5 datasets found
  1. Calculation File Uploaded-AAJ_JS-14741.xlsx

    • figshare.com
    xlsx
    Updated Jun 26, 2023
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    Jayachandran A A (2023). Calculation File Uploaded-AAJ_JS-14741.xlsx [Dataset]. http://doi.org/10.6084/m9.figshare.23577831.v1
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    xlsxAvailable download formats
    Dataset updated
    Jun 26, 2023
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Jayachandran A A
    License

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

    Description

    Data contains 2022 world population data publised by the UN DESA for six most populous countries of the world. File also contains the analysis of decomposition of demographic indicators on population growth.

  2. Country list for bilateral international migration flow estimates

    • figshare.com
    csv
    Updated Mar 26, 2025
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    Guy Abel (2025). Country list for bilateral international migration flow estimates [Dataset]. http://doi.org/10.6084/m9.figshare.21408174.v3
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    csvAvailable download formats
    Dataset updated
    Mar 26, 2025
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Guy Abel
    License

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

    Description

    Countries used for estimates of bilateral international migration flows based on methods presented in Abel & Cohen (2019) and Abel & Cohen (2022). The countries in the list correspond to both the estimates in the Figshare collection for the total bilateral international migration flow estimates and the Figshare collection for the sex-specifc bilateral international migration flow estimates.Version DetailsThe countries in the list are for the update of estimates of international migration flows based on the most recent published UN DESA International Migrant Stock (IMS2024) and World Population Prospects (WPP2024) data inputs. Refer to the version history for previous country list files based on older versions of the IMS and WPP data.

  3. o

    The MacroDemography Database

    • openicpsr.org
    Updated Mar 15, 2023
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    Joseph Kopecky (2023). The MacroDemography Database [Dataset]. http://doi.org/10.3886/E186561V1
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    Dataset updated
    Mar 15, 2023
    Dataset provided by
    Trinity College Dublin
    Authors
    Joseph Kopecky
    License

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

    Time period covered
    1870 - 2018
    Area covered
    Panel of 18 countries
    Description

    The MacroDemography Database is an ongoing project aimed combining long-run macroeconomic and demographic data in a readily usable format for researchers aiming to explore questions relating to the relationship between economies and their underlying age structure. By enriching the set of demographic variables used in long run economic analysis while taking advantage of the contribution of the contribution of the Jordà-Schularick-Taylor Macrohistory Database in providing a rich set of macroeconomic variables for a panel of countries it is possible to revisit many questions in the literature on the economic implications of population aging that were not possible in the past. My aim is to continue to update this database with various sources of demographic variable to improve the completeness of the panel over time. At present the data contains an unbalanced panel of 18 countries spanning the time period from 1870 to 2018. The dataset "MacroDemography.dta" is the main data, while "MacroDemography_wProjections" appends median variant projections for population data from 2020 to 2100. This dataset uses the following sources that should be cited when using the relevant statistics. Please visit the source websites for more information and https://www.josephkopecky.com/ where updates will be regularly posted. For Macroeconomic Data:Òscar Jordà, Moritz Schularick, and Alan M. Taylor. 2017. “Macrofinancial History and the New Business Cycle Facts.” in NBER Macroeconomics Annual 2016, volume 31, edited by Martin Eichenbaum and Jonathan A. Parker. Chicago: University of Chicago Press. For rates of return data: Òscar Jordà, Katharina Knoll, Dmitry Kuvshinov, Moritz Schularick, and Alan M. Taylor. 2019. “The Rate of Return on Everything, 1870–2015.” Quarterly Journal of Economics, 134(3), 1225-1298. For data on bank balance sheet ratios:Òscar Jordà, Björn Richter, Moritz Schularick, and Alan M. Taylor. 2021. "Bank capital redux: solvency, liquidity, and crisis." The Review of Economic Studies, 88(1), 260-286. Much of the demographic data comes from the Human Mortality database:HMD. Human Mortality Database. Max Planck Institute for Demographic Research (Germany), University of California, Berkeley (USA), and French Institute for Demographic Studies (France). Available at www.mortality.org (data downloaded on 15/03/2023). US Data Population data pre-1933 comes from the US census:https://www.census.gov/data/tables/time-series/demo/popest/pre-1980-national.htmlData on projections comes from the UN Population Prospects data:United Nations, Department of Economic and Social Affairs, Population Division (2022). World Population Prospects 2022: Methodology of the United Nations population estimates and projections. UN DESA/POP/2022/TR/NO. 4.

  4. Nano Fiber Scaffold Market size was USD 1.1 billion in 2023!

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated May 23, 2025
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    Cognitive Market Research (2025). Nano Fiber Scaffold Market size was USD 1.1 billion in 2023! [Dataset]. https://www.cognitivemarketresearch.com/nano-fiber-scaffold-market-report
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    May 23, 2025
    Dataset authored and provided by
    Cognitive Market Research
    License

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

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, The Global Nano Fiber Scaffold market size is USD 1.1 billion in 2023 and will enhance at a compound annual growth rate (CAGR) of 5.90% from 2023 to 2030.

    The demand for nanofiber scaffolds is rising due to increased environmental concerns and filtration applications.
    Demand for polymeric nanofibers remains higher in the nanofiber scaffold market.
    The electrospinning category held the highest nanofiber scaffold market revenue share in 2023.
    North America will continue to lead, whereas the European Nano Fiber Scaffold market will experience the most substantial growth until 2030.
    

    Rise in Aged Population to Provide Viable Market Output

    The nanofiber scaffold market is experiencing growth due to the rise in the aged population. With an increasing number of elderly individuals worldwide, there is a heightened demand for advanced medical solutions to address age-related health issues. Nanofiber scaffolds are crucial in regenerative medicine and tissue engineering, offering enhanced support for cell growth and tissue regeneration. As the aging population continues to bolster, the need for innovative healthcare technologies grows, propelling the market for nanofiber scaffolds. These scaffolds hold promise in treating various age-related conditions, driving research, development, and adoption within the healthcare sector.

    For instance, as per World Population Prospects by the United Nations, the overall population is likely to exceed 9.3 billion by 2050, and around 21% of the population is expected to be aged 60 and above. 
    

    (Source:www.un.org/development/desa/en/news/population/world-population-prospects-2017.html)

    Rising Amount of Nanofibers in the Production of Automobiles Propel Market Growth
    

    The rising amount of nanofibers in automobile production propelled the market's growth. Nanofibers, with their exceptional mechanical properties and lightweight nature, are increasingly employed in producing automotive components. These advanced materials enhance structural strength, reduce weight, and improve vehicle fuel efficiency. Additionally, nanofiber scaffolds contribute to enhanced durability and performance, addressing the automotive industry's growing emphasis on sustainability and eco-friendly solutions. As the automotive sector continues to prioritize innovation and efficiency, the adoption of nanofiber scaffolds is expected to rise, driving the market's growth globally.

    For instance, according to the International Organization of Motor Vehicle Manufacturers, the total production of automobiles (commercial and Personal) globally in 2019 was 91,786,861 units compared to 96,869,020 units in 2018.
    

    (Source:www.oica.net/category/production-statistics/2019-statistics/)

    Market Dynamics of Nano Fiber Scaffold

    High Cost of Production to Restrict Market Growth
    

    The nanofiber scaffold market faces a challenge due to the high cost of production. The intricate and advanced manufacturing processes in creating nanofiber scaffolds and utilizing cutting-edge technologies and expensive raw materials contribute to elevated production costs. This cost challenge poses a barrier to widespread adoption and market growth, limiting accessibility for various applications. Addressing these cost issues is crucial for the nanofiber scaffold market to attain broader acceptance and capitalize on its potential benefits in diverse fields such as tissue engineering and biomedical applications.

    Optimization for vivo applications restrains the market growth 
    

    Despite the significant potential of electrospun nanofibers in tissue engineering, several technical and translational challenges continue to restrain the growth of the nanofiber scaffold market. Most studies to date have been limited to in vitro environments, which do not fully replicate the complex biological systems found in vivo. As a result, polymeric nanofiber scaffolds still require substantial optimization in terms of both composition and structural design to be viable for clinical applications. One of the key hurdles is the development of 3D porous architectures that support effective cell infiltration, viability, and integration with host tissues. Moreover, for these scaffolds to fulfill their therapeutic promise, they must be engineered to incorporate cells and bioactive factors such as growth factors. While companies like Astellas Pharm...

  5. a

    Global Cities

    • hub.arcgis.com
    Updated May 10, 2023
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    MapMaker (2023). Global Cities [Dataset]. https://hub.arcgis.com/maps/aa8135223a0e401bb46e11881d6df489
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    Dataset updated
    May 10, 2023
    Dataset authored and provided by
    MapMaker
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Area covered
    Description

    It is estimated that more than 8 billion people live on Earth and the population is likely to hit more than 9 billion by 2050. Approximately 55 percent of Earth’s human population currently live in areas classified as urban. That number is expected to grow by 2050 to 68 percent, according to the United Nations (UN).The largest cities in the world include Tōkyō, Japan; New Delhi, India; Shanghai, China; México City, Mexico; and São Paulo, Brazil. Each of these cities classifies as a megacity, a city with more than 10 million people. The UN estimates the world will have 43 megacities by 2030.Most cities' populations are growing as people move in for greater economic, educational, and healthcare opportunities. But not all cities are expanding. Those cities whose populations are declining may be experiencing declining fertility rates (the number of births is lower than the number of deaths), shrinking economies, emigration, or have experienced a natural disaster that resulted in fatalities or forced people to leave the region.This Global Cities map layer contains data published in 2018 by the Population Division of the United Nations Department of Economic and Social Affairs (UN DESA). It shows urban agglomerations. The UN DESA defines an urban agglomeration as a continuous area where population is classified at urban levels (by the country in which the city resides) regardless of what local government systems manage the area. Since not all places record data the same way, some populations may be calculated using the city population as defined by its boundary and the metropolitan area. If a reliable estimate for the urban agglomeration was unable to be determined, the population of the city or metropolitan area is used.Data Citation: United Nations Department of Economic and Social Affairs. World Urbanization Prospects: The 2018 Revision. Statistical Papers - United Nations (ser. A), Population and Vital Statistics Report, 2019, https://doi.org/10.18356/b9e995fe-en.

  6. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Jayachandran A A (2023). Calculation File Uploaded-AAJ_JS-14741.xlsx [Dataset]. http://doi.org/10.6084/m9.figshare.23577831.v1
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Calculation File Uploaded-AAJ_JS-14741.xlsx

Explore at:
xlsxAvailable download formats
Dataset updated
Jun 26, 2023
Dataset provided by
figshare
Figsharehttp://figshare.com/
Authors
Jayachandran A A
License

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

Description

Data contains 2022 world population data publised by the UN DESA for six most populous countries of the world. File also contains the analysis of decomposition of demographic indicators on population growth.

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