The NorWeST webpage hosts stream temperature data and climate scenarios in a variety of user-friendly digital formats for streams and rivers across the western U.S. The temperature database was compiled from hundreds of biologists and hydrologists working for >100 resource agencies and contains >200,000,000 hourly temperature recordings at >20,000 unique stream sites. Those temperature data were used with spatial statistical network models to develop 36 historical and future climate scenarios at 1-kilometer resolution for >1,000,000 kilometers of stream. Temperature data and model outputs, registered to NHDPlus stream lines, are posted to the website after QA/QC procedures and development of the final temperature model within a river basin. Open access to the data and the availability of accurate stream temperature scenarios will foster new research and collaborative relationships that enhance management and conservation of aquatic resources. Funding for the project was provided by the GNLCC and NPLCC with additional funds and in-kind support from the USFS, USGS, USFWS, NFWF, California Fish Passage Forum, and NASA. Resources in this dataset:Resource Title: Website Pointer to NorWeST Stream Temperature Regional Database and Model. File Name: Web Page, url: https://www.fs.fed.us/rm/boise/AWAE/projects/NorWeST.html The NorWeST webpage hosts stream temperature data and climate scenarios in a variety of user-friendly digital formats for streams and rivers across the western U.S. The temperature database was compiled from hundreds of biologists and hydrologists working for >100 resource agencies and contains >200,000,000 hourly temperature recordings at >20,000 unique stream sites. Those temperature data were used with spatial statistical network models to develop 36 historical and future climate scenarios at 1-kilometer resolution for >1,000,000 kilometers of stream. Temperature data and model outputs, registered to NHDPlus stream lines, are posted to the website after QA/QC procedures and development of the final temperature model within a river basin.

The National Soil Inventory (NSI) site data is a spatial, point dataset with 6127 points, located in a 5km grid across England and Wales. NSI site provides a in depth description of the general land features at each of the NSI points across England and Wales. NSI site contains data on the land use, slope, slope form, influence of man on the landscape, rock outcrops, the altitude, aspect, erosion and deposition features and a description of the rock type. As such, NSI site gives a comprehensive description of the sites in which these inventory points were taken.

NSI features derives many parameters beneficial for modelling soils. These parameters, derived from readings and measurements taken at the NSI site include the depth from the surface to various layers, as well as providing information on the amount of risk that is posed to this soil by erosion and flooding. This dataset will prove important for those wanting a good understanding of the depths of the various layers in the soil profile, and those interested in mapping risks.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Customs records of are available for NSI PRODUCTS LIMITED. Learn about its Importer, supply capabilities and the countries to which it supplies goods

Magnetic Suseptibility

NSI Projection: Population data was reported at 46,181,058.000 Person in 2040. This records an increase from the previous number of 45,237,348.000 Person for 2039. NSI Projection: Population data is updated yearly, averaging 36,403,929.000 Person from Dec 2018 (Median) to 2040, with 23 observations. The data reached an all-time high of 46,181,058.000 Person in 2040 and a record low of 27,843,933.000 Person in 2018. NSI Projection: Population data remains active status in CEIC and is reported by National Statistics Institute. The data is categorized under Global Database’s Mozambique – Table MZ.G004: Population: Forecast: National Statistics Institute.

Protein-Protein, Genetic, and Chemical Interactions for NSI (Arabidopsis thaliana (Columbia)) curated by BioGRID (https://thebiogrid.org); DEFINITION: acetyltransferase NSI

NSI topsoil1 contains a comprehensive record of many of the important elemental abundances in the soils of the UK. This dataset can be used to highlight areas of element abundance, and the links between these and some soil properties. It also provides a pH reading of the soil at that point, which can be used to plot the areas more suitable for the growth of acidic soil loving plants.

UAB Nsi 1 financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

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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.

New Star: Navigating the Market (NSI)

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

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Customs records of are available for N. S. I. IMPORT AND EXPORT SHENZH. Learn about its Importer, supply capabilities and the countries to which it supplies goods

Customs records of H are available for NSI INTERNATIONAL TRADING. Learn about its Importer, supply capabilities and the countries to which it supplies goods

Nsi Doors And Windows Company Export Import Records. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.