---
pretty_name: "Wind and Solar Candidate Project Areas, v2 (Mirror)"
tags:
  - geospatial
  - renewable-energy
  - solar-energy
  - wind-energy
  - polygons
  - energy
  - climate
license: cc-by-4.0
configs:
  - config_name: solar_candidate_project_area_base
    data_files:
      - split: train
        path: data/SolarCandidateProjectAreaBase/*.parquet
  - config_name: solar_candidate_project_area_constrained
    data_files:
      - split: train
        path: data/SolarCandidateProjectAreaConstrained/*.parquet
  - config_name: wind_candidate_project_area_base
    data_files:
      - split: train
        path: data/WindCandidateProjectAreaBase/*.parquet
  - config_name: wind_candidate_project_area_constrained
    data_files:
      - split: train
        path: data/WindCandidateProjectAreaConstrained/*.parquet
  - config_name: offshore_wind_candidate_project_area_base
    data_files:
      - split: train
        path: data/OffshoreWindCandidateProjectAreaBase/*.parquet
---

# Mirror: Wind and Solar Candidate Project Areas, v2

A mirror of the polygon-containing file from Princeton University's **Wind and Solar Candidate Project Areas for Princeton Net Zero America Study (v2)** dataset.

## Contents

The original File Geodatabase archive has been expanded and converted into directly previewable GeoParquet files. Each source layer is exposed as its own Hugging Face dataset configuration, sharded under `data/<layer>/part-*.parquet`:

- `SolarCandidateProjectAreaBase`
- `SolarCandidateProjectAreaConstrained`
- `WindCandidateProjectAreaBase`
- `WindCandidateProjectAreaConstrained`
- `OffshoreWindCandidateProjectAreaBase`

Each layer contains candidate project-area geometries and modeled attributes including area, nameplate capacity (`incap`), annual generation (`egen`), capacity factor (`m_cf`), and simplified LCOE (`LCOE_simp`). The original data use NAD 1983 Albers projection.

## Provenance

- Original dataset: [Princeton Net-Zero America Candidate Project Areas, v2](https://doi.org/10.5281/zenodo.4633707)
- Original file: `FinalCandidateProjectAreas-fgdb.zip`
- Original publication date: 2021-03-25
- Original license: [Creative Commons Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/)
- Original Zenodo file MD5: `f35f6088fdcbe024e396cb1cd9b9077f`

This is a redistribution mirror, not a new analysis. The candidate areas are scenario-based suitability outputs; they are not guaranteed project sites, legal parcels, or current facility footprints.