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[Data] Sequences of 150 bp cDNA paired-end recorded in FASTQ format and contained in files fq.gz. Two files for each sample because Sample1_1.fq.gz and Sample1_2.fq.gz contain read1 and read2 for paired-end sequencing of Sample1. More information in file Rawdata.readme.pdf [Files names ] A1_1.fq.gz: resistant inbred bulk, biological replicate 1, read1 A1_2.fq.gz: resistant inbred bulk, biological replicate 1, read2 A2_1.fq.gz: resistant inbred bulk, biological replicate 2, read1 A2_2.fq.gz: resistant inbred bulk, biological replicate 2, read2 A3_1.fq.gz: resistant inbred bulk, biological replicate 3, read1 A3_2.fq.gz: resistant inbred bulk, biological replicate 3, read2 A4_1.fq.gz: susceptible inbred bulk, biological replicate 1, read1 A4_2.fq.gz: susceptible inbred bulk, biological replicate 1, read2 A5_1.fq.gz: susceptible inbred bulk, biological replicate 2, read1 A5_2.fq.gz: susceptible inbred bulk, biological replicate 2, read2 A6_1.fq.gz: susceptible inbred bulk, biological replicate 3, read1 A6_2.fq.gz: susceptible inbred bulk, biological replicate 3, read2 Rawdata.readme.pdf AVAILABLE SOON, Fusarium verticillioides has been known as a causing agent of maize ear rot for long time, but the discovery of fumonisins, mycotoxins produced by F. verticillioides, increased concerns on kernel infection by F. verticillioides. A bulk-segregant RNA-seq approach has been used to identify differentially expressed genes (DEG) between bulks of four resistant and four susceptible inbreds to Fusarium ear rot (FER) and kernel fumonisin contamination in order to uncover the pathways involved in resistance. All inbreds were originated from the same F2 population. Plants were selfcrossed and 15 days later the main ear of the plant was inoculated. RNA-seq analysis was done with RNA extracted from kernels collected 10 days after inoculation using three biological replicates for each bulk (different plants of each inbred were used in each replicate). Bulk samples were barcoded and prepared for sequencing at Novogene Co., Ltd, where 150 bp paired-end (PE) reads were obtained on an Illumina 1.9., Peer reviewed

Fundación General CSIC (Programa ComFuturo); TURBOMIX project (CGL2015-73100-EXP). With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), • lat: latitude • lon: longitude • x, x coordinate • y: y coordinate • time: time • sst: Sea Surface Temperature • hsst: Singularity exponents of Sea Surface Temperature, Peer reviewed

Los datos se extrajeron de Twitter Analytics el 8 de febrero de 2022 y hacen referencia a todos los tweets creados en 2021. Se descargaron los Excel con los datos por meses en csv. Tras su conversión a Excel y ordenados por fecha ascendente se escogieron las siguientes columnas: Fecha - Texto del Tweet - Enlace permanente - Impresiones - Interacciones - Tasa de interacción (en %) - Retweets - Respuestas - Me gusta - Clics de perfil de usuario - Clics en URL - Clics de etiquetas - Ampliaciones de detalles - Visualizaciones multimedia - Interacciones con el contenido multimedia., Documento que contiene los tweets publicados por @DigitalCSIC en 2021 (95)., No

The datasets contain measures of length and width of the egg of three species of Seabirds., Measures of egg volume of three seabirds: the Scopoli's shearwater Calonectis diomedea, the Sandwich tern Thalasseus sandvicensis and the Audouin’s gull Ichthyaetus audouinii in three colonies of the Western Mediterranean., No

FEDER/CM-B2017/BMD-3688; EU H2020-INTERREG 0551_PSL_6_E; FP7-HEALTH-2012-INNOVATION2-AFHELO 304900; PROMETEU/2018/135., zip file containing 2 excel files and 1 pdf file qPCR folder [qPCR_Cells_2021.xlsx] ELISA folder [ELISA IGF-1.xlsx] Western blotting folder [WB_Cells_2021.pdf] Hair_cell_counts folder [Hair_cells_counts.csv; Hair_cells_counts.pdf] IBA1 folder [IBA1_data.csv; IBA1_Results_threholded_area.xls; IBA1_results.pdf] Synaptophysin folder [Syn_data.csv; Syn_Results_intensity.xlsx; Syn_results.pdf] DPOAEs folder [DPOAEs_DATA.csv; DPOAEs_THRESHOLD.csv; DPOAEs_THRESHOLD.pdf] ABR folder [ABR_Noise exposure_adult_mice_Latencies.pdf; ABR_Noise exposure_adult_mice.csv; ABR_Noise exposure_adult_mice.pdf; ABR_Noise exposure_young_mice.csv; ABR_Noise exposure_young_mice.pdf], Peer reviewed

1. Ornamental coloration is frequently an honest signal of quality associated with sexual selection. While changes in average environmental conditions affect carotenoid- and melanin-based coloration, no evidence exists that changes in intrinsic environmental predictability affect coloration. 2. Here we experimentally manipulated the intrinsic predictability of precipitation in semi-natural populations of common lizards Zootoca vivipara and tested its effect on ornamental coloration and reproduction of adult males. 3. Less predictable precipitation decreased hue of carotenoid-based coloration and the extent of melanin-based coloration. Hue was positively correlated and the extent of melanin-based coloration was negatively correlated with the male’s number of confirmed mate partners. 4. Treatment effects on hue were associated with reduced, and treatment effects on the extent of melanin-based coloration with increased access to females, in line with differential effects on sexual selection. 5. Neither survival nor reproductive success of adult males significantly differed among predictability treatments, suggesting that negative effects on reproduction caused by changes in carotenoid-based coloration may have been compensated by changes in melanin-based coloration. 6. The results also showed that ornamentation, rather than reproduction and survival of adult males, was affected by less favorable conditions. Together with previous results, this suggests that coloration might be more sensitive to changes in environmental conditions than direct fitness proxies., The Spanish Ministry of Education through the National Program FPU (FPU 13/03291) supported G.M.F. Funds were provided by the Spanish Ministry of Education and Science (CGL2008-01522, CGL2012-32459, CGL2016-76918P, PID2020-113428GB-I00 to P.S.F.) and the Swiss National Science Foundation (PPOOP3_128375, PP00P3_152929/1 to P.S.F.), Data used in "Masó et al. 2022 Intrinsic climatic predictability affects ornamental coloration of adult males: evidence for compensation among carotenoid- and melanin-based coloration, Functional Ecology, Peer reviewed

Los datos se extrajeron de Twitter Analytics el 7 de febrero de 2022 y hacen referencia a todos los tweets creados en 2021. Se descargaron los Excel con los datos por meses en csv. Tras su conversión a Excel y ordenados por fecha ascendente se escogieron las siguientes columnas: Fecha - Texto del Tweet - Enlace permanente - Impresiones - Interacciones - Tasa de interacción (en %) - Retweets - Respuestas - Me gusta - Clics de perfil de usuario - Clics en URL - Clics de etiquetas - Ampliaciones de detalles - Visualizaciones multimedia - Interacciones con el contenido multimedia., Documento que contiene los tweets publicados en 2021., No

[Description of methods used for collection/generation of data] Liver samples stabilized in RNAlater were homogenized using RLT (Qiagen), Lysing Matrix D and a FastPrep-24 instrument (MP Biochemicals); RNA purification was performed with the RNeasy Mini kit and RNase-Free DNase Set kit (Qiagen). "Poly(A)+ mRNA fraction was isolated from total RNA and cDNA libraries were obtained following Illumina´s recommendations. Briefly, poly(A)+ RNA was isolated on poly-T oligo-attached magnetic beads and chemically fragmented prior to reverse transcription and cDNA generation. The cDNA fragments then go through an end repair process, the addition of a single ‘A’ base to the 3’ end and then ligation of the adapters. Finally, the products are purified and enriched with PCR to create the indexed final double stranded cDNA library. The quality of the libraries was analyzed in Bioanalyzer 2100, High Sensitivity assay; the quantity of the libraries was determined by real-time PCR in LightCycler 480 (Roche). The pool of the libraries was sequenced by paired-end sequencing (100 × 2) in an Illumina HiSeq 2500 instrument.", [Methods for processing the data] Basecalls performed using bcl2fastq 1.8.4 BBDuk version 36.30 (BBMap tools) was applied to raw fastq files for quality trimming (Phred >= 20), filtering short reads (min length = 30) and removing adapter sequences BBMap version 36.30 was used to map the trimmed reads onto the reference genome; parameters: "maxindel=200k ambig=random intronlen=20" Bioconductor packages GenomicFeatures (v 1.24.5), GenomicAlignments (v 1.8.4) and the Oar_rambouillet_v1.0 annotation were used to calculate per gene read counts. Bioconductor package mygene was used to obtain the Entrez ID Differential expression analysis was conducted with the bioconductor package DESeq2 (v 1.12.4). TPM values were calculated according to Wagner et al. (2012; PMID 22872506) using DESeq2-normalized read counts GCF_002742125.1 The processed data file contains the results of the DESeq2 differential expression analysis, the TPM values for each sample/biological replicate and the Entrez annotation., [Purpose] The present study was designed to identify both differentially expressed (DE) genes in the liver tissues of fattening Merino lambs and differences in metabolites accumulated in plasma, thus trying to identify modified metabolic pathways as a consequence of dietary L-carnitine administration during the fattening period of early feed restricted lambs., [Methods] Twenty-two male Merino lambs, all of them milk restricted during the suckling period, were assigned to 2 different groups (n=11 per dietary treatment). The first group (CARN, carnitine group) were fed a completed pelleted diet ad libitum formulated with 3 g of L-carnitine/kg diet, and the control group (CTRL) received the same diet with no additive included. All the lambs were slaughtered with 34 kg. For transcriptomic analysis, 4 liver samples representative from each group (8 samples in total) were selected for RNA sequencing methodology (RNA-seq)., [Results] 104 DE annotated genes were identified by RNA-seq, with 36 DE genes being down-regulated and 68 up-regulated in the liver of CARN relative to the CTRL group (P < 0.05). In general, those genes and pathways related to ribosomes and translation, cholesterol, ATP-binding and ATPase activity, and ABC transporters were up-regulated in the CARN group, thus suggesting an improved metabolism of the muscle and a reduced absorption and increased excretion of cholesterol in these lambs., [Conclusions] According to the data obtained, the administration of 3 g of L-carnitine carnitine/ kg diet during the fattening period of early feed restricted lambs increases the expression of genes related to ribosomes and traslation and also those involved in the excretion of cholesterol into bile acids or a reduced cholesterol absorption in the intestine., This work was funded by Ministerio de Ciencia e Innovación (RTI2018-099329-B-I00, MCIN/AEI/10.13039/501100011033, “FEDER, Una manera de hacer Europa”); ACRONYM: CARNOVI Alba Martín gratefully acknowledges receipt of a pre-doctoral grant (PRE2019-089288) from Ministerio de Ciencia e Innovación (MCIN/AEI/10.13039/501100011033, “El FSE invierte en tu futuro”); CSIC is acknowledged for supporting Open Access publication., File List: DESeq2_Results_TPM_AbundanceValues.xlsx; SM004296_1_S1_L001_R2_001.fastq.gz; SM004296_8_S8_L003_R2_001.fastq.gz; SM004296_3_S3_L001_R2_001.fastq.gz; SM004296_4_S4_L001_R2_001.fastq.gz; SM004296_2_S2_L001_R2_001.fastq.gz; SM004296_6_S6_L003_R2_001.fastq.gz; SM004296_1_S1_L001_R1_001.fastq.gz; SM004296_8_S8_L003_R1_001.fastq.gz; SM004296_3_S3_L001_R1_001.fastq.gz; SM004296_4_S4_L001_R1_001.fastq.gz; SM004296_2_S2_L001_R1_001.fastq.gz; SM004296_6_S6_L003_R1_001.fastq.gz; SM004296_5_S5_L003_R2_001.fastq.gz; SM004296_5_S5_L003_R1_001.fastq.gz; SM004296_7_S7_L003_R2_001.fastq.gz; SM004296_7_S7_L003_R1_001.fastq.gz. Liver samples of lambs slaughtered with 34 kgs of live body weight., No

Dataset of the scientific article "Heterozygosity, genetic similarity and extra-pair paternity variation in two populations of Rock Sparrow Petronia petronia: a within- and between- populations comparison"., The study was financially supported by Ministerio de Ciencia, Innovación y Universidades, MICINN, Spanish Government (postdoctoral grant IJC2018-035011-I to AC and project no. PGC2018-097426-B-C21) and by the PRIN 2017 grant to MG and AP (Grant no. 20178T2PSW)., Peer reviewed

The study was undertaken in six medieval-like model glass samples UG (unaltered glass), MAK, MAR, MTA, MTB and MTN subjected to various environmental and atmospheric conditions in order to generate alteration layers of different characteristics. A potash-lime silicate glass, with composition similar to that of medieval glasses, was melted at 1400 °C during two hours, poured in a brass mould of rectangular cross section and annealed at 650 °C. The resulting glass ingot was cut in slices of around 10×10×2 mm3 and then polished using emery paper and an aqueous suspension of cerium oxide to obtain optical quality surfaces. Alteration of the glass slices was conducted by exposure to five different laboratory corrosion tests: SO2 corrosion for MAK sample, synthetic river water degradation for MAR, and degradation due to acid, basic and neutral medium for MTA, MTB and MTN, respectively. This dataset consists of images of the samples; Laser-induced Breakdown Spectrocopy (LIBS) spectra; Laser-induced Fluorescence (LIF) spectra; Optical Microscopy (OM); FT-Raman spectroscopy and Multi-Photon Excitation Fluorescence (MPEF) signals obtained with a Nonlinear optical microscopy (NLOM). This information allows characterizing the composition of both body glass and determining the thickness of the degradation layer. Images are presented in JPG. All spectra are presented in cvs format, in a single page. Descriptions of the samples and the experimental conditions in which the spectra were taken and the name of the column values are included at the top of each page. For LIBS, 1 file per sample of elemental composition of the medieval-like glass are included. Each file is composed of 2 columns (wavelength and intensity). For LIF, 1 file per sample of the analysis of fluorescent species of each medieval-like glass are included. Each file is composed of 2 columns (wavelength and intensity). For NLOM, 2 files per sample. In the first one: “MPEF Safe limits”, each file is composed for 10 columns: 2 are for depth (µm) and 8 are for MPEF signal divided in two groups relating to the the power in the sample surface. In the second group of files: “MPEF profiles”, each file is composed for 4 columns: 1 is for depth (µm), 1 is the normalized MPEF intensity, 1 is the Lorentzian fit of depth (µm) and the last one Lorentzian fit. (The thicknesses of the degradation layers of the medieval-like glasses is calculated by the FWHM values of the fits after refractive index corrections). For FT-Raman, 1 file per sample of the analysis of the structure of the medieval-like glass through their vibrational modes is included. Each file is composed of 2 columns (Raman shift and intensity in arbitrary units). This dataset is subject to a Creative Commons Attribution 4.0 International (CC BY 4.0) License., This is the experimental dataset used in the paper Eur. Phys. Plus, 136:859 (2021) (http://hdl.handle.net/10261/248668). Historical glass-based objects undergo, since the time of their manufacture, different degradation phenomena that are related to their composition and to the environment to which they were exposed. Three-dimensional (3D) structural and chemical characterization of the degradation layers is important to select the most adequate conservation strategies for glass objects. Optical microscopy (OM) is the most frequently used non-destructive method to examine the surface of historical glasses; however, the 3D structural assessment of alteration layers requires applying the destructive modality of this technique to conduct a cross-sectional study. In this work, a different approach for structural and compositional characterization of alteration layers on model medieval-like glasses is presented, based on the combination of the laser spectroscopies of laser-induced breakdown spectroscopy (LIBS), laser-induced fluorescence (LIF) and FT-Raman, and the emerging, cutting edge technique of nonlinear optical microscopy (NLOM) in the modality of multiphoton excitation fluorescence (MPEF). The results obtained through this multi-analytical photonic approach were compared with those retrieved by examination of the surface and cross sections of the samples by OM and scanning electron microscopy–energy-dispersive X-ray spectroscopy (SEM–EDS). While the combination of LIBS, LIF and FT-Raman served to assess the composition of the various alteration layers, the use of MPEF microscopy allowed the non-destructive determination of the thicknesses of these layers, showing for both thickness and composition a good agreement with the OM and SEM–EDS results. Thus, the proposed approach, which avoids sample preparation, illustrates the capability of non-destructive, or micro-destructive in the case of LIBS, laser spectroscopies and microscopies for the in situ study of glass objects of historic or/and artistic value, This research has been funded by the Spanish State Research Agency (AEI) through projects PID2019-104124RB-I00/AEI/1013039/501100011033, the CSIC General Foundation (ComFuturo Programme), by project TOP Heritage-CM (S2018/NMT-4372) from Community of Madrid, by the H2020 European project IPERION HS (Integrated Platform for the European Research Infrastructure ON Heritage Science, GA 871034). Support by CSIC Interdisciplinary Platform “Open Heritage: Research and Society” (PTI-PAIS) is acknowledged. M.O. thanks CSIC for a contract. The authors also thank M.A. Villegas and M. García Heras (Institute of History, CSIC) for fruitful discussions on historical glasses., There are 4 files which correspond to each technic employed for the analysis of the six different samples. The file title “LIBS” contains: LIBS_UG; LIBS_MAK; LIBS_MAR; LIBS_MTA; LIBS_MTB; LIBS_MTN. The file for “LIF” contains: LIF_UG; LIF_MAK; LIF_MAR; LIF_MTA; LIF_MTB; LIF_MTN. The file for “FT-RAMAN” contains: FT-RAMAN_UG; FT-RAMAN_MAK; FT-RAMAN_MAR; FT-RAMAN_MTA; FT-RAMAN_MTB; FT-RAMAN_MTN. For the “MPEF” there are two files inside. One title “MPEF safe limits” which contains the documents: MPEF_MAK_SL; MPEF_MAR_SL; MPEF_MTA_SL; MPEF_MTB_SL; MPEF_MTN_SL. And the other called “MPEF profiles” which contains: MPEF_MAK_PROFILE; MPEF_MAR_PROFILE; MPEF _MTA_PROFILE; MPEF _MTB_PROFILE; MPEF _MTN_PROFILE., Peer reviewed