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Observer-specific population indices for the USFWS Region Migratory Bird Management Arctic Coastal Plain study area. The survey consists of low-level aerial observations of waterfowl on a stratified strip transect design. The resulting data frame is several indices separated by observer and calculated using a standard ratio estimator. These data are output from the R package AKaerial and are also available within that package, see https://github.com/USFWS/AKaerial. The data used to produce these estimates contain known errors. Many but not all of these errors are corrected within the R package AKaerial. These data are presented for historical purposes only. See https://github.com/USFWS/ACP-Mapping and comments within...
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This collection contains the original “raw” survey data that were recorded and transcribed by each observer during the Yukon-Kuskokwim Delta (YKD) Aerial Breeding Pair Survey. Left-front and right-front seat observers recorded data on geese, swans, and cranes since 1985, while data on eiders, ducks, and waterbirds was recorded by a right-rear seat observer since 1989. These raw transcribed data should be used to produce updated quality-control (QC) datasets by running the quality assurance/quality control script “AKaerial.R” whenever the quality control procedures are revised or modified. The data files in this collection were named using the following naming convention: YKD(YKG)YYYY_RawObs_OOOO, where YKD=Duck...
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This is a comma delimited text file of the bird observations for the Arctic Coastal Plain survey. These observations have undergone an extensive quality control process that is ongoing and corrected several errors in the source data. Point observation of birds are given in coordinate reference system EPSG:4326 and are accurate only to +/- 500m. The field "Year" gives the calendar year that the survey was flown, "Stratum" gives the transect density strata name, "NavTransect" gives the transect identifier used for navigation by the pilot (this is not necessarily the same as the design transect), and "Obs_Type" is the social group (single, pair, etc.) of the bird observation, "Num" is the number of observation of...
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This dataset summarizes impairment status for HUC12 watersheds at the CONUS scale using the EPA publicly available Assessment, Total Maximum Daily Load (TMDL) Tracking and Implementation System (ATTAINS) geospatial package and the USGS Watershed Boundary Dataset (WBD). ATTAINS is an online system maintained by the EPA containing information about the condition of the Nation’s surface waters, as reported by individual states. These data were downloaded in October 2023 and primarily reflect 2022 stream conditions. Because of the varying data types that exist in the database, an independent methodology was developed for summarizing impairment status for HUC12 watersheds using the USGS WBD as detailed in this metadata...
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The Yukon-Kuskokwim Delta (YKD) Aerial Breeding Pair Survey provides data on the spring abundance of targeted waterfowl species nesting on the YKD coastal zone in western Alaska. This region supports millions of waterbirds that comprise one of the largest and most important waterfowl breeding grounds in North America, including species of concern such as the red-throated loon (Gavia stellata), emperor goose (Chen canagica), Pacific black brant (Branta bernicla nigricans), common eider (Somateria mollissima), black scoter (Melanitta nigra), long-tailed duck (Clangula hyemalis), and the threatened spectacled eider (Somateria fischeri). The YKD goose, swan, and crane survey was first implemented in 1985 to monitor...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, All tags...
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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 is an SQLite GeoPackage simple feature linestring vector database of the Arctic Coastal Plain survey flow tracks in coordinate reference system EPSG:4326. There is one layer for each year 2007 to 2023. The field”Year” gives the calendar year that the transects were flown, “Stratum” gives the strata name, “NavTransect” gives the transect identifier used for navigation by the pilot (this is not necessarily the same as the design transect), and the “geom” field gives the simple feature Well Known Text geometry data of the approximate flight path recreated from bird observations. See the GitHub site https://github.com/USFWS/ACP-Mapping for more information. This product was produced from the file ACPmapping.R and...
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This project aims to estimate spatial and temporal trends of waterfowl and waterbirds on the Arctic Coastal Plain (ACP) of Alaska from 2007 to present. The main approach is motivated by Amundson et al. (2019) using space-time generalized additive models (GAMs, Wood 2017) but with some improvements to handle observer effects and to associate sampling effort to specific spatial locations along a sampled transect similar to Miller et al. (2013). As part of this effort, a major data quality control process was begun in March 2022 that led to the correction of many data errors and re-formatting of the original 2007 to 2023 data to make it more accessible and usable to outside partners (original raw data available here)....
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Note: this data release is currently being revised and is temporarily unavailable The U.S. Geological Survey (USGS) Water Resources Mission Area (WMA) is working to address a need to understand where the Nation is experiencing water shortages or surpluses relative to the demand for water need by delivering routine assessments of water supply and demand and an understanding of the natural and human factors affecting the balance between supply and demand. A key part of these national assessments is identifying long-term trends in water availability, including groundwater and surface water quantity, quality, and use. This data release contains Mann-Kendall monotonic trend analyses for 18 observed annual and monthly...
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This digital dataset contains groundwater level observations for 364 wells, in addition to well construction information, from 1916 to 2014 in the Central Valley, California. Groundwater level observations are used to create groundwater level contours and to calibrate the groundwater levels for the updated Central Valley Hydrologic Model (CVHM2). Groundwater level observations were collected from five sources (USGS, 2018; SLDMWA, 2018; CADWR, 2004; CRNA, 2018).
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This collection contains the quality-control (QC) transcribed data from the Arctic Coastal Plain 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. The data files in this collection were named using the following naming convention: ACP_YYYY_QCObs_OOOO, where ACP=Arctic Coastal Plain, YYYY=Year, QCObs=Quality control observations, and OOOO=observer’s first initial and last name. These data contain known errors. These data should not be used except as raw input for...
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This collection contains the report log files produced by the R Package “AKaerial” when the QC data were created from the raw transcribed data. The QC log files document the quality control process, data standards, and what changes (if any) were made to the QC data compared to the raw data. Each log file was named following the same file naming conventions:SSSYYYY_QCLog_OOOO, where;YKD=Duck data, YKG=Goose data, YYY=Year, and OOO=observer’s first initial and last name.
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The Central Valley, and particularly the San Joaquin Valley, has a long history of land subsidence caused by groundwater development. The extensive withdrawal of groundwater from the unconsolidated deposits of the San Joaquin Valley lowered groundwater levels and caused widespread land subsidence—reaching 9 meters by 1981. More than half of the thickness of the aquifer system is composed of fine-grained sediments, including clays, silts, and sandy or silty clays that are susceptible to compaction. In an effort to aid water managers in understanding how water moves through the aquifer system, predicting water-supply scenarios, and addressing issues related to water competition, the United States Geological Survey...
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Chronic Wasting Disease (CWD) is a fatal, contagious, neuro-degenerative disease affecting multiple members of the Family Cervidae. First detected in 1967, the disease has, as of April 2024, been documented in free-ranging and/or captive cervid populations in 33 states, five Canadian provinces, the Republic of South Korea, Norway, Sweden, and Finland. The data provided here contains information on the known, available, documented distribution of CWD in the United States that is current as of the publication date. The USGS National Wildlife Health Center (NWHC) tracks changes to the known distribution of CWD in the form of a map (available on the NWHC website at https://www.usgs.gov/centers/nwhc/science/expanding-distribution-chronic-wasting-disease....
Categories: Data, Data Release - Revised; Types: Citation; Tags: Alabama, Alaska, American Samoa, Arizona, Arkansas, All tags...
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This multi-layer GeoPackage contains the YKD Coastal Zone Survey design transects from 1985 to present. The original transects were imported to this SQLite database structure and saved as individual polylines named according to the year they were created (e.g., “main.YK_1985_Trans,” “main.YK_1986_Trans,” “main.YK_1987_Trans,” etc.). The aerial transects were developed systematically from randomly-selected start points and created along constant lines of latitude. The inter-transect spacing in the low, medium, high, and very-high density strata varies so that areas with higher waterfowl density are surveyed more intensively. Though the overall study area never changed, the YKD Survey design was modified several times,...
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Nature’s Network Conservation Design depicts an interconnected network of lands and waters that, if protected, will support a diversity of fish, wildlife, and natural resources that the people of the Northeast and Mid-Atlantic region depend upon. This map serves as the “cover page” for the Nature’s Network (naturesnetwork.org) suite of products: it outlines some of the most important natural areas in the region and provides an entry point to learn more about the information used to identify them. The Conservation Design represents a combination of three Nature’s Network products: 1) the terrestrial core-connector network, 2) aquatic core areas, and 3) core habitat for imperiled species. The Terrestrial Core-connector...
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This data release contains observation data, design transects, design strata, analysis estimates output, and associated metadata from the Alaska Arctic Coastal Plain Aerial Breeding Pair Survey. The Alaska 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 with the exception of years 2020 and 2021. Methods generally 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...
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This geopackage contains the density strata that were used to create the YKD Coastal Zone Survey’s current four-year rotating panel design. This file was derived from a mid-1980’s ArcInfo coverage, ‘Sampling Intensity’ (“SI arc”) that was produced through the visual interpretation of 1:250,000-scale LANDSAT imagery and the nesting density of cackling Canada geese.
This file crosswalks each species in the raw transcribed data to a common name, scientific name, four-letter American Ornithological Union (AOU) species code, and provides species-specific decision logic for the analysis of Arctic Coastal Plain, Black Scoter, Copper River, and Yukon-Kuskokwim Delta aerial survey data.
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These data are monthly median observed streamflow from 32 gages in the Central Valley for comparison to the updated Central Valley Hydrologic Model (CVHM2). The locations of these gages are shown in the shape file.
map background search result map search result map Chronic Wasting Disease distribution in the United States by state and county (ver. 2.0, April 2024) Nature’s Network Conservation Design, Northeast U.S. Interferometric Synthetic Aperture Radar Data Used as Subsidence Observations for Model Calibration, Central Valley, California Central Valley Hydrologic Model (CVHM2): Groundwater Level Observations Central Valley Hydrologic Model (CVHM2): Monthly Median Observed Streamflow Alaska Arctic Coastal Plain Aerial Breeding Pair Survey QC Transcribed Data 2007-present EPA Impaired Waters presence and causes for HUC12 watersheds across the Conterminous U.S. Arctic Coastal Plain Waterfowl and Waterbird Spatial and Temporal Trends Arctic Coastal Plain Aerial Survey Bird Observations Arctic Coastal Plain Aerial Survey Approximate Fight Lines Alaska Arctic Coastal Plain Aerial Breeding Pair Survey Packaged Data and Output Files Alaska Arctic Coastal Plain Aerial Survey Expanded Index Estimates 2007-2023 Long-term monotonic trends in annual and monthly streamflow metrics at streamgages in the United States (Under Revision) Alaska Yukon-Kuskokwim Delta Aerial Breeding Pair Survey Alaska Yukon-Kuskokwim Delta Aerial Survey Design Strata Alaska Yukon-Kuskokwim Delta Aerial Survey Design Transects Alaska Yukon-Kuskokwim Delta Aerial Survey Raw Transcribed Data Alaska Yukon-Kuskokwim Delta Aerial Survey Analysis File Summary Reports Alaska Yukon-Kuskokwim Delta Aerial Survey QC Transcribed Data Interferometric Synthetic Aperture Radar Data Used as Subsidence Observations for Model Calibration, Central Valley, California Alaska Yukon-Kuskokwim Delta Aerial Breeding Pair Survey Alaska Yukon-Kuskokwim Delta Aerial Survey Design Strata Alaska Yukon-Kuskokwim Delta Aerial Survey Design Transects Alaska Yukon-Kuskokwim Delta Aerial Survey Raw Transcribed Data Alaska Yukon-Kuskokwim Delta Aerial Survey Analysis File Summary Reports Alaska Yukon-Kuskokwim Delta Aerial Survey QC Transcribed Data Central Valley Hydrologic Model (CVHM2): Groundwater Level Observations Central Valley Hydrologic Model (CVHM2): Monthly Median Observed Streamflow Alaska Arctic Coastal Plain Aerial Survey Expanded Index Estimates 2007-2023 Alaska Arctic Coastal Plain Aerial Breeding Pair Survey QC Transcribed Data 2007-present Arctic Coastal Plain Aerial Survey Bird Observations Alaska Arctic Coastal Plain Aerial Breeding Pair Survey Packaged Data and Output Files Arctic Coastal Plain Waterfowl and Waterbird Spatial and Temporal Trends Arctic Coastal Plain Aerial Survey Approximate Fight Lines Nature’s Network Conservation Design, Northeast U.S. EPA Impaired Waters presence and causes for HUC12 watersheds across the Conterminous U.S. Chronic Wasting Disease distribution in the United States by state and county (ver. 2.0, April 2024) Long-term monotonic trends in annual and monthly streamflow metrics at streamgages in the United States (Under Revision)