BUSCADOR RECOLECTA

Excel file including: Degree of hydrolysis, bile acid binding capacity of nine different enzymatic hydrolysates of chicken blood, total bile acid binding capacity of three peptide fractions of 2 hydrolysates, and density analysis of the SDS-PAGE profile of the >10 kDa fraction of 2 hydrolysates., Bile acids are involved in the modulation of various metabolic processes facilitating the biliary excretion of endogenous and exogenous cholesterol. The objective of this study was to determine the glycocholic acid binding capacity (BC) of chicken blood hydrolysates using an optimized RP-HPLC methodology. Samples were hydrolysed using a combination of five different enzymes. Alcalase and Protamex hydrolysates presented the highest BC, with mean values of 20.09% and 20.61%, respectively. Subsequently, both hydrolysates were ultrafiltered to obtain fractions >10 kDa, between 10 and 3 kDa, and <3 kDa, and the highest BC values were obtained for peptide fractions >10 kDa. Finally, the protein fragments (MW > 10 kDa) potentially responsible for BC were identified by LC-MS/MS. The results confirmed the relation of BC with the molecular weight of the peptides generated, suggesting that certain protein fragments generated from chicken blood could contribute to a positive impact on health by interfering with cholesterol metabolism., Grant PID2020-119684RB-I00 funded by MCIN/AEI/10.13039/501100011033 is acknowledged. Grant GRISOLIAP/2020/021 de la Consellería de Innovacio, Universitats, Ciencia i Societat Digital de la Generalitat Valenciana (GCA) is also acknowledged., Peer reviewed

Under a Creative Commons BY license 4.0, https://creativecommons.org/licenses/by/4.0/, After 15 h of pine sawdust combustion, in the case of the Cu30MnFe oxygen carrier shows unstable operation in the continuous unit and attributed to the high generation of fines as it can be seen in Figure S1b, where fines particles can be seen together with oxygen carrier particles partially broken. However, it was not detected physical deposition of ashes over the particle surface in both cases of used oxygen carriers Cu30MnFe and Cu30MnFekao7.5, see Figures S1b and S1d, respectively.-- In Figure S2 a uniform distribution of three metal oxides of the oxygen carrier in the fresh Cu30MnFe sample is observed.-- Figure S3 depict the distribution of Cu oxide, Mn oxide, and Fe oxide, which remained unchanged during combustion in the plant. Therefore, there was no interaction between the oxygen carrier Cu30MnFe and biomass ash.-- Figure S3. SEM-EDX mapping of used Cu30MnFe.-- Figure S4 presents SEM-EDX elemental mapping of the fresh Cu30MnFekao7.5. It reveals that Cu oxide, Mn oxide, and Fe oxide are homogeneously distributed within the particle, along with kaolin, which includes Al and Si. K, Mg, and Ca are also present throughout the particle, but are not concentrated in any specific areas.-- Figure S5 presents the SEM-EDX elemental mapping of the used Cu30MnFekao7.5. It shows that K is accumulated in regions containing Al and Si, identified as kaolin. In these areas, the concentration of Cu, Mn, and Fe oxides is low.-- Figure S6 presents BSE images of the two particles of Cu30MnFekao7.5 oxygen carrier after 56 hours of combustion. The EDX results reveal that accumulative K can be observed in the darker areas, particularly where there is a high concentration of kaolin. Specifically, at points 13, 15, 16, and 17, where Si and Al are present in the used oxygen carrier Cu30MnFekao7.5, K is also detected. Conversely, at points 14 and 18, where the concentration of Si and Al, indicative of kaolin, are low and the levels of Cu, Mn, and Fe are high, no K is detected. Additionally, surface-section images in Figs. S6b and S6c show that the amount of K on the surface is significantly lower compared to the interior of the particle.-- Figure S7 presents the SEM line scan image of the cross-section of the used oxygen carrier Cu30MnFekao7.5. The image reveals that K accumulates in regions where Al and Si are present, which corresponds to kaolin within the particle. In these areas, the concentrations of Cu, Mn, and Fe oxides are low, while the concentrations of Si and Al are high.-- Figure S8 presents the SEM-EDX elemental mapping of the surface of the used oxygen carrier, Cu30MnFekao7.5. The analysis indicates the presence of minor amounts of Al and Si on the particle surface, with no significant accumulation of K detected.-- Although in SEM-EDX photos for oxygen carrier Cu30MnFe be observed that metal oxides are distributed homogeneously but in Figure S9, free CuO could be found by XRD. It means this free Cu oxide can improve oxygen transport capacity as active phase compared to the fresh oxygen carrier which data in Table 1 confirm this additional potential to release oxygen., This work was supported by PDC2021-121190-I00/AEI/10.13039/501100011033, financed by MCIN/AEI/10.13039/501100011033 and the European Union NextGenerationEU/PRTR. I.A.-R. acknowledges the Juan de la Cierva Programme (Grant IJC2019-038987-I funded by MCIN/AEI/10.13039/501100011033) and the Ramón y Cajal Programme (Grant RYC2022-035841-I funded by MCIU/AEI/10.13039/501100011033 and FSE+)., Peer reviewed

[Description of methods used for collection/generation of data] To validate the assumption of spatial independence, we extracted the residuals from the model and plotted them in space. In an ideal scenario, the pattern of residuals should be random to consider that there is no spatial autocorrelation remaining in the model. Additionally, to assess the spatial variability within model residuals, we fitted a semivariogram (Zhang et al., 2009). A flat semivariogram (without sharp increases) of the residuals would indicate the absence of spatial autocorrelation, [Methods for processing the data] Species distribution models., Results of the residuals analyses of the species distribution models from crustaceans, small pelagic fishes, benthopelagic fishes, penguins and pinnipeds from South America region, Southern African region and Australia and New Zealand regions, Peer reviewed

Urbanization affects ecosystems by reducing biodiversity and displacing species from native habitats. While some suffer, others, like urban wildlife, adapt through innovative feeding and behaviours that improve their fitness in human-altered settings. Despite research on wildlife in urban areas, the development of foraging behaviour in urban species is still understudied. Here, we examined the age-related differences in the foraging behaviour of yellow-legged gulls (Larus michahellis) in Barcelona (Spain), a densely populated coastal urban ecosystem. Using biologging technologies and trophic markers, we compared the foraging strategies, habitat use, human interactions, and trophic niches of juvenile, immature, and adult yellow-legged gulls over three breeding seasons. The results showed age-related differences in spatial distribution and foraging behaviour in this opportunistic species. Juveniles and immatures mainly foraged in ports and at sea, while adults favoured urban habitats. These patterns likely stem from reproductive constraints in adults and lower foraging efficiency in younger birds. Adults’ primary use of urban habitats also explains their higher trophic niche. Furthermore, fishing activity significantly influenced yellow-legged gull foraging across age groups, with strong associations between gulls and fishing vessels. By studying how age and life stage influence habitat use and behaviour, this research provides insights to guide targeted management strategies for this species, This study is part of the projects BCNGulls, Aliats and Intramural CSIC Project “Opportunistic gulls as sentinel species to monitor urban marine ecosystems”. VMV was supported by a Juan de la Cierva fellowship from the Spanish Government (JDC2022-049638-I). This work acknowledges the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S). We acknowledge support of the publication fee by the CSIC Open Access Publication Support Initiative through its Unit of Information Resources for Research (URICI), Age: age group (juveniles, immatures or adults); Latitude: latitude coordinates in degrees; Longitude: longitude coordinates in degrees, Peer reviewed

[Description of methods used for collection/generation of data] Costovertebral material belonging to the fossil specimen and the reference H. sapiens individuals was surface scanned., [Methods for processing the data] First, we calculated the vector of change between each mean H. sapiens metamer as the increment of 3D coordinates between each costovertebral level and the subsequent one. This vector was added or subtracted to the best-preserved costovertebral levels of Shanidar 3, depending on whether we wanted to estimate missing elements below or above the level, respectively. The obtained coordinates were morphed, and the final meshes were obtained. Eventually, the 3D model of Shanidar 3’s ribcage was reconstructed using these meshes., Reconstructed ribcage belonging to Shanidar 3, a Levantine Neanderthal specimen dated circa 45-60 ky BP. Final 3D models were statistically obtained by original fossil material through a statistical study of costovertebral metameric variation in H. sapiens., This reconstruction has been possible thanks to grant PRE2021-097584 to J.M.L.-R. and grant PID2020-115854GB-I00 to M.B., both funded by MCIN/AEI/10.13039/501100011033 of the Spanish Ministry of Science and Innovation and the European Union., Peer reviewed

The Appendices E to H with Tables E.1 and E.2, F.1 and F.2, G.1 to G.5, and Figures H.1 to H.19., Peer reviewed

Under a Creative Commons license BY-NC 4.0, https://creativecommons.org/licenses/by-nc/4.0/, Elemental analysis standards deviations: Table S1. Standard deviations of C, H, O, Co, Ni and Mo for each sample. List of identified compounds: Table S2. Identified compounds in liquid and gas products by gas chromatography and their respective standard deviations. XRD pattern of Co-Mo/Al2O3: In Fig. S1, peaks correlated to the support γ-Al2O3 (2θ = 39.5° [111], 45.9° [200], 25.3° and 66.9° [220]) and MoO3 (2θ = 46.2° [220] and 67.5° [400]) were found overlapped [22]. Moreover, peaks of MoO2 (2θ = 37.1°) and hydrated Co2Mo3O8 (2θ = 39.8° [204]) were also observed. TEM: Fig. S2. TEM images of MoO2 inside the tube in Ni-Mo/CNTox. STEM: Fig.S3. STEM of Co-Mo/CNTox (a) and Ni-Mo/CNTox (b, c and d). Isotherms: Fig. S4. N2 adsorption-desorption isotherms of the catalysts and supports., This work was supported by national funds through FCT/MCTES (PIDDAC): LSRE-LCM, UIDB/50020/2020 (DOI: 10.54499/UIDB/50020/2020) and UIDP/50020/2020 (DOI: 10.54499/UIDP/50020/2020); and ALiCE, LA/P/0045/2020 (DOI: 10.54499/LA/P/0045/2020). The authors are grateful for the financial support from the I + D + i project PID2020-115053RB-I00, funded by Spanish Ministry of Science and Innovation (MCIN/AEI/10.13039/501100011033). The authors also thank Gobierno de Aragón (DGA) for the financial support to Grupo de Conversión de Combustibles (T06_23). K. K. Ferreira acknowledges her Ph.D. scholarship (2022.12949.BD) from FCT. 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

[Description of methods used for collection/generation of data] Data was collected using the DJI Matrice 300 RTK quadcopter equipped with the DJI Zenmuse L2 sensor. This sensor integrates a LiDAR system capable of detecting up to 5 returns within a range of 2 to 450 meters (with 50% reflectivity and 0 klx), as well as a 20 MP RGB mapping camera featuring a 4/3" CMOS sensor. This data was collected at an altitude of 80 meters and reprojected to the ETRS89 / UTM Zone 30N reference system, with the geoid configured to the Alicante height., [Methods for processing the data] Data was processed using DJI Terra v.4.3.0 software. During processing, the point cloud was generated with a resolution of 20 cm and an effective range of 40 to 200 meters. The DEM was generated at a scale of 1:500. Additionally, the flights were not conducted under RTK conditions due to connection difficulties, so the positioning information was corrected using the central point data from the base station, derived from the EMLID REACH 2 antenna., This repository contains the topographic products generated from Unmanned Aerial Vehicle (UAV) flights equipped with an LiDAR sensor, conducted over the Poyo´s Gully on November 10, 2024, after 12 days of the Cut-Off Low that occurred in Valencia on October 29, 2024. This repository includes a LiDAR point cloud and a centimeter-resolution Digital Elevation Model (DEM), covering the gully course from El Boni area at the Albufera (Latitude: 39.384528º; Longitude: -0.359503°) up to Torrent village (Latitude: 39.442071°; Longitude: -0.455153°). The equipment used were a DJI Zenmuse L2 sensor mounted on the DJI Matrice 300 RTK multirotor UAV, supported by positioning information provided by the EMLID Reach 2 antenna used as a base station. This information is useful for quickly assessing damage of infrastructures or the amount of sediment accumulated along the couser of the Gully, among others. The data will help technicians and managers in assisting in decision-making for restoration and prevention., Grupo de Asesoramiento en Desastres y Emergencias (GADE-CSIC)., 3 files: F20241110_BarrancoPoyo_DEM_L2_ICMAN-CSIC.tif (DEM model); F20241110_BarrancoPoyo_PointCloud_L2_ICMAN (Point Cloud model); F20241110_BarrancoPoyo_NotaProcesamiento_L2_ICMAN-CSIC.pdf (Processing note pdf), Peer reviewed

Supplementary Table S1: composition of the experimental control (C) and cocoa–carob-rich (CC) diets (g/kg dry weight). Supplementary Table S2: body weight data, food intake, and food efficiency of rats fed with standard (ZL and ZDF) and cocoa–carob-rich (ZDF-CC) diets, and treated with metformin and fed with standard (ZDF-M) and cocoa–carob-rich diets (ZDF-CC + M)., Peer reviewed

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