100+ datasets found
  1. Data Processing & Hosting Services in the US - Market Research Report...

    • ibisworld.com
    Updated May 15, 2025
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    IBISWorld (2025). Data Processing & Hosting Services in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/data-processing-hosting-services-industry/
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    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Description

    The US data processing and hosting services industry is navigating a dynamic environment marked by rising demands and revolutionary trends. As digitalization accelerates, data centers have evolved from simple infrastructure to essential strategic assets. These hubs now power services ranging from cloud computing to advanced data analytics. In 2025, the data processing and hosting service market includes giants like Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP). Industry revenue currently sits at $383.8 billion, growing robustly at a CAGR of 9.2% over the past five years, including a 6.2% surge in 2025 alone. Alongside leading tech firms, smaller specialized providers cater to sectors like healthcare, financial services and government agencies with precision-placed data storage solutions. Emerging trends significantly influence the evolution of the US data processing and hosting services industry. Prominent among these is edge computing, a decentralized approach that locates data centers closer to end-user devices. Along with AI and modern data centers, these innovations aim to reduce latency and enhance application performance by minimizing resource usage in data transmission, thereby promoting broader adoption of cloud computing. Despite this transformative growth, the US data processing and hosting services industry faces significant hurdles, including a skill gap, escalating energy costs and escalating cybersecurity threats. This scarcity has heightened the focus on software automation, leading many facilities to implement AI solutions. Though offshoring trends lead to lost business for many participants, this activity is limited and the industry still benefits from strong demand, leading to rising profit. The industry is projected to grow at a CAGR of 2.4% to $431.4 billion by 2030. The future holds a mix of challenges and opportunities for the industry. Strategic investments in human capital and advanced technologies will distinguish industry leaders from laggards. Compliance with evolving data sovereignty and privacy regulations will determine local market competitiveness. Continuous innovation is expected to drive this progress, solidifying data centers' roles as pivotal components shaping the digital landscape ahead.

  2. Integrated Biosphere Simulator Model (IBIS), Version 2.5 - Dataset - NASA...

    • data.nasa.gov
    Updated Apr 1, 2025
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    nasa.gov (2025). Integrated Biosphere Simulator Model (IBIS), Version 2.5 - Dataset - NASA Open Data Portal [Dataset]. https://data.nasa.gov/dataset/integrated-biosphere-simulator-model-ibis-version-2-5-22dcb
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    Dataset updated
    Apr 1, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    The Integrated Biosphere Simulator (or IBIS) is designed to be a comprehensive model of the terrestrial biosphere; the model represents a wide range of processes, including land surface physics, canopy physiology, plant phenology, vegetation dynamics and competition, and carbon and nutrient cycling. The model generates global simulations of the surface water balance (e.g., runoff), the terrestrial carbon balance (e.g., net primary production, net ecosystem exchange, soil carbon, aboveground and belowground litter, and soil CO2 fluxes), and vegetation structure (e.g., biomass, leaf area index, and vegetation composition). IBIS was developed by Center for Sustainability and the Global Environment (SAGE) researchers as a first step toward gaining an improved understanding of global biospheric processes and studying their potential response to human activity [Foley et al., 1996]. IBIS was constructed to explicitly link land surface and hydrological processes, terrestrial biogeochemical cycles, and vegetation dynamics within a single, physically consistent framework. Furthermore, IBIS was one of a new generation of global biosphere models, termed Dynamic Global Vegetation Models (or DGVMs), that consider transient changes in vegetation composition and structure in response to environmental change. Previous global ecosystem models have typically focused on the equilibrium state of vegetation and could not allow vegetation patterns to change over time.Version 2.5 of IBIS includes several major improvements and additions [Kucharik et al. 2000]. SAGE continues to test the performance of the model, assembling a wide range of continental- and global-scale data, including measurements of river discharge, net primary production, vegetation structure, root biomass, soil carbon, litter carbon, and soil CO2 flux. Using these field data and model results for the contemporary biosphere (1965-1994), their evaluation shows that simulated patterns of runoff, NPP, biomass, leaf area index, soil carbon, and total soil CO2 flux agreed reasonably well with measurements that have been compiled from numerous ecosystems. These results also compare favorably to other global model results [Kucharik et al. 2000].

  3. Database & Directory Publishing in the US

    • ibisworld.com
    Updated Nov 15, 2024
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    IBISWorld (2024). Database & Directory Publishing in the US [Dataset]. https://www.ibisworld.com/united-states/market-size/database-directory-publishing/1234/
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    Dataset updated
    Nov 15, 2024
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2005 - 2030
    Area covered
    United States
    Description

    Market Size statistics on the Database & Directory Publishing industry in the US

  4. d

    Fifth IBIS/ISGRI Soft Gamma-Ray Survey Catalog

    • catalog.data.gov
    • s.cnmilf.com
    • +2more
    Updated Sep 19, 2025
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    High Energy Astrophysics Science Archive Research Center (2025). Fifth IBIS/ISGRI Soft Gamma-Ray Survey Catalog [Dataset]. https://catalog.data.gov/dataset/fifth-ibis-isgri-soft-gamma-ray-survey-catalog
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    Dataset updated
    Sep 19, 2025
    Dataset provided by
    High Energy Astrophysics Science Archive Research Center
    Description

    This table contains an all-sky soft gamma-ray source catalog based on IBIS observations performed during the first 1000 orbits of INTEGRAL. The database for the construction of the source list consists of all good-quality data available, from the launch of INTEGRAL in 2002, up to the end of 2010. This corresponds to ~ 110 Ms of scientific public observations, with a concentrated coverage on the Galactic Plane and extragalactic deep exposures. This new catalog includes 939 sources above a 4.5-sigma significance threshold detected in the 17-100 keV energy band, of which 120 sources represent previously undiscovered soft gamma-ray emitters. The source positions are determined, mean fluxes are provided in two main energy bands, and these are both reported together with the overall source exposure. Indicative levels of variability are provided, and outburst times and durations are given for transient sources. In the reference paper, a comparison is made with previous IBIS catalogs and catalogs from other similar missions. This database table, the Fifth IBIS/ISGRI source catalog, was ingested by the HEASARC in September 2016 based on the machine-readable version of Table 2 of the above-cited paper, which was obtained from the CDS website. It replaced the previous (fourth) version. This is a service provided by NASA HEASARC .

  5. The IBIS Challenge 2024 Complete Data Package

    • zenodo.org
    application/gzip, tar +1
    Updated Mar 20, 2025
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    Zenodo (2025). The IBIS Challenge 2024 Complete Data Package [Dataset]. http://doi.org/10.5281/zenodo.15056803
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    tar, application/gzip, tsvAvailable download formats
    Dataset updated
    Mar 20, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The IBIS Challenge 2024

    Complete Data Package, 17 Nov 2024

    https://ibis.autosome.org

    This repository provides the complete data of the Codebook/GRECO-BIT open challenge in Inferring Binding Specificities of human transcription factors from multiple experimental data types. Both the Leaderboard stage and the Final stage data are included. This repository is accompanied by the IBIS Benchmarking repo (doi:10.5281/zenodo.14176443), which includes the benchmarking suite and the challenge 'answers', i.e. the labeled test data.

    * Please refer to the supplied README for more details.

    ** Revision 2: fixed the final/leaderboard attribution errors in the list of Codebook datasets used in IBIS.

  6. a

    White-Faced Ibis Range - CWHR B062 [ds1410]

    • data-cdfw.opendata.arcgis.com
    • data.ca.gov
    • +5more
    Updated Feb 13, 2020
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    California Department of Fish and Wildlife (2020). White-Faced Ibis Range - CWHR B062 [ds1410] [Dataset]. https://data-cdfw.opendata.arcgis.com/datasets/CDFW::white-faced-ibis-range-cwhr-b062-ds1410
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    Dataset updated
    Feb 13, 2020
    Dataset authored and provided by
    California Department of Fish and Wildlife
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.

  7. e

    Ibis Chemie International Export Import Data | Eximpedia

    • eximpedia.app
    Updated Apr 13, 2025
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    (2025). Ibis Chemie International Export Import Data | Eximpedia [Dataset]. https://www.eximpedia.app/companies/ibis-chemie-international/82168365
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    Dataset updated
    Apr 13, 2025
    Description

    Ibis Chemie International Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

  8. INTEGRAL IBIS AGN Catalog Update

    • data.nasa.gov
    • s.cnmilf.com
    • +1more
    Updated Apr 1, 2025
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    nasa.gov (2025). INTEGRAL IBIS AGN Catalog Update [Dataset]. https://data.nasa.gov/dataset/integral-ibis-agn-catalog-update
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    Dataset updated
    Apr 1, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    In the most recent IBIS survey based on observations performed during the first 1000 orbits of INTEGRAL, there are listed 363 high-energy emitters firmly associated with AGN, 107 of which are reported here for the first time. The authors have used X-ray data to image the IBIS 90% error circle of all the AGN in the sample of 107, in order to obtain the correct X-ray counterparts, locate them with arcsecond accuracy and therefore pinpoint the correct optical counterparts. This procedure has led to the optical and spectral characterization of the entire sample. This new set consists of 34 broad line or type 1 AGN, 47 narrow line or type 2 AGN, 18 blazars and 8 sources of unknown class. These eight sources have been associated with AGN from their positional coincidence with 2MASX/Radio/X-ray sources. Seven high-energy emitters have also been included since they are considered to be good AGN candidates. Spectral analysis has been already performed on 55 objects and the results from the most recent and/or best statistical measurements have been collected. For the remaining 52 sources, the authors report the spectral analysis for the first time in this work. They have been able to obtain full X-ray coverage of the sample making use of data from Swift/XRT, XMM-Newton and NuSTAR. In addition to the spectral characterization of the entire sample, this analysis has enabled the authors to identify peculiar sources and by comparing different data sets, highlight flux variability in the 2-10 keV and 20-40 keV bands. In the reference paper, the authors present the X-ray and optical follow-up work on 107 new AGN recently detected by INTEGRAL. Fortunately, they have been able to obtain full X-ray coverage of the entire sample making use of data from the Swift/XRT, Newton-XMM, and NuSTAR archives or through Swift/XRT follow-up observations that they triggered. The HEASARC notes that this table of AGN newly detected by INTEGRAL and not included in the original INTEGRAL IBIS AGN Catalog (Malizia et al. 2012, MNRAS, 426, 1750, available at the HEASARC as the INTIBISAGN table) actually contains 108 AGN plus 8 candidate AGN, for a total of 116 objects, rather than the 107 plus 7 candidate AGN totalling 114 objects that are quoted in the abstract of the reference paper (and stated above). The reason for this discrepancy is not known to the HEASARC. This table was created by the HEASARC in November 2017 based on CDS Catalog J/MNRAS/460/19 files tablea1.dat and refs.dat. This is a service provided by NASA HEASARC .

  9. o

    Ibis Avenue Cross Street Data in Port Saint Lucie, FL

    • ownerly.com
    Updated Dec 7, 2021
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    Ownerly (2021). Ibis Avenue Cross Street Data in Port Saint Lucie, FL [Dataset]. https://www.ownerly.com/fl/port-saint-lucie/ibis-ave-home-details
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    Dataset updated
    Dec 7, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Port St. Lucie, Florida, Southeast Ibis Avenue
    Description

    This dataset provides information about the number of properties, residents, and average property values for Ibis Avenue cross streets in Port Saint Lucie, FL.

  10. o

    IBIS Bedrijventerreinen

    • data.overheid.nl
    • data.europa.eu
    csv, pdf, shape, zip
    Updated Jun 7, 2022
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    Interprovinciaal Overleg (Provincie) (2022). IBIS Bedrijventerreinen [Dataset]. https://data.overheid.nl/dataset/ibis-bedrijventerreinen
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    zip(KB), pdf(KB), shape(KB), csv(KB)Available download formats
    Dataset updated
    Jun 7, 2022
    Dataset provided by
    Interprovinciaal Overleg (Provincie)
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    IBIS bevat beschrijvende data over de 3.800 Nederlandse bedrijventerreinen:

    kwantitatief: bruto- en netto oppervlak, aanbod (gemeente/particulier, terstond uitgeefbaar/niet terstond uitgeefbaar), en uitgifte.

    Kwalitatief: plannaam, planfase, startjaar uitgifte, milieuzonering, type werklocatie, ontsluiting, maximale milieucategorie, veroudering/herstructurering, externe bereikbaarheid, parkeergelegenheid, parkmanagement (J/N), status en geometrie.

  11. f

    Ibis data from From wetland specialist to hand-fed generalist: shifts in...

    • datasetcatalog.nlm.nih.gov
    • rs.figshare.com
    Updated Oct 15, 2020
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    Hernandez, Sonia M.; Murray, Maureen H.; Adams, Henry; Hepinstall-Cymerman, Jeffrey; Ellison, Taylor; Kidd, Anjelika; Welch, Catharine; Curry, Shannon E.; Yabsley, Michael J. (2020). Ibis data from From wetland specialist to hand-fed generalist: shifts in diet and condition with provisioning for a recently urbanized wading bird. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000661723
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    Dataset updated
    Oct 15, 2020
    Authors
    Hernandez, Sonia M.; Murray, Maureen H.; Adams, Henry; Hepinstall-Cymerman, Jeffrey; Ellison, Taylor; Kidd, Anjelika; Welch, Catharine; Curry, Shannon E.; Yabsley, Michael J.
    Description

    Spreadsheet containing the diets, behavior, morphometrics, and habitat use for 193 American white ibises. The sheet "Ibis data" contains one row per bird and the sheet "Metadata" contains descriptions of each field in the data sheet.

  12. o

    Ibis Place Cross Street Data in Carlsbad, CA

    • ownerly.com
    Updated Jun 2, 2022
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    Ownerly (2022). Ibis Place Cross Street Data in Carlsbad, CA [Dataset]. https://www.ownerly.com/ca/carlsbad/ibis-pl-home-details
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    Dataset updated
    Jun 2, 2022
    Dataset authored and provided by
    Ownerly
    Area covered
    Carlsbad, California, Ibis Place
    Description

    This dataset provides information about the number of properties, residents, and average property values for Ibis Place cross streets in Carlsbad, CA.

  13. Hyperscale Data Center Services in the US

    • ibisworld.com
    Updated Apr 16, 2025
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    IBISWorld (2025). Hyperscale Data Center Services in the US [Dataset]. https://www.ibisworld.com/united-states/market-size/hyperscale-data-center-services/6584/
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    Dataset updated
    Apr 16, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2005 - 2031
    Area covered
    United States
    Description

    Market Size statistics on the Hyperscale Data Center Services industry in the US

  14. INTEGRAL IBIS Hard X-Ray Survey Above 100 keV Source Catalog

    • data.nasa.gov
    • gimi9.com
    • +1more
    Updated Nov 29, 2016
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    nasa.gov (2016). INTEGRAL IBIS Hard X-Ray Survey Above 100 keV Source Catalog [Dataset]. https://data.nasa.gov/dataset/integral-ibis-hard-x-ray-survey-above-100-kev-source-catalog
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    Dataset updated
    Nov 29, 2016
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    This table contains results from an all-sky survey, performed by the Imager on-Board the INTEGRAL Satellite (IBIS) telescope on board the INTErnational Gamma-Ray Astrophysics Laboratory (INTEGRAL) observatory over 11 years of operation, using data acquired at energies above 100 keV. The catalog of detected sources includes 132 objects. The statistical sample detected on the time-averaged 100-150 keV map at a significance above 5 sigma contains 88 sources: 28 active galactic nuclei (AGNs), 38 low-mass X-ray binaries (LMXBs), 10 high-mass X-ray binaries (HMXBs) and 12 rotation-powered young X-ray pulsars. The catalog also includes 15 persistent sources, which were registered at a significance 4 sigma <= S/N < 5 sigma, where S/N is the signal-to-noise ratio, but at the same time were firmly detected (>= 12 sigma) in the lower 17-60 keV energy band. All registered sources are known X-ray emitters, which means that the catalog has 100% purity in this respect. Additionally, 29 catalogued sources were detected significantly in different time slices of the survey. In the reference paper presenting the results of this survey, the authors present a hardness ratio for Galactic and extragalactic sources, an LMXB longitudinal asymmetry, and a number-flux relation for non-blazar AGNs. At higher energies, in the 150-300 keV energy band, 25 sources have been detected with S/N >= 5 sigma, including seven AGNs, 13 LMXBs, three HMXBs and two rotation-powered pulsars. Among LMXBs and HMXBs, the authors identified 12 black hole candidates (BHCs) and four neutron star (NS) binaries. For this hard X-ray survey, the authors utilized all publicly available INTEGRAL data acquired by the IBIS telescope between 2002 December and 2014 January (INTEGRAL spacecraft revolutions 26 - 1377). The survey also contains private data from the M82 deep field (PI: Sazonov) and scanning observations of the Galactic Center (PI: Krivonos) and Puppis region (PI: Tsygankov). The survey sky coverage as a function of a 5-sigma limiting flux is shown in Fig. 2 of the reference paper. The peak sensitivity of the survey is about 2 mCrab (8 x 10-12 erg s-1 cm-2 in the 100-150 keV energy band). The survey covers ~10% of the sky down to a flux limit of 3.7 mCrab (1.5 x 10-11 erg s-1 cm-2) and 90% of the sky down to 25 mCrab (10-10 erg s-1 cm-2). The catalog has been compiled from sources passed through detection conditions in the reference 100-150 keV energy band on time-average sky maps (Section 2.1 of the reference paper) and maps built over different time periods (Section 2.2 ibid.). For all 132 sources, the time-averaged fluxes are given, even for those sources which were not detected therein. For some variable sources and for sources which were only detected in certain time periods, the fluxes measured in the specified time intervals are also given. Thus, this catalog has 50 additional rows for such entries, giving it a total size of 182 rows. This table was created by the HEASARC in November 2016 based on the electronic version of Table 2 from the reference paper which was obtained from the CDS (their catalog J/MNRAS/448/3766 file table2.dat). This is a service provided by NASA HEASARC .

  15. o

    Ibis Isle Road Cross Street Data in Palm Beach, FL

    • ownerly.com
    Updated Dec 7, 2021
    + more versions
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    Ownerly (2021). Ibis Isle Road Cross Street Data in Palm Beach, FL [Dataset]. https://www.ownerly.com/fl/palm-beach/ibis-isle-rd-home-details
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    Dataset updated
    Dec 7, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Palm Beach, Ibis Isle Road, Florida
    Description

    This dataset provides information about the number of properties, residents, and average property values for Ibis Isle Road cross streets in Palm Beach, FL.

  16. s

    Ibis Importer/Buyer Data in USA, Ibis Imports Data

    • seair.co.in
    Updated Apr 15, 2025
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    Seair Exim (2025). Ibis Importer/Buyer Data in USA, Ibis Imports Data [Dataset]. https://www.seair.co.in
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    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Apr 15, 2025
    Dataset provided by
    Seair Info Solutions PVT LTD
    Authors
    Seair Exim
    Area covered
    United States
    Description

    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.

  17. w

    IBIS (Investigation Branches Information System)

    • data.wu.ac.at
    • data.europa.eu
    Updated Aug 30, 2013
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    The Insolvency Service (2013). IBIS (Investigation Branches Information System) [Dataset]. https://data.wu.ac.at/schema/data_gov_uk/YjM3MTMzNmQtOTI1Ni00MjhhLWIwZmYtOThmYWU0MGM4NDc2
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    Dataset updated
    Aug 30, 2013
    Dataset provided by
    The Insolvency Service
    Description

    Database for recording activity and storing intelligence regarding investigations under the Companies Acts and other legislation

  18. p

    Ibis Hotel Locations Data for China

    • poidata.io
    csv, json
    Updated Nov 10, 2025
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    Business Data Provider (2025). Ibis Hotel Locations Data for China [Dataset]. https://poidata.io/brand-report/ibis-hotel/china
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    csv, jsonAvailable download formats
    Dataset updated
    Nov 10, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    China
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Brand Affiliation, Geographic Coordinates
    Description

    Comprehensive dataset containing 45 verified Ibis Hotel locations in China with complete contact information, ratings, reviews, and location data.

  19. INTEGRAL IBIS Hard X-Ray Survey of Galactic Center - Dataset - NASA Open...

    • data.nasa.gov
    Updated Apr 1, 2025
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    nasa.gov (2025). INTEGRAL IBIS Hard X-Ray Survey of Galactic Center - Dataset - NASA Open Data Portal [Dataset]. https://data.nasa.gov/dataset/integral-ibis-hard-x-ray-survey-of-galactic-center
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    Dataset updated
    Apr 1, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    From August 23 through September 24, 2003, the INTEGRAL Observatory conducted a deep survey of the Galactic Center region with a record-breaking sensitivity at energies above 20keV. The authors analyzed the images of the Galactic Center region obtained with the ISGRI detector of the IBIS telescope (15 - 200 keV) and this table contains their catalog of detected sources. A total of 60 sources with fluxes above 1.5 milliCrab were detected in the range from 18 to 60 keV (1 mCrab = 1.36 x 10-11 erg/s/cm2 in this energy band for a source with a power-law spectrum with a photon index of 2.1) above a detection threshold of 6.5 sigma which was chosen to avoid the strong effect of systematic uncertainties. The nature of 51 of the 60 sources is known: most of them (38 of 51) are low-mass X-ray binaries, and the remaining 13 include 5 high-mass X-ray binaries, 2 cataclysmic variables, an anomalous X-ray pulsar, a soft gamma repeater and three extragalactic objects. This table was created by the HEASARC in February 2005 based on CDS Catalog J/PAZh/30/430 (the catalog.dat file). This is a service provided by NASA HEASARC .

  20. e

    Ibis Technology Export Import Data | Eximpedia

    • eximpedia.app
    Updated Sep 12, 2025
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    (2025). Ibis Technology Export Import Data | Eximpedia [Dataset]. https://www.eximpedia.app/companies/ibis-technology/18153424
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    Dataset updated
    Sep 12, 2025
    Description

    Ibis Technology Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

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IBISWorld (2025). Data Processing & Hosting Services in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/data-processing-hosting-services-industry/
Organization logo

Data Processing & Hosting Services in the US - Market Research Report (2015-2030)

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Dataset updated
May 15, 2025
Dataset authored and provided by
IBISWorld
License

https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

Time period covered
2015 - 2030
Description

The US data processing and hosting services industry is navigating a dynamic environment marked by rising demands and revolutionary trends. As digitalization accelerates, data centers have evolved from simple infrastructure to essential strategic assets. These hubs now power services ranging from cloud computing to advanced data analytics. In 2025, the data processing and hosting service market includes giants like Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP). Industry revenue currently sits at $383.8 billion, growing robustly at a CAGR of 9.2% over the past five years, including a 6.2% surge in 2025 alone. Alongside leading tech firms, smaller specialized providers cater to sectors like healthcare, financial services and government agencies with precision-placed data storage solutions. Emerging trends significantly influence the evolution of the US data processing and hosting services industry. Prominent among these is edge computing, a decentralized approach that locates data centers closer to end-user devices. Along with AI and modern data centers, these innovations aim to reduce latency and enhance application performance by minimizing resource usage in data transmission, thereby promoting broader adoption of cloud computing. Despite this transformative growth, the US data processing and hosting services industry faces significant hurdles, including a skill gap, escalating energy costs and escalating cybersecurity threats. This scarcity has heightened the focus on software automation, leading many facilities to implement AI solutions. Though offshoring trends lead to lost business for many participants, this activity is limited and the industry still benefits from strong demand, leading to rising profit. The industry is projected to grow at a CAGR of 2.4% to $431.4 billion by 2030. The future holds a mix of challenges and opportunities for the industry. Strategic investments in human capital and advanced technologies will distinguish industry leaders from laggards. Compliance with evolving data sovereignty and privacy regulations will determine local market competitiveness. Continuous innovation is expected to drive this progress, solidifying data centers' roles as pivotal components shaping the digital landscape ahead.

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