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License: CC0 1.0

31 to 40 of 135,352 Results

beaver2_csv.csv Jun 8, 2026 - R scripts and data for "Surf's up; summer peak flows reduce offspring survival in a semi-aquatic species, the Eurasian beaver" 2026 Comma Separated Values - 56.4 KB - MD5: 70ee7980cda662799886d584f4738526
Flood script april 2026.R Jun 8, 2026 - R scripts and data for "Surf's up; summer peak flows reduce offspring survival in a semi-aquatic species, the Eurasian beaver" 2026 R Syntax - 68.5 KB - MD5: 14fd0a7bd8471b1e8e1f3ffa22addb6b script containing all analyses
o_ReadMe.txt Jun 8, 2026 - R scripts and data for "Surf's up; summer peak flows reduce offspring survival in a semi-aquatic species, the Eurasian beaver" 2026 Plain Text - 1.4 KB - MD5: 52652e2a71c68bb9537b7ec8bc73476f
Replication Data for: Modeling monophthongal versus diphthongal /aɪ/ in sung vocal performance with interpretable machine learning Jun 3, 2026 - TROLLing De Timmerman, Romeo; Verbeke, Gil, 2026, "Replication Data for: Modeling monophthongal versus diphthongal /aɪ/ in sung vocal performance with interpretable machine learning", https://doi.org/10.18710/RDU8M2, DataverseNO, V1 Dataset description This dataset contains replication data for the study "Modeling monophthongal versus diphthongal /aɪ/ in sung vocal performance with interpretable machine learning" (De Timmerman & Verbeke, 2026). The study investigates how binary perceptual annotations of monophthongal versus diphthongal /aɪ/ relate to measurable acoustic variat...
00_README.txt Jun 3, 2026 - Replication Data for: Modeling monophthongal versus diphthongal /aɪ/ in sung vocal performance with interpretable machine learning Plain Text - 15.1 KB - MD5: 2d15149d3af5d14653033961ed323449 File documenting the dataset and the contents of each data file.
formant_features.csv Jun 3, 2026 - Replication Data for: Modeling monophthongal versus diphthongal /aɪ/ in sung vocal performance with interpretable machine learning Comma Separated Values - 557.1 KB - MD5: ebd7f2e6d1c474b35a25ee7f6dad7cf4 File containing engineered acoustic features for the same 1,004 /aɪ/ tokens (1,004 rows, 39 columns). Each row is a single vowel token, identified by vowel_id, with its perceptual label, vowel duration, a set of trajectory-based acoustic features derived from the F1 and F2 formants, and two phonological context variables. This file was used to trai...
formant_measurements.csv Jun 3, 2026 - Replication Data for: Modeling monophthongal versus diphthongal /aɪ/ in sung vocal performance with interpretable machine learning Comma Separated Values - 3.3 MB - MD5: ae940a2782c26ef7da541babf31ef514 File containing raw, time-aligned F1 and F2 formant trajectories for the 1,004 /aɪ/ tokens (1,004 rows, 204 columns). Each row is a single vowel token, identified by vowel_id, with its perceptual label, vowel duration, and the F1 and F2 formant values interpolated to 100 equidistant timepoints across the vowel's duration. This file was used to trai...
R scripts for: Social Belonging, Mattering and NEET Status: Understanding Loneliness in Emerging Adulthood in Norway Jun 1, 2026 - University of South-Eastern Norway Bauger, Lars, 2026, "R scripts for: Social Belonging, Mattering and NEET Status: Understanding Loneliness in Emerging Adulthood in Norway", https://doi.org/10.18710/JXSM22, DataverseNO, V1 This dataset contains two R scripts used for data preparation and statistical analysis in the study "Social Belonging, Mattering and NEET Status: Understanding Loneliness in Emerging Adulthood in Norway" (Bauger, in press). The scripts reproduce all descriptive statistics, LOESS figures, correlation matrices, and regression models reported in the m...
00_README.txt Jun 1, 2026 - R scripts for: Social Belonging, Mattering and NEET Status: Understanding Loneliness in Emerging Adulthood in Norway Plain Text - 16.0 KB - MD5: b2977b3a9169ab258f607048ca1fcbb8 documentation file
01_data_preparation.R Jun 1, 2026 - R scripts for: Social Belonging, Mattering and NEET Status: Understanding Loneliness in Emerging Adulthood in Norway R Syntax - 9.9 KB - MD5: e25fd5f4b1e945bd39ca8766e7c6d4c0 R script for data cleaning and construction of composite scale scores. Must be run before 02_analysis.R. Reads fhus_vtfk.sav (not included) and writes data/df_clean.Rda

beaver2_csv.csv

Jun 8, 2026 - R scripts and data for "Surf's up; summer peak flows reduce offspring survival in a semi-aquatic species, the Eurasian beaver" 2026

Comma Separated Values - 56.4 KB -

Flood script april 2026.R

Jun 8, 2026 - R scripts and data for "Surf's up; summer peak flows reduce offspring survival in a semi-aquatic species, the Eurasian beaver" 2026

R Syntax - 68.5 KB -

script containing all analyses

o_ReadMe.txt

Jun 8, 2026 - R scripts and data for "Surf's up; summer peak flows reduce offspring survival in a semi-aquatic species, the Eurasian beaver" 2026

Plain Text - 1.4 KB -

Replication Data for: Modeling monophthongal versus diphthongal /aɪ/ in sung vocal performance with interpretable machine learning

Jun 3, 2026 - TROLLing

De Timmerman, Romeo; Verbeke, Gil, 2026, "Replication Data for: Modeling monophthongal versus diphthongal /aɪ/ in sung vocal performance with interpretable machine learning", https://doi.org/10.18710/RDU8M2, DataverseNO, V1

Dataset description This dataset contains replication data for the study "Modeling monophthongal versus diphthongal /aɪ/ in sung vocal performance with interpretable machine learning" (De Timmerman & Verbeke, 2026). The study investigates how binary perceptual annotations of monophthongal versus diphthongal /aɪ/ relate to measurable acoustic variat...

00_README.txt

Jun 3, 2026 - Replication Data for: Modeling monophthongal versus diphthongal /aɪ/ in sung vocal performance with interpretable machine learning

Plain Text - 15.1 KB -

File documenting the dataset and the contents of each data file.

formant_features.csv

Jun 3, 2026 - Replication Data for: Modeling monophthongal versus diphthongal /aɪ/ in sung vocal performance with interpretable machine learning

Comma Separated Values - 557.1 KB -

File containing engineered acoustic features for the same 1,004 /aɪ/ tokens (1,004 rows, 39 columns). Each row is a single vowel token, identified by vowel_id, with its perceptual label, vowel duration, a set of trajectory-based acoustic features derived from the F1 and F2 formants, and two phonological context variables. This file was used to trai...

formant_measurements.csv

Jun 3, 2026 - Replication Data for: Modeling monophthongal versus diphthongal /aɪ/ in sung vocal performance with interpretable machine learning

Comma Separated Values - 3.3 MB -

File containing raw, time-aligned F1 and F2 formant trajectories for the 1,004 /aɪ/ tokens (1,004 rows, 204 columns). Each row is a single vowel token, identified by vowel_id, with its perceptual label, vowel duration, and the F1 and F2 formant values interpolated to 100 equidistant timepoints across the vowel's duration. This file was used to trai...

R scripts for: Social Belonging, Mattering and NEET Status: Understanding Loneliness in Emerging Adulthood in Norway

Jun 1, 2026 - University of South-Eastern Norway

Bauger, Lars, 2026, "R scripts for: Social Belonging, Mattering and NEET Status: Understanding Loneliness in Emerging Adulthood in Norway", https://doi.org/10.18710/JXSM22, DataverseNO, V1

This dataset contains two R scripts used for data preparation and statistical analysis in the study "Social Belonging, Mattering and NEET Status: Understanding Loneliness in Emerging Adulthood in Norway" (Bauger, in press). The scripts reproduce all descriptive statistics, LOESS figures, correlation matrices, and regression models reported in the m...

00_README.txt

Jun 1, 2026 - R scripts for: Social Belonging, Mattering and NEET Status: Understanding Loneliness in Emerging Adulthood in Norway

Plain Text - 16.0 KB -

documentation file

01_data_preparation.R

Jun 1, 2026 - R scripts for: Social Belonging, Mattering and NEET Status: Understanding Loneliness in Emerging Adulthood in Norway

R Syntax - 9.9 KB -

R script for data cleaning and construction of composite scale scores. Must be run before 02_analysis.R. Reads fhus_vtfk.sav (not included) and writes data/df_clean.Rda

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