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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260808T152356Z
UID:75c2df9a-908b-467c-93b7-496b90bc9fcc
DTSTART:20240502T070000Z
DTEND:20240503T150000Z
DESCRIPTION:Educators:\nDr. Flavia Höring (PANGAEA\, University of Bremen\
 , MARUM)\,\nDr. Kathrin Riemann-Campe (PANGAEA\, AWI)\,\nDr. Lars Möller 
 (PANGAEA\, University of Bremen\, MARUM)\nUwe Schindler (PANGAEA\, Univers
 ity of Bremen\, MARUM) and\ncolleagues\n\nDate:\n02.05.2024 10:30 – 12:3
 0\n03.05.2024 10:30 – 12:30\n\nLocation:\nOnline\n\nContents:\nThis two-
 day\, four-hour workshop focuses on finding and using datasets already pub
 lished on PANGAEA\, and gives an in-depth introduction to various methods 
 of systematically finding desired datasets for one’s particular task and
  making them available for further use and analysis. In a combination of t
 heoretical units and practical exercises\, the topics covered are given su
 fficient room to allow participants to gain a lasting understanding of how
  to make good use of PANGAEA data\, and integrate them in typical data ana
 lysis workflows in virtual research environments like Jupyter notebooks (w
 ith particular focus on Python).\n\nLearning goals:\nBy the end of the wor
 kshop\, participants will be able to use targeted and advanced search meth
 ods to sifting through the large spectrum of earth\, biodiversity and envi
 ronmental data published at PANGAEA\, and to integrate these search result
 s into typical analytical and data science workflows mainly using the Pyth
 on scripting language. They will further be introduced to a powerful (and 
 unique) feature\, the Data Warehouse\, which allows to conveniently perfor
 m meta-studies of PANGAEA's manually curated and extensively harmonized da
 ta content on a parameter/variable level by methods\, geo-location or time
  slice.\n\nPrerequisites:\nnon\n\nKeywords:\nPANGAEA\, Workflows\n\nTools:
 \nPANGAEA\, Python\, Jupyter Notebook
SUMMARY:PANGAEA Community Workshop May 2024: "Finding and retrieving data f
 rom PANGAEA"
URL;VALUE=URI:https://www.denbi.de/training-courses-2024/1704-pangaea-commu
 nity-workshop-may-2024-finding-and-retrieving-data-from-pangaea
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