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UNGOC - Xenobiology R&D Department

UNGOC - Xenobiology R&D Department #35272757

3
members (measured 13 Oct 2026, 18:39 UTC)
30 November 2024
created (per Roblox API)
10 August 2026
first measured by this register

Game fan groupsENfictional organizationSCP-inspiredroleplay

Description

-----------Xenobiology Research and Development Department----------- The Xenobiology R&D Department is a department focused on researching biohazardous threats such as viruses or other biohazardous threats like biohazardous anomalies. The Xenobiology R&D Department also focuses on how to prevent the spread and outbreak of such viruses and anomalies in order to prevent disasters. Main group: https://www.roblox.com/groups/9893344/UNGOC-Global-Occult-Coalition#!/about Application is needed.

Written by the group; not a statement by this register.

Membership history

Growth

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every members count we have recorded
Measured (UTC)MembersChange
29 Aug 2026, 19:353first reading

Ownership

Owned by azarto (@azarto_51) as measured.

Groups seen changing owner — the largest ever handed over and the most recent — are on the ownership transfers board.

Members we’ve seen

azarto (@azarto_51) — Director of GOC (rank 255)

PlagueDoctor (@bandanchik) — GOC Command (rank 254)

A sample — only members this register has independently measured, highest rank first. Not the full roster.

Rank structure

Director of GOC1
GOC Command2
Chief Researcher0
50
40
30
20
10
Research Specialist0
Senior Researcher0
Researcher0
Member3
Junior Researcher0
Guest0

Roles and per-rank member counts as Roblox reports them (rank 0 = guest … 255 = owner).

Related groups

Groups whose measured members overlap with this one — a sample from our membership graph.

Open data

Download this group’s measured record — free to reuse with attribution: membership history (CSV) · full record (JSON)

Each file carries its licence and retrieval time inside it, and is generated from the same measurements shown above.