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45 results for “Crypto”
Fig. 7 in Postnatal Ontogeny Of The Skull In Th E Ex Tant North Am Eric An Turtle Sternotherus Odoratus (Crypto Dir A: Kinosterni Dae) G A B E S. B E V Er
Fig. 7. Photographs and line drawings of the left lateral view of the skull of Sternotherus odoratus based on the least mature (M-2980, A) and most mature (M-2983, B) specimens from the SMRS.
Fig. 6 in Postnatal Ontogeny Of The Skull In Th E Ex Tant North Am Eric An Turtle Sternotherus Odoratus (Crypto Dir A: Kinosterni Dae) G A B E S. B E V Er
Fig. 6. Photographs and line drawings of the dorsal and ventral views of the skull of Sternotherus odoratus based on the most mature specimen from the SMRS (M-2983).
Fig. 3 in Postnatal Ontogeny Of The Skull In Th E Ex Tant North Am Eric An Turtle Sternotherus Odoratus (Crypto Dir A: Kinosterni Dae) G A B E S. B E V Er
Fig. 3. Continuous characters included in morphometric and growth analyses. Numbers refer to character descriptions in text. Dorsal view of skull (A), ventral view of skull (B), left lateral view of skull (C), rostral view of skull (D), dorsal view of lower jaw (E), and left lateral view of lower jaw (F).
Fig. 32 in Postnatal Ontogeny Of The Skull In Th E Ex Tant North Am Eric An Turtle Sternotherus Odoratus (Crypto Dir A: Kinosterni Dae) G A B E S. B E V Er
Fig. 32. Photographs and line drawings of the dorsal surface of the parabasisphenoid in M-2990 (A), M-2978 (B), and M-2982 (C), and a caudal view of the parabasisphenoid in articulation with the prootic and pterygoid in M-2982 (D). Note the variable development of the rostrum basisphenoidale (rb), trabeculae (tr), and the caudolateral concavities that contribute to the ventral margin of the cavum labyrinthicum (cl).
Fig. 2 in Postnatal Ontogeny Of The Skull In Th E Ex Tant North Am Eric An Turtle Sternotherus Odoratus (Crypto Dir A: Kinosterni Dae) G A B E S. B E V Er
Fig. 2. Relationship between carapace length and plastron length (A), condylobasal length (B), and greatest length of the skull (C) for Sternotherus odoratus from the SMRS.
Fig. 1 in Postnatal Ontogeny Of The Skull In Th E Ex Tant North Am Eric An Turtle Sternotherus Odoratus (Crypto Dir A: Kinosterni Dae) G A B E S. B E V Er
Fig. 1. Phylogenetic hypotheses regarding the systematic position of Sternotherus odoratus. The sister taxon to Kinosternoidea within Cryptodira is currently a point of contention (Meylan and Gaffney, 1989; Krenz et al., 2005; Near et al., 2005). Kinosternoidea here is considered to reflect the crown-clade of Kinosternidae + Dermatemys. This usage follows Joyce et al. (2004) and reflects the unresolved position of Emarginachelys (Shaffer et al., 1997). Asterisks (*) denote extinct lineages.
Fig. 15 in Postnatal Ontogeny Of The Skull In Th E Ex Tant North Am Eric An Turtle Sternotherus Odoratus (Crypto Dir A: Kinosterni Dae) G A B E S. B E V Er
Fig. 15. Photograph and line drawing of the rostroventral surface of the left quadrate and basicranium of M-2981. Note the relatively close approximation of the laterally positioned quadratojugal to the articular surface of the quadrate, and contact between the quadrate ramus of pterygoid and the articular surface of quadrate.
Fig. 28 in Postnatal Ontogeny Of The Skull In Th E Ex Tant North Am Eric An Turtle Sternotherus Odoratus (Crypto Dir A: Kinosterni Dae) G A B E S. B E V Er
Fig. 28. Photographs and line drawings of the left basicranial region in posterolateral view through the fenestra postotica in M-2983 (A) and M-2995 (B). Note the increased ossification in M-2983 (a large, mature male) relative to M-2995 (an immature male). This increased ossification is especially apparent around the fenestra ovalis (fo) and the lateral margin of the foramen jugular posterius (fjp). The columella auris is absent in both specimens.
Fig. 29 in Postnatal Ontogeny Of The Skull In Th E Ex Tant North Am Eric An Turtle Sternotherus Odoratus (Crypto Dir A: Kinosterni Dae) G A B E S. B E V Er
Fig. 29. Photographs and line drawings of the left basicranial region in M-2969 (A), the exoccipital and basioccipital in left lateral view in M-2960 (B), and the medial view of the prootic and opisthotic in M-2964 (C). The floor of the recessus scalae tympani is formed by a caudal shelf of the opisthotic and a rostral extension of the exoccipital. X in M-2960 marks a concavity in the basioccipital that accepts the distal end of the cochlear duct (cochlear recess). X in M-2964 marks the notch in the processus interfenestralis of the opisthotic through which the cochlear duct extends caudomedially.
Fig. 23 in Postnatal Ontogeny Of The Skull In Th E Ex Tant North Am Eric An Turtle Sternotherus Odoratus (Crypto Dir A: Kinosterni Dae) G A B E S. B E V Er
Fig. 23. Photographs and line drawings of the dorsal surface of the pterygoid in M-2960 (A, left) and M-2990 (B, right). The foramen caroticum laterale, which transmits the palatine artery rostrally, was closed dorsally in M-2960 by the overlying prootic, whereas in M-2990 the dorsal margin of this foramen is formed by the pterygoid. The pterygoid falls just short of forming the entire medial margin of the foramen caroticum laterale in M-2990. This margin would have been closed medially by the parabasisphenoid. Arrows show path of internal carotid artery.
Fig. 4 in Postnatal Ontogeny Of The Skull In Th E Ex Tant North Am Eric An Turtle Sternotherus Odoratus (Crypto Dir A: Kinosterni Dae) G A B E S. B E V Er
Fig. 4. Illustrations of three skeletal characters often used to estimate maturity in turtles and their graphical relationship with greatest length of the carapace for Sternotherus odoratus from the SMRS. These characters include closure of the costoperipheral fontanelles (A), closure of the ectepicondylar foramen in the humerus (B), and closure of the otic fontanelle (C). Shaded squares represent juvenile males, clear squares represent juvenile females. Shaded circles represent adult males, clear circles represent adult females. The transformation of these features during postnatal ontogeny has a variable relationship with the average carapace length at which specimens become sexually mature in southern populations of S. odoratus (dashed lines; Tinkle, 1961).
TradingView Cryptos Dataset
<p>This dataset has been created via Web Scraping with Selenium. It has 614 rows and 35 columns.</p> <p>The dataset provides trading and tecnical analysis information for different coins for the publication date.</p>
Dataset: Fidelity Crypto Industry and Digital Payments ETF (FDIG) 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.
Securing Your Crypto-API Usage Through Tool Support - A Usability Study
<p>Developing secure software is essential for protecting passwords and other sensitive data. Despite the abundance of cryptographic libraries available to developers, prior work has shown that developers often unknowingly misuse the provided Application Programming Interfaces (APIs), resulting in serious security vulnerabilities. Eclipse CogniCrypt is an IDE plugin that aims at helping developers use cryptographic APIs more easily and securely by providing three main functionalities: (1) it provides a use-case oriented view of cryptographic APIs and guides the developer through their configuration, (2) it generates the code needed to accomplish the chosen use case based on the selected choices, and (3) it continuously analyzes the developer’s code to ensure that no API misuses are introduced later. However, so far the effectiveness of CogniCrypt was never empirically evaluated. In this work, we fill this gap through a controlled experiment with 24 Java developers. We evaluate the tool’s effectiveness in reducing API misuses and saving developer time. The results show that CogniCrypt significantly improves code security and also speeds up development for cryptograph-related tasks. The feedback received during the study suggests that developers particularly appreciate CogniCrypt’s code generation. Its static-analysis is valued for keeping the code up-to-date. Yet, the further integration of generated code into a developer’s project still presents a major challenge. Nonetheless, our results show that CogniCrypt effectively helps application developers produce more secure code.</p>
Coinmarketcal events for top300 cryptos
<p>Past and upcoming events for the top 300 coins / tokens that are Release or Fork/Swap</p>
Understanding Crypto Trading
<p>added initial Datasets used in the thesis.</p>
Crypto Price Monitoring Dataset for On-chain Derivatives Research
<p># Crypto Price Monitoring Repository</p> <p>This repository contains two CSV data files that were created to support the research titled "Price Arbitrage for DeFi Derivatives." This research is to be presented at the IEEE International Conference on Blockchain and Cryptocurrencies, taking place on 5th May 2023 in Dubai, UAE. The data files include monitoring prices for various crypto assets from several sources. The data files are structured with five columns, providing information about the symbol, unified symbol, time, price, and source of the price.</p> <p>## Data Files</p> <p>There are two CSV data files in this repository (one for each date):</p> <p>1. `Pricemon_results_2022_11_01.csv`<br> 2. `Pricemon_results_2022_11_08.csv`</p> <p>## Data Format</p> <p>Both data files have the same format and structure, with the following five columns:</p> <p>1. `symbol`: The trading symbol for the crypto asset (e.g., BTC, ETH).<br> 2. `unified_symbol`: A standardized symbol used across different platforms.<br> 3. `time`: Timestamp for when the price data was recorded (in UTC format).<br> 4. `price`: The price of the crypto asset at the given time (in USD).<br> 5. `source`: The name of the price source for the data.</p> <p>## Price Sources</p> <p>The `source` column in the data files refers to the provider of the price data for each record. The sources include:</p> <p>- `chainlink`: Chainlink Price Oracle<br> - `mycellium`: Built-in oracle of the Mycellium platform<br> - `bitfinex`: Bitfinex cryptocurrency exchange<br> - `ftx`: FTX cryptocurrency exchange<br> - `binance`: Binance cryptocurrency exchange</p> <p>## Usage</p> <p>You can use these data files for various purposes, such as analyzing price discrepancies across different sources, identifying trends, or developing trading algorithms. To use the data, simply import the CSV files into your preferred data processing or analysis tool.</p> <p>### Example</p> <p>Here's an example of how you can read and display the data using Python and the pandas library:</p> <p> import pandas as pd<br> <br> # Read the data from CSV file<br> data = pd.read_csv('Pricemon_results_2022_11_01.csv')<br> <br> # Display the first 5 rows of the data<br> print(data.head())` </p> <p> </p> <p>## Acknowledgements</p> <p>These datasets were recorded and supported by <a href="https://datamint.ai">Datamint</a> company (value-added on-chain data provider) and its team.</p> <p><br> ## Contributing</p> <p>If you have any suggestions or find any issues with the data, please feel free to contact authors.</p>
crypto-detectors-evaluation-artifacts
<p>The artifacts for the paper "Towards Precise Reporting of Cryptographic Misuses" contain all reported alarms from evaluated detectors, analysis results of labeled alarms, and refined CryptoGuard as well as false positive examples.</p>
Cryptologue Arcade - Crypto Darkpaper - Crypto Color Prints - Simplementation Scheme : A Color-Coded Method For Indexing Research and Documentation
<p>Crypto Color Prints are a memorable and data-dense documentation paradigm with a color-coded, structural scheme. The scheme forms a simple framework for publishing and improving primitives and protocols with a focus on both cooperation and implementation.</p>
A model of the optimal selection of crypto assets - simulation code
<p>In the modelling we assume that crypto assets differ by two essential features: security (technological) and stability (governance). Investors make choices over crypto assets similarly to how they make choices by using a recommender app: the app presents each investor with a pair of crypto assets with certain security-stability characteristics to be compared. Each investor submits its preference for adopting one of the two assets to the app. The app, in turn, provides a recommendation on whether the proposed adoption is sensible given the assets' essential features, information about the adoption choices of all other investors, and expected future economic benefits of adoption. Investors continue making their adoption choices over all pairs of crypto assets until their expected future economic benefits can no longer be improved upon. This constitutes an optimal selection decision. We simulate optimal selection decisions considering the behaviour of different types of investors, driven by their attitudes towards assets' features. We find a variety of possible emergent outcomes for the investments in the crypto-ecosystem and the future adoption of the crypto assets.</p>
ScienceDex guides
Understand access before you commit
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.