BUSCADOR RECOLECTA

Values for all species in the Atlas are depicted as grey bubbles and the species of interest (Limenitis lorquini) is represented by a purple dot. The black lines represent median values for all species of the Atlas., Peer reviewed

MMC S1. The optimization process of the RFCN structure and hyperparamters in FT_RFCN are illustrated in detail., Peer reviewed

The dataset consist of one file with contains measurement data from the weather station of the MAGIC telescope from the year 2003 until 2023. Due to the long series of measurements, various quality assurance measures were carried out, such as removing obviously incorrect values from an individual measurement sensor. The format of the file is HDF5 and contains various columns as described by the metadata file., Peer reviewed

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Excel file including: Degree of hydrolysis, the inhibition of DPP-IV of 5 enzymatic hydrolysates of chicken blood, peptide separation of 2 hydrolysates by reverse phase chromatography (RP-HPLC); assay of DPP IV activity and free amino acids composition per fraction, peptide identification by mass spectrometry in tandem, in silico analysis and DPP IV inhibitory activity for each synthetised peptide., Blood is a meat by-product rich in proteins with properties that can be improved after hydrolysis, making it a sustainable alternative for use in the generation of bioactive peptides. The objective of this study was to identify dipeptidyl peptidase IV (DPP-IV) inhibitory peptides obtained from different chicken blood hydrolysates prepared using combinations of four different enzymes. Best results were observed for AP (2% Alcalase + 5% Protana Prime) and APP (2% Alcalase + 5% Protana Prime + 3% Protana UBoost) hydrolysates obtaining inhibition values of 60.55 and 53.61%, respectively, assayed at a concentration of 10 mg/mL. Free amino acids were determined to establish the impact of exopeptidase activity in the samples. A total of 79 and 12 sequences of peptides were identified by liquid chromatography and mass spectrometry in tandem (LC-MS/MS) in AP and APP samples, respectively. Nine of the identified peptides were established as potential DPP-IV inhibitory using in silico approaches and later synthesized for confirmation. Thus, peptides GPF, IGL, and GGGW showed good DPP-IV inhibitory activity with IC50 values of 0.94, 2.22, and 2.73 mM, respectively. This study confirmed the potential of peptides obtained from chicken blood hydrolysates to be used as DPP-IV inhibitors and, therefore, in the control or modulation of type 2 diabetes., Grant PID2020-119684RB-I00 funded by MCIN/AEI/10.13039/501100011033. Grant GRISOLIAP/2020/021 de la Consellería de Innovació, Universitats, Ciència I Societat Digital de la Generalitat Valenciana (GCA) is also acknowledged., Peer reviewed

Excel file including: Degree of hydrolysis (DH), free amino acid content, antioxidant activity (DPPH, FRAP and ABTS assays) and inhibition of dipeptidyl peptidase IV (DPP-IV), angiotensin-converting enzyme (ACE-I) and neprilysin enzyme (NEP), from Spanish dry-cured ham bone samples, with and without heat treatment and subsequently hydrolyzed with four different enzymes (Protamex, Flavourzyme, Protana prime and Alcalase), in addition to a control sample (without hydrolysis). Also the molecular weight distribution of peptides in the hydrolyzates. The hydrolyzates that were heated prior to hydrolysis were also subjected to in vitro gastrointestinal digestion and subsequently all of the above variables were re-evaluated to determine the stability of the bioactive peptides contained in the ham bone hydrolyzates to gastrointestinal digestion (GI-D)., This study reports the effect of thermal pretreatment and the use of different commercial proteolytic enzymes (Protamex, Flavourzyme, Protana prime, and Alcalase) on the free amino acid content (FAA), peptide profile, and antioxidant, antidiabetic, antihypertensive, and anti-inflammatory potential (DPPH, FRAP, and ABTS assay, DPP-IV, ACE-I, and NEP inhibitory activities) of dry-cured ham bone hydrolyzates. The effect of in vitro digestion was also determined. Thermal pretreatment significantly increased the degree of hydrolysis, the FAA, and the DPP-IV and ACE-I inhibitory activities. The type of peptidase used was the most significant factor influencing antioxidant activity and neprilysin inhibitory activity. Protana prime hydrolyzates failed to inhibit DPP-IV and neprilysin enzymes and had low values of ACE-I inhibitory activity. After in vitro digestion, bioactivities kept constant in most cases or even increased in ACE-I inhibitory activity. Therefore, hydrolyzates from dry-cured ham bones could serve as a potential source of functional food ingredients for health benefits., Grant PID2020-119684RB-I00 funded by MCIN/ AEI /10.13039/501100011033 is acknowledged. Grant GRISOLIAP/2020/021 de la Consellería de Innovació, Universitats, Ciència i Societat Digital de la Generalitat Valenciana (G.C.-A.) is also acknowledged. The accreditation as Center of Excellence Severo Ochoa CEX2021-001189-S funded by MCIN/ AEI /10.13039/501100011033 is acknowledged, With funding from the Spanish government through the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2021-001189-S), Peer reviewed

S1. Literature review classifications. S2. Additional figures. S3. Tables., Peer reviewed

6 figures, 2 tables.-- Under a Creative Commons license CC BY 4.0, https://creativecommons.org/licenses/by/4.0/, Figure S1. TEM images and diffraction patterns of copper, cuprite and graphite for Cu-150-NC. Figure S2. Raman Spectrum of Cu-X-NC (X= 0, 120, 150, 180). Figure S3. High resolution N1s spectra of Cu-X-NC (X= 0, 120, 150, 180). Figure S4. Nyquist plot from EIS experiments at 0.78 V vs RHE for the catalysts Cu-X-NC (X = 0, 120, 150 and 180). Figure S5. ORR polarization curves before and after accelerated stability test of catalysts Cu-0-NC, Cu-120-NC and Cu 180-NC. Figure S6. SEM images of Cu-150-NC (A) before and (B) after acceleration stability test. Table S1. Surface chemical composition (wt%) of the catalysts obtained by XPS. Table S2 Double Layer capacitance, Electrochemical Surface Area, Mass Activity and Specific Activity of the catalyst Cu-X-NC (X= 0, 120, 150 and 180) and after Accelerated stability test Cu-X-NC 10000 (X=0, 120, 150 and 180)., The authors wish to acknowledge the grants PID2020-115848RB-C21 and PID2020-115848RB-C22 funded by MCIN/AEI/10.13039/501100011033. J. Cebollada also thanks the grant PRE2018-084842 funded by MCIN/AEI/10.13039/501100011033., Peer reviewed

11 figures, 7 tables.-- Under a Creative Commons BY-NC-ND 4.0 license, https://creativecommons.org/licenses/by-nc-nd/4.0/, Appendix A. Materials analysis: The XRD analysis of the iron from the ore used as a precursor to generated carbon nanomaterial shows that this iron is conformed only by hematite as shown in Figure S.1. XRD analysis also showed the presence of other metallic oxides such as MgO, SiO2 and CaO. A posterior analysis to the iron ore with N2 physisorption showed that the isotherm of the ore shown in Figure S2 corresponds to a solid with no porosity. XPS results of the catalyst’s surface analyses generated through the synthesis ways are shown in Figure S3. Analysis of the catalysts with N2 physisorption shown in Figure S4 revealed that the catalysts could be fitted to type IV isotherms, characteristic of mesoporous solids and the BJH pore size distribution. Oxidized catalysts have achieved high Pd dispersions with Pd nanoparticle sizes of a few nanometers as can be seen in the STEM images of high resolution in Figure S5. Table S1 shows the conversion and the hydrogenation capacity of the hybrid materials used as supports without Pd. As it can be seen supports did not possess activity in these reaction conditions., This research was funded by MCIN/AEI/10.13039/501100011033 and EU “NextGenerationEU”/PRTR” through project TED2021- 131416B-I00. The authors also acknowledge Gobierno de Aragón (DGA) for the financial support to Grupo de Conversión de Combustibles (T06_20R). J L-d.l.R. acknowledges Diputación General de Aragón (DGA) for the predoctoral fellowship. DT is grateful for the Juan de la Cierva Incorporación (JdC-I) fellowship (Grant Number: IJC2020-045553-I) funded by MCIN/AEI/ 10.13039/501100011033 and by “European Union NextGenerationEU/PRTR. C.D.S is grateful for the Juan de la Cierva (JdC) fellowship (Grant Number: JDC2022-048765-I) funded by MICIU/AEI /10.13039/501100011033 and by FSE+., Peer reviewed

Under a Creative Commons BY-NC license, https://creativecommons.org/licenses/by-nc/4.0/, H2-TPD: Fig. A.1. H2 TPD profiles of Ni/CeO2 and Ni-CeO2/CNF_BM. XPS Survey: Fig. A.2. XPS survey. Table A.1. Surface atomic composition measured by XPS. Fig. A.3. HR O1s XPS spectra of pristine CNF. STEM images of Ni-CeO2/CNF: Fig. A.4a. STEM images of Ni-CeO2/CNF. Fig. A.4b. STEM images of Ni-CeO2/CNF. STEM characterization of Ni-CeO2/CNF_BM: Fig. A.5a STEM images of Ni-CeO2/CNF_BM. Fig. A.5b. STEM images of Ni-CeO2/CNF_BM. PSD of Ni-CeO2/CNF and Ni-CeO2/CNF_BM: Fig. A.6. PSD of Ni-CeO2/CNF and Ni-CeO2/CNF_BM. CeO2/CNF catalytic test: Fig. A.7. Methanation test using CeO2/CNF as catalyst (F/W=60 NL h–1 gcat–1). Influence of the PSD on the performances of Ni-CeO2/CNF: Fig. A.8. Comparison of the catalytic activities of Ni-CeO2/CNF (sieved and not) and Ni-CeO2/CNF_BM (T = 200 – 400 °C, F/W=600 NL h–1 gNi–1(60 NL h–1 gcat–1), H2/CO2 = 4) in terms of CO2 conversion (a); CH4 (b) and CO (c) selectivity. Stress test of the Ni-CeO2/CNF: Fig. A.9. Stress test of Ni-CeO2/CNF carried out at 450 °C, F/W=600 NL h–1 gNi–1 (96 NL h–1gcat–1). Spent catalyst analysis: Fig. A.10. XRD comparisons of fresh and spent Ni-CeO2/CNF_BM (a) and Ni-CeO2/CNF (b) after the stress test of carried out at 450 °C, F/W=600 NL h–1 gNi–1 (96 NL h–1gcat–1). Table A.2. Crystallites dimension comparisons of fresh and spent Ni-CeO2/CNF_BM (a) and Ni-CeO2/CNF (b) after the stress test of carried out at 450 °C, F/W=600 NL h–1 gNi–1 (96 NL h–1gcat–1). Table A.3. XPS comparisons of fresh and spent Ni-CeO2/CNF_BM (a) and Ni-CeO2/CNF (b) after the stress test of carried out at 450 °C, F/W=600 NL h–1 gNi–1 (96 NL h–1gcat–1)., Authors acknowledge the Government of Aragon for the grant awarded to the Fuel Conversion Group (T06_23R). C.D.S is grateful for the Juan de la Cierva (JdC) fellowship (Grant Number: JDC2022–048765-I) funded by MICIU/AEI /10.13039/501100011033 and by FSE+. DT is grateful for the Juan de la Cierva Incorporación (JdC-I) fellowship (Grant Number: IJC2020–045553-I) funded by MCIN/AEI/ 10.13039/501100011033 and by “European Union NextGenerationEU/PRTR., Peer reviewed