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93 results for “Dashboard”

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zenodo40/100

User Guide – Dashboard on Listeria monocytogenes

<p>The EFSA dashboard on <em>Listeria</em> <em>monocytogenes</em> is a graphical user interface for searching and querying the large amount of data collected each year by EFSA from EU Member States and other reporting countries based on Zoonoses Directive 2003/99/EC. The <em>Listeria</em> <em>monocytogenes</em> dashboard shows summary statistics for the monitoring results of the pathogen with regard to major ready-to-eat food categories, <em>Listeria</em> <em>monocytogenes</em>-positive official samples in the context of food safety criteria in accordance with Regulation (EC) No 2073/2005 and official samples exceeding the food safety criteria limit of 100 CFU/g for specified food matrices. Other monitoring statistics for <em>Listeria monocytogenes</em> in ready-to-eat foods are also displayed. The <em>Listeria</em> <em>monocytogenes</em> data and related statistics can be displayed interactively using charts, graphs and maps in the online EFSA dashboard. The main statistics can also be viewed and downloaded in tabular format. Detailed information on the use and features of the <em>Listeria monocytogenes</em> dashboard can be found in the present user guide that can also be downloaded from the online tool.</p>

opencc-by-4.0Dec 2022View details →
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User Guide – Dashboard on Campylobacter

<p>The EFSA dashboard on <em>Campylobacter</em> is a graphical user interface for searching and querying the large amount of data collected each year by EFSA from EU Member States and other reporting countries based on Zoonoses Directive 2003/99/EC. The <em>Campylobacter</em> dashboard shows summary statistics for the monitoring results of the pathogen with regard to major food categories, <em>Campylobacter</em>-positive official samples exceeding the Process Hygiene Criterion limit of 1,000 CFU/g for chilled broiler carcases and the occurrence of <em>Campylobacter</em> in major food categories. The <em>Campylobacter</em> data and related statistics can be displayed interactively using charts, graphs and maps in the online EFSA dashboard. The main statistics can also be viewed and downloaded in tabular format. Detailed information on the use and features of the <em>Campylobacter</em> dashboard can be found in the present user guide that can also be downloaded from the online tool.</p>

opencc-by-4.0Dec 2022View details →
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User Guide – Dashboard on Brucella

Open the record for dataset details and reuse information.

opencc-by-4.0Dec 2023View details →
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Robots for Microfarms (ROMI) - Farmers Dashboard Video - D3.4

<p><strong>The following video shows the functionalities and usage of the&nbsp;Farmer&rsquo;s Dashboard&nbsp;developed within the Robots for Microfarms (ROMI) project funded by EU Grant&nbsp;773875</strong></p> <p><em>You can also watch it&nbsp;on <a href="https://www.youtube.com/channel/UCT55o32SE30a8pTu-chatTA/videos">Youtube</a></em></p> <p><strong>Video content:</strong></p> <ul> <li><em>Farmers Dashboard Summary.mp4</em></li> <li><em>Tell me more - a deeper dive into the Cablebot.mp4</em></li> <li><em>Tell me more - a deeper dive into the Farmers Dashboard.mp4</em></li> </ul> <p>&nbsp;</p> <p><strong>Videos summary:</strong></p> <p><br> The Farmer&rsquo;s Dashboard is a farming tool that provides daily automated insights about your crops. It helps with mapping of crop bed, the location and identification of individual plants, and the extraction of their growth curves from the collected data.&nbsp;</p> <p>The dashboard benefits polycrop farmers and researchers. It opens-up technology and practices common to industrial-scale agriculture, making them accessible and useful to ecological and sustainable farmers.</p> <p>It relies on an automated system for data acquisition, a set of tools for image analytics, and finally, an online platform for spatial management and data visualization. The data can be provided by different types of devices: a cablebot, a drone or a rover according to the configuration of each farm.&nbsp;</p> <p>The Cable Bot can be fixed above a crop bed using a tensioned cable, which is especially easy using a polytunnel. We can use the manual remote to correctly position the camera, to capture all of the crops. Once set up, the Cable Bot will move multiple times a day across the crop bed, taking high definition images and sending them to a ROMI server. The images are assembled into a unique portrait of your crop bed. After plants are detected, a catalogue of individual plants is created. By comparing them with historical data, we can obtain plant growth curves. All of the information is then combined into a weed map which is made available on the Farmers Dashboard website.</p> <p>Because of the legal restrictions on the use of drones and because of the rapid evolution of the drone market, the ROMI project has decided to direct its effort to a hardware solution that complements the existing tools: the Cablebot. Multiple iterations were needed to achieve a powerful yet robust and low-cost solution. The current system is a fully automated imaging device able to collect data on a high variety of crops.&nbsp;</p> <p>The first iteration of the software focuses on the mapping of crop rows, the location and identification of individual plants, and the extraction of their growth curves from the collected data.&nbsp;&nbsp;</p> <p>The rover is available as an Open Source project. All of the source code and plans are freely available. That allows us to improve the design over time using input from farmers and engineers. That is also why we made the design modular using components that can be found &ldquo;off-the-shelf&rdquo; or that can be produced using 3D printers and laser cutters. People with development skills can also contribute. Our software is available online on Github. That makes the Romi Farmers Dashboard an excellent platform to experiment with innovative tools for farming.</p>

opencc-by-4.0Dec 2020View details →
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Figure 1 in EphemBrazil: a curated online database and dashboard to explore the distribution of mayflies (Insecta: Ephemeroptera) from Brazil

Figure 1 General view of the website and interactive map view tab showing filters on the top and family subtitles in the right corner. Note that no filter is applied and all records are shown.

opencc-by-4.0Nov 2023View details →
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AURORA Energy Tracker App Dashboard on 9 September 2024

<p>Snapshots of the AURORA Energy Tracker dashboard, showing data collected on 9 September 2024 regarding average user, energy labels and gender distribution.</p> <p>The dashboard is available at https://dashboard.aurora-h2020.eu/en-GB and shows data from 6 February 2024. Note that AURORA is an ongoing citizen science project and the data on this page is provided without guarantee.</p>

opencc-by-4.0Sep 2024View details →
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Assessing Orchestration Load in Teacher-Facing Dashboards - Figure 2

<p>Figure of the results of the second session in the paper Assessing Orchestration Load in Teacher-Facing Dashboards.</p>

opencc-by-4.0Sep 2021View details →
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Assessing Orchestration Load in Teacher-Facing Dashboards - Figure 1

<p>Figure of the results of the first session in the paper Assessing Orchestration Load in Teacher-Facing Dashboards.</p>

opencc-by-4.0Sep 2021View details →
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Assessing Orchestration Load in Teacher-Facing Dashboards - Figure 4

<p>Figure of the results of the fourth session in the paper Assessing Orchestration Load in Teacher-Facing Dashboards.</p>

opencc-by-4.0Sep 2021View details →
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Assessing Orchestration Load in Teacher-Facing Dashboards - Figure 3

<p>Figure of the results of the third session in the paper Assessing Orchestration Load in Teacher-Facing Dashboards.</p>

opencc-by-4.0Sep 2021View details →
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MOTION Dashboard on Sustainable Destinations in the EU

<p><strong>Content of the dashboard:</strong></p> <ul> <li>All regions in the EU: Countries + NUT2.</li> <li>Period 2010-2022.</li> <li>Environmental sustainability: 9 indicators.</li> <li>Economic sustainability: 8 indicators.</li> <li>Social sustainability: 5 indicators.</li> </ul>

opencc-by-4.0Jul 2023View details →
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PANDEM-2 Dashboard Demo

<p>Introducing the PANDEM-2 Dashboard Prototype, an EU-wide tool for pandemic preparedness, training, and response for public health officials.&nbsp;This platform seamlessly integrates pandemic-related data from various sources, including international and national systems, participative surveillance platforms, laboratory systems, social media, and pandemic modelling. Tailored to&nbsp;support the specific needs of public health agencies in the realm of pandemic management the PANDEM-2 dashboard Prototype is an open-source solution, built on best practices, that is user-friendly and highly customizable. It&nbsp;offers a practical solution for enhancing pandemic readiness, complementing existing information systems, and encourages collaboration among stakeholders and across regions.&nbsp;</p>

opencc-by-4.0Sep 2023View details →
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Ecore version of the meta-model for information dashboards (v2)

<p>The dashboard metamodel is a M2-model instantiated from Ecore, a M3-model in the four-layer metamodel architecture of OMG. This version includes the addition of a task taxonomy and a goal taxonomy for information visualization.</p>

opencc-by-4.0Jan 2020View details →
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Supplementary material 17: Generating Interactive Dashboard Charts Based on Plazi Treatment Data from: Integrating and visualizing primary data from prospective and legacy taxonomic literature - Biodiversity Data Journal 3: e5063 (12 May 2015) https://doi.org/10.3897/BDJ.3.e5063

A brief explanation of how to create and customize interactive charts using data on Plazi.

opencc-by-4.0Feb 2017View details →
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TRAFAIR Traffic Dashboard

<p>The two videos show the TRAFAIR traffic dashboard that was a web application developed within the TRAFAIR European project and that was active between the second half of 2020 and the beginning of 2023. Now the web application is no more available.</p>

opencc-by-4.0Oct 2023View details →
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User Guide – Dashboard on Shiga toxin-producing Escherichia coli (STEC)

<p>Frank Boelaert</p>

opencc-by-4.0Dec 2023View details →
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Ecore version of the meta-model for information dashboards (v3)

<p>The dashboard metamodel is a M2-model instantiated from Ecore, a M3-model in the four-layer metamodel architecture of OMG. This version includes the some modifications to better support the definition of dashboards.</p>

opencc-by-4.0Dec 2021View details →
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Interaction event data logged by the SMASH medication safety dashboard

<p>Interaction event data logged by the SMASH medication safety dashboard from 21 January 2016 to 13 October 2016.</p>

opencc-by-nc-4.0Jun 2018View details →
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Assessing Orchestration Load in Teacher-Facing Dashboards

<p>Figures</p>

opencc-by-4.0Sep 2021View details →
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EvoDash: Interactive Dashboard to explore Evolution Education in Europe

<p>EvoDash is an interactive dashboard that displays data collected in the EuroScitizen COST Action (CA17127). Several EuroScitizen working groups have collected data to investigate different research questions associated with evolution outreach, evolution education, public knowledge and acceptance, or scientific literacy.<br> EvoDash is our way to transparently disseminate our research results. On EvoDash, you can actively explore EuroScitizen data based on your own research questions, create graphs and download data.<br> EvoDash contains data from three projects: 1. Evolution Acceptance and Knowledge across Europe, 2. European Curricula Analysis, and 3. Evolution Education Sites. You can navigate to the projects via the menu. Information about each project, data availability, resources, and citations are provided for each project.&nbsp;<br> More details can be found at:&nbsp;<a href="http://www.evodash.eu/">www.evodash.eu</a>&nbsp;</p> <p>This publication is based upon work from COST Action EuroScitizen, supported by COST (European Cooperation in Science and Technology). COST (European Cooperation in Science and Technology) is a funding agency for research and innovation networks. Our Actions help connect research initiatives across Europe and enable scientists to grow their ideas by sharing them with their peers. This boosts their research, career and innovation. www.cost.eu</p>

opencc-by-4.0Mar 2023View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record