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Plain Text - 916.3 KB - MD5: 3429e474b48bcf7e52d1cafc45d455f5
A txt file containing the complete data resulting from the experiment used to run 05_Analysis_Code.qmd (corresponding to EYESAL_EXP2_data_20250404.txt in the code; name should be changed accordingly in order to replicate the analysis). The file contains 10,045 rows including all participant target trials after data cleaning.
Plain Text - 3.6 KB - MD5: ff6777205ecdd01e4de88ea0da8106d0
A txt file containing participants' pretest scores used to run 05_Analysis_Code.qmd (corresponding to EYESAL_EXP2_PartScores_20250404.txt in the code; name should be changed accordingly in order to replicate the analysis).The file contains 126 rows, one per included participant.
Unknown - 137.8 KB - MD5: 20dbfa961ac0a3fac82959853b548766
An R markdown file containing the code used to conduct the analysis.
Adobe PDF - 10.7 MB - MD5: f716cdc4ba44757ecd232cd2e53254ec
A PDF rendering of our results from running the analysis using 05_Analysis_Code.
Plain Text - 6.8 KB - MD5: 4a6c03a5dabbe5fa16a120eda1923789
A txt file containing the Informed Consent and Debriefing documents provided to participants before and after (respectively) the study. Documents have been anonymized relative to how they were presented to participants.
Apr 7, 2026 - Norwegian University of Life Sciences (NMBU)
Asplund, K Ulrika Jansson; Karlsen, Damian; Brysting, Anne Krag; Halvorsen, Rune; Kauserud, Håvard; Kjønaas, O. Janne; Asplund, Johan, 2026, "Replication Data for: Long-term effects of clear-cutting on understory plant communities in boreal forests", https://doi.org/10.18710/DSN7TL, DataverseNO, V1
In this study we investigated the long-term effects of clear-cutting on vascular plants and bryophytes. Our study system consists oftwelve pairs of mesic spruce forests in southeastern Norway, with a previously clear-cut, but now mature stand and a near-natural forest within each pair. The near-natural forest sites had almost twice the cover of vas...
Comma Separated Values - 32.6 KB - MD5: ce77f34daebd180990239431074100d1
Data of understory vegetation cover and environmental data
Apr 7, 2026 - UiT The Arctic University of Norway
Pettersen, Jakob Peder, 2026, "Replication Data for: Petrisnake, an improved computational pipeline for bacterial single-cell RNA-seq", https://doi.org/10.18710/EGMHAC, DataverseNO, V1
In the paper Petrisnake, an improved computational pipeline for bacterial single-cell RNA-seq , two secondary analysis bioinformatic pipelines for data from the PETRI-seq protocol (Blattman et al. 2020) are compared and benchmarked. One of these pipelines is the original PETRI-seq pipeline (Blattman et al. 2020 and Blattman et al. 2024, available a...
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