Resultados totales (Incluyendo duplicados): 33743
Encontrada(s) 3375 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329611
Dataset. 2022

SUPPORTING INFORMATION FOR MAGNONIC GOOS–HÄNCHEN EFFECT INDUCED BY 1D SOLITONS

  • Laliena, Victor
  • Campo, Javier
In this supplemental material we provide details on the asymptotic solution of the magnon spectral problem for the isolated chiral soliton in monoaxial helimagnets. We also provide some details about the numerical calculations and show some numerical results that complement those discussed in the paper., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/329611
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329611
HANDLE: http://hdl.handle.net/10261/329611
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329611
PMID: http://hdl.handle.net/10261/329611
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329611
Ver en: http://hdl.handle.net/10261/329611
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329611

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329617
Dataset. 2020

DATABASE USED FOR THE SUPERVISED LEARNING OF FEW DIRTY BOSONS WITH VARIABLE PARTICLE NUMBER

  • Mujal, Pere
  • Martínez Miguel, Àlex
  • Polls, Artur
  • Juliá-Díaz, Bruno
  • Pilati, Sebastiano
This dataset includes files with points of different disordered potentials and their corresponding ground state energies depending on the number of particles of the system (N=1,2,3,4). It has been used to train a neural network., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/329617
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329617
HANDLE: http://hdl.handle.net/10261/329617
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329617
PMID: http://hdl.handle.net/10261/329617
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329617
Ver en: http://hdl.handle.net/10261/329617
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329617

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329631
Dataset. 2022

SUPPORTING INFORMATION HOLM OAK DECLINE IS DETERMINED BY SHIFTS IN FINE ROOT PHENOTYPIC PLASTICITY IN RESPONSE TO BELOWGROUND STRESS

  • Encinas-Valero, Manuel
  • Esteban, Raquel
  • Hereş, Ana-Maria
  • Vivas, María
  • Fakhet, Dorra
  • Aranjuelo, Iker
  • Solla, Alejandro
  • Moreno, Gerardo
  • Curiel Yuste, Jorge
Dataset S1 contains the experimental design details, root parameters and soil variables used in this study, i) experimental design details: Trees, sampled trees; dehesa, sampled dehesa, sites, health status, defoliation (%) and foliage (%) of each holm oak tree; ii) root parameters: FR (%), fine root percentage; FRB, fine root branching; IA (degrees), insertion angle; FRD (cm), fine root diameter; FRL (cm), fine root length; starch; glucose; fructose; sucrose; soluble sugars and NSC in coarse and fine roots (mg g-1 DW) iii) ammonium, nitrate, nitrite, phosphate, potassium (μg g-1) and org. C (%), organic carbon; tot. N (%), nitrogen; tot. P (%), phosphorus; pH; soil stoichiometry (org. C:tot. N, tot. N:tot. P, org. C:tot. P); PC1, principal component 1; soil nutrient availability (PC1 multiplied by -1), iv) foliage:root parameter ratio (foliage:FRB, foliage:FRD, foliage:FRL)., [nph18182-sup-0001-DatasetS1.xlsx] application/excel, 96.7 KB Dataset S1 Details of the experimental design, root parameters and soil variables used in this study., [nph18182-sup-0002-SupInfo.pdf] PDF document, 1.1 MB. Fig. S1 Location of the nine studied dehesas within the central–western part of the Iberian Peninsula. Fig. S2 Redundancy analysis (RDA) plot conducted with leaf traits. Boxplot of defoliation of the different health statuses. Fig. S3 Redundancy analysis (RDA) plot conducted with soil variables. Table S1 Linear mixed-effects models (LMEs) in which fine root branching ratio (FRB) varied as a function of the different carbohydrate fractions, health status and the interaction between carbohydrate fractions × health status. Table S2 Linear mixed-effects models (LMEs) in which foliage : root parameter ratios varied as a function of soil nutrient availability, health status and the interaction between soil nutrient availability × health status., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/329631
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329631
HANDLE: http://hdl.handle.net/10261/329631
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329631
PMID: http://hdl.handle.net/10261/329631
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329631
Ver en: http://hdl.handle.net/10261/329631
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329631

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329616
Dataset. 2022

SUPPORTING INFORMATION FOR MOLECULARLY ENGINEERING DEFECTIVE BASAL PLANES IN MOLYBDENUM SULFIDE FOR THE DIRECT SYNTHESIS OF BENZIMIDAZOLES BY REDUCTIVE COUPLING OF DINITROARENES WITH ALDEHYDES

  • Rodenes, Miriam
  • Gonell, Francisco
  • Martín, Santiago
  • Corma, Avelino
  • Sorribes, Iván
General information on methods for characterization, additional characterization of the catalysts {Mo3S4}n and S-{Mo3S4}n, extended data for catalytic experiments, characterization of the recycled catalyst, and leaching experiment, characterization data of isolated benzimidazoles., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/329616
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329616
HANDLE: http://hdl.handle.net/10261/329616
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329616
PMID: http://hdl.handle.net/10261/329616
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329616
Ver en: http://hdl.handle.net/10261/329616
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329616

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329621
Dataset. 2022

ORIGIN OF ZENNECK-LIKE WAVES EXCITED BY OPTICAL NANOANTENNAS IN NON-PLASMONIC TRANSITION METALS: SUPPLEMENT

  • Yi, Juemin
  • León-Pérez, Fernando de
  • Cuche, Aurélien
  • Devaux, Eloïse
  • Genet, Cyriaque
  • Martín-Moreno, Luis
  • Ebbesen, Thomas W.
The scattering properties of metallic optical antennas are typically examined through the lens of their plasmonic resonances. However, non-plasmonic transition metals also sustain surface waves in the visible. We experimentally investigate in this work the far-field diffraction properties of apertured optical antennas milled on non-plasmonic W films and compare the results with plasmonic references in Ag and Au. The polarization-dependent diffraction patterns and the leakage signal emerging from apertured antennas in both kinds of metals are recorded and analyzed. This thorough comparison with surface plasmon waves reveals that surface waves are launched on W and that they have the common abilities to confine the visible light at metal-dielectric interfaces offering the possibility to tailor the far-field emission. The results have been analyzed through theoretical models accounting for the propagation of a long range surface mode launched by subwavelength apertures, that is scattered in free space by the antenna. This surface mode on W can be qualitatively described as an analogy in the visible of the Zenneck wave in the radio regime. The nature of the new surface waves have been elucidated from a careful analysis of the asymptotic expansion of the electromagnetic propagators, which provides a convenient representation for explaining the Zenneck-like character of the excited waves and opens new ways to fundamental studies of surface waves at the nanoscale beyond plasmonics., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/329621
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329621
HANDLE: http://hdl.handle.net/10261/329621
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329621
PMID: http://hdl.handle.net/10261/329621
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329621
Ver en: http://hdl.handle.net/10261/329621
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329621

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329626
Dataset. 2022

SUPPORTING INFORMATION FOR ROBOTIC PICK-AND-PLACE OPERATIONS IN MULTIFUNCTIONAL LIQUID CRYSTAL ELASTOMERS

  • Lyu, Pengrong
  • Astam, Mert Orhan
  • Sánchez-Somolinos, Carlos
  • Liu, Danqing
This file includes: Figure. S1. The absorbance of photo-thermal dye (DR1). Figure. S2. DSC trace of the oligomer before and after photo-polymerization. Figure. S3. The actuation behavior of azimuthally-aligned LCE film with uniform cross-section. Figure. S4. The procedure of preparing the rotating base. Figure. S5. The actuation behavior (current = 0.4A) of the rotating base. Figure. S6. The procedure of preparing the lifting unit. Figure. S7. The actuation (current = 0.07A) behavior of the lifting unit. Other Supporting material for this manuscript includes the following: Movie S1. Actuation behavior of the photothermal responsive suction cup. Movie S2. The procedure of using the photothermal responsive suction cup to grasp the object. Movie S3. The actuation behavior of the rotating base. Movie S4. The process of using the soft robotic arm to grasp, transport, and release the object., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/329626
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329626
HANDLE: http://hdl.handle.net/10261/329626
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329626
PMID: http://hdl.handle.net/10261/329626
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329626
Ver en: http://hdl.handle.net/10261/329626
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329626

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329630
Dataset. 2022

SUPPLEMENTARY MATERIALS FOR SOLVING COLOR REPRODUCIBILITY BETWEEN DIGITAL DEVICES: A ROBUST APPROACH OF SMARTPHONES COLOR MANAGEMENT FOR CHEMICAL (BIO)SENSORS

  • Cebrián, Pablo
  • Pérez-Sienes, Leticia
  • Sanz Vicente, Isabel
  • López-Molinero, Ángel
  • Marcos, Susana de
  • Galbán, Javier
Supplementary Material S1: Figure S1. The Bayer arrangement of color filters on the pixel array of an image sensor. The right part of the image shows the side-view of color photosites; Supplementary Material S2: sRGB color space transformation; Supplementary Material S3: Table S1. Application Areas of Color Models; Supplementary Material S4: Developed software; Supplementary Material S5: Figure S2. Different color spaces and their numerical representation. (a) RGB color space. (b) CIE XYZ color space. (c) CIE xy color space (d) CIE Lab color space; Supplementary Materials S6: Table S2. Parametric Factors using CIE∆E2000; Supplementary Materials S7: Table S3. Validation of 96 color samples with a CM-2600d Spectrophotometer; Supplementary Materials S8: Figure S3. Photographs of two RAL color sample surfaces were taken with the Dino-Lite AM2111 Microscope. (a) RAL 5004 surface. As the surface has deteriorated due to its use, the RGB values of this sample will be less accurate than in a sample with a homogeneous surface. (b) RAL 7004 surface. The surface is more homogeneous compared with the RAL 5004 surface; Supplementary Materials S9: Table S4. Validation of 81 color samples with an HP Scanjet G2410 Flatbed Scanner; Supplementary Materials S10: Figure S4. Spectral Similarity Index of two different illuminants used in the “lighting effect on colors of digital images taken with a Smartphone study.” (a) Variance of a Philips Genie Esaver Bulp and a D50 Illuminant. (b) Variance of a YJHSMY White LED Strip and a D50 Illuminant; Table S5. Comparison of the SSI of four illuminants with the CIE∆E2000 values before (WOC) and after (WC) the correction method is applied; Supplementary Materials S11: Figure S5. Histogram comparison of the RAL 6018 RGB channels with/without the use of a Light box. (a) Red channel histogram with/without the use of a Light box. (b) Green channel histogram with/without the use of a Light box. (c) Blue channel histogram with/without the use of a Light box; Figure S6. (a) Digital 3.5 Mpixel Image in JPEG format of RAL 6018 taken in non-controlled light conditions. (b) Relative intensities in 1000 × 500 pixel area of a RAL 6018 digital image in non-controlled Light conditions. (c) Digital 3.5 Mpixel Image in JPEG format of RAL 6018 taken in controlled Light conditions (Light Box). (d) Relative intensities in a 1000 × 500 pixel area of a RAL 6018 digital image in controlled Light conditions (Light Box); Figure S7. (a) Disposition of the Light source and the light box to evaluate the external light effect on color samples inside the box. (b) Normalized spectral power distribution plot of external illuminant inside the light box; Supplementary Materials S12: Table S6. Evaluation of 55 RAL color samples with the CIE∆E2000 (2:1:1) criterion using 3 different Smartphones with/without the correction method under controlled lighting conditions (Light Box), CI (95%); Supplementary Materials S13: Figure S8. Colorimetric reaction of the Quantofix Peroxide 25® test strips. The oxidized form of the 3,3’,5,5’-Tetramethylbenzydine generates a cyan-like color; Supplementary Materials S14: Figure S9. Box and Whisker Plot of four samples before and after the correction method. The plot shows that in every case, the [H2O2] before the correction are higher than the ones after the correction and have more variability; Supplementary Materials S15: Figure S10. A graph of the dependence of each RGB channel on the pH. The R Channel shows better sensibility than the other channels, but there are no significant differences in the R coordinate in the range 2–7 of pH nor in the range 10–14; Supplementary Materials S16: Figure S11. Box and Whisker Plot of three samples before and after the correction method. The plot shows that the pH values before the correction have more variability in every case., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/329630
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329630
HANDLE: http://hdl.handle.net/10261/329630
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329630
PMID: http://hdl.handle.net/10261/329630
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329630
Ver en: http://hdl.handle.net/10261/329630
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329630

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329632
Dataset. 2022

SUPPLEMENTARY MATERIALS FOR USE OF GREEN FS LASERS TO GENERATE A SUPERHYDROPHOBIC BEHAVIOR IN THE SURFACE OF WIND TURBINE BLADES

  • Rivera-Sahún, Joaquín
  • Porta-Velilla, Luis
  • Fuente, Germán F. de la
  • Angurel, Luis A.
Supplementary Table S1: Examples of different topographies obtained with several laser treatments and the corresponding contact angle measurements. Figure S1. Photograph of the sample surface after performing the same laser treatment in air and in Ar. Experiments were carried out with Epulse = 48.5 μJ/pulse, vlaser = 9 mm/s and and dlines = 65 μm. Sample dimensions are 4 cm × 4 cm and the laser treated regions are 1.5 cm × 1.5 cm. Figure S2. FESEM images of the processed sample surface with Epulse = 8.8 μJ/pulse. Other laser processing parameters included vlaser = 9 mm/s and dlines = 65 μm., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/329632
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329632
HANDLE: http://hdl.handle.net/10261/329632
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329632
PMID: http://hdl.handle.net/10261/329632
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329632
Ver en: http://hdl.handle.net/10261/329632
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329632

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329635
Dataset. 2021

JOHANNHM/FRACTIONAL-CONGESTION-DYNAMICS: THE WORLD-WIDE WASTE WEB. DATA AND CODE

  • Martínez, Johann H.
Networks of export and import transactions plus Matlab code for fractional dynamics., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/329635
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329635
HANDLE: http://hdl.handle.net/10261/329635
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329635
PMID: http://hdl.handle.net/10261/329635
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329635
Ver en: http://hdl.handle.net/10261/329635
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329635

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329636
Dataset. 2022

RETURN LEVELS OF COASTAL SEA LEVELS AND WIND-WAVES IN THE MEDITERRANEAN SEA SINCE 1950 FROM A HIGH-RESOLUTION OCEAN REANALYSIS

  • Toomey, Tim
  • Amores, Ángel
  • Marcos, Marta
  • Orfila, Alejandro
Return level data of extreme sea level and significant wave height (at 20m depth) for the Mediterranean basin and islands. 10, 20, 50, 100, and 200 years return period are provided for both variables. -- Each .mat file contains the following variables: - latitude/longitude: Dim = [111561,1] - RL_10, RL_20, RL_50, RL_100, RL_200: return levels; Dim = [111561,1], Return levels at 10, 20, 50, 100 and 200 years, for both coastal sea surface elevation and Hs variables., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/329636
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329636
HANDLE: http://hdl.handle.net/10261/329636
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329636
PMID: http://hdl.handle.net/10261/329636
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329636
Ver en: http://hdl.handle.net/10261/329636
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329636

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