BUSCADOR RECOLECTA

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, No

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 October 2021 to Jun 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, No

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, No

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 2020 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, No

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 February 2021 to October 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, No

Esta presentación forma parte del curso del Gabinete de Formación del CSIC impartido por la Oficina Técnica de Digital.CSIC "Mandato CSIC de acceso abierto: política institucional, vía de cumplimiento, buenas prácticas y recomendaciones" celebrado para el personal del CSIC del 14 al 16 de marzo de 2023., 1. Mandato institucional de acceso abierto.-- 2. Conjuntos de datos.-- 3. Manuales y plantillas.-- 4. Fichero readme.-- 5. Nombre ficheros.-- 6. Licencias.-- 7. Carga en DIGITAL.CSIC.-- 8. Herramientas.-- 9. Edición.-- 10. FAIR.-- 11. Software.-- 12. Monitorización., 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

[Methods] Data are compiled from published references, in all cases, the reference is provided., 1. Many internal (inherent) and environmental (imposed) factors control seed dormancy and germina-tion from which we can derive three basic dormancy-release pathways: Maternal structures and embryo physiology control inherent dormancy that is broken by various types of scarification and physiological changes, followed by imposed-dormancy release when replaced by certain ‘standard’ environmental conditions that stimulate germination (pathway 1); imposed dormancy prevails even if inherent dorman-cy is broken or not applicable that is released when replaced by certain ‘standard’ environmental condi-tions which stimulate germination (pathway 2); release from inherent dormancy by light/dark or cold stratification is contingent on existing presence of certain ‘standard’ environmental conditions that stim-ulate germination (pathway 3). 2. On-plant seed storage (serotiny) and frugivorous seeds are recognized here as representing special types of physical dormancy, as their properties are consistent with those of hard diaspores. Warm stratification does not require seeds to be moist as it is just a physical response. Heat may promote germination of non-hard, as well as hard, seeds as it may also increase their permeability. 3. Levels of germination gauge the net effect of inherent- and imposed-dormancy release so that it only possible to identify the extent of inherent-dormancy release when conditions for germination are optimal (imposed dormancy has been annulled). While imposed dormancy may be protracted after inherent dormancy is broken by heat or chilling during the dry or cold seasons, release from both states may effectively coincide if smoke chemicals or light are received during the (wet) growing sea-son. 4. We suggest reserving the term secondary dormancy for seeds that return to (inherent or imposed) dormancy due to changed environmental conditions. Under seasonal climates, fluctuations in envi-ronmental conditions can lead to secondary dormancy and even dormancy cycling. 5. We recognize four types of functional interactions between any two environmental factors that induce inherent-dormancy release: binary interactions are either ineffective, only one effective, non-additive or additive/synergistic. Two environmental stimuli that individually break dormancy but have no additive effect must be affecting the same process; this was demonstrated here for some interac-tions between heat and smoke. 6. The three dormancy-release pathways, together with internal, seasonal and stochastic interact ions, are coordinated by the non-dormant seed to ensure maximum germination under optimal conditions. To ignore any aspect outlined here leads to an impoverished understanding of the disparate seed ecol-ogy of species adapted to different stressful and disturbance-prone habitats., Generalitat Valenciana, Award: PROMETEO/2021/040 (FocScales)., Peer reviewed

[Methods] ABR DATA: obtained by ABR recording in a Tucker David Technology RZ6 Auditory Workstation using BioSigRZ software EVANS BLUE DATA: obtained by fluorimetry in a Glomax™ Luminometer and Microplate Reader (Promega) (620/680 nm excitation/emission wavelength). GENE EXPRESSION DATA: obtained by Real-Time PCR and analyzed by QuantStudio™ Real-Time PCR software 1.3. PCR array obtained using the PCR array RT² Profiler™ Rat Innate & Adaptive Immune Responses (Qiagen, #PARN-052Z) and analyzed with Geneglobe (Qiagen). MRI DATA: images obtained with a horizontal 7.0-Tesla Bruker BioSpec® system (Bruker Medical GmbH) running ParaVision 6.0.1 on a Linux environment. Data analysis was performed with Fiji software. OPTICAL IMAGING DATA: images obtained with a Zeiss AxioPhot microscope (Carl Zeiss). Data analysis was performed with Fiji software. FLUORESCENCE DATA: images obtained with an epifluorescence (Nikon 90i) and confocal laser-scanning (Zeiss LSM710) microscopes. Data analysis was performed with Fiji software. WB DATA: Immunoreactive bands revealed using the Clarity™ Western ECL Substrate (Bio-Rad), and images were captured with the ImageQuant LAS4000 mini digital camera using ImageQuant TL software 8.1 (GE Healthcare)., SPIRALTH-CIBERER ER17PE12., 1) ABR DATA ABR_DATA ANALYSIS ABRA_RAW DATA 2) EVANS BLUE DATA EVANS BLUE RAW DATA EVANS BLUE ANALYSIS 3) GENE EXPRESSION DATA 3.1) HEATMAP HEATMAPPER DATASET HEATMAP IN HOUSE ANALYSIS HEATMAP RT2 PROFILER PCR ARRAY DATA ANALYSIS_Placa3693-3694 3.2) QPCR PLS PLUS SPT-2101 QPCR SELECCION ARRAY 3.3) QPCR LPS TIME COURSE SPSS LPS TIME COURSE LPS TIME COURSE STATISTICS 3.4) QPCR STRIAL DAMAGE STRIAL GENES DATA ANALYSIS QPCR STRIAL GENES 4) MRI DATA MRI RAW DATA MRI LPS PLUS TREATMENTS_DATA ANALYSIS MRI_LPS TIME COURSE DATA ANALYSIS 5) OPTICAL AND FLUORESCENCE MICROSCOPY DATA 5.1) HAIR CELL-SYNAPSIS HC-SYNAPSIS RAW DATA STATISTICS HCs STATISTICS SYNAPSIS 5.2) IF STRIA SPSS DESMIN COVERAGE STATISTICS DESMIN COVERAGE DESMIN COVERAGE 5.3)STRIA AREA STRIA MORPHOLOGY RAW DATA STRIA AREA DATA ANALYSIS 5.4) IF SPIRAL GANGLION AND LIGAMENT IBA1 GANGL DATA IBA1 LIG DATA IBA1 GANGL ANALYSIS IBA1 LIG DATA ANALYSIS 6) WB DATA WB NLRP2 AND NRF2 DATA NLRP3 IMAGES NRF2 IMAGES VINCULIN IMAGES, Peer reviewed