BUSCADOR RECOLECTA

Documento en Word - 6 páginas, 5 figuras, Peer reviewed

The data is a compilation of information from previous studies and during the study published in “ Seasonal and isotopic precipitation patterns in the Andes of NW Argentina., [Description of methods used for collection/generation of data] In the study area, we employed a DAVIS-type weather station located south of the lagoon at coordinates 22° 28' 24.00"S and 65° 59' 35.00" W, with an elevation of 3,675 m a.s.l. (Figure 1). This weather station records hourly air temperature (⁰C), precipitation (mm), relative humidity (%), wind speed (m/s), solar radiation (W/m2), and other meteorological parameters. The management of this meteorological information falls under the Biodiversity Information System of the National Parks Administration (https://sib.gob.ar/#!/area-protegida/monumento-natural-laguna-de-los-pozuelos). Additionally, we considered essential climate data, including: (1) The daily mean (non-interpolated) Outgoing Longwave Radiation (OLR) Climate Data Record (CDR), which measures the amount of terrestrial radiation released into space and, by extension, the amount of cloud cover and water vapor intercepting that radiation in the atmosphere. The data has a resolution of 2.5° × 2.5°, with units in W/m2 (“NOAA Daily (non-interpolated) Outgoing Longwave Radiation (OLR),” 2023); and (2) the Convective Precipitation Rate (CPR) from NCEP-DOE AMIP-II Reanalysis (R-2). The NCEP-DOE Reanalysis 2 project utilizes a state-of-the-art analysis/forecast system for data assimilation from 1979 through the near present. The data has a resolution of 2.5° × 2.5°, with units in Kg/m2/s (Kanamitsu et al., 2002). The average of the monthly CPR values for each month in which rain was collected was calculated using ARCGIS software. Specifically, the monthly CPR values were averaged for February in the years 2020, 2021, 2022, and 2023. OLR and CPR data were provided by the NOAA PSL in Boulder, Colorado, USA, and can be accessed on their website at https://psl.noaa.gov., This study reports precipitation samples covering a 3-year period (January 2020 to April 2023) with extensive monitoring of meteorological parameters in the local atmosphere, satellite imagery and HYSPLIT backward trajectory models humid air masses causing the sampled reception in the Los Pozuelos basin in NW Argentina., Peer reviewed

Multimedia component 1., Peer reviewed

Products obtained from the publication "Climate and human stressors on global penguin hotspots: current assessments for future conservation". It contains the hotspots produced for the diferent penguin species and the layers of the diferent threats, With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), Peer reviewed

4 pages. -- Supplementary Figure 1: Schematics of the scattering set up employed in the HRBS experiments. -- Supplementary Figure 2: Check of the possible angular dependence of the Brillouin peak. -- Supplementary Figure 3: Raw specific heat data before statistical averaging, using two different cryostats., Peer reviewed

13 pages. -- Supplementary Figs. 1–7, experimental methods and theoretical methods., Peer reviewed

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82 pages. -- S1. Materials.-- S2. Synthetic procedures . -- S2.1. Synthesis of 5-((triisopropylsilyl)ethynyl)isophthalic acid, H2btc-TIPS. -- S2.2 Synthesis of alkyne-protected Rh(II)-MOP. -- S2.3 Deprotection procedure of alkyne-protected Rh(II)-MOP. Synthesis of BCN-23. -- S2.4 Copper-catalyzed azide-alkyne cycloaddition (CuAAC) on RhMOPs. -- S2.4.1 General CuAAC protocol for RhMOPs. -- S2.4.1.1 Bz-BCN-23.-- S2.4.1.2 Polymeric ligands. -- S2.4.2 Introducing coordinating groups. -- S2.4.2.1 Introducing free carboxylic acid groups. -- S2.4.2.2 Introducing free phosphonic acid groups. -- S2.4.3 Water-soluble COONa- and Na2PO3-functionalized MOPs. -- S2.4.4 Acid digestion of RhMOP. -- S2.4.4 Biotinylation of RhMOPs. -- S2.5 Competitive HABA-Avidin assay. -- S3. Computational Methods. -- S4. Characterization. -- S.4.1. Alkyne-protected RhMOP. -- S.4.2 BCN-23. -- S.4.3 Bz-BCN-23. -- S.4.4 mPEG42-BCN-23. -- S.4.5 COOH-bz-BCN-23. -- S.4.6 COOH-PEG3-BCN-23. -- S.4.7 COOH-C5-BCN-23 . -- S.4.8 H2PO3-BCN-23. -- S.4.9 Biotin-PEG5-BCN-23. -- S.5 Porosity of acidic Rh-MOPs. -- S.6 Biorecognition. Competitive HABA-Avidin assay. -- S7. Bibliography., Peer reviewed

20 pages. -- I. Growth methods. -- II. Er deposition and X-ray photoemission spectroscopy (XPS) coverage calibration. -- III. Er/Bi2Se2Te extended ARPES and XPS data. -- IV. Dy/Bi2Se2Te extended ARPES and XPS data. -- V. Theoretical model. -- VI. Theoretical prove of the Fermi velocity anisotropy upon Er doping. -- VII. MDCs and EDCs fittings: band dispersion and gap opening. -- VIII. Structural characterization: LEED patters., Magnetic topological insulators constitute a novel class of materials whose topological surface states (TSSs) coexist with long-range ferromagnetic order, eventually breaking time-reversal symmetry. The subsequent bandgap opening is predicted to co-occur with a distortion of the TSS warped shape from hexagonal to trigonal. We demonstrate such a transition by means of angle-resolved photoemission spectroscopy on the magnetically rare-earth (Er and Dy) surface-doped topological insulator Bi2Se2Te. Signatures of the gap opening are also observed. Moreover, increasing the dopant coverage results in a tunable p-type doping of the TSS, thereby allowing for a gradual tuning of the Fermi level toward the magnetically induced bandgap. A theoretical model where a magnetic Zeeman out-of-plane term is introduced in the Hamiltonian governing the TSS rationalizes these experimental results. Our findings offer new strategies to control magnetic interactions with TSSs and open up viable routes for the realization of the quantum anomalous Hall effect., Peer reviewed

17 pages. -- Table S1. Quantification of CuO, Cu2O and Cu from the XRD of all the compared blends. -- Table S2. Productivity comparison of the synthesised blends with respect to weight of Cu. -- Table S3. Comparison of Elemental composition from EDX analysis of as-prepared samples. -- Figures S1-S17., Peer reviewed