Recent US Census Data the American Community Survey,

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35 Views

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.

 

Instructions: 

This excel (.xlxs) data has 9 sheets. this is the following information about each sheet:

1. Scopus

This sheet provides a list of journals indexed by Scopus. Last Updated: 10/2020
 

2. Scopus - More info Medline

This sheet provides information about Medical Literature Analysis and Retrieval System Online (MEDLINE) Journal 

Note: Scopus has a 100% overlap with Medline titles. The majority of those titles are also received via the publisher, however, approximately 20% of the Medline titles are fed directly from Medline into Scopus. As a result, these titles often have a delay in being loaded into Scopus, do not contain references and only the first author affiliation is available. 

 

3. Scopus - ASJC class codes

This sheet provides information about the classification code of scope/sub-scope on the journal. this data has information related to Sheet 1: Scopus

 

4. WoS - SSCI 

This sheet provides a list of journals indexed by Web of Science (WoS) in the index category: Social Sciences Citation Index (SSCI). Last Updated: 02/2021

 

5. WoS - SSCIE

This sheet provides a list of journals indexed by Web of Science (WoS) in the index category: Science Citation Index Expanded (SSCIE). Last Updated: 02/2021

 

6. WoS - ESCI

This sheet provides a list of journals indexed by Web of Science (WoS) in the index category: Emerging Sources Citation Index (ESCI). Last Updated: 02/2021

 

7. WoS - AHCI  

This sheet provides a list of journals indexed by Web of Science (WoS) in the index category: Arts & Humanities Citation Index (AHCI). Last Updated: 02/2021

 

8. DOAJ - Added List

This sheet provides a list of journals indexed by Directory of Open Access Journals (DOAJ). Last Updated: 02/2021

Note: The DOAJ Seal

The DOAJ Seal is awarded to journals that demonstrate best practices in open access publishing. Around 10% of journals indexed in DOAJ have been awarded the Seal. Journals do not need to meet the Seal criteria to be accepted into DOAJ.

 

9. DOAJ - Removed List

This sheet provides a list of journals NOT LONGER indexed by Directory of Open Access Journals (DOAJ). Last Updated: 02/2021

 

More information about this dataset can reach at muhammadsabirinhadis@ieee.org

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178342 Views

 

The data include:

  • Demographic data of the participants including: gender, group of participation and number of years in the company.
  • Results of the use of Ethool including: expended time and subjective evaluation of if using a Likert of 5 points. Two different files are available corresponding to each iteration (prototype 1 and prototype 2).
  • Results of the SUS questionnaire for both iterations (prototype 1 and prototype 2).
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60 Views

 

The Cross-sectional Diabetes Risk survey aims to assess the prevalence of diabetes and its risk factors at the same point in time and also provide a "snapshot" of diseases and risk factors simultaneously for individuals belonging to the western region of the Kingdom of Saudi Arabia (KSA).

 

Instructions: 

The survey is available at the following URL:

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https://www.munnamotorgarage.com/fcitrabet/saudi_diabetise_survey_2019-2....

 

The instructions for the use of the dataset and analysis tools are available in our submitted manuscript

(Machine Learning-Based Application for Predicting Risk of Type 2 Diabetes mellitus (T2DM) in Saudi Arabia: A Retrospective Cross-sectional Study) on IEEE access for review.

 

 

 

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368 Views

This repository introduces a novel dataset for the classification of Chronic Obstructive Pulmonary Disease (COPD) patients and Healthy Controls. The Exasens dataset includes demographic information on 4 groups of saliva samples (COPD-HC-Asthma-Infected) collected in the frame of a joint research project, Exasens (https://www.leibniz-healthtech.de/en/research/projects/bmbf-project-exasens/), at the Research Center Borstel, BioMaterialBank Nord (Borstel, Germany).

Instructions: 

 

Definition of 4 sample groups included within the Exasens dataset:

(I) Outpatients and hospitalized patients with COPD without acute respiratory infection (COPD).

(II) Outpatients and hospitalized patients with asthma without acute respiratory infections (Asthma).

(III) Patients with respiratory infections, but without COPD or asthma (Infected).

(IV) Healthy controls without COPD, asthma, or any respiratory infection (HC).

Attribute Information:

1- Diagnosis (COPD-HC-Asthma-Infected)

2- ID

3- Age

4- Gender (1=male, 0=female)

5- Smoking Status (1=Non-smoker, 2=Ex-smoker, 3=Active-smoker)

6- Saliva Permittivity:

a) Imaginary part (Min(Δ)=Absolute minimum value, Avg.(Δ)=Average)

b) Real part (Min(Δ)=Absolute minimum value, Avg.(Δ)=Average)

In case of using the introduced Exasens dataset or the proposed classification methods, please cite either of following references:

  • P. S. Zarrin, N. Roeckendorf and C. Wenger., "In-vitro Classification of Saliva Samples of COPD Patients and Healthy Controls Using Machine Learning Tools," in IEEE Access, doi: 10.1109/ACCESS.2020.3023971.

  • P.S. Zarrin, Zahari, F., Mahadevaiah, M.K. et al. Neuromorphic on-chip recognition of saliva samples of COPD and healthy controls using memristive devices. Sci Rep 10, 19742 (2020). https://doi.org/10.1038/s41598-020-76823-7

  • Soltani Zarrin, P.; Ibne Jamal, F.; Roeckendorf, N.; Wenger, C. Development of a Portable Dielectric Biosensor for Rapid Detection of Viscosity Variations and Its In Vitro Evaluations Using Saliva Samples of COPD Patients and Healthy Control. Healthcare 2019, 7, 11.

  • Soltani Zarrin, P.; Jamal, F.I.; Guha, S.; Wessel, J.; Kissinger, D.; Wenger, C. Design and Fabrication of a BiCMOS Dielectric Sensor for Viscosity Measurements: A Possible Solution for Early Detection of COPD. Biosensors 2018, 8, 78.

  • P.S. Zarrin and C. Wenger. Pattern Recognition for COPD Diagnostics Using an Artificial Neural Network and Its Potential Integration on Hardware-based Neuromorphic Platforms. Springer Lecture Notes in Computer Science (LNCS), Vol. 11731, pp. 284-288, 2019.

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954 Views

The dataset consists of reviews for various hotels throughout the world and data columns range from Location, Trip Type to various parameters of reviewing with individual review score. The data can be preprocessed and used for various purposes ranging from review categorization, topic extraction, sentiment analysis, location based quality calculation etc. Trustworthy real world data comes handy now-a-days and is tough to get a grasp on. So this dataset will be a good contribution for the researcher community as well as professionals. 

 

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6167 Views

This data set includes records of the student data, data descriptions, student demographic survey, class size from students to participated in the 10 program Personal Software Process course.

This version of the course was delivered between 1995 and 2006. 

The data was collected by the Software Engineering Institute (SEI) from classes taught by SEI staff and class data submitted by authorized instructors. 

 

Instructions: 

PSP_MarkingsSoftware Institute Markings designation Authors   William R. Nichols, Jr wrn@sei.cmu.edu James W. Over  James D. McHale  Dan Burton  Watts Humphrey    

All data is in table form and stored as comma separated values. If redistributing, please keep all tabs, including the Markings.

Before using any of this data, it is necessary to be familiar with the PSP frameworks described in "Discipline for Software Engineering" by Watts Humphrey

The programming exercises are provided in the link  to Personal Software Process (PSP) for Engineers Version 3.2.1 Course Materials  Additional resourses are also provided in the links. We recommend contacting the first author  for review if you wish to use the data for research. 

 

 

 

 

 

Tabs

descriptionnotesPSP_DescriptionsList of data records in each tab along with brief description PSP_Student_Assgt_Data_38340Student data records by assignmentnot all students completed all assignments,  all students were provided the same assignment packages with the exceptin that instructions for assignment 10 vaied between PSP 2.1 and PSP 3.0PSP_Student_Survey  PSP_ClassesData and size of PSP class 

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529 Views

Datasets contain survey data of 873 rural poor households in the states of Maharashtra, Odisha, Madhya Pradesh, and Rajasthan.

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529 Views

Test synthetic population produced with WEKA 3.8.

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734 Views

Every year the CDC releases the country’s most detailed report on death in the United States under the National Vital Statistics Systems. This mortality dataset is a record of every death in the country for the year 2014, which includes detailed information about causes of death and the demographic background of the deceased.
 
It's been said that "statistics are human beings with the tears wiped off." This is especially true with this dataset. Each death record represents somebody's loved one, often connected with a lifetime of memories and sometimes tragically too short.

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698 Views