cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7524489
title: MobMeter: a global human mobility data set based on smartphone trajectories

description: The data set provides estimates of country-level daily mobility metrics (uncertainty included) for 17 countries from March 11, 2020 to present. Estimates are based on more than 3.8 million smartphone trajectories. Metrics: Estimated daily average travelled distance by people. Estimated percentage of people who did not move during the 24 hours of the day. Countries: Argentina (ARG), Chile (CHL), Colombia (COL), Costa Rica (CRI), Ecuador (ECU), Greece (GRC), Guatemala (GTM), Italy (ITA), Mexico (MEX), Nicaragua (NIC), Panama (PAN), Peru (PER), Philippines (PHL), Slovenia (SVN), Turkey (TUR), United States (USA) and Venezuela (VEN). Covered period: from March 11, 2020 to present. Temporal resolution: daily. Temporal smoothing: No smoothing. 7-day moving average. 14-day moving average. 21-day moving average. 28-day moving average. Uncertainty: 95% bootstrap confidence interval. <strong>Data ownership</strong> Anonymized data on smartphone trajectories are collected, owned and managed by Futura Innovation SRL. Smartphone trajectories are stored and analyzed on servers owned by Futura Innovation SRL and not shared with third parties, including the author of this repository and his organization (University of Bergamo). <strong>Contribution</strong> Ilaria Cremonesi of Futura Innovation SRL is the data owner and data manager. Francesco Finazzi of University of Bergamo developed the statistical methodology for the data analysis and the algorithms implemented on Futura Innovation SRL servers.
description: {"references": ["Finazzi, F. (2022) Replacing discontinued Big Tech mobility reports: a penetration-based analysis, arXiv:2210.09714"]}
DOI: 10.5281/zenodo.7635488
title: MobMeter: a global human mobility data set based on smartphone trajectories

description: <strong>This data set is supplement to this Scientific Reports article.</strong> The data set provides estimates of country-level daily mobility metrics (uncertainty included) for 17 countries from March 11, 2020 to present. Estimates are based on more than 3.8 million smartphone trajectories. Metrics: Estimated daily average travelled distance by people. Estimated percentage of people who did not move during the 24 hours of the day. Countries: Argentina (ARG), Chile (CHL), Colombia (COL), Costa Rica (CRI), Ecuador (ECU), Greece (GRC), Guatemala (GTM), Italy (ITA), Mexico (MEX), Nicaragua (NIC), Panama (PAN), Peru (PER), Philippines (PHL), Slovenia (SVN), Turkey (TUR), United States (USA) and Venezuela (VEN). Covered period: from March 11, 2020 to present. Temporal resolution: daily. Temporal smoothing: No smoothing. 7-day moving average. 14-day moving average. 21-day moving average. 28-day moving average. Uncertainty: 95% bootstrap confidence interval. <strong>Data ownership</strong> Anonymized data on smartphone trajectories are collected, owned and managed by Futura Innovation SRL. Smartphone trajectories are stored and analyzed on servers owned by Futura Innovation SRL and not shared with third parties, including the author of this repository and his organization (University of Bergamo). <strong>Contribution</strong> Ilaria Cremonesi of Futura Innovation SRL is the data owner and data manager. Francesco Finazzi of University of Bergamo developed the statistical methodology for the data analysis and the algorithms implemented on Futura Innovation SRL servers. <strong>Repository update</strong> CSV files of this repository are regularly produced by Futura Innovation SRL and published by the repository's author after validation.
description: {"references": ["Finazzi, F. (2022) Replacing discontinued Big Tech mobility reports: a penetration-based analysis, arXiv:2210.09714"]}
DOI: 10.5281/zenodo.7852269
title: MobMeter: a global human mobility data set based on smartphone trajectories

description: <strong>This data set is supplement to this Scientific Reports article.</strong> The data set provides estimates of country-level daily mobility metrics (uncertainty included) for 17 countries from March 11, 2020 to present. Estimates are based on more than 3.8 million smartphone trajectories. Metrics: Estimated daily average travelled distance by people. Estimated percentage of people who did not move during the 24 hours of the day. Countries: Argentina (ARG), Chile (CHL), Colombia (COL), Costa Rica (CRI), Ecuador (ECU), Greece (GRC), Guatemala (GTM), Italy (ITA), Mexico (MEX), Nicaragua (NIC), Panama (PAN), Peru (PER), Philippines (PHL), Slovenia (SVN), Turkey (TUR), United States (USA) and Venezuela (VEN). Covered period: from March 11, 2020 to present. Temporal resolution: daily. Temporal smoothing: No smoothing. 7-day moving average. 14-day moving average. 21-day moving average. 28-day moving average. Uncertainty: 95% bootstrap confidence interval. <strong>Data ownership</strong> Anonymized data on smartphone trajectories are collected, owned and managed by Futura Innovation SRL. Smartphone trajectories are stored and analyzed on servers owned by Futura Innovation SRL and not shared with third parties, including the author of this repository and his organization (University of Bergamo). <strong>Contribution</strong> Ilaria Cremonesi of Futura Innovation SRL is the data owner and data manager. Francesco Finazzi of University of Bergamo developed the statistical methodology for the data analysis and the algorithms implemented on Futura Innovation SRL servers. <strong>Repository update</strong> CSV files of this repository are regularly produced by Futura Innovation SRL and published by the repository's author after validation.
description: {"references": ["Finazzi, F. (2022) Replacing discontinued Big Tech mobility reports: a penetration-based analysis, arXiv:2210.09714"]}
DOI: 10.5281/zenodo.7296279
title: MobMeter: a global human mobility data set based on smartphone trajectories

description: The data set provides estimates of country-level daily mobility metrics (uncertainty included) for 17 countries from March 11, 2020 to present. Estimates are based on more than 3.8 million smartphone trajectories. Metrics: Estimated daily average travelled distance by people. Estimated percentage of people who did not move during the 24 hours of the day. Countries: Argentina (ARG), Chile (CHL), Colombia (COL), Costa Rica (CRI), Ecuador (ECU), Greece (GRC), Guatemala (GTM), Italy (ITA), Mexico (MEX), Nicaragua (NIC), Panama (PAN), Peru (PER), Philippines (PHL), Slovenia (SVN), Turkey (TUR), United States (USA) and Venezuela (VEN). Covered period: from March 11, 2020 to present. Temporal resolution: daily. Temporal smoothing: No smoothing. 7-day moving average. 14-day moving average. 21-day moving average. 28-day moving average. Uncertainty: 95% bootstrap confidence interval. <strong>Data ownership</strong> Anonymized data on smartphone trajectories are collected, owned and managed by Futura Innovation SRL. Smartphone trajectories are stored and analyzed on servers owned by Futura Innovation SRL and not shared with third parties, including the author of this repository and his organization (University of Bergamo). <strong>Contribution</strong> Ilaria Cremonesi of Futura Innovation SRL is the data owner and data manager. Francesco Finazzi of University of Bergamo developed the statistical methodology for the data analysis and the algorithms implemented on Futura Innovation SRL servers.
description: {"references": ["Finazzi, F. (2022) Replacing discontinued Big Tech mobility reports: a penetration-based analysis, arXiv:2210.09714"]}
DOI: 10.5281/zenodo.7322963
title: MobMeter: a global human mobility data set based on smartphone trajectories

description: The data set provides estimates of country-level daily mobility metrics (uncertainty included) for 17 countries from March 11, 2020 to present. Estimates are based on more than 3.8 million smartphone trajectories. Metrics: Estimated daily average travelled distance by people. Estimated percentage of people who did not move during the 24 hours of the day. Countries: Argentina (ARG), Chile (CHL), Colombia (COL), Costa Rica (CRI), Ecuador (ECU), Greece (GRC), Guatemala (GTM), Italy (ITA), Mexico (MEX), Nicaragua (NIC), Panama (PAN), Peru (PER), Philippines (PHL), Slovenia (SVN), Turkey (TUR), United States (USA) and Venezuela (VEN). Covered period: from March 11, 2020 to present. Temporal resolution: daily. Temporal smoothing: No smoothing. 7-day moving average. 14-day moving average. 21-day moving average. 28-day moving average. Uncertainty: 95% bootstrap confidence interval. <strong>Data ownership</strong> Anonymized data on smartphone trajectories are collected, owned and managed by Futura Innovation SRL. Smartphone trajectories are stored and analyzed on servers owned by Futura Innovation SRL and not shared with third parties, including the author of this repository and his organization (University of Bergamo). <strong>Contribution</strong> Ilaria Cremonesi of Futura Innovation SRL is the data owner and data manager. Francesco Finazzi of University of Bergamo developed the statistical methodology for the data analysis and the algorithms implemented on Futura Innovation SRL servers.
description: {"references": ["Finazzi, F. (2022) Replacing discontinued Big Tech mobility reports: a penetration-based analysis, arXiv:2210.09714"]}
DOI: 10.5281/zenodo.7347412
title: MobMeter: a global human mobility data set based on smartphone trajectories

description: The data set provides estimates of country-level daily mobility metrics (uncertainty included) for 17 countries from March 11, 2020 to present. Estimates are based on more than 3.8 million smartphone trajectories. Metrics: Estimated daily average travelled distance by people. Estimated percentage of people who did not move during the 24 hours of the day. Countries: Argentina (ARG), Chile (CHL), Colombia (COL), Costa Rica (CRI), Ecuador (ECU), Greece (GRC), Guatemala (GTM), Italy (ITA), Mexico (MEX), Nicaragua (NIC), Panama (PAN), Peru (PER), Philippines (PHL), Slovenia (SVN), Turkey (TUR), United States (USA) and Venezuela (VEN). Covered period: from March 11, 2020 to present. Temporal resolution: daily. Temporal smoothing: No smoothing. 7-day moving average. 14-day moving average. 21-day moving average. 28-day moving average. Uncertainty: 95% bootstrap confidence interval. <strong>Data ownership</strong> Anonymized data on smartphone trajectories are collected, owned and managed by Futura Innovation SRL. Smartphone trajectories are stored and analyzed on servers owned by Futura Innovation SRL and not shared with third parties, including the author of this repository and his organization (University of Bergamo). <strong>Contribution</strong> Ilaria Cremonesi of Futura Innovation SRL is the data owner and data manager. Francesco Finazzi of University of Bergamo developed the statistical methodology for the data analysis and the algorithms implemented on Futura Innovation SRL servers.
description: {"references": ["Finazzi, F. (2022) Replacing discontinued Big Tech mobility reports: a penetration-based analysis, arXiv:2210.09714"]}
DOI: 10.5281/zenodo.7545686
title: MobMeter: a global human mobility data set based on smartphone trajectories

description: <strong>This data set is supplement to this Scientific Reports article.</strong> The data set provides estimates of country-level daily mobility metrics (uncertainty included) for 17 countries from March 11, 2020 to present. Estimates are based on more than 3.8 million smartphone trajectories. Metrics: Estimated daily average travelled distance by people. Estimated percentage of people who did not move during the 24 hours of the day. Countries: Argentina (ARG), Chile (CHL), Colombia (COL), Costa Rica (CRI), Ecuador (ECU), Greece (GRC), Guatemala (GTM), Italy (ITA), Mexico (MEX), Nicaragua (NIC), Panama (PAN), Peru (PER), Philippines (PHL), Slovenia (SVN), Turkey (TUR), United States (USA) and Venezuela (VEN). Covered period: from March 11, 2020 to present. Temporal resolution: daily. Temporal smoothing: No smoothing. 7-day moving average. 14-day moving average. 21-day moving average. 28-day moving average. Uncertainty: 95% bootstrap confidence interval. <strong>Data ownership</strong> Anonymized data on smartphone trajectories are collected, owned and managed by Futura Innovation SRL. Smartphone trajectories are stored and analyzed on servers owned by Futura Innovation SRL and not shared with third parties, including the author of this repository and his organization (University of Bergamo). <strong>Contribution</strong> Ilaria Cremonesi of Futura Innovation SRL is the data owner and data manager. Francesco Finazzi of University of Bergamo developed the statistical methodology for the data analysis and the algorithms implemented on Futura Innovation SRL servers. <strong>Repository update</strong> CSV files of this repository are regularly produced by Futura Innovation SRL and published by the repository's author after validation.
description: {"references": ["Finazzi, F. (2022) Replacing discontinued Big Tech mobility reports: a penetration-based analysis, arXiv:2210.09714"]}
DOI: 10.5281/zenodo.7588678
title: MobMeter: a global human mobility data set based on smartphone trajectories

description: <strong>This data set is supplement to this Scientific Reports article.</strong> The data set provides estimates of country-level daily mobility metrics (uncertainty included) for 17 countries from March 11, 2020 to present. Estimates are based on more than 3.8 million smartphone trajectories. Metrics: Estimated daily average travelled distance by people. Estimated percentage of people who did not move during the 24 hours of the day. Countries: Argentina (ARG), Chile (CHL), Colombia (COL), Costa Rica (CRI), Ecuador (ECU), Greece (GRC), Guatemala (GTM), Italy (ITA), Mexico (MEX), Nicaragua (NIC), Panama (PAN), Peru (PER), Philippines (PHL), Slovenia (SVN), Turkey (TUR), United States (USA) and Venezuela (VEN). Covered period: from March 11, 2020 to present. Temporal resolution: daily. Temporal smoothing: No smoothing. 7-day moving average. 14-day moving average. 21-day moving average. 28-day moving average. Uncertainty: 95% bootstrap confidence interval. <strong>Data ownership</strong> Anonymized data on smartphone trajectories are collected, owned and managed by Futura Innovation SRL. Smartphone trajectories are stored and analyzed on servers owned by Futura Innovation SRL and not shared with third parties, including the author of this repository and his organization (University of Bergamo). <strong>Contribution</strong> Ilaria Cremonesi of Futura Innovation SRL is the data owner and data manager. Francesco Finazzi of University of Bergamo developed the statistical methodology for the data analysis and the algorithms implemented on Futura Innovation SRL servers. <strong>Repository update</strong> CSV files of this repository are regularly produced by Futura Innovation SRL and published by the repository's author after validation.
description: {"references": ["Finazzi, F. (2022) Replacing discontinued Big Tech mobility reports: a penetration-based analysis, arXiv:2210.09714"]}
DOI: 10.5281/zenodo.13683259
title: MobMeter: a global human mobility data set based on smartphone trajectories

description: This data set is supplement to this Scientific Reports article.


The data set provides estimates of country-level daily mobility metrics (uncertainty included) for 17 countries from March 11, 2020 to present. Estimates are based on more than 3.8 million smartphone trajectories. 



	
Metrics:
	

		
Estimated daily average travelled distance by people.
		
Estimated percentage of people who did not move during the 24 hours of the day.
	
	
	
Countries: Argentina (ARG), Chile (CHL), Colombia (COL), Costa Rica (CRI), Ecuador (ECU), Greece (GRC), Guatemala (GTM), Italy (ITA), Mexico (MEX), Nicaragua (NIC), Panama (PAN), Peru (PER), Philippines (PHL), Slovenia (SVN), Turkey (TUR), United States (USA) and Venezuela (VEN).
	
Covered period: from March 11, 2020 to present.
	
Temporal resolution: daily.
	
Temporal smoothing:
	

		
No smoothing.
		
7-day moving average.
		
14-day moving average.
		
21-day moving average.
		
28-day moving average.
	
	
	
Uncertainty: 95% bootstrap confidence interval.



Data ownership


Anonymized data on smartphone trajectories are collected, owned and managed by Futura Innovation SRL. Smartphone trajectories are stored and analyzed on servers owned by Futura Innovation SRL and not shared with third parties, including the author of this repository and his organization (University of Bergamo).


Contribution



	
Ilaria Cremonesi of Futura Innovation SRL is the data owner and data manager.
	
Francesco Finazzi of University of Bergamo developed the statistical methodology for the data analysis and the algorithms implemented on Futura Innovation SRL servers.



Repository update


CSV files of this repository are regularly produced by Futura Innovation SRL and published by the repository's author after validation.
DOI: 10.5281/zenodo.6984638
title: MobMeter: a global mobility data set based on smartphone trajectories

description: <strong>This data set is supplement to this Scientific Reports article.</strong> The data set provides estimates of country-level daily mobility metrics (uncertainty included) for 17 countries from March 11, 2020 to present. Estimates are based on more than 3.8 million smartphone trajectories. Metrics: Estimated daily average travelled distance by people. Estimated percentage of people who did not move during the 24 hours of the day. Countries: Argentina (ARG), Chile (CHL), Colombia (COL), Costa Rica (CRI), Ecuador (ECU), Greece (GRC), Guatemala (GTM), Italy (ITA), Mexico (MEX), Nicaragua (NIC), Panama (PAN), Peru (PER), Philippines (PHL), Slovenia (SVN), Turkey (TUR), United States (USA) and Venezuela (VEN). Covered period: from March 11, 2020 to present. Temporal resolution: daily. Temporal smoothing: No smoothing. 7-day moving average. 14-day moving average. 21-day moving average. 28-day moving average. Uncertainty: 95% bootstrap confidence interval. <strong>Data ownership</strong> Anonymized data on smartphone trajectories are collected, owned and managed by Futura Innovation SRL. Smartphone trajectories are stored and analyzed on servers owned by Futura Innovation SRL and not shared with third parties, including the author of this repository and his organization (University of Bergamo). <strong>Contribution</strong> Ilaria Cremonesi of Futura Innovation SRL is the data owner and data manager. Francesco Finazzi of University of Bergamo developed the statistical methodology for the data analysis and the algorithms implemented on Futura Innovation SRL servers. <strong>Repository update</strong> CSV files of this repository are regularly produced by Futura Innovation SRL and published by the repository's author after validation.
description: {"references": ["Finazzi, F. (2022) Replacing discontinued Big Tech mobility reports: a penetration-based analysis, arXiv:2210.09714"]}
DOI: 10.5281/zenodo.7462147
title: MobMeter: a global human mobility data set based on smartphone trajectories

description: The data set provides estimates of country-level daily mobility metrics (uncertainty included) for 17 countries from March 11, 2020 to present. Estimates are based on more than 3.8 million smartphone trajectories. <strong>This data set is supplement to this preprint.</strong> Metrics: Estimated daily average travelled distance by people. Estimated percentage of people who did not move during the 24 hours of the day. Countries: Argentina (ARG), Chile (CHL), Colombia (COL), Costa Rica (CRI), Ecuador (ECU), Greece (GRC), Guatemala (GTM), Italy (ITA), Mexico (MEX), Nicaragua (NIC), Panama (PAN), Peru (PER), Philippines (PHL), Slovenia (SVN), Turkey (TUR), United States (USA) and Venezuela (VEN). Covered period: from March 11, 2020 to present. Temporal resolution: daily. Temporal smoothing: No smoothing. 7-day moving average. 14-day moving average. 21-day moving average. 28-day moving average. Uncertainty: 95% bootstrap confidence interval. <strong>Data ownership</strong> Anonymized data on smartphone trajectories are collected, owned and managed by Futura Innovation SRL. Smartphone trajectories are stored and analyzed on servers owned by Futura Innovation SRL and not shared with third parties, including the author of this repository and his organization (University of Bergamo). <strong>Contribution</strong> Ilaria Cremonesi of Futura Innovation SRL is the data owner and data manager. Francesco Finazzi of University of Bergamo developed the statistical methodology for the data analysis and the algorithms implemented on Futura Innovation SRL servers.
description: {"references": ["Finazzi, F. (2022) Replacing discontinued Big Tech mobility reports: a penetration-based analysis, arXiv:2210.09714"]}
DOI: 10.5281/zenodo.7523028
title: MobMeter: a global human mobility data set based on smartphone trajectories

description: The data set provides estimates of country-level daily mobility metrics (uncertainty included) for 17 countries from March 11, 2020 to present. Estimates are based on more than 3.8 million smartphone trajectories. Metrics: Estimated daily average travelled distance by people. Estimated percentage of people who did not move during the 24 hours of the day. Countries: Argentina (ARG), Chile (CHL), Colombia (COL), Costa Rica (CRI), Ecuador (ECU), Greece (GRC), Guatemala (GTM), Italy (ITA), Mexico (MEX), Nicaragua (NIC), Panama (PAN), Peru (PER), Philippines (PHL), Slovenia (SVN), Turkey (TUR), United States (USA) and Venezuela (VEN). Covered period: from March 11, 2020 to present. Temporal resolution: daily. Temporal smoothing: No smoothing. 7-day moving average. 14-day moving average. 21-day moving average. 28-day moving average. Uncertainty: 95% bootstrap confidence interval. <strong>Data ownership</strong> Anonymized data on smartphone trajectories are collected, owned and managed by Futura Innovation SRL. Smartphone trajectories are stored and analyzed on servers owned by Futura Innovation SRL and not shared with third parties, including the author of this repository and his organization (University of Bergamo). <strong>Contribution</strong> Ilaria Cremonesi of Futura Innovation SRL is the data owner and data manager. Francesco Finazzi of University of Bergamo developed the statistical methodology for the data analysis and the algorithms implemented on Futura Innovation SRL servers.
description: {"references": ["Finazzi, F. (2022) Replacing discontinued Big Tech mobility reports: a penetration-based analysis, arXiv:2210.09714"]}