AndreaBozzo/ceres-open-data-index huggingface dataset:
Crude Oil Analysis (COA) Database

The Crude Oil Analysis (COA) database contains the digital data compilation of 9,076 crude oil analyses from samples collected from 1920 through 1983 from the United States and around the world and analyzed by the United States Bureau of Mines (National Institute for Petroleum and Energy Research, 1995). Two laboratories (Bartlesville, Oklahoma, and Laramie, Wyoming) performed routine crude oil analyses by a standardized method, and the data were originally reported in more than 50 reports by the Bureau of Mines. 

Analyses include specific gravity, API gravity, pour point, viscosity, sulfur content, nitrogen content, and color of the crude oil, as well as the bulk properties of the distillation cuts.  

The data were digitized in the late 1970s and a database retrieval system was implemented in 1980 and made available to the public. The Department of Energy (DOE) updated this system in 1995-96 with public access through a dial-up bulletin board system. The database was operated by the National Institute for Petroleum and Energy Research (NIPER) in Bartlesville, Oklahoma. A stand-alone version of the database (COADB) was available in 1995 in the form of a series of tables in Foxpro (.dbf) format. In 1998, an updated version of COADB was available on the NIPER website that included a Microsoft Access 97 version of the database called "coadb.mdb".  The file contains more tables than the original 1995 version but we believe the number of oil samples and the amount of raw data are the same. The additional tables contain text translations for codes used in other tables regarding color, county, laboratory, formation, geologic age, lithology, and state name. Sample location information is generally inadequate to identify the specific well in most cases. The sample location information lacks lease name and in many cases well number and section-township-range. In rare cases, the latitude and longitude are given. A 2002 version was provided by the National Energy Technology Laboratory.


Tags: coa, crude, data, database, gravity, oil, oil-analysis, pour-point, raw-data, sulfur-content, united-states
Organization: Department of Energy
Observation-based solar and wind power capacity factors and power densities - Wind Plant Data

Information on the 430 wind power plants used in the publication "Observation-based solar and wind power capacity factors and power densities", initially based on the Wind Power Plant locations released by the US Energy Information Administration and the individual wind turbine locations released by the US Wind Turbine Database (USWTDB). In this study we estimated the power density of wind and solar power using data that includes most grid-connected commercial-scale installations in the US. We also examined how power densities vary with power plant age and size.

For more information on the project see the "Publication" resource below. 

Tags: capacity-factor, data, power-density, power-plants, processed-data, united-states, us, wind-plant-data, wind-power, wind-turbine-locations
Organization: Department of Energy
Datasets for manuscript "Tracking and Estimating Industrial Wastewater Transfers to Publicly Owned Treatment Works, Using an Integrative Plant-Wide Model"

The Github Repository, https://github.com/perezdavid2024/ChemTEAPOTW or https://github.com/gruizmer/ChemTEAPOTW, named after the model (ChemTEAPOTW), is publicly available and referenced in supplementary information. This GitHub repository describes the computational framework overview, software requirements, model use, model output, and disclaimer.
The ChemTEAPOTW model considers industrial end-of-life (EoL) chemical transfers to a generic publicly owned treatment works (POTW) and simulates both conventional POTW processes and the fate and transport of chemicals of concern (CoC). The model is fed a generated influent profile, at a constant loading rate, listed in Table 1. The influent profile is generated using a modifiable phenomenological approach that considers wastewater flow rate contributions from households, industry, and rain infiltration that correspond to person equivalents (PE) within a catchment area, in this case 80,000 PE.  Thus, the influent profile is used to initiate the set of equations that simulate conventional treatment of organics and nutrients, detailed in the supplementary information, coupled with extension equations for CoC in the form of material balance equations unique for each submodel.
The list of equations and interface assumptions are included in the Github Repository (ChemTEAPOTW) as well as supplementary information. Also, the mass balance equation associated with the anaerobic digestion process encapsulates the transformation of input substances through the digester, leading to the calculation of off-gas (QOG) production (included in supplementary information). All stream volumetric flow-rates, CoC concentration values, physicochemical properties, and equipment specifications from the case study are found in the POTW_Dataset_Manuscript Case Study.xlsx file. 

This dataset is associated with the following publication:
Perez, D., J.D. Chea, T. Abichou, R.L. Smith, and G.J. Ruiz-Mercado. Tracking chemical releases in wastewater systems: An integrated plant-wide model for publicly owned treatment works.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 393: 126862, (2025).

Tags: chemicals-of-concern, environmental-releases, occupational-exposure-pathways, publicly-owned-treatment-works-potws
Organization: U.S. Environmental Protection Agency
Analytical Analysis for Assessment of Pb and As bioaccessibility and relative bioavailability

These data were collected by the EPA Toxic Element Bioavailability Laboratory and consists of lead (Pb) and/or arsenic (As) mouse tissue, soil, aqueous soil leachate, and spectroscopy data. 
The mouse-based assay for assessment of lead and arsenic in vivo mouse bioavailability in soil and dust is a critical tool needed to improve our understanding of the factors affecting the metal’s uptake across the gastrointestinal barrier and to evaluate the efficacy of methods used to remediate lead and/or arsenic contaminated media.  The mouse assay has been optimized to yield accurate, reproducible, and reliable estimates of the in vivo mouse bioavailability of lead and/or arsenic in soil and dust.
The reported Pb/As data is used to assess the total, bioaccessible, and bioavailable concentrations resulting from exposure to soils. These data were collected using EPA Methods 1340, 3050b, 6010d, and 6020b. These quantitative characterization data are then paired with X-ray absorption spectroscopy data that is used to deduce the valence, coordination environment, and mineral/sorbed phase of the element of interest. These data are collected at a synchrotron facility by our team and then processed at EPA ORD using previously established methods (e.g., Sowers et al., 2023).

Tags: arsenic, lead, relative-bioavailability, soil
Organization: U.S. Environmental Protection Agency
Data release for integrating remotely sensed surface water dynamics in hydrologic signature modeling

Variability in river discharge, particularly very high flow and low flow conditions, has far-reaching environmental and economic consequences. The retention of water in surface storage, concentrated in lakes, ponds, wetlands, floodplains, and temporary water in flood prone areas, can potentially contribute to flow generation and flood regulation. However, the impact of surface water storage on river discharge can be challenging to isolate and quantify. A suite of hydrologic signatures were generated for 72 gages across the conterminous United States. The hydrologic signatures were selected to characterize all flows as well as isolating high and low flows, and machine learning models were developed to explain watershed variability in signature values. Wetland related variables, including multi-sensor-based surface water extent and hydroperiod, were compared with other drivers, including climate, topography, and land cover. An improved understanding of how surface water dynamics influence river discharge can be used to improve the resilience of river systems to climate extremes. 

This dataset is associated with the following publication:
Vanderhoof, M., P. Nieuwlandt, H. Golden, C. Lane, J. Christensen, W. Keenan, and W. Dolan. Relating surface water dynamics in wetlands and lakes to spatial variability in hydrologic signatures.   Wetlands Ecology and Management. Springer Science and Business Media B.V;Formerly Kluwer Academic Publishers B.V.,   GERMANY, 33(53): 1-36, (2025).

Tags: drought, floodplain, floods, geographically-isolated-wetlands, hydrologic-signatures, lakes, non-floodplain-wetlands, stream-discharge-metrics, wetlands
Organization: U.S. Environmental Protection Agency
Zostera marina florigen genetics

Data: all sequencing data were deposited to the National Center for Biotechnology Information Sequence Read Archive under BioProject number PRJNA1251697. All alignments, scripts, population metadata, genotypes (filtered and unfiltered), and quantitative reverse-transcription PCR results are available on Dryad at the following link: https://doi.org/10.5061/dryad.sbcc2frh0.

Code: this study does not report any original code.

Additional information: any additional information required to reanalyze or use the data reported in this article is available from the lead contact upon request. 

This dataset is associated with the following publication:
Nolan, C., I. Campbell, A. Farrell-Sherman, B. Briones Ortiz, C. Yang, K. Naish, V. Di Stilio, J. Kaldy, C. Donoghue, J. Ruesink, and T. Imaizumi. Florigen and antiflorigen gene expression correlates with reproductive state in a marine angiosperm, Zostera marina.   iScience. Elsevier B.V., Amsterdam,  NETHERLANDS, 28(8): 113082, (2025).

Tags: antiflorigen, climate-change, florigen, flowering, zostera-marina
Organization: U.S. Environmental Protection Agency
Metadata: Modification of Associations Between PM2.5 and Vital Signs by β-Blocker Prescription Status Among Individuals with Heart Failure

The data contains electronic health records and PM2.5 exposure data in tabular format. The data contains information on vital measurements (heart rate and blood pressure), dates of hospitalizations, medication usage, and individual level demographics. This dataset is not publicly accessible because: The data contains PHI and PII which cannot be uploaded to ScienceHub or exported from their secure environment. It can be accessed through the following means: The data can be accessed by contacting Cavin Ward-Caviness or through a request to NC TraCS with appropriate approved IRB application. Format: The data contains electronic health records and PM2.5 exposure data in tabular format. The data contains information on vital measurements (heart rate and blood pressure), dates of hospitalizations, medication usage, and individual level demographics. 

This dataset is associated with the following publication:
Narain, M., M. Breen, A. Carll, M. Hazari, A. Farraj, and C. Ward-Caviness. Modification of Associations Between PM2.5 and Vital Signs by β-Blocker Prescription Status Among Individuals with Heart Failure.   ENVIRONMENTAL HEALTH. BioMed Central Ltd, London,  UK, 24: 55, (2025).

Tags: heart-failure, interactions, medications, pm2-5, vital-signs
Organization: U.S. Environmental Protection Agency
National Youth Survey US:  Wave III (NYS-1978)

<p>Youth data for the third wave of the National Youth Survey<br />
are contained in this data collection, which includes data for youth<br />
interviewed in 1979 about events and behavior of the preceding year.<br />
The first wave of this study was conducted in 1976 and the<br />
second wave in 1977. Data were collected on the<br />
demographic and socioeconomic status of respondents, disruptive events<br />
in the home, youth aspirations, expectations for future goals, social<br />
isolation, normlessness, labeling, perceived disapproval, attitudes<br />
toward deviance, exposure and commitment to delinquent peers, sex<br />
roles, attitudes toward sexual assault, interpersonal violence,<br />
pressure for substance abuse by peers, exposure to substance abuse by<br />
parents, self-reported delinquency, and drug and alcohol use.This study has 1 Data Set.</p>

Tags: aspirations, behavior-problems, career-goals, community-involvement, delinquent-behavior, depression-psychology, deviance, drugs, expectations, family-conflict, family-relations, health-services-utilization, life-events, neighborhood-conditions, parental-attitudes, parents, peer-influence, sexual-behavior, social-attitudes, social-behavior, social-isolation, social-values, socioeconomic-status, spouse-abuse, substance-abuse, teenage-pregnancies, victimization, young-adults, youths
Organization: U.S. Department of Health & Human Services
County Land Use Surveys

This is collection of  DWR  County Land Use Surveys. You may scroll the list below to download any individual survey of  interest. 
Historic County Land Use Surveys spanning 1986 - 2015 may also be accessed using the CADWR Land Use Data Viewer.
For Statewide Crop Mapping follow the link below : https://data.cnra.ca.gov/dataset/statewide-crop-mapping
For Region Land Use Surveys follow link below: https://data.cnra.ca.gov/dataset/region-land-use-surveys
Questions about the survey data may be directed to Landuse@water.ca.gov.

Tags: california, california-department-of-water-resources, county-surveys, crop-mapping, dwr, land-use
Organization: State of California
Elk Home Range - Lake Pillsbury - 2017-2022 [ds3028]

<div style='text-align:Left;'><div><div><p><span>The project leads for the collection of this data were Josh Bush and Tom Batter. Elk (5 adult females, 7 adult males) from the Lake Pillsbury herd were captured and equipped with Lotek GPS collars (LifeCycle 800 GlobalStar, Lotek Wireless, Newmarket, Ontario, Canada), transmitting data from 2017-2022. The study area was within the Lake Pillsbury Elk Management Unit, north of Clear Lake and located entirely within the Mendocino National Forest. The Lake Pillsbury herd contains short distance, elevation-based movements likely due to seasonal habitat conditions, but this herd does not migrate between traditional summer and winter seasonal ranges. Instead, much of the herd displays a residential pattern, slowly moving up or down elevational gradients. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed at 13-hour intervals in the dataset. To improve the quality of the data set as per Bjørneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual elk is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst. </span></p><p><span>The methodology used for this analysis allowed for the mapping of the herd’s annual range based on a small sample. Brownian Bridge Movement Models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 11 elk in total, including 36 year-long sequences, location, date, time, and average location error as inputs in Migration Mapper to assess annual range. Annual range BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of les than 27 hours. Population-level annual range designations for this herd may expand with a larger sample, filling in some of the gaps between high-use annual range polygons in the map. Annual range is visualized as the 50th percentile contour (high use) and the 99th percentile contour of the year-round utilization distribution.</span></p></div></div></div>

Tags: annual-range, auth_cdfw, brownian-bridge-movement-model, california, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, cervus-canadensis, connectivity, ds3028_20221103_wm, elk, gps, home-range, lake, migration-mapper, telemetry
Organization: State of California
Wildlife Movement Barrier Priorities - CDFW - 2022 [ds3025]

<div style='text-align:Left;'><div><div><p style='margin:16 0 6 0;'><span>CDFW divides the state into six administrative Regions. CDFW staff in each Region identified linear segments of infrastructure that currently present barriers to wildlife populations in their jurisdiction. In doing so, the Regions used all available empirical information in their possession, including existing connectivity and road crossing studies, collared-animal movement data, roadkill observations, and professional expertise. This dataset represents the ten highest priority barriers identified in each Region and the twelve top priority barriers statewide. </span></p><p style='margin:16 0 6 0;'><span>This dataset represents CDFW's ongoing effort to identify priority wildlife movement barriers across the state. Currently, increasing attention is being directed toward wildlife habitat connectivity as a mechanism of maintaining biodiversity in the face of population growth and climate change. Listing priority wildlife barrier locations will help focus limited financial resources where the highest need has been identified to improve wildlife movement. This is complementary to CDFW’s fish passage barrier priorities that have been identified for anadromous fish. Like the fish passage priorities, the wildlife barrier priorities list will be periodically updated to reflect new information and barrier removal successes.</span></p><p style='margin:16 0 6 0;'><span>Most of the barriers identified are highway segments, but the list also includes a local road and two high speed rail alignments.</span></p><p style='margin:16 0 6 0;'><span>Additional information can be found in this report: </span><a href='https://nrm.dfg.ca.gov:443/FileHandler.ashx?DocumentID=204648' style='text-decoration:underline;' rel='nofollow ugc'><span>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=204648</span></a><span>. </span></p><p style='margin:16 0 6 0;'><a href='https://apps.wildlife.ca.gov:443/bios6/?al=2867' style='text-decoration:underline;' rel='nofollow ugc'><span>Wildlife Movement Barriers - CDFW [ds2867]</span></a><span> represents a comprehensive dataset of all barriers identified to date, including those which have been remediated since 2020.</span></p></div></div></div>

Tags: auth_cdfw, barriers, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, connectivity, ds3025_20221005_wm, highways, roads, terrestrial, wildlife
Organization: State of California
Wildlife Movement Barrier Priorities - CDFW - 2020 [ds3023]

<div style='text-align:Left;'><div><div><p style='margin:16 0 6 0;'><span>CDFW divides the state into six administrative Regions. CDFW staff in each Region identified linear segments of infrastructure that currently present barriers to wildlife populations in their jurisdiction. In doing so, the Regions used all available empirical information in their possession, including existing connectivity and road crossing studies, collared-animal movement data, roadkill observations, and professional expertise. The dataset represents the ten highest priority barriers identified in each region. </span></p><p style='margin:16 0 6 0;'><span>This dataset represents CDFW's initial effort to identify priority wildlife movement barriers across the state. Currently, increasing attention is being directed toward wildlife habitat connectivity as a mechanism of maintaining biodiversity in the face of population growth and climate change. Listing priority wildlife barrier locations will help focus limited financial resources where the highest need has been identified to improve wildlife movement. This is complementary to CDFW’s fish passage barrier priorities that have been identified for anadromous fish. Like the fish passage priorities, the wildlife barrier priorities list will be periodically updated to reflect new information and barrier removal successes.</span></p><p style='margin:16 0 6 0;'><span>Most of the barriers identified are highway segments, but the list also includes a local road, a high speed rail segment, and a concrete water conveyance canal.</span></p><p style='margin:16 0 6 0;'><span>Additional information can be found in this report: </span><a href='https://nrm.dfg.ca.gov:443/FileHandler.ashx?DocumentID=178511' style='text-decoration:underline;' rel='nofollow ugc'><span>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=178511</span></a><span>.</span></p><p style='margin:16 0 6 0;'><span /><a href='https://apps.wildlife.ca.gov:443/bios6/?al=2867' style='text-decoration:underline;' rel='nofollow ugc'><span>Wildlife Movement Barriers - CDFW [ds2867]</span></a><span> represents a comprehensive dataset of all barriers identified to date, including those which have been remediated since 2020.</span></p></div></div></div>

Tags: auth_cdfw, barriers, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, connectivity, ds3023_20200413_wm, highways, roads, terrestrial, wildlife
Organization: State of California
FTB EITC Summary of CA Residents Jul 2025

Produced by the Economic & Statistical Research Bureau, monthly tabulations of tax filings statistics for the Earned Income Tax Credit (EITC), Young Child Tax Credit (YCTC) and Foster Youth Tax Credit (FYTC) provide credit use by county, preparer type, credit amount allowed number of dependents and a many other useful cross-sections

Tags: california-franchise-tax-board, eitc, ftb, fytc, monthly, report, yctc
Organization: State of California
FTB EITC Summary of CA Residents Year Comparison Jul 2025

Produced by the Economic & Statistical Research Bureau, monthly tabulations of tax filings statistics for the Earned Income Tax Credit (EITC), Young Child Tax Credit (YCTC) and Foster Youth Tax Credit (FYTC) provide credit use by county, preparer type, credit amount allowed number of dependents and a many other useful cross-sections.

Tags: california-franchise-tax-board, comparison, eitc, ftb, fytc, monthly, yctc
Organization: State of California
California Bumble Bee Atlas Sampling Grids - 2022 [ds3004]

<div style='text-align:Left;'><div><div><p><span>The California Bumble Bee Atlas sampling grid cell map for 2022. Trained volunteers participate in the atlas by adopting a grid cell to conduct at least two surveys in 2022. The project launches on three different dates based on the start of bumble bee flight season: March 15th in southern California, April 15th in central and coastal California, and May 15th everywhere else.</span></p><p><span>For more information please visit </span><a href='https://www.cabumblebeeatlas.org:443/' style='text-decoration:underline;' rel='nofollow ugc'><span>https://www.cabumblebeeatlas.org/</span></a><span>. </span></p></div></div></div>

Tags: atlas, auth_cdfw, bumble-bee, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, ds3004_20220418_wm, survey, volunteer
Organization: State of California
NCCP Gains & Losses - San Diego [ds892]

<div style='text-align:Left;'><div><div><p><span>An NCCP identifies and provides for the regional protection of plants, animals, and their habitats, while allowing compatible and appropriate economic activity. Working with landowners, environmental organizations, and other interested parties, a local agency oversees the numerous activities that compose the development of an NCCP. CDFW and the U.S. Fish and Wildlife Service provide the necessary support, direction, and guidance to NCCP participants. HabiTrak consolidates the NCCP Habitat Gains and Losses into a single system.</span></p></div></div></div>

Tags: california-department-of-fish-and-wildlife, cdfw, ds0892_20240716_wm, habitat-gain, habitat-loss, habitrak, natural-communities-conservation-plan, nccp, regulation
Organization: State of California