Applications to support the efficient capture of data from natural science collections specimens (particularly entomological collections), by facilitating pre-capture of data reflecting the storage structure of the collection, imaging of the specimens to separate data capture from specimen handling, and community sourcing transcription of hand written label data. Designed and written by a team at the Museum of Comparative Zoology. Includes a PreCapture barcode application refactored from this code base with support from the US National Science Foundation ADBC TCN for New England Vascular Plants NSF #1208835

Precapture Application: http://doi.org/10.5281/zenodo.154176

Migrated to GitHub
PreCaptureApp:
https://github.com/MCZbase/PreCapture

Desktop App
https://github.com/MCZbase/DataShot_DesktopApp

Web App components:
https://github.com/MCZbase/datashot_ejb
https://github.com/MCZbase/datashot_web
https://github.com/MCZbase/datashot_ee

Project Samples

Entering container label data in the PreCapture application. Specimen data transcription screen in the thick Java client Image template editor in the thick Java client. An example container label produced by the PreCapture app. Selecting a label as a region of interest in the web app.

Project Activity

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Categories

Scientific/Engineering

License

GNU General Public License version 2.0 (GPLv2)

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Additional Project Details

Languages

English

Intended Audience

Science/Research

User Interface

Java Swing, Web-based

Programming Language

Java

Database Environment

MySQL, Oracle, Other API

Related Categories

Java Scientific Engineering

Registered

2011-10-29
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