Skip to main content
Advanced Search

Filters: Categories: Data (X) > Date Range: {"choice":"month"} (X) > Tags: {"scheme":"https://earthdata.nasa.gov/gcmd-forum"} (X)

53 results (41ms)   

View Results as: JSON ATOM CSV
thumbnail
This R code (Nest_Cards_QC.R) is used to process the raw legacy nest card data (1985 - 2019) and produce the quality controlled legacy nest card data for analysis and sharing. This code does not quality control the double searched plots (R2 plots in 1995-99), which is done in the file ‘PrepData.R’. Basic operations include transforming missing value to a common code, transforming other variable to match the data dictionary for nest cards, and resolving non-unique observer initials. The code requires the raw data (“1985-2019_Nest Cards_10-24-19_cleaned.xlsx”) and the table of observer names (“Observer Names_1985-2019_10-24-19.xlsx”). The code writes the QC nest card file “Nest_Cards_1985_2019_QC.csv”. Mostly obseration...
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...
thumbnail
This is the quality controlled YKD salinity data for fixed and random plots 2006 - 2019. These data are quality controlled using the R code in the file ‘YKDsalinity_QC.R’ to produce the data used for analysis and sharing (‘YKDsalinity_QC.R’). These data should be what is used for analysis or distributed on request.
thumbnail
These are the images associated with the project, including: (1) OriginalImages: original 863 images provided to West Inc from USFWS and others for model training; (2) YoloSliced: 1897 programmatically cropped original images used for training a YOLO Model (300 x 300 pixels); (3) OriginalImages_Box: 785 annotated images; (4) YoloSliced_Box: 1897 annotated sliced images.
thumbnail
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...
thumbnail
Annual assessment of nesting populations of geese on the Yukon-Kuskokwim Delta (YKD) provides information for biologists, participants in cooperative goose management plans, and Pacific Flyway technical committees. A ground-based sampling procedure has been used since 1986 to estimate the number of total nests, active nests, and eggs for cackling geese, emperor geese, greater white-fronted geese, and spectacled eiders. Annual information on the size of the nesting population and potential number of young produced contributes long term data needed to understand goose and eider population ecology and better manage these species. The survey has been the primary method of measuring recovery status for the western population...
thumbnail
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...
thumbnail
R code that takes in the nest capture history data (chdata.csv), reformats it for model fitting in Program Mark via the R package RMark. A series of models of increasing complexity are fit and compared using AIC. Output is written to text files for each model but is generally not used or saved. Code can be run to generate model results and R workspaces/ object to inspect parameter estimates. The primary purpose of this code is to explore model structures for predicting detection and as an attempt to reproduce historically used parameter estimates in past nest plot reports (e.g., Fischer et al. 2017 and earlier). Results from ‘Model 7’ are most similar to detection estimates used in the past.
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...
thumbnail
These are the observer names, observer initials, year, and unique observer number for all observe that collected data on the YKD nest plot project from 1985 to 2019. This data is used with the nest card data to in various ways, but primarily to calculate cumulative observer experience for nest detection rates. This file is also used for quality control and reconciling non-unique observer initials across years.
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...
thumbnail
This R code (YKDsalinity_QC.R) is used to process the raw legacy salinity data for fixed and random plots (2006 - 2019) and produce the quality controlled legacy salinity data for analysis and sharing (YKDsalinity_QC.csv). Basic operations include transforming missing value to a common code, transforming other variables to match the data dictionary, and cleaning spatial location issues. Of special note is that this QC process discover significant error in location data due to a variety of reasons so the random plot centers are added to the data table and should be used for analysis. The code requires the raw data (“Official_YKD.SALINITY.DATA.MASTER.2020.csv”), a definition of the nest plot study area (“NestPlotStudyAreaBoundary.geojson”),...
thumbnail
This is the YKD egg observation data reformatted from the nest card data (‘Nest_Cards_1985_2019_QC.csv’). The file eggs.R is used to produce this data set, and then this is further summarized into yearly stats on mean initiation and hatch dates to produce the file yearstats.csv.
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...
thumbnail
From 1995 to 1999, a subset of nest plots were searched twice by field crews to estimate nest detection probability by mark-recapture methods. Over the five years, 30 plots were searched twice and over 2700 unique nests were found. From these data, nest detection probability is estimated using a Huggins-type mark recapture model where individual-level covariate effects of nest and observer attributes were estimated. These estimates are then used to predict nest detection rates in other years based on covariates of nests and observers. Nest detection rates are then applied to annual plot search to estimate nest populations for each species in the sampled area.
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...
thumbnail
The SeaDuckDetectoR is software designed to identify sea ducks and other avian species in aerial photographs. The program is run through R and RStudio. The product includes a .zip file “SeaDuckDetectoR.0.1.0.zip” with the files for installation, and a manual “SeaDuckDetectoR_Manual.docx” explaining how to run the program.
thumbnail
This geopackage contains the density strata that were used to create the Alaska Arctic Coastal Plain Aerial Breeding Pair Survey four-year rotating panel design. This file was derived from a mid-1980’s ArcInfo coverage for the North Slope Eider Survey that was produced through the visual interpretation of 1:250,000-scale LANDSAT imagery and the known nesting density waterfowl in the area.
A number of modeling approaches have been developed to predict the impacts of climate change on species distributions, performance and abundance. The stronger the agreement from models that represent different processes and are based on distinct and independent sources of information, the greater the confidence we can have in their predictions. Evaluating the level of confidence is particularly important when predictions are used to guide conservation or restoration decisions. We used a multi-model approach to predict climate change impacts on big sagebrush (Artemisia tridentata), the dominant plant species on roughly 43 million hectares in the western United States and a key resource for many endemic wildlife species....
Understanding how annual climate variation affects population growth rates across a species’ range may help us anticipate the effects of climate change on species distribution and abundance. We predict that populations in warmer or wetter parts of a species’ range should respond negatively to periods of above average temperature or precipitation, respectively, whereas populations in colder or drier areas should respond positively to periods of above average temperature or precipitation. To test this, we estimated the population sensitivity of a common shrub species, big sagebrush (Artemisia tridentata), to annual climate variation across its range. Our analysis includes 8175 observations of year-to-year change in...
thumbnail
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...
thumbnail
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...
thumbnail
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...
thumbnail
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...


map background search result map search result map Alaska Arctic Coastal Plain Aerial Breeding Pair Survey Design Transect Geodata Alaska Arctic Coastal Plain Aerial Breeding Pair Survey Design Strata Geodata Alaska Arctic Coastal Plain Aerial Breeding Pair Survey QC Transcribed Data 2007-present Arctic Coastal Plain Aerial Survey Bird Observations Arctic Coastal Plain Aerial Survey Approximate Flight Lines Automated Sea Duck Counts from Aerial Imagery: Imagery Files Automated Sea Duck Counts from Aerial Imagery: SeaDuckDetectoR Program Alaska Arctic Coastal Plain Aerial Survey Expanded Index Estimates 2007-2023 Alaska Yukon Delta Detection Model Fitting Code Using R and RMark Alaska Yukon Delta Double Observer Nest Plot Detection Alaska Yukon Delta Nest Plot Survey Detection Model Fitting Code Using R and JAGS Alaska Yukon Delta Nest Plot Distance Sampling Field Protocol Alaska Yukon Delta Nest Plot Survey Legacy Nest Card Quality Control R Code Alaska Yukon Delta Nest Plot Survey Observer Names 1985 - 2019 Alaska Yukon Delta Salinity Quality Control R Code Alaska Yukon Delta Pond Salinity Data 2006 - 2019 Alaska Yukon Delta Tidy Egg Data 1985 - 2019 Alaska Yukon Delta Nest Plot Survey Alaska Yukon Delta Pond Salinity Data 2006 - 2019 Alaska Yukon Delta Detection Model Fitting Code Using R and RMark Alaska Yukon Delta Double Observer Nest Plot Detection Alaska Yukon Delta Nest Plot Survey Detection Model Fitting Code Using R and JAGS Alaska Yukon Delta Nest Plot Distance Sampling Field Protocol Alaska Yukon Delta Nest Plot Survey Legacy Nest Card Quality Control R Code Alaska Yukon Delta Nest Plot Survey Observer Names 1985 - 2019 Alaska Yukon Delta Salinity Quality Control R Code Alaska Yukon Delta Tidy Egg Data 1985 - 2019 Alaska Yukon Delta Nest Plot Survey Alaska Arctic Coastal Plain Aerial Breeding Pair Survey Design Transect Geodata Alaska Arctic Coastal Plain Aerial Survey Expanded Index Estimates 2007-2023 Alaska Arctic Coastal Plain Aerial Breeding Pair Survey Design Strata Geodata Alaska Arctic Coastal Plain Aerial Breeding Pair Survey QC Transcribed Data 2007-present Arctic Coastal Plain Aerial Survey Bird Observations Arctic Coastal Plain Aerial Survey Approximate Flight Lines Automated Sea Duck Counts from Aerial Imagery: Imagery Files Automated Sea Duck Counts from Aerial Imagery: SeaDuckDetectoR Program