datasets
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extreme-floods-kg
📖 Dataset Summary
Floods are among the most frequent and devastating disasters worldwide, yet data describing them is often scattered across unstructured reports, geospatial sources, and satellite imagery.This dataset unifies those heterogeneous data sources into a structured, ontology-aligned Knowledge Graph (KG) format.
Each event is represented with:
Metadata: disaster type, location, date, country.
Textual Descriptions: humanitarian situation reports from ReliefWeb.… See the full description on the dataset page: https://huggingface.co/datasets/teoaivalis/extreme-floods-kg.pittsburgh_floods_street_levelThe dataset provides fine-grained spatiotemporal information on urban floods occurring inside the city of Pittsburgh, PA, USA, from 2015 to 2024 by integrating publicly available data sources. The data sources include NOAA storm events database and Pittsburgh 311 flooding requests. Each row corresponds to one segment flood event, characterized by the street segment defined by a distinct combination of "u_node", "v_node", "length_m", and time. Each flood event was mapped to the street segments… See the full description on the dataset page: https://huggingface.co/datasets/yueq92/pittsburgh_floods_street_level.