Standards Research Data
To download this dataset without purchasing an IEEE Dataport subscription, please visit: https://zenodo.org/records/13896353
Please cite the following paper when using this dataset:
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Mashup and Web API dataset
This is a dataset used in Web API Recommendation which contains real data crawled from the ProgrammableWeb between 2019 and 2020. And the dataset includes 6217 Mashup services and 11930 Web APIs.
Each mashup data includes its name, tags, description text, called APIs, and categories. And each Web API data contains its name, tags and description text.
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The Unified Multimodal Network Intrusion Detection System (UM-NIDS) dataset is a comprehensive, standardized dataset that integrates network flow data, packet payload information, and contextual features, making it highly suitable for machine learning-based intrusion detection models. This dataset addresses key limitations in existing NIDS datasets, such as inconsistent feature sets and the lack of payload or time-window-based contextual features.
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This dataset presents real-world VPN encrypted traffic flows captured from five applications that belong to four service categories, which reflect typical usage patterns encountered by everyday users.
Our methodology utilized a set of automatic scripts to simulate real-world user interactions for these applications, to achieve a low level of noise and irrelevant network traffic.
The dataset consists of flow data collected from four service categories:
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This dataset contains information about code smell, which is a very important issue in software engineering.
It is built by collecting the method having code smell from GitHub using the SonarCloud tool.
There are 5 code smells and 1 normal class with 500 examples each.
the metadata: method (function),smellkey, smellid
Smell Type
ID
Description
Reference
java:S100
0
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This data set includes GAMS codes for the manuscript titled "Optimizing Unmanned Air Vehicle (UAV) Base Locations: A multi-objective optimization approach". There are four mixed integer programming models (M1, M2, M3 and M4) and one multi-objective algorithm (Alg1) coded in GAMS. The data used for the models are embeded in the codes. The codes should be run in GAMS environment. Each code gives the optimal solution for the associated model in which optimal objective function and decision variables values are provided.
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The dataset used was derived from a frequency tunable high power vacuum electron devices (HPVED) optimization task using a simple genetic algorithm (SGA). This device has the topology with 44 optimization parameters and 2 tuning parameters. Each of the two tuning parameters has 6 and 7 discrete adjustment values, respectively. The population size is set to 54, and each individual requires 42 simulations to evaluate its tunability.
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Spectroscopic ellipsometry measurements were conducted to determine optical constants of CdSexTe1-x (CST) compounds deposited through co-evaporation, with the composition parameter (x) ranging from 0 to 1. The dielectric function spectra obtained from these thin films were interpolated using an energy-shift algorithm to develop a comprehensive optical library for the CST compound with x ranging from 0 to 1 with a 0.001 step.
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The ocular diseases rising from vascular endothelial growth factors (VEGF) is rising on an alarming rate. Mostly the complex retinal disorders are resulted from overexpression of VEGF. Common ocular complications such as age related macular edema (AMD) (over 196 million), diabetic retinopathy (DR) (over 103.12 million) and retinal vein occlusion can result to permanent vision loss if not treated early. Early treatment of such complications is inhibiting the VEGF signaling cascade via anti-VEGF therapy.
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