91 datasets found
  1. Synthetic Healthcare Database for Research (SyH-DR)

    • healthdata.gov
    • data.virginia.gov
    • +1more
    application/rdfxml +5
    Updated Sep 15, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Agency for Healthcare Research and Quality (AHRQ) (2023). Synthetic Healthcare Database for Research (SyH-DR) [Dataset]. https://healthdata.gov/National/-Synthetic-Healthcare-Database-for-Research-SyH-DR/88gj-w5in
    Explore at:
    csv, json, tsv, application/rdfxml, application/rssxml, xmlAvailable download formats
    Dataset updated
    Sep 15, 2023
    Dataset provided by
    Agency for Healthcare Research and Qualityhttp://www.ahrq.gov/
    Authors
    Agency for Healthcare Research and Quality (AHRQ)
    Description

    The Agency for Healthcare Research and Quality (AHRQ) created SyH-DR from eligibility and claims files for Medicare, Medicaid, and commercial insurance plans in calendar year 2016. SyH-DR contains data from a nationally representative sample of insured individuals for the 2016 calendar year. SyH-DR uses synthetic data elements at the claim level to resemble the marginal distribution of the original data elements. SyH-DR person-level data elements are not synthetic, but identifying information is aggregated or masked.

  2. Data from: SLU Aqua Institute of Coastal Research Database for Coastal Fish...

    • gbif.org
    Updated Jun 28, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Anders Kinnerbäck; Anders Kinnerbäck (2024). SLU Aqua Institute of Coastal Research Database for Coastal Fish - KUL [Dataset]. http://doi.org/10.15468/bp9w9y
    Explore at:
    Dataset updated
    Jun 28, 2024
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    Department of Aquatic resources, SLU
    Authors
    Anders Kinnerbäck; Anders Kinnerbäck
    License

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

    Area covered
    Description

    The Department of Aquatic Resources (SLU Aqua) at the Swedish University of Agricultural Sciences is responsible of collecting and checking test-fishing data generated in national and regional environmental programs on behalf of the Swedish Agency for Marine and Water Management. The test fishing is performed with standardized methods. SLU Aqua also collect test-fishing data from several other types of investigations (e g recipient monitoring). The purpose is to facilitate obtaining data of high quality for research, national investigations and reports. The database also serves as a reference for local and regional investigations. Data is available for the public on http://www.slu.se/kul.

  3. Marine Accident Investigation Branch, Incident Database System (MIDS)

    • data.wu.ac.at
    • data.europa.eu
    Updated Dec 12, 2013
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Department for Transport (2013). Marine Accident Investigation Branch, Incident Database System (MIDS) [Dataset]. https://data.wu.ac.at/odso/data_gov_uk/YWRiZjk0ZGMtYTI5Yi00MzU2LWJlNzUtNGFhNjQ4YThmNGE2
    Explore at:
    Dataset updated
    Dec 12, 2013
    Dataset provided by
    Department for Transporthttps://gov.uk/dft
    Description

    Information collected about marine accidents, and Marine Accident Investigation Branch's (MAIB) analysis in the course of its investigations.

  4. Database of Research Activity - DoRA

    • data.qld.gov.au
    • data.gov.au
    • +1more
    csv
    Updated Jun 21, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Queensland Health (2022). Database of Research Activity - DoRA [Dataset]. https://www.data.qld.gov.au/dataset/database-of-research-activity-dora
    Explore at:
    csv(138240), csv(108032), csv(125440)Available download formats
    Dataset updated
    Jun 21, 2022
    Dataset provided by
    Department of Healthhttp://health.qld.gov.au/
    Authors
    Queensland Health
    License

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

    Description

    The Database of Research Activity (DoRA) is a publicly accessible, searchable website. The database covers all Queensland Health human research.

  5. Investigations Data

    • data.virginia.gov
    • data.transportation.gov
    csv, json, rdf, xsl
    Updated Feb 16, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S Department of Transportation (2025). Investigations Data [Dataset]. https://data.virginia.gov/dataset/investigations-data
    Explore at:
    xsl, csv, rdf, jsonAvailable download formats
    Dataset updated
    Feb 16, 2025
    Authors
    U.S Department of Transportation
    Description

    About the Data The dataset includes publicly available NHTSA investigation information related to the identification and correction of safety-related defects in motor vehicles and vehicle equipment. For more information on NHTSA investigations, including safety defect investigations, please visit https://www.nhtsa.gov/resources-investigations-recalls.

  6. h

    Optimum Patient Care Research Database (OPCRD)

    • healthdatagateway.org
    • web.dev.hdruk.cloud
    unknown
    Updated Oct 8, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Optimum Patient Care (OPC) (2024). Optimum Patient Care Research Database (OPCRD) [Dataset]. http://doi.org/10.2147/POR.S395632
    Explore at:
    unknownAvailable download formats
    Dataset updated
    Oct 8, 2024
    Dataset authored and provided by
    Optimum Patient Care (OPC)
    License

    https://opcrd.co.uk/our-database/data-requests/https://opcrd.co.uk/our-database/data-requests/

    Description

    About OPCRD

    Optimum Patient Care Research Database (OPCRD) is a real-world, longitudinal, research database that provides anonymised data to support scientific, medical, public health and exploratory research. OPCRD is established, funded and maintained by Optimum Patient Care Limited (OPC) – which is a not-for-profit social enterprise that has been providing quality improvement programmes and research support services to general practices across the UK since 2005.

    Key Features of OPCRD

    OPCRD has been purposefully designed to facilitate real-world data collection and address the growing demand for observational and pragmatic medical research, both in the UK and internationally. Data held in OPCRD is representative of routine clinical care and thus enables the study of ‘real-world’ effectiveness and health care utilisation patterns for chronic health conditions.

    OPCRD unique qualities which set it apart from other research data resources: • De-identified electronic medical records of more than 24.8 million patients • OPCRD covers all major UK primary care clinical systems • OPCRD covers approximately 35% of the UK population • One of the biggest primary care research networks in the world, with over 1,175 practices • Linked patient reported outcomes for over 68,000 patients including Covid-19 patient reported data • Linkage to secondary care data sources including Hospital Episode Statistics (HES)

    Data Available in OPCRD

    OPCRD has received data contributions from over 1,175 practices and currently holds de-identified research ready data for over 24.8 million patients or data subjects. This includes longitudinal primary care patient data and any data relevant to the management of patients in primary care, and thus covers all conditions. The data is derived from both electronic health records (EHR) data and patient reported data from patient questionnaires delivered as part of quality improvement. OPCRD currently holds over 68,000 patient reported questionnaire data on Covid-19, asthma, COPD and rare diseases.

    Approvals and Governance

    OPCRD has NHS research ethics committee (REC) approval to provide anonymised data for scientific and medical research since 2010, with its most recent approval in 2020 (NHS HRA REC ref: 20/EM/0148). OPCRD is governed by the Anonymised Data Ethics and Protocols Transparency committee (ADEPT). All research conducted using anonymised data from OPCRD must gain prior approval from ADEPT. Proceeds from OPCRD data access fees and detailed feasibility assessments are re-invested into OPC services for the continued free provision of patient quality improvement programmes for contributing practices and patients.

    For more information on OPCRD please visit: https://opcrd.co.uk/

  7. h

    Public Health Research Database (PHRD)

    • healthdatagateway.org
    unknown
    Updated Apr 21, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Office for National Statistics (2021). Public Health Research Database (PHRD) [Dataset]. https://healthdatagateway.org/dataset/403
    Explore at:
    unknownAvailable download formats
    Dataset updated
    Apr 21, 2021
    Dataset authored and provided by
    Office for National Statistics
    License

    https://www.ons.gov.uk/aboutus/whatwedo/statistics/requestingstatistics/approvedresearcherschemehttps://www.ons.gov.uk/aboutus/whatwedo/statistics/requestingstatistics/approvedresearcherscheme

    Description

    The Public Health Research Database (PHRD) is a linked asset which currently includes Census 2011 data; Mortality Data; Hospital Episode Statistics (HES); GP Extraction Service (GPES) Data for Pandemic Planning and Research data. Researchers may apply for these datasets individually or any combination of the current 4 datasets.

    The purpose of this dataset is to enable analysis of deaths involving COVID-19 by multiple factors such as ethnicity, religion, disability and known comorbidities as well as age, sex, socioeconomic and marital status at subnational levels. 2011 Census data for usual residents of England and Wales, who were not known to have died by 1 January 2020, linked to death registrations for deaths registered between 1 January 2020 and 8 March 2021 on NHS number. The data exclude individuals who entered the UK in the year before the Census took place (due to their high propensity to have left the UK prior to the study period), and those over 100 years of age at the time of the Census, even if their death was not linked. The dataset contains all individuals who died (any cause) during the study period, and a 5% simple random sample of those still alive at the end of the study period. For usual residents of England, the dataset also contains comorbidity flags derived from linked Hospital Episode Statistics data from April 2017 to December 2019 and GP Extraction Service Data from 2015-2019.

  8. Additional file 10: of Some data quality issues at ClinicalTrials.gov

    • springernature.figshare.com
    application/cdfv2
    Updated Jun 4, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Additional file 10: of Some data quality issues at ClinicalTrials.gov [Dataset]. https://springernature.figshare.com/articles/dataset/Additional_file_10_of_Some_data_quality_issues_at_ClinicalTrials_gov/8318909
    Explore at:
    application/cdfv2Available download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Neha Chaturvedi; Bagish Mehrotra; Sangeeta Kumari; Saurabh Gupta; H. Subramanya; Gayatri Saberwal
    License

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

    Description

    Records that list both the name and the role of the investigator. The names of the investigators and their corresponding roles were extracted from Additional file 8: Table S6 (31,833 records) and Additional file 9: Table S7 (3288 records). They were sorted into a “NameAndRole” sheet for trials that listed both the name and role of the investigator, and a “Nulls” sheet that listed the remaining records. The data are presented in the following six Recruitment Type categories: (1) Active, not recruiting (4052 selected records with 383 leftovers), (2) Completed (19,404; 2726), (3) Enrolling by invitation (162; 23), (4) Recruiting (3784; 156), (5) Suspended (182; 11), and (6) Terminated (3808; 430). The sheets for these categories are numbered 1–6, respectively. (XLS 6779 kb)

  9. NIST Center for Neutron Research raw data archive

    • catalog.data.gov
    • datadiscoverystudio.org
    • +1more
    Updated Jul 29, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Institute of Standards and Technology (2022). NIST Center for Neutron Research raw data archive [Dataset]. https://catalog.data.gov/dataset/nist-center-for-neutron-research-raw-data-archive-5388f
    Explore at:
    Dataset updated
    Jul 29, 2022
    Dataset provided by
    National Institute of Standards and Technologyhttp://www.nist.gov/
    Description

    Neutron scattering data from NCNR's thermal and cold neutron scattering instruments.

  10. HHSC CCL Inspection Investigation Assessment Data

    • data.texas.gov
    • catalog.data.gov
    application/rdfxml +5
    Updated Mar 8, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    HHSC (2025). HHSC CCL Inspection Investigation Assessment Data [Dataset]. https://data.texas.gov/See-Category-Tile/HHSC-CCL-Inspection-Investigation-Assessment-Data/m5q4-3y3d
    Explore at:
    xml, tsv, csv, application/rdfxml, json, application/rssxmlAvailable download formats
    Dataset updated
    Mar 8, 2025
    Dataset provided by
    Texas Health and Human Services Commission
    Authors
    HHSC
    License

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

    Description

    This data set has information about Inspections, Investigations, Assessments done at each Day care and/or Residential Care Operation. The Operation ID can be used to link the records to the operation details in the HHSC CCL Operations Data set

  11. d

    CPI 3.1 Completed Abuse/Neglect Investigations by County and Region...

    • catalog.data.gov
    • data.texas.gov
    Updated Feb 25, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    data.austintexas.gov (2025). CPI 3.1 Completed Abuse/Neglect Investigations by County and Region FY2015-FY2024 [Dataset]. https://catalog.data.gov/dataset/cpi-3-1-completed-abuse-neglect-investigations-by-county-fy2013-fy2022
    Explore at:
    Dataset updated
    Feb 25, 2025
    Dataset provided by
    data.austintexas.gov
    Description

    Child Protective Investigations (CPI) is authorized to investigate abuse and neglect allegedly committed by a person responsible for a child's care, custody or welfare and to protect abused and neglected children from further harm. This authorization is derived from the U.S. Social Securities Act, Texas Family Code, Human Resources Code, Child Abuse Prevention and Treatment Act, Indian Child Welfare Act and the Adam Walsh Act. CPI conducts either a traditional investigation or Alternative Response (AR). Both require CPI to assess safety and take needed actions to protect a child and assess the risk of future abuse or neglect in the foreseeable future. AR, however, allows for a more flexible, family engaging approach on lower priority cases involving alleged victims who are age 6 or older. AR differs from traditional investigations in that there is no substantiation of allegations, no entry of perpetrators into the Central Registry (a repository for reports of child abuse and neglect), and there a heightened focus on guiding the family to plan for safety in a way that works for them and therefore sustains the safety. Completed investigations only include those cases conducted as a traditional investigation that were not administratively closed or merged into another stage. An investigation can only be administratively closed if all allegations have a disposition of administrative closure. A completed investigation can include more than one alleged victim. Completed investigations do not include any Alternative Response cases. A description of Alternative Response and how it differs from a traditional investigation is in the glossary. FOOTNOTES An investigation represents a report of abuse or neglect and can involve multiple children. The data on completed investigations does not include investigative stages that were administratively closed or merged into another investigation. All completed investigations have a case disposition and a risk finding. Visit dfps.state.tx.us for information on Abuse/Neglect Investigations and all DFPS programs.

  12. N

    Bureau of Fire Investigations - Fire Causes

    • data.cityofnewyork.us
    • datasets.ai
    • +1more
    application/rdfxml +5
    Updated May 9, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Fire Department of New York City (FDNY) (2024). Bureau of Fire Investigations - Fire Causes [Dataset]. https://data.cityofnewyork.us/Public-Safety/Bureau-of-Fire-Investigations-Fire-Causes/ii3r-svjz
    Explore at:
    csv, json, application/rdfxml, xml, application/rssxml, tsvAvailable download formats
    Dataset updated
    May 9, 2024
    Dataset authored and provided by
    Fire Department of New York City (FDNY)
    Description

    Findings of investigations by the Bureau of Fire Investigations.

    This data lists the causes of fires found by the Bureau of Fire Investigations. Each record represents a fire related incident investigated by BFI. This dataset contains only closed and completed cases.

  13. AmeriCorps Research Grantee Dataset

    • catalog.data.gov
    • data.americorps.gov
    • +3more
    Updated Feb 13, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    AmeriCorps Office of Research and Evaluation (2025). AmeriCorps Research Grantee Dataset [Dataset]. https://catalog.data.gov/dataset/americorps-research-grantee-dataset
    Explore at:
    Dataset updated
    Feb 13, 2025
    Dataset provided by
    AmeriCorpshttp://www.americorps.gov/
    Description

    The AmeriCorps Office of Research and Evaluation provides grants to researchers, scholars, and dissertators at institutions of higher education, enabling them to engage in comprehensive studies on civic engagement, volunteering, and national service. Studies include a variety of populations and ranges from local to organizational, and national contexts throughout the United States. This AmeriCorps Research Grantee dataset provides comprehensive information about the grantees and their studies. For each award, we identify the: 1) study title; 2) background; 3) cohort year; 4) principal investigators and their affiliated university; 5) study location(s) associated with each grant; 6) civic engagement topic areas; and 7) the research approach. Please be aware that there may be multiple rows corresponding to a single research grantee study, reflecting the various study sites where the grantee is actively involved. Each study was thematically coded to identify their civic engagement topic areas. An individual study can be categorized into more than one group. The topic areas include: • Arts & Culture, • Community Development, • Education Across the Life Course, • Youth Development, • Environmental Stewardship, • Health & Social Wellbeing, • New Americans, • Economic Opportunity and Employment, • Social Capital, • Senior Development, and • Volunteering, Nonprofit Studies, and National Service. Additionally, the research grantees’ studies were categorized into two distinct research approaches: traditional research and participatory research. To learn more about the studies’ civic engagement topic areas and research approaches, please refer to the AmeriCorps Research Grantee Data Dictionary under Attachments. For up-to-date information surrounding the AmeriCorps Research Grantees please see: • AmeriCorps Research Grantee Activities and Insights: https://americorps.gov/grantees-sponsors/research-evaluation/grantee-profiles • Participatory Research: https://americorps.gov/sites/default/files/document/2021_07_20_ParticipatoryResearchOnePager_ORE.pdf

  14. AGS data: Site investigation data received by BGS from 3rd party...

    • metadata.bgs.ac.uk
    • find.eks.staging.govuk.digital
    • +1more
    html
    Updated 2000
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    British Geological Survey (2000). AGS data: Site investigation data received by BGS from 3rd party organisations in AGS file format. [Dataset]. https://metadata.bgs.ac.uk/geonetwork/srv/api/records/8c4c74dd-30fd-0534-e054-002128a47908
    Explore at:
    htmlAvailable download formats
    Dataset updated
    2000
    Dataset authored and provided by
    British Geological Surveyhttps://www.bgs.ac.uk/
    License

    http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/INSPIRE_Directive_Article13_1dhttp://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/INSPIRE_Directive_Article13_1d

    Area covered
    Description

    Site investigation and geotechnical data received by BGS from 3rd party organisations in AGS file format. When received by BGS the data is validated against predefined rules, processed and stored in the BGS AGS agnostic store. This data is delivered as received e.g. no interpretative values or observations are added to the data by the BGS. For more details about the Association of Geotechnical & Geoenvironmental Specialists (AGS) see: https://www.ags.org.uk For more details on depositing AGS data with BGS see: http://www.bgs.ac.uk/data/ags To access AGS data held by BGS: http://mapapps2.bgs.ac.uk/geoindex/home.html?layer=AGSBoreholes

  15. d

    Innovating the Data Ecosystem: An Update of the Federal Big Data Research...

    • catalog.data.gov
    • gimi9.com
    Updated Nov 13, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    NCO NITRD (2024). Innovating the Data Ecosystem: An Update of the Federal Big Data Research and Development Strategic Plan [Dataset]. https://catalog.data.gov/dataset/innovating-the-data-ecosystem-an-update-of-the-federal-big-data-research-and-development-s
    Explore at:
    Dataset updated
    Nov 13, 2024
    Dataset provided by
    NCO NITRD
    Description

    This document, Innovating the Data Ecosystem: An Update of The Federal Big Data Research and Development Strategic Plan, updates the 2016 Federal Big Data Research and Development Strategic Plan. This plan updates the vision and strategies on the research and development needs for big data laid out in the 2016 Strategic Plan through the six strategies areas (enhance the reusability and integrity of data; enable innovative, user-driven data science; develop and enhance the robustness of the federated ecosystem; prioritize privacy, ethics, and security; develop necessary expertise and diverse talent; and enhance U.S. leadership in the international context) to enhance data value and reusability and responsiveness to federal policies on data sharing and management.

  16. Data-set of Moth Specimen from TESRI

    • gbif.org
    Updated Mar 12, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Data-set of Moth Specimen from TESRI [Dataset]. https://www.gbif.org/dataset/f3f25fcf-2930-4cf1-a495-6b31d7fa0252
    Explore at:
    Dataset updated
    Mar 12, 2025
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    Taiwan Biodiversity Research Institute
    Authors
    Hsuhong Lin; Hsuhong Lin
    License

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

    Time period covered
    Nov 22, 2005 - Nov 11, 2023
    Area covered
    Description

    此一資料集為農業部生物多樣性研究所 Taiwan Biodiversity Research Institute, MOA ; TBRI;(原 特有生物研究保育中心 Taiwan Endemic Species Research Institute, TESRI)進行蛾類調查並採集、製作標本,將其所得標本之資料建成資料集。所有標本均逐一拍照,照片並上傳至flickr網站。資料建檔起初是使用Access開發的檔案型資料庫,自2018年9月起,將資料轉入MS SQL Server ,並開發網路版資料建檔頁面。自2013年起,生物多樣性研究所組織超過100位的蛾類調查志工參與協助蛾類的調查、採集與標本製作,使得標本數與資料筆數均大幅成長。所有標本目前分別存放於農業部生物多樣性研究所 、中央研究院及國立自然科學博物館;截至2024年3月,已在153處地點進行1,359次調查,累積資料筆數125,151筆。農業部生物多樣性研究所並開發一網站「台灣飛蛾資訊分享站(http://twmoth.tesri.gov.tw/peo/aboutme.aspx)」,提供各界查詢及下載查詢結果。 This dataset is generated by the Taiwan Biodiversity Research Institute, MOA (Ministry of Agriculture), TBRI (formerly known as the Taiwan Endemic Species Research Institute, TESRI), and it involves the investigation, collection, and specimen preparation of moths. The data obtained from these specimens have been organized into a dataset. Each specimen has been individually photographed, and these photos are uploaded to the Flickr website. Initially, data archiving was done using an Access-based file database. Since September 2018, the data has been transferred to MS SQL Server, and a web-based data archiving interface has been developed. Since 2013, the Taiwan Biodiversity Research Institute has organized over 100 volunteers to assist in moth investigations, collection, and specimen preparation. This has significantly increased the number of specimens and data records. All specimens are currently stored at the Taiwan Biodiversity Research Institute, Academia Sinica, and the National Museum of Natural Science. As of March 2024, a total of 1,359 surveys have been conducted at 153 locations, accumulating 125,151 data records. The Taiwan Biodiversity Research Institute has also developed a website called the "Taiwan Moth Information Sharing Site (http://twmoth.tesri.gov.tw/peo/aboutme.aspx)" to provide various users with the ability to query and download search results.

  17. Scanned images of the BGS site investigation report collection

    • data-search.nerc.ac.uk
    • metadata.bgs.ac.uk
    html
    Updated Feb 14, 2009
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    British Geological Survey (2009). Scanned images of the BGS site investigation report collection [Dataset]. https://data-search.nerc.ac.uk/geonetwork/srv/api/records/9df8df53-2a13-37a8-e044-0003ba9b0d98
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Feb 14, 2009
    Dataset authored and provided by
    British Geological Surveyhttps://www.bgs.ac.uk/
    License

    http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/INSPIRE_Directive_Article13_1dhttp://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/INSPIRE_Directive_Article13_1d

    Area covered
    Description

    Scanned images of the records of onshore Great Britain (or near shore) site investigation reports held in the BGS archives in paper, microfilm or digital format. The entire collections in BGS Edinburgh have been scanned, but in BGS Keyworth currently only new reports received since 2002. Scanning started in 2002 and is ongoing with new records being scanned and added to the collection. Images are stored in TIFF format (Tagged Image File Format). Indexed on the site investigation database and the boreholes within the report, and their images, are associated via the borehole database.

  18. D

    Description of data management practices for SANDBOX research data

    • data.4tu.nl
    • 4tu.edu.hpc.n-helix.com
    zip
    Updated May 23, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Erik Hendriks; Chiu H. Cheng; Bram van Prooijen (2022). Description of data management practices for SANDBOX research data [Dataset]. http://doi.org/10.4121/19786174.v1
    Explore at:
    zipAvailable download formats
    Dataset updated
    May 23, 2022
    Dataset provided by
    4TU.ResearchData
    Authors
    Erik Hendriks; Chiu H. Cheng; Bram van Prooijen
    License

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

    Time period covered
    Jun 2017 - Oct 2017
    Area covered
    Dataset funded by
    Dutch Research Council
    Description

    In the SANDBOX research project, we investigated the natural dynamics of the North Sea bed. As part of this research, we conducted multiple research cruises on the North Sea. The documents in this dataset explain which data was collected, when it was collected and the structure of the data repository (svn.citg.tudelft.nl/sandbox).

  19. NHTSA's Office of Defects Investigation (ODI) - Recalls - Recalls -...

    • catalog.data.gov
    • data.transportation.gov
    • +1more
    Updated May 1, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Highway Traffic Safety Administration (2024). NHTSA's Office of Defects Investigation (ODI) - Recalls - Recalls - Equipment [Dataset]. https://catalog.data.gov/dataset/nhtsas-office-of-defects-investigation-odi-recalls-recalls-equipment
    Explore at:
    Dataset updated
    May 1, 2024
    Description

    Manufacturers who determine that a product or piece of original equipment either has a safety defect or is not in compliance with Federal safety standards are required to notify the National Highway Traffic Safety Administration (NHTSA) within 5 business days. NHTSA requires that manufacturers file a Defect and Noncompliance report as well as quarterly recall status reports, in compliance with Federal Regulation 49 (the National Traffic and Motor Safety Act) Part 573, which identifies the requirements for safety recalls. This information is stored in the NHTSA database. Use this data to search for recall information related to:- Specific NHTSA campaigns - Product types Access to public searches of NHTSA recall databases for tires, vehicles, car seats and equipment.

  20. d

    Replication data for: A Structural Investigation on Quantitative Easing

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 11, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Boehl, Gregor; Goy, Gavin; Strobel, Felix (2023). Replication data for: A Structural Investigation on Quantitative Easing [Dataset]. http://doi.org/10.7910/DVN/XZRZ7K
    Explore at:
    Dataset updated
    Nov 11, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Boehl, Gregor; Goy, Gavin; Strobel, Felix
    Description

    Review of Economics and Statistics: Forthcoming. Visit https://dataone.org/datasets/sha256%3A5ada3b8c7a14d2005150be61cce6944ea51f0a74f29e73521b471b572f8d566c for complete metadata about this dataset.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Agency for Healthcare Research and Quality (AHRQ) (2023). Synthetic Healthcare Database for Research (SyH-DR) [Dataset]. https://healthdata.gov/National/-Synthetic-Healthcare-Database-for-Research-SyH-DR/88gj-w5in
Organization logo

Synthetic Healthcare Database for Research (SyH-DR)

Explore at:
9 scholarly articles cite this dataset (View in Google Scholar)
csv, json, tsv, application/rdfxml, application/rssxml, xmlAvailable download formats
Dataset updated
Sep 15, 2023
Dataset provided by
Agency for Healthcare Research and Qualityhttp://www.ahrq.gov/
Authors
Agency for Healthcare Research and Quality (AHRQ)
Description

The Agency for Healthcare Research and Quality (AHRQ) created SyH-DR from eligibility and claims files for Medicare, Medicaid, and commercial insurance plans in calendar year 2016. SyH-DR contains data from a nationally representative sample of insured individuals for the 2016 calendar year. SyH-DR uses synthetic data elements at the claim level to resemble the marginal distribution of the original data elements. SyH-DR person-level data elements are not synthetic, but identifying information is aggregated or masked.

Search
Clear search
Close search
Google apps
Main menu