Alternative data datasets
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Observer Apex User Experience Management and Traffic Forensics
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Daily updates covering the entire historical record of more than 250,000 Federal Reserve Economic Data series such as interest rates, inflation, economic growth, employment, and credit metrics.
A Europe-based SAR satellite network capturing Earth imagery at 2–5 meter resolution with once-per-day worldwide coverage, supplied either as raw scenes or as processed analytic layers.
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Surface weather measurements gathered from more than 250 stations within the Met Office's land-based observation network across the United Kingdom.
Surface weather measurements gathered from 56 stations within the Met Office's marine observation network.
NASA's earth-observation archives spanning several decades, MODIS and VIIRS land products, GPM precipitation, GRACE water storage, SRTM elevation and more than a dozen mission archives, all searchable through the Earthdata Search CMR API.
Daily updated weather observations from Bureau of Meteorology stations covering the entire historical record across Australia.
The datasets contain real estate data by Properati Data
Insider Trades India
AccuWeather's top-tier forecast feeds and widely used weather observations, refreshed on a regular cadence for precision.
Transforming Earth Observation Data into Actionable Intelligence
Generation of specific raster indices tailored to your geospatial needs using open or your own custom Earth Observation data. This includes but is not limited to vegetation indices like NDVI or NDWI, urban indices for built-up area monitoring, or specialized indices for agriculture like moisture index. Specialized raster indexes could be also made for construction, or geological applications. Prov
SkyWatch HUB is an enterprise geospatial data management platform that centralizes procurement, access, and governance of Earth observation imagery across your organization. With built in spend analytics, approval workflows, and user management, HUB enables teams to maximize ROI on geospatial data investments while maintaining cost control and operational visibility.
A leak-free, chronologically ordered corpus of 8-K, 10-Q, and 10-K filings for roughly 610 present-day U.S. large-cap companies, each paired with objective forward-return labels through 2026. The release is structured as a benchmark for testing whether filing language can anticipate subsequent stock performance, with clearly separated provenance classes.
Estimated retail foot traffic built from anonymized mobile device location observations.
Full access to the Copernicus Sentinel constellation archive, Sentinel-1 SAR, Sentinel-2 optical at 10 metres, and Sentinel-3 and Sentinel-5P atmosphere products, with OpenSearch APIs and on-demand processing.
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_xl.
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_shift.
Electric Sheep Africa releases 60 quarterly observations from MDPA on hotel room occupancy for large establishments in Mauritius from 2019 through 2023, formatted as Parquet with consistent metadata.
The collection offers device identifiers categorized by lifestyle interests and the places users are observed visiting.
Dollar-based impact scores across 16 KPIs are complemented by written commentary that clarifies deviations and atypical observations.
IPO Data 2019-2026: India, US, UK & Global IPOs: findings, method and data card IPO dataset: 13,316 company IPOs from January 2019 to June 2026 across India (NSE, BSE, SME), the US, UK and 100+ countries, with issue size and exchange. Fliar Research · released October 2026 · licence CC BY-NC 4.0 How this dataset was acquired. Every row comes from the Radar API, Fliar's company-data API and MCP ser
Detection of residential proxy infrastructure with attribution to the operating provider and recency of observed activity.
A unified compilation of worldwide crude oil prices along with import, export, and net import series, blending daily and monthly observations from multiple public sources into one analytical file.
Astronomy Observations Dataset
The largest climate and weather archive on the planet: GHCN daily station observations, Global Hourly, satellite and radar archives, paleoclimatology reconstructions and ocean records, the standard ground truth for weather-driven models.
Estimated and observed fuel consumption together with carbon output figures broken down by individual flight and seat.
Daily and hourly weather observations, forecasts, and climate normals sourced from NOAA for a set of chosen cities.
A collection of climate metrics generated by observing and modeling atmospheric conditions across the United States over time.
Real-world observations gathered by a distributed workforce running structured micro-surveys: price checks, shelf-availability readings and local market conditions.
Search filings on SEC EDGAR using ticker symbols, CIK identifiers, SIC industry codes, or free-text queries, returning a single structured row per filing that includes company classification, period dates, direct links to source documents, and optional XBRL financial data. The dataset contains 2,691 rows across 27 fields, supported by 64 collector runs, with the latest observation dated 2026-08-04, and covers 771 entities, browsable at https://reapx.dev/data/sec-edgar-scraper/.
Earth-observation change detection offerings that monitor construction projects, land use shifts and infrastructure evolution across time.
Past and projected weather observations consolidated into a single, regularly refreshed resource.
An archive of commercial Earth observation imagery and custom tasking services spanning both optical and radar satellite systems.
Weather predictions, warnings, current observations from the National Weather Service along with NOAA's past climate records.
Alternative data sourced from China tracking online retail pricing and transaction levels, mobile app leaderboards, and distribution-channel observations to support consumer-sector investment views.
Hyperspectral and multispectral Earth observation analytics applied to farming and environmental assessment.
Machine-learning and imaging analytics applied to Earth observation data for environmental and infrastructure surveillance.
Zip-code-level hourly observations spanning past conditions and typical climate patterns.
ZipLime US Insider Trading Disclosures (PIT) [!CAUTION] Use knowledge_date, not transaction_date, when backtesting. transaction_date says when a trade occurred; knowledge_date says when the filing became observable through EDGAR. Using the former as the signal date introduces look-ahead bias. visible = trades.filter(pl.col("knowledge_date") <= simulation_time) This dataset normalizes corporate-ins