Melting temperature obtained for the species from the Versicolores group (XLSX 11Â kb

Bychkov, Igor

Dubenskaya, Julia

Fedorov, Oleg

Haungs, Andreas

Heiss, Andreas

Kang, Donghwa

Kazarina, Yulia

Korosteleva, Elena

Kostunin, Dmitriy

Kryukov, Alexander

Mikhailov, Andrey

Nguyen, Minh-Duc

Polgart, Frank

Polyakov, Stanislav

Postnikov, Evgeny

Shigarov, Alexey

Shipilov, Dmitry

Streit, Achim

Tokareva, Victoria

Wochele, Doris

Wochele, Jürgen

Zhurov, Dmitry

Data

arXiv

Modern large-scale astroparticle setups measure high-energy particles, gamma rays, neutrinos, radio waves, and the recently discovered gravitational waves. Ongoing and future experiments are located worldwide. The data acquired have different formats, storage concepts, and publication policies. Such differences are a crucial point in the era of Big Data and of multi-messenger analysis in astroparticle physics. We propose an open science web platform called ASTROPARTICLE.ONLINE which enables us to publish, store, search, select, and analyze astroparticle data. In the first stage of the project, the following components of a full data life cycle concept are under development: describing, storing, and reusing astroparticle data; software to perform multi-messenger analysis using deep learning; and outreach for students, post-graduate students, and others who are interested in astroparticle physics. Here we describe the concepts of the web platform and the first obtained results, including the meta data structure for astroparticle data, data analysis by using convolution neural networks, description of the binary data, and the outreach platform for those interested in astroparticle physics. The KASCADE-Grande and TAIGA cosmic-ray experiments were chosen as pilot examples

Demichev, Andrey

DESY Publication Database

Russian–German Astroparticle Data Life Cycle Initiative

KITopen

English

German-Russian Astroparticle Data Life CycleInitiative

Igor Bychkov

Andrey Demichev

Julia Dubenskaya

Oleg Fedorov

Andreas Haungs

Andreas Heiss

Donghwa Kang

Yulia Kazarina

Elena Korosteleva

Dmitriy Kostunin

Alexander Kryukov

Andrey Mikhailov

Minh-Duc Nguyen

Stanislav Polyakov

Evgeny Postnikov

Alexey Shigarov

Dmitry Shipilov

Achim Streit

Victoria Tokareva

Doris Wochele

Jürgen Wochele

Dmitry Zhurov

Directory of Open Access Journals

Xavier Libert (3826465)

Ann Packeu (3826471)

Fabrice Bureau (33379)

Nancy Roosens (250258)

Sigrid De Keersmaecker (3216)

FigShare

Additional file 5: of Discrimination of three genetically close Aspergillus species by using high resolution melting analysis applied to indoor air as case study

DESY

A data life cycle (DLC) is a high-level data processing pipeline that involves data acquisition, event reconstruction, data analysis, publication, archiving, and sharing. For astroparticle physics a DLC is particularly important due to the geographical and content diversity of the research field. A dedicated and experiment spanning analysis and data centre would ensure that multi-messenger analyses can be carried out using state-of-the-art methods. The German-Russian Astroparticle Data Life Cycle Initiative (GRADLCI) is a joint project of the KASCADE-Grande and TAIGA collaborations, aimed at developing a concept and creating a DLC prototype that takes into account the data processing features specific for the research field. An open science system based on the KASCADE Cosmic Ray Data Centre (KCDC), which is a web-based platform to provide the astroparticle physics data for the general public, must also include effective methods for distributed data storage algorithms and techniques to allow the community to perform simulations and analyses with sophisticated machine learning methods. The aim is to achieve more efficient analyses of the data collected in different, globally dispersed observatories, as well as a modern education to Big Data Scientist in the synergy between basic research and the information society. The contribution covers the status and future plans of the initiative

German-Russian Astroparticle Data Life Cycle Initiative

http://bib-pubdb1.desy.de/search?p=id:%22PUBDB-2018-05521%22

Additional file 5: of Discrimination of three genetically close Aspergillus species by using high resolution melting analysis applied to indoor air as case study

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