ZanderL1337/shipping-data-pipeline

Shipping Data Pipeline — Full Curated Snapshot

Maritime trade, vessel tracking, and chokepoint transit data covering 41 tables and 61,213,905 rows.

Data Sources

Table	Rows	Description
air_cargo	167,319	BTS T-100 air cargo freight tonnage by carrier and route
ais_positions	1,589,038	AIS vessel position reports
chokepoint_daily	79,548	Derived: daily traffic per PortWatch chokepoint, 7-day averages vs a year earlier and the prior 28 days, plus GDACS hazards within 500 km
chokepoint_profiles	28	Reference data for the 28 IMF PortWatch chokepoints: location, vessel mix and top industries
chokepoint_status	150	Maritime chokepoint alert status
chokepoint_transits	79,548	Vessel transits through chokepoints
curated_ais_positions	1,589,038	Derived: ais_positions joined with vessel and port details
curated_vessels	3,107	Derived: vessels with vessel age added
disruption_events	770	Natural-hazard disruption events (GDACS alerts) with affected ports and countries, as curated by IMF PortWatch
fuel_prices	23	Road diesel, retail gasoline, and marine bunker fuel prices (FreightPulse)
grain_export_destinations	209,992	Derived: corn, soybean and wheat export commitments per buying country per week, share of total and usual share (5-season average), vs a year earlier
grain_export_forecast	28	Derived: forecast of this season's total US corn, soybean and wheat exports at each week so far, anchored on USDA's WASDE projection, with a likely range (src/ml/grain_forecast)
grain_export_pace	4,324	Derived: corn, soybean and wheat export commitments per marketing-year week vs the prior year and 5-year average, plus a pace-based season projection (unreliable before about week 13)
grain_trade_monthly	1,640	Derived: monthly US corn, soybean, soybean meal, soybean oil and wheat exports and imports (Census): metric tons, USD, USD/ton, vs prior year and 5-year average
marine_weather	1,175	Ocean and marine weather conditions
maritime_freight	95,991	EU maritime freight throughput by port and direction
oil_inventories	268,745	Oil inventory stock levels
oil_prices	10,209	Oil and LNG price benchmarks
oil_trade	1,662,045	Oil trade flows by country
oil_trade_nowcast	81	Derived: US seaborne oil exports (HS 2709-2711, Census vessel weight) nowcast from PortWatch tanker tonnes about 4 weeks before Census; is_live rows have no Census figure yet; past months are walk-forward nowcasts (src/ml/oil_nowcast)
port_activity	5,855,213	Daily port calls and estimated import/export volume (metric tonnes) by vessel type for ~2,000 ports worldwide, from AIS (IMF PortWatch)
port_calls	6,308	Vessel port call events
port_congestion_proxy	2,065	Derived: each port's latest 7-day vs 90-day average port calls
port_metrics	566	Port-level throughput metrics (Singapore MPA)
port_profiles	2,065	Reference data for the IMF PortWatch ports: location, UN/LOCODE, vessel mix, top industries, and share of national maritime trade
port_tonnage_us	150	USACE principal US ports: annual cargo short tons (total, domestic, foreign, imports, exports) by calendar year
port_volumes	210	Monthly container throughput by port (TEU)
port_weekly	837,344	Derived: port calls and cargo per port per week (Mon-Sun) from port_activity; weeks with is_complete_week = false are partial
ports	128,342	Global port reference data, one row per port per source
sanctions	19,597	OFAC Specially Designated Nationals (SDN) list entries
storm_events	181,223	NOAA Storm Events Database details (severe weather with damage)
supply_chain_index	349	Global supply chain pressure index readings
trade_flow	2,439	Annual international trade flow data (UN Comtrade, Eurostat Comext) -- check the currency column, values are not all USD
trade_nowcast	18,228	Monthly AIS-based port calls and trade value/volume nowcasts by country and region group (IMF PortWatch TradeNow)
us_export_sales	327,637	USDA weekly US export sales of corn, soybeans and wheat by destination -- shipments plus booked-but-unshipped (outstanding) sales, metric tons
us_trade_partners	3,813,011	US monthly imports/exports by HS2 chapter and individual partner country (US Census) -- regional groups and the world total are excluded
us_trade_products	5,605,312	US monthly imports/exports for every HS10 product, world total (US Census) -- value, quantity + unit, duty, CIF, and value/weight by vessel, air, container; exports split domestic vs foreign-origin re-exports
usda_wasde	736,052	USDA monthly WASDE supply and demand estimates, every line of every report since September 2010 as published at the time (each release is a vintage)
vessel_tracks_us	37,911,048	Vessel tracks in US waters from NOAA MarineCadastre AIS, one row per track (a vessel's continuous movement, split at day boundaries), all vessel types, without the line geometry. Published ~145-165 days after collection, added about quarterly
vessels	3,107	Vessel identification data
weather	840	General weather observations

Usage

Each table lives in its own subfolder (<table>/<table>.parquet) -- load one directly with pandas or polars, or point datasets at a single table's parquet file:

import pandas as pd

df = pd.read_parquet("hf://datasets/ZanderL1337/shipping-data-pipeline/air_cargo/air_cargo.parquet")

from datasets import load_dataset

ds = load_dataset(
    "parquet",
    data_files=f"hf://datasets/ZanderL1337/shipping-data-pipeline/air_cargo/air_cargo.parquet",
)

Engineering & data quality

• 629 tests, run through a CI pipeline (lint → type check → test → collect → quality gate) that also runs the daily collection itself.
• Deduplication and lineage tracking: raw per-partition exports land in DuckDB, then a dedup/curation layer resolves the canonical table published here; source-tracking and lineage-event tables record where each row came from (kept internal, not part of this public export).

Build Info

• Generated: 2026-10-15
• Pipeline: ShippingDataPipeline (https://github.com/Zanderl1987/ShippingDataPipeline)
• Tables: 41
• Total Rows: 61,213,905
• Total Size: 1590.7 MB

License and attribution

CC BY 4.0 — data sourced from public APIs and government/intergovernmental databases. Upstream terms still apply to each source's data. In particular:

• port_activity, port_profiles, trade_nowcast, chokepoint_transits, disruption_events: Source: International Monetary Fund, PortWatch (https://portwatch.imf.org), used under the IMF copyright and usage terms (https://www.imf.org/en/about/copyright-and-terms). IMF data is available free of charge from the IMF. Columns are renamed and retyped; values are unaltered.
• disruption_events also derives from GDACS, the Global Disaster Alert and Coordination System (https://www.gdacs.org).
• us_trade_products, us_trade_partners: Source: U.S. Census Bureau, International Trade (https://www.census.gov/foreign-trade/), public domain. This product uses the Census Bureau Data API but is not endorsed or certified by the Census Bureau.
• us_export_sales, usda_wasde: Source: U.S. Department of Agriculture (Foreign Agricultural Service export sales via AgTransport; World Agricultural Outlook Board WASDE reports via the National Agricultural Library's ESMIS), public domain.