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1,888 results for “Cooperation”
Large scale and information effects on cooperation in public good games
<pre>This dataset accompanies the paper "Large scale and information effects on cooperation in public good games", https://doi.org/10.1038/s41598-019-50964-w It records participant decisions in a set of Public Goods Games (see details in the paper). Explanation of the data fields: #participant_id: identification number for each participant in each treatment #player_alive: (for each round) 1=participant is still playing; 0=participant has been banned for forgetting three decisions or did not show up the first day. #group_avg_contribution: Average contribution #player_contribution: participant individual contribution to the PGG #round_number: round number #gender #age #treatment: see the publication for details regarding the different treatments # IBSEN metadata # 2017A2ECOCOOPANSA01ONL0000ESPMAD </pre>
Aquarius stellar halo simulations (Pu et al. 2024, Cooper et al. 2010)
<p>Aquarius stellar halo simulations produced with the STINGS particle tagging technique and the Galform semi-analytic model, with additional satellite progenitor labels.</p> <p>Please cite Pu et al. (2024) and Cooper et al. (2010) for use of these data, and Cooper et al. (2017) for details of the STINGS method.</p> <p>For a data model description and further details see https://github.com/nthu-ga/aquarius-halos. </p>
Relación de vídeos consultados para investigación sobre narraciones digitales de Hay un oso en el cuarto oscuro de Helen Cooper (1993)
<p>Esta tabla muestra una relación de vídeos consultados para un trabajo sobre las narraciones digitales del álbum ilustrado Hay un oso en el cuarto oscuro, de Helen Cooper (1993).</p>
ARLCL: Anchor-free Ranging-Likelihood-based Cooperative Localization
<p>This *dataset (68440 files of approx. 30GB unzipped) includes all Bluetooth Low Energy (BLE) Received Signal Strength (RSS) samples used for the evaluation of the Anchor-free Ranging-Likelihood-based Cooperative Localization (ARLCL) method. Each DB file corresponds to an evaluated scenario of a unique combination of nodes/samples (i.e. reflecting different swarm deployments and measurement qualities). The maximal setting is 21 Raspberry Pis and 20 RSS measurement samples. Each DB file contains the true positions of the participating nodes, 100 resampling cases, and one exceptional case (#RSS_0#) where all samples have been used (this case has not been considered in the paper).<br> <br> The specific structure of the DB files is required by our open-sourced Cooperative Localization Optimizer (<a href="https://github.com/CDS-Bern/ARLCL-Optimizer"><em><strong>ARLCL-Optimizer</strong></em></a>), and also the <strong>Mass Spring</strong> and <strong>Maximum Likelihood - Particle Swarm Optimization</strong> implementations that we used in the paper. These are also provided openly in our repo (<a href="https://github.com/CDS-Bern/ARLCL-Optimizer">https://github.com/CDS-Bern/ARLCL-Optimizer</a>).<br> <br> We encourage future cooperative localization solutions to use our provided dataset/software for comparisons or results reproduction.</p> <p>*The files have been compressed using <a href="https://www.7-zip.org/">7-zip</a>.</p>
Ecosystem service-multifunctionality in the European transboundary cooperation area EUREGIO
<p>Ecosystem Service-multifunctionality (ES-multifunctionality) is defined as the capacity of ecosystems to supply multiple services within the same spatial unit. The present datasets contain the results of an ES-multifunctionality assessment across a case study region in the eastern European Alps, including the two Italian Autonomous provinces of Trentino and South Tyrol and the Austrian federal state of Tyrol (EUREGIO). ES-multifunctionality was calculated using two diversity indices originating from biodiversity studies: α- and β-diversity. α-multifunctionality is defined as the diversity of ES supplied in terms of ES richness and abundance and accounts for service evenness, favoring a balanced supply of ES. β-multifunctionality is defined as the unique ES contribution of spatial units (e.g., ecosystems, landscape) to ES-multifunctionality at bigger spatial scales (e.g., region). A landscape is considered unique when it supplies specific ES at a higher level compared to other sites in the region.</p> <p>By using 11 ES indicators (carbon sequestration, filtration of surface water, forest protection, lifecycle maintenance, gene pool protection, land use integrity and quality, fuelwood production, grassland production, outdoor recreation, symbolic species, foraging practices), we measured the diversity of ES supplied (i.e., α-multifunctionality) at the patch (100 m pixel resolution) and landscape scale (using the municipality boundaries as landscape units, Local Administrative Level 2). β-multifunctionality was calculated at the landscape scale as the average ES abundance-based dissimilarities between landscape units.</p> <p>The datasets include:</p> <ol> <li>a .tiff raster file containing the records of α-multifunctionality at the patch scale at the pixel resolution of 100 m across the study area.</li> <li>a .csv spreadsheet containing the records of α- and β-multifunctionality at the Local Administrative Level 2 across the study area.</li> </ol> <p> </p>
Data Repository Accompanying "Controllable single Cooper pair splitting in hybrid quantum dot systems"
<p>Code and datasets associated with the manuscript " Controllable single Cooper pair splitting in hybrid quantum dot systems". With the code and data included here, all necessary fits and analysis can be conducted to produce the figures given in the manuscript and its supplementary material. The only exception is that we include the results of the quantum dot stability diagram simulation, however this simulation involves no new physics and the procedure is described in detail in the manuscript's supplementary information.</p>
Emergence of cooperative bistability and robustness of gene regulatory networks
<p>Simulation and analysis source codes and obtained data set for "Emergence of cooperative bistability and robustness of gene regulatory network" (<a href="https://doi.org/10.1371/journal. pcbi.1007969">PLoS Comput Biol 16 (2020) e1007969</a> and <a href="https://arxiv.org/abs/1907.12030">arXiv:1907.12030</a>) by Nagata and Kikuchi. </p> <p>Source codes and figures are compiled in Jupyter notebook. Detailed discription of data sets is found in "readme.txt" file.</p> <p> </p>
Dataset for Freedom to Choose between Public Resources Promotes Cooperation
<p>This dataset contains Matlab codes and Matlab data for "Freedom to choose between Public Resources promotes Cooperation". For a description of the dataset see the text file, "Description", in the dataset.</p>
Allopatric divergence of cooperators confers cheating resistance and limits the effects of a defector mutation
<p>Studies of microbial social defectors that 'cheat' on cooperative genotypes generally focus on interactions with their cooperative parents, yet in nature defectors may meet diverse cooperators. Genotype-by-genotype interactions may constrain the ranges of cooperators upon which particular defectors can cheat, limiting the cheaters' spread and potentially the overall equilibrium frequency of cheaters. The bacterium Myxococcus xanthus undergoes cooperative multicellular development upon starvation, but some developmental defectors can cheat on cooperators, outcompeting them within mixed groups. We show that a defector disrupted at the signaling gene csgA has a narrow cheating range among diverse natural cooperators owing to antagonisms not specifically targeted at defectors. More strikingly, lab-evolved cooperators only slightly differentiated from the defector have allopatrically evolved beyond its cheating range by accumulating fewer than 20 mutations when development was not directly under selection. Cooperators might diversify not only with respect to which defectors cheat on them, but also in the potential for a particular mutation to reduce expression of cooperative trait or generate a cheating phenotype. We tested this by constructing a new csgA mutation in several highly diverged cooperators. The mutation generated very different sporulation phenotypes – from a complete defect to no defect – indicating that genetic background effects can limit the set of genomes for which a given mutation creates a defector and potentiates cheating. Our results suggest that natural populations feature geographic mosaics of cooperators diversified in susceptibility to cheating by any given defector and in the social phenotypes generated by any given mutation in a cooperation gene.</p>
Virtual VRU protection of Mobile Cooperative safety function in SAFE STRIP
<p>An example dataset containing log files of Use Case ES1.1 "Virtual Vulnerable Road User (VRU) protection of Mobile Cooperative safety function". The log files contain information about the messages exchanged during the specific use case trial, between the different entities of SAFE STRIP. These messages are logged on the MQTT broker and on the HMI device used. The dataset also contains a file created post processing with details about the sequence of events over time for this particular example. In this way, the timing sequence of messages is displayed together with a brief description of the actual event that triggered the message creation.</p>
Model, data, and analysis for Negative Niche Construction Favors the Evolution of Cooperation
<p>This repository contains the model, data, and analysis corresponding to <em>Negative Niche Construction Favors the Evolution of Cooperation</em> as submitted for review by Brian D. Connelly, Katherine J. Dickinson, Sarah P. Hammarlund, and Benjamin Kerr. Contents are released to the public domain under the Creative Commons CC0 License.</p>
Model, Data, and Analysis Scripts for The Evolution of Cooperation by the Hankshaw Effect
<p>Model, Data, and Analysis Scripts for The Evolution of Cooperation by the Hankshaw Effect as submitted</p>
Materials for Resource Abundance and the Critical Transition to Cooperation
<p>This repository contains data, configuration files, and analysis scripts related to <em>Resource Abundance and the Critical Transition to Cooperation</em> (doi:10.1111/jeb.13039). To ensure reproducibility, Avida version 2.12.4, which was used for this work, is also included. Protocols used for the microbial experiments are described in the paper.</p> <p>This archive should contain all of the materials related to the published version of the paper.</p>
Taxonomy for Connected Cooperative and Automated Mobility (CCAM)
<p>As part of the FAME project this taxonomy has been created with its main goal to establish a standardized and harmonized classification system for CCAM-related terms, enhancing the comparability, complementarity, and expansion of research, development, and testing in the world of CCAM-enabled solutions and services. Due to its strong links with the EU-CEM handbook multiple terms from the Common Evaluation Methodology (CEM) have been included. The taxonomy is publicly available via the knowledge base and can be accessed here; <a title="Taxonomy for Connected Cooperative and Automated Mobility (CCAM)" href="https://taxonomy.connectedautomateddriving.eu/">https://taxonomy.connectedautomateddriving.eu/</a></p> <p> </p>
Fig. 17. Erraticodon patu Cooper, 1981 in Early Ordovician Conodonts from Far Western New South Wales, Australia
Fig. 17. Erraticodon patu Cooper, 1981: A, M element, AMF120378, Y4–6, anterior view; B, M element, AMF120379, Y4–6, posterior view; C, Sc element, AMF120380, Y4–6, inner lateral view; D, Sc element, AMF120381, M/A11-6, outer lateral view; E, Sc element, AMF120382, Y4–6, outer lateral view; F, Sa element, AMF120383, M/A11-5, anterior view; G, Sa element, AMF120384, Y4–4, posterior view; H, Sd element, AMF120385, Y4–8, anterior view; I, Sd element, AMF120386, M/A11-3, posterior view; J, Sd element, AMF120387, Y4–7, posterior view; K, Sb element, AMF120388, Y4–7, inner lateral view; L, Sb element, AMF120389, Y4–7, outer lateral view; M, Sb element, AMF120377, Y4–6, posterobasal view; N,O, Sb element, AMF120390, M/A11-5, N, postero-inner lateral view, O, antero-inner lateral view. Scale bars 100 µm.
Fig. 16. Erraticodon patu Cooper, 1981 in Early Ordovician Conodonts from Far Western New South Wales, Australia
Fig. 16. Erraticodon patu Cooper, 1981: A,B, Pa element, AMF120370, M/A11-3, A, posterobasal view, B, posterior view; C, Pa element, AMF120371, Y4–6, posterior view; D, Pb element, AMF120372, M/A4, postero-upper view; E, Pb element, AMF120373, Y4–5, antero-outer lateral view; F, Pb element, AMF120374, Y4–7, upper, anterior view; G, Pb element, AMF120375, Y4–7, upper, posterior view; H, Pb element, AMF120376, M/A4, upper, posterior view; I, Pa element, AMF120296, Y4–6, anterior view; J,K, Pb element, AMF124209, M/A7, J, antero-upper view, K, postero-upper view. Scale bars 100 µm.
Fig. 4 in Comparative Biology Of Cave-Dwelling Spitting Spiders (Araneae: Scytodidae): Parental Care, Cooperative Prey-Capture, Cannibalism, Natal Dispersal And Reproductive Behaviour
Fig. 4. Scytodid egg-sac. (A) Typical egg-sac of Scytodes cavernarum, S. fusca and the Philippines Scytodes sp. 2; and (B) Scytodes magna egg-sac. Note the denser silk surrounding the eggs of S. magna.
Fig. 8 in Comparative Biology Of Cave-Dwelling Spitting Spiders (Araneae: Scytodidae): Parental Care, Cooperative Prey-Capture, Cannibalism, Natal Dispersal And Reproductive Behaviour
Fig. 8. Reproductive traits of five cave species of scytodids. (A) Mean (± S.E.) total number of spiderlings per female; (B) mean (± S.E.) egg hatching time (d); (C) mean (± S.E.) interval (d) between clutches; (D) mean (± S.E.) interval (d) between hatching and the next egg-sac production; (E) mean (± S.E.) number of clutches; and (F) mean (± S.E.) number of spiderlings per clutch. Different lower cases indicate significant differences.
Fig. 3 in Comparative Biology Of Cave-Dwelling Spitting Spiders (Araneae: Scytodidae): Parental Care, Cooperative Prey-Capture, Cannibalism, Natal Dispersal And Reproductive Behaviour
Fig. 3. Maternal care of egg-sacs in spitting spiders. (A) Scytodes fusca female carrying her egg-sac in her chelicerae. (B) Guangxi Scyloxes sp. 1 female on the surface of the outer cave walls, staying close to her egg-sac. The egg-sac is suspended by two to three threads. (C) Web constructed by S. magna female. Her egg-sac is suspended by a few threads at the centre of the web.
Fig. 2 in Comparative Biology Of Cave-Dwelling Spitting Spiders (Araneae: Scytodidae): Parental Care, Cooperative Prey-Capture, Cannibalism, Natal Dispersal And Reproductive Behaviour
Fig. 2. The 'cage within a cage' set-up for studying the natal dispersal patterns of scytodid spiders. Modified from Ruttan (1990).
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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.
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.