AndreaBozzo/ceres-open-data-index huggingface dataset:
NNDSS - Table II. Babesiosis to Campylobacteriosis

NNDSS - Table II. Babesiosis to Campylobacteriosis - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.

Tags: 2015, babesiosis, campylobacteriosis, mmwr, nedss, netss, nndss, wonder
Organization: U.S. Department of Health & Human Services
CDC Best Practices for Comprehensive Tobacco Control Programs - 2007

2007. Centers for Disease Control and Prevention (CDC). Best Practices for Comprehensive Tobacco Control Programs. Funding. CDC's Best Practices for Comprehensive Tobacco Control Programs is an evidence-based guide to help states plan and establish effective tobacco control programs to prevent and reduce tobacco use.  Data are reported at total and per capita funding levels. Data include recommended, upper, and lower total funding levels for state programs, in addition to funding breakdowns by intervention areas such as: State and Community Interventions, Health Communication Interventions, Cessation Interventions, Surveillance and Evaluation, and Administration and Management.

Tags: administration-and-management, best-practices-for-comprehensive-tobacco-control-programs, cessation-intervention, health-communication-interventions, office-on-smoking-and-health, osh, state-and-community-interventions, surveillance-and-evaluation, tobacco
Organization: U.S. Department of Health & Human Services
United States Land-based Wind Representative Profiles 2007-2013 & 2015-2023

This data packet contains hourly generation profiles (representative profiles) for land-based wind across the contiguous United States. Hourly representative generation profiles are available for each reV supply curve site (~53,000 sites) which represents about 11.5 KM x 11.5 KM square envelope area. It contains capacity factor power profiles (AC) that can be linked directly to the capacity available in the supply curve. This data packet contains information for the reference scenario.

For further details and citation, please refer to the publication linked below: Lopez, Anthony, Gabriel R. Zuckerman, Pavlo Pinchuk, Michael Gleason, Marie Rivers, Owen Roberts, Travis Williams, Donna Heimiller, Sophie-Min Thomson, Trieu Mai, and Wesley Cole. Renewable Energy Technical Potential
and Supply Curves for the Contiguous United States: 2024 Edition, Golden, CO: National Renewable Energy Laboratory (NREL), 2024. NREL/TP-6A20-91900

Tags: hourly-generation, land-based-wind, power-profiles, representative-profiles, rev-bespoke, siting-lab, sitinglab, wind-power
Organization: Department of Energy
United State Utility-Scale Solar PV Representative Profiles 1998-2023

This data packet contains hourly generation profiles (representative profiles) for utility-scale PV across the contiguous United States. Hourly representative generation profiles are available for each reV supply curve site (~60,000 sites) which represents about 11.5 KM x 11.5 KM square envelope area. It contains capacity factor power profiles (AC) that can be linked directly to the capacity available in the supply curve. This data packet contains information for the reference scenario.

For further details and citation, please refer to the publication linked below: Lopez, Anthony, Gabriel R. Zuckerman, Pavlo Pinchuk, Michael Gleason, Marie Rivers, Owen Roberts, Travis Williams, Donna Heimiller, Sophie-Min Thomson, Trieu Mai, and Wesley Cole. Renewable Energy Technical Potential
and Supply Curves for the Contiguous United States: 2024 Edition, Golden, CO: National Renewable Energy Laboratory (NREL), 2024. NREL/TP-6A20-91900

Tags: hourly-generation, power-profiles, representative-profiles, rev-rep-profiles, siting-lab, sitinglab, solar-power, solar-pv, utility-pv
Organization: Department of Energy
COVID-19 Vaccination Demographics in the United States,National

Overall Demographic Characteristics of People Receiving COVID-19 Vaccinations in the United States at national level. Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities. 

Tags: administration, age, coronavirus, covid-19, demographics, ethnicity, immunization, izdl, race, sex, vaccination
Organization: U.S. Department of Health & Human Services
Big Spring Run sediment restoration data

Excess sediments and anthropogenic nutrients, especially nitrogen (N) and phosphorous (P), are leading cause of water quality impairment in streams and wetlands throughout the Mid-Atlantic Region of the US. Legacy sediments, deposited as a function of historic mill dam construction, may contribute significantly to the sediment and nutrient load of streams and waterways. In addition, the accumulation of legacy sediments in valley bottoms has buried extensive Holocene wetlands, and substantially altered the hydrology of entire watersheds. This data contains water quality measurements collected before and after sediment restoration at Big Spring Run in Pennsylvania.

Tags: chemicals, data-management, restoration, sediment, water-quality
Organization: U.S. Environmental Protection Agency
Dataset: Predictions of Cyanobacteria and Microcystin in Lakes across the Conterminous United States

With increasing concerns about freshwater cyanobacteria blooms, there is a need to identify which waterbodies are at risk for developing these blooms, especially those that produce cyanotoxins. To address this concern, we developed spatial statistical models using the US National Lakes Assessment, a survey with over 3,000 spring and summer observations of cyanobacteria abundance and microcystin concentration in lakes across the conterminous US. We combined these observations with other nationally available data to model which lake and watershed factors best explain the presence of harmful cyanobacterial blooms. We then used these models to estimate the cyanobacteria abundance and probability of microcystin detection in 124,500 lakes across the CONUS. This dataset includes the compiled data used to generate the models and the dataset used to generate prediction for a much larger population of lakes. The data package includes two tabular data files, two tabular metadata files, and one methods document.  

Tags: cyanobacteria, cyanotoxins, harmful-algae-blooms, lakes
Organization: U.S. Environmental Protection Agency
PFAS measured in multiple indoor media.  September 2024

Summary statistics for PFAS measured in tap water, glass slab wipes, and house dust.  Associated method and QC information. 

This dataset is associated with the following publication:
Chang, N., C. Eichler, E. Cohen-Hubal, J.D.S. Jason D. Surratt, G. Morrison, and B. Turpin. Exposure to Per- and Polyfluoroalkyl Substances (PFAS) in North Carolina Homes: Results from the Indoor PFAS Assessment (IPA) Campaign.   Environmental Science: Processes & Impacts. Royal Society of Chemistry, Cambridge,  UK, 27(6): 1654-1670, (2025).

Tags: dust, indoor-chemistry, indoor-environment, pfas, tapwater
Organization: U.S. Environmental Protection Agency
Lower Yaquina multiparameter water quality datasonde data set: January 2009 to April 2025

A Yellow Springs Inc. (YSI) multiparameter water quality datasonde (model numbers 6600 EDS, 6600 V2-4 or EXO2) was deployed off the Oregon State University (OSU) pump house dock or OSU Ship Ops dock at the following UTM, Zone 10 North coordinates: 4941737.6 North, 417258.8 East; 4941885.9 North, 417087.8 East, respectively. Temperature, salinity, depth, pH, dissolved oxygen, fluorescence, and turbidity data were collected from 22 January 2009 to 2 April 2025. The YSI sondes were replaced approximately monthly with newly calibrated instruments (calibrated following standard operating procedures) and were deployed at a fixed depth off the bottom. Upon retrieval, the sondes were returned to the laboratory where their performance was checked. A series of custom R scripts were used to post-process all data files. On the “ReadMe” tab is information which includes sonde model used through the deployment period, deployment depth (sonde height off the bottom), and comments related to specific deployment issues.

Tags: dataset, estuary, oregon, water-quality
Organization: U.S. Environmental Protection Agency
Crossing PDF Reports and Crossing Locator Map (5.02)

This report allows users to generate a Form 6180.71 Crossing Inventory PDF form, Form 6180.57 Highway-Rail Grade Crossing Accident/Incident PDF form and/or map a USDOT Crossing Inventory Number/ID in the FRA Crossing Locator application.

Tags: crossing, crossing-inventory, highway-rail-crossing, highway-rail-grade-crossing
Organization: Department of Transportation
2021 C-CAP Land Cover Data of the State of Maine

The NOAA Coastal Change Analysis Program (C-CAP) produces national standardized land cover and change products for the coastal regions of the U.S. C-CAP products inventory coastal intertidal areas, wetlands, and adjacent uplands with the goal of monitoring changes in these habitats through time. These maps are developed utilizing high resolution aerial imagery, primarily from the summer of 2021, along with lidar and various available ancillary information, and can be used to track changes in the landscape through time. This trend information gives important feedback to managers on the success or failure of management policies and programs and aid in developing a scientific understanding of the Earth system and its response to natural and human-induced changes. This understanding allows for the prediction of impacts due to these changes and the assessment of their cumulative effects, helping coastal resource managers make more informed regional decisions.

Tags: 2021, airplane, androscoggin, aroostook, c-cap, cameras, ccap, coastal zone, cumberland, doc/noaa/nos/ocm, earth science, franklin, hancock, kennebec, knox, land cover, land cover analysis, land surface, land use/land cover, land use/land cover classification, lincoln, maine, me, national ocean service, noaa, office of coastal management, oxford, penobscot, piscataquis, remotely sensed imagery/photos, sagadahoc, somerset, u.s. department of commerce, waldo, washington, york
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
COMET NYC v15.0.9 and v16.0.1 + background data

The City-based Optimization Model for Energy Technologies (COMET-NYC) is an energy system modeling tool developed by the U.S. Environmental Protection Agency. COMET is applied to New York City to support long-term, metropolitan-scale air, climate, and energy planning. Built on the internationally recognized TIMES modeling framework, COMET-NYC identifies the least-cost mix of technologies and fuels required to meet projected energy demands from 2010 to 2055 across NYC’s buildings, transportation, and electricity sectors.
COMET-NYC uses a scenario-based optimization approach to simulate the deployment of energy technologies under various assumptions, policies, and constraints. It incorporates local data sources to estimate and calibrate energy consumption and emissions at the borough level. It tracks both greenhouse gases (GHGs) and criteria air pollutants, supporting city-level climate and air quality policy evaluation.
The model includes detailed modules for the residential, commercial, industrial, and transportation sectors, accounting for current and future technology costs, fuel types, and efficiency parameters. It uses linear programming to minimize system-wide costs while meeting energy service demands and emissions targets. COMET-NYC supports both retrospective analysis (e.g., calibration to 2010, 2015, and 2020) and future scenario exploration, such as electrification strategies.
Two versions of the model are included in this dataset: v15.0.9, which underpinned emissions reduction planning during the 2023–2024 NYC budgeting cycle, and v16.0.1, which includes updated buildings data and improved calibration.
The documentation included various appendices for background data to build COMET-NYC. Appendix A through F are included in this dataset. Appendix A provides time slice documentation; Appendix B provides PLUTO 2010 data; Appendix C provides original 2014 building end-use demand splits for NYC; Appendix D provides EIA 2023 building technology data; APPENDIX E provides 2015 NYMTC SEDS population and employment forecasts; and APPENDIX F provides Documentation of Transportation Sector Emission Factors Updates and related input datasets for MOVES model. 

This dataset is associated with the following publication:
Kaplan, O., Z. Carroll, M. Pied, R. Chaffanjon, and K. Vaillancourt. Documentation for application of City-based Optimization Model for Energy Technologies (COMET) to New York City to support metropolitan-scale air, climate, and energy planning. U.S. Environmental Protection Agency, Washington, DC, USA, 2025.

Tags: air-pollution, city-planning, comet, energy, modeling
Organization: U.S. Environmental Protection Agency
Indoor Air Concentrations of Quartz Fiber Filter-Collected Ionic PFAS June 2024

Summary statistics of indoor and outdoor collected ionic PFAS where values have been mean
field blank subtracted. n.d. indicates non-detect and values with a “<” in front indicate that that PFAS was
detected but at concentrations below the MDL. Concentrations below the MDL were not adjusted. 

This dataset is associated with the following publication:
Chang, N., C. Eichler, D. Amparo, J. Zhou, K. Baumann, E. Cohen-Hubal, J. Surratt, G. Morrison, and B. Turpin. Indoor air concentrations of PM2.5 quartz fiber filter-collected ionic PFAS and emissions to outdoor air: findings from the IPA campaign.   Environmental Science: Processes & Impacts. Royal Society of Chemistry, Cambridge,  UK, 27(6): 1603-1618, (2025).

Tags: indoor-air, indoor-chemistry, indoor-environment, pfas
Organization: U.S. Environmental Protection Agency
Utah FORGE: GeoEnergie Suisse Microseismic Monitoring of 16A and 16B Circulation at Utah FORGE, August-September 2024

This dataset contains microseismic event data collected by Geo-Energie Suisse during circulation testing of wells 16A(78)-32 and 16B(78)-32 at the Utah FORGE site in August and September 2024. The data were recorded using a local monitoring network and include key event parameters such as timing, location coordinates, depth, magnitude, peak ground velocity, signal-to-noise ratios, and quality metrics.

The submission consists of multiple CSV files compiled into a single ZIP archive. All files share a consistent format with standardized column headers. An accompanying CSV file provides detailed descriptions of each header. Coordinate data are referenced to the local origin at ground level near the 16A wellhead. 

Tags: 16a-7832, 16b-7832, catalog, depth, egs, energy, event-catalog, event-location, geo-energy-suisse, geophysics, geothermal, magnitude, microseismic, microseismic-data, peak-ground-velocity, processed-data, seismic, seismic-clustering, snr, utah-forge, well-circulation
Organization: Department of Energy
Number of Reported Malaria Cases by County— United States, 2016

This dataset contains deidentified data from the National Malaria Surveillance System on the number of malaria cases reported in the United States in 2016, by county. Only counties reporting five or more cases are included in this dataset.

Tags: county, division-of-parasitic-diseases-and-malaria, malaria, united-states
Organization: U.S. Department of Health & Human Services
ICLUS v2.1.1 land use projections for SSP5 and RCP8.5 pathways

The methodology used to produce these projections differs from ICLUS v2.0 (https://cfpub.epa.gov/ncea/iclus/recordisplay.cfm?deid=322479). The demographic components of change (i.e., rates of fertility and mortality) for ICLUS v2.1 were taken directly from the Wittgenstein Centre Data Explorer (http://witt.null2.net/shiny/wic/). These projections were produced more recently than the Census projections used in ICLUS v2.0, and incorporate more recent observations of population change.

The SSP5 narrative describes a rapidly growing and flourishing global economy that remains heavily dependent on fossil fuels, and a U.S. population that exceeds 730 million by 2100. ICLUS v2.1 land use projections under SSP5 result in a considerably larger expansion of developed lands relative to SSP2. The the amenity value of local climate (average precipitation and temperature for summer and winter) is used in ICLUS v2.1.1 to influence migration patterns. The name of the climate model used as the source of future climate patterns is included at the end of the file name (e.g., "GISS-E2-R" or "HadGEM2-ES"). The approach for incorporating climate change into the migration model is described in the ICLUS v2.0 documentation.

RCP8.5 assumes that global greenhouse gas emissions increase through the year 2100.

Tags: 020:094, climate, human, land, modeling, united states
Organization: U.S. Environmental Protection Agency
EQUATES CMAQv5.3.2 CB6r5 High Resolution Deposition Data

These files contain gridded annual dry deposition estimates from 2002 to 2019 from the Environmental Protection Agency’s Community Multiscale Air Quality (CMAQ) model version 5.3.2 (see https://github.com/USEPA/CMAQ/tree/5.3.2) with the revised Surface Tiled Aerosol and Gaseous Exchange (STAGE) model (Appel et al., 2021) created for the EPA’s Air QUAlity TimE Series (EQUATES, https://www.epa.gov/cmaq/equates) project. These deposition fields have been downscaled from the native 12 km resolution to 300 m by mapping STAGE land use specific deposition to Moderate Resolution Imaging Spectrometer (MODIS) 17 category International Geosphere-Biosphere Programme (IGBP) classification scheme. For details on model inputs, please refer to the EPA’s EQUATES (https://www.epa.gov/cmaq/equates) project and Benish et al., 2022.

Tags: cmaq, equates, nitrogen-deposition, ozone-depletion, sulfur-deposition
Organization: U.S. Environmental Protection Agency
ICLUS v2.1.1 land use projections for SSP2 and RCP4.5 pathways

The methodology used to produce these projections differs from ICLUS v2.0 (https://cfpub.epa.gov/ncea/iclus/recordisplay.cfm?deid=322479). The demographic components of change (i.e., rates of fertility and mortality) for ICLUS v2.1 were taken directly from the Wittgenstein Centre Data Explorer (http://witt.null2.net/shiny/wic/). These projections were produced more recently than the Census projections used in ICLUS v2.0, and incorporate more recent observations of population change.

SSP2 is a “middle-of-the-road” projection, where social, economic and technological trends do not shift markedly from historical patterns, resulting in a U.S. population of 455 million people by 2100. Domestic migration trends remain largely consistent with the recent past, however the amenity value of local climate (average precipitation and temperature for summer and winter) is used in ICLUS v2.1.1 to influence migration patterns. The name of the climate model used as the source of future climate patterns is included at the end of the file name (e.g., "GISS-E2-R" or "HadGEM2-ES"). The approach for incorporating climate change into the migration model is described in the ICLUS v2.0 documentation.

RCP4.5 assumes that global greenhouse gas emissions increase into the latter part of the century, before leveling off and eventually stabilizing by 2100 as a result of various climate change policies.

Tags: 020:094, climate, human, land, modeling, united states
Organization: U.S. Environmental Protection Agency
ICLUS v2.1.1 population projections

The methodology used to produce these projections differs from ICLUS v2.0 (https://cfpub.epa.gov/ncea/iclus/recordisplay.cfm?deid=322479). The demographic components of change (i.e., rates of fertility and mortality) for ICLUS v2.1 were taken directly from the Wittgenstein Centre Data Explorer (http://witt.null2.net/shiny/wic/). These projections were produced more recently than the Census projections used in ICLUS v2.0, and incorporate more recent observations of population change.

SSP2 is a “middle-of-the-road” projection, where social, economic and technological trends do not shift markedly from historical patterns, resulting in a U.S. population of 455 million people by 2100. Domestic migration trends remain largely consistent with the recent past, however the amenity value of local climate (average precipitation and temperature for summer and winter) is used in ICLUS v2.1.1 to influence migration patterns. The name of the climate model used as the source of future climate patterns is included at the end of the file name (e.g., "GISS-E2-R" or "HadGEM2-ES"). The approach for incorporating climate change into the migration model is described in the ICLUS v2.0 documentation.

The SSP5 narrative describes a rapidly growing and flourishing global economy that remains heavily dependent on fossil fuels, and a U.S. population that exceeds 730 million by 2100. ICLUS v2.1 land use projections under SSP5 result in a considerably larger expansion of developed lands relative to SSP2. The the amenity value of local climate (average precipitation and temperature for summer and winter) is used in ICLUS v2.1.1 to influence migration patterns. The name of the climate model used as the source of future climate patterns is included at the end of the file name (e.g., "GISS-E2-R" or "HadGEM2-ES"). The approach for incorporating climate change into the migration model is described in the ICLUS v2.0 documentation.

RCP4.5 assumes that global greenhoue gas emissions increase into the latter part of the century, before leveling off and eventually stabilizing by 2100 as a result of various climate change policies. RCP8.5 assumes that global greenhoue gas emissions increase through the year 2100. 

Tags: 020:094, climate, human, land, modeling, united states
Organization: U.S. Environmental Protection Agency