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This data show the search strategies, the excel sheet for the data extracted form included RCTs, and the reasons for exclusion of all other studies identified during database search.
Data Types:
  • Tabular Data
  • Dataset
  • Document
This data was collected to address the question of natural cooling of footbaths, with or without addition of ginger and mustard. Three conditions were tested: water only; water with addition of 80 grams of powder of mustard (sinapis nigra); water with addition of 80 grams of powder of ginger (zingiber officinale).
Data Types:
  • Tabular Data
  • Dataset
This is the case study results for paper "Sentiment Analysis of Disaster Response".
Data Types:
  • Software/Code
  • Dataset
  • Document
This dataset presents data from orientation to happiness indicators of university teachers and students from two Latin American countries: Mexico and El Salvador.
Data Types:
  • Software/Code
  • Dataset
The data set comprises of 9 nutritional traits among newly-developed clones across six environments in Ethiopia.
Data Types:
  • Tabular Data
  • Dataset
Preprocessed EEG data, behavioral measures, participants infos and experiment code for the study 'An ecological measure of rapid and automatic face-sex categorization'. Please find additional information in 'READ_ME.txt' file.
Data Types:
  • Other
  • Image
  • Tabular Data
  • Dataset
  • Text
  • File Set
Anonymized dataset of 540 typically developing individuals genotyped for 5 SNPs within the SNORD116 gene and phenotyped for schizotypal and autism spectrum personality traits. (AQ and SPQ-brief).
Data Types:
  • Tabular Data
  • Dataset
Dataframes (RDA) and scripts for data analysis (R) of the MS entitled "Searching for relief: Drosophila melanogaster navigation in a virtual bitter maze". Comments on R scripts will provide a step-by-step guide to data analysis. "BitterPlaceLearning_Script.m" is the script used to live-track single flies and deliver optogenetic stimulation according to the fly position in the arena
Data Types:
  • Software/Code
  • Dataset
This repository contains three data sets, which can be used to reproduce part of the case study in our paper “Machine learning-based leakage fault detection for district heating networks”. Specifically, Table A and Table B are the data sets used for training and testing the leakage fault detection (LFD) model in Section 4.4 of the paper. Table C presents the raw confusion matrix of the LFD results on the test set in Section 4.4.5 of the paper.
Data Types:
  • Tabular Data
  • Dataset
Correlation matrices
Data Types:
  • Tabular Data
  • Dataset
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