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292 results for “Coins”
coin_dataset
<p>Nuestro dataset consiste en una lista de las 100 mejores criptomonedas con 10 observaciones cada una recojidas durante 10 minutos y ordenadas según su capitalización de mercado, junto a algunos de los datos que hemos considerado más relevantes para su análisis.</p> <p>En total contiene 1000 observaciones con 7 variables, lo que da un volumen de 7000 datos.</p>
Maharashtra, region of ancient Vidarbha show distribution of known archaeological sites and coin finds.
<p>Maharashtra, region of ancient Vidarbha show distribution of known archaeological sites and coin finds.</p>
Sealing in terracotta impressed with a cast of a Yaudheya coin; coarse granular on the reverse
<p>Sealing in terracotta impressed with a cast of a Yaudheya coin; coarse granular on the reverse. British Museum 1892,1014.50.b.</p> <p> </p> <p> </p>
Sealing in terracotta impressed with a cast of a Yaudheya coin; smooth on the reverse.
<p>Sealing in terracotta impressed with a cast of a Yaudheya coin; smooth on the reverse. British Museum 1892,1014.50.e.</p>
Initial Coin Offering database
<p>The dataset contains the raw data for the scientific paper "ICO Investors", forthcoming in Financial Markets and Portfolio Management. In an initial coin offering (ICO, sometimes also called token generation event or TGE), an entrepreneur raises capital by selling a newly-minted cryptocurrency or “utility-token” to the public. The dataset contains detailed data for about 300 successfully completed ICOs that took place before March 2018 and raised at least 1,000,000 CHF. The database has detailed information on the ICO itself (e.g., money raised, existence of soft cap and/or hard cap, size of presale and crowdsale, magnitude of discounts for early investors, time until funding goals reached, legal form of the entity conducting the ICO), on regulatory procedures (e.g., know your customer and anti-money laundering rules respected, restrictions on sales to certain countries, token structured as simple agreement for future tokens (SAFT)) as well as on the entrepreneurs and products offered (e.g., background, country of incorporation, prototype of product / code available). </p>
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>
Various PLD renderings of a Carausius Antoninianus coin (Zuid-Beveland, NED)
<p>Renderings of 4 variants based on one Portable Light Dome (by KU Leuven) image dataset of both sides of the coin.</p> <p>Line 1: Standard visual representation with the recorded texture, any reflection with highlights are removed by the photometric stereo algorithm.<br> Line 2: Representation without the recorded texture, a so-called shaded image. Only the surface geometry and the shading of a particular selected virtual light setting casted on the surface are visualized.<br> Line 3: Normal maps, this 2D representation reveals 3D information. Every pixel in the image reveals information in what direction that point on the original surface is geometrically oriented. Pixels with blue shades are oriented towards the camera, the green shades towards the left upper corner, the red shades towards the right lower corner (Based on this information the PLD system can generate 3D models of the imaged surfaces, see line 4).<br> Line 4: Orthophoto of a 3D rendering of the PLD image dataset. On the 3D models a radiance scaling filter differentiates and accentuates the relief features. A particular virtual light casts light on the surface dropping shadows. </p>
Coin Images Seibersdorf
<p>A competition to find the best automated coin classification algorithm, with a prize sponsored by the MUSCLE Network of Excellence, was organised in 2006. The training and test images for the competition are from the <em>Coin Images Seibersdorf</em> (CIS) database, created as a result of the changeover from 12 European currencies to the Euro. The results were presented at a workshop held in September 2006 at the Heinrich Hertz Institute in Berlin in conjunction with the 28<sup>th</sup> Annual Symposium of the German Association for Pattern Recognition (DAGM).</p> <p>The training data provided to the participants consists of 30000 coins, corresponding to 60000 images (as the front and back of each coin is imaged). These are divided into 692 <em>coin classes</em> with 2270 different <em>coin face classes</em>. There are more coin face classes than coin classes, as some coins changed their appearance over time, when new coin series were issued or designs to mark special occasions were introduced. Rather inaccurate measurements of the diameter and thickness of each coin made by light sensors were also provided.</p>
Dataset: GraniteShares 2x Long COIN Daily ETF (CONL) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Coinbase Global, Inc. (COIN) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: COIN (COIN) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Coinbase Global, Inc. (COIN) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Text-fig. 6. a. Vertical section showing part of body-chamber of a Cenoceras in the top of the Main Cenoceras Bed associated with attached oysters below and stringers of crinoid debris below and stretching laterally. Coin 23 mm in diameter. b. Complete lateral half of conch showing intact and elastically deformed septa on which rests crinoid debris that spreads across the exposed septa and onto the adjacent substrate. Conch approximately 180 mm in diameter. c. Individual showing dispersed crinoid and molluscan debris within body-chamber and septa in the crushed inner whorls that have taken a sparite cement prior to, and after having undergone brittle deformation. 160 mm in diameter. d. Vertically embedded specimen showing the loss of septa in the inner whorls that are infilled with matrix mottled by bioturbation. Tape measure provides scale. in 'Cenoceras Islands' In The Blue Lias Formation (Lower Jurassic) Of West Somerset, Uk: Nautilid Dominance And Influence On Benthic Faunas
Text-fig. 6. a. Vertical section showing part of body-chamber of a Cenoceras in the top of the Main Cenoceras Bed associated with attached oysters below and stringers of crinoid debris below and stretching laterally. Coin 23 mm in diameter. b. Complete lateral half of conch showing intact and elastically deformed septa on which rests crinoid debris that spreads across the exposed septa and onto the adjacent substrate. Conch approximately 180 mm in diameter. c. Individual showing dispersed crinoid and molluscan debris within body-chamber and septa in the crushed inner whorls that have taken a sparite cement prior to, and after having undergone brittle deformation. 160 mm in diameter. d. Vertically embedded specimen showing the loss of septa in the inner whorls that are infilled with matrix mottled by bioturbation. Tape measure provides scale.
RTI simulated imagery - Coin-like object with and without surface markings
<p>A set of simulated reflectance transformation imaging (RTI) acquisitions using the 3D model of a coin-like object. One set is simulated with the base model and the other is with some markings created on the surface. The images were simulated using Blender.</p> <p>Each acquisitions contained the simulated RGB images as well as depth maps and normal maps computed by Blender using the 3D model. Also included are the .blend files used for the simulations which include the 3D models. There is also a .lp file which describes the light positions used.</p>
Coin of the first Tsar of Russia Ivan III.
Monetary unit: denga. Denomination: 1. Year of issue: 1473-1485. Material: silver. Ivan III Vasilievich (1440–1505) - the Grand Duke of Moscow from 1462 to 1505, the sovereign of all Russia, in some documents he was titled tsar, in a number of foreign sources he was called the Kaiser and the Emperor. The result of the reign of Ivan III was the unification of a significant part of the Russian lands around Moscow and its transformation into the center of a single Russian state, for which he received the nickname "collector of the Russian land." In particular, under him the current coat of arms of Russia was adopted - a two-headed eagle. The final liberation of the country from the Horde dependence was achieved; adopted the Code of Laws - a set of laws of the state; a number of reforms were carried out that laid the foundations of the local system of land tenure; the current Moscow Kremlin and the main cathedral of the Russian state - the Assumption Cathedral were built. Source: Objaverse 1.0 / Sketchfab
Coin from Viking age - Sigtrygg Silkbeard
Silver coin wich was part of a bog find from late iron age/ viking age. Irsish Sigtrygg Silkbeard. Museums ID: S3400a Found in: Foldøy- Rogaland - Norway Dated to: 1051-1055 A.D. Source: Objaverse 1.0 / Sketchfab
Kultaraha, Gulden, Gold Coin KM42077:1
Tätä huonolaatuista guldenia kutsutaan Arnoldsguldeniksi herttua Arnold van Egmondin mukaan. Raha on lyöty Gelderlandin herttuakunnassa, joka nykyään on provinssi Alankomaissa, 1423–1472. Löytöpaikka Rauma. Denna underhaltiga gulden kallas för Arnoldsgulden efter hertig Arnold van Egmond. Myntet är präglat i hertigdömet Gelderland, nuförtiden en provins i Nederländerna, 1423–1472. Fyndplats Rauma. This substandard gulden is called Arnoldsgulden after duke Arnold van Egmond. The coin is minted in the duchy of Guelders, nowadays a province of the Netherlands, 1423–1472. Arkeologiset kokoelmat, Museovirasto Arkeologiska samlingar, Museiverket Archaeological Collections, Finnish Heritage Agency Created in RealityCapture by Capturing Reality from 248 images in 00h:42m:37s. Source: Objaverse 1.0 / Sketchfab
CS:GO Operation Bravo Coins
Models of CS:GO Operation Bravo Coins. Materials were adjusted by eye Credits: Valve Source: Objaverse 1.0 / Sketchfab
Coin of Emperor Paul I (1798)
Денежная единица: копейка. Номинал: 1. Год выпуска: 1798 год. Екатеринбургский монетный двор. Материал: медь. Гурт: шнур вправо. Диаметр: 27 мм/ Monetary unit: penny. Denomination: 1. Year of issue: 1798. Yekaterinburg Mint. Material: copper. Edge: cord to the right. Diameter: 27 mm. Reign of Emperor Paul I. Source: Objaverse 1.0 / Sketchfab
Just a €1 coin
Working with normals to make a great quality project with a low poly count using high resolution textures. Normal maps were made by making very high poly renders of the coin using render engine Workbench with MatCap Normal lighting Source: Objaverse 1.0 / Sketchfab
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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)
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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.