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data set for an online study exploring the role of the decoy effect in sustainable food choice
Data Types:
  • Software/Code
  • Dataset
A double-sided non-cooperative game with multiple firms and multiple customers based on supply function equilibrium model and demand response. Programs and data is contained in the Programs folder. Please execute loaddata.mat before executing any other programs. The data format and content is described in loaddata.mat
Data Types:
  • Software/Code
  • Dataset
The repository contains the ERP data for self-face, friend's face and other's face perception. Raw Data folder contain the EEG data in Brain Products format. Epoched Data folder contain processed EEG data in EEGLAB format. sLORETA files folder contain data of source mean amplitude within-cluster of significant correlations between ERP and heartbeat perception scores. Also, repository include subject description file with the antropometric and psychometric data.
Data Types:
  • Other
  • Software/Code
  • Tabular Data
  • Dataset
  • Text
The present study had four objectives. First, we aimed at replicating the effects of provocation on reactive aggression in a monetary modified Taylor Aggression Paradigm (mTAP). Moreover, we examined the moderating role of gender expecting higher gender differences under conditions of low provocation and smaller gender differences under conditions of high provocation. In terms of convergent validity, we hypothesized a significant relationship between self-reported trait aggression and behavioral aggression outcomes in the laboratory paradigm. Finally, to explore the role of provocation sequence, the monetary stimuli (0 - 90 cents) were presented either randomly or in a fixed sequence. In contrast to the random sequence, the fixed sequence was generated as triplets of the same provocation category. Because of the more homogeneous provocation sequence in the fixed condition, we expected higher aggression levels after higher provocation and lower aggression levels after lower provocation in this experimental condition. In this experiment, 209 young healthy participants (104 males, 105 females) completed a mock competitive reaction time task with a fictional opponent with 40% preprogrammed win and 60% lose trials. In lose trials, participants were provoked by subtracting a low (0 - 20 euro cents), medium (30 - 60 cents) or high (70 - 90 cents) amount of money from their account.
Data Types:
  • Software/Code
  • Dataset
This dataset is about a systematic review of unsupervised learning techniques for software defect prediction (our related paper: "A Systematic Review of Unsupervised Learning Techniques for Software Defect Prediction" in Information and Software Technology [accepted in Feb, 2020] ). We conducted this systematic literature review that identified 49 studies which satisfied our inclusion criteria containing 2456 individual experimental results. In order to compare prediction performance across these studies in a consistent way, we recomputed the confusion matrices and employed MCC as our main performance measure. From each paper we extracted: Title, Year, Journal/conference, 'Predatory' publisher? (Y | N), Count of results reported in paper, Count of inconsistent results reported in paper, Parameter tuning in SDP? (Yes | Default | ?) and SDP references(SDPRefs OrigResults | SDPRefs |SDPNoRefs | OnlyUnSDP). Then from within each paper, we extracted for each experimental result including: Prediction method name (e.g., DTJ48), Project name trained on (e.g., PC4), Project name tested on (e.g., PC4), Prediction type (within-project | cross-project), No. of input metrics (count | NA), Dataset family (e.g., NASA), Dateset fault rate (%), Was cross validation used? (Y | N | ?), Was error checking possible? (Y | N), Inconsistent results? (Y | N | ?), Error reason description (text), Learning type (Supervised | Unsupervised), Clustering method? (Y | N | NA), Machine learning family (e.g., Un-NN), Machine learning technique (e.g., KM), Prediction results (including TP, TN, FP, FN, etc.).
Data Types:
  • Software/Code
  • Tabular Data
  • Dataset
  • Document
  • Text
  • File Set
Dual numbers are used to develop methods for computing velocities and accelerations
Data Types:
  • Software/Code
  • Dataset
  • Text
This dataset is a combination of different biological tasks mentioned in this paper: "Green Model to Adapt Classical Conditioning Learning in Hippocampus"
Data Types:
  • Software/Code
  • Dataset
Smoke Test on 17Jul2019 natscilivecustomer (Dataset-1) Smoke Test on 17Jul2019 natscilivecustomer (Dataset-2)
Data Types:
  • Other
  • Software/Code
  • Image
  • Video
  • Tabular Data
  • Dataset
  • Document
  • Text
  • Audio
Batch mesophilic 37oC reactors fed with acetic acid (0.5 mL AC/L every 5-6 days), have been amended with different amount of incineration bottom ash/ and ammonium chloride for 120 days. At the start of the experiments, different mass of IBA was added to the reactors which had been amended with IBA. Then the group of the reactors which amended with NH4CL had received 4 g/L NH4Cl every run of 5-6 days. In parallel batch reactors without IBA/ and NH4Cl were also run. Reactor performance (methane production) and stability (pH drop and VFA accumulation) were investigated. On day end of the experiments i.e. on day 120, a representative digestate sample was collected from each reactor, then sequenced for 16S rRNA gene. The sequence files shown in this data set are fastq files from the illumina sequencing analysis.
Data Types:
  • Software/Code
  • Dataset
  • Text
  • File Set
The aim of the agreement study here was to determine whether the scanner can reproduce the mean hue measurements taken by the colorimeter on the same fruit over time. The colorimeter is faster and easier to use than a flatbed scanner. Additionally, each image obtained with the scanner needs to processed by an image manipulation program to select the object and extract its pixel-by-pixel information. Our major interest here is in the longitudinal accuracy profile, because high values over time would suggests that the fruit's topography does not influence the measurements taken by the scanner. In addition, we have two simulated dataset. Firstly, in the simulated_hue a total of 100 fruits were observed over 20 days by three methods to evaluate the mean hue of fruit's peel. The aim of the agreement study was to assess how well the methods 2, and 3 agreed with method 1 over time. In the simulated_hue_block , A total of 100 fruits by block were observed over 20 days by four methods to evaluate the mean hue of fruit's peel. We considered three blocks in this simulation. The aim of the agreement study was to assess how well the methods 2, 3, and 4 agreed with method 1 over time.
Data Types:
  • Software/Code
  • Dataset