Database of multiparametric geophysical data from the TOMO-DEC experiment on Deception Island, Antarctica

We are grateful to the officers and crew of the Spanish vessels 'R/V Hesperides' and 'R/V Las Palmas', the personnel of the Marine Technology Unit (UTM), the military personnel of the 'Gabriel de Castilla' Spanish base, and the members of the TOMODEC Working Group. This manuscript has been partially funded by the following research projects: the Spanish project TEC2015-68752-R (MINECO/FEDER); KNOWAVES; the Spanish Education and Research Ministry grants REN 2001-3833, CGL2005-05789-C02-02/ANT, POL2006-08663, and CGL2008-01660; the U.S. National Science Foundation grant ANT-0230094; the European project MED-SUV funded by the European Union's Seventh Framework Program for research, technological development and demonstration under grant agreement No 308665; the European project EPOS; the European Union's Horizon 2020 research and innovation programme under grant agreement No 676564; and the U.S. National Science Foundation grant NSF-1521855 Hazard SEES project. Ocean bottom seismometers were provided by the U.S National Oceanographic Instrument Pool. This publication reflects only the authors' views. The European Commission is not responsible for any use that may be made of the information it contains.Deception Island volcano (Antarctica) is one of the most closely monitored and studied volcanoes on the region. In January 2005, a multi-parametric international experiment was conducted that encompassed both Deception Island and its surrounding waters. We performed this experiment from aboard the Spanish oceanographic vessel 'Hesperides', and from five land-based locations on Deception Island (the Spanish scientific Antarctic base 'Gabriel de Castilla' and four temporary camps). This experiment allowed us to record active seismic signals using a large network of seismic stations that were deployed both on land and on the seafloor. In addition, other geophysical data were acquired, including bathymetric high precision multi-beam data, and gravimetric and magnetic profiles. To date, the seismic and bathymetric data have been analysed but the magnetic and gravimetric data have not. We provide P-wave arrival-time picks and seismic tomography results in velocity and attenuation. In this manuscript, we describe the main characteristics of the experiment, the instruments, the data, and the repositories from which data and information can be obtained.MINECO/FEDER TEC2015-68752-RKNOWAVESSpanish Education and Research Ministry REN 2001-3833 CGL2005-05789-C02-02/ANT POL2006-08663 CGL2008-01660National Science Foundation (NSF) ANT-0230094 NSF-1521855European project MED-SUV - European Union's Seventh Framework Program 308665European project EPOSEuropean Union (EU) 67656

Surfing transcriptomic landscapes. A step beyond the annotation of chromosome 16 proteome.

The Spanish team of the Human Proteome Project (SpHPP) marked the annotation of Chr16 and data analysis as one of its priorities. Precise annotation of Chromosome 16 proteins according to C-HPP criteria is presented. Moreover, Human Body Map 2.0 RNA-Seq and Encyclopedia of DNA Elements (ENCODE) data sets were used to obtain further information relative to cell/tissue specific chromosome 16 coding gene expression patterns and to infer the presence of missing proteins. Twenty-four shotgun 2D-LC-MS/MS and gel/LC-MS/MS MIAPE compliant experiments, representing 41% coverage of chromosome 16 proteins, were performed. Furthermore, mapping of large-scale multicenter mass spectrometry data sets from CCD18, MCF7, Jurkat, and Ramos cell lines into RNA-Seq data allowed further insights relative to correlation of chromosome 16 transcripts and proteins. Detection and quantification of chromosome 16 proteins in biological matrices by SRM procedures are also primary goals of the SpHPP. Two strategies were undertaken: one focused on known proteins, taking advantage of MS data already available, and the second, aimed at the detection of the missing proteins, is based on the expression of recombinant proteins to gather MS information and optimize SRM methods that will be used in real biological samples. SRM methods for 49 known proteins and for recombinant forms of 24 missing proteins are reported in this study

Corporate governance and intellectual capital reporting in a period of financial crisis: evidence from Portugal

This paper uses an analytical frame comprised of agency theory and a resource based perspective to explore the influence of boards of directors on listed companies’ voluntary disclosure of information concerning intellectual capital [IC]. The IC disclosures in 75 published company reports of 15 listed Portuguese companies in a five year period of financial crisis, 2007 to 2011, are investigated using content analysis and regression techniques. IC disclosures are found to increase with company size, dual corporate governance models, industry, listing on sustainability indexes, and increases in board size up to a maximum point (beyond which disclosures decrease). IC disclosures are reduced by CEO duality and by a higher proportion of independent directors on boards. The year of reporting is not significant, suggesting that the period of financial crisis did not influence the level of IC disclosures. The evidence adduced is consistent with a view that highly visible companies acknowledge the importance of IC disclosures in maintaining their reputation and competitive advantage, even during a period of financial crisis. This paper highlights the need for caution in believing that adding extra directors to an existing board will lead to improved disclosure outcomes. Additionally, given the token number of females appointed to boards currently, the Portuguese capital market regulator should consider enforcing measures to ensure compliance with EU objectives.info:eu-repo/semantics/publishedVersio