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Dataset results
30 results for “wildlife urbanization”
Human recreation impacts seasonal activity and occupancy of American black bears (Ursus americanus) across the urban-wildlife interface
<p>The datasets used for all analyses throughout the study that are downloaded from the Yooper Wildlife Watch Project found on Zooniverse. </p>
Humanization of wildlife gut microbiota in urban environments
<p>Urbanization is rapidly altering Earth's environments, demanding investigations of the impacts on resident wildlife. Here, we show that urban populations of coyotes (Canis latrans) and crested anole lizards (Anolis cristatellus) acquire gut microbiota constituents found in humans, including the gut bacterial lineages most significantly associated with urbanization in humans (e.g., Bacteroides). Comparisons of urban and rural wildlife and human populations revealed significant convergence of the gut microbiota among urban host populations. Remarkably, all microbial lineages found in humans that were overrepresented in urban wildlife relative to rural wildlife were also overrepresented in urban humans relative to rural humans. These results indicate parallel effects of urbanization on human and wildlife gut microbiota and suggest spillover of bacteria from humans into wildlife in cities</p>
Emergency-line calls as an indicator to assess human-wildlife interaction in urban areas
<p><span>Human-wildlife interactions (HWI) are increasingly common as human disturbance and development continue to remove wildlife habitats. Documenting HWIs is critical for management agencies to develop strategies and management decisions that meet the needs of both people and wildlife. However, evaluating the frequency and types of HWI at broad spatial scales (e.g., national or regional level) can be costly and difficult to implement by managers. In this study, we apply a novel method for evaluating the patterns of HWI in urban areas using publicly available data from emergency calls placed by inhabitants of Romania's >300 urban areas. We used information from 4,601 emergency calls (Romanian National Emergency Call System 112), consisting of (1) wildlife species, (2) spatial location, (3) date and time, and (4) a short description of the emergency. Out of the 318 analyzed cities, 300 cities documented emergency calls on HWI between 2015–20120, with roe deer and brown bear as the most frequent species. There was an increasing trend in HWI-related emergency calls in 73% of the urban areas. We mapped the large-scale distribution of HWI by species and type of interactions, capturing variations at the national level, and further, we analyze social and biophysical factors influencing the occurrence and frequency of HWI. The results showed that social factors have the same positive or negative effect on all species, while the effect of the biophysical factors varied between species. Particularly, the presence of large natural habitats, represented by forests, influenced the number of calls only for brown bears. Seminatural landscapes with agricultural land have a different influence in terms of effect and significance for the considered species. Our results suggest that publicly available data from emergency calls can be used for the rapid assessment of HWI and for evaluating trends and predictors of HWI at broad spatial scales.</span></p>
Data from: Mammal diversity and metacommunity dynamics in urban green spaces: implications for urban wildlife conservation
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Humanization of wildlife gut microbiota in urban environments
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Emergency-line calls as an indicator to assess human-wildlife interaction in urban areas
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Camera-traps and the city: spatiotemporal adaptations of wildlife to urban environments
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Wealth, water and wildlife: landscape aridity intensifies the urban Luxury Effect - data used in meta-analysis
<p>The available Excel file contains all data used in the meta-analysis to analyse the Luxury Effect (i.e. the relationship between urban biodiversity and socioeconomic status) and its moderators (wealth status, species provenance and precipitation). Each column in the data set (tab ‘Data’) is defined as follows:</p> <p><strong>Location</strong>: Location (e.g. city) where a given study took place. If more than one geographical location was considered, they are detailed in the column 'Sample'</p> <p><strong>Sample: </strong>Any separate samples based either on location or temporal sampling period (e.g. geographical location, habitat types, different years) considered in a given paper. If the column is blank, only one location or period was considered.</p> <p><strong>Biodiversity measure: </strong>Defined into either diversity or abundance measures as defined in the text.</p> <p><strong>Response variable: </strong>The precise response variable analysed in the paper.</p> <p><strong>Socioeconomic variable: </strong>The socioeconomic variable analysed in the paper.</p> <p><strong>Provenance: </strong>Native or exotic species, where specified. 'All' refers both to papers where it was explicitly stated that both native and exotic species were considered, and those where no information was given, but we assumed that native and exotic species had been considered.</p> <p><strong>Development status: </strong>Countries with developed economies ('Rich') and countries with developing economies 'Poor') as defined in the text.</p> <p><strong>Gradient length: </strong>Studies including only urbanized areas ('Short') and those also including rural sampling locations ('Long').</p> <p><strong>Precipitation: </strong>in mm.</p> <p><strong>Pearson's r: </strong>Standardized values used in the meta-analysis.</p> <p> </p> <p>Note the above information is also available in the Excel file in the ‘Notes’ tab. </p> <p> </p>
Data from: Are British urban foxes (Vulpes vulpes) 'bold'? The importance of understanding human-wildlife interactions in urban areas
<p>Urban fox behaviour recorded during an extensive field experiment in Bristol, UK. We examined two different but inter-related behaviours, both of which influence a fox's propensity to take risks. Neophobia affects a fox's reaction to novelty in the environment, and wariness its reaction to potential threats. We investigated how social status and foraging social context influenced both behaviours in Bristol's fox population. For further information please see Padovani <em>et al.</em> 2021.</p> <p> </p>
Data from: Are British urban foxes (Vulpes vulpes) ‘bold’? The importance of understanding human-wildlife interactions in urban areas
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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.