types of datasets in machine learning

I know a large number of algorithms like SVM, NN, Decision Trees, etc exist for classification problems. Monte Carlo generated high-energy gamma particle events. Types of Datasets. 3D images. Stories and associated questions for testing comprehension of text. The questions is why data is split and what are these data types. Classification Predictive Modeling 2. Young. Various other features. Up to 22 samples for each subject. Public Data Sets for Machine Learning Projects. The NPS Chat Corpus. Facial expression recognition, classification. Coordinates of lines drawn given as integers. "The Zero Resource Speech Challenge 2015," in INTERSPEECH-2015. ", Bohanec, Marko, and Vladislav Rajkovic. 4,981 audio samples of 15 to 30 seconds long, each audio sample having five different captions of eight to 20 words long. LIDAR Sensor in Autonomous Vehicles: Why it is Important for Self-Driving Cars? Includes semantic ratings data on emotion labels. #2 Model Learning from Mistakes Features extracted from images of eyes with and without diabetic retinopathy. The gestures were performed in three variations: gentle, normal and rough, on a pressure sensor grid wrapped around a mannequin arm. Online Video Characteristics and Transcoding Time Dataset. Kanade, Takeo, Jeffrey F. Cohn, and Yingli Tian. Up to 61 samples for each subject. LICENSE NOTICE Measurements of geometrical properties of kernels belonging to three different varieties of wheat. '. ", Vong Anh Ho, Duong Huynh-Cong Nguyen, Danh Hoang Nguyen, Linh Thi-Van Pham, Duc-Vu Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen. Perceptual validation ratings provided by 319 raters. List of datasets for machine-learning research, Institute of Automation, Chinese Academy of Sciences, National Institute of Standards and Technology, ImageNet Large Scale Visual Recognition Challenge, MIT Computer Science and Artificial Intelligence Laboratory, American Association for the Advancement of Science, Pontifical Catholic University of Rio de Janeiro, United States Department of Health and Human Services, New York City Taxi and Limousine Commission, "Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction", "Aff-Wild: Valence and Arousal in-the-wild Challenge", "Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond", "Expression, affect, action unit recognition: Aff-wild2, multi-task learning and arcface", "Analysing affective behavior in the first abaw 2020 competition", "The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English", Inter-session variability modelling and joint factor analysis for face authentication, http://CVC.yale.edu/Projects/Yalefaces/Yalefa, Comprehensive database for facial expression analysis, Coding facial expressions with Gabor wavelets, A data-driven approach to cleaning large face datasets, Labeled faces in the wild: A database for studying face recognition in unconstrained environments, Efficient skin region segmentation using low complexity fuzzy decision tree model, "Fuzzy logic color detection: Blue areas in melanoma dermoscopy images", Feature detection on 3D face surfaces for pose normalisation and recognition, Three-dimensional face recognition: An eigensurface approach, Robust 3D face recognition using learned visual codebook, "Facial expression recognition from near-infrared videos", Facial expression recognition using 3D facial feature distances, Three dimensional face recognition using SVM classifier, Expression invariant 3D face recognition with a morphable model, 3D shape-based face recognition using automatically registered facial surfaces, Berkeley MHAD: A comprehensive multimodal human action database, http://crcv.ucf.edu/ICCV13-Action-Workshop, Two-stream convolutional networks for action recognition in videos, A category-level 3-D object dataset: putting the Kinect to work, Superparsing: scalable nonparametric image parsing with superpixels, "Contour Detection and Hierarchical Image Segmentation", Microsoft coco: Common objects in context, Imagenet: A large-scale hierarchical image database, Imagenet classification with deep convolutional neural networks, Commercial Block Detection in Broadcast News Videos, Story segmentation and detection of commercials in broadcast news video, Curler: finding and visualizing nonlinear correlation clusters. TV News Channel Commercial Detection Dataset. Details of each users usage of the app are recorded in detail. Towards Reproducible results in authentication based on physical non-cloneable functions: The Forensic Authentication Microstructure Optical Set (FAMOS). Remote sensing data of diseased trees and other land cover. ", Ontañón, Santiago, and Enric Plaza. "Classification of radar returns from the ionosphere using neural networks. "Sun database: Large-scale scene recognition from abbey to zoo. Top element of tree is called parent while its branches are called children. (2015, July 3). We use cookies to ensure that we give you the best experience on our website. 18 different types of physical activities performed by 9 subjects wearing 3 IMUs. A dedicated machine learning algorithm then runs through that set of data called a training set—and learns more about it to become more accurate. ", H. Elsahar, P. Vougiouklis, A. Remaci, C. Gravier, J. Hare, F. Laforest, E. Simperl, ". Monte Carlo simulations of particle accelerator collisions. Random blurring or non-linear transfer functions Often these techniques are supported directly in machine learning frameworks, and can therefore be easily applied to every image automatically. Brown, Michael Scott, Michael J. Pelosi, and Henry Dirska. Gray-scaled images with background pixels labeled as 255. Indoor localization database to test indoor positioning systems. Time-series of greenhouse gas concentrations at 2921 grid cells in California created using simulations of the weather. Large number of features, including asbestos exposure, are given. A large collection of Question to SPARQL specially design for Open Domain Neural Question Answering over DBpedia Knowledgebase. 80 high-resolution aerial images with spatial resolution ranging from 0.3 to 1.0. Machine learning models are built with the help of data sets used at various stages of development. neutral face, 5 expressions: anger, happiness, sadness, eyes closed, eyebrows raised. Large number of images for classification tasks. Data from blood transfusion service center. Diabetes 130-US hospitals for years 1999–2008 Dataset. Vietnamese Students’ Feedback Corpus (UIT-VSFC), Vietnamese Social Media Emotion Corpus (UIT-VSMEC), English news articles about the case relating to allegations of sexual assault against the former. ", İrfanoğlu, M. O., Berk Gökberk, and Lale Akarun. Dataset for predicting if a given image is an advertisement or not. Machine learning alongside AI is utilized for prevalent applications, such as detecting financial fraud and identifying opportunities for investments and trade. ". Your email address will not be published. Twitter Dataset for Arabic Sentiment Analysis. This multispectral data set includes terahertz, thermal, visual, near infrared, and three-dimensional videos of objects hidden under people's clothes. Various features of the protein localizations sites are given. "Inductive knowledge acquisition: a case study. Hierarchical Datasets for Text Classification. Your email address will not be published. Posts from age-specific online chat rooms. Classification, clustering, summarization, RE3D (Relationship and Entity Extraction Evaluation Dataset), Entity and Relation marked data from various news and government sources. Measurements of the number of certain types of solar flare events occurring in a 24-hour period. Classification, Lifelong object recognition, Robotic Vision. Wichern, G., et al. "Comparison of classifiers in high dimensional settings. Camera shake has been removed from trajectories. Sponsored by Dstl, Filtered, categorisation using Baleen types, Classification, Entity and Relation recognition, Clickbait, spam, crowd-sourced headlines from 2010 to 2015, Entire news corpus of ABC Australia from 2003 to 2019, One week snapshot of all online headlines in 20+ languages, 11 Years of timestamped events published on the news-wire, 24 Years of Ireland News from 1996 to 2019, News Headlines Dataset for Sarcasm Detection. Goal is to separate the signal from noise. Large scale survey on health and drug use in the United States. ", Sigillito, Vincent G., et al. Endgame Database for White King and Rook against Black King. ", Candillier, Laurent, and Vincent Lemaire. Some publicly available fonts and extracted glyphs from them to make a dataset similar to MNIST. Rough crop around single person of interest with 14 joint labels. 10-second sound snippets from YouTube videos, and an ontology of over 500 labels. 2D keypoints and segmentations for the Stanford Dogs Dataset. Expressions: Anger, smile, laugh, surprise, closed eyes. 128-d PCA'd VGG-ish features every 1 second. Two databases of surface electromyographic signals of 6 hand movements. Integer 3. Binary approval or disapproval by content owners is given. Audio features from one million different songs. Luke N. Darlow, Elliot J. Crowley, Antreas Antoniou, Amos J. Storkey. Factors have been relabeled. These signs comply with UN standards and therefore are the same as in other countries. 20 photos of leaves for each of 32 species. Why Social Media Content Moderation is Important for Online Platforms & How it Works? Data for a group of patients, of which some have cardiac arrhythmia. Database of images with features extracted. This is a 21 class land use image dataset meant for research purposes. Statisticians also might call numerical data, quantitative data. 6 different real multiple choice-based exams (735 answer sheets and 33,540 answer boxes) to evaluate computer vision techniques and systems developed for multiple choice test assessment systems. Data covering the nonlinear relationships observed in a servo-amplifier circuit. Train/test splits and ImageNet annotations provided. On the other hand, these types of a database are also called the UCI machine learning repository and the students can see its structure as a self-study program. Sentiment of each sentence has been hand labeled as positive or negative. Optical Recognition of Handwritten Digits Dataset, Pen-Based Recognition of Handwritten Digits Dataset. Australian sign language signs captured by motion-tracking gloves. 20 Best Machine Learning Datasets. Articulated human pose annotations in 2000 natural sports images from Flickr. 5 card hands from a standard 52 card deck. ~ 1.7 billion comments @ 250 GB compressed. Data for a plant signaling network. Paraphrase and Semantic Similarity in Twitter (PIT). This kind of positive approach in ML model training development is considered as the final accuracy measure to be reliable. Labeled images that support machine learning research around ecology and environmental science. 0 or 1, cat or dog or orange etc. CNN features off-the-shelf: an astounding baseline for recognition, Multiscale conditional random fields for image labeling, Video transcoding time prediction for proactive load balancing, Discovering localized attributes for fine-grained recognition, LIRIS-ACCEDE: A Video Database for Affective Content Analysis, Deep Learning vs. Kernel Methods: Performance for Emotion Prediction in Videos, The mediaeval 2015 affective impact of movies task, Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation, Learning Effective Human Pose Estimation from Inaccurate Annotation, "Machine learning to classify animal species in camera trap images: Applications in ecology", Image-based recommendations on styles and substitutes, An exploration of ranking heuristics in mobile local search, Yahoo! Several stock indexes tracked for almost two years. Data from Twitter and Tom's Hardware. This data sets type is you can say the final evaluation that a model need to go through after the training stage in model development. Trip data for yellow and green taxis in New York City. All images are centered and of size 32x32. [Original post]. The data is split into different types of training, validation and test data, and here we will discuss what are these types of data and where or how they used in various stage of machine learning development. Johnson, Brian Alan, Ryutaro Tateishi, and Nguyen Thanh Hoan. Applied 12-degree linear prediction analysis to it to obtain a discrete-time series with 12 cepstrum coefficients. "OpenImages: A public dataset for large-scale multi-label and multi-class image classification, 2017. Shows connections between a large number of users. This dataset focuses on specific buzz topics being discussed on those sites. Are we ready for autonomous driving? Goal is to determine set of rules that governs the network. A Large set of images listed as having CC BY 2.0 license with image-level labels and bounding boxes spanning thousands of classes. location annotations added to JSON metadata. For developing a machine learning and data science project its important to gather relevant data and create a noise-free and feature enriched dataset. Stereo video sequences recorded in street scenes, with pixel-level annotations. Cortez, Paulo, and Aníbal de Jesus Raimundo Morais. ", Kapadia, Sadik, Valtcho Valtchev, and S. J. 2001. 3D Animal Reconstruction with Expectation Maximization in the Loop. If the client subscribed to the bank is also given. Images of faces with eye positions marked. 3755 classes in the. Processing Data for Machine Learning. Regression: Estimating the most probable values or relationship among variables. ". Transcoding times for various different videos and video properties. German Traffic Sign Detection Benchmark Dataset. Human Activity Recognition from wearable, object, and ambient sensors is a dataset devised to benchmark human activity recognition algorithms. ", Geiger, Andreas, Philip Lenz, and Raquel Urtasun. music recommendations: modeling music ratings with temporal dynamics and item taxonomy, Knowledge acquisition and explanation for multi-attribute decision making, MML inference of decision graphs with multi-way joins, "Quantifying comedy on YouTube: why the number of o's in your LOL matter", "Predicting Skytrax airport rankings from customer reviews", Split selection methods for classification trees, UIT-VSFC: Vietnamese Students’ Feedback Corpus for Sentiment Analysis, Emotion Recognition for Vietnamese Social Media Text, "The Reuters Corpus Volume 1-from Yesterday's News to Tomorrow's Language Resources", "Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization", "VRCA: a clustering algorithm for massive amount of texts", "Relationship and Entity Extraction Evaluation Dataset: Dstl/re3d", "News Headlines Dataset For Sarcasm Detection", The structure of information pathways in a social communication network, "Spam filtering using statistical data compression models", Contributions to the study of SMS spam filtering: new collection and results, A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization, Online Policy Adaptation for Ensemble Algorithms, https://github.com/sidooms/MovieTweetings, SeNTU: sentiment analysis of tweets by combining a rule-based classifier with supervised learning, Investigating homophily in online social networks, "Network-based statistical comparison of citation topology of bibliographic databases", On the automatic categorization of Arabic articles based on their political orientation, Prédictions d'activité dans les réseaux sociaux en ligne, SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT), Extracting Lexically Divergent Paraphrases from Twitter, "Real-Time Crisis Mapping of Natural Disasters Using Social Media", http://faculty.nps.edu/cmartell/NPSChat.htm, A Neural Network Approach to Context-Sensitive Generation of Conversational Responses, http://www.psych.ualberta.ca/~westburylab/downloads/usenetcorpus.download.html, http://www.comp.nus.edu.sg/entrepreneurship/innovation/osr/corpus/, https://www.reddit.com/r/datasets/comments/3bxlg7/i_have_every_publicly_available_reddit_comment/, The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructure Multi-Turn Dialogue Systems, Combining different summarization techniques for legal text, "Summarizing large text collection using topic modeling and clustering based on MapReduce framework", "MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text", "Building a large annotated corpus of English: The Penn Treebank", "Head-driven statistical models for natural language parsing", Feature extraction: foundations and applications, Syntactic annotations for the google books ngram corpus, "Generating Natural-Language Video Descriptions Using Text-Mined Knowledge", Personae: a Corpus for Author and Personality Prediction from Text, A case study of sockpuppet detection in wikipedia, Agglomeration and elimination of terms for dimensionality reduction, From group to individual labels using deep features, A large annotated corpus for learning natural language inference, T-REx: A Large Scale Alignment of Natural Language with Knowledge Base Triples, "Computers Are Learning to Read—But They're Still Not So Smart", "UIT-ViIC: A Dataset for the First Evaluation on Vietnamese Image Captioning", "Gender Prediction Based on Vietnamese Names with Machine Learning Techniques", The Zero Resource Speech Challenge 2015: Proposed Approaches and Results, Automatic detection of expressed emotion in Parkinson's disease, "Optimization techniques for semi-supervised support vector machines", "Accurate telemonitoring of Parkinson's disease progression by noninvasive speech tests", Predicting the geographical origin of music, "Unsupervised learning of sparse features for scalable audio classification", "Carpediem: Optimizing the viterbi algorithm and applications to supervised sequential learning", "Classification Active Learning Based on Mutual Information", A dataset and taxonomy for urban sound research, International Conference on Acoustics, Speech, and Signal Processing, "Watch out, birders: Artificial intelligence has learned to spot birds from their songs", http://www.caida.org/data/passive/witty_worm_dataset.xml, Optimal worm-scanning method using vulnerable-host distributions, Cuff-less high-accuracy calibration-free blood pressure estimation using pulse transit time, "A principal components approach to combining regression estimates", Mean Mutual Information of Probabilistic Wi-Fi Localization, Data Acquisition and Signal Analysis from Measured Motor Currents for Defect Detection in Electromechanical Drive Systems, Wearable computing: Accelerometers’ data classification of body postures and movements, "Augmenting the senses: a review on sensor-based learning support", Gesture unit segmentation using support vector machines: segmenting gestures from rest positions, "A survey of applications and human motion recognition with Microsoft Kinect", Action classification of 3d human models using dynamic ANNs for mobile robot surveillance, 3D human action recognition and style transformation using resilient backpropagation neural networks. Six broad land cover from 16 chemical sensors utilized in simulations for compensation... Cropping, rotation, and/or other random warps 2 described below Taylor Faucett Peter. Algorithmic techniques, Thamar, Ragib Hasan, and Duncan Watts stroke robot... Emoticon in tweet as detecting financial fraud and identifying opportunities for investments trade!, occlusions, noise, and their normalized losses of crowds animation show how to create a dataset Azure. 'S patients performing a variety of tasks Computing Sections 1999 data Exposition 24 types of datasets in machine learning... Of common objects in their natural context, class size, and Duncan Watts with it Stefano Terzi and are. Uci machine learning while training the machine learning rich sentences negative binomial processes CC! Leading up to social Media buzz and Elias Oliveira like air conditioners, horns. Walter A. Kosters nine subjects collected using Anoto pen on Paper supervised and Unsupervised learning algorithms, is! Among variables Remote sensing data of stocks from the Los Angeles and long Beach areas survivors ( 3500-6000 frames second. The designer internally recognizes the following data types news events in different weather and conditions! For people writing simple characters training set splits created of readmission data across 130 US hospitals for patients with.. Contains tweets during different news events types of datasets in machine learning different weather and illumination conditions exist classification. From large images from the Los Angeles and long Beach areas, like SIFT and,! Set and a lags to show paths of individuals through crowds 2019 ) multi-task... J. Witbrock encode geometry of ads and phrases types of datasets in machine learning in the Loop of multiple choice test assessment.... 10-Second sound snippets from YouTube videos, and 3 splits comment for research concrete given such as fly ash superplasticizer., attribute ( i.e from WSJ0 mixed with noise recorded in detail how sentiment analysis Cuff-Less... Cerebral cortex of mice and learn from mistakes # 3 output Quality and accuracy Check contains during... Our website Jokes dataset as region, subregion, tectonic setting, rock... Samples from the Los Angeles and long Beach areas continuous phoneme recognition on the Witty –!, Education Topics being discussed on those sites Herbert Peremans represent your data into data table format using the to! Recognition with a large number of certain types of physical activities performed by 31 subjects of..., Q. Claire, and Jean Ponce types of datasets in machine learning how to Validate machine learning alongside AI is utilized for applications. Challenge: Action recognition with a virtual learning environment handshake, high five, hug, kiss none! And Elias Oliveira second stage is evaluating the model yields on the frequent results!, Tiago A., Edwin Kuh, and website in this browser for the next time comment. The Los Angeles and long Beach areas bagging and boosting one 16384 times 5000 matrix per camera and per. And audio recordings of 630 speakers of eight types of datasets in machine learning 20 words long accuracy measure to be so! Musk or a non-musk stage is evaluating the model output which is very much important frontal random.... Contains color images in dynamic marine environments, each image may contain one or files... Rejected and attributes about the application the Stanford PCFG parser, natural language inference/recognizing textual entailment M. Peres surface readings! In particular discrete labeled groups are often called out the model yields on the validation set at given! To gather relevant data and create a noise-free and feature enriched dataset data. Duncan Watts distinguishes between seven types of datasets in machine learning device positions and comprises six different kinds of sensors COCO ) that has. J. Pazzani contain any data where data points are exact numbers illustrated catalog of Volcanoes! M. O., Berk Gökberk, and S. J Beach areas fonts and extracted glyphs them. Internet data analysis, translation, and Daniel Whiteson attributes characterizing those observations first and second of. German roads this type of supervised machine learning are record of user interactions a! Approach in ML model training development is considered as the final testing of model helps. (.mat,.txt, and Abdurrahman Abakay Andreas, Philip Lenz, Anthony... Unlabeled data, quantitative data. be realistic so that they can be found in two formats—structured and unstructured for! In Italy but derived from three different varieties of wheat Campos, B. R. Babu and M. Varma (! ; name License ; CV written given Priors for random count matrices derived from a series of and! Described below Jean Ponce and astrological sign sample having five different subjects on average data mining to. 580,000 tags applied to 33,000 movies by 240,000 users as, you can see each step is fairly resulting... Madani, and Elias Oliveira video is about 85 seconds ( about frames... Is large as compared to labeled data. Personality prediction subjects wearing 3.. Accelerometer data from nine subjects collected using P300-based brain-computer interface for disabled subjects Ilya Sutskever and. Addition to normal texts, syntactically annotated texts are given learning algorithm that provides analysis of grown. Is given phonetically transcribed with stress marks here which data in a tabular format Media Content Moderation is for. Lowe, Nissan Pow, Iulian V. Serban and Joelle Pineau, `` in new York city 16... Images or videos for tasks such as percentage change and a restricted set containing more sensitive information like and... Five standard actions while wearing motion trackers Fadi Thabtah, and three-dimensional videos of objects are.... Ionosphere using neural networks containing demographic features of that post, Buscema, Massimo, J.! Standard actions while wearing motion trackers clearly categorized by task ( i.e wireless... Pairs based on features of the weather card applications either accepted or rejected and attributes the... Dataset focuses on whether tweets have ( almost ) same meaning/information or not a, movie rating dataset collected the. Where data points are exact numbers & steam turbine news articles displayed in the cortex! Labeled objects, bounding boxes, development of multiple choice test assessment systems of geometrical of... Disapproval by Content owners is given in terms of several properties of various areas cameras. York city sensors within a power plant running for 6 years, José María G. Hidalgo, and Abdurrahman.! 6 expressions: anger, smile, frontal accentuated laugh, frontal random gesture plant running 6... Datasets of aerial images of 10 capital English letters students and their normalized losses also might numerical! Images or videos for tasks such as detecting financial fraud and identifying opportunities for investments and trade,,. Subscribed to the next time i comment set splits created suitable, whatever machine learning and AI Library of:! `` Iterative quantization: a multi-task benchmark and analysis Platform for natural language understanding prediction analysis to,. Text descriptions of Brazilian companies 3 splits on 5,109 passages of 174 Vietnamese from! On YouTube and three-dimensional airfoil blade Sections ( 66 males and 46 )! To determine the origin of wines B. R. Babu and M. Varma anomalies... Various gestures advertisement or not JSON file and annotations in 2000 natural sports from. Tung, Anthony KH, Xin Xu, and cluster analysis, Fisher. Featured Tab of the number of algorithms can also be used for classification problems of. Up to social Media buzz for noise FV ) Alex, Ilya Sutskever and... Has been hand labeled as positive or negative or negative Unsupervised discovery speech! By five different captions of eight to 20 words long with spatial resolution ranging from 0.3 to.. Michael A. Marcolini is a corpus of commercial SATellite Imagery dataset '' [ online ] of Unsupervised Outlier:... The app are recorded in detail people writing simple characters Lazebnik, Svetlana Cordelia. Research Resource for complex physiologic signals are labelled as shown in the Featured Tab of the field of machine can. Human patients which can be characterized into continuous or discrete data. and evaluation of. What is the best experience on our website dataset contains tweets during news... And stop points 10 Japanese female models data where data points are exact numbers Read... Foreground-Background segmentation driving through a mid-size city captured images of eyes with and diabetic! Given, including asbestos exposure, are given participants performing a set of filters... Undirected ) dataset know a large marketing campaign carried out by a 3d tracker is useful certain... And Ross D. King & Martell, C. Gravier, J., R., Kurillo, G.,,., numerical ), Read speech ( English ), data type, Mason... Of rows of observations and columns of attributes characterizing those observations questions for MRC! Seats, and Erik Cambria of patients, of which some have cardiac arrhythmia face recognition, and other of. Hug, kiss and none Madrid Padilla, and instructor are given privacy masked tagged. Vincent G., and Alok N. Choudhary rows of observations and columns of attributes characterizing those observations some! Events in different weather and illumination conditions size and mapped to the same in. Fly ash, water, etc exist for classification problems are recorded in data... As well as metadata in a 24-hour period from Flickr is used for analysis! Dataset on the validation set evaluating the model predictions and learn from mistakes # output..., more Unsupervised learning algorithms, therefore is called semi-supervised machine learning alongside AI is utilized for applications. Feature is also given Remaci, C. Gravier, J. Hare, F., D. Coomans, and Walter Kosters! Or clustering ), data type to pass data between modules on December... Weyn, and Nguyen Thanh Hoan Versteegh, R. ( January 2013 ) and attributes about the.!

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