4 datasets found
  1. SMARTDEST DATASET WP3 v1.0

    • data.europa.eu
    unknown
    Updated Jul 1, 2022
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    Zenodo (2022). SMARTDEST DATASET WP3 v1.0 [Dataset]. https://data.europa.eu/data/datasets/oai-zenodo-org-6787378?locale=de
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    unknown(9913124)Available download formats
    Dataset updated
    Jul 1, 2022
    Dataset authored and provided by
    Zenodohttp://zenodo.org/
    License

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

    Description

    The SMARTDEST DATASET WP3 v1.0 includes data at sub-city level for 7 cities: Amsterdam, Barcelona, Edinburgh, Lisbon, Ljubljana, Turin, and Venice. It is made up of information extracted from public sources at the local level (mostly, city council open data portals) or volunteered geographic information, that is, geospatial content generated by non-professionals using mapping systems available on the Internet (e.g., Geofabrik). Details on data sources and variables are included in a ‘metadata’ spreadsheet in the excel file. The same excel file contains 5 additional spreadsheets. The first one, labelled #1, was used to perform the analysis on the determinants of the geographical spread of tourism supply in SMARTDEST case study’s cities (in the main document D3.3, section 4.1), The second one (labelled #2) offers information that would allow to replicate the analysis on tourism-led population decline reported in section 4.3. As for spreadsheets named #3-AMS, #4-BCN, and #5-EDI, they refer to data sources and variables used to run follow-up analyses discussed in section 5.1, with the objective of digging into the causes of depopulation in Amsterdam, Barcelona, and Edinburgh, respectively. The column ‘row’ can be used to merge the excel file with the shapefile ‘db_task3.3_SmartDest’. Data are available at the buurt level in Amsterdam (an administrative unit roughly corresponding to a neighbourhood), census tract level in Barcelona and Ljubljana, for data zones in Edinburgh, statistical zones in Turin, and località in Venice.

  2. o

    Data from: Skepticism in science and punitive attitudes

    • openicpsr.org
    delimited
    Updated May 4, 2025
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    Jason Rydberg; Luke DeZago (2025). Skepticism in science and punitive attitudes [Dataset]. http://doi.org/10.3886/E228541V1
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    delimitedAvailable download formats
    Dataset updated
    May 4, 2025
    Dataset provided by
    University of Massachusetts Lowell
    Authors
    Jason Rydberg; Luke DeZago
    License

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

    Description

    Replication materials for the manuscript "Skepticism in Science and Punitive Attitudes", published in the Journal of Criminal Justice.Note that the GSS repeated cross sections for 1972 to 2018 are too large to upload here, but they can be accessed from https://gss.norc.org/content/dam/gss/get-the-data/documents/spss/GSS_spss.zipIncluded here are:(A link to the repeated cross-sections data)Each of the 3 wave panels (2006-2010; 2008-2012; 2010-2014)Replication R script for the repeated cross sections cleaning and analysisReplication R script for the panel data cleaning and analysisAn excel spreadsheet with Uniform Crime Report data to merge to the cross sections.

  3. e

    The federal budget in figures

    • data.europa.eu
    csv, xlsx, xml
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    Bundesministerium der Finanzen, The federal budget in figures [Dataset]. https://data.europa.eu/data/datasets/5a4fbf9a-1e75-4fd8-a248-ace646c9dbf6
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    csv, xlsx, xmlAvailable download formats
    Dataset authored and provided by
    Bundesministerium der Finanzen
    License

    Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
    License information was derived automatically

    Description

    Here you can download the data underlying our household application as Pdf, Excel, CSV, XML document. You may use the data, e.g. reproduce, distribute, process and merge with other data, including for commercial purposes.

    The legally binding document is always the official document on the federal budget. Therefore, if you use data from this application, please always point out these documents to your users.

  4. f

    Excel spreadsheet containing, in separate sheets, underlying numerical data...

    • plos.figshare.com
    xlsx
    Updated Sep 15, 2023
    + more versions
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    Hoi Tong Wong; Adeline M. Luperchio; Sean Riley; Daniel J. Salamango (2023). Excel spreadsheet containing, in separate sheets, underlying numerical data used to generate the indicated figure panels. [Dataset]. http://doi.org/10.1371/journal.ppat.1011634.s001
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Sep 15, 2023
    Dataset provided by
    PLOS Pathogens
    Authors
    Hoi Tong Wong; Adeline M. Luperchio; Sean Riley; Daniel J. Salamango
    License

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

    Description

    Excel spreadsheet containing, in separate sheets, underlying numerical data used to generate the indicated figure panels.

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Zenodo (2022). SMARTDEST DATASET WP3 v1.0 [Dataset]. https://data.europa.eu/data/datasets/oai-zenodo-org-6787378?locale=de
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SMARTDEST DATASET WP3 v1.0

Explore at:
unknown(9913124)Available download formats
Dataset updated
Jul 1, 2022
Dataset authored and provided by
Zenodohttp://zenodo.org/
License

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

Description

The SMARTDEST DATASET WP3 v1.0 includes data at sub-city level for 7 cities: Amsterdam, Barcelona, Edinburgh, Lisbon, Ljubljana, Turin, and Venice. It is made up of information extracted from public sources at the local level (mostly, city council open data portals) or volunteered geographic information, that is, geospatial content generated by non-professionals using mapping systems available on the Internet (e.g., Geofabrik). Details on data sources and variables are included in a ‘metadata’ spreadsheet in the excel file. The same excel file contains 5 additional spreadsheets. The first one, labelled #1, was used to perform the analysis on the determinants of the geographical spread of tourism supply in SMARTDEST case study’s cities (in the main document D3.3, section 4.1), The second one (labelled #2) offers information that would allow to replicate the analysis on tourism-led population decline reported in section 4.3. As for spreadsheets named #3-AMS, #4-BCN, and #5-EDI, they refer to data sources and variables used to run follow-up analyses discussed in section 5.1, with the objective of digging into the causes of depopulation in Amsterdam, Barcelona, and Edinburgh, respectively. The column ‘row’ can be used to merge the excel file with the shapefile ‘db_task3.3_SmartDest’. Data are available at the buurt level in Amsterdam (an administrative unit roughly corresponding to a neighbourhood), census tract level in Barcelona and Ljubljana, for data zones in Edinburgh, statistical zones in Turin, and località in Venice.

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