# Download

This document explains how to access data hosted by NeuroData. Data are publicly available. NeuroData utilizes the BOSS, co-developed with JHU-APL, as a data store. We also selectively host small datasets on S3 for fast data visualization in neuroglancer. For that, see our guide on the precomputed format.

# Boss hierarchy

1. Collection: typically either the name of the lab PI or the person who collected the data
2. Experiment: within this level, data share a common voxel extent and voxel size. Often synonymous with actual experiments.
3. Channel: data reside at this level and are either uint8/uint16 image data or uint64 annotations

Further information on BOSS organization can be found in the docs.

# Methods for accessing data

There are four methods for getting data from the BOSS:

# ndwebtools

A frontend for navigating BOSS projects. It provides TIFF cutouts (limited to < 1GB) to data and links to data visualization (through neuroglancer). Larger cutouts should be performed programmatically using either ndex or intern detailed below.

• Log in at ndwebtools.neurodata.io
• Navigate the available projects by clicking the links to collections and experiments. Clicking on any experiment takes you to the cutout page.
• The cutout page provides TIFF downloads and viz links for channels within each experiment.

# neuroglancer

To visualize the data before downloading you can use neuroglancer. Please see our guide.

# ndex

A Python command-line tool for downloading volumes of data from the BOSS as TIFF stacks. This library can also be loaded from within Python.

Installation and usage instructions on its GitHub page

# intern

A Python package developed by JHU-APL for interactive and programmatic usage of the BOSS.

Installation and usage instructions available on its GitHub page