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604 results for “Teams”

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zenodo28/100

Datasets for the team orienteering problem (TOP) and generalized team orienteering problem (GTOP)

<p>The six datasets are used in the following paper: &nbsp;Wenzheng Xu , Weifa Liang, Zichuan Xu, Jian Peng, Dezhong Peng, Tang Liu, Xiaohua Jia, and Sajal K. Das,&ldquo;Approximation algorithms for the generalized team orienteering problem and its applications,&rdquo;<em><strong>which was submitted to journal</strong> </em>IEEE/ACM Transactions on Networking (ToN) .</p> <p>Specific descriptions for the datasets:</p> <p><strong>1. GTOP-chargingPerformanceTable.xlsx</strong>: the performance comparison of different algorithms in rechargable sensor networks. Some results were published in the following paper: Wenzheng Xu, Zichuan Xu, Jian Peng, Weifa Liang, Tang Liu, Xiaohua Jia, and Sajal K. Das,&ldquo;Approximation algorithms for the team orienteering problem,&rdquo;in Proc. 39th IEEE International Conference on Computer Communications (INFOCOM), 2020, pp. 1389&ndash;1398.</p> <p><strong>2.</strong> <strong>GTOP-chargingTestInstances.rar</strong>: the test instances of rechargable sensor networks.</p> <p><strong>3. GTOP-uavNetworkPerformanceTable.xlsx</strong>: the performance comparison of different algorithms in UAV networks for monitoring disaster areas.</p> <p><strong>4.</strong> <strong>GTOP-UAVnetworkTestInstances.rar</strong>:&nbsp; the test instances for the GTOP problem in UAV networks.</p> <p><strong>5.&nbsp;</strong> <strong>TOP-157instances-original.rar</strong>:&nbsp; 157 test instances for the team orienteering problem, which are also available at:</p> <p>https://w1.cirrelt.ca/~vidalt/en/VRP-resources.html</p> <p><strong>6. TOP-performance.pdf</strong>: the performance comparison of different algorithms for the TOP problems,</p> <p>which is also available at: https://w1.cirrelt.ca/~vidalt/en/VRP-resources.html</p> <p>&nbsp;</p> <p>Please provide reference to Thibaut VIDAL, https://w1.cirrelt.ca/~vidalt/en/VRP-resources.html, if you use datasets 5 and 6.</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Sep 2020View details →
zenodo28/100

PSAS: A Framework for Peer Assessment of an Individuals Skills in a Software Projects Team

<p>Competency assessment in a software project team allows you to identify how each individual can collaborate to achieve the success of a project. The peer assessment approach can bring better results by having the vision of more than one team member. This article proposes a framework to automate the peer assessment of people&rsquo;s competences in software project teams, developed and evaluated using the interaction design approach. The framework allows to create and apply peer reviews with co-assessment, 360-degree and self-assessment strategies and graphically analyze the performance of people, teams, compare the results of the assessment, identify highlights and follow trends through history.</p>

opencc-by-4.0Oct 2020View details →
zenodo28/100

Towards a model for Managing Diversity and Inclusion in So ware Development Teams

<p>Apresenta&ccedil;&atilde;o do artigo &quot;Towards a model for Managing Diversity and Inclusion in So ware Development Teams&quot; no SBES 2020</p>

opencc-by-4.0Oct 2020View details →
zenodo28/100

IMPORTANCE OF BASKETBALL FREE-THROW SHOOTING TECHNIQUE ON ITS EFFECTIVENESS AMONG PLAYERS OF DIFFERENT POSITIONS IN THE UZBEKISTAN CHAMPIONSHIP AMONG THE WOMEN'S TEAMS OF THE HIGHEST LEAGUE

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opencc-by-4.0Nov 2023View details →
zenodo28/100

AI HERO Hackathon 2022 - Team H5 Model Parameters

<p><strong>Model parameters for model created by team H5 at AI HERO Hackathon 2022</strong></p>

opencc-by-4.0Feb 2022View details →
zenodo28/100

AI HERO Hackathon 2022 - Team H1 Model Parameters

<p><strong>Model parameters for model created by team H1 at AI HERO Hackathon 2022</strong></p>

opencc-by-4.0Feb 2022View details →
zenodo28/100

AI HERO Hackathon 2022 - Team E3 Model Parameters

<p><strong>Model parameters for model created by team E3 at AI HERO Hackathon 2022</strong></p>

opencc-by-4.0Feb 2022View details →
zenodo28/100

AI HERO Hackathon 2022 - Team E2 Model Parameters

<p><strong>Model parameters for model created by team E2 at AI HERO Hackathon 2022</strong></p>

opencc-byFeb 2022View details →
zenodo28/100

Supplemental Material: Dynamic Team Heterogeneity in Cooperative Coevolutionary Algorithms

<p>Supplemental videos for the paper "Dynamic Team Heterogeneity in Cooperative Coevolutionary Algorithms".</p> <p>multirover_720.mp4: Best solutions evolved for the multi-rover task.</p> <p>soccer_720.mp4: Best solutions evolved for the soccer task.</p>

opencc-by-nc-nd-4.0Sep 2017View details →
zenodo28/100

CARE AND HUMANIZATION: PERSPECTIVES OF THE NURSING TEAM IN THE STABILIZATION ROOM AS PRIMARY ACTIONS

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opencc-by-4.0May 2024View details →
zenodo28/100

QUALITY OF SERVICES IN CATETERING TEAM

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opencc-by-4.0Jun 2024View details →
zenodo28/100

Communication and Collaboration in Multi-Disciplinary Teams Video

<p>My lecture in EN124- Introduction to Engineering Design</p>

opencc-by-4.0Jul 2024View details →
zenodo28/100

Leadership -- not followership -- determines performance in ant teams

<p>Dataset for the paper, &#39;<em>Leadership -- not followership -- determines performance&nbsp;in ant teams</em>&#39; by Richardson,&nbsp;Coti,&nbsp;Stroeymeyt &amp; Keller, Communications Biology, 2021, in press.</p> <p><strong>Description of &#39;Tandem_running_emigrations_1-5.txt&#39; :</strong></p> <p>A dataset recording the occurrence of tandem runs, occurring within the context of colony emigration by the ant <em>Temnothorax nylanderi</em>.</p> <p>The identity of the leading and following&nbsp;ant are given by the &#39;leader&#39; and &#39;follower&#39; columns.&nbsp;</p> <p>The start and end time of each tandem run are indicated by the time columns.</p> <p>The location of the nest from which the tandem departs, and at which it arrives (if successful) are given by the columns, &#39;Leaves_From&#39; and &#39;Arrives_at&#39;.</p> <p>Whether the tandem pair succeeded in travelling all the way to the new nest without breaking up, is denoted in the &#39;Success_or_Fail_or_Switch&#39; column.</p> <p>Tandem runs in which the identity of the following ant changed during the run are also&nbsp;indicated in the &#39;Success_or_Fail_or_Switch&#39; column.</p> <p>The location of the break-up (if any) is contained in the X and Y columns.</p> <p>The data in this file is analysed in Figure 1 in the main paper.</p> <p><strong>Description of files, &#39;Per-tandem_task_switching ... csv&#39; :</strong></p> <p>These two files give the per-tandem switching probability data data analysed in Figure 2 in the main paper.</p> <p><strong>Description of files, &#39;Colony_mean,... csv&#39; :</strong></p> <p>These three files contain the colony means for each of the three performance metrics, as used in&nbsp;Figure&nbsp;3c-e in the main paper.</p> <p><strong>Description of files, &#39;Multi-model_inference, ... txt&#39; :</strong></p> <p>These three files each contain a table listing the mixed models in the&nbsp;95% confidence set. There is one file for each of the three performance metrics. The predictors in the model are specified in teh &#39;Model&#39; column, using the common formula notation common in S+ and R. The &#39;weight&#39;, &#39;cumulative weight&#39; and &#39;Evidence ratio&#39; are used to produce the barplots shown in Figure 4 in the main paper.</p> <p><strong>Description of files, &#39;Removal_list,remove_......txt&#39; :</strong></p> <p>Contains a list of individuals that were removed from the colony between the fourth and fifth emigrations. See the descriptions in the paper for further details.</p>

opencc-by-4.0May 2019View details →
zenodo28/100

Team running performance while scoring and conceding goals in the UEFA Champions League: Analysis of five-minute intervals.

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opencc-by-4.0Sep 2024View details →
zenodo28/100

Mouthguard use, hygiene, and maintenance practices among combat and team sports athletes: a comparative study

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opencc-by-4.0Oct 2024View details →
zenodo28/100

Exploring the Key Success Factors of Cyber Security Awareness in Distributed Teams

<p>This is the data set for the shared paper with the journal</p>

opencc-by-4.0Oct 2024View details →
zenodo28/100

First Dataset - Open Sciences 21/22 - Team 4

<p>First Dataset of the discipline Open Sciences 21/22. Uploaded by the team 4.</p>

opencc-by-4.0Oct 2021View details →
zenodo28/100

AI HERO Hackathon 2023 - Team E4 Model Parameters

<p>Weights of best model for the energy challenge</p>

opencc-by-4.0Jun 2023View details →
zenodo28/100

Replication package for the paper - "Balanced Knowledge Distribution among Software Development Teams - Observations from Open-Source and Closed-Source Software Development"

<p>Replication package for the&nbsp;paper - &quot;Balanced Knowledge Distribution among Software Development Teams - Observations from Open-Source and Closed-Source Software Development&quot;.</p>

opencc-by-4.0Mar 2022View details →
ClinicalTrials.gov28/100

Simulation Training in Undergraduate Nursing Education as a Means to Improve Awareness of Team Member Roles

ClinicalTrials.gov study NCT02289001. IPD Sharing: Not stated. Countries: 0. Publications: 4.

restrictedIPD-UNDECIDEDFeb 2026View 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

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Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.