Published February 21, 2026 | Version v2
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Datasets - "Counting particles in cryo-electron microscopy may result in incorrect population estimates"

  • 1. ROR icon Flatiron Institute

Description

Datasets associated with the paper "Counting particles in cryo-electron microscopy may result in incorrect population estimates".

igg
particles.256_igg.mrcs - particles for the simulated igg dataset used in the manuscript.
particles_igg.star - star associated with particles.256_igg.mrcs
volumes_igg.zip - volumes for simulating the igg dataset. These volumes were simulated from the 100 pdbs in CryoBench, see the "IgG-1d" pdbs in their Zenodo

spike synthetic
spike_1up_3drest_nogly.pdb - pdb for the "1up" state of the spike used in the manuscript.
spike_3down_nogly.pdb - pdb for the "3down" state of the spike used in the manuscript.
particles.256_spike_noise_level_6.mrcs - particles for an example noise level (6th-highest noise) of the synthetic particles experiment in Fig. 1b of the manuscript
particles_spike_noise_level_6.star - star associated with particles.256_spike_noise_level_6.mrcs

spike experimental
particles_spike_experimental_mixed_downsampled.star - star for the experimental data used in the mansuscript.
particles_spike_experimental_mixed_downsampled.mrc - particles for the experimental data used in the mansuscript.

The spike experimental particles are the result of fourier downsampling of the particles in EMPIAR 50421 and 50422, and a cryosparc restack to combine these with an 80/20 ratio.

In the star file, particles 1-28976 are from EMPIAR 50421, and particles 28977 to 36220 are from EMPIAR 50422.

Files

volumes_igg.zip

Files (38.2 GB)

Name Size Download all
md5:6dea5ae0fbe7ee47352782cc3e892232
13.1 GB Download
md5:8cae573162818602b4bf7afbb609d5de
13.1 GB Download
md5:5e7e287c7586655279f3cdedf93694dc
19.5 MB Download
md5:a92558db6810e081c00da61927e17fd6
5.8 GB Download
md5:b96b3904e7530b1d651653da938b7152
5.6 MB Download
md5:bef7dc5027f13b34b42872dec32e02ea
19.7 MB Download
md5:f7bcc1433c8445463a10cda5127f3ec2
4.2 MB Download
md5:4e27ab1ac832a4ad2a73ad228172ad28
4.2 MB Download
md5:031ef01d133449409863bf95d2e91766
6.1 GB Preview Download

Additional details

Software

Repository URL
https://github.com/aevans1/counting_particles_paper
Programming language
Python
Development Status
Active