BUSCADOR RECOLECTA

This dataset contains the data used in the publication "Frontal Convergence and Vertical Velocity measured by Drifters in the Alboran Sea"., This research was supported by the Office of Naval Research (ONR) Departmental Research Initiative CALYPSO under program officers Terri Paluszkiewicz and Scott Harper., Peer reviewed

[EN] Journal level disaggregated data of the review, acceptance and publication dates of a sample of 21890 articles from 326 Ibero-American scientific journals from all subject areas and countries included in the Latindex Catalogue 2.0 and published between 2018 and 2020. The variable included are: journal identifier; ISSN; journal title; identifier of the country/region of the journal; literal of the country/region of the journal; subject area identifier; subject area literal; journal periodicity identifier; journal periodicity; number of articles of each journal included in the study; average, median, minimum, maximum, range, standard deviation of evaluation days; average, median, minimum, maximum, range, standard deviation of publication days; average of total days calculated in weeks; median of total days calculated in weeks; number of weeks of the total process (from reception to publication) declared by the publishers at DOAJ; difference between total days calculated in weeks and data declared by the publishers at DOAJ; indication of a journal maintains a paper version; Compound Index of Secondary Diffusion (ICDS)., [ES] Datos desagregados a nivel revista sobre las fechas de revisión, aceptación y publicación de una muestra de 21890 artículos de 326 revistas científicas iberoamericanas de todas las áreas temáticas y países incluidos en el Catálogo Latindex 2.0 y publicados entre 2018 y 2020. Las variables incluidas son: identificador de la revista; ISSN; título de la revista; identificador de país/región de publicación de la revista; literal del país/región de publicación de la revista; identificador del área temática; literal del área temática; identificador de la periodicidad de la revista; periodicidad de la revista; número de artículos de cada revista incluidos en el estudio; media, mediana, mínimo, máximo, rango y desviación típica de los días de evaluación; media, mediana, mínimo, máximo, rango y desviación típica de los días de publicación; media de los días totales del proceso calculada en semanas; mediana de los días totales del proceso calculada en semanas; número de semanas del proceso total (desde la recepción hasta la publicación) declarado por los editores en DOAJ; diferencia entre la media de los días totales calculados en semanas y los datos declarados por los editores en DOAJ; indicativo de si la revista mantiene una edición en papel; Índice Compuesto de Difusión Secundaria (ICDS), No

Document level disaggregated dataset about evaluation and publication delay in Ibero-Aamerican scientific journals (2018-2020). This dataset has a Creative Commons BY-NC-SA 4.0 licence = Conjunto de datos desagregados a nivel documento sobre los periodos de demora de evaluación y publicación de revistas científicas iberoamericanas (2018-2020). Este conjunto de datos tiene una licencia Creative Commons BY-NC-SA 4.0, [EN] Document level disaggregated data of the review, acceptance and publication dates of a sample of 21890 articles from 326 Ibero-American scientific journals from all subject areas and countries included in the Latindex Catalogue 2.0 and published between 2018 and 2020. The variable included are: document identifier; identifier of the journal section in which the document was include; literal of journal section in which the document was include; source data; year of the publication of the article; reception date of the article; acceptance date of the article; publication date of the article; days between reception date and acceptance date; days between acceptance date and publication date; days between reception date and publication date; identifier of the country/region of the journal; literal of the country/region of the journal; subject area identifier; subject area literal; journal periodicity identifier; journal periodicity; journal identifier; ISSN; journal title., [ES] Datos desagregados a nivel documento sobre las fechas de revisión, aceptación y publicación de una muestra de 21890 artículos de 326 revistas científicas iberoamericanas de todas las áreas temáticas y países incluidos en el Catálogo Latindex 2.0 y publicados entre 2018 y 2020. Las variables incluidas son: identificador de documento; identificador de la sección de la revista en la que se incluyó el documento; literal de la sección de la revista en la que se incluyó el documento; datos fuente del artículo; año de la publicación del artículo; fecha de recepción del artículo; fecha de aceptación del artículo; fecha de publicación del artículo; días entre la fecha de recepción y la fecha de aceptación; días entre la fecha de aceptación y la fecha de publicación; días entre la fecha de recepción y la fecha de publicación; identificador de país/región de publicación de la revista; literal del país/región de publicación de la revista; identificador del área temática; literal del área temática; identificador de la periodicidad de la revista ; periodicidad de la revista; identificador de la revista; ISSN; título de la revista., 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 3 figures representing the buoy and the two experiments.-- Dataset contributed to the Project RADAR ON RAIA (0461_RADAR ON RAIA_1_E).-- Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0), readme files for more detail information, GPS fixes of the drifts of manufactured buoys (GPRS) under Radar On Raia Project. These bouys were used in two short experiments (< 1 day) in September 2021 in order to validate the data collected by the HF Radar of RAIA_Vigo system. http://radaronraia.eu/, Funding for this study was provided by the European Union through EP-INTERREG V-A España-Portugal (POCTEP) program (RADAR ON RAIA, 0461_RADAR ON RAIA_1_E), 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 4 figures representing the buoy and the three experiments. Dataset contributed to the Project RADAR ON RAIA (0461_RADAR ON RAIA_1_E).-- Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0), readme files for more detail information, GPS fixes of the drifts of manufracted buoys (SPOT) under Radar On Raia Project. This bouys were used in three experiments between Sep. 2020 and Aug. 2021 in order to validate the data collected by the HFR of RAIA_NW_Iberian system. http://radaronraia.eu, Funding for this study was provided by the European Union through EP-INTERREG V-A España-Portugal (POCTEP) program (RADAR ON RAIA, 0461_RADAR ON RAIA_1_E), No

This data set contains the output files with the crystal orientation of each simulation presented in the article Can changes in deformation regimes be inferred from crystallographic preferred orientations in polar ice? https://doi.org/10.5194/tc-16-2009-2022 in this repository http://hdl.handle.net/10261/270644 (run using the open-source software platform ELLE; Bons et al., 2008). For the visualization of the crystallographic preferred orientation the information contained in these output files can be loaded to the software toolbox MTEX (Bachmann, F., Hielscher, R. and Schaeben, H. Grain detection from 2d and 3d EBSD data—Specification of the MTEX algorithm. Ultramicroscopy, 111(12), pp.1720-1733. 2011)., Beca Juan de la Cierva-Incorporación (IJC2018-036826-I), financiada por MCIN/AEI/10.13039/501100011033. Beca Ramón y Cajal (RYC2018-026335-I), financiada por MCIN/AEI/10.13039/501100011033 and the FSE. Beca HFG no.VH-NG-802. Proyecto GeoCAM (PGC2018-095154-B-100), financiado por el Gobierno de España., Peer reviewed

A collection of 24.298 pairs of professional and simplified texts (>96 million tokens): 1) Drug leaflets and summaries of product characteristics (10 211 pairs of texts, >82M words); 2) Cancer-related information summaries (201 pairs of texts, >3M tokens); and 2) Clinical trials announcements (5748 pairs of texts, 451 690 tokens). The dataset also contains a parallel corpus with a subset of 3800 sentence pairs of professional and laymen variants (149 862 tokens). This is a benchmark for medical text simplification. The latest download of files was in February 2022., The data can be reproduced (partially or totally), as long as the source is provided. The specific details of each data source are as follows: - For the data from CIMA/AEMPS: The copyright of the contents belongs to Centro de Información de Medicamentos (CIMA, 'Medicine Online Information Center'), from the Agencia Española de Medicamentos y Productos Sanitarios (AEMPS). The latest access to the data was February 2022 from https://cima.aemps.es. Note that CIMA updates its contents regularly, and the data in the CLARA-MeD corpus might not be updated according to the version of the online contents. The data can be reproduced (partially or totally), as long as the source is provided. For more information, please, check: https://www.aemps.gob.es/avisoLegal/ - For the data from EudraCT: We attribute the source as "EU Clinical Trials Register" in the publication or distribution of these data, and clearly state that these data were accessed as of January 2022 from https://www.clinicaltrialsregister.eu The European Medicines Agency, according to current European Union and international legislation, is the owner of copyright and other intellectual property rights for documents and other content published on its website. Information and documents made available on the Agency's webpages are public and may be reproduced and/or distributed, totally or in part, irrespective of the means and/or the formats used, for non-commercial and commercial purposes, provided that the Agency is always acknowledged as the source of the material. Such acknowledgement must be included in each copy of the material. For further information, please, see: https://www.ema.europa.eu/en/about-us/legal-notice - For the data from the NCI: Unless otherwise indicated, all text within NCI products is free of copyright and may be reused without permission. Credit the National Cancer Institute as the source. For further information, please, see: https://www.cancer.gov/policies/copyright-reuse, A collection of 24 298 pairs of professional and simplified texts (>96 million tokens) for automatic medical text simplification in Spanish. A parallel corpus with a subset of 3800 sentence pairs of professional and laymen variants (149 862 tokens) is released as a benchmark for medical text simplification. This dataset was collected in the CLARA-MeD project, with the goal of simplifying medical texts in the Spanish language and reducing the language barrier to patient's informed decision making. In particular, the project aims at developing linguistic resources for automatic medical term simplification in Spanish; and conducting experiments in automatic text simplification., This dataset was collected in the CLARA-MeD project (PID2020- 116001RA-C33), with funding from the Spanish government by MCIN/AEI/10.13039/501100011033/, in project call: “Proyectos I+D+i Retos Investigación”., Folders: 1) Comparable corpus: the data of each source can be found in the corresponding folder. Each folder contains two other subfolders: - source: professional, specialized texts (".src" file extension) - target: simplified texts (".trg" file extension). 2) Aligned sentences: these can be found file "aligned.tsv" (in folder "aligned"). The folder structure is as follows: - aligned/ - aligned.tsv - cima/ - source/ - target/ - eudract/ - source/ - target/ - nci/ - source/ - target/., Peer reviewed

The data are organized into seven Excel files on how black kites negotiate wind conditions when they: depart for migration (depart for migration.xlsx), travel and compensate for lateral drift (drift.xlsx), travel and negotiate axial winds (forward.xlsx), stop for a staging stop over (stop for stopover.xlsx), retake their migratory journey after a stopover (start from stopover). Two further Excel files examine how wind negotiation improves within the individual (improvements.xlsx) and is subject to mortality selection (survival & slope.xlsx)., This dataset incorporates data on wind negotiation and response to drift by migratory black kites., Part of the study was funded by Natural Research Ltd and research projects CGL2008-01781 (F.S.), CGL2011-28103 (F.S.), CGL2012-32544 (J.B.) and PGC2018-095860-B-I00 (F.S.) of the Spanish Ministry of Science and Innovation/Economy and Competitiveness and FEDER funds, 511/2012 (J.B.) of the Spanish Ministry of Agriculture, Food and the Environment (Autonomous Organism of National Parks), JA-58 (F.S.) of the Consejería de Medio Ambiente de la Junta de Andalucía and by the Excellence Projects RNM 1790 (F.S.), RNM 3822 (F.S.), RNM 7307 (F.S.) and P18-FR-4239 (F.S.) of the Junta de Andalucía. J.M.B was supported by Generalitat Valenciana (CIDEGENT/2020/030)., File List: Depart for migration.xls, Depart for stopover.xls, Drift.xls Forward.xls, Improvements.xls, Stop at stopover.xls, Survival & slope.xls., Peer reviewed

55 páginas, 54 figuras, Nell’attuale contesto di cambiamento climatico che stiamo vivendo da alcuni anni, le foreste mediterranee sono minacciate da un’ampia varietà di fattori di stress di origine biotica e abiotica. Periodi di siccità prolungata, temperature elevate e incendi boschivi stanno diventando sempre più frequenti nelle nostre foreste. Questi fattori di rischio abiotico sono stati accentuati a causa dell’abbandono rurale, poiché lo spopolamento porta a una diminuzione della pratica della selvicoltura tradizionale che storicamente ha contribuito a mitigare il rischio di incendi e altre minacce per la foresta. Le nostre foreste sono inoltre soggette ad agenti di stress di origine biotica: parassiti e patogeni in grado di indebolire e persino distruggere le masse forestali, che, se colpite dall’azione di insetti e/o microrganismi patogeni, sono più suscettibili a loro volta ad ulteriori elementi di stress. La combinazione di questi elementi nocivi, mette in pericolo la salute e l’esistenza dell’intero ecosistema forestale. Il progetto LIFE MycoRestore nasce con l’obiettivo di implementare diverse strategie per ottenere una gestione sostenibile delle foreste mediterranee e delle loro risorse. A tal fine, vengono utilizzate varie risorse micologiche innovative e pratiche di gestione forestale che consentono un migliore risultato economico, contribuendo nel contempo ad aumentare la resilienza e l’adattamento ai cambiamenti climatici delle foreste mediterranee in Spagna, Italia e Portogallo., LIFE MYCORESTORE. Innovative use of mycological resources for resilient and productive Mediterranean forests threatened by climate change (LIFE18 CCA/ES/1110), Peer reviewed

This dataset corresponds to a comprehensive splicing analysis of splice-site variants of the breast cancer susceptibility gene RAD51C. These variants were reported at the ClinVar database. Loss-of-function variants at the RAD51C gene are known to confer risk to breast and ovarian cancers. A total of 141 RAD51C variants at the intron/exon boundaries were analyzed with MaxEntScan. Twenty variants were selected and genetically engineered into a RAD51C splicing reporter minigene. We found that all the variants disrupted splicing and 16 of them could be classified as likely pathogenic. Hence, they are clinically actionable findings so variant-carriers may benefit from tailored prevention protocols and therapies., 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)., Peer reviewed