1,871 to 1,880 of 140,751 Results
Apr 15, 2026 -
Replication data for: Effects of irradiance and temperature on growth and yield in potato cv. Gullauge
Plain Text - 6.1 KB -
MD5: c1c4cbdc05bb063821840c8b6a1b35b9
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Apr 15, 2026 -
Replication data for: Effects of irradiance and temperature on growth and yield in potato cv. Gullauge
Plain Text - 2.7 KB -
MD5: 0f707573c0f2dc9602a160d4fadc4080
Data from 2020 experiment |
Apr 15, 2026 -
Replication data for: Effects of irradiance and temperature on growth and yield in potato cv. Gullauge
Plain Text - 3.5 KB -
MD5: a166e8b690ec18580617c6bb970fbf70
Data from 2021 experiment |
Apr 15, 2026 - Norwegian Institute of Bioeconomy Research (NIBIO)
Steffenrem, Arne, 2025, "Replication data for «Identifying optimal sets of individuals under a pairwise genomic relationship threshold for breeding and conservation»", https://doi.org/10.18710/NDORFA, DataverseNO, V2
This is the Norway spruce dataset used in our study to demonstrate a novel formulation to select an optimal subset of individuals under a strict maximum tolerable pairwise genomic relationship threshold. The dataset was obtained from a breeding population of Norway spruce (Picea abies) managed by the Norwegian Forest Seed Center. The material consi... |
Plain Text - 6.4 KB -
MD5: 262e729a8a1813149910b402b7276705
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Apr 14, 2026 - UiT The Arctic University of Norway
Samvel, Gor, 2026, "Background data for: In a Space of ‘Illegal Lawfulness': The Normative Order of Radical Environmental Movements and the Enforcement of International Environmental Law", https://doi.org/10.18710/LAOMLF, DataverseNO, V1
The dataset comprises various direct actions carried out by the transnational environmental organizations for the implementation of international environmental law. It includes 400 actions carried out by 7 transnational environmental organizations; Stichting Greenpeace Council ; Sea Shepherd; Eco Activists for Governance and Law Enforcement; Extinc... |
Plain Text - 18.1 KB -
MD5: b0486407810739bd1e645245fa0a6d2b
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MD5: 4c0e8362c2282d7e3af27956c9c44872
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MD5: 6d0b88dc7b96049e90c003e7e0b8e472
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MD5: ae8b88b511dd05c654b916afa7c02b33
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