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8,020 results for “pilots”
VR-Together Pilot 3: Geometry of living room, bedroom. Materials, textures and illumination
<p>VR-Together Pilot 3 geometry of living room and bedroom, materials, textures and illumination.</p> <p>This dataset contains de material created for the <a href="https://vrtogether.eu/about-vr-together/pilots/pilot3/">Pilot 3 of the VR-Together project</a>. In particular, it contains the following material:</p> <ul> <li>Geometry of the living room</li> <li>Geometry of the bedroom</li> <li>Objects</li> <li>Textures</li> <li>Illumination scheme</li> </ul> <p>All the previous material has been created in Unity.</p> <p>VR-Together has been funded by the European Commission as part of the H2020 program, under the grant agreement 762111.</p>
SAFE STRIP Pilot Experiments Dataset
<p>This dataset contains messages sent from vehicle to the Road Side Unit and vice versa. There are event driven messages DENM, periodical messages with state of the vehicles (CAM) and custom messages for environmental factors. The latters comes from the Road Side Unit, fed by sensors for environment and sensor on the road (strips)</p>
SAFE STRIP Pilot Experiments extensive dataset
<p>This dataset includes messages sent from ORU (On-Road Unit) to RSB (Road Side Bridge) and from RSB to Vehicles. Data has been collected from use-case scenarios implemented in experimental testing pilots in Italy and Spain. Different types of messages are sent by ORU to the RSB. The messages can be divided into two categories based on the way of transmission. There are messages transmitted periodically containing information about the weather road conditions and event-triggered messages containing information related to the detection of a vehicle or pedestrian on the road. ORU's collected information is enhanced with provided information by a multi-sensor connected to the RSB. Apart from the multi-sensor, a control unit placed on the road strain gauges provides information about the road condition to the RSB. Based on the type of vehicles (equipped or non-equipped), RSB communicates with them through appropriate messages sent to ITS-G5 or LTE network (MQTT Broker). A detailed description of the messages mentioned above is given in the "Annex C-data-description-template" file (please refer to the "Virtual VRU protection of Mobile Cooperative safety function in SAFE STRIP" dataset). The RSB log files of various use-case scenarios are available in the "SafeStrip Log Files" folder.</p>
USE-ME Empirical evaluation pilot study
<p>We report on the pilot assessment of the feasibility of the <strong>USE-ME tool </strong>with master students in computer science which were involved into a DSL course. In total there were four groups consisted of two or three participants which were developing the following DSLs:</p> <ul> <li><strong>DSL Spreadsheets </strong>- a DSL transforms an activity graph into a Gantt chart. The target users of this DSL are to be project managers.</li> <li><strong>Gestures Kinect</strong> - a DSL which supports specification of communication between navy users using a Kinect device. The target users of this DSL are to be a navy operators.</li> <li><strong>Peddy Paper</strong> - a DSL which creates several instances of personalised paddy papers. The target users are paddy paper builders.</li> <li><strong>Smart House </strong>- a DSL which supports a design of the elements and operations that the house can have. It is meant to be used by house owners. </li> </ul> <p>The evaluation consisted of three learning session. The first one took place after four weeks of the DSL development. Students were introduced to the usability evaluation during a 2h theoretical lecture. For next 2h were introduced with the USE-ME tool and were guided to perform installation and set up working environment. Also, the students were given a participation questionnaire to fill in and describe a purpose of their DSL. In the end of a session, they were given the background questionnaire to fill till the following session which was happening 1 week after. Following two weekly 4h sessions were consisting of USE-ME hands on. The students were introduced to the modelling activities followed by Visualino example. For each activity, the same student from the group was using the tool to create USE-ME models for their DSL, while other students from the group were helping in deciding what would be a right specification. Finally, students were asked to try to finish the learned models and deliver them as a part of DSL course. After delivery, the students which were using the tool to model were asked to fill in a feedback questionnaire. </p> <p>The evaluation deliveries related to each DSL (project reports, USE-ME models), and ones related to participants (background and feedback questionnaire), as well as evaluation results, are attached in this data set. </p>
Pilot study: Ranking of textual snippets based on the writing style
<p>In this pilot study, we tried to capture humans' behavior when identifying authorship of text snippets. At first, we selected textual snippets from the introduction of scientific articles written by single authors. Later, we presented to the evaluators a source and four target snippets, and then, ask them to rank the target snippets from the most to the least similar from the writing style.</p> <p>The dataset is composed by 66 experiments manually checked for not having any clear hint during the ranking for the evaluators. For each experiment, we have evaluations from three different evaluators.</p> <p>We present each experiment in a single line (in the CSV file), where, at first we present the metadata of the Source-Article (Journal, Title, Authorship, Snippet), and the metadata for the 4 target snippets (Journal, Title, Authorship, Snippet, Written From the same Author, Published in the same Journal) and the ranking given by each evaluator. This task was performed in the open source platform, Crowd Flower. </p> <p>The headers of the CSV are self-explained. In the TXT file, you can find a human-readable version of the experiment. </p> <p>For more information about the extraction of the data, please consider reading our paper: "Extending Scientific Literature Search by Including the Author’s Writing Style" @BIR: http://www.gesis.org/en/services/events/events-archive/conferences/ecir-workshops/ecir-workshop-2017 </p>
Data for "Combining 13C, 15N, and 2H tracer to measure feeding and metabolic activity in marine, shallow-water sponges – A pilot study"
<p>This dataset includes raw data used in the paper "Combining <sup>13</sup>C, <sup>15</sup>N, and <sup>2</sup>H tracer to measure feeding and metabolic activity in marine, shallow-water sponges – A pilot study" (JEMBE).</p>
Fig. 1 in Insects Associated with the European Mistletoe (Viscum album) in Western Ukraine: a Pilot Study
Fig. 1. Longitudinal section through the tissues of the host tree (Tilia cordata) and European mistletoe (Viscum album): A–A1 — section through intact tissues of mistletoe and host tree; B–B1, CC1 — section through infest- ed by xylophagous insects' tissues of mistletoe and host tree; D–D1 — section through infested by xylophagous insects' mistletoe tissue. A–D — sections in the original colors, A1–D1 — sections in the false colors. Labels: a (red) — xylophagous insects' galleries; b (pink) — wood of the host tree; c (orange) — bark and phloem of the host tree; d (yellow) — mistletoe wood; e (green) — bark and phloem of mistletoe; f (grey) — the external surface of plants.
Reporting Database of the INCENTIVE project's monitoring and evaluation activities of the Citizen Science Hubs pilot operation (M16-M31)
<p>The current excel file constitutes the INCENTIVE Reporting Database, meaning a repository of the data that were accumulated in WP4 (described within Deliverable 4.1). The results presented here are the main input for the elaboration of Deliverable 4.2 and Deliverable 4.3.</p>
Supplementary Material—Evaluating tactile feedback in addition to kinesthetic feedback for haptic shape rendering: a pilot study
<p>Supplementary Material of the journal article: "<a href="https://www.frontiersin.org/articles/10.3389/frobt.2024.1298537/abstract">Evaluating tactile feedback in addition to kinesthetic feedback for Haptic Shape rendering: a pilot study</a>": DOI: <a href="https://doi.org/10.3389/frobt.2024.1298537">10.3389/frobt.2024.1298537</a></p> <p> </p>
Campina de Faro pilot - data from residents interviews - INCULTUM
<p>Survey of local communities to gather ideas and identify their needs, with the aim of improving cultural tourism experiences.</p>
Campina de Faro pilot - Questionnaire to visitors - INCULTUM
<p>Survey to visitors in Campina de Faro, carried out with the aim of improving the cultural tourism experience.</p>
RAYUELA - Open Data (small) Preliminary Pilots - Data collected through a serious game created to identify patterns and profiles of young potential victims/perpetrators of cybercrimes.
<p>The data of this dataset have been collected in the pilots carried out by the RAYUELA project in different countries of the European Union. The participants are minors and the game sessions have been carried out in schools and summer camps in a supervised way.</p> <p>This is the first version of a larger dataset: https://doi.org/10.5281/zenodo.10604760</p>
GPS trajectories of tourists in Öregrund 2023 from INCULTUM Sweden Pilot
<p>This dataset is part of ongoing work being written about changes in tourists' behaviour in Öregrund.</p>
Surface EMG recordings of the biceps brachii muscle during voluntary isometric contractions - pilot study on fatigue
<p>This publication contains the data recorded during a study on muscle fatigue and its evaluation using surface electromyography (EMG). There were a total of 16 participants. Each directory, with an alphanumeric value contains data from a single participant (.mat and .json files). The README.pdf file in the root directory provides details on the experimental set-up and protocol, and data in each file. </p> <p>The EMG data are provided in matlab files and in addition to those, there are recordings of the <a href="https://doi.org/10.1016/j.jelekin.2019.05.012">perceived fatigue of the participants using a modified Borg CR-10 scale</a> in the json file, in which further participant and experimental information are provided.<br>For each participant information on gender, age (in aggregate form) and height (in aggregate form) are provided.</p> <p> </p>
OpenAIRE Dataset for SciLake transport research pilot
<p>This dataset is related to the subset of the OpenAIRE graph relevant to the transport research pilot. The dataset is built according to the <a href="https://graph.openaire.eu/docs/data-model/">data model</a> of the OpenAIRE Graph dataset.</p>
OpenAIRE Dataset for SciLake energy research pilot
<p>This dataset is related to the subset of the OpenAIRE graph relevant to the energy research pilot. The dataset is built according to the <a href="https://graph.openaire.eu/docs/data-model/">data model</a> of the OpenAIRE Graph dataset.</p>
OpenAIRE Dataset for the SciLake neuroscience pilot
<p>This dataset is related to the subset of the OpenAIRE graph relevant to the neuroscience pilot. The dataset is built according to the <a href="https://graph.openaire.eu/docs/data-model/">data model</a> of the OpenAIRE Graph dataset.</p>
Affective, physiological, and attention restoration at a wooden desk: A pilot study (Datasets and R analysis code)
<p>This entry contains datasets and R processing and analysis code for the article <em>Affective, physiological, and attention restoration at a wooden desk: A pilot study.</em><br> <br> The analysis primarily investigates how people respond to the Mental Arithmetic Task (MAT) in terms of their affective states and physiological arousal, and how their cognitive performance changes between two task administrations. The analysis also checks whether affective, physiological, and cognitive responses differ between settings furnished with or without wood. We base our analysis on self-reported affective states, captured physiological (electrodermal and cardiovascular) activity, and results on the cognitive task (i.e., MAT).</p>
GlobalSCAPE Diary Survey Pilot
<p>The GlobalSCAPE project is setting out to investigate the experiences, attitudes, skills, needs, challenges and professional development of science communicators around the world. This is being achieved with a diary survey, a style of survey designed to be repeated on a set interval several times. To assess the clarity of survey questions prepared for the GlobalSCAPE science communicator diary research, a pilot study was conducted with a sample of participants gathered by project partners (<em>N </em>= 23). This pilot research followed a piggyback approach, where follow-up questions were asked of respondents after they completed each step in the survey. Here, we present the dataset from this pilot survey.</p> <p>For data privacy reasons, open-ended items were excluded from this dataset</p>
Information and results obtained from IoT Platform in Alba Iulia Pilot
<p> </p> <p> The IoT platform allows the geolocation of the container, as well as manage the information of the filling level and traceability of trucks. The eco driving application on board of the truck sends the data from the truck (location, speed, RPM and engine load) t o the IoT platform where it is stored. At the same time sound alarms are emitted when driver excess the ecodriving parameters in the Android application. Besides this, the application receives from the IoT platform the position of the containers that must be collected.</p> <p>In this way the driver can see the position, order of collection of the containers and pathway to collect them, as explained above.<br> The IoT platform receives the information of the labels dispensed from the smart containers. The score of the characterized bags were registered in the platform as explained in the next section. </p> <p>Attached the different data sets generated during the project.</p> <p>For general info, follow the link: https://plasticircle.eu/home/</p>
ScienceDex guides
Understand access before you commit
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.