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811 to 820 of 2,139 Results
winpython_nlp_2713_CE-SDG_round2_0.py
May 16, 2025 - Python code for a rule-based NLP model for mapping circular economy indicators to SDGs
Python Source Code - 34.1 KB - MD5: 4c88d8345636389baa91f2355e23cbf9
winpython_nlp_2713_CE-SDG_round2_0.py
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
Supplementary material: Detailed temporal analysis of CE–SDG mapping dynamics
May 16, 2025 - University of South-Eastern Norway
Barahmand Zahir, 2025, "Supplementary material: Detailed temporal analysis of CE–SDG mapping dynamics", https://doi.org/10.23642/USN.28920209, DataverseNO, V1
DATASET MIGRATED FROM FIGSHARE: This supplementary material provides detailed temporal data on the mapping of 2,700 circular economy (CE) indicators to the 17 Sustainable Development Goals (SDGs), covering the period 2011–2024. It includes year-by-year distributions for each SDG, identification of emergence years based on a defined threshold method...
Cover.pdf
May 16, 2025 - Supplementary material: Detailed temporal analysis of CE–SDG mapping dynamics
Adobe PDF - 31.4 KB - MD5: fab9666ccfe4af7c92d879ed02283148
Cover.pdf
Final_mapping_and_ year.xlsx.csv
May 16, 2025 - Supplementary material: Detailed temporal analysis of CE–SDG mapping dynamics
Comma Separated Values - 233.3 KB - MD5: 025ddbaa559a2780f67b963312580f64
Final_mapping_and_ year.xlsx.csv
ReadMe_file.txt
May 16, 2025 - Supplementary material: Detailed temporal analysis of CE–SDG mapping dynamics
Plain Text - 3.8 KB - MD5: 2441ccc22f7ee694e915c3fb29a1601c
ReadMe_file.txt
References.csv
May 16, 2025 - Supplementary material: Detailed temporal analysis of CE–SDG mapping dynamics
Comma Separated Values - 16.4 KB - MD5: 7fe3fdc5b204c73d57cd6d63fea2cc70
References.csv
Supplementary material for detailed temporal analysis of CE–SDG mapping dynamics.xlsx
May 16, 2025 - Supplementary material: Detailed temporal analysis of CE–SDG mapping dynamics
MS Excel Spreadsheet - 194.5 KB - MD5: aca863524e90cfbe6037247e5489830f
Supplementary material for detailed temporal analysis of CE–SDG mapping dynamics.xlsx
Temporal_analysis.csv
May 16, 2025 - Supplementary material: Detailed temporal analysis of CE–SDG mapping dynamics
Comma Separated Values - 2.1 KB - MD5: 5ae9aefe627b9794c9759dfc9cca7c62
Temporal_analysis.csv
Python code for a stratified random sampling of circular economy indicators
May 16, 2025 - University of South-Eastern Norway
Barahmand Zahir, 2025, "Python code for a stratified random sampling of circular economy indicators", https://doi.org/10.23642/USN.28920620, DataverseNO, V1
DATASET MIGRATED FROM FIGSHARE: This Python script performs stratified random sampling of 2,713 Circular Economy (CE) indicators based on their SDG classification for expert reviews. It ensures proportional representation by sampling approximately 5% of indicators from each SDG group while guaranteeing at least one sample per SDG when present. Thes...
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