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1,888 results for “Cooperation”
Model, configuration, data, and analysis scripts for The Evolution of Cooperation by the Hankshaw Effect
<p>Computational model, configuration files, result data, and analysis scripts for The Evolution of Cooperation by the Hankshaw Effect as published in Evolution (doi: 10.1111/evo.12928)</p>
Asynchronous updates can promote the evolution of cooperation on multiplex networks
<p>Code is included to run the model described for varying enhancement factors, and the different versions of the social dilemmas (public goods game and prisoners dilemma) described in the publication. Code is also included to calculate the payoff probabilities described in the publication. The data used to plot the mean cooperation against the enhancement factors is also included for each of the models permutations. Which code files are for which permutation are described in the accompanying pdf.</p>
Non-cooperative 802.11 MAC layer fingerprinting and tracking of mobile devices
<p>This archive contains the datasets used for the experiments in the paper "Non-cooperative 802.11 MAC layer fingerprinting and tracking of mobile devices", namely:</p> <ul> <li><em>Glimps 2015 dataset (mac_info collection)</em>: A collection of 122,989 Probe Request frames captured by 8 monitoring stations at the Glimps music festival in Ghent, Belgium (10 - 12 December 2015). To minimize overhead, each monitoring station individually stored only one Probe Request per unique MAC. The dataset was used to show that the high entropy in Probe Requests can be used to deanonymize devices that use MAC address randomization. Only the source MAC and Information Elements (IEs) were captured for this purpose. </li> <li><em>Research center 2016 dataset (mac_research collection)</em>: A complete collection of all management and control frames (including Radiotap headers) observed at our research lab from 28 January to 8 Febuary 2016. This dataset was used to calculate the "stability" and "variability" of Probe Request IEs (see our paper for more details on these metrics).</li> <li><em>Transmission rate datasets (mac_research_0 - mac_research_4 collections)</em>: Observations of mobile devices when actively instigated for extra transmissions. These observations were used in the paper to calculate the effectiveness of the various stimulus frame techniques. This dataset should only be used to verify the results in the paper. The other datasets could be used for related experiments.</li> </ul> <p>All datasets were anonymized by applying the following rules:</p> <ul> <li>The 3 least significant bytes of each MAC address were uniquely and consistently mapped to a different value, with exception of "ff:ff:ff" and "00:00:00".</li> <li>The SSID IE has its SSID field replaced with the string "Hidden", with exception of the wildcard (empty) SSID.</li> <li>The Vendor Specific WPS IE was replaced with a hash of its payload given the amount of sensitive information (device serial / model number, UUID, etc.) contained within it, and the length of the IE was updated accordingly. Unfortunately, Wireshark stops parsing the remainder of Probes containing this anonymized IE, so it should be noted that further parsing beyond the WPS IE must be done manually (e.g. by using Scapy or by changing the Wireshark dissector).</li> </ul> <p>The datasets are provided as MongoDB collections with the following document format:</p> <ul> <li>_id: ObjectID of the document</li> <li>info_length: Length of the binary blob</li> <li>info: Binary blob of the Radiotap frame (mac_research) or only the Information Elements (mac_info)</li> <li>mac_addr: Transmitter of the frame</li> </ul> <p>To install the dataset, execute the command "mongorestore --gzip -d anonymized ./anonymized" after extracting the .tar.xz file.</p> <p>A .pcap format of the <em>mac_info </em>(wrapped in a dummy Radiotap frame) and <em>mac_research</em> datasets is additionally provided at crawdad.org.</p> <p>The <em>mac_info</em> dataset can be visually explored on https://wicability.net/datasets (Glimps 2015 dataset).</p>
Supplementary Data: The Benefits of Cooperation in a Highly Renewable European Electricity Network
<p>Supplementary Data</p> <p><em>The Benefits of Cooperation in a Highly Renewable European Electricity Network</em><br> <em>doi:10.1016/j.energy.2017.06.004</em><br> <em>arXiv:1704.05492</em></p> <p>The files in this record contain the model-specific code, input data, and output data considered in the Benefits of Cooperation paper.</p> <p>You are welcome to use the provided data under the given open-source licence, and if you do please cite the paper <em>doi:10.1016/j.energy.2017.06.004</em>.<br> Please note that the derivation of the data in data/renewables/ is not open, because it uses the REatlas software [7] which has a closed source server part. (There is an free software implementation of the REatlas at https://github.com/FRESNA/atlite but it wasn't ready in time to be used for this dataset.)</p> <p>The code that is required to generate the output data consists of</p> <ul> <li>the python code opt_ws_network.py that builds and runs the PyPSA [0] model</li> <li>a SLURM script parameter_batch.py to run the model with different parameters</li> <li>a YAML file options.yml with the default parameter settings</li> </ul> <p>The code heavily relies on the python package <em>vresutils</em> which is available at https://github.com/FRESNA/vresutils</p> <p>The record also contains the input data in the data/ directory. They are described in detail in the paper, but a short summary is provided here:</p> <ul> <li><strong>costs</strong>: cost and other input parameter assumptions, see <em>Table 1</em> in the paper.</li> <li><strong>graph</strong>: the network topology is given by a list of nodes (country names) and a list of edges connecting two nodes. Based on [1,2].</li> <li><strong>hydro</strong>: hydro generation data provided by the Restore2050 project [3] <ul> <li>inflow/: contains a csv files with daily inflow data for each country</li> <li>emil_hydro_capas.csv: country-scale power and energy capacity</li> <li>ror_ENTSOe_Restore2050.csv: the share of run-of-river of the total hydro generation, from ENTSO-E [4] or if unavailable from [3]</li> </ul> </li> <li><strong>load</strong>: hourly country-scale consumption for 2011 from ENTSO-E [5]</li> <li><strong>renewables</strong>: generation potentials for the renewable technologies onshore wind, offshore wind, and solar per country based on historic weather data [6]. The jupyter-notebook europe_renewables_potentials.ipynb describes the data generation and uses the REatlas software [7] which has open-source client but closed-source server software. The used cutout can therefore not be made available here, but is solely based on data from [8]. The processed data are in: <ul> <li>store_p_nom_max/: installation potential per technology per region</li> <li>store_o_max_pu_betas/: hourly maximum generation per unit of capacity per technology per region</li> </ul> </li> </ul> <p>The output data generated by the model is in sub-folders of the results/ directory following the naming scheme [costsource]-CO[CO2costs]-T[timerange]-[technologies]-LV[linevolume]_c[crossover]_base_[costsource]_solar1_7_[formulation]-[startdate]/, where</p> <ul> <li>costsource = diw2030</li> <li>CO2costs = 0</li> <li>timerange = 1_8761</li> <li>technologies = wWsgrpHb</li> <li>linevolume = [float], None (line volume constraint of float * 5e8 TWkm, or optimised line volume)</li> <li>crossover = 0 (deactivated the cross-over phase of the Gurobi optimiser)</li> <li>formulation = angles, [blank] (power flow formulations: 'angles', or 'cycles')</li> <li>startdate = time the optimisation was started</li> </ul> <p>Footnotes</p> <p>[0] https://pypsa.org/ , https://doi.org/10.5281/zenodo.582307</p> <p>[1] S Becker, Transmission grid extensions in renewable electricity systems, PhD thesis (2015)</p> <p>[2] ENTSO-E, Indicative values for Net Transfer Capacities (NTC) in Continental Europe. European Transmission System Operators, 2011, https://www.entsoe.eu/publications/market-reports/ntc-values/ntc-matrix/Pages/default.aspx, accessed Jul 2014.</p> <p>[3] A Kies, K Chattopadhyay, L von Bremen, E Lorenz, D Heinemann, Simulation of renewable feed-in for power system studies, RESTORE 2050 project report, https://doi.org/10.5281/zenodo.804244</p> <p>[4] European Transmission System Operators, Installed Capacity per Production Type in 2015, ENTSO-E (2016), https://transparency.entsoe.eu/generation/r2/installedGenerationCapacityAggregation/show</p> <p>[5] https://www.entsoe.eu/db-query/country-packages/production-consumption-exchange-package</p> <p>[6] D. Heide, M. Greiner, L. Von Bremen, C. Hoffmann, Reduced storage and balancing needs in a fully renewable European power system with excess wind and solar power generation, Renewable Energy 36 (9) (2011) 2515–2523. https://doi.org/10.1016/j.renene.2011.02.009</p> <p>[7] G. B. Andresen, A. A. Søndergaard, M. Greiner, Validation of Danish wind time series from a new global renewable energy atlas for energy system analysis, Energy 93, Part 1 (2015) 1074 – 1088. https://doi.org/10.1016/j.energy.2015.09.071</p> <p>[8] S Saha et al., 2014: The NCEP Climate Forecast System Version 2. J. Climate, 27, 2185–2208, https://doi.org/10.1175/JCLI-D-12-00823.1</p>
Supplementary data on learning about German farmers' willingness to cooperate from public goods games and expert predictions
<p>Supplemental files on learning about German farmers' willingness to cooperate from public goods games and expert predictions. </p>
Fig. 5 in Comparative Biology Of Cave-Dwelling Spitting Spiders (Araneae: Scytodidae): Parental Care, Cooperative Prey-Capture, Cannibalism, Natal Dispersal And Reproductive Behaviour
Fig. 5. Scytodes fusca female leaving her egg-sac aside to forage on the house fly.
Passive Non-Cooperative Intruder State Estimation and Optimal-Feedback Avoidance System for UAVs
<p>In recent years, numerous applications for unmanned aircraft systems (UAS) have emerged, such as manufacturing inspections and reconnaissance. Ensuring safety is crucial for integrating UAS into the National Airspace System (NAS); this integration is being conducted on the basis of a century of experience that has made manned aircraft operations incredibly safe.</p><p>A key challenge for unmanned flight is the inability to "detect-and-avoid" (DAA) obstacles. Various DAA systems have been proposed in recent years, each employing different sensor modalities. Cooperative systems enable air vehicles to exchange state information, while devices like the Automatic Dependent Surveillance-Broadcast (ADS-B) and Traffic Collision Avoidance System (TCAS) use satellite navigation sensors and transponders, respectively, to broadcast position data. Additionally, the Airborne Collision Avoidance System (ACAS) led to the creation of the ACAS-XU standard for unmanned aircraft.</p><p>The DAA capability for UAS must be extended to address non-cooperative intruders. This paper introduces an integrated vision-based passive collision alert system (PCAS) and guidance system that is designed to detect and optimally avoid collision with non-cooperative intruders. The system can adhere to recently-introduced regulations for safety zones and can be customized pre-flight. Hardware-in-the-loop (HITL) simulation demonstrates the feasibility for deployment on UAS in a plug-and-play fashion.</p>
Data repository for study "Stabilizing international wheat prices through international cooperation after the Russian invasion of Ukraine"
<p>This repository contains both the input and output data associated with the study. The data are crucial for running and understanding the results generated by the <a href="https://gitlab.pik-potsdam.de/twist/twist-global-model/-/tree/ukraine"><em>TWIST</em></a> model and the <a href="https://github.com/mjpuma/FSC-WorldModelers/tree/ukraine"><em>FSC</em></a> models.</p> <h2>Directory Structure and Data Description</h2> <h3>Input Data</h3> <h4>Directory: <code>fsc</code></h4> <p>Contains files necessary to run the <em>FSC</em> model:</p> <ul> <li><code>wheat_export_restriction_*.csv</code>: National export restrictions for various scenarios.</li> <li><code>wheat_total_production_decline_*.csv</code>: National production reductions for different scenarios.</li> </ul> <h4>Directory: <code>twist</code></h4> <p>Includes files required for the <em>TWIST</em> model simulations:</p> <ul> <li><code>psd_wheat_*_world_1961to2031.csv</code>: Historical and projected global wheat data for production, consumption and stocks based on <a href="https://apps.fas.usda.gov/psdonline/app/index.html#/app/downloads">USDA-PSD</a> data</li> <li><code>World_country_codes.csv</code>: World code reference.</li> <li><code>US_BLS_ConsumerPriceIndex_Annual_1960to2019.csv</code>: Annual Consumer Price Index data from the US BLS.</li> <li><code>monthlyNominalGrainPricesWB_WheatUSHRW_1960to2022.csv</code>: Monthly nominal observed wheat prices.</li> <li>Scenario-specific files (<code>world_export_restrictions_*.csv</code>, <code>world_import_strategy_*.csv</code>, <code>world_production_anomaly_*.csv</code>): Global export restrictions, import strategies, and production changes for respective scenarios.</li> </ul> <h3>Output Data</h3> <h4>Directory: <code>fsc</code></h4> <ul> <li><code>raw</code>: Contains the raw output data from the <em>FSC</em> model for all scenarios.</li> <li><code>processed</code>: Includes datasets of national impaired supply relative to baseline supply and baseline domestic reserves, with results summarized per scenario.</li> </ul> <h4>Directory: <code>twist</code></h4> <ul> <li>Contains the raw output data from the <em>TWIST</em> model.</li> </ul> <h2>Contact Information</h2> <p>For inquiries, please contact Dr. <a href="https://orcid.org/0000-0002-8698-1246">Kilian Kuhla</a> at kilian.kuhla@pik-potsdam.de</p>
Walter Cooper Grave Marker
Walter Cooper is buried in the same plot as Alice Maria Paxton Cooper (https://sketchfab.com/models/5a98051aae9740828a5fe967418a9b7a). The Sacramento County Archives list him as being 31 at the time of his death, but a record in the New England Historical and Genealogical Register of 1896 indicates that his tombstone said "32". Either way, since he died in 1870, that would put his birth year at roughly 1838-1839. It seems, based on accounts of his having built a saloon in Felton and leased a property in Felton to one Mr. McCoy, as though Mr. Cooper was involved in real estate. His business partner was J. M. Merrill. http://www.feltonfire.com/pictures/feltonhistory.html https://books.google.com/books?id=FA8ALY0ZtYYC&pg=PA440&lpg=PA440&dq=walter+cooper+santa+cruz+1870&source=bl&ots=buEsM3UM1u&sig=FZKU-7kKaAjcoU9dQYUMwkpoI3k&hl=en&sa=X&ei=aI1oVf6ICcGtogTat4KgDg&ved=0CCsQ6AEwAg#v=onepage&q=walter%20cooper%20santa%20cruz%201870&f=false http://files.usgwarchives.net/ca/sacramento/newspapers/sacramen19nw.txt Source: Objaverse 1.0 / Sketchfab
Data from: Flexible females: nutritional state influences biparental cooperation in a burying beetle
<p>In species that provide biparental care, there is sexual conflict between parents over how much each should contribute towards caring for their joint offspring. Theoretical models for the resolution of this conflict through behavioral negotiation between parents assume that parents cannot assess their partner's state directly but do so indirectly by monitoring their partner's contribution. Here, we test whether parents can assess their partner's state directly by investigating the effect of nutritional state on cooperation between parents in the burying beetle <em>Nicrophorus vespilloides</em>. We used a two-by-two factorial design, in which a well-fed or food-deprived female was paired with a well-fed or food-deprived male. We found that females adjusted their level of care in response to both their own nutritional state and that of their partner and that these decisions were independent of their partner's contribution. We found no evidence that males responded directly to nutritional state. Males instead responded indirectly based on the contribution of their partner. Our results suggest that parents are able to assess the state of their partner, in contrast to what has been assumed, and that these assessments play an important role in the mediation of sexual conflict between caring parents.</p>
Data from: Evidence for socially influenced and potentially actively coordinated cooperation by bumblebees
<p>Cooperation is common in animals, yet the specific mechanisms driving collaborative behaviour in different species remain unclear. We investigated the proximate mechanisms underlying the cooperative behaviour of bumblebees in two different tasks, where bees had to simultaneously push a block in an arena or a door at the end of a tunnel for access to reward. In both tasks, when their partner's entry into the arena/tunnel was delayed, bees took longer to first push the block/door, compared to control bees that learned to push alone. In the tunnel task, just before gaining access to reward, bees were more likely to face towards their partner than expected by chance or compared to controls. These results show that bumblebees' cooperative behaviour is not simply a by-product of individual efforts but is socially influenced. We discuss how bees' turning behaviours, e.g. turning around before first reaching the door when their partner was delayed and turning back towards the door in response to seeing their partner heading towards the door, suggest active coordination at its simplest level – i.e. bumblebees may have a basic understanding of their partner's role in cooperative tasks. Future studies are needed to help determine the complexity and limitations of this understanding.</p>
Great Power Dynamics and International Economic Cooperation: Experimental Evidence from Parallel Surveys in China and the United States
Open the record for dataset details and reuse information.
Stabilizing Unconditional Cooperation
<p>Contains data and code for generating figures in the manuscript and Supplementary Information of 'Stabilizing Unconditional Cooperation'.</p> <p>Please contact for any quesitons. </p>
Direct evidence for Cooper pairing without a spectral gap in a disordered superconductor above Tc
<p>Supporting data for Bastiaans, KM et al. “Direct evidence for Cooper pairing without a spectral gap in a disordered superconductor above Tc”.</p> <p> </p> <p>The following datafiles are used for the following figures.</p> <p> </p> <p>Fig. 1 A Illustration figure, no data used</p> <p> B Illustration figure, no data used</p> <p> C Illustration figure, no data used</p> <p> D Illustration figure, no data used</p> <p> </p> <p>Fig. 2 A TiN_ALD_2.3K_noise.txt, simulation_qeff.m</p> <p> B TiN_ALD_2.3K_qeff.txt, simulation_qeff.m</p> <p> </p> <p>Fig. 3 A TiN_ALD_2.3K_noise.txt, TiN_ALD_4.0K_noise.txt, TiN_ALD_6.3K_noise.txt, TiN_ALD_7.2K_noise.txt, simulation_qeff.m</p> <p> B TiN_ALD_2.3K_qeff.txt, TiN_sputter_2.3K_qeff.txt, simulation_qeff.m</p> <p> C TiN_ALD_4.0K_qeff.txt, TiN_sputter_4.0K_qeff.txt, simulation_qeff.m</p> <p> D TiN_ALD_6.3K_qeff.txt, TiN_sputter_6.3K_qeff.txt, simulation_qeff.m</p> <p> E TiN_ALD_7.2K_qeff.txt, TiN_sputter_7.2K_qeff.txt, simulation_qeff.m</p> <p> </p> <p>Fig. 4 A TiN_ALD_didv_spectra.txt</p> <p> B TiN_ALD_didv_spectra.txt, TiN_ALD_didv_gap_depth.txt</p> <p> C TiN_ALD_RT.txt</p> <p> D TiN_ALD_qeff_vs_T.txt</p> <p> </p> <p>Fig. S1 A Illustration figure, no data used</p> <p> B TiN_ALD_2.3K_topo_small.txt</p> <p> C TiN_ALD_2.3K_topo_large.txt</p> <p> </p> <p>Fig. S2 TiN_noise_time_traces.txt</p> <p> </p> <p>Fig. S3 TiN_ALD_RT.txt</p> <p> </p> <p>Fig. S4 A TiN_ALD_2.3K_gapmap.txt, TiN_ALD_2.3K_gapmap_inset.txt</p> <p> B TiN_ALD_2.3K_gapmap.txt</p> <p> C TiN_sputter_2.3K_gapmap.txt, TiN_sputter_2.3K_gapmap_inset.txt</p> <p> D TiN_sputter_2.3K_gapmap.txt</p> <p> </p> <p>Fig. S5 A simulation_didv1.txt, T_broadening_fills_gap.ipynb</p> <p> B simulation_didv2.txt, T_broadening_fills_gap.ipynb</p> <p> C TiN_ALD_didv_spectra.txt, T_broadening_fills_gap.ipynb</p> <p> </p> <p>Fig. S6 TiN_sputter_2.3K_noise.txt, TiN_sputter_4.0K_noise.txt, TiN_sputter_6.3K_noise.txt, TiN_sputter_7.2K_noise.txt, simulation_qeff.m</p> <p> </p> <p>Fig. S7 A TiN_sputter_didv_spectra.txt</p> <p> B TiN_sputter_didv_gap_depth.txt</p> <p> C TiN_sputter_RT.txt</p> <p> D TiN_sputter_qeff_vs_T.txt</p> <p> </p> <p>Fig. S8 A TiN_ALD_2.3K_noise.txt, simulation_qeff.m</p> <p> B TiN_ALD_2.3K_qeff.txt, simulation_qeff.m</p> <p> C simulation_S1.txt, simulation_qeff.m</p> <p> D simulation_S2.txt, simulation_qeff.m</p>
Data and files for: Decoupling cooperation and punishment in humans shows that punishment is not an altruistic trait
<p>Economic experiments have suggested that cooperative humans will altruistically match local levels of cooperation ('conditional cooperation') and pay to punish non-cooperators ('altruistic punishment'). Evolutionary models have suggested that if altruists punish non-altruists this could favour the evolution of costly helping behaviours (cooperation) among strangers. An often-key requirement is that helping behaviours and punishing behaviours form one single, conjoined trait ('strong reciprocity'). Previous economics experiments have provided support for the hypothesis that punishment and cooperation form one conjoined, altruistically motivated, trait. However, such a conjoined trait may be evolutionarily unstable, and previous experiments have confounded a fear of being punished with being surrounded by cooperators, two factors that could favour cooperation. Here, we experimentally decouple the fear of punishment from a cooperative environment and allow cooperation and punishment behaviour to freely separate (420 participants). We show, that if a minority of individuals are made immune to punishment, they (1) learn to stop cooperating on average despite being surrounded by high levels of cooperation, contradicting the idea of conditional cooperation; and (2) often continue to punish, 'hypocritically', showing that cooperation and punishment do not form one, altruistically motivated, linked trait.</p>
Survey data on joint cropland management among agri-food cooperatives in Mediterranean Spanish Regions
<p>This dataset presents data collected from joint cropland management practices survey in agri-food cooperatives of Mediterranean Spanish Regions. The objective was to examine to what extent cooperatives offer joint services, including joint management or integral exploitation of smallholdings, for the incorporation of new professionals. Data collection was conducted to five agri-food organizations: three agri-food cooperatives federations -Castilla-La Mancha, Comunitat Valenciana, and Murcia-, two second degree agri-food cooperatives -Anecoop and Unió Nuts-, all of them located in Mediterranean Spanish Regions. A total of 1.168 survey questionnaires were distributed between July 2020 and February 2021 across five organizations through the snowball sampling method. Data from 112 collected questionnaires were correctly answered, but 106 were selected for analysis. The dataset includes socio-economic data, productive information, and innovative characteristics from agri-food cooperatives surveyed, all in order to be able to examine the relationship between those factors and joint cropland management practices they carry on.</p>
Data from: Differences in sibling cooperation in presence and absence of parental care in a genus with interspecific variation in offspring dependence
<p>The widely spread evolutionary strategy of parental care is considered an important driver of social evolution. While offspring were long thought to primarily interact competitively, recent studies revealed the potential importance of sibling cooperation. Theories suggest that the degree of cooperation in offspring interactions depends on the degree of offspring dependence on parental care: offspring unable to forage on their own should compete more, whereas more independent juveniles may increase the degree of cooperation. In this study, we tested the occurrence of sibling cooperation in the absence of post-hatching care in several burying beetle species exhibiting varying degrees of offspring dependence. To this end, we measured larval growth rate and survival in the presence and absence of pre-hatching care using different brood sizes. We found that sibling cooperation cannot be exclusively explained by offspring dependence on parental care. While only species with more independent larvae cooperated when receiving pre-hatching care, larval cooperation occurred across species in the absence of care. The latter result suggests that sibling cooperation was already present in an early ancestor of the genus <em>Nicrophorus</em>. Overall, these findings give important insights into the transition from facultative to obligate family life.</p>
Obligate mutualistic cooperation limits evolvability
<p>Cooperative mutualisms are widespread and play fundamental roles in many ecosystems. Given that these interactions are often obligate, the Darwinian fitness of the participating individuals is not only determined by the information encoded in their own genomes, but also the traits and capabilities of their corresponding interaction partners. Thus, a major outstanding question is how obligate cooperative mutualisms affect the ability of organisms to adapt evolutionarily to changing environmental conditions. Here we address this issue using a mutualistic cooperation between two auxotrophic genotypes of Escherichia coli that reciprocally exchanged costly amino acids. Amino acid-supplemented monocultures and unsupplemented cocultures were exposed to stepwise increasing concentrations of different antibiotics. This selection experiment reveals that metabolically interdependent bacteria are generally less able to adapt to environmental stress than autonomously growing strains. Moreover, obligate cooperative mutualists frequently regain metabolic autonomy, resulting in a collapse of the mutualistic interaction. </p>
Obligate mutualistic cooperation limits evolvability
<p>Cooperative mutualisms are widespread and play fundamental roles in many ecosystems. Given that these interactions are often obligate, the Darwinian fitness of the participating individuals is not only determined by the information encoded in their own genomes, but also the traits and capabilities of their corresponding interaction partners. Thus, a major outstanding question is how obligate cooperative mutualisms affect the ability of organisms to adapt evolutionarily to changing environmental conditions. Here we address this issue using a mutualistic cooperation between two auxotrophic genotypes of Escherichia coli that reciprocally exchanged costly amino acids. Amino acid-supplemented monocultures and unsupplemented cocultures were exposed to stepwise increasing concentrations of different antibiotics. This selection experiment reveals that metabolically interdependent bacteria are generally less able to adapt to environmental stress than autonomously growing strains. Moreover, obligate cooperative mutualists frequently regain metabolic autonomy, resulting in a collapse of the mutualistic interaction. </p>
Data from: Coherent mechanical noise cancellation and cooperativity competition in optomechanical arrays
<p>Source data for figures.</p>
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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.