AndreaBozzo/ceres-open-data-index huggingface dataset:
Laboratory Optical Measurements From Discrete Surface Water Samples Collected During Water Quality Mapping Campaigns on the Illinois Waterway and Chicago Area Waterway Systems

Fluorescence and absorbance spectra were measured in discrete surface water samples collected during three sampling campaigns (Nov 2022, Mar/Apr 2023, Jul 2023) on the Illinois Waterway (IWW) and Chicago Area Waterway System (CAWS), which are the primary drainage of the Illinois River Basin (IRB). Water sampling was conducted concurrently with a boat-based water quality mapping effort using the Fast Limnology Automated Measurement (FLAMe) system (Crawford et al., 2015). Each campaign began in the Chicago metropolitan area, and after having sampled Lake Michigan, entered into the upper extent of the IWW, sampling through the CAWS into the lower reaches of the Des Plaines River and finally the Illinois River. After 8-10 days of traveling downriver through the IWW, sampling ended in the Mississippi River upstream of St Louis, Missouri. Discrete water quality samples were collected from various sites that include main channel, tributaries, and off-channel areas (e.g., backwaters) from a depth of 1 meter (m), typically in the center of the channel or aquatic feature. Between 25 and 40 sites were sampled per campaign dependent upon river conditions and boat accessibility. Data reported here are compiled into three tables: 1) full fluorescence spectra in vectorized format, 2) full absorbance spectra, and 3) summary optical measurements commonly used in statistical analyses.

Tags: absorbance, aqualog, california, california-water-science-center, dissolved-organic-matter, elevation, fluorescence, hydrology, organic-matter-research-laboratory, sacramento, usgs-65cbc86ad34ef4b119cb3836, water-quality
Organization: Department of the Interior
Suspended-sediment concentration and grain size in the San Lorenzo River, coastal California

Water samples were collected from the San Lorenzo River, Santa Cruz, California, and analyzed for suspended-sediment concentration and sand break (proportion of sand vs. silt-plus-clay) at the U.S. Geological Survey (USGS) laboratory in Santa Cruz, California. The samples were all single-vertical samples collected from the thalweg of the river, using a D-95 sampler deployed from a bridge box at a pedestrian bridge across the river in downtown Santa Cruz. All samples were collected from that location: 36.97565, -122.02322. The USGS acknowledges sampling permission granted by the city of Santa Cruz. Sediment concentrations and sand-break data are presented for use alongside stream-flow data collected by the USGS at gaging station 11161000, “San Lorenzo River at Santa Cruz”. The discharge data for gaging station 11161000 are separately accessible at https://waterdata.usgs.gov/ca/nwis/uv/?site_no=11161000. The discharge values associated with the suspended-sediment sampling reported here are provided so that users may easily reproduce the sediment rating curve.

Tags: cmhrp, coastal-and-marine-hazards-and-resources-program, data-content-subjects, datasets, earth-sciences, environment, field-inventory-and-monitoring, geoscientificinformation, inlandwaters, nonliving-resources, pacific-coastal-and-marine-science-center, pcmsc, sedimentology, u-s-geological-survey, usgs, usgs-65cbc31cd34ef4b119cb3805, water-sampling
Organization: Department of the Interior
Updated CONUS river network attributes and geometry based on the NHDPlusV2, E2NHDPlusV2, and NWMv2.1 networks (ver. 3.0, August 2024)

These attributes are based on the NHDPlusV2 network geometry and modifications retrieved
from the National Water Model V2.1 (NWMv2.1) and "E2NHDPlusV2_us: Database of Ancillary
Hydrologic Attributes and Modified Routing for NHDPlus Version 2.1 Flowlines" (E2NHDPlusV2)
datasets. The attributes included are: comid, tocomid, ftype, fcode, gnis_name, gnis_id, 
fromnode, tonode, divergence, streamleve, streamorde, streamcalc, reachcode, frommeas, tomeas, 
lengthkm, arbolatesu, pathlength, areasqkm, totdasqkm, hwnodesqkm, hydroseq, dnhydroseq, levelpathi,
terminalpa, dnlevelpat, terminalfl, terminalfl, wbareatype, wbareacomi, slope, slopelenkm, 
roughness, vpuin, vpuout, rpuid, vpuid. These attributes are
available in four formats: csv, fst, parquet, and geopackage. "fst" is a high-performance format for
use with the R programming language "fst" package. "parquet" is a high-performance format
for use with multiple programming languages (including python) that support the Apache Arrow
Parquet format. Geopackage is an open standard geodatabase format and includes both the 
attributes and geometry included in this data release.
The comid field of these data can be used to join to the National Hydrography
Dataset Plus V2.1 (NHDPlusV2) flowline comid or catchment featureid attributes. The included
attributes follow the same data model as the NHDPlusV2 but include numerous updates and
improvements to network connectivity. All attributes that depend on network connectivity
have been recalculated.
Version 3.0 includes updated flowline geometry in a geopackage geodatabase file with node geometry 
digitized in agreement with the network topology and all derived attributes compatible with non-dendritic network
assumptions. Version 3.0 also now includes specific records of edits applied to the NHDPlusV2 from the NWMV2.1
and E2NHDPlusV2 in seperate geopackage geodatabases. See the entity and attributes section of this metadata
record for more information.

Tags: hydrography, hydrology, inlandwaters, network, usgs-65cbbb98d34ef4b119cb37c9
Organization: Department of the Interior
Postfire Debris-Flow Database (Literature Derived)

The data presented in this data release represent observations of postfire debris flows that have been collected from publicly available datasets. Data originate from 13 different countries: the United States, Australia, China, Italy, Greece, Portugal, Spain, the United Kingdom, Austria, Switzerland, Canada, South Korea, and Japan. The data are located in the file called “PFDF_database_sortedbyReference.txt” and a description of each column header can be found in both the file “column_headers.txt” and the metadata file (“Post-fire Debris-Flow Database (Literature Derived).xml”). The observations are derived from areas that have been burned by wildfire and are global in nature. However, this dataset is synthesized from information collected by many different researchers for different purposes, and therefore not all fields are available for each of the observations. Missing information is indicated by the value “-9999” in the ”PFDF_database_sortedbyReference.txt” file.  Note that the text file contains special characters and a mix of date-time formats that reflect the original data provided by the authors. The text may not be displayed correctly if it is opened by proprietary software such as Microsoft Excel but will appear correctly when opened in a text editor software.

Tags: california, china, debris-flow, environment, greece, health, italy, oceans, united-states, usgs-65cbade9d34ef4b119cb376c, wildfire
Organization: Department of the Interior
Population genetic analysis of the rusty patched bumble bee in extant locations in 2022

This is a dataset of locations and population genetic information based on microsatellite analysis of rusty patched bumble bee (Bombus affinis).  Data were collected over the course of two years (2020 and 2021), and genetic analysis took place in 2022.

Tags: biota, bumble-bee, endangered-species, genetics, population-genetics, usgs-65caf289d34ef4b119cb34f5
Organization: Department of the Interior
Carbon Dioxide Storage Resources-Wind River Basin: Chapter O, Spatial Data

The storage assessment unit (SAU) is the fundamental unit used in the National Assessment of Geologic Carbon Dioxide Storage Resources project for the assessment of geologic CO2 storage resources. The SAU is shown here as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the assessment interval. Individual SAUs are defined on the basis of common geologic and hydrologic characteristics. The resource that is assessed is the mass of CO2 that can be stored in the technically accessible pore volume of a storage formation. The technically accessible storage resource is one that may be available using present-day geological and engineering knowledge and technology for CO2 injection into geologic formations and therefore is not a total in-place resource estimate. The SAU boundary is defined geologically as the limits of the geologic elements that define the SAU, such as limits of reservoir rock, geologic structures, depth, and seal lithologies. The only exceptions to this are SAUs that border the international, or Federal-State water boundary. In these cases, the international or Federal-State water boundary forms part of the SAU boundary.
Drilling-density cell maps show the number of wells that have been drilled into the SAU. Each 1-square-mile cell has a count for the number of unique well boreholes drilled into the SAU. For a given sedimentary basin, the National Assessment of Geologic Carbon Dioxide Storage Resources project identifies SAUs containing the potential for storage and sequestration of carbon dioxide. Proprietary well header data from IHS ENERDEQ through 2010 were queried to determine which wells were drilled into specific SAUs. The coordinates of wells are proprietary and cannot be released; however, counts of the number of wells per square mile are presented in the well drilling density data layer.

Tags: boundaries, c503501-wind-river-basin, carbon-dioxide, cenozoic, cloverly-formation, cloverly-formation-deep, co2-storage-resources, cretaceous, drilling-density-cell-map, earth-science, fort-union-and-lance-formations, frontier-sandstone, frontier-sandstone-deep, mesozoic, muddy-sandstone, muddy-sandstone-deep, national-assessment-of-geologic-carbon-dioxide-storage-resources, natural-resources, nugget-and-crow-mountain-sandstones, nugget-and-crow-mountain-sandstones-deep, paleocene, paleogene, paleozoic, pennsylvanian, permian, resource-assessment, storage-assessment-unit, sussex-and-shannon-sandstone-members, sussex-and-shannon-sandstone-members-deep, tensleep-sandstone, tensleep-sandstone-deep, tertiary, triassic, u-s-geological-survey, u-s-geological-survey-world-energy-region-5, united-states, us56, usgs, usgs-65ca89c2d34ef4b119cb334b, wind-river-basin, wyoming
Organization: Department of the Interior
Radiocarbon, field measurements, and ground-based magnetic transect data supporting the study of north-facing scarps along the Seattle fault zone in Washington

This data release includes multiple datasets obtained during the study of north-facing fault scarps along the Seattle fault zone. It includes geochronological data and field measurements from the Vasa Park trench (47.576618°, -122.119524°) near Bellevue, WA, and the Rose Hip trench (47.597°, -122.535°), Lyle Beach terrace site (47.597,-122.542), and Mill Pond site (47.597,-122.525) on south Bainbridge Island, WA. This data release also contains ground-based geomagnetic data of multiple transects across the Seattle fault zone on south Bainbridge Island and Point Glover.

Tags: biota, geomagnetic, radiocarbon, rose-hip-trench, seattle-fault-zone, usgs-65e790e7d34e5855ff4e6c0f, vasa-park-trench
Organization: Department of the Interior
Bridge-Site Study Data for Selected Highway Crossings in Mississippi, 2023

The U.S. Geological Survey (USGS) works closely with the Mississippi Department of Transportation (MDOT) to provide information to be used by the MDOT for design of highway-drainage structures. MDOT spends millions of dollars annually for highway construction.
Streamflow records, hydrologic analyses of basins, and hydraulic analyses of flooding potential at proposed highway crossings help the MDOT to make more informed decisions on the use of highway construction funding. Flood-frequency and hydraulic characteristics at highway crossings are determined from historical flood-elevation data recovered by the USGS, cross-section data, and correlations with data from nearby gaging stations. Additional streamflow data are collected for ungaged sites when substantial flooding occurs in an area of interest to MDOT. This information not only provides the basis for the design of highways and drainage structures, but is also used by local agencies and the public as a guide in flood-plain management. Data for twenty-eight sites in Mississippi that were studied during the State fiscal year 2023 (July 1, 2022, to June 30, 2023) are provided in this data release. The geospatial dataset includes one point feature class shapefile with associated FGDC-compliant metadata representing selected basin characteristics and estimates of eight flood-frequency peak streamflows with corresponding stages, or water-surface elevations for twenty-eight sites in Mississippi. Flood-frequency streamflows were determined using methods described by Anderson (2018). Water-surface elevations were determined using methods described by Rantz (1982a, 1982b). Also included are input files of the step-backwater model described by Shearman (1990).
Anderson, B.T., 2018, Flood frequency of rural streams in Mississippi, 2013: U.S. Geological Survey Scientific Investigations Report 2018–5148, 12 p., [Also available at https://doi.org/10.3133/sir20185148].
Rantz, S.E., and others, 1982a, Measurement and Computation of Streamflow--vol.1, Measurement of Stage and Discharge: U.S. Geological Survey Water-Supply Paper 2175, p.  1-284, [Also available at https://doi.org/10.3133/wsp2175].
Rantz, S.E., and others, 1982b, Measurement and Computation of Streamflow--vol.2, Computation of Discharge: U.S. Geological Survey Water-Supply Paper 2175, p. 285-631, [Also available at: https://doi.org/10.3133/wsp2175].
Shearman, J.O., 1990, User’s manual for WSPRO—A computer model for water-surface profile computations: U.S. Department of Transportation Publication No. FHWA–IP–89–027, Hydraulic Computer Programs HY–7, 177 p. [Also available at: https://water.usgs.gov/software/WSPRO/].

Tags: boundaries, covington-county, geoscientificinformation, harrison-county, holmes-county, imagerybasemapsearthcover, inlandwaters, kemper-county, location, madison-county, mississippi, oceans, perry-county, stone-county, sunflower-county, transportation, usgs-65ca7559d34ef4b119cb32cb, yazoo-county
Organization: Department of the Interior
Model archive summary for turbidity derived suspended-sediment concentration at USGS station 13337099 Clear Creek at Kooskia National Fish Hatchery, Idaho

A suspended sediment surrogate model was developed using turbidity and streamflow for Clear Creek at the Kooskia National Fish Hatchery – USGS site ID# 13337099. The model archive summary describes the methods and techniques used to develop the model.  Model limitations and range of conditions in which the model is valid are defined in the Model Archive Summary Report (13337099_MAS.Final.docx).

Tags: clear-creek, geomorphology, geoscientificinformation, hydrology, idaho-county, inlandwaters, kooskia-id, sedimentology, usgs-65c9421bd34ef4b119cb2f4c, water-quality
Organization: Department of the Interior
DS-777 Monthly Actual Evapotranspiration Rasters calculated using the Simplified-Surface-Energy-Balance (SSEB) Model from April 2000 to December 2009 for the High Plains Aquifer in Parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming

Estimates of evapotranspiration (ET) are an essential component for understanding 
the water budget of the High Plains aquifer. The amount of ET that occurs is a function 
of crop type, crop management practices, soil characteristics, and climate conditions. 
These raster ET data represent monthly actual ET of the High Plains aquifer from April 
2000 to December 2009.  These data were developed using the Simplified-Surface-Energy-
Balance (SSEB) model (Senay and others, 2007) and then processed using a Geographic 
Information System (GIS). The GIS software used to process these data was Environmental 
Systems Research Institute (ESRI, Inc.) ArcDesktop 9.3.1.

Tags: actual-evapotranspiration, aquifers, colorado, environment, evapotranspiration, geoscientificinformation, great-plains, ground-water, groundwater, high-plains, high-plains-aquifer, inlandwaters, kansas, nebraska, new-mexico, ogallala-aquifer, oklahoma, south-dakota, texas, usgs-65c91783-398f-4739-94c7-f0dcf1f4a830, wyoming
Organization: Department of the Interior
Repeat Lidar and Orthoimagery of Headwater Streams in the Breitenbush River Basin, Oregon: Lidar Intensity Rasters, September 2022

In June and September 2022, NV5 Geospatial collected aerial imagery and near-infrared (NIR) lidar from crewed aircraft over 34 square kilometers of headwater streams in the Breitenbush River Basin in northwestern Oregon. Repeat aerial imagery and NIR lidar data were collected over an area spanning from the northern slope of Triangulation Peak to the mainstem Breitenbush River near the confluence of the North Fork and South Fork Breitenbush rivers. Several headwater streams were covered in the survey, including Devils Creek, Hill Creek, Leone Creek, and Skunk Creek. This data release includes orthoimagery and lidar data, including point clouds, bare-earth elevation rasters, and intensity rasters, from both June and September 2022, and a tiling index. This documentation describes the lidar intensity rasters from the September data collection and is adapted from information provided by NV5 Geospatial to the U.S. Geological Survey.

Tags: aerial-photography, bare-earth, breitenbush-river, cascade-creek, dem, devils-creek, digital-elevation-model, elevation-data, hill-creek, hydrology, imagerybasemapsearthcover, inlandwaters, leone-creek, leone-lake, lidar, lidar-intensity, lidar-point-cloud, marion-county, mill-creek, minnie-boohoo-creek, oregon, orthoimagery, outerson-mountain, raster, remote-sensing, skunk-creek, surface-water-non-marine, triangulation-peak, usgs-65c6d12ad34ef4b119cb2aa2, willamette-national-forest
Organization: Department of the Interior
Repeat Lidar and Orthoimagery of Headwater Streams in the Breitenbush River Basin, Oregon: Lidar Point Cloud, September 2022

In June and September 2022, NV5 Geospatial collected aerial imagery and near-infrared (NIR) lidar from crewed aircraft over 34 square kilometers of headwater streams in the Breitenbush River Basin in northwestern Oregon. Repeat aerial imagery and NIR lidar data were collected over an area spanning from the northern slope of Triangulation Peak to the mainstem Breitenbush River near the confluence of the North Fork and South Fork Breitenbush rivers. Several headwater streams were covered in the survey, including Devils Creek, Hill Creek, Leone Creek, and Skunk Creek. This data release includes orthoimagery and lidar data, including point clouds, bare-earth elevation rasters, and intensity rasters, from both June and September 2022, and a tiling index. This documentation describes the lidar point cloud from the September data collection and is adapted from information provided by NV5 Geospatial to the U.S. Geological Survey.

Tags: aerial-photography, bare-earth, breitenbush-river, cascade-creek, dem, devils-creek, digital-elevation-model, elevation-data, hill-creek, hydrology, imagerybasemapsearthcover, inlandwaters, leone-creek, leone-lake, lidar, lidar-intensity, lidar-point-cloud, marion-county, mill-creek, minnie-boohoo-creek, oregon, orthoimagery, outerson-mountain, raster, remote-sensing, skunk-creek, surface-water-non-marine, triangulation-peak, usgs-65c6d113d34ef4b119cb2a9e, willamette-national-forest
Organization: Department of the Interior
Repeat Lidar and Orthoimagery of Headwater Streams in the Breitenbush River Basin, Oregon: Hydro-flattened Bare Earth Elevation Rasters, September 2022

In June and September 2022, NV5 Geospatial collected aerial imagery and near-infrared (NIR) lidar from crewed aircraft over 34 square kilometers of headwater streams in the Breitenbush River Basin in northwestern Oregon. Repeat aerial imagery and NIR lidar data were collected over an area spanning from the northern slope of Triangulation Peak to the mainstem Breitenbush River near the confluence of the North Fork and South Fork Breitenbush rivers. Several headwater streams were covered in the survey, including Devils Creek, Hill Creek, Leone Creek, and Skunk Creek. This data release includes orthoimagery and lidar data, including point clouds, bare-earth elevation rasters, and intensity rasters, from both June and September 2022, and a tiling index. This documentation describes the hydro-flattened bare earth elevation rasters from the September data collection and is adapted from information provided by NV5 Geospatial to the U.S. Geological Survey.

Tags: aerial-photography, bare-earth, breitenbush-river, cascade-creek, dem, devils-creek, digital-elevation-model, elevation-data, hill-creek, hydrology, imagerybasemapsearthcover, inlandwaters, leone-creek, leone-lake, lidar, lidar-intensity, lidar-point-cloud, marion-county, mill-creek, minnie-boohoo-creek, oregon, orthoimagery, outerson-mountain, raster, remote-sensing, skunk-creek, surface-water-non-marine, triangulation-peak, usgs-65c6d0fbd34ef4b119cb2a9c, willamette-national-forest
Organization: Department of the Interior
Repeat Lidar and Orthoimagery of Headwater Streams in the Breitenbush River Basin, Oregon: Orthoimagery, September 2022

In June and September 2022, NV5 Geospatial collected aerial imagery and near-infrared (NIR) lidar from crewed aircraft over 34 square kilometers of headwater streams in the Breitenbush River Basin in northwestern Oregon. Repeat aerial imagery and NIR lidar data were collected over an area spanning from the northern slope of Triangulation Peak to the mainstem Breitenbush River near the confluence of the North Fork and South Fork Breitenbush rivers. Several headwater streams were covered in the survey, including Devils Creek, Hill Creek, Leone Creek, and Skunk Creek. This data release includes orthoimagery and lidar data, including point clouds, bare-earth elevation rasters, and intensity rasters, from both June and September 2022, and a tiling index. This documentation describes the orthoimagery from the September data collection and is adapted from information provided by NV5 Geospatial to the U.S. Geological Survey.

Tags: aerial-photography, bare-earth, breitenbush-river, cascade-creek, dem, devils-creek, digital-elevation-model, elevation-data, hill-creek, hydrology, imagerybasemapsearthcover, inlandwaters, leone-creek, leone-lake, lidar, lidar-intensity, lidar-point-cloud, marion-county, mill-creek, minnie-boohoo-creek, oregon, orthoimagery, outerson-mountain, raster, remote-sensing, skunk-creek, surface-water-non-marine, triangulation-peak, usgs-65c6d0e8d34ef4b119cb2a99, willamette-national-forest
Organization: Department of the Interior