AndreaBozzo/ceres-open-data-index huggingface dataset:
Series Information for the 2019 Region for United States KML

The 2019 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.
                
                Regions are four groupings of states (Northeast, South, Midwest, and West) established by the Census Bureau in 1942 for the presentation of census data. Regions are availiable at the 1:5,000,000, 1:2,0000,000 and 1:500,000 scales

Tags: 2019, boundaries, cartographic boundary, generalized, kml, region, u.s, united sates, united states, us
Organization: U.S. Census Bureau, Department of Commerce
Saunders et al_IVIVE paper_Science Hub_entry_08142020

The purpose of is this study was to evaluate the potential for biotransformation in the gastrointestinal tissues (GIT) of fish to impact chemical bioaccumulation.  In vitro biotransformation of two polycyclic aromatic hydrocarbons, pyrene (PYR) and benzo[a]pyrene (BAP), and two organic sunscreen agents, 2-ethylhexyl-4-methoxycinnamate (EHMC) and octocrylene (OCT), was measured using S9 fractions isolated from liver tissue and tissues of the upper GIT in rainbow trout.  For PYR, BAP, and EHMC, activity was substantially higher in liver S9 fractions than in GIT S9 fractions.  For OCT, activity was highest in GIT S9 fractions.  An existing in vitro-in vivo extrapolation (IVIVE) model for fish, which yields a whole-animal biotransformation rate constant (kMET), was expanded to consider biotransformation in the GIT.  The kMET values obtained using measured rates of in vitro activity (liver and GIT) were in good agreement with kMET values measured in controlled in vivo experiments, providing strong support for the IVIVE approach.  Moreover, inclusion of GIT activity into the model prediction for OCT resulted in much better agreement with the empirical kMET estimate than was obtained using a ‘liver only’ model.  These findings suggest that current ‘liver only’ approaches to IVIVE modeling may underestimate in vivo whole-animal biotransformation rates for chemicals that undergo substantial biotransformation in the GIT.  Thus, failure to consider biotransformation in the GIT may lead to overestimation of true levels of bioaccumulation. 

This dataset is associated with the following publication:
Saunders, L., P. Fitzsimmons, J. Nichols, and F. Gobas. In vitro-in vivo extrapolation of hepatic and gastrointestinal biotrasnformation rates of hydrophobic chemicals in rainbow trout.   AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 228: 1-12, (2020).

Tags: animal-alternatives, bioaccumulation, biotransformation, in-vitro-in-vivo-extrapolation, intestinal-biotransformation, rainbow-trout
Organization: U.S. Environmental Protection Agency
European flounder larvae stable isotope study

Location and date associated with carbon and nitrogen stable isotope ratios of European flounder larvae and potential sources of organic matter supporting their diet, as well as outputs of the stable isotope mixing model to quantify the diet contributions from the various sources of organic matter. 

This dataset is associated with the following publication:
Dias, E., A.G. Barros, J. Hoffman, C. Antunes, and P. Morais. Habitat use and food sources of European flounder larvae across an estuarine gradient.   Regional Studies in Marine Science. Elsevier B.V., Amsterdam,  NETHERLANDS, 34: 101196, (2020).

Tags: estuaries, nursery, platichthys-flesus, recruitment, stable-isotopes
Organization: U.S. Environmental Protection Agency
usercomments.xlsx

These data were exported from Deep Lake Explorer and include all comments made by volunteers on Deep Lake Explorer's Talk forum prior to 9/12/2019. A data dictionary is included as a separate sheet within this spreadsheet. See R script for data analysis. 

This dataset is associated with the following publication:
Wick, M., T. Angradi, M. Pawlowski, D. Bolgrien, R. Debbout, J. Launspach, and M. Nord. Deep Lake Explorer: A web application for crowdsourcing the classification of benthic underwater video from the Laurentian Great Lakes.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 46(5): 1469-1478, (2020).

Tags: benthos, citizen-science, crowdsourcing, dreissena, great-lakes, round-goby, underwater-video
Organization: U.S. Environmental Protection Agency
sitenamewithdrops.xlsx

This sheet correlates the subject_id (assigned by Zooniverse) to the SiteID, Video filename and DropSiteID. See R script for analysis. 

This dataset is associated with the following publication:
Wick, M., T. Angradi, M. Pawlowski, D. Bolgrien, R. Debbout, J. Launspach, and M. Nord. Deep Lake Explorer: A web application for crowdsourcing the classification of benthic underwater video from the Laurentian Great Lakes.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 46(5): 1469-1478, (2020).

Tags: benthos, citizen-science, crowdsourcing, dreissena, great-lakes, round-goby, underwater-video
Organization: U.S. Environmental Protection Agency
phase-ii-classifications.xlsx

This file contains the individual classifications done by users on Zooniverse for the video clip subjects. Metadata is in the file as a separate spreadsheet. See R script for data analysis. 

This dataset is associated with the following publication:
Wick, M., T. Angradi, M. Pawlowski, D. Bolgrien, R. Debbout, J. Launspach, and M. Nord. Deep Lake Explorer: A web application for crowdsourcing the classification of benthic underwater video from the Laurentian Great Lakes.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 46(5): 1469-1478, (2020).

Tags: benthos, citizen-science, crowdsourcing, dreissena, great-lakes, round-goby, underwater-video
Organization: U.S. Environmental Protection Agency
All CSMI data for 2006, 2011, and 2016 needed for paper

This dataset provides zooplankton density and biomass information for each station visited during the three past Lake Superior CSMI surveys summarized by major taxonomic groups.  Also included is the design weights for the surveys, which allow you to do the various statistical tests that we did in the paper. 

This dataset is associated with the following publication:
Pawlowski, M., and M. Sierszen. A lake-wide approach for large lake zooplankton monitoring: Results from the 2006–2016 Lake Superior Cooperative Science and Monitoring
Initiative surveys.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 46(4): 1015-1027, (2020).

Tags: cooperative-science-and-monitoring-initiative, great-lakes, lake-superior, probability-based-sampling, zooplankton
Organization: U.S. Environmental Protection Agency
deep-lake-explorer-subjects.xlsx

These data were exported from Deep Lake Explorer and include metadata about the subjects (video clips) analyzed in DLE. A data dictionary is included as a separate sheet within this spreadsheet. See R script for data analysis. 

This dataset is associated with the following publication:
Wick, M., T. Angradi, M. Pawlowski, D. Bolgrien, R. Debbout, J. Launspach, and M. Nord. Deep Lake Explorer: A web application for crowdsourcing the classification of benthic underwater video from the Laurentian Great Lakes.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 46(5): 1469-1478, (2020).

Tags: benthos, citizen-science, crowdsourcing, dreissena, great-lakes, round-goby, underwater-video
Organization: U.S. Environmental Protection Agency
R script

This file includes an annotated R script used for data analysis for this project. Data files called in this script are also uploaded. Annotations within the script equate to metadata. 

This dataset is associated with the following publication:
Wick, M., T. Angradi, M. Pawlowski, D. Bolgrien, R. Debbout, J. Launspach, and M. Nord. Deep Lake Explorer: A web application for crowdsourcing the classification of benthic underwater video from the Laurentian Great Lakes.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 46(5): 1469-1478, (2020).

Tags: benthos, citizen-science, crowdsourcing, dreissena, great-lakes, round-goby, underwater-video
Organization: U.S. Environmental Protection Agency
Watershed modeling and MODIS data integration

Watershed modeling and MODIS data integration. This dataset is not publicly accessible because: Data is property of Texas A&M University Kingsville. It can be accessed through the following means: Contact Dr. Adnan Rajib, Texas A&M University, Kingsville. Format: Excel spreadsheet. 

This dataset is associated with the following publication:
Rajib, A., I.L. Kim, H. Golden, C. Lane, S. Kumar, Z. Yu, and S. Jeyalakshmi. Watershed Modeling with Remotely Sensed Big Data: MODIS Leaf Area Index Improves Hydrology and Water Quality Predictions.   Remote Sensing. MDPI AG, Basel,  SWITZERLAND, 12(13): 2148, (2020).

Tags: hydrology, leaf-area-index, remote-sensing, watershed-modeling
Organization: U.S. Environmental Protection Agency
SARS-CoV-2 decay

Decay rates of SARS-CoV-2 and murine hepatitis virus. This dataset is not publicly accessible because: Data is property of CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, Dutton Park, QLD 4102, Australia. It can be accessed through the following means: Contact Warish Ahmed (Warish.Ahmed@csiro.au). Format: No public link available. Data will be in an ecel format. 

This dataset is associated with the following publication:
Ahmed, W., P.M. Bertsch, K. Bibby, E. Haramoto, J. Hewitt, F. Huygens, P. Gyawali, A. Korajkic, S. Riddell, S.P. Sherchan, S.L. Simpson, K. Sirikanchana, E.M. Symonds, R. Verhagen, S.S. Vasan, M. Kitajima, and A. Bivins. Decay of SARS-CoV-2 and surrogate murine hepatitis virus RNA in untreated wastewater to inform application in wastewater-based epidemiology.   ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam,  NETHERLANDS, 191: 110092, (2020).

Tags: decay, mhv, sars-cov-2, wastewater
Organization: U.S. Environmental Protection Agency
A Spatio-Temporal Modeling Approach to Forecasting High-Risk Freshwater Cyanobacterial Harmful Algal Blooms in Florida

Data support the publication "Spatio-Temporal Modeling For Forecasting High-Risk Freshwater Cyanobacterial Harmful Algal Blooms in Florida". 

This dataset is associated with the following publication:
Myer, M., E. Urquhart, B. Schaeffer, and J. Johnston. Spatio-Temporal Modeling for Forecasting High-Risk Freshwater Cyanobacterial Harmful Algal Blooms in Florida.   Frontiers in Environmental Science. Frontiers, Lausanne,  SWITZERLAND, 8: 581091, (2020).

Tags: arboviral, bayesian, cyanobacterial-bloom, spatiotemporal, vector-borne-disease, west-nile
Organization: U.S. Environmental Protection Agency
2019 Manuscript Data

Formaldehyde air concentration data and decontamination efficacy data from controlled laboratory studies. 

This dataset is associated with the following publications:
Choi, Y., M. Sunderman, M. McCauley, Z. Willenberg, J. Wood, S. Serre, L. Mickelsen, S. Willison, R. Rupert, J. Muniz-Ortiz, S. Casey, and W. Calfee. Formaldehyde Vapor Characteristics in Varied Decontamination Environments.   Applied Biosafety. SAGE Publications, THOUSAND OAKS, CA, USA, 25(2): 24, (2020).
Choi, Y., M. Sunderman, M. McCauley, W. Richter, Z. Willenberg, J. Wood, S. Serre, L. Mickelsen, S. Willison, R. Rupert, J. Muniz-Ortiz, S. Casey, and W. Calfee. Decontamination of Bacillus Spores with Formaldehyde Vapor under Varied Environmental Conditions.   JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 25(2): 14, (2020).

Tags: bacillus-anthracis, decontamination, formaldehyde, formalin
Organization: U.S. Environmental Protection Agency
Nelms_In Silico Guidance_In Vitro ToxCast Assays

The US EPA Toxicity Forecasting (ToxCast) project has involved the generation of large amount of high throughput in vitro data (Over 4000 chemicals tested in between 100 and 700 assays). This data is generated in a consistent manner, and includes a wide variety of chemicals including industrial and consumer products, food additives, pesticides, and drugs. These chemicals were not chosen because they were expected to be active, resulting in a database containing a balance of positive and negative data points. As such this data is useful for computational model construction. This in vitro data has been used at the EPA and elsewhere in modelling approaches, including computational modelling for specific target binding as biological descriptors for toxicity prediction, and pharmacokinetic modelling of human dose responses. All analyses in the generation of the burst flag hit-call matrix and extraction of chemicals for the targets in this study (AR and GR) were performed using R v3.1.2. 

This dataset is associated with the following publication:
Allen, T.E., M.D. Nelms, S.W. Edwards, J.M. Goodman, S. Gutsell, and P.J. Russell. In Silico Guidance for In Vitro Androgen and Glucocorticoid Receptor ToxCast Assays.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 54(12): 7461-7470, (2020).

Tags: adverse-outcome-pathway, dsstox, molecular-initiating-event, structural-alert, structure-activity-relationship-sar, toxcast-database
Organization: U.S. Environmental Protection Agency
TIGER/Line Shapefile, 2014,Series Information for the Current American Indian Tribal Subdivision (AITS) National Shapefile

 American Indian tribal subdivisions are administrative subdivisions of federally recognized American Indian
               reservations/off-reservation trust lands or Oklahoma tribal statistical areas (OTSAs). These entities are internal units of self-government
               and/or administration that serve social, cultural, and/or economic purposes for the American Indian tribe or tribes on the reservations/off-reservation
               trust lands or OTSAs. The Census Bureau obtains the boundary and attribute information for tribal subdivisions on federally recognized American Indian
               reservations and off-reservation trust lands from federally recognized tribal governments through the Census Bureau's Boundary and Annexation Survey
               (BAS) For the 2010 Census, the boundaries for tribal subdivisions on OTSAs were also obtained from federally recognized tribal governments through the
               Tribal Statistical Areas Program (TSAP). Note that tribal subdivisions do not exist on all reservations/off-reservation trust lands or OTSAs, rather only
               where they were submitted to the Census Bureau by the federally recognized tribal government for that area. The boundaries for American Indian tribal
               subdivisions are as of January 1, 2013, as reported by the federally recognized tribal governments through the Census Bureau's Boundary and Annexation
               Survey (BAS). The boundaries for tribal subdivisions on OTSAs are those reported as of January 1, 2010 through TSAP.

Tags: aia, air, american indian area, american indian reservation, boundaries, nation, polygon, tribal subdivision, u.s., united states
Organization: U.S. Census Bureau, Department of Commerce
2019 Cartographic Boundary Shapefile, Current Subbarrio for Puerto Rico, 1:500,000

The 2019 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

For the 2010 Census, subMCDs only exist in Puerto Rico. In Puerto Rico the subMCDs are termed subbarrios and are legally defined subdivisions of the minor civil division (MCD) named barrios-pueblo and barrios. The boundaries of the subbarrios are as of January 1, 2010 and were provided to the Census Bureau by the Puerto Rico Planning Board.

Tags: 2019, boundaries, cartographic boundary, county, county subdivision, generalized, pr, puerto rico, shp, subminor civil division
Organization: U.S. Census Bureau, Department of Commerce
2019 Cartographic Boundary Shapefile, 2010 Urban Areas for United States, 1:500,000

The 2019 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the "urban footprint." There are two types of urban areas: urbanized areas (UAs) that contain 50,000 or more people and urban clusters (UCs) that contain at least 2,500 people, but fewer than 50,000 people (except in the U.S. Virgin Islands and Guam which each contain urban clusters with populations greater than 50,000). Each urban area is identified by a 5-character numeric census code that may contain leading zeroes.

Tags: 2019, boundaries, cartographic boundary, generalized, shp, ua, uc, united states, urban area, urban cluster, urbanized area, us
Organization: U.S. Census Bureau, Department of Commerce
Public Papers of the Presidents of the United States in XML - Obama 2010

The Public Papers of the Presidents, which is compiled and published by the Office of the Federal Register, National Archives and Records Administration, began in 1957 in response to a recommendation of the National Historical Publications Commission. Noting the lack of uniform compilations of messages and papers of the Presidents before this time, the Commission recommended the establishment of an official series in which Presidential writings, addresses, and remarks of a public nature could be made available.

Tags: checklist-of-white-house-press-releases, commencement-address, digest-of-other-white-house-announcements, exchange-with-reporters, inaugural-address, interview, joint-statement, letter, letter-to-the-speaker-of-the-house-of-representatives, memorandum, message, message-to-the-congress, nara, national-archives, news-conference, nominations-submitted-to-the-senate, office-of-the-federal-register, president, president-s-address-before-a-joint-session-of-congress-on-the-state-of-the-union, presidential, presidential-documents-published-in-the-federal-register, public-papers, question-and-answer-session, remarks, statement, statement-on-signing, weekly-address
Organization: National Archives and Records Administration
Founders Online Metadata

CORRESPONDENCE AND OTHER WRITINGS OF SIX MAJOR SHAPERS OF THE UNITED STATES:
George Washington, Benjamin Franklin, John Adams (and family), Thomas Jefferson, Alexander Hamilton, and James Madison. Over 180,000 searchable documents, fully annotated, from the authoritative Founding Fathers Papers projects.

Tags: alexander-hamilton, benjamin-franklin, george-washington, james-madison, john-adams, thomas-jefferson
Organization: National Archives and Records Administration
General Records Schedules (GRS)

The General Records Schedules (GRS) are issued by the Archivist of the United States to provide agencies with disposition authority for records common to several or all Federal Government agencies. These schedules authorize (36 CFR 1227.10), after specified periods of time, the destruction of temporary records or the transfer of permanent records to the National Archives of the United States (NARA). “The GRS” refers to the entire set of schedules, but “GRS” is also commonly used to refer to a single schedule within the whole.

The data is 45 comma-separated values (CSV) files, one for each schedule in GRS Transmittal 30 (December 2019), plus a data dictionary listing the fields exported from ERA, and a brief feedback survey.

Tags: 36-cfr-1227-10, destruction-of-temporary-records, disposition-authority, general-records-schedule, general-records-schedules, grs, transfer-of-permanent-records
Organization: National Archives and Records Administration
Presidential Proclamations from 1994-Present

The President of the United States manages the operations of the Executive branch of Government through Executive orders. After the President signs an Executive order, the White House sends it to the Office of the Federal Register (OFR). The OFR numbers each order consecutively as part of a series, and publishes it in the daily Federal Register shortly after receipt.

Tags: executive-orders-government-president-white-house-barack-obama-george-w-bush-william-j-clinton
Organization: National Archives and Records Administration
Federal Register in XML

The Federal Register is the official daily publication for rules, proposed rules, and notices of Federal agencies and organizations, as well as executive orders and other presidential documents. Published by the Office of the Federal Register (OFR), National Archives and Records Administration (NARA), it is updated daily and is available Monday through Friday, except Federal holidays. GPO's Government Information System (govinfo) contains Federal Register issues from 1936 to the present. The current XML data set is not yet an official format of the Federal Register. The XML-structured files are derived from SGML-tagged data and printing codes, which may produce anomalies in display. In addition, the XML data does not yet include image files. Users who require a higher level of assurance may wish to consult the official version of the Federal Register on <a href="https://www.govinfo.gov/app/collection/fr/1936">govinfo.gov</a> or  <a href="https://www.federalregister.gov">federalregister.gov</a>. The govinfo data set includes digitally signed Federal Register PDF files, which may be relied upon as evidence in a court of law.

Tags: directives, guidelines, meetings, nara, national-archives, national-archives-and-records-administration, notices, office-of-the-federal-register, ofr, presidential-executive-orders-and-proclamations, proposed-rules, regulations, rule-makings, rules
Organization: National Archives and Records Administration