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Consent sample (1).pdf
May 16, 2025 - Replication data for: Microbiome of a cruise ship: Analysis of the microbiome found on surfaces and crew members' hands
Adobe PDF - 590.3 KB - MD5: 646ef121098b12431a2def10672611d6
Consent sample (1).pdf
Information_letter v1.4 (1).pdf
May 16, 2025 - Replication data for: Microbiome of a cruise ship: Analysis of the microbiome found on surfaces and crew members' hands
Adobe PDF - 284.3 KB - MD5: 006318e4a24d70079c050593d211ebf7
Information_letter v1.4 (1).pdf
Supplementary.pdf
May 16, 2025 - Replication data for: Microbiome of a cruise ship: Analysis of the microbiome found on surfaces and crew members' hands
Adobe PDF - 924.9 KB - MD5: b953445c36873c88a260836f09eb1592
Supplementary.pdf
ReadMe file.txt
May 16, 2025 - Python code for a rule-based NLP model for mapping circular economy indicators to SDGs
Plain Text - 5.1 KB - MD5: e420fec1e5bb7eb8d8f62b3dd7859cec
ReadMe file.txt
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
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
Cover.pdf
May 16, 2025 - Supplementary material: Detailed temporal analysis of CE–SDG mapping dynamics
Adobe PDF - 31.4 KB - MD5: fab9666ccfe4af7c92d879ed02283148
Cover.pdf
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