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3,709 results for “urbanization.”
Heat Stress Exposure Maps - Urban Planning Scenario 2026 - 2045: Almada, Portugal
<p><strong>Almada heat stress exposure map: average number of heatwave days per year versus socio economic data - urban planning scenario (2026-2045)</strong></p> <p>Heat stress exposure maps for the city of Almada representing the average number of heatwave days per year versus socio economic data per statistical unit. The average number of heatwave days per year has been modeled over the reference period 2026-2045 using the present land use / cover situation for the city but combined with urban planning projects information until 2030. Hence, the urban morphology has been updated accordingly.</p> <p>Exposure mapping variable include:<br /> * Total population 2011<br /> * Population density inhabitants per hectare 2011</p>
Urban area age and coefficient of variation of spatial area extent
<p>The dataset contains an proxy for the age of urban area and the coefficient of variation of its spatial extent as proxy for spatial dynamics. Both variables are studied as key to conceptualize the process of urbanization by means of clusters of local spatial autocorrelation. The analysis is based on the HYDE 3.1 database, cf. Klein Goldewijk et al. (2010), Klein Goldewijk et al. (2011).</p>
Figure 7. from Inventory of the Heteroptera (Insecta: Hemiptera) in Komaba Campus of the University of Tokyo, a highly urbanized area in Japan - Biodiversity Data Journal 3: e4981 (24 April 2015) https://doi.org/10.3897/BDJ.3.e4981
Figure 7. - Cluster analysis of Heteroptera assemblages in Komaba Campus and the six reference sites based on Jaccard distances.
Figure 2. from Inventory of the Heteroptera (Insecta: Hemiptera) in Komaba Campus of the University of Tokyo, a highly urbanized area in Japan - Biodiversity Data Journal 3: e4981 (24 April 2015) https://doi.org/10.3897/BDJ.3.e4981
Figure 2. - The aerial photograph of the Komaba Campus (taken in 2009 by the Geospatial Information Authority of Japan).
Data for "Fractal analysis of urban catchments and their representation in semi-distributed models: imperviousness and sewer system"
<p>The data set corresponds the data used in the paper : “Fractal analysis of urban catchments and their representation in semi-distributed models: imperviousness and sewer system”, published in 2017 in the Journal “Hydrology and Earth System Sciences” (http://www.hydrol-earth-syst-sci.net/).</p> <p>More precisely it corresponds to the matrices that are used in the fractal and multi-fractal analysis of the ten urban areas investigated in the paper.</p> <p> </p> <p>For each catchment, it is organised as follow:</p> <p>- catchment_name_conduit.asc : the matrix describing the sewer system.</p> <p>- catchment_name_OSM.asc : the matrix describing the impervious areas (roads and buildings) obtained via Open Street Map (www.openstreetmap.org)</p> <p>- catchment_name_OSM_house_only.asc : the matrix describing the “building” areas obtained via Open Street Map (www.openstreetmap.org)</p> <p>- catchment_name_imperviousness.asc : the matrix describing the representation of imperviousness in operational semi-distributed models.</p> <p> </p> <p>More details can be found in the paper.</p>
Integrative assessment of climate change-related impacts and risks on urban land
<p>Shapefile data set estimating trends of mean annual terrestrial surface air temperature (°C) and mean annual total precipitation (mm) and several heat indicators for urban land, characterised by clusters of local spatial autocorrelation in regard to the age of urban area and the coefficient of variation of urban area extent over time.</p>
Patterns of Etruscan urbanism (dataset and R scripts)
<p>The present digital archive is the outcome of the paper: <strong>Stoddart, S., Palmisano, A.,Redhouse, D.I., Barker, G., di Paola, G., Motta, L., Rasmussen, T., Samuels, T., and Witcher, R., 2020. <a href="https://doi.org/10.3389/fdigh.2020.00001">Patterns of Etruscan urbanism.</a> </strong><em>Frontiers in Digital Humanities</em>, <em>7 </em>(1).<strong> </strong></p> <p>The dataset included here provides a collection of archaeological sites dating from the ninth to the fifth century BC, uncovered by systematic field survey carried out in central Italy (Tuscany and Lazio). In addition, the digital archive related to this paper provides reproducible analyses in the form of six scripts written in R statistical computing language. The present repository contains also a R Markdwon tutorial to drive step by step any practitioner interested in running some analytical tools to assess regional centralisation and settlement hierarchies: site-size histograms, rank-size graphs, A-coefficient, and B-coefficient.</p> <p> </p> <p>List of versions:</p> <ul> <li><strong>3.0 </strong>15 April 2025 - Entails revising the R scripts to replace the deprecated 'rgdal' package with the 'sf' package.</li> <li><strong>2.0.</strong> 31 March 2020 — Includes a few minor error corrections (the files 'Tutorial.RMD' and 'Tutorial.html').</li> <li><strong>1.0</strong> 31 March 2020 — First public release of the dataset on Zenodo.</li> </ul> <p> </p>
Wind tunnel measurements of concentration and velocity in urban geometries with trees
<p><span>This dataset contains concentration and velocity mesurements performed in the aerodynamic wind tunnel of the Ecole Centrale de Lyon (France). <br>An idealized urban district was simulated by an array of blocks, and two rows of model trees were arranged inside a street. <br>Reduced scale trees were chosen to mimic a realistic shape and aerodynamic behaviour.<br>Three different spacings between the trees were considered: "zero" (no trees), "half" (14 cm distance between the tree trunks) and "full" (7 cm distance between the tree trunks).</span></p> <p><span>The dataset includes: <strong> </strong></span></p> <ul> <li><span>concentration and velocity measurements performed within a street canyon, under various geometries and wind directions; </span></li> <li><span>the characterization of the boundary layer above the buildings;</span></li> <li><span>the characterization of the tree drag.</span></li> </ul> <p><span>The detailed description of the dataset is contained in the document <code>Info_dataset.pdf</code></span></p> <p> </p> <p> </p>
THESIS Tools Datasets: Urban Properties Tool
NCAR is coordinating the development of the Toolbox for Human-Earth System Integration and Scaling (THESIS) to facilitate linkages between the Community Earth System Model (CESM) and Integrated Assessment or impact models. THESIS consists of models and software tools to translate, scale, and synthesize information from and between human system models and CESM. Code and documentation for the Urban Properties Tool is currently hosted on github: https://github.com/NCAR/THESISUrbanPropertiesTool
WRF-Chem output- concentrations for the 4 simulations: reference, urbanization, extension of agricultural areas and more urban parks
<p>We use the WRF-Chem air-quality model with an urban canopy scheme to investigate how land use (urban, agriculture, parks) affects the urban climate and chemical processes (dry deposition, biogenic emissions), resulting in changes in air quality for scenarios proposed by the Urban Master Plan of the Metropolitan Area of Barcelona. We selected a heatwave period, 4th-7th July 2015, with maximum temperatures reaching 40 °C in the interior of the AMB and 35 °C on the coast. Here we provide averaged model output for the heatwave period for the different pollutants, surface temperature, wind speed, PBLH, deposition, and biogenic emissions under different urban scenarios: reference (REF), urbanization (URB), extension of agriculture (AGR), and increase in urban parks (PARK).<br><br>The results for a period before the heatwave (1-3 July 2015), with temperatures 3-4 degrees lower than during the heatwave, are also provided. <br><br>Land-use and irrigation is also provided for each scenaio. </p>
Rapid evolution and local adaptation of urban aphids
<p>Publication in preparation: R Scripts and data for analyses and results of an aphid common garden experiment conducted in summer 2019 in Berlin, Germany. This repository is a work in progress.</p>
Effect sizes of divergence in urban noise and song minimum frequency of grey-cheeked fulvettas Alcippe morrisonia morrisonia
<p><span>Noise pollution, one of the most prominent features of urbanization, is an important factor influencing the vocal behavior of urban wildlife. Studies have reported that many songbirds raise their song minimum frequencies in response to urban noise. It has been proposed that this increased minimum frequency (IMF) of songs is an adaptation that allows urban populations to cope with the masking effect of noise pollution. However, urban populations of some songbirds do not exhibit significant IMF compared with nonurban populations; thus, the notion that IMF is an adaptation to urban noise has been questioned. Furthermore, the effects of IMF might be influenced by both noise levels and the acoustic structures of songs. Here, we employed dichotomous and gradient effect size approaches to investigate IMF regarding two distinct acoustic structures (whistled and harmonic) in songs of six grey-cheeked fulvetta (</span><em><span>Alcippe morrisonia morrisonia</span></em><span>)</span><span> populations in Taiwan, three with high noise pollution and three with low noise pollution. We found that when using the dichotomous approach, </span><span>paired populations with significant divergence in noise levels exhibited weak or insignificant divergence in the minimum frequencies for both whistled and harmonic phrases</span><span>. In contrast, we found that when using the gradient approach, the effect size of noise-level divergence was strongly correlated with the effect size of divergence in the minimum frequency of the harmonic phrase and only moderately correlated with the effect size of divergence in the minimum frequency of the whistled phrase. These findings suggest that noise pollution has a more pronounced effect on the divergence in the minimum frequency of harmonic phrases used in short-range communication compared to the whistled phrases used in long-range communication. We conclude that for population comparisons on the IMF, adopting a gradient approach could provide insights into the impact of noise pollution on the acoustic structures of songs across various communication ranges.</span></p>
Figure 4 in Butterflies (Lepidoptera: Papilionoidea) of the urban park of Instituto Butantan, São Paulo, Southeastern Brazil
Figure 4. Seasonal variation in the number of species per family in each month in the butterfly community of Instituto Butantan. Regions with colored symbols represent wet (blue cloud) and dry (brown leaf) season.
Figure 3 in Butterflies (Lepidoptera: Papilionoidea) of the urban park of Instituto Butantan, São Paulo, Southeastern Brazil
Figure 3. Some of the species of butterflies found in the park of Instituto Butantan, São Paulo, Brazil. Hesperiidae: (A) Pythonides lancea, (B) Calpodes esperi, (C) Urbanus belli, (D) Cobalus virbius. Lycaenidae: (E) Elkalyce cogina, (F) Arawacus meliboeus. Riodinidae: (G) Euselasia zara, (H) Chadia cadytis. Nymphalidae:(I) Consul fabius, (J) Eunica margarita, (K) Heliconius sara apseudes, (L) Hypanartia lethe, (M) Carminda paeon, (N) Mechanitis lysimnia, (O) Marpesia petreus, (P) Adelpha zea. Pieridae: (Q) Melete lycimnia paulista, (R) Dismorphia amphione astynome, (S) Phoebis philea. Papilionidae: (T) Parides agavus. Photos: Aline Vieira-Silva, Gustavo M. Accacio and Gabriel Banov.
Figure 2 in Butterflies (Lepidoptera: Papilionoidea) of the urban park of Instituto Butantan, São Paulo, Southeastern Brazil
Figure 2. Species accumulation curve (black) and first order Jackknife estimator curve (gray) for butterfly species recorded in Instituto Butantan, São Paulo, Brazil, from August 2017 to July 2019. The dotted lines represent standard deviations.
Figure 1 in Butterflies (Lepidoptera: Papilionoidea) of the urban park of Instituto Butantan, São Paulo, Southeastern Brazil
Figure 1. Map of the municipality of São Paulo, Brazil (A) showing the expanded center of the city (light gray). Park of Instituto Butantan (B), with the transect used to record the butterfly′s species highlighted in red.
Data: Greater local cooling effects of trees across globally distributed urban green spaces
<p>The dataset used for hierarchical linear mixed effects models in the R code during the study. </p><p>The description of the column names is provided in the readme file.</p>
Model simulations utilizing the latest urban underlying surface and anthropogenic heat data
<p>Based on numerical simulations utilizing the latest urban underlying surface and anthropogenic heat data over the Yangtze River Delta urban agglomeration, we find that LU change and AH emission can result in opposite effects on summer precipitation. The related model simulations are included in this dataset.</p>
Dataset from publication "Predicting context-sensitive urban green space quality to support urban green infrastructure planning"
<p><strong>Data Description:</strong></p><p>This dataset presents the spatial outcome of an analysis modelling perceived green space quality across the city of Espoo, Finland. The analysis relies on data gathered through the My Espoo on the Map survey (<i>Mun Espoo kartalla</i>) in the autumn of 2020 as part of the NordForsk-funded research project NORDGREEN. A comprehensive account of the analytical process and potential applications of the dataset is available in the associated publication, "<i>Predicting context-sensitive urban green space quality to support urban green infrastructure planning</i>" (open access: <a href="https://doi.org/10.1016/j.landurbplan.2023.104952">https://doi.org/10.1016/j.landurbplan.2023.104952</a>).</p><p><strong>Data Processing:</strong></p><p>This dataset results from an analysis that integrates both primary and secondary sources of geospatial data. The primary data were collected with an online public participation GIS (PPGIS) survey directed for the adult inhabitants of Espoo. The data collection took place in September-October 2020 and was executed in collaboration with Aalto University and the City of Espoo. For a detailed overview of the data collection process, please refer to the related publication.</p><p><strong>Data characteristics:</strong></p><p>Format: Shapefile (50m x 50m grid)</p><p>Geographical area: Espoo, Finland</p><p>Spatial reference: EUREF FIN TM35FIN</p><p>Note: Only grid cells intersecting with greenspace have been included in the dataset. For the employed definition of green areas, please consult the related publication.</p><p><strong>Data attributes and their descriptions:</strong></p><p><strong>"</strong><i>P_PROB"</i>: Probability (P), positive perceived quality</p><p><i>"N_PROB"</i>: Probability (P), negative perceived quality</p><p><strong>Funding: </strong></p><p>This research was funded by NordForsk, Sustainable Urban Development and Smart Cities Programme, Project Smart Planning for Healthy and Green and Nordic Cities – NORDGREEN, under Grant Number: 95322.</p>
Data from: Nine-banded Armadillo (Dasypus novemcinctus) occupancy and density across an urban to rural gradient
<p>The nine-banded Armadillo (<em>Dasypus novemcinctus</em>) is the only species of Armadillo in the United States and alters ecosystems by excavating extensive burrows used by many other wildlife species. Relatively little is known about its habitat use or population densities, particularly in developed areas, which may be key to facilitating its range expansion. We evaluated Armadillo occupancy and density in relation to anthropogenic and landcover variables in the Ozark Mountains of Arkansas along an urban to rural gradient. Armadillo detection probability was best predicted by temperature (positively) and precipitation (negatively). Contrary to expectations, occupancy probability of Armadillos was best predicted by slope (negatively) and elevation (positively) rather than any landcover or anthropogenic variables. Armadillo density varied considerably between sites (ranging from a mean of 4.88 – 46.20 Armadillos per km<sup>2</sup>) but was not associated with any environmental or anthropogenic variables.</p>
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.