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51 results for “Urban green space”
UGS-1m: Fine-grained urban green space mapping of 34 major cities in China based on the deep learning framework
<p>Urban green space (UGS) is an important component in the urban ecosystem and has great significance to the urban ecological environment. The UGS-1m product provides the fine-grained UGS maps of 34 major cities/areas in China, which is generated based on a deep learning (DL) framework.</p> <p>The DL framework consists of a generator and a discriminator. The generator is a fully convolutional network designed for UGS extraction (UGSNet), which integrates attention mechanisms to improve the discrimination to UGS, and employs a point rending strategy for edge recovery. The discriminator is a fully connected network aiming to deal with the domain shift between images. To support the model training, an urban green space dataset (UGSet) with a total number of 4,454 samples of size 512×512 is provided. Code for the UGSet and the UGSet will be soon available at: https://github.com/liumency/UGS-1m. </p> <p>The main steps to obtain UGS-1m can be summarized as follows: a) Firstly, the UGSNet will be pre-trained on the UGSet in order to get a good starting training point for the generator; b) After pre-training on the UGSet, the discriminator is responsible to adapt the pre-trained UGSNet to different cities/areas through adversarial training; c) Finally, the UGS results of the 34 major cities/areas in China (UGS-1m) are obtained using 2,343 Google Earth images with a data frame of 7'30" in longitude and 5'00" in latitude, and a spatial resolution of nearly 1.1 meters. Evaluating the performance of the proposed approach on samples from Guangzhou city shows the validity of the UGS-1m products, with an overall accuracy of 87.4% and an F1 score of 81.14%. </p>
Informing the design of urban green and blue spaces through an understanding of European's usage and preferences
<p><span>In light of global climate change and the biodiversity crisis, making cities more resilient through an adjusted design of urban green and blue spaces is crucial. Nature-based solutions help address these challenges while providing opportunities for nature experiences, and providing cultural ecosystem services that support public health. The COVID-19 pandemic and its associated stressors highlighted the interrelated socio-ecological services provided by nature-based solutions like urban green and blue spaces. </span><span>This pan-European study therefore aimed to enhance the socio-ecological understanding of green and blue spaces to support their design and management. Using an online survey, green and blue space preferences, usage, and pandemic-related changes in greenspace visit and outdoor recreation frequencies were examined. </span><span>Greenspace visit and outdoor recreation frequencies were associated with respondents' (N=584 from 15 countries) geographic location, dominant type of neighborhood greenspace, and greenspace availability during the pandemic, but not greenspace perceptions or sociodemographic background. </span><span>Greenspace visit and outdoor recreation frequencies were generally high, however Southern Europeans reported lower greenspace visit and outdoor recreation frequencies both before and during the pandemic than Northern Europeans. Many Southern Europeans also reported having few neighborhood greenspaces and low greenspace availability during the pandemic. </span><span>The most common outdoor recreational activity among respondents before the pandemic was walking or running with the most frequently stated purpose of time spent outdoors being restorative in nature (i.e. relaxing or calming down). Most Europeans had positive perceptions of green and blue spaces with preferences for structurally diverse and natural or unmanaged green elements. </span><span>This highlights the importance of accessible green and blue spaces both in everyday life and during times of crisis. Stakeholders, their preferences, and regional and cultural differences should be included in the co-design of urban green and blue spaces to maximize their potential for both people and nature.</span></p>
Genova - Urban green space accessibility and distribution
<p>Results of the evaluation of urban green space accessibility and distribution in Genova.</p>
Eindhoven - Urban green space accessibility and distribution
<p>Results of the evaluation of urban green space accessibility and distribution in Eindhoven.</p>
Ecosystem services, nature preferences, and valuation of urban green and blue spaces - Pre-publication data
<p>Data used in the analysis for the manuscript: "Ecosystem services, nature preferences, and valuation of urban green and blue spaces".</p> <p>The data was collected in a web-based survey of Tel Aviv-Yafo, Israel residents between March 21, 2021 and May 5, 2021. </p>
Evaluating the Impact of Improvements in Urban Green Space on Older Adults' Physical Activity and Wellbeing: a Natural Experimental Study
ClinicalTrials.gov study NCT03575923. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: Complementing urban agriculture and green spaces is important for ecosystem functions and biodiversity in cities: A systematic review and meta-analysis
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Home sweet home: Evaluation of native versus exotic plants as resources for insects in urban green spaces
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Data from: Insectivorous bats respond to vegetation complexity in urban green spaces
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Quantification of faecal glucocorticoid metabolites as a measure of stress in the rock hyrax (Procavia capensis) living in an urban green space
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An experimental test of the impact of avian diversity on attentional benefits and enjoyment of people experiencing urban green-space
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Data from: Mammal diversity and metacommunity dynamics in urban green spaces: implications for urban wildlife conservation
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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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Informing the design of urban green and blue spaces through an understanding of European's usage and preferences
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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
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.
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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.