100+ datasets found
  1. d

    New York City Quarterly Economic Update

    • catalog.data.gov
    • data.cityofnewyork.us
    Updated Nov 1, 2024
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    data.cityofnewyork.us (2024). New York City Quarterly Economic Update [Dataset]. https://catalog.data.gov/dataset/new-york-city-quarterly-economic-update
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    Dataset updated
    Nov 1, 2024
    Dataset provided by
    data.cityofnewyork.us
    Area covered
    New York
    Description

    Linked hereto is the Comptroller's Quarterly New York City Economic Update, which includes a variety of data sets (nearly all of which are created separately by other other federal, state or city agencies and private entities) that provide information about the economy of New York City.

  2. Global sea level data updates (new files every 6 months)

    • data.csiro.au
    • researchdata.edu.au
    Updated Feb 20, 2023
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    Benoit Legresy; John Church; Neil White (2023). Global sea level data updates (new files every 6 months) [Dataset]. https://data.csiro.au/collection/csiro:51596
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    Dataset updated
    Feb 20, 2023
    Dataset provided by
    CSIROhttp://www.csiro.au/
    Authors
    Benoit Legresy; John Church; Neil White
    License

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

    Time period covered
    Jan 15, 1993 - Present
    Area covered
    Dataset funded by
    CSIROhttp://www.csiro.au/
    Description

    Independently derived sea level data based on satellite altimeters. Data runs from 1993 to latest update, which is typically April and October each year.

    Under the "Services" tab in this collection we provide THREDDS, HTTP and FTP links to - Global Mean Sea Level (GMSL) annual values in .txt or .csv and .jpg plots - Regional Sea Level (RSL) monthly gzipped netCDF files with various corrections applied or not, as described in https://research.csiro.au/slrwavescoast/sea-level/measurements-and-data/sea-level-data/#OurData - Images plotting these data, including many seen in https://research.csiro.au/slrwavescoast/sea-level/sea-level-changes/ Lineage: Refer to Church and White (2011).

  3. O

    Maryland Department of Health - Active Datasets

    • opendata.maryland.gov
    application/rdfxml +5
    Updated Aug 8, 2025
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    MD Department of Information Technology (2025). Maryland Department of Health - Active Datasets [Dataset]. https://opendata.maryland.gov/Administrative/Maryland-Department-of-Health-Active-Datasets/aap2-qpwt
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    application/rdfxml, csv, application/rssxml, json, xml, tsvAvailable download formats
    Dataset updated
    Aug 8, 2025
    Dataset authored and provided by
    MD Department of Information Technology
    Area covered
    Maryland
    Description

    This dataset shows whether each dataset on data.maryland.gov has been updated recently enough. For example, datasets containing weekly data should be updated at least every 7 days. Datasets containing monthly data should be updated at least every 31 days. This dataset also shows a compendium of metadata from all data.maryland.gov datasets.

    This report was created by the Department of Information Technology (DoIT) on August 12 2015. New reports will be uploaded daily (this report is itself included in the report, so that users can see whether new reports are consistently being uploaded each week). Generation of this report uses the Socrata Open Data (API) to retrieve metadata on date of last data update and update frequency. Analysis and formatting of the metadata use Javascript, jQuery, and AJAX.

    This report will be used during meetings of the Maryland Open Data Council to curate datasets for maintenance and make sure the Open Data Portal's data stays up to date.

  4. d

    MeSH 2025 Update - Add Report

    • catalog.data.gov
    • healthdata.gov
    • +2more
    Updated May 30, 2025
    + more versions
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    National Library of Medicine (2025). MeSH 2025 Update - Add Report [Dataset]. https://catalog.data.gov/dataset/mesh-2023-update-add-report
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    Dataset updated
    May 30, 2025
    Dataset provided by
    National Library of Medicine
    Description

    (Includes MeSH 2023 and 2024 changes) The MeSH 2025 Update - Add Report lists new Descriptors and Supplementary Concept Records (SCRs) that have been added to MeSH for the upcoming new release. It also includes terms that replace deleted terms, as well as new entry combinations (new precoordinated descriptor heading that replaces an existing descriptor/subheading combination). This report includes MeSH changes from previous years, starting from 2023.

  5. i

    COVID-19 Case Demographics Daily Trend

    • hub.mph.in.gov
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    COVID-19 Case Demographics Daily Trend [Dataset]. https://hub.mph.in.gov/dataset/covid-19-case-demographics-daily-trend
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    License

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

    Description

    Note: 11/1/2023: Publication of the COVID data will be delayed because of technical difficulties. Note: 9/20/2023: With the end of the federal emergency and reporting requirements continuing to evolve, the Indiana Department of Health will no longer publish and refresh the COVID-19 datasets after November 15, 2023 - one final dataset publication will continue to be available. Note: 5/10/2023: Due to a technical issue updates are delayed for COVID data. New files will be published as soon as they are available. Note: 3/22/2023: Due to a technical issue updates are delayed for COVID data. New files will be published as soon as they are available. Note: 3/15/2023 test data will be removed from the COVID dashboards and HUB files in recognition of the fact that widespread use of at-home tests and a decrease in lab testing no longer provides an accurate representation of COVID-19 spread. Number of Indiana COVID-19 cases and deaths by age group, gender, race and ethnicity by day. All data displayed is preliminary and subject to change as more information is reported to IDOH. Expect historical data to change as data is reported to IDOH. Historical Changes: 1/11/2023: Due to a technical issue updates are delayed for COVID data. New files will be published as soon as they are available. 1/5/2023: Due to a technical issue the COVID datasets were not updated on 1/4/23. Updates will be published as soon as they are available. 9/29/22: Due to a technical difficulty, the weekly COVID datasets were not generated yesterday. They will be updated with current data today - 9/29 - and may result in a temporary discrepancy with the numbers published on the dashboard until the normal weekly refresh resumes 10/5. 9/27/2022: As of 9/28, the Indiana Department of Health (IDOH) is moving to a weekly COVID update for the dashboard and all associated datasets to continue to provide trend data that is applicable and usable for our partners and the public. This is to maintain alignment across the nation as states move to weekly updates. 2/10/2022: Data was not published on 2/9/2022 due to a technical issue, but updated data was released 2/10/2022. 12/30/21: This dataset has been updated, and should continue to receive daily updates. 12/15/21: The file has been adjusted with data through 12/13, and regular updates will resume to it today. 11/12/2021: Historical re-infections have been added to the case counts for all pertinent COVID datasets back to 9/1/2021 and new re-infections will be added to the total case counts as they are reported in accordance with CDC guidance. 06/23/2021: COVID Hub files will no longer be updated on Saturdays. The normal refresh of these files has been changed to Mon-Fri. 06/10/2021: COVID Hub files will no longer be updated on Sundays. The normal refresh of these files has been changed to Mon-Sat. 6/03/2021 : A batch of historical negative and positive test results added 16,492 historical tests administered, 7,082 tested individuals, and 765 historical cases to today's counts. These cases are not included in the new positive counts but have been added to the total positive cases. Today’s total case counts include historical cases received from other states. 2/4/2021 : Today’s dataset now includes 1,507 historical deaths identified through an audit of 2020 and 2021 COVID death records and test results.

  6. Public health outcomes framework: February 2018 data update

    • gov.uk
    Updated Feb 7, 2018
    + more versions
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    Public Health England (2018). Public health outcomes framework: February 2018 data update [Dataset]. https://www.gov.uk/government/statistics/public-health-outcomes-framework-february-2018-data-update
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    Dataset updated
    Feb 7, 2018
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Public Health England
    Description

    The Public Health Outcomes Framework (PHOF) data update for February 2018 has been published by Public Health England (PHE).

    The data are presented in an interactive tool that allows users to view them in a user-friendly format. The data tool also provides links to further supporting and relevant information to aid understanding of public health in a local population.

    This update contains:

    • more recent data for 60 indicators
    • 3 new indicators
    • 1 indicator with a revised definition
    • revised back series data for 1 indicator
    • equalities and inequalities breakdowns for 35 indicators

    See the attached indicators updated document for full details of what’s in this update.

    The Public Health Outcomes Framework was refreshed in May 2016, following a consultation in 2015. We will add new indicators as they become available.

    See the government response to the consultation for details of the new framework.

    View previous Public Health Outcomes Framework data tool updates.

  7. d

    Website updates

    • catalog.data.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +2more
    Updated Apr 11, 2025
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    Dashlink (2025). Website updates [Dataset]. https://catalog.data.gov/dataset/website-updates
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    Dataset updated
    Apr 11, 2025
    Dataset provided by
    Dashlink
    Description

    Updates to Website: (Please add new items at the top of this description with the date of the website change) May 9, 2012: Uploaded experimental data in matlab format for HIRENASD November 8, 2011: New grids, experimental data for HIRENASD configuration, new FEM for HIRENASD configuration. (JHeeg) Oct 13: Uploaded BSCW grids (VGRID) (PChwalowski) Oct 5: Added HIRENASD experimental data for test points #159 and #132 (JHeeg, PChwalowski)

  8. d

    MeSH 2025 Update - Replace Report

    • catalog.data.gov
    • datadiscovery.nlm.nih.gov
    • +3more
    Updated May 30, 2025
    + more versions
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    National Library of Medicine (2025). MeSH 2025 Update - Replace Report [Dataset]. https://catalog.data.gov/dataset/mesh-2023-update-replace-report
    Explore at:
    Dataset updated
    May 30, 2025
    Dataset provided by
    National Library of Medicine
    Description

    (Includes MeSH 2023 and 2024 changes) The MeSH 2025 Update - Replace Report lists Descriptors and Supplementary Concept Records (SCRs) where an existing MeSH term has been replaced by another term. Note that replacement terms are not necessarily new to the vocabulary; terms are sometimes consolidated under or moved to other existing terms. This report includes MeSH changes from previous years, starting from 2023.

  9. g

    Coronavirus (Covid-19) Data in the United States

    • github.com
    • openicpsr.org
    • +2more
    csv
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    New York Times, Coronavirus (Covid-19) Data in the United States [Dataset]. https://github.com/nytimes/covid-19-data
    Explore at:
    csvAvailable download formats
    Dataset provided by
    New York Times
    License

    https://github.com/nytimes/covid-19-data/blob/master/LICENSEhttps://github.com/nytimes/covid-19-data/blob/master/LICENSE

    Description

    The New York Times is releasing a series of data files with cumulative counts of coronavirus cases in the United States, at the state and county level, over time. We are compiling this time series data from state and local governments and health departments in an attempt to provide a complete record of the ongoing outbreak.

    Since the first reported coronavirus case in Washington State on Jan. 21, 2020, The Times has tracked cases of coronavirus in real time as they were identified after testing. Because of the widespread shortage of testing, however, the data is necessarily limited in the picture it presents of the outbreak.

    We have used this data to power our maps and reporting tracking the outbreak, and it is now being made available to the public in response to requests from researchers, scientists and government officials who would like access to the data to better understand the outbreak.

    The data begins with the first reported coronavirus case in Washington State on Jan. 21, 2020. We will publish regular updates to the data in this repository.

  10. O

    MDOT Datasets for Update

    • opendata.maryland.gov
    application/rdfxml +5
    Updated Aug 8, 2025
    + more versions
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    MD Department of Information Technology (2025). MDOT Datasets for Update [Dataset]. https://opendata.maryland.gov/Administrative/MDOT-Datasets-for-Update/r9qv-ur97
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    application/rssxml, json, csv, application/rdfxml, xml, tsvAvailable download formats
    Dataset updated
    Aug 8, 2025
    Dataset authored and provided by
    MD Department of Information Technology
    Description

    This dataset shows whether each dataset on data.maryland.gov has been updated recently enough. For example, datasets containing weekly data should be updated at least every 7 days. Datasets containing monthly data should be updated at least every 31 days. This dataset also shows a compendium of metadata from all data.maryland.gov datasets.

    This report was created by the Department of Information Technology (DoIT) on August 12 2015. New reports will be uploaded daily (this report is itself included in the report, so that users can see whether new reports are consistently being uploaded each week). Generation of this report uses the Socrata Open Data (API) to retrieve metadata on date of last data update and update frequency. Analysis and formatting of the metadata use Javascript, jQuery, and AJAX.

    This report will be used during meetings of the Maryland Open Data Council to curate datasets for maintenance and make sure the Open Data Portal's data stays up to date.

  11. d

    US Company Data | 16M+ Records | Bi-Weekly Updates | Private Company...

    • datarade.ai
    .json, .csv, .sql
    Updated Jan 1, 2023
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    Forager.ai (2023). US Company Data | 16M+ Records | Bi-Weekly Updates | Private Company Insights [Dataset]. https://datarade.ai/data-products/us-company-data-15-1m-records-bi-weekly-updates-private-forager-ai
    Explore at:
    .json, .csv, .sqlAvailable download formats
    Dataset updated
    Jan 1, 2023
    Dataset provided by
    Forager.ai
    Area covered
    United States
    Description

    The Forager.ai - US Company Dataset is a leading source of firmographic data, backed by advanced AI and offering the highest refresh rate in the industry.

    | Volume and Stats |

    • Over 16M total US company records, the highest volume in the industry today.
    • Every company record refreshed twice a month, offering an unparalleled update frequency.
    • Delivery is made every hour, ensuring you have the latest data at your fingertips.
    • Each record is the result of an advanced AI-driven process, ensuring high-quality, accurate data.

    | Use Cases |

    Sales Platforms, ABM and Intent Data Platforms, Identity Platforms, Data Vendors:

    • Map the comprehensive universe of companies globally, and acquire the latest firmographic data for all those records.
    • Track company size and measure growth to determine sales propensity or to create an internal growth score.
    • Enrich your existing company database with fresh, comprehensive data.

    B2B Tech Companies:

    • Enrich leads that sign-up through the Company Search API (available separately).
    • Identify and map every company that fits your core personas and ICP.
    • Build audiences to target, using key fields like location, company size, industry, and description.

    Venture Capital and Private Equity:

    • Discover new investment opportunities using company descriptions and industry-level data.
    • Review the growth of private companies and benchmark their strength against competitors.
    • Create high-level views of companies competing in popular verticals for investment.

    | Delivery Options |

    • Flat files via S3 or GCP
    • PostgreSQL Shared Database
    • PostgreSQL Managed Database
    • API
    • Other options available upon request, depending on the scale required

    Our dataset provides a unique blend of volume, freshness, and detail that is perfect for Sales Platforms, B2B Tech, VCs & PE firms, Marketing Automation, ABM & Intent. It stands as a cornerstone in our broader data offering, ensuring you have the information you need to drive decision-making and growth.

    Tags: Company Data, Company Profiles, Employee Data, Firmographic Data, AI-Driven Data, High Refresh Rate, Company Classification, Private Market Intelligence, Workforce Intelligence, Public Companies.

  12. Data from: Hedwig-Schwägrichen types catalogue update (1): new typifications...

    • demo.gbif.org
    • gbif.org
    Updated Oct 25, 2024
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    Plazi.org taxonomic treatments database (2024). Hedwig-Schwägrichen types catalogue update (1): new typifications and typification corrections [Dataset]. http://doi.org/10.15468/vtszzs
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    Dataset updated
    Oct 25, 2024
    Dataset provided by
    Plazi
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    License

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

    Description

    This dataset contains the digitized treatments in Plazi based on the original journal article Price, Michelle J. (2014): Hedwig-Schwägrichen types catalogue update (1): new typifications and typification corrections. Candollea 69 (2): 119-133, DOI: 10.15553/c2014v692a3

  13. A

    ‘COVID-19 Data Update’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Feb 11, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘COVID-19 Data Update’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-covid-19-data-update-6b57/e545ffee/?iid=006-182&v=presentation
    Explore at:
    Dataset updated
    Feb 11, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘COVID-19 Data Update’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/9c05876a-e7ce-46c3-bdbb-c16c2e2dc595 on 11 February 2022.

    --- Dataset description provided by original source is as follows ---

    This item has been replaced with a new COVID-19 Indicator page. Please see https://covid19.tempe.gov/pages/indicators for current data updates. This feature layer has been deprecated on 5/26/2021 and will be archived on 6/14/2021. This table shows various COVID-19 data updates and is associated with the hosted table used in dashboards supporting the COVID-19 data updates / gating site.

    This data table shows various COVID-19 gating criteria and is used in dashboards supporting the COVID-19 data updates / gating site at https://covid19.tempe.gov/pages/gating

    Data is collected from the Arizona Department of Health Services by Tempe Fire and Medical Rescue Department and updated weekly.

    Additional Information

    Source: Arizona Department of Health Services

    Contact (author): n/a

    Contact E-Mail (author): n/a

    Contact (maintainer): City of Tempe Open Data Team

    Contact E-Mail (maintainer): data@tempe.gov

    Data Source Type: Feature Layer (hosted) table

    Preparation Method: Data is collected from the Arizona Department of Health Services by Tempe Fire and Medical Rescue Department and updated weekly.

    Publish Frequency: Manual

    Publish Method: Weekly


    DO NOT DELETE

    --- Original source retains full ownership of the source dataset ---

  14. Urban Water Data - Drought Planning and Management

    • catalog.data.gov
    Updated Nov 27, 2024
    + more versions
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    California Department of Water Resources (2024). Urban Water Data - Drought Planning and Management [Dataset]. https://catalog.data.gov/dataset/urban-water-data-drought-planning-and-management-2dd23
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Department of Water Resourceshttp://www.water.ca.gov/
    Description

    This data package aims to pilot an approach for providing usable data for analyses related to drought planning and management for urban water suppliers--ultimately contributing to improvements in communication around drought. This project was convened by the California Water Data Consortium in partnership with the Department of Water Resources (DWR) and the State Water Resources and Control Board (SWB) and is one of two use cases of this working group that aim to improve data submitted by urban water suppliers in terms of accessibility and useability. The datasets from DWR and the SWB are compiled in a standard format to allow interested parties to synthesize and analyze these data into a cohesive message. This package includes a data management plan describing its development and maintenance. All code related to preparing this data package can be found on GitHub. Please note that the "org_id" (DWR's Organization ID) and the "pwsid" (SWB's Public Water System ID) can be used to connect to the various data tables in this package. We acknowledge that data quality issues may exist. Making these data available in a usable format will help identify and address data quality issues. If you identify any data quality issues, please contact the data steward (see contact information). We plan to iteratively update this data package to incorporate new data and to update existing data with quality fixes. The purpose of this project is to demonstrate how data from two agencies, when made publicly available, can be used in relevant analyses; if you found this data package useful, please contact the data steward (see contact information) to share your experience.

  15. Local Health: August 2022 update

    • gov.uk
    Updated Aug 2, 2022
    + more versions
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    Office for Health Improvement and Disparities (2022). Local Health: August 2022 update [Dataset]. https://www.gov.uk/government/statistics/local-health-august-2022-update
    Explore at:
    Dataset updated
    Aug 2, 2022
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Office for Health Improvement and Disparities
    Description

    Local Health contains indicators related to:

    • population and demographic factors, including age, sex and deprivation
    • health outcomes
    • wider determinants of health, including housing and living environment

    It presents data for middle super output areas (MSOAs), electoral wards, clinical commissioning groups (CCGs), local authorities, and England as a whole.

    The tool allows users to map data and provides spine charts and reports for small areas. Users can also define their own geographies and add their own data.

    This update contains:

    • 47 indicators updated with data for the latest available time period and the latest available boundaries
    • 13 indicators with no new source data have been updated to new ward and CCG 2021 boundaries
    • an update of wards and CCGs to 2021 boundaries – this includes those indicators for which more recent data is not available

    See the attached ‘Local Health: indicator updates, August 2022’ document for a full list of the available indicators, geographies and any other changes in this release.

  16. d

    Johns Hopkins COVID-19 Case Tracker

    • data.world
    csv, zip
    Updated Aug 9, 2025
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    The Associated Press (2025). Johns Hopkins COVID-19 Case Tracker [Dataset]. https://data.world/associatedpress/johns-hopkins-coronavirus-case-tracker
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Aug 9, 2025
    Authors
    The Associated Press
    Time period covered
    Jan 22, 2020 - Mar 9, 2023
    Area covered
    Description

    Updates

    • Notice of data discontinuation: Since the start of the pandemic, AP has reported case and death counts from data provided by Johns Hopkins University. Johns Hopkins University has announced that they will stop their daily data collection efforts after March 10. As Johns Hopkins stops providing data, the AP will also stop collecting daily numbers for COVID cases and deaths. The HHS and CDC now collect and visualize key metrics for the pandemic. AP advises using those resources when reporting on the pandemic going forward.

    • April 9, 2020

      • The population estimate data for New York County, NY has been updated to include all five New York City counties (Kings County, Queens County, Bronx County, Richmond County and New York County). This has been done to match the Johns Hopkins COVID-19 data, which aggregates counts for the five New York City counties to New York County.
    • April 20, 2020

      • Johns Hopkins death totals in the US now include confirmed and probable deaths in accordance with CDC guidelines as of April 14. One significant result of this change was an increase of more than 3,700 deaths in the New York City count. This change will likely result in increases for death counts elsewhere as well. The AP does not alter the Johns Hopkins source data, so probable deaths are included in this dataset as well.
    • April 29, 2020

      • The AP is now providing timeseries data for counts of COVID-19 cases and deaths. The raw counts are provided here unaltered, along with a population column with Census ACS-5 estimates and calculated daily case and death rates per 100,000 people. Please read the updated caveats section for more information.
    • September 1st, 2020

      • Johns Hopkins is now providing counts for the five New York City counties individually.
    • February 12, 2021

      • The Ohio Department of Health recently announced that as many as 4,000 COVID-19 deaths may have been underreported through the state’s reporting system, and that the "daily reported death counts will be high for a two to three-day period."
      • Because deaths data will be anomalous for consecutive days, we have chosen to freeze Ohio's rolling average for daily deaths at the last valid measure until Johns Hopkins is able to back-distribute the data. The raw daily death counts, as reported by Johns Hopkins and including the backlogged death data, will still be present in the new_deaths column.
    • February 16, 2021

      - Johns Hopkins has reconciled Ohio's historical deaths data with the state.

      Overview

    The AP is using data collected by the Johns Hopkins University Center for Systems Science and Engineering as our source for outbreak caseloads and death counts for the United States and globally.

    The Hopkins data is available at the county level in the United States. The AP has paired this data with population figures and county rural/urban designations, and has calculated caseload and death rates per 100,000 people. Be aware that caseloads may reflect the availability of tests -- and the ability to turn around test results quickly -- rather than actual disease spread or true infection rates.

    This data is from the Hopkins dashboard that is updated regularly throughout the day. Like all organizations dealing with data, Hopkins is constantly refining and cleaning up their feed, so there may be brief moments where data does not appear correctly. At this link, you’ll find the Hopkins daily data reports, and a clean version of their feed.

    The AP is updating this dataset hourly at 45 minutes past the hour.

    To learn more about AP's data journalism capabilities for publishers, corporations and financial institutions, go here or email kromano@ap.org.

    Queries

    Use AP's queries to filter the data or to join to other datasets we've made available to help cover the coronavirus pandemic

    Interactive

    The AP has designed an interactive map to track COVID-19 cases reported by Johns Hopkins.

    @(https://datawrapper.dwcdn.net/nRyaf/15/)

    Interactive Embed Code

    <iframe title="USA counties (2018) choropleth map Mapping COVID-19 cases by county" aria-describedby="" id="datawrapper-chart-nRyaf" src="https://datawrapper.dwcdn.net/nRyaf/10/" scrolling="no" frameborder="0" style="width: 0; min-width: 100% !important;" height="400"></iframe><script type="text/javascript">(function() {'use strict';window.addEventListener('message', function(event) {if (typeof event.data['datawrapper-height'] !== 'undefined') {for (var chartId in event.data['datawrapper-height']) {var iframe = document.getElementById('datawrapper-chart-' + chartId) || document.querySelector("iframe[src*='" + chartId + "']");if (!iframe) {continue;}iframe.style.height = event.data['datawrapper-height'][chartId] + 'px';}}});})();</script>
    

    Caveats

    • This data represents the number of cases and deaths reported by each state and has been collected by Johns Hopkins from a number of sources cited on their website.
    • In some cases, deaths or cases of people who've crossed state lines -- either to receive treatment or because they became sick and couldn't return home while traveling -- are reported in a state they aren't currently in, because of state reporting rules.
    • In some states, there are a number of cases not assigned to a specific county -- for those cases, the county name is "unassigned to a single county"
    • This data should be credited to Johns Hopkins University's COVID-19 tracking project. The AP is simply making it available here for ease of use for reporters and members.
    • Caseloads may reflect the availability of tests -- and the ability to turn around test results quickly -- rather than actual disease spread or true infection rates.
    • Population estimates at the county level are drawn from 2014-18 5-year estimates from the American Community Survey.
    • The Urban/Rural classification scheme is from the Center for Disease Control and Preventions's National Center for Health Statistics. It puts each county into one of six categories -- from Large Central Metro to Non-Core -- according to population and other characteristics. More details about the classifications can be found here.

    Johns Hopkins timeseries data - Johns Hopkins pulls data regularly to update their dashboard. Once a day, around 8pm EDT, Johns Hopkins adds the counts for all areas they cover to the timeseries file. These counts are snapshots of the latest cumulative counts provided by the source on that day. This can lead to inconsistencies if a source updates their historical data for accuracy, either increasing or decreasing the latest cumulative count. - Johns Hopkins periodically edits their historical timeseries data for accuracy. They provide a file documenting all errors in their timeseries files that they have identified and fixed here

    Attribution

    This data should be credited to Johns Hopkins University COVID-19 tracking project

  17. Palliative and end of life care profiles: July 2022 data update

    • s3.amazonaws.com
    • gov.uk
    Updated Jul 5, 2022
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    Office for Health Improvement and Disparities (2022). Palliative and end of life care profiles: July 2022 data update [Dataset]. https://s3.amazonaws.com/thegovernmentsays-files/content/182/1820762.html
    Explore at:
    Dataset updated
    Jul 5, 2022
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Office for Health Improvement and Disparities
    Description

    The update for July 2022 has been published by the Office for Health Improvement and Disparities (OHID).

    This update includes new data for 3 indicators in the Palliative and End of Life Care Profiles (Hospital Care). The indicators show the percentage of deaths with 3 or more emergency admissions in the last 3 months of life for all ages, 75 and over, and the under 75 age groups.

    The https://fingertips.phe.org.uk/profile/end-of-life" class="govuk-link">palliative and end of life care profiles are presented in an interactive tool which aims to help local government and health services improve care at the end of life.

  18. w

    New Mexico Heat Flow NMHeatFlow_simple.xls

    • data.wu.ac.at
    xls
    Updated Mar 6, 2018
    + more versions
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    HarvestMaster (2018). New Mexico Heat Flow NMHeatFlow_simple.xls [Dataset]. https://data.wu.ac.at/schema/geothermaldata_org/OWIyYWUwNDQtYzVjYy00ZDZmLThmZjEtZDQ3ZjVjNzAzNTZi
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Mar 6, 2018
    Dataset provided by
    HarvestMaster
    Area covered
    433332b1e0916f61b594ebc7c60d1d7b94cbbfce
    Description

    This is an updated and simplified version of the New Mexico heat flow data already on the NGDS that was used for Play Fairway analysis. This is an updated and simplified version of the New Mexico heat flow data already on the NGDS that was used for Play Fairway analysis.

  19. Local Alcohol Profiles for England: February 2020 data update

    • gov.uk
    • s3.amazonaws.com
    Updated Feb 12, 2020
    + more versions
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    Public Health England (2020). Local Alcohol Profiles for England: February 2020 data update [Dataset]. https://www.gov.uk/government/statistics/local-alcohol-profiles-for-england-february-2020-data-update
    Explore at:
    Dataset updated
    Feb 12, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Public Health England
    Area covered
    England
    Description

    Public Health England (PHE) has published an update to Local Alcohol Profiles for England (LAPE).

    The LAPE interactive tool presents a range of alcohol-related indicators and allows users to view and analyse data in a user-friendly format.

    The aim of the profile is to provide information for local government, health organisations, commissioners and other agencies to monitor the impact of alcohol on local communities, and to monitor the services and initiatives that have been put in place to prevent and reduce the harmful impact of alcohol.

    This release includes new data for the following indicators:

    • admission episodes for alcohol-related conditions
    • admission episodes for alcohol-specific conditions
    • admission episodes for alcohol-related unintentional injuries
    • admission episodes for mental and behavioural disorders due to use of alcohol
    • admission episodes for intentional self-poisoning by and exposure to alcohol
    • admission episodes for alcohol-related cardiovascular disease
    • admission episodes for alcoholic liver disease
    • successful completion of alcohol treatment
    • proportion waiting more than 3 weeks for alcohol treatment

    The following new indicators have been added:

    • quarterly admission episodes for alcohol-related conditions (Broad)
    • quarterly admission episodes for alcohol-related conditions (Narrow)

    View previous Local Alcohol Profiles for England updates.

    Relevant information from LAPE to aid in the understanding of alcohol-related harm in a local population is available from the https://webarchive.nationalarchives.gov.uk/20171107173418/http://www.lape.org.uk/" class="govuk-link">UK Government Web Archive.

  20. Data Citation Corpus Data File

    • data.niaid.nih.gov
    Updated Feb 20, 2025
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    Make Data Count (2025). Data Citation Corpus Data File [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_11196858
    Explore at:
    Dataset updated
    Feb 20, 2025
    Dataset provided by
    DataCitehttps://www.datacite.org/
    Make Data Count
    License

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

    Description

    Data file for the third release of the Data Citation Corpus, produced by DataCite and Make Data Count as part of an ongoing grant project funded by the Wellcome Trust. Read more about the project.

    The data file includes 5,322,388 data citation records in JSON and CSV formats. The JSON file is the version of record.

    For convenience, the data is provided in batches of approximately 1 million records each. The publication date and batch number are included in the file name, ex: 2025-02-01-data-citation-corpus-01-v3.0.json.

    The data citations in the file originate from the following sources:

    DataCite Event Data

    A project by Chan Zuckerberg Initiative (CZI) to identify mentions to datasets in the full text of articles

    Data citations identified Aligning Science Across Parkinson’s (ASAP)

    Each data citation record is comprised of:

    A pair of identifiers: An identifier for the dataset (a DOI or an accession number) and the DOI of the publication (journal article or preprint) in which the dataset is cited

    Metadata for the cited dataset and for the citing publication

    The data file includes the following fields:

    Field

    Description

    Required?

    id

    Internal identifier for the citation

    Yes

    created

    Date of item's incorporation into the corpus

    Yes

    updated

    Date of item's most recent update in corpus

    Yes

    repository

    Repository where cited data is stored

    No

    publisher

    Publisher for the article citing the data

    No

    journal

    Journal for the article citing the data

    No

    title

    Title of cited data

    No

    publication

    DOI of article where data is cited

    Yes

    dataset

    DOI or accession number of cited data

    Yes

    publishedDate

    Date when citing article was published

    No

    source

    Source where citation was harvested

    Yes

    subjects

    Subject information for cited data

    No

    affiliations

    Affiliation information for creator of cited data

    No

    funders

    Funding information for cited data

    No

    Additional documentation about the citations and metadata in the file is available on the Make Data Count website.

    Notes on v3.0:

    The third release of the Data Citation Corpus data file reflects a few changes made to add new citations, including those from a new data source (ASAP), update and enhance citation metadata, and improve the overall usability of the file. These changes are as follows:

    Add and update Event Data citations:

    Add 65,524 new data citations created in DataCite Event Data between August 2024 and December 2024

    Add ASAP citations:

    Add 750 new data citations provided by Aligning Science Across Parkinson’s (ASAP), identified through processes to evaluate compliance with ASAP’s for open science practices, which involve a partnership with DataSeer and internal curation (described here).

    Citations with provenance from ASAP are identified as “asap” in the source field

    Metadata enhancements:

    Reconcile and normalize organization names for affiliations and funders in a subset of records with the Research Organization Registry (ROR)

    Add ror_name and ror_id subfields for affiliations and funders in JSON files. Unreconciled affiliation and funder strings are identified with values of null

    Add new columns affiliationsROR and fundersROR in CSV files. Unreconciled affiliation and funder strings are identified with values of NONE NONE (this is to ensure consistency in number and order of values in cases where some strings have been reconciled and others have not)

    Normalize DOI formats for articles and papers as full URLs

    Additional details about the above changes, including scripts used to perform the above tasks, are available in GitHub.

    Additional enhancements to the corpus are ongoing and will be addressed in the course of subsequent releases. Users are invited to submit feedback via GitHub. For general questions, email info@makedatacount.org.

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Close
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data.cityofnewyork.us (2024). New York City Quarterly Economic Update [Dataset]. https://catalog.data.gov/dataset/new-york-city-quarterly-economic-update

New York City Quarterly Economic Update

Explore at:
3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Nov 1, 2024
Dataset provided by
data.cityofnewyork.us
Area covered
New York
Description

Linked hereto is the Comptroller's Quarterly New York City Economic Update, which includes a variety of data sets (nearly all of which are created separately by other other federal, state or city agencies and private entities) that provide information about the economy of New York City.

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