Share, publish, and archive your data. Find and cite data across all research fields

Select the collection, from the scrolling list below, in which you want to add a dataset or create a dataset at the main level of LibraData with the "Add Data" button below.
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

141 to 150 of 780 Results
Apr 15, 2025 - UVA Researchers on Harvard Dataverse
Atkinson, Mary Layton; Windett, Jason; Mousavi, Reza, 2025, "Replication Data for Detecting diverse perspectives: using text analytics to reveal sex differences in congressional debate about defense", https://doi.org/10.7910/DVN/ZH4K0S
These is script and file can be used to run the analysis presented in the main text, as well as all supplemental material.
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Apr 14, 2025 - UVA Researchers on Harvard Dataverse
Lee, Jae Won; Carvalho, Carlos; Dam, Niels Arne, 2025, "Replication data for: The Cross-Sectional Distribution of Price Stickiness Implied by Aggregate Data", https://doi.org/10.7910/DVN/1RRYTT
Carvalho, Carlos, Dam, Niels Arne, and Lee, Jae Won, (2020) "The Cross-Sectional Distribution of Price Stickiness Implied by Aggregate Data." Review of Economics and Statistics 102:1, 162-179.
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Apr 14, 2025 - UVA Researchers on Harvard Dataverse
Harden, Jeffrey J.; Kirkland, Justin H.; Shea, Patrick E., 2025, "Replication Data for: Legislative Transparency and Credit Risk", https://doi.org/10.7910/DVN/3GWZ9J
Open governance requirements are designed to improve accountability, which implies that transparent governments are more trustworthy stewards of their publicly-invested power. However, transparency may also reduce institutional effectiveness and inhibit political compromise, diminishing the capacity to manage resources responsibly. We assess empiri...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Apr 14, 2025 - UVA Researchers on Harvard Dataverse
Gilbert, Daniel; King, Gary; Pettigrew, Stephen; Wilson, Timothy, 2025, "Replication Data for: Comment on “Estimating the reproducibility of psychological science.”", https://doi.org/10.7910/DVN/5LKVH2
Replication Data for: Comment on “Estimating the reproducibility of psychological science.”
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Apr 14, 2025 - UVA Researchers on Harvard Dataverse
Mbiti, Isaac; McCasland, Jamie; Hardy, Morgan; Cole, Kym; Enriquez, Mark; Salcher, Isabelle, 2025, "Training for success: targeting and incentives in apprenticeship training in Ghana", https://doi.org/10.7910/DVN/AF9BX7
Stata do files and ready-for-analysis data used in the analysis published in the Final Report to 3ie on the project, "Training for success: targeting and incentives in apprenticeship training in Ghana" (project code TW 1.1063). This project was funded as part of the Social Protection Thematic Window.
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Apr 14, 2025 - UVA Researchers on Harvard Dataverse
Mbiti, Isaac; Muralidharan, Karthik; Romero, Mauricio; Schipper, Youdi; Manda, Constantine; Rajani, Rakesh, 2025, "Replication Data for: 'Inputs, Incentives, and Complementarities in Education: Experimental Evidence from Tanzania'", https://doi.org/10.7910/DVN/AKVGQ7
The data and programs replicate tables and figures from "Inputs, Incentives, and Complementarities in Education: Experimental Evidence from Tanzania", by Mbiti, Muralidharan, Romero, Schipper, Manda, and Rajani. Please see the Readme file for additional details.
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Apr 14, 2025 - UVA Researchers on Harvard Dataverse
Sebnem Kalemli-Ozcan; Ariell Reshef; Bent E. Sørensen; Oved Yosha, 2025, "Replication data for: Why Does Capital Flow to Rich States?", https://doi.org/10.7910/DVN/DSCKVC
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Apr 14, 2025 - UVA Researchers on Harvard Dataverse
Barjamovic, Gojko; Chaney, Thomas; Cosar, Kerem; Hortacsu, Ali, 2025, "Replication Data for: 'Trade, Merchants, and the Lost Cities of the Bronze Age'", https://doi.org/10.7910/DVN/P81WBZ
The data and programs replicate tables and figures from "Trade, Merchants, and the Lost Cities of the Bronze Age", by Barjamovic, Chaney, Cosar, and Hortacsu. Please see the Readme file for additional details.
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Apr 14, 2025 - UVA Researchers on Harvard Dataverse
Frankenreiter, Jens; Hwang, Cathy; Nili, Yaron; Talley, Eric, 2025, "G and CCG Index Data from: Cleaning Corporate Governance", https://doi.org/10.7910/DVN/T8UTXL
Dataset listing the G index and the CCG index for companies-years for which we were able to replicate the G index using our own data
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Apr 14, 2025 - UVA Researchers on Harvard Dataverse
Nobre G. F. Amorim, Americo; Jeon, Lieny; Abel, Yolanda; Pape, Stephen, 2025, "First grade students early mathematics skills scores obtained in a randomized controlled trial during the COVID-19 pandemic school closures with children studying alone at home in Brazil", https://doi.org/10.7910/DVN/WIGYFI
This database contains scores of the control and experimental group of students of a randomized controlled trial which involved 726 first grade students living in poverty. Skills include: Number identification, Set comparison, Count-sequence, Geometric shape, Spatial sense
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.