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1,219 results for “Sand”
Fig. 3 in Color Features Of Sand Lizards, Lacerta Agilis (Sauria, Lacertidae), In Kyiv Region (Ukraine)
Fig. 3. Number of scales in 15–17 rows of neck scales between lateral light lines in different color morphs of L. agilis: "NOT" — var. erythro-(viridi-)nota; "3" — trilinear; "2_3" — intermediate form; "2" — bilinear.
Fig. 2 in Color Features Of Sand Lizards, Lacerta Agilis (Sauria, Lacertidae), In Kyiv Region (Ukraine)
Fig. 2. Features of sand lizards coloring in the Kyiv Region: I — 5 types of color and body picture (А — bilinear, B — intermediate form between bilinear and trilinear, С — trilinear, D — var. erythro- (viridi-)nota; E — var. con-(bi-)color); ІІ — calculation of the number of scales in the 15–17 rows; elements of the picture: 1 — dorsal line; 2 — marginal line; 3 — vertebral stripes; 4 — dark dorsal spots.
Fig. 3 in Spatial Patterns Of Bird Communities Of The Lower Dnieper Sands During The Breeding Season: Differentiation Factors
Fig. 3. The abundance (the mean number of individuals per sample) of campophilous and dendrophilous birds in groups of samples A (Clusters I–IV) and B (Clusters V–VI). N o t e. The central line represents median, the lower and upper limits of the rectangle — the first and third quartile respectively, "whiskers" — ± 1.5 of interquartile range; circles — outliers.
Fig. 1 in Spatial Patterns Of Bird Communities Of The Lower Dnieper Sands During The Breeding Season: Differentiation Factors
Fig. 1. The scheme of the study area. Аrenas of Low-Dnieper Sands: A — Kakhovska; B — Kozachelaherska; C — Oleshkivska; D — Chalbaska; E — Zburivska; F — Ivanivska; G — Kinburn Peninsula. N o t e. The first and the last sample of each census route are marked by numbers; the numbering of samples is the same as in table 1.
Fig. 4 in Spatial Patterns Of Bird Communities Of The Lower Dnieper Sands During The Breeding Season: Differentiation Factors
Fig. 4. The area ratio of different types of habitats on standard test plots in the groups of samples.
Sand and gravel sediment flux data, San Antonio River, Texas
<p>Dataset consists of field observations of sand and gravel sediment fluxes and bed material in the lower San Antonio River, Texas. A Helley-Smith bedload sampler was deployed at three locations over stream discharges that span two orders of magnitude. Details are given in Haschenburger (2021), Fractional Transport Rates in a Poorly Sorted Sand-bed River, Geomorphology, 389, 107797, https://doi.org/10.1016/j.geomorph.2021.107797</p>
GloPrSM: Global Prediction of Sand Modal Composition
<p>GloPrSM is a global prediction of sand modal composition that depicts relative abundances of quartz, feldspar, and lithic grain types (and related subcompositions) in modern river sand deposits.</p>
Influence of sand supply and grain size on upper regime bedforms
<p>Notwithstanding the large number of studies on bedforms such as dunes and antidunes, performing quantitative predictions of bedform type and geometry remains an open problem. Here we present the results of laboratory experiments specifically designed to study how sediment supply and caliber may impact equilibrium bedform type and geometry in the upper regime. Experiments were performed in a sediment feed flume with flow rates varying between 5 l/s and 30 l/s, sand supply rates varying between 0.6 kg/min and 20 kg/min, and uniform and non-uniform sediment grain sizes with geometric mean diameter varying between 0.22 mm and 0.87 mm. The analysis of the experimental data and the comparison with datasets available in the literature revealed that the ratio of the volume transport of sediment to the volume transport of water Q<sub>s</sub>/Q<sub>w</sub> plays a prime control on the equilibrium bed configuration. The equilibrium bed configuration transitions from washed out dunes, to downstream migrating antidunes for Q<sub>s</sub>/Q<sub>w</sub> between 0.0003 and 0.0007. For values of Q<sub>s</sub>/Q<sub>w</sub> greater than those typical of the downstream migrating antidunes, the bedform wavelength increases. Equilibrium bed configuration for fine sands is characterized by upstream migrating antidunes or cyclic steps, and significant suspended sand. At these high values of Q<sub>s</sub>/Q<sub>w</sub> the equilibrium bed for coarse sands is plane with bedload transport in sheet flow mode. Standing waves form at the transition between downstream migrating antidunes and bed configurations with upstream migrating bedforms or bedload transport in sheet flow mode. </p>
From silk to sand: Multiple dimensions of perceived softness
<p>From silk to sand: Hand explorations are determined by the characteristics of the perceptual space of real-world materials</p> <p> </p> <p>Perceiving mechanical properties of objects, i.e., how they react to physical forces, is a crucial ability in many aspects of life, from choosing an avocado to picking your clothes. There is, a wide variety of materials that differ substantially in their mechanical properties. For example, both, silk and sand deform and change shape in response to exploration forces, but each does so in very different ways. Studies show that the haptic perceptual space has multiple dimensions corresponding to the physical properties of textures, however in these experiments the range of materials or exploratory movements were restricted. Here we investigate the perceptual dimensionality in a large set of real materials in a free haptic exploration task. Thirty-two participants actively explored deformable and non-deformable materials with their hands and rated them on several attributes. Using the semantic differential technique, video analysis and linear classification, we found four haptic dimensions, each associated with a distinct set of hand and finger movements during active exploration. Taken together our findings suggest that the physical, particularly the mechanical, properties of a material systematically affect how it is explored on a much more fine-grained level than originally thought.</p> <p> </p> <p>The folder contains raw data related to video event coding of 5 raters:</p> <p>R1_20180820.txt</p> <p>R2_14082018.txt</p> <p>R3_14082018.txt</p> <p>R4_20180610firstlist55.txt</p> <p>R5_20180610firstlist64v2.txt</p> <p>Same data are also shared in Matlab format after deleting unnecessary information such as file paths or fps:</p> <p>a.mat, h.mat, o.mat, s.mat, v.mat</p> <p>Ethogram file contains exploratory procedure names and materials file contains material names.</p> <p>Matlab files include codes for calculating inter-rater reliability (plot_correlate_EP_permaterial.m), resulting data for inter-rater reliability (IRR_overall_corrcoeffs.mat, IRR_permaterial_corrcoeffs.mat).</p> <p>We also include scripts to plot timelines and EP frequencies, plot_timelines_materials_alex.m and plot_durations_material_meansub_alex.m respectively.</p> <p>Finally, the script for classification from Mathworks Inc. uses built-in Matlab functions, we include our script where we only changed variable names (sort_svmdata4.m).</p>
Aeolian erosion thresholds for cohesive sand
<p>These are datastet corresponding to the article entitled "Aeolian erosion threshold for cohesive sand" by J.-B Besnard, P. Dupont, A. Ould El Moctar and A. Valance.</p> <p>The data set are stored in an excel file which is made of four different sheets corresponding to the data from Figure 2a, Figure 3, Figure 4 and Figure 5a of the article.<br> </p>
Hoofprints in the Sand Supplement S5: LSI Summary Stats by Site, Period, Element
<p>Table of summary statistics produced in the LSI analysis per site, period, and skeletal element, as demonstrated in Harding, S. et al. Hoofprints in the Sand: A Metric Study of Livestock on the Southern Phoenician Coast. In preparation for <em>Quaternary International</em>.</p> <p>v.2 changed the spelling of Tel Shiqmona, abbreviation SHQ</p>
Text-fig. 3. Outcrop cross section of the turbidite facies distribution in the Majalengka, correlated northwest to southeast. The progradation pattern indicated by thickening of sandstone into the basin area are shown. F1 – heterolithic sandstone-mudstone 1; F2 – heterolithic sandstone-mudstone 2; F3 – mudstone facies; F4 – heterolithic fine sand and mudstone; F5 – conglomeratic to massive sandstone facies (Muljana 2012). in Lithofacies And Ichnofacies Of Turbidite Deposits, West Java, Indonesia
Text-fig. 3. Outcrop cross section of the turbidite facies distribution in the Majalengka, correlated northwest to southeast. The progradation pattern indicated by thickening of sandstone into the basin area are shown. F1 – heterolithic sandstone-mudstone 1; F2 – heterolithic sandstone-mudstone 2; F3 – mudstone facies; F4 – heterolithic fine sand and mudstone; F5 – conglomeratic to massive sandstone facies (Muljana 2012).
Text-fig. 4. a: Conglomeratic to massive sandstone facies 1, facies A are composed of Andesit (AF), Clay (CF) and Sandstone (SF) fragments lain on medium-sandstone. b: Conglomeratic to massive sandstone facies, outcropping of massive sandstone facies comprises of fine to medium grain size of grey to yellowish sandstone. c: Heterolithic sandstone-mudstone facies, intercalation of fine sand with silt and shale as type form of heterolithic sandstone mudstone as indicated by a high sand/shale ratio. d: Example outcrops of heterolithic sandstone-mudstone 2 indicated by low sand/shale ratio. e: Heterolithic fine sand and mudstone and mudstone facies, intercalation of thin sandstone and shale. f: Representative of slump deposits outcrops belong to conglomeratic to massive sandstone facies, which is indicated by the intercalation of sandstone and shale and some disturbed beds or layers as seen in slump deposits. The facies type is normally deposited within the basin floor, channel margin or as a product of the overbank deposits. In this figure the slump deposit is shown as internal bedding, some occurred on the bedding-plane. Trend slope measurement of the fold-axis revealed values N 135°E and N 108°E. in Lithofacies And Ichnofacies Of Turbidite Deposits, West Java, Indonesia
Text-fig. 4. a: Conglomeratic to massive sandstone facies 1, facies A are composed of Andesit (AF), Clay (CF) and Sandstone (SF) fragments lain on medium-sandstone. b: Conglomeratic to massive sandstone facies, outcropping of massive sandstone facies comprises of fine to medium grain size of grey to yellowish sandstone. c: Heterolithic sandstone-mudstone facies, intercalation of fine sand with silt and shale as type form of heterolithic sandstone mudstone as indicated by a high sand/shale ratio. d: Example outcrops of heterolithic sandstone-mudstone 2 indicated by low sand/shale ratio. e: Heterolithic fine sand and mudstone and mudstone facies, intercalation of thin sandstone and shale. f: Representative of slump deposits outcrops belong to conglomeratic to massive sandstone facies, which is indicated by the intercalation of sandstone and shale and some disturbed beds or layers as seen in slump deposits. The facies type is normally deposited within the basin floor, channel margin or as a product of the overbank deposits. In this figure the slump deposit is shown as internal bedding, some occurred on the bedding-plane. Trend slope measurement of the fold-axis revealed values N 135°E and N 108°E.
Text-fig. 3. "Rzehakia beds" at Líšeň-Neklež locality. 1 – topsoil, 2 – greenish-gray clay, locally yellow-brown, 3 – ochre-brown coarse sand, 4 – conglomerate with clasts of granodiorite, 5 – grey-brown medium-grained sand, 6 – light yellowish fine sand, 7 – re-sedimented red-brown eluvium of granodiorite, 8 – re-sedimented red-brown granodiorite debris, 9 – granodiorite, 10 – fossil macroflora. in A New Early Miocene (Ottnangian) Flora Of The "Rzehakia Beds" From Brno-Líšeň
Text-fig. 3. "Rzehakia beds" at Líšeň-Neklež locality. 1 – topsoil, 2 – greenish-gray clay, locally yellow-brown, 3 – ochre-brown coarse sand, 4 – conglomerate with clasts of granodiorite, 5 – grey-brown medium-grained sand, 6 – light yellowish fine sand, 7 – re-sedimented red-brown eluvium of granodiorite, 8 – re-sedimented red-brown granodiorite debris, 9 – granodiorite, 10 – fossil macroflora.
Fig. 6 in Morphological and DNA-based description of TRiChophoRomyiA peixotoi n. sp. (Diptera: Psychodidae), a new sand fly species from the Brazilian Amazon
Fig. 6 Phylogenetic gene tree based on COI DNA barcodes of Trichophoromyia spp. Numbers near nodes indicate bootstrap values above 50. Lateral grey bars indicate the MOTU species delimitation partitions made by the algorithms ABGD and RESL
Fig. 5 Trichophoromyia peixotoi n in Morphological and DNA-based description of TRiChophoRomyiA peixotoi n. sp. (Diptera: Psychodidae), a new sand fly species from the Brazilian Amazon
Fig. 5 Trichophoromyia peixotoi n. sp. holotype. Genital filaments, with a focus on the apex of aedeagal duct (scale bar: 200 μm)
Fig. 2 in Morphological description of Pintomyia (Pifanomyia) veintemillaSi n. sp., a new sand fly species from the sub-Andean region of Bolivia
Fig. 2 Pintomyia (Pif.) veintemillasi n. sp. female. a head frontal view; b antennomer fII; c cibarium and pharynx; d cibarium; e laciniae of the maxillae; f sternite 2; g spermatheca; h rapid view of a complete genitalia; i wing. Scales are in mm
Fig. 1 in Morphological description of Pintomyia (Pifanomyia) veintemillaSi n. sp., a new sand fly species from the sub-Andean region of Bolivia
Fig. 1 Pintomyia (Pif.) veintemillasi n. sp. male. a Head frontal view; b antennomer fII; c cibarium and pharynx; d sternite 2; e genitalia profile; f paramere and aedeagus, in lateral view; g genital pump and genital filaments; h wing. Scales are in mm
Fig. 4 Trichophoromyia peixotoi n in Morphological and DNA-based description of TRiChophoRomyiA peixotoi n. sp. (Diptera: Psychodidae), a new sand fly species from the Brazilian Amazon
Fig. 4 Trichophoromyia peixotoi n. sp. holotype (A and C), and paratype M2 (E-16395) (B and D): A, B Male terminalia, lateral view (scale bar: 100 μm). C, D Paramere, lateral view (scale bar: 20 μm)
Fig. 7 Phlebotomus creticus n in Sand fly fauna of Crete and the description of PhleboToMUS (AdleRIUS) CReTICUS n. sp. (Diptera: Psychodidae)
Fig. 7 Phlebotomus creticus n. sp. female. a Head. b Mouth parts (mandible, maxilla, hypopharynx and labrum, respectively). c labial furca. d Palp. e Third palpal article. f Flagellomeres 1, 2, 3, 12, 13 and 14; G pharynx. h Cibarium. i Spermathecae. j Genital fork. k Body of the spermathecae. l Wing
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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.