AndreaBozzo/ceres-open-data-index huggingface dataset:
Digital location of monoclines and structural uplifts of the Colorado Plateau, Arizona, Colorado, New Mexico, and Utah

The Colorado Plateau structural province features long monoclinal flexures between uplifts and basins that are the major lines of deformation within and marginal to the Plateau. These folds are named, well-known, and have been described as part of several previous tectonic syntheses of the Colorado Plateau (Kelley, 1955; Davis, 1978; 1999). However, no digital data have ever been created that locate these folds in digital map space. This digital dataset compiles mapped locations of monoclinal folds from several geologic maps from the Colorado Plateau, most released only in “paper”, non-vector format. Fold names and their general map trace were guided by regional-scale maps that synthesize the tectonic elements of the Colorado Plateau, but specific location of the fold axes relied on detailed geologic maps, augmented by inspection of imagery and digital elevation models. Structural Uplifts on the Colorado Plateau are doubly plunging, asymmetric, elliptical shaped anticlinal features often bounded on one side by a monoclinal fold. Locations and shapes of the major structural uplifts on the Colorado Plateau were modified from regional tectonic maps (Kelley, 1955; Davis, 1978; 1999) and are included with the digital dataset primarily for reference and context.
The dataset includes a geographic information system geodatabase that contains a polyline feature class of the monocline fold axes and a polygon feature class showing the general location of structural uplifts. Vector data are attributed according to the USGS National Cooperative Geologic Mapping Program’s GeMS digital geologic map schema; monoclines are attributed within a GeologicLines feature class and uplifts are attributed within an OverlayPolys feature class. The spatial data are accompanied by non-spatial tables that describe the sources of geologic information, a glossary of terms, and a Data Dictionary that duplicates the Entity and Attribute information contained in the metadata file. To maximize usability, spatial data are also distributed as shapefiles and tabular data are distributed as ascii text files in comma separated values (CSV) format.

Tags: arizona, colorado, colorado-plateau, elevation, folding-geologic, geologic-structure, geoscientificinformation, new-mexico, piceance-basin, san-juan-basin, structural-geology, uinta-basin, upper-colorado-river-basin, usgs-6568b5fdd34e17319ded0eb7, utah
Organization: Department of the Interior
Digital Data from a Previously Published Tectonic Map of the Colorado Plateau

This digital dataset release of the Tectonic Map of the Colorado Plateau is a courtesy publication of the previously published legacy report by V.C. Kelley in 1955. The original publication, "Tectonic Map of the Colorado Plateau Showing Uranium Deposits" contains elevation contours from the top of the Chinle formation in 1000 ft intervals and geologic structural formations such as monoclinal, synclinal, and anticlinal structures. The digitizing of this map is to provide a more accessible dataset to be available for public usage. The original dataset was in relation to a larger project by the University of New Mexico and their publications in geology  of uranium distributions throughout the Colorado Plateau (Kelley, V.C., 1955, Regional tectonics of the Colorado Plateau and relationship to the origin and distribution of uranium: Albuquerque, University of New Mexico, Publications in Geology no. 5, 120 p., 1 sheet, scale 1:1,000,000.).
The entirety of this dataset includes both spatial and non-spatial data held in a singular, GeMS compliant geodatabase. This geodatabase includes a geologic map feature dataset holding fault lines, iso value lines, structure contours, and other geologic lines; nonspatial data recorded in standalone tables such as a description of map units, glossary, data source reference, geomaterials dictionary, and their entities and attributes. Data source references include web links to published standards, data dictionaries, and any other referenced data within the published map. There is a final nonspatial table that is in reference to the original digitized and identified geologic structures per the legacy map plate, these structures were broken up by state (Arizona, Colorado, New Mexico, and Utah) with each structure given a numerical value (starting at 1, for each individual state) these structures were compiled into a synchronous excel document to provide a digital record of those structures and features listed on the legacy map plate.

Tags: anticline, arizona, biota, chinle-formation, colorado, colorado-plateau, elevation, federal-geographic-data-committee, four-corners, gems, geologic-map-schema, geology, high-angle-fault, monocline, national-cooperative-geologic-map-program, national-geologic-synthesis-project, new-mexico, plateau, structure-contour, syncline, thrust-fault, triassic, uplift, uplifts, uranium, usgs-6567af22d34e17319ded0b9d, utah, vector-digital-data
Organization: Department of the Interior
Data associated with nutrient diffusing substrate experiments conducted in Lake Michigan and Lake Erie (2017)

Metals are used in primary producer metabolic pathways, such as photosynthesis and the acquisition of macronutrients nitrogen (N) and phosphorus (P), yet we often do not know their potential as limiting nutrients in freshwaters.  In the Great Lakes, metals have sometimes been identified as limiting the acquisition of macronutrients, mostly in off-shore waters that are relatively isolated from tributary inputs and sediment interactions.  We hypothesized that another area where metals might be important was within harmful algal blooms (HABs).  Harmful algal blooms are more likely to occur where N and P loads are elevated due to human activities, but short-term growth assays still often find summer bloom communities are N or P limited due to high biotic demand.  This high biotic is associated with rapid nutrient recycling which may increase demand for trace metals beyond the available supply.  A relatively common cyanotoxin (microcystin) has also been hypothesized to have a role in trace metal management, so trace metal demand may also influence the toxicity of bloom communities.  Here, we used nutrient diffusing substrates to measure the magnitude of macronutrient and trace metal effects on growth and toxicity of biofilms suspended in 10 nearshore sites in Lake Michigan and Lake Erie (5 with and 5 without perennial HABs).  We measured microcystin, chlorophyll a, ash free dry mass and community composition on the experimental biofilms.

Tags: biofilm, biota, cyanobacteria, great-lakes, green-bay, harmful-algal-blooms, lake-erie, lake-michigan, maumee-bay, microcystin, nitrogen, periphyton, phosphorus, trace-metals, usgs-6567a6add34e17319ded0b76
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2021 Site 0488 land-water classification data

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 398 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 2021 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. Five previous assessments have been conducted (2005, 2008, 2012, 2015/2016, and 2018). 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-6569e504d34e6dde1a4ae099, wetland, wetland-restoration
Organization: Department of the Interior
Model Archival Summary for Suspended-Sediment Concentration at U.S. Geological Survey Site 06887000, Big Blue River near Manhattan, Kansas, during July 2018 through August 2023

This model archival summary summarizes the suspended-sediment concentration (SSC; U.S. Geological Survey [USGS] parameter code 80154) model developed to compute 15-minute, hourly, or daily SSC from July 26, 2018, onward. This model is specific to USGS site 06887000, the Big Blue River near Manhattan, Kansas, during this study period and cannot be applied to data collected from other locations on the Big Blue River or data collected from other water bodies. The methods follow USGS guidance as referenced in relevant Office of Surface Water/Office of Water Quality Technical Memoranda and USGS Techniques and Methods, book 3, chapter C4 (Rasmussen and others, 2009; U.S. Geological Survey, 2016).

Tags: big-blue-river, inlandwaters, kansas, suspended-material-water, tuttle-creek-lake, usgs-656749e2d34e17319ded095c
Organization: Department of the Interior
Beach topography of the Columbia River littoral cell, Washington and Oregon, 2023

This portion of the USGS data release presents topography data collected during surveys performed in the Columbia River littoral cell, Washington and Oregon, in 2023 (USGS Field Activity Number 2023-644-FA). Topographic profiles were collected by walking along survey lines with global navigation satellite system (GNSS) receivers mounted on backpacks. Prior to data collection, vertical distances between the GNSS antennas and the ground were measured using a tape measure. Hand-held data collectors were used to log raw data and display navigational information allowing surveyors to navigate survey lines spaced at 100- to 1000-m intervals along the beach. Profiles were surveyed from the landward edge of the study area (either the base of a bluff, engineering structure, or just landward of the primary dune) over the beach foreshore, to wading depth on the same series of transects as nearshore bathymetric surveys that were conducted during the same time period. Additional topographic data were collected between survey lines in some areas with an all-terrain vehicle (ATV) equipped with a GNSS receiver to constrain the elevations and alongshore extent of major morphological features. Positioning data from the survey platforms were referenced to a GNSS base station with known horizontal and vertical coordinates relative to the North American Datum of 1983. Differential corrections from the GNSS base stations to the survey platforms were either applied in real-time with a UHF radio link, or post-processed using Trimble Business Center software. Orthometric elevations relative to the NAVD88 vertical datum were computed using National Geodetic Survey Geoid12a offsets. The average estimated vertical uncertainty of the topographic measurements is 4 cm. The final point data are provided in comma-separated text format and are projected in Cartesian coordinates using the Washington State Plane South, meters coordinate system.

Tags: bathymetry-and-elevation, clatsop-county, cmhrp, coastal-and-marine-hazards-and-resources-program, columbia-river, elevation, global-positioning-system-gps-observations, gps-global-positioning-system, gps-measurement, grays-harbor-county, pacific-coastal-and-marine-science-center, pacific-county, pacific-ocean, pcmsc, topography, u-s-geological-survey, usgs, usgs-65668173d34e17319deceb69
Organization: Department of the Interior
LANDFIRE 2022 Existing Vegetation Type (EVT) HI

LANDFIRE's (LF) 2022 update (LF 2022) Existing Vegetation Type (EVT) represents the current distribution of the terrestrial ecological systems classification developed by NatureServe for the western hemisphere. In this context, a terrestrial ecological system is defined as a group of plant community types that tend to co-occur within landscapes with similar ecological processes, substrates, and/or environmental gradients. EVT also includes ruderal or semi-natural vegetation types within the U.S. National Vegetation Classification [(NVC) https://usnvc.org/]. See the EVT product page (https://www.landfire.gov/evt.php) for more information about ecological systems and NVC classifications.  
EVT is mapped using decision tree models, field data, Landsat imagery, topography, and biophysical gradient data. Decision tree models are developed separately for tree, shrub, and herbaceous lifeforms which are then used to produce a lifeform specific EVT product. These models are generated for each Environmental Protection Agency (EPA) Level III Ecoregion (https://www.epa.gov/eco-research/ecoregions). Riparian, alpine, sparse, and other site-specific EVTs are constrained by predetermined masks. Urban and developed areas are derived from the National Land Cover Database (NLCD), and the latest Microsoft Building Footprint dataset. Agricultural lands originate from the 2022 Cropland Data Layer (CDL) and the 2019 California Statewide Crop Mapping layer. Burnable developed classes are identified from building footprint dataset thresholds. LF 2022 retains circa 2016 EVT labels except where shifts in urban, agriculture, and developed classes occur. While Existing Vegetation Cover (EVC) and Height (EVH) are updated using transition rulesets with ST-Sim to account for disturbances, EVT remains unchanged, therefore EVT lifeform is not synchronized to the EVC/EVH lifeform as in some previous versions. LF uses EVT as an input for LF 2022 Fuel Vegetation Type (FVT).

Tags: biota, evt, existing-vegetation-type, fires, geographic-information-systems, geospatial-datasets, hawaii, hazard-preparedness, hi, image-collections, imagerybasemapsearthcover, landfire-2022, lf-2022, oconus, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-65666570d34e3aa43a43fafa
Organization: Department of the Interior
LANDFIRE 2022 Existing Vegetation Height (EVH) HI

LANDFIRE's (LF) 2022 update (LF 2022) Existing Vegetation Height (EVH) represents the average height of the dominant vegetation for a 30-m cell. EVH is produced separately for tree, shrub, and herbaceous lifeforms using training data depicting the average height weighted by species cover and Existing Vegetation Type (EVT) lifeform. Decision tree models using field reference data, lidar, and Landsat are developed separately for each lifeform, then lifeform specific height class layers are merged along with land cover into a single EVH product. EVH ranges are continuous for herbaceous lifeform ranging from 0.1 to 1 meter with decimeter increments, 0.1 to 3 meters for shrub lifeform, and 1 to 99 meters for tree lifeform. If the height values of each lifeform exceed the continuous value range, they are binned into the appropriate maximum height class. EVH is then reconciled through QA/QC measures to ensure lifeform is synchronized with both Existing Vegetation Cover (EVC) and EVT products. Disturbance events not visible in the source imagery are accounted for by using LF 2022 Annual Disturbance products. LF uses EVH as an input for LF 2022 Fuel Vegetation Cover (FVH).

Tags: biota, evh, existing-vegetation-height, fires, geographic-information-systems, geospatial-datasets, hawaii, hazard-preparedness, hi, image-collections, imagerybasemapsearthcover, landfire-2022, lf-2022, oconus, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-6566650fd34e3aa43a43faf6
Organization: Department of the Interior
LANDFIRE 2022 Existing Vegetation Cover (EVC) HI

LANDFIRE's (LF) 2022 update (LF 2022) Existing Vegetation Cover (EVC) represents the vertically projected percent cover of the live canopy for a 30-m cell. EVC is produced separately for tree, shrub, and herbaceous lifeforms. Training data depicting percentages of canopy cover are obtained from plot-level ground-based visual assessments and lidar observations. These are combined with Landsat imagery (from multiple seasons), to inform models built independently for each lifeform. Tree, shrub, and herbaceous lifeforms each have a potential range from 10% to 100% (cover values less than 10% are binned into the 10% value). The three independent lifeform datasets are merged into a single product based on the dominant lifeform of each pixel. The EVC product is then reconciled through QA/QC measures to ensure lifeform is synchronized with Existing Vegetation Height (EVH). Urban and developed areas are derived from the National Land Cover Database (NLCD), and the latest available Microsoft Building Footprint dataset. Agricultural lands originate from the 2022 Cropland Data Layer (CDL) and the 2019 California Statewide Crop Mapping layer. Disturbance events after 2016 are accounted for by incorporating transition rulesets using LF 2022 Fuel Disturbance (FDist). LF uses EVC as an input for LF 2022 Fuel Vegetation Cover (FVC).

Tags: biota, evc, existing-vegetation-cover, fires, geographic-information-systems, geospatial-datasets, hawaii, hazard-preparedness, hi, image-collections, imagerybasemapsearthcover, landfire-2022, lf-2022, oconus, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-65666499d34e3aa43a43faef
Organization: Department of the Interior
LANDFIRE 2022 Fuel Vegetation Type (FVT) HI

LANDFIRE (LF) 2022 Fuel Vegetation Type (FVT) represents the LF Existing Vegetation Type Ecological Systems (EVT) product, modified to represent pre-disturbance EVT in areas where disturbances have occurred over the past 10 years. Due to shifting EVT codes and labels throughout the years, the FVT codes are based on an early version of EVT codes translated from the current version. FVT is an input for fuel transitions related to disturbance. Fuel products in LF 2022 were created with LF 2016 Remap vegetation in non-disturbed areas. 
To designate disturbed areas where FVT is modified, the aggregated Annual Disturbance products from 2013 to 2022 in the Fuel Disturbance (FDist) product are used. All existing disturbances between 2013-2022 are represented in the LF 2022 update, and the products are intended to be used in 2023 (the year of release). The "capable" year terminology used in LF 2020 and LF 2016 Remap is no longer specified, due to reduction in latency from when a disturbance occurs to the release date of fuel products accounting for that disturbance. However, users should still consider adjusting fuel layers for disturbances that occurred after the end of the 2022 fiscal year (after October 1st, 2022) when using the LF 2022 fuel products. Because those changes would not be accounted for. Learn more about LF 2022 at https://landfire.gov/lf_230.php .

Tags: biota, evt, existing-vegetation-type, fires, fuel-vegetation-type, fvt, geographic-information-systems, geospatial-datasets, hawaii, hazard-preparedness, hi, image-collections, imagerybasemapsearthcover, landfire-2022, lf-2022, oconus, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-65666422d34e3aa43a43fae6
Organization: Department of the Interior
LANDFIRE 2022 Fuel Vegetation Height (FVH) HI

LANDFIRE (LF) 2022 Fuel Vegetation Height (FVH) represents the LF Existing Vegetation Height (EVH) product, modified to represent pre-disturbance EVH in areas where disturbances have occurred over the past 10 years. EVH is mapped as continuous estimates of canopy height for tree, shrub, and herbaceous lifeforms with a potential range of 0-100m. Continuous EVH values are binned to align with fuel model assignments when creating FVH. FVH is an input for fuel transitions related to disturbance. Fuel products in LF 2022 were created with LF 2016 Remap vegetation in non-disturbed areas. 
To designate disturbed areas where FVH is modified, the aggregated Annual Disturbance products from 2013 to 2022 in the Fuel Disturbance (FDist) product are used. All existing disturbances between 2013-2022 are represented in the LF 2022 update, and the products are intended to be used in 2023 (the year of release). The “capable” year terminology used in LF 2020 and LF 2016 Remap is no longer specified, due to reduction in latency from when a disturbance occurs to the release date of fuel products accounting for that disturbance. However, users should still consider adjusting fuel layers for disturbances that occurred after the end of the 2022 fiscal year (after October 1st, 2022) when using the LF 2022 fuel products. Because those changes would not be accounted for. Learn more about LF 2022 at https://landfire.gov/lf_230.php .

Tags: biota, evh, existing-vegetation-height, fires, fuel-vegetation-height, fvh, geographic-information-systems, geospatial-datasets, hawaii, hazard-preparedness, hi, image-collections, imagerybasemapsearthcover, landfire-2022, lf-2022, oconus, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-6566638cd34e3aa43a43fae0
Organization: Department of the Interior
LANDFIRE 2022 Fuel Vegetation Cover (FVC) HI

LANDFIRE (LF) 2022 Fuel Vegetation Cover (FVC) represents the LF Existing Vegetation Cover (EVC) product, modified to represent pre-disturbance EVC in areas where disturbances have occurred over the past 10 years. EVC is mapped as continuous estimates of canopy cover for tree, shrub, and herbaceous lifeforms with a potential range from 10% to 100%. Continuous EVC values are binned to align with fuel model assignments when creating FVC. FVC is an input for fuel transitions related to disturbance. Fuel products in LF 2022 were created with LF 2016 Remap vegetation in non-disturbed areas. 
To designate disturbed areas where FVC is modified, the aggregated Annual Disturbance products from 2013 to 2022 in the Fuel Disturbance (FDist) product are used. All existing disturbances between 2013-2022 are represented in the LF 2022 update, and the products are intended to be used in 2023 (the year of release). The "capable" year terminology used in LF 2020 and LF 2016 Remap is no longer specified, due to reduction in latency from when a disturbance occurs to the release date of fuel products accounting for that disturbance. However, users should still consider adjusting fuel layers for disturbances that occurred after the end of the 2022 fiscal year (after October 1st, 2022) when using the LF 2022 fuel products. Because those changes would not be accounted for. Learn more about LF 2022 at https://landfire.gov/lf_230.php .

Tags: biota, evc, existing-vegetation-cover, fires, fuel-vegetation-cover, fvc, geographic-information-systems, geospatial-datasets, hawaii, hazard-preparedness, hi, image-collections, imagerybasemapsearthcover, landfire-2022, lf-2022, oconus, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-65666309d34e3aa43a43facd
Organization: Department of the Interior