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364 results for “Network interaction”

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zenodo36/100

CTU Hornet 65 Niner: A Network Dataset of Geographically Distributed Low-Interaction Honeypots

CTU Hornet 65 Niner is a dataset of 65 days of network traffic attacks captured in cloud servers used as honeypots to help understand how geography may impact the inflow of network attacks. The honeypots were placed in nine different geographical locations: Amsterdam, London, Frankfurt, San Francisco, New York, Singapore, Toronto, Bangalore, and Sydney. The data was captured from April 28th to July 1st, 2024. The nine cloud servers were created and configured following identical instructions using Ansible [1] in DigitalOcean [2] cloud provider. The network capture was performed using the Zeek [3] network monitoring tool, which was installed on each cloud server. The cloud servers had only one service running (SSH on a non-standard port) and were fully dedicated to being used as a honeypot. No honeypot software was used in this dataset. The dataset is composed of nine scenarios: <ul> <li>Honeypot-Cloud-DigitalOcean-Geo-1: has 65 folders (YYYY-MM-DD), each containing 24 Zeek conn.log files and other Zeek files</li> <li>Honeypot-Cloud-DigitalOcean-Geo-2: has 65 folders (YYYY-MM-DD), each containing 24 Zeek conn.log files and other Zeek files</li> <li>Honeypot-Cloud-DigitalOcean-Geo-3: has 65 folders (YYYY-MM-DD), each containing 24 Zeek conn.log files and other Zeek files</li> <li>Honeypot-Cloud-DigitalOcean-Geo-4: has 65 folders (YYYY-MM-DD), each containing 24 Zeek conn.log files and other Zeek files</li> <li>Honeypot-Cloud-DigitalOcean-Geo-5: has 65 folders (YYYY-MM-DD), each containing 24 Zeek conn.log files and other Zeek files</li> <li>Honeypot-Cloud-DigitalOcean-Geo-6: has 65 folders (YYYY-MM-DD), each containing 24 Zeek conn.log files and other Zeek files</li> <li>Honeypot-Cloud-DigitalOcean-Geo-7: has 65 folders (YYYY-MM-DD), each containing 24 Zeek conn.log files and other Zeek files</li> <li>Honeypot-Cloud-DigitalOcean-Geo-8: has 65 folders (YYYY-MM-DD), each containing 24 Zeek conn.log files and other Zeek files</li> <li>Honeypot-Cloud-DigitalOcean-Geo-9: has 65 folders (YYYY-MM-DD), each containing 24 Zeek conn.log files and other Zeek files</li> </ul> References: [1] Ansible IT Automation Engine, https://www.ansible.com/. Accessed on 08/28/2024. [2] DigitalOcean, https://www.digitalocean.com/. Accessed on 08/28/2024. [3] Zeek Documentation, https://docs.zeek.org/en/master/index.html. Accessed on 08/28/2024. Funding: The authors acknowledge support by the Strategic Support for the Development of Security Research in the Czech Republic 2019--2025 (IMPAKT 1) program, by the Ministry of the Interior of the Czech Republic under No. VJ02010020 -- AI-Dojo: Multi-agent testbed for the research and testing of AI-driven cyber security technologies.

opencc-by-4.0Oct 2024View details →

zenodo36/100

Plant-Bee Pollen Interaction Networks Based on Epanthidium tigrinum Nests in Fortaleza, Brazil (2019-2020)

This dataset contains detailed ecological data on the interactions between the solitary bee species Epanthidium tigrinum and various flowering plants in an urban area of Fortaleza, Ceará, Brazil. The data were collected from May 2019 to November 2020, focusing on pollen analysis from nests of E. tigrinum using black cardboard trap nests. Data Includes: <ul> <li>LOCALITY: Geographic location of the study.</li> <li>BEE_SPECIE: The species of bee studied, exclusively Epanthidium tigrinum.</li> <li>FLOWER_SPECIES: Identified plant species based on pollen grains found in the nests.</li> <li>INTERACTION_FREQUENCY: The frequency of interactions between E. tigrinum and flowering plants, quantified through pollen presence across analyzed slides.</li> <li>NESTING_PERIOD: Classification of the nesting periods into High Nesting Period (June to September) and Low Nesting Period (remaining months).</li> <li>YEAR: The years of data collection (2019 and 2020).</li> </ul> Potential Uses: This dataset is valuable for researchers studying plant-pollinator interactions, urban ecology, and the role of solitary bees in ecosystem services. It can be utilized in ecological modeling, conservation planning, and understanding the dynamics of pollinator communities in urban settings. Additionally, it may aid in the assessment of the impact of urbanization on pollinator behavior and plant diversity.

opencc-by-4.0Oct 2024View details →

dryad36/100

Legacy effects of seed dispersal mechanisms shape the spatial interaction network of plant species in Mediterranean forests

1. Seed dispersal by frugivores plays a key role in structuring and maintaining tree diversity in forests. However, little is known about how the spatial legacy of seed dispersal and early recruitment shapes spatial patterns and the spatial interaction network of plant species in mature forest communities. 2. We analysed two fully mapped mixed Pine-Oak forest communities using spatial point pattern analysis to determine (i) the detailed structure of the intraspecific spatial patterns of saplings and adults, (ii) the intra- and interspecific spatial interaction of saplings, adults, and saplings relative to adults, (iii) the spatial patterns of species richness at the community level, and (iv) whether seed dispersal mechanisms affect the plant-plant interaction networks and the ratio of adult to sapling neighbourhood densities used as surrogate for spatial self-thinning. 3. The intraspecific spatial patterns of saplings and adults showed in general complex nested cluster structures that were similar for sapling and adult stages, despite of substantial self-thinning in some dry-fruited species. The spatial network of saplings was characterized by positive spatial interactions. Adults of several tree species facilitated saplings in their proximity; however, adults of dry-fruited species, but not those of fleshy-fruited ones, lost almost all positive interactions that occurred at the sapling stage. Besides, interaction strength between adults was positive and often significantly stronger if both species were fleshy-fruited. At the community level, the forests were structured into multispecies clumps across all life stages. 4. Synthesis. Our analyses highlight the importance of the spatial legacy of seed dispersal and early recruitment in the assembly of plant communities. Particularly, animal seed dispersal can lead to multispecies clusters and positive spatial associations across life stages in Mediterranean forests, with surprisingly little signatures of negative interactions. Our analysis suggests that changes of the spatial structure across plant life stages are driven by seed dispersal mechanisms and subsequent spatial self-thinning, generating a spatial footprint at the sapling stage that conditions the long-term interactions between adult plants. Combining spatial point pattern analysis with network analysis and species traits is a promising way to disentangle the processes underlying observed patterns of local diversity.

opencc-zeroJul 2021View details →

dryad36/100

Individual-based networks reveal the highly skewed interactions of a frugivore mutualist with individual plants in a diverse community

While plant-animal interactions occur fundamentally at the individual level, the bulk of research examining the mechanisms that drive interaction patterns has focused on the species or population level. In seed-dispersal mutualisms between frugivores and plants, little is known about the role of space and individual-level variation among plants in structuring patterns of frugivore foraging and, thus, seed dispersal in a plant community. Here we use an animal perspective to examine how space and variation between individual plants affect movement and visitation by frugivores foraging on individual fruiting plants. To do this, we used a spatially explicit network approach informed by observations of the movement and foraging of a frugivorous lemur species (Eulemur rubriventer) amongst individual plants in a diverse plant community in Madagascar. The resulting hierarchical networks, in which a few individual plants received the bulk of the interactions, demonstrated how a generalist frugivore species could act as an individual-plant specialist within a plant community. The few individual plants that dominated interactions with the lemurs shaped the modular spatial structure of frugivory interactions in the community and facilitated visitation to near neighbors. This interaction structure was primarily driven by extrinsic factors, as lemur movements among plants were significantly influenced by the individual plant's spatial position and the species richness of fruiting plants in its immediate neighborhood. Individual plants in central spatial locations, with a rich fruiting neighborhood and large fruit crops, received the most visits. The observed drastic inequality in the interactions of a generalist frugivore within a highly diverse plant community highlights the importance of considering individual-level variation for essential ecosystem processes, such as seed dispersal.

opencc-zeroAug 2021View details →

zenodo36/100

data for Newbury et al Short term fitness effects of bipartite interactions shape network structure of mutualistic and antagonistic communities

speciescountdata.csv contains colony couts and plasmid detection from the main experiment. evonet.csv conatins colony counts of bacteria with and without plasmid pkjk5 from commuities where donors were  o/ p  ancestral/evolved.  AOPV.csv contains optical density data for species a,o,p and v. column 1 is time in hours. Then columns alternate between a, o, p, s, v, a+,o+,p+,s+,v+,s+,v+ (where + denotes plasmid carriage) until column 49. After which the same patten continues, but these were grown with tetracycline. s did not grow at all in the 96-well plate this data was taken from. This is likely due to experimental error, so an additional well plate was used just for s (S.scv). S.csv contains optical density data for species s. column 1 is time in hours. then there are  6 colulmns of s and 6 columns of s+ until column 49. After this the same pattern continues but bacteria were grown with tetracycline.

opencc-by-4.0Aug 2021View details →

zenodo36/100

Data of "Interaction-based material network: a general framework for (porous) microstructured materials"

<pre>Data related to the publication (we would be grateful if you could cite the paper in the case in which you are using the data) title = "Interaction-based material network: a general framework for (porous) microstructured materials", journal = "Computer Methods in Applied Mechanics and Engineering", pages = " ", year = "202?", issn = "0045-7825", doi = "https://doi.org/10.1016/j.cma.", author = "Nguyen, Van Dung and Noels, Ludovic"</pre>

opencc-by-4.0Oct 2021View details →

zenodo36/100

Bacterial Community Diversity and Bacterial Interaction Network in Eight Mosquito Species

Sequences of the V4 region of 16S rRNA from 111 mosquito samples.  This dataset was used for analysis of bacterial diversity and bacterial interaction network in eight mosquito species. Result of the analysis is in the article "Bacterial Community Diversity and Bacterial Interaction Network in Eight Mosquito Species" (Genes 2022, 13(11), 2052; https://doi.org/10.3390/genes13112052).

opencc-by-4.0Nov 2022View details →

zenodo36/100

Cytoscape files - Systems-level analyses of protein-protein interaction network dysfunctions via epichaperomics identify cancer-specific mechanisms of stress adaptation

Cytoscape files of pathway enrichment analyses and PPI mapping associated with manuscript https://www.nature.com/articles/s41467-023-39241-7 Systems-level analyses of protein-protein interaction network dysfunctions via epichaperomics identify cancer-specific mechanisms of stress adaptation Anna Rodina1,11, Chao Xu1,11, Chander S. Digwal1,11, Suhasini Joshi1,11, Anand R. Santhaseela1, Sadik Bay1, Swathi Merugu1, Aftab Alam1, Pengrong Yan1, Chenghua Yang1,12, Tanaya Roychowdhury1, Palak Panchal1, Liza Shrestha1, Yanlong Kang1, Sahil Sharma1, Yogita Patel2, Justina Almadovar1, Adriana Corben3,13, Mary Alpaugh1,14, Shanu Modi4, Monica L. Guzman5, Teng Fei6, Tony Taldone1, Stephen D. Ginsberg7,8, Hediye Erdjument-Bromage9, Thomas A. Neubert9, Katia Manova-Todorova10, Jason C. Young2, Meng-Fu Bryan Tsou10, Tai Wang1,*, Gabriela Chiosis1,4,* Abstract Systems-level assessments of protein-protein interaction (PPI) network dysfunctions are currently out-of-reach because approaches enabling proteome-wide identification, analysis, and modulation of context-specific PPI changes in native (unengineered) cells and tissues are lacking. Herein, we take advantage of first-in-class chemical binders of maladaptive scaffolding structures termed epichaperomes and develop an epichaperome-based ‘omics platform, epichaperomics, to identify PPI alterations in disease. We provide multiple lines of evidence, at both biochemical and functional levels, demonstrating the importance of these probes to identify and study PPI network dysfunctions and provide mechanistically and therapeutically relevant proteome-wide insights. As proof-of-principle, we derive systems-level insight into PPI dysfunctions of cancer cells which enabled the discovery of a context-dependent mechanism by which cancer cells enhance the fitness of mitotic protein networks. Importantly, our systems levels analyses support the use of epichaperome chemical binders as therapeutic strategies aimed at normalizing PPI networks.

opencc-by-4.0Dec 2022View details →

dryad36/100

Successional and phenological effects on plant-floral visitor interaction networks of a tropical dry forest

1. Plant-pollinator interactions are fundamental to ecosystem functioning; however, the role that succession and phenology have on these interactions is poorly understood, particularly in endangered tropical ecosystems. In highly diverse ecosystems such as tropical dry forests (TDF), variation in water and food availability determines the life cycles of animal pollinators. Therefore, understanding patterns of flowering phenology and plant-pollinator interactions across seasons in successional environments is key to maintaining and restoring TDF. 2. We analysed the functional dynamics of plant-floral visitor interactions at the community level across a successional gradient in a Mexican TDF. We evaluated changes in the diversity of blooming plant species and floral visitors, phenological patterns, interaction network metrics, and beta diversity among early, intermediate, and late successional stages, between dry and rainy seasons. 3. We found a higher diversity of blooming plant species and a higher richness of animal species in the intermediate and late successional stages. Peak abundance of floral visitors overlapped with flowering peaks in the late successional stages, but this was not consistently the case in the early and intermediate stages. Plant-floral visitors networks differed in structure according to successional stage and season, but specialisation metrics were higher in late successional stages. Interaction networks were more dissimilar between dry and rainy seasons within successional stages than within seasons between successional stages, suggesting connectivity across successional sites during each season. In addition, closely related plant species do not share the same pollination systems in any successional stage. 4. Synthesis. Our results showed that plant-floral visitor interactions are dynamic and vary with flowering phenology and with successional changes in plant and animal diversity. Plant-floral visitor interactions were more diverse and specialised in the late successional stages. In the rainy season, differences in network structure among successional stages are due to interaction rewiring, while in the dry season, it is caused by species turnover. Our results demonstrate that seasonality plays a key role in community diversity and network structure and highlight the importance of conserving mature forests to ensure the maintenance of critical pollination interactions across all successional stages.

opencc-zeroJan 2023View details →

dryad36/100

Orchid-mycorrhizal fungi interactions reveal a duality in their network structure in two European regions differing in climate

Network analysis is an effective tool to describe and quantify the ecological interactions between plants and root-associated fungi. Mycoheterotrophic plants, such as orchids, critically rely on mycorrhizal fungi for nutrients to survive, therefore, investigating the structure of those intimate interactions brings new insights into the plant community assembly and coexistence. So far, there is little consensus on the structure of those interactions, described either as nested (generalist interactions), modular (highly specific interactions) or of both topologies. Biotic factors (e.g., mycorrhizal specificity) were shown to influence the network structure, while there is less evidence of abiotic factor effects. By using next-generation sequencing of the orchid mycorrhizal fungal (OMF) community associated with 238 plant individuals belonging to 17 orchid species, we assessed the structure of four orchid-OMF networks in two European regions under contrasting climatic conditions (Mediterranean vs Continental). Each network contained four to 12 co-occurring orchid species, including up to eight species shared among the sites. All four networks were both nested and modular, and fungal communities were different between co-occurring orchid species, despite multiple sharing of fungi across some orchids. Co-occurring orchid species growing in Mediterranean climates were associated with more dissimilar fungal communities, consistent with a greater modular structure compared to the Continental ones. The OMF diversity was comparable among orchid species since most orchids were associated with multiple rarer fungi and with only a few highly dominant ones in the roots. Our results provide useful highlights on potential factors involved in structuring plant-mycorrhizal fungi interactions in different climatic conditions.

opencc-zeroMar 2023View details →

dryad36/100

The structure and ecological function of the interactions between plants and arbuscular mycorrhizal fungi through multilayer networks

<ol> <li>Arbuscular mycorrhizas are one of the most frequent mutualisms in terrestrial ecosystems. Although studies on plant mutualistic interaction networks suggest that they may leave their imprint on plant community structure and dynamics, this has not been explicitly assessed. Thus, in the context of plant-fungi interactions, studies explicitly linking plant-mycorrhizal fungi interaction networks with key ecological functions of plant communities, such as recruitment, are lacking. </li> <li>In this study, we analyse, in two Mediterranean forest communities of southern Iberian Peninsula, how plant-AMF networks modulate plant-plant recruitment interaction networks. We use a new approach integrating plant-AMF and plant recruitment networks into a single multilayer structure. We also develop a new metric (Interlayer Node Neighbourhood Integration, INNI) to explore the impact of a given node on the structure across layers.</li> <li>Similarity of plant species in their AMF communities is positively related to the observed frequency of recruitment interactions in the field. Results reveal that properties of plant-AMF networks, such as plant degree and centrality, contribute to explaining properties of the plant recruitment network, such as in- and out-degree (i.e. sapling bank and canopy service) and its modular structure. However, these relationships differed between the two forest communities. Finally, we identify particular AMF that contribute to integrating the neighbourhood of recruitment interactions between plants.</li> <li>This multilayer network approach is useful to explore the role of plant-AMF interactions on recruitment, a key ecosystem function enhanced by fungi. Results provide evidence that the complex structure of plant-AMF interactions impacts functional and structurally plant-plant interactions, which in turn may potentially influence plant community dynamics, through their effects on the structure of the recruitment network.</li> </ol>

opencc-zeroDec 2022View details →

dryad36/100

Data for: Honey bees (Apis mellifera) modify plant-pollinator network structure, but do not alter wild species' interactions

Honey bees (Apis mellifera) are widely used for honey production and crop pollination, raising concern for wild pollinators, as honey bees may compete with wild pollinators for floral resources. The first sign of competition, before changes appear in wild pollinator abundance or diversity, may be changes to wild pollinator interactions with plants. Such changes for a community can be measured by looking at changes to metrics of resource use overlap in plant-pollinator interaction networks. Studies of honey bee effects on plant-pollinator networks have usually not distinguished whether honey bees alter wild pollinator interactions, or if they merely alter total network structure by adding their own interactions. To test this question, we experimentally introduced honey bees to a Canadian grassland and measured plant-pollinator interactions at varying distances from the introduced hives. We found that honey bees increased the network metrics of pollinator and plant functional complementarity and decreased interaction evenness. However, in networks constructed from just wild pollinator interactions, honey bee abundance did not affect any of the metrics calculated. Thus, all network structural changes to the full network (including honey bee interactions) were due only to honey bee-plant interactions, and not to honey bees causing changes in wild pollinator-plant interactions. Given widespread and increasing use of honey bees, it is important to establish whether they affect wild pollinator communities. Our results suggest that honey bees did not alter wild pollinator foraging patterns in this system, even in a year that was drier than the 20-year average.

opencc-zeroJun 2023View details →

ClinicalTrials.gov36/100

Modulating Interaction of Motor Learning Networks in Rehabilitation of Stroke

ClinicalTrials.gov study NCT03086551. IPD Sharing: NO. Countries: 1. Publications: 3.

closedIPD-NOFeb 2026View details →

dryad36/100