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19 results for “Urban Zones”
Reply to comment on "High-resolution, multi-layer modelling of Singapore's urban climate incorporating local climate zones"
<p>This data is for the publication submitted to the Journal of Geophysical Research Atmospheres</p>
Fig. 3 in Effect of urbanization on zoonotic gastrointestinal parasite prevalence in endemic toque macaque (Macaca sinica) from different climatic zones in Sri Lanka
Fig. 3. GI parasite genera types identified from fecal samples of toque macaques. I. Protozoan types: (A) Balantidium cyst, (B) Balantidium trophozoite, (C) Endolimax cyst, (D) Entamoeba cyst, (E) Isospora cyst. (F) Unidentified protozoan cyst; II. Cestode types: (G) Bertiella ova, (H) Diphyllobothrium ova, (I) Hymenolepis ova; III. Trematode types: (J–K) Unidentified trematode ova; IV. Acanthocephalan type: (L) Moniliformis ova; V. Nematode types: (M) Oesophagostomum ova, (N) Strongyloides ova, (O) Ascaris ova, (P) Trichuris ova, (Q) Strongyle/ Hookworm ova, (R) Enterobius ova, (S)Trichostrongylus ova, (T) Unidentified nematode ova.
Fig. 2 in Effect of urbanization on zoonotic gastrointestinal parasite prevalence in endemic toque macaque (Macaca sinica) from different climatic zones in Sri Lanka
Fig. 2. Map of Sri Lanka with sampling localities in the dry and the wet zones and the montane region.
Fig. 4 in Effect of urbanization on zoonotic gastrointestinal parasite prevalence in endemic toque macaque (Macaca sinica) from different climatic zones in Sri Lanka
Fig. 4. Number of parasite genera types (species richness) infecting M. s. aurifrons, M. s. sinica and M. s. opisthomelas in urban, suburban, and wild habitats.
Fig. 1 in Effect of urbanization on zoonotic gastrointestinal parasite prevalence in endemic toque macaque (Macaca sinica) from different climatic zones in Sri Lanka
Fig. 1. The three subspecies of macaque's endemic to Sri Lanka. (A) Common macaque (Macaca sinica sinica), (B) dusky or pale-fronted macaque (M. s. aurifrons), and (C) hill-zone macaque (M. s. opisthomelas) (image courtesy: Madura De Silva).
How does the selection of National Development Zones affect urban green innovation?
<p><span><span>The launch of the selection process for National Development Zones (NDZs) marked a fundamental change in the construction of development zones, making it an essential position for local authorities to implement high-quality development. Based on the data of prefecture-level cities in China from 2000 to 2018, this paper examines the impact and mechanism of selecting NDZs on urban green innovation through a double-difference spatial durbin model using the selection of NDZs as a "quasi-natural experiment". The study finds that the selection of NDZs can promote green innovation in cities and has a significant window-radiating effect. The heterogeneity test results show that the implementation of the selection policy for development zones in non-old industrial cities, large and medium-sized cities, cities with easy access to transportation, and cities with high market orientation are more likely to promote urban green innovation. At the same time, the higher the level of government governance and the better the level of economic development of the development zones, the more it helps to realize the effects of the selection policy. The results of the mechanism test show that the selection of NDZs has a positive impact on urban green innovation through environmental regulation effects, resource allocation effects, and policy amplification effects. </span></span>Data on development zones are sourced from the China Directory of Development Zones Audit and Announcement (2006) and the China Directory of Development Zones Audit and Announcement (2018 Edition)(http://www.gov.cn/xinwen/2018-03/03/content_5270330.htm); data on patents are sourced from the China Intellectual Property Office (https://www.cnipa.gov.cn/); Other city-level data from China City Statistical Yearbook, China Regional Economic Statistical Yearbook, China Statistical Yearbook (https://data.cnki.net/Yearbook/Navi?type=type&code=A). Our data is collated from the above sources using Python software. </p>
Proportion of natural areas within a defined urban zone
<p>Share of the sum of natural and naturalized areas to the total area in UNaLab front-runner cities Tampere, Eindhoven and Genova.</p>
Volume of Interest: Exploring New Data Types in Urban Functional Zones
<p>随着全球城镇化的发展,实现城市功能区的精细化识别已成为一项挑战。基于POI数据的传统方法不足以识别不同区域的功能特征。以往研究中基本单位设置不精确、POI重分类标准模糊、功能区定义模糊等局限性,成为获得准确识别结果的重大障碍。为了解决这些问题,本研究提出了一种将POI数据扩展到三维空间并生成VOI(感兴趣体积)数据的方法。以香港一个小区域为例,采用一系列指标量化功能特征,然后将识别结果与基于POI的方法进行比较。最终鉴定总体准确率和kappa系数分别达到85.67%和0.7619,表明基于VOI的方法与实际情况基本吻合。分析表明,VOI数据包含更丰富、更全面的城市空间信息,能够更好地反映城市内不同区域之间的联系和影响。本研究可为城市功能区深入研究提供参考案例。</p>
How does the selection of National Development Zones affect urban green innovation?
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Logistics of zoning, zoning for logistics: Toward healthy and equitable development for urban freight
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Data from: Fitness dynamics within a poplar hybrid zone: II. Impact of exotic sex on native poplars in an urban jungle.
Trees bearing novel or exotic gene components are poised to contribute to the bioeconomy for a variety of purposes such as bioenergy production, phytoremediation, and carbon sequestration within the forestry sector, but sustainable release of trees with novel traits in large-scale plantations requires the quantification of risks posed to native tree populations. Over the last century, exotic hybrid poplars produced through artificial crosses were planted throughout eastern Canada as ornamentals or windbreaks and these exotics provide a proxy by which to examine the fitness of exotic poplar traits within the natural environment to assess risk of exotic gene escape, establishment, and spread into native gene pools. We assessed postzygotic fitness traits of native and exotic poplars within a naturally regenerated stand in eastern Canada (Quebec City, QC). Pure natives (P. balsamifera and P. deltoides spp. deltoides), native hybrids (P. deltoides × P. balsamifera), and exotic hybrids (trees bearing Populus nigra and P. maximowiczii genetic components) were screened for reproductive biomass, yield, seed germination, and fungal disease susceptibility. Exotic hybrids expressed fitness traits intermediate to pure species and were not significantly different from native hybrids. They formed fully viable seed and backcrossed predominantly with P. balsamifera. These data show that exotic hybrids were not unfit and were capable of establishing and competing within the native stand. Future research will seek to examine the impact of exotic gene regions on associated biotic communities to fully quantify the risk exotic poplars pose to native poplar forests.
FIGURES 6–9 in A new species of Malacophagomyia (Malacophagomyia) Lopes, 1966 (Diptera: Sarcophagidae) collected from an urban zone of Southern Colombia
FIGURES 6–9. Malacophagomyia (M.) gaelana Córdoba-Suarez, Ramos-Pastrana & Mulieri, sp. nov. Holotype male. 6, Sternites 4 and 5; 7, Cercus dorsal view (the red arrow indicates apical lateral projections); 8, Terminalia lateral view; 9, Terminal details, lateral view. Abbreviations: cerc, cercus; hi, hillae; j, juxta; ls, lateral stylus; ple, paraphalllic lateral expansion; ms, median stylus; pg, pregonite; pgt, postgonite; pp, paraphallus; sr, surstylus.
FIGURES 10–11. 10 in A new species of Malacophagomyia (Malacophagomyia) Lopes, 1966 (Diptera: Sarcophagidae) collected from an urban zone of Southern Colombia
FIGURES 10–11. 10. Geographical records of Malacophagomyia species in South America. M. (M.) filamenta, M. (M.) gaelana sp. nov. M. (M.) kesselringi and M. (M.) rivadavia. 11, Habitat and arrangement of Van Someren-Rydon traps, with its attractants (rhombuses) at the Universidad de la Amazonia—Campus Centro.
FIGURES 1–5 in A new species of Malacophagomyia (Malacophagomyia) Lopes, 1966 (Diptera: Sarcophagidae) collected from an urban zone of Southern Colombia
FIGURES 1–5. Malacophagomyia (M.) gaelana Córdoba-Suarez, Ramos-Pastrana & Mulieri, sp. nov. Holotype male. 1, Habitus, left lateral view; 2, Head, fronto-lateral view; 3, Thorax, dorsal view; 4, Wing; 5, Abdomen, dorsal view.
Data from: Fitness dynamics within a poplar hybrid zone: II. Impact of exotic sex on native poplars in an urban jungle.
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Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3
The Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3 data set contains land areas with urban, quasi-urban, rural, and total populations (counts) within the LECZ for 234 countries and other recognized territories for the years 1990, 2000, and 2015. This data set updates initial estimates for the LECZ population by drawing on a newer collection of input data, and provides a range of estimates for at-risk population and land area. Constructing accurate estimates requires high-quality and methodologically consistent input data, and the LECZv3 evaluates multiple data sources for population totals, digital elevation model, and spatially-delimited urban classifications. Users can find the paper "Estimating Population and Urban Areas at Risk of Coastal Hazards, 1990-2015: How data choices matter" (MacManus, et al. 2021) in order to evaluate selected inputs for modeling Low Elevation Coastal Zones. According to the paper, the following are considered core data sets for the purposes of LECZv3 estimates: Multi-Error-Removed Improved-Terrain Digital Elevation Model (MERIT-DEM), Global Human Settlement (GHSL) Population Grid R2019 and Degree of Urbanization Settlement Model Grid R2019a v2, and the Gridded Population of the World, Version 4 (GPWv4), Revision 11. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) and the City University of New York (CUNY) Institute for Demographic Research (CIDR).
Low Elevation Coastal Zone (LECZ) Global Delta Urban-Rural Population and Land Area Estimates, Version 1
The Low Elevation Coastal Zone (LECZ) Global Delta Urban-Rural Population and Land Area Estimates, Version 1 data set provides country-level estimates of urban, quasi-urban, rural, and total population (count), land area (square kilometers), and built-up areas in river delta- and non-delta contexts for 246 statistical areas (countries and other UN-recognized territories) for the years 1990, 2000, 2014 and 2015. The population estimates are disaggregated such that compounding risk factors including elevation, settlement patterns, and delta zones can be cross-examined. The Intergovernmental Panel on Climate Change (IPCC) recently concluded that without significant adaptation and mitigation action, risk to coastal commUnities will increase at least one order of magnitude by 2100, placing people, property, and environmental resources at greater risk. Greater-risk zones were then generated: 1) the global extent of two low-elevation zones contiguous to the coast, one bounded by an upper elevation of 10m (LECZ10), and one by an upper elevation of 5m (LECZ05); 2) the extent of the world's major deltas; 3) the distribution of people and built-up area around the world; 4) the extents of urban centers around the world. The data are layered spatially, along with political and land/water boundaries, allowing the densities and quantities of population and built-up area, as well as levels of urbanization (defined as the share of population living in "urban centers") to be estimated for any country or region, both inside and outside the LECZs and deltas, and at two points in time (1990 and 2015). In using such estimates of populations living in 5m and 10m LECZs and outside of LECZs, policymakers can make informed decisions based on perceived exposure and vulnerability to potential damages from sea level rise.
Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 2
The Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 2 data set consists of country-level estimates of urban population, rural population, total population and land area country-wide and in LECZs for years 1990, 2000, 2010, and 2100. The LECZs were derived from Shuttle Radar Topography Mission (SRTM), 3 arc-second (~90m) data which were post processed by ISciences LLC to include only elevations less than 20m contiguous to coastlines; and to supplement SRTM data in northern and southern latitudes. The population and land area statistics presented herein are summarized at the low coastal elevations of less than or equal to 1m, 3m, 5m, 7m, 9m, 10m, 12m, and 20m. Additionally, estimates are provided for elevations greater than 20m, and nationally. The spatial coverage of this data set includes 202 of the 232 countries and statistical areas delineated in the Gridded Rural-Urban Mapping Project version 1 (GRUMPv1) data set. The 30 omitted areas were not included because they were landlocked, or otherwise lacked coastal features. This data set makes use of the population inputs of GRUMPv1 allocated at 3 arc-seconds to match the SRTM elevations, and at 30 arc-seconds resolution in order to reflect uncertainty levels in the product resulting from the interplay of input population data resolutions (based on census Units) and the elevation data. Urban and rural areas are differentiated by the GRUMPv1 Urban Extents. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).
Low Elevation Coastal Zone (LECZ) Urban-Rural Population Estimates, Global Rural-Urban Mapping Project (GRUMP), Alpha Version
The Low Elevation Coastal Zone (LECZ) Urban-Rural Population Estimates consists of country-level estimates of urban, rural and total population and land area country-wide and in the LECZ, if applicable. Additionally, the data set provides the number of urban extents, their population and land area that intersect the LECZ, by city-size population classifications of less than 100,000, 100,000 to 500,000, 500,000 to 1,000,000, 1,000,000 to 5,000,000, and more than 5,000,000. All estimates are based on GRUMP Alpha data products. The LECZ was generated using SRTM Digital Elevation Model data and includes all land area that is contiguous with the coast and 10 meters or less in elevation. All grids used for population, land area, urban mask, and LECZ were of 30 arc-second (~1 km ) resolution. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the International Institute for Environment and Development (IIED).
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.