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Labelled images of raw input to a simulation of 2d Quantum mechanics Raw data (in HDF5 format) and output labels from quantum simulation 1.3 million images Labeled images Regression 2017 [173] K. Mills, M.A. Spanner, & I. Tamblyn MPII Cooking Activities Dataset Videos and images of various cooking activities.
Each file represents a single experiment and contains a single anomaly. The dataset represents a multivariate time series collected from the sensors installed on the testbed. There are two markups for Outlier detection (point anomalies) and Changepoint detection (collective anomalies) problems 30+ files (v0.9) CSV Anomaly detection
JASP (Jeffreys’s Amazing Statistics Program [2]) is a free and open-source program for statistical analysis supported by the University of Amsterdam. It is designed to be easy to use, and familiar to users of SPSS .
Data wrangling typically follows a set of general steps which begin with extracting the data in a raw form from the data source, "munging" the raw data (e.g. sorting) or parsing the data into predefined data structures, and finally depositing the resulting content into a data sink for storage and future use. [1]
Various plots of the multivariate data set Iris flower data set introduced by Ronald Fisher (1936). [1]A data set (or dataset) is a collection of data.In the case of tabular data, a data set corresponds to one or more database tables, where every column of a table represents a particular variable, and each row corresponds to a given record of the data set in question.
Free under the creative commons CC BY license. Files in GEOTiff format Orrbodies Includes geology, topography and mineral occurrence data for several countries as well as globally. Files are mostly in MapInfo format. Both free and commercial datasets available. Rextag Global Energy GIS Data
ParaView is an open-source, multi-platform data analysis and visualization application. ParaView is known and used in many different communities to analyze and visualize scientific data sets. [2] It can be used to build visualizations to analyze data using qualitative and quantitative techniques.
Statistical literacy benefits from open data. Instructors can use locally relevant data sets to teach statistical concepts to their students. [56] [57] Allowing open data in the scientific community is essential for increasing the rate of discoveries and recognizing significant patterns. [58]