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1,219 results for “Sand”
Video files linked in Coleman and Burge, "Association behavior between sand tiger sharks and round scad is driven by mesopredators"
<p>Videos referred to in the Results, Table 1, Figure 2, and Figure 3 of Coleman and Burge "Association behavior between sand tiger sharks and round scad is driven by mesopredators" are included here. Table S2 lists a description of each video (Descriptions), date (Date of occurrence) and time (Clock time of occurrence) of footage, a timing reference to the description within the video (video time), and a link to Youtube (Video reference) of the same footage. Note that file uploads for videos for views of the field site at Frying Pan Tower (in Materials and Methods and Table S2; <a href="https://www.youtube.com/playlist?list=PLK1g13VpyT6oYUJL7U3hRPlt2U5L_mcKL">https://www.youtube.com/playlist?list=PLK1g13VpyT6oYUJL7U3hRPlt2U5L_mcKL</a>) are not included with these uploads as no data or observations are derived from these videos.</p>
Stochastic modeling of sediment connectivity for reconstructing sand fluxes and origins in the unmonitored Se Kong, Se San, and Sre Pok tributaries of the Mekong River
<p>Sediment supply to rivers, subsequent fluvial transport, and the resulting connectivity on network-scales are often sparsely monitored or subject to major uncertainty. Hence, we propose to adopt stochastic modeling approaches for studying network sediment connectivity. We demonstrate such a stochastic approach for modeling sand connectivity in the major, poorly monitored Se Kong, Se San, and Sre Pok (3S) tributaries of the Mekong River. Specifically, we run many random initializations of the CASCADE modeling framework for sediment connectivity in a Monte Carlo approach in order to quantify how unknown properties of sediment sources translate into uncertainty regarding network sediment connectivity. We identify a reduced ensemble of model realizations that reproduces downstream observations of sediment transport. This ensemble presents an inverse stochastic approximation of the spatial distribution, magnitude, and variability of transport capacity, sediment flux, and bed material grain size in the entire network (i.e., upscaling point observations to the entire network). The approximated magnitude of sediment flux in each tributary is controlled by reaches of low transport capacity (“bottlenecks”). These “bottlenecks” limit the ability of the inverse stochastic approximation to predict sediment transport in the upper parts of the catchment but they allow a clear partitioning of sand deliveries from the 3S to the Mekong, with the Se Kong delivering less (1.9 Mt/yr) and coarser (median grain size: 0.4 mm) sand than the Se San (5.3 Mt/yr, 0.22 mm) and Sre Pok (11 Mt/yr, 0.19 mm).</p>
Global Sand Dams Dataset
<p>The Global Sand Dams Dataset (GSDD) contains data on sand dams location, year of construction, water access, and characteristics, including dams’ crest length, throwback and stream width. </p>
Abdominal colour patterns of the sand diving spider Ammoxenus amphalodes (Araneae: Gnaphosidae) from South Africa
<p>The two types of abdominal patterns found in <em>Ammoxenus</em> species are discussed, with emphasis on <em>A. amphalodes</em> Dippenaar & Meyer, 1980. With images of live specimens, the two patterns are shown. Within the genus, there is large interspecific similarity, but intraspecific variability regarding the abdominal colour pattern. Due to these variations found species are sometimes wrongly identified.</p>
F I G U R E 1 in Sharks checking in to the sponge hotel: First internal use of sponges of the genus Agelas and family Irciniidae by banded sand catsharks Atelomycterus fasciatus
F I G U R E 1 Location of Gascoyne Marine Park (MP) (orange boundary), Ningaloo MP (white boundary), Dampier MP (blue boundary), Montebello MP (yellow boundary), and Eighty Mile Beach MP (black boundary) off Western Australia.
Data for Spectral Induced Polarization of ZVI-AC-Sand Mixtures in Groundwater Remediation
<p>这是手稿“揭开地下水修复中 ZVI-AC-Sand 混合物的光谱诱导极化响应”的初始数据</p>
Fig. 2 in A New Species of the Sand-burrowing Dogielinotidae, Haustorioides furotai, from Tokyo Bay, Japan (Crustacea: Amphipoda)
Fig. 2. Haustorioides furotai Ogawa, sp. nov., photographs of live animals. A, Paratype female (NSMT-Cr 28351), 7.2 mm; B, holotype, male (NSMT-Cr 28350), 7.2 mm. Scale bar: 1 mm.
Fig. 1. Map showing a in A New Species of the Sand-burrowing Dogielinotidae, Haustorioides furotai, from Tokyo Bay, Japan (Crustacea: Amphipoda)
Fig. 1. Map showing a collecting site, Banzu tidal flat, Kisarazu City, Chiba Prefecture, Japan (filled circle).
Fig. 8 in A New Species of the Sand-burrowing Dogielinotidae, Haustorioides furotai, from Tokyo Bay, Japan (Crustacea: Amphipoda)
Fig. 8. Haustorioides furotai Ogawa, sp. nov., paratype, female (NSMT-Cr 28351), 9.0 mm. A, Left pereopod 4; B, left pereopod 5.
Fig. 4 in A New Species of the Sand-burrowing Dogielinotidae, Haustorioides furotai, from Tokyo Bay, Japan (Crustacea: Amphipoda)
Fig. 4. Haustorioides furotai Ogawa, sp. nov., holotype, male (NSMT-Cr 28350), 7.2 mm A, Left gnathopod 1; B, palm of left gnathopod 1; C, left gnathopod 2; D, left pereopod 3; E, left pereopod 4.
Fig. 5 in A New Species of the Sand-burrowing Dogielinotidae, Haustorioides furotai, from Tokyo Bay, Japan (Crustacea: Amphipoda)
Fig. 5. Haustorioides furotai Ogawa, sp. nov., holotype, male (NSMT-Cr 28350), 7.2 mm. A, Left pereopod 5; B, left pereopod 6; C, left pereopod 7.
Fig. 7 in A New Species of the Sand-burrowing Dogielinotidae, Haustorioides furotai, from Tokyo Bay, Japan (Crustacea: Amphipoda)
Fig. 7. Haustorioides furotai Ogawa, sp. nov., paratype, female (NSMT-Cr 28351), 9.0 mm. A, Left gnathopod 2; B, left pereopod 3.
Labeled Images of Sand and Coins
<p>The dataset consists of images and associated binary masks, as well as augmented images and associated masks. Images depict sand and coins. Masks depict the coin (white) against a sand background (black).</p> <p>There are 132 augmented images and 132 images and associated labels in jpg format</p> <p>The principal purpose is to provide a dataset to help train a model or design an algorithm to segment the image from the coin background</p> <p> </p>
CCG Starter Kits - Technology-specific data for Base SAND file
<p>These files contain the Capacity Factors and Residual Capacity values for all countries needed for filling in the information in the base SAND file.</p> <p>This is published as part of the MethodsX paper titled <strong>How to put together a Starter Data Kit from scratch? An extensive methodology to compile zero-order energy transition models. </strong>The main goal of the files published for this paper is to develop a set of credible data and an initial investment model for several developing countries.</p>
Data for "Examining functional impact and trophic morphology of small, sand-sifting fishes on coral reefs"
<p>This data is the product of the study published as "<strong>Examining functional impact and trophic morphology of small, sand-sifting fishes on coral reefs </strong>"</p> <p>It contains:<br> Feeding depth count of the two fish species used</p> <p>Granulometry on the experimental sediment</p> <p>Gut content analysis of the 8 fish used in the experiment. Measurements of maximum and minimum size of each individual prey item noted.</p> <p>Feeding experiment count data. ID and count data of meiobenthos (benthic meiofauna) found during the feeding experiment. The benthic community was assessed in 3 replicates for each fish individual at each timepoint. See the methods in publications for details or contact the Ole Brodnicke or Camilla Hansen for details. </p>
Fig. 2 in Morphological Features Of The Digestive Tube In Sand Lizards, Lacerta Agilis (Sauria, Lacertidae)
Fig. 2. Fragment of microscopic structure of stomach wall of sand lizard: 1 — stomach wall; 2 — stomach contents; 3 — gastric glands; 4 — columnar epithelium; 5 — cubic epithelium. Hematoxilin and eosin. ×100; 400.
Fig. 5 in Morphological Features Of The Digestive Tube In Sand Lizards, Lacerta Agilis (Sauria, Lacertidae)
Fig. 5. Fragment of microscopic structure of large intestine of sand lizard: 1 — intestine wall; 2 — epithelial cells; 3 — lymphoid formations. Hematoxilin and eosin. ×100; 400.
Fig. 1 in Morphological Features Of The Digestive Tube In Sand Lizards, Lacerta Agilis (Sauria, Lacertidae)
Fig. 1. The topography of internal organs of sand lizard: (A): 1 — heart; 2 — lung; 3 — liver; 4 — stomach; 5 — small intestine; 6 — large intestine; 7 — ovary; (B): 1 — tongue; (C): 1 — stomach; 2 — pylorus; 3 — small intestine.
Fig. 3 in Morphological Features Of The Digestive Tube In Sand Lizards, Lacerta Agilis (Sauria, Lacertidae)
Fig. 3. Fragment of microscopic structure of duodenum of sand lizard: 1 — wall of villus; 2 — epithelial cells; 3 — stroma of villus. Hematoxilin and eosin. ×100; 400.
Fig. 4 in Morphological Features Of The Digestive Tube In Sand Lizards, Lacerta Agilis (Sauria, Lacertidae)
Fig. 4. Fragment of microscopic structure of jejunum of sand lizard: 1 — wall of villus; 2 — fragment of nutrition between two villi; 3 — epithelial cells; 4 — stroma of villus. Hematoxilin and eosin. ×100; 400.
ScienceDex guides
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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.