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Supplemental Files for Schlegel et al., Nature (2024)

<p>This repository contains supplemental files for the paper "<strong>Whole-brain annotation and multi-connectome cell typing of Drosophila</strong>" - Schlegel <em>et al.</em>, Nature (2024).</p> <ul> <li><em>nblast_flywire_all_right_aba_comp.feather</em>&nbsp;contains all-by-all NBLAST score for all FlyWire neurons where neurons from the left hemisphere have been mirrored to the right</li> <li><em>nblast_flywire_hemibrain_min_comp.feather</em>&nbsp;<em>&nbsp;</em>contains NBLAST scores for FlyWire versus "hemibrain"&nbsp;neurons</li> <li><em>nblast_flywirre_mirrored_hemibrain_comp.feather</em>&nbsp;contains NBLAST scores for FlyWire versus "hemibrain" neurons where all FlyWire neurons have been mirrored</li> <li><em>sk_lod_783_healed_ds2.parquet</em> contains skeletons in SWC format for all FlyWire neurons (generated from lod 1 meshes and 2X downsampled, coordinates are in nanometres); the raw data can be read with e.g. the Python <a href="https://pypi.org/project/pyarrow/"><em>pyarrow</em></a> package (see <a href="https://arrow.apache.org/docs/python/parquet.html">documentation</a> for examples). Alternatively, you can use the <a href="https://github.com/navis-org/navis"><em>navis</em></a> Python package to read the contents into neuron objects (see <a href="https://navis-org.github.io/navis/reference/navis/#navis.read_parquet">navis.read_parquet).</a></li> </ul> <p>Additional notes:</p> <ul> <li>all root IDs refer to the 783 release of FlyWire</li> <li>for NBLAST files: <ul> <li>columns/indices for FlyWire neurons are given as "{root_id},{supervoxel_id}", where the supervoxel ID represents an anchor that can be used to map this neuron to different materialization versions</li> <li>scores were compressed by rounding to the 4th decimal and clipping values below 0</li> </ul> </li> </ul> <p>For neuron annotations and further details please see <a href="https://github.com/flyconnectome/flywire_annotations">https://github.com/flyconnectome/flywire_annotations</a>.&nbsp;</p> <p>The proofreading and FlyWire resource are described in our companion paper (Dorkenwald <em>et al.</em>, Nature, 2024).</p>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
4

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