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Access FSQ OS Places
With Foursquare’s Open Source Places, you can access free data to accelerate geospatial innovation and insights. View the Places OS Data Schemas for a full list of available attributes.
Prerequisites
In order to access Foursquare's Open Source Places data, it is recommended to use Spark. Here is how to load the Places data in Spark from Hugging Face.
For Spark 3, you can use the read_parquet helper function from the HF Spark documentation. It… See the full description on the dataset page: https://huggingface.co/datasets/foursquare/fsq-os-places.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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United States New Mexico: GR: OS: Taxes data was reported at 8,655,484.000 USD th in 2015. This records an increase from the previous number of 8,274,457.000 USD th for 2014. United States New Mexico: GR: OS: Taxes data is updated yearly, averaging 1,811,414.000 USD th from Jun 1957 (Median) to 2015, with 57 observations. The data reached an all-time high of 8,655,484.000 USD th in 2015 and a record low of 128,107.000 USD th in 1957. United States New Mexico: GR: OS: Taxes data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.F040: Revenue & Expenditure: State and Local Government: New Mexico.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This composition appears in the Os-Ru region of phase space. It's relative stability is shown in the Os-Ru phase diagram (left). The relative stability of all other phases at this composition (and the combination of other stable phases, if no compound at this composition is stable) is shown in the relative stability plot (right)
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Explore the historical Whois records related to os-db.com (Domain). Get insights into ownership history and changes over time.
Server Operating System Market Size 2024-2028
The server operating system market size is estimated to increase by USD 12.19 billion and grow at a CAGR of 10.87% between 2023 and 2028. The market is experiencing significant growth, driven by several key factors. Firstly, the increasing investments in the construction of hyper-scale data centers are fueling the demand for advanced server operating systems that can efficiently manage large-scale infrastructure. Secondly, technological advancements in server operating systems, such as containerization and virtualization, are enabling organizations to optimize their IT resources, data center, and improve application performance. However, the market is also facing challenges, including the rising number of security issues, which require server operating systems to provide robust security features to protect against cyber threats. Additionally, the growing complexity of IT environments is necessitating the need for server operating systems that can seamlessly integrate with various applications and tools. Overall, the server operating system market is expected to continue its growth trajectory, driven by these market trends and challenges.
What will be the Size of the Market During the Forecast Period?
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Market Segmentation
By Deployment
The market share growth by the on-premises segment will be significant during the forecast period. On-premises solutions in the global market are popular among companies looking to manage their IT infrastructure. On-premises solutions give companies complete control over the hardware and software, allowing them to adapt the system to their individual needs. One of the main benefits of on-premises solutions is increased security and privacy. Businesses can keep data and applications behind firewalls and other security measures, reducing the risk of cyberattacks and data breaches. This is especially important for software companies that handle sensitive data such as financial or medical information.
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The on-premises segment was valued at USD 7.57 billion in 2018. On-premises solutions allow companies to choose their hardware and software companies, design their systems to meet their specific needs and make changes and upgrades as needed. This gives software companies more control over their IT infrastructure, helping them achieve the best possible performance. On-premises solutions also offer improved performance and reliability compared to cloud-based solutions. However, on-premises solutions can be expensive up-front, as software companies must invest in the hardware, software, and staff required to maintain and manage the operating system.
By Region
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North America is estimated to contribute 40% to the growth of the global market during the forecast period. Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period. One of the reasons why North America has a strong position in the market is the high acceptance of cloud-based services by enterprises. These cloud-based services require advanced systems for optimal performance and security. North America is home to major cloud service providers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud. Another factor contributing to the growth of the North American market is the increasing demand for data centers.
The North American region is home to some of the world's largest data centers. Companies such as Microsoft Corp (Microsoft), IBM Corp (IBM), and Oracle Corp (Oracle) have a strong presence in North America and invest heavily in research and development (R&D) to innovate and gain a competitive advantage over other companies. For example, Google LLC (Google) announced its USD 750 million new data center in Nebraska to meet its goal of spending USD 9.5 billion on new Google data centers and offices in 2022. Such expansion plans drive the growth of the market in North America during the forecast period.
Market Dynamics and Customer Landscape
The market is a significant segment of the IT industry, focusing on software that manages and operates servers in data centers and cloud platforms. Server OS includes various types such as Application Servers, File Servers, Database Servers, Mail Servers, Web Servers, and others. These operating systems are essential for Client Server Infrastructure and Client Machinery to function effectively in Network environments. Cloud computing has been a major driver in the growth of the Server OS market, with hybrid cloud environments and 5G networking technologies playing a pivotal role. Server OS software is integral to enterprise migration and digital transformation, as businesses
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This dataset is about books. It has 1 row and is filtered where the book is OS data processing : with review of OS/VS. It features 7 columns including author, publication date, language, and book publisher.
This is the original dataset for ID 81 Os in Thermophysical Property Database (https://thermophys.nims.go.jp/thermophysicalproperty/experiments/81). The dataset was obtained at Japan Aerospace Exploration Agency (JAXA), and is a part of Thermophysical Property Original Datasets (https://doi.org/10.48505/nims.3877) as a collection of MDR.
The National Receptor Dataset (NRD) is a collection of risk receptors, typically residential and commercial property, intended for use in flood and coastal erosion risk management. It is a spatial dataset produced from Ordnance Survey (OS) AddressBase® Premium (ABP) and OS MasterMap® (MM) data with information on property type, floor area and Flood Hazard Research Centre’s Multi-Coloured Manual (MCM) codes attributed.
The version of the NRD described here is the NRD 2023 created as part of the Flood Risk Assessment Wales Data Management (FRAW DM) process. The NRD 2023 builds on the same methodology as NRD 2018, with a refresh of input datasets.
NRD 2023 comprises of two layers, NRD 2023 created from the OS AddressBase Premium dataset and NRD 2023 from OSMM, which is created from OS MasterMap. Both datasets should be viewed together, to give a complete view of the NRD 2023 dataset.
List of improvements from NRD 2018 to NRD 2023 include: 1. Main input datasets have been updated, including; OS ABP, OS MM, NRW Flood Alert and Warning Areas, NRW Flood Warning Uptake, Defended Areas. 2. Over 52,000 Static Caravans are now included in the OS MM datasets, therefore these have now been included in the NRD 2023 from OSMM Layer. 3. The building footprint threshold within the NRD 2023 from OSMM layer has been increased from 30m² to 60m². This is to remove unwanted features like garages being classified as “Residential” dwelling. 4. Ordnance Survey have significantly improved their classification of properties across Wales. For example, end of terrace houses in some location were called “semi-detached” previously, these have now been correctly assigned as “end of terrace” in NRD 2023.
Rhenium-osmium (Re-Os) geochronology of molybdenite provides a tool to directly date mineralizing events in hydrothermal systems. In the Yukon-Tanana upland of eastern Alaska, numerous molybdenite-bearing porphyry occurrences are recognized. The deposits are related to middle and Late Cretaceous granitoids (Kreiner and others, 2019; 2020). Some of the porphyry districts have multiple superimposed igneous events with relative timing relationships observed through detailed mapping and core logging. These timing relationships indicate multiple pulses of copper and molybdenite mineralization. This study dated molybdenite-bearing veins from porphyry occurrences across eastern Alaska. This includes five samples from the Taurus district, which attempted to directly date mineralization in an effort to understand which of the seven magmatic pulses was the main cause of mineralization.
This is the original dataset for ID 167 Os in Thermophysical Property Database (https://thermophys.nims.go.jp/thermophysicalproperty/experiments/167). The dataset was obtained at Japan Aerospace Exploration Agency (JAXA), and is a part of Thermophysical Property Original Datasets (https://doi.org/10.48505/nims.3877) as a collection of MDR.
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Internet Usage: Operating System Market Share: All Platforms: Firefox OS data was reported at 0.000 % in 11 Feb 2025. This stayed constant from the previous number of 0.000 % for 10 Feb 2025. Internet Usage: Operating System Market Share: All Platforms: Firefox OS data is updated daily, averaging 0.000 % from Jun 2024 (Median) to 11 Feb 2025, with 27 observations. The data reached an all-time high of 0.360 % in 26 Jan 2025 and a record low of 0.000 % in 11 Feb 2025. Internet Usage: Operating System Market Share: All Platforms: Firefox OS data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s Estonia – Table EE.SC.IU: Internet Usage: Operating System Market Share.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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5-year and 10-year cumulative CSS and OS of patients with different clinicopathological features.
This is the original dataset for ID 51 Os in Thermophysical Property Database (https://thermophys.nims.go.jp/thermophysicalproperty/experiments/51). The dataset was obtained at Japan Aerospace Exploration Agency (JAXA), and is a part of Thermophysical Property Original Datasets (https://doi.org/10.48505/nims.3877) as a collection of MDR.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This composition appears in the Os region of phase space. It's relative stability is shown in the Os phase diagram (left). The relative stability of all other phases at this composition (and the combination of other stable phases, if no compound at this composition is stable) is shown in the relative stability plot (right)
i4mShayan/OS-Lab-Sample-Data dataset hosted on Hugging Face and contributed by the HF Datasets community
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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IBPLT DNA barcoding of Portuguese plants – Specimen details
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Internet Usage: Operating System Market Share: All Platforms: Firefox OS data was reported at 0.000 % in 10 Mar 2025. This stayed constant from the previous number of 0.000 % for 09 Mar 2025. Internet Usage: Operating System Market Share: All Platforms: Firefox OS data is updated daily, averaging 0.005 % from Feb 2025 (Median) to 10 Mar 2025, with 12 observations. The data reached an all-time high of 0.090 % in 03 Mar 2025 and a record low of 0.000 % in 10 Mar 2025. Internet Usage: Operating System Market Share: All Platforms: Firefox OS data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s Mozambique – Table MZ.SC.IU: Internet Usage: Operating System Market Share.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This composition appears in the C-Os region of phase space. It's relative stability is shown in the C-Os phase diagram (left). The relative stability of all other phases at this composition (and the combination of other stable phases, if no compound at this composition is stable) is shown in the relative stability plot (right)
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This composition appears in the Os-Pb region of phase space. It's relative stability is shown in the Os-Pb phase diagram (left). The relative stability of all other phases at this composition (and the combination of other stable phases, if no compound at this composition is stable) is shown in the relative stability plot (right)
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This composition appears in the Os-W region of phase space. It's relative stability is shown in the Os-W phase diagram (left). The relative stability of all other phases at this composition (and the combination of other stable phases, if no compound at this composition is stable) is shown in the relative stability plot (right)
Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
Access FSQ OS Places
With Foursquare’s Open Source Places, you can access free data to accelerate geospatial innovation and insights. View the Places OS Data Schemas for a full list of available attributes.
Prerequisites
In order to access Foursquare's Open Source Places data, it is recommended to use Spark. Here is how to load the Places data in Spark from Hugging Face.
For Spark 3, you can use the read_parquet helper function from the HF Spark documentation. It… See the full description on the dataset page: https://huggingface.co/datasets/foursquare/fsq-os-places.