AndreaBozzo/ceres-open-data-index huggingface dataset:
PISCES Seahorse database

This dataset contains saturated fatty acid, ambient PM2.5 and RBC mitochondria data. 

This dataset is associated with the following publication:
Shen, W., H. Chen, C. Shih , J. Samet, and H. Tong. Modulatory Effects of Dietary Saturated Fatty Acids on Platelet Mitochondrial Function Following Short-Term Exposure to Ambient Particulate Matter (PM2.5).   JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART A:  CURRENT ISSUES. Taylor & Francis, Inc., Philadelphia, PA, USA, 187(5): 215-226, (2023).

Tags: pisces, seahorse
Organization: U.S. Environmental Protection Agency
Comparing the health burden associated with wildfire and prescribed fire smoke in the past to the future burden estimated under a projected prescribed fire management scenario in California

Health and exposure data. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. EPA cannot release CBI, or data protected by copyright, patent, or otherwise subject to trade secret restrictions. Request for access to CBI data may be directed to the dataset owner by an authorized person by contacting the party listed. It can be accessed through the following means: For access to the data please reach out to the corresponding author. Format: The data is owned by the California Department of Public Health. 

This dataset is associated with the following publication:
Rosenberg, A., S. Hoshiko, J.R. Buckman, K.R. Yeomans, T. Hayashi,, S.J. Kramer, S. Huang, N.H.F. French, and A. Rappold. Health Impacts of Future Prescribed Fire Smoke: Considerations From an Exposure Scenario in California.   Earth’s Future. John Wiley & Sons, Inc., Hoboken, NJ, USA, 12(2): e2023EF003778, (2024).

Tags: climate-change, fire-management, prescribed-fires, wildfire-smoke
Organization: U.S. Environmental Protection Agency
AHHS Dust PFAS NTA

This information comes from the dataset README covering the NTA data and associated metadata for this dataset.
Dust samples were collected from home vacuum bags and sieved (<150 µm). 
Internal standard (MPFAC-MXA, Wellington Labs) was spiked , dependent on dust mass, to a concentration of 10 ng/g.
Native standards (PFAC-MXA in methanol, Wellington Labs) were dosed into each calibration and QC standard.
The next day, 5 ml methanol was added to each sample.
Samples were sonicated, centrifuged, and cleaned up.
Samples were then blown down using a dry nitrogen gas stream not to dryness; samples were reconstituted to 0.5 ml with methanol as needed.
A 100 µl aliquot of sample extract was combined with 300 µl mobile phase A (see below).

Sample extracts were analyzed by UHPLC-MS/MS on a Thermo Scientific (Waltham, MA) system consisting of a TriPlus RSH autosampler/injector, Vanquish Horizon UPLC/pump system, and Thermo Orbitrap Fusion tribrid mass spectrometer.
Chromatographic separation was performed using a Restek (Bellefonte, PA) Raptor C18 column at 55 °C.
A 15-minute reverse-phase gradient was applied consisting of mobile phases A (95:5 v/v deionized water:methanol containing 2.5 mM ammonium acetate) and B (5:95 v/v deionized water:methanol containing 2.5 mM ammonium acetate).
Negative-polarity electrospray ionization [ESI (-)] was applied first, with positive-polarity applied afterwards.
Mass spectra were collected using a resolving power of 50,000, with preferred-ion data-dependent acquisition (DDA) applied to select molecular features for MS2 fragmentation.

Samples were analyzed in a single batch.
The full batch was repeated twice with randomized sample order.
Separate batches were run for ESI(+) and ESI(-) analysis, for a total of six sample batches.
Targeted methanolic calibration standards at concentrations of 1-1000 ng/g Wellington PFAC-MXA PFAS mixture were run at the start and end of the first batch.
Method blanks, QC standards, pooled samples, and solvent-only blanks were run every ten samples across all batches.

After data collection, chromatograms were processed and peak areas integrated in Thermo Scientific Xcalibur Quan Browser 4.3 for targeted quantitation.
For nontargeted identification, chromatograms and associated mass spectra were processed in Thermo Scientific Compound Discoverer 3.3.
Features were prioritized for expert identification based on a combination of high maximum abundance, strong match to library spectra, negative mass defect (for PFAS), presence as a member of a likely hologous series (for PFAS and surfactants); and/or presence of diagnostic PFAS-related fragments in their MS2 spectra.
Overall, 742 features of interest at confidence 1-3 were identified, as well as 7 confidence-5 features meriting inclusion in the final dataset, and excluding hundreds of features representing false positives/adducts/etc. tentatively identified by Compound Discoverer.



Tags: exposure-predictions, house-dust, nta, pfas, tap-water
Organization: U.S. Environmental Protection Agency
AHHS Dust PFAS NTA Negative Mode 3-28-25

This information comes from the dataset README covering the NTA data and associated metadata for this dataset.
Dust samples were collected from home vacuum bags and sieved (<150 µm). 
Internal standard (MPFAC-MXA, Wellington Labs) was spiked , dependent on dust mass, to a concentration of 10 ng/g.
Native standards (PFAC-MXA in methanol, Wellington Labs) were dosed into each calibration and QC standard.
The next day, 5 ml methanol was added to each sample.
Samples were sonicated, centrifuged, and cleaned up.
Samples were then blown down using a dry nitrogen gas stream not to dryness; samples were reconstituted to 0.5 ml with methanol as needed.
A 100 µl aliquot of sample extract was combined with 300 µl mobile phase A (see below).

Sample extracts were analyzed by UHPLC-MS/MS on a Thermo Scientific (Waltham, MA) system consisting of a TriPlus RSH autosampler/injector, Vanquish Horizon UPLC/pump system, and Thermo Orbitrap Fusion tribrid mass spectrometer.
Chromatographic separation was performed using a Restek (Bellefonte, PA) Raptor C18 column at 55 °C.
A 15-minute reverse-phase gradient was applied consisting of mobile phases A (95:5 v/v deionized water:methanol containing 2.5 mM ammonium acetate) and B (5:95 v/v deionized water:methanol containing 2.5 mM ammonium acetate).
Negative-polarity electrospray ionization [ESI (-)] was applied first, with positive-polarity applied afterwards.
Mass spectra were collected using a resolving power of 50,000, with preferred-ion data-dependent acquisition (DDA) applied to select molecular features for MS2 fragmentation.

Samples were analyzed in a single batch.
The full batch was repeated twice with randomized sample order.
Separate batches were run for ESI(+) and ESI(-) analysis, for a total of six sample batches.
Targeted methanolic calibration standards at concentrations of 1-1000 ng/g Wellington PFAC-MXA PFAS mixture were run at the start and end of the first batch.
Method blanks, QC standards, pooled samples, and solvent-only blanks were run every ten samples across all batches.

After data collection, chromatograms were processed and peak areas integrated in Thermo Scientific Xcalibur Quan Browser 4.3 for targeted quantitation.
For nontargeted identification, chromatograms and associated mass spectra were processed in Thermo Scientific Compound Discoverer 3.3.
Features were prioritized for expert identification based on a combination of high maximum abundance, strong match to library spectra, negative mass defect (for PFAS), presence as a member of a likely hologous series (for PFAS and surfactants); and/or presence of diagnostic PFAS-related fragments in their MS2 spectra.
Overall, 742 features of interest at confidence 1-3 were identified, as well as 7 confidence-5 features meriting inclusion in the final dataset, and excluding hundreds of features representing false positives/adducts/etc. tentatively identified by Compound Discoverer.



Tags: exposure-predictions, house-dust, nta, pfas, tap-water
Organization: U.S. Environmental Protection Agency
Indicators of health vulnerability to wildfire smoke exposure.

Data contains various indicators of vulnerability to wildfire smoke exposure and health effects. 

This dataset is associated with the following publication:
Jung, J., J.L. Wilkins, C.L. Schollaert, Y.J. Masudae, J.C. Flunkerd, R.E. Connolly, S.M.  D’Evelynd, E. Bonilliab, A. Rappold, R.D. Haugo, M.E. Marlierf, and J.T. Spector. Advancing the Community Health Vulnerability Index for Wildland Fire Smoke Exposure.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 906: 167834, (2024).

Tags: air-monitoring, air-pollution, climate-change, vulnerability-index, wildfire
Organization: U.S. Environmental Protection Agency
Time to first hospitalization and/or death.

The data includes individual level information about the time of the first cardiovascular hospitalization and/or death. 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: Please reach out to rappold.ana@epa.gov. Format: This data includes individual level information on time to the first hospitalization or death. 

This dataset is associated with the following publication:
Fann, N., A. Zanobetti, D. Mork, W. Steinhardt, and A. Rappold. Applying a multistate survival model to explore the role of fine particles in promoting frailty in the Medicare cohort.   Environmental Epidemiology. Wolters Kluwer, Alphen aan den Rijn,  NETHERLANDS, 8(1): e285, (2024).

Tags: air-pollution, air-quality, childrens-environmental-health, health-effects, human-health
Organization: U.S. Environmental Protection Agency
Landscaping Points

<p style='margin-top:0px; margin-bottom:0.75rem; max-width:100%; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><span style='max-width:100%; display:inherit;'>Feature layer containing landscaping information in the City of Sioux Falls, South Dakota.</span></p>

Tags: landscaping, lincoln, minnehaha, parks, sd, sioux-falls, south-dakota
Organization: City of Sioux Falls
Exposures and potential health implications of contaminant mixtures in linked source water, pre-distribution, and service-area tapwater from public-supply drinking water systems in Minneapolis/St Paul area, USA_Bioassay Results

Mammalian In vitro bioassay results for associated manuscript-Exposures and potential health implications of contaminant mixtures in linked source water, pre-distribution, and service-area tapwater from public-supply drinking water systems in Minneapolis/St Paul area, USA. 

This dataset is associated with the following publication:
Smalling, K., P. Bradley, K. Romanok, S. Elliot, J. de Lambert, M. Focazio, S. Gordon, J. Gray, L. Kanagy, M. Hladik, K. Loftin, R.B. McCleskey, E. Medlock Kakaley, M. Cardon, N. Evans, and C. Weis. Exposures and potential health implications of contaminant mixtures in linked source water, finished drinking water, and tapwater from public-supply drinking water systems in Minneapolis/St. Paul area, USA.   Environmental Science: Water Research & Technology. Royal Society of Chemistry, Cambridge,  UK, 9: 1813-1828, (2023).

Tags: androgen, bioassay, estrogen, tapwater
Organization: U.S. Environmental Protection Agency
Degradation of aesthetics systematic review 2021

Data extracted from included studies in systematic review of degradation of aesthetics and human health. 

This dataset is associated with the following publication:
Slawsky, E., J. Hoffman, K. Cowan, and K. Rappazzo. Beneficial Use Impairments, Degradation of Aesthetics, and Human Health: A Review.   International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel,  SWITZERLAND, 19(10): 6090, (2022).

Tags: beneficial-use-impairment, bluespace, degradation-of-aesthetics, great-lakes, greenspace, human-health
Organization: U.S. Environmental Protection Agency
Metadata for systematic review of improved cookstove technology trials

This dataset contains the rubric for data extraction for all papers considered for a systematic review of health impacts of improved cookstove technology trials in sub-Saharan Africa. 

This dataset is associated with the following publication:
Dillon, D., S. Reigh, K. Rappazzo, T. Luben, and A. Weaver. A Systematic Review and Meta-Analysis Assessing the Impact of Improved Cookstove Technology Trials (ICTs) on Household Air Pollution and Human Health in Sub-Saharan Africa.   Current Environmental Health Reports. Springer International Publishing AG, Cham (ZG),  SWITZERLAND, 12: 8, (2025).

Tags: air-pollution, biomass-fuels, improved-cookstove-trial, sub-saharan-africa, systematic-review
Organization: U.S. Environmental Protection Agency
US 9-Region TIMES Model (EPAUS9rT_v20.4) and Results Data for the MHDV Electrification Study

This dataset includes TIMES model files associated with generating scenarios for the paper (https://iopscience.iop.org/article/10.1088/2753-3751/ad958b). The study utilized US EPA's TIMES database version: EPAUS9rT_v20.4. The other file includes underlying data used for figures in the manuscript (FigureData_formatted.xlsx). 

This dataset is associated with the following publication:
Zalesak, A., N. Kittner, D. Loughlin, and P. Kaplanakman. Evaluation of energy, carbon dioxide, and air emission implications of medium- and heavy-duty truck electrification in the United States using EPA’s regional TIMES energy systems model.   Environmental Research: Energy. IOP Publishing, BRISTOL,  UK, 1: 045018, (2024).

Tags: air-pollution, climate-change, energy, net-zero, transportation
Organization: U.S. Environmental Protection Agency
MKAD (Open Sourced Code)

The Multiple Kernel Anomaly Detection (MKAD) algorithm is designed for anomaly detection over a set of files. It combines multiple kernels into a single optimization function using the One Class Support Vector Machine (OCSVM) framework. Any kernel function can be combined in the algorithm as long as it meets the Mercer conditions, however for the purposes of this code the data preformatting and kernel type is specific to the Flight Operations Quality Assurance (FOQA) data and has been integrated into the coding steps.  For this domain, discrete binary switch sequences are used in the discrete kernel, and discretized continuous parameter features are used to form the continuous kernel. The OCSVM uses a training set of nominal examples (in this case flights) and evaluates test examples for anomaly detection to determine whether they are anomalous or not. After completing this analysis the algorithm reports the anomalous examples and determines whether there is a contribution from either or both continuous and discrete elements.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
SCALABLE TIME SERIES CHANGE DETECTION FOR BIOMASS MONITORING USING GAUSSIAN PROCESS

SCALABLE TIME SERIES CHANGE DETECTION FOR BIOMASS
MONITORING USING GAUSSIAN PROCESS

VARUN CHANDOLA* AND RANGA RAJU VATSAVAI*

Abstract. Biomass monitoring, specifically, detecting changes in the biomass or vegetation of
a geographical region, is vital for studying the carbon cycle of the system and has significant
implications in the context of understanding climate change and its impacts. Recently, several time
series change detection methods have been proposed to identify land cover changes in temporal
profiles (time series) of vegetation collected using remote sensing instruments. In this paper, we
adapt Gaussian process regression to detect changes in such time series in an online fashion. While
Gaussian process (GP) has been widely used as a kernel based learning method for regression and
classification, their applicability to massive spatio-temporal data sets, such as remote sensing data,
has been limited owing to the high computational costs involved. In our previous work we proposed
an efficient Toeplitz matrix based solution for scalable GP parameter estimation. In this paper we
apply these solutions to a GP based change detection algorithm. The proposed change detection
algorithm requires a memory footprint which is linear in the length of the input time series and
runs in time which is quadratic to the length of the input time series. Experimental results show
that both serial and parallel implementations of our proposed method achieve significant speedups
over the serial implementation. Finally, we demonstrate the effectiveness of the proposed change
detection method in identifying changes in Normalized Difference Vegetation Index (NDVI) data.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
SMAP_L1A_RADAR_RECEIVE_ONLY_QA_V002

SMAP Level 1A Radar Receive Only Data Quality Information Version 2

Tags: active-remote-sensing, earth-observation-satellites, earth-remote-sensing-instruments, earth-science, imaging-radars, nasa-decadal-survey, platform-characteristics, radar, smap, spectral-engineering
Organization: National Aeronautics and Space Administration
HEASARC Astronomical Archive: GLIESE2MAS - Gliese Catalog Stars with Accurate Coordinates and 2MASS Cross-Identifications

This table contains precise epoch 2000 coordinates and cross-identifications to sources in the 2MASS Point Source Catalog for nearly all stars in the Gliese, Gliese-Jahreiss, and Woolley catalogs of nearby stars. The only Gliese objects where the authors were not successful are two Gliese sources that are actually QSOs; two proposed companions to brighter stars, which they believe do not exist; four stars included in one of the catalogs but identified there as only optical companions; one probable plate flaw; and two stars that simply remain unrecovered. For the 4251 recovered stars, 2693 have coordinates based on Hipparcos positions, 1549 have coordinates based on 2MASS data, and 9 have positions from other astrometric sources. All positions have been calculated at epoch 2000 using proper motions from the literature.

Tags: astronomy, goddard-space-flight-center, gsfc, hearsarc, smithsonian-astrophysical-observatory, star-catalog, thermodynamics
Organization: National Aeronautics and Space Administration
AERONET Level 2.0 AOD

The aerosol optical depth processing includes the spectral de-convolution algorithm (SDA) described in O'Neill et al. (2003). This algorithm yields fine (sub-micron) and coarse (super-micron) aerosol optical depths at a standard wavelength of 500 nm (from which FMF*, the fraction of fine mode to total aerosol optical depth can be computed).

Tags: aerosols, clouds, earth-science, inversions, precipitable-water, radiation, satellite
Organization: National Aeronautics and Space Administration
ARC Code TI: Crisis Mapping Toolkit

The Crisis Mapping Toolkit (CMT) is a collection of tools for processing geospatial data (images, satellite data, etc.) into cartographic products that improve understanding of large-scale crises, such as natural disasters. The cartographic products produced by CMT include flood inundation maps, maps of damaged or destroyed structures, forest fire maps, population density estimates, etc. CMT is designed to rapidly process large-scale data using Google Earth Engine and other geospatial data systems.

Tags: cmt, code-ti, crisis-mapping-toolkit, data-processing, geospatial-data-systems, google-earth, map
Organization: National Aeronautics and Space Administration
Near-Real-Time SSM/I-SSMIS EASE-Grid Daily Global Ice Concentration and Snow Extent V004

The Near-real-time Ice and Snow Extent (NISE) data set provides daily, global maps of sea ice concentrations and snow extent. These data are not suitable for time series, anomalies, or trends analyses. They are meant to provide a best estimate of current ice and snow conditions based on information and algorithms available at the time the data are acquired. Near-real-time products are not intended for operational use in assessing sea ice conditions for navigation. 

This NISE Version 4 product contains DMSP-F17, SSMIS-derived sea ice concentrations and snow extents derived from the Special Sensor Microwave Imager/Sounder (SSMIS) aboard the Defense Meteorological Satellite Program (DMSP) F17 satellite. For DMSP-F16, SSMIS-derived data, see <a href="https://doi.org/10.5067/JAQDJKPX0S60"> NISE Version 3</a>. For DMSP-F18, SSMIS-derived data, see <a href="https://dx.doi.org/10.5067/3KB2JPLFPK3R">NISE Version 5</a>. For the older, DMSP-F13, Special Sensor Microwave Imager (SSMI) derived data, see <a href="https://doi.org/10.5067/4FSODMDM1WEJ">NISE Version 2</a>.

Tags: cryosphere, earth-science, sea-ice, snow-ice
Organization: National Aeronautics and Space Administration
IceBridge BGM-3 Gravimeter L2 Geolocated Free Air Anomalies V001

This data set contains free air anomaly measurements taken over Antarctica using the BGM-3 Gravimeter. The data were collected by scientists working on the Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP) project funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC) with additional support from NASA Operation IceBridge.

Tags: earth-science, gravity-gravitational-field, solid-earth
Organization: National Aeronautics and Space Administration
Forestry Sections

<span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>Feature layer containing Forestry Section information in the City of Sioux Falls, South Dakota.</span>

Tags: forestry, forestry-section, lincoln, minnehaha, parks, sd, sioux-falls, south-dakota, trees
Organization: City of Sioux Falls
VIIRS/NPP Sea Ice Cover 6-Min L2 Swath 375m V002

This data set reports the location of sea ice cover derived from radiance data acquired by the Visible Infrared Imager Radiometer Suite (VIIRS) onboard the Suomi National Polar-orbiting Partnership (NPP) satellite. Following the approach used by MODIS, Sea Ice is detected using the Normalized Difference Snow Index.

Tags: cryosphere, earth-science, sea-ice
Organization: National Aeronautics and Space Administration
SENTINEL-1A_SINGLE_POL_METADATA_GRD_FULL_RES

Sentinel-1A Single-pol ground range detected full resolution metadata

Tags: agriculture, biosphere, coastal-processes, cryosphere, earth-science, erosion-sedimentation, forest-science, frozen-ground, geomorphic-landforms-processes, glaciers-ice-sheets, land-surface, land-use-land-cover, landscape, ocean-waves, ocean-winds, oceans, sea-ice, snow-ice, solid-earth, surface-water, tectonics, terrestrial-ecosystems, terrestrial-hydrosphere, topography
Organization: National Aeronautics and Space Administration
IceBridge MCoRDS L3 Gridded Ice Thickness, Surface, and Bottom V002

This data set contains products from depth sounder measurements over Greenland and Antarctica taken from the Multichannel Coherent Radar Depth Sounder (MCoRDS). The data were collected as part of NASA Operation IceBridge funded campaigns. Browse files for this data set are duplicates for the thickness PNG files.

Tags: cryosphere, earth-science, glaciers-ice-sheets
Organization: National Aeronautics and Space Administration