AndreaBozzo/ceres-open-data-index huggingface dataset:
A Biologically Based Model to Quantitatively Assess the Role of the Nuclear Receptors liver X (LXR), and pregnane X (PXR) on Chemically Induced Hepatic Steatosis

The data used in this manuscript came from published literature. 

This dataset is associated with the following publication:
Bay, C., and H. El-Masri. A biologically based model to quantitatively assess the role of the nuclear receptors liver X (LXR), and pregnane X (PXR) on chemically induced hepatic steatosis.   TOXICOLOGY LETTERS. Elsevier Science Ltd, New York, NY, USA, 359(15): 46-54, (2022).

Tags: hepatic-steatosis, liver, nuclear-receptors, pbpk, qaop
Organization: U.S. Environmental Protection Agency
Lake Huron 2017 CSMI water quality data supporting Dreissena veliger pattern analyses

This publication arises from a collaboration among federal agencies.  U.S. EPA lead the water quality data collection, which is the data provided here.  The data were obtained from ship-board sampling in spring and summer of 2017. 

This dataset is associated with the following publication:
Kirkendall, D., D. Bunnell, P. Armenio, L. Eaton, A. Trebitz, and N. Watson. Spatial and temporal distributions of Dreissena spp. veligers in Lake Huron: Does calcium limit settling success?.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 47(4): 1040-1049, (2021).

Tags: dreissena, great-lakes, veligers
Organization: U.S. Environmental Protection Agency
Lake Ontario benthic macroinvertebrate data 1994, 1997, 1998, 1999

Densities of major taxonomic groups and species (or higher taxa) of benthic macroinvertebrates sampled in lake-wide surveys of Lake Ontario conducted in 1994, 1997, 1998, and 1999. 

This dataset is associated with the following publication:
Burlakova, L., A.  Karatayev, A. Hrycik, S. Daniel, K. Mehler, L. Rudstam, J. Watkins, R. Dermott, J. Scharold, A. Elgin, and T. Nalepa. Six decades of Lake Ontario ecological history according to benthos..   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 48(2): 274-288, (2022).

Tags: benthic-macroinvertebrates, great-lakes, lake-ontario
Organization: U.S. Environmental Protection Agency
Omaha Lead Study data

We linked information on SLL at residential properties with children’s BLLs, grouping children based on whether they had pre- and/or post-remediation BLLs. Our data includes PII and we have a data use agreement that was negotiated between the Douglas County Health Department and the U.S. Environmental Protection Agency. This agreement states that, “Upon completion of this work described herein, all Restricted Data records shall be destroyed or returned … within 30 days of the completion of the work. In addition, the Institutional Review Board (IRB) protocol (UNC-IRB No. 15-1629) further outlines how the confidentiality of the data will be protected during analysis. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Please contact Ellen Kirrane at kirrane.ellen@epa.gov. Format: Data is in tabular format. 

This dataset is associated with the following publication:
Ye, D., J. Brown, D. Umbach, J. Adams, W. Thayer, M. Follansbee, and E. Kirrane. Estimating the effects of soil remediation on children’s blood lead near a former lead smelter in Omaha Nebraska, U.S..   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 130(3): 037008 1-17, (2022).

Tags: childrens-health, lead, remediation, superfund
Organization: U.S. Environmental Protection Agency
Brockmann Consult

Contact Kerstin Stelzer at kerstin.stelzer@brockmann-consult.de as owner of satellite data. In situ measures are publicly available at www.waterqualitydata.us; https://dec.vermont.gov/watershed/lakes-ponds/monitor/lake-champlain; and https://lter.limnology.wisc.edu/. Portions of this dataset are inaccessible because: Satellite data is property of Brockmann Consult. They can be accessed through the following means: Contact Kerstin Stelzer at kerstin.stelzer@brockmann-consult.de as owner of satellite data. Format: www.waterqualitydata.us; 

This dataset is associated with the following publication:
Schaeffer, B., W. Salls, M. Coffer, C. Lebreton, M. Werther, K. Stelzer, E. Urquhart, and D. Gurlin. Merging of the Case 2 Regional Coast Colour and Maximum-Peak Height chlorophyll-a algorithms: validation and demonstration of satellite-derived retrievals across US lakes.   ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 194: 179, (2022).

Tags: chlorophyll, lakes-reservoirs, satellite, trophic-state, water-quality
Organization: U.S. Environmental Protection Agency
Coral Reef Benthic BCG Narrative Model dataset

The dataset contains the responses and rating from coral reef experts who served on a panel to develop a numeric model for the biological condition gradient (BCG).  The BCG is a tool to assess the condition of coral reefs.  Experts were provided workbooks containing a suite of condition metrics for coral and other benthic assemblages to evaluate.  This data set contains the records for the BCG level ranked condition  for each site rated by each expert. It also includes an explanation of each experts logic for their assigned score.  Median scores for each site were calculated from all experts scores and assigned as the final site score. The experts narrative logic and median scores were used to develop numeric decision rules with threshold values between the levels for the coral reef BCG model. 

This dataset is associated with the following publication:
Santavy, D., S. Jackson, B. Jessup, C. Rogers, E. Weil, A. Szmant, D. Cuevas-Miranda, B. Walker, C. Jeffrey, D. Ballantine, W. Fisher, R. Clark, H. Ruiz-Torres, B. Todd, C. Horstmann, and S. Raimondo. A biological condition gradient for Caribbean coral reefs: Part II. Numeric rules using sessile benthic organisms..   ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 135: 13, (2022).

Tags: biocritera, biological-condition-gradient, coral-reef-condition, coral-reefs, expert-ranking, tool-for-management
Organization: U.S. Environmental Protection Agency
Krause_A-7m0t_Dataset_SCWO_20210302

This is the data contained in the paper "Supercritical water oxidation (SCWO) as an innovative technology for PFAS destruction". 

This dataset is associated with the following publication:
Krause, M., E. Thoma, E. Sahle-Demessie, B. Crone, A. Whitehill, E. Shields, and B. Gullett. Supercritical water oxidation as an innovative technology for PFAS destruction.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 148(2): NA, (2022).

Tags: afff, pfas, scwo
Organization: U.S. Environmental Protection Agency
Data for "Pathways to highly oxidized products in the d3-carene + OH system"

Oxidation of the monoterpene Δ3-carene (C10H16) is a potentially important and under-studied source of atmospheric secondary organic aerosol (SOA). We present chamber-based measurements of the speciated gas and particle phases during photochemical oxidation of Δ3-carene. We find evidence of highly oxidized organic molecules (HOM) in the gas phase and relatively low volatility SOA dominated by C7-C10 species. We then use computational methods to develop the first stages of a Δ3-carene photochemical oxidation mechanism and explain some of our measured compositions. We find that alkoxy bond scission of the cyclohexyl ring likely leads to efficient HOM formation, in line with previous studies. We also find a surprising role for the abstraction of primary hydrogens from methyl groups, which has been calculated to be rapid in the α-pinene system, and suggest more research is required to determine if this is more general to other systems and a feature of autoxidation. This work develops a more comprehensive view of Δ3-carene photochemical oxidation products via measurements and lays out a suggested mechanism of oxidation via computationally derived rate coefficients. This dataset is not publicly accessible because: Non-EPA data. It can be accessed through the following means: Please contact Joel Thornton at: thornton@atmos.uw.edu. Format: text files. 

This dataset is associated with the following publication:
D'Ambro, E., N. Hyttinen, K. Møller, S. Iyer, R. Otkjær, D. Bell, J. Liu, F. Lopez-Hilfiker, S. Schobesberger, J. Shilling, A. Zelenyuk, H. Kjaergaard, J. Thornton, and T. Kurten. Pathways to highly oxidized products in the Δ3-Carene + OH system.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 56(4): 2213-2224, (2022).

Tags: biogenic-volatile-organic-compound, chemical-ionization-mass-spectrometry, computational-rate-calculations, secondary-organic-aerosol-soa
Organization: U.S. Environmental Protection Agency
Micronized copper treated wood

The data include copper concentrations in surface and subsurface water in mesocosms as well as pH, dissolved oxygen, and electrical conductivity.  It also shows spectra of copper speciation in wood and soil surrounding wood stakes. 

This dataset is associated with the following publication:
Johnson, M.G., T.P. Luxton, P.T. Rygiewicz, J.R. Reichman, M.A. Bollman, G.A. King, M.J. Storm, M. Nash, and C. Andersen. Transformation and Release of Micronized Cu used as a Wood Preservative in Treated-Wood in Wetland Soil.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 287: 117189, (2021).

Tags: ammonium-nitrate, engineered-nanomaterials-enms, intergenerational-effects, isotope, isotopic-discrimination, nitrogen
Organization: U.S. Environmental Protection Agency
Dataset - Potential Local to Regional Scale Impacts from Wildfire Re-emission of Hypothetical Radiological Contamination Incidents

Many of these data files are essentially grid numbers for raster images that were created by software visualizing clouds of air emissions rather than x-y coordinates like you would plot in Excel or a similar software package.  The data dictionary describes the data file contents. 

This dataset is associated with the following publication:
Baker, K., S. Lee, P. Lemieux, S. Hudson, B. Murphy, J. Bash, S. Koplitz, K. Nguyen, W.M. Hao, S. Baker, and E. Lincoln. Predicting wildfire particulate matter and hypothetical re-emission of radiological Cs-137 contamination incidents.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 795: 148872, (2021).

Tags: cesium, cmaq, wildfire
Organization: U.S. Environmental Protection Agency
Recycling of Plastics in the United States: Data for PET Flows for Material Flow Analysis and MRF and Reclaimer Calculations

The journal article, "Recycling of Plastics in the United States: Plastic Material Flows and Polyethylene Terephthalate (PET) Recycling Processes," has two spreadsheet files associated with it as Supporting Information which are also data sets.  The data describes 1) PET Flows for Material Flow Analysis, and 2) Material Recovery Facility (MRF) and Reclaimer Calculations. 

This dataset is associated with the following publication:
Smith, R.L., S. Takkellapati, and R.C. Riegerix. Recycling of Plastics in the United States: Plastic Material Flows and Polyethylene Terephthalate (PET) Recycling Processes.   ACS Sustainable Chemistry & Engineering. American Chemical Society, Washington, DC, USA, 10(6): 2084-2096, (2022).

Tags: emissions, material-recovery-facilities, mrf, pet, plastics, polyethylene-terephthalate, processes, recycling, resource-use
Organization: U.S. Environmental Protection Agency
Individual FEGS x BMP tables

Final ecosystem goods and services (FEGS) that may be associated with several different best management practices (BMPs). 

This dataset is associated with the following publication:
Rossi, R., C. Bisland, L. Sharpe, E. Trentacoste, B.(. Williams, and S. Yee. Identifying and Aligning Ecosystem Services and Beneficiaries Associated with Best Management Practices in Chesapeake Bay Watershed.   ENVIRONMENTAL MANAGEMENT. Springer-Verlag, New York, NY, USA,  26, (2022).

Tags: best-managment-practices, final-ecosystem-services
Organization: U.S. Environmental Protection Agency
Observations and Parameterization of the Effects of Barrier Height and Source-to-Barrier Distance on Concentrations Downwind of a Roadway Data

This is the data used in the manuscript entitled "Observations and Parameterization of the Effects of Barrier Height and Source-to-Barrier Distance on Concentrations Downwind of a Roadway" published in Atmospheric Pollution Research in 2022. 

This dataset is associated with the following publication:
Francisco, D., D. Heist, A. Venkatram, L. Brouwer, and S. Perry. Observations and parameterization of the effects of barrier height and source-to-barrier distance on concentrations downwind of a roadway.   Atmospheric Pollution Research. Turkish National Committee for Air Pollution Research and Control, Izmir,  TURKEY, 13(4): 101385, (2022).

Tags: dispersion-modeling, mobile-source, noise-barriers, wind-tunnel
Organization: U.S. Environmental Protection Agency
Supply Chain GHG Emission Factors for US Commodities and Industries v1.1.1

Tables presenting supply chain and margin emission factors and data quality scores for US commodities and industries calculated from USEEIO models at two levels of commodity/industry categorization, detail and summary, for both industries and commodity, and annually from 2010-2016. See the EPA report for full details on emission factor preparation. These factors were produced by knitting the GenerateEmissionFactorsDataset.Rmd file in RStudio using the supply-chain-factors code, v1.1.1 at https://github.com/USEPA/supply-chain-factors/releases/tag/v1.1.1. 

This dataset is associated with the following publication:
Ingwersen, W., and M. Li. Supply Chain Greenhouse Gas Emission Factors for US Industries and Commodities. U.S. Environmental Protection Agency, Washington, DC, USA, 2020.

Tags: dollar-based-emissions, life-cycle-ghg-emissions, scope-3, us-industry-ghgs, useeio
Organization: U.S. Environmental Protection Agency
Secondary organic aerosol and cardiorespiratory disease mortality data

The analysis code for post-processing CMAQ predictions, aggregating CMAQ to annual-average component values, aligning data by county, and performing the statistical analyses as well as the complete set of multiple regression results from the associated publication are available here. 

This dataset is associated with the following publication:
Pye, H., C. Ward-Caviness, B. Murphy, K.W. Appel, and K. Seltzer. Secondary organic aerosol association with cardiorespiratory disease mortality in the United States.   NATURE. Nature Publishing Group, New York, NY, USA, 12: 7215, (2021).

Tags: biogenic-voc, pm2-5, pm2-5-air-quality-modeling, semivolatile-organic-compounds-svocs, soa
Organization: U.S. Environmental Protection Agency
Lidar Survey of Dump Creek, ID 2019

This lidar survey of Dump Creek, ID was collected for Brian Yanites at Indiana University, Bloomington in order to quantify the impact of a late 19th century drainage diversion on landscape processes. The rerouting of Moose Creek to Dump Creek resulted in the river channel widening and undercutting the proximal valley walls, initiating scores of landslides. The data will be used to map the channel morphology, landslides, and tension cracks that continue to propagate across this landscape over a century after the drainage diversion. Data was collected in September 2019 at Dump Creek, northwest of Salmon, Idaho.

Organization: OpenTopography
United States COVID-19 Community Levels by County as Originally Posted

This public use dataset has 11 data elements reflecting COVID-19 community  levels for all available counties. This dataset contains the same values used to display information available at https://www.cdc.gov/coronavirus/2019-ncov/science/community-levels-county-map.html.  

CDC looks at the combination of three metrics — new COVID-19 admissions per 100,000 population in the past 7 days, the percent of staffed inpatient beds occupied by COVID-19 patients, and total new COVID-19 cases per 100,000 population in the past 7 days — to determine the COVID-19 community level. The COVID-19 community level is determined by the higher of the new admissions and inpatient beds metrics, based on the current level of new cases per 100,000 population in the past 7 days. New COVID-19 admissions and the percent of staffed inpatient beds occupied represent the current potential for strain on the health system. Data on new cases acts as an early warning indicator of potential increases in health system strain in the event of a COVID-19 surge.

Using these data, the COVID-19 community level is classified as low, medium , or high.

COVID-19 Community Levels can help communities and individuals make decisions based on their local context and their unique needs. Community vaccination coverage and other local information, like early alerts from surveillance, such as through wastewater or the number of emergency department visits for COVID-19, when available, can also inform decision making for health officials and individuals. See https://www.cdc.gov/coronavirus/2019-ncov/science/community-levels.html for more information. 

Visit CDC’s COVID Data Tracker County View* to learn more about the individual metrics used for CDC’s COVID-19 community level in your county. Please note that county-level data are not available for territories. Go to https://covid.cdc.gov/covid-data-tracker/#county-view.

For the most accurate and up-to-date data for any county or state, visit the relevant health department website. *COVID Data Tracker may display data that differ from state and local websites. This can be due to differences in how data were collected, how metrics were calculated, or the timing of web updates.

Tags: cases, community-levels, coronavirus, county, covid-19, hospital
Organization: U.S. Department of Health & Human Services
NCHS - U.S. and State Trends on Teen Births

This dataset assembles all final birth data for females aged 15–19, 15–17, and 18–19 for the United States and each of the 50 states.

Data are based on 100% of birth certificates filed in all 50 states. All the teen birth rates in this dashboard reflect the latest revisions to Census populations (i.e., the intercensal populations) and thus provide a consistent series of accurate rates for the past 25 years. The denominators of the teen birth rates for 1991–1999 have been revised to incorporate the results of the 2000 Census. The denominators of the teen birth rates for 2001–2009 have revised to incorporate the results of the 2010 Census.

Tags: nchs, state-teen-birth-trends, teen-births, u-s-and-state-trends-on-teen-births, u-s-teen-birth-rate, united-states
Organization: U.S. Department of Health & Human Services
ORHAB Risk Data Files - Includes Multiple Files

Primary data are 25 yrs of discharge (i.e. river flow) for multiple sites on the Ohio River. Supporting data are water quality variables for select sites on the Ohio river, including nutrient species, information from algal cell counts, and in-situ sensor data. 

This dataset is associated with the following publication:
Nietch, C., L. Gains-Germain, J. Lazorchak, S. Keely, G. Youngstrom, E.M. Urichich, B. Astifan, A. DaSilva, and H. Mayfield. Development of a Risk Characterization Tool for Harmful Cyanobacteria Blooms on the Ohio River.   WATER. MDPI AG, Basel,  SWITZERLAND, 14(4): 644, (2022).

Tags: continuous, river-discharge, time-series, water-quality-sensors
Organization: U.S. Environmental Protection Agency
Deep soil nitrogen storage slows nitrate leaching through the vadose zone [dataset]

This field study was designed to evaluate how nitrate leaching rates change with depth and how seasonal and annual variation in management (e.g., fertilizer input amount and summer irrigation) impact the transport of water and nutrients through the vadose zone. The field experiment was established in June 2016 with the uniform planting of a sweet corn crop across the whole ~0.8 ha site. In September 2016, monitoring networks were installed in two subfields, North and South, consisting of groundwater wells and vadose zone instrumentation installed near the center of each. Water was sampled every two weeks beginning in October 2016 and analyzed for nitrate. We present three years of nitrate data, modeled water flux, and post-harvest soil nutrient data starting in July 2017 and reported on a “fertilizer year” basis, defined as beginning in the summer, coinciding with the peak of the growing season when crop growth, irrigation rates, and fertilizer application are greatest (July-June; straddles two calendar years). 

This dataset is associated with the following publication:
Weitzman, J., J.R. Brooks, J. Compton, B. Faulkner, P. Mayer, R.E. Peachey, W. Rugh, R. Coulombe, B. Hatteberg, and S. Hutchins. Deep soil nitrogen storage slows nitrate leaching through the vadose zone.   AGRICULTURE, ECOSYSTEMS & ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 332: 107949, (2022).

Tags: legacy-nutrients, lysimeters, nitrate, nitrogen, nitrogen-accumulation, nitrogen-budget, nutrient-management, soil-water, translational-science, vadose-zone, water-quality
Organization: U.S. Environmental Protection Agency
Data for Cleaner air reveals growing influence of climate on dissolved organic carbon trends

Surface water browning, the result of increasing concentrations of dissolved organic matter
(DOM), has been widespread in northern ecosystems in recent decades. Here, we assess a database
of 426 undisturbed headwater lakes and streams in Europe and North America for evidence of
trends in DOM between 1990 and 2016. We describe contrasting changes in DOM trends in
Europe (decelerating) and North America (accelerating), which are consistent with organic matter
solubility responses to declines in sulfate deposition. While earlier trends (1990–2004) were almost
entirely related to changes in atmospheric chemistry, climatic and chemical drivers were equally
important in explaining recent DOM trends (2002–2016). We estimate that riverine DOM export
from northern ecosystems increased by 27% during the study period. Increased summer
precipitation strengthened upward dissolved organic carbon trends while warming apparently
damped browning. Our results suggest strong but changing influences of air quality and climate on
the terrestrial carbon cycle, and on the magnitude of carbon export from land to water. 

This dataset is associated with the following publication:
de Wit, H., J. Stoddard, D. Monteith, J. Sample, K. Austnes, S. Couture, J. Fölster, S. Higgins, D. Houle, J. Hruška, P. Krám, J. Kopáček, A. Paterson, S. Valinia, H. van Dam, J. Vuorenmaa, and C. Evans. Cleaner air reveals growing influence of climate on dissolved organic carbon trends in northern headwaters.   Environmental Research Letters. IOP Publishing LIMITED, Bristol,  UK, 16(10): 104009, (2021).

Tags: carbon-cycle, catchment-doc-export, organic-matter-solubility, precipitation, sulfate-deposition, surface-water-browning
Organization: U.S. Environmental Protection Agency