Resultados de investigación

This dataset presents information on fish eggs and larval abundances at different layers of the water column in two surveys carried out in June and November 2005 in the NW Mediterranean Sea. The vertical distributions of fish early stages of ca. 60 taxa was investigated. The larvae of the majority of shelf species that appeared in summer showed a very superficial vertical distribution, above the thermocline, the DFM and the maximum biomass of micro- and mesoplankton, and showed no signs of diel migrations along the water column. In autumn, the vertical distributions patterns of fish larvae were slightly wider, This research was funded by project "Análisis de la estructura espacial de los primeros estadios de desarrollo de merluza, anchoa y sardina en el Mediterráneo noroccidental. Interacción con la hidrografía y la disponibilidad trófica". CTM2004-03510-C02-01/MAR, Peer reviewed

This dataset gives information on the vertical distribution and abundance of early stages of meso and bathypelagic fishes throughout the daily cycle in the Northeast Atlantic Ocean. The larvae of the majority of species were found in the upper 100 m of the water column, both day and night. Transforming stages of myctophiforms and stomiiforms tend to be located at deeper depths during the day than at night. The most abundant specimens collected with the MOCNESS plankton net were the adults and juveniles of Cyclothone species, which do not show significant differences in vertical distributions between day and night, This research was funded by project "Biomasa y flujo activo en la zona batipelagica. BATHYPELAGIC. (CTM2016-78853-R), Peer reviewed

The goal of the ARTEM-IS is to use insights derived from systematic reviews and guidelines for good checklist design to create dynamic and user-friendly web applications which support EEG researchers in creating detailed human- and machine-readable methods summaries. Currently, ARTEM-IS has launched the first of its tools, ARTEM-IS for ERP, which supports describing a simple ERP experiment, including most of its core methodological aspects (study description, experimental design, hardware, data acquisition, pre-processing, measurement, visualisation, additional comments – artemis.incf.org). ARTEM-IS tools for more complex ERP experiments as well as for other subfields of EEG may follow., Peer reviewed

This dataset includes the compositional information of n = 1778 geoarchaeological samples of green phosphate minerals sourced from three major Iberian deposits with evidence of prehistoric mining: Aliste, Terena, and the Gavà Mines. It has been used to develop a data-driven framework that integrates portable X-ray fluorescence (p-XRF) analysis and machine learning (ML), to determine the provenance of archaeological artifacts based on its elemental composition. In addition, a mineralogical analysis by X-ray diffraction (XRD) of a subset (N = 249; n_Aliste = 122, n_Terena = 47, n_Gavà = 80) was conducted to complement the geochemical characterisation of the sample. Data from n = 571 variscite beads from 15 Iberian and French archaeological sites, representing a diverse range of chrono-cultural contexts spanning from the Neolithic to the Bronze Age, used to test the model are also presented. The compositional data was obtained by using a portable XRF analyser and is presented as atomic percentages of the elements between Al and Th. Mineral compositions were determined using a Panalytical X'Pert Pro θ/θ diffractometer. This dataset has high reuse potential for future non-destructive studies of archaeological artefacts and past social network analyses., This work was financed by Portuguese funds through FCT - Fundação para a Ciência e a Tecnologia in the framework of the project UID/00698: Centre for Archaeology. University of Lisbon, PhD grant [UI/BD/154365/2023]; The Ministerio de Ciencia e Innovación of the kingdom of Spain, [PID2021–124421NB-I00]; Departament de Cultura de la Generalitat de Catalunya [CLT009/18/00044] and [CLT_2022_EXP_ARQ001SOLC_00000131]., Peer reviewed

Overview illustrating a graphical representation of gating strategy used to detect bone marrow CD34+ hematopoietic progenitor cells (HPC) and plasma cells (PCs) using fluorescence activated cell sorting (BD FACSDiva v 8.0.2). Panels show bivariate dot plots representations in which HPC were gated using conventional manual analysis strategy., Instituto de Salud Carlos III (ISCIII) Cancer Research UK (CRUK) Fundación Científica Asociación Española Contra el Cáncer (AECC) Fondazione AIRC per la ricerca sul cancro ETS (AIRC) Fondazione Regionale per la Ricerca Biomedica (FRRB) International Myeloma Foundation (IMF) HORIZON EUROPE European Research Council (ERC) European Commission (EC) Riney Family Multiple Myeloma Research Program Fund, Peer reviewed

Genetic relationship between mutant HPC and tumor cells. Concordance between the mutational landscape of hematopoietic progenitor cells (HPC) and patient-paired tumor cells (n = 42) used as filtering criteria for mutations observed in RAS genes. All mutated genes in HPC are shown, whereas in tumor cells only the genes that were mutated and were mapped in the myeloid gene panel are shown. Samples were collected at different moments of treatment: in untreated patients (i.e., at diagnosis), after induction, intensification, or end of treatment (EoT). Cytogenetic alterations were determined by FISH during diagnostic procedures. HPC and tumor cell illustrations were created with BioRender.com., Instituto de Salud Carlos III Cancer Research UK Fundación Científica Asociación Española Contra el Cáncer Fondazione Italiana per la Ricerca sul Cancro Fondazione Regionale per la Ricerca Biomedica International Myeloma Foundation European Research Council European Commission Multiple Myeloma Research Foundation, Peer reviewed

Overall survival (OS) according to the top four frequently mutated genes at diagnosis: (A) DNMT3A, (B) TET2, (C) ASXL1, and (D) STAG2 in untreated patients enrolled in the GEM2012MENOS65 and GEM- CLARIDEX trials with BM HPC samples., Instituto de Salud Carlos III Cancer Research UK Fundación Científica Asociación Española Contra el Cáncer Fondazione Italiana per la Ricerca sul Cancro Fondazione Regionale per la Ricerca Biomedica International Myeloma Foundation European Research Council European Commission Multiple Myeloma Research Foundation, Peer reviewed

Under the current global biodiversity crisis, there is a need for automated and noninvasive monitoring techniques that can gather large amounts of data cost-effectively at various ecological scales, from local to large spatial scales. These data can then be analyzed to inform stakeholders and decision-makers. One such technique is passive acoustic monitoring, which is commonly coupled with automatic identification of animal species based on their sound. Automated sound analyses usually require the training of sound detection and identification algorithms. These algorithms are based on annotated acoustic datasets which mark the occurrence of sounds of species inside sound recordings. However, compiling large annotated acoustic datasets is time-consuming and requires experts, and therefore, they normally cover reduced spatial, temporal, and taxonomic scales. This data paper presents WABAD, the World Annotated Bird Acoustic Dataset for passive acoustic monitoring. WABAD is designed to provide the public, the research community, and conservation managers with a novel and globally representative annotated acoustic dataset. This database includes 5047 min of audio files annotated to species-level by local experts with the start and end time and the upper and lower frequencies of each identified bird vocalization in the recordings. The database has a wide taxonomic and spatial coverage, including information on 91,931 vocalizations from 1192 bird species recorded at 72 recording sites in 29 recording locations (mainly countries) and distributed across 13 biomes. WABAD can be used, for example, for developing and/or validating automatic species detection algorithms, answering ecological questions, such as assessing geographical variations on bird vocalizations, or comparing acoustic diversity indices with species-based diversity indices., Peer reviewed

Key disease characteristics between patients with available (n = 308) and unavailable (n = 583) samples included and not included in this study from the GEM2012MENOS65, GEM-CESAR, and GEM-CLARIDEX trials. P-value is calculated using corrected χ2 for dichotomous variables, and Kruskal-Wallis for numerical variables., Instituto de Salud Carlos III Cancer Research UK Fundación Científica Asociación Española Contra el Cáncer Fondazione Italiana per la Ricerca sul Cancro Fondazione Regionale per la Ricerca Biomedica International Myeloma Foundation European Research Council European Commission Multiple Myeloma Research Foundation, Peer reviewed

List of genes included in the pan-myeloid targeted sequencing panel (SOPHiA GENETICS, Saint Sulpice, Switzerland)., Instituto de Salud Carlos III Cancer Research UK Fundación Científica Asociación Española Contra el Cáncer Fondazione Italiana per la Ricerca sul Cancro Fondazione Regionale per la Ricerca Biomedica International Myeloma Foundation European Research Council European Commission Multiple Myeloma Research Foundation, Peer reviewed