Skip to main content

Tool to import and export analytical data into Obsidian ELN

Project description

Obsidian ELN Import

Obsidian ELN Import is program written in Python to import metadata from analytical data files and stores them in the yaml frontmatter of a markdown file.

The program is designed to work with Obsidian ELN which is an Electronic Lab Notebook (ELN) that is based on the Obsidian markdown editor.

Obsidian ELN and Obsidian ELN Import were developed to support researchers in the field of materials science and chemistry to collect and organize their research data. The aim is to automate the process of importing metadata from analytical data files as much as possible and to generate automated reports for supported data types. This will allow researchers to focus more on their research while benefiting from the advantages of a well structured, indexable, and electronically searchable ELN.

In future versions it is also planned to provide support to export the data to public repositories to make the data available to other researchers and data scientists.

Features

  • Import metadata from analytical data files and store them in the yaml frontmatter of a markdown file
  • Generate automated reports for supported data types
  • Currently supported data types:
    • SmartSEM TIF files (Zeiss)
    • MPT files (BioLogic)
    • more to come...

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

obseln-0.1.10.tar.gz (195.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

obseln-0.1.10-py3-none-any.whl (88.0 kB view details)

Uploaded Python 3

File details

Details for the file obseln-0.1.10.tar.gz.

File metadata

  • Download URL: obseln-0.1.10.tar.gz
  • Upload date:
  • Size: 195.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.2 CPython/3.12.2 Darwin/23.5.0

File hashes

Hashes for obseln-0.1.10.tar.gz
Algorithm Hash digest
SHA256 d1de92b03e35e0568b0a157624729350e7d483a764412405e42015f3f0553270
MD5 5da3e17691b89365afdaebeff9fbca97
BLAKE2b-256 840e70f0ef589acc630e5895a195cbd4c07d577cde373142a77c53e131acb545

See more details on using hashes here.

File details

Details for the file obseln-0.1.10-py3-none-any.whl.

File metadata

  • Download URL: obseln-0.1.10-py3-none-any.whl
  • Upload date:
  • Size: 88.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.2 CPython/3.12.2 Darwin/23.5.0

File hashes

Hashes for obseln-0.1.10-py3-none-any.whl
Algorithm Hash digest
SHA256 829e71fd0fce037e326e830d71b1affaacf50318e14e5846335f8472810bc4a7
MD5 81f2110f67d6445a3ad3b0871491d9c7
BLAKE2b-256 a1b1a4cfba90cdd7f3199b2ed581b040fa94b072edfea95364edc5e7d465f101

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page