Dataset angin adalah





This dataset supports researchers in the validation process of solutions such as Intrusion Detection Systems (IDS) based on artificial intelligence and machine learning techniques for the detection and categorization of threats in Cyber Physical Systems (CPS). To that aim, data have been acquired from a water distribution hardware-in-the-loop testbed which emulates water passage between nine tanks via solenoid-valves, pumps, pressure and flow sensors. The testbed is composed by a real partition which is virtually connected to a simulated one.


This dataset has related to the paper "A hardware-in-the-loop Water Distribution Testbed (WDT) dataset for cyber-physical security testing".
We provide four different acquisitions:
1) A normal acquisition without attacks ("normal.csv" for network traffic and "dataset_norm.csv" for physical measures)
2) Three acquisitions where different types of attacks and physical faults are reproduced ("attack_1.csv", "attack_2.csv" and "attack_3.csv" for network traffic and "dataset_att_1.csv", "dataset_att_2.csv" and "dataset_att_3.csv" for physical measures)
In addition to .csv files we provide four .pcap files ("attack_1.pcap", "attack_2.pcap", "attack_3.pcap" and "normal.pcap") which refer to network acquisitions for the four previous scenarios.
A README.xlsx file summarizes the key features of the entire dataset.


<p><span class="fontstyle0">Software architecture is the most important determinant<br />to systematically achieve quality attributes in a software<br />system, including software performance. However there is no<br />comprehensive understanding of why and how to integrate<br />software architecture and performance analysis to guide research.<br />To fill this gap, this paper presents a systematic review of 83<br />studies.


Bitcoin block format file obtained by Bitcoin-ETL (blk00000000-blk00159999)


All dataset required for this journal are in the attachement.

The code to extract the sentiment is attached too.


MovieLens 1M movie ratings. Stable benchmark dataset. 1 million ratings from 6000 users on 4000 movies. Released 2/2003.


This dataset has been developed based on the work of the GeoCOV19Tweets Dataset. The original work by Lamsal, R. runs network analysis on a similar dataset to understand the underlying relationship between countries and hashtags. The work did an analysis on roughly 300k number of [country, hashtag] relations from 190 countries and territories, and 5055 unique hashtags. This work pushes the number of relationships by 3 times.


This dataset provides [place, hashtag] relationships in a Comma-separated values (CSV) file. Each line represents a relationship. You can simply use the CSV file as per your research needs.

However, if you need to change the place entity from city (currently the dataset uses ["place"]["name"] object) to country, you'll have to consider the ["place"]["country"] object instead. The sample script is provided with this dataset. The script takes in a list of tweet IDs present in a CSV file and hydrates the IDs to extract places and hashtags relationships. The script is written for twarc.


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.


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. 


Sparse triangular solves (SpTRSVs) are widely used in linear algebra domains, and several GPU-based SpTRSV algorithms have been developed. Synchronization-free SpTRSVs, due to their short preprocessing time and high performance, are currently the most popular SpTRSV algorithms. However, we observe that the performance of those SpTRSV algorithms on different matrices can vary greatly by 845 times. Our further studies show that when the average number of components per level is high and the average number of nonzero elements per row is low, those SpTRSVs exhibit extremely low performance.


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.



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