93 datasets found
  1. n

    D.P.F.C.-154-155 Lim Santang (36) Census 2011

    • gramvikas.nskmultiservices.in
    Updated Mar 1, 2011
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    (2011). D.P.F.C.-154-155 Lim Santang (36) Census 2011 [Dataset]. https://gramvikas.nskmultiservices.in/india/himachal-pradesh/kinnaur/sangla/dpfc-154-155-lim-santang-36
    Explore at:
    Dataset updated
    Mar 1, 2011
    License

    https://data.gov.in/sites/default/files/Gazette_Notification_OGDL.pdfhttps://data.gov.in/sites/default/files/Gazette_Notification_OGDL.pdf

    Time period covered
    2011
    Description

    Comprehensive population and demographic data for D.P.F.C.-154-155 Lim Santang (36) Village

  2. f

    Demographic and baseline characteristics of the surveyed population...

    • figshare.com
    xls
    Updated Jun 2, 2023
    + more versions
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    Sun Tee Tay; Hafizatul Anis Mohamed Zan; Yvonne A. L. Lim; Romano Ngui (2023). Demographic and baseline characteristics of the surveyed population (n = 280). [Dataset]. http://doi.org/10.1371/journal.pntd.0002341.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS Neglected Tropical Diseases
    Authors
    Sun Tee Tay; Hafizatul Anis Mohamed Zan; Yvonne A. L. Lim; Romano Ngui
    License

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

    Description

    Demographic and baseline characteristics of the surveyed population (n = 280).

  3. Selected housing characteristics, low income indicators and knowledge of...

    • ouvert.canada.ca
    • datasets.ai
    • +2more
    csv, html, xml
    Updated Feb 2, 2023
    + more versions
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    Statistics Canada (2023). Selected housing characteristics, low income indicators and knowledge of official languages, by visible minority and other characteristics for the population in private households [Dataset]. https://ouvert.canada.ca/data/dataset/01f330ba-dbef-40af-bd3e-8eadd1da77a4
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    html, csv, xmlAvailable download formats
    Dataset updated
    Feb 2, 2023
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Proportion of the population living: in a dwelling owned by some members of the household; in core housing need and; in suitable dwelling, proportion of the population living alone, poverty rate (MBM), prevalence of low income (LIM-AT) and (LIM-BT), knowledge of official languages, by visible minority and selected characteristics (gender, age group, first official language spoken, immigrant status, period of immigration, generation status and highest certificate, degree or diploma).

  4. a

    Prevalence of Low Income Households by Dissemination Area (2015)

    • hub.arcgis.com
    • communautaire-esrica-apps.hub.arcgis.com
    Updated Dec 13, 2017
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    The City of Saint John (2017). Prevalence of Low Income Households by Dissemination Area (2015) [Dataset]. https://hub.arcgis.com/documents/faae444709d04757b086599a73e76143
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    Dataset updated
    Dec 13, 2017
    Dataset authored and provided by
    The City of Saint John
    Area covered
    Description

    Thematic map showing the prevalence of low income by dissemination area, in 2015, for the Saint John census metropolitan area. This map was created using the Low-income measure after tax (LIM-AT). The Low-income measure, after tax, refers to a fixed percentage (50%) of median-adjusted after-tax income of private households. The household after-tax income is adjusted by an equivalence scale to take economies of scale into account. This adjustment for different household sizes reflects the fact that a household's needs increase, but at a decreasing rate, as the number of members increases.

    Using data from the 2016 Census of Population, the line applicable to a household is defined as half the Canadian median of the adjusted household after-tax income multiplied by the square root of household size. The median is determined based on all persons in private households where low-income concepts are applicable. Thresholds for specific household sizes are presented in Table 4.2 Low-income measures thresholds (LIM-AT and LIM-BT) for private households of Canada, 2015, Dictionary, Census of Population, 2016.

  5. f

    Demographic and anthropometric characteristics of study samples of different...

    • plos.figshare.com
    xls
    Updated Jun 8, 2023
    + more versions
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    Jyoti Kundu; Shikha Bakshi; Himanshu Joshi; Sanjay K. Bhadada; Indu Verma; Sadhna Sharma (2023). Demographic and anthropometric characteristics of study samples of different groups. [Dataset]. http://doi.org/10.1371/journal.pone.0233326.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jyoti Kundu; Shikha Bakshi; Himanshu Joshi; Sanjay K. Bhadada; Indu Verma; Sadhna Sharma
    License

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

    Description

    Demographic and anthropometric characteristics of study samples of different groups.

  6. d

    Data from: Polaris: Catalyzing Demographic Change in the Arctic Research...

    • search.dataone.org
    • search-demo.dataone.org
    • +1more
    Updated Apr 3, 2018
    + more versions
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    Sarah Ludwig; Robert M Holmes; Susan Natali; Paul Mann; John Schade; Jordan Jimmie; Emily Bristol; Darcy Peter; Jessica Dabrowski; Laura Jardine; Homero Pena; Edauri Navarro-Perez; Nadia Sae-Lim; Sierra Melton (2018). Polaris: Catalyzing Demographic Change in the Arctic Research Community through an Immersive and Sustained Undergraduate Research Experience [Dataset]. https://search.dataone.org/view/urn:uuid:c4fcd7c5-e8bf-4c57-b81c-9674573be5d6
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    Dataset updated
    Apr 3, 2018
    Dataset provided by
    Arctic Data Center
    Authors
    Sarah Ludwig; Robert M Holmes; Susan Natali; Paul Mann; John Schade; Jordan Jimmie; Emily Bristol; Darcy Peter; Jessica Dabrowski; Laura Jardine; Homero Pena; Edauri Navarro-Perez; Nadia Sae-Lim; Sierra Melton
    Time period covered
    Jun 25, 2017 - Aug 10, 2017
    Area covered
    Description

    This project is integrating scientific research in the Arctic with education and outreach, with a strong central focus on engaging undergraduate students and visiting faculty from groups that have had little involvement in Arctic science to date. Science and society in the United States will be stronger in the long-term if the scientific workforce more closely reflects the racial, ethnic, and cultural diversity of its residents. The Arctic research community currently does not. Of the Principal Investigators funded by NSF's Arctic programs in the past five years, only 1% were African American, Hispanic, Native American, or Alaska Native. This project is catalyzing change in these demographics by engaging faculty from Minority Serving Institutions (MSIs) and a diverse group of undergraduate students in cutting-edge Arctic research and providing them encouragement, mentoring, and opportunities to continue pursuing Arctic studies in subsequent years. The central element of the project is a month-long research expedition to the Yukon River Delta in Alaska. The expedition provides a deep intellectual and cultural immersion in the context of an authentic research experience that is paramount for "hooking" students and keeping them moving along the pipeline to careers as Arctic scientists. The overarching scientific issue that drives the research is the vulnerability and fate of ancient carbon stored in Arctic permafrost (permanently frozen ground). Widespread permafrost thaw is expected to occur this century, but large uncertainties remain in estimating the timing, magnitude, and form of carbon that will be released when thawed. Project participants are working in collaborative research groups to make fundamental scientific discoveries related to the vulnerability of permafrost carbon in the Yukon River Delta and the potential implications of permafrost thaw in this region for the global climate system.

  7. f

    Table 1. Patients' demographic data.

    • plos.figshare.com
    xls
    Updated Jun 8, 2023
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    Kue Peng Lim; Nicole Ai Leng Chun; Siti Mazlipah Ismail; Mannil Thomas Abraham; Mohd Nury Yusoff; Rosnah Binti Zain; Wei Cheong Ngeow; Sathibalan Ponniah; Sok Ching Cheong (2023). Table 1. Patients' demographic data. [Dataset]. http://doi.org/10.1371/journal.pone.0103975.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Kue Peng Lim; Nicole Ai Leng Chun; Siti Mazlipah Ismail; Mannil Thomas Abraham; Mohd Nury Yusoff; Rosnah Binti Zain; Wei Cheong Ngeow; Sathibalan Ponniah; Sok Ching Cheong
    License

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

    Description

    Others: Indigenous population.* Others: Lip, palate, floor of mouth.

  8. f

    Results of principal component analyses on the digital literacy survey...

    • plos.figshare.com
    xls
    Updated Aug 30, 2023
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    Amrish Soundararajan; Jie Xin Lim; Nerice Heng Wen Ngiam; Angeline Jie-Yin Tey; Aaron Kai Wen Tang; Haikel A. Lim; Ka Shing Yow; Ling Jie Cheng; Jess Ho; Qun Xuan Nigel Teo; Wan Qi Yee; Sungwon Yoon; Lian Leng Low; Kennedy Yao Yi Ng (2023). Results of principal component analyses on the digital literacy survey itemsa. [Dataset]. http://doi.org/10.1371/journal.pone.0290557.t002
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    xlsAvailable download formats
    Dataset updated
    Aug 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Amrish Soundararajan; Jie Xin Lim; Nerice Heng Wen Ngiam; Angeline Jie-Yin Tey; Aaron Kai Wen Tang; Haikel A. Lim; Ka Shing Yow; Ling Jie Cheng; Jess Ho; Qun Xuan Nigel Teo; Wan Qi Yee; Sungwon Yoon; Lian Leng Low; Kennedy Yao Yi Ng
    License

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

    Description

    Results of principal component analyses on the digital literacy survey itemsa.

  9. u

    Selected housing characteristics, low income indicators and knowledge of...

    • data.urbandatacentre.ca
    • beta.data.urbandatacentre.ca
    Updated Sep 30, 2024
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    (2024). Selected housing characteristics, low income indicators and knowledge of official languages, by visible minority and other characteristics for the population in private households - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-01f330ba-dbef-40af-bd3e-8eadd1da77a4
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    Dataset updated
    Sep 30, 2024
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    Proportion of the population living: in a dwelling owned by some members of the household; in core housing need and; in suitable dwelling, proportion of the population living alone, poverty rate (MBM), prevalence of low income (LIM-AT) and (LIM-BT), knowledge of official languages, by visible minority and selected characteristics (gender, age group, first official language spoken, immigrant status, period of immigration, generation status and highest certificate, degree or diploma).

  10. d

    Data from: Genetic variability, local selection and demographic history:...

    • datadryad.org
    • datamed.org
    zip
    Updated Jun 1, 2016
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    Le Wang; Zi YI Wan; Huan Sein Lim; Gen Hua Yue (2016). Genetic variability, local selection and demographic history: genomic evidence of evolving towards allopatric speciation in Asian seabass [Dataset]. http://doi.org/10.5061/dryad.hm23p
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    zipAvailable download formats
    Dataset updated
    Jun 1, 2016
    Dataset provided by
    Dryad
    Authors
    Le Wang; Zi YI Wan; Huan Sein Lim; Gen Hua Yue
    Time period covered
    2016
    Area covered
    Southeast Asia, Australia
    Description

    SNP genotypes of Asian seabassThe genotype dataset contains 32433 ddRAD-based SNP loci for 131 individuals across 6 wild populations of Asian seabass.All_genotypes.txt

  11. W

    Scottish Cattle Population on 1 Jan 2013

    • cloud.csiss.gmu.edu
    • gimi9.com
    • +2more
    csv
    Updated Dec 24, 2019
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    United Kingdom (2019). Scottish Cattle Population on 1 Jan 2013 [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/scottish-cattle-population-on-1-jan-2013
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    csvAvailable download formats
    Dataset updated
    Dec 24, 2019
    Dataset provided by
    United Kingdom
    Description

    This dataset as reported to the Rural Payments Agency contains all breeds is the total of all cattle population in each County. AA, AAX, LIM and LIMX are included in this figure. Attribution statement:

  12. f

    Summary of image characteristics and available demographic information.

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    Seung Seog Han; Gyeong Hun Park; Woohyung Lim; Myoung Shin Kim; Jung Im Na; Ilwoo Park; Sung Eun Chang (2023). Summary of image characteristics and available demographic information. [Dataset]. http://doi.org/10.1371/journal.pone.0191493.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Seung Seog Han; Gyeong Hun Park; Woohyung Lim; Myoung Shin Kim; Jung Im Na; Ilwoo Park; Sung Eun Chang
    License

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

    Description

    Summary of image characteristics and available demographic information.

  13. o

    Documentation, process and implementation of advance care planning in the...

    • osf.io
    Updated May 26, 2023
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    Nadine Lusney; Camara van Breemen; Edlyn Lim; Colleen Pawliuk; Zahra Hussein (2023). Documentation, process and implementation of advance care planning in the pediatric population: A scoping review [Dataset]. http://doi.org/10.17605/OSF.IO/E6K8C
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    Dataset updated
    May 26, 2023
    Dataset provided by
    Center For Open Science
    Authors
    Nadine Lusney; Camara van Breemen; Edlyn Lim; Colleen Pawliuk; Zahra Hussein
    License

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

    Description

    No description was included in this Dataset collected from the OSF

  14. f

    Description on demographic information of the participants (N = 120).

    • plos.figshare.com
    xls
    Updated Jun 13, 2023
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    Linthini Gannetion; Kong Yong Wong; Poh Ying Lim; Kah Haw Chang; Ahmad Fahmi Lim Abdullah (2023). Description on demographic information of the participants (N = 120). [Dataset]. http://doi.org/10.1371/journal.pone.0268756.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Linthini Gannetion; Kong Yong Wong; Poh Ying Lim; Kah Haw Chang; Ahmad Fahmi Lim Abdullah
    License

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

    Description

    Description on demographic information of the participants (N = 120).

  15. f

    Demographic and clinical characteristics of the study participants.

    • plos.figshare.com
    xls
    Updated Jun 5, 2023
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    Changtae Hahn; Hyun-Kook Lim; Wang Yeon Won; Kook Jin Ahn; Won-Sang Jung; Chang Uk Lee (2023). Demographic and clinical characteristics of the study participants. [Dataset]. http://doi.org/10.1371/journal.pone.0053493.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Changtae Hahn; Hyun-Kook Lim; Wang Yeon Won; Kook Jin Ahn; Won-Sang Jung; Chang Uk Lee
    License

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

    Description

    AINPI, Apathy/Indifference domain of Neuropsychiatric Inventory; CDR, Clinical Dementia Rating Scale; DDNPI, Depression/Dysphoria domain of Neuropsychiatric Inventory; IA, Apathy Inventory; TIV, total intracranial volume;

  16. f

    Demographic characteristics of participants.

    • plos.figshare.com
    xls
    Updated Apr 22, 2025
    + more versions
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    Jun-Seo Lim; Hye-Kyung Oh (2025). Demographic characteristics of participants. [Dataset]. http://doi.org/10.1371/journal.pone.0321745.t002
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    xlsAvailable download formats
    Dataset updated
    Apr 22, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Jun-Seo Lim; Hye-Kyung Oh
    License

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

    Description

    The increases in the older population, the prevalence of dementia, and the resulting social costs are burdensome to individuals, families, and the nation. This study examines whether the social robot PIO program intervention is effective for cognitive function and depression for older adults with mild to moderate dementia using two daycare centers in Daegu, Korea. Older adults with mild to moderate dementia and using a daycare center were included in the experimental (n = 33) and control (n = 33) groups. The experimental group participated in the social robot PIO program twice a week, 12 sessions, 50 minutes day for 6 weeks, and the control group received the usual care. From October 2022 through December 2022, a total 66 participants were included. Results showed that the cognitive function of the experimental group increased by 3.9±3.66, from 18.1±4.54 before intervention to 21.9±5.17 after intervention; the control group increased by 0.1±4.13, from 18.2±4.91 before intervention to 18.2± 4.77 after intervention. The difference between the two groups was statistically significant (t = 3.94, p

  17. f

    Prevalence of mild cognitive impairment by socio-demographics.

    • plos.figshare.com
    xls
    Updated Jun 14, 2023
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    Kyle Masato Ishikawa; James Davis; John J. Chen; Eunjung Lim (2023). Prevalence of mild cognitive impairment by socio-demographics. [Dataset]. http://doi.org/10.1371/journal.pone.0269795.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 14, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Kyle Masato Ishikawa; James Davis; John J. Chen; Eunjung Lim
    License

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

    Description

    Prevalence of mild cognitive impairment by socio-demographics.

  18. f

    Basic demographic and baseline clinical characteristics of 103 HIV-1...

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Wei Zhen Chow; Sin How Lim; Lai Yee Ong; Yean Kong Yong; Yutaka Takebe; Adeeba Kamarulzaman; Kok Keng Tee (2023). Basic demographic and baseline clinical characteristics of 103 HIV-1 patients initiating cART in Kuala Lumpur, Malaysia. [Dataset]. http://doi.org/10.1371/journal.pone.0137281.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Wei Zhen Chow; Sin How Lim; Lai Yee Ong; Yean Kong Yong; Yutaka Takebe; Adeeba Kamarulzaman; Kok Keng Tee
    License

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

    Area covered
    Malaysia, Federal Territory of Kuala Lumpur
    Description

    Categorical variables are described as n (%) and numerical variables are described as mean (± SD) or median (IQR).Abbreviations: HIV-1, human immunodeficiency type-1; cART, combination antiretroviral therapy; SD, standard deviation; IQR, interquartile range.ψP values are given for test of general differences across the two subgroups using an independent t-test€ for normally-distributed categorical outcomes and Mann-Whitney U testΔ for non-normally-distributed continuous outcomes (P values of < .05 are considered significant).a data includes Malay, Indian and other minor ethnicities.b data includes men-who-have-sex-with-men (MSM), unsafe injecting drug use and blood transfusion.c the interval between the day of cART initiation and the last clinical consultation available.d includes co-infections with tuberculosis, hepatitis B or C virus (HBV/HCV).Basic demographic and baseline clinical characteristics of 103 HIV-1 patients initiating cART in Kuala Lumpur, Malaysia.

  19. f

    Additional file 3: of Single-virion sequencing of lamivudine-treated HBV...

    • figshare.com
    • springernature.figshare.com
    rtf
    Updated Jun 1, 2023
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    Yuan Zhu; Pauline Aw; Paola de Sessions; Shuzhen Hong; Lee See; Lewis Hong; Andreas Wilm; Chen Li; Stephane Hue; Seng Lim; Niranjan Nagarajan; William Burkholder; Martin Hibberd (2023). Additional file 3: of Single-virion sequencing of lamivudine-treated HBV populations reveal population evolution dynamics and demographic history [Dataset]. http://doi.org/10.6084/m9.figshare.c.3915910_D3.v1
    Explore at:
    rtfAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    figshare
    Authors
    Yuan Zhu; Pauline Aw; Paola de Sessions; Shuzhen Hong; Lee See; Lewis Hong; Andreas Wilm; Chen Li; Stephane Hue; Seng Lim; Niranjan Nagarajan; William Burkholder; Martin Hibberd
    License

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

    Description

    Supplementary_FastTrees.txt. Newick format phylogenetic trees. FastTree output in Newick format for all 4 patients (TXT 16 kb)

  20. f

    Data from: Mutations in DZIP1 and XYLT1 are associated with nonsyndromic...

    • tandf.figshare.com
    docx
    Updated May 31, 2023
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    Jong-Keuk Lee; Hyuna Kim; Young-Mi Park; Dae Hee Kim; Hyun Taek Lim (2023). Mutations in DZIP1 and XYLT1 are associated with nonsyndromic early onset high myopia in the Korean population [Dataset]. http://doi.org/10.6084/m9.figshare.4549531.v1
    Explore at:
    docxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    Jong-Keuk Lee; Hyuna Kim; Young-Mi Park; Dae Hee Kim; Hyun Taek Lim
    License

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

    Description

    Mutations in DZIP1 and XYLT1 are associated with nonsyndromic early onset high myopia in the Korean population

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(2011). D.P.F.C.-154-155 Lim Santang (36) Census 2011 [Dataset]. https://gramvikas.nskmultiservices.in/india/himachal-pradesh/kinnaur/sangla/dpfc-154-155-lim-santang-36

D.P.F.C.-154-155 Lim Santang (36) Census 2011

Explore at:
Dataset updated
Mar 1, 2011
License

https://data.gov.in/sites/default/files/Gazette_Notification_OGDL.pdfhttps://data.gov.in/sites/default/files/Gazette_Notification_OGDL.pdf

Time period covered
2011
Description

Comprehensive population and demographic data for D.P.F.C.-154-155 Lim Santang (36) Village

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