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Visualization techniques for heterogeneous and multidimensional simulated building performance data sets

Publications associées (51)

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Data-driven building energy modeling is an emerging solution to facilitate the implementation of energy-flexible buildings. However, its black-box nature hinders interpretation, including with respect to human-building interaction. This drawback may bring ...

Association for Computing Machinery2023

Dataset for the paper High durability and stability of 2D nanofluidic devices for long-term single-molecule sensing

Aleksandra Radenovic, Andras Kis, Martina Lihter, Mukesh Kumar Tripathi, Mukeshchand Thakur, Andrey Chernev, Nianduo Cai, Yunfei Teng, Michal Daniel Macha, Yanfei Zhao, Miao Zhang

Information regarding the Dataset, corresponding to the paper: “Thakur, M., Cai, N., Zhang, M. et al. High durability and stability of 2D nanofluidic devices for long-term single-molecule sensing. npj 2D Mater Appl 7, 11 (2023). https://doi.org/10.1038/s41 ...

EPFL Infoscience2023

A Unified Framework for Neuroscience Morphological Data Visualization

Juan José García Cantero

The complexity of the human brain makes its understanding one of the biggest challenges that science is currently confronting. Due to its complexity, the brain has been studied at many different levels and from many disciplines and points of view, using a ...

2021

Recent advances in trajectory inference from single-cell omics data

Bart Deplancke, Wouter Saelens

Trajectory inference methods have emerged as a novel class of single-cell bioinformatics tools to study cellular dynamics at unprecedented resolution. Initial development focused on adapting methods based on clustering or graph traversal, but recent advanc ...

ELSEVIER2021

The Hermeneutic Circle of Data Visualization: the Case Study of the Affinity Map

Dario Rodighiero

In this article, we show how postphenomenology can be used to analyze a visual method that reveals the hidden dynamics that exist between individuals within large organizations. We make use of the Affinity Map to expand the classic postphenomenology that p ...

2020

Communication of data associated with chemical structures in a concise fashion can be challenging. Here, we describe an alternative to the classic substrate table that integrates numerical data with struttural changes. These radial-scopeplots facilitate th ...

2020

Data are essential to urban building energy models and yet, obtaining sufficient and accurate building data at a large-scale is challenging. Previous studies have highlighted that the data impact on urban case studies has not been sufficiently discussed. T ...

2020

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Increasing availability of comprehensive experimental datasets and of high-performance computing resources are driving rapid growth in scale, complexity, and biological realism of computational models in neuroscience. To support construction and simulation ...

PLOS2020

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Twenty years have passed since first light for the Sloan Digital Sky Survey (SDSS). Here, we release data taken by the fourth phase of SDSS (SDSS-IV) across its first three years of operation (2014 July-2017 July). This is the third data release for SDSS-I ...

IOP PUBLISHING LTD2019

Self-Recognition in Data Visualization: How Individuals See Themselves in Visual Representations

Dario Rodighiero, Loup Cellard

This article explores how readers recognize their personal identities represented through data visualizations. The recognition is investigated starting from three definitions captured by the philosopher Paul Ricoeur: the identification with the visualizati ...

2019