AndreaBozzo/ceres-open-data-index huggingface dataset:
TIGER/Line Shapefile,  2015, Series Information for the 2015 TIGER/Line Shapefile All Roads County-based Shapefile

 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, and stairways.
               
               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.
            

Tags: address range, alleys, bike paths or trails, bridle/horse paths, city streets, county or equivalent entity, highway, interstate, linear feature, local neighborhood roads, logging roads, oil field roads, parking lot roads, primary roads, private roads for service vehicles, ramps, ranch roads, road feature, roads, rural roads, secondary roads, service drives, stairways, street centerline, u.s., united states, vehicular trails (4wd), walkways/pedestrian trails
Organization: U.S. Census Bureau, Department of Commerce
PFAS PBPK Template Model

The data set includes source code that implements a PBPK template model applicable to PFAS.  It includes data digitized from Kim et al. (2018), Kim et al. (2019), and Loccisano et al. (2012) used to show the capability of the template to replicate published PFAS PBPK models.  The template model is described in a paper that is in review at the journal Toxicological Sciences. 

Tags: model-template, pbpk-model, pfas, risk-assessment
Organization: U.S. Environmental Protection Agency
Literature data for Assessing Human Exposure to Chemicals in Materials, Products and Articles

It is literature data. This dataset is not publicly accessible because: The data was not generated by EPA. It can be accessed through the following means: Link will be available when it is published in peer reviewed journal. Format: The review paper only included published literature data. 

This dataset is associated with the following publication:
Eichler, C., Y. Xu, J. Cao, C. Weschler, T. Salthammer, G. Morrison, Y. Zhang, C. Mandin, W. Wei, P. Blondeau, D. Poppendieck, E. Cohen-Hubal, X. Liu, C. Delmaar, A.J. Koivisto, O. Jolliet, H. Shin, M. Diamond, C. Bi, and J. Little. Assessing Human Exposure to Chemicals in Materials, Products and Articles:A Modular Mechanistic Framework.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA,  NA, (2020).

Tags: articles, exposure-to-chemicals, materials, modeling, products, semi-volatile-organic-compounds-svocs
Organization: U.S. Environmental Protection Agency
Wilkin et al. (2020) PRB REE dataset

The dataset contains Rare Earth Element concentration data in groundwater at various sites in the United States where in-situ remediation technologies are used for site management. 

This dataset is associated with the following publication:
Wilkin, R.T., T.R. Lee, R.D. Ludwig, C. Wadler, W. Brandon, B. Mueller, E. Davis, D. Luce, and T. Edwards. Rare-Earth Elements as Natural Tracers for In-situ Remediation of Groundwater.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 55: 1251-1259, (2021).

Tags: aquifer-remediation, arsenic, chromium, groundwater, permeable-reactive-barrier, tce
Organization: U.S. Environmental Protection Agency
AHHS 1 and 2 SciHUB 8-17-20.xlsx

Each Table or Figure is covered on a seperate sheet in the EXCEL file, i.e., Table 1, Table 2, Table 3 and figure 1.  Table 1 contains raw data for the number of cell equivalents per mg of dust and the resulting % occurence of each of the 36 ERMI molds, also the concnetration of each of the eRMI molds and the Geometric mean (GM) for the samples.  Table 2 shows the data for the  comparisons made for the average ERMI values in the first American Healthy Homes Survey (AHHS I) and AHHS II homes and in homes built before 1978 (Pre-1978) and homes built in 1978 or later (Post-1977).  Table 3 contains the data used to generate the average summed logs of Group 1 mold populations (Group 1) and summed logs of Group 2 mold populations (Group 2) in the American Healthy Homes Survey II (AHHS II)  homes built before 1978 (Pre-1978) and homes built in 1978 or later (Post-1977).  And the Figure 1 Excel sheet shows the data used to produce the Kernel density estimate plots of the Environmental Relative Moldiness Index (ERMI) values for the homes sampled in AHHS I (n=1096) and AHHS II (n=694). 

This dataset is associated with the following publication:
Vesper, S., L. Wymer, D. Cox, G. Dewalt, E. Pinzer, W. Friedman, and P.J. Ashley. The Environmental Relative Moldiness Index reveals changes in mold contamination in United States homes over time.   JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HYGIENE. Taylor & Francis, Inc., Philadelphia, PA, USA, 18(1): 35-41, (2021).

Tags: american-healthy-home-survey, asthma, environmental-relative-mold-index, home, mold
Organization: U.S. Environmental Protection Agency
Characterizing the air emissions, transport, and deposition of per- and polyfluoroalkyl substances from a fluoropolymer manufacturing facility

The dataset provided here documents the information used to generate figures for "Characterizing the Air Emissions, Transport, and Deposition of Per- and Polyfluoroalkyl Substances from a Fluoropolymer Manufacturing Facility" published in Environmental Science and Technology. 

This dataset is associated with the following publication:
D'Ambro, E., H. Pye, J. Bash, J. Boyer, C. Allen, C. Efstathiou, R. Gilliam, L. Reynolds, K. Talgo, and B. Murphy. Characterizing the air emissions, transport, and deposition of per- and polyfluoroalkyl substances from a fluoropolymer manufacturing facility.   International Journal of Environmental Science and Technology. Springer, Heidelburg,  GERMANY, 55(2): 862-870, (2021).

Tags: air-fate-and-transport, air-quality, cmaq, genx, pfas
Organization: U.S. Environmental Protection Agency
Nichols et al_PMSF_ScienceHub_entry

This dataset describes the results of a set of experiments, the goal of which was to evaluate the effects of protease inhibitors on the trout liver S9 substrate depletion assay.  The presented data show that addition of phenylmethylsulfonyl fluoride (PMSF), a serine protease inhibitor, substantially increases the working lifetime of the trout S9 assay, resulting in improved detection of low intrinsic clearance rates.  These findings substantially increase the utility of the trout S9 assay and may have broad implications for its use to support chemical bioaccumulation assessments. 

This dataset is associated with the following publication:
Nichols, J., A. Hoffman, J. Swintek, S. Droge, and P. Fitzsimmons. Addition of phenylmethylsulfonyl fluoride (PMSF) substantially increases the working lifetime of the trout liver S9 substrate depletion assay resulting in improved detection of low intrinsic clearance rates.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 40(1): 148-161, (2021).

Tags: bioaccumulation-assessment, in-vitro-in-vivo-extrapolation, liver-s9, phenylmethylsulfonyl-fluoride, protease-inhibitor
Organization: U.S. Environmental Protection Agency
Transportation emissions scenarios for New York City under different carbon intensities of electricity and electric vehicle adoption rates

Abstract
Like many cities around the world, New York City is establishing policies to reduce CO2 emissions from all energy sectors by 2050. Understanding the impact of varying degrees of electric vehicle adoption and CO2 intensities on emission reduction in the city is critical. Here, using a technology-rich, bottom-up, energy system optimization model, we analyze cost and air emission impacts of New York City’s proposed CO2 reduction policies for the transportation sector through a scenario framework. Our analysis reveals electrification of light-duty vehicles at earlier periods are essential for deeper reductions in air emissions. When further combined with energy efficiency improvements, these actions contribute to CO2 reductions under the scenarios of higher CO2 intense electricity. Significant reliance on fossil fuels and a need for structural change pose challenges to cost-effective CO2 reductions in the transportation sector. Here we found that uncertainties associated with decarbonization of the electric grid has minimum influence on cost-effectiveness of CO2 reduction pathways for transportation sector. 

This dataset is associated with the following publication:
Isik, M., R. Dodder, and P. Kaplanakman. How sustainable are New York City’s transportation policies in the context of broader emissions reduction targets?.   Nature Energy. Springer Nature Group, New York, NY,  6: 92-104, (2021).

Tags: 80x50, air-emissions, air-pollution, air-quality, city-planning, co-benefits, co-effects-of-mitigation-policies, community-decision-making, energy-modeling, energy-systems-modeling, energy-water-nexus, ghg-mitigation, greenhouse-gas-emissions, markal, policy-evaluation, transportation-policies, transportation-sector
Organization: U.S. Environmental Protection Agency
Data for Tables and Figures - Marine Fisheries

The dataset provides the data used in each of the figures and tables in the final published manuscript specifically Figures 2-9 and Tables 10 and 11. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.

Tags: climate-change, commercial-fisheries, marine-species-distribution, warming-ocean-temperatures, welfare-impacts
Organization: U.S. Environmental Protection Agency
Datasets for manuscript "A data engineering approach for chemical flow analysis and circular economy"

As described in the README.md file, the GitHub repository EoL4Chem are Python scripts written to track chemical waste flows and identify recycling, energy recovery, treatment & disposal facilities (RETDFs) located across the United States of America, using publicly-available databases. EoL4Chem uses the U.S. Environmental Protection Agency (EPA)'s Chemical Data Reporting (CDR) to gather information about potential post-recycling scenarios for recycled chemicals (e.g., fuel or fuel agent). EoL4Chem integrates the PAU4Chem repository, which transforms data for performing chemical flow analysis for pollution abatement units (PAUs) or on-site end-of-life (EoL) operations (e.g., distillation). Also, EoL4Chem incorporates the physical properties (e.g., boiling point) from another repository that retrieves the properties using web scraping and automatization. These properties support chemical flow analysis performance.
Also, it describes the Python libraries required for running the code, how to use it, the obtained outputs files after running the Python script (all manuscript figures, e.g., file name Sankey_1.pdf	is the Sankey diagram shown in Figure 4A), and the corresponding Disclaimer.

Tags: chemical-flow-tracking, chemical-manufacturing, chemical-releases, chemical-safety-for-sustainability, circular-economy, end-of-life-management, exposure-pathways, life-cycle-environmental-assessment, life-cycle-inventory
Organization: U.S. Environmental Protection Agency
Data used in Figures and Tables in this Research Effort

The data set represents data collected during the pilot study. 

This dataset is associated with the following publication:
Lytle, D., D. Williams, C. Muhlen, E. Riddick, and M. Pham. The Removal of Ammonia, Arsenic, Iron and Manganese by Biological Treatment from a Small Iowa Drinking Water System.   Environmental Science: Water Research & Technology. Royal Society of Chemistry, Cambridge,  UK, 6(11): 3142-3156, (2020).

Tags: ammonia, arsenic, biological-treatment, drinking-water, iron, manganese
Organization: U.S. Environmental Protection Agency
Bioavailability, Bioaccessibility and speciation data.

Bioavailability, Bioaccessibility and speciation data. 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: Karen Bradham bradham.karen@epa.gov or Tyler Sowers sowers.tyler@epa.gov. Format: The data were generated using EPA and HUD samples.  All of the soil and dust samples were provided to CEMM for research and methods development based on the agreement that the specific sample identifiers would not be released.  The samples identifications for the HUD samples are considered PII and the EPA Regional soils samples are not identified because some of these locations may be in litigation.  

Tags: bioavailability, dust, lead, xas
Organization: U.S. Environmental Protection Agency
How to Support the Application of Multiple Criteria Decision Analysis?  Let us Start with a Taxonomy

Decision making is a complex task that involves a multitude of perspectives, constraints, and variables. Multiple Criteria Decision Analysis (MCDA) is a process that has been used for several decades to support decision making. It includes a series of steps that systematically help Decision Maker(s) (DM(s)) and stakeholders in structuring a decision problem, identifying their preferences and building a decision recommendation consistent with those preferences. Over the last decades, many studies have demonstrated the conduct of the MCDA process and how to select an MCDA method. Until now, there has not been a review of these studies, nor a proposal of a unified and comprehensive high-level representation of the MCDA process characteristics (i.e., features), which is the goal of this paper. We introduce a review of the research that defines how to conduct the MCDA process, compares MCDA methods and presents Decision Support Systems (DSSs) to recommend a relevant MCDA method or a subset of methods. We then synthesize this research into a taxonomy of 10 characteristics of the MCDA process, grouped into three main phases, (i) problem formulation, (ii) construction of the decision recommendation and (iii) qualitative features and technical support. Each of these phases includes a subset of the 10 characteristics that help the analyst implementing the MCDA process, while also being aware of the implication of these choices at each step. By showing how decision making can be split into manageable and justifiable steps, we reduce the risk of overwhelming the analyst, as well as the DMs/stakeholders during the MCDA process. Additionally, we show how the DSSs for MCDA method recommendation can be grouped into three main clusters, such that a traceable and categorizable development of such systems can be enhanced. 

This dataset is associated with the following publication:
Cinelli, M., M. Kadziński, M. Gonzalez, and R. Słowiński. How to support the application of multiple criteria decision analysis? Let us start with a comprehensive taxonomy.   ACS Omega. American Chemical Society, Washington, DC, USA, 96: 102261, (2020).

Tags: decision-analysis, emerging-technology, environmental-remediation, multi-criteria-decision-analysis
Organization: U.S. Environmental Protection Agency
Contrasting radical activity

Reaction intermediates formed during the ultra-violet (UV) activation of hydrogen peroxide (H2O2) (UV-AHP) and persulfate (S2O82-) (UV-APS) include hydroxyl (•OH) and sulfate radicals (SO4•-), respectively. These radicals, used in oxidation treatment systems to degrade a broad spectrum of environmental contaminants, may also react with non-target chemical species (scavengers) that limit treatment efficiency. UV-AHP and UV-APS treatment systems were amended with solid phase alumina to assess scavenging by solid surfaces. The relative rates of reaction between the target compound, rhodamine B dye (RhB), and aqueous and solid phase scavengers was used to assess treatment performance. The overall rate of reaction and rate of radical scavenging was greater for •OH than SO4•-. Scavenging by dissolved constituents was dominated by the oxidant used (H2O2, S2O82-); and the rate of radical scavenging by alumina was greater than the rate of RhB oxidation in all cases. Treatment efficiency was lower in the UV-AHP than in the UV-APS treatment system and was attributed to greater aqueous and solid phase scavenging rates. The cost of commercially available H2O2 ($0.031 mol-1) and PS ($0.24 mol-1) was used in conjunction with the overall treatment efficiency to assess specific cost of treatment. The specific cost to treat the probe compound with UV-AHP was greater than UV-APS and was attributed to the much lower treatment efficiency with UV-AHP. The much-desired high reaction rate constants between •OH and environmental contaminants, relative to SO4•-, comes at the cost of greater combined scavenging rates, and consequently lower treatment efficiency. 

This dataset is associated with the following publication:
Rusevova Crincoli, K., and S.G. Huling. Contrasting hydrogen peroxide- and persulfate-driven oxidation systems: Impact of radical scavenging on treatment efficiency and cost.   Chemical Engineering Journal. Elsevier BV, AMSTERDAM,  NETHERLANDS, 404: 1-6, (2021).

Tags: hydroxyl-radicals, kinetics, mineral-surfaces, scavenging, sulfate-radicals, treatment-efficiency
Organization: U.S. Environmental Protection Agency
GAC Oxidation

Raw materials, activation methods, and post-activation treatment used in manufacturing granular activated carbon (GAC) results in a spectrum of physicochemical characteristics that potentially impact the adsorption oxidation treatment process. A comprehensive study is lacking that assesses the effect of GAC characteristics on adsorption oxidation treatment of contaminant-spent GAC. Consequently, it is inherently assumed the treatment process is GAC-independent. Here, GACs (n=31) were characterized and used in the hydrogen peroxide (H2O2)-based adsorption oxidation treatment of 2-chlorophenol (2CP)-spent GAC. The GACs exhibited a range in surface area, pore volume distribution, metals content, surface functionality, and H2O2 reaction. Chloride recovery, the treatment metric for 2CP oxidation, indicated a wide range in oxidation (0-49.2%) where bituminous- and wood-based GAC performed best. A selected subset of GACs (n=12), amended with iron, methyl tert-butyl ether, and H2O2, exhibited a range in oxidative treatment (1.1-57.9%). Correlations were established between GAC surface functionality, H2O2 reactivity, adsorption, and contaminant oxidation indicating multiple parameters play a collective and compounding role. The order of GACs successfully used in the treatment process is bituminous-based coal > wood > coconut > peat. Results showed adsorption oxidation treatment is GAC-dependent, and therefore, GAC selection is a key factor in the success of this technology. 

This dataset is associated with the following publication:
Rusevova Crincoli, K., P.K. Jones, and S.G. Huling. Fenton-driven oxidation of contaminant-spent granular activated carbon (GAC): GAC selection and implications.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 734: 1-9, (2020).

Tags: 2-chlorophenol, adsorption, advanced-oxidation, granular-activated-carbon, mtbe
Organization: U.S. Environmental Protection Agency
Nitrous Oxide Formation and Dissolved Oxygen Consumption from Dichloramine Hydrolysis: Evidence of Nitrosation Stemming from Nitroxyl in Chloramination

The dataset is the contact information for the corresponding author to obtain data associated with the manuscript. 

This dataset is associated with the following publication:
Pham, H., D. Wahman, and J. Fairey. Updated Reaction Pathway for Dichloramine Decomposition: Formation of Reactive Nitrogen Species and N-Nitrosodimethylamine.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 55(3): 1740-1749, (2021).

Tags: chloramine, ndma, nitrification
Organization: U.S. Environmental Protection Agency
Datasets for manuscript "Data engineering for tracking chemicals and releases at industrial end-of-life activities"

The GitHub repository contains a Python code (MC_Case_Study.py) to support and replicate the case study results shown in the manuscript entitled Data engineering for tracking chemicals and releases at industrial end-of-life activities. Also, it indicates the free-available Python libraries that are required for running the code "MC_Case_Study.py." The dataset "EoL_database_for_MC.csv" contains all data to execute the Python code and obtain "Figure 6: 6-level Sankey diagram for the case study", "Figure 7: Box plot for the case study", and "Figure 8: Histogram for the case study." A Table describing the data name entry and data type for the dataset "EoL_database_for_MC.csv" is shown. Also, this dataset information and Python code are provided in the manuscript Supporting Info file (see supporting documents). 

This dataset is associated with the following publication:
Hernandez-Betancur, J.D., G.J. Ruiz-Mercado, J.P. Abraham, M. Martin, W.W. Ingwersen, and R.L. Smith. Data engineering for tracking chemicals and releases at industrial end-of-life activities.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 405: 124270, (2021).

Tags: chemical-flow-tracking, chemical-manufacturing, chemical-releases, chemical-risk-evaluation, chemical-safety-for-sustainability, data-engineering, end-of-life-stage, industrial-end-of-life-activities, life-cycle-environmental-assessment, life-cycle-inventory
Organization: U.S. Environmental Protection Agency