Such datasets include consumer behaviours, affiliations, personal information, recommendations, search patterns, purchase history, etc. "Submitted data" is entered knowingly via search boxes, forms, timelines or feeds in the case of Facebook or Twitter.
Both datasets include the volumes bunkered per company.
These two datasets include data from 86 countries with a 31-country overlap.
These datasets include face images with variations in pose, illumination, expressions, eyewear, and some motion blur.
The datasets include 559 samples, 362 samples of surface waters and 197 samples of WwTP effluents.
The two datasets include comparable individual-level as well as organizational-level variables.
The modeled datasets include the TMY3 dataset, the SA dataset, and the NASA SRB dataset.
Large datasets include massive volumes of data such that traditional database management systems cannot manage them.
These datasets include production, injection, idle and abandoned wells, both onshore and offshore, exploiting both conventional and unconventional reservoirs.
The compared datasets include several problems like topic and polarity classification, spam detection, user profiling and authorship attribution.
The datasets include information about the trip distance, departing moment, midway sojourn time, arriving moment, traffic conditions and so on.
