Data Collectives.

Location dataset capturing detailed movement history, visited places, travel routes, and timestamps from Google Location History, providing precise geospatial insights over time.

UNWRAPPED is your gateway to data democracy. Consumer insights data is incredible valuable, as it allows companies to predict the next fashion, music, and cultural trends. Join our DAO and have a voice in how your collective listening data is used and shared. It's time to make your music truly matter!

Automotive dataset capturing vehicle telemetry, driving behavior, location history, maintenance records, and performance metrics, sourced directly from connected cars for real-time mobility insights.

Conversational dataset capturing Telegram chat interactions, message patterns, linguistic nuances, engagement frequency, and social dynamics, reflecting real-time digital communication behaviors and conversational trends.

Trading dataset capturing token transactions, trade volumes, liquidity flows, DEX/CEX interactions, and wallet activity, ensuring transparency, security, and traceability through blockchain technology.

Dataset of Reinforcement Learning from Human Feedback (RLHF) on Bittensor-generated outputs, capturing preference rankings, corrections, and qualitative assessments to refine AI model performance and reliability.

Genetic dataset containing raw DNA sequences, SNP variations, ancestry composition, health predispositions, and trait markers, sourced from platforms like 23andMe for research and analysis.

Dataset capturing Twitter interactions, including tweets, replies, likes, retweets, follower dynamics, and engagement patterns, providing deep insights into social media behavior and trends.

Dataset capturing private Telegram chat content, including message text, timestamps, and interaction patterns, securely anonymized and aggregated to provide insights into authentic human dialogue.

Dataset capturing detailed sleep metrics, including duration, quality, sleep stages, and disturbances, sourced from personal sleep tracking devices, providing comprehensive insights into individual sleep patterns.

Biometrics dataset capturing sleep cycles, heart rate variability, resting heart rate, movement patterns, body temperature fluctuations, and continuous physiological health insights from wearable devices.

Take control of your digital identity, own your data, and shape the future of AI—all while earning real rewards.

Location dataset capturing precise geospatial movements, check-ins, travel patterns, and app interactions from Google, Instagram, and Niantic, reflecting real-world behavioral insights.

E-commerce dataset capturing Amazon purchase history, browsing behavior, product preferences, order frequency, and spending patterns, sourced directly from contributors for collective insights.

Dataset of X data, capturing real-time interactions, behavioral patterns, metadata, and user-generated signals, sourced directly from participants and structured for secure, verifiable exchange.

Investment dataset capturing portfolio allocations, trade history, risk tolerance, asset preferences, and financial decision patterns, providing granular insights into investor behavior and market sentiment.

Synthetic dataset generated through agentic processes, combining AI-created data with real user-sourced inputs, evaluated and refined by decentralized agents to enhance AI model training and accuracy.

Browsing dataset capturing website visits, engagement patterns, search queries, and online interactions, sourced through a browser extension for real-time web activity insights.

Trading dataset aggregating exclusive Binance and Coinbase order flow, execution data, liquidity metrics, and trader behavior insights, sourced directly from participant accounts for AI-driven market intelligence.

r/datadao is a community-owned data collective. Join with your reddit account, add your data, and earn points based on your karma.

Mental health dataset capturing self-reported emotional states, mood fluctuations, and psychological well-being through weekly PANAS-based assessments, creating a longitudinal record of individual affective patterns.