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Digital.CSIC. Repositorio Institucional del CSIC
Dataset

GENOMIC PATTERNS OF HOMOZYGOSITY AND INBREEDING DEPRESSION IN MURCIANO-GRANADINA GOATS

  • Luigi-Sierra, Maria Gracia
Genotypic data from 1,040 Murciano-Granadina female goats genotyped with the Goat SNP50 BeadChip, as well as milk production records of 817 Murciano-Granadina goats for the traits milk yield measured in kilograms at 210 days (MY210), 240 days (MY240) and 305 days (MY305), the natural logarithm of the somatic cell count divided by 1,000 (lnSCC, to convert this value into a somatic cell count please use the formula: elnSCC × 103 cells/mL), fat percentage (FP), protein percentage (PP) and lactose percentage (LP)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/269731
Digital.CSIC. Repositorio Institucional del CSIC
HANDLE: http://hdl.handle.net/10261/269731
Digital.CSIC. Repositorio Institucional del CSIC
PMID: http://hdl.handle.net/10261/269731
Digital.CSIC. Repositorio Institucional del CSIC
Ver en: http://hdl.handle.net/10261/269731
Digital.CSIC. Repositorio Institucional del CSIC

Digital.CSIC. Repositorio Institucional del CSIC
Dataset

FULL-FIELD NUMERICAL SIMULATIONS OF ICE VISCOPLASTIC DEFORMATION DURING TWO DEFORMATION EVENTS

  • Llorens, Maria-Gema
  • Griera, A.
  • Bons, P. D.
  • Weikusat, Ilka
  • Prior, D. J.
  • Gómez-Rivas, E.
  • de Riese, Tamara
  • Jimenez-Munt, Ivone
  • García-Castellanos, Daniel
  • Lebensohn, R. A.
This data set contains the output files with the crystal orientation of each simulation presented in the article (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

DOI: http://hdl.handle.net/10261/269832
Digital.CSIC. Repositorio Institucional del CSIC
HANDLE: http://hdl.handle.net/10261/269832
Digital.CSIC. Repositorio Institucional del CSIC
PMID: http://hdl.handle.net/10261/269832
Digital.CSIC. Repositorio Institucional del CSIC
Ver en: http://hdl.handle.net/10261/269832
Digital.CSIC. Repositorio Institucional del CSIC

Digital.CSIC. Repositorio Institucional del CSIC
Dataset

CLARA-MED CORPUS

  • Campillos-Llanos, Leonardo
  • Terroba Reinares, Ana Rosa
  • Zakhir Puig, Sofía
  • Valverde Mateos, Ana
  • Capllonch Carrión, Adrián
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., 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

DOI: http://hdl.handle.net/10261/269887
Digital.CSIC. Repositorio Institucional del CSIC
HANDLE: http://hdl.handle.net/10261/269887
Digital.CSIC. Repositorio Institucional del CSIC
PMID: http://hdl.handle.net/10261/269887
Digital.CSIC. Repositorio Institucional del CSIC
Ver en: http://hdl.handle.net/10261/269887
Digital.CSIC. Repositorio Institucional del CSIC

Digital.CSIC. Repositorio Institucional del CSIC
Dataset

MEDICAL LEXICON FOR SPANISH (MEDLEXSP)

  • Campillos-Llanos, Leonardo
- MedLexSp.dsv: a delimiter-separated value file, with the following data fields: Field 1 is the UMLS CUI of the entity; field 2, the lemma; field 3, the variant forms; field 4, the part-of-speech; field 5, the semantic types(s); and field 6, the semantic group. - MedLexSp.xml: an XML-encoded version using the Lexical Markup Framework (LMF), which includes the morphological data (number, gender, verb tense and person, and information about affix/abbreviation data). The Document Type Definition file is also provided (lmf.dtd). - Lexical Record files: in subfolder "LR/": · LR_abr.dsv: list of equivalences between acronyms/abbreviations and full forms. · LR_affix.dsv: provides the equivalence between affixes/roots and their meanings. · LR_n_v.dsv: list of deverbal nouns. · LR_adj_n.dsv: list of adjectives derived from nouns. - Spacy lemmatizer (in subfolder "spacy_lemmatizer/"): lemmatizer.py - Stanza lemmatizer (in subfolder "stanza_lemmatizer/"): ancora-medlexsp.pt, File List: 1) MedLexSp.dsv; 2) MedLexSp.xml and lmf.dtd (Document Type Definition); 3) Lexical Record files: in subfolder "LR/": 3.1) LR_abr.dsv; 3.2) LR_affix.dsv; 3.3) LR_n_v.dsv; 3.4) LR_adj_n.dsv; 4) Spacy lemmatizer (in subfolder "spacy_lemmatizer/"): lemmatizer.py 5) Stanza lemmatizer (in subfolder "stanza_lemmatizer/"): ancora-medlexsp.pt See more information about the format below. Companion code and files can be found in the github repository: https://github.com/lcampillos/MedLexSp, MedLexSp is an unified medical lexicon for Medical Natural Language Processing in Spanish. It includes terms and inflected word forms with part-of-speech information and Unified Medical Language System (UMLS) semantic types, groups and Concept Unique Identifiers (CUIs). To create it, we used Natural Language Processing techniques and domain corpora (e.g. MedlinePlus). We also collected terms from the Dictionary of Medical Terms from the Spanish Royal Academy of Medicine, the Medical Subject Headings (MeSH), the Systematized Nomenclature of Medicine – Clinical Terms (SNOMED-CT), the Medical Dictionary for Regulatory Activities Terminology (MedDRA), the International Classification of Diseases vs 10, the Anatomical Therapeutical Classification, the National Cancer Institute (NCI) Dictionary, the Online Mendelian Inheritance in Man (OMIM) and OrphaData. Terms related to COVID-19 were assembled by applying a similarity-based approach with word embeddings trained on a large corpus. This dataset was collected during the NLPMedTerm project and the CLARA-MeD project, with the goal of creating a lexical resource for medical text processing in the Spanish language., MedLexSp is an unified medical lexicon for Medical Natural Language Processing in Spanish. It includes 100 887 lemmas, 302 543 inflected forms (conjugated verbs, and number/gender variants), and 42 958 Unified Medical Language System (UMLS) Concept Unique Identifiers (CUIs)., Spain, Latin America and United States of America (data from MedlinePlus Spanish and the Spanish version of the National Cancer Institute Dictionary of Medical Terms)., This dataset was collected in the NLPMedTerm project, funded by the European Union’s Horizon 2020 research programme under the Marie Skodowska-Curie grant agreement nº. 713366 (InterTalentum UAM), and the CLARA-MeD project (PID2020-116001RA-C33), funded by MCIN/AEI/10.13039/501100011033/, in project call: "Proyectos I+D+i Retos Investigación"., Peer reviewed

DOI: http://hdl.handle.net/10261/270172
Digital.CSIC. Repositorio Institucional del CSIC
HANDLE: http://hdl.handle.net/10261/270172
Digital.CSIC. Repositorio Institucional del CSIC
PMID: http://hdl.handle.net/10261/270172
Digital.CSIC. Repositorio Institucional del CSIC
Ver en: http://hdl.handle.net/10261/270172
Digital.CSIC. Repositorio Institucional del CSIC

Digital.CSIC. Repositorio Institucional del CSIC
Dataset

BORDALLO – SQUALIUS CAROLITERTII (DOADRIO, 1987)

  • Perea, Silvia
Peces - Orden Cypriniformes - Familia Leuciscidae en la Enciclopedia Virtual de Vertebrados Españoles, http://www.vertebradosibericos.org/., A comprehensive review of the natural history of the northern Iberian chub Squalius carolitertii in Spain., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/270342
Digital.CSIC. Repositorio Institucional del CSIC
HANDLE: http://hdl.handle.net/10261/270342
Digital.CSIC. Repositorio Institucional del CSIC
PMID: http://hdl.handle.net/10261/270342
Digital.CSIC. Repositorio Institucional del CSIC
Ver en: http://hdl.handle.net/10261/270342
Digital.CSIC. Repositorio Institucional del CSIC

Digital.CSIC. Repositorio Institucional del CSIC
Dataset

DRIFT AND MIGRATION

  • Sergio, Fabrizio
  • Barbosa, Jomar M.
  • Tanferna, Alessandro
  • Silva, Rafa
  • Blas, Julio
  • Hiraldo, F.
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

DOI: http://hdl.handle.net/10261/270397, https://doi.org/10.20350/digitalCSIC/14652
Digital.CSIC. Repositorio Institucional del CSIC
HANDLE: http://hdl.handle.net/10261/270397, https://doi.org/10.20350/digitalCSIC/14652
Digital.CSIC. Repositorio Institucional del CSIC
PMID: http://hdl.handle.net/10261/270397, https://doi.org/10.20350/digitalCSIC/14652
Digital.CSIC. Repositorio Institucional del CSIC
Ver en: http://hdl.handle.net/10261/270397, https://doi.org/10.20350/digitalCSIC/14652
Digital.CSIC. Repositorio Institucional del CSIC

Digital.CSIC. Repositorio Institucional del CSIC
Dataset

GUÍA DE BUENAS PRÁCTICAS DE IDENTIFICACIÓN Y CONTROL DE ALGUNAS ENFERMEDADES COMUNES DE LOS BOSQUES MEDITERRÁNEOS

  • Barberini, Sara
  • Benito, Álvaro
  • Danti, Roberto
  • Rocca, Gianni Della
  • Devasirvatham, Priya
  • Díez, Sergio
  • Díez, Julio
  • Emiliani, Giovanni
  • Franco, Iván
  • Frascella, Angela
  • García Palacios, Zuleica
  • Igual, José Mariano
  • Kallen, Sven
  • López, Sofía
  • Mediavilla, Olaya
  • Mello, Antonietta
  • Múgica, Marta
  • Olaizola, Jaime
  • Peix, Álvaro
  • Rodríguez, María
  • Santa Regina, Ignacio
  • Secci, Stefano
  • Vaca Igualador, Laura
  • Venice, Francesco
55 páginas, 54 figuras, En la situación de cambio climático que vivimos desde hace algunos años, los bosques mediterráneos se encuentran amenazados por una gran variedad de factores estresantes de origen biótico y abiótico. Los periodos de sequías prolongadas, las altas temperaturas y los incendios forestales son cada vez más frecuentes en nuestros bosques. Estos factores abióticos de riesgo se han acentuado debido al abandono rural, ya que la despoblación conlleva una disminución de la práctica de la silvicultura tradicional que históricamente ayudaba a mitigar el riesgo de incendios y otras amenazas para el bosque. Nuestros bosques también se ven perjudicados por agentes de origen biótico: las plagas y los patógenos que son capaces de debilitar e incluso destruir las masas forestales, que cuando se ven afectadas por la acción de insectos y/o microorganismos patógenos son más susceptibles a incurrir en diversos factores estresantes. Al combinar estos elementos nocivos, se pone en peligro la salud y la existencia de todo el ecosistema forestal. El proyecto LIFE MycoRestore surge con la finalidad de implementar distintas estrategias para lograr una gestión sostenible de los bosques mediterráneos y sus recursos. Para ello, se están utilizando diversos recursos micológicos innovadores y prácticas de manejo forestal que permitan un mejor aprovechamiento económico, ayudando al mismo tiempo a aumentar la resistencia y adaptación al cambio climático de los bosques mediterráneos en España, Italia y Portugal., LIFE MYCORESTORE. Innovative use of mycological resources for resilient and productive Mediterranean forests threatened by climate change (LIFE18 CCA/ES/1110), Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/270412, https://doi.org/10.20350/digitalCSIC/14655
Digital.CSIC. Repositorio Institucional del CSIC
HANDLE: http://hdl.handle.net/10261/270412, https://doi.org/10.20350/digitalCSIC/14655
Digital.CSIC. Repositorio Institucional del CSIC
PMID: http://hdl.handle.net/10261/270412, https://doi.org/10.20350/digitalCSIC/14655
Digital.CSIC. Repositorio Institucional del CSIC
Ver en: http://hdl.handle.net/10261/270412, https://doi.org/10.20350/digitalCSIC/14655
Digital.CSIC. Repositorio Institucional del CSIC

Digital.CSIC. Repositorio Institucional del CSIC
Dataset

MEDICAL LEXICON FOR SPANISH (MEDLEXSP)

  • Campillos-Llanos, Leonardo
- MedLexSp.dsv: a delimiter-separated value file, with the following data fields: Field 1 is the UMLS CUI of the entity; field 2, the lemma; field 3, the variant forms; field 4, the part-of-speech; field 5, the semantic types(s); and field 6, the semantic group. - MedLexSp.xml: an XML-encoded version using the Lexical Markup Framework (LMF), which includes the morphological data (number, gender, verb tense and person, and information about affix/abbreviation data). The Document Type Definition file is also provided (lmf.dtd). - Lexical Record files: in subfolder "LR/": · LR_abr.dsv: list of equivalences between acronyms/abbreviations and full forms. · LR_affix.dsv: provides the equivalence between affixes/roots and their meanings. · LR_n_v.dsv: list of deverbal nouns. · LR_adj_n.dsv: list of adjectives derived from nouns. - Spacy lemmatizer (in subfolder "spacy_lemmatizer/"): lemmatizer.py - Stanza lemmatizer (in subfolder "stanza_lemmatizer/"): ancora-medlexsp.pt, File List: 1) MedLexSp.dsv; 2) MedLexSp.xml and lmf.dtd (Document Type Definition); 3) Lexical Record files: in subfolder "LR/": 3.1) LR_abr.dsv; 3.2) LR_affix.dsv; 3.3) LR_n_v.dsv; 3.4) LR_adj_n.dsv; 4) Spacy lemmatizer (in subfolder "spacy_lemmatizer/"): lemmatizer.py 5) Stanza lemmatizer (in subfolder "stanza_lemmatizer/"): ancora-medlexsp.pt See more information about the format below. Companion code and files can be found in the github repository: https://github.com/lcampillos/MedLexSp, MedLexSp is an unified medical lexicon for Medical Natural Language Processing in Spanish. It includes terms and inflected word forms with part-of-speech information and Unified Medical Language System (UMLS) semantic types, groups and Concept Unique Identifiers (CUIs). To create it, we used Natural Language Processing techniques and domain corpora (e.g. MedlinePlus). We also collected terms from the Dictionary of Medical Terms from the Spanish Royal Academy of Medicine, the Medical Subject Headings (MeSH), the Systematized Nomenclature of Medicine – Clinical Terms (SNOMED-CT), the Medical Dictionary for Regulatory Activities Terminology (MedDRA), the International Classification of Diseases vs 10, the Anatomical Therapeutical Classification, the National Cancer Institute (NCI) Dictionary, the Online Mendelian Inheritance in Man (OMIM) and OrphaData. Terms related to COVID-19 were assembled by applying a similarity-based approach with word embeddings trained on a large corpus. This dataset was collected during the NLPMedTerm project and the CLARA-MeD project, with the goal of creating a lexical resource for medical text processing in the Spanish language., MedLexSp is an unified medical lexicon for Medical Natural Language Processing in Spanish. It includes 100 887 lemmas, 302 543 inflected forms (conjugated verbs, and number/gender variants), and 42 958 Unified Medical Language System (UMLS) Concept Unique Identifiers (CUIs)., Spain, Latin America and United States of America (data from MedlinePlus Spanish and the Spanish version of the National Cancer Institute Dictionary of Medical Terms)., This dataset was collected in the NLPMedTerm project, funded by the European Union’s Horizon 2020 research programme under the Marie Skodowska-Curie grant agreement nº. 713366 (InterTalentum UAM), and the CLARA-MeD project (PID2020-116001RA-C33), funded by MCIN/AEI/10.13039/501100011033/, in project call: "Proyectos I+D+i Retos Investigación"., Peer reviewed

DOI: http://hdl.handle.net/10261/270429, https://doi.org/10.20350/digitalCSIC/14656
Digital.CSIC. Repositorio Institucional del CSIC
HANDLE: http://hdl.handle.net/10261/270429, https://doi.org/10.20350/digitalCSIC/14656
Digital.CSIC. Repositorio Institucional del CSIC
PMID: http://hdl.handle.net/10261/270429, https://doi.org/10.20350/digitalCSIC/14656
Digital.CSIC. Repositorio Institucional del CSIC
Ver en: http://hdl.handle.net/10261/270429, https://doi.org/10.20350/digitalCSIC/14656
Digital.CSIC. Repositorio Institucional del CSIC

Digital.CSIC. Repositorio Institucional del CSIC
Dataset

RAIN AND HAIL INTENSITY. APRIL 2013

  • Aguilar, Fernando
Rain and Hail intensity. Cuerda del Pozo. April 2013, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/270432
Digital.CSIC. Repositorio Institucional del CSIC
HANDLE: http://hdl.handle.net/10261/270432
Digital.CSIC. Repositorio Institucional del CSIC
PMID: http://hdl.handle.net/10261/270432
Digital.CSIC. Repositorio Institucional del CSIC
Ver en: http://hdl.handle.net/10261/270432
Digital.CSIC. Repositorio Institucional del CSIC

Digital.CSIC. Repositorio Institucional del CSIC
Dataset

RAIN AND HAIL INTENSITY. APRIL 2013

  • Aguilar, Fernando
Rain and Hail intensity. Cuerda del Pozo. April 2013, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/270435
Digital.CSIC. Repositorio Institucional del CSIC
HANDLE: http://hdl.handle.net/10261/270435
Digital.CSIC. Repositorio Institucional del CSIC
PMID: http://hdl.handle.net/10261/270435
Digital.CSIC. Repositorio Institucional del CSIC
Ver en: http://hdl.handle.net/10261/270435
Digital.CSIC. Repositorio Institucional del CSIC

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