Alternative data datasets
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A screening tool linking ESG-related controversies to publicly traded firms based on incident severity and press attention.
Same-day foot-traffic estimates for retailers and REITs, built from mobile-location data into real-time economic signals.
Derived insights from pooled mobile location data sourced through consumer apps, providing foot-traffic tallies and shared-customer metrics for marketing and brand planning.
Analytical view of staffing patterns and labor movement within individual organizations.
Revelio Labs' workforce dynamics data, hiring, attrition and headcount estimates by company, distributed via BattleFin.
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An interface consolidates customer feedback from more than 70 review platforms, assigning entries to specified businesses.
EDA your way into Consumer Trends and Retail/Ecommerce evolution
Earth-observation change detection offerings that monitor construction projects, land use shifts and infrastructure evolution across time.
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Track the smart money before the market moves
Cleaned US Stock market insider trades, 3M+ rows, ready for ML & analysis
Marketplace intelligence on energy field services, including rig utilization and contractor pricing.
The ESG and Stocks data of S&P 500 Constituent Companies
GDP data of 120 countries from 1960-2020 for data visualization and analysis
Cleaned and standardized loan-level records from Fannie Mae, Freddie Mac, and Ginnie Mae covering the mortgage-backed securities market.
Cleaned and standardized loan-level records from Fannie Mae, Freddie Mac, and Ginnie Mae covering a 12-month historical window.
Hybrid offering pairing structured expert conversations with proprietary market data for business intelligence.
clinicaltrials.gov-summary_and_eligibility is a small Parquet mirror of selected ClinicalTrials.gov records, distributed on the Hugging Face Hub under the rjac publisher. It packages study identifiers, recruitment status, titles, brief summaries, and eligibility criteria into a single tidy table of roughly three thousand rows.
The datasets contain real estate data by Properati Data
CSV file contains over 2000 rows of detailed commentary on AI mentions.
From 1979 to 2015 - sources: World Bank and Bacen.
**First end-to-end UAVs-security corpus
An English-language NLP corpus of cleaned earnings call transcripts gathered from public investor-relations pages, sized between 10,000 and 100,000 documents for financial analysis and LLM work.
feather, hdf5, jay, parquet, pickle
The #RomanianDATA Tribe challenge for November 2024
Reconnaissance of the third-party services and APIs running beneath websites, surfacing vendor relationships at the network layer.
Standardized financial statement records aligned with NACE industry classifications, delivered in an analytics-friendly format with rights cleared for machine learning and artificial intelligence development.
Cross-industry financial statement data normalized to NACE codes, pre-processed for analytical use and permitted for training AI and ML models.
Standardized financial statement data aligned with NACE classifications, formatted for analytics and cleared for use in AI and machine learning model development.
NACE-aligned financial reporting records prepared for downstream analytics and authorized for use in artificial intelligence and machine learning model development.
Financial statement information standardized along the NACE taxonomy, packaged for analytical workflows and licensed to support AI and ML training activities.
Industry-coded financial statements harmonized via NACE, supplied in a form ready for analysis and cleared for artificial intelligence and machine learning purposes.
A consolidated set of NACE-mapped financial statements ready for data analysis and permitted to be used in training AI and machine learning models.
NACE-standardized financial statement data, formatted for analytics pipelines and licensed for building AI systems and machine learning algorithms.
Curated financial reporting records classified under NACE, engineered for analytical workloads and licensed for artificial intelligence and machine learning training.
Standardized financial statement data aligned with NACE classifications, formatted for analytics and cleared for use in AI and machine learning model development.
Financial statements aligned to NACE industry categories, structured for analytic consumption and approved for use in AI and ML model training.
NACE-harmonized financial statement datasets delivered in an analytics-ready state with licensing terms covering AI and machine learning model training.
Standardized financial reporting records mapped to NACE industry classifications, prepared for analytics use and cleared for machine learning applications.
Normalized financial indicators for publicly traded companies, reconciled to account for varying reporting standards.
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Satellite-derived activity indicators for sectors such as steel manufacturing, automotive plants, shipping ports and oil refineries to serve as near real-time gauges of economic performance.
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Data for the COVID-19 clinical trials registered in the US
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S&P 500 earnings call episodes from 2005 to 2025 are released as static tabular rows, each identified by a company-quarter episode identifier and containing full transcripts along with SEC press materials, suited to supervised or reinforcement-style experiments.
Travelers in Spain by tourist spots and country of residence
Recreational-vehicle industry data: monthly shipments by manufacturers, wholesale values, ownership demographics and outlook projections.