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9,152 results for “Networking”

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zenodo40/100

Fig.1. Bipartite graph depicting a plant-animal mutualistic network involving 10 in The Role Of Macaca Spp. (Primates: Cercopithecidae) In Seed Dispersal Networks

Fig.1. Bipartite graph depicting a plant-animal mutualistic network involving 10 frugivores (left) and 170 of the plant species (right) they disperse at Khao Yai National Park, Thailand. The list of plant species is based on Kitamura et al. (2002), then the list of frugivores dispersing each species has been completed thanks to data from bin Kassim (1987), Kitamura et al. (2005), Datta & Rawat (2008), Brockelman (2009), McConkey & Brockelman (2011), Albert et al. (2013), Ngoprasert (2012), Khamcha (pers. comm.), Latinne (pers. comm.), Martmoon (pers. comm.).

opencc-by-4.0Feb 2013View details →
zenodo40/100

FIGURE 3. Haplotype network inferred from A in On the taxonomic identity of Pteronotus davyi incae Smith, 1972 (Chiroptera: Mormoopidae)

FIGURE 3. Haplotype network inferred from A, cyt-b and B, CO1 datasets, highlighting the clusters corresponding to Pteronotus davyi, P. fulvus, and P. gymnonotus. Each circle represents one distinct haplotype (H), whose size is proportional to its frequency in the sample (1 to 6 individuals).

opencc-by-4.0Mar 2021View details →
zenodo40/100

Santander bike network usage week 15 April 2019

<p>Dataset of Dock availability of Santander BSS used in the paper &quot;Genetic Hybrid Optimization of a Real Bike Sharing System&quot; MDPI September 2021.&nbsp;</p> <p>The data used in this paper are distributed under the Open Licence from Etalab and&nbsp;were collected using the connector provided by JCDecaux.(JCDecaux. JCDecaux Developer. Open Data. 2021.). This connector&rsquo;s API&nbsp;provides, for a certain city, an extensive set of attributes in real-time. We have selected&nbsp;and retrieved the number of stations, capacity and occupation every 5 min, in order to&nbsp;figure out the dynamic of users. Within this interval, we will transform the occupation into&nbsp;requests of bikes or docks by means of subtracting consecutive occupation values.</p>

opencc-by-4.0Sep 2021View details →
zenodo40/100

The impact of individual variation on abrupt collapses in mutualistic networks

<p>R Data and R scripts for the paper in Ecology Letters &quot;The impact of individual variation on abrupt collapses in mutualistic networks&quot;</p> <p>Contact:&nbsp;<a href="mailto:gbaruahecoevo@gmail.com">gbaruahecoevo@gmail.com</a></p>

opencc-by-4.0Sep 2021View details →
zenodo40/100

Series AC Arc Fault Detection Method Based on High-Frequency Coupling Sensor and Convolution Neural Network

<p>The data provided can be used for the development of methods for the detection of arcing faults in a domestic low-voltage electrical networks (230V - 50 Hz). The data files are current and voltage signatures experimentally measured.</p> <p>Test for to produce an arcing fault : Open contact electrodes and Carbonized path wires</p> <p>The ReadMe file describes :</p> <p>- the test set up and the&nbsp; the procedure followed to make the measurements</p> <p>- the list of household appliances and their main characteristics.</p> <p>- the name of the data files</p> <p>- the type of arcing faults</p>

opencc-by-4.0Aug 2020View details →
zenodo40/100

Arc fault detection and appliances classification in AC home electrical networks using Recurrence Quantification Plots and Image Analysis

<p>The data provided can be used for the development of methods for the detection of arcing faults in a domestic low-voltage electrical networks (230V - 50 Hz). The data files are current and voltage signatures experimentally measured.</p> <p>The ReadMe file describes :</p> <p>- the test set up and the&nbsp; the procedure followed to make the measurements</p> <p>- the list of household appliances and their main characteristics.</p> <p>- the name of the data files</p> <p>- the type of arcing faults</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2020View details →
zenodo40/100

Synthetic dataset for mobile wireless networks with SUMO -- aggregated traces

<p>Aggregated dataset from a published wireless dataset generator base in SUMO mobility model.&nbsp;</p> <p>&nbsp;</p> <p>This work was supported by national funds through Funda&ccedil;&atilde;o para a Ci&ecirc;ncia e a Tecnologia (FCT) with reference UIDB/50021/2020 and SFRH/BD/132053/2017.</p>

opencc-by-4.0Nov 2021View details →
dryad40/100

Data for: Network of autoscopic hallucinations elicited by intracerebral stimulations of periventricular nodular heterotopia: an SEEG study

<p>Periventricular nodular heterotopias (PVNH) are areas of neurons abnormally located in the white matter that might be involved in  physiological cortical functions. Autoscopic hallucinations are changes in self-consciousness determined by a mismatch in integration of multiple sensory inputs. Our goal is to highlight the brain network involved in generation of autoscopic hallucination elicited by electrical stimulation of a PVNH in a drug resistant epilepsy patient.</p> <p> Our patient was explored using stereo-electroencephalography with electrodes covering the right posterior temporal PVNH and the adjacent cortex. Direct electrical high frequency stimulation of the PVNH elicited autoscopic hallucinations mainly involving the face and upper trunk. We then used multiple modalities to determine brain connectivity: single pulse electrical stimulation of the PVNH and stimulation-evoked potentials were used to highlight resting state effective connectivity. High-frequency stimulation using alternating polarity pulses enabled us to identify the network involved, time-locked to the clinical effect and to map symptom-related effective connectivity. Functional connectivity using a non-linear regression method was used to determine dependencies between different cortical regions following the stimulation. Finally, structural connectivity was highlighted using deterministic fiber tracking.</p> <p>Multi-modal connectivity analysis identified a network involving the PVNH, occipital and temporal neocortex, fusiform gyrus and parietal cortex.</p>

opencc-zeroSep 2021View details →
zenodo40/100

Dataset for Agile 5G Network Measurements: Operator Benefits of Employing Aerial Mobility

<p>Dataset of paper &quot;Agile 5G Network Measurements: Operator Benefits of Employing Aerial Mobility&quot;.</p> <p>The measurement data contains two different scenarios: Scenario 1 and Scenario 2, according to the paper. These two datasets include two different kinds of files: those related to measurements taken with a phone and those taken with a drone (UAV).</p>

opencc-by-4.0Sep 2021View details →
zenodo40/100

DATABASE: Electric Vehicle, Battery and Smart Grid patent citation networks and main paths.

<p>This dataset comprises the original patent citation networks that were created to calculate&nbsp;the main citation paths for the technologies of Electric Vehicle, Battery and Smart Grid.</p> <p>For each technology (1- Electric Vehicle, 2- Battery, 3- Smart Grid), four outputs are provided:</p> <p>a- Patent extraction: USPTO patents filtered by IPC or CPC and found in the Triadic Patent Families database (OECD, 2021)&nbsp;&nbsp;</p> <p>b- Full nodes and links reconstructed by following patent citations through a snowball method&nbsp;(until no further patents found)</p> <p>c- Filtered nodes and links according to keywords</p> <p>d- Main path nodes and links (with citation weights).</p> <p>For a detailed explanation of the methodology please refer to the submitted paper:</p> <p><strong>Transitions as a coevolutionary process: the urban emergence of electric vehicle inventions</strong></p>

opencc-by-4.0Sep 2021View details →
dryad40/100

Immune challenges increase network centrality in a queenless ant

<p>Social animals display a wide range of behavioural defences against infectious diseases, some of which inherently increase social contacts with infectious individuals (e.g., mutual grooming), while others decrease them (e.g., social exclusion). These defences often rely on the detection of infectious individuals, but this can be achieved in several ways that are difficult to differentiate. Here, we combine non-pathogenic immune challenges with automated tracking in colonies of the clonal raider ant to ask whether ants can detect the immune status of their social partners and to quantify their behavioural responses to this perceived infection risk. We first show that a key behavioural response elicited by live pathogens (allogrooming) can be qualitatively recapitulated by immune challenges alone. Automated scoring of interactions between all colony members reveals that this behavioural response increases the network centrality of immune-challenged individuals through a general increase in physical contacts. These results show that ants can detect the immune status of their nestmates and respond with a general "caring" strategy, rather than avoidance, towards social partners that are perceived to be infectious. Finally, we find no evidence that changes in cuticular hydrocarbon profiles drive these behavioural effects.</p>

opencc-zeroOct 2021View details →
zenodo40/100

Mirror of data from NOAA U.S. Climate Reference Network for Research Computing in Earth Science

<p>This is a mirror of data from the NOAA U.S. Climate Reference Network (https://www.ncei.noaa.gov/products/land-based-station/us-climate-reference-network).</p> <p>It was created because outbound FTP access is not allowed from some cloud-based JupyterHub setups.</p>

opencc-by-4.0Oct 2021View details →
zenodo40/100

Seismic Network and Motifs Vrancea

<p>A seismic network for earthquakes with magnitude larger than 4 in Vrancea, Romania seismic region. Here are also presented the network&#39;s 3 nodes motifs (triangles)</p>

opencc-by-4.0Oct 2021View details →
zenodo40/100

Chromatin Network Retards Nucleoli Coalescence

<p>This repository&nbsp;contains the simulated trajectories&nbsp;in our investigation of the role of the chromatin network in retarding nucleoli coalescence.&nbsp;</p>

opencc-by-4.0Oct 2021View details →
zenodo40/100

A Global Social Network Values Dataset

<p>Online social networks enable individuals to present a version of themselves to their immediate social circle and beyond. Those presentations express cultural factors such as an individual&#39;s gender, location, political, philosophical, and religious values. However, obtaining such data is often challenging on the aggregate level as it typically involves negotiations with private entities and ownership restrictions. This study presents a dataset of 244,629,979 user accounts from the platform Vkontakte, an online social network collected in June of 2020. Vkontakte is a social media platform similar to Facebook that allows individuals to connect with other users, communicate with them through public and private messages, and create public personas. This dataset can perform cross-national and cross-cultural analyses of online values from a large portion of the world.</p>

opencc-by-4.0Oct 2021View details →
zenodo40/100

Automatic extraction of opinions of users of social networks on reproductive behavior issues

<p>The database contains an upload of text comments in Russian from the social network Vkontakte in .tsv&nbsp;format (UTF-8 encoding). Comments are collected from communities, which discuss pregnancy, childhood, motherhood, paternity, etc.&nbsp;Comments are collected from communities, which discuss pregnancy, childhood, motherhood, paternity, etc.&nbsp;<br> The database contains train, test and valid sets for machine learning processing.&nbsp;For the analysis of opinions in the field of reproductive behavior,&nbsp;nine groups of the social network Vkontakte were selected, in the names or descriptions of which the words &quot;childfree&quot; and their variations were clearly present, and 341 groups, in the names or descriptions of which the keywords &quot;mother&quot;, &quot; mothers &quot;,&quot; children &quot;, etc.&nbsp;and the number of subscribers of which was more than 10,000 people. This distribution of groups depended on the different activity of groups -&nbsp;supporters of a childless lifestyle produced significantly more posts and comments on our topics. Using data from different groups of the social&nbsp;network Vkontakte avoids data homogeneity - one of the weak points of sentiment analysis. Thus, the presented database is suitable for the analysis&nbsp;of specific demographic groups, which we conditionally called &ldquo;anti-natalists&rdquo; and &ldquo;pronatalists&rdquo;. Note that in the group of pronatalists there&nbsp;are largely representatives of a small child model of reproductive behavior.&nbsp;The sample contains data about&nbsp;stance&nbsp;on 6 topics: &quot;maternity capital / benefits&quot;, &quot;abortion&quot;, &quot;large families&quot;, &quot;childlessness&quot;, &quot;parental leave&quot;, &quot;individualism&quot;.The topics are selected by a set of keywords such as abortion, childfree, rest, no child and so on.</p> <p>Sentences from the collected sample were randomly selected for annotator marking. Each sentence was marked with three annotators. Since each sentence could discuss several issues, the annotator marked each sentence on all seven topics. The proposals were marked up mainly by professional demographers and linguists.</p>

opencc-by-4.0Oct 2021View details →
zenodo40/100

Figure 4. Statistical haplotype networks for COI, 16S in Old lake versus young taxa: a comparative phylogeographic perspective on the evolution of Caspian Sea gastropods (Neritidae: Theodoxus )

Figure 4. Statistical haplotype networks for COI, 16S and ATPα sequence data for Pontocaspian and southern Iranian Theodoxus groups. The total number of sequences in each network is demarcated by 'n'. The circle sizes represent the relative frequency of sequences per haplotype. The number of site changes separating haplotypes is indicated by blank dots. Colours correspond to the sampling locations, as indicated in the key and in figure 2. Haplotype groupings are boxed and labelled according to the phylogroups determined through the dated phylogeny (I–VI; figure 3).

opencc-by-4.0Oct 2019View details →
zenodo40/100

Application of hyperbolic geometry of multiplex networks under layer link-based attacks

<p>As real multilayer networks, we consider four networks. The multilayer networks are converted to multiplex networks by assuming that all layers have the same number of nodes (the maximum number of nodes of all layers). Explanation of these networks is as follow:</p> <ol> <li><em>CS-Aarhus_multiplex [1]</em> : The first network used in this study is a 5-layer multiplex network, named CS-Aarhus_multiplex, which has 61 nodes and 620 edges. The multiplex social network consists of five kinds of online and offline relationships (Facebook, Leisure, Work, Co-authorship, Lunch) between the employees of the Computer Science department at Aarhus.</li> <li><em>Data_malaria_PLOSCompBiology_2013 [2]</em>: The second network is a 9-layer multiplex network, which consists of 307 nodes and 35306 edges. Networks of recombinant antigen genes from the human malaria parasite P. falciparum. Each of the 9 networks shares the same set of vertices but has different edges, corresponding to the 9 highly variable regions (HVRs) in the DBLa domain of the var protein. Nodes are var genes, and two genes are connected if they share a substring whose length is statistically significant.</li> <li>VICKERS CHAN 7th-GRADERS [3] : The third network is a 3-layer multiplex network, called VICKERS CHAN 7th-GRADERS, which includes 29 nodes and 740 edges. The data were collected by Vickers from 29 seventh-grade students in a school in Victoria, Australia. Students were asked to nominate their classmates on several relations including the three layers.</li> </ol> <p>&nbsp; &nbsp; &nbsp;&nbsp; 4. FAO MULTIPLEX TRADE NETWORK [4]: The fourth network is a 364-layer multiplex network, which contains 214 nodes and 318346 edges. We consider different types of trade relationships among countries, obtained from FAO (Food and Agriculture Organization of the United Nations)</p>

opencc-by-4.0Oct 2021View details →
zenodo40/100

Agronomic performance of cultivar mixtures of winter wheat varieties, obtained from mixture field trials at 5 locations in Switzerland from 2019 to 2020, together with yield data from the varieties in pure stand obtained from the national variety testing trial network

<p>This dataset contains agronomic parameters of 32 winter wheat variety mixtures tested during 2 growing seasons (2019-2020) at 5 locations in Switzerland, as well as yield data of these varieties in pure stands originating from the Swiss national variety testing network. The dataset has been used to investigate the links between asynchrony and yield stability, published in&nbsp;<a href="https://doi.org/10.1002/csc2.21151">https://doi.org/10.1002/csc2.21151</a>.&nbsp;&nbsp;</p> <p>The field trials were performed under the Swiss Extenso (low input) conditions, conducted by Agroscope and DSP.&nbsp;</p> <h2>Methods&nbsp;</h2> <p><em>Field trials&nbsp;</em></p> <p>The experiment took place in five sites across Switzerland, in 2019 and 2020. The sites were located in Nyon (1260), Delley (1567), Utzenstorf (3428), Zurich (8046), and Ellighausen (8566).</p> <p>Experimental communities consisted of 32 different two-variety mixtures grown in 7.1-m<sup>2</sup> plots (1.5&nbsp;&times;&nbsp;4.7&nbsp;m). We replicated the mixture experiment three times per site with the exact same variety composition. We used a randomized block design, with plots being randomized at each site within each block. Density of sowing was 350&nbsp;seeds/m<sup>2</sup>, and seeds were mixed beforehand at a 50:50 ratio in terms of mass. We used the 50:50 mass ratio as this is what is generally done in practice by farmers and seed suppliers. Plots were sown mechanically each autumn. The plots were mechanically fertilized according to the Principles of Agricultural Crop Fertilisation in Switzerland (Federal Office for Agriculture) with an average of 140 kg N/ha (ammonium nitrate), applied in three splits (40 at the tillering stage&mdash;60 at stem elongation stage&mdash;40 when the flag leaf is visible). The experimental trials were conducted following the extenso Swiss scheme, which means that there was no application of any fungicide, insecticide, or plant growth regulator.&nbsp;</p> <p>The performances of single varieties were obtained by going through the trials of the national variety testing program. We gathered the data for the years 2018/2019 and 2019/2020. The data regarding single varieties could be obtained for three out of the five sites used for the mixtures: 1260, 1567, and 8566. Because there were no national variety trials at the two other sites (8046, 3428), we could not get any data for single varieties in these sites. Thus, all further analyses including single variety data were only done for the three sites mentioned above. At each of these sites, the variety trials were located on the same plot as the mixture trials, even though a little further apart. Therefore, soil parameters and crop precedents were the same between the mixture and variety testing trials. Furthermore, we only selected the national variety testing trials that respected the&nbsp;<em>extenso</em> conditions, that is, no fungicide, pesticide, or growth regulator application, and that received the same amount of fertilization as the mixture trials. In 8566 and 1567, sowing and harvesting dates were identical between the two trials; in 1260, sowing and harvesting dates could vary but remained within a week of each other.</p> <p>&nbsp;</p> <p><em>Data collection&nbsp;</em></p> <p>For each plot, heading dates were monitored, and average height at BBCH 59&ndash;75 was measured.</p> <p>The prevalence of diseases was scored twice in the growing season. Specifically, the severity of brown rust, yellow rust, powdery mildew, and Septoria tritici blotch was assessed. This was performed by grading each individual plot from 1 to 9 for each disease, with 1 representing no disease and 9 a complete infection. The scoring scale follows a logistic progression based on the symptoms of the top three leaves. We used the data from the final scoring for statistical analysis, as the disease severity was usually more important then.</p> <p>At maturity, we harvested each plot with a combine harvester. The harvested grains were dried when needed, weighed a first time, then sorted and cleaned by air and with a sieve cleaner, and subsequently weighted again. We measured specific weight and water content at the plot level using a Dickey-John machine (GAC 2100). Grain yield was subsequently standardized to 15% of humidity. Protein content was measured at the site level with a near-infrared instrument (ProxiMate; B&uuml;chi instruments).</p>

opencc-by-4.0Nov 2023View details →
zenodo40/100

DATA FOR STUDY OF PRIVACY ATTITUDE OF USERS OF SOCIAL NETWORKING SITES AND THEIR EXPECTATIONS FROM LAW IN INDIA

<p>In the present study, on Indian population a disproportionate, stratified, purposive, convenience mixed sampling technique&nbsp;has been adopted in order to ensure proper representation of all the stakeholders concerned with regard to the issue of data privacy in India among the population of the study. The stratified sampling technique is popularly used for a large size population and where it is desirable to purposively have an adequate representation of the all the sub-groups. It is estimated that there are about 0.2 million Law Enforcement Officers (Directors General of Police to Assistant Sub- Inspector),&nbsp;2.2 million Legal Professionals, including 21,586 Judges,&nbsp;1.5 million Academicians,&nbsp;about 5000 Information Assurance and Privacy Experts,&nbsp;and 450 million Internet Users in India, out of which 196 million use SNSs.&nbsp;It may be clarified here that all these stakeholders are not only the users of social networking sites but also Indian citizens who are stakeholders in enactment and implementation of the privacy law as and when it is enacted.</p> <p>Based on the size of the total population, a statistically adequate sample size of 385, having a 95 per cent Confidence Level, 5 per cent Margin of Error (Confidence Interval), 0.5 Standard Deviation, a 1.96 Z-score was calculated.</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0May 2019View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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