University of South-Eastern Norway

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2,201 to 2,210 of 2,247 Results

00_ReadMe.txt Jul 29, 2026 - Supplementary data and calculation workbooks for: Feedstock Circularity Interest: A diagnostic classification lens for biomass- and waste-to-X technology comparison Plain Text - 7.3 KB - MD5: d55210f7aacbb2edd98d5834c551fc13
01_ESI_tier_distributions_and_base_ESI_subindices.zip Jun 30, 2026 - Supplementary data and calculation workbooks for: Feedstock Circularity Interest: A diagnostic classification lens for biomass- and waste-to-X technology comparison ZIP Archive - 25.8 KB - MD5: 747f69fcd753e6239b8e44c828480809 Contains the main article-specific calculation workbook and CSV exports for the tier-distribution profiles and ESI-derived descriptive indicators reported in the manuscript. It also includes the base comparison across the eight-technology core corpus.
02_ESI_Feedstock_Sensitivity.zip Jun 30, 2026 - Supplementary data and calculation workbooks for: Feedstock Circularity Interest: A diagnostic classification lens for biomass- and waste-to-X technology comparison ZIP Archive - 67.0 KB - MD5: 346ed20917a9604d509f92ab537bf1fb Contains the sensitivity-analysis workbooks and CSV exports used to test key coding and interpretation choices, including the T1–T2 coding swap, HVPR versus UTC comparison, exclusion of unresolved T1b cases, and gasification corpus-design comparison.
Replication Data for "Urban Heat: The warming effect of coastal infrastructure on sea turtle nesting beaches" Aug 21, 2026 Carbonell Ellgutter, Jennifer Alejandrina, 2026, "Replication Data for "Urban Heat: The warming effect of coastal infrastructure on sea turtle nesting beaches"", https://doi.org/10.18710/JRUPUW, DataverseNO, V1 The dataset contains hourly sand-temperature measurements collected during 2021 and 2022 at four coastal sites on the Pacific coast of Guatemala. Temperatures were recorded at two depths (30 and 50 cm) and at standardized distances (0.5–3 m) from concrete structures and undeveloped areas to assess the influence of coastal infrastructure on the ther...
ConcreteSandTemperature_Guatemala2021-2022.txt Aug 21, 2026 - Replication Data for "Urban Heat: The warming effect of coastal infrastructure on sea turtle nesting beaches" Plain Text - 7.7 MB - MD5: bc00660a676a61a4fe1628b25a3f7600 Hourly sand-temperature data collected in 2021 and 2022
README.txt Aug 21, 2026 - Replication Data for "Urban Heat: The warming effect of coastal infrastructure on sea turtle nesting beaches" Plain Text - 6.5 KB - MD5: de054a394fbee347d767b369abdbb218
Python code for a rule-based NLP model for mapping circular economy indicators to SDGs Jun 26, 2026 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, V2 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,...
00_ReadMe file.txt Jun 26, 2026 - Python code for a rule-based NLP model for mapping circular economy indicators to SDGs Plain Text - 6.5 KB - MD5: c13443b4429c9c306067f21b46e756e6
SDG12_prioritisation_sensitivity.zip Jun 26, 2026 - Python code for a rule-based NLP model for mapping circular economy indicators to SDGs ZIP Archive - 227.8 KB - MD5: 1ed6705eca8733963b3d5b45159e674b
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

00_ReadMe.txt

Jul 29, 2026 - Supplementary data and calculation workbooks for: Feedstock Circularity Interest: A diagnostic classification lens for biomass- and waste-to-X technology comparison

Plain Text - 7.3 KB -

01_ESI_tier_distributions_and_base_ESI_subindices.zip

Jun 30, 2026 - Supplementary data and calculation workbooks for: Feedstock Circularity Interest: A diagnostic classification lens for biomass- and waste-to-X technology comparison

ZIP Archive - 25.8 KB -

Contains the main article-specific calculation workbook and CSV exports for the tier-distribution profiles and ESI-derived descriptive indicators reported in the manuscript. It also includes the base comparison across the eight-technology core corpus.

02_ESI_Feedstock_Sensitivity.zip

Jun 30, 2026 - Supplementary data and calculation workbooks for: Feedstock Circularity Interest: A diagnostic classification lens for biomass- and waste-to-X technology comparison

ZIP Archive - 67.0 KB -

Contains the sensitivity-analysis workbooks and CSV exports used to test key coding and interpretation choices, including the T1–T2 coding swap, HVPR versus UTC comparison, exclusion of unresolved T1b cases, and gasification corpus-design comparison.

Replication Data for "Urban Heat: The warming effect of coastal infrastructure on sea turtle nesting beaches"

Aug 21, 2026

Carbonell Ellgutter, Jennifer Alejandrina, 2026, "Replication Data for "Urban Heat: The warming effect of coastal infrastructure on sea turtle nesting beaches"", https://doi.org/10.18710/JRUPUW, DataverseNO, V1

The dataset contains hourly sand-temperature measurements collected during 2021 and 2022 at four coastal sites on the Pacific coast of Guatemala. Temperatures were recorded at two depths (30 and 50 cm) and at standardized distances (0.5–3 m) from concrete structures and undeveloped areas to assess the influence of coastal infrastructure on the ther...

ConcreteSandTemperature_Guatemala2021-2022.txt

Aug 21, 2026 - Replication Data for "Urban Heat: The warming effect of coastal infrastructure on sea turtle nesting beaches"

Plain Text - 7.7 MB -

Hourly sand-temperature data collected in 2021 and 2022

README.txt

Aug 21, 2026 - Replication Data for "Urban Heat: The warming effect of coastal infrastructure on sea turtle nesting beaches"

Plain Text - 6.5 KB -

Python code for a rule-based NLP model for mapping circular economy indicators to SDGs

Jun 26, 2026

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, V2

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,...

00_ReadMe file.txt

Jun 26, 2026 - Python code for a rule-based NLP model for mapping circular economy indicators to SDGs

Plain Text - 6.5 KB -

SDG12_prioritisation_sensitivity.zip

Jun 26, 2026 - Python code for a rule-based NLP model for mapping circular economy indicators to SDGs

ZIP Archive - 227.8 KB -

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 -

Sample_input_CE_indicator_list_input_2713_round_2.csv

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