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Aug 12, 2021 -
Replication Data for: fNIRS-QC: crowd-sourced creation of a dataset and machine learning model for fNIRS quality control
Python Source Code - 2.0 KB -
MD5: 6ed82afe0a8c50ea83c890e978ce40f9
Network architecture |
Aug 12, 2021 -
Replication Data for: fNIRS-QC: crowd-sourced creation of a dataset and machine learning model for fNIRS quality control
Tabular Data - 105.1 KB - 4 Variables, 2438 Observations - UNF:6:EcnRCYcJUcoWSmexjaAaPw==
Users' raw ratings |
Aug 12, 2021 -
Replication Data for: fNIRS-QC: crowd-sourced creation of a dataset and machine learning model for fNIRS quality control
ZIP Archive - 393.8 KB -
MD5: c6f97781faba96bbcd9f4de4f38f500e
Signals used for the study |
Aug 12, 2021 -
Replication Data for: fNIRS-QC: crowd-sourced creation of a dataset and machine learning model for fNIRS quality control
Comma Separated Values - 3.1 KB -
MD5: 6d54f062b95ffe0eb95a26dd21befde8
test labels |
Aug 12, 2021 -
Replication Data for: fNIRS-QC: crowd-sourced creation of a dataset and machine learning model for fNIRS quality control
Comma Separated Values - 12.2 KB -
MD5: 2d26276f56856c54970ffc7c5fbaae60
train labels |
Aug 12, 2021 -
Replication Data for: fNIRS-QC: crowd-sourced creation of a dataset and machine learning model for fNIRS quality control
Tabular Data - 186 B - 2 Variables, 12 Observations - UNF:6:yOqh1wHUSdZHZHMgl4T8dA==
User expertise |
Aug 5, 2021
Esposito, Gianluca; Cataldo, Ilaria; Bonassi, Andrea; Gabrieli, Giulio, 2021, "Related Data for: Serotonin Transporter Gene Polymorphisms and Maternal Overprotection Regulate Adult Social Expectations on Close Relationships", https://doi.org/10.21979/N9/SZNMRI, DR-NTU (Data), V2, UNF:6:yHyQFMrJ7OM+IdvWnsJ07Q== [fileUNF]
Humans are evolutionary-driven to adult mating and conceive social expectations on the quality of their affiliations. The genetic susceptibility to adverse environments in critical periods can alter close relationships. The current research investigates how the promoter region of... |
Tabular Data - 1.9 KB - 1 Variables, 65 Observations - UNF:6:yHyQFMrJ7OM+IdvWnsJ07Q==
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Plain Text - 857 B -
MD5: b5cf99866576126467cb893ab9f7a1d4
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Jun 4, 2021
Gabrieli, Giulio; Cataldo, Ilaria; Esposito, Gianluca, 2021, "Covid-19 Circuit Breaker: impacts on daily routine, social media usage and psychological well-being In Singapore and Overseas", https://doi.org/10.21979/N9/9CYGRE, DR-NTU (Data), V1, UNF:6:9pX6U9Fp+bOOMUIY8c5/sw== [fileUNF]
The purpose of study is to investigate how individual features, such as personality traits, biological sex, age, influence the quantity and type of usage of social media platforms across the spectrum of psychological well-being during the time of circuit breaker due to the Covid-... |
