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readme.pdf
Apr 9, 2026 - ARP Nagykövet Program 2024- záró felmérés
Adobe PDF - 104.8 KB - MD5: 734f88efcdfedca62099f93dd2e41a3c
Az adatcsomag leírása
u10.dat
Apr 8, 2026 - Data for the paper: Quantitative SANS and Multi-Model Analysis of Spacer-Dependent Micellization of Urea-Based Gemini Surfactants
Fixed Field Text Data - 2.6 KB - MD5: 8564ee478ac9d0252dcbf7d7dd49ecee
u2.dat
Apr 8, 2026 - Data for the paper: Quantitative SANS and Multi-Model Analysis of Spacer-Dependent Micellization of Urea-Based Gemini Surfactants
Fixed Field Text Data - 2.6 KB - MD5: c20774b9ffe220cf66a0d89846a9ef3e
u4.dat
Apr 8, 2026 - Data for the paper: Quantitative SANS and Multi-Model Analysis of Spacer-Dependent Micellization of Urea-Based Gemini Surfactants
Fixed Field Text Data - 2.6 KB - MD5: 21b394ce1d7732fc2fc082db7c30e6e1
u6.dat
Apr 8, 2026 - Data for the paper: Quantitative SANS and Multi-Model Analysis of Spacer-Dependent Micellization of Urea-Based Gemini Surfactants
Fixed Field Text Data - 2.6 KB - MD5: 1d43f5cd630430fb14f8e0be3f44c4a3
u8.dat
Apr 8, 2026 - Data for the paper: Quantitative SANS and Multi-Model Analysis of Spacer-Dependent Micellization of Urea-Based Gemini Surfactants
Fixed Field Text Data - 2.6 KB - MD5: eca01098231b24668503043d4fbca676
Vasarhelyi_et_al_2025_final_dataset.csv
Apr 7, 2026 - Dataset used in Environmental and socio-economic factors behind data provision in 17 citizen science projects
Comma Separated Values - 104.2 KB - MD5: 96f30c4d24476a03aa54369a996407a7
codebook.xlsx
Mar 30, 2026 - Replication Data for the paper ‘Authenticity and personal signals increase hiring chances in online labor markets: large-scale analysis of online impression management’
MS Excel Spreadsheet - 20.7 KB - MD5: 32c1ea63202300db0258cfd481f42e00
Variable-level documentation with names, descriptions, and variable types
custom_dictionaries.docx
Mar 30, 2026 - Replication Data for the paper ‘Authenticity and personal signals increase hiring chances in online labor markets: large-scale analysis of online impression management’
MS Word - 27.1 KB - MD5: 62ffe7f9c85ce130eeed9d66c763f650
Detailed description of the custom dictionaries used for feature extraction
documentation.docx
Mar 30, 2026 - Replication Data for the paper ‘Authenticity and personal signals increase hiring chances in online labor markets: large-scale analysis of online impression management’
MS Word - 18.3 KB - MD5: 248b1cbdb028952ff406f5a4bd85107e
Comprehensive documentation covering data collection, methodology, and dataset structure
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