Browsing by Type "Controlled Vocabulary for Resource Type Genres::texto::revista::artículo::artículo de datos"
  • Institution Publication
    A dataset of acoustic measurements from soundscapes collected worldwide during the COVID-19 pandemic
    ( 2024-12-01)
    Challéat S.
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    Farrugia N.
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    Froidevaux J.S.P.
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    Froidevaux J.S.P.
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    Froidevaux J.S.P.
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    Gasc A.
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    Gasc A.
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    Pajusco N.
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    Pajusco N.
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    Zina V.
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    Puccherelli I.Z.
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    Xie S.
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    Wu Y.
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    Windsor F.M.
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    Whyte D.L.
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    Wearn O.R.
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    Watson C.J.
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    Walton W.D.J.
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    Vrignault J.D.
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    Vivat A.
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    Vinet O.
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    Villén-Pérez S.
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    Oliveras J.V.
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    Victor P.J.
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    Ventrice G.
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    Vega K.
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    Vargas Soto J.S.
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    Ullrich P.A.
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    Tuninetti A.
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    Townsend K.
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    Tovar-Garca J.D.
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    Tovar-Garca J.D.
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    Todd M.
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    Thompson M.E.
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    Templeton C.N.
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    Tattersall F.
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    Tarrant I.B.
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    Sugai L.S.M.
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    Sugai L.S.M.
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    Sugai L.S.M.
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    Sueur J.
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    Sourdril A.
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    Soto-Navarro C.
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    Sinclair P.F.
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    Simon V.
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    Silva B.M.
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    Sierra-Durán C.
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    Shepherd B.
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    Shaw T.
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    Serronha A.M.
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    Serronha A.M.
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    Segurado P.
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    Sebag M.S.
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    Scherer-Lorenzen M.
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    Schai-Braun S.C.
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    Savage D.
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    Savage D.
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    Santos J.M.
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    Sandfort R.
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    Sandfort R.
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    Sadhukhan S.
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    Sadhukhan S.
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    Ryser A.M.
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    Rouy Q.
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    Rouy Q.
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    Ross S.R.P.J.
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    Ross S.R.P.J.
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    Rosa J.
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    Roos A.L.
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    Romaine L.
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    Rodrguez-Rodrguez E.
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    Rodrguez-González P.M.
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    Rodrigues C.F.
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    Rivera V.
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    Reginster J.B.
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    Reed M.
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    Reckinger G.
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    Rasmussen R.
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    Ramos M.
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    Quiroga N.I.
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    Quinn J.E.
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    Quaglietta L.
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    Quaglietta L.
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    Puig-Montserrat X.
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    Puechmaille S.J.
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    Puechmaille S.J.
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    Prugh L.
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    Proulx R.
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    Proppe D.S.
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    Pratt V.
    ;
    Power A.
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    Poppele J.M.
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    Poff Z.
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    Pinto N.
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    Pinto N.
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    Pijanowski B.C.
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    Pijanowski B.C.
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    Philippe M.
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    Peyronnet C.
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    Barreiro S.P.
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    Pereira J.M.
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    Patankar S.
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    Parisot M.
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    Paris S.
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    Paiva V.H.
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    Owren J.O.
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    Ouertani M.
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    Ocampo D.
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    O’Mara M.T.
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    O’Mara M.T.
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    O’Mara M.T.
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    O’Connell D.P.
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    O’Connell D.P.
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    Marcaigh F.
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    Nyssen P.
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    Nyssen P.
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    Nunes J.T.
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    Newton A.C.
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    Naka L.N.
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    Murillo-Bedoya D.
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    Mueller S.
    Political responses to the COVID-19 pandemic led to changes in city soundscapes around the globe. From March to October 2020, a consortium of 261 contributors from 35 countries brought together by the Silent Cities project built a unique soundscape recordings collection to report on local acoustic changes in urban areas. We present this collection here, along with metadata including observational descriptions of the local areas from the contributors, open-source environmental data, open-source confinement levels and calculation of acoustic descriptors. We performed a technical validation of the dataset using statistical models run on a subset of manually annotated soundscapes. Results confirmed the large-scale usability of ecoacoustic indices and automatic sound event recognition in the Silent Cities soundscape collection. We expect this dataset to be useful for research in the multidisciplinary field of environmental sciences.
  • Institution Publication
    Camera trap surveys of Atlantic Forest mammals: A data set for analyses considering imperfect detection (2004–2020)
    ( 2024-05-01)
    Franceschi I.C.
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    Franceschi I.C.
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    Dornas R.A.d.P.
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    Dornas R.A.d.P.
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    Lermen I.S.
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    Lermen I.S.
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    Coelho A.V.P.
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    Vilas Boas A.H.
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    Chiarello A.G.
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    Paglia A.P.
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    de Souza A.C.
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    Borsekowsky A.R.
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    Rocha A.
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    Rocha A.
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    Bager A.
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    de Souza A.Z.
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    Lopes A.M.C.
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    de Moura A.S.
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    Ferreira A.S.
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    García-Olaechea A.
    ;
    García-Olaechea A.
    ;
    Delciellos A.C.
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    Bacellar A.E.d.F.
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    Campelo A.K.N.
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    Campelo A.K.N.
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    Paschoal A.M.O.
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    Rolim A.C.
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    da Silva A.L.F.
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    da Silva A.L.F.
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    Lanna A.M.
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    Lanna A.M.
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    da Silva A.P.
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    Guimarães A.
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    Cardoso Â.
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    Cassol A.S.
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    da Costa-Pinto A.L.
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    da Costa-Pinto A.L.
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    do Nascimento A.G.S.
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    Fernandes A.S.
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    Clyvia A.
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    Santos A.B.d.
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    Lima-Silva B.
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    Beisiegel B.d.M.
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    Beisiegel B.d.M.
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    Luciano B.F.L.
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    Luciano B.F.L.
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    Leopoldo B.d.F.
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    Krobel B.N.
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    Kubiak B.B.
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    Saranholi B.H.
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    Correa B.S.
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    Sant Anna Teixeira C.
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    Ayroza C.R.
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    Cassano C.R.
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    Benitez-Riveros C.
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    Benitez-Riveros C.
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    Gestich C.C.
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    Tedesco C.D.
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    Gheler-Costa C.
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    Gheler-Costa C.
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    Hegel C.G.Z.
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    Evangelista Junior C.d.S.
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    Evangelista Junior C.d.S.
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    Ferreira C.E.M.F.
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    Grelle C.E.V.
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    Grelle C.E.V.
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    Esteves C.F.
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    Espinosa C.d.C.
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    Leuchtenberger C.
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    Sanchéz-Lalinde C.
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    Sanchéz-Lalinde C.
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    Machado C.I.C.
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    Andreazzi C.
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    Bueno C.
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    Cronemberger de Faria C.
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    Cronemberger de Faria C.
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    Novaes C.
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    Widmer C.E.
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    Santos C.C.
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    Santos C.C.
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    Ferraz D.d.S.
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    Ferraz D.d.S.
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    Galiano D.
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    Bôlla D.A.S.
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    Behs D.
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    Rodrigues D.P.
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    de Melo D.P.
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    Ramos D.M.S.
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    de Mattia D.L.
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    Pavei D.D.
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    Loretto D.
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    Huning D.d.S.
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    Dias D.d.M.
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    Paetzhold É.R.
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    Paetzhold É.R.
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    Rios E.
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    Setz E.Z.F.
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    Cazetta E.
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    Cafofo Silva E.G.
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    Pasa E.
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    Saito E.N.
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    Saito E.N.
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    de Aguiar E.F.S.
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    Castro É.P.
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    Castro É.P.
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    Viveiros de Castro E.B.
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    Viveiros de Castro E.B.
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    Pedó E.
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    Pedó E.
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    Pereira F.d.A.
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    Pereira F.d.A.
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    Bolzan F.
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    Bolzan F.
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    Roque F.d.O.
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    Mazim F.D.
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    Comin F.H.
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    Comin F.H.
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    Maffei F.
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    Peters F.B.
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    Fantacini F.M.
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    Fantacini F.M.
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    da Silva F.P.
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    da Silva F.P.
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    Machado F.S.
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    Machado F.S.
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    Machado F.S.
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    Machado F.S.
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    Vélez-Garcia F.
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    Vélez-Garcia F.
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    Lage F.S.D.
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    Perini F.A.
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    Passos F.C.
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    Carvalho F.
    ;
    Carvalho F.
    Camera traps became the main observational method of a myriad of species over large areas. Data sets from camera traps can be used to describe the patterns and monitor the occupancy, abundance, and richness of wildlife, essential information for conservation in times of rapid climate and land-cover changes. Habitat loss and poaching are responsible for historical population losses of mammals in the Atlantic Forest biodiversity hotspot, especially for medium to large-sized species. Here we present a data set from camera trap surveys of medium to large-sized native mammals (>1 kg) across the Atlantic Forest. We compiled data from 5380 ground-level camera trap deployments in 3046 locations, from 2004 to 2020, resulting in 43,068 records of 58 species. These data add to existing data sets of mammals in the Atlantic Forest by including dates of camera operation needed for analyses dealing with imperfect detection. We also included, when available, information on important predictors of detection, namely the camera brand and model, use of bait, and obstruction of camera viewshed that can be measured from example pictures at each camera location. Besides its application in studies on the patterns and mechanisms behind occupancy, relative abundance, richness, and detection, the data set presented here can be used to study species' daily activity patterns, activity levels, and spatiotemporal interactions between species. Moreover, data can be used combined with other data sources in the multiple and expanding uses of integrated population modeling. An R script is available to view summaries of the data set. We expect that this data set will be used to advance the knowledge of mammal assemblages and to inform evidence-based solutions for the conservation of the Atlantic Forest. The data are not copyright restricted; please cite this paper when using the data.
  • Institution Publication
    Characterization of the complete mitogenome data of collared peccary, Dicotyles tajacu (Linnaeus, 1758) (Suina: Tayassuidae) from Ucayali, Peru
    ( 2024-12-01)
    Chávez-Galarza J.C.
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    Arévalo-Rojas V.M.
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    Livia G.L.G.
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    Ferro-Mauricio R.D.
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    Vecco D.
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    Vecco D.
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    Cerna-Mendoza A.
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    Guerra-Teixeira A.A.
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    Henriques D.
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    Domínguez F.F.
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    Macedo-Córdova W.
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    Llanto-López M.A.
    The collared peccary (Dicotyles tajacu Linnaeus, 1758) is a vital resource for the subsistence and economy of the Amazonian inhabitants. Despite its importance, there is a notable lack of genetic information on Peruvian collared peccary populations. This study presents the complete mitogenome of D. tajacu from Peru, obtained by Illumina sequencing. The mitochondrial genome spans 16,836 bp and has a nucleotide composition of 34.2 % A, 25.5 % T, 13.5 % G, and 26.8 % C, with a GC content of 40.3 %. The genome includes 13 protein-coding genes, 22 tRNA genes, two rRNA genes, and one control region. Phylogenetic analysis of protein-coding genes indicates that Peruvian D. tajacu is most closely related to Bolivian D. tajacu within the family Tayassuidae. The annotated mitogenome of Peruvian D. tajacu provides valuable genomic data for evolutionary research and will serve in conservation and management strategies for the species.
  • Institution Publication
    CloudSEN12+: The largest dataset of expert-labeled pixels for cloud and cloud shadow detection in Sentinel-2
    ( 2024-10-01)
    Aybar C.
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    Aybar C.
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    Aybar C.
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    Bautista L.
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    Bautista L.
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    Montero D.
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    Montero D.
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    Contreras J.
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    Contreras J.
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    Ayala D.
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    Prudencio F.
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    Prudencio F.
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    Loja J.
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    Ysuhuaylas L.
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    Herrera F.
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    Gonzales K.
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    Valladares J.
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    Flores L.A.
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    Mamani E.
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    Quiñonez M.
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    Fajardo R.
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    Espinoza W.
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    Limas A.
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    Yali R.
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    Alcántara A.
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    Leyva M.
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    Leyva M.
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    Loayza-Muro R.
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    Loayza-Muro R.
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    Willems B.
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    Willems B.
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    Mateo-García G.
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    Gómez-Chova L.
    Detecting and screening clouds is the first step in most optical remote sensing analyses. Cloud formation is diverse, presenting many shapes, thicknesses, and altitudes. This variety poses a significant challenge to the development of effective cloud detection algorithms, as most datasets lack an unbiased representation. To address this issue, we have built CloudSEN12+, a significant expansion of the CloudSEN12 dataset. This new dataset doubles the expert-labeled annotations, making it the largest cloud and cloud shadow detection dataset for Sentinel-2 imagery up to date. We have carefully reviewed and refined our previous annotations to ensure maximum trustworthiness. We expect CloudSEN12+ will be a valuable resource for the cloud detection research community.
  • Institution Publication
    Complete genome sequence data of two Salmonella enterica subsp. enterica serovar Gallinarum: A 9R vaccine strain and a virulent Brazilian field strain
    ( 2023-04-01)
    Chacón R.D.
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    Chacón R.D.
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    Chacón J.L.
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    Ramírez M.
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    Cueva C.L.R.
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    Quispe-Rojas W.U.
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    Reyes-Moreno C.B.
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    Astolfi-Ferreira C.S.
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    Ferreira A.J.P.
    Salmonella Gallinarum (SG) is a host-restricted enterobacteria and the causative agent of fowl typhoid in poultry. Here, we report the complete genomes of two strains belonging to this serotype. SA68 is a field strain isolated from the livers of dead hen carcasses of a commercial layer farm presenting high mortality located in São Paulo city, Brazil, in 1990. Strain 9R corresponds to a live attenuated SG commercial vaccine. DNA was extracted from pure cultures and subjected to whole genome sequencing (WGS) using the Ion Torrent PGM System. The assemblies reached lengths of 4,657,435 (SA68) and 4,657,471 (9R) base pairs. Complete genomes were deposited in GenBank under the accession numbers CP110192 (SA68) and CP110508 (9R). Both genomes were analyzed and compared in terms of molecular typing, antibiotic resistance genes, virulence genes, Salmonella pathogenic islands (SPIs), insertion sequences and prophages. The data obtained show many similarities in the genetic content, with the exception of the SPI-12 and CS54 pathogenic islands, which are exclusive to the field strain. The information generated will help to understand the virulence differences of field and vaccinal SG strains and can be used to perform evolutionary and epidemiologic studies.
  • Institution Publication
    Forecasted datasets of electric vehicle consumption on the electricity grid of Spain
    ( 2020-08-01)
    Cama-Pinto D.
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    Martínez-Lao J.A.
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    Solano-Escorcia A.F.
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    Cama-Pinto A.
    The information included in this study were calculated on the basis of data provided by the Spanish electricity grid, for thirteen years between 2007 and 2019. This data includes: the average consumption demand on the Spanish electricity grid at national level, and its availability. Subsequently, the report looks at the number of electric vehicles that could be supported in the years 2020–2023, depending on the consumption demand and availably of the electricity grid for those future years. The data presented in the article refers to the research study: ‘Electric vehicles in Spain: An overview of charging systems’[1] and ‘Analysis of charging stations for electric vehicles in Spain’ [2].
  • Institution Publication
    Health risk assessment of heavy metals (Hg, Pb, Cd, Cr and As) via consumption of vegetables cultured in agricultural sites in Arequipa, Peru
    ( 2021-06-01)
    Quispe N.
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    Zanabria D.
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    Chavez E.
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    Cuadros F.
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    Carling G.
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    Paredes B.
    Vegetable consumption may represent a pathway of metal toxicity for humans. In this study, the presence of ecotoxic elements in vegetables from Arequipa, Peru and its toxicity risks was investigated. Samples of peppermint (Mentha sativa), coriander (Mentha spicata L.), garlic (Allium sativum), and leek (Allium ampeloprasum var. Porrum) were collected monthly from October 2018 through February 2019 and analyzed for As, Cd, Cr, Hg, and Pb concentrations by ICP-MS. In relation to international regulations, Cr in coriander (0.144 mg kg−1) exceeded Brazilian regulations of 0.1 mg kg−1 and Pb in peppermint (0.189 mg kg−1) exceeded Australian regulations of 0.1 mg kg−1. The Hazard Quotient and Hazard Index did not reveal potential risk to human health. However, the carcinogenic risk of As in leek, peppermint, and coriander was high for adults and children. These results suggest these vegetables in Arequipa, are safe for human consumption with potential risks associated.
  • Institution Publication
    High-resolution climate projection dataset based on CMIP6 for Peru and Ecuador: BASD-CMIP6-PE
    ( 2024-12-01)
    Fernandez-Palomino C.A.
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    Fernandez-Palomino C.A.
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    Hattermann F.F.
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    Krysanova V.
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    Vega-Jácome F.
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    Menz C.
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    Gleixner S.
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    Bronstert A.
    Here, we present BASD-CMIP6-PE, a high-resolution (1d, 10 km) climate dataset for Peru and Ecuador based on the bias-adjusted and statistically downscaled CMIP6 climate projections of 10 GCMs. This dataset includes both historical simulations (1850–2014) and future projections (2015–2100) for precipitation and minimum, mean, and maximum temperature under three Shared Socioeconomic Pathways (SSP1-2.6, SSP3-7.0, and SSP5-8.5). The BASD-CMIP6-PE climate data were generated using the trend-preserving Bias Adjustment and Statistical Downscaling (BASD) method. The BASD performance was evaluated using observational data and through hydrological modeling across Peruvian and Ecuadorian river basins in the historical period. Results demonstrated that BASD significantly reduced biases between CMIP6-GCM simulations and observational data, enhancing long-term statistical representations, including mean and extreme values, and seasonal patterns. Furthermore, the hydrological evaluation highlighted the appropriateness of adjusted GCM simulations for simulating streamflow, including mean, low, and high flows. These findings underscore the reliability of BASD-CMIP6-PE in assessing regional climate change impacts on agriculture, water resources, and hydrological extremes.
  • Institution Publication
    Household survey data of adoption of improved varieties and management practices in rice production, Ecuador
    ( 2018-06-01)
    Marin D.
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    Orrego-Varon M.
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    Yanez F.
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    Mendoza L.
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    Garcia M.A.
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    Twyman J.
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    Andrade R.
    ;
    Labarta R.
    This article provides a description of an agricultural household survey data of rice growers collected in Ecuador between October 2014 and March 2015. The household survey was implemented using a structured questionnaire administered among 1028 households in the main rice production areas of Ecuador (i.e. Guayas, Los Rios, Manabi, and El Oro provinces). Information collected was provided by household heads (male or female) and included household and plot level data. The survey information includes household socio-demographic characteristics (e.g. age, education, gender, main economic activity, etc.), farm characteristics (e.g. farm land size, assets ownership, other crops planted, etc.), rice management practices (e.g. variety and input use, production costs, etc.), and rice production and utilization (e.g. yields, prices, sales, etc.). Additional socio-economic context variables were also recorded such as government subsidies to rice production, participation in rural organizations, and food security related questions. The dataset contains a total of 6288 variables among numeric, categorical and string variables. The dataset is shared publicly on the Harvard dataverse site and provide access to questionnaires, the complete data and a brief report.
  • Institution Publication
    Household survey data of adoption of improved varieties and management practices in rice production, Ecuador
    ( 2018-06-01)
    Marin D.
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    Orrego-Varon M.
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    Yanez F.
    ;
    Mendoza L.
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    Garcia M.A.
    ;
    Twyman J.
    ;
    Andrade R.
    ;
    Labarta R.
    This article provides a description of an agricultural household survey data of rice growers collected in Ecuador between October 2014 and March 2015. The household survey was implemented using a structured questionnaire administered among 1028 households in the main rice production areas of Ecuador (i.e. Guayas, Los Rios, Manabi, and El Oro provinces). Information collected was provided by household heads (male or female) and included household and plot level data. The survey information includes household socio-demographic characteristics (e.g. age, education, gender, main economic activity, etc.), farm characteristics (e.g. farm land size, assets ownership, other crops planted, etc.), rice management practices (e.g. variety and input use, production costs, etc.), and rice production and utilization (e.g. yields, prices, sales, etc.). Additional socio-economic context variables were also recorded such as government subsidies to rice production, participation in rural organizations, and food security related questions. The dataset contains a total of 6288 variables among numeric, categorical and string variables. The dataset is shared publicly on the Harvard dataverse site and provide access to questionnaires, the complete data and a brief report.
  • Institution Publication
    PeruFoodNet: A unique dataset of traditional peruvian food for image recognition systems and allergenic ingredient inference
    ( 2025-06-01)
    Arzola Gutierrez M.F.
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    Canchari Muñoz E.A.
    ;
    Escobedo Cárdenas E.J.
    Peruvian cuisine has won numerous international awards, attracting tourists from around the world to Peru to experience its diverse culinary offerings. However, some dishes contain ingredients that can trigger allergic reactions, posing a potential health risk for visitors. To address this, we created PeruFoodNet, a dataset featuring 4,000 images of traditional Peruvian dishes. The dataset includes 40 of the most popular dishes, such as Ceviche and Anticuchos, with 100 images of each dish. The images of the dishes have been captured from various angles, settings, lighting conditions, dimensions and backgrounds. To gather these images, we prepared the dishes ourselves, purchased some from restaurants, and received contributions from external users over a two-month period. However, most of the images were captured by the authors of the dataset. The dataset is publicly available and can be valuable for research in image recognition and classification using Computer Science techniques, such as Deep Learning. Additionally, it can aid in identifying allergenic ingredients in dishes by linking the dish's image to a list of ingredients through a technological platform, such as a chatbot or an app.
  • Institution Publication
    South American Archaeological Isotopic Database, a regional-scale multi-isotope data compendium for research
    ( 2024-12-01)
    Pezo-Lanfranco L.
    ;
    Pezo-Lanfranco L.
    ;
    Mut P.
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    Chávez J.
    ;
    Chávez J.
    ;
    Fossile T.
    ;
    Fossile T.
    ;
    Colonese A.C.
    ;
    Colonese A.C.
    ;
    Fernandes R.
    ;
    Fernandes R.
    ;
    Fernandes R.
    ;
    Fernandes R.
    The South American Archaeological Isotopic Database (SAAID) is a comprehensive open-access resource that aggregates all available bioarchaeological stable and radiogenic isotope measurements, encompassing data from human individuals, animals, and plants across South America. Resulting from a collaborative effort of scholars who work with stable isotopes in this region, SAAID contains 53,781 isotopic measurements across 24,507 entries from individuals/specimens spanning over 12,000 years. SAAID includes valuable contextual information on archaeological samples and respective sites, such as chronology, geographical region, biome, and spatial coordinates, biological details like estimated sex and age for human individuals, and taxonomic description for fauna and flora. SAAID is hosted at the PACHAMAMA community within the Pandora data platform and the CORA repository to facilitate easy access. Because of its rich data structure, SAAID is particularly well-suited for conducting spatiotemporal meta-analyses. It serves as a valuable tool for addressing a variety of research topics, including the spread, adoption, and consumption intensification of food items, paleo-environmental reconstruction, as well as the exploration of mobility patterns across extensive geographic regions.
  • Institution Publication
    The global spectrum of plant form and function: enhanced species-level trait dataset
    ( 2022-12-01)
    Díaz S.
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    Díaz S.
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    Kattge J.
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    Kattge J.
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    Cornelissen J.H.C.
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    Wright I.J.
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    Wright I.J.
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    Lavorel S.
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    Dray S.
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    Reu B.
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    Kleyer M.
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    Wirth C.
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    Wirth C.
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    Wirth C.
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    Prentice I.C.
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    Prentice I.C.
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    Prentice I.C.
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    Garnier E.
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    Bönisch G.
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    Westoby M.
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    Poorter H.
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    Poorter H.
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    Reich P.B.
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    Reich P.B.
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    Reich P.B.
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    Moles A.T.
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    Dickie J.
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    Zanne A.E.
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    Zanne A.E.
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    Chave J.
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    Wright S.J.
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    Sheremetiev S.N.
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    Jactel H.
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    Baraloto C.
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    Cerabolini B.E.L.
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    Pierce S.
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    Shipley B.
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    Casanoves F.
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    Joswig J.S.
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    Joswig J.S.
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    Günther A.
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    Falczuk V.
    ;
    Falczuk V.
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    Rüger N.
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    Rüger N.
    ;
    Rüger N.
    ;
    Mahecha M.D.
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    Mahecha M.D.
    ;
    Gorné L.D.
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    Amiaud B.
    ;
    Atkin O.K.
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    Bahn M.
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    Baldocchi D.
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    Beckmann M.
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    Blonder B.
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    Blonder B.
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    Bond W.
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    Bond W.
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    Bond-Lamberty B.
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    Brown K.
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    Burrascano S.
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    Byun C.
    ;
    Campetella G.
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    Cavender-Bares J.
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    Chapin F.S.
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    Choat B.
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    Coomes D.A.
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    Cornwell W.K.
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    Craine J.
    ;
    Craven D.
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    Dainese M.
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    de Araujo A.C.
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    de Vries F.T.
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    Domingues T.F.
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    Enquist B.J.
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    Enquist B.J.
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    Fagúndez J.
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    Fang J.
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    Fernández-Méndez F.
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    Fernández-Méndez F.
    ;
    Fernandez-Piedade M.T.
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    Ford H.
    ;
    Forey E.
    ;
    Freschet G.T.
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    Gachet S.
    ;
    Gallagher R.
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    Green W.
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    Guerin G.R.
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    Gutiérrez A.G.
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    Gutiérrez A.G.
    ;
    Harrison S.P.
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    Hattingh W.N.
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    He T.
    ;
    He T.
    ;
    Hickler T.
    ;
    Hickler T.
    ;
    Higgins S.I.
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    Higuchi P.
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    Ilic J.
    ;
    Ilic J.
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    Jackson R.B.
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    Jalili A.
    ;
    Jansen S.
    ;
    Koike F.
    ;
    König C.
    ;
    König C.
    ;
    Kraft N.
    ;
    Kramer K.
    ;
    Kramer K.
    ;
    Kreft H.
    ;
    Kreft H.
    ;
    Kühn I.
    ;
    Kühn I.
    ;
    Kühn I.
    ;
    Kurokawa H.
    ;
    Lamb E.G.
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    Laughlin D.C.
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    Leishman M.
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    Lewis S.
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    Louault F.
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    Malhado A.C.M.
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    Manning P.
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    Manning P.
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    Meir P.
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    Meir P.
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    Mencuccini M.
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    Mencuccini M.
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    Messier J.
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    Miller R.
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    Minden V.
    ;
    Minden V.
    ;
    Molofsky J.
    ;
    Montgomery R.
    Here we provide the ‘Global Spectrum of Plant Form and Function Dataset’, containing species mean values for six vascular plant traits. Together, these traits –plant height, stem specific density, leaf area, leaf mass per area, leaf nitrogen content per dry mass, and diaspore (seed or spore) mass – define the primary axes of variation in plant form and function. The dataset is based on ca. 1 million trait records received via the TRY database (representing ca. 2,500 original publications) and additional unpublished data. It provides 92,159 species mean values for the six traits, covering 46,047 species. The data are complemented by higher-level taxonomic classification and six categorical traits (woodiness, growth form, succulence, adaptation to terrestrial or aquatic habitats, nutrition type and leaf type). Data quality management is based on a probabilistic approach combined with comprehensive validation against expert knowledge and external information. Intense data acquisition and thorough quality control produced the largest and, to our knowledge, most accurate compilation of empirically observed vascular plant species mean traits to date.