# Harmonized geospatial data to evaluate the Electric Distribution Networks in the US Northeast

**Authors:** Bernat Salbanya, Jordi Nin, Ramon Gras Alomà

PMC · DOI: 10.1038/s41597-025-06465-9 · Scientific Data · 2025-12-19

## TL;DR

This paper introduces a harmonized geospatial dataset for electric distribution networks in the US Northeast to support energy equity and infrastructure resilience.

## Contribution

The novel contribution is a harmonized, open-access geospatial dataset of electric distribution networks in the US Northeast with high coverage and reproducible processing.

## Key findings

- The dataset includes 3,884,698 line segments with 72.46% population coverage and 84.96% geographic coverage.
- It integrates technical, spatial, and topological data from utility hosting capacity maps using a reproducible pipeline.
- The dataset enables multidimensional assessments of grid performance, sustainability, and equity.

## Abstract

Reliable, open-access data on electric distribution networks is crucial for advancing energy equity, enhancing infrastructure resilience, and informing policy evaluation. In this work, we present a harmonized geospatial dataset for the electric distribution networks in the US Northeast, covering Connecticut, Maine, Massachusetts, New Hampshire, New York, Rhode Island, and Vermont. The dataset integrates technical, spatial, and topological data extracted from utility hosting capacity maps (public GIS layers reporting feeder-level estimates of distributed energy resources) and processed using a reproducible pipeline. Our network comprises 3,884,698 line segments, achieving a population coverage of 72.46% and geographic coverage of 84.96%. By bridging complex network theory with spatial infrastructure mapping, this dataset enables a multidimensional assessment of electric grid performance, sustainability, and equity. It allows researchers and policymakers to explore the links between urban and economic development patterns, network morphology, and energy outcomes.

## Full-text entities

- **Diseases:** CRS (MESH:D003398)

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12865016/full.md

## References

19 references — full list in the complete paper: https://tomesphere.com/paper/PMC12865016/full.md

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Source: https://tomesphere.com/paper/PMC12865016