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Data for Emerging Trends in Collaborative Modelling: A Survey


This data was collected as part of the Supplemental Material for Emerging Trends in Collaborative Modelling: A Survey paper. You can use the txt files on https://www.wordclouds.com/

 

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Dataset Details

Citation Author(s):
Submitted by:
Matthew Stephan
Last updated:
Wed, 12/06/2017 - 18:43
DOI:
10.21227/H25D2S
Data Format:
Links:
 
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[1] , "Data for Emerging Trends in Collaborative Modelling: A Survey", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H25D2S. Accessed: Dec. 12, 2017.
@data{h25d2s-17,
doi = {10.21227/H25D2S},
url = {http://dx.doi.org/10.21227/H25D2S},
author = { },
publisher = {IEEE Dataport},
title = {Data for Emerging Trends in Collaborative Modelling: A Survey},
year = {2017} }
TY - DATA
T1 - Data for Emerging Trends in Collaborative Modelling: A Survey
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H25D2S
ER -
. (2017). Data for Emerging Trends in Collaborative Modelling: A Survey. IEEE Dataport. http://dx.doi.org/10.21227/H25D2S
, 2017. Data for Emerging Trends in Collaborative Modelling: A Survey. Available at: http://dx.doi.org/10.21227/H25D2S.
. (2017). "Data for Emerging Trends in Collaborative Modelling: A Survey." Web.
1. . Data for Emerging Trends in Collaborative Modelling: A Survey [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H25D2S
. "Data for Emerging Trends in Collaborative Modelling: A Survey." doi: 10.21227/H25D2S

Is There a Robust Technique for Selecting Aspect Ratios in Line Charts?


Tested dataset  of the paper "Is there a Robust Technique for Selecting Aspect Ratios in Line Charts?" by Yunhai Wang and Zeyu Wang et al. under the minor revision of IEEE TVCG.

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Dataset Details

Citation Author(s):
Submitted by:
Zeyu Wang
Last updated:
Tue, 12/05/2017 - 01:18
DOI:
10.21227/H2C35P
Data Format:
Links:
 
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Documentation

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[1] , "Is There a Robust Technique for Selecting Aspect Ratios in Line Charts?", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2C35P. Accessed: Dec. 12, 2017.
@data{h2c35p-17,
doi = {10.21227/H2C35P},
url = {http://dx.doi.org/10.21227/H2C35P},
author = { },
publisher = {IEEE Dataport},
title = {Is There a Robust Technique for Selecting Aspect Ratios in Line Charts?},
year = {2017} }
TY - DATA
T1 - Is There a Robust Technique for Selecting Aspect Ratios in Line Charts?
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2C35P
ER -
. (2017). Is There a Robust Technique for Selecting Aspect Ratios in Line Charts?. IEEE Dataport. http://dx.doi.org/10.21227/H2C35P
, 2017. Is There a Robust Technique for Selecting Aspect Ratios in Line Charts?. Available at: http://dx.doi.org/10.21227/H2C35P.
. (2017). "Is There a Robust Technique for Selecting Aspect Ratios in Line Charts?." Web.
1. . Is There a Robust Technique for Selecting Aspect Ratios in Line Charts? [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2C35P
. "Is There a Robust Technique for Selecting Aspect Ratios in Line Charts?." doi: 10.21227/H2C35P

Projectiles Optimization (PRO) algorithm


This is the source code (MATLAB) of the projectiles optimization (PRO) algorithm.

 

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Citation Author(s):
Submitted by:
mohammad rasoul...
Last updated:
Sun, 11/19/2017 - 08:07
DOI:
10.21227/H2TK92
Data Format:
 
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[1] , "Projectiles Optimization (PRO) algorithm", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2TK92. Accessed: Dec. 12, 2017.
@data{h2tk92-17,
doi = {10.21227/H2TK92},
url = {http://dx.doi.org/10.21227/H2TK92},
author = { },
publisher = {IEEE Dataport},
title = {Projectiles Optimization (PRO) algorithm},
year = {2017} }
TY - DATA
T1 - Projectiles Optimization (PRO) algorithm
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2TK92
ER -
. (2017). Projectiles Optimization (PRO) algorithm. IEEE Dataport. http://dx.doi.org/10.21227/H2TK92
, 2017. Projectiles Optimization (PRO) algorithm. Available at: http://dx.doi.org/10.21227/H2TK92.
. (2017). "Projectiles Optimization (PRO) algorithm." Web.
1. . Projectiles Optimization (PRO) algorithm [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2TK92
. "Projectiles Optimization (PRO) algorithm." doi: 10.21227/H2TK92

SUT-Lips-DB - A database of lips traces


A database of lips traces
Cheiloscopy is a forensic investigation technique that deals with identification of humans based on lips traces. Lip prints are unique and permanent for each individual, and next to the fingerprinting, dental identification, and DNA analysis can be one of the basis for criminal/forensics analysis.

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Citation Author(s):
Submitted by:
Dariusz Mrozek
Last updated:
Fri, 11/03/2017 - 09:56
DOI:
10.21227/H2R04P
Data Format:
Links:
 
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[1] , "SUT-Lips-DB - A database of lips traces", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2R04P. Accessed: Dec. 12, 2017.
@data{h2r04p-17,
doi = {10.21227/H2R04P},
url = {http://dx.doi.org/10.21227/H2R04P},
author = { },
publisher = {IEEE Dataport},
title = {SUT-Lips-DB - A database of lips traces},
year = {2017} }
TY - DATA
T1 - SUT-Lips-DB - A database of lips traces
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2R04P
ER -
. (2017). SUT-Lips-DB - A database of lips traces. IEEE Dataport. http://dx.doi.org/10.21227/H2R04P
, 2017. SUT-Lips-DB - A database of lips traces. Available at: http://dx.doi.org/10.21227/H2R04P.
. (2017). "SUT-Lips-DB - A database of lips traces." Web.
1. . SUT-Lips-DB - A database of lips traces [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2R04P
. "SUT-Lips-DB - A database of lips traces." doi: 10.21227/H2R04P

Citation dynamics of individual papers of several journals


This dataset contains citation dynamics of individual papers published in several journals including ACM, Cell, IEEE, Nature, Science, NEJM, PNAS, Physical Review (PR), PRL. Each txt file contains citation dynamics (up to 2014) of papers published in a particular journal in a particular year. For example, ieee1985.txt contains citation dynamics of papers published in IEEE in 1985. Note that the citation counts of year 2014 are incomplete as this dataset was collected in summer 2014.

 

If you use this dataset, please cite the following paper:

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Dataset Details

Citation Author(s):
Submitted by:
Xuanyu Cao
Last updated:
Thu, 07/27/2017 - 21:04
DOI:
10.21227/H2H34J
Data Format:
 
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[1] , "Citation dynamics of individual papers of several journals", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2H34J. Accessed: Dec. 12, 2017.
@data{h2h34j-17,
doi = {10.21227/H2H34J},
url = {http://dx.doi.org/10.21227/H2H34J},
author = { },
publisher = {IEEE Dataport},
title = {Citation dynamics of individual papers of several journals},
year = {2017} }
TY - DATA
T1 - Citation dynamics of individual papers of several journals
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2H34J
ER -
. (2017). Citation dynamics of individual papers of several journals. IEEE Dataport. http://dx.doi.org/10.21227/H2H34J
, 2017. Citation dynamics of individual papers of several journals. Available at: http://dx.doi.org/10.21227/H2H34J.
. (2017). "Citation dynamics of individual papers of several journals." Web.
1. . Citation dynamics of individual papers of several journals [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2H34J
. "Citation dynamics of individual papers of several journals." doi: 10.21227/H2H34J

Real-life Power Quality Sags


The distributed generation, along with the deregulation of the Smart Grid, have created a great concern on Power Quality (PQ), as it has a direct impact on utilities and customers, as well as effects on the sinusoidal signal of the power line. The a priori unknown features of the distributed energy resources (DER) introduce non-linear behaviours in loads associated to a variety of PQ disturbances.

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Dataset Details

Citation Author(s):
Submitted by:
Juan Jose Gonza...
Last updated:
Thu, 05/11/2017 - 08:33
DOI:
10.21227/H2K88D
Data Format:
Links:
 
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[1] , "Real-life Power Quality Sags ", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2K88D. Accessed: Dec. 12, 2017.
@data{h2k88d-17,
doi = {10.21227/H2K88D},
url = {http://dx.doi.org/10.21227/H2K88D},
author = { },
publisher = {IEEE Dataport},
title = {Real-life Power Quality Sags },
year = {2017} }
TY - DATA
T1 - Real-life Power Quality Sags
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2K88D
ER -
. (2017). Real-life Power Quality Sags . IEEE Dataport. http://dx.doi.org/10.21227/H2K88D
, 2017. Real-life Power Quality Sags . Available at: http://dx.doi.org/10.21227/H2K88D.
. (2017). "Real-life Power Quality Sags ." Web.
1. . Real-life Power Quality Sags [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2K88D
. "Real-life Power Quality Sags ." doi: 10.21227/H2K88D

Real-life Power Quality Transients


The aim of the database consists of providing the researchers with a collection of power quality real-life impulsive events to test experiments and measurement instruments. The dataset provides signals recordings from the power network of the University of Cádiz during the last five years (electrical network according to the UNE-EN-50160: 2011).

The dataset offers a diversity of real impulsive events, which are specifically acquired in order to test Power Quality Instruments according to the UNE-IEC 61000-4-11: 2005.

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Dataset Details

Citation Author(s):
Submitted by:
Juan Jose Gonza...
Last updated:
Thu, 05/11/2017 - 08:15
DOI:
10.21227/H2Q30W
Data Format:
Links:
 
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[1] , "Real-life Power Quality Transients ", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2Q30W. Accessed: Dec. 12, 2017.
@data{h2q30w-17,
doi = {10.21227/H2Q30W},
url = {http://dx.doi.org/10.21227/H2Q30W},
author = { },
publisher = {IEEE Dataport},
title = {Real-life Power Quality Transients },
year = {2017} }
TY - DATA
T1 - Real-life Power Quality Transients
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2Q30W
ER -
. (2017). Real-life Power Quality Transients . IEEE Dataport. http://dx.doi.org/10.21227/H2Q30W
, 2017. Real-life Power Quality Transients . Available at: http://dx.doi.org/10.21227/H2Q30W.
. (2017). "Real-life Power Quality Transients ." Web.
1. . Real-life Power Quality Transients [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2Q30W
. "Real-life Power Quality Transients ." doi: 10.21227/H2Q30W

Costas arrays and enumeration to order 1030


Costas arrays are permutation matrices that meet the added Costas condition that, when used as a frequency-hop scheme, allow at most one time-and-frequency-offset signal bin to overlap another.  Databases to various orders have been available for many years.  Here we have a database that is far more extensive than any available before it.  A very powerful and easy-to-use Windows utility with a GUI accompanies the database.

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Citation Author(s):
Submitted by:
James Beard
Last updated:
Mon, 05/08/2017 - 14:10
DOI:
10.21227/H21P42
Data Format:
Links:
 
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Documentation

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[1] , "Costas arrays and enumeration to order 1030", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H21P42. Accessed: Dec. 12, 2017.
@data{h21p42-17,
doi = {10.21227/H21P42},
url = {http://dx.doi.org/10.21227/H21P42},
author = { },
publisher = {IEEE Dataport},
title = {Costas arrays and enumeration to order 1030},
year = {2017} }
TY - DATA
T1 - Costas arrays and enumeration to order 1030
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H21P42
ER -
. (2017). Costas arrays and enumeration to order 1030. IEEE Dataport. http://dx.doi.org/10.21227/H21P42
, 2017. Costas arrays and enumeration to order 1030. Available at: http://dx.doi.org/10.21227/H21P42.
. (2017). "Costas arrays and enumeration to order 1030." Web.
1. . Costas arrays and enumeration to order 1030 [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H21P42
. "Costas arrays and enumeration to order 1030." doi: 10.21227/H21P42

COMPSAC 2017: Big Data Analytics Competition


IEEE Big Data is proud to announce the next competition in our series of Data Analytics & Visualization Competitions. It will be held at IEEE COMPSAC 2017, 4-8 July 2017 in Torino, Italy, and is open to all attendees of the conference.


The submission period for this data competition has ended.

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Dataset Details

Citation Author(s):
Submitted by:
Chris Franzino
Last updated:
Tue, 08/08/2017 - 10:51
DOI:
10.21227/H25C7B
Data Format:
Links:
 
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[1] , "COMPSAC 2017: Big Data Analytics Competition", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H25C7B. Accessed: Dec. 12, 2017.
@data{h25c7b-17,
doi = {10.21227/H25C7B},
url = {http://dx.doi.org/10.21227/H25C7B},
author = { },
publisher = {IEEE Dataport},
title = {COMPSAC 2017: Big Data Analytics Competition},
year = {2017} }
TY - DATA
T1 - COMPSAC 2017: Big Data Analytics Competition
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H25C7B
ER -
. (2017). COMPSAC 2017: Big Data Analytics Competition. IEEE Dataport. http://dx.doi.org/10.21227/H25C7B
, 2017. COMPSAC 2017: Big Data Analytics Competition. Available at: http://dx.doi.org/10.21227/H25C7B.
. (2017). "COMPSAC 2017: Big Data Analytics Competition." Web.
1. . COMPSAC 2017: Big Data Analytics Competition [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H25C7B
. "COMPSAC 2017: Big Data Analytics Competition." doi: 10.21227/H25C7B

Web Data Commons - Hyperlink Graphs


The graphs have been extracted from the 2012 and 2014 versions of the Common Crawl web corpera. The 2012 graph covers 3.5 billion web pages and 128 billion hyperlinks between these pages. To the best of our knowledge, the graph is the largest hyperlink graph that is available to the public outside companies such as Google, Yahoo, and Microsoft. The2014 graph covers 1.7 billion web pages connected by 64 billion hyperlinks.

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Citation Author(s):
Submitted by:
Alexander Outman
Last updated:
Wed, 01/18/2017 - 16:36
DOI:
10.21227/H23S3B
Data Format:
Links:
 
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Categories & Keywords

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[1] , "Web Data Commons - Hyperlink Graphs", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H23S3B. Accessed: Dec. 12, 2017.
@data{h23s3b-17,
doi = {10.21227/H23S3B},
url = {http://dx.doi.org/10.21227/H23S3B},
author = { },
publisher = {IEEE Dataport},
title = {Web Data Commons - Hyperlink Graphs},
year = {2017} }
TY - DATA
T1 - Web Data Commons - Hyperlink Graphs
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H23S3B
ER -
. (2017). Web Data Commons - Hyperlink Graphs. IEEE Dataport. http://dx.doi.org/10.21227/H23S3B
, 2017. Web Data Commons - Hyperlink Graphs. Available at: http://dx.doi.org/10.21227/H23S3B.
. (2017). "Web Data Commons - Hyperlink Graphs." Web.
1. . Web Data Commons - Hyperlink Graphs [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H23S3B
. "Web Data Commons - Hyperlink Graphs." doi: 10.21227/H23S3B

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