This dataset contains financial data on the price of the top 250 most liquid assets of New York Stock Exchange (NYSE) from 2006 to 2014. The dataset contains transactions,...

Financial data used to construct a bipartite network of systemically important banks and sovereign bonds.

March 2001- September 2013 quarterly data of US banks' holdings. The number of financial institutions present in the data is pretty stable during quarters, starting from...

This is a curated dataset, where the Original data are taken from European Banking Authority (EBA), who collects banks' data to perform stress-test systemic risk analysis....

This course is an introduction to data collection, data preparation & transformation and data analysis. It contains the essential concepts for a researcher in order to...

The dataset contains records of electronic services (aka X-Road services), service providers and consumers harvested in April 2014 from RIHA (https://riha.eesti.ee). The data...

This Twitter dataset covers two recent outbreaks: Ebola and Zika. About 60 million tweets were collected through a query-based access to the Twitter Streaming API, covering...

This dataset is an edgelist containing daily interbank transactions as registered in the electronic Market for Interbank Deposits (e-MID), in the period 2010--2014. e-MID is...

This dataset contains the price and volume of the 3000 stocks belonging to the Russell 3000 Index, roughly corresponding to the 3000 more capitalized stocks. Traded volume and...

A dataset storing all the meals consumed by students at the canteen of University of Pisa during a six years-long period.

This dataset contains Retail Market Data about food products, from 2007, for about 130 shops of an Italian Distribution chain. Data are of about 1 M of Active Clients, and...

Nowadays, a hot challenge for supermarket chains is to offer personalized services to their customers. Market basket prediction, i.e., supplying the customer a shopping list...

Wearable physiological monitors have become increasingly popular, often worn during people’s daily life, collecting data 24 hours a day, 7 days a week. In the last decade,...

Inferring mobile phone users' home location, i.e., assigning a location in space to a user based on data generated by the mobile phone network, is a central task in leveraging...

Our objective is to measure the Global Peace Index (GPI) at a monthly frequency, as compared to the official annual GPI score, to have more frequent updates of peacefulness....

This method describes an analytical framework to nowcast well-being by using mobility measures extracted from mobile phone data.

The non-pharmaceutical interventions (NPIs), aimed at reducing the diffusion of the COVID-19 pandemic, has dramatically influenced our behaviour in everyday life. We developed...

This method estimates the wellbeing of a country by using an alternative measure to GDP. The proposed measure is the average sophistication of the satisfiable needs of a...

Wearable devices now make it possible to record large quantities of physiological data, which can be used to obtain a clearer view of a person’s health status and behavior....

We used the mobility-emission methods (https://data.d4science.org/ctlg/ResourceCatalogue/mobility-emissions) to perform experiments on real GPS trajectories describing 433,272...