AndreaBozzo/ceres-open-data-index huggingface dataset:
Stable isotope data for Seasonal variation in triple oxygen isotope ratios of precipitation and rivers

Stable water isotopes of precipitation across the USA and from summer and winter.  Additionally isotopic data was included for river water within the Willamette River in Oregon.  The d18O and d2H were previously published data (references given in the table), while the d17O values were measured on those archived samples, and published in this paper.  

Tags: precipitation, seasonal-variation, water-stable-isotope, willamette-river
Organization: U.S. Environmental Protection Agency
Autonomous underwater glider observations in southern Lake Ontario and Niagara River plume

Glider data for "Paul McKinney, Tom Hollenhorst, and Joel Hoffman "Autonomous underwater glider observations in southern Lake Ontario and Niagara River plume," Aquatic Ecosystem Health & Management 25(1), 102-113, (13 June 2022). https://doi.org/10.14321/aehm.025.01.102". 

This dataset is associated with the following publication:
McKinney, P., T. Hollenhorst, and J. Hoffman. Autonomous underwater glider observations in southern Lake Ontario and Niagara River plume.   Aquatic Ecosystem Health and Management. Taylor & Francis, Inc., Philadelphia, PA, USA, 25(1): 102-113, (2022).

Tags: coastal, conductance, great-lakes, water-quality
Organization: U.S. Environmental Protection Agency
Prioritizing Pesticides of Potential Concern and Identifying Potential Mixture Effects in Great Lakes Tributaries Using Passive Samplers

Dataset for "Loken LC, Corsi SR, Alvarez DA, Ankley GT, Baldwin AK, Blackwell BR, De Cicco LA, Nott MA, Oliver SK, Villeneuve DL. Prioritizing Pesticides of Potential Concern and Identifying Potential Mixture Effects in Great Lakes Tributaries Using Passive Samplers. Environ Toxicol Chem. 2023 Feb;42(2):340-366. doi: 10.1002/etc.5491. Epub 2022 Dec 23. PMID: 36165576; PMCID: PMC10107608.". 

This dataset is associated with the following publication:
Loken, L., S. Corsi, D. Alvarez, G. Ankley, A. Baldwin, B. Blackwell, L. DeCicco, M. Nott, S. Oliver, and D. Villeneuve. Prioritizing Pesticides of Potential Concern and Identifying Potential Mixture Effects in Great Lakes Tributaries Using Passive Samplers.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 42(2): 340-366, (2023).

Tags: contaminants, great-lakes, passive-samplers, pesticides, rivers
Organization: U.S. Environmental Protection Agency
Pesticide Prioritization by Potential Biological Effects in Tributaries of the Laurentian Great Lakes

Data files for "Oliver, S.K., Corsi, S.R., Baldwin, A.K., Nott, M.A., Ankley, G.T., Blackwell, B.R., Villeneuve, D.L., Hladik, M.L., Kolpin, D.W., Loken, L., DeCicco, L.A., Meyer, M.T. and Loftin, K.A. (2023), Pesticide Prioritization by Potential Biological Effects in Tributaries of the Laurentian Great Lakes. Environ Toxicol Chem, 42: 367-384. https://doi.org/10.1002/etc.5522". 

This dataset is associated with the following publication:
Oliver, S., S. Corsi, A. Baldwin, M. Nott, G. Ankley, B. Blackwell, D. Villeneuve, M. Hladik, D. Kolpin, L. Loken, L. DeCicco, M. Meyer, and K. Loftin. Pesticide Prioritization by Potential Biological Effects in Tributaries of the Laurentian Great Lakes.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 42(2): 367-384, (2023).

Tags: biological-effects, high-throughput-screening, laurentian-great-lakes, neonicotinoids, pesticides
Organization: U.S. Environmental Protection Agency
Prioritizing Pharmaceutical Contaminants in Great Lakes Tributaries Using Risk-Based Screening Techniques

Dataset for "Pronschinske, M.A., Corsi, S.R., DeCicco, L.A., Furlong, E.T., Ankley, G.T., Blackwell, B.R., Villeneuve, D.L., Lenaker, P.L. and Nott, M.A. (2022), Prioritizing Pharmaceutical Contaminants in Great Lakes Tributaries Using Risk-Based Screening Techniques. Environ Toxicol Chem, 41: 2221-2239. https://doi.org/10.1002/etc.5403". 

This dataset is associated with the following publication:
Pronschinske, M., S. Corsi, L. DeCicco, E. Furlong, G. Ankley, B. Blackwell, D. Villeneuve, P. Lenaker, and M. Nott. Prioritizing Pharmaceutical Contaminants in Great Lakes Tributaries Using Risk-Based Screening Techniques..   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 41(9): 2221-2239, (2022).

Tags: aquatic-toxicity, great-lakes-restoration-initiative, pharmaceuticals, screening-and-prioritization, surface-water
Organization: U.S. Environmental Protection Agency
Human well-being and natural capital indicators for Great Lakes waterfront revitalization

Dataset for "Ted R. Angradi, Jonathon J. Launspach, Molly J. Wick, Human well-being and natural capital indicators for Great Lakes waterfront revitalization, Journal of Great Lakes Research, Volume 48, Issue 4, 2022, Pages 1104-1120, ISSN 0380-1330, https://doi.org/10.1016/j.jglr.2022.04.016.". 

This dataset is associated with the following publication:
Angradi, T., J. Launspach, and M. Wick. Human well-being and natural capital indicators for Great Lakes waterfront revitalization.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 48(4): 1104-1120, (2022).

Tags: equitability, indicators, laurentian-great-lakes, natural-capital, waterfront-revitalization, well-being
Organization: U.S. Environmental Protection Agency
2022 American Community Survey: 1-Year Estimates - Public Use Microdata Sample Puerto Rico

The Public Use Microdata Sample (PUMS) for Puerto Rico (PR) contains a sample of responses to the Puerto Rico Community Survey (PRCS). The PRCS is similar to, but separate from, the American Community Survey (ACS). The PRCS collects data about the population and housing units in Puerto Rico. Puerto Rico data is not included in the national PUMS files. It is published as a state equivalent file and has a State FIPS code of "72". The file includes variables for nearly every question on the survey, as well as many new variables that were derived after the fact from multiple survey responses (such as poverty status). Each record in the file represents a single person, or, in the household-level dataset, a single housing unit. In the person-level file, individuals are organized into households, making possible the study of people within the contexts of their families and other household members. Individuals living in Group Quarters, such as nursing facilities or college facilities, are also included on the person file. Data are available at the state and Public Use Microdata Area (PUMA) levels. PUMAs are special non-overlapping areas that partition Puerto Rico into contiguous geographic units containing roughly 100,000 people each. The Puerto Rico PUMS file for an individual year, such as 2022, contain data on approximately one percent of the Puerto Rico population.

Tags: census
Organization: Department of Commerce
American Community Survey: 1-Year Supplemental Estimates

The American Community Survey (ACS) is a nationwide survey designed to provide communities a fresh look at how they are changing. The ACS replaced the decennial census long form in 2010 and thereafter by collecting long form type information throughout the decade rather than only once every 10 years. Questionnaires are mailed to a sample of addresses to obtain information about households -- that is, about each person and the housing unit itself. The American Community Survey produces demographic, social, housing and economic estimates in the form of 1 and 5-year estimates based on population thresholds. The strength of the ACS is in estimating population and housing characteristics. It produces estimates for small areas, including census tracts and population subgroups. Although the ACS produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns, and estimates of housing units for states and counties. For 2010 and other decennial census years, the Decennial Census provides the official counts of population and housing units.

Tags: census
Organization: Department of Commerce
2022 American Community Survey: 1-Year Estimates - Public Use Microdata Sample

The American Community Survey (ACS) Public Use Microdata Sample (PUMS) contains a sample of responses to the ACS. The ACS PUMS dataset includes variables for nearly every question on the survey, as well as many new variables that were derived after the fact from multiple survey responses (such as poverty status). Each record in the file represents a single person, or, in the household-level dataset, a single housing unit. In the person-level file, individuals are organized into households, making possible the study of people within the contexts of their families and other household members. Individuals living in Group Quarters, such as nursing facilities or college facilities, are also included on the person file. ACS PUMS data are available at the nation, state, and Public Use Microdata Area (PUMA) levels. PUMAs are special non-overlapping areas that partition each state into contiguous geographic units containing roughly 100,000 people each. ACS PUMS files for an individual year, such as 2022, contain data on approximately one percent of the United States population.

Tags: census
Organization: Department of Commerce
Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation

Data file for "Vliet SMF, Hazemi M, Blatz D, Jensen M, Mayasich S, Transue TR, Simmons C, Wilkinson A, LaLone CA. Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation. J Vis Exp. 2023 Feb 10;(192). doi: 10.3791/63970. PMID: 36847398.". 

This dataset is associated with the following publication:
Vliet, S., M. Hazemi, D. Blatz, M. Jensen, S. Mayasich, T. Transue, C. Simmons, A. Wilkinson, and C. Lalone. Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation.   Journal of Visualized Experiments. JoVE, Somerville, MA, USA,  192, (2023).

Tags: bioinformatics, cross-species-extrapolation, opioid-receptor, seqapass, transthyretin
Organization: U.S. Environmental Protection Agency
Toxicity by descent: a comparative approach for chemical hazard assessment

Data for "John K. Colbourne, Joseph R. Shaw, Elena Sostare, Claudia Rivetti, Romain Derelle, Rosemary Barnett, Bruno Campos, Carlie LaLone, Mark R. Viant, Geoff Hodges, Toxicity by descent: A comparative approach for chemical hazard assessment, Environmental Advances, Volume 9, 2022, 100287, ISSN 2666-7657, https://doi.org/10.1016/j.envadv.2022.100287". 

This dataset is associated with the following publication:
Colbourne, J., J. Shaw, E. Sostare, C. Rivetti, R. Derelle, R. Barnett, B. Campos, C. Lalone, M. Viant, and G. Hodges. Toxicity by descent: a comparative approach for chemical hazard assessment.   Environmental Advances. Elsevier B.V., Amsterdam,  NETHERLANDS, 9: 100287, (2022).

Tags: conservation, disease, homology, non-animal-approaches
Organization: U.S. Environmental Protection Agency
Zircon U-Pb results from the eastern Moran area, Tanana B-6 and Melozitna B-1 quadrangles, Alaska

Raw Data File 2023-15,Zircon U-Pb results from the eastern Moran area, Tanana B-6 and Melozitna B-1 quadrangles, Alaska, Raw Data File 2023-15, U-Pb geochronologic data from 2011 DGGS field studies in the eastern Moran area. These dates were obtained as part of an integrated geological, geophysical, and geochemical mineral inventory study in the eastern Kokrines Hills near Moran Dome in the Tanana B-6 and Melozitna B-1 quadrangles. The project area is of historical and current interest for the potential development of mineral resources. The data are available from the DGGS website: http://doi.org/10.14509/31016.

Tags: age dates, amphibolite, analyses, apatite, aplite, ar-ar, bedrock, bluebell creek, blueschist, conglomerate, cretaceous, devonian, dggs, dike, diorite, exploration, gabbro, gay creek, geochronology, geologic, geology, gneiss, gold, gold hill, granite, grant creek, grant dome, greenschist, grimm creek, hornblende, hot springs creek, igneous, illinois creek, interpretation, intrusive, isotopes, kokrines hills, melozimoran creek, metamorphic, metamorphic rocks, metamorphism, methods, mica, mineral composition, mineral development, mineral exploration, mineralogy, minerals, mining, mississippian, monday creek, moran creek, moran dome, muscovite, orthogneiss, paleozoic, porphyry, provenance, quartz, quartzite, ravine creek, resources, rhyolite, rocks, ruby terrane, schist, slate creek, spruce creek, terranes, tozimoran creek, tozitna terrane, u-pb, uranium, webories creek, wells creek, wrongtrail creek, zircon
Organization: State of Alaska
MDE Environmental Justice Screening Tool

The goal of this tool is to provide users with demographic and socioeconomic data coupled with Maryland Department of the Environment (MDE) specific elements such as proximity to dams or wastewater treatment facilities. MDE will be using this tool to inform siting, permitting, enforcement and infrastructure improvements to help underserved and overburdened communities in Maryland. This tool was developed in relation to the Climate Solutions Now Act of 2022 and the Biden Administration's Justice40 initiative.

Tags: environment, environmental-justice, justice
Organization: State of Maryland
1.18 Kid Zone Participation (dashboard)

<span style='margin:0px; padding:0px; font-kerning:none;'><span style='margin:0px; padding:0px;'>This operations dashboard shows historic and current data related to this performance measure. </span></span><span style='margin:0px; padding:0px;'> </span><div><span style='margin:0px; padding:0px;'><br /></span></div><div><span style='margin:0px; padding:0px;'><p style='margin: 0in 0in 0.0001pt;'>The performance measure dashboard is available at <a href='https://safe-and-secure-communities-tempegov.hub.arcgis.com/pages/kid-zone-participation' target='_blank' rel='nofollow ugc noopener noreferrer'>1.18 Kid Zone Participation</a>.</p><p style='margin: 0in 0in 0.0001pt;'> </p><p style='margin: 0in 0in 0.0001pt;'><a href='https://gis.tempe.gov/design/data-dictionary/1.18%20Kid%20Zone%20Participation%20Citywide%20(summary)/' style='' target='_blank' rel='nofollow ugc noopener noreferrer'>Data Dictionary</a><br /></p></span></div>

Tags: kid-zone, kid-zone-participation-pm-1-18, safe-and-secure-communities
Organization: City of Tempe
Calls for Service (2020 - Present)

<p>The Calls for Service dataset includes police service requests for which patrol officers, traffic officers, bike officers and, on occasion, detectives will be dispatched to public safety response. It also includes self-initiated calls for service where an officer witnesses a violation or suspicious activity for which they would respond.</p><p><a href='mailto:data@tempe.gov' target='_blank' rel='nofollow ugc noopener noreferrer'>Contact E-mail</a><br /></p><p>Data Source: Versaterm Informix RMS<br /></p><p>Data Source Type: Informix and/or SQL Server</p><p>Preparation Method: Preparation Method: Automated View pulled from CADWSQL (SQL Server) and duplicated on the GIS Server</p><p>Publish Frequency: Weekly</p><p>Publish Method: Automatic</p><p><a href='https://gis.tempe.gov/cfs-dictionary' rel='nofollow ugc'>Data Dictionary</a></p><p>For prior reporting period datasets, see:</p><p><b>2012-2015</b></p><p><a href='https://tempegov.maps.arcgis.com/home/item.html?id=ca69de49b1644f4088b681fbf4e1bb69' target='_blank' rel='nofollow ugc noopener noreferrer'>https://tempegov.maps.arcgis.com/home/item.html?id=ca69de49b1644f4088b681fbf4e1bb69</a></p><p><b>2016-2019</b><br /></p><p><a href='https://tempegov.maps.arcgis.com/home/item.html?id=141e7069563b4fecae1d868bf95ed0db' target='_blank' rel='nofollow ugc noopener noreferrer'>https://tempegov.maps.arcgis.com/home/item.html?id=141e7069563b4fecae1d868bf95ed0db</a><br /></p>

Tags: calls-for-service, open-data, police-department, public-safety, transparency
Organization: City of Tempe
Data Description for ORD-055921

This dataset contains data on epigenetic aging variables, medium and long-term air temperature exposure, and relevant confounders as described in the associated manuscript. This dataset is not publicly accessible because: This data is from a project in which the EPA participated in only an advisory role. The EPA does not own or possess this data. It can be accessed through the following means: The data can be accessed by making a request to Dr. Wenli Ni, the corresponding author for the manuscript. Format: The data is in text files stored in common formats (.csv, .txt). Observations are represented as rows with variables (including the outcome, exposure, and all confounders) represented as columns. 

This dataset is associated with the following publication:
Ni, W., N. Nikolaou, C. Ward-Caviness, S.  Breitner, K. Wolf, S. Zhang, R. Wilson, M. Waldenberger, A. Peters, and A. Schneider. Associations between medium- and long-term exposure to air temperature and epigenetic age acceleration.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 178: 108109, (2023).

Tags: aging, air-temperature, epigenetic-aging, heat
Organization: U.S. Environmental Protection Agency
Data to support Reactive organic carbon air emissions from mobile sources in the United States

This data were used to generate the figures in the peer-reviewed publication "Reactive organic carbon air emissions from mobile sources in the United States" published by Atmospheric Chemistry and Physics in 2023. 

The data were produced by analyses of the Motor Vehicle Emissions Simulator (MOVES) and the Community Multiscale Air Quality (CMAQ) model, both developed by EPA (OTAQ and ORD respectively). The analysis focuses on the impact of adjustments to national-level mobile source emissions when considering artifacts from filter measurements and inclusion of intermediate volatility organic compounds which are potent precursors of particulate matter.

Tags: cmaq, equates, mobile-emissions, moves, nitrogen-and-co-pollutants, nmog, pm, pm-filter-artifacts, poa, reactive-organic-carbon, soa, voc
Organization: U.S. Environmental Protection Agency
COVID-19 Updated Vaccines Distributed

This site provides historical data beginning June 14, 2023, for the visualization presented on <a href="https://covid.cdc.gov/covid-data-tracker/#vaccinations">COVID-19 Data Tracker’s “Vaccinations in the United States" </a> site titled “US COVID-19 Vaccine Doses Delivered by Vaccine Type”

<b>Definition for Distributed: </b>
Cumulative number of COVID-19 updated vaccine doses distributed in the United States.
CDC is no longer reporting metrics for Johnson & Johnson, and the original Pfizer and Moderna vaccines.

Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.

Tags: administration, coronavirus, covid-19, immunization, izdl, report-date, vaccination
Organization: U.S. Department of Health & Human Services
Conterminous US modeled stream channel widths and depths

The data were generated by modeling wetted width, thalweg depth, bankfull width, and bankfull depth measurements from the USEPA's National Rivers and Streams Assessments. Models were developed with StreamCat data (https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset-0) as predictor variables in random forest models. Models were then applied to perennial NHDPlus (version 2.1) stream segments to produce 1.1 million estimated values across the conterminous US. The data, upon publication of the companion journal article, will be also distributed as part of the StreamCat dataset. 

This dataset is associated with the following publication:
Doyle, J., R. Hill, S. Leibowitz, and J. Ebersole. Random forest models to estimate bankfull and low flow channel widths and depths across the conterminous United States.   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 59(5): 1099-1114, (2023).

Tags: bankfull-depth, bankfull-width, national-hydrography-dataset-plus-nhdplus, national-rivers-and-streams-assessment, random-forest-modeling, streamcat, thalweg-depth, wetted-width
Organization: U.S. Environmental Protection Agency
Impact of Co-disposal with Ash

Data used in the manuscript to creat the tables and figures. 

This dataset is associated with the following publication:
Liu, Y., P. Mendoza-Perilla, K. Clavier, T. Tolaymat, J. Bowden, H. Solo-Gabriele, and T. Townsend. Municipal solid waste incineration (MSWI) ash co-disposal: Influence on per- and polyfluoroalkyl substances (PFAS) concentration in landfill leachate.   WASTE MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 144(1): 49-56, (2022).

Tags: bottom-ash, coal-refuse-disposal-pile, pfas
Organization: U.S. Environmental Protection Agency
COVID-19 Vaccines Up to Date Status

This site provides historical data beginning June 14, 2023, for the visualization presented on <a href="https://covid.cdc.gov/covid-data-tracker/#vaccinations">COVID-19 Data Tracker’s “Vaccinations in the United States</a>” site titled “Percent of Total Population Who Are Up to Date with COVID-19 Vaccines”

<b>Definition for Up to Date:
For surveillance purposes people are ‘Upto Date’ with COVID-19 vaccines based on the following criteria:</b>

People ages 6 years and older: Are up to date if they received 1 updated Pfizer-BioNTech or Moderna COVID-19 vaccine. 

Children ages 6 months to 5 years who received the Pfizer-BioNTech COVID-19 vaccine: Are up to date if: At ages 6 months to 4 years, they received 3 COVID-19 vaccine doses, including at least 1 updated COVID-19 dose; at age 5 years, they received at least 1 updated COVID-19 vaccine dose. 

Children ages 6 months to 5 years who received the Moderna COVID-19 vaccine: Are up to date if they received 2 Moderna COVID-19 vaccine doses, including at least 1 updated COVID-19 vaccine dose. 

People who are unable or choose not to get a recommended mRNA vaccine: Are up to date if they receive the Novavax COVID-19 vaccine doses approved for their age group.

CDC uses US Census estimates for the total populations within each specified demographic group regardless of prior vaccination status as denominators. 

Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.

Tags: administration, age, coronavirus, covid-19, immunization, izdl, vaccination
Organization: U.S. Department of Health & Human Services
MSX Nicotine modeling

Model input data in InputData.xls.
Table and figure data in stored_results.xls. 

This dataset is associated with the following publication:
Burkhardt, J., B. Burkhart, and F. Shang. Modeling Nicotine-Induced Chlorine Loss in Drinking Water Using Updated EPANET-MSX.   JOURNAL OF ENVIRONMENTAL ENGINEERING. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 149(12): 04023086, (2023).

Tags: dispersion, drinking-water-distribution-system, epanet, water-quality
Organization: U.S. Environmental Protection Agency