3,471 to 3,480 of 7,292 Results
ZIP Archive - 1007.2 MB -
MD5: b26f500b014ee899a5f6b1d1392471bc
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Aug 17, 2022 -
Data for: Norms on the gender perception of role nouns: gender ratio data for Chinese, Finnish, and Russian.
Adobe PDF - 1.5 MB -
MD5: 85917669c9e35a9fbae8515c7df1efa3
By-role and by-language results for participants' perceptions of the proportion of women and men within a given role. |
Aug 17, 2022 -
Data for: Norms on the gender perception of role nouns: gender ratio data for Chinese, Finnish, and Russian.
Unknown - 14.1 KB -
MD5: 2ce1c7d30b82ef5b48055b827aebf9de
RStudio analysis file that is set up to allow those accessing this dataset to easily examine how analysis was done. |
Aug 17, 2022 -
Data for: Norms on the gender perception of role nouns: gender ratio data for Chinese, Finnish, and Russian.
Plain Text - 13.9 KB -
MD5: 955a85057170a83b9ad503be31a67a62
R code written out in a .txt file |
Aug 17, 2022 -
Data for: Norms on the gender perception of role nouns: gender ratio data for Chinese, Finnish, and Russian.
Comma Separated Values - 112.4 KB -
MD5: d830302393fee736657813d80e62b110
Raw data from Chinese L1 participants |
Aug 17, 2022 -
Data for: Norms on the gender perception of role nouns: gender ratio data for Chinese, Finnish, and Russian.
Comma Separated Values - 102.4 KB -
MD5: 3ca972d62dd7ad30e5cebdbdbe472b7c
Raw data from Finnish L1 participants |
Aug 17, 2022 -
Data for: Norms on the gender perception of role nouns: gender ratio data for Chinese, Finnish, and Russian.
Comma Separated Values - 211.4 KB -
MD5: a6ffd43d780ebb750e8c37b94cb6cf66
Raw data from Russian L1 participants |
Aug 17, 2022 -
Data for: Norms on the gender perception of role nouns: gender ratio data for Chinese, Finnish, and Russian.
Adobe PDF - 1.1 MB -
MD5: c6c4efbd5433a91016eae42ab37efa64
A PDF/A file containing all role nouns (in english) and all translations for all three languages examined. |
Aug 17, 2022
Fuglerud, Silje Skeide, 2021, "Aqueous glucose measured by NIR spectroscopy", https://doi.org/10.18710/NSHFAK, DataverseNO, V2
Near infrared spectroscopy (NIR) is a promising technique that could be used for continuous blood glucose monitoring in the treatment of diabetic patients. Four interferents (lactate, ethanol, caffeine and acetaminophen) were introduced to study how the glucose predictions varied... |
Aug 17, 2022 -
Aqueous glucose measured by NIR spectroscopy
Plain Text - 3.1 KB -
MD5: 202f7cc7c9a528d65a75aceaa6222790
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