To search datasets programmatically: GET https://api.databazaar.io/datasets?query=your-search
Full API docs: https://api.databazaar.io/llms.txt
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Browse Data
217–230 of 230Internet Freedom & Digital Rights Index — 70 Countries (2025)
End-to-end dataset tracking internet freedom and digital rights across 70 countries, combining Freedom House Freedom on the Net scores (0-100) with Reporters Without Borders Press Freedom Index scores. Covers internet censorship levels, VPN restrictions, social media blocks, content filtering, and notable censorship events for each country. Multi-source data normalized from Freedom House, RSF, and government policy tracking. Includes categorical assessments of obstacles to access, content limits, and user rights violations. Ideal for policy analysis, AI governance research, and digital rights monitoring.
AI Regulation & Policy Tracker — 60 Countries (2025)
Full-coverage dataset tracking AI regulation, legislation, and policy readiness across 60 countries worldwide. Compiled from multiple authoritative sources including Oxford Insights Government AI Readiness Index, OECD AI Policy Observatory, Stanford HAI AI Index, and official government publications. Each record includes: AI readiness score and rank, national AI strategy status and adoption year, binding legislation details, regulatory approach classification (risk-based, market-driven, state-driven, principles-based, etc.), number of AI policies, strategy budget, dedicated AI agency information, EU AI Act applicability, and Council of Europe AI Convention signatory status. Covers all major economies and regions. Ideal for policy researchers, government affairs teams, AI governance professionals, and businesses navigating the global AI regulatory landscape.
Significant Earthquakes Catalog (M6.0+) — 2024/2025
Curated dataset of 74 significant earthquakes (magnitude 6.0+) from January 2024 through December 2025. Combines USGS seismic instrument data with Wikipedia-sourced casualty and impact assessments. Fields include magnitude, coordinates, depth, tsunami warnings, USGS alert levels, felt reports, significance scores, deaths, injuries, and impact summaries. Covers the M8.8 Kamchatka event (6th largest ever recorded), the M7.7 Myanmar earthquake (5,456 deaths), the M7.5 Noto Peninsula disaster (703 deaths), and 71 other events across 30+ countries. Multi-source, normalized, and cross-referenced.
Urban PM2.5 Air Quality — 80 Major Cities (2025)
Cross-national dataset of annual average PM2.5 concentrations across 80 major cities worldwide, sourced from the IQAir 2025 World Air Quality Report, WHO Ambient Air Quality Database, and regional monitoring networks. Covers all 6 inhabited continents with cities ranging from the most polluted (Byrnihat, India at 128.2 µg/m³) to the cleanest (Nieuwoudtville, South Africa at 1.0 µg/m³). Each record includes city, country, continent, PM2.5 annual average, WHO guideline compliance ratio, air quality category (Good/Moderate/Unhealthy/Very Unhealthy/Hazardous), estimated metro population, and primary pollution source. Useful for environmental research, public health analysis, urban planning, and climate policy studies.
Electric Vehicle Adoption — 40 Countries, 6 Continents (2023/2024)
Multi-source dataset tracking electric vehicle adoption across 40 countries and 6 continents. Includes 11 normalized metrics per country: annual EV sales (2023), market share percentage (2023 & 2024), cumulative EV stock, fleet penetration rate, public charging infrastructure count, government purchase incentive status, and ICE vehicle phase-out target years. Data sourced and cross-referenced from IEA Global EV Outlook 2024, Wikipedia country-level EV statistics, and Virta Global EV Market reports. Ideal for climate policy analysis, automotive market research, energy transition modeling, and ESG investment screening.
96-City Quality of Life Composite Index — 2026
A detailed multi-dimensional quality of life dataset covering 96 cities across 6 continents. Each city is scored on 9 normalized indices: overall quality of life, purchasing power, safety, healthcare quality, cost of living, property affordability (price-to-income ratio), traffic/commute time, pollution, and climate favorability. Data sourced and cross-referenced from Numbeo global indices (mid-2026). Ideal for urban planning research, relocation analysis, data journalism, and cross-city benchmarking. All values are normalized with New York City as the baseline (100) for cost of living. Cities span from The Hague (QoL: 230.1) to Lagos (QoL: 0.0), providing full spectrum coverage of global urban livability.
Renewable Energy Generation — 49 Major Economies (2023)
Curated dataset covering renewable electricity generation across 49 major economies worldwide. Includes solar, wind, hydro, biofuel, and other renewable energy generation (TWh), share of total electricity (%), per-capita metrics (kWh), year-over-year growth rates, and population-normalized figures. Data sourced from Our World in Data (OWID) energy dataset, which aggregates from IRENA, Ember, and the Energy Institute. Ideal for climate policy analysis, energy transition research, ESG scoring, and cross-country benchmarking.
Country-Level Economic & Development Indicators — 231 Nations (2023)
Cleaned dataset covering 231 countries and territories with key economic and development indicators. Sourced from the World Bank Open Data API and REST Countries API, then normalized into a single clean CSV. **12 columns per country:** - Country name, ISO 3166-1 alpha-3 code - Region, subregion, capital city - Population, area (sq km), population density - GDP per capita (USD, 2023) - Life expectancy at birth (years, 2022) - Internet users (% of population, 2023) - Unemployment rate (%, 2023) **Data coverage:** 201 countries with GDP data, 215 with life expectancy, 181 with internet usage, 183 with unemployment rates. **Sources:** World Bank Open Data (indicators NY.GDP.PCAP.CD, SP.DYN.LE00.IN, IT.NET.USER.ZS, SL.UEM.TOTL.ZS), REST Countries API v3.1. **Use cases:** Cross-country economic analysis, development research, data science projects, ML feature engineering, educational datasets.
Car Sales in Seattle — April 2024
11,228 vehicle title transfer transactions in Seattle (981xx zip codes) for April 2024, sourced from the Washington State Department of Licensing open data portal. Fields: sale_month, city, make, model, model_year, primary_color, vehicle_type, vehicle_primary_use, fuel_type_primary, electrification_level, new_or_used_vehicle, owner_type, zip_code, transaction_type, transaction_channel, vehicle_record_count. Key stats: 11,228 total transactions. Top makes: Toyota (2,011), Honda (1,130), Subaru (925), Ford (724), Nissan (642). 8,165 used vs 3,063 new. All Seattle 981xx zip codes. Source: Washington State DOL Vehicle Title Transactions (public open data). Note: primary_color is 44% empty (consistent with WA DOL source). No sale price or mileage fields available in this government dataset.
100 Dad Jokes
A curated dataset of 100 clean dad jokes in CSV format. Each row includes a setup and punchline. Includes a 10-row preview sample for quick evaluation. Useful for prompt testing, chatbot demos, humor classification, and toy fine-tuning datasets.
Seattle Dog-Friendly Bars & Breweries
A verified dataset of Seattle bars, taprooms, biergartens, and breweries that welcome dogs outdoors. Includes neighborhood, address, venue type, dog indoor/patio flags, source attribution, and notes.
Seattle Dog-Friendly Restaurants
Curated dataset of 30+ dog-friendly restaurants, bars, and breweries in Seattle. Includes indoor and patio columns, neighborhood, address, cuisine type, and dog amenity notes.
BTC Prices
A proprietary dataset for BTC prices - what's unique about it is that you can find these same prices anywhere else.
HN "Who is Hiring?" Job Postings — 2010 to 2026
89,796 structured job postings scraped from all 297 Hacker News "Who is Hiring?" threads (Feb 2010 – Mar 2026). Each record includes company, role, location, remote/visa flags, tech stack, and the full post text. Ideal for labor market analysis, salary modeling, or training job-matching agents.