41 to 50 of 2,242 Results
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 |
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.
|
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... |
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. |
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. |
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. |
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. |
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. |
May 8, 2026
zhang, guoli, 2026, "Boosting Zinc-Ion Hybrid Capacitors with Mesoporous Carbon Derived from Highly Graphitized Carbon Quantum Dots", https://doi.org/10.18710/6FDKP9, DataverseNO, V1
This dataset contains electrochemical and structural characterization data that support the following publication: Zhang G., Li H., Wang K., Li G., Li K., Guan T., Wang K. Boosting Zinc-Ion Hybrid Capacitors with Mesoporous Carbon Derived from Highly Graphitized Carbon Quantum Dots. Energy & Environmental Materials, 2026. The dataset includes cycli... |
May 8, 2026 -
Boosting Zinc-Ion Hybrid Capacitors with Mesoporous Carbon Derived from Highly Graphitized Carbon Quantum Dots
Plain Text - 4.3 KB -
MD5: e243af90dbf6f172f58c8ff004a595b3
README file describing dataset structure, file organization, sample naming, and experimental details. |
