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ed6d185 7ed9d82 ed6d185 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 | {
"title": "Oklahoma Flood Research Dashboard",
"emoji": "🌊",
"colorFrom": "blue",
"colorTo": "cyan",
"sdk": "streamlit",
"sdk_version":app.py",
"pinned": false,
"license": "mit",
"tags": [
"flood-analysis",
"climate-research",
"oklahoma",
"tribal-nations",
"emergency-management",
"hydrology",
"data-visualization",
"scientific-research",
"indigenous-studies",
"disaster-preparedness"
],
"datasets": [
"usgs-flood-database",
"native-american-climate-study",
"oklahoma-emergency-management"
],
"models": [],
"short_description": "Advanced interactive dashboard for comprehensive flood analysis in Oklahoma counties (2015-2025), integrating USGS data, climate studies, and tribal nation reports.",
"description": "A comprehensive research dashboard analyzing flood patterns across Oklahoma counties from 2015-2025. Features multi-source data integration including USGS databases, Native American climate vulnerability studies, and tribal nation emergency reports. Provides advanced statistical analysis, interactive visualizations, and validates climate change projections showing 64-68% higher flood risks for tribal communities.",
"suggested_hardware": "cpu-basic",
"python_version": "3.9",
"base_path": "/app",
"docker": "Dockerfile",
"space_id": "oklahoma-flood-dashboard",
"duplicated_from": null,
"models_to_load_on_startup": [],
"startup_duration_timeout": 300
} |