Education

Mother’s Significant Feature (MSF) Dataset has been designed to provide data to researchers working towards woman and child health betterment. MSF dataset records are collected from the Mumbai metropolitan region in Maharashtra, India. Women were interviewed just after childbirth between February 2018 to March 2021. MSF comprise of 450 records with a total of 130 attributes consisting of mother’s features, father’s features and health outcomes. A detailed dataset is created to understand the mother’s features spread across three phases of her reproductive age i.e.

This data set provides a list of the indexed journal by Scopus, Web of Science, and Directory of Open Access Journals (DOAJ) with the data in each row: Journal ID, Journal name, Publisher name, Publisher Address, Print-ISSN, E-ISSN, Scope, Coverage year, Status level (such as a Top-Level, etc), Cited Score, Languages, and many more.

Reference attached on the link.

A dataset of the senior high students.  

The dataset contains :

1_teacher.csv contains the corresponding information of the teachers;

2_student.csv contains the corresponding information of the students;

3_kaoqin.csv contains the attendance information of the students;

4_kaoqintype.csv contains the type of attendance. 

5_chengji.csv contains the grades of the students. 

6_exam_type.csv contains the type of examinations. 

The dataset links to the survey performed on students and professors of Biological Engineering introductory course, as the Department of Biological Engineering, University of the Republic, Uruguay.

This dataset represents the main different unique learning behaviors that may be found in any group of learners in e-learning/educational systems. It represents 20 learners through 17 OERs.