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  • 2015-2024
  • Research data
  • CZ
  • GOTRIPLE - Social Sciences and Huma...

  • Authors: Lacko, David; Čeněk, Jiří; Točík, Jaroslav; Avsec, Andreja; +7 Authors

    Individualism and collectivism are some of the most widely applied concepts in cultural and cross-cultural research. They are commonly applied by scholars who use arithmetic means or sum indexes of items on a scale to examine the potential similarities and differences in samples from various countries. For many reasons, cross-cultural research implicates numerous methodological and statistical pitfalls. The aim of this article is to summarize some of those pitfalls, particularly the problem of measurement non-invariance, which stems from the different understandings of questionnaire items or even different character of constructs between countries. This potential bias is reduced by latent mean comparisons performed with Multigroup Confirmatory Factor Analysis and the Measurement Invariance procedure within a Structural Equation Modeling framework. These procedures have been neglected by many researchers in the field of cross-cultural psychology, however. In this article, we compare ‘traditional’ (comparison of arithmetic means) and ‘invariant’ (latent mean comparison) approaches and provide necessary R source codes for replications of measurement invariance and latent mean comparisons within other scales. Both approaches are demonstrated with real data gathered on an Independent and Interdependent Self-Scale from 1386 participants across six countries (Slovenia, Croatia, Bosnia and Herzegovina, Serbia, Macedonia and Albania). Our results revealed considerable differences between the ‘invariant’ and ‘traditional’ approaches, especially in post-hoc analyses. Since ‘invariant’ results can be considered less biased, this finding suggests that the currently prevalent method of comparing the arithmetic means of cross-cultural scales of individualism and collectivism can potentially cause biased results.

    https://doi.org/10.2...arrow_drop_down
    https://doi.org/10.25384/sage....
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    https://doi.org/10.25384/sage....
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    Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    Dataset představuje přílohou k diplomové práci s názvem “Tematické modelování publikační činnosti České akademie věd a umění v letech 1890–1910”. Součástí je popis postupu stažení, analýzy a přípravy dat a samotného modelování témat, které bylo provedeno v rámci výzkumné části práce. Data a scripty byly zveřejněny také na platformě GitHub: https://github.com/kerschfilip/tematicke_modelovani_cavu Reference diplomové práce:KERSCH, Filip. Tematické modelování publikační činnosti České akademie věd a umění v letech 1890–1910. Online. Praha, 2023. Diplomová práce. Univerzita Karlova. Filozofická fakulta. Ústav informačních studií a knihovnictví. Vedoucí práce Jindřich Marek. ---- The dataset is an appendix to the thesis entitled “Topic modelling of the publication activities of the Czech Academy of Sciences and Arts in the years 1890–1910”. It includes a description of the procedure of downloading, analysis and preparation of data and the actual modelling of topics, which was carried out within the research part of the thesis. The data and scripts were also published on GitHub: https://github.com/kerschfilip/tematicke_modelovani_cavu --- Struktura a popis adresáře datasetu:Structure and description of the dataset: |-- README.Rmd |-- README.html |-- data_download | \-- data_download.R #slouží ke stažení dat z digitální knihovny | \-- uuid_ae767058-435d-11dd-b505-00145e5790ea #stažené textové přepisy Rozprav I. třídy | \-- TEXT_OCR_vol_{rok vydání}_No_{číslo}_{uuid}.txt #soubor s textovým přepisem | \-- uuid_ae767057-435d-11dd-b505-00145e5790ea #stažené textové přepisy Rozprav II. třídy | \-- TEXT_OCR_vol_{rok vydání}_No_{číslo}_{uuid}.txt #soubor s textovým přepisem | \-- uuid_ae74754a-435d-11dd-b505-00145e5790ea #stažené textové přepisy Rozprav III. třídy | \-- TEXT_OCR_vol_{rok vydání}_No_{číslo}_{uuid}.txt #soubor s textovým přepisem | \-- ae767058-435d-11dd-b505-00145e5790ea_prehled.json #struktura a metadata Rozprav I. třídy | \-- ae767057-435d-11dd-b505-00145e5790ea_prehled.json #struktura a metadata Rozprav II. třídy | \-- ae74754a-435d-11dd-b505-00145e5790ea_prehled.json #struktura a metadata Rozprav III. třídy |-- data_exploration | \-- data_exploration.R #slouží k vytvoření přehledu o stažených datech | \-- data_exploration_report.Rmd #formátování reportu s přehledem o stažených datech | \-- data_exploration_report.html #report o stažených datech ve formátu HTML | \-- ae767058-435d-11dd-b505-00145e5790ea_prehled_public.json #struktura a metadata Rozprav I. třídy (1890-1910) | \-- ae767057-435d-11dd-b505-00145e5790ea_prehled_public.json #struktura a metadata Rozprav II. třídy (1890-1910) | \-- ae74754a-435d-11dd-b505-00145e5790ea_prehled_public.json #struktura a metadata Rozprav III. třídy (1890-1910) | \-- combined_issues_publication_year.json #společná matice číslo - rok vydání pro všechny Rozpravy |-- data_preparation | \-- remove_short_words.R #slouží k odstranění krátkých slov | \-- send_to_udpipe.R #slouží k obohacení dat nástrojem UDPipe2 | \-- rozpravy_trida_1 #upravené textové přepisy Rozprav I. třídy | \-- TEXT_OCR_vol_{rok vydání}_No_{číslo}_{uuid}.txt #soubor s textovým přepisem | \-- PREPARED_TEXT_OCR_vol_{rok vydání}_No_{číslo}_{uuid}.txt #zkrácený soubor s textovým přepisem | \-- NOUNS_PREPARED_TEXT_OCR_vol_{rok vydání}_No_{číslo}_{uuid}.txt #soubor s podstatnými jmény z textového přepisu | \-- CoNLLU_PREPARED_TEXT_OCR_vol_{rok vydání}_No_{číslo}_{uuid}.json #soubor s obohacenými daty z nástroje UDPipe 2 | \-- rozpravy_trida_2 #upravené textové přepisy Rozprav II. třídy | \-- TEXT_OCR_vol_{rok vydání}_No_{číslo}_{uuid}.txt #soubor s textovým přepisem | \-- PREPARED_TEXT_OCR_vol_{rok vydání}_No_{číslo}_{uuid}.txt #zkrácený soubor s textovým přepisem | \-- NOUNS_PREPARED_TEXT_OCR_vol_{rok vydání}_No_{číslo}_{uuid}.txt #soubor s podstatnými jmény z textového přepisu | \-- CoNLLU_PREPARED_TEXT_OCR_vol_{rok vydání}_No_{číslo}_{uuid}.json #soubor s obohacenými daty z nástroje UDPipe 2 | \-- rozpravy_trida_3 #upravené textové přepisy Rozprav III. třídy | \-- TEXT_OCR_vol_{rok vydání}_No_{číslo}_{uuid}.txt #soubor s textovým přepisem | \-- PREPARED_TEXT_OCR_vol_{rok vydání}_No_{číslo}_{uuid}.txt #zkrácený soubor s textovým přepisem | \-- NOUNS_PREPARED_TEXT_OCR_vol_{rok vydání}_No_{číslo}_{uuid}.txt #soubor s podstatnými jmény z textového přepisu | \-- CoNLLU_PREPARED_TEXT_OCR_vol_{rok vydání}_No_{číslo}_{uuid}.json #soubor s obohacenými daty z nástroje UDPipe 2 |-- topic_model | \-- LDA.Rmd #dokument popisující spuštění LDA a vizualizaci výsledků | \-- LDA.html #dokument popisující spuštění LDA a vizualizaci výsledků ve formátu HTML | \-- combined_issues_publication_year.json #společná matice číslo - rok vydání pro všechny Rozpravy | \-- data #složka s daty | \-- LDA_PREPARED_NOUNS_PREPARED_TEXT_OCR_vol_{rok vydání}_No_{číslo}_{uuid}.txt #soubor s podstatnými jmény připravený na vstup LDA | \-- klasifikace_temat.xlsx #přiřazení rozpoznaných témat ke klasifikaci FORD | \-- topic_model.RData #uložené prostředí R se všemi proměnnými a funkcemi

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Dataset . 2023
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      ZENODO
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Breitfelder, Miroslav; Rohlíková, Lucie; Nový, Vladimír;

    Rozhovor s PhDr. Miroslavem Breitfelderem, Ph.D. z Katedry historie Fakulty pedagogické Západočeské univerzity v Plzni o tom, v čem spočívá práce historika, vedla PhDr. Lucie Rohlíková, Ph.D.

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Digital Library Univ...arrow_drop_down
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Digital Library Univ...arrow_drop_down
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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    Authors: D. Reckien; M. Olazabal; A. Buzasi; P. Eckersley; +31 Authors

    This dataset contains information on the characteristics of Local Climate Adaptation Plans in Europe. A sample of 328 medium- to large-sized cities across the formerly EU-28 was investigated for the availability of Local Climate Plans and strategies on climate change adaptation. A set of 168 cities out of the 328 were identified to have at least one, if not more Local Climate Adaptation Plans. The contents of these plans were documented, using an elaborated framework combining indicators of state-of-the -art plan quality principles with indicators of justice/ equity theory. Used common plan quality principles are 1) Fact base - Climate change impact, risk and vulnerability assessment (related to risk, sectors, justice), 2) Adaptation goals (related to risk, quantitative); 3) Adaptation measures (distributed across 12 sectors, justice); 4) Implementation process (prioritization, responsibility, timeframe) & tools (budget); 5) Monitoring & evaluation (responsibility, timeframe, justice). Additionally to the information on these 5 plan quality principles information on the (potential) participation process, a communication strategy, the national and regional context, as well as with access information, access data, access type, and other meta data were retrieved and documented. The publication dates of the plans range from 2005 - 2020. The collection period ranges from March 2019 to June 2021, depending on the country and city, with the majority collected between May 2019 and June 2020. Date: Data collection: March 2019 to June 2021, depending on the country and city. (Publication) Date of local adaptation plans: 2020. Content analysis of EU Local Climate Adaptation Plans and Strategies Date Submitted: 2022-06-14

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DANS Data Station SS...arrow_drop_down
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    DANS Data Station SSH; EASY
    Dataset . 2022 . 2024
    License: CC 0
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      DANS Data Station SSH; EASY
      Dataset . 2022 . 2024
      License: CC 0
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • Authors: Lacko, David; Čeněk, Jiří; Točík, Jaroslav; Avsec, Andreja; +7 Authors

    Individualism and collectivism are some of the most widely applied concepts in cultural and cross-cultural research. They are commonly applied by scholars who use arithmetic means or sum indexes of items on a scale to examine the potential similarities and differences in samples from various countries. For many reasons, cross-cultural research implicates numerous methodological and statistical pitfalls. The aim of this article is to summarize some of those pitfalls, particularly the problem of measurement non-invariance, which stems from the different understandings of questionnaire items or even different character of constructs between countries. This potential bias is reduced by latent mean comparisons performed with Multigroup Confirmatory Factor Analysis and the Measurement Invariance procedure within a Structural Equation Modeling framework. These procedures have been neglected by many researchers in the field of cross-cultural psychology, however. In this article, we compare ‘traditional’ (comparison of arithmetic means) and ‘invariant’ (latent mean comparison) approaches and provide necessary R source codes for replications of measurement invariance and latent mean comparisons within other scales. Both approaches are demonstrated with real data gathered on an Independent and Interdependent Self-Scale from 1386 participants across six countries (Slovenia, Croatia, Bosnia and Herzegovina, Serbia, Macedonia and Albania). Our results revealed considerable differences between the ‘invariant’ and ‘traditional’ approaches, especially in post-hoc analyses. Since ‘invariant’ results can be considered less biased, this finding suggests that the currently prevalent method of comparing the arithmetic means of cross-cultural scales of individualism and collectivism can potentially cause biased results.

    https://doi.org/10.2...arrow_drop_down
    https://doi.org/10.25384/sage....
    Collection . 2022
    License: CC BY
    Data sources: Datacite
    https://doi.org/10.25384/sage....
    Collection . 2022
    License: CC BY
    Data sources: Datacite
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      Collection . 2022
      License: CC BY
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    Dataset představuje přílohou k diplomové práci s názvem “Tematické modelování publikační činnosti České akademie věd a umění v letech 1890–1910”. Součástí je popis postupu stažení, analýzy a přípravy dat a samotného modelování témat, které bylo provedeno v rámci výzkumné části práce. Data a scripty byly zveřejněny také na platformě GitHub: https://github.com/kerschfilip/tematicke_modelovani_cavu Reference diplomové práce:KERSCH, Filip. Tematické modelování publikační činnosti České akademie věd a umění v letech 1890–1910. Online. Praha, 2023. Diplomová práce. Univerzita Karlova. Filozofická fakulta. Ústav informačních studií a knihovnictví. Vedoucí práce Jindřich Marek. ---- The dataset is an appendix to the thesis entitled “Topic modelling of the publication activities of the Czech Academy of Sciences and Arts in the years 1890–1910”. It includes a description of the procedure of downloading, analysis and preparation of data and the actual modelling of topics, which was carried out within the research part of the thesis. The data and scripts were also published on GitHub: https://github.com/kerschfilip/tematicke_modelovani_cavu --- Struktura a popis adresáře datasetu:Structure and description of the dataset: |-- README.Rmd |-- README.html |-- data_download | \-- data_download.R #slouží ke stažení dat z digitální knihovny | \-- uuid_ae767058-435d-11dd-b505-00145e5790ea #stažené textové přepisy Rozprav I. třídy | \-- TEXT_OCR_vol_{rok vydání}_No_{číslo}_{uuid}.txt #soubor s textovým přepisem | \-- uuid_ae767057-435d-11dd-b505-00145e5790ea #stažené textové přepisy Rozprav II. třídy | \-- TEXT_OCR_vol_{rok vydání}_No_{číslo}_{uuid}.txt #soubor s textovým přepisem | \-- uuid_ae74754a-435d-11dd-b505-00145e5790ea #stažené textové přepisy Rozprav III. třídy | \-- TEXT_OCR_vol_{rok vydání}_No_{číslo}_{uuid}.txt #soubor s textovým přepisem | \-- ae767058-435d-11dd-b505-00145e5790ea_prehled.json #struktura a metadata Rozprav I. třídy | \-- ae767057-435d-11dd-b505-00145e5790ea_prehled.json #struktura a metadata Rozprav II. třídy | \-- ae74754a-435d-11dd-b505-00145e5790ea_prehled.json #struktura a metadata Rozprav III. třídy |-- data_exploration | \-- data_exploration.R #slouží k vytvoření přehledu o stažených datech | \-- data_exploration_report.Rmd #formátování reportu s přehledem o stažených datech | \-- data_exploration_report.html #report o stažených datech ve formátu HTML | \-- ae767058-435d-11dd-b505-00145e5790ea_prehled_public.json #struktura a metadata Rozprav I. třídy (1890-1910) | \-- ae767057-435d-11dd-b505-00145e5790ea_prehled_public.json #struktura a metadata Rozprav II. třídy (1890-1910) | \-- ae74754a-435d-11dd-b505-00145e5790ea_prehled_public.json #struktura a metadata Rozprav III. třídy (1890-1910) | \-- combined_issues_publication_year.json #společná matice číslo - rok vydání pro všechny Rozpravy |-- data_preparation | \-- remove_short_words.R #slouží k odstranění krátkých slov | \-- send_to_udpipe.R #slouží k obohacení dat nástrojem UDPipe2 | \-- rozpravy_trida_1 #upravené textové přepisy Rozprav I. třídy | \-- TEXT_OCR_vol_{rok vydání}_No_{číslo}_{uuid}.txt #soubor s textovým přepisem | \-- PREPARED_TEXT_OCR_vol_{rok vydání}_No_{číslo}_{uuid}.txt #zkrácený soubor s textovým přepisem | \-- NOUNS_PREPARED_TEXT_OCR_vol_{rok vydání}_No_{číslo}_{uuid}.txt #soubor s podstatnými jmény z textového přepisu | \-- CoNLLU_PREPARED_TEXT_OCR_vol_{rok vydání}_No_{číslo}_{uuid}.json #soubor s obohacenými daty z nástroje UDPipe 2 | \-- rozpravy_trida_2 #upravené textové přepisy Rozprav II. třídy | \-- TEXT_OCR_vol_{rok vydání}_No_{číslo}_{uuid}.txt #soubor s textovým přepisem | \-- PREPARED_TEXT_OCR_vol_{rok vydání}_No_{číslo}_{uuid}.txt #zkrácený soubor s textovým přepisem | \-- NOUNS_PREPARED_TEXT_OCR_vol_{rok vydání}_No_{číslo}_{uuid}.txt #soubor s podstatnými jmény z textového přepisu | \-- CoNLLU_PREPARED_TEXT_OCR_vol_{rok vydání}_No_{číslo}_{uuid}.json #soubor s obohacenými daty z nástroje UDPipe 2 | \-- rozpravy_trida_3 #upravené textové přepisy Rozprav III. třídy | \-- TEXT_OCR_vol_{rok vydání}_No_{číslo}_{uuid}.txt #soubor s textovým přepisem | \-- PREPARED_TEXT_OCR_vol_{rok vydání}_No_{číslo}_{uuid}.txt #zkrácený soubor s textovým přepisem | \-- NOUNS_PREPARED_TEXT_OCR_vol_{rok vydání}_No_{číslo}_{uuid}.txt #soubor s podstatnými jmény z textového přepisu | \-- CoNLLU_PREPARED_TEXT_OCR_vol_{rok vydání}_No_{číslo}_{uuid}.json #soubor s obohacenými daty z nástroje UDPipe 2 |-- topic_model | \-- LDA.Rmd #dokument popisující spuštění LDA a vizualizaci výsledků | \-- LDA.html #dokument popisující spuštění LDA a vizualizaci výsledků ve formátu HTML | \-- combined_issues_publication_year.json #společná matice číslo - rok vydání pro všechny Rozpravy | \-- data #složka s daty | \-- LDA_PREPARED_NOUNS_PREPARED_TEXT_OCR_vol_{rok vydání}_No_{číslo}_{uuid}.txt #soubor s podstatnými jmény připravený na vstup LDA | \-- klasifikace_temat.xlsx #přiřazení rozpoznaných témat ke klasifikaci FORD | \-- topic_model.RData #uložené prostředí R se všemi proměnnými a funkcemi

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    ZENODO
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    ZENODO
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    Authors: Breitfelder, Miroslav; Rohlíková, Lucie; Nový, Vladimír;

    Rozhovor s PhDr. Miroslavem Breitfelderem, Ph.D. z Katedry historie Fakulty pedagogické Západočeské univerzity v Plzni o tom, v čem spočívá práce historika, vedla PhDr. Lucie Rohlíková, Ph.D.

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    Authors: D. Reckien; M. Olazabal; A. Buzasi; P. Eckersley; +31 Authors

    This dataset contains information on the characteristics of Local Climate Adaptation Plans in Europe. A sample of 328 medium- to large-sized cities across the formerly EU-28 was investigated for the availability of Local Climate Plans and strategies on climate change adaptation. A set of 168 cities out of the 328 were identified to have at least one, if not more Local Climate Adaptation Plans. The contents of these plans were documented, using an elaborated framework combining indicators of state-of-the -art plan quality principles with indicators of justice/ equity theory. Used common plan quality principles are 1) Fact base - Climate change impact, risk and vulnerability assessment (related to risk, sectors, justice), 2) Adaptation goals (related to risk, quantitative); 3) Adaptation measures (distributed across 12 sectors, justice); 4) Implementation process (prioritization, responsibility, timeframe) & tools (budget); 5) Monitoring & evaluation (responsibility, timeframe, justice). Additionally to the information on these 5 plan quality principles information on the (potential) participation process, a communication strategy, the national and regional context, as well as with access information, access data, access type, and other meta data were retrieved and documented. The publication dates of the plans range from 2005 - 2020. The collection period ranges from March 2019 to June 2021, depending on the country and city, with the majority collected between May 2019 and June 2020. Date: Data collection: March 2019 to June 2021, depending on the country and city. (Publication) Date of local adaptation plans: 2020. Content analysis of EU Local Climate Adaptation Plans and Strategies Date Submitted: 2022-06-14

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    DANS Data Station SSH; EASY
    Dataset . 2022 . 2024
    License: CC 0
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      DANS Data Station SSH; EASY
      Dataset . 2022 . 2024
      License: CC 0
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