Resultados totales (Incluyendo duplicados): 33166
Encontrada(s) 3317 página(s)
Encontrada(s) 3317 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/295372
Dataset. 2023
MYCORRHIZAL TYPES ASSOCIATED WITH MEDITERRANEAN WOODY PLANT SPECIES ACROSS THE ANDALUSIAN RED NATURA 2000
- Bastida, Jesús M.
- Prieto-Rubio, Jorge
- Dejana, Laura
- Lendínez Contreras, Sandra
- Perea, Antonio J.
- Ramírez Serrano, Beatriz
- Alcántara, Julio M.
- Verdú, Miguel
- Montesinos-Navarro, Alicia
- Garrido Sánchez, José Luis
[Description of methods used for collection/generation of data] We use available information from mycorrhizal databases to assign mycorrhizal type and status to our sampled plant species. Two databases were reviewed, Bueno et al. (2017) and FungalRoot (2020). Bueno et al. has info at the species level, while FungalRoot has multiple observations per species. For this reason, a species was assigned to a particular mycorrhizal type, whether the number of observations was equal or higher than 70 %, otherwise we assigned multiple associations. In the case of species that did not match with both databases, mycorrhizal type was assigned based on information at the genus, tribe or family level. Once each species was classified to a particular mycorrhizal type, we followed to assign their status.
References:
- Soudzilovskaia, N. A., Vaessen, S., Barcelo, M., He, J., Rahimlou, S., Abarenkov, K., ... & Tedersoo, L. (2020). FungalRoot: global online database of plant mycorrhizal associations. New Phytologist, 227(3), 955-966.
- Bueno, C. G., Moora, M., Gerz, M., Davison, J., Öpik, M., Pärtel, M., ... & Zobel, M. (2017). Plant mycorrhizal status, but not type, shifts with latitude and elevation in Europe. Global Ecology and Biogeography, 26(6), 690-699., Our aim was to register and characterize, throughout bibliographic review of published databases, the mycorrhizal type (AM, ECM, ERM, NM, AM+NM, ECM+NM,ERM+NM, ECM+AM+NM) and status (OM, FM, NM) of Mediterranean woody plant species sampled across the Andalusian Red Natura 2000. Here, we included a total of 243 plant species sampled across 38 plant communities from 19 protected areas distributed within the Andalusian RedNatura 2000., This work was funded (1) by Proyecto FEDER SUMHAL-Sustainability for Mediterraean Hospost in Andalusia integrating LifeWatch ERIC [Work Package 5. Task 5.1.2. Development of the data standard. Repository development.] (LifeWatch ERIC – FEDER, POPE 2014-2020; Ministerio de Ciencia e Innovación, Spain); (2) Proyecto COEXMED I: Coexistence of woody plants in Mediterranena forests: intransitive interactions and negative density dependence in recruitment dynamics (CGL2012-36776, FEDER y Ministerio de Economia y Competitividad, Spain); (3) Proyecto COEXMED II: Especificidad de las interacciones adulto-juvenil durante el reclutamiento de plantas leñosas: complementariedad de caracteres funcionales e interacciones plant-antagonista (CGL2015-69118-C2-1-P, FEDER y Ministerio de Economia y Competitividad, Spain); (4) Proyecto REPNETS-Redes de reemplazamiento en bosques: variación ecogeográfica e influencia de las comunidades de hongos de la filosfera y de las interacciones planta-suelo (PGC2018-100966-B-I00, FEDER - Agencia Estatal de Investigación, Ministerio de Ciencia e Innovación, Spain); (5) CSIC is acknowledged for supporting Open Access publication., Mediterranean_woody_plants_mycorrhizal_type-status.csv [shows the list of woody plant species sampled across the Andalusian Red Natura 2000 with their respective assignment of mycorrhizal type and status based on 'Mycorrhizal_type_Bueno.csv' and 'Mycorrhizal_type_FungalRoot.csv'] Mycorrhizal_type_Bueno.csv [has proccessed information about plant species mycorrhizal type from Bueno et al. (2017)] Mycorrhizal_type_FungalRoot.csv [has proccessed information about plant species mycorrhizal type from FungalRoot (2020)] Plant_taxonomic_info.csv [shows the list of woody plant species with their taxonomic adscription Class/Order/Family/Genus] Plant_community_info.csv [has information about sampled plant communities] Metadata.csv [records information about the meaning of columns in 'Mediterranean_woody_plants_mycorrhizal_type-status.csv', 'Mycorrhizal_type_Bueno.csv', 'Mycorrhizal_type_FungalRoot.csv', 'Plant_taxonomic_info.csv', and 'Plant_community_info.csv ' files], Peer reviewed
DOI: http://hdl.handle.net/10261/295372, https://doi.org/10.20350/digitalCSIC/15137
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/295372
HANDLE: http://hdl.handle.net/10261/295372, https://doi.org/10.20350/digitalCSIC/15137
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/295372
PMID: http://hdl.handle.net/10261/295372, https://doi.org/10.20350/digitalCSIC/15137
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/295372
Ver en: http://hdl.handle.net/10261/295372, https://doi.org/10.20350/digitalCSIC/15137
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/295372
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305750
Dataset. 2023
RECOGIDA DE DATOS DE CUANTIFICACIÓN DE LÍPIDOS SEGÚN FAMILIAS DE COMPUESTOS
- San Emeterio, Layla M.
- González-Pérez, José Antonio
- López Núñez, Rafael
Formato Excel con distintas hojas, cada una de ellas correspondiente a un grupo de compuestos, Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/305750, https://doi.org/10.20350/digitalCSIC/15194
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305750
HANDLE: http://hdl.handle.net/10261/305750, https://doi.org/10.20350/digitalCSIC/15194
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305750
PMID: http://hdl.handle.net/10261/305750, https://doi.org/10.20350/digitalCSIC/15194
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305750
Ver en: http://hdl.handle.net/10261/305750, https://doi.org/10.20350/digitalCSIC/15194
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305750
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/295630
Dataset. 2023
RELATIONSHIP BETWEEN TELOMERE LENGTH AND EARLY GLUTATHIONE LEVELS IN THE ERYTHROCYTES OF ZEBRA FINCHES
- Romero-Haro, Ana A.
- Figuerola, Jordi
- Alonso-Álvarez, Carlos
Financial support was obtained from projects CGL-2009-10883-C02-02, CGL2012-40229-C02-01 and CGL2015-69338-C2-2-P and PID2019-109303GB-I00 from Ministerio de Economía y Competitividad, MINECO, Spanish Government., Peer reviewed
DOI: http://hdl.handle.net/10261/295630, https://doi.org/10.20350/digitalCSIC/15140
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/295630
HANDLE: http://hdl.handle.net/10261/295630, https://doi.org/10.20350/digitalCSIC/15140
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/295630
PMID: http://hdl.handle.net/10261/295630, https://doi.org/10.20350/digitalCSIC/15140
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/295630
Ver en: http://hdl.handle.net/10261/295630, https://doi.org/10.20350/digitalCSIC/15140
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/295630
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296050
Dataset. 2023
CHECKLIST OF THE VASCULAR PLANTS OF RÍO MUNI (EQUATORIAL GUINEA)
- Velayos, Guillermo
- Barberá, Patricia
- Cabezas, Francisco J.
- Fero, Maximiliano
- Velayos, Mauricio
Dataset of the Checklist of the Vascular Plants of Río Muni (Equatorial Guinea), An updated checklist of the vascular plants from the continental region of Equatorial Guinea, Río Muni is presented. The catalogue (Appendix 1) is the result of the compilation of identified herbarium specimens (6850), bibliographic references with species records (7985) and online databases (10109 GBIF records and 8897 RAINBIO records). A database of 23517 georeferenced vascular plant records was prepared by updating the nomenclatural and standardizing the locality names from all these sources. The catalogue comprises 2707 taxa (2598 species, 81 subspecies, and 28 varieties) included in 1020 genera and 178 families. About 90.6% of the taxa are considered native, 1.17% introduced and 5.96% naturalized. The 10 most diverse families are Rubiaceae (294 species), Fabaceae (290), Orchidaceae (168), Poaceae (105), Euphorbiaceae (87), Apocynaceae (85), Cyperaceae (79), Annonaceae (68), Acanthaceae (65 ) and Melastomataceae (61), which comprise 49.22% of the species in Río Muni. Only 11 species can be considered endemic to Río Muni; this low number reflects the absence of natural barriers in the territory. The number of threatened taxa (VU, EN and CR) is 134 (5.02% of the total evaluated), of which 43 are at risk of extinction, being within the categories of Endangered or Critically Endangered. Five species with restricted distribution to the Gulf of Guinea are considered threatened: three Endangered (Grossera angustifolia, Polyscias aequatoguineensis and Rhipidoglossum montealenense), and two Critically Endangered (Asplenium carvalhoanum and Macropodiella uoroensis), thus they should be considered as priority in management plans development and conservation strategies., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/296050, https://doi.org/10.20350/digitalCSIC/15141
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296050
HANDLE: http://hdl.handle.net/10261/296050, https://doi.org/10.20350/digitalCSIC/15141
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296050
PMID: http://hdl.handle.net/10261/296050, https://doi.org/10.20350/digitalCSIC/15141
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296050
Ver en: http://hdl.handle.net/10261/296050, https://doi.org/10.20350/digitalCSIC/15141
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296050
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296055
Dataset. 2023
LOCALITIES OF RÍO MUNI WITH GEOGRAPHIC COORDINATES
- Velayos, Guillermo
- Barberá, Patricia
- Cabezas, Francisco J.
- Fero, Maximiliano
- Velayos, Mauricio
Dataset of the Localities of Río Muni with geographic coordinates, An updated checklist of the vascular plants from the continental region of Equatorial Guinea, Río Muni is presented. The catalogue (Appendix 1) is the result of the compilation of identified herbarium specimens (6850), bibliographic references with species records (7985) and online databases (10109 GBIF records and 8897 RAINBIO records). A database of 23517 georeferenced vascular plant records was prepared by updating the nomenclatural and standardizing the locality names from all these sources. The catalogue comprises 2707 taxa (2598 species, 81 subspecies, and 28 varieties) included in 1020 genera and 178 families. About 90.6% of the taxa are considered native, 1.17% introduced and 5.96% naturalized. The 10 most diverse families are Rubiaceae (294 species), Fabaceae (290), Orchidaceae (168), Poaceae (105), Euphorbiaceae (87), Apocynaceae (85), Cyperaceae (79), Annonaceae (68), Acanthaceae (65 ) and Melastomataceae (61), which comprise 49.22% of the species in Río Muni. Only 11 species can be considered endemic to Río Muni; this low number reflects the absence of natural barriers in the territory. The number of threatened taxa (VU, EN and CR) is 134 (5.02% of the total evaluated), of which 43 are at risk of extinction, being within the categories of Endangered or Critically Endangered. Five species with restricted distribution to the Gulf of Guinea are considered threatened: three Endangered (Grossera angustifolia, Polyscias aequatoguineensis and Rhipidoglossum montealenense), and two Critically Endangered (Asplenium carvalhoanum and Macropodiella uoroensis), thus they should be considered as priority in management plans development and conservation strategies., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/296055, https://doi.org/10.20350/digitalCSIC/15142
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296055
HANDLE: http://hdl.handle.net/10261/296055, https://doi.org/10.20350/digitalCSIC/15142
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296055
PMID: http://hdl.handle.net/10261/296055, https://doi.org/10.20350/digitalCSIC/15142
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296055
Ver en: http://hdl.handle.net/10261/296055, https://doi.org/10.20350/digitalCSIC/15142
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296055
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296443
Dataset. 2023
LOS TWEETS DE @DIGITALCSIC EN 2022
- Román-Molina, Juan
- Oficina Técnica de DIGITAL.CSIC
Los datos se extrajeron de Twitter Analytics al finalizar cada mes del 2022. Se descargaron los ficheros con los datos por meses en csv y se compilaron en un fichero Excel con 12 hojas., Documento que contiene los tweets publicados por @DigitalCSIC en 2022., No
Proyecto: //
DOI: http://hdl.handle.net/10261/296443, https://doi.org/10.20350/digitalCSIC/15143
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296443
HANDLE: http://hdl.handle.net/10261/296443, https://doi.org/10.20350/digitalCSIC/15143
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296443
PMID: http://hdl.handle.net/10261/296443, https://doi.org/10.20350/digitalCSIC/15143
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296443
Ver en: http://hdl.handle.net/10261/296443, https://doi.org/10.20350/digitalCSIC/15143
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296443
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296693
Dataset. 2023
LOS TWEETS DE @BIBLIOTECASCSIC EN 2022
- Unidad de Recursos de Información Científica para la Investigación (URICI)
Los datos se extrajeron de Twitter Analytics al finalizar cada mes del 2022. Se descargaron los ficheros con los datos por meses en csv y se compilaron en un fichero Excel con 12 hojas., Documento que contiene los tweets publicados en 2022., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/296693, https://doi.org/10.20350/digitalCSIC/15146
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296693
HANDLE: http://hdl.handle.net/10261/296693, https://doi.org/10.20350/digitalCSIC/15146
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296693
PMID: http://hdl.handle.net/10261/296693, https://doi.org/10.20350/digitalCSIC/15146
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296693
Ver en: http://hdl.handle.net/10261/296693, https://doi.org/10.20350/digitalCSIC/15146
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296693
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296912
Dataset. 2023
STRAUSS WAVE PARAMETERS OBTAINED FROM RBR DUET3, ATLANTIC OCEAN - RÍA DE VIGO - CIES SUR (NW IBERIA) - OCT. 2021 - JAN. 2022
- Martínez Fernández, Adrián
- Villacieros-Robineau, Nicolás
- Gilcoto, Miguel
This item is made of 2 files: the dataset in netcdf format, a Readme.txt file including a small description of the computed variables, and 1 figure showing the instrument used, Wave parameters obtained from RBR Duet in Cies Sur from October 2021 to January 2022 under the framework of the STRAUSS project in order to evaluate the effects of ocean waves in selected biological case studies of the Rías Baixas Upwelling System, Funding for this deployment was provided by Project 𝐏𝐈𝐃𝟐𝟎𝟏𝟗-𝟏𝟎𝟔𝟎𝟎𝟖𝐑𝐁-𝐂𝟐𝟏, funded by MCIN/AEI/10.13039/501100011033 in the R&D Projects “Research Challenges” modality, Peer reviewed
DOI: http://hdl.handle.net/10261/296912, https://doi.org/10.20350/digitalCSIC/15151
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296912
HANDLE: http://hdl.handle.net/10261/296912, https://doi.org/10.20350/digitalCSIC/15151
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296912
PMID: http://hdl.handle.net/10261/296912, https://doi.org/10.20350/digitalCSIC/15151
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296912
Ver en: http://hdl.handle.net/10261/296912, https://doi.org/10.20350/digitalCSIC/15151
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296912
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296922
Dataset. 2023
STRAUSS WAVE PARAMETERS OBTAINED FROM RBR DUET3, ATLANTIC OCEAN - RÍA DE VIGO – CABO DO MAR (NW IBERIA) - NOV. 2020 - JAN. 2021
- Martínez Fernández, Adrián
- Villacieros-Robineau, Nicolás
- Gilcoto, Miguel
This item is made of 2 files: the dataset in netcdf format, a Readme.txt file including a small description of the computed variables, and 1 figure showing the instrument used, Wave parameters obtained from RBR Duet in Cabo do Mar from November 2020 to January 2021 under the framework of the STRAUSS project in order to evaluate the effects of ocean waves in selected biological case studies of the Rías Baixas Upwelling System, Funding for this deployment was provided by Project 𝐏𝐈𝐃𝟐𝟎𝟏𝟗-𝟏𝟎𝟔𝟎𝟎𝟖𝐑𝐁-𝐂𝟐𝟏, funded by MCIN/AEI/10.13039/501100011033 in the R&D Projects “Research Challenges” modality, Peer reviewed
DOI: http://hdl.handle.net/10261/296922, https://doi.org/10.20350/digitalCSIC/15152
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296922
HANDLE: http://hdl.handle.net/10261/296922, https://doi.org/10.20350/digitalCSIC/15152
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296922
PMID: http://hdl.handle.net/10261/296922, https://doi.org/10.20350/digitalCSIC/15152
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296922
Ver en: http://hdl.handle.net/10261/296922, https://doi.org/10.20350/digitalCSIC/15152
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296922
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296925
Dataset. 2023
STRAUSS WAVE PARAMETERS OBTAINED FROM RBR DUO, ATLANTIC OCEAN - RÍA DE VIGO - CABO DO MAR (NW IBERIA) - OCT. 2021 - JUN. 2022
- Martínez Fernández, Adrián
- Villacieros-Robineau, Nicolás
- Gilcoto, Miguel
This item is made of 2 files: the dataset in netcdf format, a Readme.txt file including a small description of the computed variables, and 1 figure showing the instrument used, Wave parameters obtained from RBR Duo in Cabo do mar from October 2021 to June 2022 under the framework of the STRAUSS project in order to evaluate the effects of ocean waves in selected biological case studies of the Rías Baixas Upwelling System, Funding for this deployment was provided by Project 𝐏𝐈𝐃𝟐𝟎𝟏𝟗-𝟏𝟎𝟔𝟎𝟎𝟖𝐑𝐁-𝐂𝟐𝟏, funded by MCIN/AEI/10.13039/501100011033 in the R&D Projects “Research Challenges” modality, Peer reviewed
DOI: http://hdl.handle.net/10261/296925, https://doi.org/10.20350/digitalCSIC/15153
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296925
HANDLE: http://hdl.handle.net/10261/296925, https://doi.org/10.20350/digitalCSIC/15153
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296925
PMID: http://hdl.handle.net/10261/296925, https://doi.org/10.20350/digitalCSIC/15153
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296925
Ver en: http://hdl.handle.net/10261/296925, https://doi.org/10.20350/digitalCSIC/15153
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/296925
Buscador avanzado