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Supplementary Material S1: Supplementary methods. Milk Transcriptome Biomarker Identification to Enhance Feed Efficiency and Reduce Nutritional Costs in Dairy Ewes A. Suárez-Vega, B. Gutiérrez. Gil, P.A.S. Fonseca, G. Hervás, R. Pelayo, P.G. Toral, H. Marina, P. de Frutos, J.J. Arranz. S1 Milk Transcriptome Biomarker Identification to Enhance Feed Efficiency and Reduce Nutritional Costs in Dairy Ewes A. Suárez-Vega, B. Gutiérrez. Gil, P.A.S. Fonseca, G. Hervás, R. Pelayo, P.G. Toral, H. Marina, P. de Frutos, J.J. Arranz. Supplementary Table S1. Description of the experimental groups defined in the nutritional challenge experiment in the Spanish Assaf dairy ewes included in the present study. S2 Milk Transcriptome Biomarker Identification to Enhance Feed Efficiency and Reduce Nutritional Costs in Dairy Ewes A. Suárez-Vega, B. Gutiérrez. Gil, P.A.S. Fonseca, G. Hervás, R. Pelayo, P.G. Toral, H. Marina, P. de Frutos, J.J. Arranz. Supplementary Table S2. Statistics of the milk production and feed efficiency traits measured in the first lactation of the Assaf dairy ewes included in the nutritional challenge experiment. S3 Milk Transcriptome Biomarker Identification to Enhance Feed Efficiency and Reduce Nutritional Costs in Dairy Ewes A. Suárez-Vega. B. Gutiérrez. Gil. P. A.S. Fonseca. Gonzalo Hervás. R. Pelayo. P.G. Toral. H. Marina. P. de Frutos. J.J. Arranz. Supplementary Table S3. Phenotypic Values for Residual Feed Intake (RFI) and Feed Conversion Ratio (FCR) indexes and group classification for transcriptomic analyses in the Spanish Assaf dairy ewes included in the present study. S4 Milk Transcriptome Biomarker Identification to Enhance Feed Efficiency and Reduce Nutritional Costs in Dairy Ewes A. Suárez-Vega, B. Gutiérrez. Gil, P. A.S. Fonseca, Gonzalo Hervás, R. Pelayo, P.G. Toral, H. Marina, P. de Frutos, J.J. Arranz Supplementary Table S4. Differentially expressed genes in the mammary gland transcriptome between High-FE-RFI and Low-FE-RFI sheep S5 Milk Transcriptome Biomarker Identification to Enhance Feed Efficiency and Reduce Nutritional Costs in Dairy Ewes A. Suárez-Vega, B. Gutiérrez. Gil, P. A.S. Fonseca, Gonzalo Hervás, R. Pelayo, P.G. Toral, H. Marina, P. de Frutos, J.J. Arranz Supplementary Table S5. Differentially expressed genes in the mammary gland transcriptome between High-FE-FCR and Low-FE-FCR sheep S6 Milk Transcriptome Biomarker Identification to Enhance Feed Efficiency and Reduce Nutritional Costs in Dairy Ewes A. Suárez-Vega, B. Gutiérrez. Gil, P. A.S. Fonseca, Gonzalo Hervás, R. Pelayo, P.G. Toral, H. Marina, P. de Frutos, J.J. Arranz Supplementary Table S6. Enrichment analysis results from the differentially expressed genes with higher expression in the low-FE-FCR Assaf dairy sheep S7 Milk Transcriptome Biomarker Identification to Enhance Feed Efficiency and Reduce Nutritional Costs in Dairy Ewes A. Suárez-Vega, B. Gutiérrez. Gil, P. A.S. Fonseca, Gonzalo Hervás, R. Pelayo, P.G. Toral, H. Marina, P. de Frutos, J.J. Arranz Supplementary Table S7. Differentially expressed genes in the mammary gland transcriptome between High-FE-consensus and Low-FE-consensus sheep S8 Milk Transcriptome Biomarker Identification to Enhance Feed Efficiency and Reduce Nutritional Costs in Dairy Ewes A. Suárez-Vega, B. Gutiérrez. Gil, P. A.S. Fonseca, Gonzalo Hervás, R. Pelayo, P.G. Toral, H. Marina, P. de Frutos, J.J. Arranz Supplementary Table S7. Enrichment analysis results from the differentially expressed genes with higher expression in the high-FE-consensus Spanish Assaf ewe group S9 Milk Transcriptome Biomarker Identification to Enhance Feed Efficiency and Reduce Nutritional Costs in Dairy Ewes A. Suárez-Vega, B. Gutiérrez. Gil, P. A.S. Fonseca, Gonzalo Hervás, R. Pelayo, P.G. Toral, H. Marina, P. de Frutos, J.J. Arranz Supplementary Table S9. Enrichment analysis results from the differentially expressed genes with higher expression in the low-FE-consensus Spanish Assaf ewe group., “Supplementary material for the manuscript "Milk Transcriptome Biomarker Identification to Enhance Feed Efficiency and Reduce Nutritional Costs in Dairy Ewes”., Horizon 2020 Framework Programme SMARTER. Contract No. 772787, Peer reviewed, v01

[Description of methods used for collection/generation of data] Stem pith tissue samples were extracted with 80% methanol and filtered through a 0.22 µm PTFE membrane to an Eppendorf tube. An aliquot was transferred to a HPLC certified vial. Balanced pools of the total sample extracts were prepared as quality control (QC). Blank extractions were used. All samples were evaporated to dryness, stored at 4° C until analysis, and then dissolved in 80% methanol. Metabolomics profiles were acquired using an ultra‐high‐performance liquid chromatography (UHPLC) system (Thermo Dionex Ultimate 3000 LC) coupled to a quadrupole-time-of-flight mass spectrometer (QTOF-MS) equipped with an electrospray ionization source (ESI) (Bruker Compact; Bruker Daltonics). We measured the analytical samples using three analytical batches, each one con-taining 6 blocks of 10 analytical samples. The analytical samples were randomly assigned to batches and blocks within batches. Blanks were placed at the initial and final positions of each batch and QC samples were evenly distributed bordering the blocks. UHPLC separation was performed with a Inten-sity Solo 2 C18 column (1.7 µm, 2.1× 100 mm; Bruker Daltonics) in gradient elution consisted of 0.1% of formic acid on water (solvent A) and acetonitrile (solvent B) as mobile phase in a 0.4 ml/min flow rate. The elution conditions were: 0 min, 3 % B; 4 min, 3 % B; 16 min, 25 % B; 25min, 80% B; 30 min, 100% B; 32 min, 100% B; and return to initial conditions at 33 min (3% B) for 3 min. Full scan MS data were acquired in both positive and negative ionization modes over the mass range of 100–1200 m/z, and under the following specific conditions: gas flow 9 L min−1; nebuliser pressure 2.6 bar; dry gas 9 L min−1; dry temperature 220 °C. Auto MS/MS fragmentation was performed in pooled samples to facilitate compound identification. After each batch, the MS ion source was cleaned, and the MS was recalibrated. [Methods for processing the data:] We pre-processed the raw MS spectra using the algorithm T-Rex 3D in MetaboScape 4.0 software (Bruker Daltoniks, Germany). Parameters were set to separate measured peaks from background noise and features were grouped across samples and corrected for retention time shifts. After this pre-processing, data were prepared for statistical analysis using Metaboanalyst (Chong et al. 2019). Fea-tures with > 75 % missing data were eliminated and missing data imputation was performed using the KNN (feature-wise) method. Afterwards ANCOVA method was used for batch correction and contam-inants present in blanks were removed. Features with percent relative standard deviation (RSD = SD/mean) > 25 % across QCs samples were removed, as well as uninformative features that presented near-constant values detected by the interquartile range filter (IQR). Then, Pareto scaling was applied to adjust for the disparities in fold differences between the analytes., This dataset belongs to an untargeted metabolomic study to investigate i) the responses in maize pith to the attack of the insect Sesamia nonagrioides under plant colonization by the fungus Fusarium verticillioides; ii) if the response differences could depend on genotype resistance to Fusarium; and iii) to determine metabolites associated to beneficial/detrimental changes of on maize performance. The dataset are LC-MS experimental data for untargeted metabolomics of pith tissues extracts from 8 maize inbred lines genetically diverse with different level of resistance to F. verticillioides infection. Inbred lines were PB130, EP77, A509, EP125, EP42, A637, A630, A239. Experimental treatments were four and labeled as: - Control-Control (CC): no seed inoculation with F. verticillioides and no infestation with S. nonagrioides; - Fusarium-Control (FC): seed inoculation with F. verticillioides and no infestation with S. nonagrioides; - Fusarium-Sesamia (FS): seed inoculation with F. verticillioides and plant infestation with S. nonagrioides; - Control-Sesamia (CS): no seed inoculation with F. verticillioides and plant infestation with S. nonagrioides. Up to six plant per genotype-treatment combination were used as biological replicates. Because of the large number of analytical samples were grouped in 3 analytical batches for LC-MS analyses. Each batch contains 6 blocks of 10 analytical samples. The analytical samples were randomly assigned to batches and blocks within batches. Blanks were placed at the initial and final positions of each batch and QC samples were evenly distributed bordering blocks. QCs were balanced pools of the total sample extracts. Spectral data were acquired in a LC-ESI-QTOF mass spectrometer (Bruker Daltonics). MS acquisition was performed in both negative and positive ionization modes for full scan in a mass scan range of m/z 100-1200 with Bruker OTOF Control and DataAnalisys software (Bruker Daltonics).The dataset raw data were converted to mzML format with ProteoWizard MSConvert tool (Version: 3.0.24261). Biosynthesis of unsaturated fatty acids and linolenic acid metabolism were downregulated in susceptible inbreds under the FS treatment compared to CS treatment, and glutathione metabolism and aminoacyl-tRNA biosynthesis upregulated. Phenylalanine, tyrosine and tryptophan biosynthesis (PTTB) pathway was enriched in the comparison FS versus CS in resistant inbreds, as well as other pathways highly related with PTTB pathway such as isoquinoline alkaloid biosynthesis and ubiquinone and other-terpenoid-quinone biosynthesis pathways., This research was funded by subsequent coordinated projects financed by MCIU/AEI/FEDER, UE (RTI2018-096776-B-C21, RTI2018-096776-B-C22, PID2021-122196OB-C21 and PID2021-122196OB-C22)., File List: MS NEG Batch 1.zip MS NEG Batch 2.zip MS NEG Batch 3.zip MS POS Batch 1.zip.001 MS POS Batch 1.zip.002 MS POS Batch 1.zip.003 MS POS Batch 2.zip.001 MS POS Batch 2.zip.002 MS POS Batch 3.zip.001 MS POS Batch 3.zip.002, Peer reviewed

This dataset contains the BOCATS2 2023 (A25-Ovide line) pre-qualified measurements of CTD data and qualified microstructure data, BOCATS2, a continuation of the previous BOCATS project (2014-2017), will be a main contribution to the observation of the NA subpolar gyre by continuing the occupation of the biennial section A25-Ovide (2021 and 2023) within the framework of the international GO-SHIP programme. A particular focus will be given to the new challenge of assessing the variability of the deep circulation in the NA, improving the spatial-temporal resolution of deep currents and water mass characteristics by deploying a regional deep-ARGO array and, at a submillenary scale, using paleoceanographic data obtained in sedimentary records from key sites, such as the Bight and Charlie-Gibbs fracture zones. The high-quality observations foreseen in the SPNA will contribute to the early detection of the alteration of the carbon cycle allowing the precise estimation of the heat, CO2 and N2O storage rates and, ultimately, to find the connection between these changes and the variability of the AMOC at different time scales. The natural and anthropogenic fluxes of heat, CO2 and N2O will be evaluated, as well as the present and submillenary scale transport of sediments and biogenic elements, and the impact of acidification on these timescales by means of the analysis of CaCO3 and organic carbon fluxes to the sediment. Besides, the current ocean acidification rates will also be quantified by evaluating the present situation and establishing future projections. These new observation-based estimates will be a valuable result that will be used to validate the predictions from the models (GCMs and ESMs from CMIP5-6) for the 2°C warming scenario. Finally, special attention will be paid to the rates of elevation of aragonite saturation horizons in deep layers, where the impact on the ecosystems sustained by calcareous organisms is potentially imminent, The Spanish project BOCATS2 with the number PID2019-104279GB-C21 was funded by MCIN/AEI/10.13039/501100011033. The French contribution was funded by Ifremer, and is a contribution to the European project Euro GO-SHIP (Grant agreement n°101094690), Peer reviewed

Calculation of heating time in the microflow reactor, comparison of the XRD spectra, and particle size distribution obtained through the semibatch operation., Peer reviewed

Nuclear and plastid datasets and phylogenomic workflow associated to "Genomic Incongruence Accompanies the Evolution of Flower Symmetry in Eudicots: a case study in the poppy family (Papaveraceae, Ranunculales)", published in Frontiers in Plant Science 15:1340056. This compressed file (poppy_repo.zip) contains a markdown readme file (poppy_readme.md) describing the phylogenomic workflow followed, as well as two dataset folders (poppy_nuc and poppy_pl) divided into four (aln_nuc, gtr_nuc, sptr_nuc, and chrono_nuc) and three (aln_pl, sptr_pl, and chrono_pl) subfolders, respectively. The nuclear folder (poppy_nuc) comprises shrunk and trimmed alignments (aln_nuc), ML gene trees (gtr_nuc), coalescent species trees (sptr_nuc), and a time tree (chrono_nuc). The plastid folder (poppy_pl) comprises shrunk and trimmed alignments (aln_pl), a concatenated ML species tree (sptr_pl), and a time tree (chrono_pl). The research article is available at https://www.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2024.1340056 (doi: 10.3389/fpls.2024.1340056)., [EN] Reconstructing evolutionary trajectories and transitions that have shaped floral diversity relies heavily on the phylogenetic framework on which traits are modelled. In this study, we focus on the angiosperm order Ranunculales, sister to all other eudicots, to unravel higher-level relationships, especially those tied to evolutionary transitions in flower symmetry within the family Papaveraceae. This family presents an astonishing array of floral diversity, with actinomorphic, disymmetric (two perpendicular symmetry axes), and zygomorphic flowers. We generated nuclear and plastid datasets using the Angiosperms353 universal probe set for target capture sequencing (of 353 single-copy nuclear ortholog genes), together with publicly available transcriptome and plastome data mined from open-access online repositories. We relied on the fossil record of the order Ranunculales to date our phylogenies and to establish a timeline of events. Our phylogenomic workflow shows that nuclear-plastid incongruence accompanies topological uncertainties in Ranunculales. A cocktail of incomplete lineage sorting, post-hybridization introgression, and extinction following rapid speciation most likely explain the observed knots in the topology. These knots coincide with major floral symmetry transitions and thus obscure the order of evolutionary events., Plant and Fungal Trees of Life (PAFTOL) N/A Calleva Foundation, Ajut a Grups de Recerca Consolidats (GReB) 2021SGR00315 Government of Catalonia, Ayudas para contratos Ramón y Cajal (Lisa Pokorny) RYC2021-034942-I Ministerio de Ciencia e Innovación, Ayudas para contratos Ramón y Cajal (Jaume Pellicer) RYC-2017-2274 Ministerio de Ciencia e Innovación, H2020 MSCA-ITN-ETN Plant.ID (Yannick Woudstra) 765000 European Union, Peer reviewed

Selective peracetic acid determination in the presence of hydrogen peroxide using the molecular absorption properties of catalase., Peer reviewed

The Supporting Material contains the cartesian coordinates of optimized minima and transition state for the reaction studied in the paper, in .xyz format, computed using ORCA code. The folders are relative to: structures of the first benchmark, optimized at 𝜔B97M-V/def2-TZVP level of theory; structures of the second benchmark, optimized at B3LYP-D3(BJ), 𝜔B97M-V and r2SCAN-3c levels of theory, plus NEB structures at 𝜔B97M-V level; adsorption of H2O, H2S, CO and CS on forsterite, cluster A and cluster B at 𝜔B97M-V/def2-TZVP level of theory: adsorption of the 9 S-bearing species on cluster C at 𝜔B97M-V/def2-TZVP level of theory., Peer reviewed

Materials and methods, synthesis and characterization of compounds, effect of APS type on conversion, kinetic assays of APS, recyclability of APS, SEC chromatograms, DLS data, UV–vis spectra, NMR spectra and supplementary references., Peer reviewed

Comparison of degree of branching (DB) values obtained from two different equations used in hyperbranched polymers (Table S1); DEPT-135 and inverse gated 13C NMR (D2O) spectra of Entry 4 (Figure S1); 1H–13C (DEPT-135) HSQC (D2O) spectrum of Entry 4 (Figure S2); Inverse gated 13C NMR (D2O) spectra of Entries 1, 3, and 7 (Figure S3); DSC data of representative samples (Figure S4); 13C NMR spectra (in methanol-d4) of RhB and RhB-functionalized PG: bcPG, bc+blPG and HPG (Figure S5); FTIR spectra of RhB-functionalized PGs, RhB, and bcPG (Figure S6); GPC data in DMF + 0.1% LiBr of RhB-functionalized PG (Figure S6)., Peer reviewed

[Description of methods used for collection/generation of data] archaeological research. [Methods for processing the data] Photointepretation, field survey and topological analyses., Supplementary material for JASC24-126 manuscript submitted to Journal of Archaeological Science., MSCA 800617 “Road networks and territorial dynamics: a geospatial approach to Andean cultural heritage in motion between the Altiplano and the Pacific coast”, Programa H2020 de la Unión Europea. Ministère de l’Europe et des Affaires Etrangères (France). Ministerio de ciencia e innovación, Agencia estatal de investigación, Consejo superior de investigaciones científicas (España). Axencia galega de innovación., File List: AAzCam_Sites.shp AAzCam_Roads(rawdata).shp AAzCam_Roads(results).shp AAzCam_StudyArea.shp, Peer reviewed