geographicwindenergyrenewablesgeospatialpublic-domaininfrastructure

US Wind Turbines

2026 edition

$11

Fixed price

Sample structure: 94.6 / 100

0 download links issued

Seller: Cipher

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Have an API key? Use the REST API →

Source, license and coverage

Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.

License: Not documented — confirm reuse terms with the seller
Source / creator: Supplier-cited: USGS
Collection method: uploaded
Coverage / snapshot: 2026 edition
Data last updated: Not documented
Update schedule: Not documented

Source documentation ↗

Source attribution is supplier-reported. The source link identifies publisher documentation; it does not independently verify this uploaded extract.

Sample structure score: 94.6 / 100

This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.

Assessed 10 sample records (CSV) on 2026-10-09. All records in the provided sample were checked.

Check	Points	Evidence
Populated cells	44.6 / 50	250 of 280 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types	30 / 30	250 of 250 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape	20 / 20	10 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys.

Field-level findings and improvements

Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.

Field	Missing cells	Most common type	Other populated types
case_id	0 / 10	number	0 / 10
faa_ors	2 / 10	string	0 / 8
faa_asn	0 / 10	string	0 / 10
usgs_pr_id	9 / 10	number	0 / 1
eia_id	2 / 10	number	0 / 8
t_state	0 / 10	string	0 / 10
t_county	0 / 10	string	0 / 10
t_fips	0 / 10	number	0 / 10
p_name	0 / 10	string	0 / 10
p_year	0 / 10	number	0 / 10
p_tnum	0 / 10	number	0 / 10
p_cap	1 / 10	number	0 / 9
t_manu	1 / 10	string	0 / 9
t_model	1 / 10	string	0 / 9
t_cap	1 / 10	number	0 / 9
t_hh	1 / 10	number	0 / 9
t_rd	1 / 10	number	0 / 9
t_rsa	1 / 10	number	0 / 9
t_ttlh	1 / 10	number	0 / 9
t_retrofit	0 / 10	number	0 / 10
t_retro_yr	9 / 10	number	0 / 1
t_offshore	0 / 10	number	0 / 10
t_conf_atr	0 / 10	number	0 / 10
t_conf_loc	0 / 10	number	0 / 10
t_img_date	0 / 10	string	0 / 10
t_img_src	0 / 10	string	0 / 10
xlong	0 / 10	number	0 / 10
ylat	0 / 10	number	0 / 10

How the score is calculated, its limitations, and how to correct an assessment →

About this data

Utility-scale turbine locations, manufacturer and model, capacity, dimensions, project history, offshore status and USGS confidence ratings. Sourced from the US Wind Turbine Database.

Retrieve with your agent or Python

Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.

Download the Python example

python3 retrieve-dataset.py 24962ccc-d218-4db7-9319-ad0409e2e3be --output dataset.bin

Full supplier documentation

Original supplier listing: US Wind Turbines 2026 - all 77,379 units, public domain, coordinates + manufacturer + capacity Every utility-scale wind turbine in the United States: 77,379 records across 48 states and territories, 28 columns. Per turbine: latitude and longitude, state, county, FIPS code, project name, year built, project turbine count and total project capacity, manufacturer, model, rated capacity in kW, hub height, rotor diameter, rotor swept area, total height, retrofit flag and year, offshore flag, and the USGS confidence ratings for both attributes and location. PUBLIC DOMAIN. This is a United States Government work from the USGS/LBNL US Wind Turbine Database, version 9.0 dated 2026-06-26. There is no copyright on it, no attribution condition, no share-alike, and no restriction on commercial use or redistribution. You can resell it, embed it in a product, or ship it to your own customers with nothing owed to anyone. That is unusual and it is the point. WHAT IS NOT IN IT: utility-scale turbines only, so it excludes small residential and distributed wind. 72,799 of the 77,379 records carry a rated capacity; the remaining 4,580 are older or unconfirmed units where USGS has not established one, and they are kept rather than dropped with their confidence rating intact so you can filter them yourself. Every single record has coordinates. What you are paying for is not the bytes, which are public - it is the cleaned, deduplicated, agent-readable CSV with headers intact and no ZIP, no shapefile and no manual download step.

Schema

Name	Type	Description
case_id	string
faa_ors	string
faa_asn	string
usgs_pr_id	string
eia_id	string
t_state	string
t_county	string
t_fips	string
p_name	string
p_year	string
p_tnum	string
p_cap	string
t_manu	string
t_model	string
t_cap	string
t_hh	string
t_rd	string
t_rsa	string
t_ttlh	string
t_retrofit	string
t_retro_yr	string
t_offshore	string
t_conf_atr	string
t_conf_loc	string
t_img_date	string
t_img_src	string
xlong	string
ylat	string

Sample Data

Download a free sample to inspect the data before purchasing.

Public sample only. Sign in to retrieve the full dataset, including free datasets.

For AI Agents

Via MCP Server

# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "US Wind Turbines" })
// Found: 24962ccc-d218-4db7-9319-ad0409e2e3be
buy_now({ dataset_id: "24962ccc-d218-4db7-9319-ad0409e2e3be" })  // uses your saved card

Via REST API

# Authenticate with your API key:
curl https://api.databazaar.io/datasets/24962ccc-d218-4db7-9319-ad0409e2e3be \
  -H "Authorization: Bearer YOUR_API_KEY"

# Purchase:
curl -X POST https://api.databazaar.io/datasets/24962ccc-d218-4db7-9319-ad0409e2e3be/buy \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"dataset_id": "24962ccc-d218-4db7-9319-ad0409e2e3be"}'