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      • Degree Programmes
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      Locations and ContactFHNW LibraryMedia Relations
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      FHNW School of Computer Science
      Institute for Data Science
      Data products

      Data products

      In our research projects at the FHNW Institute of Data Science, we are generating a variety of data products.

      Some of them are freely available. This concerns data archives, data sets for machine learning and tools that support the access to data as well as their investigation and analysis: user interfaces, image processing and machine learning algorithms or data visualization software.

      Open data products are created in the context of publicly funded research in solar physics, for example. Projects in the fields of speech recognition or word processing also generate scientific data products that are freely available to all and can be used for further investigations.

      The only exception concerns products that are subject to data protection regulations or non-disclosure agreements with customers.

      Freely available data products

      Dataset: Swiss German speech recognition 

      The Swiss Parliaments Corpus (SPC) is an automatically aligned Swiss German speech to Standard German text corpus. More specifically, it is a collection of sentence-level audio-text pairs. The current version of the corpus is based on publicly available data of the Bernese cantonal parliament and consists of 293 hours of data.

      > To the data set 

      Data set: Drug side effects

      A collection of 1139 medical reports from the US Food and Drug Administration (FDA) Adverse Events Reporting System (FAERS)

      > To the text collection  

      Data set: Wikipedia article

      A collection of 240000 summaries of Wikipedia texts in German

      > To the text collection 

      > To the corresponding publication 

      Data set: SDO Benchmark

      Image files of the Solar Dynamics Observatory SDO space telescope to develop prediction systems for solar flares using machine learning

      > To the project and the data set on github 

      > To the project and the data set on Kaggle 

      Data center: X-ray telescope STIX

      All data and tools related to the operation of the X-ray telescope STIX and the scientific processing of its observations

      > To the STIX data center  

      > To the STIX project page 

      Python library: IRISreader

      Functionality to read IRIS level 2 data by the IRIS satellite and to process it for big data applications. The IRISreader works best with a Jupyter notebook.

      > To the library

      > To the project page @I4DS 

      Data Archive: e-Callisto

      Observations of the Sun in radio frequencies

      Data: dynamic solar spectra

      Frequency range: 20 - 5000 MHz

      Instruments: radio spectrometer e-Callisto, Phoenix-3, Phoenix-4

      Time range: 2002 - today

      > To the data and quick looks @I4DS  

      > To the data on ESA's space weather portal  

      > To the project page @I4DS   

      > To the international project page  

      Data Archive: RHESSI

      Observations of solar flares in the X-ray range

      Data: raw data, observing summary

      Energy range: X-ray (~3 keV) to gamma rays (up to ~20 MeV)

      Instrument: X-ray space telescope RHESSI

      Time range: 2002 - 2018

      > To the RHESSI data archive 

      > To the RHESSI browser   

      > To the project page @I4DS   

      > To the international project page   

      Visualization app: J Helioviewer

      3D visualization tool for exploring solar data

      Data: solar images of the main solar observatories from three different servers

      Data format: JPEG (compression standard 2000)

      Functions: timeline with image time series, events from the Heliophysics Events Knowledgebase and more

      > To the visualization app  

      Visualization app: Heliotime

      Interactive timeline for exploring solar activity in time

      Data: GOES X-ray flow, SDO AIA 171, SOHO EIT 171

      Time range: 1981 - today (almost in real time)

      Special feature: The preview images are linked to the NASA visualization application helioviewer.org  which allows to examine interesting solar events in detail

      Web application: no software installation required

      > To the visualization app  

      Forecast app: FLARECAST

      An app for predicting the probability that a solar flare will occur in a given time

      Data: magnetograms (HMI) of the Solar Dynamics Observatory SDO

      Web application: no software installation required

      > To the forecast app

      > To the forecast app @ESA's Space Weather Portal   

      > To the project page @I4DS  

      > To the international project site  

      Contact

      • Prof. Dr. André Csillaghy

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      FHNW School of Computer Science
      Institute for Data Science

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