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Publications associées (22)

Continuous corrected particle number concentration data in 10 sec resolution measured in the Swiss aerosol container using a whole air inlet during MOSAiC 2019/2020

Julia Schmale, Ivo Fabio Beck

This dataset contains corrected particle number concentration data measured during the year-long MOSAiC expedition from October 2019 to September 2020. Some periods of the measurements were affected by repeated step changes in the particle number concentra ...

Zenodo2023

Data Transformation in the Processing of Neuronal Signals: A Powerful Tool to Illuminate Informative Contents

Mohammad Ali Shaeri

Neuroscientists seek efficient solutions for deciphering the sophisticated unknowns of the brain. Effective development of complicated brain-related tools is the focal point of research in neuroscience and neurotechnology. Thanks to today's technological a ...

2023

Pollution mask for the continuous corrected particle number concentration data in 1 min time resolution measured in the Swiss aerosol container using a whole air inlet during MOSAiC 2019/2020

Julia Schmale, Andrea Baccarini, Ivo Fabio Beck, Hélène Paule Angot

This dataset contains particle number concentrations and a pollution flag in 1 min time resolution. It is derived by the pollution detection algorithm (PDA, doi:10.5281/zenodo.5761101) based on the corrected particle number concentration data of the CPC377 ...

Zenodo2023

Pollution mask for the continuous corrected particle number concentration data in 1 min resolution, measured in the Swiss aerosol container during MOSAiC 2019/2020

Julia Schmale, Andrea Baccarini, Ivo Fabio Beck, Hélène Paule Angot

This dataset contains a pollution flag in 1 min time resolution. It is derived by the pollution detection algorithm (PDA) based on the corrected particle number concentration data (DOI upcoming) measured during the year long MOSAiC expedition from October ...

Zenodo2022

Graph integration of structured, semistructured and unstructured data for data journalism

Angelos Christos Anadiotis

Digital data is a gold mine for modern journalism. However, datasets which interest journalists are extremely heterogeneous, ranging from highly structured (relational databases), semi-structured (JSON, XML, HTML), graphs (e.g., RDF), and text. Journalists ...

PERGAMON-ELSEVIER SCIENCE LTD2022

Storage Management in Smart Data Lake

Anastasia Ailamaki, Ioannis Mytilinis, Bikash Chandra, Haoqiong Bian

Data lakes are complex ecosystems where heterogeneity prevails. Raw data of diverse formats are stored and processed, while long and expensive ETL processes are avoided. Apart from data heterogeneity, data lakes also entail hardware heterogeneity. Typical ...

2021

AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenance

Nicola Marzari, Giovanni Pizzi, Christoph Leopold Talirz, Nicolas Frank Mounet, Andrea Cepellotti, Leonid Kahle, Fernando Gargiulo, Martin Uhrin, Sebastiaan Philippe Huber, Aliaksandr Yakutovich, Snehal Pramod Kumbhar, Carl Simon Adorf, Francisco Fernando Ramirez, Casper Welzel Andersen, Conrad Johnston, Spyros Zoupanos, Elsa Passaro

The ever-growing availability of computing power and the sustained development of advanced computational methods have contributed much to recent scientific progress. These developments present new challenges driven by the sheer amount of calculations and d ...

2020

A semantic-driven approach for Industry 4.0

Dimitrios Kyritsis, Gökan May, Sangje Cho

Toward industry 4.0, modern manufacturing companies are aiming at building digital twins to manage physical assets, processes, people, and places. Since in this environment, massive amounts of data have been generated and collected, integration and managem ...

IEEE2019

An extended regulatory landscape drives Tbx18 activity in a variety of prostate-associated cell lineages

Christopher Chase Bolt

The evolutionarily conserved transcription factor, Tbx18, is expressed in a dynamic pattern throughout embryonic and early postnatal life and plays crucial roles in the development of multiple organ systems. Previous studies have indicated that this dynami ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2019

Provenance, workflows, and crystallographic tools in materials science: AiiDA, spglib, and seekpath

Giovanni Pizzi

The near-exponential expansion in computing resources over the last few decades has enabled a rapid increase in the capabilities of computational science, including applications to materials research. In order to harness the available resources and acceler ...

CAMBRIDGE UNIV PRESS2018

A Hybrid Machine Learning Approach for Predictive Maintenance in Smart Factories of the Future

Dimitrios Kyritsis, Gökan May, Sangje Cho, Ioannis Tourkogiorgis

Advanced technologies based on Internet of Things (IOT) are blazing a trail to effective and efficient management of an overall plant. In this context, manufacturing companies require an innovative strategy to survive in a competitive business environment, ...

SPRINGER-VERLAG BERLIN2018

Digital Pharmacovigilance and Disease Surveillance: Combining Traditional and Big-Data Systems for Better Public Health

Marcel Salathé

The digital revolution has contributed to very large data sets (ie, big data) relevant for public health. The two major data sources are electronic health records from traditional health systems and patient-generated data. As the two data sources have comp ...

Oxford University Press (OUP)2016

From Data Quality to Big Data Quality

Gianluigi Viscusi

This article investigates the evolution of data quality issues from traditional structured data managed in relational databases to Big Data. In particular, the paper examines the nature of the relationship between Data Quality and several research coordina ...

2015

Height-resolved quantification of microstructure and texture in polycrystalline thin films using TEM orientation mapping

Cécile Hébert, Duncan Thomas Lindsay Alexander, Arthur Brian Aebersold

A method is presented for the quantitative investigation of microstructure and texture evolution in polycrystalline thin films based on in-plane automated crystal orientation mapping in transmission electron microscopy, from the substrate up. To demonstrat ...

Elsevier Science Bv2015

Automated analysis of product related data generated from PLM ontology

Ana Milicic

In recent years, ontology for the Product Lifecycle Management domain has raised a lot of interest in research communities, both academic and industrial. It has emerged as a convenient method for supporting the concept of closed lifecycle information loop, ...

EPFL2015

A pre-estimation filtering process of bad data for linear power systems state estimators using PMUs

Mario Paolone, Jean-Yves Le Boudec, Sidi-Rachid Cherkaoui, Marco Pignati, Lorenzo Zanni, Styliani Sarri

The paper proposes a specific algorithm for the pre-estimation filtering of bad data (BD) in PMU-based power systems linear State Estimators (SEs). The approach is framed in the context of the so-called real-time SEs that take advantage of the high measure ...

Wroclaw University of Technology2014

Solid-State Storage and Work Sharing for Efficient Scaleup Data Analytics

Manoussos Gavriil Athanassoulis

Today, managing, storing and analyzing data continuously in order to gain additional insight is becoming commonplace. Data analytics engines have been traditionally optimized for read-only queries assuming that the main data reside on mechanical disks. The ...

EPFL2014

Adaptive Query Processing on RAW Data

Anastasia Ailamaki, Ioannis Alagiannis, Manolis Karpathiotakis, Miguel Sérgio De Oliveira Branco

Database systems deliver impressive performance for large classes of workloads as the result of decades of research into optimizing database engines. High performance, however, is achieved at the cost of versatility. In particular, database systems only op ...

2014

Evaluating Efficient Data Collection Algorithms for Environmental Sensor Networks

Alcherio Martinoli, Alexander Bahr, William Christopher Evans

Although there exists a large body of work on efficient data collection in sensor networks, the vast majority of proposed techniques have not been implemented on real networks or thoroughly studied on real data. As algorithm performance is highly dependent ...

Springer-Verlag Berlin2013

Same Queries, Different Data: Can we Predict Query Performance?

Anastasia Ailamaki, Miguel Sérgio De Oliveira Branco, Adrian Daniel Popescu

We consider MapReduce workloads that are produced by analytics applications. In contrast to ad hoc query workloads, analytics applications are comprised of fixed data flows that are run over newly arriving data sets or on different portions of an existing ...

2012