Chemical LCA Carbon Footprint Dataset: What Exists and How It Delivers

A chemical LCA carbon footprint dataset attaches quantified environmental impacts to identified chemical entities, so footprint work can start from a structure or CAS number instead of a supplier questionnaire. That definition sounds modest until you count the chemicals it rescues: for most of any bill of materials, no product-specific life-cycle inventory exists, and every estimate has historically been an argument between two guesses.

The strongest record in Datadory's Specialty Chemicals slice answers exactly this gap. Dryad - LCA Impact Data for Chemicals (proxy classification) was built under the ARPA-E funded POD|LCA project at the University of Washington and published alongside an ES&T paper on bridging LCA data gaps with automated material classification. Its authors classified Federal LCA Commons products into the ClassyFire/ChemOnt chemical taxonomy, computed impacts in OpenLCA v2.4.0 with the US EPA ISO21930-LCIA-US method, and published both layers: per-process results and per-group distributions. Version 9 dates to April 22, 2026, revised April 30, 2026.

Within the slice it holds Quality 8 on the catalog rubric and ranks fifth among the best specialty chemicals datasets - and it is the only record there tagged to life-cycle assessment and carbon-footprint work. Datadory delivers it as typed rows with the field dictionary attached, not as three files to reverse-engineer.

Eighteen documented fields across two tables, and the split between them decides how you query the record.

The process table holds one row per Federal LCA Commons process: process name and UUID, process type (unit process requiring system linking, or aggregated LCI result), amount and unit, then the five impacts - global warming potential in kg CO2 eq computed with IPCC AR5 factors, acidification potential in kg SO2 eq, eutrophication potential in kg N eq, ozone depletion potential in kg CFC-11 eq and photochemical oxidant creation potential in kg O3 eq. Those are precisely the five core categories ISO 21930:2017 requires for environmental declarations. Each row also carries its NAICS category and subcategory, the compound name, an InChIKey, and all seven ClassyFire taxonomy levels from Kingdom through Parent level 3.

The proxy table is the one most teams actually query. It aggregates to one row per ChemOnt group at Kingdom, Superclass, Class or Subclass level and reports, per impact category, seven statistics: minimum, 20th percentile, first quartile, median, third quartile, 80th percentile and maximum. A Processes Classified count records how many processes stand behind each distribution before you quote any number from it.

The design point is easy to miss and worth stating plainly: the proxy rows never hand you a naked average. Seven statistics exist because within-class variation is wide enough to matter, and an uncertainty-aware footprint model wants the spread, not just the midpoint.

The join runs on structure, which is why it survives scale:

1. Resolve your substance to an InChIKey. PubChem exposes the standard InChIKey for cataloged compounds, so a SKU list converts to keys mechanically rather than by name-matching.
2. Place the compound in the ChemOnt tree. The process table stores all seven taxonomy levels per compound; the proxy groups stop at Subclass, the deepest slot you can match against.
3. Find the matching proxy row and read Processes Classified first. That count tells you how much evidence stands behind the distribution before you quote anything from it.
4. Read the median GWP plus the Q1-Q3 spread, in kg CO2 eq per kilogram, rather than anchoring on the maximum.
5. Publish a range, not a point value, and record the taxonomy level you matched at - a Kingdom-level match is far coarser than a Subclass one, and your citation should say which.

For classification coverage at scale, the InChIKey-Deduplicated ClassyFire/ChemOnt Label Collection carries labels for 73,356,229 unique compounds drawn from PubChem, ZINC20 and Enamine REAL, covering 4,120 of the 4,824 ChemOnt classes (85.4%). The remaining 704 classes have zero coverage - mostly exotic inorganic, lanthanide and actinide chemistry - and expect those gaps in the proxy table too. A chemical falling outside the classified groups has no proxy, and the honest output is a flagged gap rather than a fabricated factor.

Geography first: every underlying process comes from Federal LCA Commons repositories - the USLCI Database Public, US Forest Service Forest Products Lab, NIST Construction Materials and USEEIOv2.0 - carrying NAICS-coded US production context. These distributions describe American manufacturing conditions, so applying them elsewhere assumes process parity worth stating explicitly.

Vintage second: this is a static reference snapshot at version 9, not a time series, and there is no committed refresh path. Factor tables change when methods or inventories change, not on schedule - treat it as a versioned lookup layer and cite the version you used. Where you need the moving picture instead, facility-reported emissions do move annually: the EEA European Industrial Emissions Portal reprints European industrial releases every reporting cycle, and the EPA Toxics Release Inventory extends back decades for American facilities.

Granularity third: a proxy row describes a chemical class, never one supplier's plant or commercial grade. Identity handling has one more wrinkle downstream - the companion label collection keys on InChIKey without tautomer normalization, so tautomers can surface as separate entries in a class-level rollup. What the proxy layer removes is the excuse of having nothing citable at all; it does not replace primary assessment where the stakes justify one.

Note what the facility sources cannot do. TRI records toxic releases and waste management by medium, not CO2-equivalent totals, so it cannot stand in for a carbon figure. Facility greenhouse gas programs identify plants, not products. Only the proxy table connects an impact number to a chemical entity you can name with an InChIKey.

Pairing works in one direction: use the proxy range to estimate, then check whether supplier facilities appear in the reported-emissions registers for reality-testing. When they do appear, the comparison disciplines both sides - a supplier whose reported intensity sits far outside the class distribution either runs an unusually efficient plant or files unusually favorable numbers, and either finding deserves a question before a footnote. Datadory delivers both sides of that comparison joined on identifiers, so the reality check is a query rather than a reconciliation project.

Sustainability and EPD teams apply a group's median or 80th-percentile value wherever ISO 21930:2017's five required categories need numbers and product-specific inventory does not exist - screening-grade declarations that survive review because the ranges are stated honestly.

Portfolio and procurement analysts score a full SKU list by footprint range, then spend primary-LCA budget only on the materials whose spread makes the difference material. Supply-chain modelers attach intensity-per-kilogram estimates to purchased chemicals while supplier questionnaires are still out, keeping models whole instead of waiting. Data scientists get structure-keyed rows - InChIKey and seven taxonomy levels already attached - so no fuzzy name matching leaks into the pipeline. Market researchers and consultants get defensible screening numbers for sustainability positioning work that has to survive client scrutiny.

The workflow mappings run deeper on the pairing pages: estimation work continues in embodied carbon data for construction materials, regulatory identity pairs through TSCA active substances list, and persona routing lives at specialty chemicals for data scientists.

This cluster sits inside a 12-primary-record Specialty Chemicals pool spanning price intelligence, regulatory inventories, official production statistics, cheminformatics and sustainability data. The specialty chemicals data guide walks the whole pool, and the specialty chemicals data hub lists every product with coverage and delivery options in one table.

For depth around this page's topic: the Dryad LCA Impact Data for Chemicals profile carries the full field dictionary and sample rows, the head-to-head with UK production data lives at Dryad LCA vs data.gov.uk PRODCOM, and the scored shortlist sits at best specialty chemicals datasets. To see the delivery model priced end to end, start at Datadory pricing.