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This data set, compiled by the USGS Lake Erie Biological Station, provides near-bottom measurements of temperature and dissolved oxygen for the Central Basin of Lake Erie. Data were recorded by self-contained environmental data loggers (PME, Inc., MiniDOT data loggers). The data loggers were deployed to collect data during August 2021 through November 2022 to better understand how hypoxia develops and influences fish habitat quality during lake stratification. The data loggers were deployed on acoustic telemetry receivers in a network designed to record tagged fish movements (Great Lakes Acoustic Telemetry Observation System, GLATOS). Additional years of data collection are planned, and data release will be updated...
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This data set, compiled by USGS Lake Erie Biological Station, provides near-bottom measurements of temperature and dissolved oxygen for the Central Basin of Lake Erie. Data were recorded by self-contained environmental data loggers (PME, Inc., MiniDOT data loggers). The data loggers were deployed during the stratified period (i.e., beginning of June 2020 through late October 2020) to better understand how hypoxia develops and influences fish habitat quality. The data loggers were deployed on acoustic telemetry receivers in a network designed to record tagged fish movements (Great Lakes Acoustic Telemetry Observation System, GLATOS). Additional years of data collection are planned, and data release will be updated...
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The dataset is composed of four tables containing environmental DNA (eDNA) data, fish capture data, and site location information from Round Goby (Neogobius melanostomus) surveys conducted on parts of the Champlain Canal and upper Hudson River, and adjacent areas, in New York during 2022 and 2023. First posted May 5, 2022, ver. 1.0 Revised June 2022, ver. 2.0 Revised August 2022, ver. 3.0 Revised November 2022, ver. 4.0 Revised February 2023, ver. 5.0 Revised May 2023, ver. 6.0 Revised June 2023, ver. 7.0 Revised September 2023, ver. 8.0 Revised October 2023, ver. 9.0 Revised December 2023, ver. 10.0
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The USGS, in cooperation with the U.S. Bureau of Land Management (BLM), created a series of geospatial mapping products of the Scotts Creek Watershed in Lake County, California, using National Agriculture Imagery Program (NAIP) imagery from 2018, 2020 and 2022 and Open Street Map (OSM) from 2019. The imagery was downloaded from United States Department of Agriculture (USDA) - Natural Resources Conservation Service (NRCS) Geospatial Data Gateway (https://datagateway.nrcs.usda.gov/) and Geofabrik GmbH - Open Street Map (https://www.geofabrik.de/geofabrik/openstreetmap.html), respectively. The imagery was classified using Random Forest (RF) Modeling to produce land cover maps with three main classifications - bare,...
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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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R code that takes in the nest capture history data (chdata.csv), reformats it for model fitting in the Bayesian MCMC software JAGS via the R package jagsUI. Various generalized linear mixed models are fit using a Huggins two occasion capture history model structure as in Program Mark. A series of models of increasing complexity are fit and compared using DIC. Model text is written to text files for each model but is generally not used or saved. Posteriors are saved as Rworkspaces or written to text files for use in population estimation (nostpop.R). Code can be run to generate model results and R workspaces/objects to inspect parameter estimates. The primary purpose of this code is to compare various mixed model...
Categories: Data, Software; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, BIOLOGICAL CLASSIFICATION, BIOLOGICAL CLASSIFICATION, All tags...
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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...
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The USGS, in cooperation with the U.S. Bureau of Land Management (BLM), created a series of geospatial products of the Scotts Creek Watershed in Lake County, California, using National Agriculture Imagery Program (NAIP) imagery from 2018, 2020 and 2022. The imagery was downloaded from United States Department of Agriculture (USDA) - Natural Resources Conservation Service (NRCS) Geospatial Data Gateway (https://datagateway.nrcs.usda.gov). The NAIP imagery from 2018, 2020 and 2022 was classified using Random Forest Modeling to produce land cover maps with three main classifications – bare, vegetation, and shadows. A total of 600 independent reference points were used in the accuracy assessment. The overall accuracy...
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Note: this data release has been superseded by version 2.0, available here: https://doi.org/10.5066/P974VCDK. This dataset contains information on the physical traits and environmental tolerances of plant species occurring along the lower Colorado River through Grand Canyon. Due to the unique combination of plant species within the Grand Canyon, this flora shares species with many riparian areas in the western U.S.A. and represents obligate wetland to obligate upland plant species. Data for the matrix were compiled from published scientific papers, unpublished reports, plant fact sheets, existing trait databases, regional floras, and plant guides. Categorical, ordinal, and continuous data are included in this dataset....
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The South Atlantic Conservation Blueprint is a living spatial plan to conserve natural and cultural resources for future generations. It identifies shared conservation priorities across the South Atlantic region. The third iteration of the Blueprint, Version 2.1, was released in August 2016. It used comparable methods and the same spatial scale as Blueprint 2.0, just incorporating updated information for many of the indicators. Version 2.1 was a completely data-driven plan based on ecosystem indicator models for terrestrial, freshwater, and marine environments, as well as a connectivity analysis. It used a 200 m spatial scale. More than 400 people from 100 organizations participated in the development of the Blueprint...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2016, ANTHROPOGENIC/HUMAN INFLUENCED ECOSYSTEMS, AQUATIC ECOSYSTEMS, Academics & scientific researchers, Applications and Tools, All tags...
FWS and USGS will collaborate to improve the decision science foundation of the South Atlantic Conservation Blueprint. The Blueprint prioritizes areas for shared conservation action in the South Atlantic geography. Priorities in Blueprint 2.0 are driven by natural and cultural resource indicator models and a connectivity analysis.The Conservation Blueprint is a living spatial plan for sustaining natural and cultural resources in the face of future change. More than 400 people from over 100 organizations have actively participated so far in developing the Blueprint.
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This dataset includes results from an ongoing annual trapping effort targeting aquatic turtles at two urban ponds in Lafayette, Louisiana. This project began in 2009 and consists of five days of active and passive trapping each May. This project is ongoing with plans to continue in May of 2022.
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This U.S. Geological Survey data release consists multiple datasets used to simulate the extents of flood inundation along the Muddy River, near Moapa, Nevada. Flood-inundation extents equal the maximum area of flood inundation and were estimated using a coupled one-dimensional (1D) and two-dimensional (2D) hydraulic model. The modeled extents represent six annual exceedance probabilities simulated for the current (2019) levee location adjacent to the Muddy River and a new levee location associated with a proposed restoration of a selected reach along the Muddy River. The data release includes: 1) a polygon dataset of the flood-inundation extents (MuddyRiver_Flood_Inundation_p.shp); 2) a zip file containing all...
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This point shapefile contains positional data for 2,205 locations at the Muddy River, near Moapa, Nevada, April 1 to August 9, 2019. Positional data were collected using either a single-base real-time kinematic (RTK) global navigation satellite system (GNSS) or a total station. The survey data primarily were used to define 105 cross-sections, with a secondary use as vertical precision verification for lidar data.
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This polygon shapefile represents the boundaries of the current (2019) and proposed levee locations used to simulate flood-inundation extents for the at Muddy River, near Moapa, Nevada. The new levee location is proposed as part of a river restoration plan for selected reaches of the Muddy River.
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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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This R code (eggs.R) inputs the quality controlled nest card data and (1) performs additional quality control on the egg code data, (2) reformat the eggs data into a tidy file of egg observations, (3) summarizes egg data into yearly means of initiation and hatch date based on incubation model, and (4) writes csv files for tidy egg data (eggs.csv) and yearly nest stats (yearstats.csv).
Categories: Data, Software; 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 data set provides the coordinates of plot centers, the area of each plot, plot type, and search history of the plot. Plots in this data set are linked through the combination of plot number and year provided in this file. Plot search history indicates if a plot was searched for nests. Plot shape and area has varied through time. After 1985, plot were selected by stratified random sampling, and after 1998 by simple random sampling from the area defined in ‘YKD Nest Plot Study Area Boundary.’ Plot shape has also varied but after 1998 was generally 1/4 by 1/2 mile.
Categories: Data; 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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In 2019 a pilot study was conducted to determine the feasibility of using distance sampling to estimate density and population size of goose and eider nests on the Yukon-Kuskokwim Delta (YKD). Distance sampling (Buckland et al. 2001) is a common and well-understood method to estimate wildlife population size or density, especially for sparse and hard-to-detect populations. A main advantage of distance sampling is that it accounts for imperfect detection and gives precise estimates for a given level of effort relative to other methods. The objectives for the pilot project in 2019 was to (1) determine if distance sampling is feasible on the YKD, (2) determine what aspects of the field protocol need to be changed or...
map background search result map search result map Southwestern Riparian Plant Trait Matrix, Colorado River, Grand Canyon, 2014 to 2016—Data South Atlantic Conservation Blueprint Version 2.1 Data from an annual trapping effort of an urban aquatic turtle population in Lafayette, Louisiana from 2009-2021 Geospatial data, flood-frequency analysis, and surface-water model archive for flood-inundation maps of the Muddy River, near Moapa, Nevada Bottom dissolved oxygen measurements from Lake Erie's Central Basin, 2020 5) Real-time kinematic global navigation satellite system (GNSS) and total station (TS) survey points at Muddy River, near Moapa, Nevada 4) Current and proposed levee locations at Muddy River, near Moapa, Nevada Environmental DNA data for Round Goby from the Champlain Canal (ver. 10.0, December 2023) Alaska Arctic Coastal Plain Aerial Breeding Pair Survey Design Transect Geodata Bottom dissolved oxygen measurements from Lake Erie's Central Basin, 2021-2022 Geospatial mapping products derived from 2018, 2020, and 2022 NAIP aerial imagery for the Scotts Creek Watershed, Lake County, CA Land Cover Maps for the Scotts Creek Watershed, Lake County, California for 2018, 2020, and 2022 Alaska Yukon Delta Nest Distance Sampling Pilot Project Alaska Yukon Delta Nest Plot Survey Detection Model Fitting Code Using R and JAGS Alaska Yukon Delta Nest Plot Survey Legacy Nest Card Data 1985 - 2019 Alaska Yukon Delta Plot Location, Size, and Search Historic Data 1985 - 2019 Alaska Yukon Delta Tidy Eggs data R Code Alaska Yukon-Kuskokwim Delta Aerial Survey Design Transects Alaska Yukon-Kuskokwim Delta Aerial Survey Analysis File Summary Reports Data from an annual trapping effort of an urban aquatic turtle population in Lafayette, Louisiana from 2009-2021 4) Current and proposed levee locations at Muddy River, near Moapa, Nevada 5) Real-time kinematic global navigation satellite system (GNSS) and total station (TS) survey points at Muddy River, near Moapa, Nevada Geospatial data, flood-frequency analysis, and surface-water model archive for flood-inundation maps of the Muddy River, near Moapa, Nevada Environmental DNA data for Round Goby from the Champlain Canal (ver. 10.0, December 2023) Alaska Yukon Delta Nest Distance Sampling Pilot Project Bottom dissolved oxygen measurements from Lake Erie's Central Basin, 2020 Southwestern Riparian Plant Trait Matrix, Colorado River, Grand Canyon, 2014 to 2016—Data Alaska Yukon Delta Nest Plot Survey Detection Model Fitting Code Using R and JAGS Alaska Yukon Delta Nest Plot Survey Legacy Nest Card Data 1985 - 2019 Alaska Yukon Delta Plot Location, Size, and Search Historic Data 1985 - 2019 Alaska Yukon Delta Tidy Eggs data R Code Bottom dissolved oxygen measurements from Lake Erie's Central Basin, 2021-2022 Alaska Yukon-Kuskokwim Delta Aerial Survey Design Transects Alaska Yukon-Kuskokwim Delta Aerial Survey Analysis File Summary Reports Alaska Arctic Coastal Plain Aerial Breeding Pair Survey Design Transect Geodata South Atlantic Conservation Blueprint Version 2.1