University of South-Eastern Norway

URGE – Universal Readme Generator.

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.

21 to 30 of 2,247 Results

05_taxonomy_co2_capture_and_separation_mechanisms.pdf Jul 1, 2026 - Post-fossil carbon pathway taxonomies: Biomass-, waste-, and CO₂-to-X value-chain classifications Adobe PDF - 407.1 KB - MD5: 8577c130e0ccb6d6a89adc470f935f58 Taxonomy of CO₂ capture and separation mechanisms, including chemical and physical absorption, adsorption, membranes, cryogenic separation, electrochemical separation, solvents, sorbents, ionic liquids, deep eutectic solvents, and hybrid separation systems.
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.
Supplement to: Leisure Time Patterns of Children with and without Disabilities: A Cross-Sectional Latent Class Analysis Jun 26, 2026 Møller-Skau, Christian; Lorentzen, Catherine Anne Nicole; Moradi, Sharam; Bauger, Lars, 2026, "Supplement to: Leisure Time Patterns of Children with and without Disabilities: A Cross-Sectional Latent Class Analysis", https://doi.org/10.18710/BKXUWS, DataverseNO, V2 R script for analysis codes for the Latent Class Analysis and Multinomial Regression Analysis used in the article Leisure Time Patterns of Children with and without Disabilities: A Cross-Sectional Latent Class Analysis. Abstract from related publication Introduction: Leisure participation supports children's health, social inclusion, and well-being...
00_ReadMe.txt Jun 26, 2026 - Supplement to: Leisure Time Patterns of Children with and without Disabilities: A Cross-Sectional Latent Class Analysis Plain Text - 3.3 KB - MD5: 505f74a431ad7be0bad2eca7d06f2976
01_data_clean-1.R Jun 26, 2026 - Supplement to: Leisure Time Patterns of Children with and without Disabilities: A Cross-Sectional Latent Class Analysis R Syntax - 3.2 KB - MD5: d42abb6eea6dba685c8a6cea15187441
02_disability.R Jun 26, 2026 - Supplement to: Leisure Time Patterns of Children with and without Disabilities: A Cross-Sectional Latent Class Analysis R Syntax - 24.9 KB - MD5: 4b245e362b25a03d50eea8aeb2c2845a
03_analysis.R Jun 26, 2026 - Supplement to: Leisure Time Patterns of Children with and without Disabilities: A Cross-Sectional Latent Class Analysis R Syntax - 7.0 KB - MD5: c033fbcf1af06f8b4f69d9063b3f8fcc
04_LCA_analysis.R Jun 26, 2026 - Supplement to: Leisure Time Patterns of Children with and without Disabilities: A Cross-Sectional Latent Class Analysis R Syntax - 12.8 KB - MD5: 87f2172061c473a079e76779d3695c20
Stepwise supplement: results of rule-based mappings, validations, and indices (CE–SDG Framework) Jun 26, 2026 Barahmand Zahir, 2025, "Stepwise supplement: results of rule-based mappings, validations, and indices (CE–SDG Framework)", https://doi.org/10.23642/USN.28919984, DataverseNO, V2 DATASET MIGRATED FROM FIGSHARE: This supplementary file provides detailed results and documentation of the stepwise development, validation, and analysis process for the rule-based mapping of Circular Economy (CE) indicators to the Sustainable Development Goals (SDGs). It ensures full transparency, reproducibility, and traceability of the framework...

05_taxonomy_co2_capture_and_separation_mechanisms.pdf

Jul 1, 2026 - Post-fossil carbon pathway taxonomies: Biomass-, waste-, and CO₂-to-X value-chain classifications

Adobe PDF - 407.1 KB -

Taxonomy of CO₂ capture and separation mechanisms, including chemical and physical absorption, adsorption, membranes, cryogenic separation, electrochemical separation, solvents, sorbents, ionic liquids, deep eutectic solvents, and hybrid separation systems.

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.

Supplement to: Leisure Time Patterns of Children with and without Disabilities: A Cross-Sectional Latent Class Analysis

Jun 26, 2026

Møller-Skau, Christian; Lorentzen, Catherine Anne Nicole; Moradi, Sharam; Bauger, Lars, 2026, "Supplement to: Leisure Time Patterns of Children with and without Disabilities: A Cross-Sectional Latent Class Analysis", https://doi.org/10.18710/BKXUWS, DataverseNO, V2

R script for analysis codes for the Latent Class Analysis and Multinomial Regression Analysis used in the article Leisure Time Patterns of Children with and without Disabilities: A Cross-Sectional Latent Class Analysis. Abstract from related publication Introduction: Leisure participation supports children's health, social inclusion, and well-being...

00_ReadMe.txt

Jun 26, 2026 - Supplement to: Leisure Time Patterns of Children with and without Disabilities: A Cross-Sectional Latent Class Analysis

Plain Text - 3.3 KB -

01_data_clean-1.R

Jun 26, 2026 - Supplement to: Leisure Time Patterns of Children with and without Disabilities: A Cross-Sectional Latent Class Analysis

R Syntax - 3.2 KB -

02_disability.R

Jun 26, 2026 - Supplement to: Leisure Time Patterns of Children with and without Disabilities: A Cross-Sectional Latent Class Analysis

R Syntax - 24.9 KB -

03_analysis.R

Jun 26, 2026 - Supplement to: Leisure Time Patterns of Children with and without Disabilities: A Cross-Sectional Latent Class Analysis

R Syntax - 7.0 KB -

04_LCA_analysis.R

Jun 26, 2026 - Supplement to: Leisure Time Patterns of Children with and without Disabilities: A Cross-Sectional Latent Class Analysis

R Syntax - 12.8 KB -

Stepwise supplement: results of rule-based mappings, validations, and indices (CE–SDG Framework)

Jun 26, 2026

Barahmand Zahir, 2025, "Stepwise supplement: results of rule-based mappings, validations, and indices (CE–SDG Framework)", https://doi.org/10.23642/USN.28919984, DataverseNO, V2

DATASET MIGRATED FROM FIGSHARE: This supplementary file provides detailed results and documentation of the stepwise development, validation, and analysis process for the rule-based mapping of Circular Economy (CE) indicators to the Sustainable Development Goals (SDGs). It ensures full transparency, reproducibility, and traceability of the framework...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications