*.csv ; *.xlsx

This dataset contains the data used in manuscript: "A Cross-language Analysis of User Reviews on Steam"

We designed multijunction solar modules for installation on building walls, in which all the submodules are composed of organic-inorganic hybrid perovskite solar cells, adopting the monolithically series-interconnected structures.

1. a total of 78 participants' BSRS-5 assessment data were gathered.
2. a total of 2,868 question-answer pairs were collected. This dataset includes 2,400 samples generated by GPT

This research paper focuses on the influence of visualization techniques on decision-making among
non-technical users in the field of Business Intelligence (BI). We explore how these platforms aid data
comprehension and enable a constructive decision-making process by examining various visualization
tools such as Power BI, Looker, and Tableau. The paper also investigates the role of emotionally driven
visualization, narrative visualizations, and aesthetic preferences in engaging users and enhancing their

This is the status of offset transactions by legal ward. Provides province, municipality, legal building, year, month, total lake, and surplus power (tradable power). (Less than 5 lakes removed under Article 28 of the Personal Information Protection Act)

This dataset comprises the time cost of ten cryptographic operations on our testing platform, as well as the required number of operations and corresponding time consumption at each phase of the authentication schemes from six selected literature sources. The data is utilized for comparative analysis and evaluation of the operational efficiency among various identity authentication schemes.

This dataset comprises 1301 rounds collected from the 2024 Valorant Champions Tour Pacific and EMEA. Specifically, those rounds contain completed information on Team A and B's number of available ultimate abilities each round, the average number of ultimate points until ultimate ability for each team per round, and each team's total loadout value per round. Each round's outcomes are labeled and weighed against the predicted outcomes in future logistic regression modeling. 

This is the sample data from a switched-capacitor single-input multiple-output (SC-SIMO) converter, which can be utilized to train an artificial neural network (ANN) model. In the dataset, the current references IL3ref, IL2ref, IL1ref, and IL0ref are recorded and applied to the switched-capacitor single-input multiple-output (SC-SIMO) converter, and the introduced inductor currents IL3, IL2, IL1, and IL0 are recorded. During the ANN training process, the inductor currents are considered as the inductor currents references, which are the four inputs of the ANN model.

Network Interface Cards (NICs) are one of the key enablers of the modern-day Internet. They serve as gateways for connecting computing devices to networks for the exchange of data with other devices. Recently, the pervasive nature of Internet-enabled devices coupled with the growing demands for faster network access have necessitated the enhancement of NICs to Smart NICs (SNICs), capable of processing enormous volumes of data at near real-time speed. These devices are fitted with Compute Elements that allow them to handle several tasks, thus relieve their host's CPUs of these workloads.

This dataset provides measurements of cerebral blood flow using Radio Frequency (RF) sensors operating in the Ultra-Wideband (UWB) frequency range, enabling non-invasive monitoring of cerebral hemodynamics. It includes blood flow feature data from two arterial networks, Arterial Network A and Arterial Network B. Statistical features were manually extracted from the RF sensor data, while autonomous feature extraction was performed using a Stacked Autoencoder (SAE) with architectures such as 32-16-32, 64-32-16-32-64, and 128-64-32-16-32-64-128.