Published March 27, 2024
| Version v2
Dataset
Open
Supplemental Files for Schlegel et al., Nature (2024)
Authors/Creators
- 1. Department of Zoology, University of Cambridge
- 2. Neurobiology Division, MRC Laboratory of Molecular Biology, Cambridge, UK
Description
This repository contains supplemental files for the paper "Whole-brain annotation and multi-connectome cell typing of Drosophila" - Schlegel et al., Nature (2024).
- nblast_flywire_all_right_aba_comp.feather contains all-by-all NBLAST score for all FlyWire neurons where neurons from the left hemisphere have been mirrored to the right
- nblast_flywire_hemibrain_min_comp.feather contains NBLAST scores for FlyWire versus "hemibrain" neurons
- nblast_flywirre_mirrored_hemibrain_comp.feather contains NBLAST scores for FlyWire versus "hemibrain" neurons where all FlyWire neurons have been mirrored
- sk_lod_783_healed_ds2.parquet 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 pyarrow package (see documentation for examples). Alternatively, you can use the navis Python package to read the contents into neuron objects (see navis.read_parquet).
Additional notes:
- all root IDs refer to the 783 release of FlyWire
- for NBLAST files:
- 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
- scores were compressed by rounding to the 4th decimal and clipping values below 0
For neuron annotations and further details please see https://github.com/flyconnectome/flywire_annotations.
The proofreading and FlyWire resource are described in our companion paper (Dorkenwald et al., Nature, 2024).
Notes
Files
Files
(6.6 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:a8b3d2589b382bdb1ca19a060249a2dc
|
809.0 MB | Download |
|
md5:3ca6d79615e1cd30b37f32a8ae845f32
|
212.1 MB | Download |
|
md5:a0e2089764911fc5fd2d2d14c6aaa6a0
|
223.2 MB | Download |
|
md5:a4c104776f33ec539ef859064c4de3df
|
5.4 GB | Download |
Additional details
Funding
- National Institutes of Health
- Automating whole brain connectomics: development, validation, and application of an open toolkit 1RF1MH120679-01
- Wellcome Trust
- The connectome of olfactory memory circuits in the adult fly 203261
- Wellcome Trust
- A high-quality connectome of the complete adult Drosophila central nervous system 220343