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Coastal flooding and erosion caused by storms and sea-level rise threaten infrastructure and public safety in Alaska Native communities. Though the problem is well known, there are few tools that can assess local vulnerability to coastal flood hazards. Even fewer tools can be customized with specific community information to support local adaptation planning. The main goal of this project is to use the Coastal Storm Modeling System (CoSMoS) platform to co-produce customized local flood hazard maps and online tools to support the development of culturally-appropriate and cost-efficient adaptation strategies in Alaska. The project team will work with federal, state, and local community representatives to understand...
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The roselaari subspecies of Red Knot is one of the rarest shorebird populations breeding in North America, based on a the current population size estimate of 17,000 individuals (Carmona et al 2013). As a result of suspected declines,the roselaari subspecies has been designated as threatened by the Committee on the Status of Endangered Wildlife in Canada and was petitioned for listing under the U.S. Endangered Species Act. The U.S. Fish and Wildlife Service’s decision to not conduct a full status review for listing was based on the lack of substantial information identifying threats and population trends (USFWS 2011). The apparent low population size coupled with the scarcity of information on many demographic and...
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The Uwajima cluster is named for the city of Uwajima on the southwest coast of the island of Shikoku, Japan. The seismicity is mainly beneath the Bungo Channel separating Shikoku and Kyushu. The cluster was motivated by a 6.3 Mw earthquake on April 17, 2024, and contains two other magnitude 6.3 events, on August 5, 1968 and January 21, 2022. The seismicity is at depths of 25-70 km, associated with the subduction zone. All events are observed to teleseismic distances. Station coverage is superb and all events have depth constraint from near-source readings. Most events also have depth estimates from teleseismic depth phases that are in close agreement. ...
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This is a folder and zip folder for distribution if the ACP data. Limited metadata exists at this time, thus the readme.txt file contains much of the information. The contents also include 10-02 area data that was collected in 2019. Ths is identified in the 'code' column of the ACP_QCObs_YYYY... files. The contents include: ADDITIONAL INFORMATION: OBSERVATION FILES (Data/ACP_QCObs_YYYY_Name.csv) - 2010 resulted in 3 different observers, 2018 had 1 observer, and all other years had 2 observers. - Latitude and longitude fields are of unknown accuracy and might be 500m from the reported locations due to: (1) GPS satellite accuracy, (2) distance from observed bird to center strip of transect (observer) could be up to...
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Introduction Relatively little data describing the quality of groundwater in New York State exists, yet groundwater is used as a source of drinking water by approximately one quarter of the population of the state. The objective of the Ambient Groundwater Quality Monitoring project is to quantify and report on ambient groundwater quality from bedrock and glacial-drift aquifers in upstate New York, and is an ongoing cooperative project between the U.S. Geological Survey (USGS) and New York State Department of Environmental Conservation (NYSDEC). The project began in 2002 with a pilot study in the Mohawk River Basin and another in 2003 in the Chemung River Basin. Sampling completed in 2018 represented the conclusion...
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The Central Valley covers about 20,000 square miles and is one of the most productive agricultural regions in the world. Because the valley is semi-arid, surface-water availability varies substantially. Agricultural demand for irrigation is heavily reliant on surface water and groundwater. In the last few decades, land-use changes and limitations to surface-water availability—including drought and environmental flows—have increased pumping, causing groundwater-level and groundwater-storage declines, renewed subsidence, decreased stream flows, and changes to ecosystems. As these recent trends continue, monitoring, data compilation, and modeling are critical to understanding the dynamics of groundwater use and developing...
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This is an SQLite GeoPackage simple feature multipolygon vector database of the Arctic Coastal Plain survey area transect density strata. There is only one layer that gives the strata boundaries in EPSG:4326. The field “Statra” gives the strata name and the “geom” field gives the simple feature Well Known Text geometry data. See the GitHub site for more information. This product was produced from the file ACPmapping.R and is simplified from the original strata files distributed at https://www.sciencebase.gov/catalog/item/65419a58d34ee4b6e05bd001.
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Welcome to the U.S. Geological Survey (USGS) Alaska Science Center (ASC), headquartered in Anchorage, Alaska. At the ASC, all of the USGS Mission Area Programs are managed collectively with a vision to achieving an integrated landscape level understanding of the highly diverse and complex Alaskan and Arctic Ecosystems. The mission of the Alaska Science Center is to provide objective and timely data, information, and research findings about the earth and its flora and fauna to Federal, State, and local resource managers and the public to support sound decisions regarding natural resources, natural hazards, and ecosystems in Alaska and circumpolar regions.
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The Pacific Flyway Winter Brant Survey (WBS) has been conducted annually since 1981 as part of a cooperative effort by the U.S. Fish and Wildlife Service, Canadian Wildlife Service, Mexico, and the Pacific U.S. states, to estimate the abundance of the Pacific black brant (Branta bernicla nigricans) in their principal wintering areas along the Pacific Coast (in Baja, Mexico, California, Oregon, Washington, British Columbia, and Alaska). The survey is conducted each winter in January-February by a composite of ground and aerial crews, with the Alaska portion being conducted by the Alaska Region of USFWS Migratory Bird Management. The primary objective of the Alaska survey component is to provide an annual index of...
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This file contains information on Dunlin resightings and recaptures along the East Asian-Australasian flyway, and elsewhere, including date and time, location, and band combination of resighting or recapture, as well as tagging information. A portion of these data (as indicated by field ‘Lagasse.2020’) were used to determine migration along the East Asian–Australasian Flyway (EAAF). General methods are available in Lagassé et al. 2020. Dunlin subspecies exhibit regional segregation and high site fidelity along the East Asian–Australasian Flyway. The Condor: Ornithological Applications 122. https://doi.org/10.1093/condor/duaa054. For this analysis data were restricted to resightings within the EAAF that occurred...
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The code repository for the quality controll processing, data creation, modelling, and mapping or trend estimation is at https://github.com/USFWS/ACP-Mapping. The full history of the quality control process and issues is documented in R code file in this repository. Please report any addition errors to https://github.com/USFWS/ACP-Mapping/issues and follow update of this repositiry to keep track of new errors and updates to data sets, maps, or trend estimates.
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This collection of files contains the reports that were produced when the raw data were quality-checked against the defined standards in the “Transcribed Data Dictionary” using the “GreenLight” function of the R Package “AKaerial.” The QC log files document the quality control process, data standards, and what changes (if any) were made in the QC data compared to the raw data. Each log file was named following the same file naming conventions: SSS_YYYY_QCLog_OOOO_yyyy-mm-dd, where; YKD = Duck data, YKG = Goose data or YYY=Year, OOOO = observer’s first initial and last name,yyyy-mm-dd = year, month, and day the AKaerial.R (“GreenLight”) function in was most recently executed
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The Arctic Coastal Plain Aerial Breeding Pair Survey provides data on distribution, abundance, and trend of 33 bird species that nest in northern Alaska. The survey has been conducted in its current form annually since 2007. Methods follow the standard operating procedures for the Waterfowl Breeding Population and Habitat Survey. Primary uses of the survey data are to evaluate recovery status of Spectacled Eider (Somateria fischeri) and Steller’s Eider (Polysticta stelleri), as well as monitor species of conservation concern including Lesser Snow Goose (Chen caerulescens caerulescens), Yellow-billed Loon (Gavia adamsii), Red-throated Loon (G. stellata), and Black Brant (Branta bernicla nigricans). Survey data are...
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River shown in panoramic images 568 and 569. Shown as it disappears in cavern. Aguadilla or Arecibo County, Puerto Rico. February 1922.
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The Seattle cluster is named for Seattle, Washington, U.S.A., a city considered to be at considerable risk from a great earthquake on the Cascadia subduction zone. The seismicity in the cluster occurs in two depth ranges, in the crust from ~5-30 km and on the slab interface at depths of 45-65 km. The cluster includes the 6.5 Ms earthquake on April 29, 1965 and the 6.6 Ms earthquake on February 28, 2001, both on the slab interface, and several magnitude 5.0-5.2 events in the crust. Station coverage in the area is exceptional, making epicentral location calibration very robust, but depth resolution is complicated by an exceptional degree of velocity heterogeneity beneath Puget Sound, where shear wave velocities are...
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Spatial data layers of stream crossing point locations, cross-section polyline, centerline polyline, and bank polyline shapefiles have been developed for selected stream crossings in the Squannacook River basin, Massachusetts. The spatial data and calculated attribute values are model input data for U.S. Army Corps of Engineer’s Hydrologic Engineering Center’s River Analysis System (HEC-RAS) hydraulic models. The stream crossing point locations were derived from the North Atlantic Aquatic Connectivity Collaboration (NAACC) database. The stream channel cross-sections, centerlines, and bank polylines were derived using automated methods in a Geographic Information System (GIS) using ArcGIS Pro and Python programming...
map background search result map search result map Wingate sandstone and Kayenta formation, Johnson Canyon. Kane County, Utah. 1939. River shown as it disappears in cavern. Aguadilla or Arecibo County, Puerto Rico. 1922. Ambient Groundwater Quality Monitoring in New York Alaska Science Center (ASC) Spatial Data Layers for Selected Stream Crossing Sites in the Squannacook River Basin, North-Central Massachusetts Building a Coastal Flood Hazard Assessment and Adaptation Strategy with At-Risk Communities of Alaska CVHM2: Central Valley Hydrologic Model version 2 Alaska Arctic Coastal Plain Breeding Waterbird Aerial Survey 2007-Present Alaska Arctic Coastal Plain Waterfowl Breeding Survey Data 2007 to 2023 Alaska Izembek Brant Winter Aerial Survey 1981-present Arctic Coastal Plain Aerial Survey Design Strata Arctic Coastal Plain Aerial Survey Github Code Repository Alaska Yukon-Kuskokwim Delta Aerial Survey Raw Data Quality Reports Japan, Uwajima: 1964-2024 USA, Washington, Seattle: 1965-2023 Alaska Red Knot Breeding Ecology Study 2010-Present Alaska Red Knot Breeding Ecology Nest Data 2010-Present Alaska Red Knot Breeding Ecology Brood Data 2010-Present Dunlin resightings along East Asian–Australasian Flyway Spatial Data Layers for Selected Stream Crossing Sites in the Squannacook River Basin, North-Central Massachusetts Japan, Uwajima: 1964-2024 USA, Washington, Seattle: 1965-2023 Alaska Izembek Brant Winter Aerial Survey 1981-present Alaska Red Knot Breeding Ecology Study 2010-Present Alaska Red Knot Breeding Ecology Nest Data 2010-Present Alaska Red Knot Breeding Ecology Brood Data 2010-Present Alaska Yukon-Kuskokwim Delta Aerial Survey Raw Data Quality Reports CVHM2: Central Valley Hydrologic Model version 2 Ambient Groundwater Quality Monitoring in New York Alaska Arctic Coastal Plain Breeding Waterbird Aerial Survey 2007-Present Alaska Arctic Coastal Plain Waterfowl Breeding Survey Data 2007 to 2023 Arctic Coastal Plain Aerial Survey Design Strata Arctic Coastal Plain Aerial Survey Github Code Repository Alaska Science Center (ASC) Building a Coastal Flood Hazard Assessment and Adaptation Strategy with At-Risk Communities of Alaska Dunlin resightings along East Asian–Australasian Flyway