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May 16, 2025 -
Python code for a rule-based NLP model for mapping circular economy indicators to SDGs
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ReadMe file.txt |
May 16, 2025 -
Python code for a rule-based NLP model for mapping circular economy indicators to SDGs
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MD5: 27fc315139cbc9115409fe813029f40a
Sample_input_CE_indicator_list_input_2713_round_2.csv |
May 16, 2025 -
Python code for a rule-based NLP model for mapping circular economy indicators to SDGs
Comma Separated Values - 211.7 KB -
MD5: b2fae43bd2746523237890e85775410f
sample_output_classified_indicators.csv |
May 16, 2025 -
Python code for a rule-based NLP model for mapping circular economy indicators to SDGs
Adobe PDF - 132.2 KB -
MD5: 244635960f5adfc3c446e928f4c3cad3
User_manual.pdf |
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 |
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 |
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... |
Adobe PDF - 31.4 KB -
MD5: fab9666ccfe4af7c92d879ed02283148
Cover.pdf |
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MD5: 025ddbaa559a2780f67b963312580f64
Final_mapping_and_ year.xlsx.csv |
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MD5: 2441ccc22f7ee694e915c3fb29a1601c
ReadMe_file.txt |
