BUSCADOR RECOLECTA

2 pages. -- Fig. S1. Summary of the procedure: (i) First, equivalent circuit of the halide perovskite is found from impedance measurements, monitoring, in addition, the parameters that describe the response at different applied bias voltages. Typically, a CPE behavior is found in the low-frequency region. (ii) From the correlation of impedance spectroscopy and transient analysis, the trend of the potential-step hold time is determined using fractional calculus, in order to find the most restrictive condition and thus achieve steady-state conditions (refer to Eq. (12)). (iii) Finally, the critical scan rate is calculated from Eq. (13)., Peer reviewed

11 pages. -- Figure S1. Schematic of the inkjet-printed conductivity and volume sensors and of the SPCE device with the respective measurements. -- Calculation of the k value from the conductivity and volume nanobiosensors. -- Table S1. Comparison with other heavy metal and conductivity sensors for sweat analysis. -- Battery consumption. -- Voltage increment limitations of the LMP91000 chip. -- Copper detection pH dependence. -- Repeatability of the copper detection for continuous monitoring. -- Figure S2. SPCE device tested continuously in 1400 ppb copper in artificial sweat for 25 measurements during 95 min (without any cleaning between each single measurement). -- Sensors parameters optimization. -- Figure S3. Bode diagrams of the conductivity (a) and volume (b) sensors with the microchannel filled by NaCl 95 mM in milliQ water, emulating the sweat conductivity. -- Figure S4. Schematic illustration of different sampling time with respect to the imposed potential and the measured currents (a) and stripping curves using different sampling time (b). -- Bending effects. -- Figure S5. The microfluidic device applied on the distal arm skin., Peer reviewed

23 pages. -- PDF file includes: I. Literature Review on Electrical and Structural Properties of Ferroelectric Thin Film. -- II. Coercive Field in BaTiO3 Thin Films Grown on SrTiO3/Si Substrates. -- I. Structural Characterization of BaTiO3 Thin Films Grown at Different Pressures. -- II. Polarization-Electric Field Hysteresis Loops of BaTiO3 Films. -- III. Stoichiometry Characterization. -- IV. Study of Different Electrode Synthesis and Fabrication Processes. -- V. Scanning Transmission Electron Microscopy Studies. -- VI. Structural Characterization of 125-225 nm BaTiO3 Thin Films. -- VII. Reciprocal Space Mapping of 12.5-100 nm BaTiO3 Thin Films Grown at 60 mTorr. -- VIII. Polarization-Voltage/Electric Field Hysteresis Loops of BaTiO3 Thin Films. -- IX. Piezoresponse Force Microscopy Scans of 25-nm-thick BaTiO3 Thin Film. -- X. Fatigue and Retention Measurements. -- XI. Switching-Dynamics Measurements on 25 nm BaTiO3 Thin Films. -- XII. Lateral Size-Scaling on 50 nm and 100 nm BaTiO3 Thin Films. -- XIII. Structural Characterization of BaTiO3 Grown on SrTiO3/Si Substrates. -- XIV. Dielectric Constant-Voltage Measurement, Peer reviewed

This database includes: i) instrumental data obtained with high-quality CTD (conductivity, T, pressure) profilers and ii) DO concentrations obtained from discrete water column samples.-- DO concentrations in water samples were determined through the Winkler method, Compiled and averaged dissolved oxygen concentration, temperature and salinity data at the 27.1 isopycnal level from different cruises between 1969 and 2019 covering the area 40°- 43°N and 9°- 11°W, Funding for this study was provided by the Spanish Ministry of Science and Innovation through a Personal Técnico de Apoyo grant (PTA2019-017492-I), Peer reviewed

14 pages. -- PDF file includes: Details of Theoretical calculations. -- Figure S1. (a) SEM images of the Bi2Se3 nanosheets. (b) XRD patterns of Bi2Se3 nanosheets. (c) HRTEM images of the Bi2Se3 nanosheets and its corresponding power spectrum. (d) EELS chemical composition maps obtained from the red squared area of the STEM micrograph. -- Figure S2. Bi 4f and Se 3d high-resolution XPS spectra. -- Figure S3. XRD pattern of I-Bi2Se3/S. -- Figure S4. TGA curve of I-Bi2Se3/S composite measured in N2 with a sulfur loading ratio of 70.2 wt%. -- Figure S5. Nitrogen adsorption-desorption isotherms of as synthesized I-Bi2Se3 and IBi2Se3/S composites. -- Figure S6. DFT calculation results of optimized geometrical configurations of the surface (110) of Bi2Se3 with LiPS (Li2S, Li2S2, Li2S4, Li2S6, Li2S8 and S8). -- Figure S7. DFT calculation results of optimized geometrical configurations of the surface (110) of I-Bi2Se3 with LiPS (Li2S, Li2S2, Li2S4, Li2S6, Li2S8 and S8). -- Figure S8. Optimized adsorption configuration of Li2S decomposition on Bi2Se3. -- Figure S9. First five cycles of CV curves of (a) I-Bi2Se3/S, (b) Bi2Se3/S and (c) Super P/S performed at a scan rate of 0.1 mV s−1. -- Figure S10. Differential CV curves of (a) I-Bi2Se3/S, (c) Bi2Se3/S and (e) Super P/S. The baseline voltage and current density are defined as the value before the redox peak, where the variation on current density is the smallest, named as dI/dV=0. -- Figure S11. CV curves of (a) Bi2Se3/S, (b) Super P/S and (c) Plot of CV peak current for peaks C1, C2, and A versus the square root of the scan rates. -- Figure S12. The CV curve of I-Bi2Se3 as electrode measured in symmetric coin cell using an electrolyte without Li2S6. -- Figure S13. (a) Charge, and (b) discharge profiles of I-Bi2Se3/S, Bi2Se3/S, and Super P/S electrodes showing the overpotentials for conversion between soluble LiPS and insoluble Li2S2/Li2S. -- Figure S14. Galvanostatic charge−discharge profiles of (a) Bi2Se3/S and (b) Super P/S at different current densities range from 0.1C to 4C. -- Figure S15. (a,b) EIS spectra of (a) Bi2Se3/S and (b) Super P/S coin cells before and after cycling. The solid line corresponding to the fitting result from the equivalent circuit (c) and (d), and the Rs, Rin, Rct, and Zw stand for the resistance of the electrolyte, insoluble Li2S2/Li2S layer, interfacial charge-transportation, and semi-infinite Warburg diffusion, respectively; and CPE stands for the corresponding capacitance. (e) Different resistances of three coin cells were obtained from the equivalent circuit. -- Figure S16. XRD patterns of electrode materials after 100 cycles at 1C. -- Figure S17. Galvanostatic charge/discharge profiles of I-Bi2Se3/S at 0.5C under a lean electrolyte condition with a high sulfur loading of 5.2 mg cm-2. -- Figure S18. (a) SEM image of the Li-anode after cycling; (b) EDX mapping image of Lianode showing sulfur signal after cycling. -- Figure S19. SEM image of the cathode material after cycling, EDX spectra and EDX elemental maps for S, Se, Bi and I. -- Figure S20. I-Bi2Se3 optimized configuration as calculated by DFT. The distance between I and Bi is 3.15 Å, which is similar values than the bond lengths in bulk BiI3. -- Table S1 Summary of the comparison of I-Bi2Se3 electrochemical performance as host cathode for LSBs with state-of-the-art Bi-based or Se-based materials., Peer reviewed

18 pages. -- PDF file includes: materials and methods: Production of biotinylated detection antibodies (bd-MAb). -- Figure S-1. MP functionalization with c-MAb. -- Figure S-2. S-2. Scheme and protocol of the reference sandwich ELISA for Pf-LDH detection. -- Figure S-3. Two-step magneto-immunoassay for Pf-LDH detection. -- Figure S-4. Single-step magneto-immunoassay for Pf-LDH detection: comparison of colorimetric and fluorescent detection. -- Figure S-5. Performance of the 9 membranes studied. -- Figure S-6. Optimization of MP washing on-chip. -- Figure S-7. Optimization of the paper-based detection strategy. -- Figure S-8. Detection of malaria in positive blood samples using a commercial RDT. -- Table S-1. Examples of magneto immunoassays reported before for malaria diagnosis. -- Table S-2. Characteristics of the 9 paper-like membranes tested. -- Table S-3. Summary of results obtained in malaria-positive clinical samples using the paperbased fluorescence POC and reference ELISA, microscopy and RDT methodologies. -- Table S-4. Estimated production cost for each paper-based magneto-immunoassay test., Peer reviewed

4 pages. -- PDF includes: Interaction between AuNPs and CCM supplements. -- Figure SI-1A shows the results for the exposition of AuNPs to a solution of PhR. -- Figure SI1-D shows the UV-vis profile over time of AuNP exposed to PS (100 U/mL (~170 μM) penicillin, 172 μM streptomycin)., Sodium citrate-stabilized gold nanoparticles (AuNPs) are destabilized when dispersed in cell culture media (CCMs). This may promote their aggregation and subsequent sedimentation, or under the proper conditions, their interaction with dispersed proteins can lead to the formation of a NP-stabilizing protein corona. CCMs are ionic solutions that contain growth substances which are typically supplemented, in addition to serum, with different substances such as dyes, antioxidants, and antibiotics. In this study, the impact of phenol red, penicillin–streptomycin, l-glutamine, and β-mercaptoethanol on the formation of the NP–protein corona in CCMs was investigated. Similar protein coronas were obtained except in the presence of antibiotics. Under these conditions, the protein corona took more time to be formed, and its density and composition were altered, as indicated by UV–vis spectroscopy, Z potential, dynamic light scattering, and liquid chromatography–mass spectrometry analyses. As a consequence of these modifications, a significantly different AuNP cellular uptake was measured, showing that NP uptake increased as did the NP aggregate formation. AuNP uptake studies performed in the presence of clathrin- and caveolin-mediated endocytosis inhibitors showed that neither clathrin receptors nor lipid rafts were significantly involved in the internalization mechanism. These results suggest that in these conditions, NP aggregation is the main mechanism responsible for their cellular uptake., Peer reviewed

[Description of methods used for collection/generation of data] For the study, environmental data were measured by sensors located in both the water column and the benthic compartment (at 4 m and 8 m, respectively). Temperature, salinity and dissolved oxygen (DO) from the water column were measured from October 2019 to October 2021 by a sensor attached to the mooring line. Data were recorded with a CT SBE37 (Conductivity, Temperature) sensor (SBE37SMP-ODO-RS232, Sea-Bird Scientific©) coupled with an SBE 63 (Sea-Bird Scientific©) dissolved oxygen (DO) sensor with accuracies of ± 0.002 °C for temperature, ± 0.002 mS cm-1 for conductivity and ± 2 % for DO. Measurements were taken with a resolution of 0.0001 ºC for temperature, 0.0001 mS cm−-1 for conductivity and 0.2 µmol kg-1 for DO. Multiparametric Hydrolab HL4 probes (OTT HydroMet) were deployed during 8 different periods covering all seasons following the procedure by Hendriks et al. (2021). Accuracy for the multiparametric probe sensors is ± 0.10 ºC for temperature and ± 0.5 % of reading + 0.001 mS cm−1 for conductivity, with resolutions of 0.01 ºC and 0.001 mS cm-−1, respectively. The DO sensor presents an accuracy of ± 0.1 mg L−1 for values lower than 8 mg L−1, and ± 0.2 mg L−1 for values higher than 8 mg L−1, and a resolution of 0.01 mg L−1. Two benthic chambers were installed during May and July 2021 using a design previously described in Barrón et al. (2006). MiniDOT sensors (PME, Inc. ©) were used for temperature and DO measurements every 15 minutes, with accuracies of ± 0.1 ºC and ± 5 %, respectively. DO sensor data were validated against water samples analysed with the Winkler method.. Three chamber replicates were installed during each deployment. Wind speed (m s−1) values at Cabrera NP Station were obtained from data provided by the Organismo Autónomo de Parques Nacionales (OAPN, Spain). For the benthic chambers, night respiration was estimated from changes in DO between one hour after sunset and one hour before sunrise. The same procedure was followed for the calculation of the net community production (NCP) during daylight hours, and the two values were summed for GPP. NCP was used along with the total meadow area coverage and residence time of water in Sta. María Bay to determine the total O2 exported by the meadow to the water column. For the metabolic rate calculation, only oxygen data from the first 24 hours were used., [Methods for processing the data] Seasonal variations in the metabolic rates were analysed with a one-way ANOVA test using the Statistics and Machine Learning ToolboxTM in Matlab® (https://mathworks.com). For this purpose, daily metabolic rates from water column sensors and multiparametric sensors were grouped by season . The same statistical analysis was performed to analyse disparities between sensors. Since benthic chamber data were only available for one day in May and one day in July, differences between deployments were tested using a Student t-test., readme provides background information for csv datafiles. Csv datafiles are processed data of oxygen concentrations used as input for the model, with a frequency of 10 minutes for hydrolab (HL) measurements and hourly for the CT measurements, and a frequency of 15 minutes for MiniDot measurements., The endemic angiosperm Posidonia oceanica plays a remarkable role as marine habitat and ecosystem service provider in shallow waters in the Mediterranean Basin through their vertical growth, oxygenation of the water column and as a carbon sink storing allochthonous carbon and biomass underneath the meadows. Here we assess the capacity of a pristine meadow at 8m depth in the PMNT Cabrera (Mallorca, Spain) to oxygenate the water column in the coastal area through monitoring of oxygen concentrations and subsequent evaluation of the metabolic rates from these profiles in the benthic as well as pelagic compartment. Here we report dissolved oxygen (DO) measurements from a CT at 4m dept with continuous (hourly) measurements from October 2019 to October 2021 as well as DO measurements from multiparameteric sensors in the meadow (8m depth) during some weeks in the same period and 2 evalautions of DO with closed incubations., Spanish Ministry of Science (SumaEco, RTI2018–095441-B-C21), the Government of the Balearic Islands through la Consellería d'Innovació, Recerca i Turisme (Projecte de recerca científica i tecnològica SEPPO, PRD2018/18), the Posi-COIN Project from the 2018 BBVA Foundation “Ayudas a equipos de investigación científica” call. STARTER research project funded by the 2021 call of the Càtedra de la Mar, Iberostar Foundation. This work is a contribution to CSIC's Thematic Interdisciplinary Platform PTI OCEANS+. The present research was carried out within the framework of the activities of the Spanish Government through the "Maria de Maeztu Centre of Excellence" accreditation to IMEDEA (CSIC-UIB) (CEX2021-001198)., With funding from the Spanish government through the "Severo Ochoa Centre of Excellence" accreditation (CEX2021-001198)., Peer reviewed

Samples were collected in the tropical and subtropical Atlantic during the MAFIA cruise (April 2015) on board the BIO Hespérides. Seawater samples were collected at 13 stations (from the Brazilian coast to the Canary Islands), from the surface down to 3500 m, using a General Oceanics oceanographic rosette equipped with 24 l PVC Niskin bottles. Abundance and cell characteristics (high nucleic acid content fraction, cell volume, viability) were based on measurements performed with a FACSCalibur (Becton-Dickinson) flow cytometer. Leucine incorporation rates were estimated with tritiated leucine (Kirchman et al. 1985) using centrifugation and filtration methods (Smith and Azam 1992). The aim of this dataset was to estimate the influence of surface productivity on the standing stock, characteristics and activity (as leucine incorporation) of prokaryotes across the water column, This dataset contains the results of the characterisation of the prokaryotic community by flow cytometry and tritiated leucine incorporation from the MAFIA cruise (Migrants and Active Flux In the Atlantic ocean), Horizon 2020 (H2020), grant/award no. 817806: Sustainable management of mesopelagic resources; Ministerio de Ciencia e Innovación (MICINN), grant/award no. CTM2012-39587-C04: Migrants and Active Flux In the Atlantic Ocean; Ministerio de Ciencia e Innovación (MICINN), grant/award no. CTM2015-69392-C3: Constraining organic carbon fluxes in an eastern boundary upwelling ecosystem (NW Africa): the role of non-sinking carbon in the context of the biological pump; Ministerio de Ciencia e Innovación (MICINN), grant/award no. CTM2017-83362-R: INTERES: Papel de las interacciones fitoplancton-bacterias en la respuesta del plancton microbiano a la entrada de nutrientes alóctonos; Ministerio de Ciencia e Innovación (MICINN), grant/award no. PID2019-109084RB-C21: Biogeochemical impact of mesoscale and sub-mesoscale processes along the life history of cyclonic and anticyclonic eddies: plankton variability and productivity, No

[Description of methods used for collection/generation of data] Periodically water sampling for dissolved oxygen (DO) and total alkalinity (TA) was done during the sensor maintenance campaigns of BOATS. In two sites, monthly samples were collected from the same depth as the sensors of the BOATS stations, at 1m at the oceanographic buoy, and 4m in PN Cabrera. Samples were taken for dissolved methane (CH4), dissolved oxygen (DO), total alkalinity (TA), dissolved organic carbon (DOC), Chlorophyll a (Chl a), In both stations monthly discrete samples were collected, at 1 m in the Bay of Palma, Surface for Cap ses Salines and at 4 m depth in Cabrera. Samples were collected by submerging a hose connected to a pump at the sensor height of the BOATS stations in Cabrera and the Bay of Palma. At the third site, the lighthouse of Cap ses Salines, a bucket was used to obtain surface water samples., readme provides background information for xlsx datafiles., Methane (CH4) gas is the most important greenhouse gas (GHG) after carbon dioxide, with open ocean areas acting as discreet CH4 sources and coastal regions as intense but variable CH4 sources to the atmosphere. In this database we report measured CH4 concentrations and calculated air-sea fluxes in three sites of the coastal area of the Balearic Islands Archipelago (Western Mediterranean Basin). CH4 levels and related biogeochemical variables were measured in three coastal sampling sites between 2019 and 2021. CH4 concentrations in seawater ranged from 2.7 to 10.9 nM, without significant differences between the sampling sites. Averaged estimated CH4 fluxes during the sampling period for the three stations oscillated between 0.2 and 9.7 μmol m−2 d−1 following a seasonal pattern and in general all sites behaved as weak CH4 sources throughout the sampling period., Funding for this work was provided by the projects RTI2018-095441-B-C21 (SuMaEco) and, the BBVA Foundation project Posi-COIN and the Balearic Islands Government project SEPPO (PRD2018/18). This work is a contribution to CSIC’s Thematic Interdisciplinary Platform PTI OCEANS+., Peer reviewed