Field evidence, tied to the ground it came from.
Agricultural research is scattered across thousands of studies, and almost none of it is tied to the place it happened. So nobody can say with confidence what works, where. We read the methods sections, resolve the site to a real county, and keep the sentence that proves it.
Free, no form. Real rows from the live database, quotes included.
What one row gives you
One row is one observation — a place, a season, and something that was actually measured there. Not a paper, not an abstract.
- Where
- State, county, county FIPS, and a field coordinate when the study reported one
- What practice
- Tillage class, cover crop, crop, irrigation — normalized, not free text
- What was measured
- Soil carbon, yield, emissions and similar, with units and sampling depth
- How we know
- The verbatim sentence, the method used to place it, and a confidence level
- Where it came from
- The study title and DOI, so you can go read it yourself
Who uses it
Model teams
Calibrating remote-sensing, crop, or biogeochemical models against something measured in a field rather than inferred from orbit.
Carbon programs & MRV
Backing practice claims with field evidence that survives an audit, including who reported it and when.
Commodity boards & funders
Showing what the research you funded actually found, and the counties it happened in.
Agencies & policy teams
Practice and outcome evidence at county grain, between the five-year census releases.
Every row quotes its source
Each observation carries the verbatim sentence it was read from, and the study it sits in. If we cannot show you the sentence, we do not sell you the row.
Counties resolve against real geometry
Every county matches the same polygons our maps render, so a FIPS code joins cleanly to yours. A location we cannot place is left unplaced rather than guessed.
Thin evidence stays quiet
Agreement rates are suppressed below five comparable observations, and a practice measured under a different definition is flagged, not silently compared.
Ways to work with us
Priced by the work, not by the row. Row-count pricing rewards padding, and padding is what fails an audit.
Curated tranche
Name a geography, a practice, and a range of years. We curate that slice by hand and deliver it with full provenance — so you can test us against a set you already know the answer to.
- A defined scope, delivered as CSV
- Hand-verified, with the quote behind every row
- Yours to keep and audit
Data licence
The county-year observation panel, with updates as it grows. Every row carries its provenance, its confidence, and the definition it was scored under.
- County and crop-year resolved observations
- Practice classes and measured values
- Bulk export — no per-call metering
Reconciliation
When several providers estimate the same county, they disagree. We tell you where — and whether a disagreement is a measurement error or two different definitions of the same practice.
- Per-provider agreement by county, year, and practice
- Definition matching, so like is compared with like
- Disagreement hot spots worth field-checking
Where this stands today
We would rather tell you than have you find out. The corpus is real and growing; the county-year panel is being built out of it now, and the first tranches are curated to order.
Tell us what you are working on.
A practice, a region, the years you care about. We will tell you what we hold today, what we would have to curate, and what it would cost — or that we are not the right fit, which is sometimes the answer.