University of South-Eastern Norway

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2,201 to 2,210 of 2,247 Results

00_ReadMe.txt Jul 29, 2026 - Supplementary data and calculation workbooks for: Feedstock Circularity Interest: A diagnostic classification lens for biomass- and waste-to-X technology comparison Plain Text - 7.3 KB - MD5: d55210f7aacbb2edd98d5834c551fc13
01_ESI_tier_distributions_and_base_ESI_subindices.zip Jun 30, 2026 - Supplementary data and calculation workbooks for: Feedstock Circularity Interest: A diagnostic classification lens for biomass- and waste-to-X technology comparison ZIP Archive - 25.8 KB - MD5: 747f69fcd753e6239b8e44c828480809 Contains the main article-specific calculation workbook and CSV exports for the tier-distribution profiles and ESI-derived descriptive indicators reported in the manuscript. It also includes the base comparison across the eight-technology core corpus.
02_ESI_Feedstock_Sensitivity.zip Jun 30, 2026 - Supplementary data and calculation workbooks for: Feedstock Circularity Interest: A diagnostic classification lens for biomass- and waste-to-X technology comparison ZIP Archive - 67.0 KB - MD5: 346ed20917a9604d509f92ab537bf1fb Contains the sensitivity-analysis workbooks and CSV exports used to test key coding and interpretation choices, including the T1–T2 coding swap, HVPR versus UTC comparison, exclusion of unresolved T1b cases, and gasification corpus-design comparison.
Python code for a rule-based NLP model for mapping circular economy indicators to SDGs Jun 26, 2026 Barahmand Zahir, 2025, "Python code for a rule-based NLP model for mapping circular economy indicators to SDGs", https://doi.org/10.23642/USN.28920527, DataverseNO, V2 DATASET MIGRATED FROM FIGSHARE: The supplementary materials provide detailed support for the rule-based NLP model for classifying Circular Economy (CE) indicators against the Sustainable Development Goals (SDGs). The package includes: The complete Python codebase implementing the classification algorithm A detailed manual outlining model features,...
00_ReadMe file.txt Jun 26, 2026 - Python code for a rule-based NLP model for mapping circular economy indicators to SDGs Plain Text - 6.5 KB - MD5: c13443b4429c9c306067f21b46e756e6
SDG12_prioritisation_sensitivity.zip Jun 26, 2026 - Python code for a rule-based NLP model for mapping circular economy indicators to SDGs ZIP Archive - 227.8 KB - MD5: 1ed6705eca8733963b3d5b45159e674b
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 - 118.2 KB - MD5: 27fc315139cbc9115409fe813029f40a Sample_input_CE_indicator_list_input_2713_round_2.csv
sample_output_classified_indicators.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
User_manual.pdf 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
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

00_ReadMe.txt

Jul 29, 2026 - Supplementary data and calculation workbooks for: Feedstock Circularity Interest: A diagnostic classification lens for biomass- and waste-to-X technology comparison

Plain Text - 7.3 KB -

01_ESI_tier_distributions_and_base_ESI_subindices.zip

Jun 30, 2026 - Supplementary data and calculation workbooks for: Feedstock Circularity Interest: A diagnostic classification lens for biomass- and waste-to-X technology comparison

ZIP Archive - 25.8 KB -

Contains the main article-specific calculation workbook and CSV exports for the tier-distribution profiles and ESI-derived descriptive indicators reported in the manuscript. It also includes the base comparison across the eight-technology core corpus.

02_ESI_Feedstock_Sensitivity.zip

Jun 30, 2026 - Supplementary data and calculation workbooks for: Feedstock Circularity Interest: A diagnostic classification lens for biomass- and waste-to-X technology comparison

ZIP Archive - 67.0 KB -

Contains the sensitivity-analysis workbooks and CSV exports used to test key coding and interpretation choices, including the T1–T2 coding swap, HVPR versus UTC comparison, exclusion of unresolved T1b cases, and gasification corpus-design comparison.

Python code for a rule-based NLP model for mapping circular economy indicators to SDGs

Jun 26, 2026

Barahmand Zahir, 2025, "Python code for a rule-based NLP model for mapping circular economy indicators to SDGs", https://doi.org/10.23642/USN.28920527, DataverseNO, V2

DATASET MIGRATED FROM FIGSHARE: The supplementary materials provide detailed support for the rule-based NLP model for classifying Circular Economy (CE) indicators against the Sustainable Development Goals (SDGs). The package includes: The complete Python codebase implementing the classification algorithm A detailed manual outlining model features,...

00_ReadMe file.txt

Jun 26, 2026 - Python code for a rule-based NLP model for mapping circular economy indicators to SDGs

Plain Text - 6.5 KB -

SDG12_prioritisation_sensitivity.zip

Jun 26, 2026 - Python code for a rule-based NLP model for mapping circular economy indicators to SDGs

ZIP Archive - 227.8 KB -

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 - 118.2 KB -

Sample_input_CE_indicator_list_input_2713_round_2.csv

sample_output_classified_indicators.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 -

sample_output_classified_indicators.csv

User_manual.pdf

May 16, 2025 - Python code for a rule-based NLP model for mapping circular economy indicators to SDGs

Adobe PDF - 132.2 KB -

User_manual.pdf

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 -

winpython_nlp_2713_CE-SDG_round2_0.py

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