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132 results for “Ecological network”
NPM ecology network dataset
<p>The dataset contains the dataset of the NPM ecology network.</p> <ul> <li><a href="../api/records/10317762/draft/files/npm_openrank_top100.csv/content" target="_blank" rel="noopener noreferrer">npm_openrank_top100.csv</a> file contains the result of top 100 OpenRank repositories in npm ecology.</li> <li><a href="../api/records/10317762/draft/files/npm_ecology.json/content" target="_blank" rel="noopener noreferrer">npm_ecology.json</a> file contains the original network of npm ecology open source repositories, use `CALL apoc.import.json('npm_ecology.json')` to import the network into Neo4j database.</li> <li><a href="../api/records/10317762/draft/files/npm_ecology.dump/content" target="_blank" rel="noopener noreferrer">npm_ecology.dump</a> file is generated by Neo4j dump command, use `bin/neo4j-admin load --from=npm_ecology.dump --database=npmecology --force` to load the data into Neo4j database. This will be much faster than loading from JSON file.</li> </ul>
Using dung densities to assess the ecological effectiveness of a protected area network
<p>Given recent global endeavors to increase protected area coverage, it is crucial to comprehensively evaluate the efficacy of various area-based conservation strategies in effectively reducing biodiversity loss. Here, we investigated responses of wildlife populations to different protection levels and environmental variables at the landscape scale in the Katavi-Rukwa Ecosystem, western Tanzania. To this end, we conducted line distance sampling surveys and counted dung of six target mammal species (elephant, giraffe, buffalo, zebra, topi, hartebeest) along foot transects within areas differing in protection levels (from strict to less-strictly protected: national park, game reserve, forest reserve, game-controlled area, and unprotected areas). Based on these dung counts, we modelled the spatial distribution of these six mammal species using a species-specific density surface modelling framework. We, found consistent effects of protection level and land-use variables on the spatial distribution of the target mammal species: dung densities were highest in the national park and game reserves, intermediate in less-strictly protected areas and lowest in un-protected areas. Beyond species-specific environmental predictors for dung densities, our results highlight consistent negative associations between dung densities of the target species and distance to cropland and avoidance of areas in proximity to houses. Our findings underpin differences in ecological effectiveness of protected areas within one ecosystem. Protection level and land use play crucial roles in moderating the spatial distribution of all considered mammal species. Our findings suggest that a landscape approach needs to guide effective conservation across the entire protection gradient of the Katavi-Rukwa Ecosystem.</p>
Daily NOAA Global Ensemble Forecasting System forecasts for six National Ecological Observatory Network lakes (2021--05-18 to 2021-10-24)
<p>NOAA Global Ensemble Forecasting System output generated at 00 UTC that has been subsetted and temporally downscaled from 6-hr to 1-hr for six lakes in the National Ecological Observatory Network. The files include all ensembles and the set of variables required to run the General Lake Model. The NEON siteID for the lakes are BARC, SUGG, CRAM, LIRO, PRLA, PRPO. See https://www.neonscience.org for more information about each lake.</p>
An innovative approach combining metabarcoding and ecological interaction networks for selecting candidate biological control agents
<p>Classical biological control (CBC) can be used to decrease the density of invasive species to below an acceptable ecological and economic threshold. Natural enemies specific to the invasive species are selected from its native range and released into the invaded range. This approach has drawbacks, despite the performance of specificity tests to ensure its safety, because the fundamental host range defined under controlled conditions does not represent the actual host range <em>in natura, </em>and these tests omit indirect interactions within community.</p> <p>We focus on <em>Sonchus oleraceus</em> (Asteraceae), a weed species originating from Western Palearctic that is invasive in many countries and notably in Australia. We explore how analyses of interaction network within its native range can be used to 1) inventory herbivores associated to the target plant, 2) characterize their ecological host ranges, and 3) guide the selection of candidate biocontrol agents considering interactions with species from higher trophic levels. Arthropods were collected from plant community sympatric to <em>S. oleraceus</em>, in three bioclimatic regions, and interactions were inferred by a combination of molecular and morphological approaches.</p> <p>The networks reconstructed were structured in several trophic levels from basal species (plant community), to intermediate and top species (herbivorous arthropods and their natural enemies). The subnetwork centered on <em>S. oleraceus</em> related interactions contained 116 taxa and 213 interactions. We identified 47 herbivores feeding on <em>S. oleraceus</em>, 15 of which were specific to the target species. Some discrepancies with respect to published findings or conventional specificity tests suggested possible insufficient sampling effort for the recording of interactions or the existence of cryptic species. Among potential candidate agents, 6 exhibited interactions with natural enemies.</p> <p>Synthesis and applications: Adopting a network approach as prerequisite step of the classical biological control program can provide a rapid screening of potential agents to be tested in priority. Once ecological host range defined, we suggest that priority should be given to agent used by a minimum species, and, when they exist, to agents that possess enemies from the most distant taxonomical group from those occurring in the range of introduction.</p>
Conservation networks do not match ecological requirements of amphibians
<p>Supplementary files of the paper Matutini et al. 2023 (https://doi.org/10.1101/2022.07.18.500425)</p> <p>Dataset sample and R script</p>
Figure 5 in Knowledge gaps regarding frugivorous ecological networks between birds and plants in Brazil
Figure 5. Complex ecological network constructed from information about interactions between frugivorous birds (triangles) and non-native plants (circles) in the Brazilian Atlantic Forest (A) and Cerrado (B). Each color represents an agglomerate of species that are more connected among themselves than with species of other agglomerates. Names in triangles and circles represent are abbreviations of species names. Abbreviations are defined in the supplementary material (S1).
Figure 3 in Knowledge gaps regarding frugivorous ecological networks between birds and plants in Brazil
Figure 3. Complex ecological network constructed with information about interactions between frugivorous birds (triangles) and plants (circles) in the Brazilian Atlantic Forest. Each color represents an agglomerate of species that are more connected among themselves than with species of other agglomerates. Species with the highest values of connectivity and centrality are circled. Names in triangles and circles are abbreviations of species names. Abbreviations are defined in the supplementary material (S1).
Figure 4 in Knowledge gaps regarding frugivorous ecological networks between birds and plants in Brazil
Figure 4. Complex ecological network constructed with information about interactions between frugivorous birds (triangles) and plants (circles) in the Brazilian Cerrado. Each color represents an agglomerate of species that are more connected among themselves than with species of other agglomerates. Species with the highest values of connectivity and centrality are circled. Names in triangles and circles are abbreviations of species names. Abbreviations are defined in the supplementary material (S1).
Assessing Pairwise Ecological Association Inference using a novel Ecological Network Inference Simulation-Validation Framework - Data Repository
<p>Accompanying data for manuscript entitled "<span>A novel Network Inference Simulation-Validation Framework for Assessment of Ecological Network Inference Performance</span>" whose submission is imminent.</p>
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>
Using dung densities to assess the ecological effectiveness of a protected area network
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Data from: Does biological intimacy shape ecological network structure? A test using a brood pollination mutualism on continental and oceanic islands
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The structure and ecological function of the interactions between plants and arbuscular mycorrhizal fungi through multilayer networks
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Data from: Empirical evidence for the ecological significance of interaction network indices within a mutualistic network
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An innovative approach combining metabarcoding and ecological interaction networks for selecting candidate biological control agents
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An ecological network approach to assessing the site suitability of photovoltaic power stations
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Data from: Ecological network inference from long-term presence-absence data
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Data for: Integration of an invasive plant in hummingbird and flower mite networks is driven by ecological fitting and generalization
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Ecological mechanisms explaining interactions within plant-hummingbird networks: morphological matching increases towards lower latitudes
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Data for: Fundamental interaction niches: towards a functional understanding of ecological networks’ resilience
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ScienceDex guides
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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.