Alternative data datasets
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Consolidated and enhanced real estate parcel data available natively within the Snowflake environment.
Quantitative financial fundamentals along with associated key performance indicators.
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Quality-controlled hourly weather measurements from every Dutch station from 1951 onward, refreshed each day.
Cardholder spending information from a non-traditional panel, broken down by geography and merchant category.
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Source material for developing or refining language models aimed at answering questions about past public health issues, disease patterns, and the history of medicine.
Materials on public health, sanitation, and disease patterns in Canada during the early 1900s.
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.
A collection of financial reporting from the early 1900s spanning 1902 through 1930.
Curated historical clinical text that has been cleaned and checked for bias to support better model reasoning and factual grounding.
Authorized UK Air Ministry publication containing meteorological, climatological, and oceanographic records.
Documentation covering the historical emergence of pharmacy as a recognized profession.
Longest continuously published aeronautical periodical still in circulation.
Globally recognized peer-reviewed medical publication of the highest standing.
The oldest medical periodical still in circulation across the United States has been prepared for modern artificial intelligence use cases.
Continuously built knowledge graph indexing over thirty billion entities such as firms, offerings and individuals, accompanied by APIs that parse arbitrary web pages into structured JSON.
Consolidated business profiles incorporating information technology expenditure, executive personnel changes, strategic indicators, and technology infrastructure.
Labor market analytics covering talent availability, employer needs, compensation, abilities, demographic composition, geographic movement, and recruitment patterns segmented by occupation and area.
Weather and crop-management information designed to support planting decisions for farmers and commodity market participants.
Transactional records stored on the Arbitrum blockchain.
Block-level records from the Avalanche distributed ledger.
A dataset of Bitcoin blockchain information.
On-chain records and analytics for the BNB blockchain network.
Network data sourced from the Celo distributed ledger.
Records derived from the Ethereum blockchain.
Records from the Fantom blockchain network are accessible within this dataset.
Transactional records from the Goerli test network.
Dataset documenting activity and records on the Polygon blockchain.
On-chain data captured from the Zora blockchain network.
DartLab 데이터 종목코드 하나로 읽는 한국 DART + 미국 SEC EDGAR 공시 데이터 Structured Korean (DART) and US (SEC EDGAR) disclosure data, ready as Parquet. 무엇인가요? DartLab이 한국 DART 전자공시와 미국 SEC EDGAR 공시를 종목코드 하나로 비교 가능한 표로 가공해 Parquet으로 올려둔 데이터셋입니다. 한국 전 상장사(약 2,700사)와 미국 주요 상장사(약 1,000사)의 재무제표, 사업보고서 본문, 정형 공시, 주가, 거시지표가 들어 있습니다. 이 데이터셋은 DartLab의 데이터 층입니다. dartlab.Company("005930")을 호출하면 라이브러리가 필요한 parquet을 여기서 자동으로 내려받
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "fps": 20, "features": { "observation.images.image": { "dtype": "video", "shape": [ 256, 256, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height":… See the full description on the dataset page: https://huggingface.co/datasets/edgarcancinoe/water_pour.
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "fps": 20, "features": { "observation.images.image": { "dtype": "video", "shape": [ 256, 256, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height":… See the full description on the dataset page: https://huggingface.co/datasets/edgarcancinoe/water_pour_dart.
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "fps": 20, "features": { "observation.images.image": { "dtype": "video", "shape": [ 256, 256, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height":… See the full description on the dataset page: https://huggingface.co/datasets/edgarcancinoe/water_pour_dart_xl.
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v2.1", "robot_type": "so101_follower", "total_episodes": 709, "total_frames": 187905, "total_tasks": 1, "total_videos": 1418, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:709" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path
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This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v2.1", "robot_type": "so101_follower", "total_episodes": 9, "total_frames": 18900, "total_tasks": 1, "total_videos": 18, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:9" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path":… See
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v2.1", "robot_type": "so101_follower", "total_episodes": 161, "total_frames": 42852, "total_tasks": 1, "total_videos": 322, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:161" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path":
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Standardized reference structures for United States Postal Service ZIP codes.
Weekly allocation data is tracked across thousands of mutual funds and ETFs.
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Exchange-traded products listed on U.S. financial markets.
Information that guides drug indication selection by quantifying addressable market size and opportunity.
Evaluation of a candidate product's primary attributes including therapeutic use, underlying technology, and biological mechanism.
End-of-day pricing information for securities traded worldwide.
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