This dataset has information of 83 patients from India. This dataset contains patients’ clinical history, histopathological features, and mammogram. The distinctive aspect of this dataset lies in its collection of mammograms that have benign tumors and used in subclassification of benign tumors. 

Instructions: 

This datasest contains a zip folder of 80 mammograms and an excel file having mammographic features, histopathological features as well as clinical fatures of all the patients. 

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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.

Instructions: 

We have provided the copy of forms used to collect data for datset and a read me guide to undertand the features provided in dataset along with the content of all the 6 dataset submitted in excel sheet format.

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151 Views

With the rapid growth of the Bangla music industry huge volume of Bangla songs is produced every day. An immense number of producers, lyricists, singers, and artists are involved in the production of songs from different genres. Among many genres of Bangla music; classical, folk, baul, modern music, Rabindra Sangeet, Nazrul Geeti, film music, rock music, and fusion music have gained the highest popularity. Lyricists try to express their feelings and views towards any situation or subject through their writings.

Instructions: 

The dataset contains the separate folders named after Bangla Song Writers or authors. Each folder contains the word files having the raw format of song lyrics. Download the files and use natural language processing to develop advance methods. 

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45 Views

In large-scale multi-objective optimization, as the decision space's dimensionality increases, evolutionary algorithms can easily fall into an optimal local state. Therefore, how to prevent the algorithm from falling into a local optimum and quickly converge to the Pareto front is a particularly challenging problem. In order to solve the problem, this paper proposes a grid-based fuzzy evolution large-scale multi-objective optimization framework, which divides the entire evolution process into two main stages: fuzzy evolution and precise evolution.

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Dataset asscociated with a paper in Computer Vision and Pattern Recognition (CVPR)

 

"Object classification from randomized EEG trials"

 

If you use this code or data, please cite the above paper.

Instructions: 

See the paper "Object classification from randomized EEG trials" on IEEE Xplore.

 

Code for analyzing the dataset is included in the online supplementary materials for the paper.

 

The code from the online supplementary materials is also included here.

 

If you use this code or data, please cite the above paper.

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159 Views

This dataset contains 15 years of data about IT-vacancies from 2006 to 2020 downloaded from hh.ru using their public API. This site contains about 3 million vacancy descriptions posted by mainly Russian companies.

This dataset can be used for analyzing trends in IT or for creating new educational programs.

Instructions: 

Just extract the files. Some vacancy descriptions are long, so make sure that your CSV library can work with them.

The list of columns are:
id
description
key_skills schedule_id
schedule_name
accept_handicapped
accept_kids
experience_id
experience_name
specializations
contacts
billing_type_id
billing_type_name
allow_messages
premium
driver_license_types
accept_incomplete_resumes
employer_id
employer_name
employer_vacancies_url
employer_trusted
employer_alternate_url
employer_industries
response_letter_required
type_id
type_name
has_test
response_url
test_required
salary_from
salary_to
salary_gross
salary_currency
archived
name
insider_interview
area_id
area_name
area_url
created_at
published_at
address_city
address_street
address_building
address_description
address_lat
address_lng
alternate_url
apply_alternate_url
code,department_id department_name
employment_id
employment_name
prof_classes_found
terms_found

The columns prof_classes_found and terms_found are computed by us.

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53 Views

For the task of detecting casualties and persons in search and rescue scenarios in drone images and videos, our database called SARD was built. The actors in the footage have simulate exhausted and injured persons as well as "classic" types of movement of people in nature, such as running, walking, standing, sitting, or lying down. Since different types of terrain and backgrounds determine possible events and scenarios in captured images and videos, the shots include persons on macadam roads, in quarries, low and high grass, forest shade, and the like.

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460 Views

Crowds express emotions as a collective individual, which is evident from the sounds that a crowd produces in particular events, e.g., collective booing, laughing or cheering in sports matches, movies, theaters, concerts, political demonstrations, and riots.

Instructions: 

Extract locally the zip files, read the readme file.

Instructions for dataset usage are included in the open access paper: Franzoni, V., Biondi, G., Milani, A., Emotional sounds of crowds: spectrogram-based analysis using deep learning (2020) Multimedia Tools and Applications, 79 (47-48), pp. 36063-36075. https://doi.org/10.1007/s11042-020-09428-x

File are released under Creative Commons Attribution-ShareAlike 4.0 International License

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168 Views

The Magnetic Resonance – Computed Tomography (MR-CT) Jordan University Hospital (JUH) dataset has been collected after receiving Institutional Review Board (IRB) approval of the hospital and consent forms have been obtained from all patients. All procedures followed are consistent with the ethics of handling patients’ data.

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485 Views

The Magnetic Resonance – Computed Tomography (MR-CT) Jordan University Hospital (JUH) dataset has been collected after receiving Institutional Review Board (IRB) approval of the hospital and consent forms have been obtained from all patients. All procedures followed are consistent with the ethics of handling patients’ data.

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175 Views

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