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2,211 to 2,220 of 2,247 Results
winpython_nlp_2713_CE-SDG_round2_0.txt
May 16, 2025 - Python code for a rule-based NLP model for mapping circular economy indicators to SDGs
Plain Text - 34.1 KB - MD5: 4c88d8345636389baa91f2355e23cbf9
winpython_nlp_2713_CE-SDG_round2_0.txt
Stepwise supplement: results of rule-based mappings, validations, and indices (CE–SDG Framework)
Jun 26, 2026
Barahmand Zahir, 2025, "Stepwise supplement: results of rule-based mappings, validations, and indices (CE–SDG Framework)", https://doi.org/10.23642/USN.28919984, DataverseNO, V2
DATASET MIGRATED FROM FIGSHARE: This supplementary file provides detailed results and documentation of the stepwise development, validation, and analysis process for the rule-based mapping of Circular Economy (CE) indicators to the Sustainable Development Goals (SDGs). It ensures full transparency, reproducibility, and traceability of the framework...
00_ReadMe.txt
Jun 26, 2026 - Stepwise supplement: results of rule-based mappings, validations, and indices (CE–SDG Framework)
Plain Text - 5.3 KB - MD5: 8d4c8100883399b1b18680acaa31df18
CSVs.zip
Jun 26, 2026 - Stepwise supplement: results of rule-based mappings, validations, and indices (CE–SDG Framework)
ZIP Archive - 221.7 KB - MD5: ae9a6baaf424de3271d3081f0396d080
Stepwise supplement results of rule-based mappings, validations, and indices.xlsx
Jun 26, 2026 - Stepwise supplement: results of rule-based mappings, validations, and indices (CE–SDG Framework)
MS Excel Spreadsheet - 539.1 KB - MD5: 89b80a130c4188f1d712249f22e0b7ea
Content_list.pdf
May 16, 2025 - Stepwise supplement: results of rule-based mappings, validations, and indices (CE–SDG Framework)
Adobe PDF - 39.3 KB - MD5: 94d3d8ebbe463b7813ec0be2f4528ac9
Content_list.pdf
Cover.pdf
May 16, 2025 - Stepwise supplement: results of rule-based mappings, validations, and indices (CE–SDG Framework)
Adobe PDF - 31.4 KB - MD5: fab9666ccfe4af7c92d879ed02283148
Cover.pdf
Supplement to: Leisure Time Patterns of Children with and without Disabilities: A Cross-Sectional Latent Class Analysis
Jun 26, 2026
Møller-Skau, Christian; Lorentzen, Catherine Anne Nicole; Moradi, Sharam; Bauger, Lars, 2026, "Supplement to: Leisure Time Patterns of Children with and without Disabilities: A Cross-Sectional Latent Class Analysis", https://doi.org/10.18710/BKXUWS, DataverseNO, V2
R script for analysis codes for the Latent Class Analysis and Multinomial Regression Analysis used in the article Leisure Time Patterns of Children with and without Disabilities: A Cross-Sectional Latent Class Analysis. Abstract from related publication Introduction: Leisure participation supports children's health, social inclusion, and well-being...
00_ReadMe.txt
Jun 26, 2026 - Supplement to: Leisure Time Patterns of Children with and without Disabilities: A Cross-Sectional Latent Class Analysis
Plain Text - 3.3 KB - MD5: 505f74a431ad7be0bad2eca7d06f2976
01_data_clean-1.R
Jun 26, 2026 - Supplement to: Leisure Time Patterns of Children with and without Disabilities: A Cross-Sectional Latent Class Analysis
R Syntax - 3.2 KB - MD5: d42abb6eea6dba685c8a6cea15187441
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