Metadata from the Large-Scale Cross-Cultural Data Collection: Happiness Meanders ...
I am sharing here the metadata from the Happiness Meanders project. TITLE OF THE DATASET: Happiness Meanders dataset TYPE OF THE DATA: individual level data collected across 50 countries. TIME OF DATA COLLECTION: 2017-2019 AREA OF DATA COLLECTION: 50 countries (Argentina, Australia, Austria, Brazil,...
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| Format: | Article in Journal/Newspaper |
| Language: | English |
| Published: |
OSF
2023
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.17605/osf.io/e3ykm https://osf.io/e3ykm/ |
| id |
ftdatacite:10.17605/osf.io/e3ykm |
|---|---|
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openpolar |
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ftdatacite:10.17605/osf.io/e3ykm 2023-12-03T10:24:44+01:00 Metadata from the Large-Scale Cross-Cultural Data Collection: Happiness Meanders ... Kuba Krys 2023 https://dx.doi.org/10.17605/osf.io/e3ykm https://osf.io/e3ykm/ en eng OSF Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Other article CreativeWork Project 2023 ftdatacite https://doi.org/10.17605/osf.io/e3ykm 2023-11-03T10:41:39Z I am sharing here the metadata from the Happiness Meanders project. TITLE OF THE DATASET: Happiness Meanders dataset TYPE OF THE DATA: individual level data collected across 50 countries. TIME OF DATA COLLECTION: 2017-2019 AREA OF DATA COLLECTION: 50 countries (Argentina, Australia, Austria, Brazil, Bulgaria, Buthan, Canada, Chile, China, Colombia, Croatia, Czech Republic, Estonia, France, Georgia, Germany, Greece, Guatemala, Hongkong, Hungary, Iceland, Indonesia, Iran, Ireland, Italy, Japan, Korea, Lithuania, Luxembourg, Malaysia, Mexico, Netherlands, Nigeria, Norway, Pakistan, Poland, Portugal, Romania, Russia, Salvador, Serbia, Slovakia, Switzerland, Taiwan, Turkey, UK, Ukraine, USA) LANGUAGE: English ... Article in Journal/Newspaper Iceland DataCite Metadata Store (German National Library of Science and Technology) Argentina Canada Norway |
| institution |
Open Polar |
| collection |
DataCite Metadata Store (German National Library of Science and Technology) |
| op_collection_id |
ftdatacite |
| language |
English |
| description |
I am sharing here the metadata from the Happiness Meanders project. TITLE OF THE DATASET: Happiness Meanders dataset TYPE OF THE DATA: individual level data collected across 50 countries. TIME OF DATA COLLECTION: 2017-2019 AREA OF DATA COLLECTION: 50 countries (Argentina, Australia, Austria, Brazil, Bulgaria, Buthan, Canada, Chile, China, Colombia, Croatia, Czech Republic, Estonia, France, Georgia, Germany, Greece, Guatemala, Hongkong, Hungary, Iceland, Indonesia, Iran, Ireland, Italy, Japan, Korea, Lithuania, Luxembourg, Malaysia, Mexico, Netherlands, Nigeria, Norway, Pakistan, Poland, Portugal, Romania, Russia, Salvador, Serbia, Slovakia, Switzerland, Taiwan, Turkey, UK, Ukraine, USA) LANGUAGE: English ... |
| format |
Article in Journal/Newspaper |
| author |
Kuba Krys |
| spellingShingle |
Kuba Krys Metadata from the Large-Scale Cross-Cultural Data Collection: Happiness Meanders ... |
| author_facet |
Kuba Krys |
| author_sort |
Kuba Krys |
| title |
Metadata from the Large-Scale Cross-Cultural Data Collection: Happiness Meanders ... |
| title_short |
Metadata from the Large-Scale Cross-Cultural Data Collection: Happiness Meanders ... |
| title_full |
Metadata from the Large-Scale Cross-Cultural Data Collection: Happiness Meanders ... |
| title_fullStr |
Metadata from the Large-Scale Cross-Cultural Data Collection: Happiness Meanders ... |
| title_full_unstemmed |
Metadata from the Large-Scale Cross-Cultural Data Collection: Happiness Meanders ... |
| title_sort |
metadata from the large-scale cross-cultural data collection: happiness meanders ... |
| publisher |
OSF |
| publishDate |
2023 |
| url |
https://dx.doi.org/10.17605/osf.io/e3ykm https://osf.io/e3ykm/ |
| geographic |
Argentina Canada Norway |
| geographic_facet |
Argentina Canada Norway |
| genre |
Iceland |
| genre_facet |
Iceland |
| op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
| op_doi |
https://doi.org/10.17605/osf.io/e3ykm |
| _version_ |
1784273261245235200 |