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#1 Federal

Economic subareas of interest data for areas containing concentrated damage resulting from the April 18, 2018, HayWired earthquake scenario in the San Francisco Bay region, California

Organization: Department of the Interior
Dataset Last Updated: August 18, 2020 at 12:00 AM

The data in this data release are comprised of one geospatial vector dataset and three tabular datasets related to the HayWired earthquake scenario, a magnitude 7.0 earthquake hypothesized to...

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Search relevance: 1.00 | Views last month: 15 | Catalog Last Checked: May 05, 2026 at 07:59 PM

#2 Federal

Results of individual lifeline exposure to hazards resulting from the HayWired scenario earthquake sequence for counties and cities in the San Francisco Bay area, California

Organization: Department of the Interior
Dataset Last Updated: August 18, 2020 at 12:00 AM

These data are a summary of modeled exposure of various lifeline infrastructure linear features and facilities (transportation, water supply and wastewater, oil and gas, electric power, and...

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Search relevance: 1.00 | Views last month: 12 | Catalog Last Checked: May 05, 2026 at 09:25 PM

#3 Federal

Results of collocated lifeline exposure to hazards resulting from the April 18, 2018, HayWired earthquake scenario for counties and cities in the San Francisco Bay area, California

Organization: Department of the Interior
Dataset Last Updated: August 18, 2020 at 12:00 AM

These data are a compilation of potential collocations between various lifeline infrastructure systems (transportation, water supply and wastewater, oil and gas, electric power, and...

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Search relevance: 1.00 | Views last month: 10 | Catalog Last Checked: May 05, 2026 at 10:06 PM

#4 Federal

Multi-hazard exposure intensity as a result of HayWired earthquake scenario mainshock (April 18, 2018) surface offset, ground shaking, landslide, liquefaction, and fire following hazards in the San Francisco Bay area, California

Organization: Department of the Interior
Dataset Last Updated: August 18, 2020 at 12:00 AM

These data are a geospatial representation of potential multi-hazard exposure intensity for the HayWired earthquake scenario mainshock, a magnitude 7.0 earthquake occurring on the Hayward Fault on...

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Search relevance: 1.00 | Views last month: 6 | Catalog Last Checked: May 05, 2026 at 09:26 PM

#5 Federal

Results of individual and collocated lifeline exposure to hazards (and associated hazard and multi-hazard exposure surface data) resulting from the HayWired scenario earthquake sequence for counties and cities in the San Francisco Bay area, California

Organization: Department of the Interior
Dataset Last Updated: August 18, 2020 at 12:00 AM

These data are a summary of modeled exposure of various lifeline infrastructure linear features and facilities (transportation, water supply and wastewater, oil and gas, electric power, and...

xml
xml

Search relevance: 1.00 | Views last month: 6 | Catalog Last Checked: May 05, 2026 at 07:50 PM

#6 Federal

Estimated geospatial and tabular damages and vulnerable population distributions resulting from exposure to multiple hazards by the M7.0 HayWired scenario on April 18, 2018, for 17 counties in the San Francisco Bay region, California

Organization: Department of the Interior
Dataset Last Updated: August 18, 2020 at 12:00 AM

This data release is comprised of geospatial and tabular data developed for the HayWired communities at risk analysis. The HayWired earthquake scenario is a magnitude 7.0 earthquake hypothesized...

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xml

Search relevance: 1.00 | Views last month: 5 | Catalog Last Checked: May 05, 2026 at 10:20 PM

#7 Federal

Fire following the Mw 7.0 HayWired earthquake scenario

Organization: Department of the Interior
Dataset Last Updated: August 01, 2022 at 12:00 AM

These data are a geospatial representation of potential damage resulting from fires following the HayWired earthquake scenario, a magnitude 7.0 earthquake occurring on the Hayward Fault on April...

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xml

Search relevance: 1.00 | Views last month: 4 | Catalog Last Checked: May 05, 2026 at 07:58 PM

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