Resultados totales (Incluyendo duplicados): 10
Encontrada(s) 1 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310431
Dataset. 2021

RETURN LEVELS OF MEDICANE-INDUCED WAVES AND COASTAL SEA SURFACE ELEVATION FOR 10 AND 100 YEAR RETURN PERIODS

  • Toomey, Tim
  • Amores, Ángel
  • Marcos, Marta
  • Orfila, Alejandro
  • Romero, Romualdo
Each .mat file, contains the following variables: - latitude/longitude: coastal point for the Mediterranean basin and islands within it; Dim = [7784,1] - elev_Rea, Hs_Rea: return levels computed for the present climate; Dim = [7784,1] - elev_Hist, elev_Rcp85, Hs_Hist, Hs_Rcp85: return levels computed for the historical asnd projected climate (from the 20 GCMs model used, see article); Dim = [7784,20], We provide return level data used for the assessement coastal hazards of Medicanes in the upcoming article "Coastal hazards of tropical-like cyclones over the Mediterranean Sea". For both significant wave height at 20m depth and coastal sea surface elevation, return levels are provided at 10 year (RLs_10year.mat) and 100 year (RLs_100year.mat) return periods., RLs_100year.mat; RLs_10year.mat, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310431
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310431
HANDLE: http://hdl.handle.net/10261/310431
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310431
PMID: http://hdl.handle.net/10261/310431
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310431
Ver en: http://hdl.handle.net/10261/310431
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310431

CORA.Repositori de Dades de Recerca
doi:10.34810/data102
Dataset. 2021

SPME-GC-MS RAW DATA FOR THE DEVELOPMENT OF PROFILING AND FINGERPRINTING ANALYSIS OF SESQUITERPENE HYDROCARBONS FOR THE GEOGRAPHICAL AUTHENTICATION OF EXTRA VIRGIN OLIVE OILS

  • Quintanilla-Casas, Beatriz
  • Bertin, Sofia
  • Leik, Kerstin
  • Bustamante Alonso, Julen
  • Guardiola Ibarz, Francesc
  • Valli, Enrico
  • Bendini, Alessandra
  • Gallina Toschi, Tullia
  • Tres Oliver, Alba
  • Vichi, S. (Stefania)
Data base containing SPME-GC-MS raw analytical data obtained and used by Quintanilla-Casas et al. (Food Chemistry, 2020, 125556). Data correspond to 82 authentic and traceable olive oil samples, declared as EVOO by the suppliers obtained in the framework of OLEUM project (EC H2020 Programme 2014–2020) from seven different EU and non-EU countries: Croatia (n=11); Slovenia (SVN) (n=8); Spain (ESP) (n=17); Italy (ITA) (n=15); Greece (GRC) (n=6); Morocco (MAR) (n=15) and Turkey (TUR) (n=10). With the aim of reflecting the real production scenario, EVOO samples in this prospective study were obtained under usual production practices for commercial purposes, and thus consisted of both monovarietal oils as well as market blends of olive cultivars typical of each geographical origin. Briefly, data correspond to SPME-GC-MS scan intensities of the specific sesquiterpene hydrocarbon (SH) ions (m/z 93, 107, 119, 135, 157, 159, 161, 189 and 204) obtained from the Total Ion Current (TIC) between the 18th to the 30th minute. Thus, 2467 scans were obtained for each m/z ion implying 22203 variables per sample.

Proyecto: //
DOI: https://doi.org/10.34810/data102
CORA.Repositori de Dades de Recerca
doi:10.34810/data102
HANDLE: https://doi.org/10.34810/data102
CORA.Repositori de Dades de Recerca
doi:10.34810/data102
PMID: https://doi.org/10.34810/data102
CORA.Repositori de Dades de Recerca
doi:10.34810/data102
Ver en: https://doi.org/10.34810/data102
CORA.Repositori de Dades de Recerca
doi:10.34810/data102

CORA.Repositori de Dades de Recerca
doi:10.34810/data123
Dataset. 2021

THREE-WAY GC-MS RAW DATA OF OLIVE OIL VOLATILE FINGERPRINT

  • Quintanilla-Casas, Beatriz
  • Marin, Marco
  • Guardiola Ibarz, Francesc
  • García-González, Diego Luis
  • Barbieri, Sara
  • Bendini, Alessandra
  • Gallina Toschi, Tullia
  • Vichi, Stefania
  • Tres, Alba
Data base containing SPME-GC-MS raw analytical data obtained and used by Quintanilla-Casas et al. (Foods, 9: 1509). Data correspond to the volatile fingerprint of 305 authentic and traceable virgin olive oil samples produced in several EU and non-EU countries during two consecutive crop years (2016–2017 and 2017–2018), and to the information the olive oil category assigned by six official sensory panels in the framework of OLEUM project (EC H2020 Programme 2014–2020). TIC were extracted, aligned, and used to in-house validate the analytical fingerprint and to validate the screening tool to support virgin olive oil sensory panels. This screening tool was based on a PLS-DA classification approach to discriminate the virgin olive oil categories (extra virgin, virgin and lampante olive oil).

Proyecto: //
DOI: https://doi.org/10.34810/data123
CORA.Repositori de Dades de Recerca
doi:10.34810/data123
HANDLE: https://doi.org/10.34810/data123
CORA.Repositori de Dades de Recerca
doi:10.34810/data123
PMID: https://doi.org/10.34810/data123
CORA.Repositori de Dades de Recerca
doi:10.34810/data123
Ver en: https://doi.org/10.34810/data123
CORA.Repositori de Dades de Recerca
doi:10.34810/data123

CORA.Repositori de Dades de Recerca
doi:10.34810/data34
Dataset. 2021

TRIACYLGLYCEROL PROFILING DATA OF OLIVE OIL SAMPLES OBTAINED BY FLOW INJECTION ANALYSIS-HEATED ELECTROSPRAY IONISATION-HIGH RESOLUTION MASS SPECTROMETRY (FIA-HESI-HRMS)

  • Quintanilla-Casas, Beatriz
  • Strocchi, Giulia
  • Bustamante Alonso, Julen
  • Torres-Cobos, Berta
  • Guardiola Ibarz, Francesc
  • Moreda, Wenceslao
  • Martínez-Rivas, José Manuel
  • Valli, Enrico
  • Bendini, Alessandra
  • Gallina Toschi, Tullia
  • Tres Oliver, Alba
  • Vichi, Stefania
Data base containing data on the triacylclgyerol profile of genuine and adulterated olive oils obtained by Flow Injection Analysis-Heated Electrospray Ionisation-High Resolution Mass Spectrometry (FIA-HESI-HRMS). Data (total ion chromatograms) were obtained and used by Quintanilla-Casas et al. (Food Control, 2021, 123: 107851). Data correspond to relative abundances obtained for each mass signal that agreed with single positive charged sodium molecular ions and that could match with a triacylglycerol elemental formula (mass tolerance error set at 5ppm; molecular formulae calculation performed with Xcalibur 4.1. (Thermo Fisher Scientific, Bremen, Germany). This data base includes samples used in the study that were obtained by the OLEUM consortium. Samples included genuine olive oils, as well as Taylor-made adulterations blending genuine olive oils with other vegetable oils as adulterants (sunflower oli; soy oil; high oleic sunflower oil; avocado oil (refined and virgin); hazelnut oil (refined and virgin)). Blind samples are also included in the data base. Partial Least Squares-Discriminant Analysis (PLS-DA) was applied to these data to develop two independent binary models that discriminated between (i) genuine oils and blends with ≥2% of HL adulterants, and (ii) genuine oils and blends with ≥5% of HO adulterants, as described in Quintanilla-Casas et al., 2021.

Proyecto: //
DOI: https://doi.org/10.34810/data34
CORA.Repositori de Dades de Recerca
doi:10.34810/data34
HANDLE: https://doi.org/10.34810/data34
CORA.Repositori de Dades de Recerca
doi:10.34810/data34
PMID: https://doi.org/10.34810/data34
CORA.Repositori de Dades de Recerca
doi:10.34810/data34
Ver en: https://doi.org/10.34810/data34
CORA.Repositori de Dades de Recerca
doi:10.34810/data34

CORA.Repositori de Dades de Recerca
doi:10.34810/data35
Dataset. 2021

TOTAL ION CHROMATOGRAMS OBTAINED BY SPME-GC-MS OF VOLATILE FINGERPRINT OF OLIVE OIL SAMPLES FROM VARIOUS HARVESTS (N=305)

  • Quintanilla-Casas, Beatriz
  • Marin, Marco
  • Guardiola Ibarz, Francesc
  • García-González, Diego Luis
  • Barbieri, Sara
  • Bendini, Alessandra
  • Gallina Toschi, Tullia
  • Vichi, Stefania
  • Tres, Alba
Data base containing SPME-GC-MS raw analytical data (total ion chromatograms, not aligned) obtained and used by Quintanilla-Casas et al. (Foods, 9: 1509). Data correspond to the volatile fingerprint of 305 authentic and traceable virgin olive oil samples produced in several EU and non-EU countries during two consecutive crop years (2016–2017 and 2017–2018), and to the information on the sensory attributes, defects and the olive oil category assigned by six official sensory panels in the framework of OLEUM project (EC H2020 Programme 2014–2020). Briefly, data correspond to SPME-GC-MS scan intensities of the total ion chromatogram at each retention time from 5.5 to 61.96 min. These data were aligned and used to in-house validate the analytical fingerprint and to validate the screening tool to support virgin olive oil sensory panels. This screening tool was a PLS-DA classification apporach to discriminate the virgin olive oil categories (extra virgin, virgin and lampante olive oil).

Proyecto: //
DOI: https://doi.org/10.34810/data35
CORA.Repositori de Dades de Recerca
doi:10.34810/data35
HANDLE: https://doi.org/10.34810/data35
CORA.Repositori de Dades de Recerca
doi:10.34810/data35
PMID: https://doi.org/10.34810/data35
CORA.Repositori de Dades de Recerca
doi:10.34810/data35
Ver en: https://doi.org/10.34810/data35
CORA.Repositori de Dades de Recerca
doi:10.34810/data35

CORA.Repositori de Dades de Recerca
doi:10.34810/data95
Dataset. 2021

TOTAL ION CHROMATOGRAMS OBTAINED BY SPME-GC-MS OF VOLATILE FINGERPRINT OF OLIVE OIL SAMPLES (N=174)

  • Quintanilla-Casas, Beatriz
  • Bustamante Alonso, Julen
  • Guardiola Ibarz, Francesc
  • García-González, Diego Luis
  • Barbier, Sara
  • Bendini, Alessandra
  • Gallina Toschi, Tullia
  • Vichi, S. (Stefania)
  • Tres Oliver, Alba
Dataset containing SPME-GC-MS raw analytical data (total ion chromatograms, not aligned) obtained and used by Quintanilla-Casas et al. (LWT - Food Science and Technology 121: 108936). Data correspond to the volatile fingerprint of 174 authentic and traceable virgin olive oil samples previously graded by six official sensory panels (data from 2 outlier samples are not included) in the framework of OLEUM project (EC H2020 Programme 2014–2020). Briefly, data correspond to SPME-GC-MS scan intensities of the total ion chromatogram at each retention time from 5.5 to 61.96 min. These data were aligned and used under a fingerprinting approach by Quintanilla-Casas et al. to develop a classification model (PLS-DA approach) to verify the sensory quality of virgin olive oils, and it was suggested as an instrumental method to support sensory panels.

Proyecto: //
DOI: https://doi.org/10.34810/data95
CORA.Repositori de Dades de Recerca
doi:10.34810/data95
HANDLE: https://doi.org/10.34810/data95
CORA.Repositori de Dades de Recerca
doi:10.34810/data95
PMID: https://doi.org/10.34810/data95
CORA.Repositori de Dades de Recerca
doi:10.34810/data95
Ver en: https://doi.org/10.34810/data95
CORA.Repositori de Dades de Recerca
doi:10.34810/data95

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229660
Dataset. 2020

SOCIB INT RADARAPM JUL2016. LAGRANGIAN EXPERIMENT IBIZA CHANNEL

  • Reyes, Emma
  • Mourre, Baptiste
  • Wirth, Nikolaus
  • Balaguer, Pau
  • Casas, Benjamín
  • Troupin, Charles
  • Muñoz, Cristian
  • Orfila, Alejandro
  • Tintoré, Joaquín
Lagrangian experiment in the Ibiza channel during Summer 2016, aiming to validate HF-Radar surface currents (new Antenna Pattern Measurement)

Proyecto: //
DOI: http://hdl.handle.net/10261/229660
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229660
HANDLE: http://hdl.handle.net/10261/229660
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229660
PMID: http://hdl.handle.net/10261/229660
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229660
Ver en: http://hdl.handle.net/10261/229660
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229660

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229663
Dataset. 2014

SOCIB EXP RADAR SEP2014

  • Tintoré, Joaquín
  • Lana, Arantxa
  • Marmain, Julien
  • Fernández, Vicente
  • Orfila, Alejandro
The aim of this experiment was to assess the operational HF radar surface current velocities in the Ibiza Channel in a Lagrangian framework, by comparing against surface drifter derived velocities"

Proyecto: //
DOI: http://hdl.handle.net/10261/229663
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229663
HANDLE: http://hdl.handle.net/10261/229663
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229663
PMID: http://hdl.handle.net/10261/229663
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229663
Ver en: http://hdl.handle.net/10261/229663
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229663

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/235975
Dataset. 2012

TOSCA CRUISE, RV GARCÍA DEL CID

  • Orfila, Alejandro
  • CSIC - Unidad de Tecnología Marina (UTM)
TOSCA Cruise (29GD20121025) carried out on the Research Vessel García del Cid in 2012, Tracking oil spills and coastal awareness.The proposed campaign aims to establish the hydrodynamic conditions in the southern area of ​​the Sea Balear with four fundamental objectives: i) validate the 3D fields obtained by a system of operational prediction, ii) validate the algorithms developed to obtain the fields superficial measured by the HF radar of the SOCIB; iii) study with buoy data "in situ"derived from the group requesting turbulent dispersion on the surface and iv) validating the measures and algorithms developed for the periodic, continuous and autonomous sampling carried out in the Ibiza channel a deepwater glidder of the Department of Marine Technologies of the IMEDEA An attached CTD campaign is requested as well as the ADCP

Proyecto: //
DOI: http://hdl.handle.net/10261/235975
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/235975
HANDLE: http://hdl.handle.net/10261/235975
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/235975
PMID: http://hdl.handle.net/10261/235975
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/235975
Ver en: http://hdl.handle.net/10261/235975
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/235975

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/239546
Dataset. 2021

A 60 YEAR WAVE HINDCAST DATASET IN THE CARIBBEAN SEA [DATASET]

  • Orejarena-Rondón, Andrés F.
  • Orfila, Alejandro
  • Restrepo, Juan C.
  • Ramos, Isabel M.
  • Hernández Carrasco, Ismael
Each file contains significant wave height (Hs), mean wave period (Tm_01) (Tmm_10), mean wave direction (θ_m), latitude, longitude and time for a specific year. Each file in NetCDF format is around 1GB size containing the above data every 6 hours at 00h, 06h, 12h and 18h. Data cover from January, 1^st 1958 to December, 〖31〗^st 2017 on a 229 x101 mesh nodes with a resolution of 11.8 km x 11.4 km. Bottom left corner coordinates are -84.52° W; 8.1° N., AOR is supported by COLCIENCIAS (Departamento Administrativo de Ciencia, Tecnología e Innovación) through a PhD grant from “Convocatoria 727” and from a POGO fellowship at the Mediterranean Institute for Advanced Studies. Authors acknowledge financial support from the Spanish Government MICINN/FEDER through MOCCA Project (RTI2018-093941-B-C31)., Peer reviewed

DOI: http://hdl.handle.net/10261/239546
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/239546
HANDLE: http://hdl.handle.net/10261/239546
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/239546
PMID: http://hdl.handle.net/10261/239546
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/239546
Ver en: http://hdl.handle.net/10261/239546
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/239546

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