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802 results for “urban data”
Data for "Urbanization and a green corridor do not impact genetic divergence in common milkweed"
<p>This data for "Urbanization and a green corridor do not impact genetic divergence in common milkweed", a publication in preparation for submission (2/7/2023)</p>
Model simulations utilizing the latest urban underlying surface and anthropogenic heat data
<p>Based on numerical simulations utilizing the latest urban underlying surface and anthropogenic heat data over the Yangtze River Delta urban agglomeration, we find that LU change and AH emission can result in opposite effects on summer precipitation. The related model simulations are included in this dataset.</p>
Questionnaire data for assessing what determines urban residents' engagement in activities for the protection of urban green spaces (UGS)
<p>This dataset contains the core data used to investigate what determines Munich’s residents’ engagement in activities for the protection of urban green spaces (UGS). We conducted an exploratory factor analysis and a structural equation modelling based on the data from an online and in-person questionnaire.</p> <p><strong>List of data and content</strong></p> <ol> <li>Questionnaire_English: The content of the questionnaire in English (*.pdf)</li> <li>Questionnaire_RawData_ Munchen_German: Core data from the questionnaire in German (*.xlsx)</li> <li>InputEFA1: Core data for the first exploratory factor analysis with the input for analysis in Mplus (*.xlsx)</li> <li>InputEFA2: Core data for the second exploratory factor analysis with the input for analysis in Mplus (*.xlsx)</li> <li>InputSEM: Core data for the structural equation modelling with the input for analysis in Mplus (*.xlsx)</li> <li>ResultsSEM: Results of the structural equation modelling (*.xlsx)</li> <li>InputCFA1: Core data for the first confirmatory factor analysis with the input for analysis in Mplus (*.xlsx)</li> <li>ResultsCFA1: Results of the confirmatory factor analysis (*.xlsx)</li> <li>InputCFA2: Core data for the second confirmatory factor analysis with the input for analysis in Mplus (*.xlsx)</li> <li>ResultsCFA2: Results of the confirmatory factor analysis (*.xlsx)</li> <li>Acronyms_Shortings: Acronyms and shortings used in the uploaded files (*.pdf)</li> </ol> <p><strong>Data processing</strong></p> <p>The software for performing the exploratory factor analysis and structural equation modelling was Mplus 8.8 (Muthén and Muthén, 1998). The details on the methodological steps are available in the published publication. To quickly understand the <a href="https://www.statmodel.com/HTML_UG/chapter4V8.htm">EFA</a>,<a href="https://www.statmodel.com/download/usersguide/Chapter5.pdf"> CFA and SEM model and settings</a> the details are provided in the hyperlinks.</p> <p><strong>Acknowledgments</strong></p> <p>The authors thank to all participants for their participation in the online and in-person questionnaires. Data processing and analysis would not have been possible without the help of Tomomi Saito.</p> <p>This work was supported by a grant from the Alexander von Humboldt Foundation and by the Leibniz Best Minds Competition, Leibniz-Junior Research Group, Grant J76/2019.</p>
Urban nature visitation, accessibility, and impact of travel distance for sustainable cities - Data
<p>Data used in the analysis for: Talal, M.L., Gruntman, M. Urban nature visitation, accessibility, and impact of travel distance for sustainable cities. <i>Sci Rep</i> <strong>13</strong>, 17808 (2023). https://doi.org/10.1038/s41598-023-44861-6</p><p>The data was collected in a web-based survey of Tel Aviv-Yafo residents between March 21, 2021 and May 5, 2021. It includes information for 421 visitors of urban nature sites, such as visit frequency per year before and during COVID-19 and distance from home (km) category. </p>
Codes, raw predation data on dummy caterpillars, and environmental data about urban green spaces across 26 Brazilian state capitals
<p>Data collected by the Urban Predation Risk Network about predation pressure on dummy caterpillars exposed for eight days in 26 small green spaces and 24 forest patches across 26 Brazilian state capitals. The raw predation data describes the type of predator and the day in which each caterpillar was found with marks, as well as the sites' coordinates. The environmental data provides information for each site about precipitation, annual mean temperature, temperature seasonality, elevation, and coordinates. This database also provides summarized information about predation at each site, such as the total number of attacked caterpillars and the number of attacked caterpillars by each predator group. The data files contain a metadata sheet with a description of each column.</p> <p>The code provided was used to assess the local and large-scale drivers of predation pressure on dummy caterpillars in small green spaces and forest patches across 26 Brazilian cities.</p>
Data from: Gene flow and genetic drift in urban environments
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Data from: Senescence in the city: exploring ageing patterns of a long‐lived raptor across an urban gradient
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Data from: Quantifying human presence in a heterogeneous urban landscape
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Data from: Taxonomic and phylogenetic diversity of vascular plants at Ma’anling volcano urban park in tropical Haikou, China: Reponses to soil properties
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Data from: Mapping phosphorus hotspots in Sydney’s organic wastes: a spatially-explicit inventory to facilitate urban phosphorus recycling
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Data from: A model to identify urban traffic congestion hotspots in complex networks
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Data from: Impacts of urbanization on insect herbivory and plant defences in oak trees
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Caterpillar survival in the city: Attack rates on model lepidopteran larvae along an urban-rural gradient show no increase in predation with increasing urban intensity (Raw Data)
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Data from: Urban warming reduces aboveground carbon storage
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Data from: Sex in the city: sexual selection and urban colonisation in passerines
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Data from: Nest height is affected by lamppost lighting proximity in addition to nestbox size in urban great tits
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Data from: Accelerated epigenetic age and cognitive decline among urban-dwelling adults
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Data from: Contrasting responses in community structure and phenology of migratory and non-migratory pollinators to urbanization
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Data from: Urbanization and anticoagulant poisons promote immune dysfunction in bobcats
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Data from: The Urban Heat Island and its spatial scale dependent impact on survival and development in butterflies of different thermal sensitivity
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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.
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.