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573 results for “drawing”
Sārnāth, Uttar Pradesh. Standing Buddha, drawing of back.
<p>Sārnāth, Uttar Pradesh. Standing Buddha, drawing of back. Original sculpture in the British Museum, London, no. 1880-6 (Transferred from the India Museum).</p>
Drawing of Karabel ("Sesostris") found in the Richard Lepsius estate at the Staatsbibliothek zu Berlin
<p>Possible copy of Texier’s original 1839 drawing housed in the Lepsius legacy in the Manuscript Department at the State Library in Berlin The folder containing the drawings is labelled ‘Dessins envoyés par M. H. Guys à M. Lajard’, but this probably refers to the drawings of the reliefs from Nahr el-Kalb, which are also kept in the Lepsius collection. There are no signatures on the document, but the Berlin drawing (an identical pen version also exists) could be a copy of Texier’s original 1839 drawing, as it closely resembles that published by Texier in 1849.</p>
One shot generalization in humans revealed through a drawing task - Dataset
<p>Dataset for:</p> <p>One shot generalization in humans revealed through a drawing task. Henning Tiedemann, Yaniv Morgenstern, Filipp Schmidt, Roland W Fleming. bioRxiv 2021.05.31.446461; doi: https://doi.org/10.1101/2021.05.31.446461</p>
Amarāvatī, Andhra Pradesh, India. Drawing of a stūpa pillar with relief sculpture and inscriptions.
<p>Amarāvatī, Andhra Pradesh, India. Drawing of a stūpa pillar with relief sculpture of the Buddh's final days, labelled with Brāhmī inscriptions.</p>
Drawing of a figurine of Viṣṇu from Sārnāth by Markham Kittoe.
<p>Drawing of a figurine of Viṣṇu from Sārnāth by <a href="https://commons.wikimedia.org/wiki/Category:Markham_Kittoe">Markham Kittoe</a>, now in the British Library (WD2876). © British Library</p> <p> </p>
Sevilleta Field Station Meteorological Network (SevMET): High frequency measurements from the Goat Draw Meteorological Station (GTDR), Sevilleta National Wildlife Refuge, NM, USA, 2024-ongoing.
The Sevilleta Field Station Meteorological Network (SevMET) is a spatially distributed, long-term climate monitoring network established to enhance and expand climate monitoring across a variety of dryland ecosystems (e.g., grasslands, shrublands, woodlands) within the Sevilleta National Wildlife Refuge in central New Mexico. Ecosystem processes in drylands are strongly regulated by climatic drivers that are highly variable in space and time, both within and among years. Therefore, accurate measurement of environmental variables at high spatial and temporal resolution is fundamental to understanding biophysical processes in these ecosystems. SevMET consists of fifteen standardized research-grade weather stations located across multiple dryland ecosystem types (e.g., grasslands, shrublands, woodlands) representative of the southwestern US. Stations continuously measure a standard suite of meteorological variables at five-minute intervals, including air temperature, relative humidity, precipitation, photosynthetically active radiation, incoming shortwave radiation, wind speed and direction, dew point, vapor pressure, and, at a subset of stations, barometric pressure. Stations also measure a suite of soil parameters (bulk electrical conductivity, dielectric permittivity, temperature, and volumetric water content) at six depths (5, 10, 20, 30, 40, and 50 cm) below the ground surface using 1-2 integrated soil profilers. Additionally, phenocams at each station capture images at thirty-minute intervals during daylight hours. This data package contains high-frequency meteorological measurements from the Goat Draw Meteorological Station (GTDR). Phenocam images can be accessed through the PhenoCam Network at: https://phenocam.nau.edu/webcam/sites/sevmetgtdr/. These data complement and extend meteorological data recorded by an adjacent station (Met48), accessible at: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-sev&identifier=1.
Khajuraho खजुराहो (Chhaturpur district, Madhya Pradesh). Drawings incised on slabs in the Dula Deo temple.
<p>Khajuraho खजुराहो (Chhaturpur district, Madhya Pradesh). Drawings incised on slabs in the Dula Deo temple.</p>
Figs 1–8. Original drawings. 1 in Cocconeis molesta Kütz., C. diaphana W.Sm. and C. dirupta W.Greg. (Bacillariophyta): type material, ambiguities and possible synonymies
Figs 1–8. Original drawings. 1. Cocconeis molesta Kütz. (Kützing 1844, pl. 5, fig. 7). 2–3. Cocconeis diaphana W.Sm. (Smith 1853, pl. 30): 2. var. β. 3. type C. diaphana var. diaphana. 4. Cocconeis dirupta W.Greg. (Gregory 1857, pl. 9). 5–8. Cocconeis molesta var. crucifera Grunow ex Cleve (Van Heurck 1880–1885, pl. 30): 5–6. f. minor. 7–8. f. major.
Udayagiri, Madhya Pradesh. Drawing of the main tank.
<p>Udayagiri, Madhya Pradesh. Contour drawing of the main tank (JPEG format).</p>
Figure 10. Drawings from a in A new family of lithophoran Proseriata (Platyhelminthes), with the description of seven new species from the Indo-Pacific and South America, and the proposal of three new genera
Figure 10. Drawings from a living animal of Yorknia aprostatica sp. nov. A, the whole animal; B, the postpharyngeal genital organs. Refer to the Appendix for a list of abbreviations.
Fig. 9. Line drawings. A in Six new species of Rhaphidophora from China (Orthoptera: Rhaphidophoridae: Rhaphidophorinae)
Fig. 9. Line drawings. A. Rhaphidophora setiformis Qin, Jiang, Liu & Li, 2018, male epiproct in lateral view. B. Rhaphidophora xishuang Gorochov, 2012, apex of male epiproct in lateral view (after Gorochov 2012).
Fig.ç2.Ec hinoderes ohtsukai sp. nov., camera lucida drawings. A, B, Holotype, male (ZIHU 3976), entire animal, dorsal and ventral view, respectively; C, D, allotype, female (ZIHU 3977), segments 9–11, dorsal and ventral view, respectively. Abbreviations: dss, droplet-shaped sensory spot; gco1, glandular cell outlet type I; gco2, modi ed glandular cell outlet type II; ldt, laterodorsal tubule; lts, lateral terminal spine; lvt, lateroventral tubule; mds, middorsal spine; ne, neck; ps, penile spine; rss, rounded sensory spot; si, sieve plate. in A New Brackish-water Species of Echinoderes (Kinorhyncha: Cyclorhagida) from the Seto Inland Sea, Japan
Fig.ç2.Ec hinoderes ohtsukai sp. nov., camera lucida drawings. A, B, Holotype, male (ZIHU 3976), entire animal, dorsal and ventral view, respectively; C, D, allotype, female (ZIHU 3977), segments 9–11, dorsal and ventral view, respectively. Abbreviations: dss, droplet-shaped sensory spot; gco1, glandular cell outlet type I; gco2, modi ed glandular cell outlet type II; ldt, laterodorsal tubule; lts, lateral terminal spine; lvt, lateroventral tubule; mds, middorsal spine; ne, neck; ps, penile spine; rss, rounded sensory spot; si, sieve plate.
→ Fig. 2. Marellomorph arthropod Mimetaster florestaensis sp. nov. from Tremadocian of Mojotoro Mountains, Salta, Argentina. A–C. CNS-I 133/1-1, part. A. Cephalic shield and spines. Detail of the secondary spines on mediolateral spine (A2). B. View of the imprint of the ventral posterior margin of the cephalic shield. C. Explanatory drawing revealing the most important morphological characters. D. CNS-I 133/1-1´, counterpart showing detail of strong secondary spines on anterolateral spine. Arrows indicate the secondary spines. in A new marrellomorph euarthropod from the Early Ordovician of Argentina
→ Fig. 2. Marellomorph arthropod Mimetaster florestaensis sp. nov. from Tremadocian of Mojotoro Mountains, Salta, Argentina. A–C. CNS-I 133/1-1, part. A. Cephalic shield and spines. Detail of the secondary spines on mediolateral spine (A2). B. View of the imprint of the ventral posterior margin of the cephalic shield. C. Explanatory drawing revealing the most important morphological characters. D. CNS-I 133/1-1´, counterpart showing detail of strong secondary spines on anterolateral spine. Arrows indicate the secondary spines.
РИС. 1. Схематичное иЗображение глаЗа наЗемного лёгочного моллюска. СокраЩениЯ: c – роговица; ec – глаЗнаЯ капсула; r – сетчатка; p – краЯ Зрачка; l – хрусталик, окруженный слоем стекловидного тела; L abs – абсолютное расстоЯние между Зрачком и наружной поверхностью хрусталика; D l – продольный диаметр хрусталика; А – абсолютный диаметр Зрачabs ка; D – поперечный диаметр глаЗа. FIG. 1. Schematic drawing of the eye of a terrestrial pulmonate mollusk. Abbreviation: c – cornea; ec – eye capsule; r – retina; p – edges of the pupil; l – lens, surrounded by a layer of the vitreous body; L abs – the absolute distance between the pupil and the outer surface of the lens; D l – the longitudinal diameter of the lens; А abs – the absolute diameter of the pupil; D e – the transverse diameter of the eye. in Зрачок камерных глаЗ наЗемных брюхоногих моллюсков (Heterobranchia, Stylommatophora)
РИС. 1. Схематичное иЗображение глаЗа наЗемного лёгочного моллюска. СокраЩениЯ: c – роговица; ec – глаЗнаЯ капсула; r – сетчатка; p – краЯ Зрачка; l – хрусталик, окруженный слоем стекловидного тела; L abs – абсолютное расстоЯние между Зрачком и наружной поверхностью хрусталика; D l – продольный диаметр хрусталика; А – абсолютный диаметр Зрачabs ка; D – поперечный диаметр глаЗа. FIG. 1. Schematic drawing of the eye of a terrestrial pulmonate mollusk. Abbreviation: c – cornea; ec – eye capsule; r – retina; p – edges of the pupil; l – lens, surrounded by a layer of the vitreous body; L abs – the absolute distance between the pupil and the outer surface of the lens; D l – the longitudinal diameter of the lens; А abs – the absolute diameter of the pupil; D e – the transverse diameter of the eye.
Dataset#1 and Dataset#2 for Making drawings speak through mathematical metrics
<p>Dataset 1 and Dataset 2 for the paper Making drawings speak through mathematical metrics</p> <p>Figurative drawing is a skill that takes time to learn, and evolves during different childhood phases that begin with scribbling and end with representational drawing. Between these phases, it is difficult to assess when and how children demonstrate intentions and representativeness in their drawings. The marks produced are increasingly goal-oriented and efficient as the child’s skills progress from scribbles to figurative drawings. Pre-figurative activities provide an opportunity to focus on drawing processes. We applied fourteen metrics to two different datasets (N=65 and N=345) to better understand the intentional and representational processes behind drawing, and combined these metrics using principal component analysis (PCA) in different biologically significant dimensions. Three dimensions were identified: efficiency based on spatial metrics, diversity with colour metrics, and temporal sequentiality. The metrics at play in each dimension are similar for both datasets, and PCA explains 77% of the variance in both datasets. These analyses differentiate scribbles by children from those drawn by adults. The three dimensions highlighted by this study provide a better understanding of the emergence of intentions and representativeness in drawings. We have already discussed the perspectives of such findings in Comparative Psychology and Evolutionary Anthropology.</p>
Arthropod drawings
<p>When preparing presentations or texts to teach Entomology, one sometimes needs drawings of insects and other arthropods. Here we offer some line drawings of selected arthropods, in SVG format, hence fully editable. We also include a PNG version for each individual drawing.</p>
Pitfalls of ignoring trait resolution when drawing conclusions about ecological processes
<p><strong>Aim:</strong> Understanding how ecological communities are assembled remains a grand challenge in ecology with direct implications for charting the future of biodiversity. Trait-based methods have emerged as the leading approach for quantifying functional community structure (convergence, divergence) but their potential for inferring assembly processes rests on accurately measuring functional dissimilarity among community members. Here, we argue that trait resolution (from finest-resolution continuous measurements to coarsest-resolution binary categories) remains a critically overlooked methodological variable, even though categorical classification is known to mask functional variability and inflate functional redundancy among species or individuals.</p> <p><strong>Innovation:</strong> We present the first detailed predictions of trait resolution biases and demonstrate, with simulations, how the distortion of signal strength by increasingly coarse-resolution traits can fundamentally alter functional structure patterns and the interpretation of causative ecological processes (e.g., abiotic filters, biotic interactions). We show that coarser trait data impart different impacts on the signals of divergence and convergence, implying that the role of biotic interactions may be underestimated when using coarser traits. Furthermore, in some systems, coarser traits may overestimate the strength of trait convergence, leading to erroneous support for abiotic processes as the primary drivers of community assembly or change.</p> <p><strong>Main conclusions:</strong> Inferences of assembly processes must account for trait resolution to ensure robust conclusions, especially for broad-scale studies of comparative community assembly and biodiversity change. Despite recent improvements in the collection and availability of trait data, great disparities continue to exist among taxa in the number and availability of continuous traits, which are more difficult to acquire for large numbers of species than coarse categorial assignments. Based on our simulations, we urge the consideration of trait resolution in the design and interpretation of community assembly studies and suggest a suite of practical solutions to address the pitfalls of trait resolution biases.</p>
ImageNet-Cartoon and ImageNet-Drawing: two domain shift datasets for ImageNet
<p>Benchmarking the robustness to distribution shifts traditionally relies on dataset collection which is typically laborious and expensive, in particular for datasets with a large number of classes like ImageNet. An exception to this procedure is ImageNet-C (Hendrycks & Dietterich, 2019), a dataset created by applying common real-world corruptions at different levels of intensity to the (clean) ImageNet images. Inspired by this work, we introduce ImageNet-Cartoon and ImageNet-Drawing, two datasets constructed by converting ImageNet images into cartoons and colored pencil drawings, using a GAN framework (Wang & Yu, 2020) and simple image processing (Lu et al., 2012), respectively.</p> <p>This repository contains ImageNet-Cartoon and ImageNet-Drawing. Checkout the <a href="https://github.com/oberman-lab/imagenet-shift">official GitHub Repo</a> for the code on how to reproduce the datasets.</p> <p>If you find this useful in your research, please consider citing:</p> <p> @inproceedings{imagenetshift,<br> title={ImageNet-Cartoon and ImageNet-Drawing: two domain shift datasets for ImageNet},<br> author={Tiago Salvador and Adam M. Oberman},<br> booktitle={ICML Workshop on Shift happens: Crowdsourcing metrics and test datasets beyond ImageNet.},<br> year={2022}<br> }</p>
Fig. 11. Lycosa female epigyne, line drawings. A–B in Lycosa Latreille, 1804 (Araneae, Lycosidae) of Israel, with a note on Geolycosa Montgomery, 1904
Fig. 11. Lycosa female epigyne, line drawings. A–B. Lycosa sp. (HUJ INV-AR20573). A. Ventral view. B. Dorsal view. C–D. Lycosa hyraculus sp. nov., paratype (HUJ INV-AR20817). C. Ventral view. D. Dorsal view. E–F. Lycosa piochardi Simon, 1876 (HUJ INV-AR20709). E. Ventral view. F. Dorsal view. Scale bars = 0.5 mm. Drawings by I. Armiach Steinpress.
Text-fig. 9. The drawing shows the ratio of epigynous and hypogenous flowers in Zliv-Řídká Blana mesofossil flora. The ovary is inferior, and the flower is epigynous in 17 taxa. The ovary is superior, and the flower is hypogenous in 20 taxa. in Plant Mesofossils From The Late Cretaceous Klikov Formation, The Czech Republic
Text-fig. 9. The drawing shows the ratio of epigynous and hypogenous flowers in Zliv-Řídká Blana mesofossil flora. The ovary is inferior, and the flower is epigynous in 17 taxa. The ovary is superior, and the flower is hypogenous in 20 taxa.
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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.