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8,161 to 8,170 of 11,430 Results

Terms_of_reuse_MSIS.pdf Sep 30, 2020 - Covid-19 Municipal Level (Norway) Social Science Dataset Adobe PDF - 230.7 KB - MD5: 8be86b0d4fbba4f259c8eacb088bca39
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 Sep 30, 2020 - Covid-19 Municipal Level (Norway) Social Science Dataset Adobe PDF - 195.7 KB - MD5: 35ad1f5ed9fc6684f28180d85c745535
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 publications to identify the main research themes relating to the Arctic t...
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 methods. Here, we assessed the suitability of Near Infrared Reflectan...

Terms_of_reuse_MSIS.pdf

Sep 30, 2020 - Covid-19 Municipal Level (Norway) Social Science Dataset

Adobe PDF - 230.7 KB -

Terms_of_reuse_SSB.pdf

Sep 30, 2020 - Covid-19 Municipal Level (Norway) Social Science Dataset

Adobe PDF - 165.1 KB -

Terms_of_reuse_Torp.pdf

Sep 30, 2020 - Covid-19 Municipal Level (Norway) Social Science Dataset

Adobe PDF - 195.7 KB -

Terms_of_reuse_Valgdirektoratet.pdf

Sep 30, 2020 - Covid-19 Municipal Level (Norway) Social Science Dataset

Adobe PDF - 286.7 KB -

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 publications to identify the main research themes relating to the Arctic t...

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 -

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 -

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 -

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 -

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 methods. Here, we assessed the suitability of Near Infrared Reflectan...

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