🇬🇧 영국 English OS NGD API – Features gives you simple access to the OS National Geographic Database (OS NGD). Get started quickly and request the data you need, as and when you need it, using the latest in API standards (based on the OGC API – Features specification). This API is self-documenting and allows you to easily discover what OS NGD data is available before using it. Explore the various data collections for free to decide what best suits your needs. The data is ideal for geospatial analysis, provided in GeoJSON format and ready to use in many applications (desktop, web and mobile). With OS NGD API – Features, you can filter by attribute, location and time to create your own customised data selections.

New Gold reported $262.2M in Sales Revenues for its fiscal quarter ending in December of 2024. Data for New Gold | NGD - Sales Revenues including historical, tables and charts were last updated by Trading Economics this last June in 2025.

Dataset for NGD study including stress perfusion characteristics and clinical outcomes

New Gold reported $55.1M in Net Income for its fiscal quarter ending in December of 2024. Data for New Gold | NGD - Net Income including historical, tables and charts were last updated by Trading Economics this last July in 2025.

The OS National Geographic Database (NGD) Transport Theme provides a definitive network dataset and topographic depiction of Great Britain's roads, tracks and paths. It brings Ordnance Survey's large-scale road and path content, and routing information together with authoritative information from the National Street Gazetteers (NSGs) and the Trunk Road Street Gazetteer (TRSG). This table demonstrates the geographical extents of features representing, describing or limiting the extents of pathways. A path is defined as any established way other than a road or track. This dataset is available to local authority partners. To request access contact the Data Insight Team.

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The shown network measures are averaged over networks.

Parameters used to generate the NGD and DMC networks shown in table 2.

OS NGD API – A funkciók egyszerű hozzáférést biztosítanak az OS National Geographic Database (OS NGD) adatbázishoz. Kezdje el gyorsan, és kérje meg a szükséges adatokat, ahogy és amikor szüksége van rájuk, a legújabb API-szabványok használatával (az OGC API – Features specifikáció alapján).

Ez az API öndokumentáció, és lehetővé teszi, hogy könnyen felfedezzék, milyen OS NGD adatok állnak rendelkezésre használat előtt. Fedezze fel a különböző adatgyűjtéseket ingyenesen, hogy eldöntse, mi felel meg legjobban az Ön igényeinek. Az adatok ideálisak térinformatikai elemzéshez, GeoJSON formátumban és számos alkalmazásban (asztali, webes és mobil) használatra készek.

Az OS NGD API – Jellemzők segítségével attribútum, hely és idő szerint szűrheti a saját személyre szabott adatkiválasztásokat.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Is NGD:TSX Stock Buy or Sell?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

No-go Decay (NGD) is a process that has evolved to deal with stalled ribosomes resulting from structural blocks or aberrant mRNAs. The process is distinguished by an endonucleolytic cleavage prior to degradation of the transcript. While many of the details of the pathway have been described, the identity of the endonuclease remains unknown. Here we identify residues of the small subunit ribosomal protein Rps3 that are important for NGD by affecting the cleavage reaction. Mutation of residues within the ribosomal entry tunnel that contact the incoming mRNA leads to significantly reduced accumulation of cleavage products, independent of the type of stall sequence, and renders cells sensitive to damaging agents thought to trigger NGD. These phenotypes are distinct from those seen in combination with other NGD factors, suggesting a separate role for Rps3 in NGD. Conversely, ribosomal proteins ubiquitination is not affected by rps3 mutations, indicating that upstream ribosome quality control (RQC) events are not dependent on these residues. Together, these results suggest that Rps3 is important for quality control on the ribosome and strongly supports the notion that the ribosome itself plays a central role in the endonucleolytic cleavage reaction during NGD.

New Gold reported $399.7M in Debt for its fiscal quarter ending in December of 2024. Data for New Gold | NGD - Debt including historical, tables and charts were last updated by Trading Economics this last June in 2025.

Historical dividend payout and yield for New Gold (NGD) since 1971. The current TTM dividend payout for New Gold (NGD) as of December 31, 1969 is $0.00. The current dividend yield for New Gold as of December 31, 1969 is 0.00%.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

NGD:TSX New Gold Inc.

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

This paper explores an original research work on multiband metallized-permittivity measurement method for copper-clad substrates based on bandpass (BP) negative group delay (NGD) ring circuit. The multiband permittivity extraction formula from NGD center frequency harmonics is established from S-parameter model. The BP-NGD function specifications of are defined. The BP-NGD ring resonator (RR) proof-of-concept (PoC) consists of linearly coupled loops implemented in microstrip technology.

New Gold eps - earnings per share from 2010 to 2025. Eps - earnings per share can be defined as a company's net earnings or losses attributable to common shareholders per diluted share base, which includes all convertible securities and debt, options and warrants.

All files are the data about quad-band negative group delay circuit.

New Gold operating income from 2010 to 2025. Operating income can be defined as income after operating expenses have been deducted and before interest payments and taxes have been deducted.

New Gold net income from 2010 to 2025. Net income can be defined as company's net profit or loss after all revenues, income items, and expenses have been accounted for.

New Gold reported $118.7M in Stock for its fiscal quarter ending in December of 2024. Data for New Gold | NGD - Stock including historical, tables and charts were last updated by Trading Economics this last July in 2025.