University of South-Eastern Norway

URGE – Universal Readme Generator.

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51 to 60 of 2,247 Results

R scripts for: Social Belonging, Mattering and NEET Status: Understanding Loneliness in Emerging Adulthood in Norway Jun 1, 2026 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
02_analysis.R Jun 1, 2026 - R scripts for: Social Belonging, Mattering and NEET Status: Understanding Loneliness in Emerging Adulthood in Norway R Syntax - 26.5 KB - MD5: 3e0b30ffda825220a4381b6cb34b2a6a R script for all analyses, figures, and tables reported in the manuscript. Reads data/df_clean.Rda produced by 01_data_preparation.R. Writes regression and correlation output files to the results/ subfolder. Plot output (ggsave) calls are commented out and must be enabled manually.
Supplementary dataset and reproducible codes for LLM-assisted mapping feedstocks of eight conversion technologies from over 121,000 studies May 29, 2026 Barahmand, Zahir, 2026, "Supplementary dataset and reproducible codes for LLM-assisted mapping feedstocks of eight conversion technologies from over 121,000 studies", https://doi.org/10.18710/JM6U7B, DataverseNO, V2 This dataset was developed to systematically characterise feedstock–technology relationships across eight major biomass conversion technologies by mining a large Scopus-derived bibliographic corpus (1887–2025; partial coverage for 2025). The workflow is LLM-assisted and fully reproducible, combining automated extraction of feedstock and technology...
0_ReadMe.txt May 29, 2026 - Supplementary dataset and reproducible codes for LLM-assisted mapping feedstocks of eight conversion technologies from over 121,000 studies Plain Text - 21.2 KB - MD5: d44c4029e684e063091a7b56c176193e Detailed overview of the repository structure, file contents, workflow steps, reuse guidance, and notes on source traceability. The public release excludes Scopus-derived abstracts and raw Scopus export files.
Codes_Py1_Automated_data_extraction_llm.zip May 29, 2026 - Supplementary dataset and reproducible codes for LLM-assisted mapping feedstocks of eight conversion technologies from over 121,000 studies ZIP Archive - 12.4 MB - MD5: 1c95b307eca112047a61546f8fb2d4b4 Python scripts, configuration files, example inputs/outputs, and documentation for the LLM-assisted extraction of feedstock and technology descriptors from title and abstract fields.
Codes_Py2_Automated_extracted_data_cleaning.zip May 29, 2026 - Supplementary dataset and reproducible codes for LLM-assisted mapping feedstocks of eight conversion technologies from over 121,000 studies ZIP Archive - 14.6 MB - MD5: b2b0300a1411ec244409217c1d6f0f12 Python scripts and documentation for rule-based cleaning, heuristic scoring, and validation-status assignment of the extracted feedstock and technology descriptors.
Codes_Py3_Automated_validation_llm.zip May 29, 2026 - Supplementary dataset and reproducible codes for LLM-assisted mapping feedstocks of eight conversion technologies from over 121,000 studies ZIP Archive - 30.9 MB - MD5: 7f096b9d59fcae9952608d30ecd882dc Python scripts and documentation for targeted LLM-assisted validation of uncertain or non-accepted records after rule-based cleaning.
Review_DataExtraction_Validation_Curation_FinalDataset.zip May 29, 2026 - Supplementary dataset and reproducible codes for LLM-assisted mapping feedstocks of eight conversion technologies from over 121,000 studies ZIP Archive - 138.6 MB - MD5: fab016b2ffd7b55a91de062f0abca390 Processed and derived datasets from the extraction, cleaning, validation, and manual-curation workflow, including bibliographic source identifiers, intermediate outputs, and the final curated feedstock–technology descriptors. Scopus-derived abstracts and raw Scopus exports are not included.

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

Jun 1, 2026

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

02_analysis.R

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

R Syntax - 26.5 KB -

R script for all analyses, figures, and tables reported in the manuscript. Reads data/df_clean.Rda produced by 01_data_preparation.R. Writes regression and correlation output files to the results/ subfolder. Plot output (ggsave) calls are commented out and must be enabled manually.

Supplementary dataset and reproducible codes for LLM-assisted mapping feedstocks of eight conversion technologies from over 121,000 studies

May 29, 2026

Barahmand, Zahir, 2026, "Supplementary dataset and reproducible codes for LLM-assisted mapping feedstocks of eight conversion technologies from over 121,000 studies", https://doi.org/10.18710/JM6U7B, DataverseNO, V2

This dataset was developed to systematically characterise feedstock–technology relationships across eight major biomass conversion technologies by mining a large Scopus-derived bibliographic corpus (1887–2025; partial coverage for 2025). The workflow is LLM-assisted and fully reproducible, combining automated extraction of feedstock and technology...

0_ReadMe.txt

May 29, 2026 - Supplementary dataset and reproducible codes for LLM-assisted mapping feedstocks of eight conversion technologies from over 121,000 studies

Plain Text - 21.2 KB -

Detailed overview of the repository structure, file contents, workflow steps, reuse guidance, and notes on source traceability. The public release excludes Scopus-derived abstracts and raw Scopus export files.

Codes_Py1_Automated_data_extraction_llm.zip

May 29, 2026 - Supplementary dataset and reproducible codes for LLM-assisted mapping feedstocks of eight conversion technologies from over 121,000 studies

ZIP Archive - 12.4 MB -

Python scripts, configuration files, example inputs/outputs, and documentation for the LLM-assisted extraction of feedstock and technology descriptors from title and abstract fields.

Codes_Py2_Automated_extracted_data_cleaning.zip

May 29, 2026 - Supplementary dataset and reproducible codes for LLM-assisted mapping feedstocks of eight conversion technologies from over 121,000 studies

ZIP Archive - 14.6 MB -

Python scripts and documentation for rule-based cleaning, heuristic scoring, and validation-status assignment of the extracted feedstock and technology descriptors.

Codes_Py3_Automated_validation_llm.zip

May 29, 2026 - Supplementary dataset and reproducible codes for LLM-assisted mapping feedstocks of eight conversion technologies from over 121,000 studies

ZIP Archive - 30.9 MB -

Python scripts and documentation for targeted LLM-assisted validation of uncertain or non-accepted records after rule-based cleaning.

Review_DataExtraction_Validation_Curation_FinalDataset.zip

May 29, 2026 - Supplementary dataset and reproducible codes for LLM-assisted mapping feedstocks of eight conversion technologies from over 121,000 studies

ZIP Archive - 138.6 MB -

Processed and derived datasets from the extraction, cleaning, validation, and manual-curation workflow, including bibliographic source identifiers, intermediate outputs, and the final curated feedstock–technology descriptors. Scopus-derived abstracts and raw Scopus exports are not included.

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