71 to 80 of 134,725 Results
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. |
Adobe PDF - 260.7 KB -
MD5: 4ab5af178fb856987332ed6e00469d0b
DPA |
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... |
Apr 7, 2026 -
Replication Data for: Long-term effects of clear-cutting on understory plant communities in boreal forests
Plain Text - 6.2 KB -
MD5: 02c0c548a76101acac27dfb828e8e810
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Apr 7, 2026 -
Replication Data for: Long-term effects of clear-cutting on understory plant communities in boreal forests
Comma Separated Values - 32.6 KB -
MD5: ce77f34daebd180990239431074100d1
Data of understory vegetation cover and environmental data |
Apr 7, 2026 - University of Oslo
de Bruin, Ege, 2026, "Replication Data for: Social Learning Strategies for Evolved Virtual Soft Robots", https://doi.org/10.18710/7BR3NZ, DataverseNO, V1
This dataset contains data for all experiments for the paper “Social Learning Strategies for Evolved Virtual Soft Robots”. Contains all relevant morphology- and controller data. Every experiment repetition contains files for Analysis and Replication/Continuation. See 00_README.md for a description of the files. Github repository to analyse or repli... |
Markdown Text - 3.2 KB -
MD5: 4b1622d656060f9e02114d24e0abd8d6
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ZIP Archive - 48.9 GB -
MD5: 661103dff367a315d5b5f669cdd8d2a2
Main data folder |
