CSV
Archival bundle of District Information System for Education (DISE) Delhi primary to upper-primary level schools in academic session 2012-2013. DISE is a school-level dataset consisting of government-recognized schools. It is a joint initiative of the Government of India, UNICEF and the National University of Education and Planning (NUPEA).
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10,000 rows of sample data in four formats (CSV, JSON, XML, XLSX) for testing. Fields are as follows: seq, first, last, age, street, city, state, zip, dollar, pick, date, latitude, longitude, birthday, ccnumber, dollar, ccnumber, phone, email, sentence, paragraph
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Co-cultures are a traditional method for studying the cellular properties of cell to cell interactions among different cell types. How network properties in these multicellular synthetic systems vary from monocultures are of particular interest. Understanding the changes in the functional output of these in vitro spiking neural networks can provide new insights into in vivo systems and how to develop biological system models that better reflect physiological conditions - something of paramount importance to the progress of synthetic biology.
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This dataset contains the performance models, simulation and monitoring results, and analysis scripts that we used for our evaluation.
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We apply the AES Encryption algorithm and the Lempel Ziv(LZ) Compression algorithms on each data record and record the times. Then we apply combinations of AES and LZ on the data records - namely AES(LZ()) and LZ(AES()). We record the 4 times and derive scatter plots.
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Data from 17 open source software projects was analysed with DWT in order to find similar sequences of values of metrics extracted from revision control systems. The dates for stages and cycles for the projects are listed as well as the terms used in different time periods. The dataset is used to indentify topic flows in the cycles determined by DWT analysis of the source code.
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Wearable Inertial Measurement Units (IMU) measuring acceleration, earth magnetic field and gyroscopic measurements can be considered for capturing human skeletal postures in real time. This dataset contains IMU readings (accelerometer, magnetometer and gyroscope) for common shoulder exercises: extension- flexion and abduction-adduction and simultaneously measures VICON readings and Kinect readings.
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Objective: During laparoscopic sacrocolpopexy vaginal vault prolapse is repaired by restoring the anatomical state of
the vagina with a surgical mesh. A vaginal manipulator is placed inside the vagina to provide proper exposure to the surgeon for
fixation of the mesh on the vaginal surface and vault by laparoscopy. Vaginal vault manipulation is done manually by an assistant
and long operation times lead to fatigue and inconsistent application of tensioning forces. This work describes a novel force sensor
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With the advent of huge data availability and cheap processing power to derive insights from data ,applications of Big Data and Machine Learning are gaining popularity in every industry. Now, Predicting about future is no more an alternate but a necessity to increase efficiency with accurate output. Forecasting for a shorter duration (Nowcasting) fits perfectly in this space to estimate the final production for better planning and control.
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