Additional file 2 of Predicting probable Alzheimerâ s disease using linguistic deficits and biomarkers

Raw transformed data. These files contain the transformed linguistic features from the DementiaBank dataset and appear in the Comma Separated Values file format. (ZIP 18.4 kb)

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Identity

Description: The Identity category includes attributes that support the identification of the resource.

Field Value
PID https://www.doi.org/10.6084/m9.figshare.c.3666406_d2.v1
PID https://www.doi.org/10.6084/m9.figshare.c.3666406_d2
URL https://figshare.com/articles/Additional_file_2_of_Predicting_probable_Alzheimer_s_disease_using_linguistic_deficits_and_biomarkers/4555399
URL https://dx.doi.org/10.6084/m9.figshare.c.3666406_d2.v1
URL http://dx.doi.org/10.6084/m9.figshare.c.3666406_d2.v1
URL http://dx.doi.org/10.6084/m9.figshare.c.3666406_d2
Access Modality

Description: The Access Modality category includes attributes that report the modality of exploitation of the resource.

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Access Right Open Access
Attribution

Description: Authorships and contributors

Field Value
Author Orimaye, Sylvester
Author Jojo Wong
Author Golden, Karen
Author Wong, Chee
Author Ireneous Soyiri
Publishing

Description: Attributes about the publishing venue (e.g. journal) and deposit location (e.g. repository)

Field Value
Collected From Datacite; figshare
Hosted By figshare
Publication Date 2017-01-15
Publisher Figshare
Additional Info
Field Value
Language Undetermined
Resource Type Dataset
keyword FOS: Sociology
keyword FOS: Biological sciences
keyword FOS: Computer and information sciences
keyword Alzheimer’s disease
system:type dataset
Management Info
Field Value
Source https://science-innovation-policy.openaire.eu/search/dataset?datasetId=dedup_wf_001::a1cff9e63b7fa82fe3e90c9ae6304178
Author jsonws_user
Last Updated 7 January 2021, 12:12 (CET)
Created 7 January 2021, 12:12 (CET)