AndreaBozzo/ceres-open-data-index huggingface dataset:
NC_birth_air_pollution_analysis

Dataset contains information on births in North Carolina during the study period, linked to air pollution concentrations during pregnancy. 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: Code files and data dictionaries can be requested from authors (rappazzo.kristen@epa.gov). 
Birth records can be requested through the North Carolina Department of Health and Human Services. Format: Data include csv, SAS, and R files containing information about births in North Carolina. 

This dataset is associated with the following publication:
Krajewski, A., T. Luben, J. Warren, and K. Rappazzo. Associations between weekly gestational exposure of fine particulate matter, ozone, and nitrogen dioxide and preterm birth in a North Carolina Birth Cohort, 2003-2015.   Environmental Epidemiology. Wolters Kluwer, Alphen aan den Rijn,  NETHERLANDS, 7(6): e278, (2023).

Tags: air-pollution, childrens-environmental-health, nitrogen-and-co-pollutants, preterm-birth
Organization: U.S. Environmental Protection Agency
EnviroAtlas - 2010 Dasymetric Population for the Conterminous United States v3

This EnviroAtlas dataset intelligently reallocates 2010 population from census blocks to 30 meter pixels based on land cover and land use. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets). 

This dataset is associated with the following publication:
Baynes, J., A. Neale, and T. Hultgren. Improving intelligent dasymetric mapping population density estimates at 30 m resolution for the conterminous United States by excluding uninhabited areas.   Earth System Science Data. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 14(6): 2833-2849, (2022).

Tags: enviroatlas, population-density
Organization: U.S. Environmental Protection Agency
Event-correlated Outage Dataset in America

This dataset includes an aggregated and event-correlated analysis of power outages in the United States, synthesized by integrating three data sources: the Environment for the Analysis of Geo-Located Energy Information (EAGLE-I), the Electric Emergency Incident Disturbance Report (DOE-417), and Annual Estimates of the Resident Population for Counties 2024 (CO-EST2024-POP). The EAGLE-I dataset, spanning from 2014 to 2023, encompasses over 146 million customers and offers county-level outage information at 15-minute intervals. The data has been processed, filtered, and aggregated to deliver an enhanced perspective on power outages, which are then correlated with DOE-417 data based on geographic location as well as the start and end times of events. For each major disturbance documented in DOE-417, essential metrics are defined to quantify the outages associated with the event. This dataset supports researchers in examining outages triggered by major disturbances like extreme weather and physical disruptions, thereby aiding studies on power system resilience. 

Links to the raw data for generating the correlated dataset are included below as "DOE-417", "EAGLE-I", and  "CO-EST2024-POP" resources. 

Acknowledgement: This work is funded by the Laboratory Directed Research and Development (LDRD) at the Pacific Northwest National Laboratory (PNNL) as part of the Resilience Through Data-Driven, Intelligently Designed Control (RD2C) Initiative.

Tags: aggregated, black-out, data, disturbance, doe-147, eagle-i, event-correlated, events, outage, power-outage, power-system, processed-data, reliability, renewables, resilience, severe-weather, united-states
Organization: Department of Energy
StateIO v0.4.0 Two-Region Economic Input-Output Models for 50 U.S. States: 2012-2023

These data represent an update to the dataset, "State IO Two-Region Economic Input-Output Models for 50 U.S. States 2012-2017" based on the methods described by Li et al. (2022).  They are an update to that dataset published with an expanded time series.
These models were produced with the stateior R package, v0.4.0. 
Excel files (50 in total) are provided for two region (State of Interest and Rest of U.S.) Make and Use tables for each U.S. State IO model for years 2012-2023.
Additional data files supporting this release including all intermediate and final products in native R format (.RDS) and can be opened directly in R software or through the stateior package. See the stateior github page for more details. https://dmap-data-commons-ord.s3.amazonaws.com/index.html#stateio/
All values are in current dollar years (e.g "Make 2012" is the Make table in 2012 USD in a given model).
For a description of the methods used and survey of results see the Addendum 1 on the EPA Science Inventory page for the original publication. 

Please cite this dataset as: 
Young, Ben, Julie Chen, Jorge Vendries, and Wesley Ingwersen. 2025. “StateIO v0.4.0 Two-Region Economic Input-Output Models for 50 U.S. States: 2012-2023.” Data.gov. https://doi.org/10.23719/1532211. 

This dataset is associated with the following publication:
Li, M., J. Ferreira, C.D. Court, D. Meyer, M. Li, and W.W. Ingwersen. StateIO - Open Source Economic Input-Output Models for the 50 States of the United States of America.   International Regional Science Review. SAGE Publications, THOUSAND OAKS, CA, USA, 46(4): 428-481, (2023).

Tags: input-output, interstate-trade, regional-science, state-economic-model, state-gdp, state-industry-output
Organization: U.S. Environmental Protection Agency
SUDDEN_modifiers

Dataset is linked information on sudden death in Wake County NC with air pollution concentrations from central site monitor. 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: SUDDEN data can be requested through the UNC PI, Dr. Ross Simpson. Air pollution data can be accessed through the AQS data mart. Greenspace metrics can be acquired through the National Land Cover Land Use database. Format: Datasets are in csv and SAS formats. 

This dataset is associated with the following publication:
Rappazzo, K., N. Egerstrom, J. Wu, A. Capone, G. Joodi, S. Keen, W. Cascio, and R. Simpson, Jr. Fine particulate matter-sudden death association modified by ventricular hypertrophy and inflammation: a case-crossover study.   Frontiers in Public Health. Frontiers, Lausanne,  SWITZERLAND, 12: 1367416, (2024).

Tags: air-pollution, effect-measure-modification, greenspace, non-chemical-stressors, sudden-death
Organization: U.S. Environmental Protection Agency
USEEIO v2.5 Models

This dataset consists of various USEEIO v2.5 models.
All models are built using the coupled model approach described in the EPA 2024 report "Estimating embodied environmental flows in international imports for the U.S. Environmentally-Extended Input-Output (USEEIO) Model" and using the v1.7.0 release of useeior.
Models are named using an alias that corresponds with a unique set of model attributes, and the final two digits represent the last two digits of the year intended to be represented. Model alias attributes are defined at https://github.com/USEPA/USEEIO/blob/master/models.md#aliases.
Catbird and oriole are detailed and summary-level models, respectively, coupled with CEDA 2024 for representing GHGs in imports.
Kinglet and kingbird are detailed and summary-level models, respectively, coupled with EXIOBASE v3.8.2 for representing GHGs in imports.
Waxwing and yellowthroat are detailed and summary-level models, respectively, coupled with the GLORIA v59a model for representing GHGs and material flows in imports.
The summary level models are available for 2017-2022 for EXIOBASE- and GLORIA-coupled models and 2022 for the CEDA-coupled model. The detailed CEDA, EXIOBASE and GLORIA coupled models are only available for 2022 (note underlying U.S. IO data represents 2017 for detailed models). 

"v2.5-kingbird-" models replace "v2.3-s-GHG-" models, published under "USEEIO Models with Import Emission Factors for Greenhouse Gases for 2017-2022 from EXIOBASE coupled model".
"v2.5-oriole-22" replaces "v2.4-oriole-22" , published under "USEEIO Models with Import Emission Factors for Greenhouse Gases for 2022 from CEDA coupled model". 

The model objects are in unique tabs/worksheets of each file and defined in https://github.com/USEPA/useeior/blob/v1.7.0/format_specs/Model.md.
Links to the model specification files are provided below. 

More information can be found on these models in two additions to the original EPA report "Estimating embodied environmental flows in international imports for the USEEIO Model" https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=362470. The "Corrigendum: Updated Results for Consumption-based GHG Emissions" describes updates related to the EXIOBASE and CEDA coupled models. Addendum 2 describes the GLORIA coupled models. 

Please cite this dataset as "Young, Ben, and Wesley Ingwersen. 2025. USEEIO v2.5 Models. Data.gov. https://doi.org/10.23719/1532178.". 

This dataset is associated with the following publication:
Ingwersen, W.W., J. Namovich, B. Young, and J. Vendries. Estimating embodied environmental flows in international imports for the USEEIO Model. U.S. Environmental Protection Agency, Washington, DC, USA, 2024.

Tags: eeio, ghgs, useeio
Organization: U.S. Environmental Protection Agency
TracMyAir Pilot Studies 1 and 2

data for manuscript titled "Smartphone Application (TracMyAir) for Modeling Exposures to PM2.5 and Ozone – Integration with Air Quality Networks and Location-Activity Sensors" by M. Breen, V. Isakov, et al. 

This dataset is associated with the following publication:
Breen, M., V. Isakov, C. Seppanen, S. Arunachalam, M. Breen, S. Prince, T. Long, D. Heist, P. Deshmukh, K. Appel, C. Hogrefe, B. Murphy, C. Nolte, R. Owen, G. Pouliot, H. Pye, and J. Rosati Rowe. TracMyAir smartphone application for modeling exposures to PM2.5 and ozone – Integration with air quality networks and location-activity sensors.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 959: 178200, (2025).

Tags: air-pollution, exposure-modeling, microenvironment, particulate-matter, time-activity
Organization: U.S. Environmental Protection Agency
Demonstration of LoA Method For Hydrologic Model Evaluation

These are hydrometeorological datasets obtained from US national data repositories as inputs to a hydrologic model and model simulations over the St. Joseph River Watershed (SJRW) for both gauged and hypothetical ungauged scenarios. The datasets purpose is to demonstrate the applicability of the machine learning-based Limits of Acceptability (LoA) method and hydrologic signatures to evaluate the Sacramento Soil Moisture Accounting (SAC-SMA). 

This dataset is associated with the following publication:
Gupta, A., M.M. Hantush, and R.S. Govindaraju. Evaluation of hydrological models at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures.   JOURNAL OF HYDROLOGY. Elsevier Science Ltd, New York, NY, USA, 641: 131774, (2024).

Tags: hydrologic-model, limits-of-acceptability, machine-learning, sacramento-soil-moisture-accounting, saint-joseph-river-watershed, uncertainty-estimation
Organization: U.S. Environmental Protection Agency
GP NO3 Radical Production Using Irradiated Ceric Ammonium Nitrate: Insights into SOA

Data set generated in collaboration with Dr Andy Lamb from Aerodyne Inc. Portions of this dataset are inaccessible because: Non-EPA-owned by Aerodyne Inc. They can be accessed through the following means: Contact Dr Andy Lamb from Aerodyne Inc. at: lambe@aerodyne.com/. Format: Data format, size, 
if special instruments
/software is needed to read the data. 

This dataset is associated with the following publication:
Lambe, A., C. Glenn, A. Avery, T. Xu, J.C. Ditto, M. Canagaratna, D. Gentner, K. Docherty, M. Jaoui, J.  Zaks, A.K.  Bertram, N.L. Ng, and P. Liu. Gas-Phase Nitrate Radical Production Using Irradiated Ceric Ammonium Nitrate: Insights into Secondary Organic Aerosol Formation from Biogenic and Biomass Burning Precursors.   ACS Earth and Space Chemistry. American Chemical Society, Washington, DC, USA, 9(3): 545-559, (2025).

Tags: aerosol-mass-spetrometry, air-pollution, air-quality, nitrates-radicals, oxidation-flow-reactor, secondary-organic-aerosol
Organization: U.S. Environmental Protection Agency
Synergistic effects of space radiation and microgravity (miRNA WT and dys-mutant)

Space radiations and microgravity both could cause DNA damage in cells but the effects of microgravity on DNA damage response to space radiations are still controversial. A mRNA microarray and microRNA microarray in dauer larvae of Caenorhabditis elegans (C. elegans) that endured space xef xac x82ight environment and space radiations environment during 16.5-day Shenzhou-8 space mission were performed. In our study wild type and dys-1 mutant strains of C.elegans endured four conditions during shenzhou-8 spaceflight mission including spaceflight static condition(ss) spaceflight 1-g centrifugal condition(sc) ground control condition(gc) and no-transport control. Limited to the quantity of worm samples we performed technical-repeat test but not sample-repeat test. Accordingly eight miRNA microarrays were performed.

Tags: absorbed-radiation-dose, data-collection, labeling, normalization-data-transformation, nucleic-acid-hybridization, rna-extraction, sample-collection, weightlessness
Organization: National Aeronautics and Space Administration
Rodent Research-1 (RR1) NASA Validation Flight: Mouse gastrocnemius muscle transcriptomic proteomic and epigenomic data

NASA  s Rodent Research (RR) project is playing a critical role in advancing biomedical research on the physiological effects of space environments. Due to the limited resources for conducting biological experiments aboard the International Space Station (ISS) it is imperative to use crew time efficiently while maximizing high-quality science return. NASA  s GeneLab project has as its primary objectives to 1) further increase the value of these experiments using a multi-omics systems biology-based approach and 2) disseminate these data without restrictions to the scientific community. The current investigation assessed viability of RNA DNA and protein extracted from archived RR-1 tissue samples for epigenomic transcriptomic and proteomic assays. During the first RR spaceflight experiment (RR-1) a variety of tissue types were harvested from subjects snap-frozen or RNAlater-preserved and then stored at least a year at -80C after return to Earth. They were then prioritized for this investigation based on likelihood of significant scientific value for spaceflight research. All tissues were made available to GeneLab through the bio-specimen sharing program managed by the Ames Life Science Data Archive and included mouse adrenal glands quadriceps gastrocnemius tibialis anterior extensor digitorum longus soleus eye and kidney. We report here protocols for and results of these tissue extractions and thus the feasibility and value of these kinds of omics analyses. In addition to providing additional opportunities for investigation of spaceflight effects on the mouse transcriptome and proteome in new kinds of tissues our results may also be of value to program managers for the prioritization of ISS crew time for rodent research activities.

Tags: 5mc-total-rna-methylation-analysis, animal-and-tissue-sampling, animal-husbandry, data-transformation, dna-sequencing-library-construction, epitranscriptomics, genelab-rnaseq-data-processing-protocol, labeling, library-construction, mass-spectrometry, mouse-habitation, nucleic-acid-extraction, nucleic-acid-sequencing, protein-extraction, rna-sequencing-library-construction, sample-collection, spaceflight, tmt-isobaric-labeling
Organization: National Aeronautics and Space Administration
Identifying radiation exposure biomarkers from mouse blood transcriptome

Here we present a whole-genome survey of the murine transcriptomic response to physiologically-relevant radiation doses 2 and 8 Gy. There are 18 distinct biological samples here. Mice were exposed to ionizing radiation (Cesium-138 source) and whole blood was collected by cardiac puncture 6 hours post treatment. Doses were 0 (7 samples) 2 (5 samples) and 8 (6 samples) gy.

Tags: bioassay_data_transformation, dose, feature_extraction, grow, hybridization, image_aquisition, ionizing-radiation, labeling, nucleic_acid_extraction, p-gse33172-1, p-gse33172-2, p-gse33172-3, p-gse33172-4, p-gse33172-5, p-gse33172-6, p-gse33172-7, p-gse33172-8, specified_biomaterial_action
Organization: National Aeronautics and Space Administration
The Heat-Inducible Transcription Factor HsfA2 Enhances Anoxia Tolerance in Arabidopsis

Anoxia induces several heat shock proteins and a heat pre-treatment can acclimatize Arabidopsis seedlings to a subsequent anoxic treatment. In this work we analyzed the response of Arabidopsis seedlings to anoxia heat and a combined heat+anoxia stress. A significant overlapping between the anoxic and heat shock responses has been observed by whole-genome microarray analysis. Overall design: We treated Arabidopsis seedling 4-days old dark germinated with: Control (23C dark liquid Murashige-Skoog medium containing 30mM sucrose). Heat-treated (38C for 90 minutes dark liquid Murashige-Skoog medium containing 30mM sucrose). Anoxia-treated (23C under anoxia for 6h dark liquid Murashige-Skoog medium containing 30mM sucrose). Combined heat+Anoxia-treatment (23C treated at 38C for 90 min and thereafter under anoxia for 6h dark liquid Murashige-Skoog medium containing 30mM sucrose). Two biological replicates for each condition.

Tags: data-collection, growth-protocol, labeling, normalization-data-transformation, nucleic-acid-hybridization, rna-extraction, treatment, treatment-protocol
Organization: National Aeronautics and Space Administration
TDA Data Overview - Food and Nutrition Programs Open Data

Summary of datasets available for Texas Department of Agriculture Food and Nutrition Programs.

Tags: at-risk-meals, cacfp, child-and-adult-care-food-program, child-care-centers, day-care-homes, national-school-lunch-program, nslp, sbp, school-breakfast-program, school-nutrition-programs, sfsp, smp, sso, summer-meal-programs, tda, texas-department-of-agriculture
Organization: City of Austin
Transcription profiling of Drosophila after exposure to microgravity in the International Space Station and in a microgravity simulator

Larvae-Pupae transition flies (Drosophila) were recovered and transport for 3 days at 12-14C to arrest development until the launch site then exposed to RT (18-20C) for some hours including the launch and trip to the International Space Station then pupae were exposed to microgravity in the ISS for 4 days and a half at 22C. Finally pupae were fixed on acetone and frozen until recovery on Earth. Four groups of samples: 1 ISS (+ground control) as described 2 RPM (microgravity simulator on Earth) as described 3 RPM without constrains (No MAMBA container and only 5 days exposure without cold transport) and 4 centrifuge 10g without constrains control.

Tags: affymetrix-protocol-hybridization-unknown, feature_extraction, gravity, grow, hybridization, labeling, nucleic_acid_extraction, p-affy-2, p-affy-6, p-mtab-3321, p-mtab-3322, treatment
Organization: National Aeronautics and Space Administration
Giovanni

Giovanni is a Web-based application developed by the GES DISC that provides a simple and intuitive way to visualize, analyze, and access vast amounts of Earth science remote sensing data without having to download the data. Giovanni is an acronym for the GES-DISC (Goddard Earth Sciences Data and Information Services Center) Interactive Online Visualization ANd aNalysis Infrastructure.

Tags: atmospheric-science, earth-science, environmental-science, hydrology, ocean-science, remote-sensing
Organization: National Aeronautics and Space Administration
Effect of simulated microgravity on E. coli K12 MG1655 growth and gene expression

This study demonstrates simulated microgravity effects on E. coli K 12 MG1655 when grown on LB medium supplemented with glycerol. The results imply that E. coli readily reprograms itself to combat the multiple stresses imposed due to microgravity. Under these conditions it survives by upregulating oxidative stress protecting genes and simultaneously down regulating the membrane transporters and synthases to maintain cell homeostasis. In this study a clinostat that mimics microgravity conditions was used to investigate the effects of microgravity on E. coli grown in LB medium supplemented with glycerol to monitor the effects on growth and global gene expression using Affymetrix DNA microarrays.

Tags: data-transformation, feature_extraction, genelab-microarray-data-processing-protocol, grow, hybridization, image_acquisition, labeling, microgravity-simulation, nucleic_acid_extraction, p-gse40648-2, p-gse40648-3, p-gse40648-4, p-gse40648-5, p-gse40648-6, p-gse40648-7, p-gse40648-8, specified_biomaterial_action
Organization: National Aeronautics and Space Administration
Low dose (0.04 Gy) irradiation (LDR) and hindlimb unloading (HLU) microgravity in mice: brain transcriptomic and epigenomic data

The purpose of the present study was to evaluate damage in brain and eye in a ground-based model for spaceflight which includes prolonged unloading and low-dose radiation. Low-dose/Low-dose-rate (LDR) gamma-radiation using 57Co plates (0.04 Gy) was delivered whole-body to mature 6-month old female C57BL/6 mice to simulate the radiation component. Anti-orthostatic tail suspension was used to model the unloading fluid shift and physiological stress aspects of the microgravity component. Mice were hindlimb suspended and/or irradiated for 21 days. Tissues were collected at 7 days 1 4 and 9 months following simulated microgravity. Herein we proposed to use omics-based molecular phenotyping approach for identification and characterization of genomic signatures in multiple organ system associated with low-dose radiation and simulated microgravity.

Tags: data-collection, data-transformation, dna-sequencing-library-construction, genelab-rnaseq-data-processing-protocol, hindlimb-unloading, ionizing-radiation, labeling, nucleic-acid-extraction, nucleic-acid-hybridization, nucleic-acid-sequencing, rna-sequencing-library-construction, sample-collection, spike-in-protocol, time-of-sample-collection-after-treatment, treatment-protocol
Organization: National Aeronautics and Space Administration