sPlotOpen – An environmentally balanced, open-access, global dataset of vegetation plots
- Autores
- Sabatini, Francesco Maria; Lenoir, Jonathan; Hattab, Tarek; Arnst, Elise Aimee; Chytrý, Milan; Giorgis, Melisa Adriana; Vanselow, Kim André; Vásquez Martínez, Rodolfo; Vassilev, Kiril; Vélez-Martin, Eduardo; Venanzoni, Roberto; Vibrans, Alexander Christian; Violle, Cyrille; Virtanen, Risto; von Wehrden, Henrik; Wagner, Viktoria; Walker, Donald A.; Waller, Donald M.; Wang, Hua-Feng; Wesche, Karsten; Whitfeld, Timothy J. S.; Willner, Wolfgang; Wiser, Susan K.; Wohlgemuth, Thomas; Yamalov, Sergey; Zobel, Martin; Bruelheide, Helge
- Año de publicación
- 2021
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Assessing biodiversity status and trends in plant communities is critical for understanding, quantifying and predicting the effects of global change on ecosystems. Vegetation plots record the occurrence or abundance of all plant species co-occurring within delimited local areas. This allows species absences to be inferred, information seldom provided by existing global plant datasets. Although many vegetation plots have been recorded, most are not available to the global research community. A recent initiative, called ?sPlot?, compiled the first global vegetation plot database, and continues to grow and curate it. The sPlot database, however, is extremely unbalanced spatially and environmentally, and is not open-access. Here, we address both these issues by (a) resampling the vegetation plots using several environmental variables as sampling strata and (b) securing permission from data holders of 105 local-to-regional datasets to openly release data. We thus present sPlotOpen, the largest open-access dataset of vegetation plots ever released. sPlotOpen can be used to explore global diversity at the plant community level, as ground truth data in remote sensing applications, or as a baseline for biodiversity monitoring. Main types of variable contained: Vegetation plots (n = 95,104) recording cover or abundance of naturally co-occurring vascular plant species within delimited areas. sPlotOpen contains three partially overlapping resampled datasets (c. 50,000 plots each), to be used as replicates in global analyses. Besides geographical location, date, plot size, biome, elevation, slope, aspect, vegetation type, naturalness, coverage of various vegetation layers, and source dataset, plot-level data also include community-weighted means and variances of 18 plant functional traits from the TRY Plant Trait Database. Spatial location and grain: Global, 0.01?40,000 m². Time period and grain: 1888-2015, recording dates. Major taxa and level of measurement: 42,677 vascular plant taxa, plot-level records.
Fil: Sabatini, Francesco Maria. Martin-universität Halle-wittenberg; Alemania. German Centre For Integrative Biodiversity Research (idiv) Halle-jena-leipzig; Alemania
Fil: Lenoir, Jonathan. Université de Picardie Jules Verne; Francia
Fil: Hattab, Tarek. Université de Montpellier; Francia
Fil: Arnst, Elise Aimee. Manaaki Whenua - Landcare Research; Nueva Zelanda
Fil: Chytrý, Milan. Masaryk University; República Checa
Fil: Giorgis, Melisa Adriana. 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
Fil: Vanselow, Kim André. University of Erlangen-Nuremberg; Alemania
Fil: Vásquez Martínez, Rodolfo. Jardín Botánico de Missouri Oxapampa; Perú
Fil: Vassilev, Kiril. Bulgarian Academy of Sciences; Bulgaria
Fil: Vélez-Martin, Eduardo. ILEX Consultoria Científica; Brasil
Fil: Venanzoni, Roberto. University of Perugia; Italia
Fil: Vibrans, Alexander Christian. Universidade Regional de Blumenau; Brasil
Fil: Violle, Cyrille. Paul Valéry Montpellier University; Francia
Fil: Virtanen, Risto. German Centre for Integrative Biodiversity Research; Alemania
Fil: von Wehrden, Henrik. Leuphana University of Lüneburg; Alemania
Fil: Wagner, Viktoria. University of Alberta; Canadá
Fil: Walker, Donald A.. University of Alaska; Estados Unidos
Fil: Waller, Donald M.. University of Wisconsin-Madison; Estados Unidos
Fil: Wang, Hua-Feng. Hainan University; China
Fil: Wesche, Karsten. Senckenberg Museum of Natural History Görlitz; Alemania. Technische Universität Dresden; Alemania
Fil: Whitfeld, Timothy J. S.. University of Minnesota; Estados Unidos
Fil: Willner, Wolfgang. University of Vienna; Austria
Fil: Wiser, Susan K.. Manaaki Whenua. Landcare Research; Nueva Zelanda
Fil: Wohlgemuth, Thomas. Swiss Federal Institute for Forest, Snow and Landscape Research; Suiza
Fil: Yamalov, Sergey. Russian Academy of Sciences; Rusia
Fil: Zobel, Martin. University of Tartu; Estonia
Fil: Bruelheide, Helge. German Centre for Integrative Biodiversity Research; Alemania - Materia
-
BIG DATA
BIODIVERSITY
BIOGEOGRAPHY
DATABASE
FUNCTIONAL TRAITS
MACROECOLOGY
VASCULAR PLANTS
VEGETATION PLOTS - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/152426
Ver los metadatos del registro completo
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sPlotOpen – An environmentally balanced, open-access, global dataset of vegetation plotsSabatini, Francesco MariaLenoir, JonathanHattab, TarekArnst, Elise AimeeChytrý, MilanGiorgis, Melisa AdrianaVanselow, Kim AndréVásquez Martínez, RodolfoVassilev, KirilVélez-Martin, EduardoVenanzoni, RobertoVibrans, Alexander ChristianViolle, CyrilleVirtanen, Ristovon Wehrden, HenrikWagner, ViktoriaWalker, Donald A.Waller, Donald M.Wang, Hua-FengWesche, KarstenWhitfeld, Timothy J. S.Willner, WolfgangWiser, Susan K.Wohlgemuth, ThomasYamalov, SergeyZobel, MartinBruelheide, HelgeBIG DATABIODIVERSITYBIOGEOGRAPHYDATABASEFUNCTIONAL TRAITSMACROECOLOGYVASCULAR PLANTSVEGETATION PLOTShttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Assessing biodiversity status and trends in plant communities is critical for understanding, quantifying and predicting the effects of global change on ecosystems. Vegetation plots record the occurrence or abundance of all plant species co-occurring within delimited local areas. This allows species absences to be inferred, information seldom provided by existing global plant datasets. Although many vegetation plots have been recorded, most are not available to the global research community. A recent initiative, called ?sPlot?, compiled the first global vegetation plot database, and continues to grow and curate it. The sPlot database, however, is extremely unbalanced spatially and environmentally, and is not open-access. Here, we address both these issues by (a) resampling the vegetation plots using several environmental variables as sampling strata and (b) securing permission from data holders of 105 local-to-regional datasets to openly release data. We thus present sPlotOpen, the largest open-access dataset of vegetation plots ever released. sPlotOpen can be used to explore global diversity at the plant community level, as ground truth data in remote sensing applications, or as a baseline for biodiversity monitoring. Main types of variable contained: Vegetation plots (n = 95,104) recording cover or abundance of naturally co-occurring vascular plant species within delimited areas. sPlotOpen contains three partially overlapping resampled datasets (c. 50,000 plots each), to be used as replicates in global analyses. Besides geographical location, date, plot size, biome, elevation, slope, aspect, vegetation type, naturalness, coverage of various vegetation layers, and source dataset, plot-level data also include community-weighted means and variances of 18 plant functional traits from the TRY Plant Trait Database. Spatial location and grain: Global, 0.01?40,000 m². Time period and grain: 1888-2015, recording dates. Major taxa and level of measurement: 42,677 vascular plant taxa, plot-level records.Fil: Sabatini, Francesco Maria. Martin-universität Halle-wittenberg; Alemania. German Centre For Integrative Biodiversity Research (idiv) Halle-jena-leipzig; AlemaniaFil: Lenoir, Jonathan. Université de Picardie Jules Verne; FranciaFil: Hattab, Tarek. Université de Montpellier; FranciaFil: Arnst, Elise Aimee. Manaaki Whenua - Landcare Research; Nueva ZelandaFil: Chytrý, Milan. Masaryk University; República ChecaFil: Giorgis, Melisa Adriana. 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; ArgentinaFil: Vanselow, Kim André. University of Erlangen-Nuremberg; AlemaniaFil: Vásquez Martínez, Rodolfo. Jardín Botánico de Missouri Oxapampa; PerúFil: Vassilev, Kiril. Bulgarian Academy of Sciences; BulgariaFil: Vélez-Martin, Eduardo. ILEX Consultoria Científica; BrasilFil: Venanzoni, Roberto. University of Perugia; ItaliaFil: Vibrans, Alexander Christian. Universidade Regional de Blumenau; BrasilFil: Violle, Cyrille. Paul Valéry Montpellier University; FranciaFil: Virtanen, Risto. German Centre for Integrative Biodiversity Research; AlemaniaFil: von Wehrden, Henrik. Leuphana University of Lüneburg; AlemaniaFil: Wagner, Viktoria. University of Alberta; CanadáFil: Walker, Donald A.. University of Alaska; Estados UnidosFil: Waller, Donald M.. University of Wisconsin-Madison; Estados UnidosFil: Wang, Hua-Feng. Hainan University; ChinaFil: Wesche, Karsten. Senckenberg Museum of Natural History Görlitz; Alemania. Technische Universität Dresden; AlemaniaFil: Whitfeld, Timothy J. S.. University of Minnesota; Estados UnidosFil: Willner, Wolfgang. University of Vienna; AustriaFil: Wiser, Susan K.. Manaaki Whenua. Landcare Research; Nueva ZelandaFil: Wohlgemuth, Thomas. Swiss Federal Institute for Forest, Snow and Landscape Research; SuizaFil: Yamalov, Sergey. Russian Academy of Sciences; RusiaFil: Zobel, Martin. University of Tartu; EstoniaFil: Bruelheide, Helge. German Centre for Integrative Biodiversity Research; AlemaniaWiley Blackwell Publishing, Inc2021-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/152426Sabatini, Francesco Maria; Lenoir, Jonathan; Hattab, Tarek; Arnst, Elise Aimee; Chytrý, Milan; et al.; sPlotOpen – An environmentally balanced, open-access, global dataset of vegetation plots; Wiley Blackwell Publishing, Inc; Global Ecology and Biogeography; 30; 9; 9-2021; 1740-17641466-822XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/full/10.1111/geb.13346info:eu-repo/semantics/altIdentifier/doi/10.1111/geb.13346info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:04:36Zoai:ri.conicet.gov.ar:11336/152426instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:04:37.15CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
sPlotOpen – An environmentally balanced, open-access, global dataset of vegetation plots |
title |
sPlotOpen – An environmentally balanced, open-access, global dataset of vegetation plots |
spellingShingle |
sPlotOpen – An environmentally balanced, open-access, global dataset of vegetation plots Sabatini, Francesco Maria BIG DATA BIODIVERSITY BIOGEOGRAPHY DATABASE FUNCTIONAL TRAITS MACROECOLOGY VASCULAR PLANTS VEGETATION PLOTS |
title_short |
sPlotOpen – An environmentally balanced, open-access, global dataset of vegetation plots |
title_full |
sPlotOpen – An environmentally balanced, open-access, global dataset of vegetation plots |
title_fullStr |
sPlotOpen – An environmentally balanced, open-access, global dataset of vegetation plots |
title_full_unstemmed |
sPlotOpen – An environmentally balanced, open-access, global dataset of vegetation plots |
title_sort |
sPlotOpen – An environmentally balanced, open-access, global dataset of vegetation plots |
dc.creator.none.fl_str_mv |
Sabatini, Francesco Maria Lenoir, Jonathan Hattab, Tarek Arnst, Elise Aimee Chytrý, Milan Giorgis, Melisa Adriana Vanselow, Kim André Vásquez Martínez, Rodolfo Vassilev, Kiril Vélez-Martin, Eduardo Venanzoni, Roberto Vibrans, Alexander Christian Violle, Cyrille Virtanen, Risto von Wehrden, Henrik Wagner, Viktoria Walker, Donald A. Waller, Donald M. Wang, Hua-Feng Wesche, Karsten Whitfeld, Timothy J. S. Willner, Wolfgang Wiser, Susan K. Wohlgemuth, Thomas Yamalov, Sergey Zobel, Martin Bruelheide, Helge |
author |
Sabatini, Francesco Maria |
author_facet |
Sabatini, Francesco Maria Lenoir, Jonathan Hattab, Tarek Arnst, Elise Aimee Chytrý, Milan Giorgis, Melisa Adriana Vanselow, Kim André Vásquez Martínez, Rodolfo Vassilev, Kiril Vélez-Martin, Eduardo Venanzoni, Roberto Vibrans, Alexander Christian Violle, Cyrille Virtanen, Risto von Wehrden, Henrik Wagner, Viktoria Walker, Donald A. Waller, Donald M. Wang, Hua-Feng Wesche, Karsten Whitfeld, Timothy J. S. Willner, Wolfgang Wiser, Susan K. Wohlgemuth, Thomas Yamalov, Sergey Zobel, Martin Bruelheide, Helge |
author_role |
author |
author2 |
Lenoir, Jonathan Hattab, Tarek Arnst, Elise Aimee Chytrý, Milan Giorgis, Melisa Adriana Vanselow, Kim André Vásquez Martínez, Rodolfo Vassilev, Kiril Vélez-Martin, Eduardo Venanzoni, Roberto Vibrans, Alexander Christian Violle, Cyrille Virtanen, Risto von Wehrden, Henrik Wagner, Viktoria Walker, Donald A. Waller, Donald M. Wang, Hua-Feng Wesche, Karsten Whitfeld, Timothy J. S. Willner, Wolfgang Wiser, Susan K. Wohlgemuth, Thomas Yamalov, Sergey Zobel, Martin Bruelheide, Helge |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author |
dc.subject.none.fl_str_mv |
BIG DATA BIODIVERSITY BIOGEOGRAPHY DATABASE FUNCTIONAL TRAITS MACROECOLOGY VASCULAR PLANTS VEGETATION PLOTS |
topic |
BIG DATA BIODIVERSITY BIOGEOGRAPHY DATABASE FUNCTIONAL TRAITS MACROECOLOGY VASCULAR PLANTS VEGETATION PLOTS |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Assessing biodiversity status and trends in plant communities is critical for understanding, quantifying and predicting the effects of global change on ecosystems. Vegetation plots record the occurrence or abundance of all plant species co-occurring within delimited local areas. This allows species absences to be inferred, information seldom provided by existing global plant datasets. Although many vegetation plots have been recorded, most are not available to the global research community. A recent initiative, called ?sPlot?, compiled the first global vegetation plot database, and continues to grow and curate it. The sPlot database, however, is extremely unbalanced spatially and environmentally, and is not open-access. Here, we address both these issues by (a) resampling the vegetation plots using several environmental variables as sampling strata and (b) securing permission from data holders of 105 local-to-regional datasets to openly release data. We thus present sPlotOpen, the largest open-access dataset of vegetation plots ever released. sPlotOpen can be used to explore global diversity at the plant community level, as ground truth data in remote sensing applications, or as a baseline for biodiversity monitoring. Main types of variable contained: Vegetation plots (n = 95,104) recording cover or abundance of naturally co-occurring vascular plant species within delimited areas. sPlotOpen contains three partially overlapping resampled datasets (c. 50,000 plots each), to be used as replicates in global analyses. Besides geographical location, date, plot size, biome, elevation, slope, aspect, vegetation type, naturalness, coverage of various vegetation layers, and source dataset, plot-level data also include community-weighted means and variances of 18 plant functional traits from the TRY Plant Trait Database. Spatial location and grain: Global, 0.01?40,000 m². Time period and grain: 1888-2015, recording dates. Major taxa and level of measurement: 42,677 vascular plant taxa, plot-level records. Fil: Sabatini, Francesco Maria. Martin-universität Halle-wittenberg; Alemania. German Centre For Integrative Biodiversity Research (idiv) Halle-jena-leipzig; Alemania Fil: Lenoir, Jonathan. Université de Picardie Jules Verne; Francia Fil: Hattab, Tarek. Université de Montpellier; Francia Fil: Arnst, Elise Aimee. Manaaki Whenua - Landcare Research; Nueva Zelanda Fil: Chytrý, Milan. Masaryk University; República Checa Fil: Giorgis, Melisa Adriana. 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 Fil: Vanselow, Kim André. University of Erlangen-Nuremberg; Alemania Fil: Vásquez Martínez, Rodolfo. Jardín Botánico de Missouri Oxapampa; Perú Fil: Vassilev, Kiril. Bulgarian Academy of Sciences; Bulgaria Fil: Vélez-Martin, Eduardo. ILEX Consultoria Científica; Brasil Fil: Venanzoni, Roberto. University of Perugia; Italia Fil: Vibrans, Alexander Christian. Universidade Regional de Blumenau; Brasil Fil: Violle, Cyrille. Paul Valéry Montpellier University; Francia Fil: Virtanen, Risto. German Centre for Integrative Biodiversity Research; Alemania Fil: von Wehrden, Henrik. Leuphana University of Lüneburg; Alemania Fil: Wagner, Viktoria. University of Alberta; Canadá Fil: Walker, Donald A.. University of Alaska; Estados Unidos Fil: Waller, Donald M.. University of Wisconsin-Madison; Estados Unidos Fil: Wang, Hua-Feng. Hainan University; China Fil: Wesche, Karsten. Senckenberg Museum of Natural History Görlitz; Alemania. Technische Universität Dresden; Alemania Fil: Whitfeld, Timothy J. S.. University of Minnesota; Estados Unidos Fil: Willner, Wolfgang. University of Vienna; Austria Fil: Wiser, Susan K.. Manaaki Whenua. Landcare Research; Nueva Zelanda Fil: Wohlgemuth, Thomas. Swiss Federal Institute for Forest, Snow and Landscape Research; Suiza Fil: Yamalov, Sergey. Russian Academy of Sciences; Rusia Fil: Zobel, Martin. University of Tartu; Estonia Fil: Bruelheide, Helge. German Centre for Integrative Biodiversity Research; Alemania |
description |
Assessing biodiversity status and trends in plant communities is critical for understanding, quantifying and predicting the effects of global change on ecosystems. Vegetation plots record the occurrence or abundance of all plant species co-occurring within delimited local areas. This allows species absences to be inferred, information seldom provided by existing global plant datasets. Although many vegetation plots have been recorded, most are not available to the global research community. A recent initiative, called ?sPlot?, compiled the first global vegetation plot database, and continues to grow and curate it. The sPlot database, however, is extremely unbalanced spatially and environmentally, and is not open-access. Here, we address both these issues by (a) resampling the vegetation plots using several environmental variables as sampling strata and (b) securing permission from data holders of 105 local-to-regional datasets to openly release data. We thus present sPlotOpen, the largest open-access dataset of vegetation plots ever released. sPlotOpen can be used to explore global diversity at the plant community level, as ground truth data in remote sensing applications, or as a baseline for biodiversity monitoring. Main types of variable contained: Vegetation plots (n = 95,104) recording cover or abundance of naturally co-occurring vascular plant species within delimited areas. sPlotOpen contains three partially overlapping resampled datasets (c. 50,000 plots each), to be used as replicates in global analyses. Besides geographical location, date, plot size, biome, elevation, slope, aspect, vegetation type, naturalness, coverage of various vegetation layers, and source dataset, plot-level data also include community-weighted means and variances of 18 plant functional traits from the TRY Plant Trait Database. Spatial location and grain: Global, 0.01?40,000 m². Time period and grain: 1888-2015, recording dates. Major taxa and level of measurement: 42,677 vascular plant taxa, plot-level records. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-09 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/152426 Sabatini, Francesco Maria; Lenoir, Jonathan; Hattab, Tarek; Arnst, Elise Aimee; Chytrý, Milan; et al.; sPlotOpen – An environmentally balanced, open-access, global dataset of vegetation plots; Wiley Blackwell Publishing, Inc; Global Ecology and Biogeography; 30; 9; 9-2021; 1740-1764 1466-822X CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/152426 |
identifier_str_mv |
Sabatini, Francesco Maria; Lenoir, Jonathan; Hattab, Tarek; Arnst, Elise Aimee; Chytrý, Milan; et al.; sPlotOpen – An environmentally balanced, open-access, global dataset of vegetation plots; Wiley Blackwell Publishing, Inc; Global Ecology and Biogeography; 30; 9; 9-2021; 1740-1764 1466-822X CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/full/10.1111/geb.13346 info:eu-repo/semantics/altIdentifier/doi/10.1111/geb.13346 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Wiley Blackwell Publishing, Inc |
publisher.none.fl_str_mv |
Wiley Blackwell Publishing, Inc |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1842269866009034752 |
score |
13.13397 |