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References.csv
May 16, 2025 - Supplementary material: Detailed temporal analysis of CE–SDG mapping dynamics
Comma Separated Values - 16.4 KB - MD5: 7fe3fdc5b204c73d57cd6d63fea2cc70
References.csv
Supplementary material for detailed temporal analysis of CE–SDG mapping dynamics.xlsx
May 16, 2025 - Supplementary material: Detailed temporal analysis of CE–SDG mapping dynamics
MS Excel Spreadsheet - 194.5 KB - MD5: aca863524e90cfbe6037247e5489830f
Supplementary material for detailed temporal analysis of CE–SDG mapping dynamics.xlsx
Temporal_analysis.csv
May 16, 2025 - Supplementary material: Detailed temporal analysis of CE–SDG mapping dynamics
Comma Separated Values - 2.1 KB - MD5: 5ae9aefe627b9794c9759dfc9cca7c62
Temporal_analysis.csv
Python code for a stratified random sampling of circular economy indicators
May 16, 2025 - University of South-Eastern Norway
Barahmand Zahir, 2025, "Python code for a stratified random sampling of circular economy indicators", https://doi.org/10.23642/USN.28920620, DataverseNO, V1
DATASET MIGRATED FROM FIGSHARE: This Python script performs stratified random sampling of 2,713 Circular Economy (CE) indicators based on their SDG classification for expert reviews. It ensures proportional representation by sampling approximately 5% of indicators from each SDG group while guaranteeing at least one sample per SDG when present. Thes...
ReadMe file.txt
May 16, 2025 - Python code for a stratified random sampling of circular economy indicators
Plain Text - 5.0 KB - MD5: 9fb74b1159982db0ecb13f2992ffe34e
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
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