Celebrating datasets

TU Delft

"Best-worst stated preference survey on Park & Ride facility choice”

This study focused on people's preferences for park and ride facilities, which are places where you can park your car and take public transportation to your destination. The survey used a survey called ‘best’-and ‘worst’ where people choose their favourite and least favourite options from a set of choices. Participants had to choose from five different park and ride facilities with different access times, prices, travel times by public transport, types of public transportation, and frequency of service.

Dataset link

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“Balancing Wind and Batteries: Towards Predictive Verification of Smart Grids (Artifact)”

A smart power grid is an advanced power system that uses modern technologies to optimise energy generation, distribution, and consumption. In the project, the researchers are working on improving such a smart power grid that uses wind power and batteries. The research paper was also presented at the 2021 NASA Formal Methods Symposium.

Dataset link

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“Self-Cleaning Surfaces Realized by Biologically Sized Magnetic Artificial Cilia”

Magnetic artificial cilia (MAC) are tiny machines that work like natural cilia found in living things. They can move liquids and take away small particles in tiny devices called microfluidic chips. But the current MAC used for cleaning is too big for small devices. In their research - scientists made a new version called biologically-sized magnetic artificial cilia (b-MAC) that are smaller and spread out randomly on a surface. They tested how well b-MAC can clean particles of different sizes and found that it works best at high frequency (40 Hz). Even though the b-MAC are randomly placed, they still clean well and are even better than regular MAC. This new technology is useful for keeping tiny devices clean and for preventing things from sticking to underwater surfaces.

Dataset link

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“Exploring plastic transport dynamics in the Odaw river, Ghana”

The dataset supports a scientific paper about plastic in Ghana's Odaw River. The data shows how much floating plastic was found in the area during the study. The researchers wanted to see how rainfall, tides, and river flow affected the movement of plastic. The findings provide a baseline for the Odaw river during the dry season and allow for comparison with the wet season. The approach adopted here also serves as a blueprint for similar urban river systems, both regionally and globally.

Dataset link

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