100+ datasets found
  1. F

    Producer Price Index by Industry: Internet Publishing and Web Search...

    • fred.stlouisfed.org
    json
    Updated Jan 18, 2023
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    (2023). Producer Price Index by Industry: Internet Publishing and Web Search Portals: Internet Publishing and Web Search Portals - Subscription, Content Access, and Licensing Sales [Dataset]. https://fred.stlouisfed.org/series/PCU5191305191302
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 18, 2023
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Producer Price Index by Industry: Internet Publishing and Web Search Portals: Internet Publishing and Web Search Portals - Subscription, Content Access, and Licensing Sales (PCU5191305191302) from Dec 2009 to Dec 2022 about licenses, internet, printing, sales, PPI, industry, inflation, price index, indexes, price, and USA.

  2. T

    United States - Producer Price Index by Industry: Internet Publishing and...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 28, 2020
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    TRADING ECONOMICS (2020). United States - Producer Price Index by Industry: Internet Publishing and Web Search Portals: Internet Publishing and Web Search Portals - Subscription, Content Access, and Licensing Sales [Dataset]. https://tradingeconomics.com/united-states/producer-price-index-by-industry-internet-publishing-and-web-search-portals-internet-publishing-and-web-search-portals--subscription-content-access-and-licensing-sales-fed-data.html
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Dec 28, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Producer Price Index by Industry: Internet Publishing and Web Search Portals: Internet Publishing and Web Search Portals - Subscription, Content Access, and Licensing Sales was 128.84900 Index Dec 2009=100 in December of 2022, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Industry: Internet Publishing and Web Search Portals: Internet Publishing and Web Search Portals - Subscription, Content Access, and Licensing Sales reached a record high of 129.55300 in July of 2022 and a record low of 99.50000 in October of 2010. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Industry: Internet Publishing and Web Search Portals: Internet Publishing and Web Search Portals - Subscription, Content Access, and Licensing Sales - last updated from the United States Federal Reserve on November of 2025.

  3. F

    Producer Price Index by Commodity: Publishing Sales, Excluding Software:...

    • fred.stlouisfed.org
    json
    Updated Jan 18, 2023
    + more versions
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    (2023). Producer Price Index by Commodity: Publishing Sales, Excluding Software: Internet Publishing and Broadcasting Subscription, Content Access, and Licensing Sales [Dataset]. https://fred.stlouisfed.org/series/WPU335
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 18, 2023
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Producer Price Index by Commodity: Publishing Sales, Excluding Software: Internet Publishing and Broadcasting Subscription, Content Access, and Licensing Sales (WPU335) from Dec 2009 to Dec 2022 about broadcasting, licenses, internet, printing, software, sales, commodities, PPI, inflation, price index, indexes, price, and USA.

  4. GCN eDNA Habitat Suitability Index Survey for Ponds surveyed for Strategic...

    • ckan.publishing.service.gov.uk
    Updated Nov 2, 2018
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    ckan.publishing.service.gov.uk (2018). GCN eDNA Habitat Suitability Index Survey for Ponds surveyed for Strategic Licensing - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/gcn-edna-habitat-suitability-index-survey-for-ponds-surveyed-for-strategic-licensing
    Explore at:
    Dataset updated
    Nov 2, 2018
    Dataset provided by
    CKANhttps://ckan.org/
    Description

    Great Crested Newt eDNA and Habitat Suitability Index Survey results for Ponds surveyed for Strategic Licensing. Also included for some ponds is information on water pH and temperature as well as observations of other great crested newt life stages. Attribution statement: © Natural England copyright. Contains Ordnance Survey data © Crown copyright and database right [year].

  5. T

    United States - Imports of services: Royalties and license fees (chain-type...

    • tradingeconomics.com
    csv, excel, json, xml
    + more versions
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    TRADING ECONOMICS, United States - Imports of services: Royalties and license fees (chain-type price index) [Dataset]. https://tradingeconomics.com/united-states/imports-of-services-royalties-and-license-fees-chain-type-price-index-index-2009-100-fed-data.html
    Explore at:
    json, xml, csv, excelAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Imports of services: Royalties and license fees (chain-type price index) was 126.52600 Index 2009=100 in April of 2025, according to the United States Federal Reserve. Historically, United States - Imports of services: Royalties and license fees (chain-type price index) reached a record high of 126.52600 in April of 2025 and a record low of 15.04200 in January of 1967. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Imports of services: Royalties and license fees (chain-type price index) - last updated from the United States Federal Reserve on October of 2025.

  6. Data from: The Software Heritage License Dataset (2022 Edition)

    • zenodo.org
    • data.niaid.nih.gov
    application/gzip, bin
    Updated Jan 10, 2024
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    Jesus M. Gonzalez-Barahona; Sergio Montes-Leon; Gregorio Robles; Stefano Zacchiroli; Stefano Zacchiroli; Jesus M. Gonzalez-Barahona; Sergio Montes-Leon; Gregorio Robles (2024). The Software Heritage License Dataset (2022 Edition) [Dataset]. http://doi.org/10.5281/zenodo.10468061
    Explore at:
    bin, application/gzipAvailable download formats
    Dataset updated
    Jan 10, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Jesus M. Gonzalez-Barahona; Sergio Montes-Leon; Gregorio Robles; Stefano Zacchiroli; Stefano Zacchiroli; Jesus M. Gonzalez-Barahona; Sergio Montes-Leon; Gregorio Robles
    License

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

    Description

    This dataset contains all “license files” extracted from a snapshot of the Software Heritage archive taken on 2022-04-25. (Other, possibly more recent, versions of the datasets can be found at https://annex.softwareheritage.org/public/dataset/license-blobs/).

    In this context, a license file is a unique file content (or “blob”) that appeared in a software origin archived by Software Heritage as a file whose name is often used to ship licenses in software projects. Some name examples are: COPYING, LICENSE, NOTICE, COPYRIGHT, etc. The exact file name pattern used to select the blobs contained in the dataset can be found in the SQL query file 01-select-blobs.sql. Note that the file name was not expected to be at the project root, because project subdirectories can contain different licenses than the top-level one, and we wanted to include those too.

    Format

    The dataset is organized as follows:

    • blobs.tar.zst: a Zst-compressed tarball containing deduplicated license blobs, one per file. The tarball contains 6’859’189 blobs, for a total uncompressed size on disk of 66 GiB.

      The blobs are organized in a sharded directory structure that contains files named like blobs/86/24/8624bcdae55baeef00cd11d5dfcfa60f68710a02, where:

      • blobs/ is the root directory containing all license blobs

      • 8624bcdae55baeef00cd11d5dfcfa60f68710a02 is the SHA1 checksum of a specific license blobs, a copy of the GPL3 license in this case. Each license blob is ultimately named with its SHA1:

        $ head -n 3 blobs/86/24/8624bcdae55baeef00cd11d5dfcfa60f68710a02
                  GNU GENERAL PUBLIC LICENSE
                    Version 3, 29 June 2007
        
        $ sha1sum blobs/86/24/8624bcdae55baeef00cd11d5dfcfa60f68710a02
        8624bcdae55baeef00cd11d5dfcfa60f68710a02 blobs/86/24/8624bcdae55baeef00cd11d5dfcfa60f68710a02
      • 86 and 24 are, respectively, the first and second group of two hex digits in the blob SHA1

      One blob is missing, because its size (313MB) prevented its inclusion; (it was originally a tarball containing source code):

      swh:1:cnt:61bf63793c2ee178733b39f8456a796b72dc8bde,1340d4e2da173c92d432026ecdc54b4859fe9911,"AUTHORS"
    • blobs-sample20k.tar.zst: analogous to blobs.tar.zst, but containing “only” 20’000 randomly selected license blobs

    • license-blobs.csv.zst a Zst-compressed CSV index of all the blobs in the dataset. Each line in the index (except the first one, which contains column headers) describes a license blob and is in the format SWHID,SHA1,NAME, for example:

       swh:1:cnt:94a9ed024d3859793618152ea559a168bbcbb5e2,8624bcdae55baeef00cd11d5dfcfa60f68710a02,"COPYING"
       swh:1:cnt:94a9ed024d3859793618152ea559a168bbcbb5e2,8624bcdae55baeef00cd11d5dfcfa60f68710a02,"COPYING.GPL3"
       swh:1:cnt:94a9ed024d3859793618152ea559a168bbcbb5e2,8624bcdae55baeef00cd11d5dfcfa60f68710a02,"COPYING.GLP-3"

      where:

      • SWHID: the Software Heritage persistent identifier of the blob. It can be used to retrieve and cross-reference the license blob via the Software Heritage archive, e.g., at: https://archive.softwareheritage.org/swh:1:cnt:94a9ed024d3859793618152ea559a168bbcbb5e2

      • SHA1: the blob SHA1, that can be used to cross-reference blobs in the blobs/ directory

      • NAME: a file name given to the license blob in a given software origin. As the same license blob can have different names in different contexts, the index contain multiple entries for the same blob with different names, as it is the case in the example above (yes, one of those has a typo in it, but it’s an original typo from some repository!).

    • blobs-fileinfo.csv.zst a Zst-compressed CSV mapping from blobs to basic file information in the format: SHA1,MIME_TYPE,ENCODING,LINE_COUNT,WORD_COUNT,SIZE, where:

      • SHA1: blob SHA1
      • MIME_TYPE: blob MIME type, as detected by libmagic
      • ENCODING: blob character encoding, as detected by libmagic
      • LINE_COUNT: number of lines in the blob (only for textual blobs with UTF8 encoding)
      • WORD_COUNT: number of words in the blob (only for textual blobs with UTF8 encoding)
      • SIZE: blob size in bytes
    • blobs-scancode.csv.zst a Zst-compressed CSV mapping from blobs to software license detected in them by ScanCode, in the format: SHA1,LICENSE,SCORE, where:

      • SHA1: blob SHA1
      • LICENSE: license detected in the blob, as an SPDX identifier (or ScanCode identifier for non-SPDX-indexed licenses)
      • SCORE: confidence score in the result, as a decimal number between 0 and 100

      There may be zero or arbitrarily many lines for each blob.

    • blobs-scancode.ndjson.zst a Zst-compressed line-delimited JSON, containing a superset of the information in blobs-scancode.csv.zst. Each line is a JSON dictionary with three keys:

      • sha1: blob SHA1
      • licenses: output of scancode.api.get_licenses(..., min_score=0)
      • copyrights: output of scancode.api.get_copyrights(...)

      There is exactly one line for each blob. licenses and copyrights keys are omitted for files not detected as plain text.

    • blobs-origins.csv.zst a Zst-compressed CSV mapping of where license blobs come from. Each line in the index associate a license blob to one of its origins in the format SWHID, for example:

       swh:1:cnt:94a9ed024d3859793618152ea559a168bbcbb5e2 https://github.com/pombreda/Artemis

      Note that a license blob can come from many different places, only an arbitrary (and somewhat random) one is listed in this mapping.

      If no origin URL is found in the Software Heritage archive, then a blank is used instead. This happens when they were either being loaded when the dataset was generated, or the loader process crashed before completing the blob’s origin’s ingestion.

    • blobs-nb-origins.csv.zst a Zst-compressed CSV mapping of how many origins of this blob are known to Software Heritage. Each line in the index associate a license blob to this count in the format SWHID, for example:

       swh:1:cnt:94a9ed024d3859793618152ea559a168bbcbb5e2 2822260

      Two blobs are missing because the computation crashes:

       swh:1:cnt:e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
       swh:1:cnt:8b137891791fe96927ad78e64b0aad7bded08bdc

      This issue will be fixed in a future version of the dataset

    • blobs-earliest.csv.zst a Zst-compressed CSV mapping from blobs to information about their (earliest) known occurence(s) in the archive. Format: SWHID, where:

      • SWHID: blob SWHID
      • EARLIEST_SWHID: SWHID of the earliest known commit containing the blob
      • EARLIEST_TS: timestamp of the earliest known commit containing the blob, as a Unix time integer
      • OCCURRENCES: number of known commits containing the blob
    • replication-package.tar.gz: code and scripts used to produce the dataset

    • licenses-annotated-sample.tar.gz: ground truth, i.e., manually annotated random sample of license blobs, with details about the kind of information they contain.

    Changes since the 2021-03-23 dataset

    • More input data, due to the SWH archive growing: more origins in supported forges and package managers; and support for more forges and package

  7. Example of license applicants (update)

    • resourcedata.org
    pdf
    Updated Jun 14, 2021
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    Resource Governance Index Source Library (2021). Example of license applicants (update) [Dataset]. https://www.resourcedata.org/dataset/groups/rgi-example-of-license-applicants-update-
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    pdfAvailable download formats
    Dataset updated
    Jun 14, 2021
    Dataset provided by
    Natural Resource Governance Institutehttps://resourcegovernance.org/
    Description

    Question 1.1.6a: From 2015 onwards, and after each licensing process, did the licensing authority actually disclose the list of companies that submitted license applications (in the case of a first-come, first served; or negotiation round) or bids (in the case of an auction)?

  8. F

    Producer Price Index by Industry: Directory and Mailing List Publishers:...

    • fred.stlouisfed.org
    json
    Updated Nov 25, 2025
    + more versions
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    (2025). Producer Price Index by Industry: Directory and Mailing List Publishers: Directory and Mailing List Publishing from Print - Subscription, Content, and Licensing Sales [Dataset]. https://fred.stlouisfed.org/series/PCU5111405111405
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Nov 25, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Producer Price Index by Industry: Directory and Mailing List Publishers: Directory and Mailing List Publishing from Print - Subscription, Content, and Licensing Sales (PCU5111405111405) from Jan 2008 to Sep 2025 about licenses, postal, printing, sales, PPI, industry, inflation, price index, indexes, price, and USA.

  9. R&D licenses in the medical technology industry in the U.S. 2020-2025, by...

    • statista.com
    • abripper.com
    Updated Sep 25, 2025
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    Statista (2025). R&D licenses in the medical technology industry in the U.S. 2020-2025, by size [Dataset]. https://www.statista.com/statistics/1485057/randd-licenses-in-medtech-us-by-size/
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    Dataset updated
    Sep 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the first half of 2025, there were ** R&D licensing deals in the medical technology industry in the United States. Of these, **** were under 10 million U.S. dollars, *****were worth between 10 and 99 million U.S. dollars, and ***** had a value greater than 100 million U.S. dollars.

  10. T

    United States - Producer Price Index by Industry: Directory and Mailing List...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 28, 2020
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    TRADING ECONOMICS (2020). United States - Producer Price Index by Industry: Directory and Mailing List Publishers: Directory and Mailing List Publishing - Subscription, Content, and Licensing Sales [Dataset]. https://tradingeconomics.com/united-states/producer-price-index-by-industry-directory-and-mailing-list-publishers-directory-and-mailing-list-publishing--subscription-content-and-licensing-sales-fed-data.html
    Explore at:
    json, xml, csv, excelAvailable download formats
    Dataset updated
    Dec 28, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Producer Price Index by Industry: Directory and Mailing List Publishers: Directory and Mailing List Publishing - Subscription, Content, and Licensing Sales was 177.61800 Index Jan 2008=100 in August of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Industry: Directory and Mailing List Publishers: Directory and Mailing List Publishing - Subscription, Content, and Licensing Sales reached a record high of 188.29200 in July of 2025 and a record low of 100.00000 in January of 2008. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Industry: Directory and Mailing List Publishers: Directory and Mailing List Publishing - Subscription, Content, and Licensing Sales - last updated from the United States Federal Reserve on November of 2025.

  11. y

    US Imports of Royalties and License Fees Price Index

    • ycharts.com
    html
    Updated Sep 25, 2025
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    Bureau of Economic Analysis (2025). US Imports of Royalties and License Fees Price Index [Dataset]. https://ycharts.com/indicators/us_imports_of_royalties_and_license_fees_price_index
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    htmlAvailable download formats
    Dataset updated
    Sep 25, 2025
    Dataset provided by
    YCharts
    Authors
    Bureau of Economic Analysis
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Mar 31, 1967 - Jun 30, 2025
    Area covered
    United States
    Variables measured
    US Imports of Royalties and License Fees Price Index
    Description

    View quarterly updates and historical trends for US Imports of Royalties and License Fees Price Index. from United States. Source: Bureau of Economic Anal…

  12. T

    United States - Producer Price Index by Commodity: Publishing Sales,...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 28, 2020
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    TRADING ECONOMICS (2020). United States - Producer Price Index by Commodity: Publishing Sales, Excluding Software: Internet Publishing and Broadcasting Subscription, Content Access, and Licensing Sales [Dataset]. https://tradingeconomics.com/united-states/producer-price-index-by-commodity-for-publishing-sales-excluding-software-internet-publishing-and-broadcasting-subscription-content-access-and-licensing-sales-fed-data.html
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Dec 28, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Producer Price Index by Commodity: Publishing Sales, Excluding Software: Internet Publishing and Broadcasting Subscription, Content Access, and Licensing Sales was 128.85300 Index Dec 2009=100 in December of 2022, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Commodity: Publishing Sales, Excluding Software: Internet Publishing and Broadcasting Subscription, Content Access, and Licensing Sales reached a record high of 129.55700 in July of 2022 and a record low of 99.50000 in October of 2010. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Commodity: Publishing Sales, Excluding Software: Internet Publishing and Broadcasting Subscription, Content Access, and Licensing Sales - last updated from the United States Federal Reserve on November of 2025.

  13. T

    United States - Exports of services: Royalties and license fees (chain-type...

    • tradingeconomics.com
    csv, excel, json, xml
    + more versions
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    TRADING ECONOMICS, United States - Exports of services: Royalties and license fees (chain-type price index) [Dataset]. https://tradingeconomics.com/united-states/exports-of-services-royalties-and-license-fees-chain-type-price-index-index-2009-100-fed-data.html
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Exports of services: Royalties and license fees (chain-type price index) was 126.54100 Index 2009=100 in April of 2025, according to the United States Federal Reserve. Historically, United States - Exports of services: Royalties and license fees (chain-type price index) reached a record high of 126.54100 in April of 2025 and a record low of 15.04400 in January of 1967. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Exports of services: Royalties and license fees (chain-type price index) - last updated from the United States Federal Reserve on November of 2025.

  14. m

    Deutsche Börse AG - Total-Liabilities

    • macro-rankings.com
    csv, excel
    Updated Oct 9, 2025
    + more versions
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    macro-rankings (2025). Deutsche Börse AG - Total-Liabilities [Dataset]. https://www.macro-rankings.com/markets/stocks/db1-xetra/balance-sheet/total-liabilities
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    excel, csvAvailable download formats
    Dataset updated
    Oct 9, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    germany
    Description

    Total-Liabilities Time Series for Deutsche Börse AG. Deutsche Börse AG operates as an international exchange organization in Germany, rest of Europe, the United States, and the Asia-Pacific. It operates through four segments: Investment Management Solutions; Trading & Clearing; Fund Services; and Securities Services. The company offers investment management solutions that include indices and research, such as ISS solutions, STOXX and DAX indices, index licensing, customized indices, and index calculation services; software and analytics services; pre-IPO and listing, including market structure, growth financing, going and being public, private market, and statistics/circulars; and cash, spot, and derivatives market and foreign exchange services, as well as real time market data, analytics, historical market data, and reference data. It also operates in the cash market through Xetra, Börse Frankfurt, and Tradegate trading venues; and offers Eurex and European commodity clearing services. In addition, the company offers securities services, including issuance of securities, settlement, and asset services; clearstream fund centre, which provides fund processing services; and Kneip that provides fund data management and reporting solutions for the asset management industry. Further, it engages in the operation of third clearing house Nodal Clear; and specialized software as a service platform for trading participants; and API platform, as well as provision of information technology solutions, including financial market, commodities market, and network connectivity solutions under the Deutsche Börse and 7 Market Technology brands. The company was founded in 1585 and is headquartered in Frankfurt am Main, Germany.

  15. Trucking licenses and operations index

    • tcdata360.worldbank.org
    Updated Apr 29, 2017
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    World Bank (2017). Trucking licenses and operations index [Dataset]. https://tcdata360.worldbank.org/indicators/h0c1dfbe6
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    Dataset updated
    Apr 29, 2017
    Dataset provided by
    World Bank Grouphttp://www.worldbank.org/
    Description

    The trucking licenses and operations indicator measures the regulatory and normative framework to access and operate domestically within the road freight transport service market. Overall, the indicators determine the extent to which legal foundations provide for a clear and transparent system for accessing the market, guarantee a level playing field for competition, and dedicate special legal provisions for transporting agriculture and food products.

  16. Historical S&P 500 (^GSPC) Index Data (1927–2025)

    • kaggle.com
    zip
    Updated Aug 31, 2025
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    Reza Nematpour (2025). Historical S&P 500 (^GSPC) Index Data (1927–2025) [Dataset]. https://www.kaggle.com/datasets/rezanematpour/historical-s-and-p-500-gspc-index-data-19272025
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    zip(350147 bytes)Available download formats
    Dataset updated
    Aug 31, 2025
    Authors
    Reza Nematpour
    Description

    This dataset contains the full historical record of the S&P 500 index (^GSPC), downloaded via the Yahoo Finance API using the yfinance Python library.

    The dataset includes: - Date: Trading date - Open, High, Low, Close: Daily price levels - Volume: Daily trading volume

    Period covered: Dec 30, 1927 – Aug 31, 2025 Frequency: Daily

    ⚠️ Disclaimer: This dataset is provided for educational and research purposes only. Redistribution or commercial use may be subject to Yahoo Finance’s Terms of Service

    License

    Data sourced from Yahoo Finance. Provided for educational and research purposes only. Redistribution may be restricted.

  17. m

    Deutsche Börse AG - Net-Income-Including-Non-Controlling-Interests

    • macro-rankings.com
    csv, excel
    Updated Mar 8, 2025
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    macro-rankings (2025). Deutsche Börse AG - Net-Income-Including-Non-Controlling-Interests [Dataset]. https://www.macro-rankings.com/Markets/Stocks?Entity=DB1.XETRA&Item=Net-Income-Including-Non-Controlling-Interests
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Mar 8, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    germany
    Description

    Net-Income-Including-Non-Controlling-Interests Time Series for Deutsche Börse AG. Deutsche Börse AG operates as an international exchange organization in Germany, rest of Europe, the United States, and the Asia-Pacific. It operates through four segments: Investment Management Solutions; Trading & Clearing; Fund Services; and Securities Services. The company offers investment management solutions that include indices and research, such as ISS solutions, STOXX and DAX indices, index licensing, customized indices, and index calculation services; software and analytics services; pre-IPO and listing, including market structure, growth financing, going and being public, private market, and statistics/circulars; and cash, spot, and derivatives market and foreign exchange services, as well as real time market data, analytics, historical market data, and reference data. It also operates in the cash market through Xetra, Börse Frankfurt, and Tradegate trading venues; and offers Eurex and European commodity clearing services. In addition, the company offers securities services, including issuance of securities, settlement, and asset services; clearstream fund centre, which provides fund processing services; and Kneip that provides fund data management and reporting solutions for the asset management industry. Further, it engages in the operation of third clearing house Nodal Clear; and specialized software as a service platform for trading participants; and API platform, as well as provision of information technology solutions, including financial market, commodities market, and network connectivity solutions under the Deutsche Börse and 7 Market Technology brands. The company was founded in 1585 and is headquartered in Frankfurt am Main, Germany.

  18. w

    Vehicle licensing statistics data tables

    • gov.uk
    • s3.amazonaws.com
    Updated Oct 15, 2025
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    Department for Transport (2025). Vehicle licensing statistics data tables [Dataset]. https://www.gov.uk/government/statistical-data-sets/vehicle-licensing-statistics-data-tables
    Explore at:
    Dataset updated
    Oct 15, 2025
    Dataset provided by
    GOV.UK
    Authors
    Department for Transport
    Description

    Data files containing detailed information about vehicles in the UK are also available, including make and model data.

    Some tables have been withdrawn and replaced. The table index for this statistical series has been updated to provide a full map between the old and new numbering systems used in this page.

    The Department for Transport is committed to continuously improving the quality and transparency of our outputs, in line with the Code of Practice for Statistics. In line with this, we have recently concluded a planned review of the processes and methodologies used in the production of Vehicle licensing statistics data. The review sought to seek out and introduce further improvements and efficiencies in the coding technologies we use to produce our data and as part of that, we have identified several historical errors across the published data tables affecting different historical periods. These errors are the result of mistakes in past production processes that we have now identified, corrected and taken steps to eliminate going forward.

    Most of the revisions to our published figures are small, typically changing values by less than 1% to 3%. The key revisions are:

    Licensed Vehicles (2014 Q3 to 2016 Q3)

    We found that some unlicensed vehicles during this period were mistakenly counted as licensed. This caused a slight overstatement, about 0.54% on average, in the number of licensed vehicles during this period.

    3.5 - 4.25 tonnes Zero Emission Vehicles (ZEVs) Classification

    Since 2023, ZEVs weighing between 3.5 and 4.25 tonnes have been classified as light goods vehicles (LGVs) instead of heavy goods vehicles (HGVs). We have now applied this change to earlier data and corrected an error in table VEH0150. As a result, the number of newly registered HGVs has been reduced by:

    • 3.1% in 2024

    • 2.3% in 2023

    • 1.4% in 2022

    Table VEH0156 (2018 to 2023)

    Table VEH0156, which reports average CO₂ emissions for newly registered vehicles, has been updated for the years 2018 to 2023. Most changes are minor (under 3%), but the e-NEDC measure saw a larger correction, up to 15.8%, due to a calculation error. Other measures (WLTP and Reported) were less notable, except for April 2020 when COVID-19 led to very few new registrations which led to greater volatility in the resultant percentages.

    Neither these specific revisions, nor any of the others introduced, have had a material impact on the statistics overall, the direction of trends nor the key messages that they previously conveyed.

    Specific details of each revision made has been included in the relevant data table notes to ensure transparency and clarity. Users are advised to review these notes as part of their regular use of the data to ensure their analysis accounts for these changes accordingly.

    If you have questions regarding any of these changes, please contact the Vehicle statistics team.

    All vehicles

    Licensed vehicles

    Overview

    VEH0101: https://assets.publishing.service.gov.uk/media/68ecf5acf159f887526bbd7c/veh0101.ods">Vehicles at the end of the quarter by licence status and body type: Great Britain and United Kingdom (ODS, 99.7 KB)

    Detailed breakdowns

    VEH0103: https://assets.publishing.service.gov.uk/media/68ecf5abf159f887526bbd7b/veh0103.ods">Licensed vehicles at the end of the year by tax class: Great Britain and United Kingdom (ODS, 23.8 KB)

    VEH0105: https://assets.publishing.service.gov.uk/media/68ecf5ac2adc28a81b4acfc8/veh0105.ods">Licensed vehicles at

  19. R

    Index Dataset

    • universe.roboflow.com
    zip
    Updated Mar 1, 2024
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    Mai (2024). Index Dataset [Dataset]. https://universe.roboflow.com/mai-m3h4k/index-fp6xw
    Explore at:
    zipAvailable download formats
    Dataset updated
    Mar 1, 2024
    Dataset authored and provided by
    Mai
    License

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

    Variables measured
    Knife Gun Person Bounding Boxes
    Description

    Index

    ## Overview
    
    Index is a dataset for object detection tasks - it contains Knife Gun Person annotations for 200 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [Public Domain license](https://creativecommons.org/licenses/Public Domain).
    
  20. m

    Deutsche Börse AG - Operating-Expenses

    • macro-rankings.com
    csv, excel
    Updated Jul 21, 2025
    + more versions
    Share
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    macro-rankings (2025). Deutsche Börse AG - Operating-Expenses [Dataset]. https://www.macro-rankings.com/Markets/Stocks?Entity=DB1.XETRA&Item=Operating-Expenses
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Jul 21, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    germany
    Description

    Operating-Expenses Time Series for Deutsche Börse AG. Deutsche Börse AG operates as an international exchange organization in Germany, rest of Europe, the United States, and the Asia-Pacific. It operates through four segments: Investment Management Solutions; Trading & Clearing; Fund Services; and Securities Services. The company offers investment management solutions that include indices and research, such as ISS solutions, STOXX and DAX indices, index licensing, customized indices, and index calculation services; software and analytics services; pre-IPO and listing, including market structure, growth financing, going and being public, private market, and statistics/circulars; and cash, spot, and derivatives market and foreign exchange services, as well as real time market data, analytics, historical market data, and reference data. It also operates in the cash market through Xetra, Börse Frankfurt, and Tradegate trading venues; and offers Eurex and European commodity clearing services. In addition, the company offers securities services, including issuance of securities, settlement, and asset services; clearstream fund centre, which provides fund processing services; and Kneip that provides fund data management and reporting solutions for the asset management industry. Further, it engages in the operation of third clearing house Nodal Clear; and specialized software as a service platform for trading participants; and API platform, as well as provision of information technology solutions, including financial market, commodities market, and network connectivity solutions under the Deutsche Börse and 7 Market Technology brands. The company was founded in 1585 and is headquartered in Frankfurt am Main, Germany.

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
(2023). Producer Price Index by Industry: Internet Publishing and Web Search Portals: Internet Publishing and Web Search Portals - Subscription, Content Access, and Licensing Sales [Dataset]. https://fred.stlouisfed.org/series/PCU5191305191302

Producer Price Index by Industry: Internet Publishing and Web Search Portals: Internet Publishing and Web Search Portals - Subscription, Content Access, and Licensing Sales

PCU5191305191302

Explore at:
jsonAvailable download formats
Dataset updated
Jan 18, 2023
License

https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

Description

Graph and download economic data for Producer Price Index by Industry: Internet Publishing and Web Search Portals: Internet Publishing and Web Search Portals - Subscription, Content Access, and Licensing Sales (PCU5191305191302) from Dec 2009 to Dec 2022 about licenses, internet, printing, sales, PPI, industry, inflation, price index, indexes, price, and USA.

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