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281 results for “Capabilities”
Data from: Are cranial biomechanical simulation data linked to known diets in extant taxa? A method for applying diet-biomechanics linkage models to infer feeding capability of extinct species
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Data from: Cushion plant morphology controls biogenic capability and facilitation effects of Silene acaulis along an elevation gradient
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Survey: Motivation, capability and opportunity for food safety messages
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Data from: Predation, metabolic priming and early life-history rearing environment affect the swimming capabilities of growth hormone transgenic rainbow trout
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Data from: Free-ranging dogs are capable of comprehending complex human pointing cues
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DiSSCo Partner Capabilities Survey 2017
<p>Survey carried out among the DiSSCo consortium partners to have insight in the partner capabilities, in preparation for the ESFRI Hearing held early 2018. Contains raw plus corrected data.</p>
A study of Mobile Technology Capabilities and Challenges in Library Service Delivery
<p>Mobile Technology has provided faster access to and delivery of information and other related services; it is also challenging the libraries and information centers to change round, modify and upgrade their services approach by implementing the new technological changes. Nowadays all mobile devices are gradually becoming an integral part of all and sundry thereby redirecting connectivity and interactions globally with dynamic feature compare to the static state of the computer technology. From the study, Mobile Technology capabilities will greatly support all forms of information access, storage, transmission etc. and provide help to researchers and users of research content to the strengthening of their relationship and providing enhanced user oriented services to existing users. The challenges facing mobile technology were also identified with a view of recommending to developers needed areas in satisfying local users. The study discusses on the capabilities and challenges of mobile technology in general services delivery</p>
Research data supporting "Expanding and Optimizing 3D Bioprinting Capabilities Using Complementary Network Bioinks"
<p>Raw research data supporting:</p> <p>Ouyang L. et al., 2020, Science Advances, 6:eabc5529.</p>
Assessing SIRAH's Capability to Simulate Intrinsically Disordered Proteins and Peptides
<p>This dataset contains the structures, topologies, and trajectory files of coarse-grained molecular dynamics simulations of five Intrinsically Disordered Proteins (IDPs). We explored the dynamics of α-synuclein (randomly generated conformers), p31-43(PDB is: 6QAX), PaaA2 antitoxin (PDB id:3ZBE), Amyloid-beta 1-40 (PDB id: 2FLM), and Insulin C-peptide (PDB id: 1T0C) using the SIRAH force field running with the Gromacs 18.4 under the conditions reported in <a href="https://pubs.acs.org/doi/10.1021/acs.jctc.9b00006">Machado et al. JCTC 2019</a>, adding 150 mM NaCl according to <a href="https://pubs.acs.org/doi/10.1021/acs.jctc.9b00953">Machado & Pantano JCTC 2020</a>. Briefly, simulations were performed in triplicate for 5 μs at 300 K and 1 atm in the NPT ensemble. We used a time-step of 20 fs, a direct cutoff for non-bonded interactions of 1.2 nm, and Particle Mesh Ewald summation for long-range electrostatics. For α-synuclein and p31-43, initial conformations were obtained from models built on arbitrary conformations and heated up to 340 K. For PaaA2 antitoxin, Amyloid-beta 1-40, and Proinsulin C-peptide, three different NMR conformers were arbitrarily selected. </p> <p>The information is divided into five tar files containing each system's data (only protein coordinates are reported). Additionally, the Sirah Tools' tcl script with macros for selections and analyses is also included. Please visit http://www.sirahff.com for step-by-step tutorials on running and analyzing CG simulations with SIRAH. </p> <p>To take a quick look at the trajectories:</p> <p>1- Untar the tar file of interest </p> <p>2- Open the trajectory on VMD using the command line:</p> <p>vmd "your_protein".psf "your_protein".xtc -e sirah_vmdtk.tcl</p> <p><br> Note that using the tcl script you can use normal VMD drawing methods as vdw, licorice, etc., and coloring by restype, element, name, etc.</p> <p>This dataset contains simulations associated to a manuscript with the same title and by the same authors.</p> <p>For questions, kindly contact Florencia Klein (fklein@pasteur.edu.uy), Exequiel Barrera (ebarrera@pasteur.edu.uy), or Sergio Pantano (spantano@pasteur.edu.uy).</p>
Genomic data reveal similar genetic differentiation in aquifer species with different dispersal capabilities and life histories
<p>Little is known about the life histories, genetic structure, and population connectivity of shallow groundwater organisms. We used next-generation sequencing (RAD-seq) to analyze population genomic structure in two aquifer species: <i>Paraperla frontalis</i> (Banks, 1902), a stonefly with groundwater larvae and aerial (winged) adults, and <i>Stygobromus</i> sp., a groundwater-obligate amphipod. We found similar genetic differentiation in each species between floodplains separated by ~70 river km in the Flathead River basin of NW Montana, USA. Given that <i>Stygobromus</i> lacks the aboveground life stage of <i>P. frontalis</i>, our findings suggest that connectivity and magnitude of genetic structure cannot be definitively assumed from life history differences.</p>
Data from: Synthesis of gypsogenin derivatives with capabilities to arrest cell cycle and induce apoptosis in human cancer cells
Thirty-two gypsogenin derivatives were synthesized and screened for their cytotoxic activities. Their structures were established using IR, 1H NMR, 13C NMR, and LC-MS spectroscopic data. In MTT assays nearly all the compounds displayed good cytotoxicity in the low μM range for several human tumour cell lines (A549, LOVO, SKOV3 and HepG2). Low IC50 values were obtained especially for the carboxamides 7a–7j, for an oxime derivative 3 and a (2,4-dinitrophenyl)hydrazono derivative 4. In particular, the IC50 values of compounds 4 (IC50 = 2.97 ± 1.13 µΜ) and 7 g (IC50 = 3.59 ± 2.04 µΜ) against LOVO cells were found to be much lower than those of the other derivatives and parent compound. These compounds were submitted to an extensive biological testing and proved compounds 4 and 7 g to act mainly by an arrest of the tumour cells in the S phase of the cell cycle. In addition, compounds 4 and 7 g triggered the apoptotic pathway in cancer cells, showing high apoptosis ratios.
Data from: The evolution of between-species reproductive interference capability under different within-species mating regimes
Sexual selection sometimes favors male traits that benefit their bearers, but harm their mates. The harmful effects of male traits may also extend to females of other species via heterospecific mating interactions. This could affect the coexistence of closely related species during secondary contact. We examined the evolution of the interspecific interfering capability of a beetle (Callosobruchus chinensis) with a congener (C. maculatus) using C. chinensis males reared under conditions of monogamy and polygamy for 17 generations. After experimental evolution, C. chinensis males reared under polygamous conditions imposed greater impacts on offspring production by C. maculatus females than did C. chinensis males reared under monogamous conditions. However, the mechanism by which differential mating regimes altered the effect of C. chinensis males on C. maculatus females was unclear, because we did not find evidence for the expected genital evolution in C. chinensis, despite their body size divergence. Our findings suggest that traits that originally evolved through sexual selection in two allopatric species could influence the coexistence of these species or the likelihood of reinforcement during secondary contact.
Data from: An active-radio-frequency-identification system capable of identifying co-locations and social-structure: validation with a wild free-ranging animal
Behavioural events that are important for understanding sociobiology and movement ecology are often rare, transient and localised, but can occur at spatially distant sites e.g. territorial incursions and co-locating individuals. Existing animal tracking technologies, capable of detecting such events, are limited by one or more of: battery life; data resolution; location accuracy; data security; ability to co-locate individuals both spatially and temporally. Technology that at least partly resolves these limitations would be advantageous. European badgers (Meles meles L.), present a challenging test-bed, with extra-group paternity (apparent from genotyping) contradicting established views on rigid group territoriality with little social-group mixing. In a proof of concept study we assess the utility of a fully automated active-radio-frequency-identification (aRFID) system combining badger-borne aRFID-tags with static, wirelessly-networked, aRFID-detector base-stations to record badger co-locations at setts (burrows) and near notional border latrines. We summarise the time badgers spent co-locating within and between social-groups, applying network analysis to provide evidence of co-location based community structure, at both these scales. The aRFID system co-located animals within 31.5 m (adjustable) of base-stations. Efficient radio transmission between aRFIDs and base-stations enables a 20 g tag to last for 2–5 years (depending on transmission interval). Data security was high (data stored off tag), with remote access capability. Badgers spent most co-location time with members of their own social-groups at setts; remaining co-location time was divided evenly between intra- and inter-social-group co-locations near latrines and inter-social-group co-locations at setts. Network analysis showed that 20–100% of tracked badgers engaged in inter-social-group mixing per week, with evidence of trans-border super-groups, that is, badgers frequently transgressed notional territorial borders. aRFID occupies a distinct niche amongst established tracking technologies. We validated the utility of aRFID to identify co-locations, social-structure and inter-group mixing within a wild badger population, leading us to refute the conventional view that badgers (social-groups) are territorial and to question management strategies, for controlling bovine TB, based on this model. Ultimately aRFID proved a versatile system capable of identifying social-structure at the landscape scale, operating for years and suitable for use with a range of species.
Data from: Metapopulation dominance and genomic-island acquisition of Bradyrhizobium with superior catabolic capabilities
Root nodule forming rhizobia exhibit a bipartite lifestyle, replicating in soil and also within plant cells where they fix nitrogen for legume hosts. Host control models posit that legume hosts act as a predominant selective force on rhizobia, but few studies have examined rhizobial fitness in natural populations. Here, we genotyped and phenotyped Bradyrhizobium isolates across >800km of the native Acmispon strigosus host range. We sequenced chromosomal genes expressed under free-living conditions and accessory symbiosis loci expressed in planta and encoded on an integrated 'symbiosis island'. We uncovered a massive clonal expansion restricted to the Bradyrhizobium chromosome, with a single chromosomal haplotype dominating populations, ranging >700km, and acquiring 42 divergent symbiosis island haplotypes, none of which were spatially widespread. For focal genotypes we quantified utilization of 190 sole-carbon sources relevant to soil fitness. Chromosomal haplotypes that were both widespread and dominant exhibited superior growth on diverse carbon sources, whereas these patterns were not mirrored among symbiosis island haplotypes. Abundance, spatial range, and catabolic superiority of chromosomal, but not symbiosis genotypes suggests that fitness in the soil environment, rather than symbiosis with hosts, might be the key driver of Bradyrhizobium dominance.
Data from: Failed predator attacks have detrimental effects on antipredatory capabilities through developmental plasticity in Pelobates cultripes toads
1. How predation events experienced by preys can shape phenotypic traits through the ontogenetic development of the interacting species should be a key issue in Evolutionary and Conservation Biology. 2. Locomotor performance plays a fundamental role on the fitness of many animals, mainly because it enhances ability to fleeing from predators. Predators represent indeed a capital selective force on prey, mainly because they end prey life. However, predators may also damage prey by other means, such as injuries caused by failed attacks. This damage can severely affect locomotion, among several other aspects of prey fitness. In the case of anuran tadpoles, failed predator attacks often result in injured tails, which reduces swimming performance. However, little is known about lasting effects of those failed attacks on fleeing capabilities after metamorphosis. 3. In this work, we clipped 55% tail length of pre-tail-resorption stage anaesthetized larval Pelobates cultripes toads, and compared metamorph hindlimb length and jump distance with metamorphs resulting from anaesthetized and non-anaesthetized non-clipped controls. Previous findings showed that this treatment produced metamorphs with reduced body condition. 4. Results herein suggest that partial tail loss in tadpoles diminishes jumping performance of resultant metamorphs. This effect is likely a consequence of tail-clipped tadpoles developing shorter hindlimbs as metamorphs, which is parallel to their reduced body condition. 5. Therefore, predator attacks in the tail may be less potentially mortal than those in the head and body, but have costs in terms of an efficient antipredatory response that persist in post-metamorphic stage. This effect might compromise metamorph ability to survive subsequent predator attacks.
Dataset for the Improvement of the INRiM calibration capabilities for lightning impulse voltages from 200 kV to 600 kV
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Supported data for manuscript "Can LLM-Augmented autonomous agents cooperate?, An evaluation of their cooperative capabilities through Melting Pot"
<p>The repository data corresponds partially to the manuscript titled <strong>"Can LLM-Augmented Autonomous Agents Cooperate? An Evaluation of Their Cooperative Capabilities through Melting Pot,"</strong> submitted to <em>IEEE Transactions on Artificial Intelligence</em>. The dataset comprises experiments conducted with <strong>Large Language Model-Augmented Autonomous Agents (LAAs)</strong>, as implemented in the ["Cooperative Agents" repository](https://github.com/Cooperative-IA/CooperativeGPT/tree/main), using substrates from the Melting Pot framework.</p> <h3>Dataset Scope</h3> <p>This dataset is divided into two main experiment categories:</p> <ol> <li> <p><strong>Personality__experiments</strong>:</p> <ul> <li>These focus on a single scenario (<strong>Commons Harvest</strong>) to assess various agent personalities and their cooperative dynamics.</li> </ul> </li> <li> <p><strong>Comparison_baselines__experiments</strong>:</p> <ul> <li>These experiments include three distinct scenarios designed by Melting Pot: <ul> <li><strong>Commons Harvest Open</strong></li> <li><strong>Externally Mushrooms</strong></li> <li><strong>Coins</strong></li> </ul> </li> </ul> </li> </ol> <p>These scenarios evaluate different cooperative and competitive behaviors among agents and are used to compare <strong>decision-making architectures</strong> of LAAs against reinforcement learning (RL) baselines. Unlike the <strong>Personality__experiments</strong>, these comparisons do not involve bots but exclusively analyze RL and LAA architectures.</p> <h3>Scenarios and Metrics</h3> <p>The metrics and indicators extracted from the experiments depend on the scenario being evaluated:</p> <ol> <li> <p><strong>Commons Harvest Open</strong>:</p> <ul> <li>Focus: <strong>Resource consumption</strong> and <strong>environmental impact</strong>.</li> <li>Metrics include: <ul> <li>Number of apples consumed.</li> <li>Devastation of trees (i.e., depletion of resources).</li> </ul> </li> </ul> </li> <li> <p><strong>Externally Mushrooms</strong>:</p> <ul> <li>Focus: <strong>Self-interest vs. collective benefit</strong>.</li> <li>Agents consume mushrooms with different outcomes: <ul> <li>Mushrooms that benefit the individual.</li> <li>Mushrooms that benefit everyone.</li> <li>Mushrooms that benefit only others.</li> <li>Mushrooms that benefit the individual but penalize others.</li> </ul> </li> <li>Metrics evaluate trade-offs between individual gain and collective welfare.</li> </ul> </li> <li> <p><strong>Coins</strong>:</p> <ul> <li>Focus: <strong>Reciprocity and fairness</strong>.</li> <li>Agents collect coins with two options: <ul> <li>Collect their own color coin for a reward.</li> <li>Collect a different color coin, which grants a reward to the agent but penalizes the other.</li> </ul> </li> <li>Metrics include reciprocity rates and the balance of mutual benefits.</li> </ul> </li> </ol> <h3>Objectives of Comparison Experiments</h3> <p>The <strong>Comparison_baselines__experiments</strong> aim to:</p> <ol> <li>Assess how LAAs compare to RL baselines in cooperative and competitive tasks across diverse scenarios.</li> <li>Compare <strong>decision-making architectures</strong> within LAAs, including chain-of-thought and generative approaches.</li> </ol> <p>These experiments help evaluate the robustness of LAAs in scenarios with varying complexity and social dilemmas, providing insights into their potential applications in real-world cooperative systems.</p> <h3>Simulation Details (Applicable to All Experiments)</h3> <p>In each simulation:</p> <ol> <li> <p><strong>Participants</strong>:</p> <ul> <li>Experiments involve predefined numbers of LAAs or RL agents.</li> <li>No bots are included in <strong>Comparison_baselines__experiments</strong>.</li> </ul> </li> <li> <p><strong>Action Dynamics</strong>:</p> <ul> <li>Each agent performs high-level actions sequentially.</li> <li>Simulations conclude either after reaching a <strong>preset maximum number of rounds</strong> (typically 100) or prematurely if the scenario's resources are fully depleted.</li> </ul> </li> <li> <p><strong>Metrics and Indicators</strong>:</p> <ul> <li>Extracted metrics depend on the scenario and include measures of individual performance, collective outcomes, and agent reciprocity.</li> </ul> </li> </ol> <p>This repository enables reproducibility and serves as a benchmark for advancing research into cooperative and competitive behaviors in LLM-based agents.</p>
LIGO/Virgo/KAGRA Observing Capabilities: Simulated Detections and Localization for O4 and O5 (October 2022 edition)
<p>Simulated detections and localizations for LIGO, Virgo, and KAGRA</p>
Analysis of Third-year Medical Student Performance in Cardiac Auscultation With and Without Phonocardiography and/or a Phonocardiography Capable Stethoscope
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Figure 1 in Diversity and enzymatic capabilities of fungi associated with the digestive tract of larval stages of a shredder insect in Cerrado and Amazon Forest, Brazil
Figure 1. Maps with sampling sites of Triplectides (Trichoptera: Leptoceridae) in low-order streams in the Cerrado (Lajeado State Park and surroundings, state of Tocantins, Brazil) and low-order streams in the Amazon Forest (Tapajós National Forest, state of Pará, Brazil) biomes.
ScienceDex guides
Understand access before you commit
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.