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1Academic Journal
المؤلفون: Wright, Pamela J., PhD, MS, MEd, RN, CEN, Raynor, Phyllis A, Bowers, Dana, Combs, Elizabeth M, Corbett, Cynthia F., PhD, RN, FAAN, Hardy, Hannah, Patel, Khushi S
المصدر: Publications
مصطلحات موضوعية: Digital < general, chronic < disease, digital health < general, social connectedness, systematic reviews < studies, technology < general, Nursing
وصف الملف: application/pdf
Relation: https://scholarcommons.sc.edu/acorn_pub/48; https://scholarcommons.sc.edu/context/acorn_pub/article/1047/viewcontent/wright_et_al_2023_leveraging_digital_technology_for_social_connectedness_among_adults_with_chronic_conditions_a.pdf
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2Academic Journal
المؤلفون: Bendtsen, Marcus, Garnett, Claire, Toner, Paul, Shorter, Gillian
المصدر: Digital Health (2023) (In press).
مصطلحات موضوعية: Alcohol < lifestyle, trials < studies, public health < disease, epidemiology < medicine, digital < general
وصف الملف: text
Relation: https://discovery.ucl.ac.uk/id/eprint/10163714/8/Garnett_bendtsen-et-al-2023-the-effect-of-question-order-on-outcomes-in-the-orbital-core-outcome-set-for-alcohol-brief.pdf; https://discovery.ucl.ac.uk/id/eprint/10163714/
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3Academic Journal
المؤلفون: Jana Dale
المصدر: Frontiers in Public Health, Vol 4 (2015)
مصطلحات موضوعية: Patient Access to Records, GP workload, patient online, digital general practice, patient in control, online service in general practice, Public aspects of medicine, RA1-1270
وصف الملف: electronic resource
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4
المؤلفون: Nishimoto Junior, Noboro
المساهمون: Rovai, Armando Luiz, Ramunno, Pedro Alves Lavacchini, Rodrigues, Luiz Gustavo Friggi
مصطلحات موضوعية: assembleia de sócio digital, regulamentação, votação, blockchain, digital general meeting, regimentation, blockchain voting, Covid 19
وصف الملف: Texto; application/pdf
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5
المؤلفون: Dale Jana, Prince Clive
المصدر: Frontiers in Public Health, Vol 4 (2015)
مصطلحات موضوعية: patient online, Patient Access to Records, lcsh:Public aspects of medicine, GP workload, Public Health, Environmental and Occupational Health, digital general practice, lcsh:RA1-1270, sense organs, online service in general practice, patient in control
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6
جغرافية الموضوع: data on geology, topography, vegetation, and climate are assembled, together with Land Remote Sensing Satellite (LANDSAT) images. Soils of like areas are studied, 92.978912 W -86.659923 E 47.135876 N 42.449660 S
Time: This data set is a digital general soil association map developed by the National Cooperative Soil Survey. It consists of a broad based inventory of soils and nonsoil areas that occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. The soil maps for STATSGO are compiled by generalizing more detailed soil survey maps. Where more detailed soil survey maps are not available, data on geology, topography, vegetation, and climate are assembled, together with Land Remote Sensing Satellite (LANDSAT) images. Soils of like areas are studied, and the probable classification and extent of the soils are determined. Map unit composition for a STATSGO map is determined by transecting or sampling areas on the more detailed maps and expanding the data statistically to characterize the whole map unit. This data set consists of georeferenced digital map data and computerized attribute data. The map data are collected in 1- by 2-degree topographic quadrangle units and merged and distributed as statewide coverages. The soil map units are linked to attributes in the Map Unit Interpretations Record relational data base which gives the proportionate extent of the component soils and their properties.
Relation: http://hdl.handle.net/10255/dryad.15897
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7
جغرافية الموضوع: data on geology, topography, vegetation, and climate are assembled, together with Land Remote Sensing Satellite (LANDSAT) images. Soils of like areas are studied, 92.978912 W -86.659923 E 47.135876 N 42.449660 S
Time: This data set is a digital general soil association map developed by the National Cooperative Soil Survey. It consists of a broad based inventory of soils and nonsoil areas that occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. The soil maps for STATSGO are compiled by generalizing more detailed soil survey maps. Where more detailed soil survey maps are not available, data on geology, topography, vegetation, and climate are assembled, together with Land Remote Sensing Satellite (LANDSAT) images. Soils of like areas are studied, and the probable classification and extent of the soils are determined. Map unit composition for a STATSGO map is determined by transecting or sampling areas on the more detailed maps and expanding the data statistically to characterize the whole map unit. This data set consists of georeferenced digital map data and computerized attribute data. The map data are collected in 1- by 2-degree topographic quadrangle units and merged and distributed as statewide coverages. The soil map units are linked to attributes in the Map Unit Interpretations Record relational data base which gives the proportionate extent of the component soils and their properties.
Relation: http://metacat.lternet.edu/knb/metacat/knb-lter-ntl.500033.3/xml; knb-lter-ntl.500033.3; http://hdl.handle.net/10255/dryad.15897
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