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.”
Toxicogenomic analysis of rural and urban air particles
GEO Series GSE53522. Danio rerio. 20 samples. Type: Expression profiling by array.
Field application of de novo transcriptomic analysis to evaluate the effects of sublethal freshwater salinization on Gasterosteus aculeatus in urban streams
GEO Series GSE254383. Gasterosteus aculeatus. 9 samples. Type: Expression profiling by high throughput sequencing.
Inflammatory Epithelial and Macrophage Pathways Underlie Residual Asthma Exacerbations in Urban Children Treated with Mepolizumab
GEO Series GSE292059. Homo sapiens. 965 samples. Type: Expression profiling by high throughput sequencing.
Urban Particles increased Streptococcus pneumonaie colonization to human middle ear epithelia cells
GEO Series GSE138091. Homo sapiens. 4 samples. Type: Expression profiling by array.
Urban waterways microbial communities (Affymetrix)
GEO Series GSE64368. Bacteria; mixed sample. 23 samples. Type: Genome variation profiling by array.
The contribution of stress-tolerant endosymbiotic dinoflagellate Durusdinium to Pocillopora acuta survival in a highly urbanized reef system
<p><strong>Online Resource 1</strong> BLAST results for <em>cp23S </em>Symbiodineaceae sequences.</p> <p>Online Resource 2 BLAST results for <em>ITS2 </em>Symbiodineaceae sequences.</p> <p><strong>Online Resource 3 </strong>Summary of EDGE analysis showing DETs across genotypes and treatment comparisons with corresponding fold change values, FDR and protein matches.</p> <p><strong>Online Resource 4 </strong>Summary of DEGs across genotypes and treatment comparisons with corresponding fold change values.</p>
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 "Keep it real: Selecting realistic sets of urban green space indicators".</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 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>
TAU Urban Acoustic Scenes 2020 3Class, Development dataset
<p>TAU Urban Acoustic Scenes 2020 3Class development dataset consists of 10-seconds audio segments from 10 acoustic scenes grouped into <strong>three major classes</strong> as follows:</p> <ul> <li>Indoor scenes - <em>indoor</em>: airport, indoor shopping mall, and metro station</li> <li>Outdoor scenes - <em>outdoor</em>: pedestrian street, public square, street with medium level of traffic, and urban park</li> <li>Transportation related scenes - <em>transportation</em>: travelling by a bus, travelling by a tram, travelling by an underground metro</li> </ul> <p>The dataset contains in total 40 hours of audio.</p>
A hybrid model for fast and probabilistic urban pluvial flood prediction - dataset
<p>A hybrid model for fast and probabilistic urban pluvial flood prediction - dataset </p> <p>This dataset presents the data used in the paper "A hybrid model for fast and probabilistic urban pluvial flood prediction". Data used to build, calibrate and evaluate the model and data that support the findings of the study are given for two cases, namely Gent and Antwerp. </p> <p>Under the folder of each case, one could find the following content:</p> <ul> <li>Model building: Data used to build the model topology. It includes geo-data of the 1D sewer network, boundary conditions of the catchment and spatial rainfall configurations </li> <li>Calibration: Rainfall data and flood records data used for calibration of the model.</li> <li>Results and evaluation: Rainfall events used for evaluation, flood probability predicted by the hybrid models and flood records used for comparing with the hybrid models. </li> </ul>
Responses of urban reef corals during the 2016 mass bleaching event
<p>Datasets and R scripts</p> <p>60Taxa.csv : 60 species with 5 or more colonies over study duration, and documented in all monitoring periods<br> SGBleachAllSites.csv : Survey data of all coral species for all time points and locations, showing respective colour scores, live area and GMD of each colony<br> SGBleachChronogram.tre : Phylogenetic tree for 60 species extracted from Kitahara et al. (2016)<br> SGBleachCode.R : R script for analysing bleaching prevalence, susceptibility and resilience<br> SGBleachJun2016.csv : Bleaching prevalence of all sites in June 2016<br> SGBleachModel.csv : Bleaching Index and traits of the 60 species; analysed for susceptibility and resilience</p>
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 "Impacts of town characteristics on the changing urban climate in Vantaa" (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 "Impacts of town characteristics the changing urban climate in Vantaa" by Olli Saranko, Carl Fortelius, Kirsti Jylhä, Kimmo Ruosteenoja, Erika Brattich, Silvana Di Sabatino and Väinö 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>
Figure 1 from: Lapin K, Bindewald A, Kraxner F, Marinšek A, La Porta N, Hazarika R, Chakraborty D, Oettel J, Berger F, Detry P, Kolesaric G, Baric D, Abluton S, Ulrici G, Georges I, Schweinzer KM, Schüler S (2020) A transnational cooperation for sustainable use and management of non-native trees in urban, peri-urban and forest ecosystems in the Alpine region (ALPTREES). Research Ideas and Outcomes 6: e53038. https://doi.org/10.3897/rio.6.e53038
Figure 1 ALPTREES Regions.
TAU Urban Acoustic Scenes 2020 3Class, Evaluation dataset
<p>TAU Urban Acoustic Scenes 2020 3Class development dataset consists of 10-seconds audio segments from 10 acoustic scenes grouped into <strong>three major classes</strong> as follows:</p> <ul> <li>Indoor scenes - <em>indoor</em>: airport, indoor shopping mall, and metro station</li> <li>Outdoor scenes - <em>outdoor</em>: pedestrian street, public square, street with medium level of traffic, and urban park</li> <li>Transportation related scenes - <em>transportation</em>: travelling by a bus, travelling by a tram, travelling by an underground metro</li> </ul>
Evaluation of optical particulate matter sensors under realistic conditions of strong and mild urban pollution
<p>In this paper we evaluate characteristics of three optical particulate matter sensors/sizers (OPS): high-end spectrometer 11-D (Grimm, Germany), low-cost sensor OPC-N2 (Alphasense, United Kingdom) and in-house developed MAQS which is based on another low-cost sensor - PMS5003 (Plantower, China), under realistic conditions of strong and mild urban pollution. Results were compared against a reference gravimetric system, based on Gemini (Dadolab, Italy), 2.3 m3/h air sampler, with two channels (simultaneously measuring PM2.5 and PM10 concentrations). The measurements were performed in Sarajevo, the capital of Bosnia-Herzegovina, from December 2019 until May 2020. This interval is divided into period 1 - strong pollution (December 2019 - March 2020) and period 2 - mild pollution (March 2020 - May 2020). The city of Sarajevo is one of the most polluted cities in Europe in terms of aerosols: the average concentration of PM2.5 during the period 1 was 83 ug/m3, with daily aveverage values exceeding 500 ug/m3. During period 2, the average concentration of PM2.5 was 20 ug/m3. These conditions represent a good opportunity to<br> test optical devices against reference instrument in a wide range of ambient particulate matter (PM) concentrations. The effect of an in-house developed diffusion dryer for 11-D is discussed as well. In order to analyze the mass distribution of aerosols, a scanning mobility particle sizer (SMPS) spectrometer, which together with the 11-D spectrometer gives the full spectrum from nanoparticles of diameter 10 nm to coarse particles of diameter 35 um, was used. All tested devices showed excellent correlation with the reference instrument in period 1, with R^2 values between 0.90 and 0.99 for daily average PM concentrations. However, in period 2, where the range of concentrations was much narrower, R^2 values decreased significantly, to values from 0.28 to 0.92. We have also included results of a 13.5 month long-term comparison of our MAQS sensor with a nearby beta attenuation monitor (BAM) 1020 (Met One Instruments, USA) operated by the United States Environmental Protection Agency (US EPA), which showed similar correlation and no observable change of performance over time.</p> <p>This dataset contains:<br> 1. preliminary.csv - hourly average PM2.5 and PM10 values for 8 MAQS sensors during the preliminary test period<br> 2. meteo.csv - ambient air temperature and relative humidity, hourly average values<br> 3. PM_reference_timeseries.csv - timeseries of data from reference air sampler, including PM2.5, PM10, average air temperature, average air pressure, actual air volume and mass difference (loaded-blank) of each filter<br> 4. main.csv - comparisons of 11-D, OPC-N2 and MAQS sensor against the reference during the campaign<br> 5. dryer_effect.csv - hourly average data of ambient air vs 11-D internal, temperature and relative humidity. Dryer was installed on 03/12/2020 15:30<br> 6. SMPS.zip (4 files) - wide-range spectrometer (SMPS with 11-D) csv files for density plots: time, Log(Dp) and concentration values (both absolute and normalized), based on hourly average data<br> 7. histograms.zip (8 files) - selected wide-range histograms, based on hourly average data from SMPS and 11-D<br> 8. BAM.zip (5 files) - long-term comparisons of MAQS sensor with a nearby BAM. Hourly (BAM1.csv), daily (BAM2.csv) and monthly (BAM3.csv) average values and comaparison of two MAQS sensors 300 meters apart, hourly (BAM4.csv) and daily (BAM5.csv) values<br> </p>
Database used in the article: The consumption of alcohol by adolescent schoolchildren: Differences in the triadic relationship pattern between rural and urban environments.
<p>Database used in the study: The consumption of alcohol by adolescent schoolchildren: Differences in the triadic relationship pattern between rural and urban environments.</p>
Questionnares used in the article: The consumption of alcohol by adolescent schoolchildren: Differences in the triadic relationship pattern between rural and urban environments.
<p>Questionnaires used in the study: The consumption of alcohol by adolescent schoolchildren: Differences in the triadic relationship pattern between rural and urban environments.</p>
Dataset: Impact of tall buildings and building-height variability on flow within and above a complex urban canopy in London - Part II
<p>This dataset contains Part II of a series of wind-tunnel flow measurements in a 1:200 scale model of a part of the London Borough of Southwark. <a href="https://doi.org/10.5281/zenodo.2563700">Part I</a> of the dataset is also published on Zenodo. The data published here (Part II) accompanies analyses in <a href="https://doi.org/10.1039/D0FD00098A">Hertwig et al. (2020)</a>:</p> <p>D. Hertwig, S. Grimmond, S. Kotthaus, C. Vanderwel, H. Gough, M. Haefferlin, A. Robins (2020), "Variability of Physical Meteorology in Urban Areas at Different Scales: Implications for Air Quality", Faraday Discussions, DOI: 10.1039/D0FD00098A .</p> <p>Flow measurements (based on 2D Laser Doppler Anemometry) were carried out in the boundary-layer wind-tunnel facility of the Environmental Flow (EnFlo) Research Centre, University of Surrey, UK, using the EPSRC <a href="http://www.magic-air.uk/">MAGIC</a> project model domain and scale model (<a href="https://www.tandfonline.com/doi/full/10.1080/09613218.2018.1468158">Song et al., 2018</a>).</p> <p>This repository contains:</p> <ol> <li>wt_ts_part_II_readme.pdf: Meta information and description of data in 'wt_ts_part_II_data.zip'</li> <li>wt_ts_part_II_data.zip: Flow measurements (time series and statistics)</li> </ol>
Machine learning for buildings' characterization and power-law recovery of urban metrics
<p>We focus on a critical component of the city: its building stock, which holds much of its socio-economic activities. In our case, the lack of a comprehensive database about their features and its limitation to a surveyed subset lead us to adopt data-driven techniques to extend our knowledge to the near-city-scale. Neural networks and random forests are applied to identify the buildings’ number of floors and construction periods’ dependencies on a set of shape features: area, perimeter, and height along with the annual electricity consumption, relying on a surveyed data in the city of Beirut. The predicted results are then compared with established scaling laws of urban forms, which constitutes a further consistency check and validation of our workflow.</p>
Supplementary Materials_(Article) Identification of the regional and economic contexts of sustainable urban logistics policies
<p>Supplementary materials to the article topics - Identification of the regional and economic contexts of sustainable urban logistics policies</p>
No evidence of an extinction of experience or emotional disconnect from nature in urban Singapore
<p>The dataset used in the paper titled "No evidence of an extinction of experience or emotional disconnect from nature in urban Singapore" published in the journal People and Nature in 2020.</p>
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.