Showing 145-152 of 573 results
Our World in Data – COVID-19 and Global Development Statistics

Our World in Data – COVID-19 and Global Development Statistics

Lisa
Open Dataset
Creators: Our World in Data (University of Oxford / Global Change Data Lab)
Publication Date: published and updated continuously
Creators: Our World in Data (University of Oxford / Global Change Data Lab)

Our World in Data aggregates and visualises data on a wide range of global topics including COVID-19 cases, deaths, vaccinations, health, poverty, and economic development, drawing on sources such as WHO, World Bank, and national statistics agencies.

CoVariants – SARS-CoV-2 Variant and Mutation Tracking Data

CoVariants – SARS-CoV-2 Variant and Mutation Tracking Data

Lisa
Open Dataset
Creators: Emma Hodcroft; Nextstrain
Publication Date: 2025-06-18
Creators: Emma Hodcroft; Nextstrain

CoVariants is an open-source project tracking SARS-CoV-2 mutations and variants of concern across countries over time, providing visualisations and data on the prevalence of different COVID-19 variants based on genomic sequencing data.

Replication Data: Expectations, Infections, and Economic Activity

Replication Data: Expectations, Infections, and Economic Activity

Lisa
Open Dataset
Creators: Martin Eichenbaum, Miguel Godinho de Matos, Francisco Lima, Sergio Rebelo, and Mathias Trabandt
Publication Date: 2023-09-14
Creators: Martin Eichenbaum, Miguel Godinho de Matos, Francisco Lima, Sergio Rebelo, and Mathias Trabandt

This dataset, hosted on Harvard Dataverse, contains the replication data for the study “Expectations, Infections, and Economic Activity” (Eichenbaum et al., 2024, Journal of Political Economy). It includes consumer transaction and epidemiological data used to examine how expectations about COVID-19 infection risk affect consumer behaviour and economic activity, combining macroeconomic modelling with granular spending data to quantify the role of beliefs in driving pandemic-era economic fluctuations.

U.S. Census Bureau – Current Population Survey (CPS) Annual Social and Economic Supplement

U.S. Census Bureau – Current Population Survey (CPS) Annual Social and Economic Supplement

Lisa
Open Dataset
Creators: U.S. Census Bureau; U.S. Bureau of Labor Statistics
Publication Date: 2023
Creators: U.S. Census Bureau; U.S. Bureau of Labor Statistics

The Current Population Survey (CPS), conducted monthly by the U.S. Census Bureau and Bureau of Labor Statistics, provides comprehensive data on employment, income, poverty, and demographic characteristics of the U.S. population. The Annual Social and Economic Supplement (ASEC) is the primary source for official U.S. income and poverty statistics.

Replication Data: Income Inequality in the United States – Using Tax Data to Measure Long-Term Trends

Replication Data: Income Inequality in the United States – Using Tax Data to Measure Long-Term Trends

Lisa
Open Dataset
Creators: Gerald Auten and David Splinter
Publication Date: 2023
Creators: Gerald Auten and David Splinter

This dataset, hosted on Harvard Dataverse, contains the replication data for the study “Income Inequality in the United States: Using Tax Data to Measure Long-Term Trends” (Auten & Splinter, 2024, Journal of Political Economy). It includes tax-based income distribution data used to construct long-run estimates of U.S. income inequality, offering an alternative perspective to survey-based measures by leveraging administrative tax records to track the evolution of top income shares and the overall income distribution over several decades.

FAO – Food and Agriculture Organization Statistical Databases

FAO – Food and Agriculture Organization Statistical Databases

Lisa
Open Dataset
Creators: Food and Agriculture Organization of the United Nations (FAO)
Publication Date: publishing continuously
Creators: Food and Agriculture Organization of the United Nations (FAO)

The FAO provides comprehensive statistical databases on food, agriculture, fisheries, and forestry across all countries, including data on fish production, trade, and aquaculture.

AM Legacy Stock Assessment Database – Global Fisheries Data

AM Legacy Stock Assessment Database – Global Fisheries Data

Lisa
Open Dataset
Creators: Carl Boettiger, Kshitiz Gupta
Publication Date: /
Creators: Carl Boettiger, Kshitiz Gupta

The RAM Legacy Stock Assessment Database provides a global compilation of stock assessment data for marine fisheries, including biomass, fishing mortality, and stock status over time for hundreds of fish stocks worldwide.

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