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Plain Text - 5.5 KB - MD5: f6249001dfdbc8bb7bfe642dc0d1c1d1
Readme file for the dataset.
Adobe PDF - 136.7 KB - MD5: 8d11bc3cc046f0f0e5260e0d0e592cb9
Documentation of the dataset in PDF/A format, based on the Datasheets for Datasets framework.
Comma Separated Values - 212.8 MB - MD5: c4ace65f12086ec088f8bb53673ee0cb
Labour Inspection Checklist Dataset
Dec 21, 2021
Kaspersen, Eivind, 2021, "Eye-tracking data for classification of geometric shapes", https://doi.org/10.18710/TEJDSF, DataverseNO, V1
Eye-tracking data for geometric classification tasks for abstract and non-abstract thinking. How to develop and assess abstraction processes are longstanding methodical problems in mathematics education. Recently, the advent of eye tracking technology has spurred a discussion about whether eye movement analysis can support valid inferences about ma...
Plain Text - 4.8 KB - MD5: ffc314d045e835ff2f35ea06a26516df
Plain Text - 2.7 KB - MD5: 46bf073dfc08f8a05eb069b8846fe986
MS Excel Spreadsheet - 70.2 KB - MD5: d466a0a221e62e73053d528e2db736a5
Apr 10, 2024
Moksnes, Marta Riise, 2024, "Trace element GWAS summary statistics", https://doi.org/10.18710/UYPCL0, DataverseNO, V1
Trace elements are important for human health but may exert toxic or adverse effects. Mechanisms of uptake, distribution, metabolism, and excretion are partly under genetic control but have not yet been extensively mapped. Here we report a comprehensive multi-element genome-wide association study (GWAS) of 57 essential and non-essential trace eleme...
Plain Text - 12.5 KB - MD5: a8dcb1bcb26cf577c4902bf7b4fedee5
ZIP Archive - 39.3 GB - MD5: a02d1a15be2cc0c6cf04463dca43b036
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