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556 results for “Meta Data”
Data for: Resetting our expectations for parasites and their effects on species interactions: A meta-analysis
<p>Despite the ubiquitous nature of parasitism, how parasitism alters the outcome of host species interactions such as competition, mutualism, and predation remain unknown. Using a phylogenetically informed meta-analysis of 154 studies, we examined how the mean and variance in the outcomes of species interactions differed between parasitized and non-parasitized hosts. Overall, parasitism did not significantly affect the mean or variance of host species interaction outcomes, nor did the shared evolutionary histories of hosts and parasites have an effect. Instead, there was considerable variation in outcomes, ranging from strongly detrimental to strongly beneficial for infected hosts. Trophically-transmitted parasites increased the negative effects of predation, parasites increased and decreased the negative effects of interspecific competition for parasitized and non-parasitized heterospecifics, respectively, and parasites had particularly strong negative effects on host species interactions in freshwater and marine habitats, yet were beneficial in terrestrial environments. Our results illuminate the diverse ways in which parasites modify critical linkages in ecological networks, implying that whether the cumulative effects of parasitism are considered detrimental depends not only on the interactions between hosts and their parasites, but also on the many other interactions that hosts experience.</p>
Data from: Which traits optimize plant benefits? Meta-analysis on the effect of partner traits on the outcome of an ant-plant protective mutualism
<p><span>1. Theoretical models on mutualism dynamics predict that partner traits may influence the outcome of mutualistic interactions. However, most empirical data on this issue is restricted to case studies, limiting our ability to reach a more widespread comprehension of the role of partner traits on the dynamic of mutualisms. </span></p> <p><span>2. We investigated how the outcome of protective mutualisms between ants and plants bearing extrafloral nectaries (EFNs) is influenced by the traits of EFNs and ants feeding on EFNs. We used a meta-analytical approach based on 35 studies investigating the effect of ant attendance on the herbivores and reproductive performance of EFN-bearing plants. We evaluated how variation in the EFN vascularization and location on plants and the ant aggressiveness can modulate the effect of ant attendance on the plants. </span></p> <p><span>3. Both plant and ant traits investigated here drove the outcome of the protective mutualism for EFN-bearing plants. Plants exclusively bearing EFNs near reproductive organs benefited more from ant attendance than plants bearing EFNs on vegetative or vegetative and reproductive organs. Ants had a higher positive impact on the reproductive performance of plants bearing non-vascularized EFNs than plants bearing vascularized EFNs, although their effects on herbivores had been similar in both plant types. Regarding the ant behavior, plants often attended by more aggressive ant species had a higher reproductive performance than plants often attended by less aggressive ones. </span></p> <p><span>4. Synthesis</span><span>: Our results highlight that the selective pressures and evolutionary routes in ant-plant protective mutualisms may depend on the pool of traits exhibited by partner species. Although some studies have already reported some impact of species traits on the outcome of ant-plant mutualisms, this is the first time that a generalization about the role of species traits on the net balance of ant attendance was proposed. Due to this generalization, it was possible to advance our knowledge about the evolution of facultative mutualisms by showing that the role of species traits on the mutualistic outcome can vary in intricate ways due to a particular trait combination found among partners in communities where the interactions are embedded in.</span></p>
RDF version of the supplementary data from Shin, Hyun Kil and Seo et al. Meta-analysis of Daphnia magna nanotoxicity experiments in accordance with test guidelines. Environ. Sci.: Nano (2018)
<p>This is an RDF version of the dataset published by Shin, Hyun Kil and Seo et al. as a supplement of the study Meta-analysis of Daphnia magna nanotoxicity experiments in accordance with test guidelines. Environ. Sci.: Nano (2018).</p> <p>The original dataset is available online: <a href="https://ui.staging.kit.cloud.douglasconnect.com/dataexplorer?dataset=ab2bc1ee-99dc-4ddf-b1f9-9fdeb8a0f48c%3A1&q=%7B%7D">https://ui.staging.kit.cloud.douglasconnect.com/dataexplorer?dataset=ab2bc1ee-99dc-4ddf-b1f9-9fdeb8a0f48c%3A1&q=%7B%7D</a></p> <p>The original publication DOI: <a href="http://dx.doi.org/10.1039/C7EN01127J">http://dx.doi.org/10.1039/C7EN01127J</a></p> <p>GitHub repository of the datasets converted to RDF along with RML mappings: <a href="https://github.com/ammar257ammar/RDFied-datasets">https://github.com/ammar257ammar/RDFied-datasets</a></p>
Data from: Assessing the mechanisms and impacts of shrub invasion in forests: A meta-analysis
<ol> <li>The encroachment of invasive shrubs in forest understories can have detrimental effects on native plant recruitment. As a result, removal of invasive species is a common practice although long-lasting success is rare. In order to effectively conserve and manage invaded forests, it is crucial to understand the mechanisms that drive shrub invasion, i.e., high propagule pressure, low native resistance, and exploitation of empty niches.</li> <li>To gain a deeper understanding of the invasion process in forest ecosystems we conducted a meta-analysis of the work done in this topic. We collected data on invasive species and native community performance and on the abiotic conditions of forest understories under low and high levels of shrub invasion. We analyzed data from 124 articles that yielded 377 unique observations.</li> <li>Our results revealed that while invader performance did not vary by the mechanism of invasion, the impact on the native community was significantly detrimental when invasion occurred via low biotic resistance, and only marginally significant via propagule pressure. Invasive species performance was associated with increases in light availability, but not with other resources (soil water, or nutrients). When assessing impact on native performance as a function of invasive performance, results were again only significant under the low biotic resistance mechanism. Lastly, impacts were stronger when invasion took place by a single invader.</li> <li> <em>Synthesis and applications</em>: Taken together, these results suggest that restoration efforts should focus on (i) increasing the presence of strong native competitors or functionally diverse native communities, (ii) decreasing sources of invasive shrub propagules while keeping the canopies closed when invasion occurs via high propagule pressure, (iii) avoiding management techniques that degrade or diminish canopy cover, and (iv) prioritizing management of forest understories dominated by particularly impactful invasive shrubs.</li> </ol>
Delaunay data set learn2learn l2l for meta-learning and few-shot learning
<p>Delaunay data set learn2learn l2l for meta-learning and few-shot learning. We split it into 3 meta-train, meta-val and meta-test sets. </p> <p> </p> <p>For details of original data see: https://github.com/camillegontier/DELAUNAY_dataset</p>
Uncovering the Citation Landscape: Exploring OpenCitations COCI, OpenCitations Meta, and ERIH-PLUS in Social Sciences and Humanities Journals - DATA PRODUCED
<p>This zipped folders contain all the data produced for the research "Uncovering the Citation Landscape: Exploring OpenCitations COCI, OpenCitations Meta, and ERIH-PLUS in Social Sciences and Humanities Journals": the results datasets (dataset_map_disciplines, dataset_no_SSH, dataset_SSH, erih_meta_with_disciplines and erih_meta_without_disciplines).</p> <ul> <li> <p><strong>dataset_map_disciplines.zip </strong>contains CSV files with four columns ("id", "citing", "cited", "disciplines") giving information about publications stored in OpenCitations META (version 3 released on February 2023) and part of SSH journals, according to ERIH PLUS (version downloaded on 2023-04-27), specifying the disciplines associated to them and a boolean value stating if they cite or are cited, according to the OpenCitations COCI dataset (version 19 released on January 2023).</p> </li> <li> <p><strong>dataset_no_SSH.zip </strong>and <strong>dataset_SSH.zip</strong> contain CSV files with the same structure. Each dataset has four columns: "citing", "is_citing_SSH", "cited", and "is_cited_SSH". ”Citing” and “cited” columns are filled with DOIs of publications stored in OpenCitations META that according to OpenCitations COCI are involved in a citation. The "is_citing_SSH" and "is_cited_SSH" columns contain boolean values: "True" if the corresponding publication is associated with a SSH (Social Sciences and Humanities) discipline, according to ERIH PLUS, and "False" otherwise. The two datasets are built starting from the two different subsets obtained as a result of the union between OpenCitations META and ERIH PLUS: dataset_SSH comes from erih_meta_with_disciplines and dataset_no_SSH from <strong>erih_meta_without_disciplines. </strong>dataset_no_SSH comes from <strong>erih_meta_with_disciplines.zip</strong> and erih_meta_without_disciplines.zip, as explained before, contain CSV files originating from ERIH PLUS and META. erih_meta_without_disciplines has just one column “id” and contains the DOIs of all the publications in META that do not have any discipline associated, that is, have not been published on a SSH journal, while erih_meta_with_disciplines derives from all the publications in META that have at least one linked discipline and has two columns: “id” and “erih_disciplines”, containing a string with all the disciplines linked to that publication like "History, Interdisciplinary research in the Humanities, Interdisciplinary research in the Social Sciences, Sociology".</p> </li> </ul> <p>Software: https://doi.org/10.5281/zenodo.8326023</p> <p>Data preprocessed: https://doi.org/10.5281/zenodo.7973159</p> <p>Article: https://zenodo.org/record/8326044</p> <p>DMP: https://zenodo.org/record/8324973</p> <p>Protocol: https://doi.org/10.17504/protocols.io.n92ldpeenl5b/v5</p>
Uncovering the Citation Landscape: Exploring OpenCitations COCI, OpenCitations Meta, and ERIH-PLUS in Social Sciences and Humanities Journals - DATA PREPROCESSED
<p>This zipped folders contain all the data preprocessed for the research "Uncovering the Citation Landscape: Exploring OpenCitations COCI, OpenCitations Meta, and ERIH-PLUS in Social Sciences and Humanities Journals": the cleaned datasets (coci_preprocessed, meta_preprocessed, erih_preprocessed and erih_meta).</p> <ul> <li> <p><strong>coci_preprocessed.zip</strong>: this archive contains CSVs with two columns “citing” and “cited”, giving information about publications involved in citations according to the OpenCitations COCI dataset (version 19 released on January 2023), and that are entirely contained in OpenCitations META (version 3 released on February 2023). This means that the citations which have either the citing or the cited entity (or both) not contained in META are excluded from coci_preprocessed dataset.</p> </li> <li> <p><strong>meta_preprocessed.zip</strong>: all the original columns of OpenCitations META are maintained in this dataset, so the CSVs have the columns: “id”, “title”, “author”, “issue”, “volume”, “venue”, “page”, “pub_date”, “type”, “publisher” and “editor”. The only difference with the original dataset is that meta_preprocessed in the columns “id” and “venue” has respectively just the DOIs and the ISSNs, without all the other identifiers specified for each entity in META.</p> </li> <li> <p><strong>erih_preprocessed.zip</strong>: it contains a CSV file with two columns "venue_id" and "ERIH_disciplines". "venue_id" is the union of the original columns "Online ISSN" and "Print ISSN" of ERIH_PLUS (version downloaded on 2023-04-27).</p> </li> <li> <p><strong>erih_meta.zip</strong>: it contains CSV files obtained from the union of meta_preprocessed and erih_preprocessed, they have all the columns of meta_preprocessed plus a new column “erih_disciplines” containing all the disciplines linked to a venue (identified by an ISSN).</p> </li> </ul> <p> </p> <p>Software: https://doi.org/10.5281/zenodo.8326023</p> <p>Data produced: https://doi.org/10.5281/zenodo.7974816</p> <p>Article: https://zenodo.org/record/8326044</p> <p>DMP: https://zenodo.org/record/8324973</p> <p>Protocol: https://doi.org/10.17504/protocols.io.n92ldpeenl5b/v5</p>
Data from: Biological clocks as age estimation markers in animals: a review and meta-analysis
<p>Complete dataset of Methylation and Telomere studies searched, retrieved, analysed, extracted and compared in the review and meta-analysis "<strong>Biological clocks as age estimation markers in animals: a review and meta-analysis".</strong></p>
Data and code for figures: Tailoring microcombs with inverse-designed, meta-dispersion microresonators
<p>This dataset contains the data presented in the Figures of the paper Tailoring microcombs with inverse-designed, meta-dispersion microresonators. <em>Nat. Photon.</em> (2023) DOI: 10.1038/s41566-023-01252-7.</p> <p>Generated with MatlabR2022, the figureData.mat files contain the data for each panel and the associated createfigure.m code reads the data and assembles the plots.</p>
META DATA FOR ENSEMBLE PROJECT
<p>### META DATA FOR ENSEMBLE PROJECT ###</p> <p>This dataset contains raw field measurements and laboratory results of field surveys and experiments performed in the ENSEMBLE project.</p> <p><br> For more information on the ENSEMBLE Project and related publications please see: https://www.epfl.ch/labs/river/ensemble/</p> <p>This dataset contains data and metadata for field surveys conducted in June and August 2019 (ENSEMBLE_2019_Campaign) and data and metadata on a global-change microbiology experiment performed during summer 2020 (ENSEMBLE_2020_Experiment).</p> <p>### ENSEMBLE Field Campaign ###<br> - Sensor data contains a continuous record of key environmental parameter (Temperature, Electrical Conductivity, pH, Turbidity) measured at the the three field sites (Val Sorey, Valroseg and Otemma)<br> - BA contains flow cytometric measurements of bacterial abundance (in cells g-1 dry sediment).<br> - BP contains measurements of bacterial carbon production measured as 3H Leucine incorporation.<br> - Chla-1 and Chla-2 contain data on the spectrophotometric measurement of chlorophyl-a (after extraction in EtOH).<br> - DOC contains data on the concentration of Dissolved Organic Carbon.<br> - EEA contains data on the measurements of Extracellular Enzyme Activities.<br> - EPS contains data on the quantification of Extracellular Polymeric Substances measured as carbohydrate equivalents (Dubois assay).<br> - Field Data contains metadata (ID, coordinates, sampling time, etc) for the field sites.<br> - NUT contains measurements of main water nutrients (NO3, NO2, NH4, and SRP)<br> - SI contains data on water stable isotopes<br> - Water Metadata contains measurements of key environmental data for a subset of sites.</p> <p><br> ### ENSEMBLE Experiment ###</p> <p>- The folder Pictures contains drone images and close-up pictures of the field experiment setup.<br> - CHLA_BA contains measurements of chl-a concentration and bacterial cell counts<br> - metadata contains measurements of key environmental parameter for each treatment over the course of the experiment<br> - NUT contains measurement of main water nutrients (NO3, NO2, NH4, and SRP)<br> </p>
Data from: Broad-scale meta-analysis of drivers mediating adverse impacts of flow regulation on riparian vegetation
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Data, analytical, and plotting codes needed to reproduce meta-analyses on within-season divorce in birds
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Data from: Genetic effects of anthropogenic habitat fragmentation on remnant animal and plant populations: a meta-analysis
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Data from: Controlled drainage and subirrigation suitability in the United States: A meta-analysis of crop yield and soil moisture effects
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Data from: Which traits optimize plant benefits? Meta-analysis on the effect of partner traits on the outcome of an ant-plant protective mutualism
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Data from: Meta-analytical evidence for frequency-dependent selection across the tree of life
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Data from: Assessing the association between animal color and behavior: A meta-analysis of experimental studies
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Data from: Worldwide impacts of landscape anthropization on mosquito abundance and diversity: a meta-analysis
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Data and analyses from: Context matters: A meta-analysis of the variable impacts of transgenerational and developmental plasticity on responses to stress
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Data from: Crop and landscape heterogeneity increase biodiversity in agricultural landscapes: A global review and meta-analysis
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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.