1 to 10 of 447 Results
Sep 22, 2026
Magee, Michael Joseph, 2026, "Supporting Data for: Nature connectedness through music and biodiversity observation", https://doi.org/10.60612/DATADK/MJHCUJ, DeiC Dataverse, V1
This study tested whether combining live improvised music with biodiversity-focused nature excursions could deepen nature connectedness (NC) in young people (n=82, ages 18–25) across three excursions in Denmark and one in Greece. NC was measured using a modified Inclusion of Nature in Self scale (INS). This data shows the results of the INS. How to... |
MS Excel Spreadsheet - 11.0 KB -
SHA256: 212ede697fb15d578a5014780946a25fc52ba7d575a093e263980101a3f5a4bf
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Adobe PDF - 17.7 MB -
SHA256: 66c811497013c8fa378e3c1a483bde919a0088f8c0add59fce42047407872466
Pictures of the participants survey answer sheet |
Adobe PDF - 76.9 MB -
SHA256: 305227bf37ccf4107f253510f1be9e1f83c51927d9351cb8cd063c6cfd349020
Pictures of the participants survey answer sheet |
Adobe PDF - 47.3 MB -
SHA256: 38ee2cb140e903484805596c618050070fcded92fa9b72287ff23ea5f1a7800e
Pictures of the participants survey answer sheet |
Adobe PDF - 619.6 MB -
SHA256: 696ca93232bf12077f82a714142433a05de56b7b96c4c479879aad39e34930a2
Pictures of survey answer sheets including notes from participants. Full names are redacted. |
Adobe PDF - 1.7 MB -
SHA256: 613b11a5e5dce6bd6fbe8bfd1d56a7c83df96781674cab915a22c8641f546486
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Sep 7, 2026
Amer, Nanna Ellen; Seierup, Stinus, 2026, "Supporting Data for: Antisemitic and Islamophobic Discourses in Online Far-Right Culture: A Computational Mixed Methods Analysis of 4chan/pol/", https://doi.org/10.60612/DATADK/Y6GR97, DeiC Dataverse, V3
This article investigates how antisemitism and Islamophobia are articulated and interrelated with-in contemporary far-right digital cultures through a computational mixed-methods approach. Drawing on a corpus of 397,998 posts collected from 4chan/pol/, the study applies computational grounded theory, combining topic modeling, word embeddings, seman... |
Comma Separated Values - 4.3 KB -
SHA256: 4663a0912ced29fa3a3210f7d63fffc9c6e99e844eb384891a9584af4f638e45
Output from the BERTopic model in step 1 in the computational mixed-methods research design |
Comma Separated Values - 677.2 KB -
SHA256: ab245c73e3ececf68a40ffff5e4c9745189b0e4b6c854c98569899edd65761d4
Labels for the manually annotated training set for step 3 in the computational mixed-methods research design |
