BUSCADOR RECOLECTA

Datos geoespaciales en rejilla de SPEI., [ES] El dataset SPEICropDroughtMonitor se actualiza periódicamente, se puede consultar y descargar en el siguiente enlace: https://global-drought-crops.csic.es/ [EN] The SPEICropDroughtMonitor dataset is updated periodically, it can be consulted and downloaded at the following link: https://global-drought-crops.csic.es/, [EN] This dataset provides near real-time information about drought conditions in regions where corn, wheat, barley, soybeans and cotton are grown with a 0.5 degrees spatial resolution and a weekly time resolution. SPEI time-scales between 0.5 and 48 months are provided from 1979., [ES] La dataset presenta información en tiempo cuasi real de las condiciones de sequía en las regiones del mundo donde se cultiva maíz, trigo, cebada, soja y algodón a resolución temporal semanal y espacial de 0.5 grado. Se proporcionan los valores de SPEI a escalas temporales de 0.5 a 48 meses desde 1979., Ministry of Science and Technology of Spain, Grant/Award Number: PCI2019-103631., Peer reviewed

[EN] The dataset is comprised of 48 NetCDF files, each representing a distinct temporal scale spanning from 1 to 48 months. It can be accessed and manipulated using various software tools, including GIS applications like QGIS and ArcMap, specialized applications like Panoply (https://www.giss.nasa.gov/tools/panoply/), and dedicated libraries such as ncdf4, raster, or terra in R, as well as netCDF4 or xarray in Python, among others. Each NetCDF file contains a 3-dimensional matrix with dimensions of 720x360x1476. Land pixels are marked with the value 1.0x10^30, and occasionally, calculation errors may lead to NaN values. The dataset has been generated in R using the SPEI package (http://cran.r-project.org/web/packages/SPEI). [ES] El conjunto de datos se compone de 48 archivos NetCDF, cada uno representando una escala temporal distinta que abarca desde 1 hasta 48 meses. Se puede acceder y manipular estos archivos utilizando diversas herramientas de software, incluidas aplicaciones SIG como QGIS y ArcMap, aplicaciones especializadas como Panoply (https://www.giss.nasa.gov/tools/panoply/), y librerías específicas como ncdf4, raster o terra en R, así como netCDF4 o xarray en Python, entre otras. Cada archivo NetCDF contiene una matriz tridimensional con dimensiones de 720x360x1476. Los píxeles de tierra se identifican con el valor 1.0x10^30 y los errores de cálculo con valores NaN. El conjunto de datos se ha generado en R utilizando el paquete SPEI (http://cran.r-project.org/web/packages/SPEI)., [EN] The SPEI database (SPEIbase) provides a comprehensive global record of drought conditions. It offers a standardized measure of drought, the Standardized Precipitation-Evapotranspiration Index (SPEI), computed at multiple time scales ranging from monthly to 48 months. The SPEI index considers both precipitation and potential evapotranspiration (PET), estimated using the FAO-56 Penman-Monteith method. This approach provides a robust and accurate assessment of drought conditions across various regions and timeframes. SPEIbase is freely accessible and can be used to support a wide range of applications, including drought monitoring, risk assessment, and climate change studies. This is an update of the SPEIbase v2.8 (https://digital.csic.es/handle/10261/288226).-- What’s new in version 2.9: 1) Based on the CRU TS 4.07 dataset, spanning the period between January 1901 to December 2022. For more details on the SPEI visit http://sac.csic.es/spei For more details on the SPEI database visit https://spei.csic.es/, [ES] La base de datos SPEI (SPEIbase) ofrece un registro global completo de las condiciones de sequía. Proporciona una medida estandarizada de la sequía, el Índice Estandarizado de Precipitación-Evapotranspiración (SPEI), calculado a múltiples escalas temporales que van desde un mes hasta 48 meses. El índice SPEI considera tanto la precipitación como la evapotranspiración potencial (ETP), estimada utilizando el método FAO-56 Penman-Monteith. Este enfoque proporciona una evaluación sólida y precisa de las condiciones de sequía en diversas regiones y periodos de tiempo. SPEIbase es de libre acceso y se puede utilizar para respaldar una amplia gama de aplicaciones, incluido el monitoreo de sequías, la evaluación de riesgos y los estudios sobre el cambio climático. Esta es una actualización de la versión SPEIbase v2.8 (https://digital.csic.es/handle/10261/288226) basada en el conjunto de datos CRU TS 4.07, que abarca el período comprendido entre enero de 1901 y diciembre de 2022. Para obtener más información sobre la base de datos SPEIbase, consulte: https://spei.csic.es/, This work was not supported by any external funding., No

Datos geoespaciales en rejilla de SPEI., [ES] El dataset SPEISemiaridDroughtMonitor se actualiza periódicamente, se puede consultar y descargar en el siguiente enlace: https://semiarid-drought-monitor.csic.es/ [EN] The SPEISemiaridDroughtMonitor dataset is updated periodically, it can be consulted and downloaded at the following link: https://semiarid-drought-monitor.csic.es/, [EN] This dataset provides near real-time information about drought conditions in semi-arid regions of the world with a 0.5 degrees spatial resolution and a weekly time resolution. SPEI time-scales between 0.5 and 48 months are provided from 1979., [ES] Esta dataset presenta información en tiempo cuasi real de las condiciones de sequía en las regiones semiáridas del mundo a resolución temporal semanal y espacial de 0.5 grado. Se proporcionan los valores de SPEI a escalas temporales de 0.5 a 48 meses desde 1979., Ministry of Science and Technology of Spain, Grant/Award Number: PCI2019-103631, No

9 pages. -- PDF file includes: I: Calculation of out-of-plane lattice constants by using Poisson ratio. --II: Additional tables. -- Table S1 Calculated parameters obtained from DFT-based calculations by using a fixed in-plane (3.870 Å) and variable out-of-plane (3.870, 3.906, 3.970 and 3.980 Å) lattice constants of Nb:STO bulk structure. -- Table S2 calculated chemical potential (𝜂) and Seebeck coefficients (S) at 290K from the measured density of charge carriers (n) by using equation (1-4) in the main text for 31 and 11 nm thick Nb:STO films at variable electron band degeneracy (z) and scattering parameter (r). calculations are done by assuming a fixed effective mass of electrons m* (=1.1m0, where m0 is the rest mass of electrons). -- Table S3 Lattice parameters, and calculated band gap of 6%Nb-doped SrTiO3 at the SCAN meta-GGA level. -- Fig. S1. Thickness measurements of the Nb:STO films on LSAT substrates by using x-ray reflectivity and ellipsometry techniques. -- Fig. S2. Schematic illustration of the Seebeck effect measurement on Nb:STO thin films. -- Fig. S3. X-ray diffraction patterns of Nb:STO films deposited on LSAT-001 substrates. -- Fig. S4. Seebeck coefficient measurements of Nb:STO films by two different techniques over a long range of temperature: on-chip Seebeck measurement in a cryostat between 20-300 K and in a LINSEIS instrument within 300-550 K. -- Fig. S5. AFM-topography images of Nb-doped SrTiO3 films on LSAT substrates. -- Fig. S6. Bulk crystal structures of Nb-doped SrTiO3, and unit cells of Nb-doped SrTiO3 films were considered for electronic band structure calculations. -- Fig. S7. Calculated electronic band structures for 4.5, and 8.5 unit cells thick Nb-doped SrTiO3 films. -- Fig. S8 The effective mass calculation by fitting a quadratic function (y=A+Bx+Cx2) at the band edge from the first conduction band as highlighted by the red-line., Peer reviewed

Datos geoespaciales en rejilla sobre sequía., [EN] El dataset Monitordesequíameteorológica se actualiza periódicamente, se puede consultar y descargar en el siguiente enlace: https://monitordesequia.csic.es/monitor/ [EN] The Monitordesequíameteorológica dataset is updated periodically, it can be consulted and downloaded at the following link: https://monitordesequia.csic.es/monitor/, [EN] This dataset offers near real-time information about drought conditions in Spain with a 1.1 km spatial resolution and a weekly time resolution. SPI and SPEI (time-scales 1, 3, 6, 9, and 12 month), drought duration and magnitude are provided from 1955 until today. The dataset is updated four times each month., [ES] Esta dataset proporciona información en tiempo cuasi real de las condiciones de sequía en España a resolución temporal semanal y espacial de 1.1 km. Proporcionan los valores de SPI y SPEI a diferentes escalas temporales (1, 3, 6, 9 y 12) así como la duración y la magnitud de las sequías desde 1961 hasta la actualidad. La dataset se actualiza cuatro veces cada mes., Spanish Ministry of Science and Technology and FEDER by the projects PCI2019-103631, AXIS (Assessment of Cross (X) - sectoral climate Impacts and pathways for Sustainable transformation), JPI Climate co-funded call of the European Commission by the project CROSSDRO, Peer reviewed

11 pages. -- Fig. S1. Extra structure characterization of the Pd2Ga NRs. (a,b) HRTEMmicrographand the corresponding indexed power spectrum observed along the corresponding[001] (a) and [342] (b) zone axis of the orthorhombic Pnma Pd2Ga structure. (c) STEM-EELS elemental composition maps. -- Fig. S2. XRD pattern of as-synthesized Pd2Ga using 0.2 mmol of Pd(acac)2 and0.1mmol of Ga(acac)3 in the reaction. -- Fig. S3. SEM-EDS spectrum of Pd2Ga NRs. -- Fig. S4. (a-c) CV curves of Pd2Ga/C (a), Pd/C (b) and Pt/C (c) catalysts in 0.5MKOH with a scan rate of 20, 40, 60, 80 and 100 mV s-1. (d) Linear fit of the current density at 0.156 V as a function of scan rate from 20 to 100 mV s-1. -- Fig. S5. Nyquist plots of the catalysts at 0.8 V vs. RHE in 0.5 MKOHwith 0.5Methanol solution. -- Fig. S6. Comparison of the specific and mass activity of Pd2Ga/C, Pd/Cand Pt/Ccatalysts after 12 h CA measurements. -- Fig. S7. EOR CA curves of Pd2Ga catalyst reactivated by cycling every 1000 s inathree-electrode system with 0.5 M KOH and 0.5 M ethanol as electrolyte. -- Fig. S8. (a) 1H NMR analysis of the electrolyte before and after CA measurement. (b) 1H NMR analysis of acetic acid added in KOH and KOH + ethanol solution. -- Fig. S9. Potential-time curves of the Pd2Ga/C catalyst at current densities of 10mAcm-2 in 0.5 M KOH with ethanol solution. -- Fig. S10. Comparison of the current density of Pd2Ga/C, Pd/C and Pt/C catalysts after 15 h CA measurements in the two-electrode coupled system. -- Fig. S11. XRD Pattern (a) and TEM images of Pd2Ga/C in cathode (b) and anode (c) of the two-electrode electrolyzer after long-term stability measurement. -- Fig. S12. crystal structural models of Pd (111) and Pd2Ga (211). -- Fig. S13. DFT calculated models of Pd (a) and Pd2Ga (b) active sites with adsorbedreactive species from different EOR reaction states. -- Fig. S14. (a) CV curves of the catalysts in 0.5 M H2SO4 with 0.5 Methanol solution. (b) Polarization curves of catalysts in 0.5 M H2SO4 with 0.5 Methanol solution. (c) LSV curves of the assembled cells in 0.5 M H2SO4 with 0.5 Methanol solution. (d) CA measurements of the assembled cells at 1.0 V in 0.5 M H2SO4 with 0.5 Methanol solution. -- Fig. S15. DFT calculated models of OH- adsorbed on different sites of Pd2Ga (211) surface. -- Table S1. Comparison of specific activity, mass activity and stability of Pd- or Pt-based catalysts for EOR in alkaline media., Peer reviewed

6 pages. -- Figure S1. Pb 4f and S 2p high resolution XPS spectra obtained from the PbS nanoparticles. -- Figure S2. XRD patterns of PbS nanoparticles with and without H2-reducing treatment. -- Figure S3. SEM images and EDX spectra of a) PbS nanoparticles and b) PbS powders after annealing at 600℃ for 3h with H2/Ar atmosphere. -- Figure S4. Histograms of the grain size distribution obtained from the cross section SEM image of the a) PbS pellet without reduction process, and b) PbS pellet with reduction process. SEM images are shown in Figure 3. -- Figure S5. XRD patterns of the Pb1-xCuxS a) nanoparticles and b) annealed powder. -- Figure S6. a) XRD patterns of the SPS sintered Pb1-xCuxS pellets; b) Expanded view of the regions corresponding to the PbS (200) diffraction peak. -- Figure S7. The function of the Cu concentration on the lattice parameters of the Pb1-xCuxS pellets: a) Lattice parameter a=b=c (Å); b) Volume of Cell (Å 3). -- Figure S8. Cross-section SEM image and EDX compositional maps of a Pb0.955Cu0.045S pellet. -- Figure S9. EELS chemical composition maps obtained from the red squared area of the STEM micrograph of the Pb0.955Cu0.045S pellet. -- Table S1. Pb1-xCuxS nanoparticle composition as measured by SEM-EDX and crystal domain size as obtained from XRD data using Scherrer equation. -- Table S2. Hall charge carrier concentration (n), mobility () and effective mass (m*) of Pb1- xCuxS pellets at room temperature., Peer reviewed

Datos geoespaciales en rejilla sobre sequía repentina., [ES] El dataset FlashDroughtMonitor se actualiza periódicamente, se puede consultar y descargar en el siguiente enlace: https://flash-drought.csic.es/ [EN] The FlashDroughtMonitor dataset is updated periodically, it can be consulted and downloaded at the following link: https://flash-drought.csic.es/, [EN] This dataset provides near real-time information about flash drought conditions in Spain with a 1.1 km spatial resolution and weekly frequency. Flash drought onset and spatial extend is identified based on SPEI at short time-scale (1-month)., [ES] Este dataset proporciona información en tiempo cuasi real sobre las condiciones de sequía repentina en España con una resolución espacial de 1.1 km y una frecuencia temporal semanal. El inicio y extensión espacial de la sequía repentina es identificado en base al SPEI a una escala temporal corta (1-mes)., Spanish Commission of Science and Technology and FEDER by the projects PCI2019-103631 and PID2019-108589RA-I00, Consejo Superior de Investigaciones Científicas (España) by the LINKB20080 of the program i-LINK 2021, AXIS (Assessment of Cross(X) - sectoral climate Impacts and pathways for Sustainable transformation), JPI-Climate co-funded call of the European Commission by the CROSSDRO, Peer reviewed

DRX100/extract_xy_euler3-10.txt, extract_xy_euler3-20.txt extract_xy_euler3-30.txt extract_xy_euler3-33.txt extract_xy_euler3-40.txt extract_xy_euler3-50.txt extract_xy_euler3-60.txt extract_xy_euler3-67.txt extract_xy_euler3-70.txt extract_xy_euler3-80.txt extract_xy_euler3-90.txt extract_xy_euler3-100.txt extract_xy_euler3-110.txt extract_xy_euler3-120.txt extract_xy_euler3-1330.txt ELLE200/extract_xy_euler3-10.txt, extract_xy_euler3-20.txt extract_xy_euler3-30.txt extract_xy_euler3-33.txt extract_xy_euler3-40.txt extract_xy_euler3-50.txt extract_xy_euler3-60.txt extract_xy_euler3-67.txt extract_xy_euler3-70.txt extract_xy_euler3-80.txt extract_xy_euler3-90.txt extract_xy_euler3-100.txt extract_xy_euler3-110.txt extract_xy_euler3-120.txt extract_xy_euler3-1330.txt ELLE300/extract_xy_euler3-10.txt, extract_xy_euler3-20.txt extract_xy_euler3-30.txt extract_xy_euler3-33.txt extract_xy_euler3-40.txt extract_xy_euler3-50.txt extract_xy_euler3-60.txt extract_xy_euler3-67.txt extract_xy_euler3-70.txt extract_xy_euler3-80.txt extract_xy_euler3-90.txt extract_xy_euler3-100.txt extract_xy_euler3-110.txt extract_xy_euler3-120.txt extract_xy_euler3-1330.txt ODF_EBSD_GB_halite.m, The way in which salt flows is highly heterogeneous and results in complex fabrics and structures. To improve our understanding of how halite deforms and recrystallizes under different conditions we performed full-field numerical modelling of polycrystalline aggregates of halite. The numerical approach is based on the coupling of the viscoplastic Full-Field Transform code (VPFFT, Lebensohn and Rollet, 2020) that simulates the viscoplastic deformation and multi-scale platform ELLE (Bons et al, 2008) that has enabled recrystallization processes such as recovery, nucleation and grain boundary migration. This data set This data set contains (i) the output files with the crystal orientation data of simulation DRX_100, DRX_200 and DRX_300, and (ii) a code to plot the crystallographic orientation density function (ODF) using the open-source code MTEX (Mainprice et al., 2011)., EGR acknowledges the support of the Ramón y Cajal fellowship (RYC2018-026335-I), funded by the MCIN/AEI/10.13039/501100011033 and the FSE. MGL acknowledges the support of the Q2818002D project, funded by MCIN/AEI/10.13039/501100011033 by European Union NextGenerationEU/PRTR., Peer reviewed

6 pages. -- Figure S1. Picture of the MEA ERG probes after being used to measure ERG. -- Figure S2. Electrochemical Impedance Spectroscopy Bode plot of 5 of the graphene microelectrodes after measurements such as those described in Figure 3 a). S. -- Figure S3. ERG measured with the linear MEA showing different signal amplitudes across the probe. -- Figure S4. Optical transmittance measurement of the head of a circular MEA probe over the visible range. -- Figure S5. MEA ERG recordings from a healthy animal (top) and an animal with a lesion in the temporal-ventrical quadrant of the retina., Peer reviewed