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SORTED

SORTED: A curated collection of interesting ideas, tools, and resources in neuroscience, data management, and data science, all in the spirit of Open Science. Additionally, it includes interesting miscellaneous links related to AI tools and productivity.
https://github.com/PTDZ/SORTED

Last synced: 6 days ago
JSON representation

  • Additional Resources:

  • AI tools

  • AI tools for researchers

    • Predatory journals/publishers etc.

      • Litmaps
      • Perplexity - to-date information by combining LLMs with real-time web access.

  • Biohacking

  • Conferences / Symposia

  • Data visualisation

  • Data Visualisation

    • Predatory journals/publishers etc.

  • Initiatives, research groups, associations...

  • Initiatives, research groups, associations, labs, companies

  • Interesting companies & labs, internships, job advertisements, grants & travel grants

  • Miscellaneous

  • Miscellaneous for Researchers

  • Open data movement

  • Open Data Science

  • Productivity

  • Publishing

    • Predatory journals/publishers etc.

      • Think-Check-Submit - sector initiative aims to educate researchers, promote integrity, and build trust in credible research and publications

  • Reading corner

    • Articles

      • Paper
      • Article
      • Paper
      • Paper
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Article
      • Paper
      • Paper
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Article
      • Paper
      • Paper
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Article
      • Paper
      • Paper
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Article
      • Paper
      • Paper
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Article
      • Paper
      • Paper
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Article
      • Paper
      • Paper
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Article
      • Paper
      • Paper
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Article
      • Paper
      • Paper
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Article
      • Paper
      • Paper
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Article
      • Paper
      • Paper
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Article
      • Paper
      • Paper
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Article
      • Paper
      • Paper
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Article
      • Paper
      • Paper
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Article
      • Paper
      • Paper
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Article
      • Paper
      • Paper
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Article
      • Paper
      • Paper
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Article
      • Paper
      • Paper
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Article
      • Paper
      • Paper
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Article
      • Paper
      • Paper
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Article
      • Paper
      • Paper
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Article
      • Paper
      • Paper
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Article
      • Paper
      • Paper
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Article
      • Paper
      • Paper
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Article
      • Paper
      • Paper
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Article
      • Paper
      • Paper
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Article
      • Paper
      • Paper
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Article
      • Paper
      • Paper
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"

    • Design

    • Other

      • Karty Data Science
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
      • Paper - user’s perspective. We cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results"
Programming Languages
Python 1 TeX 1
Categories
Reading corner 189 Miscellaneous for Researchers 24 Open data movement 11 Tools 10 Open Data Science 9 Initiatives, research groups, associations, labs, companies 6 Interesting companies & labs, internships, job advertisements, grants & travel grants 6 Additional Resources: 4 Biohacking 3 Data visualisation 3 Summer Schools / Courses / Hackathons etc. 2 Initiatives, research groups, associations... 2 AI tools for researchers 2 Conferences / Symposia 2 Productivity 1 AI tools 1 Miscellaneous 1 Data Visualisation 1 Publishing 1
Sub Categories
Articles 113 Unreliable Science (*and how to try overcome this issue) 59 Other 26 Neuroscience 12 Predatory journals/publishers etc. 10 Journals (for Data Notes) 8 Platforms 8 Fellowships & Grants 8 Learning 5 Summer Schools 5 AI: writing/ information searching 5 Data Repositories (suitable for neuroimaging datasets) 5 General tools 3 General: research 3 Other lists 2 Relaxing on a hammock under a tree... 1 Coding/ Software 1 Programming 1 Other articles 1 Design 1 Journals 1
Keywords
awesome 4 awesome-list 4 neuroscience 3 computational-neuroscience 2 brain 2 open-science 2 list 2 remarkable-tablet 1 python 1 nirs 1 mooc 1 meg 1 matlab 1 intelligence 1 eeg 1 machine-learning 1 deep-neural-networks 1 deep-learning 1 tutorials 1 resources 1 quickstart 1 collection 1 science 1 open-datasets 1 open-data 1 computational-science 1 simulation-neuroscience 1 neuroscience-methods 1 neuroscience-data 1 neuron-models 1 neuroimaging-data 1 neural-simulators 1 neural-simulations 1 electrophysiological-data 1 computational-biology 1