Public Dandisets

SpikeForest ground truth datasets

0
ID: 000618DRAFT
Contact Magland, Jeremy
File Count 125
Size 135.5 GiB
Created August 4, 2023
Last update January 9, 2026
Licenses: spdx:CC-BY-4.0
Access Information: dandi:OpenAccess

The SpikeForest project contains a collection of electrophysiological recordings together with ground truth spiking information for the purpose of benchmarking the performance of spike sorting algorithms. In this dandiset we provide a subset of these recordings together with ground truth.

This dataset was prepared using the following script:...

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Keywords:
electrophysiology
spike-sorting
ground-truth
benchmark
SpikeForest
Subject matter:
extracellular electrophysiology
spike sorting
action potential
ground-truth dataset
Contributors
Magland, Jeremy
Jun, James J
Lovero, Elizabeth
Morley, Alexander J
Hurwitz, Cole Lincoln
Buccino, Alessio Paolo
Garcia, Samuel
Barnett, Alex H
English, Daniel
Funding information
No funding information available.
Related resources
Recording from the same neuron with high-density CMOS probes and patch-clamp: a ground-truth dataset and an experiment in collaboration
ID: paired-kampff
Relation: dcite:HasPart
Automated in vivo patch-clamp evaluation of extracellular multielectrode array spike recording capability
ID: paired-boyden
Relation: dcite:HasPart
SpikeForest data descriptor (eLife)
Resource Type: dcite:JournalArticle
Relation: dcite:IsDescribedBy
prepare_dandiset.py (SpikeForest conversion script)
Resource Type: dcite:Software
Relation: dcite:IsSupplementTo
Assets Summary
Species
Mus musculus - House mouse
Rattus norvegicus - Norway rat
Approach
electrophysiological approach
Data Standard
Neurodata Without Borders (NWB)
RRID:SCR_015242
Number Of Subjects
4
Variable Measured
Units
ElectricalSeries
ElectrodeGroup
ProcessingModule
Measurement Technique
spike sorting technique
surgical technique
multi electrode extracellular electrophysiology recording technique
analytical technique
Dandiset Actions
Files
Metadata
Manifest
Owners
Jeremy Magland
Versions
DRAFT
Jan 9, 2026
There are no published versions. When a version gets published, it will appear here.