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499 results for “delineation”
Worldwide Delineation of Multi-Tier City-Regions
<p>Urban centres are pivotal in shaping societies, yet a systematic global analysis of how countries are organized around multiple urban centres is lacking. We enhance understanding by delineating city-regions worldwide, classifying over 30,000 urban centres into four tiers-town, small, intermediate, and large city-based on population size and mapping their catchment areas based on travel time, differentiating between primary and secondary city-regions. Employing a 3-hour travel time cutoff, we identify 1,403 primary city-regions, increasing to 4,210 with a 1-hour cutoff, more indicative of commuting times. Our findings reveal significant interconnectedness among urban centres and with their surrounding areas, with 3.2 billion people having physical access to multiple tiers within an hour, and 4.7 billion within three hours. Notably, among people living in or closest to towns or small cities, twice as many have easier access to intermediate than to large cities, underscoring intermediate cities' crucial role in connecting surrounding populations. This systematic identification of city-regions globally, uncovers diverse organisational patterns across urban tiers, influenced by geography, level of development and infrastructure, offering a valuable spatial dataset for regional planning, economic development, and resource management.</p>
Ukraine Field Boundary Delineation 2022
<h2><strong>Authors:</strong></h2> <div> <p>Yuval Sadeh<sup>a,b,*</sup>, <sup> </sup>Josef Wagner<sup>c</sup>, Shabarinath S. Nair<sup>c</sup>, Oleksandra Oliinyk<sup>b</sup>, Enguerran Belles<sup>c</sup>, Ayman Bibih<sup>c</sup>, Léna D'Harboullé<sup>c</sup>, Hamza Bendhamane<sup>c</sup>, Manav Gupta<sup>c</sup>,<sup> </sup>Inbal Becker-Reshef<sup>b,c</sup></p> <p><sup>a</sup>School of Earth, Atmosphere and Environment, Monash University, Clayton, 3800, Victoria, Australia.</p> <p><sup>b</sup>Department of Geographical Sciences, University of Maryland, College-Park, 20742, Maryland, USA</p> <p><sup>c</sup>ICube, University of Strasbourg, Illkirch-Graffenstaden, 67400, France</p> <p>* Corresponding author: Yuval Sadeh (yuval.sadeh@monash.edu)</p> </div> <div> </div> <h2><strong>Information:</strong></h2> <p>These files present a comprehensive dataset of delineated field boundaries across Ukraine, generated using time-series of high-resolution satellite imagery. The delineation process employs Planet’s bi-weekly image composites at 3-meter spatial resolution, processed through Google Earth Engine (GEE), resulting in the delineation of over 5 million fields, covering the years 2021 to 2023. The accuracy of these delineations was evaluated using the Intersection over Union (IoU) metric, against a reference dataset of 12,331 field boundaries derived from combine harvesters equipped with GPS technology, achieving median IoU of 0.77 for the delineated field boundaries across all Oblasts and years.</p>
Ukraine Field Boundary Delineation 2021
<div><strong>Authors:</strong></div> <div> <p>Yuval Sadeh<sup>a,b,*</sup>, <sup> </sup>Josef Wagner<sup>c</sup>, Shabarinath S. Nair<sup>c</sup>, Alex Olin<sup>b</sup>, Enguerran Belles<sup>c</sup>, Ayman Bibih<sup>c</sup>, Léna D'Harboullé<sup>c</sup>, Hamza Bendhamane<sup>c</sup>, Manav Gupta<sup>c</sup>,<sup> </sup>Inbal Becker-Reshef<sup>b,c</sup></p> <p><sup>a</sup>School of Earth, Atmosphere and Environment, Monash University, Clayton, 3800, Victoria, Australia.</p> <p><sup>b</sup>Department of Geographical Sciences, University of Maryland, College-Park, 20742, Maryland, USA</p> <p><sup>c</sup>ICube, University of Strasbourg, Illkirch-Graffenstaden, 67400, France</p> <p>* Corresponding author: Yuval Sadeh (yuval.sadeh@monash.edu)</p> </div> <div> </div> <div><strong>Information:</strong></div> <p>These files present a comprehensive dataset of delineated field boundaries across Ukraine, generated using time-series of high-resolution satellite imagery. The delineation process employs Planet’s bi-weekly image composites at 3-meter spatial resolution, processed through Google Earth Engine (GEE), resulting in the delineation of over 5 million fields, covering the years 2021 to 2023. The accuracy of these delineations was evaluated using the Intersection over Union (IoU) metric, against a reference dataset of 12,331 field boundaries derived from combine harvesters equipped with GPS technology, achieving median IoU of 0.77 for the delineated field boundaries across all Oblasts and years.</p>
Slope Units delineation for Marche region in Italy
<p>To use this dataset, please cite the article; <em>Ahmed, M., Titti, G., Trevisani, S., Borgatti, L., Francioni, M.: Is higher resolution always better? Open-access DEM comparison for Slope Units delineation and regional landslide prediction. Submitted to Geoscientific Model Development. 2024. <br></em></p> <p> </p> <p>Using three metrics to assess the segmentation of the terrain into Slope Units (SUs), we choose the partition which has been calculated with the following parameters in r.slopunits software (Alvioli et. al., 2016): flow accumulation threshold of 1,000,000 square meters, clean size of 20,000 square meters with the cleaning method (flag -m), minimum area of 300,000 square meters with circular variance of 0.1. The metrics incorporated the landslide extension, landslide number and the aspect homogenity of each segmentation. This has been done using TINITALY resampled to 30m for the Marche region of Italy.</p> <p> </p> <p> </p>
Dynamic prostate cancer transcriptome analysis delineates the trajectory to disease progression.
<p>This file contains vst-normalized gene expression data along with annotations which can be used to reproduce our findings.</p>
Using landscape genomics to delineate future adaptive potential for climate change in the Yosemite Toad (Anaxyrus canorus)
<p>An essential goal in conservation biology is delineating population units that maximize the probability of species persisting into the future and adapting to future environmental change. However, future-facing conservation concerns are often addressed using retrospective patterns that could be irrelevant. We recommend a novel landscape genomics framework for delineating future "Geminate Evolutionary Units" (GEUs) in a focal species: (1) identify loci under environmental selection, (2) model and map adaptive conservation units that may spawn future lineages, (3) forecast relative selection pressures on each future lineage, and (4) estimate their fitness and likelihood of persistence using geo-genomic simulations. Using this process, we delineated conservation units for the Yosemite toad (<em>Anaxyrus</em> <em>canorus</em>), a U.S. federally threatened species that is highly vulnerable to climate change. We used a genome-wide dataset, redundancy analysis, and Bayesian association methods to identify 24 candidate loci responding to climatic selection (R<sup>2</sup> ranging from 0.09–0.52), after controlling for demographic structure. Candidate loci included genes such as MAP3K5, involved in cellular response to environmental change. We then forecasted future genomic response to climate change using the multivariate machine learning algorithm Gradient Forests. Based on all available evidence, we found three GEUs in Yosemite National Park, reflecting contrasting adaptive optima: YF-North (high winter snowpack with moderate summer rainfall), YF-East (low to moderate snowpack with high summer rainfall), and YF-Low-Elevation (low snowpack and rainfall). Simulations under the RCP 8.5 climate change scenario suggest that the species will decline by 29% over 90 years, but the highly diverse YF-East lineage will be least impacted for two reasons: (1) geographically it will be sheltered from the largest climatic selection pressures, (2) its standing genetic diversity will promote a faster adaptive response. Our approach provides a comprehensive strategy for protecting imperiled non-model species with genomic data alone and has wide applicability to other declining species.</p>
Data from: Delineating seagrass species in the genera Halodule and Halophila from Tanzanian coastal waters using ITS and rbcL DNA barcoding
<p>The seagrass species in <em>Halodule</em> and <em>Halophila</em> may for several reasons be considered as taxonomic complexes. They show close evolutionary relationships, morphological plasticity, and share similar features making misidentifications likely when morphological identification is applied. In Tanzanian coastal waters, there is some uncertainty about the identity of members of <em>Halodule</em>, particularly the existence of <em>Halodule wrightii</em> and the species composition of the <em>Halophila ovalis</em> complex. This study used morphology as well as internal transcribed spacer (ITS1 and ITS2) and ribulose-bisphosphate carboxylase (rbcL) DNA barcoding to identify species of <em>Halodule</em> and <em>Halophila</em>. Seagrass samples were collected during low spring tides, from Tanzania's coastal waters of Tanga, Dar es Salaam, Mtwara, Mafia Island, and Unguja Island, from August 2020 to February 2022. Morphological diagnosis, phylogenetic analysis, and evolutionary divergences inferred from the ITS gene supported the identification of five species, namely <em>Halophila ovalis</em>, <em>H. minor,</em> and <em>H. stipulacea</em>, with the first two forming the <em>H. ovalis</em> complex; as well as <em>Halodule uninervis</em> and <em>H. pinifolia</em>. It is the first time that <em>H. pinifolia</em> is reported in Tanzania. This is the first study reporting the delineation of seagrass species in East African coastal waters using DNA barcoding coupled with morphology.</p>
Comparative molecular and morphological species delineation of Halammohydra Remane, 1927 (Hydrozoa) – with description of four new species
<p><span>Whereas most cnidarians are macrofaunal, a few microscopic lineages have evolved and some of them inhabit marine sediments. The meiofaunal genus with the most species is <em>Halammohydra</em>, comprising nine nominal species. Species are described with high intraspecific variability in e.g., number of tentacles and statocysts and the shape and length of tentacles and body, complicating morphological identification to species level. Additionally, there is not much molecular data available. This study aims to revise already described species with morphological and molecular methods, as well as, to delineate potential new species answering questions about their geographical distribution. For this, specimens were sampled at 16 locations in the Northwest Atlantic and two localities in the East Atlantic, documented with light microscopy and fixed individually for sequencing (16S, 18S and CO1). Herewith morphological characters were linked to a specific sequence, enabling testing of character variation within one molecular phylogenetic group. Phylogenetic analyses were conducted (Bayesian Interference and Maximum Likelihood) in combination with species delimitation tests (ABGD, GMYC and bPTP). Four already described species were identified in the data sets, and all of these were found at multiple localities. Four new species are described. Overall, the combined molecular and morphological data acquisition revealed multiple new species and a high degree of sympatry in <em>Halammohydra</em>. This, together with the confirmed excessive intraspecific variation in morphological traits, underlines the necessity of molecular sequencing for taxonomy and species identification of <em>Halammohydra</em>. </span></p>
Delineation of Sensorimotor Subtypes Underlying Residual Speech Errors
ClinicalTrials.gov study NCT03736213. IPD Sharing: NO. Countries: 1. Publications: 20.
Data from: Delineating seagrass species in the genera Halodule and Halophila from Tanzanian coastal waters using ITS and rbcL DNA barcoding
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Data from: Delineating seasonal shifts in Reindeer habitat and diet selection by integrating GPS telemetry and stable Isotope analysis
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Using landscape genomics to delineate future adaptive potential for climate change in the Yosemite Toad (Anaxyrus canorus)
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Data from: When less is more and more is less: the impact of sampling effort on species delineation
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Using habitat, morphological, and genetic characteristics to delineate the subspecies of Sharp-Tailed Grouse in south-central Wyoming
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Determination of mean effective shore level to delineate periods of emersion and immersion for intertidal rocky shores
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Comparative molecular and morphological species delineation of Halammohydra Remane, 1927 (Hydrozoa) – with description of four new species
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Data from: Delineating connectivity and quality of peer–peer prepubescent rhesus macaque (<em>Macaca mulatta</em>) relationships, by examining coupled social behaviors
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Data from: Intrinsic functional connectivity delineates transmodal language functions
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Data from: Rhythmicity of neuronal oscillations delineates their cortical and spectral architecture
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Delayed adaptive radiation among New Zealand stream fishes: joint estimation of divergence time and trait evolution in a newly delineated island species flock
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International Brain Laboratory public data
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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.