812 datasets

sevres-seineouest.opendatasoft.com2026 · dataset

Signalisation lumineuse tricolore sur la commune de Sèvres

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

Fig. S1 Time characteristics and sampling verification

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

<p dir="ltr">This methodological framework presents Citizen Auditing as a participatory approach to AI accountability, institutional observation, research evidence, and open science.</p><p dir="ltr">It defines a practical pathway for transforming institutional communications and independently documented observations into structured, attributable, verifiable, and persistent research evidence.</p><p

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 · Astronomical catalogue

<p>Essential oils (EOs) are valuable bioactive compounds widely used in pharmaceutical, food, and cosmetic industries, yet their recovery from plant biomass is often limited by low yield and prolonged processing. This review critically evaluates pretreatment strategies for enhancing EO recovery, particularly their integration with conventional extraction techniques. A systematic analysis of Scopus

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

Superdirective Antenna Arrays (SDAs) achieve exceptionally high end-fire directivity through reduced element spacing and precise excitation of the linear array elements. However, since their theoretical discovery over a century ago, SDAs have been dismissed due to the trade-offs arising from excessive directivity, specifically low efficiency, feed network complexity, narrow bandwidth, and sensitiv

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

ZivaHub + Deakin Research Online + DMU Figshare + UCL Research Data Repository2026 · dataset · unknown

As wireless connectivity becomes increasingly popular, a greater emphasis will be placed upon the seamless integration of dissimilar networking technologies. One such example of this will occur in urban environments, where diverse types of networks are expected to operate in close proximity to one another. The work in this thesis has focused on understanding how these emerging communications chann

UCL Research Data Repository2026 · dataset · unknown

In this thesis modes on circular antenna arrays are investigated and exploited. Circular antenna arrays are specifically chosen because of their symmetric structure which enables continuity of surface currents and symmetric mutual coupling between elements of the array. This makes circular array perfect for electronic beam steering in azimuth with no variation in gain or beam shape. Previous works

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

Hydrophobic ion pairing is an established solubility engineering strategy that uses surfactants to modulate drug lipophilicity and facilitate encapsulation in lipid-based nanocarriers. Although promising for enhancing lipophilicity, its influence on protein stability, activity, and interactions with lipids remains unclear at the molecular level. In this study, lysozyme was used as a model protein,

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 · unknown

Ultra-reliable and low-latency communications (URLLC) is introduced as one of three main components of 5G new radio (5G NR). By providing high-quality wireless links with ultra-reliability (i.e., up to 99.99999\%) and near-zero latency (i.e., 1 ms), URLLC is powerfully realising a wide range of mission-critical applications in different domains such as telesurgery, immersive entertainment, tactile

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

<p dir="ltr">Reproducible packet-replay experiments for separating collection changes from changes in network behavior. The study crosses Bernoulli packet retention probabilities (1, 0.5, 0.1, 0.01) with idle timeouts (5, 30, 60 seconds) and active timeouts (30, 120, 600 seconds) on eight IoT-23 and four Kitsune captures.</p>

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

<ul><li>This baseline package operationalizes the integration between the National Cybersecurity Center of Excellence (NCCoE) Software and Agentic Artificial Intelligence (AI) Identity and Authorization framework and the Archival Analysis & Accountability Protocols (AAAP). By bridging NIST's DevSecOps implementation use case with cryptographic, hash-chained audit logs and longitudinal observation

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">The files correspond to experimental results in paper: </p><p dir="ltr"><b>Comparison of Thin Al</b>_{<i><strong>x</strong></i>}<b>Ga</b>_{<strong>1-</strong>}_{<i><strong>x</strong></i>}<b>AsSb Avalanche Regions for High-speed Optical Communication</b></p><p dir="ltr">There are two types of files:- .png which correspond to the figures- .csv, which are raw data

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

Nantes Open Data Portal2026 · dataset

Arrêts de transports en commun du réseau Naolib de Nantes Métropole au format NeTEx NeTEx : Network Exchange – est un format de référence pour échanger des données d’offre théorique du transport collectif, défini au niveau européen. Il y a 5 profils NeTEx pour la France : arrêts, lignes/réseau, horaires/calendriers, Accessibilité, Tarif, plus une partie commune. Le format NeTEx France est composé

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

Nantes Open Data Portal2026 · dataset

Offre de transports en commun du réseau Naolib de Nantes Métropole au format NeTEx NeTEx : Network Exchange – est un format de référence pour échanger des données d’offre théorique du transport collectif, défini au niveau européen. Il y a 5 profils NeTEx pour la France : arrêts, lignes/réseau, horaires/calendriers, Accessibilité, Tarif, plus une partie commune. Le format NeTEx France est composé d

ScienceDB2026 · dataset

This dataset is derived from experimental research on the side wall drilling and internal vacuum extraction process of anti resonant hollow core fiber (AR-HCF), aiming to provide raw data for measuring the influence of side through holes on the optical performance of AR-HCF and evaluating the effectiveness of side hole assisted vacuum extraction. The experiment was completed in 2026 at the Shangha

HKU DataHub + figshare + Loughborough Research Repository2026 · Astronomical catalogue

<p dir="ltr">This study investigates the application of Artificial Neural Networks (ANNs) to predict the solubilization behavior of copper and cobalt from microwave-pretreated ores. Five different architectures of Multilayer Perceptron (MLP) ANNs – MLP 4-4-2, MLP 4-6-2, MLP 4-9-2 (two variants), and MLP 4-10-2 – were developed and compared. Input parameters included microwave power (280-700 W), tr