BUSCADOR RECOLECTA

39 pages. -- Section A: Description of the study area and the sample. -- Table A.1: Annual mean hydrochemical conditions from 2010 to 2020 (data source: LUNG). -- Table A.2: Total tagged pike (per lagoon and sex). -- Figures A.1-A.2. -- Table A.3: of the sample after data filtering and UD estimations. -- Section B: Receiver range estimations. -- Section C: Descriptive statistics. -- Section D: Analysis on weight (including code). -- Table D.1: Stepwise model selection on core area. -- Table D.2: Stepwise model selection on extended range. -- Effects and confidence intervals. -- Table D.3: Stepwise model selection on range.ratio. --Section E: Analysis on length. -- Table E.3: Stepwise model selection on range.ratio. -- Section F: Example Range plots. -- Section G: Monthly effects., Peer reviewed

Document S1. Figures S1–S8, Movie S1 and Supplemental Experimental Procedures., Peer reviewed

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22 p. -- This PDF file includes: Figs. S1 to S7. -- Tables S1 to S2. -- 6 sections., Peer reviewed

The dataset is made up of 4 files: (1) map.geojson: a GEOJSON file that describes the digital representation of the experimental field where the tests were carried out; (2) mission.geojson: a GEOJSON file describing the geographic coordinates of the planned mission between Building T and Field 3; (3) robot_path.geojson: a GEOJSON file describing the geographic coordinates of the robot performing the mission; (4) RobotLog.txt: a TXT file with the log generated by the robot during the execution of the mission., This database presents the results of the tests developed in the WeLASER experimental farm, setup in the facilities of the Centre for Automation and Robotics (UPM-CSIC). These experiments consisted of autonomous navigation of the WeLASER robot following a complete mission within the farm. This dataset contains the digital representation of the farm, as well as the geographic coordinates that represent the mission. Furthermore, the geographical coordinates that the robot followed during the execution of the mission are also presented, in addition to the log generated by the robot where the different actions and states that the robot performed at each instant of time are were recorded. This for the purpose of promoting transparency, reproducibility, and the sharing of our research findings., This dataset is part of a the WeLASER project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101000256., Peer reviewed

Lanthanide-doped upconversion nanoparticles (UCNPs), as multifunctional light sources, are finding utility in diverse applications ranging from biotechnology to light harvesting. However, the main challenge in realizing their full potential lies in achieving bright and efficient photon upconversion (UC). In this study, we present a novel approach to fabricate an array of gold nanoantennas arranged in a hexagonal lattice using a simple and inexpensive colloidal lithography technique, and demonstrate a significant enhancement of UC photoluminescence (UCPL) by up to 35-fold through plasmon-enhanced photoexcitation and emission. To elucidate the underlying physical mechanisms responsible for the observed UCPL enhancement, we provide a comprehensive theoretical and experimental characterization, including a detailed photophysical description and numerical simulations of the spatial electric field distribution. Our results shed light on the fundamental principles governing the enhanced UCNPs and pave the way for their potential applications in photonic devices., Upconversion luminescence, Plasmon, Nanostructure Financial support: European Research Council (ERC) under the European Union's Horizon 2020 Research and Innovation Programme (NANOPHOM, grant agreement no. 715832), grant FJC2020-046006-I funded by MCIN/AEI /10.13039/501100011033 and by the European Union Next Generation EU/PRTR, JAE Intro ICU program (JAEIntro-2021-ICMS-01)., Figure_1 Fig 1b.txt : AFM height map from -10 to 140 nm. 516x516 pixels, 2000x2000 nm (388 nm/pixel) Figure_2 Fig 2a.txt Fig_2b.txt : Wavelength in nm (column 1) and calculated IIE (column 2) Fig_2c_1.txt: Simulated electric field at 980nm intensity in a YZ plane. The first column correspond to the Y coordinates and the first row correspond to the X coordinates. Fig_2c_2.txt: Simulated electric field intensity at 980nm in a XY plane. The first column correspond to the X coordinates and the first row correspond to the Y coordinates. Figure_3 Fig 3a.txt Fig 3b.txt Fig 3c.txt Fig 3d.txt, Peer reviewed

4 pages. -- Figure S1. The same magnitudes as the Fig.3 is represented but for the total dataset (25494 TCs) of hurricanes that cross the Caribbean Sea. -- Figure S2. The same magnitude as the Fig.6 is represented, contributions are presented here in relative terms. Note that the colour scales for the wave setup is smaller (b). -- Figure S3. Effect of atmospheric pressure of the TCs that cross the Caribbean Sea., Peer reviewed

Previous version contained the return levels of coastal significant wave height and sea surface elevation along the Caribbean coastlines corresponding to the periods of 10, 50, 100, 200 and 500 years. The return periods have been computed fitting a Generalised Pareto Distribution to a set of hydrodynamic-wave coupled ocean simulations forced with 1000 synthetic tropical cyclones. See the paper Martin et al (under review) for details. -- The file (Return_levels.mat) contains a Matlab table (with header names) indicating latitude, longitude and the return levels described above, named as Hs (significant wave height) and SSE (sea surface elevation). -- Three other datasets have been included, with the subsample of the Tropical Cyclones selected for the study (Subsample.mat), the geographic data of the coastal grid points used for our analysis (Coastaline.mat), and finally a dataset with the results of the analysis presented in the paper (Results_4_runs.mat). All datasets are provided in a .mat file, generated using Matlab. -- First dataset contains a Matlab table (with header names) indicating latitude and longitude, radius of maximum wind speed, minimum pressure and maximum wind speed a long the track of the Tropical Cyclone, for the 1000 samples selected. -- Second dataset provides both Latitude and Longitude of the coastal grid points used for the analysis. -- The last dataset contains a Matlab table (with header names) where the first column represents the Tropical Cyclone, columns 2,3 and 4 contain the maximum of sea surface elevation (SSE) during the lifetime of the Tropical Cyclone for each coastal point, for the 3 decoupled runs, wind-forced only, pressure-forced only and wind and pressure respectively. The next 4 columns contain the values of the variables for the coupled simulations with WWM-III, maximum significant wave height (Hs), maximum SSE, median of Peak Direction (Dp) and median of Peak period (Tp). All these variables contain a description in the dataset as variable information, and are provided for all coastal points of our grid., Coastline.mat, Peer reviewed

Supplementary Table 1. Baseline demographic and clinical characteristics of kidney transplant recipients.-- Supplementary Table 2. Humoral response to COVID-19 vaccine in KTR according to the immunosuppressive therapy.-- Supplementary Table 3. Analysis of soluble markers in KTR depending of their humoral response to COVID-19 vaccination.-- Supplementary Table 4. Associations between the specific antibody titer after the third dose of vaccine and all the studied parameters measured before vaccination in KTR patients.--Supplementary Figure 1. Flow-chart of study., [Introduction] Kidney transplant recipients showed a weak humoral response to the mRNA COVID-19 vaccine despite receiving three cumulative doses of the vaccine. New approaches are still needed to raise protective immunity conferred by the vaccine administration within this group of high-risk patients., [Methods] To analyze the humoral response and identify any predictive factors within these patients, we designed a prospective monocentric longitudinal study of Kidney transplant recipients (KTR) who received three doses of mRNA-1273 COVID-19 vaccine. Specific antibody levels were measured by chemiluminescence. Parameters related to clinical status such as kidney function, immunosuppressive therapy, inflammatory status and thymic function were analyzed as potential predictors of the humoral response., [Results] Seventy-four KTR and sixteen healthy controls were included. One month after the administration of the third dose of the COVID-19 vaccine, 64.8% of KTR showed a positive humoral response. As predictive factors of seroconversion and specific antibody titer, we found that immunosuppressive therapy, worse kidney function, higher inflammatory status and age were related to a lower response in KTR while immune cell counts, thymosin-a1 plasma concentration and thymic output were related to a higher humoral response. Furthermore, baseline thymosin-a1 concentration was independently associated with the seroconversion after three vaccine doses., [Discussion] In addition to the immunosuppression therapy, condition of kidney function and age before vaccination, specific immune factors could also be relevant in light of optimization of the COVID-19 vaccination protocol in KTR. Therefore, thymosin-a1, an immunomodulatory hormone, deserves further research as a potential adjuvant for the next vaccine boosters., Peer reviewed

Supplementary Table 1. Stationary phases tested for the separation of the urolithin glucuronides studied.-- Supplementary Table 2. Separation parameters calculated according to Purnell´s formula referred to Figure 3S. -- Supplementary Table 3. Separation parameters calculated according to Purnell´s formula referred to Figure 4S. -- Supplementary Table 4. Separation parameters calculated according to Purnell´s formula referred to Figure 5S. -- Supplementary Table 5. Separation parameters calculated according to Purnell´s formula referred to Figure 6S. -- Supplementary Table 6. Effect of temperature on the separation of the pairs of isomers with the (S, S) Whelk O® 1 column. Chromatographic conditions: mobile phase composed of CO2 and 0.1% of trifluoracetic acid in isopropanol (65:35, v/v) applied in isocratic mode at a flow rate of 2.0 mL/min and 120 bar. -- Supplementary Table 7. Thermodynamic parameters and isoelution temperatures (Tiso) for the pairs of isomers with the (S, S) Whelk-O® 1 column. Chromatographic conditions: mobile phase composed of CO2 and 0.1% of trifluoracetic acid in isopropanol (65:35, v/v) applied in isocratic mode at a flow rate of 2.0 mL/min and 120 bar. -- Supplementary Table 8. Separation parameters calculated according to Purnell´s formula referred to Figure 8S. -- Supplementary Table 9. Separation parameters calculated according to Purnell´s formula referred to Figure 2. -- Supplementary Table 10. Separation parameters calculated according to Purnell´s formula referred to Figure 9S. -- Supplementary Table 11. Separation parameters calculated according to Purnell´s formula referred to Figure 10S. -- Supplementary Table 12. Separation parameters calculated according to Purnell´s formula referred to Figure 11S. – Figure 1S.- UV-Vis spectra of the urolithin glucuronides. Figure 2S.- Representative SFC-UV chromatograms obtained from a mixture of urolithin glucuronide standards with different columns: A) Lichrosphere CN; B) Daicel DCpak PBT; C) SpherexTM Diol; D) Luna HILIC. Figure 3S.- Representative SFC-UV chromatograms obtained from a mixture of four urolithin glucuronide standards (100 mg/L; 1.- urolithin A 8-glucuronide; 2.- urolithin A 3-glucuronide 3.- isourolithin A 9- glucuronide; 4.- isourolithin A 3-glucuronide) using the Regis (S,S) Welk-O 1 Kromasil column and the initial conditions (see Optimization of the separation conditions subsection). Figure 4S.- Representative SFC-UV chromatograms obtained from a mixture of four urolithin glucuronide standards (100 mg/L; 1.- urolithin A 8-glucuronide; 2.- urolithin A 3-glucuronide 3.- isourolithin A 9- glucuronide; 4.- isourolithin A 3-glucuronide) using the Regis (S,S) Welk-O 1 Kromasil column and 0.1% (v/v) trifluoroacetic acid in methanol as organic modifier (see Optimization of the separation conditions subsection). Figure 5S.- Representative SFC-UV chromatograms obtained from a mixture of four urolithin glucuronide standards (100 mg/L; 1.- urolithin A 8-glucuronide; 2.- urolithin A 3-glucuronide 3.- isourolithin A 9- glucuronide; 4.- isourolithin A 3-glucuronide) using the Regis (S,S) Welk-O 1 Kromasil column and 0.1% (v/v) trifluoroacetic acid in ethanol as organic modifier (see Optimization of the separation conditions subsection). Figure 6S.- Representative SFC-UV chromatograms obtained from a mixture of four urolithin glucuronide standards (100 mg/L; 1.- urolithin A 3-glucuronide; 2.- urolithin A 8-glucuronide 3.- isourolithin A 9- glucuronide; 4.- isourolithin A 3-glucuronide) using the Regis (S,S) Welk-O 1 Kromasil column and 0.1% (v/v) trifluoroacetic acid in isopropanol as organic modifier (see Optimization of the separation conditions subsection). 16 Figure 7S.- Representative SFC-UV chromatograms obtained from a mixture of four urolithin glucuronide standards (100 mg/L; isourolithin A 9- glucuronide) using the Regis (S,S) Welk-O 1 Kromasil column and 0.1% (v/v) trifluoroacetic acid in acetonitrile as organic modifier (see Optimization of the separation conditions subsection). Figure 8S.- Representative SFC-UV chromatograms obtained from a mixture of four urolithin glucuronide standards (100 mg/L; 1.- urolithin A 3-glucuronide; 2.- urolithin A 8-glucuronide 3.- isourolithin A 9- glucuronide; 4.- isourolithin A 3-glucuronide) using the Regis (S,S) Welk-O 1 Kromasil column and 0.1% (v/v) trifluoroacetic acid in isopropanol as organic modifier with the selected conditions (see Optimization of the separation conditions subsection). Figure 9S.- Representative SFC-UV chromatograms obtained from a mixture of five urolithin glucuronide standards (100 mg/L; 1.- isourolithin A 9- glucuronide; 2.- isourolithin A 3- glucuronide; 3.- urolithin A 8-glucuronide; 4.- urolithin A 3-glucuronide; 5.- urolithin B 3- glucuronide) using the ReflectTM I-Cellulose C column and 0.1% (v/v) trifluoroacetic acid in different organic solvents: A) methanol; B) ethanol; C) isopropanol (see Optimization of the separation conditions subsection). Figure 10S.- Representative SFC-UV chromatograms obtained from a mixture of five urolithin glucuronide standards (100 mg/L; 1.- isourolithin A 9- glucuronide; 2.- isourolithin A 3- glucuronide; 3.- urolithin A 8-glucuronide; 4.- urolithin A 3-glucuronide; 5.- urolithin B 3- glucuronide) using the ReflectTM I-Cellulose C column and different acid additives 0.1% (v/v; A) no additive; B) formic acid; C) acetic acid; D) trifluoroacetic acid in methanol (see Optimization of the separation conditions subsection). Figure 11S.- Representative SFC-UV chromatograms obtained from a mixture of five urolithin glucuronide standards (100 mg/L; 1.- isourolithin A 9- glucuronide; 2.- isourolithin A 3- glucuronide; 3.- urolithin A 8-glucuronide; 4.- urolithin A 3-glucuronide; 5.- urolithin B 3- glucuronide) using the ReflectTM I-Cellulose C column and different basic additives 0.1% (v/v; 17 A) no additive; B) diethylamine; C) trimethylamine; D) ethanolamine) in methanol (see Optimization of the separation conditions subsection)., Peer reviewed