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6,021 to 6,030 of 144,228 Results
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
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).
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
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
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