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Recent Submissions

Now showing 1 - 5 of 25

  • Data about 2023 Sejm elections, county level

    Wenzel, Michał
    Data on county (powiat) level in Poland. The data was compiled from public sources. Turbout and party vote in Sejm elections on 15 Oct. 2023: National Electoral Comission (PKW) Earnings and unemployment: Central Statistical Office (GUS) Religious participation: Institute for statistics of the Catholic Church (ISKK)
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  • Projekt badawczy: Przekraczając (nie)widzialne granice. Doświadczenie awansu klasowego w biografiach jednostek (MINIATURA 2020/04/X/HS6/00399)

    Kajta, Justyna
    Udostępniane materiały (zestawienie 30 narratorów i narratorek, z którymi zrealizowane zostały wywiady; scenariusz wywiadu, oraz transkrypcje wywiadów z osobami, które wyraziły zgodę na archiwizację) pochodzą z projektu badawczego "Przekraczając (nie)widzialne granice. Doświadczenie awansu klasowego w biografiach jednostek" (NCN MINIATURA 2020/04/X/HS6/00399), realizowanego w latach 2020-2021 w Uniwersytecie Wrocławskim. Projekt ten stanowił pilotaż i obecnie jest rozwijany w ramach projektu "RaM-CLASS. Reprodukcja i mobilność klasowa – doświadczenia biograficzne w polach akademii, sztuki i biznesu" (NCN SONATA 2022/47/D/HS6/00726). Wywiady zebrane w projekcie pilotażowym są poddawane dalszej analizie. W ramach obu projektów gromadzone były wywiady biograficzno-narracyjne z naukowcami/naukowczyniami, artystami/artystkami, menadżerami/menadżerami biznesu. W ramach MINIATURY zbierane były wywiady z osobami, które doświadczyły międzypokoleniowego awansu klasowego.
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  • Data on the development and assessment of policy briefs co-created with genAI

    Olejniczak, Karol
    Wojtowicz, Dominika
    Data set contains: (1) Record of three prompting sessions with genAI to co-create policy briefs (sessions B, C, and D); (2) Instructions to experts and a package of 4 policy briefs to be assessed (Policy briefs A, B, C, and D); (3) Results of assessments made by 15 experts.
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  • Neural Mechanisms and Efficacy of Imagery Rescripting for Fear of Failure: A Randomized Controlled Trial

    Michałowski, Jarosław
    Karkosz, Stanisław
    Data from the study Neural Mechanisms and Efficacy of Imagery Rescripting for Fear of Failure: A Randomized Controlled Trial, financed by the National Science Centre (grant number 2018/30/E/HS6/00703 Sonata Bis 8). The dataset contains demographic data, intervention data, and the extracted BOLD signal from the ROI. The whole fMRI dataset, organized using BIDS, can be accessed here (due to the size of the whole BIDS dataset, it is kept on the Google drive): https://drive.google.com/drive/folders/1iA9v5s9hvRRqZhXULEtxr9YpVGV2Eym8?usp=sharing For full access, please contact Principal Investigator, Professor Jarosław Michałowski ([email protected]), or Stanisław Karkosz ([email protected]). This work was produced in whole or in part by SWPS University researchers and is subject to the SWPS University Intellectual property policy. For the purpose of Open Access the author has applied a CC BY public copyright license to any Author Accepted Manuscript version arising from this submission. This research was funded in whole or in part by the National Science Centre (grant number 2018/30/E/HS6/00703 Sonata Bis 8. For the purpose of Open Access, the author has applied a CC-BY public copyright license to any Author Accepted Manuscript (AAM) version arising from this submission.
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  • Imagine yourself as a little girl… - Efficacy and Psychophysiology of Imagery Techniques targeting adverse autobiographical childhood experiences- Multi-Arm Randomized Controlled Trial

    Michałowski, Jarosław
    Karkosz, Stanisław
    Data from the study Imagine yourself as a little girl… - Efficacy and Psychophysiology of Imagery Techniques targeting adverse autobiographical childhood experiences- Multi-Arm Randomized Controlled Trial, financed by the National Science Centre (grant number 2018/30/E/HS6/00703 Sonata Bis 8). The dataset contains demographic data, intervention data, psychophysiological data (SCL, salivary alpha amylase). For full access, please contact Principal Investigator, Professor Jarosław Michałowski ([email protected]), or Stanisław Karkosz ([email protected]). This work was produced in whole or in part by SWPS University researchers and is subject to the SWPS University Intellectual property policy. For the purpose of Open Access the author has applied a CC BY public copyright license to any Author Accepted Manuscript version arising from this submission. This research was funded in whole or in part by the National Science Centre (grant number 2018/30/E/HS6/00703 Sonata Bis 8. For the purpose of Open Access, the author has applied a CC-BY public copyright license to any Author Accepted Manuscript (AAM) version arising from this submission.
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