AndreaBozzo/ceres-open-data-index huggingface dataset:
Southwestern Riparian Plant Trait Matrix, Colorado River, Grand Canyon, Arizona (ver. 2.0, 2022)

Trait-based approaches to vegetation analyses are becoming more prevalent in studies of riparian vegetation dynamics, including responses to flow regulation, groundwater pumping, and climate change. These analyses require species trait data compiled from the literature and floras or original field measurements. Gathering such data makes trait-based research time intensive at best and impracticable in some cases. To support trait-based analysis of vegetation along the Colorado River through Grand Canyon, a data set of 20 biological traits and ecological affinities for 179 species occurring in that study area was compiled. This diverse flora shares species with many riparian areas in the western USA and includes species that occur across a wide moisture gradient. 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 Data were compiled from published scientific papers, unpublished reports, plant fact sheets, existing trait databases, regional floras, and plant guides. Data for ordinal environmental tolerances were more readily available than were quantitative traits. Categorical, ordinal, and continuous data are included in this dataset. Also, this dataset includes data from McCoy-Sulentic et al. 2017, who measured or compiled data on specific leaf area (SLA), stem specific gravity (SSG), seed mass, and mature height of 110 plant species that occur along the Colorado River in Grand Canyon, Arizona. Additionally, they measured leaf δ13C, δ15N, % carbon, % nitrogen, and C/N ratio of 56 species with C3 photosynthesis. This dataset does not contain sensitive or classified data.

Tags: arizona, coconino-county, colorado-river, ecological-tolerances, ecology, freshwater-ecosystems, functional-traits, grand-canyon-national-park, lees-ferry, mohave-county, riparian-plant-species, southwestern-united-states, united-states, usgs-61f0803bd34e8b818adc3564, vascular-plants
Organization: Department of the Interior
Species distribution model (SDM) for Amsinckia tessellata in the Mojave Desert

Preserving native species diversity is fundamental to ecosystem conservation. Selecting appropriate native species for use in restoration is a critical component of project design and may emphasize species attributes such as life history, functional type, pollinator services, and nutritional value for wildlife. Determining which species are likely to establish and persist in a particular environment is a key consideration. Species distribution models (SDMs) characterize relationships between species occurrences and the physical environment (e.g., climate, soil, topographic relief) and provide a mechanism for assessing which species may successfully propagate at a restoration site. In conjunction with information on species attributes, SDMs facilitate holistic ecosystem restoration by enabling practitioners to identify diverse, resilient assemblages of native species. This project develops SDMs for native species of fundamental ecosystem importance in order to guide restoration of Mojave Desert landscapes. The dataset contained herein provides an SDM for Amsinckia tessellata within its Mojave Desert range based on known occurrences.

Tags: arizona, biogeography, biota, california, habitats, maps-and-atlases, mojave, native-plant-materials-development, native-species, nevada, species-distribution-model, usgs-61f046b0d34e8b818adc32ac, utah
Organization: Department of the Interior
Species distribution model (SDM) for Ambrosia salsola in the Mojave Desert

Preserving native species diversity is fundamental to ecosystem conservation. Selecting appropriate native species for use in restoration is a critical component of project design and may emphasize species attributes such as life history, functional type, pollinator services, and nutritional value for wildlife. Determining which species are likely to establish and persist in a particular environment is a key consideration. Species distribution models (SDMs) characterize relationships between species occurrences and the physical environment (e.g., climate, soil, topographic relief) and provide a mechanism for assessing which species may successfully propagate at a restoration site. In conjunction with information on species attributes, SDMs facilitate holistic ecosystem restoration by enabling practitioners to identify diverse, resilient assemblages of native species. This project develops SDMs for native species of fundamental ecosystem importance in order to guide restoration of Mojave Desert landscapes. The dataset contained herein provides an SDM for Ambrosia salsola within its Mojave Desert range based on known occurrences.

Tags: arizona, biogeography, biota, california, habitats, maps-and-atlases, mojave, native-plant-materials-development, native-species, nevada, species-distribution-model, usgs-61f0457ad34e8b818adc3292, utah
Organization: Department of the Interior
Streamflow Correlation Map Grids in and near West Virginia 1930-2011

Correlation of flows at pairs of streamgages were evaluated using a Spearman’s rho correlation coefficient to 
better identify gages that can be used as index gages to estimate daily flow at ungaged stream sites in West 
Virginia. Correlation maps were developed for each candidate index streamgage using ordinary kriging, and 
have been compiled as grids. Sets of grids were developed for correlation of daily flows of streamgages on 
unregulated streams in and near (within 50 miles of) West Virginia that were operated during the 1930-2011 
water years for: 
			(1) complete water years for the entire period of record (1930-2011), 
			(2) October-December for the entire period of record, 
			(3) January-March for the entire period of record, 
			(4) April-June for the entire period of record, 
			(5) July-September for the entire period of record, 
			(6) complete water years for 1963-1969, 
			(7) complete water years for 1970-1979, and 
			(8) complete water years for 1992-2011. 
			
Details of analytical approach, results, discussion, and limitations are contained in U.S. Geological Survey 
Scientific Investigations Report 2014-5061.at https://pubs.usgs.gov/sir/2014/5061/

Tags: daily-flow-correlation, flow-estimation, index-gages, inland-waters, rivers, streams, usgs-61f00d6f-c3fe-47df-9ec1-ced38978f057
Organization: Department of the Interior
Topographic survey transect endpoint coordinates along the Carmel River, central California, 2013 to 2021 (ver. 2.0, March 2022)

This dataset contains the easting, northing, and elevation values of the river-right and river-left transect endpoint reference benchmarks (RBM and LBM) from survey transects at 10 survey reaches along the Carmel River, central California. Topographic surveys were completed on these transects during eight summer surveys (in 2013, 2014, 2015, 2016, 2017, 2019, 2020 and 2021). See accompanying file within this data release for elevation measurements. All data were collected in NAD83 UTM10N horizontal coordinates and NAVD88 Geoid 12B vertical coordinates, in units of meters. The positions of some reference marks were selected using only horizontal reference; the elevation values for these marks are set to a no data value of "NULL" in the data file.

Tags: bathymetry-and-elevation, carmel-river, carmel-valley, cmgp, coastal-and-marine-geology-program, field-inventory-and-monitoring, gravel-deposits, inland-fishery-resources, inlandwaters, monterey-county, pacific-coastal-and-marine-science-center, pcmsc, river-reaches, river-systems, san-clemente-dam, topographic-mapping, topography, u-s-geological-survey, usgs, usgs-61ef2f79d34e8b818adb7bb0
Organization: Department of the Interior
Migration Corridors of Mule Deer in the Upper San Joaquin Watershed Herd in California

Migratory mule deer (Odocoileus hemionus) within the San Joaquin Watershed occupy most of the watershed above Kerckhoff Reservoir, Fresno and Madera Counties, California. Human infrastructure in the watershed is widespread and includes residential, water control, hydroelectric power, and recreational use developments. Steep topography between winter and summer range limit crossing points along the San Joaquin River. Habitat conditions favoring deer declined from a peak around 1950, resulting in a reduction in the deer population. The current deer population is believed to be about 4,000. A massive wildfire burned through most of the watershed in 2020, dramatically changing habitat conditions in some areas.
These data provide the location of migration corridors for mule deer in the Upper San Joaquin Watershed population in California. They were developed from 55 migration sequences collected from a sample size of 30 animals comprising GPS locations collected every 2-12 hours.

Tags: animal-behavior, california, economy, environment, migration, migration-organisms, migratory-species, san-joaquin, united-states, usgs-620e4a4ed34e6c7e83baa329
Organization: Department of the Interior
Yuma Ridgway’s rail (Rallus obsoletus yumanensis) population surveys, rail movement, and potential habitat at the Salton Sea of California

Data were obtained as part of a project assessing risk to the federal and California listed endangered Yuma Ridgway's rail (Rallus obsoletus yumanensis) populations resulting from selenium contaminated agricultural runoff and to inform habitat restoration and management decisions. Four data sets were produced and used to analyze patterns of Yuma Ridgway’s rail (Rallus obsoletus yumanensis, renamed from Rallus longirostris yumanensis [R. longirostris yumanensis retained in taxonomy section until further updated in ITIS system, https://www.itis.gov/submit.html]) occupancy and inter-marsh movements and to estimate rail abundance and regional population size to assess extent of selenium exposure of Yuma Ridgway’s rail and support management of rail and their habitats at the Salton Sea. These data include site information for call count stations used to monitor secretive marshbirds, specifically Yuma Ridgway's rail, at and near the Salton Sea and Sonny Bono Salton Sea National Wildlife Refuge (SBSSNWR) in 2016 and complete count information for four species of secretive marshbird [Yuma Ridgway's rail, Virginia rail (Rallus limicola), Sora (Porzana carolina), American bittern (Botaurus lentiginosus)], detected among surveys at those sites. The data for call counts conducted between March 8 and April 17, 2016 for the four species is included in the file named Call Count Data.csv and data for call count stations is included in the file name Call Count Station Data.csv. Also included in this release is location information between April 4 and November 17, 2016 for 15 Yuma Ridgway’s rails at the Salton Sea marked with radio-downloaded GPS transmitters (YURIRA Locations.csv). Additional data includes potential Yuma Ridgway’s rail habitat classified from concurrently occurring land satellite (USGS Landsat) imagery recorded on March 20, 2016 corresponding with telemetry field studies of and call count surveys for Yuma Ridgway's rail (yurira_hab.tif). For more information about methods relating to these data please refer to the subject USGS Open-file Report (Ricca and others, 2022).

Tags: animal-tracking, biota, endangered-species, image-collections, imperial-state-wildlife-area-finney-ramer-unit, imperial-state-wildlife-area-hazard-unit, imperial-state-wildlife-area-wister-unit, listed-birds, multispectral-imaging, salton-sea, society, sonny-bono-salton-sea-national-wildlife-refuge, usgs-62509996d34e21f8276d09c6, vocalization-methods, wetland-ecosystems, wister-waterfowl-management-area
Organization: Department of the Interior
Estimated crop irrigation water use withdrawals in Willcox Groundwater Basin, Arizona for 2020

Observations of irrigated agricultural land within the Willcox Groundwater Basin in Arizona. Crops were verified in situ twice in 2020, first on May 20th and again on August 12th; based on digitized field boundaries. Field boundaries were digitized from U.S. Department of Agriculture, National Agricultural Imagery Program images dated 2019 and supplemented with Landsat and Sentinel2 imagery collections accessed via the U.S. Geological Survey LandLook Viewer (https://landlook.usgs.gov/) and Sentinel Hub, Sentinel Playground (https://apps.sentinel-hub.com/sentinel-playground). Satellite images were also used to identify the length of the growing season and crop condition. Water withdrawals were calculated using the modified Blaney-Criddle model of calculating consumptive use (U.S. Bureau of Reclamation, 1992 appendix A) using crop coefficients from Doorenbos and Pruitt (1975), the number of acres with active crops, crop condition, and irrigation system efficiency. The withdrawal equation was modified from "Water withdrawals for irrigation, municipal, mining, thermoelectric-power, and drainage uses in Arizona outside of active management areas, 1991-2000" (Tadayon, 2005) to account for variations in water application.

Tags: agricultural-sites, arizona, cochise, graham, groundwater, irrigation, usgs-624f2d59d34e21f82769bb9d, water-use, willcox-groundwater-basin
Organization: Department of the Interior
Data to support network-wide 7-day ahead forecasting of water temperature in the Delaware River Basin: 4) model predictions

This data release contains the forcings and outputs of 7-day ahead maximum water temperature forecasting models that makes predictions at 70 river reaches in the upper Delaware River Basin. This section includes predictions from several models, including a model pre-trainer that is predictions from a distance-weighted-average lotic-lentic input network (DWALLIN) model, reservoir outlet temperature predictions from a process-based model, forecasts from a persistence stream water temperature model, and stream water temperature forecasts from two deep learning models, a long-short term memory network and recurrent convolutional graph network model.

Tags: deep-learning, environment, forecast, hybrid-modeling, inlandwaters, machine-learning, modeling, new-york, ny, reservoirs, streams, temperature, united-states, us, usgs-624f21fad34e21f82769a7b1, water, water-resources
Organization: Department of the Interior
Predictions and supporting data for network-wide 7-day ahead forecasts of water temperature in the Delaware River Basin: 3) model configurations

This data release contains the forcings and outputs of 7-day ahead maximum water temperature forecasting models that makes predictions at 70 river reaches in the upper Delaware River Basin. This section includes model parameters and metadata used to configure reservoir models.

Tags: deep-learning, environment, forecast, hybrid-modeling, inlandwaters, machine-learning, modeling, new-york, ny, reservoirs, streams, temperature, united-states, us, usgs-624f21ddd34e21f82769a7af, water, water-resources
Organization: Department of the Interior
Predictions and supporting data for network-wide 7-day ahead forecasts of water temperature in the Delaware River Basin: 2) model driver data

This data release contains the forcings and outputs of 7-day ahead maximum water temperature forecasting models that makes predictions at 70 river reaches in the upper Delaware River Basin. This section contains forcing data for water temperature forecasting models reported in Zwart et al. (2023), including a process-based pre-trainer, gridded weather and forecasted weather data, and flow and temperature for reservoir inlets and outlets.

Tags: deep-learning, environment, forecast, hybrid-modeling, inlandwaters, machine-learning, modeling, new-york, ny, pa, pennsylvania, reservoirs, streams, temperature, united-states, us, usgs-624f21b9d34e21f82769a7ab, water, water-resources
Organization: Department of the Interior
Predictions and supporting data for network-wide 7-day ahead forecasts of water temperature in the Delaware River Basin: 1) Waterbody information for 70 river reaches and 2 reservoirs

This section provides spatial data files that describe the river and reservoirs in the Delaware River Basin included in this release. One shapefile of polylines describes the 70 river reaches that define the modeling network, and another shapefile of polygons includes the two reservoirs (Pepacton, Cannonsville) for which data are included in this release.

Tags: deep-learning, environment, forecast, hybrid-modeling, inlandwaters, machine-learning, modeling, new-york, ny, pa, pennsylvania, reservoirs, streams, temperature, united-states, us, usgs-624f211ed34e21f82769a7a4, water, water-resources
Organization: Department of the Interior
Sidescan sonar bathymetry products at the Pea Island National Wildlife Refuge DUNEX Site, North Carolina in October 2021

The data in this section of the release characterizes the nearshore bathymetry collected in October 2021 by USGS and Woods Hole Oceanographic Institute (WHOI) scientists using a self-righting electric uncrewed surface vehicle with a sidescan sonar attached. Data collection occured at the USGS DUring Nearshore Event eXperiment (DUNEX) site on Pea Island National Wildlife Refuge (PINWR). DUNEX is a multi-agency, academic, and non-governmental organization collaborative community experiment designed to study nearshore coastal processes during storm events. USGS participation in DUNEX will contribute new measurements and models that will increase our understanding of storm impacts to coastal environments, including hazards to humans and infrastructure and changes in landscape and natural habitats. Collected data are part of field activity 2021-029-FA and are related to donated data 2020-024-DD, field activity 2021-028-FA and 2021-032-FA.

Tags: bathymetry, cmhrp, coastal-and-marine-hazards-and-resources-program, dare, dunex, elevation, geoscientificinformation, north-carolina, oceans, pea-island, remote-sensing, sidescan-sonar, u-s-geological-survey, united-states, usgs, usgs-624f1795d34e21f82769a75b, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Biological and chemical data from chloride bioassays with native wetland species in natural and reconstituted Prairie Pothole waters

Biological endpoints for three focal test species [Daphnia magna (mortality), Psuedacris maculata (mortality, growth, and development), and Lemna gibba (growth)] in response to exposure to reconstituted or field-collected water under laboratory conditions. Field-collected waters were collected from wetlands within the Prairie Pothole Region (PPR) of the United States. Reconstituted water was mixed to mimic some chemistry of surface water from brine contaminated PPR wetlands. Also included are water quality and chemical concentration data from all assays.

Tags: amphibians, aquatic-plants, biota, boreal-chorus-frog, brine-solutions, chloride-toxicity, daphnia-magna, duckweeds, environmental-toxicology, free-floating-aquatic-plants, lemna-gibba, macroinvertebrates, montana, north-dakota, oil-and-gas-industry, prairie-pothole-region, produced-water, usgs-624efc6bd34e21f827696e52, water-chemistry, water-hardness, water-salinization, wetland-ecosystems, williston-basin
Organization: Department of the Interior
USGS EcoDrought Stream Discharge, Gage Height, and Water Temperature in Shenandoah National Park, Virginia: U.S. Geological Survey Data Release, https://doi.org/10.5066/P97ULKSM.

The U.S. Geological Survey (USGS) Water Mission Area (WMA) - Ecosystems Mission Area (EMA) EcoDrought project is comprised of interdisciplinary teams in five pilot regions across the country. The over-arching project goal is to measure streamflow in headwater streams and to relate flow variation to stream fish population dynamics. 
For the catchments located in Shenandoah National Park, Virginia, the Virginia/West Virginia Science Center and the New England Water Science Center (NewEngWSC) partnered with the fish ecology group at Leetown Science Center, a part of the EMA’s Eastern Ecological Science Center, in order to establish gaging stations in headwater streams with ongoing ecological data collection and modeling efforts.
The project teams installed and maintained in-stream pressure gaging sites including surveying to monitor and account for any movement of the pressure sensor, performing discharge measurements, developing rating curves to relate gage height and discharge, and carrying out routine and emergency maintenance. 
This data set is comprised of the continuous gage height, discharge, water temperature, air temperature, and air pressure data, as well as discrete discharge measurements and station information, for the sites located in Shenandoah National Park. The date range for this data set is 2018-10-22 through 2021-10-27. Once collected, the continuous gage height data were reviewed and corrected for offsets, instrument movement and instrument drift under the guidance of NewEngWSC Hydrologic Monitoring Program staff. Continuous gage height was converted to a continuous discharge record by relating discrete gage height and discharge measurements with a rating model developed in accordance with USGS WMA standards.
Please note that the "EcoDrought_Continuous_TempOnly_VA.csv" data file is 57.0 MB and has 1.1 million rows, meaning it is too large to open and manipulate in Microsoft Excel. Please take caution when working with these data in Excel.

Tags: biota, climate-change, drought, fragmentation, gaging-station, groundwater, headwater, precipitation, shenandoah-national-park, stream-discharge, stream-water-temperature, usgs-624decacd34e21f82766c9da, virginia
Organization: Department of the Interior