Filter Results
167406 results
This zip file contains all scripts and data used in the benchmarking experiments shown in the manuscript.
Data Types:
  • Dataset
  • File Set
This dataset is shared by Dr. Jibo HE, founder of the USEE Eye Tracking Inc. and professor of Tsinghua University. Contact me at hejibo@usee.tech if you need to get the full dataset in over 5G size. This is the dataset from RateMyProfessor.com for professors' teaching evaluation. The dataset is provided in two format. The zip file contains many single .csv files, with each file for a single professor's webpage. The RateMyProfessor_Sample data.csv is the combined version with many professors' information in a single csv file. We have crawled almost one million professors' information. The total dataset is over 5. The dataset crawled and extracted from RMP has 18 variables. This part briefly describes each variable that needs to be analyzed.  Professor name: name of the professor who is rated  School name: university where the professor is currently teaching  Department name: currently working there  Local name: university’s locally known as  State name: state which the university is located in  Year since first review: the professor's teaching age, from the first student evaluation to the time when we did the analysis in year 2019.  Star rating: the star rating of the professor's overall quality, the point 3.5-5.0 is good, 2.5-3.4 is average and 1.0-2.4 is poor according to RMP’s official standard. This star rating is the average score given to professors by all student comments;  Take again: percentage of students who want to choose this course again;  Difficulty index: The difficulty level of a course. Point 1 is easiest, and point 5 is hardest. The difficulty index is the average score given to professors by all students;  Tags: the tag students chose to describe a professor;  Post date: the date when the student posted an evaluation of a course;  Student star: each student gives a star rating to a professor;  Student-rated difficulty: every student gives difficulty index to a professor;  Attendance: whether a course is mandatory or not;  For credit: whether students chose a course for credit (yes or no);  Would take again: whether students would like to choose a course again (yes or no)  Grade: student’s final score of a course, such as A+, A, A-, B+, B, B-, C+, C, C-, D+, D, D-, F, WD, INC, Not, Audit/No. “WD” is Drop/Withdrawal. “INC” means Incomplete. “Not” is Not sure yet, and “Audit/No” is Audit/No Grade.  Comment: comments that students gave for professors.
Data Types:
  • Tabular Data
  • Dataset
  • File Set
The complete codes of the IDEAL algorithm on porous-medium problems in OpenFOAM;V-velocity and temperature date on the different Y–O–Z planes
Data Types:
  • Dataset
  • File Set
Herein, we share a representative 3D spectral dataset of a 48-52 hours post-fertilization (hpf) zebrafish embryo eye, obtained by Brillouin microscopy, an all-optical and non-contact technique that gives access to material properties through the process of Brillouin scattering. This dataset encompasses the crystalline lens as well as the different retinal layers.
Data Types:
  • Dataset
  • File Set
experimental result
Data Types:
  • Dataset
  • File Set
The replication data for "Globalization and Top Income Shares"
Data Types:
  • Dataset
  • File Set
The raw data presents the IV, EQE and impedance spectroscopy measurements for both the ECD and TO Cu2O samples at RT.
Data Types:
  • Dataset
  • File Set
this is the main data about this paper.
Data Types:
  • Dataset
  • File Set
Numerical implementation of the ESCALADE method in MATLAB along with additional functions for optimization and visualization of the performance.
Data Types:
  • Dataset
  • File Set
This document describes the software developed to convert the numerical weather prediction data calculated by NCEP/GFS model and provided in GRIB format to HIRLAM-GRIB format which is used by the far-range model of atmospheric transport MATCH of the RODOS system. The software also enables possibility to reverse u- and v-velocity components for running backward calculations. When using this software please cite the following paper: Kovalets I. V., Robertson L., Persson C., Didkivska S.N., Ievdin I.A. Trybushnyi D. (2014) Calculation of the far range atmospheric transport of radionuclides after the Fukushima accident with the atmospheric dispersion model MATCH of the JRODOS system // Int. J. of Environment and Pollution. – 2014. – Vol. 54, No 2/3/4. – P. 101-109, doi: 10.1504/IJEP.2014.065110
Data Types:
  • Dataset
  • File Set
19