UiT The Arctic University of Norway

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The Stein Rokkan Research Group for Quantitative Social and Political Science

Tromsø Geophysical Observatory

Arctic Language Technology

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7,921 to 7,930 of 11,186 Results

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...
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
Modeling_script.R Sep 29, 2020 - Replication Data for: Determination of plant silicon content with near infrared reflectance spectroscopy R Syntax - 1.8 KB - MD5: 1fc93c6725844273a7015fae0eca6211 Script to process the spectral data and obtain a partial least squares model to prdict Si in plants
Spectral_data.txt Sep 29, 2020 - Replication Data for: Determination of plant silicon content with near infrared reflectance spectroscopy Plain Text - 16.6 MB - MD5: 50db9c8d22d0c708ed157bb806b0e570 Spectral data obtained from scanning plant samples with a FieldSpec3 spectrometer
Replication data for: Adolescents’ experiences of the information they received about the coronavirus (Covid-19) in Norway: a cross-sectional study Aug 28, 2020 Kaiser, Sabine; Kyrrestad, Henriette; Martinussen, Monica, 2020, "Replication data for: Adolescents’ experiences of the information they received about the coronavirus (Covid-19) in Norway: a cross-sectional study", https://doi.org/10.18710/OSAYBD, DataverseNO, V1 This dataset contains answers from 377 adolescents from secondary high school (class 11, 12, and 13), who answered questions about how they experienced the information provided about the coronavirus and how the virus affected their everyday life in the period 2020-03-16 to 2020-05.05 in Norway.

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...

00_README.txt

Sep 29, 2020 - Replication Data for: Determination of plant silicon content with near infrared reflectance spectroscopy

Plain Text - 7.7 KB -

README file

Modeling_script.R

Sep 29, 2020 - Replication Data for: Determination of plant silicon content with near infrared reflectance spectroscopy

R Syntax - 1.8 KB -

Script to process the spectral data and obtain a partial least squares model to prdict Si in plants

Spectral_data.txt

Sep 29, 2020 - Replication Data for: Determination of plant silicon content with near infrared reflectance spectroscopy

Plain Text - 16.6 MB -

Spectral data obtained from scanning plant samples with a FieldSpec3 spectrometer

Replication data for: Adolescents’ experiences of the information they received about the coronavirus (Covid-19) in Norway: a cross-sectional study

Aug 28, 2020

Kaiser, Sabine; Kyrrestad, Henriette; Martinussen, Monica, 2020, "Replication data for: Adolescents’ experiences of the information they received about the coronavirus (Covid-19) in Norway: a cross-sectional study", https://doi.org/10.18710/OSAYBD, DataverseNO, V1

This dataset contains answers from 377 adolescents from secondary high school (class 11, 12, and 13), who answered questions about how they experienced the information provided about the coronavirus and how the virus affected their everyday life in the period 2020-03-16 to 2020-05.05 in Norway.

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