University of Inland Norway

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811 to 820 of 1,076 Results

02_ClipExpVacMyr_20260601_R-script.txt Jun 26, 2026 - Replication Data for: Morphological traits in bilberry (Vaccinium myrtillus) in different habitats in southeastern Norway and responses to simulated herbivory Plain Text - 330.4 KB - MD5: c9ef0e62b44b8f53440565daff92159f The same file as 01 but here in plain text format.
03_ClipExpVacMyr_20260305_Alldata.csv Jun 26, 2026 - Replication Data for: Morphological traits in bilberry (Vaccinium myrtillus) in different habitats in southeastern Norway and responses to simulated herbivory Comma Separated Values - 201.6 KB - MD5: d4a755f1b6ea2c44789e329bcce88d20 The data file with data in csv-format, which is used in the R-script (the file: 01_ClipExpVacmyr_20260601_R-script.R).
00_Readme.txt Feb 27, 2025 - Replication Data for: Unpacking drivers of online censorship endorsement: Psychological and demographic factors Plain Text - 7.9 KB - MD5: c08a78ffa79d2400766ca97d92b26469 The raw data, SPSS file, .sav (user-friendly format)
01_CensorshipEndorsement-Data-2025-02-23.sav Feb 27, 2025 - Replication Data for: Unpacking drivers of online censorship endorsement: Psychological and demographic factors SPSS Binary - 21.8 KB - MD5: 7f29f5ff53ed64b5b34f6ee90454054d Readme file, including variables and their associated labels in the SPSS files
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)
00_README.txt Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Plain Text - 5.3 KB - MD5: 45b711f581c7c1255906694020427d97
clean_dataset_10.RDS Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Unknown - 7.0 MB - MD5: 8d368977ffab6609cda740b7f6dcf170 This file contains filtered simulated counts after removal of low-expression targets in a specific generated data set. The data is used to estimate model parameters.
clean_dataset_10.RDS Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Unknown - 6.4 MB - MD5: 63734ab0085d277fdbbfcb8437bcd07c This file contains filtered simulated counts after removal of low-expression targets in a specific generated data set. The data is used to estimate model parameters.
clean_dataset_1.RDS Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Unknown - 7.0 MB - MD5: e5933eff14a488d7d2ce98c459bd8ea4 This file contains filtered simulated counts after removal of low-expression targets in a specific generated data set. The data is used to estimate model parameters.
clean_dataset_1.RDS Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Unknown - 6.4 MB - MD5: e45c11e9d5e24ec473ae9ea4945008df This file contains filtered simulated counts after removal of low-expression targets in a specific generated data set. The data is used to estimate model parameters.

02_ClipExpVacMyr_20260601_R-script.txt

Jun 26, 2026 - Replication Data for: Morphological traits in bilberry (Vaccinium myrtillus) in different habitats in southeastern Norway and responses to simulated herbivory

Plain Text - 330.4 KB -

The same file as 01 but here in plain text format.

03_ClipExpVacMyr_20260305_Alldata.csv

Jun 26, 2026 - Replication Data for: Morphological traits in bilberry (Vaccinium myrtillus) in different habitats in southeastern Norway and responses to simulated herbivory

Comma Separated Values - 201.6 KB -

The data file with data in csv-format, which is used in the R-script (the file: 01_ClipExpVacmyr_20260601_R-script.R).

00_Readme.txt

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

Plain Text - 7.9 KB -

The raw data, SPSS file, .sav (user-friendly format)

01_CensorshipEndorsement-Data-2025-02-23.sav

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

SPSS Binary - 21.8 KB -

Readme file, including variables and their associated labels in the SPSS files

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)

00_README.txt

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

Plain Text - 5.3 KB -

clean_dataset_10.RDS

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

Unknown - 7.0 MB -

This file contains filtered simulated counts after removal of low-expression targets in a specific generated data set. The data is used to estimate model parameters.

clean_dataset_10.RDS

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

Unknown - 6.4 MB -

This file contains filtered simulated counts after removal of low-expression targets in a specific generated data set. The data is used to estimate model parameters.

clean_dataset_1.RDS

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

Unknown - 7.0 MB -

This file contains filtered simulated counts after removal of low-expression targets in a specific generated data set. The data is used to estimate model parameters.

clean_dataset_1.RDS

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

Unknown - 6.4 MB -

This file contains filtered simulated counts after removal of low-expression targets in a specific generated data set. The data is used to estimate model parameters.

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