source-backed-method-package90/100
Plant growth improvement mediated by nitrate capture in co-composted biochar methods
human
Plant growth improvement mediated by nitrate capture in co-composted biochar
claudia i kammann3 steps - 3 eq.
ReplicateScience turns dense methods sections from open-access papers into structured, step-by-step protocols with equipment mappings, evidence quotes, and an API any biologist can call.
Four deterministic stages. Every output traces back to the original Methods section. Nothing is invented.
Open-access papers from PubMed Central, bioRxiv, and medRxiv are segmented into structured method text.
Each distinct experiment is parsed into atomic steps, parameters, materials, subjects, and evidence quotes.
Equipment mentions are confidence-matched against catalog records and never invented.
Run an assay tomorrow morning, or pipe a thousand protocols into a meta-analysis tonight. The browsable site and API are the same evidence-backed data.
Browsable protocols with prices, sources, and print-friendly execution details.
Completeness scores and evidence quotes make reproducibility auditable at a glance.
REST API, API keys, OpenAPI-compatible responses, and structured protocol JSON.
Every step, parameter, and equipment match links back to a source methods quote.
We process open-access literature, attribute sources, and do not scrape paywalls.
Scores expose missing details rather than filling gaps with plausible fiction.
The web interface and API use the same structured protocol records.
Open access. Always free to read. Submit any open-access paper for extraction and review.
A reviewer verifies steps, evidence, and product mappings before indexing.
mouse
Experimental adaptation of an influenza H5 haemagglutinin (HA) confers respiratory droplet transmission to a reassortant H5 HA/H1N1 virus in ferrets
# pip install replicatescience
from replicatescience import ReplicateScience
rs = ReplicateScience(api_key="rs_live_...")
# Search the methods literature
protocols = rs.protocols.search(
species="Mus musculus",
type="fear_conditioning",
min_completeness=85,
)
# Each protocol carries evidence
for p in protocols:
print(p.title, p.completeness)
for step in p.steps:
print(step.evidence)