Oil, gas and water produced, and water used for hydraulic fracturing treatments for wells in and near the Permian Basin during 2000-2019 was estimated using data reported in IHS Markit (TM) (2020). Hydraulic fracturing treatment data from IHS Markit (TM) (2020) may include volumes in a variety of measurement units, and they may include multiple treatments per well. All listed treatments within the study area were converted to gallons and summed on a per-well basis, discounting any treatments for which the specified measurement units were unclear (for example, “sacks”, or “feet”), which were minor. The per-well treatment volumes and oil, gas, and water production were then aggregated via summation to a 1-mile grid using ArcGIS functions. The annual aggregated hydraulic fracturing treatment data were exported as annual GeoTIFF images with a resolution of 1 square mile per pixel and bundled into a archive file. This data is not part of the USGS Aggregated Water Use Database (AWUDS) or the National Water Information System (NWIS).
This data is a CSV file containeing ship technical details from IHS Sea-web. This dataset is not publicly accessible because: EPA cannot release CBI, or data protected by copyright, patent, or otherwise subject to trade secret restrictions. Request for access to CBI data may be directed to the dataset owner by an authorized person by contacting the party listed. It can be accessed through the following means: The vessel details in this dataset can be accessed via a subscription to IHS Sea-web: https://maritime.ihs.com/EntitlementPortal/Home/Index. Format: This data set was compiled as a CSV file. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.
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IHS Telekom, Inc. Whois Database, discover comprehensive ownership details, registration dates, and more for IHS Telekom, Inc. with Whois Data Center.
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IHS Holding stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.
This map can be used to find an Indian Health Service, Tribal or Urban Indian Health Program facility. This map can be used to:
Zoom in to a general location to see if there is a facility in that region.
Enter your current location in the form to see the facilities available.
Find a specific facility by selecting the "Facility Information" tab and typing in the name of the facility that you are trying to find.
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IHS Holding reported $4.49B in Assets for its fiscal quarter ending in June of 2025. Data for IHS Holding | IHS - Assets including historical, tables and charts were last updated by Trading Economics this last October in 2025.
Non-traditional data signals from social media and employment platforms for IHS stock analysis
Monthly movements of U.S. waterborne containerized grain exports.
The following Harmonized Tariff Codes are used to calculate containerized grains movements: '1001', '100190', '100199', '100119', '1002', '100200', '1003', '100300', '1004', '100400', '1005', '100590', '1007', '100700', '100790', '110100', '1102', '110220', '110290', '1201', '120100', '120190', '120810', '230210', '230310', '230330', '2304', '230400', and '230990'.
Non-traditional data signals from social media and employment platforms for 0UAI.L stock analysis
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IHS Holding reported $248.5M in EBITDA for its fiscal quarter ending in June of 2025. Data for IHS Holding | IHS - Ebitda including historical, tables and charts were last updated by Trading Economics this last October in 2025.
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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.
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11 Global export shipment records of Bortezomib,ihs with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.
This data release contains several datasets that provide an overview of oil and gas well history and production of the United States, from 1817 to September 1, 2022. Well history data is aggregated into 1-mile and 10-mile squares indicating the total number of wells and counts of wells classified as oil, gas, dry, injection, hydraulically fractured, and/or horizontal wells. Well history is also separated into layers binned on 1-year increments from a well's spud date (date drilling commenced). Production data is aggregated in 2-mile and 10-mile squares that sum the total production of oil, gas, and water volumes. Production data is also separated into layers binned on 1-year increments to reflect the year of production. These aggregations are compiled from data from IHS Markit, which is a proprietary, commercial database. No proprietary data is contained in this release. This data release was updated May 2023 to reflect an offset of 1 year on the original release.
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The Integrated Heat Spreader (IHS) market is projected to grow at a CAGR of 6.9% from 2025 to 2033, reaching a value of 1715 million units by 2033. The increasing demand for high-performance computing and the adoption of advanced packaging technologies in consumer electronics, data centers, and automotive applications are driving the market growth. Moreover, the rising popularity of AI-enabled devices and the growing adoption of 5G technology are further contributing to the market expansion. Segment-wise, the market is categorized by application and type. Based on application, the PC CPU/GPU packages segment holds the largest market share due to the widespread adoption of personal computers. However, the AI processor packages segment is expected to witness the highest growth rate during the forecast period, driven by the increasing demand for AI-powered devices. In terms of type, the heat spreader for FC (Flip Chip) segment accounts for a significant portion of the market, while the heat spreader for BGA is expected to grow at a faster pace due to its growing adoption in mobile devices and other compact electronic devices. Concentration Areas:
PC CPU/GPU packages AI processor packages 5G chips/processor packages Automotive SoC/FPGA packages Others
Characteristics:
High thermal conductivity Low thermal resistance Solderability Electrical insulation Fujikura Shinko Sumitomo Electric (A.L.M.T. Corp.) Jentech Precision Industrial Honeywell Advanced Materials I-Chiun Favor Precision Technology Shandong Ruisi Precision Industry Malico Inc ECE Cuil
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IHS Inc. (IHS), a business information services company, acquired geospatial and land information solutions provider XeDAR Corporation (XeDAR), for a purchase consideration of $28m in cash. The transaction provides IHS an opportunity to strengthen its energy technical information and analytical tools with the addition of geographic and land information system solutions. Read More
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46 Global exporters importers export import shipment records of Bortezomib ihs with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.
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.
Global trade data of Ihs under 283522, 283522 global trade data, trade data of Ihs from 80+ Countries.
Oil, gas and water produced, and water used for hydraulic fracturing treatments for wells in and near the Permian Basin during 2000-2019 was estimated using data reported in IHS Markit (TM) (2020). Hydraulic fracturing treatment data from IHS Markit (TM) (2020) may include volumes in a variety of measurement units, and they may include multiple treatments per well. All listed treatments within the study area were converted to gallons and summed on a per-well basis, discounting any treatments for which the specified measurement units were unclear (for example, “sacks”, or “feet”), which were minor. The per-well treatment volumes and oil, gas, and water production were then aggregated via summation to a 1-mile grid using ArcGIS functions. The annual aggregated hydraulic fracturing treatment data were exported as annual GeoTIFF images with a resolution of 1 square mile per pixel and bundled into a archive file. This data is not part of the USGS Aggregated Water Use Database (AWUDS) or the National Water Information System (NWIS).