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8,020 results for “pilot”
Pilot 2 game scenarios
<p>This dataset will contain information about the content available in the game scenarios developed by CROSSCULT social sciences experts for the users participating in the experiments of pilot 2. It will include details of the questions and answers provided to the users within the quizzes presented as part of pilot 2. It will contain predefined graphs of concepts and relationships to explore, attached sets of choices for the concepts that will be left blank (including different sets for different individual/team profiles and locations) and attached multimedia contents.</p> <p>The dataset will be presented on the form of XML files indicating the venues involved, the structuring the concepts and relationships in the graph, the concepts left blank and the possible sets of answers.</p>
Pilot 3 visitor interactions and staff observations
<p>This dataset will include the contributions of participants during the experiments. The information (linked to the corresponding profiles from the CROSSCULT-DS-pilot_3_Visitor_Profiles dataset) will comprise records of individual/collective interactions, plus observations from the guiding staff of the venues (e.g. about the mood of the participants, amount of idle time, reception of the micro-augmentations, etc.).</p> <p>The format of the data will be XML files structuring the different kind of contributions and contributors in every stage of the user experience.</p> <p>The information of this dataset will be provided by the participants in the proposed experiences. No reuse of additional information is foreseen, as this information cannot be enhanced by any external contribution.</p>
Pilot 3 Game Scenarios
<p>This dataset will contain information about the content available in the game scenarios developed by CROSSCULT social sciences experts for the users participating in the experiments of pilot 3. It will include details of the questions and answers provided to the users within the quizzes presented as part of pilot 3, pre-visit experience.</p> <p>No elaborated data following the same structure will be reused. All the dataset resources will be extracted from the contents involved in the composition of the pilot 3 games, be in the form of XML files.</p> <p>As all the information will be in the form of XML files, no significant amount of information will be stored. The estimation is around several Kbytes by game</p>
Pilot 2 visitor profiles
<p>This dataset will include all the information used to create the profiles of the visitors participating in the experiments of pilot 2. This way, the dataset contents will be used to model the users that will play the games of the pilot and so help the apps to personalise the options to be offered to them in order to get a more appealing experience for every visitor.</p> <p>This dataset will comprise information about the visitors who participate in the games, including psycho-demographic data, cognitive style, and interests mined from social networks. All the information will be anonymised and the storage will be organised by assigning an anonymised identifier to every participant.</p>
Pilot 1 National Gallery collection literals
<p>These datasets enclose information about the venue participating in pilot 1, The National Gallery (NG) London and the NG collection. These datasets will be used to model the ontology of the paintings of the NG collection. The datasets will be composed of the extensions of the upper-level ontology used to describe the types and relationships required to capture the NG collection and the actual literal data related to the collection. They will be created by NG staff along with assistants from other CROSSCULT researchers, as part of other related NG projects and an ongoing program within the NG to develop and enhance its collection information. The final literal dataset will take the form of structured XML files, with the information modelled in OWL. The types and relationships captured within these files will be documented within the overall ontology, which will also take the form of structured XML. The overall ontology will be based on the CIDOC-CRM cultural heritage standard, along with other related ontologies and enhancements that have been selected and or developed within the CROSSCULT project. The core (Tombstone) data will be retrieved from NG collection information held in the National Gallery Collection Management System (CMS) TMS (The Museum System™) and will be presented to the CROSSCULT app via a new API.</p>
PHIME Pilot resting state fMRI study
<p>Resting state functional Magnetic Resonance Imaging (fMRI) data for 14 adolescents (12-18 years) that were part of a pilot neuroimaging study on manganese exposure and brain development in Northern Italy. Participants are part of the Public Health Impact of Manganese Exposure (PHIME) study.</p> <p>Data include a 10-minute resting state fMRI scan (repetition time: 2500 ms) and an anatomical scan (3D MPRAGE) for each subject.</p>
COMMONFARE: F2F Italian pilot questionnaire dataset
<p>Dataset of the PIE News project questionnaire in the Italian pilot managed by the BIN Italia partner.</p>
Improving quality of life among healthy individuals through theatre activities: a theatre-in-health pilot project
<p><strong>Background</strong></p> <p>Review of previous studies regarding arts and health reveals knowledge gaps regarding the use of theatre activities outside a clinical setting with healthy participants. The purpose of this study was to evaluate quality of life benefits of structured theatre training improvisations among generally healthy individuals.</p> <p><strong>Methods</strong></p> <p>A mixed methods approach was used at three theatre activities workshops. Pre- and post-quality of life surveys were completed at administered at each workshop. workshop. Participants also free wrote after the workshops, reflecting on their experiences.</p> <p><strong>Results</strong></p> <p>The surveys showed that there was a statistically significant shift in a positive direction in each domain studied. Themes that emerged from the free-writing responses were those of play, social acceptance, gratitude, and community.</p> <p><strong>Conclusions</strong></p> <p>Findings demonstrate that structured theatre activities produce quality of life benefits across all domains. This pilot study indicates the potential for such theatre-in-health projects as a tool for quality of life improvement.</p>
Data from "Exploring Gut Microbiota Profile Induced by Antipsychotics in Schizophrenic Patients: Insights from an Eastern European Pilot Study", Nita (Ilie) et al. 2025
<p>Dataset containing raw demultiplexed FASTQ files of the sequenced samples, generated by the Illumina MiSeq platform. </p> <p>MiSeq_demultiplexed-V3_V4-HC_SCZ.zip - MiSeq raw sequences of the V3-V4 region 16S rRNA gene from subject fecal material. This ZIP file contains the FASTQ files of the paired-end reads (R1: forward reads; R2: reverse reads) produced for each sample using the MiSeq platform.</p> <p>metadata-HC_SCZ.csv - The list of sequenced samples and associated metadata.</p>
Dataset - "An Adaptive Multi-Seasonal ARIMA Approach for Domestic Hot Water Load Forecasting: A Pilot Study"
<p>The description of the data is in README.txt.</p>
ROV 4k Video - Ria De Vigo (Spain) pilot site
<table> <tbody> <tr> <td> <p><strong><span>Identification</span></strong></p> </td> </tr> <tr> <td> <p><span>Full Title</span></p> </td> <td> <p><span>ROV 4K Video - Ria De Vigo (Spain) pilot site</span></p> </td> </tr> <tr> <td> <p><span>Abstract</span></p> </td> <td> <p><span>Underwater 4K videos captured using the Chasing M2 ROV with UHD Camera. These videos were collected during two field campaigns in the Ria de Vigo marine area: (a) September 2023 (27/09/2023), and (b) March 2024 (21/03/2024). The aim of the dataset is to record the seabed at different depths (September 2023 depths reaching 35</span><span>m</span><span> and March 2024 depths reaching 3m) in the Vigo shallow waters area.</span></p> </td> </tr> <tr> <td> <p><span>Keywords</span></p> </td> <td> <p><span> ROV, underwater, seabed, video</span></p> </td> </tr> <tr> <td> <p><span>Pilot area</span></p> </td> <td> <p><span> Ria De Vigo</span></p> </td> </tr> <tr> <td> <p><span>Associated resources</span></p> </td> <td> <p><span> </span></p> </td> </tr> <tr> <td> <p><span>Language</span></p> </td> <td> <p><span> English</span></p> </td> </tr> <tr> <td> <p><span>URL</span></p> </td> <td> <p><span> </span></p> </td> </tr> <tr> <td> <p><span>Categories</span></p> </td> <td> <p><span> Video</span></p> </td> </tr> <tr> <td> <p><strong><span>Temporal reference</span></strong></p> </td> </tr> <tr> <td> <p><span>Creation date (dd.mm.yyyy)</span></p> </td> <td> <p><span> 23.08.2024</span></p> </td> </tr> <tr> <td> <p><span>Revision date (dd.mm.yyyy)</span></p> </td> <td> <p><span> 23.08.2024</span></p> </td> </tr> <tr> <td> <p><strong><span>Quality and validity</span></strong></p> </td> </tr> <tr> <td> <p><span>Representation type</span></p> </td> <td> <p><span> Video</span></p> </td> </tr> <tr> <td> <p><span>Format</span></p> </td> <td> <p><span> MP4</span></p> </td> </tr> <tr> <td> <p><span>Lineage</span></p> </td> <td> <p><span> .mp4 files from ROV chasing M2</span></p> </td> </tr> <tr> <td> <p><span>Spatial resolution</span></p> </td> <td> <p><span> </span></p> </td> </tr> <tr> <td> <p><span>Positional accuracy</span></p> </td> <td> <p><span> </span></p> </td> </tr> <tr> <td> <p><span>Maintenance information</span></p> </td> <td> <p><span> </span></p> </td> </tr> <tr> <td> <p><span>Coordinate system</span></p> </td> <td> <p><span> </span></p> </td> </tr> <tr> <td> <p><strong><span>Constraints related to access and use</span></strong></p> </td> </tr> <tr> <td> <p><span>Use limitation</span></p> </td> <td> <p><span> Free</span></p> </td> </tr> <tr> <td> <p><span>Access constraint</span></p> </td> <td> <p><span> None</span></p> </td> </tr> <tr> <td> <p><span>Public/Private</span></p> </td> <td> <p><span> Public</span></p> </td> </tr> <tr> <td> <p><strong><span>Responsible organisation</span></strong></p> </td> </tr> <tr> <td> <p><span>Responsible Contact</span></p> </td> <td> <p><span> <a href="mailto:izananiri@eagme.gr">izananiri@eagme.gr</a> </span></p> </td> </tr> <tr> <td> <p><span>Responsible Party</span></p> </td> <td> <p><span> HSGME</span></p> </td> </tr> <tr> <td> <p><strong><span>Metadata on metadata</span></strong></p> </td> </tr> <tr> <td> <p><span>Contact</span></p> </td> <td> <p><span> <a href="mailto:izananiri@eagme.gr">izananiri@eagme.gr</a></span></p> </td> </tr> <tr> <td> <p><span>Metadata language</span></p> </td> <td> <p><span> English</span></p> </td> </tr> </tbody> </table>
Operational results and data from Smart2B pilots (2022-2024)
<div>The file is an Elasticsearch snapshot that should be restored following the official procedure, described as follows: https://www.elastic.co/guide/en/elasticsearch/reference/current/snapshot-restore.html archived and compresssed using the combination of Tar and XZ tools, respectively.</div>
TEXTOUR Pilot Data
<p>This dataset is a part of Social Innovation and TEchnologies for sustainable growth through participative cultural TOURism (TExTOUR) project. It has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No.101004687.</p> <p> </p> <p>The dataset contains information entered by nine pilots on project platform. For example:</p> <p>1. Point of interest<br>2. Route<br>3. Event<br>4. Local project promotion<br>5. Establishment</p>
Be.CULTOUR Survey on visitors of pilot heritage sites 2021-2022
<p>Survey conducted under Be.CULTOUR project on visitors of pilot heritage sites in Italy (Vulture-Alto Bradano, Basilicata), Cyprus (Larnaca Rural Area), Spain (Cultural Park of the Rio Martin, Teruel, Aragon region), Sweden (Forsvik, Rydal villages), Serbia (Bac, Skremci Karlovski, Irig villages), Romania-Moldova (Cultural Route of Stefan the Great, cross-border area between North-East Romania and Moldova). The Database contains 900 records representing the answers of visitors to the Survey conducted in 2021-2022. The Survey (example for Basilicata) is also published.</p>
CiROCCO Video - Benban Solar Park Pilot, Egypt
<p>This is a promotional video created by CiROCCO partner CEDARE, in light of the first Stakeholders' workshop that was held in Cairo, Egypt. Link here https://www.youtube.com/watch?v=rQNdRN0N42I&t=9s</p>
ACROSS WP5 Combustor Pilot Open Data
<p><em>Evolution of reactive aerothermal fields in the U-THERM3D numerical simulations of FIRST combustor</em></p>
Assessing the feasibility and acceptability of a pre-clinic vital signs assessment in primary care: a pilot study.
Open the record for dataset details and reuse information.
PPG Diary Pilot Study 1 Data
<p>The following data are provided from the PPG Diary 1 Study. <em>Definition: PPG - photoplethysmogram</em></p> <p> </p> <p><strong>Versions:</strong></p> <ul> <li><strong>Preliminary Subsets v.0.1: </strong>Three subsets are provided: (i) a one-hour recording of simultaneous red and infrared PPG signals; (ii) a one-minute recording of infrared PPG signal; (iii) a recording of a single pulse wave, acquired using infrared PPG. Each recording was acquired from the same subject during sleep. The recordings are provided in Matlab ® format.</li> <li><strong>v.1.1 - Complete Dataset: </strong>The complete dataset is provided in the Matlab ® file named <em>ppg_diary_pilot_conv_data.mat</em>. The contents of the file are described in the README file named <em>ppg_diary_pilot_study_data_README.txt </em>. In addition, the Matlab ® codes used to analyse the dataset are also provided: <em>ppg_diary_pilot1_analysis.m</em> (which is the main function), and <em>PulseAnalyse </em>(v.1.2beta, which is called by the main function). Instructions on how to use the codes to analyse the dataset are provided <a href="https://github.com/peterhcharlton/ppg-diary/blob/master/ppg-diary_v1.0/README.md">here</a>. </li> <li><strong>v.1.2 - including the Submitted Manuscript</strong>: The submitted manuscript is available <a href="https://zenodo.org/record/5211472/files/PCharlton%20et%20al%20-%20Acquiring%20wearable%20PPG%20data%20%28submitted%20manuscript%29.docx?download=1">here</a>.</li> </ul> <p> </p> <p><strong>Further Information</strong></p> <p>Further information of the PPG Diary Project, and the data provided here, is available at: <a href="https://peterhcharlton.github.io/ppg-diary/">https://peterhcharlton.github.io/ppg-diary/</a></p>
Real Operatiοn Data from PV, WT, Battery (measurements from pilot site)
<p>Real Operatiοn Data from PV, WT, Battery (measurements from pilot site)</p>
Verification of the effects of a YouTube-based home-based (self-managed intervention) training system developed for frailty prevention―A pilot study ―
<p><em>Background and Objectives</em>: Resistance training is considered the most effective intervention for increasing older people’s muscle mass and strength. We devised a self-administered training system (squat + balance training, sukubara®) that incorporates a new low-load exercise. This study hypothesizes that introducing sukubara® affects skeletal muscle mass and physical function positively, and we first conducted a preliminary verification in healthy non-elderly participants.</p> <p><em>Materials and Methods</em>: This study’s participants were non-elderly healthy hospital personnel. Applicants were randomly assigned to two groups, a resistance training group that performed an exercise program (sukubara®) and a control group that did not, and they received a 12-week intervention. This study’s primary endpoint was change in skeletal muscle mass; the secondary endpoints were knee extension strength and one-leg standing time with eyes closed.</p> <p><em>Results</em>: An analysis of Tthe 18 participants (10 in the resistance training group and 8 in the control group), who were 18 analyzed this study’s results was performed. The results of changes in variables between both groups during the intervention period were as follows: skeletal muscle mass, knee extension strength, and one-leg standing time were significantly improved or tended to be significantly higher in a resistance training group than in a control group. <em>Conclusions</em>: A self-administered training system (sukubara®) incorporating low-load exercise resulted in muscle hypertrophy and improvement in physical function.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.