100+ datasets found
  1. Hydrographic and Impairment Statistics Database: HAMP

    • catalog.data.gov
    • data.amerigeoss.org
    zip
    Updated Oct 1, 2024
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    National Park Service (2024). Hydrographic and Impairment Statistics Database: HAMP [Dataset]. https://catalog.data.gov/dataset/hydrographic-and-impairment-statistics-database-hamp
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    zipAvailable download formats
    Dataset updated
    Oct 1, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Description

    Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

  2. d

    Webroot Database Database Schema

    • databasesample.com
    Updated Aug 10, 2024
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    Database Sample (2024). Webroot Database Database Schema [Dataset]. https://databasesample.com/database/webroot-database
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    Dataset updated
    Aug 10, 2024
    Dataset authored and provided by
    Database Sample
    Description

    The Webroot Database is a sophisticated collection of cybersecurity intelligence that plays a crucial role in protecting digital environments. Unlike traditiona

  3. r

    Data from: MiX-LFQDB: MIUN-Xidian Light Field Quality Database for...

    • researchdata.se
    • data.europa.eu
    Updated Aug 11, 2025
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    Emin Zerman; Soheib Takhtardeshir; Anthony TRIOUX; Roger Olsson; Mårten Sjöström (2025). MiX-LFQDB: MIUN-Xidian Light Field Quality Database for Compressed Light Field Images using Learning-based vs. Conventional Methods [Dataset]. http://doi.org/10.5281/zenodo.16778671
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    Dataset updated
    Aug 11, 2025
    Dataset provided by
    Mid Sweden University
    Authors
    Emin Zerman; Soheib Takhtardeshir; Anthony TRIOUX; Roger Olsson; Mårten Sjöström
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This database was created by a joint effort from the Realistic 3D research group at Mid Sweden University (Sundsvall, Sweden) and the School of Telecommunications Engineering in Xidian University (Xi'an, China). The database details are explained thoroughly in the publication, which is accepted (and to appear in the proceedings of) the 27th IEEE International Workshop on Multimedia Signal Processing (MMSP) in 2025.

    You can use this database in your work under the Creative Commons Attribution 4.0 International (CC-BY 4.0) licence, provided that you cite the database as below:

    Zerman, E., Takhtardeshir, S., Trioux, A., Qin, J., Wu, W., Olsson, R., & Sjöström, M. (2025). Subjective Visual Quality Assessment of Compressed Light Field Images: Learning-based vs. Conventional Methods. The 27th IEEE International Workshop on Multimedia Signal Processing (MMSP).DOI: (To be updated after publication)

    BibTeX:

    @inproceedings{zerman2025subjective title = {Subjective Visual Quality Assessment of Compressed Light Field Images: Learning-based vs. Conventional Methods}, author = {Zerman, Emin and Takhtardeshir, Soheib and Trioux, Anthony and Qin, Jianlong and Wu, Wenjie and Olsson, Roger and Sj{"o}str{"o}m, M{\aa}rten}, booktitle = {The 27th IEEE International Workshop on Multimedia Signal Processing (MMSP)}, year = {2025}, organization = {IEEE}}

    This database contains 85 light field stimuli, rendered as pseudo-video sequences with a spiral trajectory, and the subjective quality scores collected by 40 people in two different countries (19 in Mid Sweden University, Sweden; and 21 in Xidian University, China). The 85 LF stimuli were generated from 5 source LFs using 4 different LF compression methods, comprising two conventional methods (H.265/HEVC and JPEG Pleno) and two learning-based methods (RLVC and EF-VAE).

  4. s

    SILVA Level 4 Taxonomy ; PR2 Level 5 Taxonomy

    • simonscmap.com
    Updated Jan 30, 2025
    + more versions
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    University of Southern California (2025). SILVA Level 4 Taxonomy ; PR2 Level 5 Taxonomy [Dataset]. https://simonscmap.com/catalog/datasets/GRUMP
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    Dataset updated
    Jan 30, 2025
    Dataset authored and provided by
    University of Southern California
    Description

    SILVA Level 4 Taxonomy ; PR2 Level 5 Taxonomy measured via High Throughput Sequencer in Uncategorized. Part of dataset Global rRNA Universal Metabarcoding of Plankton database (GRUMP)

  5. Asteroid Lightcurve Database (LCDB) V3.0

    • data.nasa.gov
    • catalog.data.gov
    Updated Mar 31, 2025
    + more versions
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    nasa.gov (2025). Asteroid Lightcurve Database (LCDB) V3.0 [Dataset]. https://data.nasa.gov/dataset/asteroid-lightcurve-database-lcdb-v3-0
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    Dataset updated
    Mar 31, 2025
    Dataset provided by
    NASAhttps://nasa.gov/
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    The asteroid lightcurve database (LCDB) is one of the more widely-used research tools for those doing research that compares and contrasts physical characteristics of asteroid spin axis rates, sizes, pole orientations, and/or taxonomic class - among others. The v3.0 release includes lightcurve photometry results for more than 24500 targets. Each object has one to several dozen detail records that contain results obtained by scanning the literature.

  6. r

    DARC - Database for Aligned Ribosomal Complexes

    • rrid.site
    • dknet.org
    • +2more
    Updated Sep 26, 2026
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    (2026). DARC - Database for Aligned Ribosomal Complexes [Dataset]. http://identifiers.org/RRID:SCR_006932
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    Dataset updated
    Sep 26, 2026
    Description

    A database for aligned ribosomal complexes that provides a resource for directly comparing the structures. A collection of files deposited in the RCSB protein data bank and the Electron Microscopy Data Bank have been aligned so as to make direct comparison of the structures possible. An easy-to-use, searchable interface allows users to access and download >130 cryo-EM maps and >300 atomic models in the format of brix and pdb files, respectively. The aligned coordinate system substantially simplifies direct visualization of conformational changes in the ribosome, such as subunit rotation and head-swiveling, as well as direct comparison of bound ligands, such as antibiotics or translation factors.

  7. Egypt - Food Prices

    • data.humdata.org
    csv
    Updated Sep 20, 2026
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    WFP - World Food Programme (2026). Egypt - Food Prices [Dataset]. https://data.humdata.org/dataset/wfp-food-prices-for-egypt
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    csvAvailable download formats
    Dataset updated
    Sep 20, 2026
    Dataset provided by
    World Food Programmehttp://da.wfp.org/
    Authors
    WFP - World Food Programme
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Time period covered
    Aug 15, 2010 - Jul 15, 2026
    Area covered
    Egypt
    Description

    This dataset contains Food Prices data for Egypt, sourced from the World Food Programme Price Database. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.

  8. Data from: Meteorological Database, Argonne National Laboratory, Illinois,...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    xml
    Updated Aug 14, 2020
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    U.S. Geological Survey (2020). Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2015 [Dataset]. https://catalog.data.gov/dataset/meteorological-database-argonne-national-laboratory-illinois-january-1-1948-septem-30-2015
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    xmlAvailable download formats
    Dataset updated
    Aug 14, 2020
    Dataset provided by
    United States Geological Surveyhttps://www.usgs.gov/
    Area covered
    Illinois
    Description

    This data release is the update of the U.S. Geological Survey - ScienceBase data release by Bera and Over (2016), with the processed data through September 30, 2015. The primary data for water year 2015 is downloaded from the ANL website (http://gonzalo.er.anl.gov/ANLMET/numeric/) and is processed following the guidelines documented in Over and others (2010) and Bera (2014). This data release is the update of the U.S. Geological Survey - ScienceBase data release Bera and Over (2016) with the processed data through September 30, 2015. The primary data for each year is downloaded from the ANL website (http://gonzalo.er.anl.gov/ANLMET/numeric/) and is processed following the guidelines documented in Over and others (2010) and Bera (2014). Hourly potential evapotranspiration computed using the computer program LXPET (Lamoreux Potential Evapotranspiration). Murphy (2005) describes in detail the computer program LXPET. References Cited: Bera, M., and Over, T. M., 2016, Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2014: U.S. Geological Survey data release, http://dx.doi.org/10.5066/F7Q52MQG.
    Bera, M., 2014, Watershed Data Management (WDM) database for Salt Creek streamflow simulation, DuPage County, Illinois, water years 2005-11: U.S. Geological Survey Data Series 870, 18 p., http://dx.doi.org/10.3133/ds870. Over, T.M., Price, T.H., and Ishii, A.L., 2010, Development and analysis of a meteorological database, Argonne National Laboratory, Illinois: U.S. Geological Survey Open-File Report 2010-1220, 67 p., http://pubs.usgs.gov/of/2010/1220/. Murphy, E.A., 2005, Comparison of potential evapotranspiration calculated by the LXPET (Lamoreux Potential Evapotranspiration) Program and by the WDMUtil (Watershed Data Management Utility) Program: U.S. Geological Survey Open-File Report 2005-1020, 20 p., https://pubs.er.usgs.gov/publication/ofr20051020.

  9. Panama City laboratory Reef Fish video and trap Survey database

    • fisheries.noaa.gov
    • catalog.data.gov
    + more versions
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    Southeast Fisheries Science Center, Panama City laboratory Reef Fish video and trap Survey database [Dataset]. https://www.fisheries.noaa.gov/inport/item/25246
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    Dataset provided by
    Southeast Fisheries Science Center
    Time period covered
    2005 - Oct 8, 2126
    Area covered
    Description

    This data set is a Microsoft Access database containing detailed station data (station name number, date, location, depth, time, and bottom temperature) as well as species, fish counts and measurements, and habitat data derived from the raw video and still images and from chevron fish traps.

  10. Data from: The SCOC database – a large, open and global database with...

    • zenodo.org
    • datadryad.org
    csv
    Updated Oct 5, 2022
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    Tanja Stratmann; Tanja Stratmann; Karline Soetaert; Chih-Lin Wei; Yu-Shih Lin; Dick van Oevelen; Karline Soetaert; Chih-Lin Wei; Yu-Shih Lin; Dick van Oevelen (2022). Data from: The SCOC database – a large, open and global database with sediment community oxygen consumption rates [Dataset]. http://doi.org/10.5061/dryad.25nd083
    Explore at:
    csvAvailable download formats
    Dataset updated
    Oct 5, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Tanja Stratmann; Tanja Stratmann; Karline Soetaert; Chih-Lin Wei; Yu-Shih Lin; Dick van Oevelen; Karline Soetaert; Chih-Lin Wei; Yu-Shih Lin; Dick van Oevelen
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Sediment community oxygen consumption (SCOC) rates provide important information about biogeochemical processes in marine sediments and the activity of benthic microorganisms and fauna. Therefore, several databases of sediment community oxygen consumption data have been compiled since the mid-1990s. However, these earlier databases contained much less data records and were not freely available. Additionally, the databases were not transparent in their selection procedure, so that other researchers could not assess the quality of the data. Here, we present the largest, best documented, and freely available database of SCOC data compiled to date. The database is comprised of 2,936 georeferenced SCOC records from 208 studies that were selected following the procedure for systematic reviews and meta-analyses. Each data record states whether the oxygen consumption was measured ex situ or in situ, as total oxygen uptake or diffusive oxygen uptake, and which measurement device was used. The database will be curated and updated annually to secure and maintain an up-to-date global database of SCOC data.

  11. Business investment real-time database

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Sep 30, 2026
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    Office for National Statistics (2026). Business investment real-time database [Dataset]. https://www.ons.gov.uk/economy/grossdomesticproductgdp/datasets/businessinvestmentrealtimedatabase
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    xlsxAvailable download formats
    Dataset updated
    Sep 30, 2026
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Real-time database to accompany revision triangles, by quarter, chained volume measures, seasonally adjusted, UK.

  12. a

    State Licensed Childcare Facilities in Arizona

    • azgeo-open-data-agic.hub.arcgis.com
    Updated Feb 14, 2023
    + more versions
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    Arizona Department of Health Services (2023). State Licensed Childcare Facilities in Arizona [Dataset]. https://azgeo-open-data-agic.hub.arcgis.com/datasets/ADHSGIS::state-licensed-childcare-facilities-in-arizona
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    Dataset updated
    Feb 14, 2023
    Dataset authored and provided by
    Arizona Department of Health Services
    Area covered
    Description

    ADHS Division of Licensing Mission Statement: To protect the health and safety of Arizonans by providing information, establishing standards, and licensing and regulating health and child care services.The Arizona Department of Health Services-Bureau of Child Care Licensing regulates and monitors licensed child care facilities, public school child care programs and certified child care group homes statewide.Records are created and maintained by Bureau of Child Care Licensing staff in the licensing division, while the GIS Team extracts the data and creates GIS layers and shares them publicly. Each month, an extract from the ADHS Division of Licensing SQL database is geocoded using ADHS's internal geocoder, and post-processed using a Python script to create and publish feature classes by facility type, including childcare facilities. Last Updated: February 2025Update frequency: Monthly Data FAQs:Some records have “license_expiration” earlier than the “rundate” while the “OPERTION_STATUS” is “ACTIVE”, should we treat all records with “OPERATION_STATUS” of “ACTIVE” as open at the time the data is released? Answer: Yes - ACTIVE is all the current licenses. In 2019 there was a perpetual rule change that affected certain facilities so in lieu of an expiration date, we began tracking the annual fee due date in the "license_expiration" field. Per rule, these facilities can submit annual requirements up to 30 days after the fee due date (aka license expiration in the provider database) so we do expect some to be earlier than the run date. Is the FACID of the same facility maintained unique and same throughout all releases? If a facility is purchased by a different company or has it’s name changed, is the FACID changed? Answer: The FACID represents a licensed premise - in many cases the facility ID is maintained when purchased by a different owner but under federal rule, certain facilities may choose to have a new CMS certification number which would require a new FACID be issued for that premise. What’s the unit type of capacities for different categories? Answer: This varies - it can be child capacity, bed count, dialysis station, etc. For Group_Home_for_Individuals_with_a_Developmental_Disability and Residential_Facility, how to tell if the employer’s office is at the facility VS the employer’s office is somewhere else and employees are sent to those facilities? Also is there a way to tell if a facility only has part time workers (Like workers only need to be at the residential facility less than 8hr per day or less than 5 days a week )? Answer: This is not currently available on the public databaseThe data contains a 'COUNTY' field and a "N_County' field - which one should I use to filter results? Answer: N_County - this is the county that's assigned when a record is geocoded using the physical street address, vs one that is assigned manually during the licensing process.

  13. g

    CORINE Land Cover 2006 database of the Netherlands

    • gimi9.com
    • nationaalgeoregister.nl
    • +1more
    Updated May 3, 2025
    + more versions
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    (2025). CORINE Land Cover 2006 database of the Netherlands [Dataset]. https://gimi9.com/dataset/nl_22245-corine-land-cover-2006-database-of-the-netherlands/
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    Dataset updated
    May 3, 2025
    Area covered
    Netherlands
    Description

    CORINE Land Cover 2006 database of the Netherlands. An increasing need for factual and quantitative information on the state of the environment of DG Environment, DG Agriculture and other users initiated a proposal of the EEA to collaborate with the European Space Agency (ESA) and the European Commission (EC) on the implementation of a fast track service on land monitoring. The project focused on timely, quality assured data, in particular in land cover and land use related issues for 2006-2008. The CLC2006 project is part of the GMES Fast Track Service Precursor (FTSP) Land Monitoring. In CLC2006 38 countries with total area of 5.8 Mkm2 are participating (32 EEA member states and 6 collaborating countries).

  14. o

    BioTrack Product Database

    • oecd.org
    Updated Apr 27, 2026
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    (2026). BioTrack Product Database [Dataset]. https://www.oecd.org/en/data/tools/biotrack-product-database.html
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    Dataset updated
    Apr 27, 2026
    Description

    As products derived from modern biotechnology are increasingly cultivated and marketed worldwide, ensuring their safety is a key policy priority. The OECD BioTrack product database provides public access to approved products, supporting transparency and regulatory co‑operation.

  15. b

    Yeast Intron Database v3

    • bioregistry.io
    Updated Oct 3, 2021
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    (2021). Yeast Intron Database v3 [Dataset]. https://bioregistry.io/registry/yid
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    Dataset updated
    Oct 3, 2021
    Description

    The YEast Intron Database (version 3) contains information on the spliceosomal introns of the yeast Saccharomyces cerevisiae. It includes expression data that relates to the efficiency of splicing relative to other processes in strains of yeast lacking nonessential splicing factors. The data are displayed on each intron page. An updated version of the database is available through [MIR:00000521].

  16. N

    Oceanic Bryophytes Hydro Planning Database

    • find.data.gov.scot
    • dtechtive.com
    csv, geojson, kml +1
    Updated Jul 24, 2023
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    NatureScot (2023). Oceanic Bryophytes Hydro Planning Database [Dataset]. https://find.data.gov.scot/datasets/20099
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    shp(0.2336 MB), geojson(0.2668 MB), csv(0.193 MB), kml(0.335 MB)Available download formats
    Dataset updated
    Jul 24, 2023
    Dataset provided by
    NatureScot
    Area covered
    United Kingdom of Great Britain and Northern Ireland
    Description

    This dataset provides assessment of over 5600 watercourse along the west coast of Scotland for their nationally/internationally important water-loving oceanic bryophyte (moss and liverwort) communities. The approach is applied in line with NatureScot's 'Planning for Development - Service Statement'. https://www.nature.scot/doc/planning-great-places-service-statement

  17. d

    ASTI Tanzania database

    • search.dataone.org
    Updated Nov 16, 2018
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    Agricultural Science and Technology Indicators (ASTI) (2018). ASTI Tanzania database [Dataset]. http://doi.org/10.7910/DVN/QLNNBW
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    Dataset updated
    Nov 16, 2018
    Dataset provided by
    Harvard Dataverse
    Authors
    Agricultural Science and Technology Indicators (ASTI)
    Area covered
    Tanzania
    Description

    No description is available. Visit https://dataone.org/datasets/sha256%3A302a3340566273135b5259fda95be14f99c0784d41e47169bb312e40e0455300 for complete metadata about this dataset.

  18. H

    Data from: Database survey

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Oct 31, 2023
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    anonymous anonymous (2023). Database survey [Dataset]. http://doi.org/10.7910/DVN/DVNFRM
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 31, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    anonymous anonymous
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Database survey

  19. TCM Herbs Dataset

    • meandqi.com
    html
    Updated Jul 18, 2018
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    Me & Qi (2018). TCM Herbs Dataset [Dataset]. https://www.meandqi.com/knowledge-base/herbs
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    htmlAvailable download formats
    Dataset updated
    Jul 18, 2018
    Dataset authored and provided by
    Me & Qi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Taste, Herb Name, TCM Actions, Temperature, Organ Affinity, Therapeutic Focus, Conditions Treated, Toxicity Classification
    Description

    Comprehensive dataset of Traditional Chinese Medicine herbs with detailed information about their properties, actions, tastes, temperatures, and organ affinities.

  20. M

    Malawi MW: Domestic General Government Health Expenditure Per Capita:...

    • ceicdata.com
    Updated Jun 30, 2018
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    CEICdata.com (2018). Malawi MW: Domestic General Government Health Expenditure Per Capita: Current PPP [Dataset]. https://www.ceicdata.com/en/malawi/health-statistics
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    Dataset updated
    Jun 30, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2004 - Dec 1, 2015
    Area covered
    Malawi
    Description

    MW: Domestic General Government Health Expenditure Per Capita: Current PPP data was reported at 0.000 Intl $ mn in 2015. This records an increase from the previous number of 0.000 Intl $ mn for 2014. MW: Domestic General Government Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 Intl $ mn in 2015 and a record low of 0.000 Intl $ mn in 2002. MW: Domestic General Government Health Expenditure Per Capita: Current PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malawi – Table MW.World Bank: Health Statistics. Public expenditure on health from domestic sources per capita expressed in international dollars at purchasing power parity (PPP).; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;

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National Park Service (2024). Hydrographic and Impairment Statistics Database: HAMP [Dataset]. https://catalog.data.gov/dataset/hydrographic-and-impairment-statistics-database-hamp
Organization logo

Hydrographic and Impairment Statistics Database: HAMP

Explore at:
zipAvailable download formats
Dataset updated
Oct 1, 2024
Dataset provided by
National Park Servicehttp://www.nps.gov/
Description

Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

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