27 datasets

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset · unknown

The advancements in technology have stimulated huge changes in modern communication networks worldwide. The rapid growth has produced huge demands for low cost, high data rates and reliability across a large number of active users. Massive multiple-input multiple-output (MIMO) has proven to be a successful technology to fulfil the demands required of the latest wireless communication systems, with

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

With the growing demands for efficient and scalable food analysis, agriculture, and healthcare applications, the need for improved data acquisition and processing techniques has become increasingly significant. Near Infrared Spectroscopy has emerged as a powerful tool for non-invasive analysis in these domains, providing key insights into material composition at a spectral level. Hyperspectral ima

UCL Research Data Repository2026 · dataset · unknown

Communication networks have vital roles in our daily lives, both in small-scale and large-scale perspective. First, in small-scale networks, nanonetworks consisting of nano-scale devices have been proposed to solve problems in environmental monitoring, healthcare (in the form of nanomedicine), industrial, and military fields. An emerging means of supporting communication between nano-scale devices

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

<p dir="ltr">This image represents my research on understanding and correcting the stomach’s electrical activity. The stomach is shown within the upper body to highlight its physiological context, while the glowing patterns illustrate its bioelectrical behaviour. The red-orange network symbolises abnormal or disorganised gastric slow wave activity, which can disrupt normal stomach function. In con

ZivaHub + Deakin Research Online + HKU DataHub + DaYta Ya Rona + figshare + Loughborough Research Repository + UP Research Data Repository2026 · Astronomical catalogue

<p dir="ltr"><b>INSTITUTIONAL RESPONSE CORPUS</b> is a longitudinal research corpus documenting more than 70 institutional contacts across research infrastructures, open science platforms, AI governance and accountability organizations, standards bodies, public institutions, academic research groups, and civil-society organizations.</p><p dir="ltr">The corpus records institutional outreach across

ZivaHub + HKU DataHub + DaYta Ya Rona + figshare + Loughborough Research Repository + UP Research Data Repository2026 · Astronomical catalogue

<p dir="ltr">This research and methodological reference develops the concept of <b>AI Accountability Literacy</b> as an extension of conventional artificial intelligence literacy. It examines how the emergence of agentic AI requires educational and research practices to address not only AI use and model behavior, but also agent identity, authentication, authorization, auditability, evidence, insti

ZivaHub + HKU DataHub + figshare + Loughborough Research Repository + UP Research Data Repository2026 · Astronomical catalogue

<p dir="ltr">This dataset is used to evaluate the classification performance of machine or deep learning techniques for waveforms corrupted by Additive White Gaussian Noise (AWGN) at various SNRs.</p><p><br></p><p><br></p>

HKU DataHub + figshare + Loughborough Research Repository + UP Research Data Repository2026 · Astronomical catalogue

<p dir="ltr">What types of dynamical structure in the world do we as scientists have models for? The 1000×1000 collection contains 1000 simulated time series, each 1000 samples long, generated from 133 mechanisms across 13 classes: noise and linear processes, long-memory and multifractal processes, nonlinear stochastic processes, deterministic maps, chaotic flows, oscillators, noise-driven continu

ZivaHub2026 · dataset

<p dir="ltr">Speech deepfake detectors consume decoded waveforms, but for coded speech the bitstream is what was transmitted; which rendering of it the detector sees belongs to the receiver. Decoding a bit-identical Opus bitstream with libopus 1.6.1’s stronger optional decoder-side post-filter enabled rather than disabled shifts class-mean detector scores toward the synthetic class in 20 of 20 det

figshare + Loughborough Research Repository2026 · Astronomical catalogue

<p dir="ltr">If you use this dataset, please cite both of the following publications:<br><br><b>Zhang Z, Wang Z, Guo K, et al. </b><b>Boosting brain-computer interface performance through cognitive training: A brain-centric approach</b><b> [J]. </b><b><i>Journal of Information and Intelligence</i></b><b>, 2025, 3(1): 19–35.</b><br><br><b>Zhang Z, Zheng Y, Guo K, et al. </b><b>A Few-Layer Multilaye

figshare + Loughborough Research Repository2026 · Astronomical catalogue

Introduction<p>Significant wave height (SWH) derived from compact microelectromechanical systems (MEMS) is increasingly used for operational wave monitoring, but estimates can vary depending on the scientifically defensible processing choices applied to the same inertial record.</p>Methods<p>This study evaluates method-selection variability using a 31-day acceleration record from one operational b

figshare + Loughborough Research Repository2026 · Astronomical catalogue · restricted

<p dir="ltr"><b>This dataset supports the Master’s dissertation “An Investigation of Thermal Patterns in Guitarists Performing a Musician-Specific Exercise Programme” (Farrugia, 2021).</b></p><p dir="ltr">The deposit contains pseudonymised FLIR thermal video recordings in SEQ format, SPSS datasets in SAV format, and a CSV summary of thermal temperature measurements. Fifteen adult guitarists/ bass

Teesside University Research Data Repository2026 · dataset

This dataset contains the reproducibility materials supporting the manuscript "Enhancement Without Replacement: Route-Preserving Residual Fusion for Low-Light Visible–Thermal Pedestrian Detection" (submitted to Machine Vision and Applications). The deposited materials include model configurations for ConcatFusion-s, ConcatFusion-s-wide, RoutePreserve-s no-KD, residual-source variants, and insertio

IISH Dataverse2026 · dataset · unknown

This dataset contains synchronized electrodermal activity (EDA) data from the EmbracePlus and Shimmer3 GSR+, collected during relaxation and stress tasks. It includes original raw sensor data in AVRO and CSV formats, as well as synchronized and processed CSV files containing EDA data and event markers, participant demographics, and perceived stress ratings. Although only the EDA data were further

figshare2026 · Astronomical catalogue

<p dir="ltr">"每种状态 40 s 时个体评分不可重复，3 min 时中位信度 0.36，枕区 alpha 到 0.66，增长符合 Spearman–Brown 预测"——这给了想做个体水平脑电连接生物标志物的人一个可用的设计规则：至少 3 min/状态，并预先算好目标信度需要多少数据。做痴呆、MCI 之类个体诊断的研究常常忽略这一点，群体效应显著不等于能给一个人打分，文章把这个"信度悖论"在 EEG 连接上量化了。</p><p dir="ltr">眼动给出前额 delta 负分，肌电给出 gamma 正分且颞区块最大，通道相位不一致的干扰会伪装成延迟耦合变化。最后一条对头戴显示器、可穿戴和自研前端尤其有用——文中也点明了 HMD 干扰正是这种结构。这意味着 RRS 可以反过来当硬件和实验环境的检验工具：一套新采集系统或一个新的 VR 场景，只要"什么都没变"的对照下评分不为零

Teesside University Research Data Repository2026 · dataset

MATLAB simulation code, figures, and result tables supporting the manuscript “Reproducible Benchmarking of RSMA, SDMA, and NOMA Under Unified Multi-User Downlink Assumptions,” submitted to Physical Communication. The repository provides a reproducible benchmarking framework for comparing Rate-Splitting Multiple Access (RSMA), Space-Division Multiple Access (SDMA), and Non-Orthogonal Multiple Acces

Teesside University Research Data Repository2026 · dataset

This dataset contains the reproducibility materials for the manuscript “Output Projections Matter Most: An Empirical Analysis of Layer-Wise Sensitivity in Time-Series Foundation Model Adaptation.” It includes Python scripts, study-ready data files, raw experiment logs, summarized CSV results, supplementary experiment outputs, cross-backbone validation results, and figure-generation materials. The

Teesside University Research Data Repository2026 · dataset

This dataset contains synchronized motion and optical measurements collected for the study of dynamic indoor Visible Light Communication (LiFi) channels under user mobility and device orientation changes. The objective of the dataset is to support research on channel aging, predictive modeling, adaptive communication, and sensor-based LiFi system analysis. Data were collected using a custom ESP32-

Researchdata.se2026 · dataset

This dataset contains the samples of the training, validation and test data sets for the two numerical examples of the article ''GIANT Networks: Very Deep Fully-Connected Neural Networks Applied to Microwave Problems'' (Stenmark, Rylander, McKelvey & Ludvig-Osipov, 2026). All data is created using the finite element method as described in the article and is stored in the NPZ format which can be op

Teesside University Research Data Repository2025 · dataset

In this work, a dataset is created containing 36 Bangla words and 24 English words with the help of 25 different persons from different regions of Bangladesh. 30 samples per word from both male and female speakers are recorded. The number of speech samples in the created dataset is 1800. The samples are recorded using a sound recorder (smartphones) in a room environment. Among them 1200 samples ar

Teesside University Research Data Repository2024 · dataset

The dataset includes acoustic features extracted from voice recordings using a diadochokinesis (DDK) test protocol. Realistic environmental noise was introduced into the recordings prior to feature extraction to simulate real-world conditions. The dataset comprises voice samples from 30 Parkinson's disease (PD) patients and 30 healthy controls. All samples were captured via smartphone without audi

Teesside University Research Data Repository2023 · dataset

Wearable long-term monitoring applications are becoming more and more popular in both the consumer and the medical market. In wearable ECG monitoring, the data quality depends on the properties of the electrodes and on how they contact the skin. Dry electrodes do not require any action from the user. They usually do not irritate the skin, and they provide sufficiently high-quality data for ECG mon

Teesside University Research Data Repository2022 · dataset

A set of data usable to train an ANN in order to find correction terms for different DFT amplitudes. To generate more training data or data to test the network you can use the "Data generator". First generate signals with different parameters (number of samples, sampling frequency, amplitude, phase, frequency etc.) Afterward use "Python_DFT - SINC OK" to find the DFT amplitudes and the correction

Teesside University Research Data Repository2021 · dataset

This dataset contains electromyography (EMG) signals for use in human-computer interaction studies. The dataset includes 4-channel surface EMG data from 40 participants with an equal gender distribution. The gestures in the data are rest or neutral state, extension of the wrist, flexion of the wrist, ulnar deviation of the wrist, radial deviation of the wrist, grip, abduction of all fingers, adduc

Teesside University Research Data Repository2021 · dataset

The datasets provided by this repository comprise experimental data to investigate the nonlinear dynamic behavior of the Orion beam structure, which consists of two duraluminum beams assembled by bolted joints. To retain contact on a small area between both beams, this new lap-joint configuration proposes contact patches at each bolt connection. The Orion beam suggests an assembly configuration th