Find research datasets worth reusing

Mind Your Heart Study

ClinicalTrials.gov study NCT03571581. IPD Sharing: YES. Countries: 1. Publications: 2.

COVID-19 and the Healthy Minds Program for Educators

ClinicalTrials.gov study NCT04426318. IPD Sharing: YES. Countries: 1. Publications: 5.

Telephone-delivered Mindfulness Intervention for African American Dementia Caregivers

ClinicalTrials.gov study NCT04058886. IPD Sharing: YES. Countries: 1. Publications: 1.

Mindfulness-Based Intervention for Stress Reduction in Adult Singaporeans a Pilot Study

ClinicalTrials.gov study NCT06765889. IPD Sharing: YES. Countries: 1. Publications: 1.

Healthy Minds Program App Dosage

ClinicalTrials.gov study NCT05229406. IPD Sharing: YES. Countries: 1. Publications: 2.

Mind-body Resiliency Intervention for Fear of Cancer Recurrence

ClinicalTrials.gov study NCT04876599. IPD Sharing: YES. Countries: 1. Publications: 1.

publicDec 2025View details →

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Breath-focused mindfulness and compassion training in parent-child dyads: a pilot intervention study

Open the record for dataset details and reuse information.

opencc-by-4.0Mar 2020View details →

A closer look at the timecourse of mind wandering: pupillary responses and behaviour

This is the dataset reported in the manuscript "A closer look at the timecourse of mind wandering: pupillary responses and behaviour" currently submitted for publication in PlosOne (uploaded on BioRxive, and available at https://doi.org/10.1101/869768) This work is in continuation with previously published data by the same authors: Pelagatti, C., Binda, P., & Vannucci, M. (2018). Tracking the Dynamics of Mind Wandering: Insights from Pupillometry. Journal of Cognition, 1(1), 38. DOI: http://doi.org/10.5334/joc.41

opencc-by-4.0Dec 2020View details →

MINDS-Libras Dataset (RGB-D sensor data)

Brazilian Sign Language (Libras) data set with 20 signs for sign language and gesture recognition benchmark: - Acontecer (To happen) - Aluno (Student) - Amarelo (Yellow) - América (America) - Aproveitar (To enjoy) - Bala (Candy) - Banco (Bank) - Banheiro (Bathroom) - Barulho (Noise) - Cinco (Five) - Conhecer (To know) - Espelho (Mirror) - Esquina (Corner) - Filho (Son) - Maçã (Apple) - Medo (Fear) - Ruim (Bad) - Sapo (Frog) - Vacina (Vaccine) - Vontade (Will) Each one of the signs was recorded 5 times by 12 signers, using a Chroma Key background. Among the signers are men and women with basic to advanced knowledge in Libras.  The RGB-D sensor (kinect v2) available the RGB videos (1920 x 1080) and depth videos (640 x 480) in "mp4" format, and the body points and face data in "txt" file. <ul> <li>The body file has seven different information (Position X, Y and Z; Orientation X, Y and Z; TrackingState; LeftHandState; RightHandState; ColorPosition X and Y; and DepthPosition X and Y) about the 25 points: (1) Spine Base, (2) Spine Mid, (3) Neck, (4) Head, (5) Shoulder Left, (6) Elbow Left, (7) Wrist Left, (8) Hand Left, (9) Shoulder Right, (10) Elbow Right, (11) Wrist Right, (12) Hand Right, (13) Hip Left, (14) Knee Left, (15) Ankle Left, (16) Foot Left, (17) Hip Right, (18) Knee Right, (19) Ankle Right, (20) Foot Right, (21) Spine Shoulder, (22) Hand Tip Left, (23) Thumb Left, (24) Hand Tip Right and (25) Thumb Right. There are 13 lines (or data) for each frame. This order is repeated sequentially up to 1950 lines (13 lines $\times$ 150 frames), representing the sign video.</li> </ul>   <ul> <li>Regarding to the face data, the same organisation was adopted. In this case, we have seven information (FaceBox, FaceRotation, HeadPivot, AnimationUnit, FaceModel X, Y and Z; ColorFaceModel X and Y; and DepthFaceModel X and Y), describing 11 data, distributed in 1650 (11 lines $\times$ 150 frames) lines in the ``.txt'' file.</li> </ul> (Former name: Libras-20)

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Minding the gap: Learning and visual scanning behaviour in nocturnal bull ants

Insects possess small brains but exhibit sophisticated behaviour, specifically their ability to learn to navigate within complex environments. To understand how they learn to navigate in a cluttered environment, we focused on learning and visual scanning behaviour in the Australian nocturnal bull ant, Myrmecia midas, which are exceptional visual navigators. We tested how individual ants learn to detour via a gap and how they cope with substantial spatial changes over trips. Homing M. midas ants encountered a barrier on their foraging route and had to find a 50-cm gap between symmetrical large black screens, at 1m distance towards the nest direction from the centre of the releasing platform in both familiar (on-route) and semi-familiar (off-route) environments. Foragers were tested for up to 3 learning trips with the changed conditions in both environments. Results showed that on the familiar route, individual foragers learned the gap quickly compared to when they were tested in the semi-familiar environment. When the route was less familiar, and the panorama was changed, foragers were less successful at finding the gap and performed more scans on their way home. Scene familiarity thus played a significant role in visual scanning behaviour. In both on-route and off-route environments, panoramic changes significantly affected learning, initial orientation and scanning behaviour. Nevertheless, over a few trips, success at gap finding increased, visual scans were reduced, the paths became straighter, and individuals took less time to reach the goal.

opencc-zeroJun 2021View details →

opencc-by-4.0Dec 2022View details →

Dataset from paper: "Mind the Gap: Reconciling tropical forest carbon flux estimates from Earth Observation and National Reporting requires transparency"

This repository contains the processed data used in the publication of Heinrich et al., 2023 (Mind the Gap: Reconciling tropical forest carbon flux estimates from Earth Observation and National Reporting requires transparency). Carbon Balance and Management: https://cbmjournal.biomedcentral.com/articles/10.1186/s13021-023-00240-2 When using this data, full reference to the raw data publications and the publication Heinrich et al., 2023 must be made.The raw datasets used in this study are all available from their original sources.

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Design and implementation of a brief digital mindfulness and compassion training app for health care professionals: cluster randomized controlled trial

Background: Several studies show that intense work schedules make health care professionals particularly vulnerable to emotional exhaustion and burnout. Objective: In this scenario, promoting self-compassion and mindfulness may be beneficial for well-being. Notably, scalable, digital app–based methods may have the potential to enhance self-compassion and mindfulness in health care professionals. Methods: In this study, we designed and implemented a scalable, digital app–based, brief mindfulness and compassion training program called "WellMind" for health care professionals. A total of 22 adult participants completed up to 60 sessions of WellMind training, 5-10 minutes in duration each, over 3 months. Participants completed behavioral assessments measuring self-compassion and mindfulness at baseline (preintervention), 3 months (postintervention), and 6 months (follow-up). In order to control for practice effects on the repeat assessments and calculate effect sizes, we also studied a no-contact control group of 21 health care professionals who only completed the repeated assessments but were not provided any training. Additionally, we evaluated preand postintervention neural activity in core brain networks using electroencephalography source imaging as an objective neurophysiological training outcome. Results: Findings showed a post- versus preintervention increase in self-compassion (Cohen d=0.57; P=.007) and state-mindfulness (d=0.52; P=.02) only in the WellMind training group, with improvements in self-compassion sustained at follow-up (d=0.8; P=.01). Additionally, WellMind training durations correlated with the magnitude of improvement in self-compassion across human participants (ρ=0.52; P=.01). Training-related neurophysiological results revealed plasticity specific to the default mode network (DMN) that is implicated in mind-wandering and rumination, with DMN network suppression selectively observed at the postintervention time point in the WellMind group (d=–0.87; P=.03). We also found that improvement in self-compassion was directly related to the extent of DMN suppression (ρ=–0.368; P=.04). Conclusions: Overall, promising behavioral and neurophysiological findings from this first study demonstrate the benefits of brief digital mindfulness and compassion training for health care professionals and compel the scale-up of the digital intervention.

opencc-zeroFeb 2024View details →

opencc-by-4.0Feb 2022View details →

Mind Map of The European Bioinformatic infrastructure for the Life Sciences (ELIXIR) activities

This diagram showcases the organisation of the different components of the ELIXIR network, with brief description of the activities therein.

opencc-by-4.0May 2022View details →

MINDFULNESS, REARING STYLES AND EMOTION DYSREGULATION IN A SAMPLE OF ADOLESCENTS WITH BORDERLINE PERSONALITY DISORDER.

Our objective is to understand the influence of rearing styles and mindfulness skills in emotion dysregulation and BPD in adolescents. We tested the idea in this study. Firstly, we compared rearing styles, emotion dysregulation, and mindfulness skills between a clinical BPD group and a non-clinical control group. We sought to determine whether these characteristics were present in different levels in adolescents with and without BPD features or other psychopathologies. Later, we analyzed the effect of the different rearing styles and mindfulness skills in emotion dysregulation and borderline characteristics.

opencc-by-4.0Jan 2018View details →

Data from "Effects of a brief mindfulness-meditation intervention on neural measures of response inhibition in cigarette smokers", Plos One 2017

32-channel(+8) raw data (Biosemi Active two, 10-20, 512Hz) unfiltered from the 2018 Plos ONE paper "Effects of a brief mindfulness-meditation intervention on neural measures of response inhibition in cigarette smokers"

opencc-by-4.0May 2024View details →

Agile Minds, Innovative Solutions, and Industry–Academia Collaboration: Lean R&D Meets Problem-based Learning in Software Engineering Education

Supplementary materials of the paper "Agile Minds, Innovative Solutions, and Industry–Academia Collaboration: Lean R&D Meets Problem-based Learning in Software Engineering Education"

opencc-by-4.0Jul 2019View details →

MINDS-Libras Dataset

opencc-by-4.0Oct 2019View details →

Mind the gap: The location of the lower edge of the pair instability supernovae black hole mass gap

Inlists and run_star_extras.f90 used for the paper: "Mind the gap: The location of the pair instability supernovae black hole mass gap" datafile1.txt contains a machine readable table for all parameters varied in the paper. This work was done with MESA version 11123 and with the MESASDK version 20180822.

opencc-by-4.0Aug 2021View details →

Raw data for the article: Mind the stimulation site: Enhancing and diminishing sentence comprehension with anodal tDCS

In a previous sham-controlled study, we showed the feasibility of increasing language comprehension in healthy participants by applying anodal transcranial direct current stimulation (atDCS) over the left inferior frontal gyrus (LIFG). In the present work, we present a follow-up experiment targeting with atDCS the left inferior parietal cortex (LIPC) while participants performed the same auditory comprehension task used in our previous experiment. Both neural sites (LIFG and LIPC) are crucial hubs of Baddeley’s model of verbal short-term memory (vSTM). AtDCS over LIPC decreased accuracy as compared to sham and LIFG stimulation, suggesting the involvement of this area in sentence comprehension. Crucially, our results highlighted that applying tDCS over different hubs of the same neural network can lead to opposite behavioural results, with relevant implications from a clinical perspective.