100+ datasets found
  1. t

    The Information’s AI Data Center Database

    • theinformation.com
    • notlon.app
    csv
    Updated Sep 3, 2024
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    The Information (2024). The Information’s AI Data Center Database [Dataset]. https://www.theinformation.com/projects/ai-data-center-database
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    csvAvailable download formats
    Dataset updated
    Sep 3, 2024
    Dataset authored and provided by
    The Information
    Area covered
    Worldwide
    Dataset funded by
    The Information
    Description

    Top artificial intelligence firms are racing to build the biggest and most powerful Nvidia server chip clusters to win in AI. Below, we mapped the biggest completed and planned server clusters. Check back often, as we'll update the list when we confirm more data.

  2. 451 Research Datacenter KnowledgeBase Dataset | S&P Global Marketplace

    • marketplace.spglobal.com
    Updated Feb 11, 2025
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    S&P Global (2025). 451 Research Datacenter KnowledgeBase Dataset | S&P Global Marketplace [Dataset]. https://www.marketplace.spglobal.com/en/datasets/451-research-datacenter-knowledgebase-(238)
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    Dataset updated
    Feb 11, 2025
    Dataset authored and provided by
    S&P Globalhttps://www.spglobal.com/
    Description

    The 451 Research Datacenter KnowledgeBase dataset provides datacenter location, services, and utilization data to support cloud services, ESG, energy, media, and critical infrastructure analysis.

  3. U

    US Data Center Industry Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Dec 16, 2024
    + more versions
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    AMA Research & Media LLP (2024). US Data Center Industry Report [Dataset]. https://www.datainsightsmarket.com/reports/us-data-center-industry-11517
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Dec 16, 2024
    Dataset provided by
    AMA Research & Media LLP
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    United States
    Variables measured
    Market Size
    Description

    The size of the US Data Center Industry market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 6.00% during the forecast period.A data center is a facility that keeps computer systems and networking equipment housed, processing, and transmitting data. It represents the infrastructure on which organizations carry out their IT operations and host websites, email servers, and database servers. Data centers, therefore, are imperative to any size business: small start-ups or large enterprise since they enable digital transformation, thus making business applications available.The US data center industry is one of the largest and most developed in the world. The country boasts robust digital infrastructure, abundant energy resources, and a highly skilled workforce, making it an attractive destination for data center operators. Some of the drivers of the US data center market are the growing trend of cloud computing, internet of things (IoT), and high-performance computing requirements.Top-of-the-line technology companies along with cloud service providers set up major data center footprints in the US, mostly in key regions such as Silicon Valley and Northern Virginia, Dallas, for example. These data centers support applications such as e-commerce-a manner of accessing streaming services-whose development depends on its artificial intelligence financial service type. As demand increases concerning data center capacity, therefore, the US data centre industry will continue to prosper as the world's hub for reliable and scalable solutions. Recent developments include: February 2023: The expansion of Souther Telecom to its data center in Atlanta, Georgia, at 345 Courtland Street, was announced by H5 Data Centers, a colocation and wholesale data center operator. One of the top communication service providers in the southeast is Southern Telecom. Customers in Alabama, Georgia, Florida, and Mississippi will receive better service due to the expansion of this low-latency fiber optic network.December 2022: DigitalBridge Group, Inc. and IFM Investors announced completing their previously announced transaction in which funds affiliated with the investment management platform of DigitalBridge and an affiliate of IFM Investors acquired all outstanding common shares of Switch, Inc. for USD approximately USD 11 billion, including the repayment of outstanding debt.October 2022: Three additional data centers in Charlotte, Nashville, and Louisville have been made available to Flexential's cloud customers, according to the supplier of data center colocation, cloud computing, and connectivity. By the end of the year, clients will have access to more than 220MW of hybrid IT capacity spread across 40 data centers in 19 markets, which is well aligned with Flexential's 2022 ambition to add 33MW of new, sustainable data center development projects.. Key drivers for this market are: , High Mobile penetration, Low Tariff, and Mature Regulatory Authority; Successful Privatization and Liberalization Initiatives. Potential restraints include: , Difficulties in Customization According to Business Needs. Notable trends are: OTHER KEY INDUSTRY TRENDS COVERED IN THE REPORT.

  4. Spending on cloud and data centers 2009-2023, by segment

    • statista.com
    Updated Oct 22, 2024
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    Statista (2024). Spending on cloud and data centers 2009-2023, by segment [Dataset]. https://www.statista.com/statistics/1114926/enterprise-spending-cloud-and-data-centers/
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    Dataset updated
    Oct 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2023, enterprise spending on cloud infrastructure services amounted to 270 billion U.S. dollars, a growth of 45 billion U.S. dollars compared to the previous year. The growing market for cloud infrastructure services is driven by organizations' demand for modern networking, storage, and databases solutions. Increased spending on cloud services mainly on platform as a service The platform as a service (PaaS) segment, which includes analytics, database, and internet of things (IoT) has the highest growth rate within the cloud infrastructure services market. The managed private cloud services share declined in comparison. Infrastructure as a service (IaaS) remained relatively steady, with companies like Amazon Web Services and Microsoft dominating the market. However, software as a service (SaaS) is not included, which itself continues to experience growth in end-user spending worldwide. Data center spending declined in 2020 Enterprise spending on data center hardware and software on the other hand began to slightly decline after several years of steady growth. Data center hardware and software encompasses spending on servers, networking, storage, and security software. Because data centers store proprietary or sensitive data, sites are secured by specific software. This includes splitting networks into security zones, for example. Other methods for ensuring security are using tools to scan applications and code before deployment to spot malware or vulnerabilities.

  5. Data centers construction the U.S. 2016-2024

    • statista.com
    Updated Mar 5, 2025
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    Statista (2025). Data centers construction the U.S. 2016-2024 [Dataset]. https://www.statista.com/statistics/1224987/data-centers-construction-in-the-usa/
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    Dataset updated
    Mar 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The United States is experiencing a surge in data center construction, with the power supply under construction reaching 6.4 gigawatts in 2024. This marks a 100 percent increase from previous years, reflecting the growing demand for data storage and processing capabilities across the country. The rapid expansion of data centers underscores their crucial role in supporting the digital infrastructure that powers businesses and consumers alike. Northern Virginia leads the charge Northern Virginia has emerged as the epicenter of data center growth in the United States. In 2023, the region boasted the highest existing data center power capacity, solidifying its position as the market with the largest data center inventory in the country. Furthermore, Northern Virginia continues to dominate new construction efforts, with data centers under construction in the second half of 2024 set to add a staggering 2.7 gigawatts of power capacity. This far outpaces other major markets such as Dallas, Austin, and NYC-NJ combined. Cloud infrastructure fuels growth The expansion of data centers is closely tied to the increasing adoption of cloud infrastructure services. Enterprise spending on cloud infrastructure services has soared in the past decade, fueled by organizations' growing demand for modern networking, storage, and database solutions. As companies continue to migrate their operations to the cloud, the need for robust data center facilities is expected to rise, further propelling the construction boom.

  6. Africa Existing & Upcoming Data Center Portfolio

    • arizton.com
    pdf,excel,csv,ppt
    Updated Aug 15, 2024
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    Arizton Advisory & Intelligence (2024). Africa Existing & Upcoming Data Center Portfolio [Dataset]. https://www.arizton.com
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Aug 15, 2024
    Dataset provided by
    Authors
    Arizton Advisory & Intelligence
    License

    https://www.arizton.com/privacyandpolicyhttps://www.arizton.com/privacyandpolicy

    Time period covered
    2024 - 2029
    Area covered
    Africa
    Description

    Arizton's Africa data center database has listed 167 data centers in Africa across 14 countries. List of Retail Colocation, Wholesale Colocation & Self-built Hyperscale Data Centers

  7. D

    Data Center Backup Solutions Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Feb 17, 2025
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    AMA Research & Media LLP (2025). Data Center Backup Solutions Report [Dataset]. https://www.archivemarketresearch.com/reports/data-center-backup-solutions-31229
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Feb 17, 2025
    Dataset provided by
    AMA Research & Media LLP
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global data center backup solutions market was valued at USD 1697.8 million in 2025 and is projected to reach USD 2976.3 million by 2033, growing at a CAGR of 7.1% from 2025 to 2033. The increasing adoption of cloud computing, the growing volume of data generated by businesses, and the need for disaster recovery and business continuity are the key factors driving the growth of the market. The market is segmented by type into physical and virtual servers, databases, enterprise applications, mobile endpoints, and public infrastructure platforms. The physical and virtual servers segment held the largest market share in 2025, and it is expected to continue to dominate the market during the forecast period. The growing adoption of virtualization technology and the increasing number of virtual machines are driving the growth of this segment. The databases segment is expected to grow at the fastest CAGR during the forecast period. The increasing adoption of cloud-based databases and the growing volume of data generated by businesses are driving the growth of this segment. The market is also segmented by application into large enterprises and SMEs. The large enterprises segment held the largest market share in 2025, and it is expected to continue to dominate the market during the forecast period. The growing adoption of data center backup solutions by large enterprises to protect their critical data and applications is driving the growth of this segment. The SMEs segment is expected to grow at a faster CAGR during the forecast period. The increasing adoption of data center backup solutions by SMEs to protect their data from cyberattacks and other threats is driving the growth of this segment.

  8. Spending on cloud and data centers 2009-2024, by segment

    • statista.com
    Updated Mar 21, 2025
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    Lionel Sujay Vailshery (2025). Spending on cloud and data centers 2009-2024, by segment [Dataset]. https://www.statista.com/topics/3071/cloud-software-as-a-service-saas/
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    Dataset updated
    Mar 21, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Lionel Sujay Vailshery
    Description

    In 2024, enterprise spending on cloud infrastructure services amounted to 330 billion U.S. dollars, a growth of 60 billion U.S. dollars compared to the previous year. The growing market for cloud infrastructure services is driven by organizations' demand for modern networking, storage, and databases solutions. Increased spending on cloud services, mainly on platform as a service The platform as a service (PaaS) segment, which includes analytics, database, and internet of things (IoT) has the highest growth rate within the cloud infrastructure services market. The managed private cloud services share declined in comparison. Infrastructure as a service (IaaS) remained relatively steady, with companies like Amazon Web Services and Microsoft dominating the market. However, software as a service (SaaS) is not included, which itself continues to experience growth in end-user spending worldwide. Data center spending declined in 2020 Enterprise spending on data center hardware and software, on the other hand, began to slightly decline after several years of steady growth. Data center hardware and software encompasses spending on servers, networking, storage, and security software. Because data centers store proprietary or sensitive data, sites are secured by specific software. This includes splitting networks into security zones, for example. Other methods for ensuring security are using tools to scan applications and code before deployment to spot malware or vulnerabilities.

  9. NCEI/WDS Global Historical Tsunami Database, 2100 BC to Present

    • ncei.noaa.gov
    • s.cnmilf.com
    • +1more
    Updated Jan 1, 1974
    + more versions
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    National Geophysical Data Center / World Data Service (NGDC/WDS) (1974). NCEI/WDS Global Historical Tsunami Database, 2100 BC to Present [Dataset]. http://doi.org/10.7289/v5pn93h7
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    Dataset updated
    Jan 1, 1974
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
    Authors
    National Geophysical Data Center / World Data Service (NGDC/WDS)
    Time period covered
    -2100 - Present
    Area covered
    Description

    The Global Historical Tsunami Database provides information on over 2,400 tsunamis from 2100 BC to the present in the the Atlantic, Indian, and Pacific Oceans; and the Mediterranean and Caribbean Seas. The database includes two related files. The first file includes information on the tsunami source such as the date, time, and location of the source event; cause and validity of the source, tsunami magnitude and intensity; maximum water height; the total number of fatalities, injuries, houses destroyed, and houses damaged; and total damage estimate (in U.S. dollars). The second related file contains information on the runups (the locations where tsunami waves were observed by eyewitnesses, reconnaissance surveys, tide gauges, and deep-ocean sensors) such as name, location, arrival time, maximum water height and inundation distance, and socio-economic data (deaths, injuries, damage) for the specific runup location.

  10. w

    United States Whois Database | Whois Data Center

    • whoisdatacenter.com
    csv
    Updated Mar 25, 2025
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    AllHeart Web Inc (2025). United States Whois Database | Whois Data Center [Dataset]. https://whoisdatacenter.com/country/United-States/
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    csvAvailable download formats
    Dataset updated
    Mar 25, 2025
    Dataset authored and provided by
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 27, 2025 - Dec 31, 2025
    Area covered
    United States
    Description

    United-States Whois Database, discover comprehensive ownership details, registration dates, and more for domains registered in United-States with Whois Data Center.

  11. NCEI/WDS Global Significant Earthquake Database, 2150 BC to Present

    • ncei.noaa.gov
    • datasets.ai
    • +2more
    Updated Jan 1, 1972
    + more versions
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    National Geophysical Data Center / World Data Service (NGDC/WDS) (1972). NCEI/WDS Global Significant Earthquake Database, 2150 BC to Present [Dataset]. http://doi.org/10.7289/v5td9v7k
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    Dataset updated
    Jan 1, 1972
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
    Authors
    National Geophysical Data Center / World Data Service (NGDC/WDS)
    Time period covered
    -2150 - Present
    Area covered
    Description

    The Significant Earthquake Database is a global listing of over 5,700 earthquakes from 2150 BC to the present. A significant earthquake is classified as one that meets at least one of the following criteria: caused deaths, caused moderate damage (approximately $1 million or more), magnitude 7.5 or greater, Modified Mercalli Intensity (MMI) X or greater, or the earthquake generated a tsunami. The database provides information on the date and time of occurrence, latitude and longitude, focal depth, magnitude, maximum MMI intensity, and socio-economic data such as the total number of casualties, injuries, houses destroyed, and houses damaged, and $ dollage damage estimates. References, political geography, and additional comments are also provided for each earthquake. If the earthquake was associated with a tsunami or volcanic eruption, it is flagged and linked to the related tsunami event or significant volcanic eruption.

  12. w

    Netherlands Whois Database | Whois Data Center

    • whoisdatacenter.com
    csv
    Updated Nov 8, 2024
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    AllHeart Web Inc (2024). Netherlands Whois Database | Whois Data Center [Dataset]. https://whoisdatacenter.com/country/Netherlands/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Nov 8, 2024
    Dataset authored and provided by
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 26, 2025 - Dec 31, 2025
    Area covered
    Netherlands
    Description

    Netherlands Whois Database, discover comprehensive ownership details, registration dates, and more for domains registered in Netherlands with Whois Data Center.

  13. National Solar Radiation Database (NSRDB) Station Data Output for 1991 to...

    • catalog.data.gov
    • data.cnra.ca.gov
    • +4more
    Updated Sep 19, 2023
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    NOAA National Centers for Environmental Information (Point of Contact) (2023). National Solar Radiation Database (NSRDB) Station Data Output for 1991 to 2010 [Dataset]. https://catalog.data.gov/dataset/national-solar-radiation-database-nsrdb-station-data-output-for-1991-to-20102
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    Dataset updated
    Sep 19, 2023
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
    Description

    The National Solar Radiation Database (NSRDB) was produced by the National Renewable Energy Laboratory under the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy. The NSRDB update is a collection of hourly values of the three most common measurements of solar radiation (i.e., global horizontal, direct normal, and diffuse horizontal) over a period of time adequate to establish means and extremes and at a sufficient number or locations to represent regional solar radiation climates. Nearly all of the solar data in the NSRDB are modeled, and only 40 sites have measured solar data - none of them with a complete period of record. Because of the data-filling methods used to accomplish the goal of serial completeness, NSRDB meteorological data are not suitable for climatological work. The meteorological fields in the NSRDB should be used only as ancillary data for solar deployment and sizing applications. Filled/interpolated meteorological data should not be used for climatic applications. (All such data are flagged.) The serially complete hourly data provided in the NSRDB update are provided in two output formats: 1) ground-based solar and meteorological dataset, and 2) 10 km gridded output produced by the SUNY model. The 1991-2010 NSRDB is an update of the 1991-2005 NSRDB released in 2006 and archived at NCDC. The updated NSRDB dataset an hourly ground-based data set of solar and meteorological fields for 1454 stations. The primary provider for ground-based data is NCDC, which are stored as site-year files in comma-separated value (CSV) American Standard Code for Information Interchange (ASCII) format. Station identification numbers use the six-digit United States Air Force (USAF) station ID numbering scheme. The measured solar radiation data came from multiple sources, including: Atmospheric Radiation Measurement Program, Department of Energy Florida Solar Energy Center, State of Florida Integrated Surface Irradiance Study and Surface Radiation Budget Measurement Networks, National Oceanic and Atmospheric Administration Air Resources Laboratory and Earth System Research Laboratory Global Monitoring Division Measurement and Instrumentation Data Center, National Renewable Energy Laboratory University of Oregon Solar Radiation Monitoring Laboratory Network University of Texas Solar Energy Laboratory. All meteorological data were provided by the National Climatic Data Center from its Integrated Surface Hourly Database (ISD) product. The NSRDB Statistics Files hold summary statistics for all Class I and Class II stations. The Daily Statistics provide monthly and annual averages of solar radiation and several meteorological parameters for both annual and a 20 year roll-up. The Hourly Statistics provide average diurnal profiles by hour for each station year for each solar parameter. The Persistence Statistics provide multiple levels of persistence for up to 30 days for each station for each solar parameter. These Summary Statistics files are documented in the NSRDB User's Manual.

  14. i

    Antarctic Tide Gauge Database, version 1

    • get.iedadata.org
    xml
    Updated Jul 10, 2020
    + more versions
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    Padman, Laurence; King, Matt; Howard, Susan L. (2020). Antarctic Tide Gauge Database, version 1 [Dataset]. http://get.iedadata.org/metadata/iso/601358
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    xmlAvailable download formats
    Dataset updated
    Jul 10, 2020
    Dataset provided by
    Earth & Space Research, 1910 Fairview Ave, E., Suite 210, Seattle, WA, 98103-3620, USA
    Authors
    Padman, Laurence; King, Matt; Howard, Susan L.
    License

    Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
    License information was derived automatically

    Description

    Abstract: The Antarctic Tide Gauge (AntTG) database provides tidal harmonic coefficients (amplitude and phase) for ocean surface height (tide-induced height perturbation relative to the seabed) at many coastal, ocean and ice shelf locations around Antarctica. The coefficients are provided for up to 8 tidal constituents (Q1, O1, P1, K1, N2 , M2, S2, K2) where data is available. These coefficients are primarily intended for users interested in validation of tide models for the Antarctic seas including the areas covered by the floating ice shelves (e.g., King and Padman, 2005; King et al., 2011; Stammer et al., 2014). The database is provided as single files in ASCII text and MATLAB *.mat formats, as well as in a KML package that can be viewed in Google Earth. Several different measurement systems were used to collect the data. The quality of database entries varies widely, from short records of unknown accuracy to very precise, long-term records from bottom pressure recorders in the ocean and GPS systems installed on ice shelves. This database provides sufficient quality control information (record length, time step, and measurement type) for a user to judge whether a tidal analysis at a particular site is likely to be useful for their application.

  15. NCEI/WDS Global Significant Volcanic Eruptions Database, 4360 BC to Present

    • ncei.noaa.gov
    • catalog.data.gov
    Updated Mar 23, 2001
    + more versions
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    National Geophysical Data Center / World Data Service (NGDC/WDS) (2001). NCEI/WDS Global Significant Volcanic Eruptions Database, 4360 BC to Present [Dataset]. http://doi.org/10.7289/v5jw8bsh
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    Dataset updated
    Mar 23, 2001
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
    Authors
    National Geophysical Data Center / World Data Service (NGDC/WDS)
    Time period covered
    -4360 - Present
    Area covered
    Description

    The Significant Volcanic Eruptions Database is a global listing of over 600 eruptions from 4360 BC to the present. A significant eruption is classified as one that meets at least one of the following criteria: caused fatalities, caused moderate damage (approximately $1 million or more), Volcanic Explosivity Index (VEI) of 6 or greater, generated a tsunami, or was associated with a significant earthquake. The database provides information on the latitude, longitude, elevation, type of volcano, last known eruption, VEI index, and socio-economic data such as the total number of casualties, injuries, houses destroyed, and houses damaged, and $ dollage damage estimates. References, political geography, and additional comments are also provided for each eruption. If the eruption was associated with a tsunami or significant earthquake, it is flagged and linked to the related database. For a complete list of current and past activity for all volcanoes on the planet active during the last 10,000 years, please see Smithsonian Institution's Global Volcanism Program (GVP).

  16. NOAA Monthly U.S. Climate Divisional Database (NClimDiv)

    • catalog.data.gov
    • s.cnmilf.com
    • +2more
    Updated Sep 19, 2023
    + more versions
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    NOAA National Centers for Environmental Information (Point of Contact); DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce (Point of Contact) (2023). NOAA Monthly U.S. Climate Divisional Database (NClimDiv) [Dataset]. https://catalog.data.gov/dataset/noaa-monthly-u-s-climate-divisional-database-nclimdiv1
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    Dataset updated
    Sep 19, 2023
    Dataset provided by
    United States Department of Commercehttp://www.commerce.gov/
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
    National Environmental Satellite, Data, and Information Service
    Area covered
    United States
    Description

    This dataset replaces the previous Time Bias Corrected Divisional Temperature-Precipitation Drought Index. The new divisional data set (NClimDiv) is based on the Global Historical Climatological Network-Daily (GHCN-D) and makes use of several improvements to the previous data set. For the input data, improvements include additional station networks, quality assurance reviews and temperature bias adjustments. Perhaps the most extensive improvement is to the computational approach, which now employs climatologically aided interpolation. This 5km grid based calculation nCLIMGRID helps to address topographic and network variability. This data set is primarily used by the National Oceanic and Atmospheric Administration (NOAA) National Climatic Data Center (NCDC) to issue State of the Climate Reports on a monthly basis. These reports summarize recent temperature and precipitation conditions and long-term trends at a variety of spatial scales, the smallest being the climate division level. Data at the climate division level are aggregated to compute statewide, regional and national snapshots of climate conditions. For CONUS, the period of record is from 1895-present. Derived quantities such as Standardized precipitation Index (SPI), Palmer Drought Indices (PDSI, PHDI, PMDI, and ZNDX) and degree days are also available for the CONUS sites. In March 2015, data for thirteen Alaskan climate divisions were added to the NClimDiv data set. Data for the new Alaskan climate divisions begin in 1925 through the present and are included in all monthly updates. Alaskan climate data include the following elements for divisional and statewide coverage: average temperature, maximum temperature (highs), minimum temperature (lows), and precipitation. The Alaska NClimDiv data were created and updated using similar methodology as that for the CONUS, but with a different approach to establishing the underlying climatology. The Alaska data are built upon the 1971-2000 PRISM averages whereas the CONUS values utilize a base climatology derived from the NClimGrid data set. As of November 2018, NClimDiv includes county data and additional inventory files.

  17. w

    Active Domains Database | Whois Data Center

    • whoisdatacenter.com
    csv
    Updated Apr 22, 2020
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    AllHeart Web Inc (2020). Active Domains Database | Whois Data Center [Dataset]. https://whoisdatacenter.com/active-domains-database/
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    csvAvailable download formats
    Dataset updated
    Apr 22, 2020
    Dataset authored and provided by
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 27, 2025 - Dec 31, 2025
    Description

    Get an archive of 260 Million active domains in our active domains database, covering a broad range of TLDs and Registrars.

  18. w

    Complete Whois Database | Whois Data Center

    • whoisdatacenter.com
    csv
    Updated Mar 25, 2025
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    AllHeart Web Inc (2025). Complete Whois Database | Whois Data Center [Dataset]. https://whoisdatacenter.com/complete-whois-database/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Mar 25, 2025
    Dataset authored and provided by
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 27, 2025 - Dec 31, 2025
    Description

    Complete Whois Database of 2.7 Billion WHOIS records dating back to 1985. Gain valuable insights into domain ownership, history, and more.

  19. w

    .online TLD Whois Database | Whois Data Center

    • whoisdatacenter.com
    csv
    Updated Sep 23, 2024
    + more versions
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    AllHeart Web Inc (2024). .online TLD Whois Database | Whois Data Center [Dataset]. https://whoisdatacenter.com/tld/.online/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Sep 23, 2024
    Dataset authored and provided by
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 27, 2025 - Dec 31, 2025
    Description

    .ONLINE Whois Database, discover comprehensive ownership details, registration dates, and more for .ONLINE TLD with Whois Data Center.

  20. w

    .global TLD Whois Database | Whois Data Center

    • whoisdatacenter.com
    csv
    Updated Jun 6, 2024
    + more versions
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    AllHeart Web Inc (2024). .global TLD Whois Database | Whois Data Center [Dataset]. https://whoisdatacenter.com/tld/.global/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 6, 2024
    Dataset authored and provided by
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 4, 2025 - Dec 31, 2025
    Description

    .GLOBAL Whois Database, discover comprehensive ownership details, registration dates, and more for .GLOBAL TLD with Whois Data Center.

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Click to copy link
Link copied
Close
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The Information (2024). The Information’s AI Data Center Database [Dataset]. https://www.theinformation.com/projects/ai-data-center-database

The Information’s AI Data Center Database

GPU super clusters

AI chip data centers

LLM training data centers

Explore at:
csvAvailable download formats
Dataset updated
Sep 3, 2024
Dataset authored and provided by
The Information
Area covered
Worldwide
Dataset funded by
The Information
Description

Top artificial intelligence firms are racing to build the biggest and most powerful Nvidia server chip clusters to win in AI. Below, we mapped the biggest completed and planned server clusters. Check back often, as we'll update the list when we confirm more data.

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