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Stock prices, cryptocurrency, macroeconomic indicators, credit data, financial statements
12,118 datasets
A dataset from a randomized field experiment analyzing the effects of reminders and feedback on gym attendance. The study was conducted by Mattia Nardotto of KU Leuven. It shows that simple weekly reminders can substantially increase physical exercise levels.
Data supporting a study on over-crediting and additionality in forest carbon projects. The dataset includes a spreadsheet of certified VERRA results for various projects used in the analysis. It was created by Tom Swinfield at the University of Cambridge.
Programs and data accompany the American Economic Journal: Macroeconomics article 'Optimal Inflation Target in an Economy with Menu Costs and a Zero Lower Bound'. The materials were created by Andrés Blanco Blanco of the University of Michigan. They likely contain the numerical simulations and calibration data used to derive the paper's central findings.
Massenkommunikation 1995 is a survey dataset from Frankfurt Ard covering media equipment, usage habits, and time budgets in German households. The description details topics including household media technology, detailed 24-hour time-use diaries, attitudes towards media credibility, political interest, and early adoption of new media like computers and the internet. Demographic variables include age, education, income, household composition, and federal state.
Stockton-on-Tees Borough Council maintains a register of brownfield land considered appropriate for residential development. The register provides up-to-date and consistent information on sites, split into two parts: all suitable sites and those granted permission in principle. It is published as open data to offer transparent information about available land.
Synthetically generated Indian business bank statements with realistic transaction patterns and India-specific features. The dataset, curated by AgamiAI Inc., includes data in English and Hindi (romanized) and is available in scanned PDF and digital JSON formats. It was last updated on 2026-07-08 and is licensed under Apache 2.0.
Year-over-year percentage change in the fishery beach price measures stability in market prices paid to fishers. The Australian Ocean Data Network provides this metric, which was last updated on July 10, 2026. This data likely tracks annual fluctuations in the primary income for Australian fishing operations.
37 monthly regional records simulate pawn lending market conditions across New York under a holiday liquidity spike scenario. This synthetic dataset, created by gene fur and versioned on 2026-04-18, models indicators like consumer stress, loan demand, and default rates. It is designed for research and modeling, containing no real customer-level data.
Large barchan-shaped sand deposits in the northwest Torres Strait exhibit characteristics of both subaerial dunes and subaqueous sand banks. Satellite imagery indicates these deposits migrate 10-15 meters west per year and shed sediment from their horns. The data is provided by the Australian Ocean Data Network and was last updated in June 2026.
Distinctive Land Surface Area is a polygon feature class defining Distinctive Land Surface features of discrete extent for New South Wales. Data includes features such as Intertidal Flats, which are parts of an estuary or sea bed exposed between Mean High Water and the approximate lowest tide. The dataset is provided by Spatial Services, a business unit of the Department of Customer Service NSW, and aligns with the national GDA2020 spatial reference standard.
Recycling bank locations in the London Borough of Lambeth, detailing what materials can be recycled at each site. The dataset is provided by the London Borough of Lambeth and was last updated on 2026-07-08. It is available in multiple geospatial and tabular formats, including CSV, GeoJSON, and ESRI REST.
London Borough of Lambeth provides the geospatial boundary for Brixton Indoor Market. The data is defined by the 2015 proposals map and was last updated on 2026-07-08. It is available in multiple formats including CSV, GEOJSON, KML, ZIP, and ESRI REST.
Canadian data on projects funded by the Zero Emission Vehicle Infrastructure Program (ZEVIP), Electric Vehicle and Alternative Fuel Infrastructure Deployment Initiative (EVAFIDI), and the Charging and Hydrogen Refuelling Infrastructure Initiative (CHRI). The dataset includes project details such as location, charger count, promoter name, and status, derived from program databases. It is published by Natural Resources Canada and was last updated on 2026-05-26.
A 1.4 KB dataset uploaded by Nguyen Linh on May 3, 2026, containing financial metrics for Kaspi (NASDAQ: KSPI). The description focuses on the company's 2026 dividend yield of 10%, a payout ratio of 64%, and management's growth estimates. This appears to be a small, focused collection of key figures for the Kazakh financial technology company.
1,000 elite reasoning sequences distilled from the Fable 5 model. The dataset is authored by mfielding92 and was last updated on July 17, 2026. It is designed to inject frontier intelligence into smaller, high-performance models.
874.8 KB of code and data accompanies a paper developing an Algorithmic Capital Asset Pricing Model (CAPM). The simulation framework includes 500 assets, 200 investors, and 20 AI algorithms to study equilibrium pricing under AI-driven portfolio delegation. Authored by hanzun li and last updated on 2026-05-28, the dataset provides a benchmark for testing how algorithmic signals reshape factor pricing.
A register of tourist associations, whose activities are defined by Article 47(3) of the Tourism Act. The data is provided by the Data Department of the State e-Government Agency via the eu_open_data platform. The specific number of records and date of last update are not provided.
422,170 UK Biobank individuals were analyzed for multi-allelic copy number variation (mCNV) associations with disease. The study robustly typed 69 mCNVs from whole exome sequences across discovery and replication sets, identifying 173 mCNV-phenotype associations. This dataset, authored by Ed Hollox and last updated in May 2026, contains the results of this PheWAS analysis.
A dataset likely contains analysis of left-tail risk spillovers across nine developed real estate investment trust markets. It was created by Ziqing Lin and focuses on two systemic shock regimes: the COVID-19 pandemic and Sino–US Trade Frictions. The dataset was last updated on May 18, 2026.
A national credit market study by Monique de Abreu Azevedo analyzes concentration and competition between 2000 and 2019. The work uses the Herfindahl-Hirschman and Five Major Concentration Ratio indexes to measure concentration and Lerner's econometric model to estimate competition. Results suggest increased concentration did not harm competitiveness, highlighting the role of regulation and credit unions.