AndreaBozzo/ceres-open-data-index huggingface dataset:
High-resolution maps of historical and 21st century soil temperature and moisture data using multivariate matching algorithms for drylands of western U.S. and Canada

These data were compiled as a supplement to a previously published journal article (Bradford et al., 2019), that employed a ecosystem water balance model to characterize current and future patterns in soil temperature and moisture conditions in dryland areas of western North America. Also, these data are associated with a published USGS data release (Bradford and Schlaepfer, 2019). The objectives of our study were to (1) characterize current and future patterns in soil temperature and moisture conditions in dryland areas of western North America, (2) evaluate the impact of these changes on estimation of resilience and resistance among a representative set of climate scenarios. These data represent geographic patterns in simulated soil temperature and soil moisture conditions and underlying variables based on SOILWAT2 simulations under climate conditions representing historical (current) time period (1980-2010) and two future projected time periods (2020-2050, d40yrs) and  (2070-2100, d90yrs) for two representative concentration pathways (RCP4.5, RCP8.5) as medians across simulation runs based on output from each of the available downscaled global circulation models that participated in CMIP5 (RCP4.5, 37 GCMs; RCP8.5, 35 GCMs; Maurer et al. 2007). Additional information about the SOILWAT2 simulation experiments can be found in Bradford et al. 2019. These data were created in 2018, 2019, and 2021 for the area of the sagebrush region in the western North America. These data were created by a collaborative research project between the U.S. Geological Survey, Marshall University and Yale University. These data can be used with the high-resolution matching as defined by Renne et al. (in prep.), and within the scope of Bradford et al. 2019. These data may also be used to evaluate the potential impact of changing climate conditions on geographic patterns in simulated soil temperature and soil moisture conditions.

Tags: alberta, aridification, aridity, arizona, big-sagebrush-ecosystems, biota, british-columbia, california, cheatgrass, clay-loam, climate, climate-change, climate-models, climatologymeteorologyatmosphere, cnada, colorado, concentration-pathways, data-release, droughts, ecological-model, ecological-transformation, future-time-periods, global-circulation-models, historical-conditions, idaho, iowa, kansas, manitoba, minnesota, montana, nebraska, nevada, new-mexico, north-dakota, oklahoma, oregon, rcp4-5, rcp8-5, resilience, sandy-loam, saskatchewan, silt-loam, soil-temperature, soil-types, soilwat2, texas, united-states, usgs-61faf826d34e622189c7bc79, utah, washington, western-north-america, wyoming
Organization: Department of the Interior
High-resolution maps of historical and 21st century ecological drought metrics using multivariate matching algorithms for drylands of western U.S. and Canada

These data were compiled using a new multivariate matching algorithm that transfers simulated soil moisture conditions (Bradford et al. 2020) from an original 10-km resolution to a 30-arcsec spatial resolution. Also, these data are a supplement to a previously published journal article (Bradford et al., 2020) and USGS data release (Bradford and Schlaepfer, 2020). The objectives of our study were to (1) characterize geographic patterns in ecological drought under historical climate, (2) quantify the direction and magnitude of projected responses in ecological drought under climate change, (3) identify areas and drought metrics with projected changes that are robust across climate models for a representative set of climate scenarios. These data represent geographic patterns in simulated ecological drought metrics based on SOILWAT2 simulations under climate conditions representing historical (current) time period (1980-2010) and two future projected time periods (2020-2050, d40yrs) and  (2070-2100, d90yrs) for two representative concentration pathways (RCP4.5, RCP8.5) as medians across simulation runs based on output from each of the available downscaled global circulation models that participated in CMIP5 (RCP4.5, 37 GCMs; RCP8.5, 35 GCMs; Maurer et al. 2007). Additional information about the setup of SOILWAT2 simulation experiments can be found in Bradford et al. 2020. These data were created in 2020 and 2021 for the area of the sagebrush region in the western North America. These data were created by a collaborative research project between the U.S. Geological Survey and Yale University. These data can be used with the high-resolution matching algorithm (Renne et al., 202X), within the scope of Bradford et al. 2020, and as defined by the study. These data may also be used to evaluate the potential impact of changing climate conditions on robust ecological drought metrics within the scope defined by the study.

Tags: 30-arcsecond, alberta, arizona, biota, british-columbia, california, canada, climate, climate-change, climate-projection, climatologymeteorologyatmosphere, cmip5, colorado, data-release, drought-metrics, droughts, drylands, ecological-drought, ecological-model, future-time-periods, global-circulation-models, historical-conditions, idaho, iowa, kansas, manitoba, minnesota, montana, nebraska, nevada, new-mexico, north-dakota, oklahoma, oregon, rcp4-5, rcp8-5, representative-concentration-pathways, sagebrush-region, saskatchewan, soil-moisture, soil-temperature, soilwat2, texas, united-states, usgs-61faf644d34e622189c7ba3e, utah, washington, western-north-america, wyoming
Organization: Department of the Interior
GFLOW groundwater flow model of Crystal Lake, City of Crystal Lake, Illinois

A two-dimensional, steady-state groundwater analytic-element flow model, GFLOW (version 2.2.3), was developed to provide a better understanding of the groundwater-surface water interactions of Crystal Lake, in the city of Crystal Lake, Illinois, in response to lowering an outlet weir during current, wet, and dry conditions.  Three models were created and calibrated for average 2020 (current) conditions, wet (2017) conditions, and dry (2012) conditions with the current weir elevation and current steady-state stage-flows at the outlet weir. Simulations of groundwater and surface water responses surrounding the lake and lake-water budgets were run to understand the effects and influences of lowering the weir elevation by 1 foot, and then by lowering the weir elevation and increasing the steady-state stage-flows at the outlet weir. This U.S. Geological Survey (USGS) data release contains all of the input and output files for the simulations described in the associated model documentation report (https://doi.org/10.3133/sir20245007).

Tags: city-of-crystal-lake, crystal-lake, environment, geoscientificinformation, gflow, groundwater, groundwater-model, illinois, inlandwaters, mchenry-county, pest, usgs-61faf027d34e622189c7b027, usgsgroundwatermodel, water-budget
Organization: Department of the Interior
Near-Surface Spatial Water-Quality Surveys along the Caloosahatchee River in June and July 2021, south Florida

This U.S. Geological Survey (USGS) Data Release provides spatial water-quality data collected from the Caloosahatchee River on June 21-22 and July 20, 2021, south Florida.  Geo-referenced measurements of near surface water temperature, specific conductance, dissolved oxygen, pH, turbidity, chlorophyll fluorescence, phycocyanin fluorescence, and fluorescence of dissolved organic matter were recorded at 20 second intervals and nitrate+nitrite as nitrogen was recorded at 5 to 60 second intervals during water-quality surveys in order to create high resolution water-quality maps of the study area.

Tags: caloosahatchee-canal, caloosahatchee-river, chlorophyll, continuously-measured, dissolved-oxygen, field-deployment, lake-okeechobee, nitratenitrite, ph, phycocyanin, spatial, specific-conductance, turbidity, usgs-61fac46bd34e622189c77ff2, water-quality, water-temperature
Organization: Department of the Interior
Species distribution model (SDM) for Lepidium lasiocarpum 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 Lepidium lasiocarpum 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-61f96ae2d34e622189c5109e, utah
Organization: Department of the Interior
Species distribution model (SDM) for Larrea tridentata 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 Larrea tridentata 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-61f95f63d34e622189c51096, utah
Organization: Department of the Interior
Species distribution model (SDM) for Krameria erecta 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 Krameria erecta 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-61f95e11d34e622189c51094, utah
Organization: Department of the Interior
Species distribution model (SDM) for Krameria bicolor 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 Krameria bicolor 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-61f95c5ed34e622189c51090, utah
Organization: Department of the Interior
Species distribution model (SDM) for Hilaria rigida 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 Hilaria rigida 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-61f87363d34e622189c2ad2f, utah
Organization: Department of the Interior
Species distribution model (SDM) for Euphorbia albomarginata 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 Euphorbia albomarginata 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-61f870bdd34e622189c2a821, utah
Organization: Department of the Interior
Species distribution model (SDM) for Eriogonum fasciculatum 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 Eriogonum fasciculatum 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-61f86f45d34e622189c2a489, utah
Organization: Department of the Interior
Species distribution model (SDM) for Ericameria cooperi 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 Ericameria cooperi 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-61f86e3ed34e622189c2a225, utah
Organization: Department of the Interior
Species distribution model (SDM) for Encelia farinosa 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 Encelia farinosa 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-61f86767d34e622189c29545, utah
Organization: Department of the Interior
Data set on reticuloendotheliosis in Hawaiian birds

Only one virus, Avipox, has been documented in wild birds in Hawaii. Here, using immunohistochemistry and PCR, we found that two native threatened Hawaiian geese, one with multicentric histiocytoma and another with toxoplasmosis and one Laysan albatross with avian pox were infected with reticuloendotheliosis virus (REV). The virus was isolated from one of the geese by cell culture. PCR surveys of other Hawaiian geese with various pathologies, avian pox cases, and pox viral isolates failed to reveal REV suggesting the virus is uncommon, at least in samples examined. The full genome of the Gag, Pol, and Env genes were sequenced for all three infected birds and revealed geographic divergence of the Pol gene suggesting it to be under strong selective pressure. Our finding of REV in Hawaii makes this only the second virus documented in native Hawaiian birds associated with pathology. Moreover, the presence of REV in a pelagic seabird is unusual. Future surveys should seek the reservoir of the virus in efforts to trace its origins.

Tags: biota, hawaiian-goose, hawaiian-islands, immunohistochemistry, laysan-albatross, molecular-virology, national-wildlife-health-center-honolulu-field-station, pathology, retrovirus, usgs-61f83320d34e622189c25226
Organization: Department of the Interior