AndreaBozzo/ceres-open-data-index huggingface dataset:
High Tide Flooding Products from NOAA CO-OPS

High tide flooding is the overflow or excess accumulation of water that covers typically dry coastal land and occurs during high tides.  As relative sea levels rise, high tide flooding (HTF) is occurring more frequently, even on sunny days.  HTF creates short term impacts like road closures, overflowing storm drains, and temporary business closures.  Over the long term, recurrent HTF causes more severe impacts like damage to below-ground infrastructure and degraded wetlands.

Through NOAA's National Ocean Service (NOS), the Center for Operational Oceanographic Products and Services (CO-OPS) and its predecessors have gathered oceanographic data along our nation's coasts for over 200 years to protect life, property, and the environment.  Serving both the public and other government agencies, CO-OPS is the authoritative source for accurate, reliable, and timely water-level and current measurements that support safe and efficient maritime commerce, sound coastal management, and recreation.  As part of those roles, CO-OPS offers a suite of interactive products that helps communities understand when, where, and how often high tide flooding may occur along the coast to better inform their coastal flood planning and mitigation efforts. The suite includes a summary of historical HTF days as well as Monthly and Annual HTF Outlooks which are produced for specific stations.

Tags: acoustic sounders, alabama, alaska, american samoa, atlantic ocean, atmospheric/ocean indicators, california, center for operational oceanographic products and services, central pacific ocean, climate indicators, co-ops metadata library, coastal monitoring, coastal processes, coastal sea level stations, coastal u.s. territories, coastal united states, compound extreme events, connecticut, continent, delaware, district of columbia, doc/noaa/nos/co-ops, earth science, extreme weather, flooding, florida, geomorphic landforms/processes, georgia, goes, guam, gulf of america, gulf of mexico, hawaii, hawaiian islands, land surface, louisiana, maine, marine environment monitoring, marshall islands, maryland, massachusetts, micronesia, microwave water level (mwwl) sensor, midway atoll, mississippi, national ocean service, national water level observation network, new hampshire, new jersey, new york, noaa, noaa geostationary operational environmental satellites, north america, north atlantic ocean, north carolina, nwlon, nwlon station, ocean, oceans, oregon, pacific ocean, pennsylvania, physical oceanographic real-time system, ports, pressure sensors, rhode island, sea surface height, south carolina, storm surge, texas, tidal height, tidal range, tide gauges, tides, tides and currents, u.s. department of commerce, united states of america, virginia, wake island, washington, water level gauges, water level predictions, western pacific ocean
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Stellwagen Bank National Marine Sanctuary Boundary (polygon)

NOAA's Office of National Marine Sanctuaries serves as the trustee for a national network of underwater parks encompassing both marine and Great Lakes waters from Washington state to the Florida Keys, and from Lake Huron to American Samoa. The network includes a system of national marine sanctuaries and marine national monuments. Few places on the planet can compete with the diversity of the National Marine Sanctuary System, which protects America's most iconic undersea natural and cultural resources. The system works with diverse partners and stakeholders to promote responsible, sustainable ocean uses that ensure the health of our most valued ocean and Great Lake places. By investing in innovative solutions, we strengthen these iconic places to address 21st-century challenges while supporting America's commerce and tourism. These unique locations inspire people to visit, value, and steward our nation's iconic ocean and Great Lakes places.

Tags: atlantic ocean, cfr, code of federal regulations, doc/noaa/nos/nms, marine, marine boundaries, marine protected area, massachusetts, mpa, national marine sanctuaries, national marine sanctuary, national marine sanctuary boundaries, national ocean service, nautical charting, new hampshire, nms, noaa, onms, stellwagen, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coastal Ocean Reanalysis (CORA)

NOAA's Coastal Ocean Reanalysis (CORA) couples long-term water level observations with hydrodynamic modeling to create historical information between tide stations to bridge gaps in service and serve the Nation's coastal communities effectively and accurately. CORA water levels are simulated with ADvanced CIRCulation (ADCIRC) for ocean circulation modeling and coupled with a phase-averaging model called Simulating WAves Nearshore (SWAN) to produce surface gravity wave spectra and account for time-averaged wave contributions. Coastal water level observations from NOAA's Center for Operational Oceanographic Products and Services (CO-OPS) National Water Level Observation Network (NWLON) are low-pass filtered and assimilated into the model to account for long-term sea level variability and to reduce model errors, and validate results. The domain of this reanalysis spans the Gulf, Atlantic (East), and Caribbean coastlines (or CORA-GEC). 

The reanalysis (1979-2022) was performed through the partnership of NOAA National Ocean Service (NOS) and University of North Carolina's (UNC) Institute of Marine Sciences and Renaissance Computing Institute (RENCI). Validation of CORA-GEC water levels compared to tide gauge observations was conducted in collaboration with the University of Hawaii Sea Level Center (UHSLC). This modeled dataset, also provides hourly water levels for unstructured grid nodes along state shorelines and in 500m structured grids. Secondary derived datasets including daily maximums (daily maxes), monthly statistics, and peak over thresholds are included for the structured 500m grids. Tidal datums, extreme water levels and sub-seasonal to annual high tide flooding predictions and outlooks are also among the derived products to be added. Moreover, the domain of the analysis will be expanded to the Pacific and the dataset to be included when it becomes available.

Tags: atmospheric/ocean indicators, center for operational oceanographic products and services, climate indicators, co-ops metadata library, coastal processes, degradation, doc/noaa/nos/co-ops, earth science, geomorphic landforms/processes, inundation, inundation amount, mean sea level, national ocean service, noaa, ocean waves, oceans, sea level, sea level anomaly, sea level rise, sea surface height, sea surface height anomaly (ssha), sea surface topography, solid earth, storm surge, surface water, surface water processes/measurements, terrestrial hydrosphere, tidal height, tidal range, tides, u.s. department of commerce, wave direction, wave erosion, wave frequency, wave height, wave period, wave runup, wave spectra, wave speed/direction
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOS Hydrodynamic Model Outputs of Operational Forecast System (OFS)

NOAA develops, operates and maintains a national network of operational nowcast and forecast hydrodynamic modeling systems referred to as Operational Forecast Systems (OFS) to further support its mission goals and priorities for safe navigation and understanding environmental conditions. The OFS have typically been the result of collaborations within the National Ocean Service (NOS).  However, critical partners in NOAA's Office of Oceanic and Atmospheric Research (OAR), other government agencies and academia have also resulted in the implementation of an OFS.  Looking ahead, NOS will continue to work with its external research partners to enhance its modeling capabilities. An OFS consists of the automated integration of observing system data streams, hydrodynamic model predictions, product dissemination and continuous quality control monitoring. State-of-the-art numerical hydrodynamic models driven by real-time data and model forecast guidance form the core of these end-to-end systems.

The models generate nowcast and forecast guidance outputs for four environmental parameters: water levels, water temperatures, salinity and currents. The web pages display time series and animations of the aforementioned four parameters along with the NWS forecasted winds used to force the latest OFS nowcast and forecast runs.

The OFS are implemented in critical ports, harbors, estuaries, the Great Lakes and coastal waters of the United States, and join NOS' operational oceanographic capabilities to form a national backbone of real-time data, tidal and tidal current predictions, data management and operational modeling. The OFS provide nowcast and short-term (0 - 120 hour) forecast guidance.

Tags: alabama, alaska, atlantic ocean, atmosphere, atmospheric winds, british columbia, canada, center for operational oceanographic products and services, climate models, co-ops metadata library, coastal processes, continent, current profiles, delaware, doc/noaa/nos/co-ops, earth science, eastern pacific ocean, florida, great lakes, gulf of america, gulf of maine, gulf of mexico, louisiana, maine, maryland, massachusetts, mexico, mississippi, national ocean service, new hampshire, new jersey, new york, noaa, north america, north atlantic ocean, ocean, ocean circulation, ocean currents, oceans, oregon, pacific ocean, pennsylvania, rhode island, sea surface height, speed profiles, surface currents, surface winds, texas, tidal height, u.s. department of commerce, united states of america, virginia, washington, wind direction, wind speed
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Restructured BETOS Classification System

The Restructured BETOS Classification System (RBCS) dataset is a taxonomy that allows researchers to group healthcare service codes for Medicare Part B services (i.e., HCPCS codes) into clinically meaningful categories and subcategories. It is based on the original Berenson-Eggers Type of Service (BETOS) classification created in the 1980s, and includes notable updates such as Part B non-physician services. The RBCS will undergo annual updates by a technical expert panel of researchers and clinicians.

Tags: hospitals-facilities, medical-suppliers-equipment, medicare, medicare-advantage, original-medicare, outpatient-facilities, physicians-practitioners
Organization: U.S. Department of Health & Human Services
An aggregated dataset of serially collected influenza A virus morbidity and titer measurements from virus-infected ferrets.

Data from influenza A virus (IAV) infected ferrets (Mustela putorius furo) provides invaluable information towards the study of novel and emerging viruses that pose a threat to human health. This gold standard animal model can recapitulate many clinical signs of infection present in IAV-infected humans, support virus replication of human and zoonotic strains without prior adaptation, and permit evaluation of virus transmissibility by multiple modes. While ferrets have been employed in risk assessment settings for >20 years, results from this work are typically reported in discrete stand-alone publications, making aggregation of raw data from this work over time nearly impossible. Here, we describe a dataset of 728 ferrets inoculated with 126 unique IAV, conducted by a single research group (NCIRD/ID/IPB/Pathogenesis Laboratory Team) under a uniform experimental protocol. This collection of morbidity, mortality, and viral titer data represents the largest publicly available dataset to date of in vivo-generated IAV infection outcomes on a per-individual ferret level.

Published Data Descriptor for more information:
Kieran TJ, Sun X, Creager HM, Tumpey TM, Maine TR, Belser JA. 2024. An aggregated dataset of serial morbidity and titer measurements from influenza A virus-infected ferrets. Sci Data 11, 510. https://doi.org/10.1038/s41597-024-03256-6

Additional publications using and describing data:
Kieran TJ, Sun X, Maines TR, Beauchemin CAA, Belser JA. 2024. Exploring associations between viral titer measurements and disease outcomes in ferrets inoculated with 125 contemporary influenza A viruses. J Virol98:e01661-23.https://doi.org/10.1128/jvi.01661-23

Belser JA, Kieran TJ, Mitchell ZA, Sun X, Mayfield K, Tumpey TM, Spengler JR, Maines TR. 2024. Key considerations to improve the normalization, interpretation and reproducibility of morbidity data in mammalian models of viral disease. Dis Model Mech; 17 (3): dmm050511. doi: https://doi.org/10.1242/dmm.050511

Kieran TJ, Sun X, Maines TR, Belser JA. 2024. Machine learning approaches for influenza A virus risk assessment identifies predictive correlates using ferret model in vivo data. Communications Biology 7, 927. https://doi.org/10.1038/s42003-024-06629-0

Tags: animal-model, ferret, flu, in-vivo, influenza, pathogenesis, risk-assessment, virus
Organization: U.S. Department of Health & Human Services
PLACES: Local Data for Better Health, ZCTA Data 2024 release

This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related scocial needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population data, and American Community Survey 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at   www.cdc.gov/places.

Tags: behaviors, brfss, disability, health, outcomes, places, prevalence, prevention, risk, status, zcta, zip-code
Organization: U.S. Department of Health & Human Services
Help America Vote Verification (HAVV) Transactions by State - Week Ending February 21, 2026

This dataset represents the results of the 4-digit match performed using the Social Security - Help America Vote Verification (HAVV) system. Report for week ending February 21, 2026.

Tags: 2025, february, foia, freedom-of-information-act, hava, havv, help-america-vote-act, help-america-vote-verification, social-security, social-security-administration, ssa, voter, voter-registration
Organization: Social Security Administration
Field Office Contact Information

SSA provides a web service and downloadable file for SSA Field Office locations, telephone numbers, and hours of operation. (Note: If you think an office might be closed due to an emergency, check www.ssa.gov/agency/emergency)

Tags: address, api, application-developers, field-office, field-office-locations, foia, freedom-of-information, hours-of-operation, location, rest, social-security, social-security-administration, ssa, telephone-numbers
Organization: Social Security Administration
OASDI Beneficiaries by State and County - 2012

This annual publication focuses on the Social Security beneficiary population receiving Old-Age, Survivors, and Disability Insurance (OASDI) benefits at the local level. It presents basic program data on the number and type of beneficiaries and the amount of benefits paid in each state and county. It also shows the numbers of men and women aged 65 or older receiving benefits. The data include only persons whose benefits are currently payable. Report for 2012.

Tags: 2012, 65-or-older, aged, children, county, current-payment-status, disability-insurance, disabled-worker, men, oasdi, old-age, parents, retired-worker, social-security, social-security-administration, spouse, ssa, state, survivors, widowers, women
Organization: Social Security Administration
pH, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using Alkalinity titrator, CTD and other instruments from the BELGICA in the North Atlantic Ocean from 2007-05-10 to 2007-05-24 (NCEI Accession 0112839)

This dataset includes chemical, discrete sample, physical and profile data collected from BELGICA in the North Atlantic Ocean from 2007-05-10 to 2007-05-24. These data include ALKALINITY, DISSOLVED OXYGEN, HYDROSTATIC PRESSURE, PHOSPHATE, Potential temperature (theta), SALINITY, WATER TEMPERATURE and pH. The instruments used to collect these data include Alkalinity titrator, CTD, bottle and pH meter.

These data were collected by Alberto Borges of University of Liege and Lei Chou of UniversitÃ© Libre de Bruxelles as part of the COASTAL_Belgica_2007_12 dataset. CDIAC assigned the following cruise ID(s) to this dataset: COASTAL_Belgica_2007_12.

The Global Coastal Carbon Data Project data includes the bottle (discrete) and surface (underway) carbon-related measurements from coastal research cruises, the data from time series cruises and coastal moorings. The coastal regions data are very important for the understanding of carbon cycle on the continental margins.

Tags: 11bg20070510, alkali, atlantic ocean, bay of biscay, coastal_belgica_2007_12, ctdtmp, discrete measurement, ocean carbon and acidification data system (ocads) project, oceanography, oxygen, ph, ph_tot, phspht, profile, salnty, ta, theta
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Eastward and northward components of ocean current and water temperature collected from moorings in North East Pacific Coast from 1972-01-05 to 1972-09-25 (NCEI Accession 0163797)

In 1972 the University of Washington maintained 2 current meter moorings, Inshore, (IN), and Offshore (OF) during January, July, and August 1972. In addition, a joint project with the Pacific Oceanographic Laboratory (currently known as the Pacific Marine Environmental Laboratory, PMEL) of the National Oceanic and Atmospheric Administration (NOAA) was completed in September 1972 and provided a two-month record of temperature and currents over the Washington continental shelf and slope at three moorings (S6, S8, S11). During this period similar observations were made by the Coastal Upwelling Experiment (CUE) over the Oregon shelf. These two data sets, one off Washington, the other off Oregon, resulted in a better understanding of continental shelf processes. Current meters used were Aanderaa model RCM-4 (27), Braincon type 381 (20) and 3 vector averaging current meters (VACM). The Aanderaa (AA) and Braincon (BR) instruments belonged to the University of Washington, while the VACM instruments belonged to NOAA. The AA and BR current meters measured speed and direction, which was rotated to true North, then resolved into u and v components. The AA meters had temperature sensors. AA meters sampled at 10 minute intervals, BRs sampled at 10 or 20 minute intervals, and the VACM meters sampled at 3.75 minute intervals. Data has been edited for spurious values. Speed and direction data from the AA and BR meters were independently filtered with a 5 point (used when interval is 20 minutes) or 9 point (used when interval is 10 minutes) binomial filter spanning approximately 1.5 hours then resolved into u and v components. A more complete description of the AA and BR data can be found in: Smith, Hickey, Beck, 1976, Observations from moored current meters on the Washington Continental Shelf from February 1971 to February 1974, University of Washington, Department of Oceanography, Special Report 65. Data file format is plain text.

Tags: jl8xcr, oceanography
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Bathythermograph (XBT) data from MARSHFIELD in the North Atlantic Ocean from 1974-01-22 to 1974-02-14 (NCEI Accession 8400186)

This dataset includes bathythermograph (XBT) data from MARSHFIELD in the North Atlantic Ocean from 1974-01-22 to 1974-02-14.

Data has been processed by NODC to the NODC standard Bathythermograph (XBT) (C116) format.

The C116/C118 format contains temperature-depth profile data obtained using expendable bathythermograph (XBT) instruments. Cruise information, position, date and time were reported for each observation. The data record was comprised of pairs of temperature-depth values. Unlike the MBT Data File, in which temperature values were recorded at uniform 5 m intervals, the XBT data files contained temperature values at non-uniform depths. These depths were recorded at the minimum number of points ("inflection points") required to accurately define the temperature curve. Standard XBTs can obtain profiles to depths of either 450 or 760 m. With special instruments, measurements can be obtained to 1830 m. Prior to July 1994, XBT data were routinely processed to one of these standard types. XBT data are now processed and loaded directly in to the NODC Ocean Profile Data Base (OPDB). Historic data from these two data types were loaded into the OPDB.

Tags: oceanography
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Bathythermograph (MBT) data from THRASHER in the North Pacific Ocean from 1958-03-24 to 1958-10-17 (NCEI Accession 7600519)

This dataset includes bathythermograph (MBT) data from THRASHER in the North Pacific Ocean from 1958-03-24 to 1958-10-17.

Data has been processed by NODC to the NODC standard Bathythermograph (MBT) (C128) format.

The C128 format is used for temperature-depth profile data obtained using the mechanical bathythermograph (MBT) instrument. The maximum depth of MBT observations is approximately 285 m. Therefore, MBT data are useful only in studying the thermal structure of the upper layers of the ocean. Cruise information, date, position, and time are reported for each observation. The data record comprises pairs of temperature-depth values. Temperature data in this file are recorded at uniform 5 m depth intervals.

Tags: oceanography
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Police Dispatch Zones

The Law Dispatch Zones define law enforcement agency response areas for local Police Departments within Monroe County, Indiana. They were created for use within the Spillman computer aided dispatch (CAD) software used by Central Dispatch. Law Dispatch Zones define both law enforcement agency jurisdictions and internal sub districts (beats) defined by the agency

Tags: 911, dispatch, gis, law, maps, police, public-safety
Organization: City of Bloomington