University of Inland Norway

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21 to 30 of 838 Results

02_CensorshipEndorsement-Data-2025-02-23.dat Feb 27, 2025 - Replication Data for: Unpacking drivers of online censorship endorsement: Psychological and demographic factors Fixed Field Text Data - 34.1 KB - MD5: e65cc62ff8c1d0c95f9e44e83281ef11 The raw data, SPSS file, .dat (open format)
Replication Data for: Sleep problems were unrelated to social media use in the late COVID-19 pandemic phase: A cross-national study Jan 16, 2025 Bonsaksen, Tore; Price, Daicia; Lamph, Gary; Kabelenga, Isaac; Geirdal, Amy Østertun, 2025, "Replication Data for: Sleep problems were unrelated to social media use in the late COVID-19 pandemic phase: A cross-national study", https://doi.org/10.18710/B69ATB, DataverseNO, V1 The purpose of the dataset is to enable the replication of results as reported in the article: Bonsaksen, T., Price, D., Lamph, G., Kabelenga, I., & Geirdal, A. Ø. (2025). Sleep problems were unrelated to social media use in the late COVID-19 pandemic phase: A cross-national study. PLOS ONE 20(1): e0318507. https://doi.org/10.1371/journal.pone.0318...
ReadMe.txt Jan 16, 2025 - Replication Data for: Sleep problems were unrelated to social media use in the late COVID-19 pandemic phase: A cross-national study Plain Text - 5.2 KB - MD5: 64db1418a59dddc84ed9a29487269fc7 Information about and instructions for using the dataset
Sleep_problems.dat Jan 16, 2025 - Replication Data for: Sleep problems were unrelated to social media use in the late COVID-19 pandemic phase: A cross-national study Fixed Field Text Data - 94.9 KB - MD5: b74075798e5a559df86836720ae29330 Data on sleep problems and its associated factors in the late phase of COVID-19
Replication Data for: Quantifying large carnivore predation relative to human harvest on moose in an intensively managed boreal ecosystem Jan 6, 2025 Zimmermann, Barbara, 2025, "Replication Data for: Quantifying large carnivore predation relative to human harvest on moose in an intensively managed boreal ecosystem", https://doi.org/10.18710/UWXPHW, DataverseNO, V1 This dataset contains the data and the code used to calculate moose density inside wolf territories and relates to the article entitled "Quantifying large carnivore predation on moose relative to human harvest in an intensively managed boreal ecosystem" and published in Ecological Applications in 2025.
00_README.txt Jan 6, 2025 - Replication Data for: Quantifying large carnivore predation relative to human harvest on moose in an intensively managed boreal ecosystem Plain Text - 6.5 KB - MD5: cd6176671ae3abd0067496905bd50132 Readme-file containing a description of the data files and code.
Code_Suppl2_Moose_Start.pdf Jan 6, 2025 - Replication Data for: Quantifying large carnivore predation relative to human harvest on moose in an intensively managed boreal ecosystem Adobe PDF - 559.2 KB - MD5: 2a50a3f310d4d22f090db19dbd348e0b Supplement 2 of related publication, including R-code to estimate moose abundance in wolf territories at start of study year.
Input_1_moose_start.csv Jan 6, 2025 - Replication Data for: Quantifying large carnivore predation relative to human harvest on moose in an intensively managed boreal ecosystem Comma Separated Values - 1.6 KB - MD5: c9ec9e2fe71123652c875536f95177b1 Input data nr 1 used to estimate moose abundance in wolf territories
Input_2_moose_start.csv Jan 6, 2025 - Replication Data for: Quantifying large carnivore predation relative to human harvest on moose in an intensively managed boreal ecosystem Comma Separated Values - 593 B - MD5: ef0d0cd871be3cb579aae280d2dde982 Input data nr 2 used to estimate moose abundance in wolf territories
Replication Data for: Consumer drivers for intended adoption of recycled wood as construction material Dec 12, 2024 Khatri, Shumaila; Sjølie, Hanne K.; Nyrud, Anders Q., 2024, "Replication Data for: Consumer drivers for intended adoption of recycled wood as construction material", https://doi.org/10.18710/BE5TXF, DataverseNO, V1 The data collection was conducted to find determinants that affect adoption of recycled wood in Norway. The data was collected during 15th Dec 2023 to 5th Jan 2024 by Norstat AS via online surveys. The two datasets represent cabin-owners (count = 446) and house-owners (count = 467). All thirteen questionnaire items were marked on a Likert scale ran...

02_CensorshipEndorsement-Data-2025-02-23.dat

Feb 27, 2025 - Replication Data for: Unpacking drivers of online censorship endorsement: Psychological and demographic factors

Fixed Field Text Data - 34.1 KB -

The raw data, SPSS file, .dat (open format)

Replication Data for: Sleep problems were unrelated to social media use in the late COVID-19 pandemic phase: A cross-national study

Jan 16, 2025

Bonsaksen, Tore; Price, Daicia; Lamph, Gary; Kabelenga, Isaac; Geirdal, Amy Østertun, 2025, "Replication Data for: Sleep problems were unrelated to social media use in the late COVID-19 pandemic phase: A cross-national study", https://doi.org/10.18710/B69ATB, DataverseNO, V1

The purpose of the dataset is to enable the replication of results as reported in the article: Bonsaksen, T., Price, D., Lamph, G., Kabelenga, I., & Geirdal, A. Ø. (2025). Sleep problems were unrelated to social media use in the late COVID-19 pandemic phase: A cross-national study. PLOS ONE 20(1): e0318507. https://doi.org/10.1371/journal.pone.0318...

ReadMe.txt

Jan 16, 2025 - Replication Data for: Sleep problems were unrelated to social media use in the late COVID-19 pandemic phase: A cross-national study

Plain Text - 5.2 KB -

Information about and instructions for using the dataset

Sleep_problems.dat

Jan 16, 2025 - Replication Data for: Sleep problems were unrelated to social media use in the late COVID-19 pandemic phase: A cross-national study

Fixed Field Text Data - 94.9 KB -

Data on sleep problems and its associated factors in the late phase of COVID-19

Replication Data for: Quantifying large carnivore predation relative to human harvest on moose in an intensively managed boreal ecosystem

Jan 6, 2025

Zimmermann, Barbara, 2025, "Replication Data for: Quantifying large carnivore predation relative to human harvest on moose in an intensively managed boreal ecosystem", https://doi.org/10.18710/UWXPHW, DataverseNO, V1

This dataset contains the data and the code used to calculate moose density inside wolf territories and relates to the article entitled "Quantifying large carnivore predation on moose relative to human harvest in an intensively managed boreal ecosystem" and published in Ecological Applications in 2025.

00_README.txt

Jan 6, 2025 - Replication Data for: Quantifying large carnivore predation relative to human harvest on moose in an intensively managed boreal ecosystem

Plain Text - 6.5 KB -

Readme-file containing a description of the data files and code.

Code_Suppl2_Moose_Start.pdf

Jan 6, 2025 - Replication Data for: Quantifying large carnivore predation relative to human harvest on moose in an intensively managed boreal ecosystem

Adobe PDF - 559.2 KB -

Supplement 2 of related publication, including R-code to estimate moose abundance in wolf territories at start of study year.

Input_1_moose_start.csv

Jan 6, 2025 - Replication Data for: Quantifying large carnivore predation relative to human harvest on moose in an intensively managed boreal ecosystem

Comma Separated Values - 1.6 KB -

Input data nr 1 used to estimate moose abundance in wolf territories

Input_2_moose_start.csv

Jan 6, 2025 - Replication Data for: Quantifying large carnivore predation relative to human harvest on moose in an intensively managed boreal ecosystem

Comma Separated Values - 593 B -

Input data nr 2 used to estimate moose abundance in wolf territories

Replication Data for: Consumer drivers for intended adoption of recycled wood as construction material

Dec 12, 2024

Khatri, Shumaila; Sjølie, Hanne K.; Nyrud, Anders Q., 2024, "Replication Data for: Consumer drivers for intended adoption of recycled wood as construction material", https://doi.org/10.18710/BE5TXF, DataverseNO, V1

The data collection was conducted to find determinants that affect adoption of recycled wood in Norway. The data was collected during 15th Dec 2023 to 5th Jan 2024 by Norstat AS via online surveys. The two datasets represent cabin-owners (count = 446) and house-owners (count = 467). All thirteen questionnaire items were marked on a Likert scale ran...

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