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1,321 to 1,330 of 2,963 Results
Sample_input_CE_indicator_list_input_2713_round_2.csv
May 16, 2025 - Python code for a stratified random sampling of circular economy indicators
Comma Separated Values - 118.2 KB - MD5: 27fc315139cbc9115409fe813029f40a
sample_output_stratified_sample_5percent.csv
May 16, 2025 - Python code for a stratified random sampling of circular economy indicators
Comma Separated Values - 10.7 KB - MD5: e3c21c64ef2b2b597ca9c45695620f16
User_manual.pdf
May 16, 2025 - Python code for a stratified random sampling of circular economy indicators
Adobe PDF - 71.3 KB - MD5: b06ce95c6752696bf1f50b1b524e7916
winpython_stratified_samplnig_for_expert_review_0.py
May 16, 2025 - Python code for a stratified random sampling of circular economy indicators
Python Source Code - 1.3 KB - MD5: 2017e151bfe889460e45963cce946d88
winpython_stratified_samplnig_for_expert_review_0.txt
May 16, 2025 - Python code for a stratified random sampling of circular economy indicators
Plain Text - 1.2 KB - MD5: 8294f2edad6de430d07b4ac1e9377305
Replication data for: Improving Hand Hygiene in Cruise Ship: an Intervention Study
May 16, 2025 - University of South-Eastern Norway
Bansaghi Szava Julia, 2025, "Replication data for: Improving Hand Hygiene in Cruise Ship: an Intervention Study", https://doi.org/10.23642/USN.29064080, DataverseNO, V1
DATASET MIGRATED FROM FIGSHARE: Extended data for the article with the same title. Supplementary Table 1: Description of the sampled surfaces and sample collection methods. Supplementary Table 2: Hand Hygiene Questionnaire
Suppl 1.pdf
May 16, 2025 - Replication data for: Improving Hand Hygiene in Cruise Ship: an Intervention Study
Adobe PDF - 637.5 KB - MD5: 48c3c9f930f1ccef2fb7fa6e626f2446
Suppl 1.pdf
Suppl 2.pdf
May 16, 2025 - Replication data for: Improving Hand Hygiene in Cruise Ship: an Intervention Study
Adobe PDF - 726.8 KB - MD5: f5a9efbbc3c730f8998048715bcad1a2
Suppl 2.pdf
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
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