Resultados totales (Incluyendo duplicados): 45603
Encontrada(s) 4561 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/227776
Dataset. 2021

EPIGENETIC HETEROGENEITY AMONG MODULES OF INDIVIDUAL LAVANDULA LATIFOLIA PLANTS

  • Herrera, Carlos M.
  • Bazaga, Pilar
  • Pérez, Ricardo
  • Alonso, Conchita
The dataset consists of two comma-delimited plain text files for global methylation and MS-AFLP data, respectively. In each file, each row refers to an individual module. For MS-AFLP columns refers to a specific (although anonymous) marker, identified by primer combination and size (base pairs). Three L. latifolia shrubs were sampled at a large population growing near Arroyo Aguaderillos in the Sierra de Cazorla (Jaén province, southeastern Spain; geographical coordinates 37.96157 N, 2.88389 W). Fresh leaf samples were collected from as many individual modules as possible in each plant. DNA cytosine methylation was determined for each sample by reversed phase HPLC with spectrofluorimetric detection. Global cytosine methylation was estimated as 100 x 5mdC/(5mdC + dC), where 5mdC and dC are the integrated areas under the peaks for 5-methyl-2'-deoxycytidine and 2'-deoxycytidine, respectively. The MS-AFLP analyses were performed using standard protocols involving the use of fluorescent dye-labeled selective primers. Each sample was fingerprinted using eight primer combinations, each with two (HpaII) or three (MseI) selective nucleotides. Fragment separation and detection was made using an ABI PRISM 3130xl DNA sequencer, only fragments ≥ 150 base pairs in size were considered and the presence (1) or absence (0) of fragments in each sample was scored manually by visualizing electropherograms with GeneMapper 3.7 software, This dataset includes: (i) global DNA cytosine methylation estimates (= percentage of all genomic cytosines that are methylated), obtained by reverse phase HPLC with spectrofluorimetric detection; and (ii) the scoring (presence/absence) of individual methylation-sensitive AFLP markers (MS-AFLP), for different modules of three adult, wild-grown, field-sampled plants of the shrub Lavandula latifolia., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/227776
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/227776
HANDLE: http://hdl.handle.net/10261/227776
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/227776
PMID: http://hdl.handle.net/10261/227776
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/227776
Ver en: http://hdl.handle.net/10261/227776
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/227776

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/228237
Dataset. 2021

EXPERIMENTAL DATA FILES OF MANUSCRIPT PROTEIN BIOMARKERS OF BOVINE DEFECTIVE MEATS AT A GLANCE: GEL-FREE HYBRID QUADRUPOLE-ORBITRAP ANALYSIS FOR RAPID SCREENING

  • Sentandreu, Enrique
  • Fuente García, Claudia
  • Pardo, Olga
  • Oliván, Mamen
  • León, Núria
  • Aldai, Noelia
  • Yusà, Vicent
  • Sentandreu, Miguel Angel
The dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Please, read the full ODbL 1.0 license text for the exact terms that apply. Users of the dataset are free to: Share: copy, distribute and use the database, either commercially or non-commercially. Create: produce derivative works from the database. Adapt: modify, transform and build upon the database. Under the following conditions: Attribution: You must attribute any public use of the database, or works produced from the database. For any use or redistribution of the database, or works produced from it, you must make clear to others the license of the original database. Share-Alike: If you publicly use any adapted version of this database, or works produced from an adapted database, you must also offer that adapted database under the ODbL., Department of Economic Development and Infrastructures of the Basque Government is acknowledged for the doctoral fellowship of C.F.G. Funding from Project RTA2014-00034-C04 (Spanish Instituto Nacional de Investigación y Tecnología Agraria, INIA), funding and contract of E. Sentandreu from project RTI2018-096162-R-C22 (Spanish Agencia Estatal de Investigación) and FEDER founds are also fully acknowledged., List of experimental data: A-Original raw LC-MS datafiles in mzXML format: -Merged MS1-MS/MS analyses: QexNORMALhesiOFFMS1MS2 QexHIGHhesiOFFhesiOFFMS1MS2 -Isolated MS1 analysis: QexNORMALhesiOFFMS1 QexHIGHhesiOFFMS1 B-Mascot Generic Format (.mgf) files from ddMS2 data to be interrogated by MASCOT search engine. -QexHIGHhesiOFF.mgf -QexNORMALhesiOFF.mgf, Peer reviewed

DOI: http://hdl.handle.net/10261/228237
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/228237
HANDLE: http://hdl.handle.net/10261/228237
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/228237
PMID: http://hdl.handle.net/10261/228237
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/228237
Ver en: http://hdl.handle.net/10261/228237
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/228237

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229183
Dataset. 2021

SUPPLEMENTAL MATERIAL AJP-HCP IFN ARE PRO-INFLAMMATORY CYTOKINES IN SHEARED SIDE-SPECIFIC HUMAN VEC

SUPPLEMENTAL MATERIAL AJP-HCP PARRA-IZQUIERDO ET AL

  • Parra Izquierdo, Iván
  • Sánchez-Bayuela, Tania
  • López Díaz, Javier
  • Gómez, Cristina
  • San Román, José Alberto
  • Sánchez Crespo, Mariano
  • Yacoub, Magdi
  • Chester, Adrian H.
  • García-Rodríguez, Carmen
Supplemental material that contains; - method for the characterization of valvular endothelial cells by immunostaining. - Supplemental Figure S1. Characterization of aortic valve endothelial cells. - Supplemental Figure S2. Cell counting corresponding to Fig 7 of the manuscript. - Supplemental Table S1. Clinical features of patients used in the study of mixed VEC population. - Supplemental Table S2. Clinical characteristics of patients used in the study of aortic- and ventricular-sided endothelial cells., This work was supported by grants from Spanish Ministry of Economy and Competitiveness, co-funded by the European Social Fund FEDER (SAF2013-44521-R, SAF2017-83079-R); Junta de Castilla y León (BIO/VA47/14, BIO/VA36/15, CSI035P17 and, GRS1432/A/16, GRS2205/A/2020, and Programa Estratégico IBGM-Escalera de Excelencia Ref. CLU-2019-02); Fundación Domingo Martínez; and the Instituto de Salud Carlos III (Spanish Ministry of Health PI14/00022, CIBERCV CB16/11/00260). IP and TSB, PhD fellows from Valladolid University-Banco de Santander. AC was funded by the Magdi Yacoub Institute., Peer reviewed

DOI: http://hdl.handle.net/10261/229183
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229183
HANDLE: http://hdl.handle.net/10261/229183
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229183
PMID: http://hdl.handle.net/10261/229183
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229183
Ver en: http://hdl.handle.net/10261/229183
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229183

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229254
Dataset. 2021

OLEUM PROJECT. PEER INTER-LABORATORY VALIDATION STUDY OF A HARMONIZED SPME-GC-FID METHOD FOR THE ANALYSIS OF SELECTED VOLATILE COMPOUNDS IN VIRGIN OLIVE OILS [DATASET]

  • Casadei, Enrico
  • Valli, Enrico
  • Aparicio-Ruiz, R.
  • Ortiz-Romero, Clemente
  • García-González, Diego L.
  • Vichi, Stefania
  • Quintanilla-Casas, Beatriz
  • Tres, Alba
  • Bendini, Alessandra
  • Gallina Toschi, Tullia
This data set contains the underlying data of the scientific publication: Casadei, Enrico; Valli, Enrico; Aparicio-Ruiz, Ramón; Ortiz-Romero, Clemente; García-González, Diego L.; Vichi, Stefania; Quintanilla-Casas, Beatriz; Tres, Alba; Bendini, Alessandra; Gallina Toschi, Tullia; 2021; Peer inter-laboratory validation study of a harmonized SPME-GC-FID method for the analysis of selected volatile compounds in virgin olive oils. Food Control 123, 107823. https://doi.org/10.1016/j.foodcont.2020.107823. In the context of supporting the panel test in the classification of virgin olive oils, the qualitative and quantitative analysis of a number of volatile compounds responsible for their aroma is of great importance. Herein, the data obtained from three laboratories that analyzed the same samples are presented with the view to develop an inter-laboratory validation study of a harmonized solid-phase micro-extraction coupled with gas-chromatography with flame ionized detector (SPME-GC-FID) method for determination of selected volatile compounds. The dataset presents the results of the validation study. Three quantification strategies were considered. Repeatability showed a mean relative standard deviation (RSD%) lower than 14% except for ethyl propanoate, 3-methyl-1-butanol, 1-octen-3-ol, and (E)-2-decenal. Linearity was satisfactory (R2 > 0.90) for all compounds when the calibration curves were corrected by the internal standard. The results are showed for 18 volatile compounds that were selected for being for volatile markers of the main sensory defects of virgin olive oil., EC - H2020., Peer reviewed

Proyecto: EC/H2020/635690
DOI: http://hdl.handle.net/10261/229254
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229254
HANDLE: http://hdl.handle.net/10261/229254
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229254
PMID: http://hdl.handle.net/10261/229254
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229254
Ver en: http://hdl.handle.net/10261/229254
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229254

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229439
Dataset. 2021

LEGAL BLENDS BETWEEN OLIVE AND SUNFLOWER OILS (2021)

  • Gómez-Coca, R. B.
  • Pérez Camino, María del Carmen
  • Moreda, Wenceslao
Excel file consisting of 12 sheets in which the composition of a number of olive oil and sunflower oil samples and their corresponding mixtures are given. Data show triacylglycerol, sterol, tocopherol, and linear aliphatic hydrocarbon contents. It also includes the five resulting tables published as part of Food Chemistry, volume 315, 15 June 2020, 126235. Data must be read and interpret within the context of such publication., These data were generated in our lab, with the help of several laboratory assistants and master students, within the OLEUM project (http://www.oleumproject.eu): ‘Advanced solutions for assuring the authenticity and quality of olive oil at a global scale’ . The general objectives of the Project focus on olive oil fraud detection in a way that it improves the existing analytical methods and has developed new strategies of analysis. It has been organized in seven work packages distributed in a number of tasks. This work is within Work Package 4 (‘Analytical solution addressing olive oil authentication issues’), and it concentrates on the study of legal blends between olive oils and other vegetable oils. The notion of legal blends comes from the authorization of the European Commission to market blends of olive oil with other vegetable oils and to emphasize the presence of olive oil in a place other than in the ingredient list, only if it accounts for at least 50 % of the blend (Commission Implementing Regulation (EU) No 29/2012 of 13 January 2012 on marketing standards for olive oil. Official Journal of the European Union L12, 14-21). This evinced a key weakness in the olive oil control chain: The lack of analytical methods to demonstrate the amount of such oil in declared mixtures. In this way, it was the purpose of this work to look for an analytical strategy that helped us to confirm if the amount of olive oil in a label-claimed blend was at least 50 %. In order to do that we used two of the most representative seed oils: normal type and high oleic sunflower oils (NTSO and HOSO, respectively), mixed on the one hand with olive oil (OO), and on the other hand with extra virgin olive oil (EVOO), at 60:40, 50:50, and 40:60 v/v proportions. We demonstrated that there was no need of developing new methods of analysis but that it was enough to combine four of the official purity parameters described in the legislation (International Olive Council (2016). Trade standard applying to olive oils and olive pomace oils. COI/T.15/NC No 3/Rev. 11, 1-17). Those parameters were: triacylglycerols (TAG), acyclic saturated hydrocarbons (SHC), free sterols (FS), and tocopherols (TCPH). They were also organized them in the form of decisional trees in a way that the blend who claimed to be composed of at least 50 % olive oil must comply not just with one but with the four of them (Food Chemistry, volume 315, 15 June 2020, 126235). Samples were provided by Fera (Fera Science Ltd, Sand Hutton, York), The Project has received funding from the European Commission within the Horizon 2020 Program (2014–2020), GA no. 635690, Peer reviewed

Proyecto: EC/H2020/635690
DOI: http://hdl.handle.net/10261/229439
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229439
HANDLE: http://hdl.handle.net/10261/229439
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229439
PMID: http://hdl.handle.net/10261/229439
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229439
Ver en: http://hdl.handle.net/10261/229439
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229439

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229657
Dataset. 2012

HF RADAR IBIZA DATA FROM DATE 2012-06-01

  • Tintoré, Joaquín
  • Lana, Arancha
  • Marmain, Julien
  • Fernández, Vicente
  • Casas, Benjamín
  • Reyes, Emma
Continuous hourly coastal ocean surface current maps in the Ibiza Channel measured by High-Frequency Radars (HFR). HFR is nowadays the unique land-based remote sensing technology providing continuous maps of near-real surface currents (0.9 m) over wide areas (out of about 85 km from near shore) with high-spatial (3 km) and temporal resolution (hourly). The operation principle of HFRs for measuring coastal ocean surface currents is based on the Bragg resonant backscatter phenomenon: the HFR CODAR SeaSonde combined-antenna transmits electromagnetic waves with frequency of 13.5MHz (associated to wavelength of 22.2 m) and the ocean waves of half the transmitted electromagnetic wavelength (11.1 m) scatter the pulse back to the antenna. Two or more HFR sites are needed for computing the map of total surface current vectors in the overlapping coverage area."

Proyecto: //
DOI: http://hdl.handle.net/10261/229657
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229657
HANDLE: http://hdl.handle.net/10261/229657
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229657
PMID: http://hdl.handle.net/10261/229657
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229657
Ver en: http://hdl.handle.net/10261/229657
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229657

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229658
Dataset. 2020

SOCIB INT RADARAPM NOV2018. LAGRANGIAN EXPERIMENT IBIZA CHANNEL

  • Reyes, Emma
  • Mourre, Baptiste
  • Hernández-Lasheras, Jaime
  • Hernández-Carrasco, Ismael
  • Wirth, Nikolaus
  • Balaguer, Pau
  • Casas, Benjamín
  • Tintoré, Joaquín
Lagrangian experiment in the Ibiza channel during Autumn 2018, aiming to use the novel CARTHE GPS drifters (low-cost, compact, practical, eco-friendly and able too track currents centered 40 cm below the surface) to validate HF-Radar (new Antenna Pattern Measurement) and WMOP surface velocities, capture all representative spatio-temporal scales of surface circulation, study dispersion of surface particles, perform HFR data assimilation experiment with WMOP.

Proyecto: //
DOI: http://hdl.handle.net/10261/229658
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229658
HANDLE: http://hdl.handle.net/10261/229658
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229658
PMID: http://hdl.handle.net/10261/229658
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229658
Ver en: http://hdl.handle.net/10261/229658
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229658

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229659
Dataset. 2014

SOCIB TNA ABACUS

  • Budillon, Giorgio
  • Cotroneo, Yuri
  • Aulicino, Giuseppe
  • Fusco, Giannetta
  • Heslop, Emma
  • Torner, Marc
  • Tintoré, Joaquín
The project aims at assessing the importance of a new monitoring line across the Algerian Basin between Palma de Mallorca and the Algerian Coast.The Algerian Basin (AB) is located in the south of the Western Mediterranean Sea and is characterized by the presence of fairly fresh surface waters coming from the Atlantic (Atlantic Water- AW) and the more saline waters from the northwestern Mediterranean region interacting at different scales from basin-scale to mesoscale structures.The project aims at assessing the importance of a monitoring line across the AB between Palma de Mallorca and the Algerian coasts. ABACUS project will contribute to data collection in The Southern European Seas, one of the main EU maritime policy objectives, as outlined in the Marine Strategy Framework Directive through a multi-platform study of the mesoscale variability and main physical and biological characteristics of the AC system.

Proyecto: //
DOI: http://hdl.handle.net/10261/229659
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229659
HANDLE: http://hdl.handle.net/10261/229659
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229659
PMID: http://hdl.handle.net/10261/229659
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229659
Ver en: http://hdl.handle.net/10261/229659
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229659

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:10261/229661
Dataset. 2019

SOCIB GLIDER - CANALES ENDURANCE LINE

  • Tintoré, Joaquín
  • Heslop, Emma
  • Ruiz, Simón
  • Muñoz, Cristian
  • Allen, John
  • Zarokanellos, Nikolaos
  • Alou, Eva
SOCIB Glider Missions - Canales Endurance Line - was initiated in 2011, with in kind collaboration of CSIC (IMEDEA), covering both the Mallorca and Ibiza channel in a semi continuous operational mode and sampling physical and biogeochemical data. The Ibiza channel is a well-established biodiversity hotspot and accordingly more intensive monitoring of the Ibiza channel is carried out to capture the mesoscale and submesoscale structures and their relation to the weekly to seasonal and annual/inter-annual variability.

Proyecto: //
DOI: http://hdl.handle.net/10261/229661
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229661
HANDLE: http://hdl.handle.net/10261/229661
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229661
PMID: http://hdl.handle.net/10261/229661
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229661
Ver en: http://hdl.handle.net/10261/229661
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229661

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