Alternative data datasets
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A free forward catalyst calendar for clinical-stage biotech assets
US patent full text assembled by the Allen Institute from the USPTO, millions of records under ODC-BY: claims, abstracts, descriptions and metadata, in Parquet. A broad base for measuring IP intensity, technology landscapes and the direction of R&D spending.
Precision Agriculture Sensor Logs, Environmental Factors & Crop Yield Data.
A free forward catalyst calendar for clinical-stage biotech assets
A collection of broad leaved dock images for weed sprayer
Metadata for hundreds of thousands of clinical trials in English, French and Spanish, structured in Parquet with study-level fields such as phase, condition, sponsor and status (Apache 2.0). Trial starts and phase transitions lead clinical development, so this works as an early indicator of biotech pipeline activity.
5,000 Global Clinical Trials: Drug Pipeline, Phases & Sponsors
A Machine Learning Ready Dataset for Predicting Agricultural Crop Yield Based.
Dataset for Crop Pest and Disease Detection
Data for the COVID-19 clinical trials registered in the US
Image Data set for Plant Disease detection
Sensors metrics of a bee community
Classification into bacteria, fungi, viruses, pests, healthy (balanced classes)
Collection of 15 Harmful Insects Found in Farming Environments
The us-patents dataset is a collection of ~ 8M US patent grants and applications from 1976-2025, cleaned, filtered, and formatted for pre-training of language models. Document Format corpus_id: Unique integer key with no semantic value. filing_date: The filing date of the grant or application. In case of duplicates, earliest filing date from the duplicate cluster. patent_type: The type of patent.
Collection of MRI brain scans