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Data Science 4 Ecologists in R
Data Science 4 Ecologists in R
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The "Data Science for Ecologists in R" self-study series gives an introduction to tidy data and to linear models in R.
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URL: https://www.youtube.com/playlist?list=PLE9wx7mxT8gsjR8IKEa43lk7VtXiYgPDyCommunities:Disciplines:Target Groups:
  • Bachelor Student
  • Master's Student
  • Phd Student
  • Researcher
  • Student (school)
  • Teacher (higher Education)
  • Teacher (school)
Proficiency Levels:
  • Novice
  • Advanced Beginner

Bulk formatting of questions in LiaScript format
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Bulk formatting of questions in LiaScript formatThis is a short R script to automatically format questions in LiaScript format, based on text in a table. The structure of questions in the table is the same that R package GIFTr is using to format questions in GIFT format. The example questions are from the HeFDI Selbstlerneinheit Forschungsdatenmanagement - eine Online-Einführung (HeFDI Data Learning Materials). These questions are also used in the NFDI4Biodiversity Self-Study Unit—Research Data Management for Biodiversity.
Learning Resource Type
Software Source Code
File Format
Unknown
Languages
English
Media Type
Multipart
Publication Date
2024-05-21
License
CCBY
Size
40 KB
Authors
Keywords
#R#research data#data processing
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Data Science for Ecologists in R - TidyData
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Data Science for Ecologists in R - TidyDataThis folder contains the R scripts and datafiles used for the first Section of the Data Science 4 Ecologists in R series: TidyData each Script is associated with a video in this series: https://www.youtube.com/playlist?list=PLE9wx7mxT8gsjR8IKEa43lk7VtXiYgPDy
Learning Resource Type
Tutorial
File Format
Unknown
Languages
English
Media Type
Code
Publication Date
2022-01-27
License
Proprietary
Authors
Keywords
#R#data processing#biodiversity#data analysis
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Data Science for Ecologists in R: Linear Models – Self-Learning Video Series [GFBio]
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Data Science for Ecologists in R: Linear Models – Self-Learning Video Series [GFBio]The video self-study series teaches researchers from the fields of biology and ecology how to work with the free R programming language.
Learning Resource Type
Tutorial
File Format
Unknown
Languages
English
Media Type
Video
Publication Date
2022-06-27
License
CCBY
Authors
No Authors
Keywords
#R#data processing#biodiversity#data analysis
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NFDI4Biodiversity Self-Study Unit - Research Data Management for Biodiversity Data
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NFDI4Biodiversity Self-Study Unit - Research Data Management for Biodiversity DataThe NFDI4Biodiversity Self-Study Unit (SSU) provides in-depth knowledge for both students and researchers specializing in biodiversity and environmental sciences. This learning is based on the online learning unit "Forschungsdatenmanagement - eine Online-Einführung (HeFDI Data Learning Materials)" of the Hessian Research Data Infrastructures. Developed in collaboration between several partners within NFDI4Biodiversity, the SSU offers essential domain-specific knowledge in research data management.
Learning Resource Type
Assessment, Course
File Format
Unknown
Languages
English
Media Type
Text, Video
Publication Date
2023-12-23
License
CCBYSA
Authors
Keywords
#Research Data Management#Biodiversity#Data Life Cycle#Ecologist
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Forschungsdatenmanagement für Agrarwissenschaftler und Biologen
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Forschungsdatenmanagement für Agrarwissenschaftler und BiologenPresentation slides for a Workshop about research data management for students and researchers of agricultural sciences and biology. Workshop held at Humboldt-Universität zu Berlin, 12 May 2016.
Learning Resource Type
Lecture
File Format
PPTX, ODP, PDF
Languages
German
Media Type
Presentation
Publication Date
2016-05-27
License
CCBY
Authors
Keywords
#Research Data Management#Data Journals#Data Paper#Metadata#Pangaea#Repositories#Research Data#re3data
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Data Science for Ecologists in R: Tidy Data – Self-Learning Video Series [GFBio]
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Data Science for Ecologists in R: Tidy Data – Self-Learning Video Series [GFBio]The "Data Science for Ecologists in R" self-study series gives an introduction on what tidy data is and why it is a great way of mapping the meaning of a dataset to its structure.
Learning Resource Type
Tutorial
File Format
Unknown
Languages
English
Media Type
Video
Publication Date
2021-09-10
License
CCBY
Authors
Keywords
#R#data processing#biodiversity
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