BUSCADOR RECOLECTA

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

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

Data acquisition: Satellite: ESA SMOS mission (Soil Moisture and Ocean Salinity), ECMWF skin temperature at 12 UTC and 16-dayTerra MODIS NDVI version 6.1 Filenames: BEC_SM____SMOS__EUM_L4__X_YYYYMMDDTHHMMSS_001km_1d_REP_v6.1.nc, being: - X the half-orbit type (A for ascending and D for descending), - YYYYMMDDTHHMMSS the central date (year, month, day, hour, minute and second) in Coordinated Universal Time (UTC) of the period covered by the file. Time resolution: Daily. Maps frequency generation: Daily. Sensor: Satellite SMOS / MIRAS. Spatial resolution: 1 km x 1 km. Spatial grid: WGS_84 / EASE2_M01km, Improvement of the current SMOS soil moisture products produced by the Barcelona Expert Centre (BEC) and development of new added-value products and/or applications over land., INTERACT. Enfoques sinergéticos para una nueva generación de productos y aplicaciones de observación de la Tierra (PID2020-114623RB-C31). Ministerio de Ciencia e Innovación a través de PN2020 - PROY I+D+I – Programa Estatal de I+D+I Orientada a los Retos de la Sociedad – Plan Estatal de Investigación Científica Técnica y de Innovación 2017-2020., · Surface soil moisture (SM) · Quality flag of surface soil moisture (quality_flag) · Time (time) · Latitude (lat) · Longitude (lon) · Coordinate reference system (crs), 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 Duo in Limens from February 2021 to May 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

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 ACDP currents of a RDI 600-kHz Workhorse Acoustic Doppler Current Profiler (ADCP) in Cíes Sur from May 2022 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

This dataset corresponds to a comprehensive study of splice-site variants of the breast cancer susceptibility gene CHEK2. Variant data have been obtained from the large-scale sequencing project BRIDGES that sequenced 34 genes in 113,000 women. A set of 128 CHEK2 variants at the intron-exon boundaries were identified, 52 of which were predicted spliceogenic. These were introduced into the three minigene constructs by site-directed mutagenesis and tested in MCF-7 cells. Forty-six variants impaired splicing, 26 of which were classified as pathogenic/likely pathogenic variants according to ACMG/AMP-based guidelines, so carrier patients and families may benefit from tailored prevention protocols and personalized therapies., Eladio A. Velasco (EAV) has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 634935. EAV lab is supported by grants from the Spanish Ministry of Science and Innovation, Plan Nacional de I+D+I 2013-2016, ISCIII (PI17/00227 and PI20/00225) co-funded by FEDER from Regional Development European Funds (European Union) and from the Consejería de Educación, Junta de Castilla y León, ref. CSI242P18 (actuación cofinanciada P.O. FEDER 2014-2020 de Castilla y León). Lara Sanoguera-Miralles is supported by a predoctoral fellowship from the AECC-Scientific Foundation, Sede Provincial de Valladolid (2019–2023). Elena Bueno-Martínez is a postdoctoral researcher funded by the University of Valladolid (POSTDOC-UVA05, 2022-2025)., Folder: cDNA_Sequences. Transcript Sequencing. Sub-Folders: cDNA microdeletions CHEK2 1-7 c.684-2G; cDNA_minigenes CHEK2 1-7; cDNA_minigenes CHEK2 6-10; cDNA_minigenes CHEK2 6-14 WT y mutantes; cDNA_minigenes CHEK2 11-15; cDNA_minigenes WT.-- Folder: Fragment_Analysis. Fluorescent Fragment Analysis. Sub-Folders: Fragment_Analysis_microdeletions CHEK2 1-7 c.684-2G; Fragment_Analysis_minigenes CHEK2 1-7; Fragment_Analysis_minigenes CHEK2 6-10; Fragment_Analysis_minigenes CHEK2 6-14 y mutantes; Fragment_Analysis_minigenes CHEK2 11-15; Fragment_Analysis_minigenes WT.-- Folder: Minigenes_Sequences. Sequence files of wild type and mutant constructs. Sub-folders: Microdeletions_CHEK2 1-7-c.684-2G; Minigene_CHEK2 1-7; Minigene_CHEK2 6-10; Minigene_CHEK2 6-14 WT y mutant; Minigene_CHEK2 11-15; minigene_WT., Peer reviewed