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9,152 results for “Networking”
Validation Videos - Robotic System for Reproducible Mobile Networking Experimentation in Anechoic Chambers (Master Thesis)
<p><strong>Note on Robot's Referential:</strong></p> <p>The robot's referential can be inferred in the recording via the "Safety Position." The safety position is the same for both the Digital Model (Gazebo) and the Real Robot (Joint Position = [0.0, -1.57, 1.57, 0.0, 0.0, 0.0]).</p> <p>In the safety position, the robot is approximately aligned with the X-axis, with its end-effector on the positive side of the axis. The end-effector faces perpendicular to the Y-axis. The positive Z-axis points upwards towards the ceiling.</p> <p> </p>
NINFA_CS2_ Campo de Cartagena quality network
<p>Public data provided by Aqualia from groundwater samples. Microbiological and chemical composition of a monitoring samples of different wells at different depths in "CAMPO DE CARTAGENA" location. Data gathered from 2006 to 2019. </p>
Anatomy of an online misinformation network
<p>This dataset is provided to facilitate reproducibility of results presented in the following paper:</p> <p><strong>Chengcheng Shao, Pik-Mai Hui, Lei Wang, Xinwen Jiang, Alessandro Flammini, Filippo Menczer and Giovanni Luca Ciampaglia (2018): Anatomy of an online misinformation network. Preprint arXiv:1801.06122, arxiv.org/abs/1801.06122 </strong></p> <p>Please read carefully both the paper and the README file attached to understand what is contained in this dataset before proceeding. These data are provided for non-commercial purposes only. If you use this dataset for research, please be sure to cite the above preprint, or preferably the final published version that will be shown on the arXiv.</p>
Supplementary Material v1: Multivariate entropy characterizes the gene expression and protein -protein networks in four types of cancer
<p>Supplementary Material PDF</p> <p>Multivariate entropy characterizes the gene expression and protein -protein networks in four types of cancer</p>
Replication Package for "On the impact of security vulnerabilities in the npm package dependency network
<p>This is the replication package for paper "On the impact of security vulnerabilities in the npm package dependency network" accepted for publication in MSR 2018.</p>
Selected CO2 and Meteorological Data from BErkeley Atmospheric CO2 Observation Network
<p>Selected CO<sub>2</sub> and meteorological data from BErkeley Atmospheric CO<sub>2</sub> Observation Network (BEACO<sub>2</sub>N) for use in the characterization of the heterogeneity of greenhouse gas concentrations around the San Francisco Bay Area and the constraint of CO<sub>2 </sub>emissions from mobile sources.</p>
The benefit of combining a deep neural network architecture with ideal ratio mask estimation in computational speech segregation to improve speech intelligibility
<p>Contains all the data:</p> <p>Bentsen, T., T.May, A. A. Kresnner, and T. Dau. The benefit of combining<br> a deep neural network architecture with ideal ratio mask estimation<br> in computational speech segregation to improve speech intelligibility.<br> PLOS ONE., in review.</p> <p>There are two folders:</p> <ol> <li><strong>WRSs:</strong> the Word Recognition Scores (WRSs) from the listener study. The matrix has dimensions 9 conditions x 20 subjects. Data is ordered corresponding to the following condition order:<br> 'UP', 'GMM', 'GMM (3 subbands)', 'GMM (7 subbands)', 'GMM (11 subbands)', 'DNN (IBM)'; 'DNN (IBM, 40 ms)'; 'DNN (IRM)'; 'DNN (IRM, 40 ms)'</li> <li><strong>Masks:</strong> <ul> <li><strong>GMM-IBMs: </strong>IBMs and estimated IBMs for the models 'GMM', 'GMM (3 subbands)', 'GMM (7 subbands)', 'GMM (11 subbands)'</li> <li><strong>DNN-IBMs:</strong> IBMs and estimated IBMs for the models 'DNN (IBM)'; 'DNN (IBM, 40 ms)'</li> <li><strong>DNN-IRMs</strong>: IRMs and estimated IRMs for the models 'DNN (IRM)'; 'DNN (IRM, 40 ms)'</li> </ul> </li> </ol>
CancerEpiSys – Integrative analysis of epigenetic networks that determine the chronic lymphocytic leukemia disease state
<p>A public repository of data processed for Mallm, Iskar, Ishaque et. al. 2018 Linking aberrant chromatin features in chronic lymphocytic leukemia to deregulated transcription factor networks</p> <p><strong>Website:</strong> http://www.cancerepisys.org/cancerepisys/index.html</p> <p><strong>Github:</strong> https://github.com/CancerEpiSys/Mallm-et-al-processing-scripts</p> <p><strong>Research mission</strong></p> <p><em>CancerEpiSys</em> is a BMBF funded research project with the <a href="http://www.bmbf.de/foerderungen/15063.php">CancerSys program</a> that dissects the epigenetic networks associated with chronic lymphocytic leukemia (CLL) to develop novel diagnostic and therapeutic approaches for the disease. It has been initiated based on the emerging view that signals encoded in the DNA sequence, epigenetic modifications (e.g. DNA methylation, post-translational histone modifications), non-coding RNAs and nucleosome positioning are not independently regulated properties. Rather, these chromatin features are governed by an interconnected network of molecular processes that determine the cellular gene expression program. Any errors that occur in the interplay of these factors can lead to aberrant gene regulation associated with cancer. To rationalize the mode of action of novel ‘epigenetic’ drugs in cancer therapy that change properties of this network, we will dissect experimentally and mathematically the interdependence of these processes, focusing on CLL.</p> <p>The main objectives of <em>CancerEpiSys</em> are: (i) deciphering the relation of DNA sequence, epigenetic modifications, nucleosome positioning and aberrant gene expression in CLL, (ii) the identification of epigenetic network morphologies that describe the response to the epigenetic drugs panobinostat and 3-deazaneplanocin (DZNep) that inhibit histone deacetylases and methyltransferases, (iii) the characterization of epigenetic markers and chromatin features of CLL patient subgroups, and (iv) the integration of results into an analysis scheme for the epigenetic aberrations most relevant for prognostication, prediction of treatment relapse and stratification of patients with respect to therapeutic options. Moreover, our results will inform novel therapeutic approaches that target gene-expression programs at the epigenetic level to sensitize cancer cells towards apoptosis and anti-growth signals.</p>
Flent: The FLExible Network Tester
<p>This is the experimental dataset from the paper "<a href="https://urn.kb.se/resolve?urn=urn%3Anbn%3Ase%3Akau%3Adiva-64766">Flent: The FLExible Network Tester</a>" published at the ValueTools 2017 conference.</p> <p>Also published at: <a href="https://www.cs.kau.se/tohojo/flent/">https://www.cs.kau.se/tohojo/flent/</a></p>
Open Access in the Global South: Perspectives from the Open and Collaborative Science in Development Network
<p>As with science in general, the discussion around open access has generally been driven by the institutions and perspectives of western or global North countries. However, approaches to open access are far more diverse and there are alternative approaches that have not gained visibility, especially in historically marginalized communities. This presentation will present some key lessons of the OCSDNet http://ocsdnet.org. The OCSDNet is a research network that engaged in participatory research and consultation with scientists, development practitioners, community members and activists from 26 countries in Latin America, Africa, the Middle East and Asia to understand the values at the core of open science in development. What we learned is that there is not one right way to do open science, and “openness” requires constant negotiation and reflection, and the process will always differ by context due to historical and socio-political factors. The set of seven values and principles at the core of the OCSDNet manifesto will be discussed for a more inclusive open science in development. More important, we will discuss the implications of these values in relation to the aspirations and features of COAR’s Next Generation Repository.</p>
Results from network experiments conducted on ULiège testbed with the Network Performance Framework (NPF) tool
<p>This dataset results from network experiments on a router configuration with replayed traffic. The network trace comes from a border router of our campus network. The router is used in both directions, i.e. both for reception and transmission of packets (to and from our campus network). Each experiment was done 3 times (for a total of 11466 experiments).</p> <p> </p>
Audio Generated by Neural Networks
<p>Audio files generated by neural networks</p>
The global structure of marine cleaning mutualistic networks
<p># Global-Cleaning-Networks</p> <p>The data sets available here are parts of the following article:</p> <p>Quimbayo JP, Cantor M, Dias MS, Grutter AS, Gingins S, Becker JHA, Floeter SR. (2018) The global structure of marine cleaning mutualism networks. Global Ecology and Biogeography. DOI: 10.1111/geb.12780.</p> <p><br> Description</p> <p>We combined field and literature data to test if recurrent patterns in mutualistic networks—nestedness,<br> modularity—describe the distributions of marine cleaning interactions. Nested network structures suggest <br> some cleaner species interact with many clients while the others clean fewer, predictable subsets of these clients; <br> modular network structures suggest cleaners and clients interact with defined, densely-connected subsets of species. </p> <p>All datasets are binary matrices indicating cleaning interaction between cleaner species (columns) <br> and client species (rows) in 28 marine habitats across of 11 marine biogeographical provinces defined for reef fish fauna.<br> These were the Caribbean, the Southwestern, Central, North and Eastern Atlantic, the Western Indian,<br> the Central Indo-Pacific and the Southwestern, Central, Northeastern and Tropical Eastern Pacific.</p> <p>Each element of these matrices equal 1 when the cleaner species i interacts with the client species j, <br> and 0 otherwise. A cleaning event is defined as the observation of a cleaner removing ectoparasites, <br> diseased tissue, and/or mucus from the body surface, gills or buccal cavity of the clients.</p> <p>Data are provided in the form of comma separated values files (csv), one for each of the 28 localities.<br> Please refer to Table S1 in the electronic supplementary material of this article for further details</p> <p><br> If you use any dataset please cite the article above and the original reference for the data <br> set as described below.</p> <p>CARIBBEAN PROVINCE</p> <p>File: Barbados.cvs<br> Reference: Whiteman EA, Côté IM. 2002 <br> Cleaning activity of two Caribbean cleaning gobies: intra- and interspecific comparisons. <br> J. Fish Biol. 60, 1443–1458. (doi:10.1006/jfbi.2002.1947)</p> <p>File: Bonaire.cvs<br> Reference: Wicksten MK. 1998 <br> Behavior of cleaners and their client fishes at Bonaire Netherlands Antilles. <br> J. Nat. Hist. 32, 13–30. </p> <p>File: Curacao.cvs<br> Reference: Titus, B.M., Vondriska, C. & Daly, M. 2017 & This study<br> Comparative behavioural observations demonstrate the “cleaner” shrimp <em>Periclimenes </em><em>yucatanicus</em> engages in true <br> symbiotic cleaning interactions. <br> Royal Society Open Science, 4, 170078.</p> <p>File: Tobago.cvs<br> Reference: Dunkley, K., Cable J. & Perkins S.E. 2018 & This study <br> The selective cleaning behavior of juvenile blue-headed wrasse (<em>Thalassoma bifasciatum</em>) in the Caribbean. <br> Behavioural Processes. 147: 5–12.</p> <p>File: StCroix.cvs<br> Reference: Johnson WS, Ruben P. 1988 <br> Cleaning behavior of <em>Bodiunus </em><em>rufus</em><em>, Thalassomu </em><em>bifasciatum</em><em>, Gobiosoma </em><em>evelynae</em><em>, and Periclimenes </em><em>pedersoni</em> along a depth gradient at Salt River Submarine Canyon, St . Croix. Environ. Biol. Fishes 23, 225–232.</p> <p>SOUTHWESTERN ATLANTIC</p> <p>File: Abrolhos.cvs<br> Reference: Sazima C. 2002 <br> Atividade de limpeza de duas espécies sintópicas de peixes limpadores e <br> diversidade de seus clientes em Abrolhos, Bahia. </p> <p>File: Noronha.cvs<br> Reference: Francini-Filho RB, Sazima I. 2007 & This study<br> A comparative study of cleaning activity of two reef fishes at Fernando de Noronha Archipelago, Tropical West Atlantic. <br> Environ. Biol. Fishes 83, 213–220. (doi:10.1007/s10641-007-9322-6)</p> <p>File: Rocas.cvs<br> Reference: Quimbayo JP, Nunes LT, Ozekoski R, Floeter SR, Morais RA, Fontoura L, Bonaldo RM, Ferreira CEL, Sazima I. 2017<br> Cleaning interactions at the only atoll in the South Atlantic. <br> Environ. Biol. Fishes 100, 865–875. (doi:10.1007/s10641-017-0612-3)</p> <p>File: SantaCatarina.cvs<br> Reference:Quimbayo, J.P., Schlickmann, O.C., Floeter, S.R. & Sazima I 2018. <br> Cleaning interactions at the southern limit of tropical reef fishes in the Western Atlantic. <br> Environmental Biology of Fishes. doi: 10.1007/s10641-018-0768-5.</p> <p>File: StPaulsRocks.cvs<br> Reference: This study; Quimbayo JP, Cantor M, Dias MS, Grutter AS, Gingins S, Becker JHA, Floeter SR.<br> The global structure of marine cleaning mutualism</p> <p>File: Trindade.cvs<br> Reference: This study; Quimbayo JP, Cantor M, Dias MS, Grutter AS, Gingins S, Becker JHA, Floeter SR.<br> The global structure of marine cleaning mutualism</p> <p>CENTRAL ATLANTIC</p> <p>File: Ascension.cvs<br> Reference: Morais RA, Brown J, Ferreira CEL, Floeter SR, Quimbayo JP, Rocha LA, Sazima I. 2017 <br> Mob rulers and part-time cleaners: two reef fish associations at the isolated Ascension Island. <br> J. Mar. Biol. Assoc. United Kingdom 97, 799–811. (doi:10.1017/S0025315416001041).</p> <p>NORTH ATLANTIC</p> <p>File: Banyuls.cvs <br> Reference: Zander CD, Sötje I. 2002 <br> Seasonal and geographical differences in cleaner fish activity in the Mediterranean Sea. <br> Helgol. Mar. Reser 55, 232–241. (doi:10.1007/s101520100084)</p> <p>File: Azores.cvs<br> Reference: Narvaez P, Furtado M, Neto A, Moniz I, Azevedo J, Soares M. 2015 <br> Temperate facultative cleaner wrasses selectively remove ectoparasites from their client-fish in the Azores. <br> Mar. Ecol. Prog. Ser. 540, 217–226. (doi:10.3354/meps11522)</p> <p>EASTERN ATLANTIC</p> <p>File: Canarias.cvs<br> Reference: Van Tassell JL, Brito A, Bortone SA. 1994 <br> Cleaning Behavior among marine fishes and invertebrates in the Canary Islands. <br> Cybium 18, 117–127. </p> <p>File: CapeVerde.cvs<br> Reference: Quimbayo JP, Floeter SR, Noguchi R, Rangel CA, Gasparini JL, Sampaio CLS, Ferreira CEL, Rocha LA. 2012<br> Cleaning mutualism in Santa Luzia (Cape Verde Archipelago) and São Tomé Islands, Tropical Eastern Atlantic. Mar. <br> Biodivers. Rec. 5, e118. (doi:10.1017/S175526721200108X)</p> <p>File: Principe.cvs<br> Reference: This study; Quimbayo JP, Cantor M, Dias MS, Grutter AS, Gingins S, Becker JHA, Floeter SR.<br> The global structure of marine cleaning mutualism</p> <p><br> File: SaoTome.cvs<br> Reference: Quimbayo JP, Floeter SR, Noguchi R, Rangel CA, Gasparini JL, Sampaio CLS, Ferreira CEL, Rocha LA. 2012<br> Cleaning mutualism in Santa Luzia (Cape Verde Archipelago) and São Tomé Islands, Tropical Eastern Atlantic. <br> Mar. Biodivers. Rec. 5, e118. (doi:10.1017/S175526721200108X)</p> <p>WESTERN INDIAN<br> File: RedSea.cvs<br> Reference: Barbu, L., Guinand, C., Bergmüller, R., Alvarez, N. & Bshary, R. 2011 & This study<br> Cleaning wrasse species vary with respect to dependency on the mutualism and behavioural adaptations in interactions. <br> Animal Behaviour, 82, 1067–1074.</p> <p>CENTRAL INDO-PACIFIC</p> <p>File: KimbeBay.cvs<br> Reference 1: Becker, J.H.A. 2006 <br> Interactions between cleaner shrimp and their client fishes on coral reefs. <br> Ph.D. thesis, The University of Queensland, St Lucia, Queensland, Australia, 154 pp. </p> <p>Reference 2: Grutter A.S. & Feeney W.E. 2016 <br> Equivalent cleaning in a juvenile facultative and obligate cleaning wrasse: an insight into the evolution of cleaning in labrids? <br> Coral Reefs. 35: 991–997. doi:10.1007/s00338-016-1460-x</p> <p>File: LizardIsland.cvs<br> Reference 1: Becker, J.H.A. & Grutter, A.S. 2004 <br> Cleaner shrimp do clean. <br> Coral Reefs, 23, 515–520.</p> <p>Reference 2: Grutter, A.S. & Poulin, R. 1998 <br> Intraspecific and interspecific relationships between host size and the abundance of parasitic larval gnathiid isopods<br> on coral reef fishes. <br> Marine Ecology Progress Series, 164, 263–271.</p> <p>SOUTHWESTERN PACIFIC</p> <p>File: AlthorpeIsland.cvs<br> Reference: Shepherd, S.A., Teale, J. & Muirhead, D. 2005<br> Cleaning symbiosis among inshore fishes at Althorpe Island, South Australia and elsewhere. <br> Transactions of the Royal Society of South Australia, 129, 193–201.</p> <p>File: NewZealand.cvs<br> Reference: Ayling, A. M. & Grace, R. V. 1971<br> Cleaning symbiosis among New Zealand fishes. <br> New Zealand Journal of Marine and Freshwater Research, 5, 205–218.</p> <p>NORTHEASTERN PACIFIC</p> <p>File: LaJolla.cvs<br> Reference: Hobson, E.S. 1971<br> Cleaning symbiosis among California inshore fishes. <br> Fishery Bulletin, 69, 491–523.</p> <p>TROPICAL EASTERN PACIFIC</p> <p>File: Galápagos.cvs<br> Reference: This study; Quimbayo JP, Cantor M, Dias MS, Grutter AS, Gingins S, Becker JHA, Floeter SR.<br> The global structure of marine cleaning mutualism</p> <p>File: Gorgona.cvs<br> Reference 1: Rodríguez-Moreno M. 2005<br> Interacciones y patrones diarios de actividad de limpieza en peces de un arrecife coralino de la Isla Gorgona. <br> Departamento de Biologia, BSc thesis, Universidad del Valle, Cali-Colombia.</p> <p>Reference 2: Quimbayo, J.P., & Zapata, F.A. 2018 <br> Cleaning interactions by gobies on a Tropical Eastern Pacific coral reef. <br> Journal of Fish Biology. doi:10.1111/jfb.13573.</p> <p>File: Malpelo.cvs<br> Quimbayo, J.P., Dias, M.S., Schlickmann, O.C. & Mendes, T.C. 2017 <br> Fish cleaning interactions on a remote island from the Tropical Eastern Pacific.<br> Marine Biodiversity, 47, 603–608.</p> <p><br> All R codes for reproducing analyses are available from the authors on request. </p> <p>Any additional queries should be directed to the corresponding author <br> Juan P. Quimbayo (quimbayo.j.p@gmail.com)</p> <p>The release of this data does not exempt those who reuse the data from <br> following community norms for scholarly communication, in particular from citation<br> of this paper and the original data authors as detailed above.</p>
On the evolution of technical lag in the npm package dependency network
<p>This is the replication package for paper "On the evolution of technical lag in the npm package dependency network" accepted for publication in ICSME 2018.</p>
Medical Concept Normalization in Social Media Posts with Recurrent Neural Networks
<p>Text mining of scientific libraries and social media has already proven itself as a reliable tool for<br> drug repurposing and hypothesis generation. The task of mapping a disease mention to a concept<br> in a controlled vocabulary, typically to the standard thesaurus in the Unified Medical Language<br> System (UMLS), is known as medical concept normalization. This task is challenging due to the<br> differences in medical terminology between health care professionals and social media texts coming<br> from the lay public. To bridge this gap, we use sequence learning with recurrent neural networks<br> and semantic representation of one- or multi-word expressions: we develop end-to-end architectures<br> directly tailored to the task, including bidirectional Long Short-Term Memory and Gated Recurrent<br> Units with an attention mechanism and additional semantic similarity features based on UMLS.<br> Our evaluation over a standard benchmark shows that recurrent neural networks improve results<br> over an effective baseline for classification based on convolutional neural networks. A qualitative<br> examination of mentions discovered in a dataset of user reviews collected from popular online health<br> information platforms as well as quantitative evaluation both show improvements in the semantic<br> representation of health-related expressions in social media.</p>
Excitation wave propagation on London street network. Oregonator model.
<p>Supplementary material to paper </p> <p>Andrew Adamatzky, Neil Phillips, Roshan Weerasekera, Michail-Antisthenis Tsompanas, and Georgios Ch. Sirakoulis</p> <p>Street map analysis with excitable chemical medium. Phys. Rev. E . Accepted 19 June 2018</p> <p>https://journals.aps.org/pre/accepted/7c072R1eD7e1c71d762165a4977a6cb036ce6e12e</p> <p> </p> <p>Files:</p> <p> </p> <p>London_Eps_0_02_Fi_0_065_long --> $\phi=0.065$</p> <p>London_Eps_0_02_Fi_0_075_long --> $\phi=0.075$</p> <p>Time lapsed snapshots of a single wave-fragment recorded every 150\textsuperscript{th} step of numerical integration.</p> <p>lapse_eps_0.02_fi0.064.jpg lapse_eps_0.02_fi0.063.jpg lapse_eps_0.02_fi0.062.jpg lapse_eps_0.02_fi0.061.jpg lapse_eps_0.02_fi0.06.jpg lapse_eps_0.02_fi0.059.jpg lapse_eps_0.02_fi0.058.jpg lapse_eps_0.02_fi0.056.jpg lapse_eps_0.02_fi0.055.jpg lapse_eps_0.02_fi0.066.jpg lapse_eps_0.02_fi0.054.jpg lapse_eps_0.02_fi0.052.jpg lapse_eps_0.02_fi0.05.jpg lapse_eps_0.02_fi0.067.jpg lapse_eps_0.02_fi0.068.jpg lapse_eps_0.02_fi0.069.jpg lapse_eps_0.02_fi0.07.jpg lapse_eps_0.02_fi0.071.jpg lapse_eps_0.02_fi0.065.jpg lapse_eps_0.02_fi0.074.jpg lapse eps_0.02_fi0.076.jpg lapse_eps_0.02_fi0.073.jpg lapse eps_0.02_fi0.077.jpg lapse_eps_0.02_fi0.075.jpg lapse_eps_0.02_fi0.072.jpg</p> <p>Coverage frequency is visualised in the images below (see details in the paper)</p> <p>coverageFrequency eps_002_fi0076.jpg coverageFrequency eps_002_fi0077.jpg coverageFrequency eps_002_fi0078.jpg coverageFrequency eps_002_fi0079.jpg coverageFrequency eps_002_fi0080.jpg coverageFrequency eps_002_fi0081.jpg coverageFrequency eps_002_fi0082.jpg coverageFrequency eps_002_fi0083.jpg coverageFrequency eps_002_fi0084.jpg coverageFrequency eps_002_fi0085.jpg coverageFrequency_eps_0.02_fi0.07.jpg coverageFrequency_eps_0.02_fi0.052.jpg coverageFrequency_eps_0.02_fi0.054.jpg coverageFrequency_eps_0.02_fi0.055.jpg coverageFrequency_eps_0.02_fi0.056.jpg coverageFrequency_eps_0.02_fi0.058.jpg coverageFrequency_eps_0.02_fi0.059.jpg coverageFrequency_eps_0.02_fi0.061.jpg coverageFrequency_eps_0.02_fi0.062.jpg coverageFrequency_eps_0.02_fi0.063.jpg coverageFrequency_eps_0.02_fi0.064.jpg coverageFrequency_eps_0.02_fi0.065.jpg coverageFrequency_eps_0.02_fi0.066.jpg coverageFrequency_eps_0.02_fi0.067.jpg coverageFrequency_eps_0.02_fi0.068.jpg coverageFrequency_eps_0.02_fi0.069.jpg coverageFrequency_eps_0.02_fi0.071.jpg coverageFrequency_eps_0.02_fi0.072.jpg coverageFrequency_eps_0.02_fi0.073.jpg coverageFrequency_eps_0.02_fi0.074.jpg coverageFrequency_eps_0.02_fi0.075.jpg coverageFrequency_eps_002_fi0050.jpg coverageFrequency_eps_002_fi0060.jpg</p> <p>Dynamics of integral excitation</p> <p>activity eps_0.02_fi0.050.txt activity eps_0.02_fi0.052.txt activity eps_0.02_fi0.054.txt activity eps_0.02_fi0.055.txt activity eps_0.02_fi0.056.txt activity eps_0.02_fi0.057.txt activity eps_0.02_fi0.058.txt activity eps_0.02_fi0.059.txt activity eps_0.02_fi0.060.txt activity eps_0.02_fi0.061.txt activity eps_0.02_fi0.062.txt activity eps_0.02_fi0.063.txt activity eps_0.02_fi0.064.txt activity eps_0.02_fi0.065.txt activity eps_0.02_fi0.066.txt activity eps_0.02_fi0.067.txt activity eps_0.02_fi0.068.txt activity eps_0.02_fi0.069.txt activity eps_0.02_fi0.070.txt activity eps_0.02_fi0.071.txt activity eps_0.02_fi0.072.txt activity eps_0.02_fi0.073.txt activity eps_0.02_fi0.074.txt activity eps_0.02_fi0.075.txt activity eps_0.02_fi0.076.txt activity eps_0.02_fi0.077.txt activity eps_0.02_fi0.078.txt activity eps_0.02_fi0.079.txt activity eps_0.02_fi0.080.txt activity eps_0.02_fi0.081.txt activity eps_0.02_fi0.082.txt activity eps_0.02_fi0.083.txt activity eps_0.02_fi0.084.txt activity eps_0.02_fi0.085.txt</p> <p>Abstract </p> <p>Belousov-Zhabotinsky (BZ) thin layer solution is a fruitful substrate for designing unconventional computing devices. A range of logical circuits, wet electronic devices, and neuromorphic prototypes have been constructed. Information processing in BZ computing devices is based on interaction of oxidation (excitation) wave fronts. Dynamics of the wave fronts propagation is programmed by geometrical constraining and interaction of colliding wave fronts is tuned by illumination. We apply the principles of BZ computing to explore a geometry of street networks. We use two-variable Oregonator equations, the most widely accepted and verified in laboratory experiments model of BZ, to study propagation of excitation wave fronts for a range of excitability parameters, gradual transition from excitable to sub-excitable to non-excitable. We demonstrate a pruning strategy adopted by the medium with decreasing excitability when wider and ballistically appropriate streets are selected. We explain mechanics of streets selection and pruning. The results of the paper will be used in future studies of studying dynamics of cities and characterising geometry of street networks.</p> <p>Earlier draft (missing some new findings presented in PRE paper) is on arXiv: </p> <p>https://arxiv.org/abs/1803.01632</p> <p> </p> <p> </p>
LFA experiments on Geant network, virtuall wall 1, rlite
<p>This contains perf flows and rtt reports.</p> <p>See ARCFIRE D4.4 for data analysis.</p>
OTU table: Ecosystems and Networks Integrated with Genes and Molecular Assemblies (ENIGMA)
<p>This dataset contains the OTU table and associated metadata from the ENIGMA study which was used in "A Practical Guide to Methods Controlling False Discoveries in Computational Biology" (Korthauer, K. and Kimes, P., et al. 2018; associated github: https://github.com/pkimes/benchmark-fdr/).</p> <p>The original raw data is available on MG-RAST (project mgp8190): https://www.mg-rast.org/mgmain.html?mgpage=project&project=mgp8190</p> <p>These data were processed as described in Korthauer & Kimes et al, 2018. The OTU table was provided by Renmao Tian and generated with the following pipeline: <a href="http://zhoulab5.rccc.ou.edu/pipelines/ASAP_web/pipeline_asap.php">http://zhoulab5.rccc.ou.edu/pipelines/ASAP_web/pipeline_asap.php</a>. </p> <p>More information about the ENIGMA project can be found at http://enigma.lbl.gov/</p>
RenatoArbex/TransitNetworkDesign: Transit Network Design Instances first release
<p>This is the first organization.</p>
Results of "Collaborative Spatial Reuse in Wireless Networks via Selfish Multi-Armed Bandits"
<p>This dataset contains the results obtained for the article "Collaborative Spatial Reuse in Wireless Networks via Selfish Multi-Armed Bandits", authored by Francesc Wilhelmi, Cristina Cano, Gergely Neu, Boris Bellalta, Anders Jonsson and Sergio Barrachina. The article has been sent to Elsevier Ad-hoc Networks.</p> <p>The content of this dataset has been obtained by means of the code allocated in the following GitHub repository: <a href="https://github.com/fwilhelmi/collaborative_sr_in_wns_via_selfish_mabs">https://github.com/fwilhelmi/collaborative_sr_in_wns_via_selfish_mabs</a></p> <p>Contact information: francisco.wilhelmi@upf.edu</p>
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.