This dataset is shared by Dr. Jibo HE, founder of the USEE Eye Tracking Inc. and professor of Tsinghua University. Contact me at firstname.lastname@example.org 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.
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
Contributors:Hector Sanchez-Iranzo, Carlo Bevilacqua, Alba Diz-Muñoz, Robert Prevedel
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.
Contributors:Lin Ma, Dimitrije Ruzic
The replication data for "Globalization and Top Income Shares"
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
Contributors:Søren Kiil, Kim Dam-Johansen, Claus Weinell, Louise Ring, ying zeng