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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...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ANIMALS/VERTEBRATES,
BIOLOGICAL CLASSIFICATION,
BIRDS,
Data,
EARTH SCIENCE,
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...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ANIMALS/VERTEBRATES,
Arctic,
BIOLOGICAL CLASSIFICATION,
BIRDS,
Data,
Annual protocol documents providing detailed information on annual data collection methods.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ANIMALS/VERTEBRATES,
BIOLOGICAL CLASSIFICATION,
BIRDS,
Document,
EARTH SCIENCE,
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...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ANIMALS/VERTEBRATES,
BIOLOGICAL CLASSIFICATION,
BIRDS,
Data,
EARTH SCIENCE,
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...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ANIMALS/VERTEBRATES,
Arctic,
BIOLOGICAL CLASSIFICATION,
BIRDS,
EARTH SCIENCE,
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...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ALMS,
Arctic,
Data,
EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > ANIMALS/VERTEBRATES > BIRDS,
biota,
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 by delivering routine assessments of water 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 annual groundwater metrics at 39,964 wells located in the conterminous United States, Alaska, Hawaii, and Puerto Rico. The groundwater metrics include annual mean, maximum, and minimum water level and the timing of the annual...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Hydrology,
USGS Science Data Catalog (SDC),
United States,
groundwater,
trend,
Avian survey tabular dataset (including point count and area search surveys) for Joint Base Elmendorf-Richardson, 2007 to present.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ANIMALS/VERTEBRATES,
BIOLOGICAL CLASSIFICATION,
BIOSPHERE,
BIOSPHERE,
BIOSPHERE,
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...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ANIMALS/VERTEBRATES,
BIOLOGICAL CLASSIFICATION,
BIRDS,
Data,
EARTH SCIENCE,
A reach of the North Santiam River, Oregon, was used as a case study in an ongoing effort to develop and test uncrewed aircraft system (UAS)-based salmon habitat mapping techniques using: (1) particle image velocimetry (PIV) for estimating surface flow velocities from remotely sensed data; and (2) two-dimensional (2D) flow modeling based on remotely sensed topography and bathymetry (topo-bathymetry). Direct measurements of flow velocity were obtained using an acoustic Doppler current profiler (ADCP) and used to assess the accuracy of the image-derived velocity estimates and modeled flow fields. Water depth was measured using a single beam echosounder and was used to calibrate and validate image-derived depth estimates...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Aquatic Biology,
Ecology,
Geomorphology,
Hydrology,
Image velocimetry,
Banding tabular dataset for the Migration Phenology Study (Short-billed Dowitcher, Long-billed Dowitcher, American Golden-Plover, Pacific Golden-Plover, Lesser Yellowlegs, and Greater Yellowlegs) 2022-present, and Upland Sandpiper Study 2021-present in DOD and adjacent lands across Alaska.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ANIMALS/VERTEBRATES,
Alaska,
American Golden-Plover (Pluvialis dominica),
BIOLOGICAL CLASSIFICATION,
BIOSPHERE,
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...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ANIMALS/VERTEBRATES,
BIOLOGICAL CLASSIFICATION,
BIRDS,
CRANES AND ALLIES,
DUCKS/GEESE/SWANS,
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)....
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ANIMALS/VERTEBRATES,
BIOLOGICAL CLASSIFICATION,
BIRDS,
CRANES AND ALLIES,
DUCKS/GEESE/SWANS,
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.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ANIMALS/VERTEBRATES,
BIOLOGICAL CLASSIFICATION,
BIOSPHERE,
BIRDS,
DUCKS/GEESE/SWANS,
This multi-layer GeoPackage contains the Alaska Arctic Coastal Plain Aerial Breeding Pair Survey design transects from 2007 to present. The original transects were created as shapefiles and imported to this SQLite database. Transects were saved as individual polylines named according to the year they were created (e.g., “main.ACP_2007_Trans,” “main.ACP_2008_Trans,” “main.ACP_2009_Trans,” etc.). These 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. The current four-year rotating...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ANIMALS/VERTEBRATES,
BIOLOGICAL CLASSIFICATION,
BIOSPHERE,
BIRDS,
DATA ANALYSIS AND VISUALIZATION,
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...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: AK,
Alaska,
Burn severity,
Burned area,
CONUS,
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...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: AK,
Alaska,
Burn severity,
Burned area,
CONUS,
Fire history metrics enable rapidly increasing amounts of burned area data to be collapsed into a handful of data layers that can be used efficiently by diverse stakeholders. In this effort, the U.S. Geological Survey's Landsat Burned Area product was used to identify burned area across CONUS over a 40-year period (1984-2023). The Landsat BA product was consolidated into a suite of annual BA products, which in-turn were used to calculate a series of contemporary fire history metrics (30 m resolution). Fire history metrics included: (1) fire frequency (FRQ), (2) time since last burn (TSLB) and (3) year of last burn (YLB), (4) longest fire-free interval (LFFI), and (5) average fire interval length (FIL). All metrics...
Categories: Data,
Data Release - Revised;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Landsat,
USGS Science Data Catalog (SDC),
United States,
burned area,
fire frequency,
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...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: AK,
Alaska,
Burn severity,
Burned area,
CONUS,
These data products are preliminary burn severity assessments derived from data obtained from suitable imagery (including Landsat TM, Landsat ETM+, Landsat OLI, Sentinel 2A, and Sentinel 2B). The pre-fire and post-fire subsets included were used to create a differenced Normalized Burn Ratio (dNBR) image. The dNBR image attempts to portray the variation of burn severity within a fire. The severity ratings are influenced by the effects to the canopy. The severity rating is based upon a composite of the severity to the understory (grass, shrub layers), midstory trees and overstory trees. Because there is often a strong correlation between canopy consumption and soil effects, this algorithm works in many cases for Burned...
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