Resultados totales (Incluyendo duplicados): 34257
Encontrada(s) 3426 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/269731
Dataset. 2022

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
oai:digital.csic.es:10261/269731
HANDLE: http://hdl.handle.net/10261/269731
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/269731
PMID: http://hdl.handle.net/10261/269731
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/269731
Ver en: http://hdl.handle.net/10261/269731
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/269731

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/269832
Dataset. 2022

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 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

DOI: http://hdl.handle.net/10261/269832, https://doi.org/10.20350/digitalCSIC/14643
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/269832
HANDLE: http://hdl.handle.net/10261/269832, https://doi.org/10.20350/digitalCSIC/14643
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/269832
PMID: http://hdl.handle.net/10261/269832, https://doi.org/10.20350/digitalCSIC/14643
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/269832
Ver en: http://hdl.handle.net/10261/269832, https://doi.org/10.20350/digitalCSIC/14643
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/269832

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/269887
Dataset. 2022

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, https://doi.org/10.20350/digitalCSIC/14644
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/269887
HANDLE: http://hdl.handle.net/10261/269887, https://doi.org/10.20350/digitalCSIC/14644
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/269887
PMID: http://hdl.handle.net/10261/269887, https://doi.org/10.20350/digitalCSIC/14644
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/269887
Ver en: http://hdl.handle.net/10261/269887, https://doi.org/10.20350/digitalCSIC/14644
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/269887

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270397
Dataset. 2022

DRIFT AND MIGRATION

  • Sergio, Fabrizio
  • Barbosa, Jomar M.
  • Tanferna, Alessandro
  • Silva, Rafa
  • Blas, Julio
  • Hiraldo, Fernando
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
oai:digital.csic.es:10261/270397
HANDLE: http://hdl.handle.net/10261/270397, https://doi.org/10.20350/digitalCSIC/14652
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270397
PMID: http://hdl.handle.net/10261/270397, https://doi.org/10.20350/digitalCSIC/14652
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270397
Ver en: http://hdl.handle.net/10261/270397, https://doi.org/10.20350/digitalCSIC/14652
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270397

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270429
Dataset. 2022

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

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270432
Dataset. 2014

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
oai:digital.csic.es:10261/270432
HANDLE: http://hdl.handle.net/10261/270432
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270432
PMID: http://hdl.handle.net/10261/270432
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270432
Ver en: http://hdl.handle.net/10261/270432
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270432

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270435
Dataset. 2014

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
oai:digital.csic.es:10261/270435
HANDLE: http://hdl.handle.net/10261/270435
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270435
PMID: http://hdl.handle.net/10261/270435
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270435
Ver en: http://hdl.handle.net/10261/270435
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270435

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270440
Dataset. 2013

WIND JANUARY 2013

  • Aguilar, Fernando
Wind Direction and speed in CDP, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/270440
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270440
HANDLE: http://hdl.handle.net/10261/270440
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270440
PMID: http://hdl.handle.net/10261/270440
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270440
Ver en: http://hdl.handle.net/10261/270440
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270440

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270441
Dataset. 2014

RAIN AND HAIL INTENSITY. JANUARY 2013

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

Proyecto: //
DOI: http://hdl.handle.net/10261/270441
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270441
HANDLE: http://hdl.handle.net/10261/270441
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270441
PMID: http://hdl.handle.net/10261/270441
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270441
Ver en: http://hdl.handle.net/10261/270441
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270441

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270445
Dataset. 2014

PRESS, TEMPERATURE AND HUMIDITY DECEMBER 2013

  • Aguilar, Fernando
PTU Cuerda del Pozo. December 2013, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/270445
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270445
HANDLE: http://hdl.handle.net/10261/270445
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270445
PMID: http://hdl.handle.net/10261/270445
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270445
Ver en: http://hdl.handle.net/10261/270445
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270445

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