100+ datasets found
  1. MCM Frequency Data

    • kaggle.com
    Updated Feb 17, 2023
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    Ryan Greiner (2023). MCM Frequency Data [Dataset]. https://www.kaggle.com/datasets/ryangreiner/mcm-frequency-data/data
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 17, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Ryan Greiner
    Description

    Dataset

    This dataset was created by Ryan Greiner

    Contents

  2. India Mcm Export | List of Mcm Exporters & Suppliers

    • seair.co.in
    + more versions
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    Seair Exim, India Mcm Export | List of Mcm Exporters & Suppliers [Dataset]. https://www.seair.co.in
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    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    India
    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.

  3. o

    Mcm Lane Cross Street Data in Mount Union, PA

    • ownerly.com
    Updated Dec 11, 2021
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    Ownerly (2021). Mcm Lane Cross Street Data in Mount Union, PA [Dataset]. https://www.ownerly.com/pa/mount-union/mcm-ln-home-details
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    Dataset updated
    Dec 11, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Pennsylvania, MCM Lane, Mount Union
    Description

    This dataset provides information about the number of properties, residents, and average property values for Mcm Lane cross streets in Mount Union, PA.

  4. w

    Data on MCM Montagens

    • workwithdata.com
    Updated Apr 14, 2024
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    Work With Data (2024). Data on MCM Montagens [Dataset]. https://www.workwithdata.com/organization/mcmmontagens-com-br
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    Dataset updated
    Apr 14, 2024
    Dataset authored and provided by
    Work With Data
    License

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

    Description

    Explore MCM Montagens through data from visualizations to datasets, all based on diverse sources.

  5. MCM Problem C 2023

    • kaggle.com
    Updated Feb 16, 2023
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    Ryan Greiner (2023). MCM Problem C 2023 [Dataset]. https://www.kaggle.com/datasets/ryangreiner/mcm-problem-c-2023/data
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 16, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Ryan Greiner
    Description

    Dataset

    This dataset was created by Ryan Greiner

    Contents

  6. Mobile Content Management (MCM) Software Market Report | Global Forecast...

    • dataintelo.com
    csv, pdf, pptx
    Updated Dec 3, 2024
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    Dataintelo (2024). Mobile Content Management (MCM) Software Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-mobile-content-management-mcm-software-market
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    pptx, pdf, csvAvailable download formats
    Dataset updated
    Dec 3, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Mobile Content Management (MCM) Software Market Outlook



    The Mobile Content Management (MCM) Software market is witnessing robust growth with a market size valued at approximately USD 3.5 billion in 2023, projected to reach USD 8.7 billion by 2032, growing at a remarkable CAGR of 10.8% over the forecast period. This significant growth is attributed to the increasing demand for seamless mobile content management solutions across various industry verticals, the ascent of mobile workforce, and the imperative need for secure data management in mobile devices. Furthermore, the rapid digitization across industries and the continuous evolution of mobile technologies act as pivotal drivers accelerating the adoption of MCM software globally.



    One of the primary growth factors propelling the MCM software market is the increasing penetration of smartphones and tablets, which has revolutionized the way businesses operate. Organizations are increasingly relying on mobile devices for professional communication, data sharing, and workflow management. As a result, there is a heightened need for robust mobile content management solutions that facilitate secure access and sharing of content on these devices. Additionally, the rise in BYOD (Bring Your Own Device) trends has further necessitated the deployment of MCM software to manage and secure corporate data across various employee-owned devices. Organizations are keen on ensuring that their sensitive data remains protected, driving the demand for sophisticated MCM solutions.



    Another critical factor stimulating market growth is the enhanced focus on data security and compliance management. With the increasing use of mobile devices in business operations, there is a growing concern over data breaches and unauthorized access to sensitive information. Regulatory bodies across the globe have enforced stringent data protection laws, mandating organizations to adopt reliable content management systems to ensure compliance. MCM software offers comprehensive solutions for secure content distribution, access control, and encryption, helping enterprises maintain data integrity and compliance. This has led to a surge in adopting MCM solutions, particularly in highly regulated industries such as healthcare, BFSI, and government sectors.



    The integration of advanced technologies such as artificial intelligence, machine learning, and cloud computing is also a significant growth factor for the MCM software market. These technologies enhance the capabilities of MCM solutions, offering intelligent content organization, predictive analytics, and automation features that streamline content management processes. Cloud-based MCM solutions, in particular, are gaining traction due to their scalability, flexibility, and cost-effectiveness. The ongoing digital transformation efforts across organizations and the need for efficient remote work solutions have further accelerated the adoption of cloud-based MCM systems, contributing to the market's robust growth trajectory.



    Regionally, North America is expected to continue its dominance in the MCM software market, owing to the presence of numerous key players and the early adoption of advanced technologies. The region accounted for a substantial share of the global market in 2023, driven by the high demand for secure mobile content management solutions across various industry verticals. Europe is also witnessing significant growth, propelled by the stringent data protection regulations and the increasing need for compliance management solutions. In the Asia Pacific, the market is anticipated to grow at the highest CAGR during the forecast period, attributed to the rapid digitization, growing enterprise mobility trends, and increasing investments in IT infrastructure across emerging economies like India and China.



    Deployment Type Analysis



    The deployment type segment in the Mobile Content Management software market is categorized into cloud-based and on-premises solutions. Cloud-based MCM solutions are gaining significant traction due to their inherent advantages, such as scalability, flexibility, and reduced operational costs. As organizations increasingly shift towards cloud infrastructure, cloud-based MCM solutions offer seamless integration, accessibility across various devices, and simplified content management processes. This segment is poised for substantial growth, driven by the need for remote work solutions and the increasing adoption of enterprise mobility. Furthermore, advancements in cloud technology, such as enhanced security features and data encryption, have alleviated concerns about data breaches, further promoting the adoption of cl

  7. k

    MCM Stock Forecast Data

    • kappasignal.com
    csv, json
    Updated Apr 20, 2024
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    AC Investment Research (2024). MCM Stock Forecast Data [Dataset]. https://www.kappasignal.com/2024/04/miners-mcm-charting-new-course.html
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    csv, jsonAvailable download formats
    Dataset updated
    Apr 20, 2024
    Dataset authored and provided by
    AC Investment Research
    License

    https://www.ademcetinkaya.com/p/legal-disclaimer.htmlhttps://www.ademcetinkaya.com/p/legal-disclaimer.html

    Description

    MC Mining remains a speculative investment with significant upside potential but also substantial risks. The company's operations are heavily reliant on a single asset, the Makhado Project, which can lead to volatility and concentration risk. However, the project's high-quality resource and favorable market conditions for vanadium provide potential for strong returns. Investors should carefully consider the risks associated with project development, operational execution, and commodity price fluctuations before investing in MC Mining.

  8. t

    MCM GROUP|Full export Customs Data Records|tradeindata

    • tradeindata.com
    Updated Jul 11, 2016
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    tradeindata (2016). MCM GROUP|Full export Customs Data Records|tradeindata [Dataset]. https://www.tradeindata.com/supplier_detail/?id=71e142c98989a8029a34d6c7aac98637
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    Dataset updated
    Jul 11, 2016
    Dataset authored and provided by
    tradeindata
    License

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

    Description

    Customs records of China are available for MCM GROUP. Learn about its Importer, supply capabilities and the countries to which it supplies goods

  9. Mexico Fixed Internet Access: Megacable-MCM

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Mexico Fixed Internet Access: Megacable-MCM [Dataset]. https://www.ceicdata.com/en/mexico/number-of-fixed-internet-access-by-contract/fixed-internet-access-megacablemcm
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Oct 1, 2018 - Sep 1, 2019
    Area covered
    Mexico
    Description

    Mexico Fixed Internet Access: Megacable-MCM data was reported at 3.017 Unit mn in Sep 2019. This records an increase from the previous number of 3.001 Unit mn for Aug 2019. Mexico Fixed Internet Access: Megacable-MCM data is updated monthly, averaging 1.955 Unit mn from Jan 2013 (Median) to Sep 2019, with 81 observations. The data reached an all-time high of 3.017 Unit mn in Sep 2019 and a record low of 0.765 Unit mn in May 2013. Mexico Fixed Internet Access: Megacable-MCM data remains active status in CEIC and is reported by Federal Telecommunications Institute. The data is categorized under Global Database’s Mexico – Table MX.TB014: Number of Fixed Internet Access: by Contract.

  10. f

    Data from: Destabilization of the MiniChromosome Maintenance (MCM) complex...

    • tandf.figshare.com
    docx
    Updated May 31, 2023
    + more versions
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    Romain Drissi; Anaïs Chauvin; Alyson McKenna; Dominique Lévesque; Simon Blais-Brochu; Dominique Jean; François-Michel Boisvert (2023). Destabilization of the MiniChromosome Maintenance (MCM) complex modulates the cellular response to DNA double strand breaks [Dataset]. http://doi.org/10.6084/m9.figshare.7423163.v2
    Explore at:
    docxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    Romain Drissi; Anaïs Chauvin; Alyson McKenna; Dominique Lévesque; Simon Blais-Brochu; Dominique Jean; François-Michel Boisvert
    License

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

    Description

    DNA replication during S phase involves thousands of replication forks that must be coordinated to ensure that every DNA section is replicated only once. The minichromosome maintenance proteins, MCM2 to MCM7, form a heteromeric DNA helicase required for both the initiation and elongation of DNA replication. Although only two DNA helicase activities are necessary to establish a bidirectional replication fork from each replication origin, a large excess of MCM complexes is amassed and distributed along the chromatin. The function of the additional MCM complexes is not well understood, as most are displaced from the DNA during the S-phase, apparently without playing an active role in DNA replication. DNA damage response (DDR) kinases activated by stalled forks prevent the replication machinery from being activated, indicating a tight relationship between DDR and DNA replication. To investigate the role of MCM proteins in the cellular response to DNA damage, we used shRNA targeting MCM2 or MCM3 to determine the impact of a reduction in MCM complex. The alteration of MCM proteins induced a change in the activation of key factors of the DDR in response to Etoposide treatment. Etoposide-induced DNA damage affected the phosphorylation of γ-H2AX, CHK1 and CHK2 without affecting cell viability. Using assays measuring homologous recombination (HR) and non-homologous end-joining (NHEJ), we identified a decrease in both HR and NHEJ associated with a decrease in MCM complex.

  11. UA MCM-UA-1-0 model output prepared for CMIP6 CMIP abrupt-4xCO2

    • wdc-climate.de
    Updated 2019
    + more versions
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    Stouffer, Ronald (2019). UA MCM-UA-1-0 model output prepared for CMIP6 CMIP abrupt-4xCO2 [Dataset]. http://doi.org/10.22033/ESGF/CMIP6.8882
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    Dataset updated
    2019
    Dataset provided by
    Earth System Grid
    World Data Center for Climate (WDCC) at DKRZ
    Authors
    Stouffer, Ronald
    License

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

    Description

    Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets. These data include all datasets published for 'CMIP6.CMIP.UA.MCM-UA-1-0.abrupt-4xCO2' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'.

    The Manabe Climate Model v1.0 - University of Arizona climate model, released in 1991, includes the following components: aerosol: Modifies surface albedoes (Haywood et al. 1997, doi: 10.1175/1520-0442(1997)0101562:GCMCOT2.0.CO;2), atmos: R30L14 (3.75 X 2.5 degree (long-lat) configuration; 96 x 80 longitude/latitude; 14 levels; top level 0.015 sigma, 15 mb), land: Standard Manabe bucket hydrology scheme (Manabe 1969, doi: 10.1175/1520-0493(1969)0970739:CATOC2.3.CO;2), landIce: Specified location - invariant in time, has high albedo and latent heat capacity, ocean: MOM1.0 (MOM1, 1.875 X 2.5 deg; 192 x 80 longitude/latitude; 18 levels; top grid cell 0-40 m), seaIce: Thermodynamic ice model (free drift dynamics). The model was run by the Department of Geosciences, University of Arizona, Tucson, AZ 85721, USA (UA) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, land: 250 km, landIce: 250 km, ocean: 250 km, seaIce: 250 km.

    Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).

    CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).

    The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.

  12. Mcm ind co inc Import Company US

    • seair.co.in
    Updated Jul 10, 2016
    + more versions
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    Seair Exim (2016). Mcm ind co inc Import Company US [Dataset]. https://www.seair.co.in
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Jul 10, 2016
    Dataset provided by
    Seair Exim Solutions
    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.

  13. Z

    SPI, KUH, and MCM derived lidar T datasets

    • data.niaid.nih.gov
    Updated Jan 21, 2020
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    A.A. Kutepov (2020). SPI, KUH, and MCM derived lidar T datasets [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_1306735
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    Dataset updated
    Jan 21, 2020
    Dataset provided by
    M. Mlynczak
    L. Rezac
    A. Feofilov
    J. Hoeffner
    E.C.M. Dawkins
    D. Janches
    X. Chu
    X. Lu
    J.M. Russell
    A.A. Kutepov
    License

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

    Area covered
    Spī Kōh
    Description

    These datasets are used within Dawkins et al., 'Validation of SABER v2.0 Operational Temperature Data with Ground-based Lidars in the Mesosphere-Lower Thermosphere Region (75-105 km).'The datasets correspond to the derived Spitsbergen, Kühlungsborn, and McMurdo temperature (T, units: K) datasets presented within the paper. Each text file contains header information necessary for interpreting the data, with each following a standard format.

    For each season, the dataset comprises of 31 rows, and 5 columns. All rows correspond to altitudes: 75-105 km, at 1 km increments. Column 1 = lidar mean for season [Units=K] Column 2 = lidar standard deviation of mean for season [Units=K] Column 3 = combined SABER and lidar error for season [Units=K] Column 4 = standard deviation of individual (SABER-lidar) colocated pairs. [Units=K] Column 5 = T difference of seasonal means (SABER-lidar) [Units=K]

    Also contains dataset presenting Figure 12 (n rows, 2 columns). Column 1: all SABER T data for all altitudes. Column 2: corresponding lidar T data. n rows corresponds to number of SABER-lidar T data pairs. All units: K.

    DJF = December-January-February.

    MAM = March-April-May.

    JJA = June-July-August.

    SON = September-October-November.

  14. M

    Mobile Content Management Solutions Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Mar 20, 2025
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    Market Research Forecast (2025). Mobile Content Management Solutions Report [Dataset]. https://www.marketresearchforecast.com/reports/mobile-content-management-solutions-41867
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Mar 20, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

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

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

    The Mobile Content Management (MCM) Solutions market is experiencing robust growth, driven by the increasing adoption of mobile devices in the workplace and the rising need for secure and efficient content access and management across various industries. The market, estimated at $5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $15 billion by 2033. This expansion is fueled by several key factors. Firstly, the escalating demand for enhanced security features to protect sensitive data on mobile devices is a significant driver. Secondly, the increasing need for seamless collaboration and efficient workflows across diverse platforms is fueling the adoption of MCM solutions. Finally, the ongoing digital transformation across various sectors, including financial services, healthcare, and education, is further propelling market growth. The market is segmented by pricing tiers (Basic, Standard, Senior) catering to varied user needs and budgets and by industry verticals reflecting diverse application requirements. Several market trends are shaping the future of MCM. The integration of advanced technologies such as Artificial Intelligence (AI) and Machine Learning (ML) for enhanced content organization and security is gaining traction. Cloud-based MCM solutions are witnessing widespread adoption due to their scalability, accessibility, and cost-effectiveness. However, challenges remain. Concerns about data privacy and security, along with the complexities of integrating MCM solutions with existing IT infrastructure, can act as restraints on market growth. Nevertheless, the overall outlook for the MCM market remains positive, with significant growth potential driven by technological advancements and increasing mobile device usage in various business sectors. Key players in the market are continuously innovating and expanding their product offerings to meet the evolving demands of businesses. The competitive landscape is dynamic, with companies focusing on strategic partnerships and acquisitions to gain market share.

  15. M

    Mobile Content Management (MCM) Software Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Feb 22, 2025
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    Archive Market Research (2025). Mobile Content Management (MCM) Software Report [Dataset]. https://www.archivemarketresearch.com/reports/mobile-content-management-mcm-software-44114
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Feb 22, 2025
    Dataset authored and provided by
    Archive Market Research
    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 Mobile Content Management (MCM) Software market is projected to reach a value of 7277.1 million by 2033, exhibiting a CAGR of 19.3% from 2025 to 2033. Key drivers fueling this growth include the rising adoption of mobile devices in enterprises, the increasing need for secure and efficient data management, and the growing popularity of cloud-based MCM solutions. Furthermore, the proliferation of IoT devices and the increasing demand for real-time data access are contributing to market expansion. The market is segmented by type, application, and region. By type, on-premises and cloud-based solutions are gaining traction. By application, the telecom and IT, manufacturing, and BFSI verticals are significant contributors. Regionally, North America and Asia Pacific are the dominant markets, with Europe and the Middle East & Africa also exhibiting promising growth potential. Key players in the market include SAP, Citrix, VMware AirWatch, Broadcom, MobileIron, and Symantec, among others. These companies are focusing on strategic partnerships, technological advancements, and regional expansions to maintain market leadership and drive growth. Description: This comprehensive report provides an in-depth analysis of the global Mobile Content Management (MCM) software market. It examines the market concentration, key characteristics, product insights, market segmentation, regional insights, industry trends, and driving forces. The report offers actionable insights for stakeholders aiming to capitalize on market opportunities and mitigate potential risks.

  16. J

    Japan PPI: MS: MCM: MCM: Minerals for ceramic materials (expt limestone)

    • ceicdata.com
    + more versions
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    CEICdata.com, Japan PPI: MS: MCM: MCM: Minerals for ceramic materials (expt limestone) [Dataset]. https://www.ceicdata.com/en/japan/producer-price-index-2010100-minerals/ppi-ms-mcm-mcm-minerals-for-ceramic-materials-expt-limestone
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jan 1, 2016 - Dec 1, 2016
    Area covered
    Japan
    Variables measured
    Producer Prices
    Description

    Japan PPI: MS: MCM: MCM: Minerals for ceramic materials (expt limestone) data was reported at 106.900 2010=100 in Dec 2016. This stayed constant from the previous number of 106.900 2010=100 for Nov 2016. Japan PPI: MS: MCM: MCM: Minerals for ceramic materials (expt limestone) data is updated monthly, averaging 90.100 2010=100 from Jan 1980 (Median) to Dec 2016, with 444 observations. The data reached an all-time high of 106.900 2010=100 in Dec 2016 and a record low of 73.300 2010=100 in Feb 1980. Japan PPI: MS: MCM: MCM: Minerals for ceramic materials (expt limestone) data remains active status in CEIC and is reported by Bank of Japan. The data is categorized under Global Database’s Japan – Table JP.I098: Producer Price Index: 2010=100: Minerals.

  17. WCRP CMIP6 ScenarioMIP UA MCM-UA-1-0 ssp126 r1i1p1f2 Amon hfss gn v20190731

    • wdc-climate.de
    Updated May 16, 2023
    + more versions
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    Stouffer, Ronald (2023). WCRP CMIP6 ScenarioMIP UA MCM-UA-1-0 ssp126 r1i1p1f2 Amon hfss gn v20190731 [Dataset]. https://www.wdc-climate.de/ui/entry?acronym=C6_4686548
    Explore at:
    Dataset updated
    May 16, 2023
    Dataset provided by
    World Data Centerhttp://www.icsu-wds.org/
    Authors
    Stouffer, Ronald
    License

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

    Time period covered
    Jan 17, 2015 - Dec 17, 2100
    Area covered
    Variables measured
    surface_upward_sensible_heat_flux
    Description

    [ Derived from parent entry - See data hierarchy tab ]

    These data include all datasets published for 'CMIP6.ScenarioMIP.UA.MCM-UA-1-0.ssp126' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The Manabe Climate Model v1.0 - University of Arizona climate model, released in 1991, includes the following components: aerosol: Modifies surface albedoes (Haywood et al. 1997, doi: 10.1175/1520-0442(1997)0101562:GCMCOT2.0.CO;2), atmos: R30L14 (3.75 X 2.5 degree (long-lat) configuration; 96 x 80 longitude/latitude; 14 levels; top level 0.015 sigma, 15 mb), land: Standard Manabe bucket hydrology scheme (Manabe 1969, doi: 10.1175/1520-0493(1969)0970739:CATOC2.3.CO;2), landIce: Specified location - invariant in time, has high albedo and latent heat capacity, ocean: MOM1.0 (MOM1, 1.875 X 2.5 deg; 192 x 80 longitude/latitude; 18 levels; top grid cell 0-40 m), seaIce: Thermodynamic ice model (free drift dynamics). The model was run by the Department of Geosciences, University of Arizona, Tucson, AZ 85721, USA (UA) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, land: 250 km, landIce: 250 km, ocean: 250 km, seaIce: 250 km.

    Individuals using the data must abide by terms of use for CMIP6 data (https://pcmdi.llnl.gov/CMIP6/TermsOfUse). The original license restrictions on these datasets were recorded as global attributes in the data files, but these may have been subsequently updated.

  18. Japan PPI: MS: Minerals for Ceramic Materials (MCM)

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). Japan PPI: MS: Minerals for Ceramic Materials (MCM) [Dataset]. https://www.ceicdata.com/en/japan/producer-price-index-2010100-minerals/ppi-ms-minerals-for-ceramic-materials-mcm
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jan 1, 2016 - Dec 1, 2016
    Area covered
    Japan
    Variables measured
    Producer Prices
    Description

    Japan PPI: MS: Minerals for Ceramic Materials (MCM) data was reported at 102.400 2010=100 in Dec 2016. This stayed constant from the previous number of 102.400 2010=100 for Nov 2016. Japan PPI: MS: Minerals for Ceramic Materials (MCM) data is updated monthly, averaging 100.300 2010=100 from Jan 2010 (Median) to Dec 2016, with 84 observations. The data reached an all-time high of 103.500 2010=100 in Sep 2016 and a record low of 98.900 2010=100 in Jun 2013. Japan PPI: MS: Minerals for Ceramic Materials (MCM) data remains active status in CEIC and is reported by Bank of Japan. The data is categorized under Global Database’s Japan – Table JP.I098: Producer Price Index: 2010=100: Minerals.

  19. Multichip Module Mcm Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Multichip Module Mcm Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/multichip-module-mcm-market
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    csv, pptx, pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Multichip Module (MCM) Market Outlook



    The global Multichip Module (MCM) market size was valued at approximately USD 5.2 billion in 2023 and is projected to reach about USD 9.8 billion by 2032, reflecting a robust CAGR of 7.2% during the forecast period. The growth of this market is driven by numerous factors, including advancements in semiconductor technology, increasing demand for compact and efficient electronics, and the rising need for high-performance computing devices across various industries.



    One of the primary growth factors for the MCM market is the ongoing miniaturization of electronic devices. As consumer electronics become increasingly compact, there is a heightened demand for components that can deliver high performance within limited spaces. Multichip modules, which integrate multiple semiconductor dies into a single package, offer a solution to this challenge by enhancing the functionality of devices while conserving space. This trend is particularly evident in the smartphone and wearable technology markets, where size and performance are critical competitive factors.



    Another significant driver for the MCM market is the burgeoning telecommunications sector. With the global shift towards 5G technology, there is an escalating need for components that can handle higher frequencies and greater data rates. MCMs are crucial in this context as they can support the complex processing requirements of 5G infrastructure and devices. Additionally, the rise of the Internet of Things (IoT) has further accelerated the demand for MCMs, as these modules are integral to the efficient functioning of connected devices.



    The automotive industry also plays a pivotal role in the expansion of the MCM market. The shift towards electric vehicles (EVs) and advancements in autonomous driving technologies necessitate sophisticated electronic systems. MCMs contribute to this sector by providing the necessary processing power and reliability required for vehicle control and safety systems. Moreover, the increasing integration of infotainment and connectivity features in modern vehicles further amplifies the demand for MCMs.



    The integration of Hybrid Microcircuit technology into multichip modules is becoming increasingly significant as industries demand more efficient and compact electronic solutions. Hybrid Microcircuits, which combine different types of semiconductor devices and passive components into a single package, offer enhanced performance and reliability. This technology is particularly beneficial in applications where space constraints and high performance are critical, such as in aerospace and defense, telecommunications, and automotive sectors. By leveraging the advantages of Hybrid Microcircuits, manufacturers can achieve greater functionality and efficiency in their products, meeting the growing demands of modern electronic applications.



    Regionally, the Asia Pacific is anticipated to dominate the MCM market, driven by the presence of major semiconductor manufacturers and high adoption rates of advanced technologies. Countries like China, Japan, and South Korea are at the forefront of electronics manufacturing, which significantly contributes to the marketÂ’s growth in this region. North America and Europe are also key players, with substantial investments in technology development and a strong focus on innovation in sectors such as telecommunications and automotive.



    Type Analysis



    The Multichip Module market can be segmented by type into Digital MCM, Analog MCM, and Mixed-Signal MCM. Digital MCMs are primarily used in applications requiring high-speed data processing and large volume data handling. These modules are crucial in computing and telecommunications where rapid data transfer and processing are essential. The growth of cloud computing and data centers is significantly driving the demand for Digital MCMs. Additionally, the ongoing development in AI and machine learning technologies, which rely heavily on high-speed data processing, further boosts the demand for Digital MCMs.



    Analog MCMs, on the other hand, are vital in scenarios where signal fidelity and integrity are paramount. These modules find applications in automotive and aerospace industries, where precise control and measurement are critical. The increasing adoption of electric vehicles, which require efficient power management and signal processing, is a significant driver for the Analog MCM market. Additionally, the aerospace sectorÂ’s

  20. t

    BIOGRID CURATED DATA FOR MCM-3 (Caenorhabditis elegans)

    • thebiogrid.org
    zip
    Updated Nov 4, 2016
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    BioGRID Project (2016). BIOGRID CURATED DATA FOR MCM-3 (Caenorhabditis elegans) [Dataset]. https://thebiogrid.org/45006/table/caenorhabditis-elegans/mcm-3.html
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    zipAvailable download formats
    Dataset updated
    Nov 4, 2016
    Dataset authored and provided by
    BioGRID Project
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Protein-Protein, Genetic, and Chemical Interactions for MCM-3 (Caenorhabditis elegans) curated by BioGRID (https://thebiogrid.org); DEFINITION: mcm-3 encodes a member of the MCM2/3/5 family with similarity to human DNA replication licensing factor, MCM3, and affects embryonic viability.

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Ryan Greiner (2023). MCM Frequency Data [Dataset]. https://www.kaggle.com/datasets/ryangreiner/mcm-frequency-data/data
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MCM Frequency Data

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CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Feb 17, 2023
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Ryan Greiner
Description

Dataset

This dataset was created by Ryan Greiner

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