AndreaBozzo/ceres-open-data-index huggingface dataset:
State Energy Data System (SEDS) Application Programming Interface (API)

State-level data on all energy sources. Data include production, consumption, reserves, stocks, prices, imports, and exports. Data are collated from state-specific data reported elsewhere on the EIA website and are the most recent values available. The system provides data back from 1960. While some SEDS data series come directly from surveys conducted by EIA, many are estimated using other available information. These estimations are necessary for the compilation of "total energy" estimates.  Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

Tags: annual-data, coal-price, coal-production, coal-reserves, coal-stocks, electric-capacity, electricity-fuel-stocks, electricity-generation, electricity-price, electricity-sales, energy-prices, monthly-data, natural-gas-price, natural-gas-production, natural-gas-reserves, natural-gas-stocks, petroleum-consumption, petroleum-price, petroleum-production, petroleum-reserves, petroleum-stocks
Organization: Department of Energy
State Energy Data System (SEDS) : Consumption Application Programming Interface (API)

This API provides state-level and national-level energy consumption data. Data organized by major economic sectors. EIA's State Energy Data System (SEDS) is a comprehensive data set that consists of annual time series estimates of state-level energy use by major economic sectors, energy production and and State-level energy price and expenditure data. The system provides data back from 1960. Data are presented in physical units, Btu, and dollars. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

Tags: api, energy-consumption, seds, state-energy-consumption, state-energy-data-system
Organization: Department of Energy
State Energy Data System (SEDS) : Conversion Factors Application Programming Interface (API)

This API provides the conversion factors to change physical units to Btu. EIA's State Energy Data System (SEDS) is a comprehensive data set that consists of annual time series estimates of state-level energy use by major economic sectors, energy production and State-level energy price and expenditure data. The system provides data back from 1960. Data are presented in physical units, Btu, and dollars.  Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

Tags: api, btu, seds, state-energy-data-system, unit-conversion
Organization: Department of Energy
State Energy Data System (SEDS): GDP Application Programming Interface (API)

This API provides state-level and national-level GDP. EIA's State Energy Data System (SEDS) is a comprehensive data set that consists of annual time series estimates of state-level energy use by major economic sectors, energy production and State-level energy price and expenditure data. The system provides data back from 1960. Data are presented in physical units, Btu, and dollars.  Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

Tags: api, gdp, seds, state-energy-data-system, state-gdp, united-states-gdp
Organization: Department of Energy
State Energy Data System (SEDS) : Population Application Programming Interface (API)

This API provides state-level population, in addition to the U.S. total population. EIA's State Energy Data System (SEDS) is a comprehensive data set that consists of annual time series estimates of state-level energy use by major economic sectors, energy production and State-level energy price and expenditure data. The system provides data back from 1960. Data are presented in physical units, Btu, and dollars.  Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

Tags: api, seds, state-data, state-energy-data-system, state-population, united-states-population
Organization: Department of Energy
State Energy Data System (SEDS) : Prices & Expenditures Application Programming Interface (API)

This API provides state-level and national-level energy prices and expenditures. Data organized by major economic sectors. EIA's State Energy Data System (SEDS) is a comprehensive data set that consists of annual time series estimates of state-level energy use by major economic sectors, energy production and State-level energy price and expenditure data. The system provides data back from 1960. Data are presented in physical units, Btu, and dollars. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

Tags: api, energy-expenditures, energy-prices, seds, state-energy-expenditures, state-energy-prices, state-energy-system
Organization: Department of Energy
State Energy Data System (SEDS) : Production Application Programming Interface (API)

This API contains state-level and national-level data on energy production. EIA's State Energy Data System (SEDS) is a comprehensive data set that consists of annual time series estimates of state-level energy production by major economic sectors, energy production and State-level energy price and expenditure data. The system provides data back from 1960. Data are presented in physical units, Btu, and dollars. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

Tags: api, energy-production, seds, state-data, state-energy-data-system
Organization: Department of Energy
Total Energy Data and Statistics

Comprehensive monthly and annual time series on all energy sources. Data on production, consumption, reserves, stocks, prices, imports, and exports. Monthly time series extend back to 1973 and annual time series extend back to 1949. National-level data on major end-use sectors ,i.e., residential, commercial, industrial, and transportation.

Tags: annual-data, coal-price, coal-production, coal-reserves, coal-stocks, electric-capacity, electricity-fuel-stocks, electricity-generation, electricity-price, electricity-sales, energy-prices, historical-data, international-petroleum, monthly-data, natural-gas-price, natural-gas-production, natural-gas-reserves, natural-gas-stocks, petroleum-consumption, petroleum-price, petroleum-production, petroleum-reserves, petroleum-stocks, time-series
Organization: Department of Energy
U.S. Crude Oil, Natural Gas, and Natural Gas Liquids Reserves

Annual data on proved reserves of crude oil, natural gas, and natural gas liquids in the U.S. Based on EIA Form-23L data.                                                                                                                                                                   Proved reserves are estimated volumes of hydrocarbon resources that analysis of geologic and engineering data demonstrates with reasonable certainty are recoverable under existing economic and operating conditions. Reserves estimates change from year to year as new discoveries are made, existing fields are more thoroughly appraised, existing reserves are produced, and prices and technologies change.

Tags: crude-oil, development, energy-reserves, fields, gas-reserves, gas-resources, gas-supply, natural-gas-liquids-reserves, offshore, oil-reserves, oil-resources, oil-supply
Organization: Department of Energy
Lake Superior Lower Food Web Surveys: Diporeia density and biomass, 2006, 2011, 2016

This dataset contains measures of density and biomass of the amphipod Diporeia spp. from lake-wide surveys of Lake Superior conducted in 2006, 2011, and 2016.  The file also includes site information from the survey design. 

This dataset is associated with the following publication:
Scharold, J., and T. Corry. Status of the amphipod Diporeia spp. in Lake Superior, 2006-2016.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 47(4): 1033-1039, (2021).

Tags: benthic-macroinvertebrates, biomass, density, diporeia, great-lakes, lake-superior, survey-design
Organization: U.S. Environmental Protection Agency
Effects of biophysical processes on diel-cycling hypoxia in a subtropical estuary - Full Dataset

This data file contains the entire dataset applied to the analysis of biophysical effects on diel-cycling hypoxia in Pensacola Bay. Data include continuous water quality, wind, water level, discharge, irradiance, continuous depth profile water quality, and bathymetric data used for generation of figures and tables. Data are stored in an open source NETCDF data structure, and contain all descriptive column headers necessary to access and understand the data.

Tags: diel-cycling, estuary, hypoxia, pensacola-bay
Organization: U.S. Environmental Protection Agency
Crop Rotation Literature Data

N credit data (research articles, universities) and nutrient loss data for crop rotations. 

This dataset is associated with the following publication:
Koropeckyj-Cox, L., R.D. Christianson, and Y. Yuan. Effectiveness of Crop Rotation on Water Quality Improvement: A Synthesis.   Transactions of the ASABE. AMERICAN SOCIETY OF AGRICULTURAL AND BIOLOGICAL ENGINEERS, ST. JOSEPH, MI, USA, 64(2): 691-704, (2021).

Tags: conservation-practice, cost-analysis, crop-rotation, nitrogen-credit, nutrient-manageemnt, water-quality
Organization: U.S. Environmental Protection Agency
Bhutan Solar Resources

GIS data for Bhutan's direct normal irradiance (DNI), global horizontal irradiance (GHI), and latitude tilt irradiance. Researchers from NREL and the Atmospheric Sciences Research Center (ASRC) at the State University of New York (SUNY) at Albany developed the estimates of Bhutans solar resource. SUNY researchers generated the estimates of GHI and DNI using images collected at hourly intervals between December 2002 and January 2007 from the European Meteosat 5 and 7 geostationary satellites. NREL used the GHI data to generate estimates of the resource potential at latitude tilt, and to create the solar resource maps. This submission includes GIS resources of the results for this study. This data can be used to help with energy production and infrastructure planning in Bhutan.


Tags: bhutan, data, direct-normal-irradiance, dni, energy, geospatial, geospatial-vector, gis, global-horizontal-irradiance, latitude-tilt, photovoltaic, processed-data, pv, renewable-energy, shape-file, solar, solar-irradiance, solar-radiation, solar-thermal
Organization: Department of Energy
Railroad Retirement Act Annuitants and Active Railroad Employees by Congressional District, 2020

Railroad Retirement Act annuitants age 18 or over, and active railroad employees by Congressional District. Annuitant counts are individuals in current-payment status in July 2020. Active employee counts are the total number of employees covered by the Railroad Retirement and Railroad Unemployment Insurance Acts during calendar year 2019.

Tags: active-railroad-employees, congressional-district, railroad-retirement-act-annuitants
Organization: Railroad Retirement Board
SciHub Data for Haugland et al JMM 2020

Paired data for estimates of E. coli concentrations by culture analysis and E. coli gene copies by Draft Method C for 6965 ambient water samples from state of Michigan. 

This dataset is associated with the following publication:
Haugland, R., K. Oshima, and M. Sivaganesan. Large-scale comparison of E. coli levels determined by culture and a qPCR method (EPA Draft Method C) in Michigan towards the implementation of rapid, multi-site beach testing.   JOURNAL OF MICROBIOLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 184: 106186, (2021).

Tags: exceedances, linear-regression-models, pearson-r-square, water-quality-thresholds
Organization: U.S. Environmental Protection Agency
Survey of Grape Creek Entrance Area, Cañon City, Colorado, March 2021

This Unoccupied Aerial Vehicle (UAV) survey was flown to provide geology field camp students with a high-resolution orthomosaic, Digital Elevation Model (DEM), and Point Cloud of the entrance to the Grape Creek mapping area. The area shows monocline of Cretaceous beds dipping to the Southeast in the Frontal Range.

Organization: OpenTopography
Evaluation of the offline-coupled GFSv15-FV3-CMAQv5.0.2 in support of the next-generation National Air Quality Forecast Capability over the contiguous United States

No dataset is directly uploaded to ScienceHub. The data are permanently available from the corresponding author. This dataset is not publicly accessible because: The data generated solely by the external academic team and were not shared in raw form with EPA. EPA reviewed the final figures, experimental methodology, model configuration and assumptions, and conclusions of the paper for accuracy, precision, and scientific relevance. It can be accessed through the following means: The data are, as indicated in the publication, available freely upon request from the corresponding author, a professor currently of the Department of Civil and Environmental Engineering at Northeastern University in Boston. According to the publication emails may be sent to: Yang Zhang (ya.zhang@northeastern.edu). Format: The data are comprised of model outputs from the weather forecasting model FV3 and the air quality model CMAQ, as well as measurement data for meteorological metrics and air pollution observations.

The data are presented in a number of tables, maps, scatterplots and bar plots. 

This dataset is associated with the following publication:
Chen, X., Y. Zhang, K. Wang, D. Tong, P. Lee, Y. Tang, J. Huang, P. Campbell, J. McQueen, H. Pye, B. Murphy, and D. Kang. Evaluation of the offline-coupled GFSv15–FV3–CMAQv5.0.2 in support of the next-generation National Air Quality Forecast Capability over the contiguous United States.   Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 14: 3969–3993, (2021).

Tags: air-quality, bias-correction, cmaq, forecast, fv3
Organization: U.S. Environmental Protection Agency
Impacts of U.S. Stream Water Exposures on Lipid Classes in Zebrafish Liver Cells

Impacts of U.S. Streams on the Lipidome of Zebrafish Liver Cells. 

This dataset is associated with the following publication:
Zhen, H., Q. Teng, J. Mosley, T. Collette, Y. Yue, P. Bradley, and D. Ekman. Untargeted Lipidomics for Determining Cellular and Subcellular Responses in Zebrafish (Danio rerio) Liver Cells Following Exposure to Complex Mixtures in U.S. Streams.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 55(12): 8180–8190, (2021).

Tags: cell-culture, environmental-monitoring, lipidomics, organelles, water-quality
Organization: U.S. Environmental Protection Agency
Black et al_human rat and trout CLint_ScienceHub entry

This dataset provides measured in vitro intrinsic clearance rates for 54 chemicals tested using isolated hepatocytes from humans, rats, and rainbow trout.  The test chemicals were selected to provide broad coverage across the industrial and pesticidal chemical space while also prioritizing chemicals of interest to EPA’s Endocrine Disruptor Screening Program (EDSP).  A data evaluation framework was developed to identify results suitable for rate reporting.  Acceptable results were then used to evaluate the chemical domain of applicability of the applied methods, the influence of starting substrate concentration on measured rates of intrinsic clearance, and differences in metabolic activity among species.  These findings provide data for chemicals of specific interest to the EDSP.  More importantly, the results provide critical guidance on future use of in vitro biotransformation assays to support high-throughput chemical risks assessments. 

This dataset is associated with the following publication:
Black, S., J. Nichols, K. Fay, S. Matten, and S. Lynn. Evaluation and comparison of in vitro intrinsic hepatic clearance rates measured using cryopreserved hepatocytes from humans, rats, and rainbow trout.   TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 457: 152819, (2021).

Tags: biotransformation, hepatocytes, in-vitro-in-vivo-extrapolation, in-vitro-intrinsic-clearance
Organization: U.S. Environmental Protection Agency
Tropospheric Emission Spectrometer (TES) Satellite Validations of Ammonia, Methanol, Formic Acid, and Carbon Monoxide over the Canadian Oil Sands

The URLs link to the data archive of the Troposphere Emission Spectrometer (TES) retrievals. These include the transects included in the Canadian Tar Sands study. A brief description of TES is listed below. 

TES is a spectrometer that measures the infrared-light energy (radiance) emitted by Earth's surface and by gases and particles in Earth's atmosphere. Every substance warmer than absolute zero emits infrared radiation at certain signature wavelengths. Spectrometers measure this radiation as a means of identifying the substances.

TES has very high spectral resolution, which gives it the ability to pinpoint the wavelengths at which the substances are emitting. This enables precise identification of the substances, and also provides information about their location in the atmosphere. Emission wavelengths can vary with temperature and pressure, so seeing the emissions with great precision enables scientists to infer the temperature and pressure of the chemicals from which they came. This, in turn, implies that the chemicals being observed are at a certain altitude where those temperatures and pressures apply. The ability to determine the altitude of the observed chemicals enables TES to distinguish radiation from the upper and lower atmosphere, and focus on the lower layer - the troposphere.

Since it observes light in the infrared range of the electromagnetic spectrum, similar to night-vision goggles, TES can observe both day and night. Its spectral range overlaps that of HIRDLS, another of the instruments aboard the Aura satellite. So, in addition to its work in the troposphere, TES can supplement HIRDLS measurements of chemicals in the stratosphere that are common to both instruments, as well as help scientists measure additional constituents of the stratosphere. 

This dataset is associated with the following publication:
Shephard, , M.W., C. McLinden, K.E. Cady-Pereira, M. Luo, S.G. Moussa, A. Leithead, J. Liggio, R.M. Staebler, A. Akingunola, P. Makar, P. Lehr, J. Zhang, D.K. Henze, D.B. Millet, J. Bash , L. Zhu, K.C. Wells, S.L. Capps, S. Chaliyakunnel, M. Gordon, K. Hayden, J.R. Brook, M. Wolde, and S. Li. Tropospheric Emission Spectrometer (TES) satellite observations of ammonia, methanol, formic acid, and carbon monoxide over the Canadian oil sands: validation and model evaluation.   Atmospheric Measurement Techniques. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 8: 5189-5211, (2015).

Tags: air-quality-model, nh3-emissions, nitrogen-cycle, satellite-air-quality, sensors
Organization: U.S. Environmental Protection Agency
Systematically evaluating read-across prediction and performance using a local validity approach characterized by chemical structure and bioactivity information

Read-across is a popular data gap filling technique within category and analogue approaches for regulatory purposes. Acceptance of read-across remains an ongoing challenge with several efforts underway for identifying and addressing uncertainties. Here we demonstrate an algorithmic, automated approach to evaluate the utility of using in vitro bioactivity data (“bioactivity descriptors”, from EPA’s ToxCast program) in conjunction with chemical descriptor information to derive local validity domains (specific sets of nearest neighbors) to facilitate read-across for a number of in vivo repeated dose toxicity study types. Over 3400 different chemical structure descriptors were generated for a set of 976 chemicals and supplemented with the outcomes from 821 in vitro assays. The read-across prediction for a given chemical was based on the similarity weighted endpoint outcomes of its nearest neighbors. The approach enabled a performance baseline for read-across predictions of specific study outcomes to be established. Bioactivity descriptors were often found to be more predictive of in vivo toxicity outcomes than chemical descriptors or a combination of both. This generic read across (GenRA) is intended to form a first step in systemizing read-across prediction and serves as a useful tool as part of a screening level hazard assessment for new untested chemicals. 

This dataset is associated with the following publication:
Shah , I., J. Liu , R.S. Judson , R.S. Thomas , and G. Patlewicz. (Reg. Tox. Pharm.) Systematically evaluating read-across prediction and performance using a local validity approach characterized by chemical structure and bioactivity information.   REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 79: 12-24, (2016).

Tags: bioactivity, chemistry-dashboard, dsstox, human-health-risk-assessment, nearest-neighbors, qsar, read-across, sustainable-chemistry, toxcast
Organization: U.S. Environmental Protection Agency
Assessment of Mercury Cycling in the St Louis River, MN using Mercury and Food Web (Carbon and Nitrogen) Stable Isotopes: U.S. Geological Survey Data Release

Mercury concentration, mercury stable isotope ratio, and carbon and nitrogen stable isotope ratio data as applicable for sediment, water, invertebrates, and fish collected from the St. Louis River Area of Concern (MN-WI) and the associated reference site, the lower Bad River (WI). 

This dataset is associated with the following publication:
Janssen, S., J. Hoffman, R. Lepak, D. Krabbenhoft, D. Walters, C. Eagles-Smith, G. Peterson, J. Ogorek, J. DeWild, A. Cotter, M. Pearson, M. Tate, R. Yeardley, and M. Mills. Examining historical mercury sources in the St. Louis River estuary: How legacy contamination influences biological mercury levels in Great Lakes coastal regions.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 779: 146284, (2021).

Tags: bioaccumulation, food-web, great-lakes, mercury, stable-isotopes
Organization: U.S. Environmental Protection Agency
Comparison of Approaches for Determining Bioactivity Hits from High-Dimensional Profiling Data

*********** Note to Josh Harrill- I don't have a copy of the final manuscript so could you please add the description of this dataset (just delete this comment and enter or cut and paste and then it should be ready to route by clicking on 'Submit for Review' button above) **********. 

This dataset is associated with the following publication:
Nyffeler, J., D. Haggard, C. Willis, W. Setzer, R. Judson, K. Paul-Friedman, L. Everett, and J. Harrill. Comparison of Approaches for Determining Bioactivity Hits from High-Dimensional Profiling Data.   SLAS Discovery. SAGE Publications, THOUSAND OAKS, CA, USA, 26(2): 292-308, (2021).

Tags: cell-painting, computational-toxicology, concentration-response, high-throughput-phenotypic-profiling
Organization: U.S. Environmental Protection Agency