HAB-PAS

Harmful Algal Bloom Prediction & Advisory System

English · LTR

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HAB-PAS is a trilingual scientific platform for monitoring, predicting and managing toxic algal blooms — fusing in-situ sensors, satellite indices and machine-learning models against WHO advisory thresholds.

Demo accounts

Pick a role and click to sign in

Each role lets you see a different slice of the dashboard. Passwords are visible only when HABPAS_DEMO_MODE is on.

  • admin@habpas.localadmin

    Full access — system admin, settings, users

    HABPAS-admin-2026
  • researcher@habpas.localresearcher

    Run predictions, register species, ack alerts

    HABPAS-researcher-2026
  • lab@habpas.locallab_tech

    Submit samples, toxin results, qPCR + bioassay

    HABPAS-lab-2026
  • viewer@habpas.localviewer

    Read-only dashboard + map

    HABPAS-viewer-2026
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Demo mode active — use the side panel for one-click sign-in.

© 2026 HAB-PAS · ACECR × RSF-INSF