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1,888 results for “Cooperation”
Timed abstractions for distributed cooperative manipulation
<p>The video presents a simulation experiment in the V-REP environment of the timed abstractions notion of cooperative manipulation. More specifically, given a discrete partition of the workspace, a timed plan is derived over this partition that satisfies a Metric Interval Temporal Logic (MITL) formula for an object. Two robotic agents transport the object cooperatively among the partitioned regions in a distributed manned, without communicating with each other, according to the derived timed plan.</p>
Dataset for "Articulatory, Acoustic, and Prosodic Accommodation in a Cooperative Maze Task"
<p>This dataset accompanies the article "Articulatory, Acoustic, and Prosodic Accommodation in a Cooperative Maze Task" in the journal <em>PLoS ONE</em>. A guide to the dataset, with information about how the data is organized, is also available within the repository.</p>
Data from: Coordination of care reduces conflict and predation risk in a cooperatively breeding bird
<p>When two or more individuals cooperate to provision a shared brood, each carer may be able to maximize their payoffs by coordinating provisioning in relation to what others are doing. This investment 'game' is not simply a matter of how much to invest, but also of the relative timing of investment. Recent studies propose that temporal coordination of care in the forms of alternation (i.e. turn-taking) and synchrony (i.e. provisioning together) function to mitigate conflict between carers and reduce brood predation risk, respectively. Such coordination is widespread in biparental and cooperatively breeding birds, yet the fitness consequences have rarely been empirically tested. Here, we use a long-term study of long-tailed tits <em>Aegithalos caudatus</em>, a facultative cooperatively breeding bird with active coordination of care, to assess the support for these hypothesized functions for coordination of provisioning visits. First, we found evidence that turn-taking mitigates conflict between carers because, in cooperative groups, provisioning rates and offspring recruitment increased with the level of active alternation exhibited by carers, and with the associated increase in provisioning rate parity between carers. In contrast, offspring recruitment did not increase with alternation in biparental nests, although it was positively correlated with parity of provisioning between carers, which is predicted to result from conflict mitigation. Secondly, synchronous nest visits were associated with a reduced probability of nest predation and thus increased brood survival, especially when provisioning rates were high. We attribute this effect to synchrony reducing carer activity near the nest. We conclude that temporal coordination of provisioning visits in the forms of alternation and synchrony both confer fitness benefits on carers, and despite being intrinsically linked, these different kinds of coordination appear to serve different functions.</p>
Dataset: Mr. Cooper Group Inc. (COOP) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: The Cooper Companies, Inc. (COO) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Processed data and summary tables for 'Context TFs establish cooperative environments and mediate enhancer communication'
<p>The linked datasets contain processed data files and summary tables for 'Context transcription factors establish cooperative environments and mediate enhancer communication'. Raw sequenceing data for STARR-seq expeeriments can be found at GEO (Accession ID: GSE229646). For a detailed description of files please refer to the README.</p>
BRAIN Journal-Developing Distance Learning Environments in the Context of Cross-Border Cooperation-Figure 5. Weekly session stats for 2016
<p>On following figures, statistic usage is given as Monthly and Weekly statistic for individual users and sessions. The number of the individual users and of the sessions is far better for the 2015 period, especially for the extent of time until the end of June. This is reasonable because it was during the project and the site is frequently put forward in promotional conferences, in press, in direct contacts with schools, and companies. After that period the site was not promoted additionally, and the only pointer to the site is a number of links found on our institutional websites as one of the services we are offering to the students. Considering all that, the figures for 2015 and even 2016, seems to be quite satisfactory. (Figure 1, Figure 4, and Figure 5).</p>
BRAIN Journal-Developing Distance Learning Environments in the Context of Cross-Border Cooperation-Figure 3. Monthly user/session stats for 2016
<p>It is also interesting to observe that in Figure 3, where the usage for 2016 is presented, that in the non-promotional period, the site is mostly used in January (before January exam term), in April, May, and June (before the June exam session and during colloquial exams) or in July and August (before the September exam session).</p>
BRAIN Journal-Developing Distance Learning Environments in the Context of Cross-Border Cooperation-Figure 2. Monthly user/session stats for 2015
<p>On following figures, statistic usage is given as Monthly and Weekly statistic for individual users and sessions. The number of the individual users and of the sessions is far better for the 2015 period, especially for the extent of time until the end of June. This is reasonable because it was during the project and the site is frequently put forward in promotional conferences, in press, in direct contacts with schools, and companies. After that period the site was not promoted additionally, and the only pointer to the site is a number of links found on our institutional websites as one of the services we are offering to the students. Considering all that, the figures for 2015 and even 2016, seems to be quite satisfactory. (Figure 1, Figure 4, and Figure 5). </p>
BRAIN Journal-Developing Distance Learning Environments in the Context of Cross-Border Cooperation-Figure 1. Components of EduWebCast System
<p>The aim of this partnership would be to implement an infrastructure for live and on-demand video streaming of learning material for the targeted groups and, to this purpose, to establish a long and fruitful cooperation between teachers, pupils, and students on both sides of the border. The joint creation and administration of the webcast project is the ground stone of the partnership between the two universities and will result in more common projects based on the materials obtained through the project, contests between pupils and students, possible periodic educational exchanges. </p>
Replication Package for Article "CoVeriTest: Cooperative Verifier-Based Testing" in Proc. FASE '19
<p>Replication package for the article<br> "Dirk Beyer and Marie-Christine Jakobs. CoVeriTest: Cooperative Verifier-Based Testing. In Proc. FASE, 2019. Springer."</p> <p>It contains all tools and data that are necessary to reproduce the results in our article.<br> The included README contains detailed instructions.</p> <p>Abstract:<br> Testing is a widely used method to assess software quality. Coverage criteria and coverage measurements are used to ensure that the constructed test suites adequately test the given software. Since manually developing such test suites is too expensive in practice, various automatic test-generation approaches were proposed. Since all approaches come with different strengths, combinations are necessary in order to achieve stronger tools. We study cooperative combinations of verification approaches for test generation, with high-level information exchange.<br> We present CoVeriTest, a hybrid approach for test-case generation, which iteratively applies different conditional model checkers. Thereby, it allows to adjust the level of cooperation and to assign individual time budgets per verifier. In our experiments, we combine explicit-state model checking and predicate abstraction (from CPAchecker) to systematically study different CoVeriTest configurations. Moreover, CoVeriTest achieves higher coverage than state-of-the-art test-generation tools for some programs.</p> <p> </p>
Cooperative aerial tele-manipulation with haptic feedback
<p>Data-set regarding the work "Cooperative aerial tele-manipulation with haptic feedback".</p> <p>Citation bibtex:</p> <p>@inproceedings{mohammadi2016cooperative,<br> title={Cooperative aerial tele-manipulation with haptic feedback},<br> author={Mohammadi, Mostafa and Franchi, Antonio and Barcelli, Davide and Prattichizzo, Domenico},<br> booktitle={2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},<br> pages={5092--5098},<br> year={2016},<br> organization={IEEE}<br> }<br> </p>
Brain Invaders Cooperative versus Competitive: Multi-User P300-based Brain-Computer Interface Dataset (bi2015b)
<p><strong>Summary:</strong></p> <p>This dataset contains electroencephalographic (EEG) recordings of 44 subjects playing in pair to the multi-user version of a visual P300 Brain-Computer Interface (BCI) named <em>Brain </em><em>Invaders</em>. The interface uses the oddball paradigm on a grid of 36 symbols (1 or 2 Target, 35 or 34 Non-Target) that are flashed pseudo-randomly to elicit the P300 response. EEG data were recorded using 32 active wet electrodes per subjects (total: 64 electrodes) during four randomised conditions (Cooperation 1-Target, Cooperation 2-Targets, Competition 1-Target, Competition 2-Targets). The experiment took place at GIPSA-lab, Grenoble, France, in 2015. A full description of the experiment is available at <a href="https://hal.archives-ouvertes.fr/hal-02173913">https://hal.archives-ouvertes.fr/hal-02173913</a>. Python code for manipulating the data is available at <a href="https://github.com/plcrodrigues/py.BI.EEG.2015b-GIPSA">https://github.com/plcrodrigues/py.BI.EEG.2015b-GIPSA</a>. The ID of this dataset is <em>bi2015b.</em></p> <p> </p> <p><strong>Full description of the experiment and dataset: </strong><a href="https://hal.archives-ouvertes.fr/hal-02173913">https://hal.archives-ouvertes.fr/hal-02173913</a></p> <p> </p> <p><strong><em>Investigators</em>:</strong> Eng. Louis Korczowski, B. Sc. Martine Cederhout</p> <p> </p> <p><strong><em>Technical</em></strong> <strong><em>Support</em></strong>: Eng. Anton Andreev, Eng. Grégoire Cattan, Eng. Pedro. L. C. Rodrigues, M. Sc. Violette Gautheret</p> <p> </p> <p><strong><em>Scientific Supervisor:</em></strong> Ph.D. Marco Congedo</p> <p> </p> <p><strong>ID of the dataset: </strong><em>bi2015b</em></p>
AI for SDG Acceleration - NSG MasterClass in Cooperation with MGG-PRODIGEES
<p>The video contains the lecture by Dr Reevana Balmahoon on artificial intelligence as a tool for accelerating the achievement of the Sustainable Development Goals (SDGs). Her presentation was part of the joint conference “International Capacity Development for the Civil Service - The Sustainable Digitalisation Agenda”, May 5-8, 2024, Cape Town, South Africa. The conference was jointly organised by the German Institute of Development and Sustainability (IDOS) and the National School of Government of South Africa (The NSG) in the framework of the ‘Managing Global Governance (MGG) network and its PRODIGEES project on digitalisation towards sustainable development. Dr Balmahoon is an AI and extended reality research lead of the South African Council for Scientific and Industrial Research (CSIR). The lecture and ensuing discussion, with responses from Dr Sven Grimm (IDOS) and Serusha Govender (Chatham House), were part of the NSG Master Class Series.</p>
Figure 11 in Early Oligocene (Rupelian) fishes (Chondrichthyes, Osteichthyes) from the Ashley Formation (Cooper Group) of South Carolina, USA
Figure 11. Teleost teeth from the Givhans Ferry Member, Ashley Formation (Rupelian), Dorchester County, South Carolina. A, B.?Sciaenops sp. tooth, SC2007.36.200.1 in profile (A) and basal (B) views. C, D.?Sciaenops sp. tooth, SC2007.36.200.2 in profile (C) and basal (D) views. E–G.?Pogonias sp. tooth, SC2007.36.196 in occlusal (E), profile (F), and basal (G) views. H–J.?Calamus sp. tooth, SC2007.36.198 in occlusal (H), profile (I), and basal (J) views. K–M. Archosargus sp. molariform tooth, SC2007.36.197 in occlusal (K), profile (L), and basal (M) views. N–Q. Archosargus sp. incisiform tooth, SC2007.36.200 in profile (N), lingual (O), labial (P), and basal (Q) views. R–U. Archosargus sp. incisiform tooth, SC2015.29.219 in profile (R), lingual (S), labial (T), and basal (U) views. V, W. Archosargus sp. pharyngeal tooth, SC2007.36.192 in profile (V) and anterior (W) views. X, Y. Archosargus sp. pharyngeal tooth, SC2007.36.193 in profile (X) and anterior (Y) views. Z, AA. Diplodus sp. tooth, SC2015.29.222 in lingual (Z) and posterior (AA) views. BB‒CC. Diplodus sp. tooth, SC2015.29.224 in lingual (BB) and posterior (CC) views. Scale bar=0.5 mm in V, W; 1 mm in A–U, X–CC.
Figure 8 in Early Oligocene (Rupelian) fishes (Chondrichthyes, Osteichthyes) from the Ashley Formation (Cooper Group) of South Carolina, USA
Figure 8. Batoid teeth from the Givhans Ferry Member, Ashley Formation (Rupelian), Dorchester County, South Carolina. A, B. "Rhinoptera" sp. tooth, SC2015.29.30 in occlusal (A) and lingual (B) views. C, D. "Mobula" sp. male tooth, SC2007.36.40 in apical (C) and occlusal (D) views. E, F. "Mobula" sp. male tooth, SC2007.36.42 in apical (E) and occlusal (F) views. G, H. "Mobula" sp. female tooth, SC2007.36.43 in occlusal (G) and labial (H) views. I–K. Plinthicus sp. tooth, SC2007.36.48 in occlusal (I), lingual (J), and profile (K) views. Scale bar=1 mm in C–H; 5 mm in A, B, I–K.
Figure 5 in Early Oligocene (Rupelian) fishes (Chondrichthyes, Osteichthyes) from the Ashley Formation (Cooper Group) of South Carolina, USA
Figure 5. Selachian teeth from the Givhans Ferry Member, Ashley Formation (Rupelian), Dorchester County, South Carolina. A. Hemipristis cf. H. serra tooth, SC2007.36.7 in labial view. B. Carcharhinus gibbesi upper tooth, SC2007.36.14 in labial view. C. Carcharhinus gibbesi lower tooth, SC2007.36.15 in labial view. D. Physogaleus cf. P. contortus tooth, SC2007.36.19 in labial view. E. Physogaleus sp. tooth, SC2007.36.21 in labial view. F. Galeocerdo aduncus tooth, SC2007.36.17 in labial view. G. Sphyrnidae Morphotype 1 tooth, SC2007.36.26 in labial view. H. Sphyrnidae Morphotype 2 tooth, SC2007.36.24 in labial view. Scale bar=3 mm in E; 5 mm in A, C, D, F, G; 10 mm in B.
Figure 3 in Early Oligocene (Rupelian) fishes (Chondrichthyes, Osteichthyes) from the Ashley Formation (Cooper Group) of South Carolina, USA
Figure 3. Selachian teeth from the Givhans Ferry Member, Ashley Formation (Rupelian), Dorchester County, South Carolina. A–C. Ginglymostomatidae indet. tooth, SC2007.36.208 in labial (A), profile (B), and lingual (C) views. D–F. Pachyscyllium sp. tooth, SC2007.36.5 in labial (D), distal (E), and lingual (F) views. Scale bars=1 mm.
Figure 2 in Early Oligocene (Rupelian) fishes (Chondrichthyes, Osteichthyes) from the Ashley Formation (Cooper Group) of South Carolina, USA
Figure 2. Generalized stratigraphic section showing lithostratigraphic units occurring in South Carolina. Note that the Gettysville Member of the Ashley Formation is restricted to a very small area, and the Runnymeade Marl Member disconformably overlies the Eocene-Oligocene Harleyville Formation (NP21– NP22) over much of its lateral extent. Irregular lines at upper/ lower boundaries of units represent unconformities, with weight of the line indicating greater or lesser amounts of missing time. Weems et al. (2016) indicated up to 3.0 Ma of missing time between the Ashley and Chandler Bridge formations. NP=nannoplankton zone.
Figure 7 in Early Oligocene (Rupelian) fishes (Chondrichthyes, Osteichthyes) from the Ashley Formation (Cooper Group) of South Carolina, USA
Figure 7. Batoid teeth from the Givhans Ferry Member, Ashley Formation (Rupelian), Dorchester County, South Carolina. A, B. Raja mccollumi male tooth, SC2007.36.132 in distal (A) and labial (B) views. C, D. Raja mccollumi female tooth, SC2007.36.31 in mesial (C) and labial (D) views. E, F. Raja sp. male tooth, SC2007.36.33 in mesial (E) and labial (F) views. G, H. Raja mccollumi female tooth, SC2007.36.124 in mesial (G) and labial (H) views. I. Rhynchobatus sp. tooth, SC2007.36.39 in occlusal view. J–M. "Taeniurops" cavernosus low-crowned tooth, SC2015.29.42 in occlusal (J), profile (K), labial (L), and basal (M) views. N–Q. "Taeniurops" cavernosus male tooth, SC2015.29.2 in occlusal (N), profile (O), labial (P), and basal (Q) views. R, S. "Taeniurops" cavernosus low-crowned tooth, SC2007.36.53 in occlusal (R) and profile (S) views. T, U. "Taeniurops" cavernosus male tooth, SC207.36.51 in occlusal (T) and profile (U) views. V–Y. "Dasyatis" sp. low-crowned tooth, SC2015.29.45 in occlusal (V), profile(W), labial (X), and labio-oblique (Y) views. Z–CC. "Dasyatis" sp. low-crowned tooth, SC2007.36.49 in occlusal (Z), profile (AA), lingual (BB), and labial (CC) views. Scale bar=0.5 mm in C, D, G, H; 1 mm in E, F, I, T, U; 2 mm in A, B; 5 mm in J–S, V–CC.
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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.