61 datasets found
  1. Socio-economic and demographic profile of the study population, India.

    • plos.figshare.com
    xls
    Updated Jun 11, 2023
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    Ratna Patel; Strong P. Marbaniang; Shobhit Srivastava; Pradeep Kumar; Shekhar Chauhan; David J. Simon (2023). Socio-economic and demographic profile of the study population, India. [Dataset]. http://doi.org/10.1371/journal.pone.0247943.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 11, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Ratna Patel; Strong P. Marbaniang; Shobhit Srivastava; Pradeep Kumar; Shekhar Chauhan; David J. Simon
    License

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

    Area covered
    India
    Description

    Socio-economic and demographic profile of the study population, India.

  2. Socioeconomic and demographic profile of the population of India and three...

    • plos.figshare.com
    xls
    Updated May 30, 2023
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    Praveen Kumar Pathak; Abhishek Singh; S. V. Subramanian (2023). Socioeconomic and demographic profile of the population of India and three selected states of Uttar Pradesh, Maharashtra, Tamil Nadu. [Dataset]. http://doi.org/10.1371/journal.pone.0013593.t001
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    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Praveen Kumar Pathak; Abhishek Singh; S. V. Subramanian
    License

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

    Area covered
    Tamil Nadu, Uttar Pradesh, Maharashtra, India
    Description

    aORGI, 2004;bSample Registration System Bulletin (SRS), Vol 43, No.1, October 2008, Registrar General, Government of India, New Delhi;cSample Registration System (SRS), Statistical Report 2007, Office of the Registrar General, Government of India, New Delhi;dSRS Abridged Life Table 2002–06, Office Registrar General of India, Ministry of Home Affairs, New Delhi;eEconomic Survey, 2008–09, Ministry of Finance, Economic Division, Government of India, New Delhi;fINR- Indian national rupee, estimates of the National Sample Survey Organization (NSSO), 2004–05;gMMR- Special Bulletin on Maternal Mortality in India-2004–06, SRS, Office of Registrar General, India, Vital Statistics Division, New Delhi;hNational Human Development Report (2002), Planning Commission, Government of India. Yojana Bhavan, Sansad Marg, New Delhi.

  3. Seeds as Potential Sources of Phenolic Compounds and Minerals for Indian...

    • zenodo.org
    • produccioncientifica.ugr.es
    Updated Jul 16, 2024
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    J.A. Rufián-Henares; J.A. Rufián-Henares (2024). Seeds as Potential Sources of Phenolic Compounds and Minerals for Indian population [Dataset]. http://doi.org/10.5281/zenodo.6466397
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    Dataset updated
    Jul 16, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    J.A. Rufián-Henares; J.A. Rufián-Henares
    License

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

    Description

    This is the supplementary information of the paper "Seeds as Potential Sources of Phenolic Compounds and Minerals for Indian population" submitted for publication to the journal "Molecules"

  4. d

    Data from: Same places, same stories? Genomics reveals similar structuring...

    • search.dataone.org
    • datadryad.org
    • +1more
    Updated Jan 4, 2024
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    Nicolas Oury; Stefano Mona; Helene Magalon (2024). Same places, same stories? Genomics reveals similar structuring and demographic patterns for four Pocillopora coral species in the southwestern Indian Ocean [Dataset]. http://doi.org/10.5061/dryad.pnvx0k6vw
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    Dataset updated
    Jan 4, 2024
    Dataset provided by
    Dryad Digital Repository
    Authors
    Nicolas Oury; Stefano Mona; Helene Magalon
    Time period covered
    Jan 1, 2023
    Description

    Aim Efficiently protecting species requires knowing their ecological, life history and reproductive traits. This is particularly decisive for scleractinian corals, key components of coral reefs, which are experiencing critical declines. Yet their connectivity remains insufficiently documented. Here, we focused on four distinct species of the coral genus Pocillopora found in diverse habitats of the southwestern Indian Ocean and presenting various reproductive strategies. We aimed to understand whether these traits affect species connectivity. Location Archipelagos and islands of the southwestern Indian Ocean. Taxon Pocillopora spp. Methods We used target-capture to collect single-nucleotide polymorphisms (SNPs) from over a thousand colonies sampled across nine localities. From the ca. 1,400 SNPs retained per species, Bayesian clustering methods, networks and demographic inferences were applied to first infer the population genetic structure and connectivity of each species, then the demo..., , , README for data from: Oury N, Mona S, Magalon H (2023) Same places, same stories? Genomics reveals similar structuring and demographic patterns for four Pocillopora coral species in the southwestern Indian Ocean. Journal of Biogeography n/a:1–15. doi: 10.1111/jbi.14788

    Available at .

    Data included:

    1) Command_line_examples.docx and Command_line_examples.txt contain examples of the command lines used for reads processing and population structure analyses in Oury et al. (2023 - J Biogeogr). These are provided in two different formats for compatibility reasons.

    2) DB_FAMD.txt contains the data for the FAMD (one line for each pair of conspecific populations).

    Column details:

    - Species: Pocillopora species for populations 1 & 2
    - Cluster1, Cluster2: Cluster for populations 1 & 2
    - Comp: Type of comparison (intra-cluster vs. inter-cluster)
    - CompxCluster = column Cluster1 vs. column Cluster2
    - Pop1, Pop2: populations 1 & 2
    - Dist: Distance at sea (in km) between popula...
    
  5. Socio-demographic and health indicators of India and study districts.

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 1, 2023
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    Shally Awasthi; Chandra Mani Pandey; Tuhina Verma; Neha Mishra (2023). Socio-demographic and health indicators of India and study districts. [Dataset]. http://doi.org/10.1371/journal.pone.0214086.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Shally Awasthi; Chandra Mani Pandey; Tuhina Verma; Neha Mishra
    License

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

    Area covered
    India
    Description

    Socio-demographic and health indicators of India and study districts.

  6. f

    Direct-survey based estimates and model-based estimates of women who worked...

    • plos.figshare.com
    xls
    Updated Feb 19, 2025
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    Swati Srivastava; Kaushalendra Kumar; Lotus McDougal; Ashish Kumar Upadhyay; Katherine Hay; Abhishek Singh (2025). Direct-survey based estimates and model-based estimates of women who worked in the past 12 months, women who were self-employed in the past 12 months and women who earned cash in the past 12 months in districts of India, 2019–21. [Dataset]. http://doi.org/10.1371/journal.pone.0317783.t002
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    xlsAvailable download formats
    Dataset updated
    Feb 19, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Swati Srivastava; Kaushalendra Kumar; Lotus McDougal; Ashish Kumar Upadhyay; Katherine Hay; Abhishek Singh
    License

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

    Area covered
    India
    Description

    Direct-survey based estimates and model-based estimates of women who worked in the past 12 months, women who were self-employed in the past 12 months and women who earned cash in the past 12 months in districts of India, 2019–21.

  7. f

    Socio-demographic and lifestyle characteristics of Indian Migration Study...

    • figshare.com
    xls
    Updated Jun 6, 2023
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    Krithiga Shridhar; Preet Kaur Dhillon; Liza Bowen; Sanjay Kinra; Ankalmadugu Venkatsubbareddy Bharathi; Dorairaj Prabhakaran; Kolli Srinath Reddy; Shah Ebrahim (2023). Socio-demographic and lifestyle characteristics of Indian Migration Study population. [Dataset]. http://doi.org/10.1371/journal.pone.0110586.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 6, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Krithiga Shridhar; Preet Kaur Dhillon; Liza Bowen; Sanjay Kinra; Ankalmadugu Venkatsubbareddy Bharathi; Dorairaj Prabhakaran; Kolli Srinath Reddy; Shah Ebrahim
    License

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

    Description

    Socio-demographic and lifestyle characteristics of Indian Migration Study population.

  8. f

    Profiles and demographic characteristics of states in northeast India.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 2, 2023
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    Konsam Dinachandra Singh; Manoj Alagarajan; Laishram Ladusingh (2023). Profiles and demographic characteristics of states in northeast India. [Dataset]. http://doi.org/10.1371/journal.pone.0130567.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Konsam Dinachandra Singh; Manoj Alagarajan; Laishram Ladusingh
    License

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

    Area covered
    Northeast India, India
    Description

    Sources: 1- Census of India, 2011, 2- Sample Registration System, 2011Profiles and demographic characteristics of states in northeast India.

  9. f

    Estimated adjusted odds ratio showing the likelihood to occurrence of...

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
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    Rufi Shaikh; Junaid Khan (2023). Estimated adjusted odds ratio showing the likelihood to occurrence of multiple (one, two, three, four and five/six) risk factors among Indian men and women by their socio-economic and demographic characteristics, India, 2005–06. [Dataset]. http://doi.org/10.1371/journal.pone.0244559.t005
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Rufi Shaikh; Junaid Khan
    License

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

    Area covered
    India
    Description

    Estimated adjusted odds ratio showing the likelihood to occurrence of multiple (one, two, three, four and five/six) risk factors among Indian men and women by their socio-economic and demographic characteristics, India, 2005–06.

  10. Study population characteristics by sex and migration status. Indian...

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    Liza Bowen; Shah Ebrahim; Bianca De Stavola; Andy Ness; Sanjay Kinra; A.V. Bharathi; Dorairaj Prabhakaran; K. Srinath Reddy (2023). Study population characteristics by sex and migration status. Indian migration study, 2005–2007. [Dataset]. http://doi.org/10.1371/journal.pone.0014822.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Liza Bowen; Shah Ebrahim; Bianca De Stavola; Andy Ness; Sanjay Kinra; A.V. Bharathi; Dorairaj Prabhakaran; K. Srinath Reddy
    License

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

    Area covered
    India
    Description

    Study population characteristics by sex and migration status. Indian migration study, 2005–2007.

  11. Percentage of Female displaced from the lower and upper limit of...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Kakoli Borkotoky; Sayeed Unisa (2023). Percentage of Female displaced from the lower and upper limit of reproductive age group in the major states of India during DLHS-3 survey. [Dataset]. http://doi.org/10.1371/journal.pone.0090113.t006
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Kakoli Borkotoky; Sayeed Unisa
    License

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

    Area covered
    India
    Description

    Percentage of Female displaced from the lower and upper limit of reproductive age group in the major states of India during DLHS-3 survey.

  12. Distribution of systolic and diastolic blood pressure among males according...

    • figshare.com
    • plos.figshare.com
    xls
    Updated Oct 29, 2025
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    Prakash Mathiyalagen; Anand Rajagopal; Kavita Vasudevan; Sridevi Gnanasekaran; Sharath Burugina Nagaraja; Jayanta Bora; Sonu Goel (2025). Distribution of systolic and diastolic blood pressure among males according to socio-demographic, behavioral and physiological characteristics of the study population, NFHS-5, 2019−21, India (N = 1,01,839). [Dataset]. http://doi.org/10.1371/journal.pone.0332226.t001
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    xlsAvailable download formats
    Dataset updated
    Oct 29, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Prakash Mathiyalagen; Anand Rajagopal; Kavita Vasudevan; Sridevi Gnanasekaran; Sharath Burugina Nagaraja; Jayanta Bora; Sonu Goel
    License

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

    Description

    Distribution of systolic and diastolic blood pressure among males according to socio-demographic, behavioral and physiological characteristics of the study population, NFHS-5, 2019−21, India (N = 1,01,839).

  13. Background characteristics of the study population in India, NFHS-5...

    • plos.figshare.com
    xls
    Updated Mar 18, 2024
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    Margubur Rahaman; Avijit Roy; Pradip Chouhan; Md. Juel Rana (2024). Background characteristics of the study population in India, NFHS-5 (2019–21). [Dataset]. http://doi.org/10.1371/journal.pone.0295788.t001
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    xlsAvailable download formats
    Dataset updated
    Mar 18, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Margubur Rahaman; Avijit Roy; Pradip Chouhan; Md. Juel Rana
    License

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

    Area covered
    India
    Description

    Background characteristics of the study population in India, NFHS-5 (2019–21).

  14. Pulmonary tuberculosis (TB) estimates in the Indian population.

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
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    Ritesh Agarwal; David W. Denning; Arunaloke Chakrabarti (2023). Pulmonary tuberculosis (TB) estimates in the Indian population. [Dataset]. http://doi.org/10.1371/journal.pone.0114745.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Ritesh Agarwal; David W. Denning; Arunaloke Chakrabarti
    License

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

    Description

    CPA: chronic pulmonary aspergillosis.Pulmonary tuberculosis (TB) estimates in the Indian population.

  15. Refugee population in India as of December 15, 1971.

    • plos.figshare.com
    xls
    Updated Apr 4, 2025
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    Kaustubh Adhikari; Nazmul Islam; Mohammad Mahbubur Rahman Jalal (2025). Refugee population in India as of December 15, 1971. [Dataset]. http://doi.org/10.1371/journal.pone.0320760.t001
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    xlsAvailable download formats
    Dataset updated
    Apr 4, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Kaustubh Adhikari; Nazmul Islam; Mohammad Mahbubur Rahman Jalal
    License

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

    Area covered
    India
    Description

    Refugee population in India as of December 15, 1971.

  16. f

    Summary statistics for the outcome and explanatory variables across 640...

    • plos.figshare.com
    xls
    Updated Jun 9, 2023
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    Vandana Tamrakar; Ankita Srivastava; Nandita Saikia; Mukesh C. Parmar; Sudheer Kumar Shukla; Shewli Shabnam; Bandita Boro; Apala Saha; Benjamin Debbarma (2023). Summary statistics for the outcome and explanatory variables across 640 districts of India. [Dataset]. http://doi.org/10.1371/journal.pone.0257533.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Vandana Tamrakar; Ankita Srivastava; Nandita Saikia; Mukesh C. Parmar; Sudheer Kumar Shukla; Shewli Shabnam; Bandita Boro; Apala Saha; Benjamin Debbarma
    License

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

    Area covered
    India
    Description

    Summary statistics for the outcome and explanatory variables across 640 districts of India.

  17. Forecasting Results of the population structures for China, India, and...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 3, 2023
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    Yigang Wei; Zhichao Wang; Huiwen Wang; Yan Li; Zhenyu Jiang (2023). Forecasting Results of the population structures for China, India, and Vietnam (Unit: %). [Dataset]. http://doi.org/10.1371/journal.pone.0212772.t007
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Yigang Wei; Zhichao Wang; Huiwen Wang; Yan Li; Zhenyu Jiang
    License

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

    Area covered
    Vietnam, India, China
    Description

    Forecasting Results of the population structures for China, India, and Vietnam (Unit: %).

  18. OLS and spatial error model to assess the association between demographic...

    • plos.figshare.com
    xls
    Updated Feb 19, 2025
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    Swati Srivastava; Kaushalendra Kumar; Lotus McDougal; Ashish Kumar Upadhyay; Katherine Hay; Abhishek Singh (2025). OLS and spatial error model to assess the association between demographic characteristic and women’s work in India, 2019–21. [Dataset]. http://doi.org/10.1371/journal.pone.0317783.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Feb 19, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Swati Srivastava; Kaushalendra Kumar; Lotus McDougal; Ashish Kumar Upadhyay; Katherine Hay; Abhishek Singh
    License

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

    Area covered
    India
    Description

    OLS and spatial error model to assess the association between demographic characteristic and women’s work in India, 2019–21.

  19. Prevalence rate and percent distribution of asthma cases by socio-economic,...

    • plos.figshare.com
    xls
    Updated Jun 3, 2023
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    Prakash Kumar; Usha Ram (2023). Prevalence rate and percent distribution of asthma cases by socio-economic, demographic and life-style characteristics of population, India, 2011–12. [Dataset]. http://doi.org/10.1371/journal.pone.0185938.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Prakash Kumar; Usha Ram
    License

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

    Area covered
    India
    Description

    Prevalence rate and percent distribution of asthma cases by socio-economic, demographic and life-style characteristics of population, India, 2011–12.

  20. White noise tests for error series of three age periods for China, India and...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated May 30, 2023
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    Yigang Wei; Zhichao Wang; Huiwen Wang; Yan Li; Zhenyu Jiang (2023). White noise tests for error series of three age periods for China, India and Vietnam. [Dataset]. http://doi.org/10.1371/journal.pone.0212772.t006
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Yigang Wei; Zhichao Wang; Huiwen Wang; Yan Li; Zhenyu Jiang
    License

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

    Area covered
    Vietnam, India, China
    Description

    White noise tests for error series of three age periods for China, India and Vietnam.

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Ratna Patel; Strong P. Marbaniang; Shobhit Srivastava; Pradeep Kumar; Shekhar Chauhan; David J. Simon (2023). Socio-economic and demographic profile of the study population, India. [Dataset]. http://doi.org/10.1371/journal.pone.0247943.t001
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Socio-economic and demographic profile of the study population, India.

Related Article
Explore at:
xlsAvailable download formats
Dataset updated
Jun 11, 2023
Dataset provided by
PLOShttp://plos.org/
Authors
Ratna Patel; Strong P. Marbaniang; Shobhit Srivastava; Pradeep Kumar; Shekhar Chauhan; David J. Simon
License

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

Area covered
India
Description

Socio-economic and demographic profile of the study population, India.

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