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License: CC BY 4.0

61 to 70 of 2,642 Results

WBD_Oil_Supply_Chain_Map_Norway.html Mar 20, 2026 - Supplementary data and code for: Replacing natural gas in Norwegian methanol production: A national-scale MILP optimization of a waste-to-methanol supply chain HTML - 1.5 MB - MD5: b0c40d5b002185231e412f130104120b Interactive Leaflet.js map visualising the optimised waste- and biogenic-derived oil supply chain across all four scenarios. Displays conversion plant markers with module-specific colour coding, active port markers scaled by throughput, WBD-oil flow arcs routed along the Norwegian road network, and electricity and heat demand layers. Open directly...
00_ReadMe.txt Mar 20, 2026 - Supplementary data for: A governance-aware systems thinking architecture for sustainability at scale Plain Text - 13.5 KB - MD5: d63313ad4952b2c0d83cd23652b927a5
diagnostic_matrix_STAI3RS.xlsx Mar 20, 2026 - Supplementary data for: A governance-aware systems thinking architecture for sustainability at scale MS Excel Spreadsheet - 19.8 KB - MD5: c716be98d5501b6e9b262c6047353042 Two-sheet workbook documenting the derivation of the eight STAI³RS governance principles from a narrative review of 21 systems thinking traditions. Sheet 1 records four dimensions per tradition: primary purpose, limitations, governance requirements, and governance pattern keywords. Sheet 2 shows how keywords were aggregated across traditions into t...
step1_Diagnostic_Matrix.csv Mar 20, 2026 - Supplementary data for: A governance-aware systems thinking architecture for sustainability at scale Comma Separated Values - 7.6 KB - MD5: 046bb068e10d1150be5b26ef4cd88d01 Sheet 1 records four dimensions per tradition: primary purpose, limitations, governance requirements, and governance pattern keywords
Step2_STAI3RS_Derivation.csv Mar 20, 2026 - Supplementary data for: A governance-aware systems thinking architecture for sustainability at scale Comma Separated Values - 4.6 KB - MD5: d49f81917188b5de7146e3738dce1cd3 Sheet 2 shows how keywords were aggregated across traditions into the eight named principles, with frequency counts and definitions.
00_ReadMe.txt Mar 17, 2026 - Replication Data for: A Database of Post-2002 Dead Sea Scroll-like Fragments Plain Text - 5.1 KB - MD5: bb1a45b15a15d974d61a26e0e65427ce This read me-file gives useful information about the post-2002 Dead Sea Scroll-like fragments database.
00_ReadMe.txt Mar 10, 2026 - Syngas-to-Chemicals Pathway Portfolio Dataset: Product Classification, Conversion Depth Encoding, and ESI–PAE Index Scores for 11 Routes (N = 2,756) Plain Text - 28.7 KB - MD5: 26a67fafa28e757f867477025432714e
2a_Data_Collection_and_Preparation.zip Mar 10, 2026 - Syngas-to-Chemicals Pathway Portfolio Dataset: Product Classification, Conversion Depth Encoding, and ESI–PAE Index Scores for 11 Routes (N = 2,756) ZIP Archive - 1.1 MB - MD5: 4cbc9712b734e27108cbe061bf54bef3 Full classification pipeline for 2,756 syngas-derived products across 11 routes: raw product hierarchy (step i), EVPBP reference files (step ii), LLM-assisted classification script and results (step iii), expert curation logs for CHECK and NEW flags (step iv), curated output file (step v), and updated EVPBP taxonomy (step vi).
2b_Route_Selection.zip Mar 10, 2026 - Syngas-to-Chemicals Pathway Portfolio Dataset: Product Classification, Conversion Depth Encoding, and ESI–PAE Index Scores for 11 Routes (N = 2,756) ZIP Archive - 30.5 MB - MD5: b8277a8f3dd1663f788b3336f04a5c57 Reference documents used for route selection: Petrochemicals Europe (Cefic), SABIC catalogues, CPCIC petrochemical chain, and selected pages from the Iran national petrochemical flowchart. Justification for included and excluded routes is provided in the accompanying paper.
Index_Scores_and_Results.zip Mar 10, 2026 - Syngas-to-Chemicals Pathway Portfolio Dataset: Product Classification, Conversion Depth Encoding, and ESI–PAE Index Scores for 11 Routes (N = 2,756) ZIP Archive - 236.6 KB - MD5: 0bed10b880e7c19bef64491df8187885 ESI and PAE composite scores and sub-index profiles for all 11 routes under four weighting scenarios (S1–S4), WSPI sensitivity analysis, joint ESI–PAE convergence analysis including Spearman rank correlation and quadrant scatter data, and value level and chemical class distribution tables. Includes data descriptors for all files.

WBD_Oil_Supply_Chain_Map_Norway.html

Mar 20, 2026 - Supplementary data and code for: Replacing natural gas in Norwegian methanol production: A national-scale MILP optimization of a waste-to-methanol supply chain

HTML - 1.5 MB -

Interactive Leaflet.js map visualising the optimised waste- and biogenic-derived oil supply chain across all four scenarios. Displays conversion plant markers with module-specific colour coding, active port markers scaled by throughput, WBD-oil flow arcs routed along the Norwegian road network, and electricity and heat demand layers. Open directly...

00_ReadMe.txt

Mar 20, 2026 - Supplementary data for: A governance-aware systems thinking architecture for sustainability at scale

Plain Text - 13.5 KB -

diagnostic_matrix_STAI3RS.xlsx

Mar 20, 2026 - Supplementary data for: A governance-aware systems thinking architecture for sustainability at scale

MS Excel Spreadsheet - 19.8 KB -

Two-sheet workbook documenting the derivation of the eight STAI³RS governance principles from a narrative review of 21 systems thinking traditions. Sheet 1 records four dimensions per tradition: primary purpose, limitations, governance requirements, and governance pattern keywords. Sheet 2 shows how keywords were aggregated across traditions into t...

step1_Diagnostic_Matrix.csv

Mar 20, 2026 - Supplementary data for: A governance-aware systems thinking architecture for sustainability at scale

Comma Separated Values - 7.6 KB -

Sheet 1 records four dimensions per tradition: primary purpose, limitations, governance requirements, and governance pattern keywords

Step2_STAI3RS_Derivation.csv

Mar 20, 2026 - Supplementary data for: A governance-aware systems thinking architecture for sustainability at scale

Comma Separated Values - 4.6 KB -

Sheet 2 shows how keywords were aggregated across traditions into the eight named principles, with frequency counts and definitions.

00_ReadMe.txt

Mar 17, 2026 - Replication Data for: A Database of Post-2002 Dead Sea Scroll-like Fragments

Plain Text - 5.1 KB -

This read me-file gives useful information about the post-2002 Dead Sea Scroll-like fragments database.

00_ReadMe.txt

Mar 10, 2026 - Syngas-to-Chemicals Pathway Portfolio Dataset: Product Classification, Conversion Depth Encoding, and ESI–PAE Index Scores for 11 Routes (N = 2,756)

Plain Text - 28.7 KB -

2a_Data_Collection_and_Preparation.zip

Mar 10, 2026 - Syngas-to-Chemicals Pathway Portfolio Dataset: Product Classification, Conversion Depth Encoding, and ESI–PAE Index Scores for 11 Routes (N = 2,756)

ZIP Archive - 1.1 MB -

Full classification pipeline for 2,756 syngas-derived products across 11 routes: raw product hierarchy (step i), EVPBP reference files (step ii), LLM-assisted classification script and results (step iii), expert curation logs for CHECK and NEW flags (step iv), curated output file (step v), and updated EVPBP taxonomy (step vi).

2b_Route_Selection.zip

Mar 10, 2026 - Syngas-to-Chemicals Pathway Portfolio Dataset: Product Classification, Conversion Depth Encoding, and ESI–PAE Index Scores for 11 Routes (N = 2,756)

ZIP Archive - 30.5 MB -

Reference documents used for route selection: Petrochemicals Europe (Cefic), SABIC catalogues, CPCIC petrochemical chain, and selected pages from the Iran national petrochemical flowchart. Justification for included and excluded routes is provided in the accompanying paper.

Index_Scores_and_Results.zip

Mar 10, 2026 - Syngas-to-Chemicals Pathway Portfolio Dataset: Product Classification, Conversion Depth Encoding, and ESI–PAE Index Scores for 11 Routes (N = 2,756)

ZIP Archive - 236.6 KB -

ESI and PAE composite scores and sub-index profiles for all 11 routes under four weighting scenarios (S1–S4), WSPI sensitivity analysis, joint ESI–PAE convergence analysis including Spearman rank correlation and quadrant scatter data, and value level and chemical class distribution tables. Includes data descriptors for all files.

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