IIT Dataverse (Istituto Italiano di Tecnologia)
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37 research outputs found
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Slide presentation: "Il ruolo e le competenze del data steward"
No full textSlides presented at the event "Abbracciare il futuro. Fare Scienza Aperta oggi", held in Ferrara on June 11, 2024
Slide presentation: "Do we need more data or better data?"
No full textSlides of the lecture given at the "XLIII GNB Annual School 2024 - Neurotechnologies to understand and restore the nervous system", Bressanone, September 16, 2024
Kinematic dataset for an unconstrained pick and place task
No full textThis dataset comprises kinematic data acquired from a population of healthy individuals performing a pick and place task in different conditions. Data were recorded through a motion capture system (Nexus Vicon) and represent both hand and joint trajectories. Moreover, hand kinematic data was recorded with Microsoft HoloLens2 when performing the same task. Subjects S1-S20 performed the task both with HoloLens2 and mocap system. Subject S21-S24 performed the task with the mocap system only. Subject S25-S30 performed the task with HoloLens2 only
DropTrack - Droplet identification and tracking tool dataset
No full textThis dataset contains two types of data.
A) Training data to YOLO models to identify droplets in images taken from microfluidics experiments. The training data format can directly be used to train YOLOv5 and YOLOv7 models. The training data consists of 1902 images from experiments and 2500 sysnthetic images.
B) Trained YOLOv5 and YOLOv7 models using the dataset mentioned in point A above. The detailed benchmarking study is reported in
"Benchmarking YOLOv5 and YOLOv7 models with DeepSORT for droplet tracking applications" by M Durve, S Orsini, A Tiribocchi, A Montessori, JM Tucny, M Lauricella, A. Camposeo, D. Pisignano, S. Succi, The European Physical Journal E 46 (33), 1-7, 202
Open Science and Research Data Management training for early-career researchers
No full textThis dataset contains slides presented during the Open Science and Research Data Management training for early-career researchers, held at the Istituto Italiano di Tecnologia on December 13th and 15th, 2023.
Module 1: general concepts and definitions of Open Science and Research Data Management;
Module 2: Open Science and RDM policies in the context of the Horizon Europe funding programme;
Module 3: introduction to the use of the institutional research data repository "IIT Dataverse"
Replication Data for: The geometry of interpersonal synchrony in human dance
No full textWe recorded full-body kinematics from dyads of participants freely dancing to music while we orthogonally manipulated visual contact (whether participants could see each other) and musical feedback (whether participants were dancing to the same music). The dataset contains the full set of kinematic data analysed in the study (.csv), the logfiles corresponding to the experimental conditions (.csv), and a readme file (.txt)
Replication Data for: GARField: Addressing the visual Sim-to-Real gap in garment manipulation with mesh-attached radiance fields
No full textMulti-view RGB-D image dataset of sock in a calibrated and registered scene. Replication Data for: GARField: Addressing the visual Sim-to-Real gap in garment manipulation with mesh-attached radiance field
Replication Data for "RESPRECT: Speeding-up Multi-fingered Grasping with Residual Reinforcement Learning"
No full textPre-trained models to reproduce the results in the paper "RESPRECT: Speeding-up Multi-fingered Grasping with Residual Reinforcement Learning"
ConCon-Chi: Concept-Context Chimera Benchmark for Personalized Vision-Language Tasks
No full textA benchmark for personalised text-to-image retrieval and generation tasks.
This dataset is publicly released with the referenced CVPR 2024 publication: please cite the publication if you find this dataset useful.</p
Code for droplet shape representation using Fourier series and autoencoders
No full textThe dataset contains the code, training data, and readme file to map droplet shape contours onto minimal dimensional manifolds. Readme.txt file contains all the instructions