Raw dataand scripts from "Pollination systems and nectar rewards in four Andean species of Salvia (Lamiaceae)"

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dc.conicet.datoinvestigacionid18321
dc.conicet.justificacion
dc.conicet.linkAdjuntosigeva_files/POSTULANTE/20281350243/DATO/18306/bolivian_sages-main.zip
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","tipo":"LUGAR","formato":"","latitud":"","longitud":"","puntosPoligonoList":[]}]}
dc.conicet.paisOrganizacionBolivia
dc.conicet.paisOrganizacionArgentina
dc.conicet.paisOrganizacionBolivia
dc.conicet.paisOrganizacion
dc.conicet.paisOrganizacionBolivia
dc.conicet.tituloRelacionPollination systems and nectar rewards in four Andean species of Salvia (Lamiaceae)
dc.datacite.AlternateIdentifierTypeinfo:eu-repo/semantics/altIdentifier/url/https://github.com/santiagombv/bolivian_sages
dc.datacite.CreatorSaravia-Nava, Alexandría
dc.datacite.CreatorBenitez-Vieyra, Santiago Miguel
dc.datacite.CreatorUrquizo, Omar
dc.datacite.CreatorNiemeyer, Hermann N.
dc.datacite.CreatorPinto, Carlos F.
dc.datacite.DateTypeCreado
dc.datacite.DescriptionTypeInformación Técnica
dc.datacite.FunderNameMinisterio de Ciencia, Tecnología e Innovación Productiva. Agencia Nacional de Promoción Científica y Tecnológica. Fondo para la Investigación Científica y Tecnológica
dc.datacite.FunderNameUppsala Universitet.
dc.datacite.FundingReferencePICT 2017 2196
dc.datacite.FundingReferenceBOL-01
dc.datacite.PublicationYear2024*
dc.datacite.affiliationUniversidad Mayor Real y Pontificia de San Francisco Xavier de Chuquisaca
dc.datacite.affiliationConsejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal
dc.datacite.affiliationUniversidad Mayor Real y Pontificia de San Francisco Xavier de Chuquisaca
dc.datacite.affiliationUniversidad de Chile / Facultad de Ciencias
dc.datacite.affiliationUniversidad Mayor Real y Pontificia de San Francisco Xavier de Chuquisaca
dc.datacite.awardTitleRadiación adaptativa en linajes de plantas andinas: La importancia de los polinizadores como agentes diversificadores de los rasgos florales
dc.datacite.awardTitleInternational Science Programme at Uppsala University and Latin Ameri- can Network on Bioactive Natural Products
dc.datacite.date15/03/2023
dc.datacite.descriptionThis repository includes the raw data from "Pollination systems and nectar rewards in four Andean species of Salvia (Lamiaceae)" by A. Saravia-Nava, S. Benitez-Vieyra, O. N. Urquizo, H.M Niemeyer & C. F. Pinto, alongwith an R script to replicate all the analyses. File and variable names. visitors.csv. This file contain information about flower visitors. sp. Plant species. hour. Observation time. flowers. Number of flowers observed. Amazilia chionogaster; Neocorynura_sp; Chlorostilbon_lucidus; Bombus_pauloensis; Apis_mellifera; Toxomerus_sp; Anthophora_sp1_grey; Anthophora_sp2_yellow; Anthophora_sp3_black; Centris_sp; Eucerini; Bombilidae; Vespidae. Numbers of individuals observed. effectiveness.csv. This file contains information about the number of pollen grains deposited on stigma after a single visit (a measure of pollinator effectivenss). sp. Plant species. pollinator. Pollinator species. pollen.tot. Number of pollen grains observed on a stigma after a single pollinator visit. pollen.germ. Number of germinated (empty) pollen grains observed on a stigma after a single pollinator visit. nectar_vol_con.csv. This file contains information about nectar volume, concentration and sugar content. sp. Plat species type. Samplig strategy. It distinguish between accumulated samples (acumulada) and repeated samples on the same flower (repetida). replicate. Flower ID (meaningless in repeated samples). hour. Time of nectar harvest. vol.ul. Volume in microlitres. brix. Concentration in Brix scale. conc_wv. Concentration in micrograms per microliter. sugar. Sugar content in micrograms. nectar_comp.csv. This file contain information about nectar sugar composition. sp. Plant species. fructose. Fructose present in a sample (g). glucose. Glucose present in a sample (g). sucrose. Sucrose present in a sample (g). general_script.R. This file contains all the details needed to replicate statistical analyses and graphs.
dc.datacite.languageenges
dc.datacite.publisherConsejo Nacional de Investigaciones Científicas y Técnicas*
dc.datacite.relacionRelatedIdentifierTypeDOI
dc.datacite.resourceTypeGeneraldataset*
dc.datacite.subjectEcologíaes
dc.datacite.subjectCiencias Biológicases
dc.datacite.subjectCIENCIAS NATURALES Y EXACTASes
dc.datacite.version1.0es
dc.date.accessioned2024-06-11T12:57:14Z
dc.date.available2024-06-11T12:57:14Z
dc.date.updated2024-06-11T12:15:11Z
dc.description.abstractThis repository includes the raw data from "Pollination systems and nectar rewards in four Andean species of Salvia (Lamiaceae)" by A. Saravia-Nava, S. Benitez-Vieyra, O. N. Urquizo, H.M Niemeyer & C. F. Pinto, alongwith an R script to replicate all the analyses.es
dc.description.filFil: Saravia-Nava, Alexandría. Universidad Mayor Real y Pontificia de San Francisco Xavier de Chuquisaca; Bolivia
dc.description.filFil: Benitez-Vieyra, Santiago Miguel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina
dc.description.filFil: Urquizo, Omar. Universidad Mayor Real y Pontificia de San Francisco Xavier de Chuquisaca; Bolivia
dc.description.filFil: Niemeyer, Hermann N.. Universidad de Chile / Facultad de Ciencias;
dc.description.filFil: Pinto, Carlos F.. Universidad Mayor Real y Pontificia de San Francisco Xavier de Chuquisaca; Bolivia
dc.identifier.citationSaravia-Nava, Alexandría; Benitez-Vieyra, Santiago Miguel; Urquizo, Omar; Niemeyer, Hermann N.; Pinto, Carlos F.; (2024): Raw dataand scripts from "Pollination systems and nectar rewards in four Andean species of Salvia (Lamiaceae)". Consejo Nacional de Investigaciones Científicas y Técnicas. (dataset). http://hdl.handle.net/11336/237781*
dc.identifier.institucionalCONICET
dc.identifier.repoCONICET Digital
dc.identifier.urihttp://hdl.handle.net/11336/237781
dc.relationtype.isSourceOfhttp://dx.doi.org/10.1139/cjb-2022-0091
dc.rightsinfo:eu-repo/semantics/openAccess*
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/*
dc.subject.keywordadaptationes
dc.subject.keywordbeeses
dc.subject.keywordhummingbirdses
dc.subject.keywordmost effective pollinator principlees
dc.subject.keywordnectar chemistryes
dc.subject.keywordsyrphid flieses
dc.titleRaw dataand scripts from "Pollination systems and nectar rewards in four Andean species of Salvia (Lamiaceae)"es
dc.typedataset*

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