University of Inland Norway

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261 to 270 of 1,119 Results

dataset_5.RDS Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Unknown - 19.8 MB - MD5: 69dd4cfe65c5d2fa0e7a592f4d0a4109 This file contains raw simulated counts before the removal of low-expression targets in a specific generated data set. The data is filtered before estimating model parameters.
dataset_6.RDS Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Unknown - 19.7 MB - MD5: 9e582cb869f4ea891ffe241ba9726ff1 This file contains raw simulated counts before the removal of low-expression targets in a specific generated data set. The data is filtered before estimating model parameters.
dataset_7.RDS Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Unknown - 19.8 MB - MD5: cc1b93ea8599d80b8015bd7e1c4d9a52 This file contains raw simulated counts before the removal of low-expression targets in a specific generated data set. The data is filtered before estimating model parameters.
dataset_8.RDS Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Unknown - 19.7 MB - MD5: 7fdf62082d87430b094f886c58514a99 This file contains raw simulated counts before the removal of low-expression targets in a specific generated data set. The data is filtered before estimating model parameters.
dataset_9.RDS Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Unknown - 19.7 MB - MD5: 2b1273a257137621f2f10ab53fde7c4e This file contains raw simulated counts before the removal of low-expression targets in a specific generated data set. The data is filtered before estimating model parameters.
Replication Data for: Finding common ground in commercial forests: sheep grazing, timber production, and carnivore fences Feb 25, 2026 Malick-Wahls, Sarah Lou; Devineau, Olivier; Tofastrud, Morten; Zimmermann, Barbara, 2026, "Replication Data for: Finding common ground in commercial forests: sheep grazing, timber production, and carnivore fences", https://doi.org/10.18710/BZ2AWR, DataverseNO, V1 This dataset was created to support the article titled "Finding common ground in commercial forests: sheep grazing, timber production, and carnivore fences". We sampled clearcuts of regenerating spruce 29 July - 29 August 2024 in Inland and Trøndelag counties, Norway. Sheep grazing has the potential for positive impacts on commercial forestry throu...
00_README.txt Feb 25, 2026 - Replication Data for: Finding common ground in commercial forests: sheep grazing, timber production, and carnivore fences Plain Text - 6.7 KB - MD5: dbab1c61c960eff70699ec68702dbf32
forest_sheep_Malick.csv Feb 25, 2026 - Replication Data for: Finding common ground in commercial forests: sheep grazing, timber production, and carnivore fences Comma Separated Values - 97.2 KB - MD5: 5caf0741921fb24f2917b5c9f273e1ef
Replication Data for: Municipalities as buyers of reclaimed building material: Previous experience and future outlook Jan 6, 2026 Khatri, Shumaila; Sjølie, Hanne K.; Nyrud, Anders Q., 2026, "Replication Data for: Municipalities as buyers of reclaimed building material: Previous experience and future outlook", https://doi.org/10.18710/0OHXF7, DataverseNO, V1 Data was collected from 104 municipalities in Norway via phone interviews administered by Norstat AS. The data collection period was 19th August till 5th September 2024. The study aims to investigate factors that would convince public buyers to incorporate recycled construction materials in their tender process. For this purpose, municipal represen...
00_README.txt Jan 6, 2026 - Replication Data for: Municipalities as buyers of reclaimed building material: Previous experience and future outlook Plain Text - 7.1 KB - MD5: 8e931d3e10f07481cd3161c659acd868 README file for Municipality_dataset.csv

dataset_5.RDS

Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data

Unknown - 19.8 MB -