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3,709 results for “urbanization.”
CFD Modeling Results and Related Data and Codes for Plotting of "A Mesoscale-to-LES Modeling of Tornado-like Vortex and Associated Local Strong Winds in Urban Area"
<p>The CFD modeling outputs, derived maximum wind fields in the analysis area, the topography data, the Python codes used to produce the figures, as we as the namelist of WRF simulation are available. The CFD modeling outputs are in binary format. The ctl. files of corresponding binary data (or dataset if ordered chronologically) are available in each directory (named after each experiment in our study).</p>
Data from: Adaptive trait divergence of annual plants in response to urban habitat diversity in a megacity
<p>Data from the common garden experiment, field environmental factors, and data for Qst-Fst comparisons.</p>
Long-term climate trends and urbanization reveal human impacts and decoupling of dissolved organic carbon quantity and composition in streams
<p>This repository contains data, R code, graphical objects, and outputs in Kelley et al. (2025) entitled <strong><span lang="EN-US">Climate Change and Urbanization Decouple Dissolved Organic Carbon Quantity and Composition in Streams</span></strong><span lang="EN-US"> accepted for publication in <em>Global Biogeochemical Cycles</em></span><span lang="EN-US">. </span><a href="https://doi.org/10.1029/2025GB008534">https://doi.org/10.1029/2025GB008534</a></p> <p><span lang="EN-US">In this finalized repository, we provide a detailed meta data file (1_repository_meta_data.xlsx) containing lists and descriptions of all data files, variables, figures, and scripts within.</span> Note that previous versions contained water quality parameters for forms of nitrogen and phosphorus, which have been removed from this final version. These parameters were neither used in any analyses in this work nor underwent QA/QC protocols; thus, we suggest caution in their use from previous versions.</p> <p>Additionally, this repository contains a publication license for a graphical object created using the BioRender platform.</p>
Potential impacts of future warming and land use changes on intra-urban heat exposure in Houston Texas
<p>Extreme heat events in the United States are projected to become more frequent and intense as a result of climate change. We investigated the individual and combined effects of land use and warming on the spatial and temporal distribution of daily minimum temperature (T<sub>min</sub>) and daily maximum heat index (HI<sub>max</sub>) during summer in Houston, Texas. Present-day (2010) and near-future (2040) parcel-level land use scenarios were embedded within 1-km resolution land surface model (LSM) simulations. For each land use scenario, LSM simulations were conducted for climatic scenarios representative of both the present-day and near-future periods. LSM simulations assuming present-day climate but 2040 land use patterns led to spatially heterogeneous temperature changes characterized by warmer conditions over most areas, with summer average increases of up to 1.5°C (T<sub>min</sub>) and 7.3°C (HI<sub>max</sub>) in some newly developed suburban areas compared to simulations using 2010 land use patterns. LSM simulations assuming present-day land use but a 1°C temperature increase above the urban canopy (consistent with warming projections for 2040) yielded more spatially homogeneous metropolitan-wide average increases of about 1°C (T<sub>min</sub>) and 2.5°C (HI<sub>max</sub>), respectively. LSM simulations assuming both land use and warming for 2040 led to summer average increases of up to 2.5°C (T<sub>min</sub>) and 8.3°C (HI<sub>max</sub>), with the largest increases in areas projected to be converted to residential, industrial and mixed-use types. Our results suggest that urbanization and climate change may significantly increase the average number of summer days that exceed current threshold temperatures for initiating a heat advisory for metropolitan Houston, potentially increasing population exposure to extreme heat.</p>
Habitat fragmentation through urbanization selects for low dispersal in an ant species
<p>Datasets for the paper published in Oikos entitled "Habitat fragmentation through urbanization selects for low dispersal in an ant species"</p><p>Visual_data_table.xlsx: Visual table of the data (not used for the analysis)<br>Script_<i>R.r, </i>data_<i>R.xlsx, </i>Var_sites_R.xlsx: script and data used for the analysis</p>
Fig. 1 in What's Under a Plastic Strip? Hidden Urban Biodiversity in the Beijing Metropolitan Area, China
Fig. 1. Seasonal activity dynamics of adult Dorytomus setosus (a) and Dorytomus roelofsi (b) collected in bandshelter trap on willows in Cuihu Wetland Park, Beijing, China.
Data from: Bee species richness through time in an urbanizing landscape of the southeastern USA
<p>Authors: Selina A. Ruzi, Elsa Youngsteadt, April Hamblin Cherveny, Jessica Kettenbach, Hannah K. Levenson, Danesha Seth Carley, Jaime A. Collazo, and Rebecca E. Irwin</p><p>*Corresponding author: Selina A. Ruzi, <a href="mailto:sruzi24@gmail.com">sruzi24@gmail.com</a></p><p>Abstract: Compared to non-urban environments, cities host ecological communities with altered taxonomic diversity and functional trait composition. However, we know little about how these urban changes take shape over time. Using historical bee (Apoidea: Anthophila) museum specimens supplemented with online repositories and researcher collections, we investigated whether bee species richness tracked urban and human population growth over the past 118 years. We also determined which species were no longer collected, whether those species shared certain traits, and if collector behavior changed over time. We focused on Wake County, North Carolina, USA where human population size has increased over 16 times over the last century along with the urban area within its largest city, Raleigh, which has increased over four times. We estimated bee species richness with occupancy models, and rarefaction and extrapolation curves to account for imperfect detection and sample coverage. To determine if bee traits correlated with when species were collected, we compiled information on native status, nesting habits, diet breadth, and sociality. We used non-metric multidimensional scaling to determine if individual collectors contributed different bee assemblages over time. In total, there were 328 species collected in Wake County. We found that although bee species richness varied, there was no clear trend in bee species richness over time. However, recent collections (since 2003) were missing 195 species, and there was a shift in trait composition, particularly lost species were below-ground nesters. The top collectors in the dataset differed in how often they collected bee species, but this was not consistent between historic and contemporary time periods; some contemporary collectors grouped closer together than others, potentially due to focusing on urban habitats. Use of historical collections and complimentary analyses can fill knowledge gaps to help understand temporal patterns of species richness in taxonomic groups that may not have planned long-term data.</p><p> </p><p>Usage notes: To access the R project, please go to https://github.com/sruzi24/Ruzi_etal_temporal_bee_richness</p>
Event-based vision datasets for pedestrian detection in urban scenarios
<p>Datasets supporting the Spiking Perception and processing for Intelligent Detection of pEdestrians on urban Roads (SPIDER) Project. The codebase is available on Gihub at <a href="https://github.com/th-nuernberg/spider">https://github.com/th-nuernberg/spider</a>.<br><br>In Project SPIDER, we propose a novel solution for urban road surveillance using event-based neuromorphic cameras (i.e. Dynamic Vision Sensors – DVS), neural algorithms, and embedded neuromorphic computing platforms (i.e. Brainchip Akida). The solution is described by rapid detection and identification of abnormal activities, typically describing roadside pedestrian and bicyclist dynamics.<br><br>In order to train the detection system, we decided to use DVS camera events. To also obtain ground truth information we added a traditional CMOS camera on the mount with a preset offset capturing the same field of view. The CMOS frames were only used as support in the labeling process and were not included in the training of the system, the testing, or the evaluation, respectively. We have chosen two locations with different properties of the road, the number of pedestrians and bicyclists, and overall different traffic properties. </p><p><strong>The SPIDER project is an award-winning edge solution for the </strong><a href="https://www.tinyml.org/event/tinyml-hackathon-2023-pedestrian-detection/"><strong>TinyML Vision Zero San Jose Hackathon</strong></a><strong>. The project placed 2nd among 29 teams in the world in the final. The final pitch is available at </strong><a href="https://www.youtube.com/watch?v=ZhBCtfalcOk&t=2872s">https://www.youtube.com/watch?v=ZhBCtfalcOk&t=2872s</a></p><p> </p><p><i>Dataset archive content:</i></p><p> </p><p><strong>Dataset location 1</strong></p><p>• 4 lanes (4 per direction) wide street</p><p>• Location: https://goo.gl/maps/JaYGwaTaBHj5H6SL9</p><p>• 50 kmh (urban) speed limit</p><p>• Near the university campus with Pedestrians (people walking) and bicyclists (people biking, scooting, rolling, etc.)</p><p>• Ideal Operating Environment<br> </p><p><br><strong>Dataset location 2</strong></p><p>• 8 lanes (4 per direction) wide street</p><p>• Location: https://goo.gl/maps/jar6AjysZiM2LP5S7</p><p>• 50 kmh (urban) speed limit</p><p>• Near the main train stations of the city and a location with Pedestrians (people walking, running, or jogging), and cyclists (people biking, scooting, rolling, etc.)<br><br> </p><p><strong>Dataset location 3</strong></p><p>• 6 lanes (3 per direction) wide street on the bridge</p><p>• Location: https://goo.gl/maps/SEEsmpgmLPcD8fG7A</p><p>• 50 kmh (urban) speed limit</p><p>• Near ring street of Munich and a location with Pedestrians (people walking, running, or jogging) and bicyclists (people biking, scooting, rolling, etc.)</p><p>• Night-time data acquisition <br><br> </p>
Replication package for: "Heat and observed economic activity in the rich urban tropics"
<p>The data and code shared here pertain to an article that is forthcoming in the Economic Journal. Please consult the README file herein for details.</p>
Survey, waiver, and data evaluating human-nature connection in urban parks
<p>Human-nature connection (HNC) is a concept derived from investigating the formulation and extent of an individual's identification with the natural world. This relationship is often characterized as an emotional bond to nature that develops from the contextualized, physical interactions of an individual, beginning in childhood. This outcome presents complexity in evaluating the development of HNC but suggests optimism in the pathways for enhancing lifelong HNC.</p> <p>As urban populations increase, there is a growing recognition worldwide of the potential for urban green space to cultivate HNC and thus shape the environmental identity of urban residents.</p> <p>The results of an online survey of 560 visitors to three community parks (managed primarily to provide a variety of physical, social and cultural opportunities) and three conservation parks (managed primarily to protect native plants and wildlife) in Madison, Wisconsin, USA, were used to investigate HNC.</p> <p>Linear mixed effects models evaluated visitors' HNC as a function of their (1) literacy and sentiment about wildlife species, (2) park experience, (3) number and frequency of nine childhood and adult recreation experiences, and (4) demographics.</p> <p>Across the park response groups, the number and frequency of childhood and adult recreation experiences was significantly associated with HNC, and this positive association persisted in multiple recreation activities. Furthermore, species literacy and sentiment, visiting a park for 'Nature', and frequent and extended visitation also was significantly associated with HNC by park type.</p> <p>Our research demonstrates the importance of lifelong recreation experiences in the development and enhancement of HNC and provides evidence for differences in the expression of HNC associated with particular attributes of urban park visitors and their views of wildlife.</p>
Open urban mmWave radar and camera vehicle classification dataset for traffic monitoring
<h2><strong>Open urban mmWave radar and camera vehicle classification dataset for traffic monitoring</strong></h2><h3><strong>Description</strong></h3><p>The archive contains a dataset that can be used for multi-sensor-based vehicle detection/classification. Each part of the dataset is divided into four separate subfolders. All the footage was collected from different parts of Tallinn during the late winter and early spring. The dataset contains 8393 frames. Each frame comes with a corresponding annotation in XML and YOLO formats and a JSON file containing mmWave radar point cloud data. </p>
Urban socioecological conflicts in the metro-areas of the Valley of Mexico, Guadalajara and Monterrey, Mexico.
<p>Database of urban socioecological conflicts in the metro-areas of the Valley of Mexico, Guadalajara and Monterrey. Supplementary material of the paper entitled "", published at the J<i>ournal of Political Ecology</i>. Vol. 30. DOI: 10.2458/jpe.5221</p>
Project J6 - Planning for Urban Freight: Putting it into Practice
<p>This document accompanies the Southeastern Transportation Research, Innovation, Development, and Education Center (STRIDE) Report number J6: <i>Planning for Urban Freight: Putting it into Practice</i>. Fulfilment of the project requirements requires that the data used be made publicly available through the Zenodo platform. Since this report details dissemination efforts to planning practitioners of prior STRIDE-funded research, the data for the report consists of the journal articles produced through those efforts. Therefore, the sources used to create these dissemination materials are listed below in fulfilment of the data sharing requirement.</p>
Fig. 3 in Influence of urban noise in call traits of the Atlantic Forest treefrog Bokermannohyla hylax
Fig. 3. Parameters of individuals' advertisement calls in both sampling sites close to (lighter colors) and far (darker colors) from the boulevard. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Influence of urban noise in call traits of the Atlantic Forest treefrog Bokermannohyla hylax
Fig. 1. Collecting sites of Bokermannohyla hylax in S˜ao Paulo, Brazil, with the distances from collecting sites to boulevard and city houses.
Fig. 2 in Influence of urban noise in call traits of the Atlantic Forest treefrog Bokermannohyla hylax
Fig. 2. Mean frequency spectrum of Bokermannohyla hylax advertisement call in both sites and average urban noise close (blue line) to and far (pink line) from the boulevard (frequency sampling 22.05 kHz, window length 1024 points). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
SNR and RSSI from an urban LoRa Network
<p>The dataset contains various SNR and RSSI reading from a LoRa Network in the city of Portland, Maine. The dataset consists in a single sheet file, where each row corresponds to a specific LoRa node. Note that: i) the first row corresponds to the LoRa Gateway; ii) each row contains information over the node ID, its coordinates, the packet frequency, bandwidth, , Transmission Power, Spreading Factor, Coding Rate, SNR and RSSI.</p>
Dataset on Scenarios for Urban Emissions and LUE with Increments of Global Warming
<p>This dataset supports the original research article on “<strong>Framework for comparing urban emissions and land use efficiency scenarios to avoid increments of global warming</strong>” (Kılkış, forthcoming). <br><br>A total of 28 datasheets are involved in this dataset that is organised into four main domains as follows: </p> <ol> <li>The first domain with 3 datasheets contains urban emissions data for three urban emissions scenarios (SSP1-1.9, SSP1-2.6, and SSP1-RE) on an annual basis. The data is summed to obtain cumulative urban emissions between 2020 and 2050 per urban area for 465 urban areas.</li> <li>The second domain with 9 datasheets provides the quantification of the original parameter on contributions to increments of global warming based on cumulative urban emissions data for three urban emissions scenarios (SSP1-1.9, SSP1-2.6, and SSP1-RE) between 2020 and 2050. The best estimate of the transient climate response to cumulative carbon dioxide (CO<sub>2</sub>) emissions (TCRE) and its 5-95th percentile range are considered within the quantifications of this analysis.</li> <li>The third domain with 4 datasheets has the annual CO<sub>2</sub> sequestration penalties of four land use efficiency scenarios (LUE 5%, LUE 15%, LUE Av, and LUE Best). Data is summed for cumulative CO<sub>2</sub> sequestration penalties between 2020 and 2050 per urban area for 135 urban areas.</li> <li>The fourth domain with 12 datasheets contains the quantification of the original parameter on contributions to increments of global warming based on CO<sub>2</sub> sequestration penalties for four land use efficiency scenarios (LUE 5%, LUE 15%, LUE Av, and LUE Best) between 2020 and 2050. The analysis is based on the best estimate of TCRE as well as its 5-95th percentile range.</li> </ol> <p>The data structure is described in the information sheet and the 28 datasheets contain 292,100 cells in total. The method and results that utilise the data are described in the original article submitted to <em>Energy</em>. The dataset of this research article should be cited as: Kılkış (2023), Dataset on Scenarios for Urban Emissions and LUE with Increments of Global Warming (v1.0.0). Zenodo. <a href="https://doi.org/10.5281/zenodo.10407848">https://doi.org/10.5281/zenodo.10407848</a></p>
Effects of artificial light at night on urban and rural spiny toads Bufo spinosus
<p>The dataset contains the results from several experiments on the response to artificial light at night of adult males of spiny toads (Bufo spinosus). Toads originated from 3 rural sites and 3 rural sites in western France. The tests were carried out in March and April 2023.</p> <ol> <li>Exploration behaviour in testing arena</li> <li>Sensitivity to glare in testing arena</li> <li>Crossing of light obstacle (light strip in a dark testing corridor)</li> <li>Pupillary light reflex</li> <li>Change in body weight between the start and the end of the experiment</li> </ol>
Urban Sculpture Durango MX
Escultura urbana en Alameda. Durango México Source: Objaverse 1.0 / Sketchfab
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.