Resultados de investigación

PDF: pubarch_biblio_report (report); Excel: pubarch_biblio_raw (table)., Table with the raw data from the analysis of citations in a series of public archaeology publications. With it, a short report to understand it., PDF: pubarch_biblio_report (report); Excel: pubarch_biblio_raw (table), Peer reviewed

1 file, Summary of the data from figures and tables presented in Alonso A.A., X.A. Álvarez-Salgado, L.T. Antelo (2021). Assessing the impact of bivlave aquaculture on the carbon circular economy. Journal of Cleaner Production 279, 123873. DOI: 10.1016/j.jclepro.2020.123873, EU H2020, poject AquaVitae (EU 818173), Peer reviewed

[EN] In the videos these properties are illustrated in three different gels: PEO9-5-U150 is a gel prepared with 5 wt% of poly(ethylene oxide) of molecular weight 900000 g/mol. PEO50-1-U150 is a gel prepared with 1 wt% of poly(ethylene oxide) of molecular weight 5000000 g/mol. PEO80-1-U150 is a gel prepared with 5 wt% of poly(ethylene oxide) of molecular weight 8000000 g/mol., [ES] En los vídeos aparecen ilustradas su tenacidad, su elasticidad y su carácter pegajoso en geles preparados con: Poli(óxido de etileno) de peso molecular 8000000 g mol-1, añadido a la uralumina al 1 % en peso (PEO80-1U150), Poli(óxido de etileno) de peso molecular 5000000 g mol-1 añadido también al 1% en peso (PEO50-1-U150) y Poli(óxido de etileno) de peso molecular 900000 g mol-1 añadido al 5% en peso (P9-5-U150)., [EN] Polymer gel electrolytes for secondary aluminium batteries, prepared with the deep eutectic solvent uralumina (urea:AlCl3) and poly(ethylene oxide) of different molecular weight and at different concentrations. These gels are elastic, tough, thermoreversible and wet well the electrodes, being very sticky., [ES ]Geles poliméricos para baterías secundarias de aluminio, preparados con el disolvente eutéctico profundo uralumina (urea:AlCl3) y poli(óxido de etileno) de distintos pesos moleculares y en distintas concentraciones. Los geles son elásticos, tenaces, termorreversibles y se pegan muy bien a los electrodos, por lo que son excelentes electrolitos en gel., The authors acknowledge financial support from project European Union H2020-FETOPEN-1-2016-2017 call (G A. No. 766581, SALBAGE project). All calculations were carried out at the Wrocław Center for Networking and Supercomputing, Grant 346., Peer reviewed

Data provided by Copernicus Marine Service MEDSEA_MULTIYEAR_PHY_006_004 SEALEVEL_MED_PHY_L4_REP_OBSERVATIONS_008_051 MULTIOBS_GLO_PHY_015_004, The creation of a data base of historical trajectories of floating and drifting devices around the Iberian Peninsula and a climatology of surface ocean currents to assess search and rescue emergencies, pollution emergencies and speed up forensic investigations. Data source Mediterranean and Atlantic CMEMS products. Time coverage 12 months. Time resolution 1 month. Spatial coverage Latitude range: 25ºN-52ºN Longitude range: 25ºW-36.5ºE. Spatial resolution Atlantic: 1/4º Mediterranean:1/8º. Spatial projection Geographical latitude / longitude projection. Spatial datum WGS84 – World Geodetic System 1984 (EPGS: 4326). Format NetCDF. Climate and Forecast (CF) conventions version: 1.6., COSMO (Corrientes Oceánicas y Seguridad en el Medio Marino) Code: CTM2016-79474-R, Spanish Ministry of Economy and Competitiveness (MINECO) and MED OSMoSIS (Mediterranean governance for Strategic Maritime Surveillance and Safety issues) Ref:6MED20_4.1_SP_005, With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), Climatologic value of zonal and meridional velocity, associated statistical magnitudes (number of measures, standard deviation, kurtosis and skewness), and multimodal status flag, Peer reviewed

Datos de las proporciones relativas de los compuestos volátiles presentes en la secreción de la glándula uropigial de Mirlo común (Turdus merula), que pertenecen a grandes grupos de compuestos, tales como alcoholes, aldehídos, alkanos, amidas, ácidos carboxílicos, ésteres de ácidos carboxílicos, furanonas, ketonas, pyrazinas, esteroides y ceras. Se indica en cada individuo la proporción relativa de los compuestos detectados, a partir del área que cada compuesto ocupaba en el cromatograma generado en el programa Xcalibur. Estas secreciones fueron recogidas en 2015 en Sevilla en dos áreas de muestreo diferentes: en el Corredor Verde del Guadiamar, y en el parque María Luisa. Para cada individuo se indica la edad (adulto/juvenil) y el sexo (macho/hembra)., The uropygial gland of birds produces an oily secretion with different functions, mainly related to plumage protection. In addition, the volatile compounds of this secretion may act as chemical signals that provide information to conspecifics, but it is also possible that those compounds may further attract hematophagous insect vectors such as those responsible for avian malaria transmission. Individual characteristics such as sex and age are usually associated with variation in the composition of the uropygial secretion. Different studies have shown that mosquitoes are more attracted towards individual birds infected by avian malaria parasites. However, whether the individual infection status by these parasites may lead to differences in the composition of this secretion remains poorly known. We used Gas Chromatography-Mass Spectrometry (GC-MS) to characterise the chemical composition of the volatile lipophilic fraction of the uropygial gland secretions of wild European blackbirds and compare its composition in an urban and a forest locality according to their age, sex and infection status by blood parasites. We found differences in the composition of the secretion between age classes and also between sexes within adult birds. However, no differences were found in the chemical composition of the uropygial gland secretion of birds according to their infection status by blood-parasites and habitat type. These results suggest that haemosporidian infection does not alter the composition of the volatile fraction of uropygial gland secretions in infected birds., This study was funded by projects CGL2015-65055-P and PGC2018-095704-B-I00 from the Spanish Ministry of Science and Innovation and European Regional Development Fund (FEDER)., Peer reviewed

We present a new comprehensive index for mapping the relative conservation value of threatened biodiversity. The index is based on explicit criteria to (1) select threatened species according to regional government responsibility for species’ conservation; (2) combine species’ presence by means of weighting factors based on differences in threat status, sensitivity to disturbance, functional role, and amount of knowledge; and (3) map species distributions at the scale of 1 km×1 km UTM squares or lower from the information available. We tested the performance of the index in the forest of Andalusia (southern Spain), an extensive European region of 87,268 km2, with 43,864 km2 (ca. 50%) classified as forest habitats. All species included in the Annexes of the European Birds and Habitats Directives inhabiting the target area, plus the regionally endemic species either ‘Critically Endangered’ or ‘Endangered’ not (yet) covered by the Directives were selected. The final list included 224 species: 81 plants, 76 birds, 31 mammals, 22 arthropods, six reptiles, five amphibians, and three mollusks. Fine-scale distribution maps were available for 108 species (48%). The remaining maps were downscaled from published 10 km×10 km UTM maps using knowledge on species’ habitat requirements and land-use maps. We overlapped the fine-scale maps with the 86,546 forest tiles of the Andalusian Forest Map and weighted presences by a factor of relative conservation estimated for each species to obtain an index of the relative conservation of each forest tile. Index values were higher in protected areas, and in different forest habitats according to expected numbers of endangered species. Index values were correlated with the existence value of threatened species, but the index underestimate existence values especially for the most valuable tiles. The proposed index allows mapping the relative conservation value of threatened biodiversity by integrating knowledge on all threatened species into a single variable. Integration is based on explicit methodological criteria for species selection, combination of relative conservation values, and estimation of downscaled maps. Accurate mapping and synthetic summary of compulsory data on the conservation status of all species present in a territory advise its extended use for threatened biodiversity valuation in both Europe and elsewhere., Junta de Andalucía, Award: RECAMAN (contract n° NET165602). Spanish National Plan of R&D, Award: VEABA (ECO2013-42110-P). Spanish National Plan of R&D, Award: TrEnGood (ECO2017-84461-R)., Peer reviewed

Who produced the data? The data has been created by the authors listed above. Is the title specific enough? "Datasets related to a study aimed to identify genetic markers of CDA by subphenotypes associated with cardiotoxicity." Why has the data been created? These datasets are supplementary material with which the principal and supplementary figures and tables of our indicated work were generated. What limitations do the data have (for example, sensitive data has been deleted)? All confidential patient information is not present. We have not had access to that information, following current legal regulations. How should the data be interpreted? These data sets should not be separated from the main article in which they were utilized. Thus, to better understand their context, researchers should see them in the global scenario of our work. Are there gaps in the data, or do they give a complete picture of the topic studied? As indicated above, data should be considered and interpreted in the global context of our study. What processes have generated the data? The processes that generated the data are indicated in the summary of the data above and individually for each of them. Thus, each dataset is accompanied by a legend within the document. What does the data measure in the columns of the files? As indicated, each dataset individually shows the information contained in the legend of each dataset. What software is required to be able to read the data? The datasets are in Excel format. How should the data be quoted? Researchers should cite the data in the context of the work they belong to once it is published and free of the embargo. Can the data be reused? What use licenses are assigned to you? In principle, yes. If additional clinical information is required, these data were previously published by some of us, and the references are included in our manuscript. These data are available from the principal investigators of the references listed in our work upon reasonable request. Are there more versions of the data? Where? I do not think so beyond our files and copies. Have the technical terms and acronyms referenced by the data been defined? A legend with the appropriate descriptions accompanies each dataset. Have the geographic and chronological parameters of the data been qualified? The authors of the work have generated the data. Elsewhere, we indicate the authors of the work, their contributions, and affiliations. Are keywords sufficiently data-specific? Are they based on any thesaurus? Keywords are based on our study. We include cardiotoxicity due to anthracyclines, missing heritability, subphenotype, pathophenotype, complex trait. What is the name of the research project in which the data are framed? The main research project in which the data is prepared is: Títle: "Chemotherapy cardiotoxicity in the elderly: a translational and personnel approach." Ref.: PIE14/00066 Who has financed data production and management? Each of the authors of the study has its funding. The grants are included in the acknowledgments section of our manuscript., The data were created over the last six years during the achievement of this project., Here we present a series of supplemental datasets that complement our study entitled "A Systems Genetics approach to identify genetic markers of cardiotoxicity due to anthracyclines in cancer patients." The datasets presented here were used to generate the main and supplementary figures and tables of the indicated study. The study consists of the identification of genetic markers of cardiotoxicity due to anthracyclines (CDA). CDA is a complex genesis disease or complex trait, and because of this, there is a component of missing heritability. Therefore, it is not possible to identify genetic markers associated with CDA risk. Here, we propose that molecular subphenotypes associated with the CDA may be a strategy for identifying some of this missing heritability and risk markers associated with it. A similar strategy could be applied to identify markers of other diseases of complex genesis. This study is done using a genetically heterogeneous cohort of mice that developed breast cancer and was treated with doxorubicin or a combined treatment of doxorubicin and docetaxel. The mouse cohort was generated by backcrossing, so each mouse is genetically unique. Post-chemotherapy heart damage was assessed by quantifying fibrosis's cardiac area and the thickness of myocardial fibers. The genetic regions associated with CDA were assessed by massive genotyping and genetic linkage analysis. Several molecular subphenotypes were quantified in the myocardium, and their association with the CDA was evaluated. Subsequently, we identified which of them were most statistically associated with CDA in multivariate models. Moreover, which complex trait loci (QTLs) associated with molecular subphenotypes best explained CDA. This strategy served to identify in the cohort of mice genes whose allelic forms could be candidates for the risk of CDA. Allelic variants of these genes were evaluated in four cohorts of cancer patients treated with anthracyclines and whose CDA was evaluated by echocardiography or cardiac magnetic resonance imaging (CMR)., JPL laboratory was partially supported by the European Regional Development Fund (ERDF) and the Ministry of Science, Innovation, and Universities (SAF2014-56989-R, SAF2017-88854R), the Carlos III Health Institute (PIE14/00066), "Proyectos Integrados IBSAL 2015" (IBY15/00003), the Regional Government of Castile and Leon (CSI234P18), and "We can be heroes" Foundation. AGN laboratory and human patients' study are supported by funds from the ISCIII project grant (PI18/01242). The Human Genotyping unit is a member of CeGen, PRB3, and is supported by grant PT17/0019, of the PE I+D+i 2013-2016, funded by ISCIII and ERDF. SCLL was the recipient of a Ramón y Cajal research contract from the Spanish Ministry of Economy and Competitiveness, and the work was supported by MINECO/FEDER research grants (RTI2018-094130-B-100). The Proteomics Unit belongs to ProteoRed, PRB3-ISCIII, supported by grant PT17/0019/0023, of the PE I + D + I 2017-2020, funded by ISCIII and FEDER. RCC is funded by fellowships from the Spanish Regional Government of Castile and León. NGS is a recipient of an FPU fellowship (MINECO/FEDER). hiPSC-CM studies were funded in part by the "la Caixa" Banking Foundation under the project code HR18-00304" and Severo Ochoa CNIC Intramural Project (Expediente 12-2016 IGP) to JJ., Supplemental Dataset 1: CDA pathophenotypes after doxorubicin treatment. We treated 71 mice carrying breast cancer with doxorubicin. Each mouse was generated by backcrossing; thus, each one is genetically unique. Cardiotoxicity due to anthracyclines (CDA) was evaluated by automatically quantifying the heart fibrosis area and the average area of myocardial fibers as pathophenotypes of cardiotoxicity using the Ariol slide scanner. The histopathological damage was evaluated in the subendocardium and subepicardium from five randomly chosen regions of each sample (averages in μm2 are shown).-- Supplemental Dataset 2: CDA pathophenotypes after the combined therapy. We treated 61 mice carrying breast cancer with the combined therapy with doxorubicin and docetaxel. Each mouse was generated by backcrossing; thus, each one is genetically unique. Cardiotoxicity due to anthracyclines (CDA) was evaluated by automatically quantifying the heart fibrosis area and the average area of myocardial fibers as pathophenotypes of cardiotoxicity using the Ariol slide scanner. The histopathological damage was evaluated in the subendocardium and subepicardium from five randomly chosen regions of each sample (averages in μm2 are shown).-- Supplemental Dataset 3: CDA subphenotypes after doxorubicin therapy. Myocardium molecular subphenotypes after doxorubicin therapy. Proteins were quantified by a multiplex bead array (Luminex). TGFβ units are shown in pg/mL. The rest of the protein levels are shown in molecular fluorescence intensity (MFI) Units. The telomeric length was quantified by QPCR (RQ units). miRNAs were quantified by QPCR (RQ units). QPCR analyses were assessed by the ΔΔCT method; we show the averages of triplicates.-- Supplemental Dataset 4: CDA subphenotypes after the combined therapy. Myocardium molecular subphenotypes after the combined therapy with doxorubicin and docetaxel. Proteins were quantified by a multiplex bead array (Luminex). TGFβ units are shown in pg/mL. The rest of the protein levels are shown in molecular fluorescence intensity (MFI) Units. The telomeric length was quantified by QPCR (RQ units). miRNAs were quantified by QPCR (RQ units). QPCR analyses were assessed by the ΔΔCT method; we show the averages of triplicates.-- Supplemental Dataset 5: Correlations identified between molecular subphenotype levels in the myocardium and pathophenotypes of cardiotoxicity due to anthracyclines (CDA) after doxorubicin therapy in all mice.-- Supplemental Dataset 6: Correlations identified between molecular subphenotype levels in the myocardium and pathophenotypes of cardiotoxicity due to anthracyclines (CDA) after doxorubicin therapy in young mice. Correlation of Spearman.-- Supplemental Dataset 7: Correlations identified between molecular subphenotype levels in the myocardium and pathophenotypes of cardiotoxicity due to anthracyclines (CDA) after doxorubicin therapy in old mice. Correlation of Spearman.-- Supplemental Dataset 8: Correlations identified between molecular subphenotype levels in the myocardium and pathophenotypes of cardiotoxicity due to anthracyclines (CDA) after the combined therapy in all mice. Correlation of Spearman.-- Supplemental Dataset 9: Correlations identified between molecular subphenotype levels in the myocardium and pathophenotypes of cardiotoxicity due to anthracyclines (CDA) after the combined therapy in young mice. Correlation of Spearman.-- Supplemental Dataset 10: Correlations identified between molecular subphenotype levels in the myocardium and pathophenotypes of cardiotoxicity due to anthracyclines (CDA) after the combined therapy in old mice. Correlation of Spearman.-- Supplemental Dataset 11: Linkage analysis of molecular subphenotype levels quantified in the myocardium. Lod scores after doxorubicin therapy in all mice. The Illumina Mouse Medium Density Linkage Panel Assay was used to genotype 130 F1BX mice at 1449 single nucleotide polymorphisms (SNPs). Genotypes were classified as FVB/FVB (F/F) or FVB/C57BL/6 (F/B). Ultimately, 806 SNPs are informative from the FVB and C57BL/6 mice; the average genomic distance between these SNPs was 9.9 Mb. The genotype proportion among the F1BX mice showed a normal distribution. Linkage analysis was carried out using interval mapping with the expectation-maximization (EM) algorithm and R/QTL software. The criteria for significant and suggestive linkages for single markers were chosen based on Lander and Kruglyak (see methods section of our manuscript).-- Supplemental Dataset 12: Linkage analysis of molecular subphenotype levels quantified in the myocardium. Lod scores after doxorubicin therapy in young mice. The Illumina Mouse Medium Density Linkage Panel Assay was used to genotype 130 F1BX mice at 1449 single nucleotide polymorphisms (SNPs). Genotypes were classified as FVB/FVB (F/F) or FVB/C57BL/6 (F/B). Ultimately, 806 SNPs are informative from the FVB and C57BL/6 mice; the average genomic distance between these SNPs was 9.9 Mb. The genotype proportion among the F1BX mice showed a normal distribution. Linkage analysis was carried out using interval mapping with the expectation-maximization (EM) algorithm and R/QTL software. The criteria for significant and suggestive linkages for single markers were chosen based on Lander and Kruglyak (see methods section of our manuscript).-- Supplemental Dataset 13: Linkage analysis of molecular subphenotype levels quantified in the myocardium. Lod scores after doxorubicin therapy in old mice. The Illumina Mouse Medium Density Linkage Panel Assay was used to genotype 130 F1BX mice at 1449 single nucleotide polymorphisms (SNPs). Genotypes were classified as FVB/FVB (F/F) or FVB/C57BL/6 (F/B). Ultimately, 806 SNPs are informative from the FVB and C57BL/6 mice; the average genomic distance between these SNPs was 9.9 Mb. The genotype proportion among the F1BX mice showed a normal distribution. Linkage analysis was carried out using interval mapping with the expectation-maximization (EM) algorithm and R/QTL software. The criteria for significant and suggestive linkages for single markers were chosen based on Lander and Kruglyak (see methods section of our manuscript).-- Supplemental Dataset 14: Linkage analysis of molecular subphenotype levels quantified in the myocardium. Lod scores after the combined therapy in all mice. The Illumina Mouse Medium Density Linkage Panel Assay was used to genotype 130 F1BX mice at 1449 single nucleotide polymorphisms (SNPs). Genotypes were classified as FVB/FVB (F/F) or FVB/C57BL/6 (F/B). Ultimately, 806 SNPs are informative from the FVB and C57BL/6 mice; the average genomic distance between these SNPs was 9.9 Mb. The genotype proportion among the F1BX mice showed a normal distribution. Linkage analysis was carried out using interval mapping with the expectation-maximization (EM) algorithm and R/QTL software. The criteria for significant and suggestive linkages for single markers were chosen based on Lander and Kruglyak (see methods section of our manuscript).-- Supplemental Dataset 15: Linkage analysis of molecular subphenotype levels quantified in the myocardium. Lod scores after the combined therapy in young mice. The Illumina Mouse Medium Density Linkage Panel Assay was used to genotype 130 F1BX mice at 1449 single nucleotide polymorphisms (SNPs). Genotypes were classified as FVB/FVB (F/F) or FVB/C57BL/6 (F/B). Ultimately, 806 SNPs are informative from the FVB and C57BL/6 mice; the average genomic distance between these SNPs was 9.9 Mb. The genotype proportion among the F1BX mice showed a normal distribution. Linkage analysis was carried out using interval mapping with the expectation-maximization (EM) algorithm and R/QTL software. The criteria for significant and suggestive linkages for single markers were chosen based on Lander and Kruglyak (see methods section of our manuscript).-- Supplemental Dataset 16: Linkage analysis of molecular subphenotype levels quantified in the myocardium. Lod scores after the combined therapy in old mice. The Illumina Mouse Medium Density Linkage Panel Assay was used to genotype 130 F1BX mice at 1449 single nucleotide polymorphisms (SNPs). Genotypes were classified as FVB/FVB (F/F) or FVB/C57BL/6 (F/B). Ultimately, 806 SNPs are informative from the FVB and C57BL/6 mice; the average genomic distance between these SNPs was 9.9 Mb. The genotype proportion among the F1BX mice showed a normal distribution. Linkage analysis was carried out using interval mapping with the expectation-maximization (EM) algorithm and R/QTL software. The criteria for significant and suggestive linkages for single markers were chosen based on Lander and Kruglyak (see methods section of our manuscript).-- Supplemental Dataset 17: Massive genotyping of mouse cohort treated with doxorubicin. The genome-wide scan was carried out at the Spanish National Centre of Genotyping (CeGEN) at the Spanish National Cancer Research Centre (CNIO, Madrid, Spain). The Illumina Mouse Medium Density Linkage Panel Assay was used to genotype 130 F1BX mice at 1449 single nucleotide polymorphisms (SNPs). Genotypes were classified as FVB/FVB (F/F) or FVB/C57BL/6 (F/B). Ultimately, 806 SNPs are informative from the FVB and C57BL/6 mice; the average genomic distance between these SNPs was 9.9 Mb. The genotype proportion among the F1BX mice showed a normal distribution.-- Supplemental Dataset 18: Massive genotyping of mouse cohort treated with the combined therapy. The genome-wide scan was carried out at the Spanish National Centre of Genotyping (CeGEN) at the Spanish National Cancer Research Centre (CNIO, Madrid, Spain). The Illumina Mouse Medium Density Linkage Panel Assay was used to genotype 130 F1BX mice at 1449 single nucleotide polymorphisms (SNPs). Genotypes were classified as FVB/FVB (F/F) or FVB/C57BL/6 (F/B). Ultimately, 806 SNPs are informative from the FVB and C57BL/6 mice; the average genomic distance between these SNPs was 9.9 Mb. The genotype proportion among the F1BX mice showed a normal distribution.-- Supplemental Dataset 19: Linkage analysis of CDA pathophenotypes quantified in the myocardium. Lod scores after doxorubicin therapy in all mice. The Illumina Mouse Medium Density Linkage Panel Assay was used to genotype 130 F1BX mice at 1449 single nucleotide polymorphisms (SNPs). Genotypes were classified as FVB/FVB (F/F) or FVB/C57BL/6 (F/B). Ultimately, 806 SNPs are informative from the FVB and C57BL/6 mice; the average genomic distance between these SNPs was 9.9 Mb. The genotype proportion among the F1BX mice showed a normal distribution. Linkage analysis was carried out using interval mapping with the expectation-maximization (EM) algorithm and R/QTL software. The criteria for significant and suggestive linkages for single markers were chosen based on Lander and Kruglyak (see methods section of our manuscript).-- Supplemental Dataset 20: Linkage analysis of CDA pathophenotypes quantified in the myocardium. Lod scores after doxorubicin therapy in young mice. The Illumina Mouse Medium Density Linkage Panel Assay was used to genotype 130 F1BX mice at 1449 single nucleotide polymorphisms (SNPs). Genotypes were classified as FVB/FVB (F/F) or FVB/C57BL/6 (F/B). Ultimately, 806 SNPs are informative from the FVB and C57BL/6 mice; the average genomic distance between these SNPs was 9.9 Mb. The genotype proportion among the F1BX mice showed a normal distribution. Linkage analysis was carried out using interval mapping with the expectation-maximization (EM) algorithm and R/QTL software. The criteria for significant and suggestive linkages for single markers were chosen based on Lander and Kruglyak (see methods section of our manuscript).-- Supplemental Dataset 21: Linkage analysis of CDA pathophenotypes quantified in the myocardium. Lod scores after doxorubicin therapy in old mice. The Illumina Mouse Medium Density Linkage Panel Assay was used to genotype 130 F1BX mice at 1449 single nucleotide polymorphisms (SNPs). Genotypes were classified as FVB/FVB (F/F) or FVB/C57BL/6 (F/B). Ultimately, 806 SNPs are informative from the FVB and C57BL/6 mice; the average genomic distance between these SNPs was 9.9 Mb. The genotype proportion among the F1BX mice showed a normal distribution. Linkage analysis was carried out using interval mapping with the expectation-maximization (EM) algorithm and R/QTL software. The criteria for significant and suggestive linkages for single markers were chosen based on Lander and Kruglyak (see methods section of our manuscript).-- Supplemental Dataset 22: Linkage analysis of CDA pathophenotypes quantified in the myocardium. Lod scores after the combined therapy in all mice. The Illumina Mouse Medium Density Linkage Panel Assay was used to genotype 130 F1BX mice at 1449 single nucleotide polymorphisms (SNPs). Genotypes were classified as FVB/FVB (F/F) or FVB/C57BL/6 (F/B). Ultimately, 806 SNPs are informative from the FVB and C57BL/6 mice; the average genomic distance between these SNPs was 9.9 Mb. The genotype proportion among the F1BX mice showed a normal distribution. Linkage analysis was carried out using interval mapping with the expectation-maximization (EM) algorithm and R/QTL software. The criteria for significant and suggestive linkages for single markers were chosen based on Lander and Kruglyak (see methods section of our manuscript).-- Supplemental Dataset 23: Linkage analysis of CDA pathophenotypes quantified in the myocardium. Lod scores after the combined therapy in young mice. The Illumina Mouse Medium Density Linkage Panel Assay was used to genotype 130 F1BX mice at 1449 single nucleotide polymorphisms (SNPs). Genotypes were classified as FVB/FVB (F/F) or FVB/C57BL/6 (F/B). Ultimately, 806 SNPs are informative from the FVB and C57BL/6 mice; the average genomic distance between these SNPs was 9.9 Mb. The genotype proportion among the F1BX mice showed a normal distribution. Linkage analysis was carried out using interval mapping with the expectation-maximization (EM) algorithm and R/QTL software. The criteria for significant and suggestive linkages for single markers were chosen based on Lander and Kruglyak (see methods section of our manuscript).-- Supplemental Dataset 24: Linkage analysis of CDA pathophenotypes quantified in the myocardium. Lod scores after the combined therapy in old mice. The Illumina Mouse Medium Density Linkage Panel Assay was used to genotype 130 F1BX mice at 1449 single nucleotide polymorphisms (SNPs). Genotypes were classified as FVB/FVB (F/F) or FVB/C57BL/6 (F/B). Ultimately, 806 SNPs are informative from the FVB and C57BL/6 mice; the average genomic distance between these SNPs was 9.9 Mb. The genotype proportion among the F1BX mice showed a normal distribution. Linkage analysis was carried out using interval mapping with the expectation-maximization (EM) algorithm and R/QTL software. The criteria for significant and suggestive linkages for single markers were chosen based on Lander and Kruglyak (see methods section of our manuscript).-- Supplemental Dataset 25: Human breast cancer cohort-1 genotyping. The association of genetic variants with CDA was evaluated in four patient cohorts previously published by some of us. Here, 53 anthracycline-treated breast cancer patients (Breast Cancer cohort-1) [Ruiz-Pinto et al., Breast Cancer Res Treat., 2018], the cardiac function was assessed by echocardiography to evaluate the left ventricular ejection fraction (LVEF). SNVs were detected on the Infinium™ Global Screening Array-24 v2.0 BeadChip. Data were imputed using the Michigan Imputation Server with Minimac4 [Das et al., Nature Genetics 2016]; after retrieving the data, all markers with R2 < 0.7 were removed from the analysis before proceeding further. SNVs related to candidate genes identified in the mouse cohort were evaluated.-- Supplemental Dataset 26: Genes and genetic markers that were chosen to be evaluated in the breast cancer cohort-1 for the case and control assessment and also for CDA as a continuous variable. The chosen human genetic markers belong to allelic forms of candidate genes identified in the backcross mouse cohort associated with CDA risk variation.-- Supplemental Dataset 27: Human breast cancer cohort-1 and CDA evaluation through the Left Ventricular Ejection Fraction (LVEF) determined by echocardiography. LVEF values are shown before chemotherapy (LVEF-1), at first follow-up after treatment was completed (LVEF-2), and the increment of LVEF (difference between LVEF- 1 and LVEF-2). These values were used to evaluate CDA risk as a continuous variable.-- Supplemental Dataset 28: Human breast cancer cohort-2 genotyping. The association of genetic variants with CDA was evaluated in four patient cohorts previously published by some of us. Here, 420 anthracycline-treated breast cancer patients (Breast Cancer cohort-2) [Vulsteke et al., Breast Cancer Res Treat, 2015], the cardiac function was assessed by echocardiography to evaluate the left ventricular ejection fraction (LVEF). SNVs were detected on the Infinium™ Global Screening Array-24 v2.0 BeadChip. Data were imputed using the Michigan Imputation Server with Minimac4 [Das et al., Nature Genetics, 2016]; after retrieving the data, all markers with R2 < 0.7 were removed from the analysis before proceeding further. SNVs related to candidate genes identified in the mouse cohort were evaluated.-- Supplemental Dataset 29: Genes and genetic markers that were chosen to be evaluated in the breast cancer cohort-2 for the case and control assessment and also for CDA as a continuous variable. The chosen human genetic markers belong to allelic forms of candidate genes identified in the backcross mouse cohort associated with CDA risk variation.-- Supplemental Dataset 30: Human breast cancer cohort-2 and CDA evaluation through the Left Ventricular Ejection Fraction (LVEF) determined by echocardiography. LVEF values are shown before chemotherapy (LVEF-1), at first follow-up after treatment was completed (LVEF-2), and the increment of LVEF (difference between LVEF- 1 and LVEF-2). These values were used to evaluate CDA risk as a continuous variable.-- Supplemental Dataset 31: Pediatric cancer cohort genotyping. The association of genetic variants with CDA was evaluated in four patient cohorts previously published by some of us. Here, 71 anthracycline-treated pediatric cancer patients (Pediatric cohort) [Ruiz-Pinto et al., Pharmacogenetics Genomics, 2017], the cardiac function was assessed by echocardiography to evaluate the left ventricular fractional shortening (LVFS). SNVs were detected on the Infinium™ Global Screening Array-24 v2.0 BeadChip. Data were imputed using the Michigan Imputation Server with Minimac4 [Dast et al., Nature Genetics 2016]; after retrieving the data, all markers with R2 < 0.7 were removed from the analysis before proceeding further. SNVs related to candidate genes identified in the mouse cohort were evaluated.-- Supplemental Dataset 32: Genes and genetic markers that were chosen to be evaluated in the pediatric cohort for the case and control assessment and also for CDA as a continuous variable. The chosen human genetic markers belong to allelic forms of candidate genes identified in the backcross mouse cohort associated with CDA risk variation.-- Supplemental Dataset 33: Pediatric cohort and CDA evaluation through the Left Ventricular Fractional Shortening (LVFS) determined by echocardiography. LVEF values are shown before chemotherapy (LVEF-1), at first follow-up after treatment was completed (LVEF-2), and the increment of LVEF (difference between LVEF- 1 and LVEF-2). These values were used to evaluate CDA risk as a continuous variable.-- Supplemental Dataset 34: Human cancer Cardiac Magnetic Resonance (CMR) cohort genotyping. The association of genetic variants with CDA was evaluated in four patient cohorts previously published by some of us. Cardiac Magnetic Resonance (CMR) was carried out in 24 cancer patients (CMR cohort) [Barreiro-Pérez et al., Rev Esp Cardiol, 2018]. CMR was carried out at baseline and after every two cycles of a regular course of anthracycline therapy.-- Supplemental Dataset 35: Genes and genetic markers that were chosen to be evaluated in the CMR cancer cohort for the case and control assessment and also for CDA as a continuous variable. The chosen human genetic markers belong to allelic forms of candidate genes identified in the backcross mouse cohort associated with CDA risk variation., Peer reviewed

February-March 2021. XXXIV Spanish Antarctic Campaign. Deception Island (Shetland of South, Antarctica). Dataset: Orthomosaic flight images., This campaign report collects the orthomosaics generated with the images obtained from Unmanned Aerial Vehicles (UAV) during the XXXIV Spanish Antarctic Campaign in Deception Island (South Shetlands Islands, Antarctica) as part of the PiMetAn polar project (Ref RTI2018-098048-B-100). PiMetAn Project (http://pimetan.csic.es/) aims to evaluate the role of penguins in the biogeochemical cycles of trace elements in Antarctica and their effects on the Antarctic ecosystem. To achieve this, the Project includes, among many other activities, the use of different sensors boarded on UAVs to characterize and monitoring the regions of study. Thus, a total 42 UAV flights were carried out in different areas of Deception Island: Antarctic Spanish Base (BAE) Gabriel de Castilla, Vapour Col penguin colony, Baily Head penguin colony, Fumarole Bay, Murature’s region, Crater and Irizar lakes. The equipment used to collect the images were: these flights consists of the following UAVs and sensors: (1) Hexacopter (Condor, Dronetools ©) with three-bladed propellers with DJI6010 brushless type electric motor (130 kv) The drone could be equipped with the Micasense RedEdge-MX dual 10-band multispectral sensor, the FLIR Vue Pro R thermal camera, the Zenmuse Z30 video camera and the Alpha Sony 6000 RGB camera; (2) Quadcopter (Mavic 2 Pro, DJI ©) with integrated RGB sensor (Hasselblad Camera); and (3) Quadcopter (Phantom 4 Multispectral:P4M, DJI ©) with an integrated 5-band multispectral camera. After images were collected, orthomosaics was generated using the Pix4D Mapper software (Pix4D SA, Lausanne Switzerland)., PiMetAn Project (Ref RTI2018-098048-B-100)., Peer reviewed

Each file contains significant wave height (Hs), mean wave period (Tm_01) (Tmm_10), mean wave direction (θ_m), latitude, longitude and time for a specific year. Each file in NetCDF format is around 1GB size containing the above data every 6 hours at 00h, 06h, 12h and 18h. Data cover from January, 1^st 1958 to December, 〖31〗^st 2017 on a 229 x101 mesh nodes with a resolution of 11.8 km x 11.4 km. Bottom left corner coordinates are -84.52° W; 8.1° N., AOR is supported by COLCIENCIAS (Departamento Administrativo de Ciencia, Tecnología e Innovación) through a PhD grant from “Convocatoria 727” and from a POGO fellowship at the Mediterranean Institute for Advanced Studies. Authors acknowledge financial support from the Spanish Government MICINN/FEDER through MOCCA Project (RTI2018-093941-B-C31)., Peer reviewed

Filenames: BEC_SSS___SMOS__BAL_L3__B_YYYYMMDDT120000_0.25d_9d_REP_v1.0.nc YYYYMMDD: central date of 9-day map Documents: Baltic+Salinity_D1.1_RDB_v1r7 Baltic+Salinity_D1.2_DUM_v2r0 Baltic+Salinity_D1.3_ATBD_v2r0, BEC ftp service: We serve netCDF data by means of a secure ftp server. NetCDF files from which the maps were made (and other additional data) can be downloaded from sftp address becftp.icm.csic.es at port 27500. If your browser is sftp compatible you can browse directly from sftp://becftp.icm.csic.es:27500 address. In order to download data you should be registered in our BEC ftp service. Registration is free, you can register just by filling the following form: http://bec.icm.csic.es/bec-ftp-service-registration/ If you need a dedicated ftp client (for instance FileZilla https://filezilla-project.org/) you should use the following configuration: Host: sftp://becftp.icm.csic.es username: your username password: your password Port: 27500, To develop a novel Baltic L3 SSS (Sea Surface Salinity) product from the measurements provided by the SMOS (Soil Moisture and Ocean Salinity) mission and to study the potential benefit of incorporating this SSS product into oceanographic and environmental applications within the Baltic Sea. Data acquisition: Satellite ESA SMOS mission (Soil Moisture and Ocean Salinity). Time coverage 05 February 2011 - 27 December 2019. Time resolution: 9 days. Maps frequency generation: Daily. Spatial coverage: Latitude range: 53.5ºN-68ºN Longitude range: 8ºE-30.5ºE. Spatial resolution: 0.25 degrees. Spatial grid: WGS 84 / Regular longitude-latitude. Sensor Satellite SMOS / MIRAS. Format NetCDF. Climate and Forecast (CF) conventions version: 1.6, Baltic+ Salinity Dynamics European Space Agency under contract 4000126102/18/I-BG, With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), Peer reviewed