Geospatial columns (latitude/longitude, lat/lon, x/y) are detected automatically.
Geospatial dataset mapping the physical footprint of operating data centers across the United States, derived from OpenStreetMap and validated by Pacific Northwest National Laboratory's IM3 program (DOE Office of Science). Each facility record includes coordinates, building or campus footprint in square feet, and associated US county and state, with data provided in WGS84 (EPSG:4326) as point, building, and campus layers. The dataset supports facility-level analysis of where data center development is concentrated today, and pairs directly with electric substation, municipal water, and fiber infrastructure layers for siting and grid-impact analysis. Source: Mongird et al., IM3 Open Source Data Center Atlas (PNNL, DOE MultiSector Dynamics Program), Open Database License.
This dataset appears to contain information about various facilities or locations across different states in the US. It includes details such as location coordinates, property type (building or campus), and operator information.
The quality scores indicate that the dataset is generally complete (99.45%) but has some validity issues (83.22%). The uniqueness and consistency scores are perfect, suggesting that there are no duplicates and the data follows a consistent format.
1. Facility mapping and management
2. Location-based analytics and research
1. Operator information may be incomplete or inaccurate
2. Property type classification might not be universally applicable
facilities management, location data, infrastructure analysis
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