AndreaBozzo/ceres-open-data-index huggingface dataset:
Data for dam passage analysis of bigheaded carps in Pools 15-19 of the upper Mississippi River during 2014-2017

Acoustic telemetry data (Vemco, Inc) were collected on invasive silver carp (Hypophthalmichthys molitrix), bighead carp (H. nobilis) and their hybrids in the upper Mississippi River (navigation pools 15-19) to determine movement patterns and preferred habitats during September 2013 through November 2017.  We consolidated these data into intervals of fish within-pool residency and intervals of fish transitions into adjacent navigation pools (i.e., dam passages).  The combined data set was then parsed into an "upstream passage" data set (in which downstream passage intervals were censored) and and a "downstream passage" data set (in which upstream passage intervals were censored).  We then examined the effects of river hydrology and water temperature on dam passages by bigheaded carps using a complementary log-log model for continuous-time processes to estimate a Cox proportional hazards regression model (Allison 2010).

Tags: biota, dam-passage, invasive-species, navigation-pools-15-19, telemetry, upper-mississippi-river, usgs-60b7e6c8d34e86b938874142, usgs-cc-asian-carp
Organization: Department of the Interior
Enhanced Terrain Imagery of the Monticello 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution

This imagery dataset consists of 3-meter resolution, Lidar-derived imagery of the Monticello 30 x 60 minute quadrangle in New York and covers part of the Delaware River Basin. The source data used to construct this imagery consists of 1-meter and 2-meter resolution Lidar-derived digital elevation models (DEM). The Lidar source data were compiled from different acquisitions published between 2005 and 2019 from New York state.  The data were processed using geographic information systems (GIS) software. The data is projected in North America Datum (NAD) UTM Zone 18 North. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.

Tags: delaware-river-basin, elevation, imagerybasemapsearthcover, lidar, new-york, topography, usgs-60b7deacd34e86b938873c88
Organization: Department of the Interior
High-Frequency Water-Level Data at Devils Hole, Nye County, Nevada (ver. 2.0, March 2022)

This U.S. Geological Survey (USGS) data release consists of a spreadsheet presenting high-frequency water levels in feet below a measuring point (MP) at Devils Hole in Nye County, Nevada. Water-level data are collected at USGS site 362532116172701 by the National Park Service, using a data logger programmed to collect water-level every 15 minutes or every 5 seconds when a water-level change greater than 0.015 feet is detected. Data are analyzed, approved, and audited according to USGS standards as described in U.S. Geological Survey Office of Surface Water memo 2017.10. Continuous 15-minute data are published in the National Water Information System (NWIS) database. Irregular periods of 5-second data collected during and after probable seismic events are presented here. The dataset begins on August 12, 2018 and will be updated approximately annually. The spreadsheet filename indicates years presented. Please see DH_Revision_History.txt for further details.

Tags: death-valley-national-park, devils-hole, groundwater, hydrology, inlandwaters, surface-water-non-marine, usgs-60b7cdf2d34e86b9388730a5
Organization: Department of the Interior
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Fractional Component Time-Series Across the Western U.S. 1985-2020 - Shrub

The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2020. The RCMAP product suite consists of eight fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub and rule-based error maps including the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. We used an updated version of the 2016 base training data, with a more aggressive forest mask and reduced shrub and sagebrush cover bias in pinyon-juniper woodlands. We pooled training data in areas and times identified as having no spectral change relative to the base year across all years in the time-series and used a series of procedures to remove the most spatially and temporally common values. We also used composite Landsat Analysis Ready Data (ARD) in seven regions instead of using individual images by path and row. An automated method to identify change in spectral conditions between each year in the Landsat archive and the circa 2016 base map, resulted in a robust and sensitivity of subtle changes. Yearly fractional component cover outputs were inserted in the changed area while the base year values were maintained in the unchanged area. Processing efficiency has been increased through use of open-source software and High-Performance Computing (HPC) resources. The mapping area included seven regions which were subsequently mosaicked for all eight components. 
These data can be used to answer critical questions regarding the influence of climate change and the suitability of management practices. Component products can be downloaded from www.mrlc.gov.

Tags: annual-herbaceous, arizona, arizona-plateau, az, back-in-time, bare-ground, big-sagebrush, biota, black-hills, blue-mountains, ca, california, chihuahuan, chihuahuan-desert, climate-change, co, colorado, colorado-plateau, columbia-plateau, desert, environment, geoscientificinformation, grand-canyon, grass, grassland-change, great-basin, gunnison, herbaceous, id, idaho, imagerybasemapsearthcover, litter, mediterranean-california, middle-rockies, mojave, montana, mt, mts, nd, ne, nebraska, nevada, new-mexico, nm, north-dakota, north-plains, northern-great-plains, northern-great-salt-lake-desert, northern-mountainous, northern-rocky-mountains, nv, or, oregon, plains, plateau, rangeland, rangeland-management, rocky-mountains, sagebrush, sd, shrub, shrubland, shrubland-change, shrubland-ecosystems, shrublands, sierra-nevada, sonoran, sonoran-desert, south-dakota, southern-great-salt-lake-desert, southern-rocky-mountains, southwest-tablelands, terrestrial-ecosystems, texas, the-rockies, three-forks, time-series, trends, tx, united-states, usgs-60b7cde9d34e86b93887309e, ut, utah, vegetation, vegetation-change, wa, wasatch, washington, western-us, wy, wyoming, wyoming-basin, yellowstone
Organization: Department of the Interior
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Fractional Component Time-Series Across the Western U.S. 1985-2020 - Sagebrush

The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2020. The RCMAP product suite consists of eight fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub and rule-based error maps including the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. We used an updated version of the 2016 base training data, with a more aggressive forest mask and reduced shrub and sagebrush cover bias in pinyon-juniper woodlands. We pooled training data in areas and times identified as having no spectral change relative to the base year across all years in the time-series and used a series of procedures to remove the most spatially and temporally common values. We also used composite Landsat Analysis Ready Data (ARD) in seven regions instead of using individual images by path and row. An automated method to identify change in spectral conditions between each year in the Landsat archive and the circa 2016 base map, resulted in a robust and sensitivity of subtle changes. Yearly fractional component cover outputs were inserted in the changed area while the base year values were maintained in the unchanged area. Processing efficiency has been increased through use of open-source software and High-Performance Computing (HPC) resources. The mapping area included seven regions which were subsequently mosaicked for all eight components. 
These data can be used to answer critical questions regarding the influence of climate change and the suitability of management practices. Component products can be downloaded from www.mrlc.gov.

Tags: annual-herbaceous, arizona, arizona-plateau, az, back-in-time, bare-ground, big-sagebrush, biota, black-hills, blue-mountains, ca, california, chihuahuan, chihuahuan-desert, climate-change, co, colorado, colorado-plateau, columbia-plateau, desert, environment, geoscientificinformation, grand-canyon, grass, grassland-change, great-basin, gunnison, herbaceous, id, idaho, imagerybasemapsearthcover, litter, mediterranean-california, middle-rockies, mojave, montana, mt, mts, nd, ne, nebraska, nevada, new-mexico, nm, north-dakota, north-plains, northern-great-plains, northern-great-salt-lake-desert, northern-mountainous, northern-rocky-mountains, nv, or, oregon, plains, plateau, rangeland, rangeland-management, rocky-mountains, sagebrush, sd, shrub, shrubland, shrubland-change, shrubland-ecosystems, shrublands, sierra-nevada, sonoran, sonoran-desert, south-dakota, southern-great-salt-lake-desert, southern-rocky-mountains, southwest-tablelands, terrestrial-ecosystems, texas, the-rockies, three-forks, time-series, trends, tx, united-states, usgs-60b7cd06d34e86b938873009, ut, utah, vegetation, vegetation-change, wa, wasatch, washington, western-us, wy, wyoming, wyoming-basin, yellowstone
Organization: Department of the Interior
Chance of potentially damaging ground shaking (MMI=VI) in 100 years, based on the 2021 update to the National Seismic Hazard Model for Hawaii.

This data set represents the chance of potentially damaging ground shaking (MMI=VI) in 100 years for a grid of points with a spacing of 0.02 degrees in latitude and longitude. Using the appropriate hazard curve at each grid point, the annual frequency of exceedance of experiencing MMI VI based on a peak ground acceleration of 0.08461g, and on a 1.0-second spectral acceleration of 0.06856 for NEHRP soil site class D (Vs30 = 260 m/s). This average rate is converted to a Poisson probability of damaging shaking with a 100-year return period.

Tags: earthquakes, hawaii, hazards, seismology, united-states, usa, usgs-60be1beed34e86b9389104a1
Organization: Department of the Interior
Object-Based Image Analysis Detection of Aquatic Vegetation, Lake Erie, Western Basin, 2018

The USGS developed the second in a series of informative spatial distribution datasets of submersed aquatic vegetation (SAV) in the western basin of Lake Erie. The second dataset was developed by object-based image analysis of high-resolution imagery (US waters &lt; 6 meters deep) collected during peak biomass in 2018 to allow assessments of changes in SAV distribution. Assessing SAV abundance may contribute to inform the long-term impacts of Grass Carp, Common Carp, eutrophication, wind fetch and sedimentation on vegetation communities throughout Lake Erie and the impact these stressors may have on other organisms in the ecosystem. These data may also help inform the deployment of toxic bait deployments targeting Grass Carp. Bait placement can be strategically aligned with the spatial distribution and diet preferences of Grass carp to maximize control efforts while minimizing impacts to native species. These data provide a good baseline of SAV at an early point in the invasion/population growth curve for grass carp from which later assessments/models might project from, and also considered valuable for bioenergetic modeling efforts to project grass carp biomass or other species dependent on SAV.

Tags: aquatic-vegetation, biota, ctenopharyngodon-idella, freshwater-ecosystems, great-lakes, image-analysis, lake-erie, remote-sensing, usgs-60aeab1cd34e4043c853a16d, usgs-cc-asian-carp, usgs-cc-great-lakes, western-lake-erie
Organization: Department of the Interior
Model Archive Summary for acoustic derived suspended-sediment concentration at 14144700 Columbia River at Vancouver, WA

Model archive summary describing the development of an acoustic derived suspended sediment time series computation model. The model archive summary describes the methods and techniques used to develop the model for the Columbia River at Vancouver, WA – USGS site ID# 14144700. The time series suspended sediment data will help determine the suspended sediment concentration at the site in real-time enabling science entities, managers, and others, track the movement of sediment in the Columbia River

Tags: geomorphology, hydrology, sedimentology, usgs-60b7bfc7d34e86b938872941, water-quality, water-resources
Organization: Department of the Interior
Census (Survey) Database Used for Demographic Analysis of Agassiz’s Desert Tortoise (Gopherus agassizii) on a 7.77 square km plot inside and outside the fenced Desert Tortoise Research Natural Area, Western Mojave Desert, USA, over a 34-year Period

We developed a model for analyzing multi-year demographic data for long-lived animals and used data from a population of Agassiz’s desert tortoise (Gopherus agassizii) at the Desert Tortoise Research Natural Area in the western Mojave Desert of California, USA, as a case study. The study area was 7.77 square kilometers and included two locations: inside and outside the fenced boundary. The wildlife-permeable, protective fence was designed to prevent entry from vehicle users and sheep grazing. We collected mark-recapture data from 1,123 tortoises during 7 annual surveys consisting of two censuses each over a 34-year period. We used a Bayesian modeling framework to develop a multistate Jolly-Seber model because of its ability to handle unobserved (latent) states and modified this model to incorporate the additional data from non-survey years. For this model we incorporated 3 size-age states (juvenile, immature, adult), sex (female, male), two location states (inside and outside the fenced boundary) and 3 survival states (not-yet-entered, entered/alive, and dead/removed).  We calculated population densities and estimated probabilities of growth of the tortoises from one size-age state to a larger size-age state, survival after 1 year and 5 years, and detection. Our results show a declining population with low estimates for survival after 1 year and 5 years. The probability for tortoises to move from outside to inside the boundary fence was greater than for tortoises to move from inside the fence to outside. The probability for detecting tortoises differed by size-age state and was lowest for the smallest tortoises and highest for the adult tortoises. The framework for the model can be used to analyze other animal populations where vital rates are expected to vary depending on multiple individual states. The model was incorporated into the manuscript that included several other databases for publication in Wildlife Monographs in 2020 by Berry et al.

Tags: biota, california, desert-tortoise-research-natural-area, habitat-fragmentation, human-impacts, mathematical-modeling, mojave-desert, population-dynamics, usgs-60b7b52dd34e86b938872519, usgs-ema-low-pl-mojave-desert-sw-desert, usgs-ema-low-sb-tampe-listed-reptiles
Organization: Department of the Interior
Clinical Signs of Health, Disease, and Trauma in Desert Tortoises (Gopherus agassizii) During a Long-term Study of Populations and Habitat at a 7.77 square km Study Area at the Desert Tortoise Research Natural Area, Western Mojave Desert, USA

Clinical signs of health, disease, and trauma were collected as part of a long-term research program on Agassiz’s desert tortoises (Gopherus agassizii) at a 7.77 square km plot at the fenced Desert Tortoise Research Natural Area in the western Mojave Desert, USA. Surveys for health, infectious and non-infectious diseases were initiated in 1993, because of an outbreak of infectious upper respiratory tract disease caused by Mycoplasma agassizii, M. testudineum, and possibly herpesvirus (TeHV2). The disease outbreak was discovered in 1988-1989. Moderate to severe clinical signs of upper respiratory tract disease increased over time on four surveys, from 1993 through 2012. Moderate to severe signs of shell lesions (cutaneous dyskeratosis, fungal involvement) varied significantly by year. Moderate to severe clinical signs of healed, healing or moderate trauma varied from 29.8 to 42.3 percent in all sizes of tortoises. Evidence of trauma was best predicted by size-age class of the tortoises with rates increasing as size-class increased.

Tags: biota, california, desert-tortoise-research-natural-area, mojave-desert, usgs-60b7b4add34e86b9388724e5, usgs-ema-low-pl-mojave-desert-sw-desert, usgs-ema-low-sb-tampe-listed-reptiles, wildlife-disease
Organization: Department of the Interior
Hanna 77, 78, 79 and 81 coal zone study limit boundaries, Wyoming (ha*stdyg)

These ArcView shapefiles contain representations of the Hanna coal zone study limit boundaries in the Hanna coalfield, Hanna Basin, Wyoming.  These shapefiles were created specifically for the National Coal Resource Assessment in the Northern Rocky Mountains and Great Plains Region.

Tags: boundary, carbon-county, coal, economy, environment, geoscientificinformation, hanna-77-coal-zone, hanna-77-study-limit, hanna-78-coal-zone, hanna-78-study-limit, hanna-79-coal-zone, hanna-79-study-limit, hanna-81-coal-zone, hanna-81-study-limit, hanna-basin, hanna-coalfield, hanna-formation, hannabasincoal, national-coal-resource-assessment, nca2000, northern-rocky-mountain-and-great-plains-fort-union-coal-resources-assessment, northern-rocky-mountains-and-great-plains-region, nrockiescoal, study-limit, usgs-60c921bad34e86b9389df072, wyoming
Organization: Department of the Interior
Surface Water Trends for the Conterminous United States using monthly DSWEmod Surface Water Maps, 2003–2019

The Dynamic Surface Water Extent MODIS (DSWEmod) surface water maps for the conterminous United States were used for a study conducted by the U.S. Geological Survey (USGS) Patterns in the Landscape - Analyses of Cause and Effect (PLACE) team quantifying seasonal and annual surface water trends within Environmental Protection Agency (EPA) Level I and Level III Ecoregions (Omernik, 1987) across the U.S. from 2003 through 2019. The overarching objectives of this study were to, (i) generate the monthly DSWEmod maps for the conterminous United States, (ii) review the spatial and temporal dynamics of surface water extent across ecoregions, and (iii) compare surface water area trends to streamgage discharge trends to determine where and how well different approaches to measuring water dynamics align. The DSWEmod model classifies the landscape (i.e., each 250-meter Moderate Resolution Imaging Spectroradiometer, or MODIS, pixel) into different classes of surface water based on quantified levels of confidence, including, (i) high-confidence surface water (class 1), (ii) moderate-confidence surface water (class 2), (iii) potential wetland (class 3), and (iv) low-confidence water/wetland (class 4), as well as a not-water class (class 0) and a no-data class (class 9). The confidence level is based on thresholds within various water- and vegetation-based indices. The level of confidence is based on how many, and, which index thresholds are met. Only high-confidence surface water (class 1) was considered in this study. 
This data release includes a vector shapefile consisting of 85 polygons, delineating EPA Level III Ecoregions for the conterminous United States. For each Level III Ecoregion, we include attributes identifying, (i) their respective Level I Ecoregion name and identification number, (ii) quantified seasonal and overall mean water area, (iii) comparisons with U.S. Geological Survey (USGS) National Water Information System (NWIS) streamgage discharge trends, (iv) mean surface water extent statistics (mean, minimum, maximum, standard deviation, coefficient of variation, percent of ecoregion), and (v) seasonal and overall results from the Mann-Kendall statistical analysis. An associated manuscript describes the methodology, results, and conclusions from this study.

Tags: conterminous-united-states, dynamic-surface-water-extent, level-i-ecoregions, level-iii-ecoregions, mann-kendall-trend-analysis, moderate-resolution-imaging-spectroradiometer-modis, sens-slope, surface-water, usgs-60b7b2fed34e86b938872434
Organization: Department of the Interior
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Fractional Component Time-Series Across the Western U.S. 1985-2020 - Litter

The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2020. The RCMAP product suite consists of eight fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub and rule-based error maps including the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. We used an updated version of the 2016 base training data, with a more aggressive forest mask and reduced shrub and sagebrush cover bias in pinyon-juniper woodlands. We pooled training data in areas and times identified as having no spectral change relative to the base year across all years in the time-series and used a series of procedures to remove the most spatially and temporally common values. We also used composite Landsat Analysis Ready Data (ARD) in seven regions instead of using individual images by path and row. An automated method to identify change in spectral conditions between each year in the Landsat archive and the circa 2016 base map, resulted in a robust and sensitivity of subtle changes. Yearly fractional component cover outputs were inserted in the changed area while the base year values were maintained in the unchanged area. Processing efficiency has been increased through use of open-source software and High-Performance Computing (HPC) resources. The mapping area included seven regions which were subsequently mosaicked for all eight components. 
These data can be used to answer critical questions regarding the influence of climate change and the suitability of management practices. Component products can be downloaded from www.mrlc.gov.

Tags: annual-herbaceous, arizona, arizona-plateau, az, back-in-time, bare-ground, big-sagebrush, biota, black-hills, blue-mountains, ca, california, chihuahuan, chihuahuan-desert, climate-change, co, colorado, colorado-plateau, columbia-plateau, desert, environment, geoscientificinformation, grand-canyon, grass, grassland-change, great-basin, gunnison, herbaceous, id, idaho, imagerybasemapsearthcover, litter, mediterranean-california, middle-rockies, mojave, montana, mt, mts, nd, ne, nebraska, nevada, new-mexico, nm, north-dakota, north-plains, northern-great-plains, northern-great-salt-lake-desert, northern-mountainous, northern-rocky-mountains, nv, or, oregon, plains, plateau, rangeland, rangeland-management, rocky-mountains, sagebrush, sd, shrub, shrubland, shrubland-change, shrubland-ecosystems, shrublands, sierra-nevada, sonoran, sonoran-desert, south-dakota, southern-great-salt-lake-desert, southern-rocky-mountains, southwest-tablelands, terrestrial-ecosystems, texas, the-rockies, three-forks, time-series, trends, tx, united-states, usgs-60b7a890d34e86b938872094, ut, utah, vegetation, vegetation-change, wa, wasatch, washington, western-us, wy, wyoming, wyoming-basin, yellowstone
Organization: Department of the Interior