AndreaBozzo/ceres-open-data-index huggingface dataset:
Sentinel-5P TROPOMI Radiance product band 4 (UVIS detector) L1B 5.5km x 3.5km V1 (S5P_L1B_RA_BD4_HiR) at GES DISC

Starting from August 6th in 2019, Sentinel-5P TROPOMI along-track high spatial resolution (~5.5km at nadir) has been implemented. For data before August 6th of 2019, please check S5P_L1B_RA_BD4_1 data collection. The Copernicus Sentinel-5 Precursor (Sentinel-5P or S5P) satellite mission is one of the European Space Agency's (ESA) new mission family - Sentinels, and it is a joint initiative between the Kingdom of the Netherlands and the ESA. The sole payload on Sentinel-5P is the TROPOspheric Monitoring Instrument (TROPOMI), which is a nadir-viewing 108 degree Field-of-View push-broom grating hyperspectral spectrometer, covering the wavelength of ultraviolet-visible (UV-VIS, 270nm to 495nm), near infrared (NIR, 675nm to 775nm), and shortwave infrared (SWIR, 2305nm-2385nm). TROPOMI Level-1B (L1B) product is generated by the Koninklijk Nederlands Meteoroligisch Instituut (KNMI) TROPOMI L01B processor from Level-0 input data and auxiliary data products with the netCDF-4 enhanced model. It provides users with radiance, irradiance, calibration and engineering products.

Tags: earth-science-atmospheric-radiation-atmosphere-atmospheric-emitted-radiation, earth-science-atmospheric-radiation-atmosphere-net-radiation, earth-science-atmospheric-radiation-atmosphere-radiative-forcing, earth-science-atmospheric-radiation-atmosphere-scattering, earth-science-atmospheric-radiation-atmosphere-ultraviolet-radiation, earth-science-platform-characteristics-spectral-engineering, earth-science-platform-characteristics-spectral-engineering-flight-data-logs, earth-science-platform-characteristics-spectral-engineering-orbital-characteristics, earth-science-platform-characteristics-spectral-engineering-viewing-geometry, earth-science-sensor-characteristics-spectral-engineering-geolocation, earth-science-sensor-characteristics-spectral-engineering-viewing-geometry, earth-science-ultraviolet-wavelengths-spectral-engineering, earth-science-ultraviolet-wavelengths-spectral-engineering-ultraviolet-radiance
Organization: National Aeronautics and Space Administration
Sentinel-5P TROPOMI Radiance product band 6 (NIR detector) L1B 5.5km x 3.5km V1 (S5P_L1B_RA_BD6_HiR) at GES DISC

Starting from August 6th in 2019, Sentinel-5P TROPOMI along-track high spatial resolution (~5.5km at nadir) has been implemented. For data before August 6th of 2019, please check S5P_L1B_RA_BD6_1 data collection. The Copernicus Sentinel-5 Precursor (Sentinel-5P or S5P) satellite mission is one of the European Space Agency's (ESA) new mission family - Sentinels, and it is a joint initiative between the Kingdom of the Netherlands and the ESA. The sole payload on Sentinel-5P is the TROPOspheric Monitoring Instrument (TROPOMI), which is a nadir-viewing 108 degree Field-of-View push-broom grating hyperspectral spectrometer, covering the wavelength of ultraviolet-visible (UV-VIS, 270nm to 495nm), near infrared (NIR, 675nm to 775nm), and shortwave infrared (SWIR, 2305nm-2385nm). TROPOMI Level-1B (L1B) product is generated by the Koninklijk Nederlands Meteoroligisch Instituut (KNMI) TROPOMI L01B processor from Level-0 input data and auxiliary data products with the netCDF-4 enhanced model. It provides users with radiance, irradiance, calibration and engineering products.

Tags: earth-science-atmospheric-radiation-atmosphere-atmospheric-emitted-radiation, earth-science-atmospheric-radiation-atmosphere-net-radiation, earth-science-atmospheric-radiation-atmosphere-radiative-forcing, earth-science-atmospheric-radiation-atmosphere-scattering, earth-science-atmospheric-radiation-atmosphere-ultraviolet-radiation, earth-science-platform-characteristics-spectral-engineering, earth-science-platform-characteristics-spectral-engineering-flight-data-logs, earth-science-platform-characteristics-spectral-engineering-orbital-characteristics, earth-science-platform-characteristics-spectral-engineering-viewing-geometry, earth-science-sensor-characteristics-spectral-engineering-geolocation, earth-science-sensor-characteristics-spectral-engineering-viewing-geometry, earth-science-ultraviolet-wavelengths-spectral-engineering, earth-science-ultraviolet-wavelengths-spectral-engineering-ultraviolet-radiance
Organization: National Aeronautics and Space Administration
Tellus Level-4 Greenland Mass Anomaly Time Series from JPL GRACE/GRACE-FO Mascon CRI Filtered Release 06.3 version 04

This dataset is a time series of mass variability averaged over all of the global ocean. It provides the non-steric or mass only sea level changes over time. The mass variability are derived from JPL GRACE Mascon Ocean, Ice, and Hydrology Equivalent Water Height CRI Filtered RL06.3Mv04 dataset, which can be found at https://doi.org/10.5067/TEMSC-3JC634. A more detailed description on the Mascon solution, including the mathematical derivation, implementation of geophysical constraints, and solution validation, please see Watkins et al., 2015, doi: 10.1002/2014JB011547. The mass variability is provided as an ASCII table.

Tags: earth-science-cryospheric-indicators-climate-indicators-glacial-measurements-glacier-mass-balan, earth-science-glaciers-ice-sheets-cryosphere-glacier-mass-balance-ice-sheet-mass-balance
Organization: National Aeronautics and Space Administration
Nursing Home Chain Performance Measures

The Nursing Home Chain Performance Measures dataset provides select quality and performance measures from Care Compare for groups of nursing homes that share common individual or organizational owners, officers, or entities with operational/managerial control. The data include measures such as average health and staffing star ratings, staffing measures, average quality star ratings, select enforcement remedies, claims-based and Minimum Data Set (MDS) measures, and average Skilled Nursing Facility Quality Reporting Program (SNF QRP) metrics.

Tags: hospitals-facilities, medicare, skilled-nursing
Organization: U.S. Department of Health & Human Services
Medicare Post-Acute Care Utilization - Hospice

The Medicare Post-Acute Care (PAC) Utilization - Hospice dataset contains information on demographic and clinical characteristics of beneficiaries served, professional and paraprofessional service utilization, and payment information at the provider, state, and national levels at the hospice setting.

Tags: health-care-use-payments, hospice, hospitals-facilities, inpatient, medicare, national, original-medicare, states-territories
Organization: U.S. Department of Health & Human Services
Innovation Center Data and Reports

The Innovation Center Data and Reports dataset contains a variety of contributions from CMS Innovation Center models, demonstrations, initiatives and programs. These resources include evaluation reports and associated materials, reports to Congress, and case studies among others.

Tags: childrens-health-insurance-program, medicare, medicare-advantage, medicare-prescription-drug, original-medicare, payment-models, value-based-care
Organization: U.S. Department of Health & Human Services
HHS Data Inventory

The U.S. Department of Health and Human Services (HHS) publishes the HHS Data Inventory—a comprehensive metadata catalog of public and non-public data assets across the Department—in accordance with the Foundations for Evidence-Based Policymaking Act of 2018 (Evidence Act, Pub. L. 115-435). This inventory enhances information discovery, data usability, and government transparency by providing public visibility into data assets from all HHS Divisions.

When more people access and use the data, we have more collective ability to identify gaps, errors, or other problems with this HHS metadata. Your feedback and suggestions will help HealthData.gov to expeditiously improve metadata quality and underlying data that matters most to you, and HHS commits to continuous improvements to information quality.

Tags: api, feedback, integration, inventory, metadata
Organization: U.S. Department of Health & Human Services
NNDSS Weekly Data

NNDSS - In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.


Notes:

• These are weekly cases of selected infectious 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 available at https://www.cdc.gov/nndss/infectious-disease/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data.

• Notices, errata, and other notes are available in the Notice To Data Users page https://www.cdc.gov/nndss/infectious-disease/notice-to-data-users.html.

• The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2024 and 2025 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
• Please refer to the Stacks publication for weekly updates to the footnote for influenza-associated pediatric mortality.
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.

Tags: 2022, nndss, wonder
Organization: U.S. Department of Health & Human Services
Medicare Post-Acute Care Utilization - Long-Term Care Hospital

The Medicare Post-Acute Care (PAC) Utilization - Long-Term Care Hospital (LTCH) dataset contains data summarized at the provider, state, and national levels. Payment information includes provider charges, Medicare allowed amount (if applicable), Medicare payment, and the standardized payment for care provided in the LTCH setting.

Tags: health-care-use-payments, hospitals-facilities, inpatient, long-term-care, medicare, national, original-medicare, states-territories
Organization: U.S. Department of Health & Human Services
West Atlantic Pre-SWOT Level-4 Hourly MITgcm LLC4320 Native Grid 2km Oceanographic Dataset Version 1.0

This dataset provides a regional multivariate oceanographic state estimate from a global ocean numerical simulation with a focus on the West Atlantic region. The global ocean simulation is based on the MIT general circulation model (MITgcm) with Lat-Lon-Cap grid (LLC) layout and 1/48-degree (2km at equator) nominal horizontal resolution. This simulation is often referred to as LLC4320 in the community and existing publications. The simulation has 90 vertical levels, with about 1-m vertical resolution at the surface and 30 m down to 500 m, for optimized resolution of the upper-ocean processes. The model has zero parameterized horizontal diffusivity. In the vertical direction, the K-Profile Parameterization (KPP) is used for boundary layer turbulent mixing. It is spun up progressively from the lower resolution MITgcm simulation from the Estimating the Circulation & Climate of the Ocean (ECCO), and forced by the 6-hourly ERA-Interim atmosphere reanalysis ( https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era-interim ). A synthetic surface pressure field consisting of the 16 most dominant tidal constituents is used to dynamically mimic the tidal forcing. The dataset provides hourly oceanographic variables at native grid. Three-dimensional variables include temperature, salinity, and velocity. Two-dimensional variables include sea level anomaly, ocean mixed layer thickness, bottom pressure anomaly, net freshwater flux, net heat flux, shortwave radiative flux, net salt flux, and ocean surface stress.

Tags: earth-science-ocean-circulation-oceans-fresh-water-flux, earth-science-ocean-circulation-oceans-ocean-currents, earth-science-ocean-heat-budget-oceans-heat-flux, earth-science-ocean-temperature-oceans-potential-temperature, earth-science-salinity-density-oceans-salinity
Organization: National Aeronautics and Space Administration
TROPESS Chemical Reanalysis Surface Anthropogenic CO emissions Monthly 2-dimensional Product V1 (TRPSCRECOAM2D) at GES DISC

The TROPESS Chemical Reanalysis Surface Anthropogenic CO emissions Monthly 2-dimensional Product contains carbon monoxide emissions from anthropogenic sources. The data are part of the Tropospheric Chemical Reanalysis v2 (TCR-2) for the period 2005-2021. TCR-2 uses JPL's Multi-mOdel Multi-cOnstituent Chemical (MOMO-Chem) data assimilation framework that simultaneously optimizes both concentrations and emissions of multiple species from multiple satellite sensors. The data files are written in the netCDF version 4 file format, and each file contains a year of data at monthly resolution, and a spatial resolution of 1.125 x 1.125 degrees. The principal investigator for the TCR-2 data is Miyazaki, Kazuyuki.

Tags: earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-carbon-monoxide
Organization: National Aeronautics and Space Administration
Western North American FLEXPART Back Trajectory 2000 Data

WNA-FLEXPART-BackTraj-2000 is the 2000 Western North America Back Trajectory data using the FLEXible PARTicle (FLEXPART) dispersion model. Data collection for this product is complete. Backward simulations of airmass transport using a Lagrangian Particle Dispersion Model (LPDM) framework can establish source-receptor relationships (SRRs), supporting analysis of source contributions from various geospatial regions and atmospheric layers to downwind observations. In this study, we selected receptor locations to match gridded ozone observations over Western North America (WNA) from ozonesonde, lidar, commercial aircraft sampling, and aircraft campaigns (1994-2021). For each receptor, we used the FLEXible PARTicle (FLEXPART) dispersion model, driven by ERA5 reanalysis data, to achieve 15-day backwards SRR calculations, providing global simulations at high temporal (hourly) and spatial (1° x 1°) resolution, from the surface up to 20 km above ground level. This product retains detailed information for each receptor, including the gridded ozone value product, allowing the user to illustrate and identify source contributions to various subsets of ozone observations in the troposphere above WNA over nearly 3 decades at different vertical layers and temporal scales, such as diurnal, daily, seasonal, intra-annual, and decadal. This model product can also support source contribution analyses for other atmospheric components observed over WNA, if other co-located observations have been made at the spatial and temporal scales defined for some or all of the gridded ozone receptors used here. These data products were generated with support from NASA’s Atmospheric Composition Campaign Data Analysis and Modeling program and the NASA High-End Computing (HEC) Program through the NASA Advanced Supercomputing (NAS) Division at Ames Research Center (award SMD-20-28429430). The critical role of in situ measurements collected by many individual research teams, as well as contributions in model development and intermediate analyses, is gratefully acknowledged. For further information, please contact the authors of the manuscripts describing the datasets. Information is included in the ReadMe files, which are provided in the Related URLs.

Tags: earth-science-air-quality-atmosphere-tropospheric-ozone
Organization: National Aeronautics and Space Administration
2023 NOAA Topobathy Lidar DEM: Whitefish Point Lake Superior, MI

The Digital Elevation Model includes the grounded classes of class 2, 40, and 43. This raster is tiled out into 23 5000 m x 5000 m tiles. The project AOI covers approximately 161.5 square kilometers, and includes the area from Whitefish Point to Bay Mills, MI in Eastern Lake Superior, the eastern portion of which falls within and EPA's St. Marys River area of concern.

Tags: airplane, coastal elevation, coastal processes, continent, dems, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, land surface, lidar, light detection and ranging, michigan, national ocean service, noaa, north america, oceans, office of coastal management, terrain elevation, topography, u.s. department of commerce, united states of america, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Nationwide Automatic Identification System 2018

Automatic Identification Systems (AIS) are a navigation safety device that transmits and monitors the location and characteristics of many vessels in U.S. and international waters in real-time. In the U.S. the Coast Guard and industry collect AIS data, which can also be used for a variety of coastal management purposes. NOAA and BOEM have worked jointly to make available these data from the U.S. Coast Guards national network of AIS receivers. The original records were filtered to a one-minute frequency rate, and subset to depict the location and description of vessels broadcasting within the Exclusive Economic Zone.

Tags: automatic identification system (ais), coastal, continent, doc/noaa/nos/ocm, exclusive economic zone, national ocean service, noaa, north america, office of coastal management, outer continental shelf, planning, renewable energy, territorial sea, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Nationwide Automatic Identification System 2011

The 2011 United States Automatic Identification System Database contains vessel traffic data for planning purposes within the U.S. coastal waters. The database is composed of 204 self-contained File Geodatabases (FGDB). Each FGDB represents one month of data for a single UTM zone. The UTM zones represented cover the entire United States and include 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 14, 15, 16, 17, 18, and 19. Each FGDB consists of one feature class, four tables, and two relationship classes. The Broadcast point feature class contains the position reports, which have been pre-filtered to a one-minute time step. The Voyage table contains elements of the static data reports that are updated for each ship voyage. The Vessel table contains elements of the static data reports that are specific to a particular vessel. The BaseStations table lists the base stations collecting data for a particular month/UTM zone. The AttributeUnits table contains a list of units for each of the attribute fields in the Broadcast, Voyage, and Vessel tables. The BroadcastHasVessel relationship class relates the broadcast points to the vessel table records. The BroadcastHasVoyage relationship class relates the broadcast points to the voyage table records.

Tags: ais, atlantic ocean, automatic identification system, automatic identification system (ais), bering sea, cmsp, coastal and marine spatial planning, continent, doc/noaa/nos/ocm, earth science, environmental governance/management, great lakes, gulf of america, gulf of mexico, human dimensions, national ocean service, nautical charting, noaa, north america, north atlantic ocean, ocean, office of coastal management, pacific ocean, position report, sea level, static data report, u.s. department of commerce, united states, united states of america, utm zone 1, utm zone 10, utm zone 11, utm zone 14, utm zone 15, utm zone 16, utm zone 17, utm zone 18, utm zone 19, utm zone 2, utm zone 3, utm zone 4, utm zone 5, utm zone 6, utm zone 7, utm zone 8, utm zone 9, vessel, voyage
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Nationwide Automatic Identification System 2023

Automatic Identification Systems (AIS) are a navigation safety device that transmits and monitors the location and characteristics of many vessels in U.S. and international waters in real-time. In the U.S. the Coast Guard and industry collect AIS data, which can also be used for a variety of coastal management purposes. NOAA and BOEM have worked jointly to make available these data from the U.S. Coast Guards national network of AIS receivers. The original records were filtered to a one-minute frequency rate, and subset to depict the location and description of vessels broadcasting within the Exclusive Economic Zone.

Tags: automatic identification system (ais), coastal, continent, doc/noaa/nos/ocm, exclusive economic zone, national ocean service, noaa, north america, office of coastal management, outer continental shelf, planning, renewable energy, territorial sea, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce