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2,124

WorldAsia

Qatar

5 provinces · 23 cities · 10 other

Standard codes
ISO α2QA
ISO α3QAT
ISO num634
UN M.49634
GeoNames289688
2,781,677population25.5000, 51.2500Asia/Qatar(GMT+3)Independent political entity

Ar Rayyan, Ash Shamal, Az Za'ayin, Ad Dawhah, Madinat ach Shamal, Al Wakrah, Al Daayen, Al Khor, Baladiyat ar Rayyan

Description

Alternative names

Afrikaans
Katar, Qatar
Akan
Kata
Albanian
Katar, Katari
Amharic
ኳታር

Subregions

Ar Rayyan

Ar Rayyan

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Ash Shamal

Ash Shamal

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Az Za'ayin

Az Za'ayin

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Ar Rayyan

Ar Rayyan

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Ash Shamal

Ash Shamal

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Az Za'ayin

Az Za'ayin

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Ad Dawhah

Ad Dawhah

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Madinat ach Shamal

Madinat ach Shamal

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Al Wakrah

Al Wakrah

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Al Daayen

Al Daayen

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Al Khor

Al Khor

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Baladiyat ar Rayyan

Baladiyat ar Rayyan

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Umm Salal

Umm Salal

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Umm Lakhbā

Umm Lakhbā

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Farīj Kulayb

Farīj Kulayb

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Mu‘aydhir Rawḑat Rāshid

Mu‘aydhir Rawḑat Rāshid

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Madīnat Khalīfah

Madīnat Khalīfah

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Al Hilāl ash Sharqīyah

Al Hilāl ash Sharqīyah

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Ash Shīḩānīyah

Ash Shīḩānīyah

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Ath Thumāmah Khamsūn

Ath Thumāmah Khamsūn

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0Individuals
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Al ‘Unayzah

Al ‘Unayzah

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Nu‘ayjah

Nu‘ayjah

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Al Rayyan

Al Rayyan

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Al Hilāl al Gharbīyah

Al Hilāl al Gharbīyah

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Al Ghānim

Al Ghānim

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As Sulţah al Jadīdah

As Sulţah al Jadīdah

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Lusail

Lusail

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Baladiyat ad Dawhah

Baladiyat ad Dawhah

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Madinat ash Shamal

Madinat ash Shamal

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Al Daayen

Al Daayen

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Al-Shahaniya

Al-Shahaniya

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Ath Thumāmah Sab‘ah wa Arba‘ūn

Ath Thumāmah Sab‘ah wa Arba‘ūn

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Ath Thumāmah Sittah wa Arba‘ūn

Ath Thumāmah Sittah wa Arba‘ūn

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Farīj al Amīr

Farīj al Amīr

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Al Manşūrah

Al Manşūrah

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Umm Ghuwaylīnah

Umm Ghuwaylīnah

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Az̧ Z̧a‘āyin

Az̧ Z̧a‘āyin

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0Individuals
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Doha

Doha

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An Najmah

An Najmah

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As Sadd

As Sadd

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Al Maţār al ‘Atīq

Al Maţār al ‘Atīq

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Data in VoxDash
    voxdash dataset logo
    Data project
    Data owner:

    OCED

    Geographies: Ecuador, Guatemala, Honduras·Topic: Students
    PISA for Development (Student questionnaire data )

    The PISA for Development programme aims to encourage and facilitate PISA participation by interested and motivated low- and middle-income countries. From this page you can download the PISA for Development dataset with the full set of responses from: In-school assessment: individual students, school principals and teachers Out-of-school assessment: individual respondents, parents/guardians of respondents and interviewer household observations These files will be of use to statisticians and professional researchers who would like to undertake their own analysis of the PISA for Development data. The files available on this page include questionnaires, codebooks, data files in SAS™ and SPSS™ formats, database compendia and tables including system-level data and descriptive analyses that were created to support the reporting of PISA for Development results by participating countries. The main data files for each assessment relate to: In-school assessment: student questionnaire (which also includes estimates of student performance), school questionnaire, teacher questionnaire and cognitive items Out-of-school assessment: respondent questionnaires (including youth, parent/guardian and household observation questionnaires, as well as estimates of respondent performance), cognitive items and questionnaire timing These files include data for participating countries: In-school assessment: Cambodia, Ecuador, Guatemala, Honduras, Paraguay, Senegal and Zambia Out-of-school assessment: Guatemala, Honduras, Panama, Paraguay and Senegal

    voxdash dataset logo
    Data project
    Data owner:

    OCED

    Geographies: Ecuador, Guatemala, Honduras·Topic: Students
    PISA for Development (Teacher questionnaire data )

    The PISA for Development programme aims to encourage and facilitate PISA participation by interested and motivated low- and middle-income countries. From this page you can download the PISA for Development dataset with the full set of responses from: In-school assessment: individual students, school principals and teachers Out-of-school assessment: individual respondents, parents/guardians of respondents and interviewer household observations These files will be of use to statisticians and professional researchers who would like to undertake their own analysis of the PISA for Development data. The files available on this page include questionnaires, codebooks, data files in SAS™ and SPSS™ formats, database compendia and tables including system-level data and descriptive analyses that were created to support the reporting of PISA for Development results by participating countries. The main data files for each assessment relate to: In-school assessment: student questionnaire (which also includes estimates of student performance), school questionnaire, teacher questionnaire and cognitive items Out-of-school assessment: respondent questionnaires (including youth, parent/guardian and household observation questionnaires, as well as estimates of respondent performance), cognitive items and questionnaire timing These files include data for participating countries: In-school assessment: Cambodia, Ecuador, Guatemala, Honduras, Paraguay, Senegal and Zambia Out-of-school assessment: Guatemala, Honduras, Panama, Paraguay and Senegal

    voxdash dataset logo
    Data project
    Data owner:

    OCED

    Geographies: Ecuador, Guatemala, Honduras·Topic: Students
    PISA for Development (School questionnaire data )

    The PISA for Development programme aims to encourage and facilitate PISA participation by interested and motivated low- and middle-income countries. From this page you can download the PISA for Development dataset with the full set of responses from: In-school assessment: individual students, school principals and teachers Out-of-school assessment: individual respondents, parents/guardians of respondents and interviewer household observations These files will be of use to statisticians and professional researchers who would like to undertake their own analysis of the PISA for Development data. The files available on this page include questionnaires, codebooks, data files in SAS™ and SPSS™ formats, database compendia and tables including system-level data and descriptive analyses that were created to support the reporting of PISA for Development results by participating countries. The main data files for each assessment relate to: In-school assessment: student questionnaire (which also includes estimates of student performance), school questionnaire, teacher questionnaire and cognitive items Out-of-school assessment: respondent questionnaires (including youth, parent/guardian and household observation questionnaires, as well as estimates of respondent performance), cognitive items and questionnaire timing These files include data for participating countries: In-school assessment: Cambodia, Ecuador, Guatemala, Honduras, Paraguay, Senegal and Zambia Out-of-school assessment: Guatemala, Honduras, Panama, Paraguay and Senegal

    voxdash dataset logo
    Data project
    Data owner:

    Environics Research

    Geographies: Argentina, Brazil, Canada·Topic: Data license - Creative Commons Attribution-Noncommercial 4.0 International (CC BY-NC)
    Environics Corporate Social Responsibility Monitor, 2002

    Environics Corporate Social Responsibility Monitor 2002 is a survey of global public opinion on the role of companies in society. This survey is based on the the results of face-to-face or telephone surveys with representative samples of about 1,000 citizens in each of 25 countries on six continents at varying stages of development. Research was carried out by respected social research institutes in each country between October and December 2001.

    voxdash dataset logo
    Data project
    Data owner:

    Environics Research

    Geographies: Argentina, Brazil, Canada·Topic: Social Sciences
    Environics Millennium Poll on Corporate Social Responsibility, 1999

    The Millennium Poll on Corporate Social Responsibility 1999 is a survey of global public opinion on the role of companies in society. This survey is based on the the results of face-to-face or telephone surveys with representative samples of about 1,000 citizens in each of 23 countries on six continents at varying stages of development.

    voxdash dataset logo
    Data project
    Data owner:

    Environics Research

    Geographies: Argentina, Brazil, Canada·Topic: Social Sciences
    Environics Global Issues Monitor, 2002

    Environics Corporate Social Responsibility Monitor 2002 is a survey of global public opinion on the role of companies in society. This survey is based on the the results of face-to-face or telephone surveys with representative samples of about 1,000 citizens in each of 25 countries on six continents at varying stages of development. The survey was fielded after September 11 in each country. Media focus on the Enron Corp. did not begin until the survey was completed in the USA.

    voxdash dataset logo
    Data project
    Data owner:

    OCED

    Geographies: Ecuador, Guatemala, Honduras·Topic: Students
    PISA for Development (Cognitive item data)

    The PISA (Programme for International Student Assessment) for Development programme aims to encourage and facilitate PISA participation by interested and motivated low- and middle-income countries. From this page you can download the PISA for Development dataset with the full set of responses from: In-school assessment: individual students, school principals and teachers Out-of-school assessment: individual respondents, parents/guardians of respondents and interviewer household observations These files will be of use to statisticians and professional researchers who would like to undertake their own analysis of the PISA for Development data. The files available on this page include questionnaires, codebooks, data files in SAS™ and SPSS™ formats, database compendia and tables including system-level data and descriptive analyses that were created to support the reporting of PISA for Development results by participating countries. The main data files for each assessment relate to: In-school assessment: student questionnaire (which also includes estimates of student performance), school questionnaire, teacher questionnaire and cognitive items Out-of-school assessment: respondent questionnaires (including youth, parent/guardian and household observation questionnaires, as well as estimates of respondent performance), cognitive items and questionnaire timing These files include data for participating countries: In-school assessment: Cambodia, Ecuador, Guatemala, Honduras, Paraguay, Senegal and Zambia Out-of-school assessment: Guatemala, Honduras, Panama, Paraguay and Senegal

    voxdash dataset logo
    Data project
    Data owner:

    Carnegie Corporation of New York

    Geographies: Palestine, TX, Bahrain, Egypt·Topic: Governance
    Carnegie Middle East Governance and Islam Dataset, 1988-2010

    The Carnegie Middle East Governance and Islam Dataset was created by Mark Tessler at the University of Michigan. The data set includes both individual-level and country-level variables. Data on individual-level variables are drawn from 35 surveys carried out in 12 Arab countries, Turkey and Iran. Most of the surveys were carried out either as the first wave of the Arab Barometer, the third, fourth and fifth waves of the World Values Survey, or a project on attitudes related to governance carried out by Mark Tessler with funding from the National Science Foundation.

    voxdash dataset logo
    Data project
    Data owner:

    University of Tennessee, Knoxville

    Geographies: United States·Topic: Institutional capabilities - Data
    Changes in data sharing and data reuse practices and perceptions among scientists worldwide

    The incorporation of data sharing into the research lifecycle is an important part of modern scholarly debate. In this study, the DataONE Usability and Assessment working group addresses two primary goals: To examine the current state of data sharing and reuse perceptions and practices among research scientists as they compare to the 2009/2010 baseline study, and to examine differences in practices and perceptions across age groups, geographic regions, and subject disciplines. We distributed surveys to a multinational sample of scientific researchers at two different time periods (October 2009 to July 2010 and October 2013 to March 2014) to observe current states of data sharing and to see what, if any, changes have occurred in the past 3–4 years. We also looked at differences across age, geographic, and discipline-based groups as they currently exist in the 2013/2014 survey. Results point to increased acceptance of and willingness to engage in data sharing, as well as an increase in actual data sharing behaviors. However, there is also increased perceived risk associated with data sharing, and specific barriers to data sharing persist. There are also differences across age groups, with younger respondents feeling more favorably toward data sharing and reuse, yet making less of their data available than older respondents. Geographic differences exist as well, which can in part be understood in terms of collectivist and individualist cultural differences. An examination of subject disciplines shows that the constraints and enablers of data sharing and reuse manifest differently across disciplines. Implications of these findings include the continued need to build infrastructure that promotes data sharing while recognizing the needs of different research communities. Moving into the future, organizations such as DataONE will continue to assess, monitor, educate, and provide the infrastructure necessary to support such complex grand science challenges.

    voxdash dataset logo
    Data project
    Data owner:

    Data Statistic (Mock)

    Geographies: Canada·Topic: Animal Research Data
    Stratos Geospatial Insights Lab (Mock)

    this is a test. Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

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