BUSCADOR RECOLECTA

[EN] A monthly precipitation gridded data set over mainland Spain between December 1915 and December 2020. The dataset combines ground observations from the National Climate Data Bank (NCDB) of the Spanish national climate and weather service (AEMET) and new data rescued from meteorological yearbooks published prior to 1951 that was never incorporated into the NCDB. The yearbooks data represented a significant improvement of the dataset, as it almost doubled the number of weather stations available during the first decades of the 20th century, the period when the dataset was more scarce. The final dataset contains records from 11,312 stations. Spatial interpolation was performed using geostatistical techniques over a regular 0.1° × 0.1° grid, using a two-stage process: estimation of the probability of zero-precipitation (dry month), and estimation of precipitation magnitude., [ES] Conjunto de datos en rejilla de precipitación mensual en la España peninsular, entre diciembre de 1915 y diciembre de 2020. El conjunto de datos utilizado combina observaciones del Banco Nacional de Datos de AEMET y nuevos datos rescatados de los anuarios climáticos publicados con anterioridad a 1951, y que casi duplican la información existente sobre la primera mitad del siglo 20. El conjunto final contiene información de un total de 11.312 observatorios. Se utilizaron técnicas geoestadísticas para interpolar espacialmente las observaciones sobre una rejilla regular de 0.1° × 0.1°, utilizando un proceso en dos pasos: en primer lugar se interpoló la probabilidad de mes seco (precipitación igual a cero), y en un segundo paso la magnitud de la precipitación., Projects CGL2017-83866-C3-3-R (CLICES: Climate of the last Century in the Spanish mainland) and PID2020-116860RB-C22 EXE: Extremos térmicos y pluviométricos en la España peninsular 1916-2020), funded by the Spanish Ministry of Science., Mean grid; standard deviation grid; netCDF., No

[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

Formato Excel con distintas hojas, cada una de ellas correspondiente a un grupo de compuestos, Peer reviewed

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

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

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

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

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

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

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