Resultados de investigación

S1. Distribution of the impinging flux of precursor molecules as a fraction of the flux leaving nozzle exit; S2. AFM of spot and square deposits, S3. 3D structure made with [Ag2(µ-O2CCF3)2], S4. Integrated SAED patterns, marked and fitted to pure Ag pattern. Reference [63] is cited in the Supplementary Materials., Peer reviewed

The censuses were carried out on a fixed route of 53 km out and back along the roads that run along the bottom of the valleys in a selected area of the Montaña Palentina Natural Park. The census took place mainly at morning and evening and lasted between 3-4 hours each. One section of the fixed route of 11.7 km, located in the Castillería valley, was also done at night. Each animal observed was georeferenced using an orthophoto on a tablet. In addition, whenever possible, photos or videos were taken of wildcats and domestic cats (Felis catus). Other mammals recorded were: Red fox (Vulpes Vulpes), European badger (Meles meles), European pine marten (Martes martes), Stone marten (Martes foina), wolf (Canis lupus), Red deer (Cervus elaphus), Roe deer (Capreolus capreolus), Cantabrian chamois (Rupicapra rupicapra), wild boar (Sus scrofa), Broom hare (Lepus castroviejoi), European hedgehog (Erinaceus europaeus) and Eurasian otter (Lutra lutra)., Fecha de actualización de los datos: 2025-10-28, [EN] This dataset provides the raw data from the mammal censuses carried out from car in one area of the Montaña Palentina Natural Park, between 2016-2025. The main objective of the census was to collect data on the use that wildcats (Felis silvestris) made of pasture fields for cattle grazzing. However, we recorded all mammal observed except dogs and livestock. This dataset will be updated annually., [ES] Este conjunto de datos recoge la información bruta de los censos de mamíferos llevados a cabo desde coche en un área del Parque Natural de la Montaña Palentina, entre 2016-2025. El principal objetivo del censo era recoger datos del uso que los gatos monteses (Felis silvestris) hacían de los prados ganaderos. No obstante, se han anotado todas lo mamíferos observados con la excepción d perros y ganado de diferente tipo. Este dataset será actualizado anualmente., This study was partially supported by a contract of collaboration between Fundación Reina Sofia and CSIC, M.Torres Diseños Industriales SAU and Jaguar Land Rover España., File List: 1_eventTable_car_censuses_Cantabrian_Mountains.xlsx 2_occurrenceTable_car_censuses_Cantabrian_Mountains.xlsx Complete_transect_car_censuses_Cantabrian_Mountains.kml Night_transect_car_censuses_Cantabrian_Mountains.kml, Peer reviewed

Figure S1: Elemental analysis of CLLCs, Figure S2 d-spacing values of the diffraction pattern shown in Figure 4A2; Table S1. d-spacing values of the diffraction pattern shown in Figure 6A2,B2,C2,D2; Figure S3: Protocol for iron oxide nanoparticle distribution determination; Figure S4: magnetite crystals grown in the bulk (protein free); Figure S5: HR-TEM and SAED of CLLPCs., Peer reviewed

Preparation procedures, physical and spectroscopic data for compounds 4a−m, 5a−h, 6h,n, 8a−f, 11, and 12., Peer reviewed

Supplementary Figures 1-4, Supplementary Table 1 and Supplementary Note 1., Peer reviewed

Preparation procedures and full characterization data for compounds 3a–c, 4a–c, and 9a. NMR spectra of 3a–c. Cyclic voltammogram analysis data. Gaussian output data of structures 5–7., Peer reviewed

Details of analytical methods validation (Section S1); scale-up and cost reduction of nanoZn synthesis (Section S2); additional material characterization (Figures S1–S3); additional photograph of plant leaves after the treatments (Figure SI4); additional information on Ps growth (Figure SI5); characterization of low-cost nanoparticles (Figure SI6); conditions of bacterial growth and RDA of zinc, respectively (Tables SI1 and SI2)., Peer reviewed

Figure S1: Infrared spectra in KBr of Syl-SC compound; Figure S2: (a) 1H NMR spectrum of Syl-SC (300 MHz, CD3COCD3), (b) 13C NMR spectrum of Syl-SC (75 MHz, CD3COCD3); Figure S3: (a) Thermogravimetric analysis (TGA) curve of Syl-SC; method 30–900 °C to 10 °C/min under 80.0 mL/min of N2. (b) Differential scanning calorimetry (DSC) trace of Syl-SC measured under N2 flow at heating and cooling of 10 °C/min from 30 to 300 °C; Table S1: Thermal properties of HTM; Figure S4: (a) UV-vis of Syl-SC in CH2Cl2 solution. (b) Tangent to the UV-vis absorption curve on the side of lower energy to estimate the transition energy (Eg) from the transition wavelength (λtrans). (c) Differential pulse voltammetry (DPV) and (d) cyclic voltammetry in CH2Cl2 solution for Syl-SC vs. Ag/AgCl; Table S2: Optical and electrochemical properties of Syl-SC; Figure S5: Devices based on PEDOT:PSS and Syl-SC at different concentrations. (a) Performance device (PCE) boxplot; (b) open circuit voltages (Voc) boxplot; (c) current density (Jsc) boxplot; and (d) fill factor (FF) boxplot; Figure S6: The contact angles between HTL film and water droplet on the substrate of (a) PEDOT:PSS and (b) Syl-SC. Top surface FESEM of (c) PEDOT:PSS and (d) Syl-SC; Figure S7: Cross-sectional FESEM image of the p-i-n device containing Syl-SC as HTM with the thickness of the layer’s components; Table S3: Impedance parameters extracted from Nyquist plots fitted with the electrical equivalent circuit; Figure S8: Charge carrier lifetime (𝜏∆𝑛 ) as a function of device Voc. References [56,58,77,78] are cited in the Supplementary Materials., Peer reviewed

The dataset provides data of geographic occurrences of non-native marine macrophytes in the Mediterranean Sea over 200 years. It includes occurrences in their native biogeographical range, along with sea surface temperature data for both the Mediterranean Sea and the native range. Additionally, it provides measures of spread, such as least coastal distances and the number of invaded grid cells, aiding in the calculation of linear spread rates, accumulated, and new invaded areas by non-native macrophytes in the Mediterranean Sea, as outlined in Wesselmann et al., 2024., Peer reviewed

Peer reviewed