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MD5: 02705bd651e4a1be6f0b68af3e8efcb4
Detailed_freq_of_economies.csv |
Plain Text - 4.7 KB -
MD5: b4425a11446c1ebd3fe5a2dafa830428
ReadMe file.txt |
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MD5: 3e387f21ae69a1d7b3aa9c6960ec6a49
Search Protocol.pdf |
Adobe PDF - 222.4 KB -
MD5: f2b4709555ed5e0c36b3e789a1b76d90
Supplementary chapter An overview and descriptions of sustainability-oriented economic models.pdf |
May 16, 2025 - University of South-Eastern Norway
Bansaghi Szava Julia, 2025, "Replication data for: Microbiome of a cruise ship: Analysis of the microbiome found on surfaces and crew members' hands", https://doi.org/10.23642/USN.29063267, DataverseNO, V1
DATASET MIGRATED FROM FIGSHARE: Extended data for the article with the same title. - Supplementary Table 1 - Information letters and - Consent form |
May 16, 2025 -
Replication data for: Microbiome of a cruise ship: Analysis of the microbiome found on surfaces and crew members' hands
Adobe PDF - 407.4 KB -
MD5: b7ac053680c5351966a71f0bd7f9fda0
Annex 3 - Information Letter (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 |
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 |
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 |
May 16, 2025 - University of South-Eastern Norway
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, V1
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,... |
