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Date: Mon, 27 May 2024 15:26:26 +0100 Subject: [PATCH 2/6] Creating 10.21105.joss.06590.crossref.xml --- joss.06590/10.21105.joss.06590.crossref.xml | 170 ++++++++++++++++++++ 1 file changed, 170 insertions(+) create mode 100644 joss.06590/10.21105.joss.06590.crossref.xml diff --git a/joss.06590/10.21105.joss.06590.crossref.xml b/joss.06590/10.21105.joss.06590.crossref.xml new file mode 100644 index 0000000000..b0daa4b28b --- /dev/null +++ b/joss.06590/10.21105.joss.06590.crossref.xml @@ -0,0 +1,170 @@ + + + + 20240527T142604-a759c7d2195afeb50ab477cba3bf639881db536b + 20240527142604 + + JOSS Admin + admin@theoj.org + + The Open Journal + + + + + Journal of Open Source Software + JOSS + 2475-9066 + + 10.21105/joss + https://joss.theoj.org + + + + + 05 + 2024 + + + 9 + + 97 + + + + Neurosift: DANDI exploration and NWB visualization in +the browser + + + + Jeremy + Magland + https://orcid.org/0000-0002-5286-4375 + + + Jeff + Soules + https://orcid.org/0000-0002-2240-1038 + + + Cody + Baker + https://orcid.org/0000-0002-0829-4790 + + + Benjamin + Dichter + https://orcid.org/0000-0001-5725-6910 + + + + 05 + 27 + 2024 + + + 6590 + + + 10.21105/joss.06590 + + + http://creativecommons.org/licenses/by/4.0/ + http://creativecommons.org/licenses/by/4.0/ + http://creativecommons.org/licenses/by/4.0/ + + + + Software archive + 10.5281/zenodo.11192864 + + + GitHub review issue + https://github.com/openjournals/joss-reviews/issues/6590 + + + + 10.21105/joss.06590 + https://joss.theoj.org/papers/10.21105/joss.06590 + + + https://joss.theoj.org/papers/10.21105/joss.06590.pdf + + + + + + The Neurodata Without Borders ecosystem for +neurophysiological data science + Rübel + eLife + 11 + 10.7554/eLife.78362 + 2022 + Rübel, O., Tritt, A., Ly, R., +Dichter, B. K., Ghosh, S., Niu, L., Baker, P., Soltesz, I., Ng, L., +Svoboda, K., & others. (2022). The Neurodata Without Borders +ecosystem for neurophysiological data science. eLife, 11, e78362. +https://doi.org/10.7554/eLife.78362 + + + Neurodata Without Borders: Creating a common +data format for neurophysiology + Teeters + Neuron + 4 + 88 + 10.1016/j.neuron.2015.10.025 + 2015 + Teeters, J. L., Godfrey, K., Young, +R., Dang, C., Friedsam, C., Wark, B., Asari, H., Peron, S., Li, N., +Peyrache, A., & others. (2015). Neurodata Without Borders: Creating +a common data format for neurophysiology. Neuron, 88(4), 629–634. +https://doi.org/10.1016/j.neuron.2015.10.025 + + + Nwbwidgets: Explore the hierarchical +structure of NWB 2.0 files and visualize data with jupyter +widgets. + Dichter + GitHub repository + 2022 + Dichter, B. K. (2022). Nwbwidgets: +Explore the hierarchical structure of NWB 2.0 files and visualize data +with jupyter widgets. In GitHub repository. GitHub. +https://github.com/NeurodataWithoutBorders/nwbwidgets + + + h5wasm: A WebAssembly HDF5 reader/writer +library + Maranville + GitHub repository + 2022 + Maranville, B. B. (2022). h5wasm: A +WebAssembly HDF5 reader/writer library. In GitHub repository. GitHub. +https://github.com/usnistgov/h5wasm + + + Zarr-developers/zarr-python: +v2.17.1 + Miles + Zenodo + 10.5281/zenodo.10790679 + 2024 + Miles, A. et al. (2024). +Zarr-developers/zarr-python: v2.17.1. In Zenodo. 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    + + + + +Journal of Open Source Software +JOSS + +2475-9066 + +Open Journals + + + +6590 +10.21105/joss.06590 + +Neurosift: DANDI exploration and NWB visualization in the +browser + + + +https://orcid.org/0000-0002-5286-4375 + +Magland +Jeremy + + +* + + +https://orcid.org/0000-0002-2240-1038 + +Soules +Jeff + + + + +https://orcid.org/0000-0002-0829-4790 + +Baker +Cody + + + + +https://orcid.org/0000-0001-5725-6910 + +Dichter +Benjamin + + + + + +Center for Computational Mathematics, Flatiron Institute, +United States of America + + + + +CatalystNeuro, United States of America + + + + +* E-mail: + + +13 +3 +2024 + +9 +97 +6590 + +Authors of papers retain copyright and release the +work under a Creative Commons Attribution 4.0 International License (CC +BY 4.0) +2022 +The article authors + +Authors of papers retain copyright and release the work under +a Creative Commons Attribution 4.0 International License (CC BY +4.0) + + + +Neurodata Without Borders (NWB) +Distributed Archives for Neurophysiology Data Integration +(DANDI) +neurophysiology +data visualization +web visualization +javascript +web browser + + + + + + Summary +

    Neurosift, a browser-based visualization tool, is designed for the + interactive exploration of Neurodata Without Borders (NWB) files, + whether stored locally, on remote servers, or within the Distributed + Archives for Neurophysiology Data Integration (DANDI). NWB + (Rübel + et al., 2022; + Teeters + et al., 2015) is an open data standard for neurophysiology that + enables the sharing, archiving, and analysis of various types of + neurophysiology data. DANDI + (Rübel + et al., 2022) is a cloud-based platform that supports the + storage, sharing, and analysis of neurophysiology data including NWB + files. With Neurosift integration, users browsing DANDI can easily + open any NWB file in the browser and explore its contents, including + timeseries data, images, and more. Neurosift can also be used to + browse the DANDI database or individual Dandisets. Overall, Neurosift + simplifies the visualization and exploration of complex NWB file + structures, making it a valuable tool for neuroscientists.

    +
    + + Statement of need +

    In the evolving field of neuroscience research, the ability to + manage and share complex data sets is crucial. NWB has emerged as a + standard for neurophysiology data, aimed at facilitating data sharing, + storage, and analysis. However, the specialized nature of the NWB + format necessitates tools that can provide intuitive interfaces for + researchers to explore their data effectively. Neurosift is designed + to address this need.

    +

    Because files found on DANDI can often be large and unwieldy, + various tools have emerged to address this issue by streaming portions + of the NWB file without the need to download the entire file. One such + tool is NWB Widgets + (Dichter, + 2022), which provides a suite of interactive widgets for + visualizing NWB data within Jupyter notebooks, enabling users to + navigate the hierarchical structure of NWB files and directly + visualize specific data elements. This package was a large part of the + inspiration for Neurosift. The main difference is that NWB Widgets is + a Python package that runs within interactive Python environments, + while Neurosift is a browser-based tool that can be used without any + installation. These two tools cater to different use cases, with + Neurosift being more accessible to a wider audience, and being better + suited for integration with DANDI.

    +
    + + Functionality +

    Neurodata Without Borders files are structured hierarchically and + encapsulate various “neurodata” types that reflect different aspects + of neurophysiological experiments. These types range from + BehavioralEvents, which record discrete actions or + occurrences within experiments, to data structures like + Fluorescence, ImageSegmentation, and + RoiResponseSeries, which are key data types in + optical neurophysiology. Other neurodata types include + ElectricalSeries for electrophysiological signals and + Units for spike times of neurons. Neurosift allows + interactive navigation of this hierarchical structure (Figure 1) and + provides plugin visualizations for many of these types (Figure 2). It + also facilitates the creation of composite views by allowing users to + select and synchronize multiple data types within the same interface + (Figure 3). This synchronization extends to navigation actions such as + zooming and panning, where different sub-windows, each displaying a + different aspect of the data, maintain a shared time axis. These views + can then be shared with others as a URL.

    + +

    Screenshot of Neurosift displaying a NWB file from the + ‘IBL - Brain Wide Map’ Dandiset (ID 000409), showcasing the tool’s + capability to navigate and visualize the hierarchical structure of + neurophysiological data. Visible are expanded panels for + ElectricalSeries and ImageSeries + objects, alongside a TimeIntervals object and a + Units table.

    + +
    + +

    Interactive Peri-stimulus Time Histogram (PSTH) + visualization in Neurosift, enabling users to select neural units, + time alignment variables, and customize options like window range, + histogram bin count, and grouping variables.

    + +
    + +

    Synchronized view within Neurosift demonstrating the + interactive alignment between an ElectricalSeries + and a Spike Raster Plot. This feature allows users + to seamlessly zoom and pan across both visualizations, maintaining a + coherent temporal perspective across different data + types.

    + +
    +
    + + Architecture and technical innovation +

    Neurosift is a static React/TypeScript website, + meaning that it is delivered to the user’s browser exactly as stored, + without the need for dynamic server-side processing of requests. This + approach simplifies deployment and maintenance; it can be deployed to + any static hosting service.

    +

    The main technical challenge in developing Neurosift was the + requirement to lazy-load data objects from remote NWB files that are + built on the complex HDF5 format. While HDF5’s efficient data + organization is ideal for the large, multidimensional datasets typical + in neurophysiology, its primary implementations are in the C language. + This necessitates a creative solution to enable efficient web-based + access to these files. To bridge this gap, Neurosift leverages + WebAssembly to run compiled C code in the browser, specifically + utilizing a modified version of the h5wasm + (Maranville, + 2022) library. Unlike the unmodified h5wasm, which primarily + handles fully downloaded files, Neurosift’s fork introduces an + innovative approach to efficiently read data chunks from remote files. + This allows for partial data reads without the need for a prior + download of the entire file. This solution showcases the potential of + WebAssembly in overcoming challenges associated with web-based data + analysis tools.

    +
    + + Future directions +

    Looking forward, there is potential to expand Neurosift’s + capabilities with enhanced visualizations and support for additional + data types. Additionally, we are adding support for Zarr + (Miles, + 2024), a cloud-friendly alternative to HDF5 as a storage + backend for NWB files.

    +
    + + Conclusion +

    Neurosift makes neurophysiology data more accessible to scientists. + By facilitating the exploration of complex datasets directly within a + browser, it lowers the barrier to entry for data analysis and fosters + collaborative research efforts.

    +
    + + + + + + + RübelOliver + TrittAndrew + LyRyan + DichterBenjamin K + GhoshSatrajit + NiuLawrence + BakerPamela + SolteszIvan + NgLydia + SvobodaKarel + others + + The Neurodata Without Borders ecosystem for neurophysiological data science + eLife + eLife Sciences Publications Limited + 2022 + 11 + 10.7554/eLife.78362 + e78362 + + + + + + + TeetersJeffery L + GodfreyKeith + YoungRob + DangChinh + FriedsamClaudia + WarkBarry + AsariHiroki + PeronSimon + LiNuo + PeyracheAdrien + others + + Neurodata Without Borders: Creating a common data format for neurophysiology + Neuron + Elsevier + 2015 + 88 + 4 + 10.1016/j.neuron.2015.10.025 + 629 + 634 + + + + + + DichterBenjamin K + + Nwbwidgets: Explore the hierarchical structure of NWB 2.0 files and visualize data with jupyter widgets. + GitHub repository + GitHub + 2022 + https://github.com/NeurodataWithoutBorders/nwbwidgets + + + + + + MaranvilleBrian B. + + h5wasm: A WebAssembly HDF5 reader/writer library + GitHub repository + GitHub + 2022 + https://github.com/usnistgov/h5wasm + + + + + + MilesAlistair et al. + + Zarr-developers/zarr-python: v2.17.1 + Zenodo + Zenodo + 2024 + 10.5281/zenodo.10790679 + + + + +

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