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3,709 results for “urbanization.”
Machine Learning Framework for High-Resolution Air Temperature Downscaling Using LiDAR-Derived Urban Morphological Features
<p>This dataset supports the study titled <em>"Machine Learning Framework for High-Resolution Air Temperature Downscaling Using LiDAR-Derived Urban Morphological Features"</em>, published in <em>Urban Climate</em> (<a href="https://doi.org/10.1016/j.uclim.2024.102102" target="_new" rel="noopener">DOI: 10.1016/j.uclim.2024.102102</a>).</p> <p> </p> <p><strong>Content Overview:</strong></p> <ul> <li> <p><strong>Building Label Data for Footprint Detection</strong>:</p> <ul> <li><em>Amsterdam_BDG_Label.rar</em></li> <li><em>MiamiDade_BDG_Label.rar</em></li> </ul> <p>These are the label datasets used for training the building detection segmentation models. They have been instrumental in accurately detecting building footprints in Amsterdam.</p> </li> <li> <p><strong>Amsterdam_3D_Buildings.rar</strong>: CityGML file of 3D building models for Amsterdam, derived from LiDAR data and U-Net3+ model.</p> </li> </ul> <ul> <li> <p><strong>Morphological Features.rar</strong>: Contains urban morphological features (in raster format) extracted from LiDAR data used in the study.</p> </li> <li> <p><strong>Training and Test Data for Air Temperature Estimation</strong>:</p> <ul> <li><em>Train_Test_AvgTemp_Amsterdam.rar</em></li> <li><em>Train_Test_MaxTemp_Amsterdam.rar</em></li> <li><em>Train_Test_MinTemp_Amsterdam.rar</em></li> </ul> <p>This dataset includes training and testing data for estimating air temperatures in three scenarios: average daily temperature, minimum daily temperature, and maximum daily temperature for the city of Amsterdam.</p> </li> </ul>
Fig. 2 in Gastro-intestinal parasites of urban rhesus macaques (Macaca mulatta) in the Kathmandu Valley, Nepal
Fig. 2. Prevalence of gastro-intestinal parasites in the rhesus macaques of Kathmandu Valley.
Fig. 4 in Gastro-intestinal parasites of urban rhesus macaques (Macaca mulatta) in the Kathmandu Valley, Nepal
Fig. 4. Location-wise richness of parasitic infection in rhesus macaques of the Kathmandu Valley.
Fig. 5 in Gastro-intestinal parasites of urban rhesus macaques (Macaca mulatta) in the Kathmandu Valley, Nepal
Fig. 5. Species Richness of GI parasite infection in rhesus macaques of the Kathmandu Valley.
Figure 2 in Plant diversity and conservation value of wetlands along a rural-urban gradient
Figure 2. NMDS ordination for the average cover-abundance per transect per site of all species.
FIGURE 1 in Urban market amplifies strong species selectivity in Amazonian artisanal fisheries
FIGURE 1 | Map of the study area.
Metal(loid)s in urban soil from historical municipal solid waste landfill: Geochemistry, source apportionment, bioaccessibility testing and human health risks - Supplementary data
<p>This is a supplementary dataset to the paper:</p> <p>Hiller E., Faragó T., Kolesár M., Filová L., Mihaljevič M., Jurovič L., Demko R., Mchlica A., Štefánek J., Vítková M. (2024): Metal(loid)s in urban soil from historical municipal solid waste landfill: Geochemistry, source apportionment, bioaccessibility and human health risks. <em>Chemosphere</em> <strong>362</strong>, 142677. DOI: 10.1016/j.chemosphere.2024.142677</p> <p>This research was supported by the Johannes Amos Comenius Programme (OP JAC), project No. CZ.02.01.01/00/22_008/0004605, Natural and anthropogenic georisks. The dataset is published under the Creative Commons Attribution 4.0 International License (CC-BY-4.0). This license allows others to distribute, remix, adapt, and build upon the dataset for any purpose, even commercially, as long as they give appropriate credit to the original creator(s).</p>
Figure 3. A in Prevalence of intestinal nematodes infection in school children of urban areas of district Lower Dir, Pakistan
Figure 3. A. lumbricoides fertile egg.
Figure 2. A in Prevalence of intestinal nematodes infection in school children of urban areas of district Lower Dir, Pakistan
Figure 2. A. lumbricoides unfertile egg.
Figure 6 in Prevalence of intestinal nematodes infection in school children of urban areas of district Lower Dir, Pakistan
Figure 6. Trichuris trichiura.
Figure 5 in Prevalence of intestinal nematodes infection in school children of urban areas of district Lower Dir, Pakistan
Figure 5. Trichuris trichiura.
Data and Models for Salt Transport in Desert, Urban, and Irrigated Landscapes
<p>Folders contain data and models (SWAT, SWAT-MODFLOW) for analysis and modeling of salt fate and transport in urban, desert, and irrigated landscapes. Study regions include the Arkansas River Basin and the South Platte River Basin (Colorado, USA). The Education folder contains documentation of a STEM kit created at Colorado State University for guiding middle school and high school students through a 2-hour lab on salt pollution, transport, and mitigation in a mixed irrigation-desert watershed landscape.</p>
Dataset for evaluating rooftop photovoltaic solar panels impact on urban temperature at city scale
<p>This dataset contains simulation outputs from the WRF/BEP+BEM v4.3.3 model, evaluating the impact of rooftop photovoltaic solar panels on urban temperatures in five cities: Kolkata, Austin, Sydney, Athens, and Brussels. The model uses one parent domain and two nested domains with resolutions of 18 km, 6 km, and 2 km, focusing on the 2 km resolution. Simulations cover the summer periods of each city, including panel surface temperature and urban state variables data. The dataset represents diverse climate types: tropical wet and dry (Kolkata), Mediterranean (Athens), moderate oceanic<em> </em>(Brussels), and subtropical humid (Sydney and Austin).</p>
Permeable pavement hydraulic performance and clogging experiments using a full-scale urban drainage physical model
<p>This dataset contains the results from 15 tests conducted used a physical model in the Hydraulic Laboratory of the Centre for Technological Innovation in Construction and Civil Engineering (CITEEC) at the University of A Coruña (Spain) as part of the POREDRAIN project.</p> <p><br>The objective of the tests is to analyse the hydraulic performance of a porous asphalt layer of the PA-16 type and the impact of clogging on the hydrological behaviour and water quality of the effluent. The porous asphalt was used to retrofit an impervious concrete surface of a 36 m² full-scale street section physical model, which consist of a rainfall simulator placed over the street surface. The behaviour of the porous asphalt layer was assessed by adding surface sediment loads between simulated rainfall events. Stormwater flow discharges were collected from two gully pots and an outlet lateral channel. </p>
Egypt villages & urban neighbourhoods shapefile - 1996 census
<p>This geographical dataset consists of a series of four shapefiles. The main one, EGY_SEC, provides the delineation for the villages (Yahya), cities (Madina), and neighbourhoods (Shiyakha) of Egypt's larger towns. This shapefile comprises 5410 geocoded geographical units linked with the 1996 census data.</p> <p>The EGY_SEC geographical layer of Egypt's smallest administrative units has been sourced from various paper map series (notably Egyptian administrative military maps and the 1/25.000 series). The layer is georeferenced using Egypt's datum (Egypt 1907 / Blue Belt).</p> <p>The previous work of Sylvie Fanchette<sup>1</sup> on the Nile Delta population mapping has been instrumental in the making of this geodataset.</p> <p>It was created in the frame of the programme EGIPTE “Explorations Géographiques Informatisées de la Population et du Territoire de l’Égypte » funded by CNRS from 2004 to 2006 (PIR-Ville). It was coordinated by François Moriconi and Eric Denis with the support of Hala Bayoumi and Ahmed Wagih, and hosted during the 1990s’ by the CEDEJ in Cairo.</p> <p>An updated version of this map is used and can be viewed on the join website: <a href="https://www.cedejcapmas.org">https://www.cedejcapmas.org</a></p> <p> </p> <p>The other 3 shapefiles are:</p> <p>NILE for the Nile River layer</p> <p>EGYPT for the governorate/muhafaza level layer</p> <p>EGYPT_GOV for the district-level layer</p> <p> </p> <p>The dataset is notably in the special issue of the Journal <em>Geocarrefour (Revue de Géographie de Lyon),</em> vol. 73, n°3, 1998 titled Géographie sociale de l'Egypte.</p> <p>See also: </p> <p><a href="https://www.jstor.org/stable/44381341">Denis, E. (1998). Croissance urbaine et dynamique socio-spatiale Le Caire de 1950 à 1990. <em>L'espace géographique</em>, 129-142.</a></p> <p>Denis, É., & Moriconi-Ébrard, F. (1998). La population de l'Egypte 1897-1996. <em>L'information Géographique</em>, <em>62</em>(1), 12-23.</p> <p> </p> <p> </p> <p>1. S. Fanchette. 1997. <em>Le delta du Nil. Densités de population et urbanisation des campagnes</em>. Fascicule de Recherches n°32. Urbama-Orstom. Tours. 389 p.</p>
Data for Urban Seismic Source Mapping
<p>In this study, we explore the innovative use of existing and ubiquitous urban infrastructure--telecommunication optical fibers--to map urban seismic sources. We integrate seismic interferometry and beamforming algorithms to overcome the proximity limitations of previous urban seismology approaches. <br>Our method models the propagation of seismic surface waves to estimate the spatio-temporal distribution of seismic source power (SSP; average seismic energy per unit of time), enabling the detection and localization of urban seismic sources occurring remotely from optical fibers.</p> <p><code>Put these pickle files into '/urban_das/data/das_data/' and run the scripts at https://github.com/jingxiaoliu/urban_das</code></p> <p>If you use this implementation, please cite our papers:</p> <blockquote> <p>[1] Liu, J., Li, H., Noh, H. Y., Santi, P., Biondi, B., & Ratti, C. (2025). Urban sensing using existing fiber-optic networks. <em>Nature Communications</em>, <em>16</em>(1), 3091.</p> <p>[2] Yuan, S., Liu, J., Noh, H. Y., Clapp, R., & Biondi, B. (2024). Using vehicle‐induced DAS signals for near‐surface characterization with high spatiotemporal resolution. <em>Journal of Geophysical Research: Solid Earth</em>, <em>129</em>(4), e2023JB028033.</p> <p>[3] Liu, J., Yuan, S., Dong, Y., Biondi, B., & Noh, H. Y. (2023). TelecomTM: A fine-grained and ubiquitous traffic monitoring system using pre-existing telecommunication fiber-optic cables as sensors. <em>Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies</em>, <em>7</em>(2), 1-24.</p> </blockquote>
Replication materials for "Regional Warming from Urbanization is Disproportionate to Urban Expansion Rate"
<p>The datasets are replication materials for the research "Regional Warming from Urbanization is Disproportionate to Urban Expansion Rate". They show simulated global near-surface air temperature (TSA), specific humidity (Q2M), sensible heat flux (FSH), and latent heat flux (LHFLX) during the warm season over 50 years for four experiments: URB1985, URB2018, URB2018_0, and URB2018_×2. </p>
Data related to Mapping user-related comfort conditions to identify urban planning issues for improved quality of places in cities: The case of Ljubljana, Slovenia
<p>The data consists of parameters including air temperature, noise levels, humidity, and air quality (PM 2.5), measured using a portable ICT device while cycling through the city of Ljubljana between August 1 and August 30, 2022. The data is available as raw CSV files, with each measurement session stored in a separate file. An additional QGIS Project file (qgz) is included, along with maps (in jpg format in ppt) that visually represent the results presented in the article.</p>
Resources for studying the aesthetic and diversity values of plants and pets in shaping biodiversity loss belief among urban residents
<p><span>Considering the issues of data transparency and the cost of reproduction, all data and code snippets of the study titled "From beauty to belief: The aesthetic and diversity values of plants and pets in shaping biodiversity loss belief among urban residents" are deposited here.</span></p>
The accelerating loss of resilience in suburban woodlands can largely be attributed to changes in urban precipitation patterns
<p><span>Vegetation resilience holds significant importance for stabilizing ecosystem service functions in a changing climate. While global land surface vegetation resilience changes have been extensively studied, the impact of urbanization on the resilience of suburban woodlands remains inadequately understood.</span> <span>In this study, we utilized two Critical Slowing Down (CSD) indicators, namely lag-one autocorrelation (LOA) and variance (VA), to assess the vegetation resilience, its long-term trends, and influencing factors in suburban woodlands across 1,356 cities worldwide. The recovery rates estimated by LOA (r<sub>r1</sub>) and VA (r<sub>r2</sub>) showed close alignment in suburban woodlands with low suburban forest coverage (SFC) areas (correlation coefficient (r)=0.95). However, a notable divergence was observed in areas with high SFC (r=0.73). Suburban woodlands with high SFC typically exhibited lower recovery rate estimates, thus indicating greater vegetation resilience compared to areas with lower SFC. From 1986 to 2022, the recovery rates of suburban woodland areas in over 83% of the cities demonstrated a significant upward trend, with an average of 3.23×10<sup>−3</sup> yr<sup>−1</sup> for both r<sub>r1</sub> and r<sub>r2</sub>, signifying a widespread decline in vegetation resilience. The accelerating pace of urbanization led to higher rising rates of r<sub>r1</sub> and r<sub>r2</sub> during 2010-2022 (5.11×10<sup>−3</sup> yr<sup>−1</sup>) compared to 1986-1999 (0.49×10<sup>−3</sup> yr<sup>−1</sup>). The notable decrease in resilience of forestland was primarily attributed to reduced precipitation in urban suburbs, which can be explained by urbanization-induced heat island and building barrier effects, causing a shift of precipitation center from urban suburbs to central cities. In summary, this study revealed that urbanization diminishes the vegetation resilience of urban suburban woodlands by altering urban precipitation patterns. These findings underscore the necessity of augmenting water availability in urban suburbs to restore resilience in these woodlands, thereby enhancing their ecosystem service value.</span></p>
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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.
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.