14 datasets found
  1. Budget change in EU data protection SAs 2020-2024

    • statista.com
    • ai-chatbox.pro
    Updated Mar 4, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Budget change in EU data protection SAs 2020-2024 [Dataset]. https://www.statista.com/statistics/1559570/eu-dpa-sas-budget-change/
    Explore at:
    Dataset updated
    Mar 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    EU
    Description

    Between 2020 and 2024, the data protection supervisory authorities in Cyprus had the highest change in budget among the European Union countries, as their authority's budget grew by 130 percent during the measured period. The second-highest increase in budget was recorded at the Austria's data protection authority.

  2. a

    Editing EU-SILC UDB Longitudinal Data for Differential Mortality Analyses....

    • data.aussda.at
    • datacatalogue.cessda.eu
    Updated Jun 23, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Tobias Göllner; Johannes Klotz; Tobias Göllner; Johannes Klotz (2023). Editing EU-SILC UDB Longitudinal Data for Differential Mortality Analyses. SAS code and documentation. [Dataset]. http://doi.org/10.11587/ZOOBKE
    Explore at:
    application/x-spss-syntax(891), application/x-sas-syntax(18728), type/x-r-syntax(1045), application/x-sas-syntax(4524)Available download formats
    Dataset updated
    Jun 23, 2023
    Dataset provided by
    AUSSDA
    Authors
    Tobias Göllner; Johannes Klotz; Tobias Göllner; Johannes Klotz
    License

    https://data.aussda.at/api/datasets/:persistentId/versions/1.1/customlicense?persistentId=doi:10.11587/ZOOBKEhttps://data.aussda.at/api/datasets/:persistentId/versions/1.1/customlicense?persistentId=doi:10.11587/ZOOBKE

    Area covered
    ; European Union
    Dataset funded by
    Federal Ministry of Science, Research and Economy
    Description

    This SAS code extracts data from EU-SILC User Database (UDB) longitudinal files and edits it such that a file is produced that can be further used for differential mortality analyses. Information from the original D, R, H and P files is merged per person and possibly pooled over several longitudinal data releases. Vital status information is extracted from target variables DB110 and RB110, and time at risk between the first interview and either death or censoring is estimated based on quarterly date information. Apart from path specifications, the SAS code consists of several SAS macros. Two of them require parameter specification from the user. The other ones are just executed. The code was written in Base SAS, Version 9.4. By default, the output file contains several variables which are necessary for differential mortality analyses, such as sex, age, country, year of first interview, and vital status information. In addition, the user may specify the analytical variables by which mortality risk should be compared later, for example educational level or occupational class. These analytical variables may be measured either at the first interview (the baseline) or at the last interview of a respondent. The output file is available in SAS format and by default also in csv format.

  3. Federal Court Cases: Integrated Data Base, 1970-2000 - Version 6

    • search.gesis.org
    Updated May 22, 2012
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Federal Judicial Center (2012). Federal Court Cases: Integrated Data Base, 1970-2000 - Version 6 [Dataset]. http://doi.org/10.3886/ICPSR08429.v6
    Explore at:
    Dataset updated
    May 22, 2012
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    GESIS search
    Authors
    Federal Judicial Center
    License

    https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de456864https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de456864

    Description

    Abstract (en): The purpose of this data collection is to provide an official public record of the business of the federal courts. The data originate from 94 district and 12 appellate court offices throughout the United States. Information was obtained at two points in the life of a case: filing and termination. The termination data contain information on both filing and terminations, while the pending data contain only filing information. For the appellate and civil data, the unit of analysis is a single case. The unit of analysis for the criminal data is a single defendant. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Performed consistency checks.; Standardized missing values.; Checked for undocumented or out-of-range codes.. All federal court cases, 1970-2000. 2012-05-22 All parts are being moved to restricted access and will be available only using the restricted access procedures.2005-04-29 The codebook files in Parts 57, 94, and 95 have undergone minor edits and been incorporated with their respective datasets. The SAS files in Parts 90, 91, 227, and 229-231 have undergone minor edits and been incorporated with their respective datasets. The SPSS files in Parts 92, 93, 226, and 228 have undergone minor edits and been incorporated with their respective datasets. Parts 15-28, 34-56, 61-66, 70-75, 82-89, 96-105, 107, 108, and 115-121 have had identifying information removed from the public use file and restricted data files that still include that information have been created. These parts have had their SPSS, SAS, and PDF codebook files updated to reflect the change. The data, SPSS, and SAS files for Parts 34-37 have been updated from OSIRIS to LRECL format. The codebook files for Parts 109-113 have been updated. The case counts for Parts 61-66 and 71-75 have been corrected in the study description. The LRECL for Parts 82, 100-102, and 105 have been corrected in the study description.2003-04-03 A codebook was created for Part 105, Civil Pending, 1997. Parts 232-233, SAS and SPSS setup files for Civil Data, 1996-1997, were removed from the collection since the civil data files for those years have corresponding SAS and SPSS setup files.2002-04-25 Criminal data files for Parts 109-113 have all been replaced with updated files. The updated files contain Criminal Terminations and Criminal Pending data in one file for the years 1996-2000. Part 114, originally Criminal Pending 2000, has been removed from the study and the 2000 pending data are now included in Part 113.2001-08-13 The following data files were revised to include plaintiff and defendant information: Appellate Terminations, 2000 (Part 107), Appellate Pending, 2000 (Part 108), Civil Terminations, 1996-2000 (Parts 103, 104, 115-117), and Civil Pending, 2000 (Part 118). The corresponding SAS and SPSS setup files and PDF codebooks have also been edited.2001-04-12 Criminal Terminations (Parts 109-113) data for 1996-2000 and Criminal Pending (Part 114) data for 2000 have been added to the data collection, along with corresponding SAS and SPSS setup files and PDF codebooks.2001-03-26 Appellate Terminations (Part 107) and Appellate Pending (Part 108) data for 2000 have been added to the data collection, along with corresponding SAS and SPSS setup files and PDF codebooks.1997-07-16 The data for 18 of the Criminal Data files were matched to the wrong part numbers and names, and now have been corrected. Funding insitution(s): United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics. (1) Several, but not all, of these record counts include a final blank record. Researchers may want to detect this occurrence and eliminate this record before analysis. (2) In July 1984, a major change in the recording and disposition of an appeal occurred, and several data fields dealing with disposition were restructured or replaced. The new structure more clearly delineates mutually exclusive dispositions. Researchers must exercise care in using these fields for comparisons. (3) In 1992, the Administrative Office of the United States Courts changed the reporting period for statistical data. Up to 1992, the reporting period...

  4. d

    Discrete profile measurements of carbon dioxide, hydrographic and chemical...

    • catalog.data.gov
    Updated Apr 1, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (Point of Contact) (2025). Discrete profile measurements of carbon dioxide, hydrographic and chemical data during the R/V Oden SAS-Oden 2021 (SO21) cruise (EXPOCODE 77DN20210725) in the Arctic Ocean from 2021-07-25 to 2021-09-20 (NCEI Accession 0278647) [Dataset]. https://catalog.data.gov/dataset/discrete-profile-measurements-of-carbon-dioxide-hydrographic-and-chemical-data-during-the-r-v-o
    Explore at:
    Dataset updated
    Apr 1, 2025
    Dataset provided by
    (Point of Contact)
    Area covered
    Arctic Ocean
    Description

    This dataset includes profile discrete measurements of dissolved inorganic carbon, total alkalinity, pH on total scale, water temperature, salinity, dissolved oxygen and other parameters measured during the R/V Oden SAS-Oden 2021 (SO21) cruise (EXPOCODE 77DN20210725) in the Arctic Ocean from 2021-07-25 to 2021-09-20. The SAS-Oden 2021 expedition (SO21) with icebreaker Oden1 (IB Oden) is the Swedish contribution to the international scientist-driven initiative †Synoptic Arctic Survey†(SAS)2. SAS will collect primary ecosystem data in the Arctic Ocean in 2020-2022 from both ice-breaking and non-ice-breaking research vessels. The goal of SAS is to generate a comprehensive dataset that allows for an improved characterization of the Arctic Ocean with respect to its (1) physical oceanography, (2) marine ecosystems and (3) carbon cycle. The complete SAS dataset will provide a unique baseline that will allow for tracking climate change and its impacts as they unfold in the Arctic region over the coming years, decades and centuries.

  5. Data from: Climate Change Data

    • datasearch.gesis.org
    Updated Feb 25, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Climate Change Data, World Bank Group (2020). Climate Change Data [Dataset]. https://datasearch.gesis.org/dataset/api_worldbank_org_v2_datacatalog-80
    Explore at:
    Dataset updated
    Feb 25, 2020
    Dataset provided by
    World Bankhttp://worldbank.org/
    Authors
    Climate Change Data, World Bank Group
    Description

    Data from World Development Indicators and Climate Change Knowledge Portal on climate systems, exposure to climate impacts, resilience, greenhouse gas emissions, and energy use.

  6. Year-on-year retail sales value change of small format stores in Poland...

    • ai-chatbox.pro
    • statista.com
    Updated Apr 29, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Adriana Sas (2025). Year-on-year retail sales value change of small format stores in Poland 2015-2024 [Dataset]. https://www.ai-chatbox.pro/?_=%2Ftopics%2F7892%2Fretail-market-in-poland%2F%23XgboD02vawLYpGJjSPEePEUG%2FVFd%2Bik%3D
    Explore at:
    Dataset updated
    Apr 29, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Adriana Sas
    Area covered
    Poland
    Description

    The most significant change in sales value was seen in July 2023, when sales increased by 5.7 percent on the previous year. Meanwhile, in December 2024, retail spending increased by two percent in the last year.

  7. r

    Fatturato annuo

    • reportaziende.it
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Media Asset, Fatturato annuo [Dataset]. https://www.reportaziende.it/inedit_sas_di_lorenzo_franzoni_c_bo_01531341202
    Explore at:
    Dataset authored and provided by
    Media Asset
    License

    https://www.reportaziende.it/termini_e_condizioni_d_uso_del_serviziohttps://www.reportaziende.it/termini_e_condizioni_d_uso_del_servizio

    Variables measured
    annualRevenue
    Description

    Fatturato per gli ultimi anni, elenco utili/perdita, costo dipendenti, soci esponenti e contatti per IN.EDIT S.A.S. DI LORENZO FRANZONI & C. in CASTEL SAN PIETRO TERME (BO)

  8. Retail purchase change after Sunday trading ban in Poland 2018, by day of...

    • statista.com
    Updated Feb 24, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Adriana Sas (2019). Retail purchase change after Sunday trading ban in Poland 2018, by day of the week [Dataset]. https://www.statista.com/study/60446/sunday-trading-ban-in-poland/
    Explore at:
    Dataset updated
    Feb 24, 2019
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Adriana Sas
    Area covered
    Poland
    Description

    The statistic shows the percentage change in retail purchasing after implementation of the Sunday trading ban in Poland in 2018, broken down by product and day of the week. According to the survey from April 2018, the highest percentage change in retail purchasing was noticed on Saturdays. Groceries were the type of product with the highest change in retail purchasing with 10 percent more people purchasing groceries on Saturdays.

  9. r

    Fatturato annuo

    • reportaziende.it
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Media Asset, Fatturato annuo [Dataset]. https://www.reportaziende.it/mer_edit_sas_di_pecoraro_marco_na_03386451219
    Explore at:
    Dataset authored and provided by
    Media Asset
    License

    https://www.reportaziende.it/termini_e_condizioni_d_uso_del_serviziohttps://www.reportaziende.it/termini_e_condizioni_d_uso_del_servizio

    Variables measured
    annualRevenue
    Description

    Fatturato per gli ultimi anni, elenco utili/perdita, costo dipendenti, soci esponenti e contatti per MER. EDIT S.A.S. DI PECORARO MARCO in CASORIA (NA)

  10. CCKP

    • datasearch.gesis.org
    Updated Feb 25, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Derived from the Climate Research Unit (Mitchell et al, 2003). (2020). CCKP [Dataset]. https://datasearch.gesis.org/dataset/api_worldbank_org_v2_datacatalog-82
    Explore at:
    Dataset updated
    Feb 25, 2020
    Dataset provided by
    World Bankhttp://worldbank.org/
    Authors
    Derived from the Climate Research Unit (Mitchell et al, 2003).
    Description

    This database contains historical temperature and precipitation data aggregated from 2-degree gridded data to the country and basin levels.

  11. r

    Fatturato annuo

    • reportaziende.it
    Updated Mar 15, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Media Asset (2024). Fatturato annuo [Dataset]. https://www.reportaziende.it/edit_city_sas_di_ciancio_luigi_c_na_05828450634
    Explore at:
    Dataset updated
    Mar 15, 2024
    Dataset authored and provided by
    Media Asset
    License

    https://www.reportaziende.it/termini_e_condizioni_d_uso_del_serviziohttps://www.reportaziende.it/termini_e_condizioni_d_uso_del_servizio

    Variables measured
    annualRevenue
    Description

    Fatturato per gli ultimi anni, elenco utili/perdita, costo dipendenti, soci esponenti e contatti per EDIT CITY S.A.S. DI CIANCIO LUIGI & C. in NAPOLI (NA)

  12. d

    Marine Mammal Watch, Dutch Harbor, AK-North Pole-Dutch Harbor, Alaska,...

    • search.dataone.org
    • dataone.org
    • +1more
    Updated Apr 12, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Sue E. Moore (2024). Marine Mammal Watch, Dutch Harbor, AK-North Pole-Dutch Harbor, Alaska, Healy2202-Synoptic Arctic Survey, 2022 [Dataset]. http://doi.org/10.18739/A2T727H7S
    Explore at:
    Dataset updated
    Apr 12, 2024
    Dataset provided by
    Arctic Data Center
    Authors
    Sue E. Moore
    Time period covered
    Sep 4, 2022 - Oct 24, 2022
    Area covered
    Variables measured
    SS, Ice, No., RFE, SPP, VIS, WEA, Comment, DataDate, DataHour, and 3 more
    Description

    "The Central Arctic Ocean remains profoundly understudied, particularly with respect to carbon cycling, ecosystem alteration, and associated changes in atmospheric, ice and ocean physics that drive those biological and biogeochemical systems. The region is expected to experience continued marked changes over the coming decades, driven by ongoing climate warming. Yet, because of relatively limited understanding of fundamental characteristics and processes in the region, predicting these changes and their Pan-Arctic linkages remains difficult. The Synoptic Arctic Survey (SAS) is organized around three major research areas: (1) physical drivers of importance to the ecosystem and carbon cycle; (2) the ecosystem response and (3) the carbon cycle. The overarching questions are: “What is the present state, and what are the major ongoing transformations of the Arctic marine system?” The overall objective of this expedition was to quantify the present states of the physical, biological, and biogeochemical systems of the Pacific Arctic (here defined as the Chukchi Sea, Beaufort shelf/slope, Chukchi Borderlands) and Canadian Basin (i.e., the Makarov and Canada basins) during summer 2022. A key goal is to document temporal changes where possible by comparison with historical data and to quantify linkages among adjacent shelves, slopes, and deep basins on a Pan-Arctic scale. These objectives are part of the International Synoptic Arctic Survey (SAS; 2021-2022) that seeks Pan-Arctic understanding of core ocean variables on a quasi-synoptic, spatially distributed basis using coordinated, international efforts. The findings of this expedition, a US contribution to the SAS, will be a foundation and legacy for future, quasi-decadal assessments of rapid and evolving Arctic Ocean system change." - Cruise Report USCGC Healy HLY2202/AWS2022 [Prepared by Carin Ashjian (cashjian@whoi.edu) and the HLY2202 Science Team]

  13. r

    Fatturato annuo

    • reportaziende.it
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Media Asset, Fatturato annuo [Dataset]. https://www.reportaziende.it/signore_sas_di_lovey_bernadett_edit_c_lt_01760020592
    Explore at:
    Dataset authored and provided by
    Media Asset
    License

    https://www.reportaziende.it/termini_e_condizioni_d_uso_del_serviziohttps://www.reportaziende.it/termini_e_condizioni_d_uso_del_servizio

    Variables measured
    annualRevenue
    Description

    Fatturato per gli ultimi anni, elenco utili/perdita, costo dipendenti, soci esponenti e contatti per SIGNORE S.A.S. DI LOVEY BERNADETT EDIT & C. in MINTURNO (LT)

  14. r

    Fatturato annuo

    • reportaziende.it
    Updated Mar 28, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Media Asset (2025). Fatturato annuo [Dataset]. https://www.reportaziende.it/fotedit_di_troiani_anna_maria_sas_rm_01264431006
    Explore at:
    Dataset updated
    Mar 28, 2025
    Dataset authored and provided by
    Media Asset
    License

    https://www.reportaziende.it/termini_e_condizioni_d_uso_del_serviziohttps://www.reportaziende.it/termini_e_condizioni_d_uso_del_servizio

    Variables measured
    annualRevenue
    Description

    Fatturato per gli ultimi anni, elenco utili/perdita, costo dipendenti, soci esponenti e contatti per FOT.EDIT. DI TROIANI ANNA MARIA S.A.S. in ROMA (RM)

  15. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Statista (2025). Budget change in EU data protection SAs 2020-2024 [Dataset]. https://www.statista.com/statistics/1559570/eu-dpa-sas-budget-change/
Organization logo

Budget change in EU data protection SAs 2020-2024

Explore at:
Dataset updated
Mar 4, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
EU
Description

Between 2020 and 2024, the data protection supervisory authorities in Cyprus had the highest change in budget among the European Union countries, as their authority's budget grew by 130 percent during the measured period. The second-highest increase in budget was recorded at the Austria's data protection authority.

Search
Clear search
Close search
Google apps
Main menu