A Novel Optimization-Based Tool to Automate Infeasible Cycle-Free Gapfilling of Genome-Scale Metabolic Models, Schroeder and Saha
Contributors: Wheaton Schroeder, Rajib Saha
... Dataset related to the paper of the same title submitted for publication in the journal iScience. The abstract is as follows.
Eye-tracking Technology in Identifying Visualizers and Verbalizers- Data on Eye-movement Differences and Detection Accuracy
Contributors: Zhanni Luo
... The current experiment aims to reveal the eye movement differences of visualizers and verbalizers in viewing four pictures-in-text by analyzing gaze plot path and fixation data (fixation duration, fixation counts and the average time on each fixation). Even though learning style theory and its traditional assessment approach were criticized for various reasons, there is a lack of commonly-accepted alternatives for now. Therefore, to assess the accuracy of eye-tracking technology in identifying learners of these two types (visual or verbal), the traditional pencil-and-paper approach was also adopted for comparison. For this experiment, the Index of Learning Styles (ILS) questionnaire was selected. This dataset presents the experiment materials (File 1), answer sheet and ILS questionnaire (File 2), raw data exported from Tobii eye-tracker (File 3 and 4), and the organized data (File 5 and 6). File 5 is the organized raw data which merges the raw data for different documents into one excel. File 6 contains the result of self-report learning styles, either visual or verbal, as well as the calculation process.
Contributors: Nancy Marshall, Homa Rahmat
... ![Smart Cities](https://user-images.githubusercontent.com/7201209/66698042-cfeea680-ed19-11e9-963b-e2ae7396bfe5.png) # Smart Social Spaces Open Data This repository will be the central point for distribution of data from the Smart Social Spaces project, a collaboration between UNSW, Georges River Council, Street Furniture Australia and Oxamii. Data in CSV format will be regularly uploaded to this repository. ## License This data is released under a Creative Commons Attribution 4.0 license. For more information, see terms and conditions [here](https://creativecommons.org/licenses/by/4.0/). ## Smart Social Spaces More information on the Smart Social Spaces project can be found [here](https://cityfutures.be.unsw.edu.au/research/projects/smart-social-spaces-smart-street-furniture-supporting-social-health/). # Datasets ## Aggregated Data The file in the root folder entitled sss_data_DATE.csv contains aggregated, compiled, cleaned and parsed data from a number of sources under the smart social spaces trial, such as weather, proximity, sound, vibration, water and energy usage. This data is in timeseries CSV format and can be opened with most major data processing tools. ## Sound Data This is the raw sound level data collected from a number of bench sites. It does NOT contain audio - it is a high-resolution timeseries of sound level recordings in dB taken from a range of sites in the study. This data is raw and has not been parsed or sampled. For a simplified version sampled at 5-minute intervals, see the main aggregated data file described above. ## BBQ Data This folder contains data relating to the use of barbecue areas under the smart social spaces study. It has been edited for clarity and contains a number of graphic visualisations to aid in analysis, in excel format.
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Contributors: Danilo Silva Lisboa
... This repository contains all model components (plotted as animated maps), files and Matlab codes used to construct, train and validate the Bayesian Networks model for coral bleaching forecast in the North Atlantic Ocean. In addition, we provide geographic locations maps of reef observations used by the model, broken down by the model's ability to predict them.
Contributors: Francois Lambert
... Title: Swim style-dependent utricular activation ensures gaze-stabilization during early development
Contributors: Ruitao Jin, Yutingw Wang, Yangpeng Liu, Chunmei Ding, Jing Xie, Jianshu Li
... The raw data of "Biomineralization and Osteogenic Differentiation Modulated by Substrate Stiffness".
Port Data Penelitian Personalisasi Konten E-learning Berdasarkan Felder-Silverman Learning Style Model
Contributors: Jeremiah Hasudungan Sihombing
... The following data port contains the entire Data, Documents, Products, and Software generated from this research. Please use as appropriate. -JHS-2019 NB : since this research was conducted in Indonesia there are several documents that use Indonesian
Data for the effect of upscaling procedure on terrain parameters derived from DEM: taking slope as an example
Contributors: Qianning Zhang
... This dataset contains the experimental data for scaling of DEM and slope, slope data with 9m resolution for verification, and the statistical results.
Contributors: Tetsuji Okada
... DSA files of human (N to Z, by gene name) : UniProt ID is used for a protein to which no gene name is assigned.