For Data Scientists & ML Engineers · Construction Engineering
Construction & Engineering Data for Data Scientists
Construction Engineering data for data scientists: 15 datasets on one shelf. Every one delivered as API, files, or warehouse rows.
financial time series api for backtesting · alternative data for quantitative research · where to get training data for construction engineering models
API, files, or your warehouse. Daily, weekly, or hourly.
Which construction & engineering datasets qualify for data science work?
This slice keeps the fifteen construction & engineering records that clear Datadory's relevance bar for data scientists and ML engineers — six of them score the maximum relevance 3, and the slice averages quality 7.87 against a catalog-wide mean of 7.81 across the 1,744 datasets Datadory catalogs. Start from the construction-engineering data hub for the industry's complete inventory, and all data-scientists resources for the sibling persona slices.
The best construction & engineering datasets for data scientists, ranked
Ordered by relevance to modeling work first, then Datadory quality score, then access convenience. The one-line verdict under each name is written for pipeline builders.
How do you combine these sources into one pipeline?
Compose around three grains. The city-lot grain comes from Chicago and NYC DOB GeoJSON; land both in spatial storage so permit rows and geometries stay together. The site grain joins SSURGO soil attributes to project polygons and overlays USGS seismic events as hazard-distance features. Labels come last: OSHA NAICS-keyed histories for establishment risk, CPWR's 768-investigation archive for fatality classification, and ASCE letter grades only if your unit of analysis is system-level infrastructure spending.
Straight answers
Is there a construction time series API I can use for backtesting?
Yes. FRED serves HOUST and permit series back to January 1959 through a documented REST API with CSV, JSON and XML output; the Census API covers the same permit, start and completion series; and Eurostat distributes monthly EU permits from January 1994 over SDMX for cross-market backtests.
Does construction data work as alternative data for quantitative research?
It does. Monthly Value of Construction Put in Place dollar volumes give a demand signal independent of company filings, geocoded permit rows for Chicago and NYC DOB proxy local activity at lot grain, and OSHA inspection histories add establishment-level risk covariates keyed by NAICS.
Where can I get training data for construction safety-risk models?
Two complementary layers. CPWR's Construction FACE Database adds 768 coded fatality investigations covering 1982 to June 30, 2015 — a fixed archive suited to labels and evaluation rather than streaming features. USGS FDSN contributes seismic exposure as a geospatial covariate.
Rows before rollout
Sample rows from any shelf entry — the field dictionary and coverage notes ride along. If the shelf misses what you need, say so; sourcing requests are half our job.
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