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70 results for “Urban spaces”
Data from: Mammal diversity and metacommunity dynamics in urban green spaces: implications for urban wildlife conservation
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Data from: Predicting the effect of urban noise on the active space of avian vocal signals
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Data from: Increasing biodiversity in urban green spaces through simple vegetation interventions
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Data from: Quantifying urban ecosystem services based on high-resolution data of urban green space: an assessment for Rotterdam, the Netherlands
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Sown wildflower meadows: Can they replace natural meadows in urban spaces for bees, butterflies, and hoverflies?
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Data from: Sex-specific morphological shifts across space and time in replicate urban wall lizard introductions
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Informing the design of urban green and blue spaces through an understanding of European's usage and preferences
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Dataset for "Space use by animals on the urban fringe: interactive effects of sex and personality"
<p>Personality traits shape individual perceptions of risks and rewards, and so, should affect how animals value and use their environment. Evidence is emerging that personality affects foraging, space use and exploitation of novel environments such as urban habitat. But the influence of personality is also hypothesized to be sex-dependent when primary motivation for space use differs between sexes, as often occurs in polygynous species. We tested the influence of personality traits, interacting with sex, on space use by the polygynous common brushtail possum, <i>Trichosurus vulpecula</i>, in an urban-woodland boundary in Sydney, Australia. We quantified personality traits, including exploration, using behavioural assays in an artificial arena. We also GPS-tracked free-ranging individuals, and measured range size, core area: home range, and proportional urban range. We found that personality traits affected space use either as a main effect or, as predicted, an interaction with sex. More exploratory animals, regardless of sex, had higher core area: home range ratios and proportionally larger ranges within urban habitat. However, less exploratory females yet more exploratory males had larger ranges. Our findings provide new insight into movement ecology by demonstrating, for the first time, the sex-dependent influence of personality. The demonstrated influence of personality on urban use by possums also suggests a personality filter for wildlife, as populations transition into urban areas. Finally, as individuals at the interface between urban and natural habitat are also a conduit between the two, a corollary of our findings is that there may be personality-mediated spread of disease across this boundary.</p>
Impacts of irrigation scheduling on urban green space cooling
<p>This record contains the microclimate and soil moisture data from a field experiment that investigated the impacts of irrigation scheduling on urban green space irrigation in Melbourne, Australia.</p>
Supplementary material 6 from: Stanley CH, Hecht R, Cakir S, Brzoska P (2022) Approach to user group-specific assessment of urban green spaces for a more equitable supply exemplified by the elderly population. One Ecosystem 7: e83325. https://doi.org/10.3897/oneeco.7.e83325
Supplementary material 6
Supplementary material 5 from: Stanley CH, Hecht R, Cakir S, Brzoska P (2022) Approach to user group-specific assessment of urban green spaces for a more equitable supply exemplified by the elderly population. One Ecosystem 7: e83325. https://doi.org/10.3897/oneeco.7.e83325
Supplementary material 5
Supplementary material 9 from: Stanley CH, Hecht R, Cakir S, Brzoska P (2022) Approach to user group-specific assessment of urban green spaces for a more equitable supply exemplified by the elderly population. One Ecosystem 7: e83325. https://doi.org/10.3897/oneeco.7.e83325
Supplementary material 9
Supplementary material 2 from: Stanley CH, Hecht R, Cakir S, Brzoska P (2022) Approach to user group-specific assessment of urban green spaces for a more equitable supply exemplified by the elderly population. One Ecosystem 7: e83325. https://doi.org/10.3897/oneeco.7.e83325
Supplementary material 2
Supplementary material 4 from: Stanley CH, Hecht R, Cakir S, Brzoska P (2022) Approach to user group-specific assessment of urban green spaces for a more equitable supply exemplified by the elderly population. One Ecosystem 7: e83325. https://doi.org/10.3897/oneeco.7.e83325
Supplementary material 4
Supplementary material 8 from: Stanley CH, Hecht R, Cakir S, Brzoska P (2022) Approach to user group-specific assessment of urban green spaces for a more equitable supply exemplified by the elderly population. One Ecosystem 7: e83325. https://doi.org/10.3897/oneeco.7.e83325
Supplementary material 8
Supplementary material 1 from: Stanley CH, Hecht R, Cakir S, Brzoska P (2022) Approach to user group-specific assessment of urban green spaces for a more equitable supply exemplified by the elderly population. One Ecosystem 7: e83325. https://doi.org/10.3897/oneeco.7.e83325
Supplementary material 1
Supplementary material 3 from: Stanley CH, Hecht R, Cakir S, Brzoska P (2022) Approach to user group-specific assessment of urban green spaces for a more equitable supply exemplified by the elderly population. One Ecosystem 7: e83325. https://doi.org/10.3897/oneeco.7.e83325
Supplementary material 3
Supplementary material 7 from: Stanley CH, Hecht R, Cakir S, Brzoska P (2022) Approach to user group-specific assessment of urban green spaces for a more equitable supply exemplified by the elderly population. One Ecosystem 7: e83325. https://doi.org/10.3897/oneeco.7.e83325
Supplementary material 7
The boreal soil microbiome of different urban green spaces
<p>This study describes the soil microbiome in relation to the aboveground plant diversity of three types of urban green spaces: built green spaces with sown lawns, planted trees and ornamental flowerbeds, open green spaces such as meadows and pastures, and urban forests. </p> <p>Data includes information on study sites, soil physio-chemical properties, vegetation, and soil microbiome: Plot information, Soil properties, Vegetation, Meta includes column information in sheets plot and soil. In vegetation sheet column names are species. Explanations for species name abbreviations can be found in sheet meta2. Micoboal commnity composition and taxonomy in Bacteria_nmds and Fungi_nmds. </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>
ScienceDex guides
Understand access before you commit
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.