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7,811 to 7,820 of 11,083 Results
Terms_of_reuse_SSB.pdf
Terms_of_reuse_SSB.pdf
Sep 30, 2020 - Covid-19 Municipal Level (Norway) Social Science Dataset
Adobe PDF - 165.1 KB - MD5: fbe045041c9e8e852aabdf716d6b4fc2
Terms_of_reuse_Torp.pdf
Terms_of_reuse_Torp.pdf
Sep 30, 2020 - Covid-19 Municipal Level (Norway) Social Science Dataset
Adobe PDF - 195.7 KB - MD5: 35ad1f5ed9fc6684f28180d85c745535
Terms_of_reuse_Valgdirektoratet.pdf
Terms_of_reuse_Valgdirektoratet.pdf
Sep 30, 2020 - Covid-19 Municipal Level (Norway) Social Science Dataset
Adobe PDF - 286.7 KB - MD5: 6b2d18761225d71f116c3cdb1dafe685
Replication Data for: Research gaps and trends in the Arctic tundra: a topic modeling approach
Sep 29, 2020
Ancin-Murguzur, Francisco Javier; Hausner, Vera Helene, 2020, "Replication Data for: Research gaps and trends in the Arctic tundra: a topic modeling approach", https://doi.org/10.18710/WBKY7Q, DataverseNO, V1
Climate change is affecting the biodiversity, ecosystem services and the well-being of people that live in the Arctic tundra. Understanding the societal implications and adapting to these changes depend on knowledge produced by multiple disciplines. We analysed peer-reviewed publ...
00_README.txt
Sep 29, 2020 - Replication Data for: Research gaps and trends in the Arctic tundra: a topic modeling approach
Plain Text - 5.8 KB - MD5: 8d23c42ffad976dc9ac4c9b5b60973df
README file
Bibliographic_dataset.txt
Sep 29, 2020 - Replication Data for: Research gaps and trends in the Arctic tundra: a topic modeling approach
Plain Text - 9.4 MB - MD5: 3908da1e895a1a6660e37024d139f463
Dataset containing the titles and abstracts retrieved from the Scopus search
Processed_topic_database.txt
Sep 29, 2020 - Replication Data for: Research gaps and trends in the Arctic tundra: a topic modeling approach
Plain Text - 9.3 KB - MD5: a4affc67f48860d7fac0b790d3840e02
Processed topic modeling database
Topic_script.R
Sep 29, 2020 - Replication Data for: Research gaps and trends in the Arctic tundra: a topic modeling approach
R Syntax - 8.6 KB - MD5: 65f51b8c6d9408ba6e34131888579039
Script to perform topic modeling in R
Replication Data for: Determination of plant silicon content with near infrared reflectance spectroscopy
Sep 29, 2020
Bråthen, Kari Anne; Ancin-Murguzur, Francisco Javier, 2019, "Replication Data for: Determination of plant silicon content with near infrared reflectance spectroscopy", https://doi.org/10.18710/4PZFHQ, DataverseNO, V2, UNF:6:PvRUDKMp2Uh3Ynd+ef3knw== [fileUNF]
Silicon (Si) is one of the most common elements in the earth bedrock, and its continental cycle is strongly biologically controlled. Yet, research on the biogeochemical cycle of Si in ecosystems is hampered by the time and cost associated with the currently used chemical analysis...
00_README.txt
Sep 29, 2020 - Replication Data for: Determination of plant silicon content with near infrared reflectance spectroscopy
Plain Text - 7.7 KB - MD5: 789981d31f24cda582e7c390b92d4e34
README file
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