Resultados de investigación

The dataset comprises the information of the sampleset CSIC built in ProbeField-EJP Soil project on sampling date, site, crop, previous crop, depth (cm), latitude and longitude cooordinates, soil moisture (% dw), bulk density (g/cm3), labnumber, label, texture (%): coarse sand, fine sand, silt, clay, texture class. pH (Ext 1:2.5), EC (Ext 1:5) (mS/cm), carbonate (% CaCO3), orgánic-C (%), organic matter (%), total-N (%), avail-P (mg/kg), avail-K (mg/kg), elemental analysis (pXRF) and VisNIR spectra (350-2500 nm). As well as concerning the analytical methods., EJP Soil Horizon 2020 862695, European Union., Peer reviewed

Additional details regarding characterization by DLS, electronic microscopy, magnetization curve, and N2 adsorption/desorption isotherms., Peer reviewed

Preservation of the nanowires’ geometry as a function of the annealing temperature, microstructure and EELS characterization of annealed Co-FEBID nanowires, and electron holography characterization of 3D Co-FEBID nanowires., Peer reviewed

Introducing quantum dots (QDs) as the active element of an optoelectronic device demands its incorporation in the shape of interconnected arrays that allow for some degree of electronic coupling in order to inject/extract charge carriers. In doing so, beyond reducing the degree of quantum confinement, carriers are exposed to an enhanced defect landscape as they can access adjacent QDs, which is at the origin of the strong reduction of photoluminescence observed in QD solids when compared to that of the isolated QDs. In this work we demonstrate how a proper defect passivating strategy or atmospheric treatment can greatly enhance charge diffusion in a QD film, needed for an optimal carrier injection/extraction demanded for optoelectronic applications, and also improved its stability against external radiation. From a fundamental perspective, we provide evidence showing that trap density distribution, rather than QD size distribution, is mostly responsible for the observed variations in emission decay rates present in the QD networks under analysis., File List: (Folder > File.txt) Figure 1 Figure_1b(norm. Abs).txt Figure_1c(PL).txt Figure_1d(norm. TRPL).txt Figure_1e(norm. PL during CW irradiation).txt Figure 2 Figure_2a (TRPL_5%_N2_PMMA).txt Figure_2b (TRPL_20%_N2_PMMA).txt Figure_2c (PL_CW_PMMA).txt Figure_2d (TRPL_5%_N2_O2).txt Figure_2e (TRPL_20%_N2_O2).txt Figure_2f (PL_CW_O2).txt Figure_2g (TRPL_5%_N2_Air).txt Figure_2h (TRPL_20%_N2_Air).txt Figure_2i (PL_CW_Air).txt Figure 3 Figure_3a (TRPL_Fit_5%).txt Figure_3b (DecayRate_Distributions_5%_sample).txt Figure_3c (Width_Average_DecayRateDistribution).txt, Peer reviewed

Accurate quantification of efficiency enables rigorous comparison between different photoluminescent materials, providing an optimization path critical to the development of next-generation light sources. Persistent luminescent materials exhibit delayed and long-lasting luminescence due to the temporary storage of optical energy in engineered structural defects. Although these materials have recently gained attention for their potential in a wide range of applications, from smart lighting to in vivo imaging, standard characterization methods do not provide a universal comparison of phosphor performance, making it difficult to assess the efficiency of the different processes involved in afterglow. In this work we establish a protocol to obtain the emission quantum yield of persistent phosphors. We determine the persistent and total luminescence quantum yields by considering the ratio of photons emitted in the afterglow and during charging to those absorbed. The method is first applied to transparent single crystals of the most common persistent phosphors, such as SrAl2O4:Eu2+,Dy3+ and Y3Al2Ga3O12:Ce3+,Cr3+. The versatility of our methodology is then demonstrated by quantifying the quantum yield of a thin film based on ZnGa2O4:Cr3+ persistent luminescent nanoparticles, which are commonly used for in vivo imaging. We confirm the high efficiency of strontium aluminate and reveal a strong dependence of the obtained values on the illumination conditions, highlighting a trade-off between efficiency and brightness, which opens the door to precise optimization of the charging conditions for each material and application. Our results contribute to the development of standard characterization protocols for the analysis of the mechanisms governing afterglow, as well as the assessment of the overall efficiency of the process. Such achievements enable a rigorous comparison of the performance of different persistent materials, allowing for optimization routes beyond the usual trial-and-error approach., This project has received funding from the BBVA Foundation Leonardo Grant for Physics Researchers 2023, and by Grant EUR2023-143467 funded by MICIU/AEI/ 10.13039/501100011033 and by the European Union NextGenerationEU/PRTR. V.C. acknowledges Junta de Andalucía for financial support (POSTDOC_21_00694)., File List: - Fig1b_KineticScansSAOEuDy.txt : Time (s, column 1), normalized intensity kinetic scans of empty sphere at 400 nm used to calculate Abs (column 2), SAO:Eu,Dy at 400 nm used to calculate Abs (column 3) and SAO:Eu,Dy at 524 nm (column 4). - Fig1c_PersLSpectrumSAOEuDy.txt : Wavelength (nm, column 1), normalized PersL intensity of SAO:Eu,Dy (column 2). - Fig1d_LumSpectrumSAOEuDy.txt : Wavelength (nm, column 1), normalized Lum intensity of SAO:Eu,Dy (column 2). - Fig2a_QYSAOEuDyChargingTime.txt : Charging time (s, column 1), LumQY of SAO:Eu,Dy (column 2), error of LumQY of SAO:Eu,Dy (column 3), PersLQY of SAO:Eu,Dy (column 4) and error of PersLQY of SAO:Eu,Dy (column 5). - Fig2b_ChargingKineticSAOEuDy.txt : Wavelength (nm, column 1), normalized Lum intensity of SAO:Eu,Dy (column 2). - Fig3c_SpectraZGOCr.txt : Wavelength (nm, column 1), normalized Lum intensity of ZGO:Cr (column 2), Wavelength (nm, column 3) and normalized PersL intensity of ZGO:Cr (column 4). - Fig3d_KineticScansZGOCr.txt : Time (s, column 1), normalized intensity kinetic scans of empty sphere at 270 nm used to calculate Abs (column 2), ZGO:Cr at 260 nm used to calculate Abs (column 3) and ZGO:Cr at 696 nm (column 4). - Fig3e_PersLESpectrumZGOCr.txt : Wavelength (nm, column 1) and normalized PersLE intensity of ZGO:Cr (column 2). - Fig4a_IntegratedPersLTemperature.txt : Time after excitation (s, column 1), normalized integrated intensity of ZGO:Cr at RT after excitation at 270 nm (column 2), normalized integrated intensity of ZGO:Cr after excitation at 270 nm with heating at 85 ºC (column 3), Time after excitation (s, column 4), normalized integrated intensity of ZGO:Cr at RT after excitation at 330 nm (column 5), normalized integrated intensity of ZGO:Cr after excitation at 330 nm with heating at 85 ºC (column 6), normalized integrated intensity of SAO:Eu,Dy at RT after excitation at 400 nm (column 7), normalized integrated intensity of SAO:Eu,Dy after excitation at 400 nm with heating at 85 ºC (column 8)., Peer reviewed

SEM image of the tubular structures, TEM images of the nanotubes, measured interplanar spacings in tubular structures, TEM images of a LaS(Te)-TaS2(Te) nanotube, EDS spectra recorded from the nanotubes, HR-STEM micrographs of the LaS(Se)-TaS2(Se) nanotubes, EDS spectrum recorded from a LaS(Se)-TaS2(Se) nanotubes, HR-STEM micrographs of the HoS(Se)-TaS2(Se) nanotubes, HR-STEM and SR-EELS studies of one HoS(Se)-TaS2(Se) nanotube., Peer reviewed

Félix Balima et al., Supplementary experimental procedures and characterizations are included., Peer reviewed

Figures S1 and S2 and Table S1., Peer reviewed

Crystallographic data (powder) of the tetragonal and orthorhombic crystal structures for La1.5Ca0.5CoO4.02. Comparison between the modulus and imaginary part of the FT of the k-weighted polarized EXAFS spectra and best fits of La1.5Ca0.5CoO4.02 for in-plane and out-of-plane configurations at room temperature and best-fit structural parameters for the second coordination shells obtained from fitted polarization-dependent k-weighted EXAFS spectra at room temperature for the La2–xAxCoO4±δ (A = Sr, Ca) single crystals., Peer reviewed

Arbuscular mycorrhizas (AM) are one of the most frequent mutualisms in terrestrial ecosystems where fungi colonized plant roots. This dataset comprises information on the presence and abundance of different AM fungal taxa, in the form of virtual taxa, in woody plant species of two Mediterranean natural areas of South Spain. The data was generated by meta-barcoding the 18S rDNA of AM fungi in plant roots via MiSeq sequencing. This dataset contains more information regarding sampling source regarding the previous version stored in Dryad repository, Ministerio de Ciencia e Innovación: CGL2015-69118-C2-2-P Ministerio de Ciencia e Innovación: PGC2018-100966-B-I00 European Commission, Peer reviewed