AndreaBozzo/ceres-open-data-index huggingface dataset:
Bighorn Mountains Forest Mapping - Synthesis Cover Map

This is the synthesis cover map derived from the probability of occurrence models associated with the project: “Status and Trends of Deciduous Communities in the Bighorn Mountains”. The aim of the study is to assess the current trends of deciduous communities in the Bighorn National Forest in north-central Wyoming. The data here represents phase I of the project, completed in FY2017. The USGS created a synthesis map of coniferous and deciduous communities in the Bighorn Mountains of Wyoming using a species distribution modeling approach developed in the Wyoming Landscape Conservation Initiative (WLCI) (Assal et al. 2015). The modeling framework utilized a number of topographic covariates and temporal remote sensing data from the early, mid and late growing season to capitalize on phenological differences in vegetation types. We used the program RandomForest in the R statistical program to generate probability of occurrence models for deciduous and coniferous vegetation. The binary maps were combined into a synthesis map using the procedure from Assal et al. 2015.  In Phase II of this project (to be completed in FY2018 and 2019), the USGS will conduct a preliminary assessment on the baseline condition of riparian deciduous communities. This will be a proof-of-concept study where the USGS will apply a framework used in prior research in upland aspen and sagebrush communities to detect trends in riparian vegetation condition from the mid-1980s to present.
Literature Cited
Assal et al. 2015 - https://doi.org/10.1080/2150704X.2015.1072289

Tags: bighorn-mountains, biota, ecology, ecosystem-monitoring, plants-organisms, usgs-5b19a94fe4b092d96523882a, vegetation, wyoming, wyoming-landscape-conservation-initiative
Organization: Department of the Interior
Bighorn Mountains Forest Mapping - Probability of Occurrence Model for Deciduous Cover

This is the probability of occurrence model output for deciduous vegetation cover associated with the project: “Status and Trends of Deciduous Communities in the Bighorn Mountains”. The aim of the study is to assess the current trends of deciduous communities in the Bighorn National Forest in north-central Wyoming. The data here represents phase I of the project, completed in FY2017. The USGS created a synthesis map of coniferous and deciduous communities in the Bighorn Mountains of Wyoming using a species distribution modeling approach developed in the Wyoming Landscape Conservation Initiative (WLCI) (Assal et al. 2015). The modeling framework utilized a number of topographic covariates and temporal remote sensing data from the early, mid and late growing season to capitalize on phenological differences in vegetation types. We used the program RandomForest in the R statistical program to generate probability of occurrence models for deciduous and coniferous vegetation. The binary maps were combined into a synthesis map using the procedure from Assal et al. 2015.  In Phase II of this project (to be completed in FY2018 and 2019), the USGS will conduct a preliminary assessment on the baseline condition of riparian deciduous communities. This will be a proof-of-concept study where the USGS will apply a framework used in prior research in upland aspen and sagebrush communities to detect trends in riparian vegetation condition from the mid-1980s to present.
Literature Cited
Assal et al. 2015 - https://doi.org/10.1080/2150704X.2015.1072289

Tags: bighorn-mountains, biota, ecology, ecosystem-monitoring, plants-organisms, usgs-5b19a8f9e4b092d965238826, vegetation, wyoming, wyoming-landscape-conservation-initiative
Organization: Department of the Interior
Bighorn Mountains Forest Mapping - Probability of Occurrence Model for Coniferous Cover

This is the probability of occurrence model output for coniferous vegetation cover associated with the project: “Status and Trends of Deciduous Communities in the Bighorn Mountains”. The aim of the study is to assess the current trends of deciduous communities in the Bighorn National Forest in north-central Wyoming. The data here represents phase I of the project, completed in FY2017. The USGS created a synthesis map of coniferous and deciduous communities in the Bighorn Mountains of Wyoming using a species distribution modeling approach developed in the Wyoming Landscape Conservation Initiative (WLCI) (Assal et al. 2015). The modeling framework utilized a number of topographic covariates and temporal remote sensing data from the early, mid and late growing season to capitalize on phenological differences in vegetation types. We used the program RandomForest in the R statistical program to generate probability of occurrence models for deciduous and coniferous vegetation. The binary maps were combined into a synthesis map using the procedure from Assal et al. 2015.  In Phase II of this project (to be completed in FY2018 and 2019), the USGS will conduct a preliminary assessment on the baseline condition of riparian deciduous communities. This will be a proof-of-concept study where the USGS will apply a framework used in prior research in upland aspen and sagebrush communities to detect trends in riparian vegetation condition from the mid-1980s to present.
Literature Cited
Assal et al. 2015 - https://doi.org/10.1080/2150704X.2015.1072289

Tags: bighorn-mountains, biota, ecology, ecosystem-monitoring, plants-organisms, usgs-5b19a84de4b092d96523881f, vegetation, wyoming, wyoming-landscape-conservation-initiative
Organization: Department of the Interior
Bighorn Mountains Forest Mapping Model Input Data

This is the input data associated with the project: “Status and Trends of Deciduous Communities in the Bighorn Mountains”. The aim of the study is to assess the current trends of deciduous communities in the Bighorn National Forest in north-central Wyoming. The data here represents phase I of the project, completed in FY2017. The USGS created a synthesis map of coniferous and deciduous communities in the Bighorn Mountains of Wyoming using a species distribution modeling approach developed in the Wyoming Landscape Conservation Initiative (WLCI) (Assal et al. 2015). The modeling framework utilized a number of topographic covariates and temporal remote sensing data from the early, mid and late growing season to capitalize on phenological differences in vegetation types. We used the program RandomForest in the R statistical program to generate probability of occurrence models for deciduous and coniferous vegetation. The binary maps were combined into a synthesis map using the procedure from Assal et al. 2015.  In Phase II of this project (to be completed in FY2018 and 2019), the USGS will conduct a preliminary assessment on the baseline condition of riparian deciduous communities. This will be a proof-of-concept study where the USGS will apply a framework used in prior research in upland aspen and sagebrush communities to detect trends in riparian vegetation condition from the mid-1980s to present.
Literature Cited
Assal et al. 2015: https://doi.org/10.1080/2150704X.2015.1072289

Tags: bighorn-mountains, biota, ecology, ecosystem-monitoring, plants-organisms, usgs-5b19a7a4e4b092d965238811, vegetation, wyoming, wyoming-landscape-conservation-initiative
Organization: Department of the Interior
Bighorn Mountains Forest Mapping Model Evaluation Data

This is the evaluation data associated with the project: “Status and Trends of Deciduous Communities in the Bighorn Mountains”. The aim of the study is to assess the current trends of deciduous communities in the Bighorn National Forest in north-central Wyoming. The data here represents phase I of the project, completed in FY2017. The USGS created a synthesis map of coniferous and deciduous communities in the Bighorn Mountains of Wyoming using a species distribution modeling approach developed in the Wyoming Landscape Conservation Initiative (WLCI) (Assal et al. 2015). The modeling framework utilized a number of topographic covariates and temporal remote sensing data from the early, mid and late growing season to capitalize on phenological differences in vegetation types. We used the program RandomForest in the R statistical program to generate probability of occurrence models for deciduous and coniferous vegetation. The binary maps were combined into a synthesis map using the procedure from Assal et al. 2015.  In Phase II of this project (to be completed in FY2018 and 2019), the USGS will conduct a preliminary assessment on the baseline condition of riparian deciduous communities. This will be a proof-of-concept study where the USGS will apply a framework used in prior research in upland aspen and sagebrush communities to detect trends in riparian vegetation condition from the mid-1980s to present.
Literature Cited
Assal et al. 2015: https://doi.org/10.1080/2150704X.2015.1072289

Tags: bighorn-mountains, biota, ecology, ecosystem-monitoring, plants-organisms, usgs-5b19a79fe4b092d96523880e, vegetation, wyoming, wyoming-landscape-conservation-initiative
Organization: Department of the Interior
Field spectra from a tracer dye experiment on the Kootenai River, ID, September 27, 2017

Field spectra were collected from the Kootenai River in northern Idaho during a tracer dye experiment on September 25, 2017, to assess the potential for inferring concentrations of Rhodamine WT dye from remotely sensed data. Reflectance measurements were made from a boat near the confluence with Ball Creek with the Kootenai River using an Analytical Spectral Devices FieldSpec3 spectroradiometer operated in reflectance mode. The Rhodamine WT dye concentration at each spectral measurement location was interpolated from field measurements of concentration obtained with a Turner Designs C3 submersible fluorometer (sonde) by pairing time stamps from the spectra with those from the sonde. This data release provides both the reflectance spectra and the interpolated dye concentrations, as well as locations and time stamps, and can be used to develop relationships between concentration and reflectance for mapping dye dispersion in river channels from field spectra or passive optical remotely sensed data.

Tags: concentration, dispersion, field-spectra, idaho, kootenai-river, reflectance, remote-sensing, rhodamine-dye, tracer-tests, usgs-5b19903ee4b092d9652384d0
Organization: Department of the Interior
Airborne electromagnetic and magnetic survey data and inverted resistivity models, Cedar Rapids, Iowa, May 2017

Airborne electromagnetic (AEM) and magnetic survey data were collected by CGG Canada Services Ltd. in collaboration with the US Geological Survey (USGS) for the City of Cedar Rapids in a 53-square-kilometer area of the Cedar River Basin to the west of Cedar Rapids, Iowa. The survey was flown between May 4 and May 5, 2017 along 347 line kilometers. Electromagnetic data were acquired using RESOLVE frequency-domain helicopter-borne electromagnetic system. Magnetic data were collected with 1-Scintres Cesium Vapour (CS-3) magnetometer. Sensor elevation above ground was measured with Optech G-150 laser. The nominal elevation of the sensor was 30 m. This data release includes processed AEM and magnetic data and inverted resistivity depth sections.

Tags: aeromagnetic-surveying, aquifer, cedar-rapids, cedar-river, electromagnetic-surveying, geology, geology-geophysics-and-geochemistry-science-center, geoscientificinformation, groundwater, iowa, resistivity, usgs, usgs-5b1987ffe4b092d9652384b3, water-quality, water-resources
Organization: Department of the Interior
Bighorn Mountains, Wyoming Forest Mapping, 2013-2017

This data collection is associated with the project: “Status and Trends of Deciduous Communities in the Bighorn Mountains”. It contains the project study area, model evaluation data, model input data, and model output data in the form of probability of occurrence rasters for deciduous and coniferous species, as well as a synthesis map.  The aim of the study is to assess the current trends of deciduous communities in the Bighorn National Forest in north-central Wyoming. The data here represents phase I of the project, completed in FY2017. The USGS created a synthesis map of coniferous and deciduous communities in the Bighorn Mountains of Wyoming using a species distribution modeling approach developed in the Wyoming Landscape Conservation Initiative (WLCI) (Assal et al. 2015). The modeling framework utilized a number of topographic covariates and temporal remote sensing data from the early, mid and late growing season to capitalize on phenological differences in vegetation types. We used the program RandomForest in the R statistical program to generate probability of occurrence models for deciduous and coniferous vegetation. The binary maps were combined into a synthesis map using the procedure from Assal et al. 2015.  In Phase II of this project (to be completed in FY2018 and 2019), the USGS will conduct a preliminary assessment on the baseline condition of riparian deciduous communities. This will be a proof-of-concept study where the USGS will apply a framework used in prior research in upland aspen and sagebrush communities to detect trends in riparian vegetation condition from the mid-1980s to present.
Literature Cited
Assal et al. 2015: https://doi.org/10.1080/2150704X.2015.1072289

Tags: bighorn-mountains, biota, ecology, ecosystem-monitoring, plants-organisms, usgs-5b195edce4b092d965238134, vegetation, wyoming, wyoming-landscape-conservation-initiative
Organization: Department of the Interior
Maximum glacial extent of the named glaciers in Glacier National Park during the peak of the Little Ice Age

These polygon features represent the maximum extent of the 37 named glaciers in Glacier National Park and two glaciers on U.S. Forest Service’s Flathead National Forest land during the peak of the Little Ice Age (mid-nineteenth century). Glacial margins are based on moraine deposits that result from active glaciation, and do not depict perennial snow and ice.  Moraines were digitized based on WorldView imagery acquired on the following dates: 20141019, 20150822, 20150912, 20150925, 20160821, 20160915  (World View 01 and World View 03 satellites).  High resolution imagery was supplemented with oblique aerial photographs flown in 2009 and 2016, historic photographs from the USGS photograph collection, and field notes from a 1914 USGS survey. Digitization was completed by Chelsea Martin-Mikle (USGS) and local knowledge and interpretation were provided by Dan Fagre and Lisa McKeon (USGS) in February, 2017 – February, 2018. Glacier margins were digitized at 1:2000 scale, with lowest off-nadir image chosen when multiple WorldView images were available for the same day. File attributes list specific photos used in analysis.

Tags: aerial-imagery, alpine-glacier, cryosphere, environment, flathead-national-forest, geoscientificinformation, glacier-area, glacier-national-park, glacier-retreat, glaciers, montana, moraine, satellite-imagery, snow-and-ice-cover, usgs-5b194f1ce4b092d965237f5f
Organization: Department of the Interior
A comprehensive inventory of maximum glacial extent in Glacier National Park during the peak of the Little Ice Age

These polygon features represent the maximum extent of glaciers in Glacier National Park and two glaciers on U.S. Forest Service’s Flathead National Forest land during the peak of the Little Ice Age (mid-nineteenth century). Glacial margins are based on moraine deposits that result from active glaciation, and do not depict perennial snow and ice. The criteria used for determining which moraines constituted a former glacier were a) whether a terminal moraine was present, and b) whether the glacier area was five aces or more.  Moraines were digitized based on the best available imagery, including WorldView imagery acquired between 2015 and 2017, border Imagery from the Department of Homeland Security acquired in 2009 and GoogleEarth imagery. High resolution imagery was supplemented with oblique aerial photographs flown in 2009 and 2016, historic photographs from the USGS photograph collection, and field notes from a 1914 USGS survey. Digitization was completed by Chelsea Martin-Mikle (USGS) and local knowledge and interpretation were provided by Dan Fagre and Lisa McKeon (USGS) in February, 2017 – February, 2018. Glacier margins were digitized at 1:2000 scale.

Tags: aerial-imagery, alpine-glacier, cryosphere, environment, flathead-national-forest, geoscientificinformation, glacier-area, glacier-national-park, glacier-retreat, glaciers, montana, moraine, satellite-imagery, snow-and-ice-cover, usgs-5b194ca2e4b092d965237f4a
Organization: Department of the Interior
Temperature dependent effects of carbon dioxide on avoidance behaviors in bigheaded carps for Biological Invasions: Data

Spreadsheets include data that was used to evaluate the efficacy of carbon dioxide (CO2) deterrence at different temperatures in invasive carps. There are 8 csv files and 2 folders containing text documents associated with this study

Tags: asian-carp, avoidance, behavior, carbon-dioxide, temperature, usgs-5b193135e4b092d965236df2
Organization: Department of the Interior
Drivers and uncertainties of forecasted range shifts for warm-water fishes under coupled climate and land cover change: Data

Each text file describes coupled climate and land use scenarios used to model species distributions under different greenhouse gas emissions trajectories and time periods. Three different greenhouse gas emissions trajectories (representative concentration pathways [RCPs]), were used as the basis for future scenarios, including the 2.6 (low emissions), 4.5 (medium-low emissions) and 8.5 (high emissions) W/m2 RCPs (IPCC 2013). Three GCMs were selected based on two criteria: 1) high performance in hindcasting climate variables for the study area (Sheffield et al. 2013), and 2) to encompass the full range of variability across future climate projections from all available GCMs (Knutti et al. 2013, Maloney et al. 2014). The GCMs selected included IPSL-CM5A (Institut Pierre-Simon Laplace), MRI-CGCM3 (Meteorological Research Institute), and NOR-ESM (Norwegian Climate Centre). The scenario-based climate data were downscaled for the study area through the use of weather generator techniques to provide monthly and annual air temperature and precipitation data for the years 2006 through 2099 (Schoof et al. 2007, Schoof et al. 2010). Three time periods were used in our scenarios: 2030-2039, 2060-2069, and 2090-2099. Climate variables were averaged across each time period. Logistic regression land cover models were developed for row-crops (corn, soybean and cotton), wheat, forest and grasslands within the study area (Stoebner and Lant 2014). Developed land and water classifications were not modeled and therefore assumed to not change under any scenario. Projections for each modeled land cover were made using the climate scenarios detailed above (Stoebner 2014). Each land cover projection produced a probability of occurrence of the land cover for each pixel in the study area, which were then calculated into percent within 12-digit hydrologic unit codes (HUC). All stream segments within a HUC were attributed the same land cover percentages.

Tags: arkansas, biota, central-united-states, climate-scenarios, fish-distributions, illinois, iowa, kansas, land-use-change, louisiana, minnesota, missouri, nebraska, north-dakota, south-dakota, usgs-5b192bc1e4b092d965234410, wisconsin
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2016 land-water classifications

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2016 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Three previous assessments have been conducted (2005, 2008, and 2012). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-5b183fb3e4b092d965219da3, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Hyperspectral image data and Rhodamine WT dye concentration measurements from a tracer study at the River Experiment Center, Korea, in May 2017

Hyperspectral image data and field measurements of Rhodamine WT dye concentration were obtained during a tracer study conducted at the Korea Institute of Civil Engineering and Building Technology's River Experiment Center May 17-20, 2017, to support research on dispersion in river channels. The image data included in this data release were acquired using a Nano-Hyperspec (Headwall Photonics, Inc.) mounted on an Aerotestra ATNK09, a small multirotor unmanned aircraft system (UAS). The in situ concentration data were collected using electronic fluorometers (YSI 600-OMS sonde with 6130 Rhodamine WT sensor). Image time stamps were used to link concentration time series recorded by the sondes to specific pixels. The spectra from the locations and times for which image data were available were extracted from the images and used to develop quantitative relationships between concentration and radiance. The image spectra are in radiance units of mWcm-2um-1*sr-1 and the concentrations are in parts per billion (ppb). Two types of image data were collected, one while the platform was hovering to obtain a stationary time series at a single location (i.e., channel cross-section) and the other while the platform was in motion above the experimental channel to construct a spatial image through motion of the aircraft. This data set was used to assess the potential to estimate tracer dye concentrations from remotely sensed data to map contaminants and facilitate dispersion studies.

Tags: channel, concentration, dispersion, hyperspectral, korea, remote-sensing, rhodamine-dye, river-experiment-center, tracer-study, usgs-5b183e84e4b092d965219d96
Organization: Department of the Interior
09471143 - Walnut Gulch below ARS Flume 6, near Tombstone, AZ - 07/28/2017 Continuous Slope-Area

Continuous slope-area (CSA) sensors are installed at four cross sections downstream from Flume 6 operated by the Agricultural Research Service (ARS) at the Walnut Gulch Experimental Watershed. A flow event occurred on July 28, 2017. Stage data were recorded by submersible pressure transducers at each of the four cross sections. The stage data, along with cross section geometry and field-assigned roughness values, were used to compute discharge for the flow event using the CSA method.

Tags: cochise-county, discharge, flood-stage, gage-height, tombstone-arizona, usgs-5b182babe4b092d965219cb9, walnut-gulch
Organization: Department of the Interior