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

171 to 180 of 781 Results
Apr 14, 2025 - UVA Researchers on Harvard Dataverse
Horowitz, Michael C.; Ellis, Cali M.; Stam, Allan C., 2025, "Replication Data for: Introducing the LEAD Data Set", https://doi.org/10.7910/DVN/SYZZEY
This dataset includes the data and replication information necessary to replicate Cali M. Ellis, Michael C. Horowitz, and Allan C. Stam, “Introducing the LEAD Dataset.” International Interactions. 41:4 (2015), pp. 718-741. The Leader Experience and Attribute Descriptions (LEAD) data set provides a rich source of new information about the personal l...
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
Caverley, Jonathan D; Sechser, Todd S, 2025, "Military Technology and the Duration of Civil Conflict", https://doi.org/10.7910/DVN/TYZK9Z
Why do some civil conflicts end quickly, while others last for years? We argue that an incumbent government’s military forces play a crucial role in conflict duration. Specifically, combined arms militaries—which bring to bear a mixture of mechanized infantry, armor, and aircraft—make short conflicts more likely. The use of mechanized ground forces...
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
Colin Smith; Kate Ratliff; Brian Nosek, 2025, "Replication data for: Smith, Ratliff, & Nosek (2012): Rapid assimilation: Automatically integrating new information with existing beliefs.", https://doi.org/10.7910/DVN/Z28J0Y
The present research demonstrates rapid assimilation – the immediate integration of new information with existing beliefs. A vignette described generous and stringent welfare plans, one proposed by Democrats and one proposed by Republicans, manipulated between-subjects. Democrat and Republican participants were influenced by policy content, but als...
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, "Charters Corpus from: Cleaning Corporate Governance", https://doi.org/10.7910/DVN/GX5URZ
Charter corpus with chartering histories of S&P 1500 companies
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
Schnitzler, Jenna; Donovan, Inge; Ismail, M.A.; Mueller, C.T., 2025, "Historic precast concrete structures: 3D models of three prestressed systems by Aldo Favini and Angelo Mangiarotti", https://doi.org/10.7910/DVN/8Q9Q66
High resolution digital 3D models of the parish church in Baranzate with a segmented, precast secondary beam system (1956), the Max Market warehouse in Trezzano sul Naviglio designed around the shaped AL.FA slab (1965), and the Elmag plant in Lissone that uses the complete FM system (1964) reconstructed from archival construction documents
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, "Labeled Dataset from: Cleaning Corporate Governance", https://doi.org/10.7910/DVN/3S1XRN
Dataset with hand-coded labels
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
Kunze, Astrid; Miller, Amalia, 2025, "Replication Data for: "Women Helping Women? Evidence from Private Sector Data on Workplace Hierarchies"", https://doi.org/10.7910/DVN/IJH0GT
Kunze, Astrid, and Miller, Amalia, (2017) “Women Helping Women? Evidence from Private Sector Data on Workplace Hierarchies." Review of Economics and Statistics 99:5, 769-775.
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
Arriola, Leonardo; DeVaro, Jed; Meng, Anne, 2025, "Replication Data for: Democratic Subversion: Elite Cooptation and Opposition Fragmentation.", https://doi.org/10.7910/DVN/R8TUOQ
Incumbents in electoral regimes often retain power despite having to regularly compete in multiparty elections. We examine a specific channel through which incumbents can seek to prevent the emergence of a strong opposition that might threaten them in future elections. We present a formal model demonstrating that incumbents can strategically induce...
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
Post, Abigail S; Sechser, Todd S, 2025, "Replication Data for: Hand-Tying through Military Signals in Crisis Bargaining", https://doi.org/10.7910/DVN/RS0ICV
Theories of crisis bargaining suggest that costly signals can enhance the credibility of one’s coercive threats. In particular, engaging in conspicuous military mobilizations or demonstrations of force are thought to communicate one’s resolve in a crisis. Yet, there is disagreement about why this might be the case. One set of theories emphasizes th...
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
Minozzi, William; Hershberger, Ethan; Volden, Craig, 2025, "Party Calls and Reelection in the U.S. Senate", https://doi.org/10.7910/DVN/6NDYHC, The Journal of Politics Dataverse
The contents include the replication dataset for "Party Calls and Reelection in the U.S. Senate," as well as the code used to classify party calls in the House and Senate.
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.