AndreaBozzo/ceres-open-data-index huggingface dataset:
Derivation of new Threshold of Toxicological Concern values for exposure via inhalation for environmentally-relevant chemicals

An effort was made to derive new inhalation TTC values using the EPA’s Toxicity Values database, ToxValDB. A total of 4703 substances captured in ToxValDB were assigned into their respective TTC categories using the Kroes module within the Toxtree software tool and custom profilers developed in Nelms et al (2019) and Patlewicz et al (2018). For the substances assigned into the 3 Cramer classes, the 5th percentiles were calculated from the empirical cumulative distributions of No observed (adverse) effect level (concentration) values. The 5th percentiles were converted to their respective TTC values and compared with published values reported by Escher et al (2010) and Carthew et al (2009). The TTC values derived from ToxValDB were orders of magnitude more conservative, further Cramer classification was not found to be effective at discriminating potencies. 

This dataset is associated with the following publication:
Nelms, M., and G. Patlewicz. Derivation of New Threshold of Toxicological Concern Values for Exposure via Inhalation for Environmentally-Relevant Chemicals.   Frontiers in Toxicology. Frontiers, Lausanne,  SWITZERLAND, 2: 580347, (2020).

Tags: chemical-safety-research, cramer-classes, curated-data, inhalation, models, pharmacokinetics, risk-based-prioritization, threshold-of-toxicological-concern-ttc
Organization: U.S. Environmental Protection Agency
Raw data of Legionella pneumophila determined by culture and Legiolert methods

This Excel file contains all the raw data of Legionella pneumophila determined by both culture and Legiolert methods. Datasheets were prepared separately for each figure and table. 

This dataset is associated with the following publication:
Boczek, L., M. Tang, C. Formal, D. Lytle, and H. Ryu. Comparison of two culture methods for the enumeration of Legionella pneumophila from potable water samples.   JOURNAL OF WATER AND HEALTH. IWA Publishing, London,  UK, 19(3): 468-477, (2021).

Tags: bcye-agar, drinking-water, legiolert, legionella-pneumophila, simulated-home-plumbing-system
Organization: U.S. Environmental Protection Agency
Greywater Reuse - Microbial taxa

This provides taxonomic data (as relative abundances) derived from metagenomic sequencing of greywater samples. 

This dataset is associated with the following publication:
Nagarkar, M., S. Keely, N. Brinkman, and J. Garland. Human- and Infrastructure-associated Bacteria in Greywater.   JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 131(1): 15118, (2021).

Tags: greywater, metagenomics, microbiome
Organization: U.S. Environmental Protection Agency
Designing QSARs for Parameters of High-Throughput Toxicokinetic Models Using Open-Source Descriptors

Additional details used in the methods are found in the MS Word file “S1_Dawson et al._Supporting_Information.docx”. The MS Excel file “S2_Dawson et al. Supporting Information.xlsx” contains datasets and graphical results.  The Excel file sheets are as follows: S2.1 illustrates Clint hepatic flow calculations, S2.2 - 5 include training and test data sets; S2.6-7 include figures illustrating Clint  model selection criteria and assemblages of model descriptors; S2.8 includes confusion matrices for evaluation Clint model,  S2.9-10 include figures illustrating fup model selection criteria and assemblages of model descriptors (with ranges); S2.11 includes tables of model assessments of the Clint test set, S2.12 includes information relevant to BER calculations for the ToxCast test set, S2.13 includes information relevant to BER calculations for Tox21 chemicals, and S2.14 provides information on different transformations for fup. 

This dataset is associated with the following publication:
Dawson, D., B. Ingle, K. Phillips, J. Nichols, J. Wambaugh, and R. Tornero-Velez. Designing QSARs for Parameters of High-Throughput Toxicokinetic Models Using Open-Source Descriptors.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 55(9): 6505, (6517).

Tags: domain-of-applicability, environmental-toxicology, machine-learning, metabolic-clearance, plasma-protein-binding, quantitative-structure-activity-relationship-qsar
Organization: U.S. Environmental Protection Agency
Radar - 449MHz - Valley City, ND - Raw Data

**Overview**

Raw data captured from the NOAA ESRL website:
https://www.esrl.noaa.gov/psd/data/obs/data/
Hourly Radar Winds (WwWind) and Temperature (WwTemp)

Tags: 00, 449mhz, a2e, atmosphere-to-electrons, eere, radar, raw-data, valley-city-nd, weto, wfip1, wind, wind-forecast-improvement-project-1, z08
Organization: Department of Energy
Room temperature synthesis of biodiesel using sulfonated graphitic carbon nitride

Sulfonation of graphitic carbon nitride (g-CN) affords a polar and strongly acidic catalyst, Sg-CN, which displays unprecedented reactivity and selectivity in biodiesel synthesis and esterification reactions at room temperature. 

This dataset is associated with the following publication:
Varma, R., R.B.N. Baig, S. Verma, and M. Nadagouda. Room temperature synthesis of biodiesel using sulfonated graphitic carbon nitride.   NATURE. Macmillan Publishers Ltd., London,  UK,  1-6, (2016).

Tags: biodiesel, room-temperature, sulfonated-graphitic-carbon-nitride
Organization: U.S. Environmental Protection Agency
Quantifying wintertime O3 and NOx formation with relevance vector machines

Underlying data associated with figures in publication. Portions of this dataset are inaccessible because: Data is now available for public access. They can be accessed through the following means: Data available through Data.gov and EDG. Format: Excel spreadsheet. 

This dataset is associated with the following publication:
Olson, D., T. Riedel, J. Offenberg, M. Lewandowski, R. Long, and T. Kleindienst. Quantifying wintertime O3 and NOx formation with relevance vector machines.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 259: 118538, (2021).

Tags: air-quality, fine-particulate-matter-pm2-5, machine-learning, ozone, secondary-organic-aerosol
Organization: U.S. Environmental Protection Agency
Evaluation of Existing QSAR Models and Structural Alerts and Development of New Ensemble Models for Genotoxicity Using a Newly Compiled Experimental Dataset

In this study, a major effort was undertaken to compile a large genotoxicity dataset (54,805 records for 9299 substances) from several public sources (e.g., TOXNET, COSMOS, eChemPortal). The names and outcomes of the different assays were harmonized, and assays were annotated by type: gene mutation in Salmonella bacteria (Ames assay) and chromosome mutation (clastogenicity) in vitro or in vivo (chromosome aberration, micronucleus, and mouse lymphoma Tk+/- assays). This dataset was then evaluated to assess genotoxic potential using a categorization scheme, whereby a substance was considered genotoxic if it was positive in at least one Ames or clastogen study. The categorization dataset comprised 8442 chemicals, of which 2728 chemicals were genotoxic, 5585 were not and 129 were inconclusive. QSAR models (TEST and VEGA) and the OECD Toolbox structural alerts/profilers (e.g., OASIS DNA alerts for Ames and chromosomal aberrations) were used to make in silico predictions of genotoxicity potential. The performance of the individual QSAR tools and structural alerts resulted in balanced accuracies of 57-73%. A Naïve Bayes consensus model was developed using combinations of QSAR models and structural alert predictions. The ‘best’ consensus model selected had a balanced accuracy of 81.2%, a sensitivity of 87.24% and a specificity of 75.20%. This in silico scheme offers promise as a first step in ranking thousands of substances as part of a prioritization approach for genotoxicity. 

This dataset is associated with the following publication:
Pradeep, P., R. Judson, D. DeMarini, N. Keshava, T. Martin, J. Dean, C. Gibbons, A. Simha, S. Warren, M. Gwinn, and G. Patlewicz. An Evaluation of Existing QSAR Models and Structural Alerts and Development of New Ensemble Models for Genotoxicity Using a Newly Compiled Experimental Dataset.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 18: 100167, (2021).

Tags: ames, chemical-safety-research, clastogenicity, curated-data, genotoxicity, models, pharmacokinetics, qsar, risk-based-prioritization, structural-alert, tsca
Organization: U.S. Environmental Protection Agency
Data for "Incorporation of Remote PM2.5 Concentrations into the Downscaler Model for Spatially Fused Air Quality Surfaces"

This dataset includes PM2.5 monitoring data that was the input to the Downscaler model with and without the IMPROVE data included.  Also included are the daily output from the CMAQ model and Downscaler model with and without the IMPROVE input dataset.  For the geographic coordinates of the model output, a file containing the grid-centroid latitude and longitude is also included. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.

Tags: air-quality, downscaler, fused-surface, improve, pm2-5
Organization: U.S. Environmental Protection Agency
King County Official Records Search

Most documents recorded on or after August 1, 1991 are available online. Documents that were recorded prior to August 1, 1991 are on microfilm and are only available from the King County Archives. If you do not find a marriage license on our site, you may want to check <a href="https://www.digitalarchives.wa.gov/">Washington State Digital Archives</a>.

Search results are based on the indexing standards used at the time the document was recorded and indexing standards change over time. If you do not find a document on your first try, please adjust your search criteria. Results load one page at a time to ensure the fastest response time, so any sorting or filtering you do on one page of results need to be re-applied to each page of results you view.

Review our frequently asked questions for a list of document types that are not viewable online.

Organization: King County, Washington
Health Disparities Dashboard

Racial/ethnic health disparities are higher rates of serious health conditions or deaths that affect communities of color. These disparities can result in shorter lifespans and lower quality of life, are rooted in inequities in the opportunities and resources needed for good health, such as education, employment, safe and healthy neighborhoods, and access to health care. These inequities are often the result of current and historical institutionalized racism or explicit racial bias.

Organization: King County, Washington
Greenhouse gas emissions from an arid-zone reservoir and their environmental policy significance: results from existing global models and an exploratory dataset

This data release contains model inputs used to estimate surface water greenhouse gas fluxes from two large arid reservoirs, Lake Powell and Lake Mead. The release also contains empirical, spatially explicit water quality and greenhouse gas data from a single field survey conducted in Lake Powell in July of 2017. Finally, this release contains surface area estimates of shallow (< 15m) tributary regions of Lake Powell under different water level scenarios. 

This dataset is associated with the following publication:
Waldo, S., B. Deemer, L. Bair, and J. Beaulieu. Greenhouse gas emissions from an arid-zone reservoir and their environmental policy significance: Results from existing global models and an exploratory dataset.   Environmental Science & Policy. Elsevier Science Ltd, New York, NY, USA, 120: 53-62, (2021).

Tags: geomorphology, lake-mead, lake-powell, reservoir
Organization: U.S. Environmental Protection Agency
Datasets associated with "Mining of Consumer Product and Purchasing Data to Identify Potential Chemical Co-exposures"

Background: Chemicals in consumer products are a major contributor to human chemical co-exposures. Consumers purchase and use a wide variety of products containing potentially thousands of chemicals. There is a need to identify potential real-world chemical co-exposures in order to prioritize in vitro toxicity screening. However, due to the vast number of potential chemical combinations, this has been a major challenge.

Objectives: We aim to develop and implement a data-driven procedure for identifying prevalent chemical combinations to which humans are exposed through purchase and use of consumer products.

Methods: We applied frequent itemset mining on an integrated dataset linking consumer product chemical ingredient data with product purchasing data from sixty thousand households to identify chemical combinations resulting from co-use of consumer products.

Results: We identified co-occurrence patterns of chemicals over all households as well as those specific to demographic groups based on race/ethnicity, income, education, and family composition. We also identified chemicals with the highest potential for aggregate exposure by identifying chemicals occurring in multiple products used by the same household. Lastly, a case study of chemicals active in estrogen and androgen receptor in silico models revealed priority chemical combinations co-targeting receptors involved in important biological signaling pathways.

Discussion: Integration and comprehensive analysis of household purchasing data and product-chemical information provided a means to assess human near-field exposure and inform selection of chemical combinations for high-throughput screening in in vitro assays. 

This dataset is associated with the following publication:
Stanfield, Z., C. Addington, K. Dionisio, D. Lyons, R. Tornero-Velez, K. Phillips, T. Buckley, and K. Isaacs. Mining of consumer product and purchasing data to identify potential chemical co-exposures..   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 129(6): N/A, (2021).

Tags: aggregate-exposure, chemical-exposure, consumer-products, expocast, frequent-itemset-mining-fim
Organization: U.S. Environmental Protection Agency
Simulations of Dispersion through an Irregular Urban Building Array

The data files consist of tracer concentrations and velocity measurements gathered from EPA's Meteorological Wind Tunnel Laboratory. 

This dataset is associated with the following publication:
Pirhalla, M., D. Heist, S. Perry, W. Tang, and L. Brouwer. Simulations of Dispersion through an Irregular Urban Building Array.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 258: 118500, (2021).

Tags: eles-models, emergency-response, gaussian-plume-models, urban-dispersion, wind-tunnel
Organization: U.S. Environmental Protection Agency
Stream water isotope data from the Snake River Basin 2013-2019.

The dataset includes water isotope values from samples spatially distributed across the Snake River basin collected between 2013-2015, and time series data collected from the Snake River at King Hill.  The timeseries data were collected at the USGS 13154500 gage at approximately monthly intervals from 2013 through water year 2019.   Site descriptions and watershed metrics are also included for the spatially distributed collection sites.  Water Isotope QA data has also been included. 

This dataset is associated with the following publication:
Windler, G., J.R. Brooks, H.M. Johnson, R. Comeleo, R. Coulombe, and G. Bowen. Climate Impacts on Source Contributions and Evaporation to Flow in the Snake River Basin Using Surface Water Isoscapes (δ2H and δ18O).   WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 57(7): e2020WR029157, (2021).

Tags: climate-change, geology, river-flow, stable-isotopes, water-resources, water-supply
Organization: U.S. Environmental Protection Agency
Superfund cleanups and children’s lead exposure in six states

Data for the study include restricted access and non-restricted access files. Restricted access files include individual children's blood lead data from six states, property assessment data from Zillow, Inc., and Census tract characteristics processed by GeoLytics. Information on how to obtain restricted access files is given in the supporting document "data sources for ScienceHub.docx". Non-restricted access files available here include contaminated site locations and characteristics (Superfund, brownfields, and RCRA sites), ambient air lead concentrations, state-month average temperatures, and vehicle miles traveled in 1980. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.

Tags: blood-lead, contaminated-site, lead, lead-contaminated-soil, quasi-experimental-analysis, superfund
Organization: U.S. Environmental Protection Agency
Chromatographic_Retention_Time_Prediction_Models_TALANTA_Data

This paper compares the relative predictive ability and applicability to NTA workflows of three RT prediction models: (1) a logP (octanol-water partition coefficient)-based model using EPI SuiteTM logP predictions; (2) a commercially available ACD/ChromGenius model; and, (3) a newly developed Quantitative Structure Retention Relationship model called OPERA-RT. 

This dataset is associated with the following publication:
McEachran, A., K. Mansouri, S. Newton, B. Beverly, J. Sobus, and A. Williams. (TALANTA) A comparison of three liquid chromatography (LC) retention time prediction models.   TALANTA. Elsevier Science Ltd, New York, NY, USA, 182: 371-379, (2018).

Tags: chemistry-dashboard, dashboards, dsstox, high-performance-liquid-chromatography-hplc, non-targeted-analysis-nta, quantitative-structure-retention-relationship-qsrr, retention-timert
Organization: U.S. Environmental Protection Agency
Results from application of Approximate Probabilistic Analysis to incidence of nasal lesions from acrolein exposure

For estimating the distribution of the target human dose for magnitude of effect M and human incidence I (abbreviated “HDMI”) in the Approximate Probabilistic Analysis (APROBA) software tool, using the default assumptions in APROBA (primary analysis) and specific case adjustments (sensitivity analyses): 
1)	Confidence limits of the HDMI components that were input in APROBA for each analysis, and the confidence limits for the estimated HDMI distributions that were output, along with some supplementary calculations on the outputs. Also included for each analysis are the percents contribution of the HDMI components to HDMI uncertainty. 
2)	Results of Bayesian model averaging dose-response analysis of incidence of nasal lesions in the lateral wall at level II, used for the sensitivity analysis in which dose-response modeling was used to determine the point of departure. 
3)	Parameters of the HDMI distribution for varying values of human incidence I. 

This dataset is associated with the following publication:
Blessinger, T., A. Davis, W. Chiu, J. Stanek, G. Woodall, J. Gift, K. Thayer, and D. Bussard. Application of a Unified Probabilistic Framework to the Dose-Response Assessment of Acrolein.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 143: 105953, (2020).

Tags: approximate-probabilistic-analysis, dose-response, quantitative-uncertainty-analysis, reference-concentration
Organization: U.S. Environmental Protection Agency
Final _ Data supporting article titled AGRICULTURAL BEST MANAGEMENT PRACTICE SENSITIVITY TO CHANGING AIR TEMPERATURE AND PRECIPITATION

Final version _ File (spreadsheet) contains a summary of data presented in the journal article titled AGRICULTURAL BEST MANAGEMENT PRACTICE SENSITIVITY TO CHANGING AIR TEMPERATURE AND PRECIPITATION. 

This dataset is associated with the following publication:
Schmidt, M., S. Sarkar, J. Butcher, T. Johnson, and S. Julius. AGRICULTURAL BEST MANAGEMENT PRACTICE SENSITIVITY TO CHANGING AIR TEMPERATURE AND PRECIPITATION.   Transactions of the ASABE. AMERICAN SOCIETY OF AGRICULTURAL AND BIOLOGICAL ENGINEERS, ST. JOSEPH, MI, USA, 62(4): 1021-1033, (2019).

Tags: bmp, crop-agriculture, performance
Organization: U.S. Environmental Protection Agency
A Roadmap to the Structure-Related Metabolism Pathways of Per- and Polyfluoroalkyl Substances in Early Life Stages of Zebrafish (Danio rerio)

Our findings identified five structural categories of PFAS prone to metabolism. The metabolism pathways of PFAS are highly related to their structures and significantly impact their bioaccumulations and toxicities. We also verified CES1 as an enzyme capable of hydrolyzing diverse PFAS, with strong substrate preferences towards perfluoroalkyl amides. This dataset is not publicly accessible because: Data generated by external academic lab with chemicals provided by EPA under an MTA. EPA’s contribution was providing the PFAS library. It can be accessed through the following means: Contact the corresponding author Hui Peng, 
Mailing address: Department of Chemistry, University of Toronto, Toronto, Ontario, M5S3H6, Canada.
E-mail address: hui.peng@utoronto.ca. Format: Not available. 

This dataset is associated with the following publication:
Han, J., W. Gu, H. Barrett, D. Yang, S. Tang, J. Sun, J. Liu, H. Krause, K. Houck, and H. Peng. A Roadmap to the Structure-Related Metabolism Pathways of Per- and Polyfluoroalkyl Substances in the Early Life Stages of Zebrafish (Danio rerio).   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 129(7): 077004, (2021).

Tags: data-independent-acquisition, fluorotelomer-alcohol, nontargeted-analysis, perfluorinated-alkyl-substances, toxicity, zebrafish
Organization: U.S. Environmental Protection Agency
Radar - 915MHz - Ainsworth, NE - Raw Data

**Overview**

Raw data captured from the NOAA ESRL website:
https://www.esrl.noaa.gov/psd/data/obs/data/
Hourly Radar Winds (WwWind) and Temperature (WwTemp)

Tags: 00, 915mhz, a2e, ainsworth-ne, atmosphere-to-electrons, eere, radar, raw-data, weto, wfip1, wind, wind-forecast-improvement-project-1, z01
Organization: Department of Energy
Transportation - Travel Time to Work

The Arlington Profile combines countywide data sources and provides a comprehensive outlook of the most current data on population, housing, employment, development, transportation, and community services. These datasets are used to obtain an understanding of community, plan future services/needs, guide policy decisions, and secure grant funding. A <a href="http://www.arlingtonva.us/profile">PDF Version</a> of the Arlington Profile can be accessed on the Arlington County website.

Organization: Arlington County, VA
Nicholas 2018_Supporting data for journal article

This file contains a summary of data presented in the journal article by Nicholas et al., "Forest riparian buffers can reduce timber harvesting effects on stream temperature under future conditions, but additional climate adaptation strategies are likely needed", 

This dataset is associated with the following publication:
Nicholas, H., S. Sarkar, J. Butcher, T. Johnson, S. Julius, and S. LeDuc. Forest Riparian Buffers Reduce Timber Harvesting Effects on Stream Temperature, but additional Climate Adaptation Strategies are likely needed under future conditions.   Journal of Water and Climate Change. IWA Publishing, London,  UK,  1-16, (2021).

Tags: bmp, forest, performance, water-quality
Organization: U.S. Environmental Protection Agency
EM712 Water Column Sonar Data Collected During SR1805

Sally Ride Cruise SR1805 (EM712)

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 pacific 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