Resultados totales (Incluyendo duplicados): 75
Encontrada(s) 8 página(s)
Encontrada(s) 8 página(s)
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/234867
Set de datos (Dataset). 2017
METADATA AMT 2010 DATASET
- Aguilar, Fernando
- Marco, Jesús
- García Díaz, Daniel
EML metadata document used as prototype for Cuerda del Pozo reservoir research., Version 4, Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/234867
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/234867
HANDLE: http://hdl.handle.net/10261/234867
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/234867
PMID: http://hdl.handle.net/10261/234867
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/234867
Ver en: http://hdl.handle.net/10261/234867
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/234867
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/234871
Set de datos (Dataset). 2017
AMT CUERDA DEL POZO 2010
- Aguilar, Fernando
- Marco, Jesús
- Monteoliva, Agustín
AMT data from Cuerda del Pozo Reservoir in 2010. It includes: Temperature, Pressure, Conductivity, Dissolved Oxygen, raw O2, Oxygen saturation, ph and redex values., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/234871
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/234871
HANDLE: http://hdl.handle.net/10261/234871
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/234871
PMID: http://hdl.handle.net/10261/234871
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/234871
Ver en: http://hdl.handle.net/10261/234871
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/234871
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/234893
Set de datos (Dataset). 2017
AMT CUERDA DEL POZO 2010-2016
- Aguilar, Fernando
- Marco, Jesús
- Monteoliva, Agustín
AMT data from Cuerda del Pozo Reservoir in 2010. It includes: Temperature, Pressure, Conductivity, Dissolved Oxygen, raw O2, Oxygen saturation, ph and redex values., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/234893
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/234893
HANDLE: http://hdl.handle.net/10261/234893
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/234893
PMID: http://hdl.handle.net/10261/234893
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/234893
Ver en: http://hdl.handle.net/10261/234893
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/234893
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/234899
Set de datos (Dataset). 2017
MODELLED TEMPERATURE IN CUERDA DEL POZO RESERVOIR
- Aguilar, Fernando
This dataset in NetCDF format stores the modelled temperature of Cuerda del Pozo reservoir produced by Delft3D software., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/234899
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/234899
HANDLE: http://hdl.handle.net/10261/234899
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/234899
PMID: http://hdl.handle.net/10261/234899
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/234899
Ver en: http://hdl.handle.net/10261/234899
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/234899
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/256232
Set de datos (Dataset). 2021
WINEGUT_BRAINUP LABORATORY 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 DATASET compiles 24.305 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 INFORMATION for details).
The photographs of glasses containing wine were acquired 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)., This study was financially supported by Grants PID2019-108851RB-C21 and PID2019- 108851RB-C22 (Spanish Ministry of Science and Innovation), and co-funded by the European Social Fund (“FEDER Una manera de hacer Europa”), European Union., Peer reviewed
DOI: http://hdl.handle.net/10261/256232
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/256232
HANDLE: http://hdl.handle.net/10261/256232
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/256232
PMID: http://hdl.handle.net/10261/256232
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/256232
Ver en: http://hdl.handle.net/10261/256232
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/256232
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/284776
Set de datos (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
Set de datos (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:10261/361272
Set de datos (Dataset). 2024
CODE AND PREPROCESSED DATASET FOR THE ASSESSMENT OF THE THERMAL STRATIFICATION OF RESERVOIRS BASED ON READILY AVAILABLE DATA
- Castrillo, María
- Aguilar, Fernando
- García Díaz, Daniel
Code and preprocessed dataset used in the work "A data-driven approach for the assessment of the thermal stratification of reservoirs based on readily available data."
Original data were obtained from the web page of the Ebro Automatic Water Quality Information System (SAICA Ebro) and the web page of the Ebro Automatic Hydrographic Information System (SAIH Ebro), in particular from the weather station of El Val (code EM71) and the monitoring station of the reservoir storage state (code E071). The data were preprocessed as explained in the article., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/361272
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/361272
HANDLE: http://hdl.handle.net/10261/361272
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/361272
PMID: http://hdl.handle.net/10261/361272
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/361272
Ver en: http://hdl.handle.net/10261/361272
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/361272
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/387212
Set de datos (Dataset). 2024
DATASET ON SUB-DAILY VERTICAL PROFILES OF PHYSICOCHEMICAL PARAMETERS AND CHLOROPHYLL CONCENTRATION IN EL VAL RESERVOIR, TOGETHER WITH ITS DAILY METEOROLOGICAL DATA, STORAGE STATE AND DOWNSTREAM FLOW (2018-2022)
- Castrillo, María
- García Díaz, Daniel
- Aguilar, Fernando
The original data were collected by the Confederación Hidrográfica del Ebro (CHE) and were published in real time through the web page of the Ebro Automatic Water Quality Information System (SAICA Ebro by its initials in Spanish) and the Ebro Automatic Hydrographic Information System (SAIH Ebro by its initials in Spanish). Then, the CHE curated the data that are finally available to the citizens under request by variable and date. In order to facilitate their availability and reuse, these data have been gathered, pre-processed and packaged in the form of datasets. Specifically, they are structured in four data tables: vertical profiles of physicochemical data in the reservoir, meteorological data in the same basin, water level and stored water volume in the reservoir and water flow rate of the Queiles River downstream of the reservoir., This data table contains sub-daily physicochemical data and chlorophyll concentration data, that were collected by a multiparametric probe (aquaDam, Adasa Systems) that is hanging from a structure located in the dam. Every 6 hours it makes a vertical profile taking the measurements at each metre of depth from the surface to approximately 573 m.a.s.l., that is to say, between 2 and 3 metres above the bottom outlet., Daily meteorological data from the weather station located in Los Fayos (Zaragoza, Spain) municipality, that includes wind speed, radiation, precipitation and temperature data., Daily level and volume of the 'El Val' reservoir between 2018 and 2022., Daily flow of the Queiles River in Los Fayos (Zaragoza, Spain) municipality, including minimum, maximum and mean values., This dataset contains the physicochemical parameters and chlorophyll concentration of El Val reservoir (province of Zaragoza, Spain), together with its meteorological conditions, the water level, the stored volume and the flow rate of the effluent, the Queiles River, a few meters downstream of the dam. These data are useful to feed deterministic, data driven or hybrid hydrological models with different purposes, like the identification of the impact of meteorological conditions on the physicochemical properties of the reservoir, like the thermal stratification, as well as the assessment of different management strategies in the reservoir., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/387212
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/387212
HANDLE: http://hdl.handle.net/10261/387212
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/387212
PMID: http://hdl.handle.net/10261/387212
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/387212
Ver en: http://hdl.handle.net/10261/387212
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/387212
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/397150
Set de datos (Dataset). 2025
INTEGRALIMENTA APPLE FRUIT LABORATORY IMAGES [DATASET]
- Motilva, María-José
- Bartolomé, Begoña
- Moreno-Arribas, M. Victoria
- Izquierdo González, Pablo
- Aragón Espinosa, Patricia
- Relaño de la Guía, Edgard
- Cobo Cano, Miriam
- Heredia, Ignacio
- García Díaz, Daniel
- Aguilar, Fernando
- Lloret Iglesias, Lara
- Yuste, Silvia
- Íñiguez, María
- Pérez-Matute, Patricia
For the generation of the dataset, pieces of apples of different weight ranges (108-320 g). For each pieze of apple fruit, 72 photographs were taken. To train the model, each photograph was identified with the exact weight of the apple piece and the different conditions (type of support, distance and camera angle). To train the model, each photograph was identified with the exact weight of the fruit piece and the different conditions (type of support, distance and camera angle)., The DATASET compiles 12960 files corresponding to individual images of an apple fruit piece (weight between 108 to 320 g) of three commercial varieties (Fuji, Golden and Granny Smith). Each file name is unique and contains information of the parameters under which the photograph was taken (see DATA-SPECIFIC INFORMATION for details). The photographs of the apples were acquired 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)., Spanish Goverment: MCIN (Ministerio de Ciencia e Innovación)/AEI (Agencia Estatal de Investigación)/10.13039/501100011033 and the European Union NextGenerationEU/PRTR through the projects ‘Prueba de Concepto’ PDC2022-133861-C21 and PDC2022-133861-C22, Peer reviewed
DOI: http://hdl.handle.net/10261/397150, https://doi.org/10.20350/digitalCSIC/17503
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/397150
HANDLE: http://hdl.handle.net/10261/397150, https://doi.org/10.20350/digitalCSIC/17503
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/397150
PMID: http://hdl.handle.net/10261/397150, https://doi.org/10.20350/digitalCSIC/17503
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/397150
Ver en: http://hdl.handle.net/10261/397150, https://doi.org/10.20350/digitalCSIC/17503
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/397150
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