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1,219 results for “Sand”
SAND- Sarilhos Grandes Entre Dois Mundos
Escavação arqueológica no interior da Ermida de Nossa da Piedade, Sarilhos Grandes Source: Objaverse 1.0 / Sketchfab
Check Stamped Sand Tempered Pottery Sherd
This is a body sherd of sand tempered check stamped pottery. It is currently housed in the Rollins College Archaeology Lab and is part of the Grant Groves Collection. Model made by Ashley Troutman. Source: Objaverse 1.0 / Sketchfab
Catholic relief - Roman church NMP on the Sand
One of the reliefs than can be found inside the Roman Catholic parish church NMP on the Sand in Wroclaw, Poland. Made in Agisoft Metashape from 64 photos. Source: Objaverse 1.0 / Sketchfab
Sand Tempered Plain Sherd
Sand tempered plain sherd from the Bureau of Land Management Jupiter Inlet Lighthouse Outstanding Natural Area (JILONA) To learn more about JILONA visit; https://www.blm.gov/programs/national-conservation-lands/eastern-states/jupiter-inlet-lighthouse Model by Emma Dietrich This model was made using RealityCapture software by Capturing Reality Source: Objaverse 1.0 / Sketchfab
Sand stone
Sand stone from the east of Norway. 300 million years old when the area was desert. Source: Objaverse 1.0 / Sketchfab
Data for low-clay content submarine slope failure flume experiments. Experiment 100% FG Sand 4.
<p>These video and photographic data support the following manuscripts:</p><p>Silver, M.M.W., Dugan, B., 2020, The influence of clay content on submarine slope failure: insights from laboratory experiments and numerical models, Geological Society of London, Special Publications, 500, 301-309, <a href="https://doi.org/10.1144/SP500-2019-186">https://doi.org/10.1144/SP500-2019-186</a>. </p><p>Silver, M.M.W., Dugan, B., 2023, Cohesion, permeability, and slope failure dynamics: implications for failure morphology and tsunamigenesis from benchtop flume experiments, Marine Geology, 462, <a href="https://doi.org/10.1016/j.margeo.2023.107079">https://doi.org/10.1016/j.margeo.2023.107079</a>.</p><p>Log sheets are included for each experiment file.</p>
Data for low-clay content submarine slope failure flume experiments. Experiment 100% FG Sand 2.
<p>These video and photographic data support the following manuscripts:</p><p>Silver, M.M.W., Dugan, B., 2020, The influence of clay content on submarine slope failure: insights from laboratory experiments and numerical models, Geological Society of London, Special Publications, 500, 301-309, <a href="https://doi.org/10.1144/SP500-2019-186">https://doi.org/10.1144/SP500-2019-186</a>. </p><p>Silver, M.M.W., Dugan, B., 2023, Cohesion, permeability, and slope failure dynamics: implications for failure morphology and tsunamigenesis from benchtop flume experiments, Marine Geology, 462, <a href="https://doi.org/10.1016/j.margeo.2023.107079">https://doi.org/10.1016/j.margeo.2023.107079</a>.</p><p>Log sheets are included for each experiment file.</p>
Data for low-clay content submarine slope failure flume experiments. Experiment 100% FG Sand 3.
<p>These video and photographic data support the following manuscripts:</p><p>Silver, M.M.W., Dugan, B., 2020, The influence of clay content on submarine slope failure: insights from laboratory experiments and numerical models, Geological Society of London, Special Publications, 500, 301-309, <a href="https://doi.org/10.1144/SP500-2019-186">https://doi.org/10.1144/SP500-2019-186</a>. </p><p>Silver, M.M.W., Dugan, B., 2023, Cohesion, permeability, and slope failure dynamics: implications for failure morphology and tsunamigenesis from benchtop flume experiments, Marine Geology, 462, <a href="https://doi.org/10.1016/j.margeo.2023.107079">https://doi.org/10.1016/j.margeo.2023.107079</a>.</p><p>Log sheets are included for each experiment file.</p>
Data for low-clay content submarine slope failure flume experiments. Experiment 100% FG Sand 1.
<p>These video and photographic data support the following manuscripts:</p><p>Silver, M.M.W., Dugan, B., 2020, The influence of clay content on submarine slope failure: insights from laboratory experiments and numerical models, Geological Society of London, Special Publications, 500, 301-309, <a href="https://doi.org/10.1144/SP500-2019-186">https://doi.org/10.1144/SP500-2019-186</a>. </p><p>Silver, M.M.W., Dugan, B., 2023, Cohesion, permeability, and slope failure dynamics: implications for failure morphology and tsunamigenesis from benchtop flume experiments, Marine Geology, 462, <a href="https://doi.org/10.1016/j.margeo.2023.107079">https://doi.org/10.1016/j.margeo.2023.107079</a>.</p><p>Log sheets are included for each experiment file.</p>
Data from: Phylogeographic and demographic patterns reveal congruent histories in seven Amazonian white-sand ecosystems birds
<p>Aim: As the most biodiverse region of the world, the drivers of genetic diversity in Amazonia are still poorly understood. It has been debated that species on distinct ecosystems will show unique biogeographic histories tied to their habitats which in turn help understand landscape climatic history in Amazonia. We studied bird species associated with patchy Amazonian white-sand ecosystems (WSE) to evaluate the occurrence of shared patterns and its relationship to species habitat preferences and Amazonian environmental and landscape history.</p> <p>Location: Northern South America; Amazonia.</p> <p>Taxon: Passerine birds.</p> <p>Methods: We sequenced Ultra-conserved Elements (UCEs) from 177 samples of seven bird species associated with WSE that have overlapping ranges. We used the SNP matrices and sequence data to estimate genetic structure patterns and migration surfaces using 'conStruct' and <em>eems</em>, perform model-selection to obtain the most probable demographic histories on 'PipeMaster', and implement analyses of shared demography with <em>ecoevolity</em>.</p> <p>Results: Shallow genetic structure patterns varied among species with the Amazon river being the only barrier shared among them. Population structure dates to no more than 450,000 years ago. We identified 17 geographically structured populations from which nine showed signals of population size changes and eight of these occur in Northern Amazonia. Population expansion was inferred at two distinct times: ~100,000 years ago and ~50,000 years ago. The timing of co-expanding populations is consistent with differences in habitat preference, as species that prefer dense scrubby to forested vegetation expanded more recently compared to species that prefer open vegetation.</p> <p>Main conclusions: We show that WSE species responded in concert to past environmental and landscape changes. Past population expansions were likely driven by the genesis of new WSE patches and a return to wetter conditions after glacial periods. Pleistocene climatic cycles affected the distribution and dynamics of open vegetation habitats in Amazonia, especially in the Northern region, driving genetic diversity and demographic patterns of its associated biota.</p>
Experimental Investigation of the Heat Transfer between Finned Tubes and a Bubbling Fluidized Bed with Horizontal Sand Mass Flow
<p>Data repository for the paper:</p> <p>Thanheiser, S.; Haider, M.; Schwarzmayr, P. Experimental Investigation of the Heat Transfer between Finned Tubes and a Bubbling Fluidized Bed with Horizontal Sand Mass Flow. Energies 2022, 15, 1316. https://doi.org/10.3390/en15041316</p>
CCG Starter Kits - Base SAND file for South America- Coal and Natural Gas Scenario
<p>This file is the Base SAND file for South America with coal and natural gas.</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>
CCG Starter Kits - Base SAND file for Africa
<p>This file is the Base SAND file for Africa.</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>
CCG Starter Kits - Base SAND file for South America
<p>This file is the Base SAND file for South America.</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>
CCG Starter Kits - Base SAND file for Asia
<p>This file is the Base SAND file for Asia.</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>
Labeled Images of Sand and Coins v2
<p>179 images of sand and coins, and corresponding label image masks and associated files. For the purposes of training a model for image segmentation.</p> <p>Contents:</p> <p>1. images.zip</p> <p>2. masks.zip</p> <p>3. rotimages4makesense.py</p> <p> </p> <p>images.zip contains a folder named 'images', itself containing 179 images. Imagery exif metadata have been modified to remove any 'auto-rotation' parameters, using the provided script `rotimages4makesense.py`</p> <p>masks.zip contains a folder named 'masks', itself containing 179 label images. Label images are white (value=255) where there is a coin, otherwise black (value=0)</p> <p>All images are 8-bit JPEG format and were acquired by the author. All label images were made by the author using the online program makesense.ai, downloading in VGG JSON format, then rasterizing the contents.</p> <p> </p>
Fig. 1 in Color Features Of Sand Lizards, Lacerta Agilis (Sauria, Lacertidae), In Kyiv Region (Ukraine)
Fig. 1. Map of sand lizard distribution and places of sampling in Kyiv Region:
Fig. 5 in Spatial Patterns Of Bird Communities Of The Lower Dnieper Sands During The Breeding Season: Differentiation Factors
Fig. 5. The bird abundance ratio in the separate groups of samples.
Data from: Loamy sand soil approaches organic carbon saturation after 37 years of conservation tillage
<p>This is digital research data corresponding to a published manuscript, Loamy sand soil approaches organic carbon saturation after 37 years of conservation tillage. Conservation tillage is reported to increase soil organic carbon (SOC) and total nitrogen (TN) contents, but long-term (>30 yr) field results quantifying the responses in Coastal Plain Ultisols are sparse. The distribution, accumulation, and topsoil storage of SOC and TN after 37 yr of crop production using conventional (CvT) or conservation tillage (CnT) on a Norfolk loamy sand (fine-loamy, kaolinitic, thermic, Typic Kandiudults) were quantified. Soil samples were collected annually from the 0−5-, 5−10-, and 10−15-cm depth increments beneath corn (Zea mays L.), soybean [Glycine max (L.) Merr.], and cotton (Gossypium hirsutum L.) crops.</p>
Hoofprints in the Sand Supplement S1: Site Descriptions
<p>Historical context and chronological descriptions for the sites which produced samples used in the size and shape change analyses, as described 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 included edits and updates based on peer review.</p> <p>v.3 changed the spelling of Tel Shiqmona</p>
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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.