CSV

malicious and benign websites


One important topic to work is to create a good set of malicious web characteristics, because it is difficult to find one updated and with a research work to support it .

 

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Dataset Details

Citation Author(s):
Submitted by:
Christian Urcuqui
Last updated:
Wed, 12/27/2017 - 23:27
DOI:
10.21227/H26Q1T
Data Format:
Links:
 
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[1] , "malicious and benign websites", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H26Q1T. Accessed: Jan. 18, 2018.
@data{h26q1t-17,
doi = {10.21227/H26Q1T},
url = {http://dx.doi.org/10.21227/H26Q1T},
author = { },
publisher = {IEEE Dataport},
title = {malicious and benign websites},
year = {2017} }
TY - DATA
T1 - malicious and benign websites
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H26Q1T
ER -
. (2017). malicious and benign websites. IEEE Dataport. http://dx.doi.org/10.21227/H26Q1T
, 2017. malicious and benign websites. Available at: http://dx.doi.org/10.21227/H26Q1T.
. (2017). "malicious and benign websites." Web.
1. . malicious and benign websites [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H26Q1T
. "malicious and benign websites." doi: 10.21227/H26Q1T

Non-Resonant Kinetic Energy Harvesting using Macro-Fiber Composite Patch

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Citation Author(s):
Submitted by:
Emanuele Ruffaldi
Last updated:
Fri, 12/22/2017 - 08:06
DOI:
10.21227/H2CD31
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[1] , "Non-Resonant Kinetic Energy Harvesting using Macro-Fiber Composite Patch", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2CD31. Accessed: Jan. 18, 2018.
@data{h2cd31-17,
doi = {10.21227/H2CD31},
url = {http://dx.doi.org/10.21227/H2CD31},
author = { },
publisher = {IEEE Dataport},
title = {Non-Resonant Kinetic Energy Harvesting using Macro-Fiber Composite Patch},
year = {2017} }
TY - DATA
T1 - Non-Resonant Kinetic Energy Harvesting using Macro-Fiber Composite Patch
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2CD31
ER -
. (2017). Non-Resonant Kinetic Energy Harvesting using Macro-Fiber Composite Patch. IEEE Dataport. http://dx.doi.org/10.21227/H2CD31
, 2017. Non-Resonant Kinetic Energy Harvesting using Macro-Fiber Composite Patch. Available at: http://dx.doi.org/10.21227/H2CD31.
. (2017). "Non-Resonant Kinetic Energy Harvesting using Macro-Fiber Composite Patch." Web.
1. . Non-Resonant Kinetic Energy Harvesting using Macro-Fiber Composite Patch [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2CD31
. "Non-Resonant Kinetic Energy Harvesting using Macro-Fiber Composite Patch." doi: 10.21227/H2CD31

Modified Circular Common Element 4 Port MIMO Antenna Using Diagonal Parasitic Element


A 4-port multiple input multiple-output (MIMO) antenna with common radiating element is proposed for 2.4 GHz Wi-Fi applications. It comprises a modified circular radiator fed by four identical modified feedlines, partial ground planes and a diagonal parasitic element. The parasitic element is used to enhance the inter-port isolation. The antenna has an experimental impedance bandwidth of 220 MHz (2.34-2.56 GHz) and nearly omnidirectional radiation patterns. The radiation efficiency is more than 80% and gain is 2 dBi at the frequency of 2.43 GHz.

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Dataset Details

Citation Author(s):
Submitted by:
Sanjay Chouhan
Last updated:
Fri, 12/01/2017 - 11:22
DOI:
10.21227/H2JS9N
Data Format:
 
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[1] , "Modified Circular Common Element 4 Port MIMO Antenna Using Diagonal Parasitic Element ", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2JS9N. Accessed: Jan. 18, 2018.
@data{h2js9n-17,
doi = {10.21227/H2JS9N},
url = {http://dx.doi.org/10.21227/H2JS9N},
author = { },
publisher = {IEEE Dataport},
title = {Modified Circular Common Element 4 Port MIMO Antenna Using Diagonal Parasitic Element },
year = {2017} }
TY - DATA
T1 - Modified Circular Common Element 4 Port MIMO Antenna Using Diagonal Parasitic Element
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2JS9N
ER -
. (2017). Modified Circular Common Element 4 Port MIMO Antenna Using Diagonal Parasitic Element . IEEE Dataport. http://dx.doi.org/10.21227/H2JS9N
, 2017. Modified Circular Common Element 4 Port MIMO Antenna Using Diagonal Parasitic Element . Available at: http://dx.doi.org/10.21227/H2JS9N.
. (2017). "Modified Circular Common Element 4 Port MIMO Antenna Using Diagonal Parasitic Element ." Web.
1. . Modified Circular Common Element 4 Port MIMO Antenna Using Diagonal Parasitic Element [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2JS9N
. "Modified Circular Common Element 4 Port MIMO Antenna Using Diagonal Parasitic Element ." doi: 10.21227/H2JS9N

Activities of Daily Living


Recognition of human activities is one of the most promising research areas in artificial intelligence. This has come along with the technological advancement in sensing technologies as well as the high demand for applications that are mobile, context-aware, and real-time. We have used a smart watch (Apple iWatch) to collect sensory data for 14 ADL activities (Activities of Daily Living). 

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Dataset Details

Citation Author(s):
Submitted by:
Walid Gomaa
Last updated:
Wed, 11/22/2017 - 09:06
DOI:
10.21227/H2PS74
Data Format:
 
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[1] , "Activities of Daily Living", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2PS74. Accessed: Jan. 18, 2018.
@data{h2ps74-17,
doi = {10.21227/H2PS74},
url = {http://dx.doi.org/10.21227/H2PS74},
author = { },
publisher = {IEEE Dataport},
title = {Activities of Daily Living},
year = {2017} }
TY - DATA
T1 - Activities of Daily Living
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2PS74
ER -
. (2017). Activities of Daily Living. IEEE Dataport. http://dx.doi.org/10.21227/H2PS74
, 2017. Activities of Daily Living. Available at: http://dx.doi.org/10.21227/H2PS74.
. (2017). "Activities of Daily Living." Web.
1. . Activities of Daily Living [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2PS74
. "Activities of Daily Living." doi: 10.21227/H2PS74

Social media data from Italian newspapers


The dataset includes a collection of news concerning one of the most divisive public debates supported on Italian media: the constitutional referendum (held on December 4th, 2016) . The data cover a total of four months and a half, from July 31st, 2016 to December 12th, 2016, a week after the date of the referendum, and come from either Facebook. We identify pubblic Twitter acounts of Italian official newspapers, following the exhaustive list provided by ADS, that is an association for the verification of newspaper circulation in Italy. 

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Dataset Details

Citation Author(s):
Submitted by:
Michela Del Vicario
Last updated:
Mon, 11/13/2017 - 11:11
DOI:
10.21227/H2433R
Data Format:
 
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[1] , "Social media data from Italian newspapers", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2433R. Accessed: Jan. 18, 2018.
@data{h2433r-17,
doi = {10.21227/H2433R},
url = {http://dx.doi.org/10.21227/H2433R},
author = { },
publisher = {IEEE Dataport},
title = {Social media data from Italian newspapers},
year = {2017} }
TY - DATA
T1 - Social media data from Italian newspapers
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2433R
ER -
. (2017). Social media data from Italian newspapers. IEEE Dataport. http://dx.doi.org/10.21227/H2433R
, 2017. Social media data from Italian newspapers. Available at: http://dx.doi.org/10.21227/H2433R.
. (2017). "Social media data from Italian newspapers." Web.
1. . Social media data from Italian newspapers [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2433R
. "Social media data from Italian newspapers." doi: 10.21227/H2433R

Health Timeline Insight-based Dataset


Electronic Health Records and clinical longitudinal data have been visualized in a wide range of applications to assist the understanding of the status and evolution of patients. Few studies have objectively assessed these applications. We utilized the insights-based method to objectively assess the effectiveness of an application that visualizes longitudinal data from the Australian national electronic health record. Five professional psychiatrists took part in the assessment study.

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Dataset Details

Citation Author(s):
Submitted by:
Andres Ledesma
Last updated:
Mon, 10/16/2017 - 07:30
DOI:
10.21227/H2KD14
Data Format:
 
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[1] , "Health Timeline Insight-based Dataset", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2KD14. Accessed: Jan. 18, 2018.
@data{h2kd14-17,
doi = {10.21227/H2KD14},
url = {http://dx.doi.org/10.21227/H2KD14},
author = { },
publisher = {IEEE Dataport},
title = {Health Timeline Insight-based Dataset},
year = {2017} }
TY - DATA
T1 - Health Timeline Insight-based Dataset
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2KD14
ER -
. (2017). Health Timeline Insight-based Dataset. IEEE Dataport. http://dx.doi.org/10.21227/H2KD14
, 2017. Health Timeline Insight-based Dataset. Available at: http://dx.doi.org/10.21227/H2KD14.
. (2017). "Health Timeline Insight-based Dataset." Web.
1. . Health Timeline Insight-based Dataset [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2KD14
. "Health Timeline Insight-based Dataset." doi: 10.21227/H2KD14

Population Sample Artificially Generated


Test synthetic population produced with WEKA 3.8.

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Dataset Details

Citation Author(s):
Submitted by:
Javier Sanchez-...
Last updated:
Tue, 04/18/2017 - 11:30
DOI:
10.21227/H25P49
Data Format:
 
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[1] , "Population Sample Artificially Generated", IEEE Dataport, 2016. [Online]. Available: http://dx.doi.org/10.21227/H25P49. Accessed: Jan. 18, 2018.
@data{h25p49-16,
doi = {10.21227/H25P49},
url = {http://dx.doi.org/10.21227/H25P49},
author = { },
publisher = {IEEE Dataport},
title = {Population Sample Artificially Generated},
year = {2016} }
TY - DATA
T1 - Population Sample Artificially Generated
AU -
PY - 2016
PB - IEEE Dataport
UR - 10.21227/H25P49
ER -
. (2016). Population Sample Artificially Generated. IEEE Dataport. http://dx.doi.org/10.21227/H25P49
, 2016. Population Sample Artificially Generated. Available at: http://dx.doi.org/10.21227/H25P49.
. (2016). "Population Sample Artificially Generated." Web.
1. . Population Sample Artificially Generated [Internet]. IEEE Dataport; 2016. Available from : http://dx.doi.org/10.21227/H25P49
. "Population Sample Artificially Generated." doi: 10.21227/H25P49

Dataset malware/beningn permissions Android


This dataset is a result of my research production into machine learning in android security. The data was obtained by a process that consisted to map a binary vector of permissions used for each application analyzed {1=used, 0=no used}. Moreover, the samples of malware/benign were devided by "Type"; 1 malware and 0 non-malware.

When I did my research, the datasets of malware and benign Android applications were not available, then I give to the community a part of my research results for the future works.

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Dataset Details

Citation Author(s):
Submitted by:
Christian Urcuqui
Last updated:
Thu, 11/17/2016 - 10:43
DOI:
10.21227/H26P4M
Data Format:
Links:
 
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[1] , "Dataset malware/beningn permissions Android", IEEE Dataport, 2016. [Online]. Available: http://dx.doi.org/10.21227/H26P4M. Accessed: Jan. 18, 2018.
@data{h26p4m-16,
doi = {10.21227/H26P4M},
url = {http://dx.doi.org/10.21227/H26P4M},
author = { },
publisher = {IEEE Dataport},
title = {Dataset malware/beningn permissions Android},
year = {2016} }
TY - DATA
T1 - Dataset malware/beningn permissions Android
AU -
PY - 2016
PB - IEEE Dataport
UR - 10.21227/H26P4M
ER -
. (2016). Dataset malware/beningn permissions Android. IEEE Dataport. http://dx.doi.org/10.21227/H26P4M
, 2016. Dataset malware/beningn permissions Android. Available at: http://dx.doi.org/10.21227/H26P4M.
. (2016). "Dataset malware/beningn permissions Android." Web.
1. . Dataset malware/beningn permissions Android [Internet]. IEEE Dataport; 2016. Available from : http://dx.doi.org/10.21227/H26P4M
. "Dataset malware/beningn permissions Android." doi: 10.21227/H26P4M

Zika Virus Data


The Pan American Health Organization / World Health Organization is publishing weekly counts of suspected and confirmed cases, by country and territory, as reported by each country. The data portal includes a few important notes:
 
"The suspected cases in Brazil are unofficial (media monitoring)"
"Data is shared in an effort to transparently disseminate available information reported by Member States. Any subsequent interpretation and analysis of this data should consider differences in surveillance systems and reporting requirements."

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Dataset Details

Citation Author(s):
Submitted by:
Max Headroom
Last updated:
Wed, 06/15/2016 - 11:11
DOI:
10.5072/FK2930TP87
Data Format:
Links:
 
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[1] , "Zika Virus Data", IEEE Dataport, 2016. [Online]. Available: http://dx.doi.org/10.5072/FK2930TP87. Accessed: Jan. 18, 2018.
@data{fk2930tp87-16,
doi = {10.5072/FK2930TP87},
url = {http://dx.doi.org/10.5072/FK2930TP87},
author = { },
publisher = {IEEE Dataport},
title = {Zika Virus Data},
year = {2016} }
TY - DATA
T1 - Zika Virus Data
AU -
PY - 2016
PB - IEEE Dataport
UR - 10.5072/FK2930TP87
ER -
. (2016). Zika Virus Data. IEEE Dataport. http://dx.doi.org/10.5072/FK2930TP87
, 2016. Zika Virus Data. Available at: http://dx.doi.org/10.5072/FK2930TP87.
. (2016). "Zika Virus Data." Web.
1. . Zika Virus Data [Internet]. IEEE Dataport; 2016. Available from : http://dx.doi.org/10.5072/FK2930TP87
. "Zika Virus Data." doi: 10.5072/FK2930TP87

Cause of Death in the United States


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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Dataset Details

Citation Author(s):
Submitted by:
Alex Outman
Last updated:
Tue, 06/14/2016 - 11:01
DOI:
10.5072/FK2C53KW2K
Data Format:
Links:
 
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[1] , "Cause of Death in the United States", IEEE Dataport, 2016. [Online]. Available: http://dx.doi.org/10.5072/FK2C53KW2K. Accessed: Jan. 18, 2018.
@data{fk2c53kw2k-16,
doi = {10.5072/FK2C53KW2K},
url = {http://dx.doi.org/10.5072/FK2C53KW2K},
author = { },
publisher = {IEEE Dataport},
title = {Cause of Death in the United States},
year = {2016} }
TY - DATA
T1 - Cause of Death in the United States
AU -
PY - 2016
PB - IEEE Dataport
UR - 10.5072/FK2C53KW2K
ER -
. (2016). Cause of Death in the United States. IEEE Dataport. http://dx.doi.org/10.5072/FK2C53KW2K
, 2016. Cause of Death in the United States. Available at: http://dx.doi.org/10.5072/FK2C53KW2K.
. (2016). "Cause of Death in the United States." Web.
1. . Cause of Death in the United States [Internet]. IEEE Dataport; 2016. Available from : http://dx.doi.org/10.5072/FK2C53KW2K
. "Cause of Death in the United States." doi: 10.5072/FK2C53KW2K

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