11 to 20 of 147,579 Results
Oct 30, 2026 - Norwegian Institute of Bioeconomy Research (NIBIO)
Elshani, Narta; Steinshamn, Håvard; Adler, Steffen; Nilsson, Johan; Tidåker, Pernilla, 2026, "Background data for: Climate impact and land use of processing grass-clover biomass cultivated under different nitrogen fertilization rates in green biorefinery", https://doi.org/10.18710/F5Z8BR, DataverseNO, V1
The dataset contains the experimental records from grassland field experiments used to model the effects of nitrogen fertiliser rates and red clover seeding rates on dry matter and crude protein yield. The experiments were designed by the Norwegian Institute of Bioeconomy Research (then Bioforsk) and conducted in cooperation with Norsk Landbruksråd... |
Plain Text - 8.0 KB -
MD5: f9cb6d002ad1e2ee2879b62f9b19f073
Dataset description |
Comma Separated Values - 15.0 KB -
MD5: cf0fcea3eaa2bac973e4548795fa9bdc
Data of DM yield, herbage clover and crude protein content |
Comma Separated Values - 663 B -
MD5: 03e967afa0c584bd7f877adcadcd9d68
Geograpical locations and soil type description |
Oct 28, 2026 - University of Bergen
Hagen, Elise Marie Strand; Rizvi, Zahra; Rettberg, Jill Walker; Wong, Ka Hei; John, Dr. Jubi C; Bodor, Nicole Niké; Efimova, Vladlena; Witte, Jessica, 2026, "Metadata about AI-generated stories: expert, human annotation relating to conflict, character gender and profession", https://doi.org/10.18710/KQSFOT, DataverseNO, V2
This dataset contains 416 human annotations of AI-generated stories. Each row records a story identifier and observations about the story's protagonist, potential opponent, supporting character, and types of conflict, including violent, non-violent, and internal conflict. It also records whether the protagonist responds actively or passively to con... |
Oct 28, 2026 -
Metadata about AI-generated stories: expert, human annotation relating to conflict, character gender and profession
Plain Text - 13.3 KB -
MD5: c4a397c3cf3c2f7e52add6578b4576d8
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Oct 28, 2026 - University of Oslo
Fernández i Marín, Xavier; Arora, Prachee, 2026, "SUPA Dataset", https://doi.org/10.18710/SKUJEC, DataverseNO, V1
SUPA Dataset contains a harmonised, act-level corpus of legislation for France, Denmark, Spain, Germany, Norway, the Netherlands, and the European Union. The released corpus contains 374,541 observations covering the 2000 to 2025 observation period. Each observation represents one legal act. The dataset measures the flow of published or adopted leg... |
Oct 28, 2026 -
SUPA Dataset
HTML - 638.7 KB -
MD5: b4e61c9acd348055ee23029e2a5634a9
Readme HTML file |
Oct 28, 2026 -
SUPA Dataset
Adobe PDF - 29.9 KB -
MD5: 0ee3c95d8159c9719b8870a14e82da4f
Readme PDF file |
Oct 28, 2026 -
SUPA Dataset
Plain Text - 9.8 KB -
MD5: 560d6735055655b94addd7f0e5711585
Readme txt file |
