Resultados totales (Incluyendo duplicados): 141
Encontrada(s) 15 página(s)
Encontrada(s) 15 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/284776
Dataset. 2022
BRAINGUT_WINEUP DAILY LIFELIKE IMAGES [DATASET]
- Bartolomé, Begoña
- Moreno-Arribas, M. Victoria
- Lloret Iglesias, Lara
- Aguilar, Fernando
- Cobo Cano, Miriam
- García Díaz, Daniel
- Heredia, Ignacio
- Yuste, Silvia
- Pérez-Matute, Patricia
- Motilva, María-José
The photographs of glasses containing wine were acquired by researchers with different smartphones equipped with high-resolution cameras (12 or 48 MP). Photographs were previously designed considering usual photographic parameters (see DATA-SPECIFIC INFORMATION for details).-- The data have not been processed., The DATASET compiles 1.945 files corresponding to individual images of glasses containing red wine. The photographs of glasses containing wine were acquired by researchers with different smartphones equipped with high-resolution cameras (12 or 48 MP). Photographs were previously designed considering usual photographic parameters. Each file name is unique and contains information of the parameters under which the photograph was taken., This study was supported by MCIN (Ministerio de Ciencia e Innovación)/AEI (Agencia Estatal de Investigación)/10 .13039 /501100011033through the projects PID2019-108851RB-C21 & PID2019-108851RB-C22. The authors would like to thank CSIC Interdisciplinary Thematic Platform (PTI+) Digital Science and Innovation., The DATASET compiles 1.945 files corresponding to individual images of glasses containing red wine. Each file name is unique and contains information of the parameters under which the photograph was taken (see DATA-SPECIFIC INFOR-MATION for details). For example: The file Rea_Rio_C_Bor_175_nd_nd_fr10_nd_nd_ar2 corresponds to an almost real image (Rea), taken in La Rioja (Rio), of a “crianza wine”(C), in a Bourgogne wine glass (Bor), with a volume of 175 mL (175), taken at none defined time (nd) and undefined lighting (nd), with a real back-ground (fr10) and without reference (nd) nor distance (nd) considerations, and upper angle (ar2)., Peer reviewed
DOI: http://hdl.handle.net/10261/284776, https://doi.org/10.20350/digitalCSIC/14816
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/284776
HANDLE: http://hdl.handle.net/10261/284776, https://doi.org/10.20350/digitalCSIC/14816
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/284776
PMID: http://hdl.handle.net/10261/284776, https://doi.org/10.20350/digitalCSIC/14816
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/284776
Ver en: http://hdl.handle.net/10261/284776, https://doi.org/10.20350/digitalCSIC/14816
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/284776
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/284780
Dataset. 2022
BRAINGUT_WINEUP REAL IMAGES [DATASET]
- Relaño de la Guía, Edgard
- Lloret Iglesias, Lara
- Aguilar, Fernando
- Cobo Cano, Miriam
- García Díaz, Daniel
- Heredia, Ignacio
- Yuste, Silvia
- Pérez-Matute, Patricia
- Motilva, María-José
- Bartolomé, Begoña
- Moreno-Arribas, M. Victoria
The photographs of glasses containing wine were acquired by wine consumers with different smartphones equipped with high-resolution cameras (12 or 48 MP). Photographs were previously designed considering usual photographic parameters (see DATA-SPECIFIC INFORMATION for details).-- The data have not been processed., The DATASET compiles 229 files corresponding to individual images of glasses containing red wine. The photographs of glasses containing wine were acquired by wine consumers with different smartphones equipped with high-resolution cameras (12 or 48 MP). Each file name is unique and contains information of the parameters under which the photo-graph was taken., This study was supported by MCIN (Ministerio de Ciencia e Innovación)/AEI (Agencia Estatal de Investigación)/10 .13039 /501100011033through the projects PID2019-108851RB-C21 & PID2019-108851RB-C22. The authors would like to thank CSIC Interdisciplinary Thematic Platform (PTI+) Digital Science and Innovation., The DATASET compiles 229 files corresponding to individual images of glasses containing red wine. Each file name is unique and contains information of the parameters under which the photograph was taken (see DATA-SPECIFIC INFOR-MATION for details). For example: The file Vol_Mad_C_Bor_175_Cena_nd_nd_nd_nd_nd corresponds to a real image taken by a consumer(#Vol), taken in Madrid (Mad), of a “crianza wine”(C), in a Bourgogne wine glass (Bor), with a volume of 175 mL (175), taken at dinner (Cena) with undefined lighting (nd) and a random real background (nd), and without reference (nd) nor distance (nd), nor angle (nd) considerations., Peer reviewed
DOI: http://hdl.handle.net/10261/284780, https://doi.org/10.20350/digitalCSIC/14817
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/284780
HANDLE: http://hdl.handle.net/10261/284780, https://doi.org/10.20350/digitalCSIC/14817
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/284780
PMID: http://hdl.handle.net/10261/284780, https://doi.org/10.20350/digitalCSIC/14817
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/284780
Ver en: http://hdl.handle.net/10261/284780, https://doi.org/10.20350/digitalCSIC/14817
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/284780
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329547
Dataset. 2022
SUPPORTING INFORMATION FOR PREPARATION, SUPRAMOLECULAR ORGANIZATION, AND ON-SURFACE REACTIVITY OF ENANTIOPURE SUBPHTHALOCYANINES: FROM BULK TO 2D-POLYMERIZATION
- Labella, Jorge
- Lavarda, Giulia
- Hernández-López, Leyre
- Aguilar, Fernando
- Díaz-Tendero, Sergio
- Lobo-Checa, Jorge
- Torres, Tomás
General information, experimental procedures, new compound characterization, crystallographic data, HPLC chromatograms, NMR spectra, DFT calculations, and STM data., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/329547
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329547
HANDLE: http://hdl.handle.net/10261/329547
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329547
PMID: http://hdl.handle.net/10261/329547
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329547
Ver en: http://hdl.handle.net/10261/329547
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329547
CORA.Repositori de Dades de Recerca
doi:10.34810/data263
Dataset. 2012
GRAF VERSION OF SPANISH PORTIONS OF WIKIPEDIA CORPUS
- Universitat Politècnica de Catalunya. Research Group on Natural Language Processing
- Gemma Boleda
- Universitat Pompeu Fabra. Institut Universitari de Lingüística Aplicada (IULA)
This is the stand-off GrAF version of Spanish portions of the Wikipedia (based on a 2006 dump). This Wikipedia Spanish Corpus contains 257019 articles that contain about 150,1 million words in raw text format. It has been cleaned by erasing disambiguation pages, removing some XML tags and homogenizing lists ending tag. Then, the corpus has been processed for adding structural tagging (head, paragraph, sentence, list, etc.) and morphosyntactic information.
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data264
Dataset. 2012
IULA SPANISH LSP TREEBANK
- Universitat Pompeu Fabra. Institut Universitari de Lingüística Aplicada (IULA)
-
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data265
Dataset. 2012
IULA PENN TREEBANK
- Universitat Pompeu Fabra. Institut Universitari de Lingüística Aplicada (IULA)
This treebank consists of a number of Spanish and English sentences that has been manually annotated with syntactical information. The sentences have been choosed from the Penn TreeBank corpus, a resource containing texts from Wall Street Journal and originally compiled by the University of Pennsylvania./nIt contains 805 sentences that have been human translated to Spanish. The original English and the translated Spanish sentences share the same identification number. Sentences in both languages have been processed using the DELPH-IN environment (http://www.delph-in.net/).
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data266
Dataset. 2012
GRAF VERSION OF CATALAN PORTIONS OF WIKIPEDIA CORPUS
- Universitat Politècnica de Catalunya. Research Group on Natural Language Processing
- Gemma Boleda
- Universitat Pompeu Fabra. Institut Universitari de Lingüística Aplicada (IULA)
This is the stand-off GrAF version of Catalan portions of the Wikipedia (based on a 2006 dump). This Wikipedia Catalan Corpus contains 122052 articles that contain about 47,3 million words in raw text format. It has been cleaned by erasing disambiguation pages, removing some XML tags and homogenizing lists ending tag. Then, the corpus has been processed for adding structural tagging (head, paragraph, sentence, list, etc.) and morphosyntactic information.
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data268
Dataset. 2012
IULA SPANISH-ENGLISH TECHNICAL CORPUS
- Universitat Pompeu Fabra. Institut Universitari de Lingüística Aplicada (IULA)
The corpus consists of a number of specialized texts (Law, Economics, Medicine, Environment and Computer Science domains) available in both Spanish and English languages. This LSP corpus has been compiled with articles from specialized Publications, PhD theses, etc./nIt contains about a total of about 2,1 M words in 127 documents in each language.
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data269
Dataset. 2012
ENGLISH-GALICIAN CLUVI DICTIONARY
- Universidade de Vigo. Grupo de investigación TALG
- Universitat Pompeu Fabra. Institut Universitari de Lingüística Aplicada (IULA)
This is the LMF version of the English-Galician CLUVI Dictionary developed under the direction of Xavier Gómez Guinovart (2005-2012) from parallel texts in the CLUVI Corpus of the University of Vigo.
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data270
Dataset. 2012
CORPUS92 CORPUS
- Universitat Pompeu Fabra. Institut Universitari de Lingüística Aplicada (IULA)
-
Proyecto: //
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