222 datasets

figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue

<p dir="ltr">Slide show for illustrative purpose - Democracy Now - Pre Print Review 2026</p>

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

<p dir="ltr">This conference contribution is a <b>peer-reviewed conference paper</b> presented by Pravinkumar Ghodake (Department of Mechanical Engineering, IIT Bombay) at the <b>1st International and 7th National Conference on Multidisciplinary Design, Analysis, and Optimization (iNCMDAO 2024)</b>, jointly organized by the <b>Indian Institute of Science (IISc), Bengaluru</b> and the <b>Aeronautic

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

<p dir="ltr">Mediation, moderation, and conditional process analyses are widely used in health and social science research, however, existing analytical tools often present technical, financial, and accessibility barriers. This repository hosts MedModr, a free, user-friendly, browser-based, open-source application developed to support commonly used mediation, moderation, and conditional process an

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

<p dir="ltr">In the MLP schematic (left), nonlinear transformations are illustrated at the nodes using a fixed activation function. ReLU is used only as an illustrative example in the visualization. In contrast, a KAN (right) places learnable nonlinear functions on the network edges, allowing each connection to adapt its transformation.</p>

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

<p dir="ltr">The top panel shows the mean global error obtained in each trial, with the solid line indicating the best objective value achieved up to each trial. The lower panels show the corresponding error as a function of the number of hidden layers L, neurons per layer N, grid size G, polynomial order p, and learning rate $\alpha$. The color of each marker indicates the trial number, illustrat

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

<p dir="ltr">Here, L denotes the number of hidden layers, N the number of neurons per layer, G the KAN grid size, p the KAN spline order, σ the activation function, and α the learning rate.</p>

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

<p dir="ltr">The predicted fields and absolute errors for u and k are shown together with the MAE values measured inside, outside, and across the complete evaluation domain. The gray rectangle marks the training region [−5, 5] × [−5, 5] within the evaluation domain [−10, 10] × [−10, 10]. Gray circles indicate the observational points, which are sampled from the same distribution as the PDE colloca

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

<p dir="ltr">Here, L denotes the number of hidden layers, N the number of neurons per layer, σ the activation function, and α the learning rate.</p>

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

<p dir="ltr">(Top) Schematic workflow illustrating the formulation process, progressing from target definition and domain specification (infinite and semi-infinite) to the generation of a manufactured solution satisfying the Poisson equation −∇ · (k ∇u) = f. (Bottom) Analytical solutions u and spatially varying coefficient fields k. The infinite-domain configuration (left) uses parameters α = 0.5,

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

Heterogeneous catalysis plays a significant role in the modern chemical industry. Computational investigation has been an indispensable approach to reveal catalyst structures and catalytic reactions in the last few decades, where first-principles calculations are widely adopted. Despite the success in understanding catalysis at the atomic scale, the huge computational expense of such first-princip

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

<p dir="ltr">Uniform and exponential sampling are evaluated through the predicted fields, absolute errors, and MAE values measured inside, outside, and across the complete evaluation domain. The training region is [−5, 5] × [−5, 0] within the evaluation domain [−10, 10] × [−10, 0], with the top-boundary samples highlighted in blue.</p>

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

The exposome, is a concept introduced in 2005 by Christopher P. Wild. The exposome details every exposure an individual comes into contact during their lifetime, after conception. It is possible to view the exposome as its constituent parts, for example chemical compounds, biological factors, physical phenomena and socio-economic factors. The exposome is a sibling of the genome (total number of ge

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

<p dir="ltr">Columns correspond to fixed weights, a prescribed λ_PDE schedule, and the same schedule combined with adaptive weighting. Rows show the evolution of the loss weights, individual loss components (L_u, L_k, and L_PDE), and relative L₂ errors for u and k, respectively.</p>

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

<p dir="ltr">Attached are regional images of predictions of air conditioning in Africa and Asia.</p>

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

<p dir="ltr">This conference contribution is a <b>peer-reviewed conference paper</b> presented by Pravinkumar Ghodake (Department of Mechanical Engineering, IIT Bombay) at the <b>1st International and 7th National Conference on Multidisciplinary Design, Analysis, and Optimization (iNCMDAO 2024)</b>, jointly organized by the <b>Indian Institute of Science (IISc), Bengaluru</b> and the <b>Aeronautic

ZivaHub + Deakin Research Online + DMU Figshare + HKU DataHub + Swinburne Figshare + DaYta Ya Rona + SUNScholarData + figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue

<p dir="ltr">This dataset provides a wall-to-wall forest type map of Nepal at 30 m spatial resolution, classifying the forested area of the country into 15 forest types. The map was produced to support forest monitoring by forest type and REDD+ Measurement, Reporting and Verification (MRV) at national and sub-national scales. It represents forest conditions for 2013/14.</p><p dir="ltr">METHODS</p>

ZivaHub + Deakin Research Online + DMU Figshare + HKU DataHub + Swinburne Figshare + DaYta Ya Rona + SUNScholarData + figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue

<p dir="ltr">This dataset accompanies the paper "Can a Professional Comment Taxonomy Label Student Code? A Four-Language Corpus of 11,809 Comment-Code Pairs" submitted to SIGCSE '27.</p><h3 dir="ltr"><b>Overview</b></h3><p dir="ltr">The corpus contains 11,809 cleaned and associate-mapped novice comment-code pairs extracted across four programming languages: Java (7,194), C (2,493), Python (2,092),

ZivaHub + Deakin Research Online2026 · dataset

<p dir="ltr">This conference contribution is a Young Scientist Award paper presented by Pravinkumar Ghodake (Department of Mechanical Engineering, IIT Bombay) at the <b>66th Congress of the Indian Society of Theoretical and Applied Mechanics (ISTAM 2021)</b>, hosted at IIT Kharagpur. The work was submitted under the "Paper for the Young Scientist Award" category in the Solid Mechanics (SM) session

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

<p dir="ltr">Like roads connecting a city, the brain depends on networks that carry information between different regions. The fractured, fiery landscape on the left represents extensive damage to these communication pathways, making recovery after stroke more challenging. In contrast, the flourishing green side symbolizes stronger preserved connections that support healing and functional recovery

ZivaHub + Deakin Research Online2026 · dataset

<p dir="ltr">This conference contribution is a research paper presented by Pravinkumar Ghodake (Department of Mechanical Engineering, IIT Bombay) at <b>NODYCON 2023</b> — the Third International Nonlinear Dynamics Conference. The work was submitted and published as a conference proceeding under the NODYCON Open Repository.</p><p dir="ltr"><br></p><p dir="ltr"><b>Title of contribution:</b> "Harmoni

ZivaHub + Deakin Research Online2026 · dataset

<p dir="ltr">Esta obra en seis volúmenes presenta los fundamentos, el desarrollo formal, la validación y las aplicaciones computacionales de la <b>Lógica Sintético-Contextual (LSC-CALC)</b>. El sistema propone un marco analítico y formal que trasciende la lógica clásica al integrar de manera sistemática el contexto dinámico, la semántica situacional y la dimensión normativa en la estructura de inf

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

<p dir="ltr">This visualisation highlights differences in the brain's connections between patients with poorer and better recovery. Warm colours (orange and yellow) represent greater disruption of these connections in patients with poorer recovery, while cool colours (blue and cyan) represent greater disruption in patients with better recovery. The image shows how hidden damage to the brain's conn

ZivaHub + Deakin Research Online + DMU Figshare + HKU DataHub + Swinburne Figshare + DaYta Ya Rona + SUNScholarData + figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue

<p dir="ltr">This dataset contains 3D in-air hand signatures collected using the Leap Motion Controller 2. It includes annotated CSV files for 65 users, with 10 signature instances per user (total 650 instances). The data captures finger, palm, and arm positions, velocities, rotations, etc. making it suitable for Intermittent Spatial Segmentation research. It can be extended for In-Air Signature v

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

<p dir="ltr">R code used to reproduce the analyses reported in “How Personality and Self-Esteem Shape Views on Societal Change: A Network Analysis of Dutch Citizens,” including data preparation, descriptive analyses, network estimation using EBICglasso, centrality estimation, and network visualization.</p>

ZivaHub2026 · dataset

<p dir="ltr">This conference contribution is a research paper presented by Pravinkumar Ghodake (Department of Mechanical Engineering, IIT Bombay) at the <b>66th Congress of the Indian Society of Theoretical and Applied Mechanics (ISTAM 2021)</b>. The work derives analytical theoretical solutions to demonstrate the critical sensitivity of wave fields to local stiffness reductions caused by micro-vo