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Dataset related to article: Heavy-oxide glasses with superior mechanical assets for nonlinear fiber applications in the mid-infrared. Cl��ment Strutynski, Florian Calzavara, Th��o Guerineau, Laura Loi, Romain Laberdesque, Jean-Michel Rampnoux, Steeve Morency, Yannick Ledemi, Yannick Petit, Marc Dussauze, Fr��d��ric D��s��v��davy, Fr��d��ric Smektala, Sylvain Danto, Lionel Canioni, Younes Messaddeq, Evelyne Fargin, Thierry Cardinal. Optical Materials Express. 2021, volume 11, issue 5, pp. 1420-1430 https://doi.org/10.1364/ome.417699 The data were measured internally with instrumentations belonging to the tem in Bordeaux. UV-Visible-NIR transmission spectra of the glass were recorded in the 0.2 ��m - 3.3 ��m range using an Agilent Cary 5000 UV-Vis-NIR spectrometer. Transmission in the Mid-IR was collected using a Bruker FTIR Optical losses measurements of single-index fibers were carried out using the cutback method on several meters-long samples. The Raman gain cross-section was calculated from spontaneous scattering spectra measured in in VV (vertical polarization for the excitation and the analysis) configuration using a micro-Raman setup. A spectroscopic phase modulated ellipsometric measurement had thus been performed with an UVISEL apparatus (HORIBA Jobin-Yvon) to determine the refractive index n of the GGBLaY glass, after a fine calibration of the ellipsometre with the reference Silica glass over the spectral range between 0.260 ��m to 2 ��m thanks to the comparison to literature.

In this paper we present a complete framework for modelling and estimating vessel GHG emissions and related air pollutants (i.e. CO2 and SOx, NOx and PM) in ports, based on data collected from the Automatic Identification System (AIS). Our approach adopts a modified lambda architecture approach, which consists of a knowledge extraction batch processing step and a real time emissions calculation step. The approach makes it possible to automatically identify the berths or ports where emissions are high in a consistent and uniform way across the globe. This research is part of the Project OPS Master Plan for Spanish Ports (2015-EU-TM-0417) which is co-financed by the Connecting Europe Facility (CEF) for the building of the European Union's Trans-European Transport Network (TEN-T). http://poweratberth.eu/

Next Generation Sequencing data of leukodystrophy gene panel analysis and segregation study data Sudy supported by Italian Ministry of Health. Grant Numbers: GR2016_02363337, RF2016_02361285