Alternative data datasets
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Machine learning based tools that provide explainability, stewardship analytics, and governance visibility for master data quality.
Standardized, analysis-ready information about natural perils such as earthquakes, floods, and storms for any point on the globe.
Standardized, analysis-ready meteorological information covering every location worldwide.
An AI-driven solution that automates and refines the process of matching patients to suitable clinical trials.
Daily shipping intelligence covering vessel movements, port calls, maritime traffic, tropical storm activity, port dwell times, anchorage counts, and related industry news.
Projected gains and token quantities along individual arbitrage routes for a specific point on the blockchain.
Graph structure of arbitrage loops with records indicating whether each pathway is currently live or dormant.
A registry of ERC-1155 token contracts paired with end-of-day, historical, and live on-chain cryptocurrency market data.
A registry of ERC-20 token contracts accompanied by historical, end-of-day, and real-time on-chain cryptocurrency data.
A registry of on-chain NFT collections supported by historical, end-of-day, and live blockchain cryptocurrency data.
On-chain flash loan transactions documenting borrowing and repayment activity from Uniswap-style pools and Balancer Vaults.
End-to-end EVM call-trace breakdown including internal Ethereum transfers, available historically, at end-of-day, and in real time.
Tick-level US dollar total value locked for each automated market maker pool, calculated using on-chain reserves and BlockDB price feeds.
Automated market maker pool fee parameters, covering historical, end-of-day, and live blockchain cryptocurrency records.
Snapshots of automated market maker reserves recorded on-chain, covering historical, end-of-day, and live blockchain cryptocurrency records.
Per-swap fee accounting derived from on-chain data, covering historical, end-of-day, and live blockchain cryptocurrency records.
A registry of automated market maker pools, covering historical, end-of-day, and live blockchain cryptocurrency records.
Standardized block header information for EVM-compatible networks, accompanied by cryptographic proof of validity, available historically, at end-of-day, and in real time.
Complete event log output from smart contracts operating on ten distinct EVM networks, validated through RLP decoding, with historical, end-of-day, and live availability.
Complete EVM blockchain transaction records including gas usage, calldata payloads, and EIP-1559 specific attributes, available as historical archives, end-of-day snapshots, and live streams.
Versioned blockchain output records containing token attributes and oracle readings, available historically, at end of day, and in real time.
Registry tracking all smart contract deployments using CREATE and CREATE2, available historically, end-of-day, and in real time.
Token transfer records covering ERC-20, ERC-721, ERC-1155, and internal transactions, with historical, end-of-day, and live blockchain feeds.
Dollar-denominated volume-weighted average prices computed over fixed time intervals using stablecoin-anchored cross-pool token swap rates.
Price bar data at intervals from one minute to one day, built from automated market maker trade events and aligned across EVM networks.
Trade-level execution prices from on-chain swaps including notional amounts and provenance, available historically, daily, and in real time.
Volume-weighted average crypto prices derived from automated market maker trades, provided across timeframes ranging from one minute to one day.
A Snowflake-native solution that converts patient records into population health indicators, quality reporting measures, and AI-generated clinical intelligence.
Enterprise digital assistant that connects with internal data systems to surface insights for improved decision-making.
A multilingual collection comprising over one million Italian dialogue exchanges, ten thousand audio clips, six thousand images, and roughly two thousand five hundred verified retail purchases, refreshed each month.
A labeled corpus used to teach machine learning models how to detect sentiment and emotional cues in written language.
A publication covering the field of orthodontics and dentofacial orthopedics.
A curated, well-organized collection of documents formatted for straightforward ingestion into retrieval-augmented generation systems.
Content structured to serve as a retrieval-augmented knowledge foundation for a domain-specific research tool.
Source material for developing or refining language models aimed at answering questions about past public health issues, disease patterns, and the history of medicine.
A collection examining surgical practice during a period of technological and medical advancement.
Records documenting medical practices and treatments at the height of the Victorian period.
Materials on public health, sanitation, and disease patterns in Canada during the early 1900s.
A leading Canadian medical publication covering the years 1911 through 1930.
A prominent trade publication serving pharmacists across the United Kingdom.
A curated collection drawn from five leading dental journals, comprising 95,763 processed rows prepared for machine learning, with bias reviews and source lineage documentation.
Curated training corpus with an AI Readiness Score of 84 out of 100, positioned for regulated industry model development.
A 1912 publication, Volume 1 Number 6, featuring financial journalism from the early twentieth century.
A collection of financial reporting from the early 1900s spanning 1902 through 1930.
Foundational editions of a historic American business publication from its earliest years.
Pre-1930 textual material on genetics and inheritance that has been cleaned and formatted for machine learning use.
A vetted pool of roughly seven hundred thousand articles drawn from six flagship periodicals, supplied as Regulation Ready AI training material with documented provenance and bias review.
A curated corpus optimized for retrieval-augmented generation systems and semantic similarity queries.
Organized text collection well suited for retrieval-augmented generation, longitudinal language modeling, and dialogue-based data exploration.
Curated and audited corpus drawing from two leading obstetrics and gynecology journals, formatted for artificial intelligence workflows.
Curated historical clinical text that has been cleaned and checked for bias to support better model reasoning and factual grounding.
A leading peer-reviewed publication focused on otolaryngology, covering ear, nose, and throat clinical practice.
Structured corpus optimized for retrieval-augmented generation and semantic similarity tasks, featuring duplicate removal, complete data fields, and substantial record counts.
Refined surgical records with documented bias review, released under public domain terms and available through a 30-day evaluation access.
Ready-to-use collection suited for retrieval-augmented question answering on historical medical topics.
Dataset focused on early-stage multiple sclerosis studies and clinical neurology.
Well-suited for embedding-based search and retrieval-augmented generation across a unified historical text collection.
Useful for retrieval-augmented legal history analysis, similarity-based search, and pretraining language models specialized in legal text.
A historical archive focused on medical and surgical practices from 1847 through 1898 during the Civil War era.
The inaugural issue of what is considered the earliest medical journal published in America, dated 1797.