Work

WaterFlow: Supplementary Data

Year: 2026

Type: article

Abstract: Supplementary metadata decribing datasets used for training, evaluation, and analysis towards the development of WaterFlow.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22046932

Authors: Srivastava, Vratin, Mai, Huanghao, Wankowicz, Stephanie, Collins, Marcus

Institutions: Vanderbilt University, Astera Institute, Radial

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: green

OpenAlex ID: W7204221996

FWCI:

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