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Software Defect


Our defect dataset, comes from PROMISErepository. This data refers to open-source Java systems such as ant, camel, ivy, jedit, log4j, lucene, poi, synapse, velocity and xerces. We selected these datasets since they have at least three consecutive releases (where release i was built before release i+1). This will allow us to build defect predictors based on the past data and then predict (test) defects on future version projects, which will be a more practical scenario.

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Dataset Details

Citation Author(s):
Submitted by:
Arjun Rajpal
Last updated:
Tue, 02/20/2018 - 11:37
DOI:
10.21227/H2K078
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[1] , "Software Defect", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H2K078. Accessed: Feb. 20, 2018.
@data{h2k078-18,
doi = {10.21227/H2K078},
url = {http://dx.doi.org/10.21227/H2K078},
author = { },
publisher = {IEEE Dataport},
title = {Software Defect},
year = {2018} }
TY - DATA
T1 - Software Defect
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H2K078
ER -
. (2018). Software Defect. IEEE Dataport. http://dx.doi.org/10.21227/H2K078
, 2018. Software Defect. Available at: http://dx.doi.org/10.21227/H2K078.
. (2018). "Software Defect." Web.
1. . Software Defect [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H2K078
. "Software Defect." doi: 10.21227/H2K078

Sample Data Sets and Source Codes for STAR/MD-STAR Evaluation


Data and source code related to the IEEE TWC submission titled "STAR: STochastically-dominant Access point selection algoRithm".  The URL of Bitbucket repository hosting the source code is: https://YuBai@bitbucket.org/YuBai/cpn-realtime-ns3sourcecode.git.  

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Dataset Details

Citation Author(s):
Submitted by:
Yu Bai
Last updated:
Thu, 01/25/2018 - 12:46
DOI:
10.21227/H2S074
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[1] , "Sample Data Sets and Source Codes for STAR/MD-STAR Evaluation", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H2S074. Accessed: Feb. 20, 2018.
@data{h2s074-18,
doi = {10.21227/H2S074},
url = {http://dx.doi.org/10.21227/H2S074},
author = { },
publisher = {IEEE Dataport},
title = {Sample Data Sets and Source Codes for STAR/MD-STAR Evaluation},
year = {2018} }
TY - DATA
T1 - Sample Data Sets and Source Codes for STAR/MD-STAR Evaluation
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H2S074
ER -
. (2018). Sample Data Sets and Source Codes for STAR/MD-STAR Evaluation. IEEE Dataport. http://dx.doi.org/10.21227/H2S074
, 2018. Sample Data Sets and Source Codes for STAR/MD-STAR Evaluation. Available at: http://dx.doi.org/10.21227/H2S074.
. (2018). "Sample Data Sets and Source Codes for STAR/MD-STAR Evaluation." Web.
1. . Sample Data Sets and Source Codes for STAR/MD-STAR Evaluation [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H2S074
. "Sample Data Sets and Source Codes for STAR/MD-STAR Evaluation." doi: 10.21227/H2S074

Example datasets for AtyImo (Spark version)


## FEDERAL UNIVERSITY OF BAHIA (UFBA)
## ATYIMOLAB (www.atyimolab.ufba.br)
## University College London (UCL)
## Denaxas Lab (www.denaxaslab.org)
## Robespierre Pita and Clicia Pinto and Marcos Barreto and Spiros Denaxas
 
/*
@(#)File:           $atyimo_dataset_info.txt$
@(#)Version:        $v1$
@(#)Last changed:   $Date: 2017/12/04 12:00:00 $
@(#)Purpose:        Example data sets for the AtyImo data linkage tool

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Dataset Details

Citation Author(s):
Submitted by:
Marcos Barreto
Last updated:
Tue, 12/12/2017 - 17:53
DOI:
10.21227/H2K92G
Data Format:
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[1] , "Example datasets for AtyImo (Spark version)", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2K92G. Accessed: Feb. 20, 2018.
@data{h2k92g-17,
doi = {10.21227/H2K92G},
url = {http://dx.doi.org/10.21227/H2K92G},
author = { },
publisher = {IEEE Dataport},
title = {Example datasets for AtyImo (Spark version)},
year = {2017} }
TY - DATA
T1 - Example datasets for AtyImo (Spark version)
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2K92G
ER -
. (2017). Example datasets for AtyImo (Spark version). IEEE Dataport. http://dx.doi.org/10.21227/H2K92G
, 2017. Example datasets for AtyImo (Spark version). Available at: http://dx.doi.org/10.21227/H2K92G.
. (2017). "Example datasets for AtyImo (Spark version)." Web.
1. . Example datasets for AtyImo (Spark version) [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2K92G
. "Example datasets for AtyImo (Spark version)." doi: 10.21227/H2K92G

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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Citation Author(s):
Submitted by:
Zeyu Wang
Last updated:
Tue, 12/05/2017 - 01:18
DOI:
10.21227/H2C35P
Data Format:
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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: Feb. 20, 2018.
@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

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
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[1] , "Real-life Power Quality Sags ", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2K88D. Accessed: Feb. 20, 2018.
@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:
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[1] , "Real-life Power Quality Transients ", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2Q30W. Accessed: Feb. 20, 2018.
@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

TST Footwear-Based dataset for Fall Detection (TST FB4FD)


The TST FB4FD dataset contains data acquired through a pair of smart shoes. The smart shoes are specifically designed for fall detection purposes and are equipped respectively with 3 Force Sensing Resistors (FSRs) and an inertial unit.  More specifically, the dataset consists of 32 different falls and 8 activities of daily living (ADLs) performed by 17 healthy subjects aged between 21 and 55 years, for a total of 544 falls and 136 ADLs sequences .

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Dataset Details

Citation Author(s):
Submitted by:
Laura Montanini
Last updated:
Tue, 04/11/2017 - 11:11
DOI:
10.21227/H2W01S
Data Format:
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[1] , "TST Footwear-Based dataset for Fall Detection (TST FB4FD)", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2W01S. Accessed: Feb. 20, 2018.
@data{h2w01s-17,
doi = {10.21227/H2W01S},
url = {http://dx.doi.org/10.21227/H2W01S},
author = { },
publisher = {IEEE Dataport},
title = {TST Footwear-Based dataset for Fall Detection (TST FB4FD)},
year = {2017} }
TY - DATA
T1 - TST Footwear-Based dataset for Fall Detection (TST FB4FD)
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2W01S
ER -
. (2017). TST Footwear-Based dataset for Fall Detection (TST FB4FD). IEEE Dataport. http://dx.doi.org/10.21227/H2W01S
, 2017. TST Footwear-Based dataset for Fall Detection (TST FB4FD). Available at: http://dx.doi.org/10.21227/H2W01S.
. (2017). "TST Footwear-Based dataset for Fall Detection (TST FB4FD)." Web.
1. . TST Footwear-Based dataset for Fall Detection (TST FB4FD) [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2W01S
. "TST Footwear-Based dataset for Fall Detection (TST FB4FD)." doi: 10.21227/H2W01S

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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OPEN ACCESS Dataset Details

Citation Author(s):
Submitted by:
James Beard
Last updated:
Mon, 05/08/2017 - 14:10
DOI:
10.21227/H21P42
Data Format:
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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: Feb. 20, 2018.
@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

TST TUG dataset


The dataset contains depth frames and skeleton joints collected using Microsoft Kinect v2 and acceleration samples provided by an IMU during the execution of the timed up and go test.

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Dataset Details

Citation Author(s):
Submitted by:
Susanna Spinsante
Last updated:
Fri, 01/06/2017 - 15:47
DOI:
10.21227/H2KW2B
Data Format:
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[1] , "TST TUG dataset ", IEEE Dataport, 2016. [Online]. Available: http://dx.doi.org/10.21227/H2KW2B. Accessed: Feb. 20, 2018.
@data{h2kw2b-16,
doi = {10.21227/H2KW2B},
url = {http://dx.doi.org/10.21227/H2KW2B},
author = { },
publisher = {IEEE Dataport},
title = {TST TUG dataset },
year = {2016} }
TY - DATA
T1 - TST TUG dataset
AU -
PY - 2016
PB - IEEE Dataport
UR - 10.21227/H2KW2B
ER -
. (2016). TST TUG dataset . IEEE Dataport. http://dx.doi.org/10.21227/H2KW2B
, 2016. TST TUG dataset . Available at: http://dx.doi.org/10.21227/H2KW2B.
. (2016). "TST TUG dataset ." Web.
1. . TST TUG dataset [Internet]. IEEE Dataport; 2016. Available from : http://dx.doi.org/10.21227/H2KW2B
. "TST TUG dataset ." doi: 10.21227/H2KW2B

TST Fall detection dataset v2


The dataset contains depth frames and skeleton joints collected using Microsoft Kinect v2 and acceleration samples provided by an IMU during the simulation of ADLs and falls.

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Dataset Details

Citation Author(s):
Submitted by:
Susanna Spinsante
Last updated:
Fri, 01/06/2017 - 15:26
DOI:
10.21227/H2QP48
Data Format:
Links:
 
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[1] , "TST Fall detection dataset v2", IEEE Dataport, 2016. [Online]. Available: http://dx.doi.org/10.21227/H2QP48. Accessed: Feb. 20, 2018.
@data{h2qp48-16,
doi = {10.21227/H2QP48},
url = {http://dx.doi.org/10.21227/H2QP48},
author = { },
publisher = {IEEE Dataport},
title = {TST Fall detection dataset v2},
year = {2016} }
TY - DATA
T1 - TST Fall detection dataset v2
AU -
PY - 2016
PB - IEEE Dataport
UR - 10.21227/H2QP48
ER -
. (2016). TST Fall detection dataset v2. IEEE Dataport. http://dx.doi.org/10.21227/H2QP48
, 2016. TST Fall detection dataset v2. Available at: http://dx.doi.org/10.21227/H2QP48.
. (2016). "TST Fall detection dataset v2." Web.
1. . TST Fall detection dataset v2 [Internet]. IEEE Dataport; 2016. Available from : http://dx.doi.org/10.21227/H2QP48
. "TST Fall detection dataset v2." doi: 10.21227/H2QP48