Replication Data for Seven-month kinetics of SARS-CoV-2 antibodies and role of pre-existing antibodies to human coronaviruses

Dataset

DOI

Database containing raw analytical data obtained in the SEROCOV-1 study and personal covariates used by Ortega-Ribes et al. (Nature Communications, 2021). Data correspond to antibody levels to SARS-CoV-2 and four seasonal coronaviruses, and the neutralization capacity of 578 participants recruited from 28 March- 9 April 2020, and the follow-up visits after one, three and six months. The analytical data is completed with participants' information on occupation, comorbidities, previous COVID19 diagnoses and other sociodemographic characteristics. The code was developed using R version 4.0.3.

R, 4.0.3

Identifier
DOI	https://doi.org/10.34810/data125
Metadata Access	https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data125

Provenance
Creator	Ortega, Natalia ; Ribes, Marta ; Vidal, Marta ; Rubio, Rocío; Aguilar, Ruth; Williams, Sarah; Barrios, Diana; Alonso, Selena; Hernández Luis, Pablo ; Mitchell, Robert A.; Jairoce, Chenjerai; Cruz, Angeline; Jiménez, Alfons; Santano, Rebeca; Méndez, Susana; Lamoglia-Puig, Montserrat; Rosell, Neus; Llupià Garcia, Anna ; Puyol, Laura; Chi, Jordi; Rodrigo Melero, Natalia; Parras, Daniel; Serra, Pau; Pradenas, Edwards; Trinité, Benjamin (ORCID: 0000-0003-3809-042X); Blanco, Julià; Mayor Aparicio, Alfredo Gabriel ; Barroso, Sonia; Varela, Pilar; Vilella i Morató, Anna; Trilla García, Antoni; Santamaria, Pere ; Carolis, Carlo ; Tortajada, Marta; Izquierdo Lázaro, Luis ; Angulo Aguado, Ana ; Engel Rocamora, Pablo (ORCID: 0000-0001-8410-252X); García Basteiro, Alberto L. ; Moncunill, Gemma ; Dobaño, Carlota, 1969-
Publisher	CORA.Repositori de Dades de Recerca
Contributor	Sanz, Sergi
Publication Year	2021
Rights	CC BY 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess	true
Contact	Sanz, Sergi (ISGlobal)

Representation
Resource Type	Other; Dataset
Format	text/csv; text/tab-separated-values; type/x-r-syntax; text/plain; application/pdf
Size	3760084; 9766; 126174; 2447; 197404; 339089; 242949; 26609; 203938; 8743; 261205; 4847807; 2468408
Version	2.0
Discipline	Life Sciences; Medicine