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The mass analyzer is a crucial component of the mass spectrometer. In the ionization chamber, the vaporized sample is bombarded with a high-energy electron beam to generate a radical cation and further fragment into neutral molecules, radicals, and cations. A series of negatively charged accelerator plates accelerate the cations into the mass analyzer. The mass analyzer separates ions according to their mass-to-charge (m/z) ratios and then directs them to the detector. The common types of mass...
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Related Experiment Video

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A Novel Single Animal Motor Function Tracking System Using Simple, Readily Available Software
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MoveApps: a serverless no-code analysis platform for animal tracking data.

Andrea Kölzsch1,2, Sarah C Davidson3,4,5,6, Dominik Gauggel7

  • 1Department of Migration, Max Planck Institute of Animal Behavior, Am Obstberg 1, 78315, Radolfzell, Germany. akoelzsch@ab.mpg.de.

Movement Ecology
|July 17, 2022
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Summary
This summary is machine-generated.

MoveApps is an open platform making animal tracking data analysis accessible. It empowers researchers to share and use analytical tools, accelerating ecological knowledge generation from bio-logging data.

Keywords:
Analysis code publicationAnimal movementBio-loggingCloud infrastructureCommunity empowermentMethod sharingMovement ecologyReproducibilityServerless computing

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Area of Science:

  • Ecology
  • Bio-logging
  • Animal Tracking

Background:

  • Bio-logging and animal tracking data are rapidly increasing in volume and complexity.
  • Extracting knowledge from these datasets is challenging due to inaccessible analysis methods.
  • Many methods are unpublished, proprietary, or require significant coding skills.

Purpose of the Study:

  • To develop an open analysis platform for animal tracking data.
  • To make sophisticated analytical tools accessible to movement ecologists and wildlife managers globally.
  • To facilitate the design, sharing, and execution of data analysis workflows.

Main Methods:

  • Developed MoveApps, an open analysis platform integrated with Movebank.
  • Users design and share workflows using analysis modules (Apps) via a web interface.
  • Apps are coded in R or other languages, with public source code, run in Docker containers for reproducibility.

Main Results:

  • MoveApps provides an intuitive interface for users to build, customize, and execute analysis workflows.
  • The platform currently hosts 49 Apps, with 316 registered users since its beta launch in spring 2021.
  • Workflows can be shared, published, and archived with DOIs, ensuring reproducible science.

Conclusions:

  • MoveApps empowers the scientific community to share and utilize analysis code effectively.
  • The platform aims to accelerate knowledge generation by connecting analysis method developers with data collectors.
  • It facilitates faster, traceable results and feedback for informed decision-making in ecology.