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FIGURE 4 in Frenopyxis stierlitzi gen. nov., sp. nov.-new testate amoeba (Amoebozoa Arcellinida) from the urban parks with notes on the systematics of the family Centropyxidae Jung, 1942
FIGURE 4. Morphometric comparison of populations (marked by the name of the tree and height of the hollow position): asize distribution in shell length—shell breadth space; b—size distribution in aperture length—aperture breadth space; c—shell length / shell breadth (l/b) ratio and aperture length / aperture breadth (lps/bps) ratio; d—ration of specimens with circular shells (% shell) and with circular apertures (% apert). Whiskers—standard error of the arithmetic mean.
FIGURE 7 in Frenopyxis stierlitzi gen. nov., sp. nov.-new testate amoeba (Amoebozoa Arcellinida) from the urban parks with notes on the systematics of the family Centropyxidae Jung, 1942
FIGURE 7. Centropyxis with the apertural tube: a—C. ecornis, b—C. sphagnicola. After Dekhtjar, 2009.
Datasets for modelling direct CO2 emissions and uptake at neighborhood scale over the urban area of Beijing
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Parameterization of grass grid pavers for urban microclimate modelling to simulate the heat mitigation potential of unsealing measures in cities
<p><strong>README: </strong></p> <p>The exact version (V 5.1.2 Compatibility Release) of the ENVI-met model used for this paper, the parameterizations and the input data to run the ENVI-met model and to reproduce the model outputs of all the performed scenario simulations shown in this paper, as well as all the scripts for post-processing of the model output data needed to derive the presented results of this manuscript are provided in this permanent archive. The supplementary material (data and code) includes the following files: </p> <p>Appendix_1: ENVI-met model code of the version used to reproduce the outputs of this paper (V 5.1.2 Compatibility Release): <br> Appendix_1.exe: ENVImet model Version 5.1.2 setup </p> <p>Appendix_2: Model input data: for GGP scenarios including the model database parameterizations: <br> Appendix_2.1.zip: Input data for extreme scenario <br> Appendix_2.2.zip: Input data for realistic scenario <br>Eeach zip file contains: model driver file for LBCs, project file, project database, model domain file, and simulation task file. </p> <p>Appendix_3: Python scripts for postprocessing and extraction of model output data: <br> Appendix_3.1.enpy: Python script for exporting surface data <br> Appendix_3.2.enpy: Python script for exporting atmosphere data and soil data</p> <p>Appendix_4: R script for data analyses of model results: <br> Appendix_4.rmd: R script for data analyses of extracted simulation results and plotting </p> <p> </p>
High-Resolution Mapping of Building Material Stocks in Major Urban Agglomerations in China Based on Multiple Geospatial Data
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URBAN LANDSCAPE
<u>Source</u>: Flickr <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1677515023.6938.jpg">https://4dcity.org/imgupload/1677515023.6938.jpg</a> <br><u>Original Image URL</u>: <a href="https://live.staticflickr.com/880/41282993722_af1ec942a2_m.jpg">https://live.staticflickr.com/880/41282993722_af1ec942a2_m.jpg</a>
URBAN LANDSCAPE
<u>Source</u>: Flickr <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1677514097.4072.jpg">https://4dcity.org/imgupload/1677514097.4072.jpg</a> <br><u>Original Image URL</u>: <a href="https://live.staticflickr.com/880/41282993722_af1ec942a2_m.jpg">https://live.staticflickr.com/880/41282993722_af1ec942a2_m.jpg</a>
Household survey and Urban Structure Type (UST) data for the city of Berlin, Germany
<p>An overview of the household survey data conducted in 39 selected planungsräume or planning areas (PLRs) in Berlin and its link with spatial datasets i.e., urban structure types (USTs) are provided in this document. </p>
Household survey data linked to Urban Structure Type (UST) for the city of Stuttgart, Germany
<p><span>An overview of the household survey data conducted at Stadtteile scale in the city of Stuttgart and its link with spatial datasets i.e., urban structure types (USTs) are provided in this document. </span></p>
Applying the LightGBM model and SHAP interpretation to understand the urban land price index and its influencing factors in China
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Cool colors promote a restorative sidewalk experience: Effects of urban sidewalk ground mural design on pedestrians' mood states, perceived restorativeness, and heart rate in virtual reality
<p>This dataset contains the survey and heart rate data used in the paper.</p>
FIGURA 1. Aspecte d in Taraxaco columnaris-Plantaginetum majoris, una nova associació pròpia de gespes urbanes de la franja litoral i sublitoral quaternària valenciana (Castelló, València; Espanya)
FIGURA 1. Aspecte d'una gespa urbana emmarcable en l'associació TOrOxOco columnOris-PlOntOginetum mOjoris Vázquez et al.(Foto J.R. Vázquez).
Quantitative Study of Microplastic Degradation in Urban Hydrosystems: In-Situ Monitoring vs. Controlled Conditions using Accelerated Photo-oxidation
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FIGURE 5 in Long-Term Avifaunal Survey In An Urban Ecosystem From Southeastern Brazil, With Comments On Range Extensions, New And Disappearing Species
FIGURE 5: Distribution of bird species according to habitat use and patterns of movements and dispersal on the campus of the Pontifícia Universidade Católica de Minas Gerais, Belo Horizonte, Minas Gerais, southeastern Brazil.
FIGURE 2 in Long-Term Avifaunal Survey In An Urban Ecosystem From Southeastern Brazil, With Comments On Range Extensions, New And Disappearing Species
FIGURE 2: Aerial photographs of the campus of the Pontifícia Universidade Católica de Minas Gerais in 1960 (left) and 2003 (right). Red arrows indicate the forest fragment (PUC forest).
FIGURE 1 in Long-Term Avifaunal Survey In An Urban Ecosystem From Southeastern Brazil, With Comments On Range Extensions, New And Disappearing Species
FIGURE 1: Map showing the study area of the campus of the Pontifícia Universidade Católica de Minas Gerais (yellow) in the municipality of Belo Horizonte, Minas Gerais, southeastern Brazil. The municipality is in a transitional zone between the Atlantic Forest and the Cerrado.
FIGURE 3 in Long-Term Avifaunal Survey In An Urban Ecosystem From Southeastern Brazil, With Comments On Range Extensions, New And Disappearing Species
FIGURE 3: Saffron-billed Sparrow (Arremon flavirostris) mistnetted in the PUC forest. Photo: J.E.M. Dias.
FIGURE 1. Phyllanthus celatus. A. Habitat, B. Habit, C in A new species of Phyllanthus (Phyllanthaceae) hiding in the shades in an urban Atlantic Forest in Rio de Janeiro State, Brazil
FIGURE 1. Phyllanthus celatus. A. Habitat, B. Habit, C. Branches showing both leaf surfaces (adaxial and abaxial), D. Pistillate flowers with details, E. Developed fruits. (Photographs by JCR Mendes).
FIGURE 2. Phyllanthus celatus. A. Habit, B. Leaf, C. Staminate flower, D. Pistillate flower, E in A new species of Phyllanthus (Phyllanthaceae) hiding in the shades in an urban Atlantic Forest in Rio de Janeiro State, Brazil
FIGURE 2. Phyllanthus celatus. A. Habit, B. Leaf, C. Staminate flower, D. Pistillate flower, E. Gynoecium [detail of the pistillate disc], F. Fruit, G. Seed. (Drawing based on the holotype, made by Regina Carvalho).
Fig. 4 in Discoderus LeConte Species Exhibit Episodic Emergences in both Urban and Natural Environments of Arizona, USA (Coleoptera: Carabidae)
Fig. 4. Annual totals for individuals for each Discoderus taxon, along with all other carabids combined, in the SRER NEON dataset, normalized by the number of trap days performed each year (see Table 1).
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.