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Open Data

The data behind the pages.

We read the studies, the logs, and the community — then publish the aggregates openly. Two anonymized datasets, free to download and cite under CC-BY. Self-report, non-clinical, and honest about what it can't tell you.

2open datasets
487cycle logs aggregated
1,681community voices
72compounds covered
CC-BYreuse with attribution

The datasets

Derived aggregates only — no usernames, no verbatim posts. Every figure carries its coverage and its limits (see each dataset's methods).

Real-World Cycle-Log Aggregates

What people actually report doing and experiencing: dose bands, cycle length, common stacks, and self-reported outcomes + side-effects — aggregated per compound.

50 compounds487 logs235 worked · 165 mixed · 87 stopped
JSON CSV Methods

Demand · Sentiment · Evidence Index

How much each compound is searched for (real demand), what the community actually thinks (stance-coded voices, experts vs forums), and how strong the evidence is — side by side.

72 compounds1,681 voices525 positive · 760 cautionary
JSON CSV Methods

What the data says

A few findings that fall straight out of the aggregates. Numbers are indicative (self-report, small samples) — read the methods before quoting.

Most searchedmonthly search demand

  1. Testosterone3.9M
  2. HCG2.1M
  3. Semaglutide1.9M
  4. Tirzepatide1.6M
  5. BPC-1571.5M

High demand, thin evidencesearched a lot · evidence weak

  1. BPC-1571.5M
  2. Boldenone284k
  3. Testolone55k
  4. 1-Testosterone14k
  5. RAD-1508k

Most cautionedshare of voices negative

  1. Testolone76%
  2. S-2368%
  3. IGF-1 LR365%
  4. YK-1164%
  5. Trenbolone64%

Cite this data

Free to reuse with attribution (CC-BY-4.0). Persistent DOIs are being minted — this page is the canonical landing page in the meantime.

How to cite

Enhanced Studies (2026). Real-World Cycle-Log Aggregates &
Compound Demand · Sentiment · Evidence Index. Enhanced Studies Open Data.
https://enhancedstudies.com/data/

Questions, corrections, or a use-case? Get in touch — this is a community-driven project.

Read before you cite. These are aggregated self-reports from public forums, not clinical data. Samples are small (6–12 logs per compound), curated, and subject to selection bias. Side-effect counts reflect what users mentioned, not incidence; sentiment reflects curated public voices, not a representative survey; "demand" is search volume, not usage. Educational and informational only — never medical advice, never an endorsement of use. Where a signal is missing, it's left blank, not guessed.