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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: 3 days ago
JSON representation

  • Open data movement

  • Additional Resources:

  • Reading corner

    • Programming

    • Unreliable Science (*and how to try overcome this issue)

    • Design

    • Relaxing on a hammock under a tree...

    • 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"

    • 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"

    • Other articles

      • 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"

  • Tools

    • AI: writing/ information searching

    • General: research

      • BIDS
      • Protocols.io
      • ADDI - workbench): Alzheimer's Disease Data Initiative; "a free data sharing platform, data science tools, funding opportunities, and global collaborations, ADDI is advancing scientific breakthroughs and accelerating progress towards new treatments and cures for AD and related dementias"

    • Coding/ Software

    • Neuroscience

      • Neurosynth - scale, automated synthesis of functional magnetic resonance imaging (fMRI) data
      • NEMAR
      • BrainIAK
      • ENIGMA toolbox - and macroscale data, Multiscale analytical workflows, 100+ ENIGMA-derived statistical maps

  • AI tools for researchers

    • Predatory journals/publishers etc.

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

  • Miscellaneous for Researchers

  • Open Data Science

  • Data visualisation

  • Publishing

    • Predatory journals/publishers etc.

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

  • Initiatives, research groups, associations, labs, companies

  • Summer Schools / Courses / Hackathons etc.

    • Other

      • Neurohackademy
      • Neuromatch - week program)) & Neuromatch Conference (a conference for the computational neuroscience community)

  • Conferences / Symposia

  • Initiatives, research groups, associations...

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

  • Miscellaneous

  • AI tools

  • Biohacking

  • Productivity

  • Data Visualisation

    • Predatory journals/publishers etc.

Programming Languages
Python 1 TeX 1
Categories
Reading corner 169 Miscellaneous for Researchers 22 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) 43 Other 22 Neuroscience 11 Predatory journals/publishers etc. 10 Journals (for Data Notes) 8 Platforms 8 Fellowships & Grants 8 Summer Schools 5 AI: writing/ information searching 5 Data Repositories (suitable for neuroimaging datasets) 5 Learning 4 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