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311 to 320 of 140,751 Results

Replication Data for: Morphological traits in bilberry (Vaccinium myrtillus) in different habitats in southeastern Norway and responses to simulated herbivory Jun 26, 2026 - University of Inland Norway Schrijvers-Gonlag, Marcel; Christina Skarpe, 2026, "Replication Data for: Morphological traits in bilberry (Vaccinium myrtillus) in different habitats in southeastern Norway and responses to simulated herbivory", https://doi.org/10.18710/HR2DKR, DataverseNO, V1 This dataset contains empirical data from a field experiment investigating the effects of simulated herbivory on morphological traits of bilberry (Vaccinium myrtillus) in boreal forest habitats in southeastern Norway. The study was conducted in 2014 in Stor-Elvdal municipality (Innlandet county) across three study sites (Evenstadlia, Imsdalen, and...
00_ClipExpVacMyr_20260601_README.txt Jun 26, 2026 - Replication Data for: Morphological traits in bilberry (Vaccinium myrtillus) in different habitats in southeastern Norway and responses to simulated herbivory Plain Text - 22.8 KB - MD5: 1f3f9b78989f127e23bbe01d46066479 Information about the other 3 files in this folder.
01_ClipExpVacMyr_20260601_R-script.R Jun 26, 2026 - Replication Data for: Morphological traits in bilberry (Vaccinium myrtillus) in different habitats in southeastern Norway and responses to simulated herbivory R Syntax - 330.4 KB - MD5: c9ef0e62b44b8f53440565daff92159f The script to be used in the software R, which will perform all analyses as explained and used in the related publication (Schrijvers-Gonlag & Skarpe 2026).
02_ClipExpVacMyr_20260601_R-script.txt Jun 26, 2026 - Replication Data for: Morphological traits in bilberry (Vaccinium myrtillus) in different habitats in southeastern Norway and responses to simulated herbivory Plain Text - 330.4 KB - MD5: c9ef0e62b44b8f53440565daff92159f The same file as 01 but here in plain text format.
03_ClipExpVacMyr_20260305_Alldata.csv Jun 26, 2026 - Replication Data for: Morphological traits in bilberry (Vaccinium myrtillus) in different habitats in southeastern Norway and responses to simulated herbivory Comma Separated Values - 201.6 KB - MD5: d4a755f1b6ea2c44789e329bcce88d20 The data file with data in csv-format, which is used in the R-script (the file: 01_ClipExpVacmyr_20260601_R-script.R).
Stepwise supplement: results of rule-based mappings, validations, and indices (CE–SDG Framework) Jun 26, 2026 - University of South-Eastern Norway 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...
00_ReadMe.txt Jun 26, 2026 - Stepwise supplement: results of rule-based mappings, validations, and indices (CE–SDG Framework) Plain Text - 5.3 KB - MD5: 8d4c8100883399b1b18680acaa31df18
CSVs.zip Jun 26, 2026 - Stepwise supplement: results of rule-based mappings, validations, and indices (CE–SDG Framework) ZIP Archive - 221.7 KB - MD5: ae9a6baaf424de3271d3081f0396d080
Stepwise supplement results of rule-based mappings, validations, and indices.xlsx Jun 26, 2026 - Stepwise supplement: results of rule-based mappings, validations, and indices (CE–SDG Framework) MS Excel Spreadsheet - 539.1 KB - MD5: 89b80a130c4188f1d712249f22e0b7ea
Python code for a rule-based NLP model for mapping circular economy indicators to SDGs Jun 26, 2026 - University of South-Eastern Norway 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,...

Replication Data for: Morphological traits in bilberry (Vaccinium myrtillus) in different habitats in southeastern Norway and responses to simulated herbivory

Jun 26, 2026 - University of Inland Norway

Schrijvers-Gonlag, Marcel; Christina Skarpe, 2026, "Replication Data for: Morphological traits in bilberry (Vaccinium myrtillus) in different habitats in southeastern Norway and responses to simulated herbivory", https://doi.org/10.18710/HR2DKR, DataverseNO, V1

This dataset contains empirical data from a field experiment investigating the effects of simulated herbivory on morphological traits of bilberry (Vaccinium myrtillus) in boreal forest habitats in southeastern Norway. The study was conducted in 2014 in Stor-Elvdal municipality (Innlandet county) across three study sites (Evenstadlia, Imsdalen, and...

00_ClipExpVacMyr_20260601_README.txt

Jun 26, 2026 - Replication Data for: Morphological traits in bilberry (Vaccinium myrtillus) in different habitats in southeastern Norway and responses to simulated herbivory

Plain Text - 22.8 KB -

Information about the other 3 files in this folder.

01_ClipExpVacMyr_20260601_R-script.R

Jun 26, 2026 - Replication Data for: Morphological traits in bilberry (Vaccinium myrtillus) in different habitats in southeastern Norway and responses to simulated herbivory

R Syntax - 330.4 KB -

The script to be used in the software R, which will perform all analyses as explained and used in the related publication (Schrijvers-Gonlag & Skarpe 2026).

02_ClipExpVacMyr_20260601_R-script.txt

Jun 26, 2026 - Replication Data for: Morphological traits in bilberry (Vaccinium myrtillus) in different habitats in southeastern Norway and responses to simulated herbivory

Plain Text - 330.4 KB -

The same file as 01 but here in plain text format.

03_ClipExpVacMyr_20260305_Alldata.csv

Jun 26, 2026 - Replication Data for: Morphological traits in bilberry (Vaccinium myrtillus) in different habitats in southeastern Norway and responses to simulated herbivory

Comma Separated Values - 201.6 KB -

The data file with data in csv-format, which is used in the R-script (the file: 01_ClipExpVacmyr_20260601_R-script.R).

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

Jun 26, 2026 - University of South-Eastern Norway

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...

00_ReadMe.txt

Jun 26, 2026 - Stepwise supplement: results of rule-based mappings, validations, and indices (CE–SDG Framework)

Plain Text - 5.3 KB -

CSVs.zip

Jun 26, 2026 - Stepwise supplement: results of rule-based mappings, validations, and indices (CE–SDG Framework)

ZIP Archive - 221.7 KB -

Stepwise supplement results of rule-based mappings, validations, and indices.xlsx

Jun 26, 2026 - Stepwise supplement: results of rule-based mappings, validations, and indices (CE–SDG Framework)

MS Excel Spreadsheet - 539.1 KB -

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

Jun 26, 2026 - University of South-Eastern Norway

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,...

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