Construction Machinery & Heavy Transportation Equipment Data: Production, Trade, Fleets and Resale · Head-to-head
DieselNet - emission standards database for heavy-duty engines vs Kaggle - Heavy Equipment Pricing Data
Which construction machinery & heavy transportation equipment data: production, trade, fleets and resale data fits your job: DieselNet - emission standards database for heavy-duty engines, or Kaggle - Heavy Equipment Pricing Data. API, files, or your warehouse. Daily, weekly, or hourly.
DieselNet - emission standards database for heavy-duty engines
Kaggle - Heavy Equipment Pricing Data
Coverage, side by side
| DieselNet - emission standards database for heavy-duty engines | Kaggle - Heavy Equipment Pricing Data | |
|---|---|---|
| Geographic | Worldwide: US federal and California, Canada, Mexico, EU and individual European countries, China, India, Japan, Korea, Singapore, Thailand, Australia, South American countries, plus IMO, UIC and Gothenburg Protocol regimes | United States, split across 80 coded regions |
| Temporal | Historical through current standards; US heavy-duty limit tables begin 1974; continuously maintained since 1997 | Static April 2021 snapshot; machine model years 1990-2020; listing capture dates not included |
| Granularity | Per regulation, per vehicle/engine category, per model year | One row per equipment listing |
What each contains
They tie on 1 attribute. Pick by fit, not by loyalty.
| DieselNet - emission standards database for heavy-duty engines | Kaggle - Heavy Equipment Pricing Data | |
|---|---|---|
| Publisher | Ecopoint Inc. / DieselNet (published since 1997) | EquipmentRadar, published on Kaggle (April 2021, version 1) |
| Subject lens | Engine emission standards, fuel regulations and emission test cycles for on-road, nonroad, marine and stationary diesel engines | US asking prices for used and new construction and agriculture equipment, with usage hours and condition |
| Geographic coverage | Worldwide: US federal and California, Canada, Mexico, EU and individual European countries, China, India, Japan, Korea, Singapore, Thailand, Australia, South American countries, plus IMO, UIC and Gothenburg Protocol regimes | United States, split across 80 coded regions |
| Temporal coverage | Historical through current standards; US heavy-duty limit tables begin 1974; continuously maintained since 1997 | Static April 2021 snapshot; machine model years 1990-2020; listing capture dates not included |
| Granularity | Per regulation, per vehicle/engine category, per model year | One row per equipment listing |
| Scale | Roughly 100+ standards summaries across jurisdictions, plus fuel regulations, test cycles and technology papers | 1,742 rows x 8 columns; ~110 KB uncompressed, ~54 KB zipped |
| Documented fields | 6 | 8 |
| Best for | Compliance timelines, certification planning, multi-market regulatory history | Hedonic price modeling, depreciation analysis, US resale benchmarks |
What each does better
DieselNet - emission standards database for heavy-duty engines
Depth of time nobody in the slice matches. The US heavy-duty limit tables open at 1974 - CO at 40 against a combined HC+NOx ceiling of 16 - and run unbroken to the present program. That is five decades of regulatory history in one continuous series, long enough to model how tightening NOx and PM limits drove aftertreatment adoption rather than merely checking next year's box.
Jurisdictional breadth under one organization scheme. Roughly 100+ standards summaries span North America (US federal and California, Canada, Mexico), Europe (EU plus individual countries including Germany, Switzerland, Turkey and Russia/EAEU), Asia (China, India, Japan, Korea, Singapore, Thailand), Australia, South America (Argentina, Brazil, Chile, Colombia, Peru) and international regimes - IMO marine, UIC locomotive, the Gothenburg Protocol and World Bank guidelines. A manufacturer certifying one engine family into several markets reads all of them off the same template, with supporting fuel-regulation and test-cycle sections beside them.
Supporting apparatus around the limit tables. Fuel regulations, emission test cycles, calculators and a glossary sit beside the standards summaries, so the question of how a limit is measured - which cycle, which fuel properties - is answered in the same reference rather than a second lookup. Field definitions are verified rather than inferred, which matters when a compliance claim has to survive audit. See emission standards database for why that consolidation matters.
Kaggle - Heavy Equipment Pricing Data
Documented ranges run from $10,000 to $478,000 across excavators, dozers, tractors, combines, trucks, mowers and applicators.
Machine-readable from the first byte. One zipped CSV (~54 KB compressed, ~110 KB open) drops into any dataframe without parsing markup - the entire file is small enough to hold in memory and iterate on interactively. See meter hours and used equipment pricing data for how those two columns drive valuation work.
The verdict
Verdict: sample both, pick by fit, because the two records answer questions that never collide. If your question lives in compliance or product engineering - what NOx ceiling a 2027 heavy-duty engine must meet in the US, California, China and the EU simultaneously; how PM limits have tightened since 1974; which test cycle governs a nonroad certification - DieselNet - emission standards database for heavy-duty engines is the instrument shaped for it, and nothing else among the 22 datasets in this slice consolidates jurisdictions that way.
Both records carry honest gaps - the pricing record hides category, manufacturer and region behind deliberately opaque codes, and the standards record summarizes rather than reproduces every national text - so cut each sample to your jurisdictions, categories and years before judging.
Sample both, pick by fit. See DieselNet - emission standards database for heavy-duty engines · See Kaggle - Heavy Equipment Pricing Data
Fair questions
Is DieselNet - emission standards database for heavy-duty engines better than Kaggle - Heavy Equipment Pricing Data?
Neither is better - they measure different things. Choose by whether your question is regulatory or commercial.
Do the two datasets overlap anywhere?
Only on the year axis. Both field dictionaries carry a year column - the standards side stamps the model year a limit applies to, the pricing side stamps the machine's manufacture year - so fleet vintages can be aligned conceptually.
Which dataset covers more geography?
The DieselNet record, by an order of magnitude: roughly 100+ standards summaries spanning the Americas, Europe, Asia, Australia and international marine, locomotive and protocol regimes. The pricing record covers one country - the United States - split across 80 coded regions, with no other markets represented.
Which dataset has more rows?
The pricing record, at the row level: 1,742 equipment listings in one flat table. The standards record counts differently - roughly 100+ jurisdiction summaries whose limit tables expand into one row per regulation, engine category, model year and pollutant, a grid far larger than 1,742 cells once fully flattened.
Can Datadory deliver both datasets together?
Yes. Either record arrives alone or merged onto one delivery calendar, delivered daily, weekly, or hourly, your call. Name the jurisdictions, engine categories, machine categories and model years when you request the sample and it lands pre-cut, with field definitions and coverage profiles attached. Or take both in one feed.