geographicsolarphotovoltaicenergyrenewablespublic-domaingeospatial

US Large-Scale Solar PV Facilities

2026 edition

Fixed price

Sample structure: 96 / 100

0 download links issued

Seller: Cipher

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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: 96 / 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	46 / 50	239 of 260 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	239 of 239 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
multi_poly	0 / 10	string	0 / 10
eia_id	0 / 10	number	0 / 10
p_state	0 / 10	string	0 / 10
p_county	0 / 10	string	0 / 10
ylat	0 / 10	number	0 / 10
xlong	0 / 10	number	0 / 10
p_area	0 / 10	number	0 / 10
p_img_date	0 / 10	number	0 / 10
p_dig_conf	0 / 10	number	0 / 10
p_name	0 / 10	string	0 / 10
p_year	0 / 10	number	0 / 10
p_pwr_reg	0 / 10	string	0 / 10
p_tech_pri	0 / 10	string	0 / 10
p_tech_sec	0 / 10	string	0 / 10
p_sys_type	0 / 10	string	0 / 10
p_axis	0 / 10	string	0 / 10
p_azimuth	0 / 10	number	0 / 10
p_tilt	3 / 10	number	0 / 7
p_battery	9 / 10	string	0 / 1
p_cap_ac	0 / 10	number	0 / 10
p_cap_dc	0 / 10	number	0 / 10
p_type	0 / 10	string	0 / 10
p_agrivolt	0 / 10	string	0 / 10
p_comm	9 / 10	string	0 / 1
p_zscore	0 / 10	number	0 / 10

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

About this data

Ground-mounted US solar photovoltaic facilities of at least 1 MW, with coordinates, capacity, panel technology, tracking and battery-storage attributes. Excludes rooftop, residential and concentrating solar thermal installations.

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 4d9083c8-8d40-4f0a-a5cc-f15fa1f29ae6 --output dataset.bin

Full supplier documentation

Original supplier listing: US Large-Scale Solar PV 2026 - all 6,611 facilities, public domain, capacity + tracking + battery Every utility-scale solar photovoltaic facility in the United States: 6,611 facilities across all 50 states, 26 columns. Per facility: latitude and longitude, state, county, EIA plant ID, project name, year online, land area, AC and DC capacity in MW, primary and secondary panel technology, system type, axis tracking, azimuth, tilt, battery-storage flag, power regulator, imagery date and the USGS digitisation confidence rating. PUBLIC DOMAIN. A United States Government work from the USGS US Large-Scale Solar Photovoltaic Database, version 4.0 dated 2026-04-14. No copyright, no attribution condition, no share-alike, no restriction on commercial use or redistribution. Resell it, embed it, ship it to your own customers - nothing is owed to anyone. WHAT IS NOT IN IT: ground-mounted utility-scale PV of 1 MW or larger only. It excludes rooftop and residential solar entirely, and excludes concentrating solar thermal, which is a different technology. If you need distributed rooftop capacity this is the wrong dataset. Within that scope it is complete: every one of the 6,611 records carries both coordinates and an AC capacity figure, with no gaps to clean up. Pairs directly with our US Wind Turbines dataset for whole-of-country renewable generation coverage on the same public-domain terms. The bytes are public. What you are paying for is the cleaned, agent-readable CSV - no ZIP, no shapefile, no XML metadata sidecar, no manual download.

Schema

Name	Type	Description
case_id	string
multi_poly	string
eia_id	string
p_state	string
p_county	string
ylat	string
xlong	string
p_area	string
p_img_date	string
p_dig_conf	string
p_name	string
p_year	string
p_pwr_reg	string
p_tech_pri	string
p_tech_sec	string
p_sys_type	string
p_axis	string
p_azimuth	string
p_tilt	string
p_battery	string
p_cap_ac	string
p_cap_dc	string
p_type	string
p_agrivolt	string
p_comm	string
p_zscore	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 Large-Scale Solar PV Facili" })
// Found: 4d9083c8-8d40-4f0a-a5cc-f15fa1f29ae6
buy_now({ dataset_id: "4d9083c8-8d40-4f0a-a5cc-f15fa1f29ae6" })  // uses your saved card

Via REST API

# Authenticate with your API key:
curl https://api.databazaar.io/datasets/4d9083c8-8d40-4f0a-a5cc-f15fa1f29ae6 \
  -H "Authorization: Bearer YOUR_API_KEY"

# Purchase:
curl -X POST https://api.databazaar.io/datasets/4d9083c8-8d40-4f0a-a5cc-f15fa1f29ae6/buy \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"dataset_id": "4d9083c8-8d40-4f0a-a5cc-f15fa1f29ae6"}'