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Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/338284
Set de datos (Dataset). 2023

SUPPORTING INFORMATION. SEPARATION OF ISOMERIC FORMS OF UROLITHIN GLUCURONIDES USING SUPERCRITICAL FLUID CHROMATOGRAPHY

  • Ares, Ana M.
  • Toribio, Laura
  • García-Villalba, Rocío
  • Villalgordo, Jose M.
  • Althobaiti, Yusuf
  • Tomás Barberán, Francisco
  • Bernal, José
Supplementary Table 1. Stationary phases tested for the separation of the urolithin glucuronides studied.-- Supplementary Table 2. Separation parameters calculated according to Purnell´s formula referred to Figure 3S. -- Supplementary Table 3. Separation parameters calculated according to Purnell´s formula referred to Figure 4S. -- Supplementary Table 4. Separation parameters calculated according to Purnell´s formula referred to Figure 5S. -- Supplementary Table 5. Separation parameters calculated according to Purnell´s formula referred to Figure 6S. -- Supplementary Table 6. Effect of temperature on the separation of the pairs of isomers with the (S, S) Whelk O® 1 column. Chromatographic conditions: mobile phase composed of CO2 and 0.1% of trifluoracetic acid in isopropanol (65:35, v/v) applied in isocratic mode at a flow rate of 2.0 mL/min and 120 bar. -- Supplementary Table 7. Thermodynamic parameters and isoelution temperatures (Tiso) for the pairs of isomers with the (S, S) Whelk-O® 1 column. Chromatographic conditions: mobile phase composed of CO2 and 0.1% of trifluoracetic acid in isopropanol (65:35, v/v) applied in isocratic mode at a flow rate of 2.0 mL/min and 120 bar. -- Supplementary Table 8. Separation parameters calculated according to Purnell´s formula referred to Figure 8S. -- Supplementary Table 9. Separation parameters calculated according to Purnell´s formula referred to Figure 2. -- Supplementary Table 10. Separation parameters calculated according to Purnell´s formula referred to Figure 9S. -- Supplementary Table 11. Separation parameters calculated according to Purnell´s formula referred to Figure 10S. -- Supplementary Table 12. Separation parameters calculated according to Purnell´s formula referred to Figure 11S. – Figure 1S.- UV-Vis spectra of the urolithin glucuronides. Figure 2S.- Representative SFC-UV chromatograms obtained from a mixture of urolithin glucuronide standards with different columns: A) Lichrosphere CN; B) Daicel DCpak PBT; C) SpherexTM Diol; D) Luna HILIC. Figure 3S.- Representative SFC-UV chromatograms obtained from a mixture of four urolithin glucuronide standards (100 mg/L; 1.- urolithin A 8-glucuronide; 2.- urolithin A 3-glucuronide 3.- isourolithin A 9- glucuronide; 4.- isourolithin A 3-glucuronide) using the Regis (S,S) Welk-O 1 Kromasil column and the initial conditions (see Optimization of the separation conditions subsection). Figure 4S.- Representative SFC-UV chromatograms obtained from a mixture of four urolithin glucuronide standards (100 mg/L; 1.- urolithin A 8-glucuronide; 2.- urolithin A 3-glucuronide 3.- isourolithin A 9- glucuronide; 4.- isourolithin A 3-glucuronide) using the Regis (S,S) Welk-O 1 Kromasil column and 0.1% (v/v) trifluoroacetic acid in methanol as organic modifier (see Optimization of the separation conditions subsection). Figure 5S.- Representative SFC-UV chromatograms obtained from a mixture of four urolithin glucuronide standards (100 mg/L; 1.- urolithin A 8-glucuronide; 2.- urolithin A 3-glucuronide 3.- isourolithin A 9- glucuronide; 4.- isourolithin A 3-glucuronide) using the Regis (S,S) Welk-O 1 Kromasil column and 0.1% (v/v) trifluoroacetic acid in ethanol as organic modifier (see Optimization of the separation conditions subsection). Figure 6S.- Representative SFC-UV chromatograms obtained from a mixture of four urolithin glucuronide standards (100 mg/L; 1.- urolithin A 3-glucuronide; 2.- urolithin A 8-glucuronide 3.- isourolithin A 9- glucuronide; 4.- isourolithin A 3-glucuronide) using the Regis (S,S) Welk-O 1 Kromasil column and 0.1% (v/v) trifluoroacetic acid in isopropanol as organic modifier (see Optimization of the separation conditions subsection). 16 Figure 7S.- Representative SFC-UV chromatograms obtained from a mixture of four urolithin glucuronide standards (100 mg/L; isourolithin A 9- glucuronide) using the Regis (S,S) Welk-O 1 Kromasil column and 0.1% (v/v) trifluoroacetic acid in acetonitrile as organic modifier (see Optimization of the separation conditions subsection). Figure 8S.- Representative SFC-UV chromatograms obtained from a mixture of four urolithin glucuronide standards (100 mg/L; 1.- urolithin A 3-glucuronide; 2.- urolithin A 8-glucuronide 3.- isourolithin A 9- glucuronide; 4.- isourolithin A 3-glucuronide) using the Regis (S,S) Welk-O 1 Kromasil column and 0.1% (v/v) trifluoroacetic acid in isopropanol as organic modifier with the selected conditions (see Optimization of the separation conditions subsection). Figure 9S.- Representative SFC-UV chromatograms obtained from a mixture of five urolithin glucuronide standards (100 mg/L; 1.- isourolithin A 9- glucuronide; 2.- isourolithin A 3- glucuronide; 3.- urolithin A 8-glucuronide; 4.- urolithin A 3-glucuronide; 5.- urolithin B 3- glucuronide) using the ReflectTM I-Cellulose C column and 0.1% (v/v) trifluoroacetic acid in different organic solvents: A) methanol; B) ethanol; C) isopropanol (see Optimization of the separation conditions subsection). Figure 10S.- Representative SFC-UV chromatograms obtained from a mixture of five urolithin glucuronide standards (100 mg/L; 1.- isourolithin A 9- glucuronide; 2.- isourolithin A 3- glucuronide; 3.- urolithin A 8-glucuronide; 4.- urolithin A 3-glucuronide; 5.- urolithin B 3- glucuronide) using the ReflectTM I-Cellulose C column and different acid additives 0.1% (v/v; A) no additive; B) formic acid; C) acetic acid; D) trifluoroacetic acid in methanol (see Optimization of the separation conditions subsection). Figure 11S.- Representative SFC-UV chromatograms obtained from a mixture of five urolithin glucuronide standards (100 mg/L; 1.- isourolithin A 9- glucuronide; 2.- isourolithin A 3- glucuronide; 3.- urolithin A 8-glucuronide; 4.- urolithin A 3-glucuronide; 5.- urolithin B 3- glucuronide) using the ReflectTM I-Cellulose C column and different basic additives 0.1% (v/v; 17 A) no additive; B) diethylamine; C) trimethylamine; D) ethanolamine) in methanol (see Optimization of the separation conditions subsection)., Peer reviewed

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DOI: http://hdl.handle.net/10261/338284
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/338284
HANDLE: http://hdl.handle.net/10261/338284
Digital.CSIC. Repositorio Institucional del CSIC
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Digital.CSIC. Repositorio Institucional del CSIC
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Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/338286
Set de datos (Dataset). 2023

SUPPLEMENTARY MATERIAL HIGHLY EFFICIENT PHOTODEGRADATION OF METHYLENE BLUE BY A COMPOSITE PHOTOCATALYST OF BISMUTH NANOPARTICLES ON SILICON NANOWIRES

  • Naffeti, Mariem
  • Zaïbi, Mohamed Ali
  • Nefzi, Chayma
  • Vidal García-Arias, Alejandro
  • Chtourou, Radhouane
  • Postigo, Pablo Aitor
Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/338286
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/338286
HANDLE: http://hdl.handle.net/10261/338286
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/338286
PMID: http://hdl.handle.net/10261/338286
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Ver en: http://hdl.handle.net/10261/338286
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oai:digital.csic.es:10261/338286

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/338387
Set de datos (Dataset). 2023

DATA SET FOR "OPTIMAL WAVE REFLECTION AS MECHANISM FOR SEAGRASS SELF-ORGANIZATION"

  • van de Vijsel, Roeland C.
  • Hernández-García, Emilio
  • Orfila, Alejandro
  • Gomila, Damià
All methodological information is in the paper "Optimal wave reflection as mechanism for seagrass self-organization" by Roeland C. van de Vijsel, Emilio Hernández-García, Alejandro Orfila, Damià Gomila to appear in Scientific Reports., Whenever you use any part of the data (scripts, figures, raw and processed data) described in this README-file, please make sure to correctly refer to this dataset, the manuscript described above and its authors., Full data set used for the following manuscript: Optimal wave reflection as mechanism for seagrass self-organization by R.C. van de Vijsel, E. Hernández-García, A. Orfila, D. Gomila, to appear in Scientific Reports (2023). The data set contains all the necessary codes and simulation and raw data to reproduce the results discussed in the associated manuscript. Folder "Figure scripts" contains the Matlab codes and associate raw data to generates all the figures of the manuscript. Folder "v28" contains the Matlab scripts that calculate uniform basic state for a given set of model parameters and numerically time-integrate the perturbation equations. It also contains all simulation results and figures, generated with the above Matlab scripts. Folders "v33" to "v39" contain variations of the codes in "v28"., Project CYCLE (PID2021-123723OB-C22) funded by MCIN/AEI/10.13039/501100011033 and ERDF “A way of making Europe”; María de Maeztu project CEX2021-001164-M618 funded by the MCIN/AEI/10.13039/501100011033; European Union’s Horizon 2020 research and innovation programme (Grant agreement ID: 101093910, Ocean Citizen). Project LAMARCA (PID2021-123352OB-C31 and PID2021-123352OB-C32) funded by MICIN/AEI621/FEDER, UE; Project Tech2Coast (TED2021-130949B-I00) funded by MCIN/AEI,EU “NextGenerationEU/PRTR”., With funding from the Spanish government through the "Severo Ochoa Centre of Excellence" accreditation (CEX2021-001164-M618)., Please, see data_description.pdf file., Peer reviewed

DOI: http://hdl.handle.net/10261/338387, https://doi.org/10.20350/digitalCSIC/15667
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/338387
HANDLE: http://hdl.handle.net/10261/338387, https://doi.org/10.20350/digitalCSIC/15667
Digital.CSIC. Repositorio Institucional del CSIC
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PMID: http://hdl.handle.net/10261/338387, https://doi.org/10.20350/digitalCSIC/15667
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Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/338399
Set de datos (Dataset). 2023

DIGITAL CITIES AND THE SPREAD OF COVID-19: CHARACTERIZING THE IMPACT OF NON-PHARMACEUTICAL INTERVENTIONS IN FIVE CITIES IN SPAIN. SUPPLEMENTARY MATERIAL

  • Rodríguez, Jorge P.
  • Aleta, Alberto
  • Moreno, Yamir
4 pages. -- Fig. S1. Workflow including the main components of this study: the digital cities inferred from multiple data sources and the modeling software COVASIM. -- Data available from scientific literature. -- Data available from national sources. -- Data available from regional/local sources., Peer reviewed

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DOI: http://hdl.handle.net/10261/338399
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oai:digital.csic.es:10261/338399
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Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/338405
Set de datos (Dataset). 2023

SUPPLEMENTARY MATERIALS FOR DWARFISM AND GIGANTISM DRIVE HUMAN-MEDIATED EXTINCTIONS ON ISLANDS

  • Rozzi, Roberto
  • Lomolino, Mark V.
  • Geer, Alexandra A. E. van der
  • Silvestro, Daniele
  • Lyons, S. Kathleen
  • Bover, Pere
  • Alcover, Josep Antoni
  • Benítez-López, Ana
  • Tsai, Cheng-Hsiu
  • Fujita, Masaki
  • Kubo, Mugino O.
  • Ochoa, Janine
  • Scarborough, Matthew E.
  • Turvey, Samuel T.
  • Zizka, Alexander
  • Chase, Jonathan M.
178 pages. -- The PDF file includes: Materials and Methods. -- Figs. S1 to S11. -- Tables S1 to S13. -- MDAR Reproducibility Checklist., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/338405
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/338405
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Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/338411
Set de datos (Dataset). 2023

DATASET: ALMOND, HAZELNUT, AND PISTACHIO SKINS AS FEEDSTUFF: IN VITRO RUMINAL FERMENTATION AND BIOHYDROGENATION

  • Musati, Martino
  • Hervás, Gonzalo
  • Natalello, Antonio
  • Toral, Pablo G.
  • Luciano, Giuseppe
  • Priolo, Alessandro
  • Frutos, Pilar
Spanish National Research Council (CSIC, España); Agritech National Research Center (Italia); European Union Next-GenerationEU: Piano Nazionale di Ripresa e Resilienza (PNRR) Comisión Europea; PON "Ricerca E Innovazione” 2014–2020 research contract (Azione IV.5—E69J21011360006 and Azione IV.6—CUP E61B21004280005); Ministero dell’Università e della Ricerca (Italia), Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/338411, https://doi.org/10.20350/digitalCSIC/15668
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oai:digital.csic.es:10261/338411
HANDLE: http://hdl.handle.net/10261/338411, https://doi.org/10.20350/digitalCSIC/15668
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/338411
PMID: http://hdl.handle.net/10261/338411, https://doi.org/10.20350/digitalCSIC/15668
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Ver en: http://hdl.handle.net/10261/338411, https://doi.org/10.20350/digitalCSIC/15668
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Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/338509
Set de datos (Dataset). 2023

SUPPLEMENTARY FIGURES OF THE ARTICLE FOOD DETERMINES EPHEMEROUS AND NON-STABLE GUT MICROBIOME COMMUNITIES IN JUVENILE WILD AND FARMED MEDITERRANEAN FISH

  • Viver, Tomeu
  • Ruiz, Alberto
  • Bertomeu, Edgar
  • Martorell Barceló, Martina
  • Urdiain, Mercedes
  • Grau, Amàlia
  • Signaroli, Marco
  • Barceló-Serra, Margarida
  • Aspillaga, Eneko
  • Pons, Aina
  • Rodgers, Chris
  • Gisbert, Enric
  • Furones, Dolors
  • Alós, Josep
  • Catalán, Ignacio Alberto
  • Rosselló-Mora, Ramón
7 pages. -- Supplementary Figure S1: Graphical description of the experiments conducted in three different stages. -- Supplementary Figure S2: Biomass content of each intestine in relation to its length by fresh and dry weight, and total non-incinerated inorganic content. -- Supplementary Figure S3: Rarefaction curves of the distinct datasets used in the study., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/338509, https://doi.org/10.20350/digitalCSIC/15669
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/338509
HANDLE: http://hdl.handle.net/10261/338509, https://doi.org/10.20350/digitalCSIC/15669
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/338509
PMID: http://hdl.handle.net/10261/338509, https://doi.org/10.20350/digitalCSIC/15669
Digital.CSIC. Repositorio Institucional del CSIC
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Ver en: http://hdl.handle.net/10261/338509, https://doi.org/10.20350/digitalCSIC/15669
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Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/338519
Set de datos (Dataset). 2023

SUPPLEMENTARY INFORMATION FOR ”IMPACT OF MEAN SEA-LEVEL RISE ON THE LONG-TERM EVOLUTION OF A MEGA-NOURISHMENT”

  • Ribas, Francesca
  • Portos-Amill, Laura
  • Falqués, Albert
  • Arriaga, Jaime
  • Marcos, Marta
  • Ruessink, Gerben
3 pages. -- Contents of this file: 1. Figures S1 to S2. -- 2. Text S3., In this Supplementary Information document, two extra figures with their captions are included, as well as an extra text describing model limitations., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/338519
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/338519
HANDLE: http://hdl.handle.net/10261/338519
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/338519
PMID: http://hdl.handle.net/10261/338519
Digital.CSIC. Repositorio Institucional del CSIC
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Ver en: http://hdl.handle.net/10261/338519
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oai:digital.csic.es:10261/338519

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/338619
Set de datos (Dataset). 2023

SUPPLEMENT OF IMPROVING STATISTICAL PROJECTIONS OF OCEAN DYNAMIC SEA-LEVEL CHANGE USING PATTERN RECOGNITION TECHNIQUES

  • Malagón-Santos, Víctor
  • Slangen, Aimée B. A.
  • Hermans, Tim H. J.
  • Dangendorf, Sönke
  • Marcos, Marta
  • Maher, Nicola
8 pages. -- Figures S1-S14., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/338619
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/338619
HANDLE: http://hdl.handle.net/10261/338619
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oai:digital.csic.es:10261/338619
PMID: http://hdl.handle.net/10261/338619
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Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/338628
Set de datos (Dataset). 2022

INERTIAL OSCILLATIONS AND FRONTAL PROCESSES IN AN ALBORAN SEA JET, DATA

  • Donnet, Sebastien
  • Esposito, Giovanni
  • Berta, Maristella
  • Shcherbina, Andrey
  • Freilich, Mara
  • Centurioni , Luca Raffaele
  • D’Asaro, Eric A.
  • Farrar, J. Thomas
  • Johnston, Shaun
  • Mahadevan, Amala
  • Özgökmen, Tamay
  • Pascual, Ananda
  • Poulain, Pierre-Marie
  • Ruiz, Simón
  • Tarry, Daniel R.
  • Griffa, Annalisa
This repository holds the data used in the study entitled "Inertial oscillations and frontal processes in an Alboran Sea jet: Effects on divergence and vertical transport" which is being submitted to the Journal of Geophysical Research: Oceans (first submission: August 2022). -- This study reports on the wind response interaction with an ocean current jet in geostrophic balance. The primary objective of the study is to better understand the potential role played by Near Inertial Oscilations (NIOs) in generating vertical transport in the upper ocean. -- This dataset includes near-surface drifters' tracks (CARTHE and SVP), vessel mounted ADCP (Acoustic Doppler Current Profiler) and underway CTD (Conductivity, Temperature and Depth) as well as data generated by an idealised numerical model (slab-layer type). -- Details of the files are provided in a README.txt and details on the data processing and analysis are provided in the manuscript to be published., This work has been supported and co-financed by the CALYPSO project, within the Office of Naval Research Departmental Research Initiative, under the following grants: N00014-18-1-2782 and N00014-22-1-2039 (GE,SD,MB,AG), N00014-18-1-2139 (AYS,EAD), N00014-18-1-2138 (TO), N00014-18-1-2418 and N00014-20-1-2754 (PMP), N00014-19-1-2692 and N00014-19-1-2380 (LC and part of the drifter data collection/analysis), N00014-18-1-2431 (JTF), N00014-18-1-2416 (TMSJ), N00014-16-1-3130 (AP,DRT,SR), N00014-21-1-2702 (AM). MF was supported by the Scripps Institutional Postdoctoral Fellowship (MAF). Investigation of front dynamics in the Mediterranean Sea from multiplatform observations is supported as well by the European Union's JERICO-S3 project through Grant 871153. Open Access Funding provided by Consiglio Nazionale delle Ricerche within the CRUI-CARE Agreement., CALYPSO2019_CARTHEs_tracks.csv, CALYPSO2019_OS150_Apr2.nc, CALYPSO2019_OS150_Apr5_Ct.nc, CALYPSO2019_OS150_Apr5_Nt.nc, CALYPSO2019_OS150_Apr5_St.nc, CALYPSO2019_OS150_shiptracks.csv, CALYPSO2019_SLAB.nc, CALYPSO2019_SVPs_tracks.csv, CALYPSO2019_UCTD_Apr5_Ct.nc, CALYPSO2019_UCTD_Apr5_Nt.nc, CALYPSO2019_UCTD_Apr5_St.nc, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/338628
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/338628
HANDLE: http://hdl.handle.net/10261/338628
Digital.CSIC. Repositorio Institucional del CSIC
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PMID: http://hdl.handle.net/10261/338628
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Ver en: http://hdl.handle.net/10261/338628
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