BUSCADOR RECOLECTA

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

A comma-delimited file containing summary data for 101 scientific articles grouped according to 29 market drivers for cephalopods. The dataset is organised according to 8 variables (column headers; row 1) and 101 rows of data (rows 2-102). Each row of data relates to one unique scientific study (citation) included in our global literature review (101 studies were included in total). The dataset can be used to explore relationships between individual market drivers and other key variables and to examine underlying data by accessing the citations listed, 1. Aquatic food systems are important contributors to global food security to satisfy an intensifying demand for protein-based diets, but global economic growth threatens marine systems. Cephalopod (octopus, squid, cuttlefish) fisheries can contribute to food security; however their sustainable exploitation requires understanding connections between nature’s contributions to people (NCP), food system policies and human wellbeing. 2. Our global literature review methodology examined what is known about cephalopod food systems, value chains and supply chains and associated market drivers. For analysis, we followed the IPBES conceptual framework to build a map of the links between cephalopod market drivers, NCP and good quality of life (GQL). Then we mapped cephalopod food system dynamics onto IPBES (in)direct drivers of change relating to catch, trade and consumption. 3. This research contributes knowledge about key factors relating to cephalopods that can support transitions towards increased food security: the value of new aquatic food species; food safety and authenticity systems; place-based innovations and empowerment of communities; and consumer behaviour, lifestyle and motivations for better health and environmental sustainability along the food value chain. We outline requirements for a sustainable, equitable cephalopod food system policy landscape that values nature’s contributions to people, considers UN Sustainable Development Goals and emphasises the role of seven overlapping IPBES (in)direct drivers of change: Economic, Governance, Sociocultural and Socio-psychological, Technological, Direct Exploitation, Natural Processes and Pollution. We present a novel market-based adaptation of the IPBES conceptual framework – our ‘cephalopod food system framework’, to represent how the cephalopod food system functions and how it can inform processes to improve sustainability and equity of the cephalopod food system. 4. This synthesised knowledge provides the basis for diagnosing opportunities (e.g. high demand for products) and constraints (e.g. lack of data about how supply chain drivers link to cephalopod NCP) to be considered regarding the role of cephalopods in transformations towards a resilient and more diversified seafood production system. This social-ecological systems approach could apply to other wild harvest commodities with implications for diverse marine species and ecosystems and can inform those working to deliver marine and terrestrial food security while preserving biodiversity, CEECIND; Swedish International Development Cooperation Agency; Xunta de Galicia, Award: 1400 ED481B2018/017; Grupo de Referencia Competitiva GI-2060 AEMI, Award: 1401 ED431C2019/11; Fundação para a Ciência e a Tecnologia, Award: LA/P/0094/2020; Ministério da Ciência, Tecnologia e Ensino Superior, Award: LA/P/0094/2020; Fundação para a Ciência e a Tecnologia, Award: UIDP/50017/2020; Ministério da Ciência, Tecnologia e Ensino Superior, Award: UIDP/50017/2020; Fundação para a Ciência e a Tecnologia, Award: UIDB/50017/2020; Ministério da Ciência, Tecnologia e Ensino Superior, Award: UIDB/50017/2020; Fundação para a Ciência e a Tecnologia, Award: 2020.02510; European Regional Development Fund, Award: EAPA_282/2016; Interreg Atlantic Area Programme, Award: EAPA_282/2016, Peer reviewed

Highlights. Graphical Abstract. Figures and tables., Figure 1 GC-FID profiles of TMSO derivatives of LET120-GOS (A) and LET120-OsLu (B) before (red line) and after 5 h of digestion with BBMVs (blue line)1: Manitol; 2:.Fructose; 3: Galactose; 4: Glucose; 5: Lactose; 6: Lactulose; GOS trisaccharides, 7: 4´-galactosyl lactose, 8::3´- galactosyl lactose, 9: 6´-galactosyl lactose; and OsLu trisaccharide, 10: 6’- galactosyl lactulose, and *:other trisaccharides., Figure 2: Mono, di- and trisaccharides evolution (% of total carbohydrates quantified) during digestion of LET120-GOS (A, D), LET120-OSLU (B, E) and LET120-LOS(C, F) with BBMV (upper panels) and RSIE (lower panels). Carbohydrates in the reaction mixtures were quantified by GC-FID., Figure 3: Percentage of remaining carbohydrates (newly formed oligosaccharides and their respective substrate) available for colonic fermentation after digestion with BBMV (A) and RSIE (B)., Table 1 Carbohydrates content (% of total carbohydrates in the sample) determined by GC-FID in the mixtures obtained by the reaction of Acidipropionibacterium acidipropionici LET120-β-gal and 300 g L-1 of lactose. Lactulose or lactitol after purification with active charcoal. Reaction conditions were 45°C, pH 6.8, 5 h and 1.3 U/mg of enzyme. Values are mean (±SD)., Table 2 Hydrolysis degree (%) of oligosaccharides during digestions whit pig (BBMV) and rat small intestine (RSIE) at 37°C and pH 7., Peer reviewed

All data associated with this study are available in Supplementary Materials., Peer reviewed

S1. Rietveld Refinement: The experimental powder X-ray diffraction pattern of sample 1DA was refined using the Rietveld method by means of GSAS software. A Pseudo-Voight function was used to simulate the peak shape and the log-interpolate function with ten coefficients was used to simulate the background. The Rietveld refinement graphic is depicted in Figure S1, while the refined parameters (including the percentage of phase fraction) are included in Table S1 and Table S2., S2. Structural Characterization: Figure S2 shows the FT-IR spectra of samples 1D (δ), 1DA (δ + α), and 1A (α) as an example of the different crystal phases. The broad, weak bands at ≈ 3100–3500 cm–1 and ≈ 1640 cm–1 are assigned to the O–H stretching vibrations and H–O–H bending mode of H2O molecules, respectively. This indicates the presence of some absorbed water in the materials. In sample 1D, a notable difference is appreciated in the stretching and bending vibrational modes of H2O molecules, since they are associated with crystalline water molecules localized in the channels of the δ-KY3F10·xH2O host lattice. These bands are sharper and stronger. For all the samples, the Y–F host lattice vibrations were observed below 600 cm–1 . On the other hand, the FT-IR spectrum of sample 1DA can be interpreted as a combination of the spectra of samples 1D and 1A, which is very good agreement with the results of XRD and the coexistence of δ and α crystal phases in the same sample. It is observed a major response from the response of the α-phase (see indeed the Y–F host lattice vibrations), a fact that suggests that there is a higher amount of this crystal phase., S3. DLS measurements: Figure S3 shows the particle size distribution of samples doped with 1 mol% Eu 3+ content. For the DLS measurements, the powder concentration was 1 mg/mL in distilled water. Sample 1DA (α + δ) was previously filtered using a 0.4 µm cellulose filter to eliminate the agglomerates corresponding to the α-phase. Otherwise, neither a good dispersion nor good data from the DLS measurements could be obtained. The maximum peak for sample 1DA-filtered was found at 195 nm (mainly due to the δ-phase nanospheres), which is quite close to the value obtained for sample 1D (δ-phase), 175 nm. The obtained hydrodynamic diameters were in very good agreement with the SEM results., Peer reviewed

I. Supplementary experimental results Line profile of a strongly coupled FeTPP-Cl 2 Dependence of molecule-surface interaction on tip vertical position Dependence of pair excitation amplitude on the exchange interaction J Spectrum of a FeTPP-Cl in the normal state S2. Theoretical model Single site Superconductor Spin-5/2 impurity with zero exchange coupling Spin-5/2 impurity with finite exchange coupling Full Hamiltonian S3. Phenomenology of the pair excitation, Peer reviewed

Experimental and Theoretical methods. Figure S1: TEM images. Figure S2: Estimated gap between particles. Figure S3: Fitted curves to experimental absorbance spectra. Figure S4: Color matching functions. Figure S5: Standard iluminant D65. Figure S6: Hue wheel. Figure S7: Experimental absorbance spectra of dispersed and aggregated NPs. Figure S8: Aggregation kinetics of NPs. Figure S9: Change of Hue value for experimental samples. Figure S10: Calculated extinction cross sections of single NPs and NPs clusters. Figure S11: Change of Hue values for the calculated cases. Table S1: DNA sequences used. Table S2: Theoretical and experimental color differences (ΔE76)., Peer reviewed

Hydrogel preparation protocol; 1H NMR spectra of the non-modified gelatin, GelMA macromer, GelMA and SH hydrogels, and free four-arm poly(ethylene glycol) thiol; and Young’s moduli of SH hydrogels., Peer reviewed

Figure S1: Protein extraction from Synechocystis sp. PCC6803; Figure S2: Carotenoids identification; Table S1: Tentatively identification of compounds from Synechocystis PCC6803 by HPLC-DAD-APCI-QTOF analysis., Peer reviewed

Crystallographic data; PE extraction and purification analyses; carotenoid identification., Peer reviewed