Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

781 to 790 of 2,228 Results
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
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
Python code for hierarchical cluster analysis of detected R-strategies from rule-based NLP on 500 circular economy definitions
Mar 20, 2025
Barahmand Zahir, 2025, "Python code for hierarchical cluster analysis of detected R-strategies from rule-based NLP on 500 circular economy definitions", https://doi.org/10.23642/USN.28615652, DataverseNO, V1
DATASET MIGRATED FROM FIGSHARE: The dataset used in this analysis consists of 500 peer-reviewed circular economy (CE) definitions systematically collected from key academic sources. The definitions were processed using a rule-based NLP model to extract the presence of R-strategies (R0-R9), which operationalize circularity in CE frameworks. Each def...
Hierarchical cluster analysis of R-strategies.ipynb
Mar 20, 2025 - Python code for hierarchical cluster analysis of detected R-strategies from rule-based NLP on 500 circular economy definitions
Jupyter Notebook - 85.4 KB - MD5: 70481ef0c87641ea1c6214232f9ae6b8
Hierarchical cluster analysis of R-strategies.ipynb
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.