Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
3,709
datasets available to search
ShareScore release 0.9.0
Dataset results
3,709 results for “urbanization.”
Urban Tree Canopy Cover, environmental and socioeconomic data to São Paulo city, Brazil
<p>Urban Tree Canopy Cover from 2017, elevation and roughness from 2011 and socioeconomic data from 2010, to São Paulo city, Brazil. These data are analyzed in: <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.ufug.2024.128497" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.ufug.2024.128497</a></p>
Linked collectors and determiners for: A new record of Avrainvillea cf. erecta (Berkeley) A. Gepp & E. S. Gepp (Bryopsidales, Chlorophyta) from urbanized estuaries in the Hawaiian Islands.
Natural history specimen data linked to collectors and determiners held within, "A new record of Avrainvillea cf. erecta (Berkeley) A. Gepp & E. S. Gepp (Bryopsidales, Chlorophyta) from urbanized estuaries in the Hawaiian Islands". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/58fffbfe-5b97-4e30-bebc-a7bc4bdc802f">https://bionomia.net/dataset/58fffbfe-5b97-4e30-bebc-a7bc4bdc802f</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/58fffbfe-5b97-4e30-bebc-a7bc4bdc802f">https://gbif.org/dataset/58fffbfe-5b97-4e30-bebc-a7bc4bdc802f</a>. Formatted as a Frictionless Data package.
Data from: Using Landsat time-series to investigate nearly 50 years of tree canopy cover change across an urban-rural landscape in southern Ontario
<p><strong>Paper Abstract:</strong></p> <p>Canadian urban and adjacent landscapes have been dynamic over the last 50 years due to land management, land cover alternations, climate change, and disturbances. Remote sensing, particularly the Landsat archive, provides the only means to spatially quantify these long-term dynamics locally. Here, we explore the utility of Landsat, including the often-forgotten MSS sensor, for investigating percent tree canopy cover (TCC) change between 1972 and 2020 in a Canadian urban-rural context. We build a TCC time-series by training random forest models using visually interpreted TCC from high-resolution imagery. Predictors include topographic and yearly LandsatLinkr-harmonized and LandTrendr-fitted tasseled cap indices. Yearly binary TCC maps are built to mask consistently treeless areas and limit noise. To increase confidence in observed TCC change without historical reference imagery, we investigate multiple temporal validation options. Our TCC time-series (R2: 0.89, RMSE: 10.7%), quantifies TCC dynamics while limiting erroneous change and predictor space extrapolation. We explore TCC changes across landscapes, revealing periods of gain and loss associated with agricultural reforestation (1978-1996), housing development (on-going), drought (late 1990s), emerald ash borer (2010s), an ice storm (2013), and other drivers. Results demonstrate how long-term Landsat time-series can be used to better understand historical tree canopy change at local-regional scales. </p> <p> </p> <p><strong>Dataset details:</strong></p> <p>See paper. </p> <ul> <li>cc_72to20.tif: Yearly tree CC predictions (1972-2020)</li> <li>always_nonforest10_nowater.tif: continuous-non-canopy mask</li> <li>water.tif: water mask</li> <li>Yearly.zip: Annual predictors (including CC10) and asc outputs</li> </ul> <p> </p> <p>See code on GitHub: <a href="https://github.com/ZZMitch/PredictTreeCC_Landsat_1972to2020">ZZMitch/PredictTreeCC_Landsat_1972to2020: Code from the portion of my PhD about using Landsat time-series to predict tree canopy cover from 1972 - 2020. Code will be released as papers are published. (github.com)</a></p>
CHILDHOOD OBESITY IN URBAN AND RURAL INDIA: A SYSTEMATIC REVIEW AND META-ANALYSES OF PREVALENCE STUDIES
<p><strong><span>Background:</span></strong><span> Childhood obesity has become a pressing global public health issue, particularly in low- and middle-income countries like India. This systematic review aims to investigate the prevalence of childhood obesity and its associated risk factors in urban and rural regions of India.</span></p> <p><strong><span>Methods:</span></strong><span> A comprehensive systematic search was conducted in PubMed, Embase, and Scopus databases to identify relevant English-language studies published within the past decade. Inclusion criteria included studies conducted in India, focusing on children and adolescents aged 0-18, and reporting either the prevalence of childhood obesity or related risk factors. Ten studies, comprising both cross-sectional and quantitative research designs, met these criteria.</span></p> <p><strong><span>Results:</span></strong><span> The findings reveal a significant disparity in childhood obesity prevalence between urban and rural areas of India. Urban regions exhibit notably higher rates, with a pooled prevalence estimated at 9.0% (95% CI: 2.0 to 17), compared to 4.0% (95% CI: 4.0 to 5.0) in rural areas. Risk factors associated with childhood obesity in urban settings include unhealthy dietary habits, limited physical activity, higher income levels, parental education, and attendance at private schools. In rural areas, gender, age, and household size emerged as potential risk factors.</span></p> <p><strong><span>Discussion:</span></strong><span> These findings underscore the urgent need for geographically tailored interventions to address the urban-rural disparities in childhood obesity. Lifestyle-oriented strategies promoting healthier dietary patterns and increased physical activity are essential. Gender-inclusive programs targeting both boys and girls are crucial. Future research should consider regional and cultural diversity to design more effective public health responses.</span></p> <p><strong><span>Conclusion:</span></strong><span> This systematic review provides valuable insights into the prevalence and risk factors of childhood obesity in India. It highlights the necessity for customized interventions and lifestyle adjustments to combat this escalating public health challenge and reduce disparities in health outcomes.</span></p>
Urban Flood Inventory in China
<p>This dataset is a catalog of urban floods in China from 2000 to 2022. The data is sourced from Chinese news text, with the BERT model used to extract information on the timing and location of flood events. The temporal scale is daily, with entries showing only the month for cases where specific dates could not be extracted. The spatial scale is at the county level in China. Details of the data collection and creation process are thoroughly explained in the relevant paper. Each year's flood events are stored in a CSV file named after that year, containing the following fields:</p> <ul> <li><strong>Year</strong>: the year the event occurred;</li> <li><strong>PAC</strong>: the administrative code for the county where the event occurred;</li> <li><strong>Province</strong>: the province of the affected area;</li> <li><strong>City</strong>: the city of the affected area;</li> <li><strong>County</strong>: the county where the event occurred;</li> <li><strong>Occurrence</strong>: the number of times floods occurred in that area during the year;</li> <li><strong>Time</strong>: the specific date of each flood event in that area.</li> </ul> <p>The shapefile.zip file, including ".shp," ".shx," ".dbf," and other files, is the shapefile of China's administrative regions used by the author to visualize the data.</p>
Using Rhodamine B to Assess the Movement of Small Mammals in an Urban Slum
<p>Dataset (capture data), and code for analysis in R for the study "Using Rhodamine B to Assess the Movement of Small Mammals in an Urban Slum Using Rhodamine B to Assess the Movement of Small Mammals in an Urban Slum".</p> <p>File "rat.csv" comprises the dataset with only Rhodamine B positive rats captured, with capture distance, sex of the individual, and weight.</p> <p>FIle "ratindiv.csv" comprises the full capture dataset (all rats both positive and negative to Rhodamine B), with the same information collected in "rat.csv".</p>
Fig. 6 in First records of the North American leafhopper Gyponana mali (Hemiptera: Cicadellidae) invading urban gardens and agroecosystems in Europe
Fig. 6. Two collection sites of Gyponana mali DeLong, 1942 in Europe. A – ornamental plants in privately managed urban green in Switzerland (Agno, Ticino) where G. mali was accidentally collected in 2015; B – plants of Cornus sanguinea in a windbreak row (on the right) surrounding a vineyard plot (on the left) in Italy (Gorgo al Monticano, Treviso) where larvae and adults of G. mali were sampled in 2017.
Fig. 5 in First records of the North American leafhopper Gyponana mali (Hemiptera: Cicadellidae) invading urban gardens and agroecosystems in Europe
Fig. 5. Maximum likelihood tree of Gyponana spp. based on mtCOI gene. Bootstrap values are shown if>50. A total of 692 positions were included in the final dataset. The branch marked with "//" was shortened, with the real length of 0.016. Gr. – group. The sequence from the present study (GenBank accession number MH394187.1) is in Gr. 4.
Fig. 4. Gyponana mali DeLong, 1942 in First records of the North American leafhopper Gyponana mali (Hemiptera: Cicadellidae) invading urban gardens and agroecosystems in Europe
Fig. 4. Gyponana mali DeLong, 1942:A – aedeagus, caudal view (reprinted from Hൺආංඅඍඈඇ 1982); B – aedeagus, ventral view (left) and style, lateral view (right; reprinted from DൾLඈඇǤ & F*©ൾඒඍൺǤ 1964).Gyponana extenda DeLong, 1942: C – aedeagus, caudal view and style, lateral view, with structural variation from "s" to "v" form (reprinted from Hൺආංඅඍඈඇ 1982); D – aedeagus, ventral view (left) and style, lateral view (right; reprinted from DൾLඈඇǤ & F*©ൾඒඍൺǤ 1964).
Fig. 3. Gyponana mali DeLong, 1942 in First records of the North American leafhopper Gyponana mali (Hemiptera: Cicadellidae) invading urban gardens and agroecosystems in Europe
Fig. 3. Gyponana mali DeLong, 1942, female (voucher I03/19). A – dorsal view; B – lateral view; C – sternite VII, ventral view; D – first valvula, lateral view; E – first valvula, apical portion; F – second valvula, lateral view; G – second valvula, apical portion. Scale bar 1.0 mm.
Fig. 2. Gyponana mali DeLong, 1942 in First records of the North American leafhopper Gyponana mali (Hemiptera: Cicadellidae) invading urban gardens and agroecosystems in Europe
Fig. 2. Gyponana mali DeLong, 1942, male (voucher I02/19). A – dorsal view; B – lateral view; C – pygofer, valve, subgenital plate, and aedeagus, lateral view; D – pygofer, valve, subgenital plate, and aedeagus, dorsal view; E – styles, connective, and aedeagus, lateral view; F – styles, connective, and aedeagus, dorsal view; G – aedeagus, ventral view. Scale bar 1.0 mm.
Fig. 1 in First records of the North American leafhopper Gyponana mali (Hemiptera: Cicadellidae) invading urban gardens and agroecosystems in Europe
Fig. 1. Currently known distribution of Gyponana mali DeLong, 1942 in Europe. Colored dots represent the habitat type: green – urban green; blue – natural woody area; red – agroecosystem.
Experimental and numerical study of the effect of model geometric distortion on laboratory modelling of urban flooding
<p>The supporting datasets includes: </p> <p>(1) All the figures in the manuscript in .fig format (in case possible)</p> <p>- Figures in main text</p> <p>- Figure in Support Information</p> <p>(2) Datasets for generating the main outcomes of the manuscript</p> <p>- two files that explain detailed data content in three structure</p> <p>- 3 sub-repositories which contains the results for the three models</p> <p>- one repository contains the data for Figure 8</p> <p> </p>
Multi-disciplinary survey data for the assessment of regulating and recreational ecosystem services in urban parks under heat and drought conditions
<p>The research group GreenEquityHEALTH provides quantified knowledge on how urban green spaces contribute to the mitigation of climate change induced challenges and challenges from urbanization to improve health, well-being and environmental justice. The project identifies the mediating pathways or direct effects of divers urban green spaces that act to either promote health, encourage healthy behaviours like social interaction or physical activity, or to decrease risk factors such as air pollution or urban heat.</p> <p>Here we present core data of our interdisciplinary multi-method campaigns that included in-situ stationary and aerial (remote sensing-based) environmental measurements, mobile air quality measurements, and social science-informed surveys, namely, park vistor observations and countings and a questionnaire survey.</p> <p><strong>List of data and content</strong></p> <ul> <li>Aarial_survey: digital surface model, orthophoto and thermal infrared images as raster files (*.tif); flight and processing report (*.pdf)</li> <li>Air_quality: stationary PM measurement data (*.csv); coordinates (*.txt)</li> <li>Meteorology: stationary air temperature and humidity data (*.csv), sensor meta data (*.csv)</li> <li>ParkVisitor_Surveys: survey data and questionnaire replies (*.csv), survey sheets (*.docx), questionnaire form (*.pdf)</li> </ul> <p><strong>Data acquisition and processing</strong></p> <p>For details on the data (e.g. sensors, calibration, survey settings) please refer to the linked publication, incl. Supplementary Material.</p> <p><strong>Acknowledgments</strong><br> We would like to thank the City of Leipzig, Department for Urban Green and Waters, for supporting the project. We would like to thank Henrique Miguel Pereira (Head of Research Group Biodiversity Conservation of the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig) for providing equipment for the meteorological field campaigns. We also thank Anhalt University of Applied Sciences, Institute of Geoinformation and Surveying with Lutz Bannehr for conducting the airborne campaigns, Marco Pohle and Helko Kotas (both Helmholtz Centre for Environmental Research - UFZ) for technical support, and Judith Rakowski for support during the field surveys. This work was carried out within the research project ‘Environmental-health Interactions in Cities<br> (GreenEquityHEALTH) – Challenges for Human Wellbeing under Global Changes’ (2017 to 2022) funded by the German Federal Ministry of Education and Research (BMBF), funding code: 01LN1705A.</p> <p><strong>Related publication</strong><br> Kabisch, N. et al. (2021). A methodological framework for the assessment of regulating and recreational ecosystem services in urban parks under heat and drought conditions. <em>Ecosystems and People</em>. <a href="https://doi.org/10.1080/26395916.2021.1958062">doi:10.1080/26395916.2021.1958062</a></p>
Global Hierarchical Urban Boundaries (GHUB)
<p>Global Hierarchical Urban Boundaries (GHUB) vector Database 2018.</p> <p>GeoPackage (gpkg) format.</p> <p>Please cite the following article when using this data,</p> <p>Xu, Z., Jiao, L., Lan, T., Zhou, Z., Cui, H., Li, C., Xu, G., & Liu, Y. (2021). Mapping hierarchical urban boundaries for global urban settlements. <em>International Journal of Applied Earth Observation and Geoinformation</em>, <em>103</em>, 102480. https://doi.org/10.1016/j.jag.2021.102480</p> <p> </p>
Wildlife gardening: an urban nexus of social and ecological relationships
<p>Data and R script codes to conduct analysis for:</p> <p>Wildlife gardening: an urban nexus of social and ecological relationships</p> <p>Laura Mumaw and Luis Mata</p> <p>https://ecoevorxiv.org/9rkhm/</p> <p><strong>Abstract</strong></p> <p>Biodiversity in urban environments continues to decline, alongside diminution of human connections with nature and community. An integrated ethic and practice of caring for one’s human and ecological community could help address these issues. Here, we describe how wildlife gardening can be such a pathway. We snapshot related social dynamics and human wellbeing benefits, highlighting a case study that reveals an array of connections and wellbeing facets from wildlife gardening, and their relationship with number of activities and time spent in the garden. We outline how positive biodiversity outcomes can be attained through habitat improvement in gardens. We describe how integration of nature and human community stewardship can work across physical and political boundaries when government and communities work collaboratively. We argue that wildlife gardening carried out in this manner can involve urban residents in crafting and enacting an intertwined ethic and practice of caring for nature and humanity.</p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
Invasion success and tolerance to urbanization in birds
<p>Cities are considered hotspot of biological invasions, yet it remains unclear why non-indigenous species are so successful in environments that most local native species do not tolerate. Here, we explore the intriguing possibility that humans may be unintentionally introducing species preadapted to persist in such environments. Combining data on historical introductions with information of avian assemblages along urban-wildland gradients, we found that avian species that in their native range proliferate in human-altered environments have been more likely to be transported and introduced to new locations than species confined to the wildland. We also found that such urban dwellers had higher chances to become established because they already had adaptations to cope with novel environments. These findings suggest that the pathway of introduction selects for species preadapted to persist in novel environments, providing an explanation for why non-indigenous birds are so successful in cities. Because the tendency to introduce species associated with human-altered environments continues, there is an urgent need to develop new regulations to prevent future introductions.</p>
Supporting dataset for "Influence of urban forms on -long-duration urban flooding: laboratory experiments and computational analysis"
<p>In this dataset, we provide two parts of data:</p> <p>(1) Figures in format .fig that are included in the main text and supplementary material</p> <p>(2) Experimental datasets for the five configurations, including flow depth, discharge partition, and the flow surface velocity,</p> <p>- the data is written in a .h5 file that can be read by different languages (ex. Python),</p> <p>- a document PDF and a text file are available to visualize the data structure</p> <p>- a code of Python for reading the data in the .h5 file </p> <p> </p>
Fig. 5 in Barn Swallows Hirundo rustica in Peninsular Malaysia: urban winter roost counts after 50 years, and dietary segregation from house-farmed swiftlets Aerodramus sp.
Fig. 5. Diet distribution of swallows and house-farmed swiftlets at Bentong identified by NGS molecular analysis.
Fig. 1 in Barn Swallows Hirundo rustica in Peninsular Malaysia: urban winter roost counts after 50 years, and dietary segregation from house-farmed swiftlets Aerodramus sp.
Fig. 1. (Left) Map of Peninsular Malaysia, with an enlarged plan of Pahang State; the circle indicates the study area, Bentong District. (Right) Google view of Bentong municipality, showing old town centre (red) and suburbs where house-farmed swiftlet colonies (blue) were counted.
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.