Contributors: Thomas Dengiz
... This dataset contains supplementary materials for the paper "Demand response through decentralized optimization in residential areas with wind and photovoltaics". The following data is included: • Mathematical description of all optimization problems with explanations of the equations • Resulting load and temperature profiles of the buildings for the base case scenarios • Result tables with detailed information about the scenarios and their results • Commented code (in the modelling language GAMS) of the decentralized optimization problems for the different building types and the centralized optimization problem In case of any questions or comments regarding the files please feel free to contact: Thomas Dengiz Chair of Energy Economics, Karlsruhe Institute of Technology (KIT) in Germany Webpage: https://www.iip.kit.edu/english/86_3459.php E-Mail: firstname.lastname@example.org
Contributors: Ozgen Demirkaplan, Huseyin Hacihabiboglu
... Familiarity with sound sources is known to have a modulatory effect on auditory distance perception. However, the level of familiarity that can affect distance perception is not clearly understood. A subjective experiment that aims to assess the effect of interpersonal familiarity on auditory distance perception is reported in this article. The experiment involves a binaural listening task where different source distances between 0.5 and 16 meters were emulated by convolving dry speech signals with binaural room impulse responses measured in a skyway. The experimental paradigm involved stimuli that consisted of speech signals recorded from different-gender couples who have self-reported to have known each other for at least a year with daily interaction. Each subject judged the distances of a total of 15 different speech stimuli from their partner, the spectrally most similar stranger and the spectrally most dissimilar stranger, for six different emulated distances, respectively. The main finding is that a similar but unfamiliar speaker is localized to be further away than either a familiar speaker or an unfamiliar speaker.
Data for: Paleoenvironmental change on coastal SE Zagros during the last two millennia using paleoreconstruction of Khuran Estuary
Contributors: Mohammad Ali Hamzeh, Sedigheh Farahi Ghasr-Aboonasr
... Data are about physical properties of the sediment core, distribution of foraminifers, ages and GIS-based shapefiles.
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Contributors: Ahinoam Pollack
... This dataset includes data relevant to a research project investigating the cause of surface expression in a section of the Midway Sunset Oil Field. The data includes earth models of the Midway Sunset Oil Field (well data, core data, surfaces, property models), a presentation on this topic, and surface expression data. The surface expression excel sheet provides the presence/absence of surface expressions in relation to other parameters (such as concentration of plugged wells, seal thickness, etc.).
Contributors: Nicole Sanford
... - Presentation code and stimuli for the Working Memory Task and the Thought Generation Task. - Predictor weights derived from fMRI-CPCA (single-experiment WM analysis and multi-experiment WM-TGT analysis). - SPSS syntax for running repeated measures ANOVAs for each task, and averaging across load or delay conditions for the Working Memory Task. - Neuroimaging HDR/IMG files for visualizing components for both analyses.
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.
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.
Contributors: müşerref duygu saçar demirci, Jens Allmer
... izMiR is a data analysis workflow that can be used for the detection of pre-miRNAs. Here we provide a comprehensive approach which allows the opportunity to compare different data sets, feature groups and classifiers. The system is very flexible and can be seamlessly adopted for future studies gracefully allowing extensions and adjustment of any settings.
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: Ruitao Jin, Yutingw Wang, Yangpeng Liu, Chunmei Ding, Jing Xie, Jianshu Li
... The raw data of "Biomineralization and Osteogenic Differentiation Modulated by Substrate Stiffness".