AndreaBozzo/ceres-open-data-index huggingface dataset:
Drug Abuse Warning Network US (DAWN-NS-1997)

<p>The Drug Abuse Warning Network (DAWN) survey is designed to<br />
capture data on emergency department (ED) episodes that are induced by<br />
or related to the use of an illicit, prescription, or over-the-counter<br />
drug. For purposes of this collection, a drug "episode" is an ED visit<br />
that was induced by or related to the use of an illegal drug or the<br />
nonmedical use of a legal drug for patients aged six years and<br />
older. A drug "mention" refers to a substance that was mentioned<br />
during a drug-related ED episode. Because up to four drugs can be<br />
reported for each drug abuse episode, there are more mentions than<br />
episodes in the data. Individual persons may also be included more<br />
than once in the data. Within each facility participating in DAWN, a<br />
designated reporter, usually a member of the emergency department or<br />
medical records staff, was responsible for identifying drug-related<br />
episodes and recording and submitting data on each case. An episode<br />
report was submitted for each patient visiting a DAWN emergency<br />
department whose presenting problem(s) was/were related to their own<br />
drug use. DAWN produces estimates of drug-related emergency department<br />
visits for 50 specific drugs, drug categories, or combinations of<br />
drugs, including the following: acetaminophen, alcohol in combination<br />
with other drugs, alprazolam, amitriptyline, amphetamines, aspirin,<br />
cocaine, codeine, diazepam, diphenhydramine, fluoxetine,<br />
heroin/morphine, inhalants/solvents/aerosols, LSD, lorazepam,<br />
marijuana/hashish, methadone, methamphetamine, and PCP/PCP in<br />
combination with other drugs. The use of alcohol alone is not<br />
reported. The route of administration and form of drug used (e.g.,<br />
powder, tablet, liquid) are included for each drug. Data collected for<br />
DAWN also include drug use motive and total drug mentions in the<br />
episode, as well as race, age, patient disposition, reason for ED<br />
visit, and day of the week, quarter, and year of episode.This study has 1 Data Set.</p>

Tags: demographic-characteristics, drug-abuse, drug-dependence, drug-overdose, drug-use, emergencies, emergency-services, health-behavior, hospitalization, substance-abuse
Organization: U.S. Department of Health & Human Services
Aid to Families with Dependent Children Quality Control Review Panel Decisions

<p>Decisions issued by the Aid to Families with Dependent Children (AFDC) Quality Control Review Panel of the Departmental Appeals Board concerning the AFDC program (predecessor of Temporary Aid for Needy Families) established by title IV-A of the Social Security Act.</p>

Tags: acf, administrative, adopt, afdc, affirm, appeal, appellate, assessment, assistance, award, balance, beneficiary, benefit, billing, board, cancellation, charge, children, code, collect, compliance, control, cost, coverage, crd, dab, debar, debt, decision, denial, determination, disallowance, disapprove, discontinution, eligibility, enforcement, enrollment, exclusion, expenditure, fiscal, food-stamp, funding, grant, health-care, hearing, income, invalid, judge, law, marketing, misconduct, modify, non-compliance, overpayment, participation, patient, payment, penalty, quality, recipient, reduction, repay, rescind, reverse, review, sanction, schip, ssa, ssn, tanf, termination, underpayment, violation, welfare, withold
Organization: U.S. Department of Health & Human Services
FDA Peanut-Containing Product Recall

<p>The FDA Peanut-Containing Product Recall widget allows you to browse the Food and Drug Administration (FDA) database of peanut butter and peanut-containing products subject to recall. This database makes it easier for you to determine whether any of the products you have at home are subject to recent recalls, and will be updated as new information becomes available.</p>

Tags: brownie, cake-and-pie, candy, cereal, cookie, cracker, donut, fda, federal-widget, ice-cream, national, peanut-butter, pet-food, product, product-recalls, recalls, safety, salmonella, snack-bars
Organization: U.S. Department of Health & Human Services
Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2021-2023

2021 to 2023, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and racial/ethnic group. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke

Tags: cardiovascular, cardiovascular-disease, counties, county, heart, heart-disease
Organization: U.S. Department of Health & Human Services
Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2021-2023

2021 to 2023, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and racial/ethnic group. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke

Tags: cardiovascular, cardiovascular-disease, cerebrovascular-disease, counties, county, stroke
Organization: U.S. Department of Health & Human Services
Alaska Weather Observation Network

Alaska Weather Observation Network, Digital Data Series 25, provides access to current and archived observations of hydrometeorological variables collected at weather stations in DGGS's network in Alaska. These stations, often situated in high-elevation and remote regions, provide critical data in areas that are otherwise under-observed. The network is designed to capture long-term, continuous measurements of atmospheric and environmental conditions, with each station transmitting data at intervals specific to its configuration. Timestamped in Alaska Standard Time (UTC-9) or Alaska Daylight Time (UTC-8), the current conditions reflect the most recent transmission, while archived datasets offer a historical record of environmental variability. The data collected are instrumental in supporting a wide range of scientific and operational applications, including geologic hazard assessment, environmental monitoring, extreme weather analysis, and climate modeling. By targeting data-scarce regions and elevations, the DGGS network enhances the spatial and temporal resolution of hydrometeorological datasets across Alaska, contributing to improved forecasting, reanalysis efforts, and validation of climate simulations. This data collection is released with an open end-user license. All files can be downloaded from the Alaska Division of Geological & Geophysical Surveys website (http://doi.org/10.14509/31686).

Tags: alaska, avalanche, climate, climate change, coastal, coastal and river, dggs, effluent, emergency preparedness, engineering, engineering geology, environment, environmental, flood, fluvial, geologic, geologic hazards, geological process, geology, geotechnical, glacial processes, hydrology, hydrology and surficial geology, hydropower, ice, instrumentation, interglaciation, landslide susceptibility, state of, water
Organization: State of Alaska
Occupancy Permits in 2013

<div style='text-align:Left;'><div><div><p><span>The dataset contains locations and attributes for above ground permits applied for and approved by the District Department of Transportation. They are existing occupied constructions and events. Examples include: moving trucks, roll off debris container, moving storage container, construction staging area, mobile crane work zone, other reserved parking. The public space permit process is described on the DDOT website </span><a href='https://ddot.dc.gov:443/' style='text-decoration:underline;' rel='nofollow ugc'><span>https://ddot.dc.gov</span></a><span>.</span></p><p><span>These data are shared via an automated process where addresses are batch matched (geocoded) to the District's Master Address Repository. Users may find that some data points will contain 0,0 for X,Y coordinates resulting in inconsistent spatial locations. Addresses for these data points could not be automatically geocoded and will need to be manually geocoded to 'best fit' locations in DC. Use the </span><a href='https://mar2.data.dc.gov:443/' style='text-decoration:underline;' rel='nofollow ugc'><span>MAR Geocoder</span></a><span> to help complete this.</span></p></div></div></div>

Tags: cdw, ddot, district-of-columbia, feeds, permit, public-space, public-space-permit, transportation, washington-dc
Organization: District of Columbia
1.01 ALS Response Time (summary)

This table provides summary data representing annual averages for Advanced Life Support (ASL) response time. The data shows the average performance across the entire calendar year for response time less than or equal to 7 minutes.<br /><br />Data is based on calls received by the Phoenix 911 system and given an Advanced Life Support (ALS) response code, indicating the nature of the call. Alarm Processing Time is calculated from the time Phoenix 911 answers the call to the time Phoenix 911 notifies a Fire department Unit. This is also known as Dispatch Time to Notification Time. Turnout Time is calculated from the time a Fire Department Unit is notified of the call to the time the unit rolls out of the station or begins proceeding to the incident. This is also known as Acknowledgment Time to Roll Time. Travel Time is calculated from the time a Fire department Unit starts proceeding to an incident to the time it arrives at the incident. This is also known as Roll Time to Arrival Time.<div><br /></div><div>The performance measure dashboard is available at&nbsp;<a href='https://safe-and-secure-communities-tempegov.hub.arcgis.com/pages/als-response-time' target='_blank' rel='nofollow ugc noopener noreferrer'>1.01 ALS Response Time</a>.</div><div><br /></div><div><div><b>Additional Information&nbsp;</b></div><div><br /></div><div>Source: ImageTrend software</div><div>Contact:  Mariam Coskun</div><div>Contact E-Mail: &nbsp;Mariam_Coskun@tempe.gov</div><div>Data Source Type:  Tabular</div><div>Preparation Method: &nbsp;Queried from ImageTrend using the Report Writer feature.</div><div>Publish Frequency:  Annual</div><div>Publish Method:  Manual</div><div><br /></div><div><a href='https://tempe.gitbook.io/data-dictionary/public-safety/1.01-advanced-life-support-als-response-time-data-dictionary' target='_blank' rel='nofollow ugc noopener noreferrer'>Data Dictionary</a></div></div>

Tags: acknowledge-time, advanced-life-support, alarm-processing, als, arrival, dispatch-time, notification-time, roll-time, time-to-roll, travel-time, turnout-time
Organization: City of Tempe
Crime Incidents in 2012

<div style='text-align:Left;'><div><div><p><span>The dataset contains a subset of locations and attributes of incidents reported in the ASAP (Analytical Services Application) crime report database by the District of Columbia Metropolitan Police Department (MPD). Visit </span><a href='https://crimecards.dc.gov/' style='text-decoration:underline;' rel='nofollow ugc'><span>crimecards.dc.gov</span></a><span> for more information. This data is shared via an automated process where addresses are geocoded to the District's Master Address Repository and assigned to the appropriate street block. Block locations for some crime points could not be automatically assigned resulting in 0,0 for x,y coordinates. These can be interactively assigned using the </span><a href='https://mar2.data.dc.gov:443/' style='text-decoration:underline;' rel='nofollow ugc'><span>MAR Geocoder</span></a><span>.</span></p><p><span>On February 1 2020, the methodology of geography assignments of crime data was modified to increase accuracy. From January 1 2020 going forward, all crime data will have Ward, ANC, SMD, BID, Neighborhood Cluster, Voting Precinct, Block Group and Census Tract values calculated prior to, rather than after, anonymization to the block level. This change impacts approximately one percent of Ward assignments.</span></p></div></div></div>

Tags: assault, burglary, cdw, crime, district-of-columbia, feeds, homicide, mpd, robbery, safety, theft, washington-dc
Organization: District of Columbia
2022 Shanghai lockdown data

Emission input and other input for running CMAQ model. This dataset is not publicly accessible because: Own by the collaborators. It can be accessed through the following means: send a request to the corresponding author. Format: netCDF format. 

This dataset is associated with the following publication:
Wang, Q., Y. Li, F. Zhong, W. Wu, H. Zhang, R. Wang, Y. Duan, Q. Fu, Q. Li, L. Wang, S. Yu, A. Mellouki, D. Wong, and J. Chen. Ground ozone rise during the 2022 Shanghai lockdown caused by the unfavorable emission reduction ratio of nitrogen oxides and volatile organic compounds.   ATMOSPHERIC ENVIRONMENT. Elsevier B.V., Amsterdam,  NETHERLANDS, 340: 120851, (2025).

Tags: lockdown, nitrogen-oxides, ozone, voc
Organization: U.S. Environmental Protection Agency
Dynamics of SARS-CoV-2 Variants in Southwest Ohio Municipal Wastewater

The data set includes the sample metadata, quantitative data of measurements of SARS-CoV-2 gene fragments in wastewater and variant presence interpreted from sequence data. 

This dataset is associated with the following publication:
Nagarkar, M., S. Keely, E. Wheaton, C. Hart, M. Jahne, J. Garland, E. Varughese, and N. Brinkman. Dynamics of SARS-CoV-2 Variants in Southwest Ohio Municipal Wastewater.   Environmental Science: Water Research & Technology. Royal Society of Chemistry, Cambridge,  UK, 11(6): 1494-1504, (2025).

Tags: sars-cov-2, variant-sequencing, wastewater-surveillance
Organization: U.S. Environmental Protection Agency
Dataset for Cleaning Biological Contamination using Laundering

After a wide-area biological contamination incident populations residing within minimally contaminated areas may be instructed to shelter-in-place and need to perform infection control within their homes. Previous research within HSMMD has found hot water laundering effective for the decontamination of Phi6 bacteriophage and hot water laundering + bleach effective for the decontamination of the B. anthracis surrogate Bg. This dataset expands upon previous work to include six different laundering methods, some including sanitizers, and four different microorganisms (Phi6, MS2, Klebsiella pneumoniae, and Staphylococcus aureus). The dataset includes eight different textiles.

Tags: biological-contamination, decontamination, homeland-security, laundering, sanitizers
Organization: U.S. Environmental Protection Agency
Building Performance Database

The Building Performance Database (BPD) is the largest publicly-available source of measured energy performance data for buildings in the United States. It contains information about the building's energy use, location, and physical and operational characteristics. The BPD can be used by building owners, operators, architects and engineers to compare a building's energy performance against customized peer groups, identify energy performance opportunities, and set energy performance. It can also be used by energy performance program implementers to analyze energy performance features and trends in the building stock. The BPD compiles data from various data sources, converts it into a standard format, cleanses and quality checks the data, and provides users with access to the data in a way that maintains anonymity for data providers.

The BPD consists of the database itself, a graphical user interface allowing exploration of the data, and an application programming interface allowing the development of third-party applications using the data.

Tags: bpd, building-efficiency, building-performance-database, buildings, characteristics, data, database, efficiency-benchmarking, energy, energy-efficiency, energy-use, performance, processed-data, united-states
Organization: Department of Energy
ESI GIS Data and PDF Maps: Environmental Sensitivity Index including GIS Data and Maps (for the U.S. Shorelines, including Alaska, Hawaii, and Puerto Rico)

Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the event of an oil spill incident. ESI maps are a product of the Hazardous Materials Response Division of the Office of Response and Restoration (OR&R).ESI maps contain three types of information: shoreline habitats (classified according to their sensitivity to oiling), human-use resources, and sensitive biological resources. Most often, this information is plotted on 7.5 minute USGS quadrangles, although in Alaska, USGS topographic maps at scales of 1:63,360 and 1:250,000 are used, and in other atlases, NOAA charts have been used as the base map. Collections of these maps, grouped by state or a logical geographic area, are published as ESI atlases.  Digital data have been published for most of the U.S. shoreline, including Alaska, Hawaii and Puerto Rico.

Tags: alabama esi, aleutian islands alaska esi, american samoa, american samoa esi, and new jersey esi, bristol bay alaska esi, central california esi, coastal resources, coastal zone management, columbia river esi, connecticut, cook inlet alaska esi, delaware, doc/noaa/nos/orr, envionmental monitoring, environmental sensitivity index, esi, esi atlas, esi maps, florida esi, georgia esi, golfo de fonseca (honduras and nicaragua), great lakes esi, guam and northern mariana islands esi, hawaii esi, hudson river esi, hydrography, kodiak alaska esi, louisiana esi, maine evi, maryland esi, massachusetts esi, mississippi esi, national ocean service, new hampshire esi, new jersey, new york, noaa, north carolina esi, north slope alaska esi, north slope alaska summary maps esi, northern california esi, northwest arctic alaska esi, office of response and restoration, oil spill planning, pennsylvania esi, prince william sound alaska esi, puerto rican shoreline, puerto rico esi, rhode island, san francisco bay california esi, sensitivity maps, south carolina esi, southeast alaska esi, southern california esi, texas upper coast esi, u.s. department of commerce, u.s. shorelines, virgin islands esi, virginia esi, washington puget sound esi, western alaska esi, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
QHP Landscape Instructions PY2025 Individual Dental

The Dental Individual Market file of the QHP Landscape Files contains information on certified dental plans offered through an Exchange to consumers in the individual market. These plans are also known as Stand-alone Dental Plans (SADPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.

Tags: individual, individual-market-dental, py2025, qhp-landscape-instructions, sadp
Organization: U.S. Department of Health & Human Services
QHP Landscape Instructions PY2025 Dental SHOP

The Dental SHOP Market file of the QHP Landscape Files contains information on certified dental plans offered through an Exchange to employers in the Small Business Health Options Program (SHOP) market. These plans are also known as Stand-alone Dental Plans (SADPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.

Tags: py2025, qhp-landscape-instructions, sadp, shop, shop-market-dental
Organization: U.S. Department of Health & Human Services
QHP Landscape Instructions PY2025 Individual Medical

The Medical Individual Market file of the QHP Landscape Files contains information on certified medical plans offered through an Exchange to consumers in the individual market. These plans are also known as Qualified Health Plans (QHPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.

Tags: individual, individual-market-medical, py2025, qhp, qhp-landscape-instructions
Organization: U.S. Department of Health & Human Services
Rate PUF – PY2025

The Rate PUF (Rate-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The Rate-PUF contains plan-level data on rates based on an eligible subscriber’s age, tobacco use, and geographic location; and family-tier rates.

Tags: exchange-puf, marketplace-puf, py2025, rate
Organization: U.S. Department of Health & Human Services
QHP Landscape PY2025 Individual Dental

The Dental Individual Market file of the QHP Landscape Files contains information on certified dental plans offered through an Exchange to consumers in the individual market. These plans are also known as Stand-alone Dental Plans (SADPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.

Tags: individual, individual-market-dental, py2025, qhp-landscape, sadp
Organization: U.S. Department of Health & Human Services
Nutrition, Physical Activity, and Obesity - Youth Risk Behavior Surveillance System

This dataset includes data on adolescent's diet, physical activity, and weight status from Youth Risk Behavior Surveillance System (YRBSS). This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about YRBSS visit https://www.cdc.gov/healthyyouth/data/yrbs/index.htm.

Tags: adolescents, dnpao, fruit, obesity, overweight, physical-activity, soda, tv, vegetables, yrbss
Organization: U.S. Department of Health & Human Services
QHP Landscape Instructions PY2025 Medical SHOP

The Medical SHOP Market file of the QHP Landscape Files contains information on certified medical plans offered through an Exchange to employers in the Small Business Health Options Program (SHOP) market. These plans are also known as Qualified Health Plans (QHPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.

Tags: py2025, qhp, qhp-landscape-instructions, shop, shop-market-medical
Organization: U.S. Department of Health & Human Services
Reverse Osmosis Simulation Data

This dataset consists of computational fluid dynamics (CFD) output for various spacer configurations in a feed-water channel in reverse osmosis (RO) applications. Feed-water channels transport brine solution to the RO membrane surfaces. The spacers embedded in the channels help improve membrane performance by disrupting the concentration boundary layer growth on membrane surfaces. Refer to the "Related Work" resource below for more details. This dataset considers a feed-water channel of length 150mm. The inlet brine velocity and concentration are fixed at 0.1m/s and 100kg/m3 respectively. The diameter of the cylindrical spacers is fixed as 0.3mm and six varying inter-spacer distances of 0.75mm, 1mm, 1.5mm, 2mm, 2.5mm, and 3mm are simulated. The dataset comprising the steady, spatial fields of solute concentration, velocity, and density near each spacer is placed in the folder corresponding to the spacer configuration considered. We run two sets of CFD simulations and include the outputs from both sets for each configuration: (1) with a coarser mesh, producing low-resolution (LR) data of spatial resolution 20x20, and (2) with a finer mesh, producing high-resolution (HR) data of spatial resolution 100x100. These data points can be treated as images with the quantities of interest as their channels and can be used to train machine learning models to learn a mapping from the LR images as inputs to the HR images as outputs.

Tags: ai-surrogate, brine, cfd, clean-water, data, data-driven, dataset, energy, membrane-surface, resource-extraction, reverse-osmosis, ro, water
Organization: Department of Energy