AndreaBozzo/ceres-open-data-index huggingface dataset:
Learning beyond Fifteen Ten Years after PISA

This report focuses on the development of reading proficiency during the transition from adolescence to early adulthood. The span of time between the ages of 15 and 24 is a critical period of development for young people. Once compulsory education is completed, individual decisions about post-secondary education, employment and other life choices have to be made with major consequences for future learning and employment outcomes. A good foundation in reading proficiency facilitates success in specialised education during higher education or during job-related training. Since reading proficiency is not the goal of such specialised or professional learning, reading skills may begin to atrophy. So both learning gains and losses need to be considered as human capital is developed.   Canada’s investments in PISA, as well as in longitudinal data and reassessment of reading proficiency, provides insights into the importance of individual reading proficiency and later outcomes, such as educational attainment, further learning, employment and earnings. Therefore, this report makes a vital contribution to the understanding of learning gains between the ages of 15 and 24 and their impact on such outcomes, and provides a basis for evidence-based policy and strategic investments by the community of countries participating in PISA

Tags: __
Organization: Department of State
Fed. Data Center Consolidation Initiative (FDCCI) Data Center Closings 2010-2015

Posted quarterly, using FDCCI Task Force data reported to OMB through the quarterly Integrated Data Collection (IDC) deadline. Federal Data Center Consolidation Initiative (FDCCI) Data Center Closures 2010-2015. Under the FDDCI, agencies have categorized their agency data center populations into two categories: core and non-core. The government is closing 40% of agency-identified, non-­core data centers, while optimizing agency-identified core-data centers, according to a series of total cost of ownership metrics (see OMB M-13-09 and OMB M-14-08). This dataset reflects information only for agency-identified, non-core closures. All questions or inquiries should be directed to the specific agencies. The FY2010 through FY2015 dataset provides a list of planned or closed data centers by agency and by city/state location since the FDCCI started. Please note ?OTHER? is listed for data centers in cloud, co-located or managed service data centers, where square footage is unavailable. See related information about the FDCCI, including the definition of a data center and other FAQs at http://cio.gov/fdcci.

Tags: consolidation, fddci, federal-data-center-consolidation-initiative
Organization: General Services Administration
Energy Usage Analysis System

The EUAS application is a web based system which serves Energy Center of Expertise, under the Office of Facilitates Management and Service Programs.  EUAS is used for tracking energy details for various energy sources namely electricity, natural gas, oil, chilled water, steam and renewable energy.

Tags: analysis, chilled-water, electricity, energy-usage, natural-gas, oil, steam-and-renewable-energy, utilities
Organization: General Services Administration
DeMarini et al., 2021 Mutagenicity Data Set - I-THMs

Mutagenicity data for iodinated trihalomethane compounds. 

This dataset is associated with the following publication:
DeMarini, D., S. Warren, W. Smith, S. Richardson, and H. Liberatore. Inability of GSTT1 to Activate Iodinated Halomethanes to Mutagens in Salmonella.   ENVIRONMENTAL AND MOLECULAR MUTAGENESIS. John Wiley & Sons, Inc, Hoboken, NJ, USA, 62(3): 168-176, (2021).

Tags: dbps, disinfection-by-products, drinking-water, gstt1, mutagenicity
Organization: U.S. Environmental Protection Agency
Stream water isotope data from the Snoqualmie River Basin 2017-2018, and related watershed information

Water stable isotope data (both hydrogen and oxygen isotopes of H2O) from the Snoqualmie River Basin from 2017-2018.  This data was paired with USGS gauge data so includes watershed characteristics at the gaging stations near where water isotopes were collected.  Water isotopes were collected throughout the basin to cover the range of elevation and stream sizes.  Water isotopes were collected 5 times at all locations, and approximately twice monthly at the main stem of the Snoqualmie and larger tributaries. 

This dataset is associated with the following publication:
McGill, L., J.R. Brooks, and A. Steel. Spatial and temporal dynamics of water sources in a mountain river basin inferred through δ2H and δ18O of water.   Hydrological Processes. John Wiley & Sons, Ltd., Indianapolis, IN, USA, 35(3): e14063, (2021).

Tags: climate-change, geology, river-flow, stable-isotopes, water-resources, water-supply
Organization: U.S. Environmental Protection Agency
Case Histories of GPR for Animal Burrows Mapping and Geometry

Geophysical ground penetrating radar data. This dataset is not publicly accessible because: The data is controlled by Kutztown University (PA). It can be accessed through the following means: The first author, Laura Sherrod, can be contactec for access to the data. Format: Geophysical ground penetrating radar data. 

This dataset is associated with the following publication:
Sherrod, L., W. Sauck, E. Simpson, D. Werkema, and J. Swiontek. Case Histories of GPR for Animal Burrows Mapping and Geometry.   JOURNAL OF ENVIRONMENTAL AND ENGINEERING GEOPHYSICS. Environmental and Engineering Geophysical Society, Denver, CO, USA, 24(1): 1-17, (2019).

Tags: animal-burrows, geophysics, gpr, hazards
Organization: U.S. Environmental Protection Agency
Fractured Rock Geophysics Method Selection Tool Software

This software was developed in collaboration with the USGS. This dataset is not publicly accessible because: Because there is no data. It can be accessed through the following means: NA. Format: No dataset.  This product is software. 

This dataset is associated with the following publication:
Day-Lewis, F., L. Slater, J. Robinson, C. Johnson, N. Terry, and D. Werkema. An overview of geophysical technologies appropriate for characterization and monitoring at fractured-rock sites.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 204(2): 709-720, (2017).

Tags: characterization, field-methods, fractured-rock, geophysics, hydrogeophysics
Organization: U.S. Environmental Protection Agency
Burrow Geometry and Hazards: Case Histories of GPR for Mapping Animal Burrows

The data are GPR records. This dataset is not publicly accessible because: lead author has the data. It can be accessed through the following means: via the lead author. Format: Data were no EPA-generated and are with the lead author from Kutztown University, PA. 

This dataset is associated with the following publication:
Sherrod, L., W. Sauck, E. Simpson, D. Werkema, and J. Swiontek. Case Histories of GPR for Animal Burrows Mapping and Geometry.   JOURNAL OF ENVIRONMENTAL AND ENGINEERING GEOPHYSICS. Environmental and Engineering Geophysical Society, Denver, CO, USA, 24(1): 1-17, (2019).

Tags: animal-burrows, geometry-and-hazards, geophysics, gpr
Organization: U.S. Environmental Protection Agency
Genome Sequence Data Set02

The Whole Genome Shotgun project has been deposited in DDBJ/ENA/GenBank under the BioProject PRJNA487286 with the following accession numbers CP061840 (chromosome) and CP061841 (plasmid). The raw sequence reads have been submitted to the NCBI SRA under the accession numbers SRR13076822 and SRR13076823. 

This dataset is associated with the following publication:
Gomez-Alvarez, V., L. Boczek, I. Raffenberg, and R. Revetta. Closed Genome and Plasmid Sequences of Legionella pneumophila AW-13-4, Isolated from a Hot Water Loop System of a Large Occupational Building.   Microbiology Resource Announcements. American Society for Microbiology, Washington, DC, USA, 10(1): e01276-20, (2021).

Tags: buildings, drinking-water, drinking-water-distribution-system, legionella, microbial-analysis, premise-plumbing, waterbiome
Organization: U.S. Environmental Protection Agency
De Facto  Water Reuse: Bioassay suite approach delivers depth and breadth in endocrine active compound detection

Although endocrine disrupting compounds have been detected in wastewater and surface waters worldwide using a variety of in vitro effects-based screening tools, e.g. bioassays, few have examined potential attenuation of environmental contaminants by both natural (sorption, degradation, etc.) and anthropogenic (water treatment practices) processes. This study used several bioassays and quantitative chemical analyses to assess residence-time weighted samples at six sites along a river in the northeastern United States beginning upstream from a wastewater treatment plant outfall and proceeding downstream along the stream reach to a drinking water treatment plant. Known steroidal estrogens were quantified and changes in signaling pathway molecular initiating events (activation of estrogen, androgen, glucocorticoid, peroxisome proliferator-activated, pregnane X receptor, and aryl hydrocarbon receptor signaling networks) were identified in water extracts. In initial multi-endpoint assays geographic and receptor-specific endocrine activity patterns in transcription factor signatures and nuclear receptor activation were discovered. In subsequent single endpoint receptor-specific bioassays, estrogen (16 of 18 samples; 0.01 to 28 ng estradiol equivalents [E2Eqs]/L) glucocorticoid (3 of 18 samples; 1.8 to 21 ng dexamethasone equivalents [DexEqs]/L), and androgen (2 of 18 samples; 0.95 to 2.1 ng dihydrotestosterone equivalents [DHTEqs]/L) receptor transcriptional activation occurred above respective assay method detection limits (0.04 ng E2Eqs/L, 1.2 ng DexEqs/L, and 0.77 ng DHTEqs/L) in multiple sampling events. Estrogen activity, the most often detected, correlated well with measured concentrations of known steroidal estrogens (r2 = 0.890). Overall, activity indicative of multiple types of endocrine active compounds was highest in wastewater effluent samples, while activity downstream was progressively lower, and negligible in unfinished treated drinking water. Not only was estrogenic and glucocorticoid activity confirmed in the effluent by utilizing multiple methods concurrently, but other activated signaling networks that historically received less attention (i.e. peroxisome proliferator-activated receptor) were also detected. 

This dataset is associated with the following publication:
Medlock Kakaley, E., B. Blackwell, M. Cardon, J. Conley, N. Evans, D. Feifarek, E. Furlong, S. Glassmeyer, L. Gray, P. Hartig, D. Kolpin, M. Mills, L. Rosenblum, D. Villeneuve, and V. Wilson. De Facto Water Reuse: Bioassay suite approach delivers depth and breadth in endocrine active compound detection.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 699(134297): 1, (2020).

Tags: de-facto-reuse, drinking-water, source-water, wastewater
Organization: U.S. Environmental Protection Agency
Cormier, S.M., 2017. Dataset for: A Field-based Model of the Relationship Between Extirpation of Salt-intolerant Benthic Invertebrates and Background Conductivity. USEPA Environmental Dataset Gateway.  https://doi.org/10.23719/1371707

Data sets and individual XCD results used to develop the field-based benchmarks are available at the U.S. EPA Environmental Dataset Gateway (https://doi.org/10.23719/1371707) (Cormier, 2017). Data are contained in three zip files. The folder “Biological.zip” contains occurrences of benthic invertebrate genera in 24 state data sets.  This paper uses only the data from West Virginia ecoregions 69 and 70. The folder “Environmental.zip” contains environmental data sorted into 24 data sets. The folder “model.zip” contains the calculated XC95 values, probability of observation plots as generalized additive models, and the cumulative frequency distribution for benthic invertebrate genera from WV69 and 70 plus data sets used to develop other models not discussed in this paper. 

A spreadsheet for calculating XC95 values and XCD05 is described in Cormier et al. (2018c). The tools, data sets, example calculations, and example outputs are available online at https://wiley.figshare.com/ieam and https://github.com/smcormier/Biological-Extirpation-Analysis-Tools-BEAT/releases/tag/v.1.0.2. Alternatively, calculation of XC95, GAM plots, XCD05 can be calculated using batch R-code. Similarly, the R-code and data sets are available on GitHub (https://github.com/leppott/XC95).



Tags: environmental-benchmarks, field-based, permutation, sample-size, thresholds
Organization: U.S. Environmental Protection Agency
Simultaneous determination of a suite of endogenous steroids by LC-APPI-MS: Application to the identification of endocrine disruptors in aquatic toxicology

A liquid chromatogrpahy mass spectrometry (LC-MS) method was developed for the analysis of 13 endogenous steroids. The method was validated using both fish plasma and fish holding water. The method was applied to the assessment of endocrine disruption by analyzing plasma of fathead minnows exposed to fadrozole, and by analyzing holding water from Japanese medaka exposed to fadrozole. 

This dataset is associated with the following publication:
Blackwell, B., and G. Ankley. Simultaneous determination of a suite of endogenous steroids by LC-APPI-MS: Application to the identification of endocrine disruptors in aquatic toxicology.   Journal of Chromatography B. Elsevier Science Ltd, New York, NY, USA, 1163: 122513, (2021).

Tags: endocrine-disrupting-chemicals, liquid-chromatography-mass-spectrometry, steroids
Organization: U.S. Environmental Protection Agency
Toxoplasma gondii, greenspaces and biomarkers of allostatic load

Residential greenness, biomarkers of chronic stress and allostatic load, demographic and health characteristics, and Toxoplasma gondii serostatus data on 300 individuals. 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: See above. Format: Data are stored in SAS and MS Excel. 

This dataset is associated with the following publication:
Egorov, A., R. Converse, S. Griffin, J. Styles, E. Klein, E. Sams, E. Hudgens, and T. Wade. Environmental risk factors for Toxoplasma Gondii infections and the impact of latent infections on allostatic load in residents of
Central North Carolina.   BMC Infectious Diseases. BioMed Central Ltd, London,  UK, 18(1): 142, (2018).

Tags: allostatic-load, biomarkers, toxoplasma-gondii, vegetated-land-cover
Organization: U.S. Environmental Protection Agency
National Birth Defect Prevention Study Protocol for Public Access and Data Sharing

Protocol for requesting public access to these data via CDC. This dataset is not publicly accessible because: These data include PII, including residential data and birth date. It can be accessed through the following means: These data may be accessed by following the National Birth Defects Prevention Study (NBDPS) Protocol for Public Access and Data Sharing. Format: The data are maintained in Analytic Files by CDC

Tags: air-quality, birth-data, fine-particulate-matter, preterm-birth
Organization: U.S. Environmental Protection Agency
KodavantiP-Acute_HSAB_AOP_Neurotox_Science Hub Data 090319

Neurotox data on in silico predicted chemicals to cause protein adducts in peripheral neurons.  Includes cytotoxicity (LDH release), changes in neuron network architecture using high content imaging and neurophysiology via microelectrode arrays. 

This dataset is associated with the following publication:
Johnstone, A., C. Mack, M. Valdez, T. Shafer, D. Herr, P. Kodavanti, and R. Lo Pachin. Acute In Vitro Effects on Embryonic Rat Dorsal Root Ganglion (DRG) Cultures by In Silico Predicted Neurotoxic Chemicals: Evaluations on Cytotoxicity, Neurite Length, and Neurophysiology..   TOXICOLOGY IN VITRO. Elsevier Science Ltd, New York, NY, USA, 69(104989): 1, (2020).

Tags: aop, cytotoxicity, dorsal-root-ganglion, electrophilicity, microelectrode-array, neurite-length, neuropathy
Organization: U.S. Environmental Protection Agency
Pacific Northwest Salt Marsh Hydrology Model Dataset

This spreadsheet contains the measured and simulated data used in the manuscript 'A Simple, Dynamic, Hydrological Model for Mesotidal Salt Marshes' by D.E. Marois and H.A. Stecher published in Estuarine, Coastal and Shelf Science, Vol 233 (https://doi.org/10.1016/j.ecss.2019.106486). 

This dataset is associated with the following publication:
Marois, D., and J. Stecher. A simple, dynamic, hydrological model for mesotidal salt marshes.   ESTUARINE, COASTAL AND SHELF SCIENCE. Elsevier Science Ltd, New York, NY, USA, 233: 106486, (2020).

Tags: estuaries, hydrology-model, pacific-northwest, salt-marshes, sea-level-rise
Organization: U.S. Environmental Protection Agency
Estimates of burrowing shrimp densities and habitat area in Yaquina estuary, Oregon, in 2002

Estimates of the abundance and habitat area for two species of burrowing shrimps in Yaquina Bay estuary, Oregon. 

This dataset is associated with the following publication:
Dumbauld, B., L. McCoy, T. DeWitt , and J. Chapman. Estimating long-term trends in populations of two ecosystem engineering burrowing shrimps in Pacific Northwest (USA) estuaries.   HYDROBIOLOGIA. Springer, New York, NY, USA, 848(5): 993-1013, (2021).

Tags: benthic-invertebrates, carbon-cycling, estuarine-ecosystem, estuary, nutrient-cycling
Organization: U.S. Environmental Protection Agency
Quantitative structure activity relationships (QSARs) and machine learning models for abiotic reduction of organic compounds by an aqueous Fe(II) complex

Due to the increasing diversity of organic contaminants discharged into anoxic water environments, reactivity prediction is necessary for chemical persistence evaluation for water treatment and risk assessment purposes. Almost all quantitative structure activity relationships (QSARs) that describe rates of contaminant transformation apply only to narrowly-defined, relatively homogenous families of reactants (e.g., dechlorination of alkyl halides). In this work, we develop predictive models for abiotic reduction of 60 organic compounds with diverse reducible functional groups, including nitroaromatic compounds (NACs), aliphatic nitro-compounds (ANCs), aromatic N-oxides (ANOs), isoxazoles (ISXs), polyhalogenated alkanes (PHAs), sulfoxides and sulfones (SOs), and others. Rate constants for their reduction were measured using a model reductant system, Fe(II)-tiron. Qualitatively, the rates followed the order NACs > ANOs  ISXs  PHAs > ANCs > SOs. To develop QSARs, both conventional chemical descriptor-based and machine learning (ML)-based approaches were investigated. Conventional univariate QSARs based on a molecular descriptor ELUMO (energy of the lowest-unoccupied molecular orbital) gave good correlations within classes. Multivariate QSARs combining ELUMO with Abraham descriptors for physico-chemical properties gave slightly improved correlations within classes for NCs and NACs, but little improvement in correlation within other classes or among classes. The ML model obtained covers reduction rates for all classes of compounds and all of the conditions studied with the prediction accuracy similar to those of the conventional QSARs for individual classes (r2 = 0.41-0.98 for univariate QSARs, 0.71-0.94 for multivariate QSARs, and 0.83 for the ML model). Both approaches required a scheme for a priori classification of the compounds for model training. This work offers two alternative modelling approaches to comprehensive abiotic reactivity prediction for persistence evaluation of organic compounds in anoxic water environments. 

This dataset is associated with the following publication:
Gao, Y., S. Zhong, T. Torralba-Sanchez, P. Tratnyek, E. Weber, Y. Chen, and H. Zhang. Quantitative structure activity relationships (QSARs) and machine learning models for abiotic reduction of organic compounds by an aqueous Fe(II) complex.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 192: 116843, (2021).

Tags: abiotic-reduction, chemical-transformation-simulator, machine-learning, qsars
Organization: U.S. Environmental Protection Agency
Final Transcripts for River Metrics

Plain text of focus group transcripts. 

This dataset is associated with the following publication:
Weber , M., and P. Ringold. River metrics by the public, for the public.   PLoS ONE. Public Library of Science, San Francisco, CA, USA, 14(5): e0214986, (2019).

Tags: ecosystem-goods-and-services, final-ecosystem-goods-and-services, focus-groups, streams
Organization: U.S. Environmental Protection Agency
CATHGEN Traffic-related air pollution, vascular disease, and epigenetic aging

The data contains location information, DNA methylation (transformed into epigenetic aging biomakers), dates of examination, demographics, disease diagnoses, and traffic-related air pollution exposures. It is stored as a series of data frames suitable for use in the R programming language. 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: This data can be accessed by contacting Dr. Cavin Ward-Caviness and describing your needs for the analysis, completing the necessary ethics trainings, and gaining approval on the appropriate IRB applications as well as by the CATHGEN Steering Committee. Format: The data contains location information, DNA methylation (transformed into epigenetic aging biomakers), dates of examination, demographics, disease diagnoses, and traffic-related air pollution exposures. It is stored as a series of data frames suitable for use in the R programming language. 

This dataset is associated with the following publication:
Ward-Caviness, C., A. Russell, A. Weaver, E. Slawsky, R. Dhingra, L. Coulter Kwee, R. Jiang, L. Neas, D. Diaz-Sanchez, R. Devlin, W. Cascio, E. Hauser, S. Shah, W. Kraus, and K. Olden. Accelerated epigenetic age as a biomarker of cardiovascular sensitivity to traffic-related air pollution.   Aging. Impact Journals, LLC, Orchard Park, NY, USA, 12(23): 24141-24155, (2020).

Tags: 850k-platform, air-quality, dna-methylation
Organization: U.S. Environmental Protection Agency
Geography Lookup API - By name of specific Geography Type within a State

This API returns geographies by name of a specific geography type within a state.

Tags: arra, broadband, broadband-data-improvement-act, community-anchor-institutions, fcc, gov20, national-broadband-map, nsgic, ntia, opengov, state-broadband-data-and-development-grant-program, state-broadband-initiative
Organization: Department of Commerce
Geography Lookup API - By Geography Type within a State

This API returns all geographies of specific geography type within a state.

Tags: arra, broadband, broadband-data-improvement-act, community-anchor-institutions, fcc, gov20, national-broadband-map, nsgic, ntia, opengov, state-broadband-data-and-development-grant-program, state-broadband-initiative
Organization: Department of Commerce