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802 results for “urban data”

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dryad28/100

Data for: Local contributions to beta-diversity in urban pond networks: implications for biodiversity conservation and management

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publicJan 2022View details →
dryad28/100

Data from: Are British urban foxes (Vulpes vulpes) ‘bold’? The importance of understanding human-wildlife interactions in urban areas

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publicDec 2021View details →
dryad28/100

Data from: What determines how we see nature? Perceptions of naturalness in designed urban green spaces

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publicApr 2019View details →
dryad28/100

Data from: Urban bumblebees are smaller and more phenotypically diverse than their rural counterparts

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publicJun 2019View details →
dryad28/100

Data from: Odour cues influence predation risk at artificial bat roosts in urban bushland

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publicMay 2013View details →
dryad28/100

Data from: Selective disappearance of great tits with short telomeres in urban areas

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publicJul 2017View details →
dryad28/100

Data from: Rapid evolution of ant thermal tolerance across an urban-rural temperature cline

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publicFeb 2017View details →
dryad28/100

Data from: Urban hubs of connectivity: contrasting patterns of gene flow within and among cities in the Western black widow spider

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publicJul 2018View details →
dryad28/100

Data from: Chatty maps: constructing sound maps of urban areas from social media data

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publicFeb 2016View details →
dryad28/100

Data from: Sexual selection reinforces a higher flight endurance in urban damselflies

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publicApr 2017View details →
dryad28/100

Data from: Socioeconomic status effects on health vary between rural and urban Turkana

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publicOct 2021View details →
dryad28/100

Individual variation in tolerance of human activity by urban dark-eyed juncos (Junco hyemalis) 2021 Stansell et al data file

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publicJul 2021View details →
zenodo24/100

Keep it real: Selecting realistic sets of urban green space indicators - Supplementary data

<p>This excel sheet contains, for each of the four studied cities, the conceptual framework that is described in the paper &quot;Keep it real: Selecting realistic sets of urban green space indicators&quot;.</p> <p>Each of the cities first listed all possible indicators that they could think of. Next, they indicated how each of those indicators relates to each of the KPI; i.e. whether the indicator&nbsp;can not at all (0), somewhat (1) or perfectly measure (2) the KPI. Lastly, the city authorities indicated whether the indicators are implemented of not, and scored some measures of indicator quality (relevance, feasibility, clarity, and credibility)</p>

opencc-by-4.0Feb 2020View details →
zenodo24/100

Repository for data used in STOTEN article "Impacts of town characteristics on the changing urban climate in Vantaa"

<p>This dataset contains data used in the Science of The Total Environment journal article &quot;Impacts of town characteristics on the changing urban climate in Vantaa&quot; (https://doi.org/10.1016/j.scitotenv.2020.138471). The dataset includes:</p> <ul> <li>SURFEX air-surface interaction model results</li> <li>Observations from Helsinki-Vantaa airport</li> </ul> <p>SURFEX.zip contains SURFEX outputs used in the results section of the article.</p> <p>Verification_data.zip contains SURFEX outputs and meteorological observations used in the verification section of the article.</p> <p>E104.zip, E106.zip, E204.zip and E206.zip contain full SURFEX outputs for the four experiments conducted: A synthetic reference year representing the climate of the period 1980-2009 with no intervention (E104) and with green intervention (E106) and similarly for 2050s climate (E204 and E206).</p> <p>The STOTEN article&nbsp;&quot;Impacts of town characteristics the changing urban climate in Vantaa&quot; by Olli Saranko, Carl Fortelius, Kirsti Jylh&auml;, Kimmo Ruosteenoja, Erika Brattich, Silvana Di Sabatino and V&auml;in&ouml; Nurmi is provided in pdf-file 1-s2.0-S0048969720319847-main.pdf. The article is published in Science of The Total Environment journal, and is under a Creative Commons license (https://creativecommons.org/licenses/by-nc-nd/4.0/). This version is the pre-proof version.</p>

opencc-ncApr 2020View details →
zenodo24/100

2003 - Joint Urban 2003 - Oklahoma City - DATA -- Indiana University - Grimmond Urban Micromet Group

<p>Indiana University (IUB)/King's College London (KCL)/University of Reading <strong>Gr</strong><strong>immond Urban Micromet Group &nbsp;</strong></p> <p>Year:<strong>2003</strong></p> <p>City: <strong>Oklahoma City</strong> (OKC)</p> <p>Data Levels: multiple</p> <p>Sites: muliple</p> <p>Key Organizations: <strong>Joint Urban 2003</strong></p> <p>Links:</p> <ul> <li>https://zenodo.org/uploads/4244381 -&nbsp; all data</li> <li>https://zenodo.org/records/4244800&nbsp; - &nbsp; 2004_AMS_Grimmond_OKC_JU2003.pdf&nbsp; -- metadata document</li> <li>https://zenodo.org/records/15660006 [ 2003-OKC-FromBenDir.zip]</li> </ul> <p>OKCweb - - gives the details of the data and the sites&nbsp;</p> <p>10.5281/zenodo.4244800</p> <p>&nbsp;</p> <p>Grimmond CSB, HB. Su., B Offerle, B Crawford, S Scott, S Zhong &amp; C Clements 2004: Variability of sensible heat fluxes in a suburban area of Oklahoma City. 84th Annual Meeting AMS, Eighth Symposium on integrated observing &amp; assimilation systems in the atmosphere, oceans &amp; land surface &amp; the Symposium on Planning, Nowcasting, &amp; Forecasting in the Urban Zone. Seattle, January 11-15, 2004. [J7.2] 8pp CD&nbsp;&nbsp;https://ams.confex.com/ams/84Annual/webprogram/Paper67542.html</p> <p>https://ams.confex.com/ams/pdfpapers/67542.pdf</p> <p>This research was supported by DTRA Joint Urban 2003&nbsp;&nbsp;and NSF BCS-0095284. Equipment was provided by Indiana&nbsp;University (Grimmond and Schmid/Grimmond), University of&nbsp;&nbsp;Houston (Zhong) and PNL (Allwine). Sites were provided by&nbsp;Tyler Media, Jim and Nadine Evans, Mary Harrison, South&nbsp;&nbsp;East High School, Oklahoma School District, Cojac Portable&nbsp;Buildings Company, John Griffin. Jim and Nadine Evans and&nbsp;&nbsp;Mary Harrison provided electricity to run the BH, WH, and&nbsp;GR sites. Field assistance was provided by S.B. Kim and&nbsp;&nbsp;S.T.Kim (University of Houston). Jerry Allwine provided&nbsp;significant support for the installation and removal of the instruments on to the TM tower. Joe Shinn and Marty Leach&nbsp;(LLNL) helped secure permission to use many of these sites.</p> <p>&nbsp;</p>

embargoedNov 2020View details →
dryad24/100

Data from: Microbial diversity in the floral nectar of Linaria vulgaris along an urbanization gradient

Background: Microbes are common inhabitants of floral nectar and are capable of influencing plant-pollinator interactions. All studies so far investigated microbial communities in floral nectar in plant populations that were located in natural environments, but nothing is known about these communities in nectar of plants inhabiting urban environments. However, at least some microbes are vectored into floral nectar by pollinators, and because urbanization can have a profound impact on pollinator communities and plant-pollinator interactions, it can be expected that it affects nectar microbes as well. To test this hypothesis, we related microbial diversity in floral nectar to the degree of urbanization in the late-flowering plant Linaria vulgaris. Floral nectar was collected from twenty populations along an urbanization gradient and culturable bacteria and yeasts were isolated and identified by partially sequencing the genes coding for small and large ribosome subunits, respectively. Results: A total of seven yeast and 13 bacterial operational taxonomic units (OTUs) were found at 3 and 1 % sequence dissimilarity cut-offs, respectively. In agreement with previous studies, Metschnikowia reukaufii and M. gruessi were the main yeast constituents of nectar yeast communities, whereas Acinetobacter nectaris and Rosenbergiella epipactidis were the most frequently found bacterial species. Microbial incidence was high and did not change along the investigated urbanization gradient. However, microbial communities showed a nested subset structure, indicating that species-poor communities were a subset of species-rich communities. Conclusions: The level of urbanization was putatively identified as an important driver of nestedness, suggesting that environmental changes related to urbanization may impact microbial communities in floral nectar of plants growing in urban environments.

opencc-zeroDec 2015View details →
dryad24/100

Data from: A worldwide model for boundaries of urban settlements

The shape of urban settlements plays a fundamental role in their sustainable planning. Properly defining the boundaries of cities is challenging and remains an open problem in the science of cities. Here, we propose a worldwide model to define urban settlements beyond their administrative boundaries through a bottom-up approach that takes into account geographical biases intrinsically associated with most societies around the world, and reflected in their different regional growing dynamics. The generality of the model allows one to study the scaling laws of cities at all geographical levels: countries, continents and the entire world. Our definition of cities is robust and holds to one of the most famous results in social sciences: Zipf's law. According to our results, the largest cities in the world are not in line with what was recently reported by the United Nations. For example, we find that the largest city in the world is an agglomeration of several small settlements close to each other, connecting three large settlements: Alexandria, Cairo and Luxor. Our definition of cities opens the doors to the study of the economy of cities in a systematic way independently of arbitrary definitions that employ administrative boundaries.

opencc-zeroDec 2017View details →
zenodo24/100

Data for: "The influence of urban and agricultural landscape context on forest diversity and structure across ecoregions "

<p>This is the data associated with "The influence of urban and agricultural landscape context on forest diversity and structure across ecoregions" by JP Schmit, LR Johnson, M Baker, L Darling, R Fahey, DH Locke, AT Morzillo, NF Sonti, TLE Trammell, MFJ Aronson, and ML Johnson, published in Ecosphere in 2025.</p>

opencc-by-4.0Dec 2023View details →
dryad24/100

Data from: Hierarchical multi-taxa models inform riparian vs. hydrologic restoration of urban streams in a permeable landscape

The degradation of streams caused by urbanization tends to follow predictable patterns; however, there is a growing appreciation for heterogeneity in stream response to urbanization due to the local geoclimatic context. Furthermore, there is building evidence that streams in mildly sloped, permeable landscapes respond uncharacteristically to urban stress calling for a more nuanced approach to restoration. We evaluated the relative influence of local-scale riparian characteristics and catchment-scale imperviousness on the macroinvertebrate assemblages of streams in the flat, permeable urban landscape of Perth, Western Australia. Using a hierarchical multi-taxa model, we predicted the outcomes of stylized stream restoration strategies to increase the riparian integrity at the local scale or decrease the influences of imperviousness at the catchment scale. In the urban streams of Perth, we show that local-scale riparian restoration can influence the structure of macroinvertebrate assemblages to a greater degree than managing the influences of catchment-scale imperviousness. We also observed an interaction between the effect of riparian integrity and imperviousness such that the effect of increased riparian integrity was enhanced at lower levels of catchment imperviousness. This study represents one of few conducted in flat, permeable landscapes and the first aimed at informing urban stream restoration in Perth, adding to the growing appreciation for heterogeneity of the Urban Stream Syndrome and its importance for urban stream restoration.

opencc-zeroDec 2016View details →
zenodo24/100

Examining the distributional equity of urban tree canopy cover and ecosystem services across United States cities - PLOS ONE Data

<p>Shapefile data used in the analysis for each of the 9 cities examined (New York, Philadelphia, Washington, Cleveland, Pittsburgh, Chicago, Los Angeles, San Diego, Sacramento). Datasets provided have been trimmed following the procedures outlined&nbsp;in the Methods and represent the data used in the analysis.</p>

opencc-by-4.0Nov 2019View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record