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The Climate Adaptation Science Centers (CASCs) partner with natural and cultural resource managers, tribes and indigenous communities, and university researchers to provide science that helps fish, wildlife, ecosystems, and the communities they support adapt to climate change. The CASCs provide managers and stakeholders with information and decision-making tools to respond to the effects of climate change. While each CASC works to address specific research priorities within their respective region, CASCs also collaborate across boundaries to address issues within shared ecosystems, watersheds, and landscapes. These data represent the 9 CASC regions and the national CASC that comprise the CASC network, highlighting...
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The U.S. Inland Creel and Angler Survey Catalog (CreelCat) contains data compiled from 14,729 creel and angler surveys conducted by state natural resource management agencies (including Washington DC and Puerto Rico) in inland waters across the United States. Data are contained in eight .csv files which contain information about survey characteristics (Survey_Data.csv), angler effort (AngEffort_Data.csv), catch and harvest (FishDataCompiled.csv), angler demographics (Demographic_Data.csv), angler preferences (AngPrefDataCompiled.csv), taxonomic classifications (Taxa_Data.csv), issues with catch and harvest (Fish_Attribution_Issues.csv), and issues with angler preference (AngPref_Attribution_Issues.csv), as well...
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Measurements of fog, wind, fog interception, soil moisture, and fog effects on plant water use and plant survival were collected to test a model to estimate CWI as a function of fog-water movement and vegetation characteristics.
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This collection contains the quality-control (QC) transcribed data from the Yukon-Kuskokwim Delta Aerial Breeding Pair Survey. These QC data were produced from the “raw” data using the R Package “AKaerial.” The raw data were evaluated against the current data standards in the ‘AKaerial data dictionary’ and saved to new QC data files with associated log files that document any changes that were made. From 1985 to 1997, observers recorded bird observations out to 200 meters from the aircraft using continuously running tape players (with a locational accuracy of +/- 5 km), while an automated voice recording survey program (with a spatial accuracy of +/- 0.5 km) was used to record data from 1998 to present. The data...
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This dataset represents 740 tributary canyons and/or watersheds adjacent to the Colorado River in Grand Canyon with associated debris flow probabilities from 2004. Also, these data include tributarys canyon and/or watersheds to Glen Canyon and several smaller watersheds in Grand Canyon where debris flow data is currently unavailable. Historic probabilities of debris flow occurrence were estimated by modeling the known frequency distribution with drainage basin parameters observed to control the process by which debris flows initiate and travel to the river. Observations from 1984 through 2003 provide a 20-year record of all debris flows that reached the Colorado River in Grand Canyon, and repeat photography provides...
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The National Park Service (NPS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic...
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In summer 2018, the U.S. Geological Survey partnered with the U.S Department of Energy and the Bureau of Ocean Energy Management to conduct the Mid-Atlantic Resources Imaging Experiment (MATRIX) as part of the U.S. Geological Survey Gas Hydrates Project. The field program objectives were to acquire high-resolution 2-dimensional multichannel seismic-reflection and split-beam echosounder data along the U.S Atlantic margin between North Carolina and New Jersey to determine the distribution of methane gas hydrates in below-sea floor sediments and investigate potential connections between gas hydrate dynamics and sea floor methane seepage. MATRIX field work was carried out between August 8 and August 28, 2018 on the...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Ocean, BOEM, Bureau of Ocean Energy Management, CMHRP, Cape Hatteras, All tags...
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This data release contains cyanotoxin, chlorophyll-a, and pheophytin-a concentration, cyanobacterial genetics, phytoplankton community composition, and multiparameter sonde data collected from 20 sites in five northeastern United States river basins (Penobscot (ME), Santuit (MA), York (VA-WV), Salem (NJ), and Peconic (NY)). Solid Phase Adsorption Toxin Tracking (SPATT) passive samplers were deployed at all sites between August 31 and September 2, 2020, and retrieved after 7 days. Discrete water samples were collected when SPATTs were deployed, and at 2 sites (USGS station IDs 01670257, 0167014792), samples were also collected when the SPATTs were recovered. Sonde data were collected when deploying and retrieving...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Anatoxin-a, Aquatic Community Health, Chlorophyll-a, Contaminants, HABS, Cyanobacteria, All tags...
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This map layer is a thematic raster image of MTBS burn severity classes for all inventoried fires occurring in CONUS during calendar year 2021 that do not meet standard MTBS size criteria. These data are published to augment the data that are available from the MTBS program. This product was produced using the methods of the Monitoring Trends in Burn Severity Program (MTBS), however these fires do not meet the size criteria for a standard MTBS assessment. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. MTBS typically...
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This file contains information on seasonal snow cover and water availability on long-term shorebird monitoring plots including date and time, location, and relative cover of snow, water, and land.A portion of these data are available on the NSF Arctic Data Center (https://doi.org/10.18739/A23R0PT35).The data providers have invested considerable effort in QA/QC, but it is possible that undetected errors remain. It is strongly recommended that careful attention be paid to the contents of the metadata file associated with these data to evaluate data set limitations, restrictions, or intended use. The originators of this dataset shall not be held liable for improper or incorrect use of the data described and/or contained...
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This file provides information on shorebirds observed during 10-minutes point counts including date and time, location, weather information, and shorebird observations.These data do not represent all locations where specific avian species may be present, as surveys only occurred in discrete survey plots. Additionally, individual birds may have went undetected within survey plots, as detectability was likely less than 100%, and is a function of many variables, including differences in species, habitat, time-of-year, weather conditions, survey effort, and individual surveyor. The data providers have invested considerable effort in QA/QC, but it is possible that undetected errors remain. It is strongly recommended...
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This file provides information about each deployment site including site name, location, principal investigator, and contact information.The data providers have invested considerable effort in QA/QC, but it is possible that undetected errors remain. It is strongly recommended that careful attention be paid to the contents of the metadata file associated with these data to evaluate data set limitations, restrictions, or intended use. The originators of this dataset shall not be held liable for improper or incorrect use of the data described and/or contained herein.Potential users of these data should first contact the data authors listed below, as potential biases may occur within the data depending on the intended...
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The primary objective of this project was to monitor the growth of shorebird chicks by recapturing them from hatch to fledgling in relation to food abundance and weather conditions. In 2014 and 2015, we attempted to estimate the impacts of trophic mismatch by experimentally creating late hatched broods by refrigerating eggs to delay hatch. Transmitters were then attached to adults and chicks to follow and recapture chick in order to estimate growth rates and survival (see annual protocol documents for further information).Information for the Utqiagvik chick monitoring study were obtained concurrently with information obtained for the Utqiagvik shorebird project and information on chicks and nests included in these...
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This file provides data collected during ALMS surveys including date and time, location, and species observations.The data providers have invested considerable effort in QA/QC, but it is possible that undetected errors remain. It is strongly recommended that careful attention be paid to the contents of the metadata file associated with these data to evaluate data set limitations, restrictions, or intended use. The originators of this dataset shall not be held liable for improper or incorrect use of the data described and/or contained herein. Potential users of these data should first contact the data authors listed below, as potential biases may occur within the data depending on the intended use.General field methods...
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This file contains information on invertebrate sampling effort including date, number of traps sampled, and time between sampling.A portion of these data are available on the NSF Arctic Data Center (https://doi.org/10.18739/A23R0PT35).The data providers have invested considerable effort in QA/QC, but it is possible that undetected errors remain. It is strongly recommended that careful attention be paid to the contents of the metadata file associated with these data to evaluate data set limitations, restrictions, or intended use. The originators of this dataset shall not be held liable for improper or incorrect use of the data described and/or contained herein.Potential users of these data should first contact the...
map background search result map search result map Maps of the USGS Climate Adaptation Science Centers (May 2024) Multichannel Seismic-Reflection and Navigation Data Collected Using Sercel GI Guns and Geometrics GeoEel Digital Streamers During the Mid-Atlantic Resource Imaging Experiment (MATRIX), USGS Field Activity 2018-002-FA Cloud Water Interception Parameters for 5 sites in Hawai'i from 2016-2019 National Park Service Thematic Burn Severity Mosaic in 2009 (ver. 6.0, January 2024) Cyanobacteria, Cyanotoxin, Cyanotoxin Synthetase Gene, and other Water-Quality Data Collected from Five River Basins in the North Atlantic Appalachian Region, August through September, 2020 Undersized Fire Mapping Program Thematic Burn Severity Mosaic for 2021 (ver. 5.0, October 2023) Debris flow probabilities of ungaged tributaries to the Colorado River in Grand Canyon, AZ (Provisional Release) The U.S. Inland Creel and Angler Survey Catalog (CreelCat): A Database and Interactive Tool for Inland Fisheries Management and Research Alaska Yukon-Kuskokwim Delta Aerial Survey QC Transcribed Data Alaska Shorebird Tracking Study Site Information Alaska Shorebird Tracking Study protocols Utqiagvik Alaska Invertebrate Sampling Effort data Utqiagvik Alaska Shorebird Survey Protocols Utqiagvik Alaska Snow and Water surveys Spoon-billed Sandpiper surveys point count data from Near Kotzebue Alaska Utqiagvik Alaska Shorebird Chick Monitoring Study Utqiagvik Alaska Landbird Monitoring Survey protocols Utqiagvik Alaska Landbird Monitoring Surveys data Alaska National Wildlife Refuge Avian Checklist Transcribed Data 1988-2000 Alaska Eielson Avian Resight Data 2022-Present Utqiagvik Alaska Landbird Monitoring Survey protocols Utqiagvik Alaska Landbird Monitoring Surveys data Alaska Eielson Avian Resight Data 2022-Present Utqiagvik Alaska Invertebrate Sampling Effort data Utqiagvik Alaska Shorebird Survey Protocols Utqiagvik Alaska Snow and Water surveys Utqiagvik Alaska Shorebird Chick Monitoring Study Spoon-billed Sandpiper surveys point count data from Near Kotzebue Alaska Debris flow probabilities of ungaged tributaries to the Colorado River in Grand Canyon, AZ (Provisional Release) Alaska Yukon-Kuskokwim Delta Aerial Survey QC Transcribed Data Multichannel Seismic-Reflection and Navigation Data Collected Using Sercel GI Guns and Geometrics GeoEel Digital Streamers During the Mid-Atlantic Resource Imaging Experiment (MATRIX), USGS Field Activity 2018-002-FA Cloud Water Interception Parameters for 5 sites in Hawai'i from 2016-2019 Cyanobacteria, Cyanotoxin, Cyanotoxin Synthetase Gene, and other Water-Quality Data Collected from Five River Basins in the North Atlantic Appalachian Region, August through September, 2020 Alaska National Wildlife Refuge Avian Checklist Transcribed Data 1988-2000 Undersized Fire Mapping Program Thematic Burn Severity Mosaic for 2021 (ver. 5.0, October 2023) The U.S. Inland Creel and Angler Survey Catalog (CreelCat): A Database and Interactive Tool for Inland Fisheries Management and Research National Park Service Thematic Burn Severity Mosaic in 2009 (ver. 6.0, January 2024) Maps of the USGS Climate Adaptation Science Centers (May 2024) Alaska Shorebird Tracking Study Site Information Alaska Shorebird Tracking Study protocols