep-sea corals and their associated...
thumbnail
This data release provides the georeferenced boundaries that delimit each spatial unit of the Great Lakes Regional Aquatic Gap Analysis Project (GLGap) Coastal Hydrospatial Framework at each spatial scale from the local 90m cell to the entire Laurentian Great Lakes system and from the shoreline to the deepest offshore waters. The U.S. Geological Survey and the U.S. Fish and Wildlife Service collaborated to design a universal framework of spatial areas that encompass all space of the Laurentian Great Lakes proper. Agglomeration of the finest units (90m cells) form coarser, broader scale units. Finer units are nested within the coarser units at six spatial scales, labeled as Local Cells, Aquatic Habitat Areas, Coastal...
Historical and projected climate data and water balance data under three GCMs (CNRM-CM5, CCSM4, and IPSL-CM5A-MR) from 1980 to 2099 was used to assess projected climate change impacts in North Central U.S. We obtained required data from MACA data (https://climate.northwestknowledge.net/MACA/). Historical time period ranges from 1980 to 2005, and projected time period ranges from 2071 to 2099. The climate data includes temperature and precipitation whereas water balance data includes Potential Evapotranspiration (PET) and Moisture Index (MI) estimated using Penman-Monteith and Thornthwaite methods defining as Penman PET, Penman MI, Thornthwaite PET and Thornthwaite MI. Both types of MI was estimated as a ratio of...
Exposure (vulnerability) index for the future time period (2061-2080) representing projected climate conditions from the Meteorological Research Institute's Coupled Atmosphere-Ocean General Circulation Model, version 3, and the rcp85 emissions scenario. The exposure model uses LANDFIRE vegetation data and Worldclim climate data .The raster values represent exposure scores for the corresponding vegetation type. The modeled vegetation types can be spatially associated with the exposure values by overlaying them with the "landfire_veg_sw_300m.tif" raster.Exposure values represent where the location falls in climate space relative to its recent historical distribution:5 (core 5% of historical climate space); 10 (5 -...


map background search result map search result map Probability of Whitebark Pine Mortality from Mountain Pine Beetle, 1997-2009, Northern Rockies Study Area Modeled snow-water-equivalent, projected seasonal peak values under T4 climate change scenario, Upper Deschutes River Basin, Oregon [full and clipped versions] North American vegetation model data for land-use planning in a changing climate: Hydrospatial Framework for the Laurentian Great Lakes CoSMoS 3.0 Phase 2 ocean-currents hazards: 1-year storm in Santa Barbara County Condition of Surgical Acoustic Tag Incisions in Recaptured Lake Erie Walleye (2011-2016) Channel Armor Gap Crevasse (MR-06): 2016 Land-Water Classification Important links for Black bear, Rafinesque's big-eared bat, and timber rattlesnake Data collected in 2008-2014 to assess nearshore subtidal community responses to increased sediment load during removal of the Elwha River dams, Washington State, USA AIS Distribution in Lakes (MT) Sediment macrofaunal composition, sediment grain size, and taxa functional traits of multiple deep-sea coral habitats in the Gulf of Mexico, 2009-2014 Channel Armor Gap Crevasse (MR-06): 2016 Land-Water Classification Data collected in 2008-2014 to assess nearshore subtidal community responses to increased sediment load during removal of the Elwha River dams, Washington State, USA Modeled snow-water-equivalent, projected seasonal peak values under T4 climate change scenario, Upper Deschutes River Basin, Oregon [full and clipped versions] CoSMoS 3.0 Phase 2 ocean-currents hazards: 1-year storm in Santa Barbara County AIS Distribution in Lakes (MT) Condition of Surgical Acoustic Tag Incisions in Recaptured Lake Erie Walleye (2011-2016) Sediment macrofaunal composition, sediment grain size, and taxa functional traits of multiple deep-sea coral habitats in the Gulf of Mexico, 2009-2014 Probability of Whitebark Pine Mortality from Mountain Pine Beetle, 1997-2009, Northern Rockies Study Area North American vegetation model data for land-use planning in a changing climate: Hydrospatial Framework for the Laurentian Great Lakes Important links for Black bear, Rafinesque's big-eared bat, and timber rattlesnake