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499 results for “delineation”
Geological Structure Interpretation for Delineation of Waste Storage Ponds Area in the Ungaran Geothermal Mining Working Area, Semarang
<p>This material has presented on 2nd International Conference on Advanced Research in Engineering and Technology in October 25, 2023.</p>
3D tumor reconstruction using self-supervised registration and cell-detection-based area delineation
<p>Breast cancer tissue sequentially sectioned for 3D alignment.</p> <ul> <li>ndpi files contain renamed (all) and re-oriented whole slide images (IU, rotated by 180°) originally scanned</li> <li>Downsampled zip folder contains overview images of the individual WSIs</li> </ul>
Ukraine Field Boundary Delineation 2023
<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>
FIGURE 4 in Molecular delineation of the Agave Red Worm Comadia redtenbacheri (Lepidoptera: Cossidae)
FIGURE 4. Maximum Likelihood bootstrap consensus tree based on the COI partial gene depicting 40 branches that represent 19 species of the Cossinae subfamily. Red dotted branches cluster Comadia redtenbacheri members. This well-supported clade is composed essentially of the five samples collected by our group, two more characterized by Vergara et al. (2012) and the last two deposited in the BOLD systems by members of the Smithsonian National Museum of Natural History. Green branches represent the closely related genera that group seven species from North America, Europe and Asia, respectively. Blue and green dotted branches represent two species from Central America and Japan, respectively. Blue branches represent nine species from Australia. The tree was visualized and decorated using the Interactive Tree of Life, iTOL v3.6.1 (Letunic & Bork 2016).
FIGURE 3 in Molecular delineation of the Agave Red Worm Comadia redtenbacheri (Lepidoptera: Cossidae)
FIGURE 3. Complete genitalia of Comadia redtenbacheri male. From left to right: side, dorsal, ventral and hind view.
FIGURE 2 in Checklist of the Red Sea Fishes with delineation of the Gulf of Suez, Gulf of Aqaba, endemism and Lessepsian migrants
FIGURE 2. Map of the Red Sea and the countries surrounding; EG—Egypt, ER—Eritrea, IS—Israel, JO—Jordan, SA—Saudi Arabia, SU—Sudan, YE—Yemen.
Fig. 1 a in Outdated but established?! Conchologically driven species delineations in microgastropods (Carychiidae, Carychium)
Fig. 1 a Geographic map with core distribution area of C. mariae shown in grey and sampling sites of C. mariae specimens from the first description by Paulucci (1878) given in black. Numbers 1-10 indicate
Fig. 4 in Outdated but established?! Conchologically driven species delineations in microgastropods (Carychiidae, Carychium)
Fig. 4 Two syntype specimens of Carychium mariae Paulucci, 1878. Depicted are syntypes stored in the Museo di Storia Naturale dell'Università di Firenze, Sezione di Zoologia de "La Specola" with collection number MZUF GC/11971; 6 sp.; Italy, Lombardy region (MN), Castel Goffredo; M. Paulucci. Additional syntypes (not shown) are MZUF GC/11985 (1 sp.), MZUF GC/13599 (32 sp.) and MZUF GC/ 13600 (202 sp.)
Fig. 2 in Outdated but established?! Conchologically driven species delineations in microgastropods (Carychiidae, Carychium)
Fig. 2 FE-SEM results of conchological details of Carychium tridentatum, C. minimum and C. mariae morphospecies. Shells are arranged in the following order (left to right): ventral view, side view, dorsal view, columellar view. Locality information can be retrieved from Table 1
FIGURE 2. Solanum capsicoides a. Habit. b. Spiny petiole and stem bearing flowers. c. Flower showing spiny calyx. d. Flower showing connate anthers e in Taxonomic delineation of Solanum exarmatum, a new species from Solanum capsicoides All. in Southern Western Ghats, Kerala, India
FIGURE 2. Solanum capsicoides a. Habit. b. Spiny petiole and stem bearing flowers. c. Flower showing spiny calyx. d. Flower showing connate anthers e. Poricidal dehiscence of anthers f. Longitudinal section of flower g. Anther h. Gynoecium i. Twig with mature fruits j. Persistent spiny calyx on mature berry.
FIGURE 1. Solanum exarmatum a. Habit. b. Spineless petiole and stem bearing flowers. c. Inflorescence. d in Taxonomic delineation of Solanum exarmatum, a new species from Solanum capsicoides All. in Southern Western Ghats, Kerala, India
FIGURE 1. Solanum exarmatum a. Habit. b. Spineless petiole and stem bearing flowers. c. Inflorescence. d. Longitudinal section of flower e. Spineless calyx f. Anther g. Gynoecium h. Twig with mature fruits i. Persistent calyx on mature fruit j. Reddish mature berries.
FIGURE 2 in Phylogenetic classification and generic delineation of Hydeomyces desertipleosporoides gen. et sp. nov., (Phaeosphaeriaceae) from Jebel Akhdar Mountain in Oman
FIGURE 2 Hydeomyces desertipleosporoides (SQU H-101, holotype) a Ascostromata on substrate. b, c Ascoma in vertical section. d Peridium. e Periphyses. f–j Asci k–n Ascospores. o Cultures on PDA. p Pycnidium on PDA. q–s Pycnidia. t Conidia. Scale bars b, q–s = 50 μm, b = 100 μm, e, t = 20 μm, k–n = 10 μm. Scale bar of b applies to b–c. Scale bar of e applies to e–j.
FIGURE 1 in Phylogenetic classification and generic delineation of Hydeomyces desertipleosporoides gen. et sp. nov., (Phaeosphaeriaceae) from Jebel Akhdar Mountain in Oman
FIGURE 1. Maximum likelihood (ML) tree resulting from a RAxML analysis of the combined (LSU+SSU+TEF+ITS) alignment of the analysed genera in Phaeosphaeriaceae. RAxML bootstrap support values (ML) and Bayesian posterior probabilities (BI) are given at the nodes (ML/BI). Genera are indicated in coloured blocks and newly introduced strains are in bold. The species name is followed by the strain accession numbers. The tree is rooted to Staurosphaeria rhamnicola (MFLUCC 17-0813).
JuniperMapper: AI for Shrub Delineation (DATA)
<p>JuniperMapper is a dataset created to individually delineate <em>Juniperus</em> shrubs from satellite images using deep learning models. This data contains two types of datasets collected from the national park of Sierra Nevada, Spain:</p> <ol> <li>Photo Interpreted (PI) data: manually created by experts using a visual inspection of satellite images.</li> <li>Field Work (FW) data: manually created by experts using an in-situ inspection.</li> </ol> <p>Both datasets contain a set of RGB input images (.tif) at 13 cm resolution downloaded from Google Earth satellites, and their corresponding annotations (shapefiles) delineating each shrub. In addition, a .json file following the COCO dataset structure is also provided to train deep learning models.</p> <p>The PI dataset can be used to develop the deep learning model. It is already partitioned into Train, Validation, and Test sets. While the FW dataset can be used to perform the external validation of the model.</p>
Data from: Nuclear DNA based species delineations of Coccus scale insects in symbiosis with plants and ants, and the role of plant epicuticular wax in structuring associations
We undertook phylogenetic analysis of nuclear DNA to elucidate species boundaries in the symbiotic Coccus scale insects associated with mutualistic Crematogaster ants and Macaranga plants occurring in the ever-wet forests of Southeast Asia. The coccid specimens clustered into ten lineages, each corresponding to a morphospecies assignment. The lineage identified as C. secretus was separated from the Main Clade by an outgroup. We also examined all pairwise associations among the three symbiont guilds to understand how patterns of association were structured. The analyses revealed that each ant, plant or coccid operational (taxonomic) unit often associated with multiple O(T)Us of each of the other two guilds. However, where testing was feasible, a 'preference' for one or sometimes two partner O(T)Us of each guild was often detected. Mutual 'preferences' or 'avoidances' were relatively common among the symbionts, and no conflicts of interest were apparent. The network of preferred partners among all three guilds showed compartmentalization structured by the presence/absence of plant epicuticular wax, suggesting that this feature plays a fundamental role in how the symbionts select partners that best serve their needs. To a lesser degree, the network was also structured by whether the host plant stems were ant-excavated or hollowed naturally.
Data from: Subspecies delineation amid phenotypic, geographic, and genetic discordance in a songbird
Understanding the processes that drive divergence within and among species is a long-standing goal in evolutionary biology. Traditional approaches to assessing differentiation rely on phenotypes to identify intra- and interspecific variation, but many species express subtle morphological gradients in which boundaries among forms are unclear. This intraspecific variation may be driven by differential adaptation to local conditions and may thereby reflect the evolutionary potential within a species. Here, we combine genetic and morphological data to evaluate intraspecific variation within the Nelson's (Ammodramus nelsoni) and saltmarsh (A. caudacutus) sparrow complex, a group with populations that span considerable geographic distributions and a habitat gradient. We evaluated genetic structure among and within five putative subspecies of A. nelsoni and A. caudacutus using a reduced-representation sequencing approach to generate a panel of 1,929 SNPs among 69 individuals. Although we detected morphological differences among some groups, individuals sorted along a continuous phenotypic gradient. In contrast, the genetic data identified three distinct clusters corresponding to populations that inhabit coastal salt marsh, interior freshwater marsh, and coastal brackish-water marsh habitats. These patterns support the current species-level recognition but do not match the subspecies-level taxonomy within each species– a finding which may have important conservation implications. We identified loci exhibiting patterns of elevated divergence among and within these species, indicating a role for local selective pressures in driving patterns of differentiation across the complex. We conclude that this evidence for adaptive variation among subspecies warrants the consideration of evolutionary potential and genetic novelty when identifying conservation units for this group.
Delineating the ligand-receptor interactions that lead to biased signaling at the mu-opioid receptor
<p>Dataset for the manuscript entitled "Delineating the ligand-receptor interactions that lead to biased signaling at the mu-opioid receptor."</p>
FIGURES 19–23. P in New species of Neotropical Plecia Wiedemann (Diptera: Bibionidae) and delineation of the americana-, nigra-, and xyele- species-groups
FIGURES 19–23. P. nessiae sp. n., holotype male, terminalia. 19. Dorsal. 20. Ventral. 21. Posterior. 22. Lateral. 23. The classic 1934 "Surgeon's photograph" of the Lochness Monster (photograph public domain); see etymology. Scale bar = ca. 0.5 mm. Abbreviations: c, cerci; gc, gonocoxite; gs, gonostylus; p, dorsal sclerite of paramere; t9, tergite nine.
FIGURES 3–5. P in New species of Neotropical Plecia Wiedemann (Diptera: Bibionidae) and delineation of the americana-, nigra-, and xyele- species-groups
FIGURES 3–5. P. abruptavena sp. n., holotype male, male terminalia. 3. Ventral (not dissected). 4. Dorsal (dissected). 5. Posterodorsal (not dissected). Scale bar = ca. 0.5 mm. Abbreviations: gc, gonocoxite; gs, gonostylus; llgc, lateral lobe of gonocoxite; t9, tergite nine.
FIGURES 10–12. P. marginata Edwards, female. 10. Habitus. 11. Thorax, dorsal. 12 in New species of Neotropical Plecia Wiedemann (Diptera: Bibionidae) and delineation of the americana-, nigra-, and xyele- species-groups
FIGURES 10–12. P. marginata Edwards, female. 10. Habitus. 11. Thorax, dorsal. 12. Wing. Scale bars = ca. 1.0 mm.
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.