AndreaBozzo/ceres-open-data-index huggingface dataset:
Assessment of Non-Occupational 1,4-Dioxane Exposure Pathways from Drinking Water and Product Use

S1. Additional details on model input data, parameter estimation, and model development (PDF)
S2. Model input data and supplemental results (XLSX)
S3. Model parameters assembled for the study (XLSX)
Link: The portable workflow developed for this work. 

This dataset is associated with the following publication:
Dawson, D., H. Fisher, A. Noble, Q. Meng, A. Doherty, Y. Sakano, D. Vallero, R. Tornero-Velez, and E. Cohen-Hubal. Assessment of Non-Occupational 1,4-Dioxane Exposure Pathways from Drinking Water and Product Use.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 56(8): 5266-5275, (2022).

Tags: consumer, drinking-water, exposure, simulation
Organization: U.S. Environmental Protection Agency
Fire regimes of the conterminous United States

Fire regime information on 256 vegetation communities in the conterminous United States. This information is taken from the US Forest Service's LANDFIRE Rapid Assessment Vegetation Models, which were developed by local experts using available literature, local data, and/or expert opinion. This table summarizes fire regime characteristics for each plant community listed. 

This dataset is associated with the following publication:
Jager, H.I., J.W.  Long, R. Malison, B.P. Murphy, A. Rust, L.G.M. Silva, R. Sollmann, Z.L. Steel, M.D. Bowen, J. Dunham, J. Ebersole, and R. Flitcroft. Resilience of Terrestrial and Aquatic Fauna to Historical and Future Wildfire Regimes in Western North American Forests.   Ecology and Evolution. Wiley-Blackwell Publishing, Hoboken, NJ, USA, 11(18): 12259-12284, (2021).

Tags: recovery, refugia, resilience, vegetation, water-quality, wildfire
Organization: U.S. Environmental Protection Agency
Sediment Resuspension Data

The full report on sediment resuspension in drinking water storage tanks and a link to an animation of results. 

This dataset is associated with the following publication:
Ho, C., R. Murray , J. Christian, E. Ching, J. Slavin, J. Ortega, and L. Rossman. Sediment Resuspension and Transport in Water Distribution Storage Tanks.   JOURNAL OF THE AMERICAN WATER WORKS ASSOCIATION. American Water Works Association, Denver, CO, USA, 108(6): ., (2016).

Tags: cfd, drinking-water, homeland-security, modeling, sediments, storage-tanks, water-distribution, water-quality, water-security
Organization: U.S. Environmental Protection Agency
Holistic Sustainability Assessment of Riparian Buffer Designs: Evaluation of Alternative Buffer Policy Scenarios Integrating Stream Water Quality and Costs

In this study, we developed a methodology for evaluating holistic sustainability of alternative riparian buffer zone (RBZ) designs or decision management objectives. We demonstrated the methodology separately in three 12-digit Hydrologic Unit Code watersheds in the southeastern USA. We adapted the RBZ - hydrologic and water quality system assessment data of dissolved oxygen, total phosphorus, total nitrogen, total suspended solids - sediment, and biochemical oxygen demand, recently published by U.S. EPA, as environmental indicators. We calculated 20-year net present value costs as economic indicators using the costs data published by the Natural Resources Conservation Service. The holistic sustainability assessments using data envelopment analysis revealed urban RBZ to be the most sustainable (with holistic sustainability score of 1.00) across all watersheds. 

This dataset is associated with the following publication:
Ghimire, S., A. Nayak, J. Corona, R. Parmar, R. Srinivasan, K. Mendoza, and J. Johnston. Holistic Sustainability Assessment of Riparian Buffer Designs: Evaluation of Alternative Buffer Policy Scenarios Integrating Stream Water Quality and Costs.   Sustainability. MDPI, Basel,  SWITZERLAND, 14(19): 12278, (2022).

Tags: data-envelopment-analysis, net-present-value-cost, riparian-buffer-zone, sustainability, watershed
Organization: U.S. Environmental Protection Agency
Evaluating the utility of the Threshold of Toxicological Concern (TTC) and its exclusions in the biocompatibility assessment of extractable chemical substances from medical devices

Dataset for "Evaluating the utility of the Threshold of Toxicological Concern (TTC) and its exclusions in the biocompatibility assessment of extractable chemical substances from medical devices". 

This dataset is associated with the following publication:
Patlewicz, G., M. Nelms, and D. Rua. Evaluating the utility of the Threshold of Toxicological Concern (TTC) and its exclusions in the biocompatibility assessment of extractable substances from medical devices.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 24: 100246, (2022).

Tags: kroes-workflow, medical-devices, toxtree, ttc
Organization: U.S. Environmental Protection Agency
Operational Linescan System (OLS) - Derived Products (including posters and slides)

Visible and thermal infrared imagery from DMSP Operational Linescan System (OLS) instruments are used to monitor the global distribution of clouds and cloud top temperatures twice each day. The archive data set consists of low resolution global and high resolution regional, imagery recorded along a 3,000 km scan, satellite ephemeris and solar and lunar information.

Tags: atmosphere, clouds, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, earth science, geodetics/gravity, icsu-wds, international council for science - world data system, national centers for environmental information, national geophysical data center, nesdis, noaa, satellite orbits, solid earth, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NHIS Interactive Quarterly Early Release Estimates

Interactive Quarterly Early Release Estimates provide health statistics based on data from the 2019-2021 National Health Interview Survey (NHIS) for selected health topics for adults aged 18 years and over. All estimates are unadjusted percentages based on preliminary data files and are released prior to final data editing and final weighting to provide access to the most recent information from the NHIS. Estimates presented here are based on quarterly data. Estimates based on half-year data, with groupings by demographic characteristics, are available in the Interactive Biannual Early Release Estimates. Estimates based on the 1997–2018 NHIS can be found in Previous Early Release Reports on Key Health Indicators.

Tags: early-release, key-health-indicators, nhis
Organization: U.S. Department of Health & Human Services
Changes in ozone chemical sensitivity in the U.S. from 2007 to 2016

We used data from EPA's AQS database and from the Ozone NAAQS review documentation. 

This dataset is associated with the following publication:
Koplitz, S., H. Simon, B. Henderson, J. Liljegren, G. Tonnesen, A. Whitehill, and B. Wells. Changes in ozone chemical sensitivity in the U.S. from 2007 to 2016.   JOURNAL OF THE AMERICAN CHEMICAL SOCIETY. American Chemical Society, Washington, DC, USA, 2(3): 206-222, (2021).

Tags: air-quality, chemical-sensitivity, naaqs, ozone
Organization: U.S. Environmental Protection Agency
EK80 Water Column Sonar Data Collected During EN647-deployment-2a

Two acoustic surveys were conducted as part of a cruise also looking at benthic habitat near the Baltimore Canyon methane seeps.

Tags: acoustic scattering, acoustic sounders, aquatic ecosystems, aquatic sciences, bathymetry, bathymetry/seafloor topography, benthic, biosphere, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, earth science, ecosystems, fisheries, in situ/laboratory instruments, marine ecosystems, national centers for environmental information, national geophysical data center, nesdis, noaa, north atlantic ocean, ocean acoustics, oceans, pelagic, profilers/sounders, seafloor topography, u.s. department of commerce, vertical location, water column, water column mapping system, wcms
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Dataset of Sorption and migration of organophosphate flame retardants between sources and settled dust

The dataset contains OPFR sorption and migration concentrations on settled dust. It was generated by EPA and published in peer reviewed journal. 

This dataset is associated with the following publication:
Liu, X. Investigation on the direct transfer of SVOCs from source to settled dust: analytical model and key parameter determination.   ACS Agricultural Science & Technology. American Chemical Society, Washington, DC, USA, 56(9): 5489-5496, (2022).

Tags: dust-air-partition, dust-source-partition, indoor-dust, opfrs, small-chamber, source-dust-mass-transfer
Organization: U.S. Environmental Protection Agency
Swedish Lakes Dataset

This dataset consists of water quality and phytoplankton community structure data collected at 85 Swedish Lakes. 

This dataset is associated with the following publication:
Eason, T., A. Garmestani, and D. Angeler. Spatiotemporal variability in Swedish lake ecosystems.   PLOS ONE. Public Library of Science, San Francisco, CA, USA, 17(3): e0265571, (2022).

Tags: phytoplankton, sweden, water-quality
Organization: U.S. Environmental Protection Agency
Wikipedia on the CompTox Chemicals Dashboard: Connecting Resources to Enrich Public Chemical Data

- Spreadsheet summaries of identifier availability and correctness in Wikipedia
- Tabular summaries of identifier availability and correctness in Wikipedia; summary statistics of drugboxes and chemboxes
- Investigation of John W. Huffman cannabinoid dataset
- Summary of Wikipedia pages linked to DSSTox records
- Complete identifier data scraped from Wikipedia Chembox and Drugbox pages. 

This dataset is associated with the following publication:
Sinclair, G., I. Thillainadarajah, B. Meyer, V. Samano, S. Sivasupramaniam, L. Adams, E. Willighagen, A. Richard, M. Walker, and A. Williams. Wikipedia on the CompTox Chemicals Dashboard: Connecting Resources to Enrich Public Chemical Data.   Journal of Chemical Information and Modeling. American Chemical Society, Washington, DC, USA, 62(20): 4888-4905, (2022).

Tags: cannabinoids, cheminformatics, chemistry, comptox-chemical-dashboard, curation, open-data, wikipedia
Organization: U.S. Environmental Protection Agency
Using a vegetation index to assess wetland condition in the Prairie Pothole Region of North America

USGS-Generated Data that will be uploaded to and available in Science Base (https://www.sciencebase.gov/catalog/). This dataset is not publicly accessible because: USGS-Generated Data that will be uploaded to and available in Science Base (https://www.sciencebase.gov/catalog/). It can be accessed through the following means: USGS-Generated Data that will be uploaded to and available in ScienceBase (https://www.sciencebase.gov/catalog/). Format: USGS-Generated Data that will be uploaded to and available in Science Base (https://www.sciencebase.gov/catalog/). 

This dataset is associated with the following publication:
Tangen, B., S. Bansal, S. Jones, C.S. Dixon, A. Nahlik, E.S. DeKeyser, C.L.M. Hargiss, and D.M. Mushet. Using a vegetation index to assess wetland condition in the Prairie Pothole Region of North America.   Frontiers in Environmental Science. Frontiers, Lausanne,  SWITZERLAND,  10:889170, (2022).

Tags: prairie-pothole, restoration, vegetation-multimetric-d, wetlands
Organization: U.S. Environmental Protection Agency
EM302 Water Column Sonar Data Collected During EQT201114

EM302 data collected during transit.

Tags: acoustic scattering, acoustic sounders, aquatic ecosystems, aquatic sciences, bathymetry, bathymetry/seafloor topography, benthic, biosphere, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, earth science, ecosystems, fisheries, in situ/laboratory instruments, indian ocean, marine ecosystems, national centers for environmental information, national geophysical data center, nesdis, noaa, ocean acoustics, oceans, pelagic, profilers/sounders, seafloor topography, u.s. department of commerce, vertical location, water column, water column mapping system, wcms
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
TIGER/Line Shapefile, 2021, County, Van Buren County, MI, All Roads

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB).  The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation.

The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S".  This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, stairways, and winter trails.


Tags: 26, 26159, address range, county or equivalent entity, linear feature, mi, michigan, road feature, roads, state or equivalent entity, street centerline, u.s., united states, van buren
Organization: U.S. Census Bureau, Department of Commerce
TIGER/Line Shapefile, 2021, County, Georgetown County, SC, All Roads

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB).  The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation.

The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S".  This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, stairways, and winter trails.


Tags: 45, 45043, address range, county or equivalent entity, georgetown, linear feature, road feature, roads, sc, south carolina, state or equivalent entity, street centerline, u.s., united states
Organization: U.S. Census Bureau, Department of Commerce
TIGER/Line Shapefile, 2016,  state, Alaska, Current Alaska Native Regional Corporation (ANRC) State-based

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB).  The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation.

 
Alaska Native Regional Corporations (ANRCs) were created pursuant to the Alaska Native Claims Settlement Act (ANCSA), which is federal legislation (Pub. L. 92-203, 85 Stat. 688 (1971); 43 U.S.C. 1602 et seq. (2000)) enacted in 1971, as a 'Regional Corporation' and organized 

Tags: 02, ak, alaska, alaska native area, alaska native regional corporation, ana, anrc, polygon, state or equivalent entity, u.s., united states
Organization: U.S. Census Bureau, Department of Commerce
Series Information for the 2019 Cartographic Boundary Shapefile,Current Elementary School District, 1:500,000

The 2019 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.
                
                School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from state officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to states and school districts.
                
                The cartographic boundary files include separate files for elementary, secondary and unified school districts. The generalized school district boundaries in this file are based on those in effect for the 2018-2019 school year, i.e., in operation as of January 1, 2019. This is avialiable at the 1:500,000 scale

Tags: 2019, cartographic boundary, elementary school district, generalized, school district, shapefile, u.s, united sates
Organization: U.S. Census Bureau, Department of Commerce
TIGER/Line Shapefile, 2019, Series Information for the Address Range-Feature County-based

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's
                Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB).  The MTDB represents a seamless national file with no
                overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire
                nation.
                
                The Address Ranges Feature Shapefile (ADDRFEAT.dbf) contains the geospatial edge geometry and attributes of all unsuppressed address ranges for a county or county
                equivalent area. The term "address range" refers to the collection of all possible structure numbers from the first structure number to the last structure number and
                all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded.     Single-address address ranges have been
                suppressed to maintain the confidentiality of the addresses they describe.  Multiple coincident address range feature edge records are represented in the shapefile
                if more than one left or right address ranges are associated to the edge. The ADDRFEAT shapefile contains a record for each address range to street name combination.
                Address range associated to more than one street name are also represented by multiple coincident address range feature edge records.   Note that the ADDRFEAT
                shapefile includes all unsuppressed address ranges compared to the All Lines Shapefile (EDGES.shp) which only includes the most inclusive address range associated
                with each side of a street edge.  The TIGER/Line shapefile contain potential address ranges, not individual addresses.  The address ranges in the TIGER/Line Files
                are potential ranges that include the full range of possible structure numbers even though the actual structures may not exist.

Tags: 5-digit zip code, county fips code, county gnis code, from house number, permanent edge id, side indicator flag, state fips code, state gnis code, to house number, u.s, united states, zip +4 code
Organization: U.S. Census Bureau, Department of Commerce
TIGER/Line Shapefile, 2012, Series Information File for the Current Block State-based Shapefile

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the
               U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents
               a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data
               set, or they can be combined to cover the entire nation. Census Blocks are statistical areas bounded on all sides by visible features, such as streets,
               roads, streams, and railroad tracks, and/or by non-visible boundaries such as city, town, township, and county limits, and short line-of-sight extensions
               of streets and roads. Census blocks are relatively small in area; for example, a block in a city bounded by streets. However, census blocks in remote
               areas are often large and irregular and may even be many square miles in area. A common misunderstanding is that data users think census blocks are used
               geographically to build all other census geographic areas, rather all other census geographic areas are updated and then used as the primary constraints,
               along with roads and water features, to delineate the tabulation blocks. As a result, all 2010 Census blocks nest within every other 2010 Census
               geographic area, so that Census Bureau statistical data can be tabulated at the block level and aggregated up to the appropriate geographic areas. Census
               blocks cover all territory in the United States, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana
               Islands, and the U.S. Virgin Islands). Blocks are the smallest geographic areas for which the Census Bureau publishes data from the decennial census. A
               block may consist of one or more faces.

Tags: block, census block, polygon, state or equivalent entity, u.s.
Organization: U.S. Census Bureau, Department of Commerce
TIGER/Line Shapefile, 2021, County, Cherokee County, NC, All Roads

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB).  The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation.

The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S".  This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, stairways, and winter trails.


Tags: 37, 37039, address range, cherokee, county or equivalent entity, linear feature, nc, north carolina, road feature, roads, state or equivalent entity, street centerline, u.s., united states
Organization: U.S. Census Bureau, Department of Commerce