211 to 220 of 337 Results
Apr 8, 2026 - ISPS Data Archive
Mei Guan; Donald P. Green, 2010, "Non-Coercive Mobilization in State-Controlled Elections: An Experimental Study in Beijing", https://doi.org/10.60600/YU/TWLIFH, Yale Dataverse, V2, UNF:6:C/8PeAd25HG0QVec09DwsQ== [fileUNF]
China has gradually introduced a limited degree of democratization to its system of local governance, permitting self-nominated candidates for People’s Congress to campaign on their own behalf. Liberalization of elections has also meant that voters are less likely to be coerced into voting by their work groups. What are the likely consequences of l... |
Apr 8, 2026 - ISPS Data Archive
Jonathan S. Krasno; Donald P. Green, 2010, "Do Televised Presidential Ads Increase Voter Turnout? Evidence from a Natural Experiment.", https://doi.org/10.60600/YU/QJKB0I, Yale Dataverse, V2, UNF:6:+ySWc5FwpUlU46MJtW4vKQ== [fileUNF]
The geographic idiosyncrasies of states and media markets set the stage for a natural experiment in which residents of a given state may be exposed to widely varying quantities of presidential television advertising. We use this natural experiment to estimate the effects of TV ads on voter turnout. Analysis of voting rates in media markets reveals... |
Apr 8, 2026 - ISPS Data Archive
Alan S. Gerber; Donald P. Green; Christopher W. Larimer, 2010, "Social Pressure and Voter Turnout: Evidence from a Large-Scale Field Experiment", https://doi.org/10.60600/YU/CGMWNW, Yale Dataverse, V2, UNF:6:kGen8sAhSRBpZo+dWQAw8A== [fileUNF]
Voter turnout theories based on rational self-interested behavior generally fail to predict significant turnout unless they account for the utility that citizens receive from performing their civic duty. We distinguish between two aspects of this type of utility, intrinsic satisfaction from behaving in accordance with a norm and extrinsic incentive... |
Mar 31, 2026 - Forest recovery pathways after fire, drought and windstorms in southeastern Amazon
Maracahipes, Leandro, 2026, "Spatial and temporal dynamics of grass cover in the Amazon", https://doi.org/10.60600/YU/J1PWNT, Yale Dataverse, V1, UNF:6:gv89ZIVWa+ZF2Dofks037Q== [fileUNF]
README: Grass Coverage Area 1 INSERT LINK TO THE DATA ON DRYAD HERE The data in this folder consists of a temporal raster stack of grass coverage in Area 1 of Tanguro Field Station in Mato Grosso, Brazil. Grass was documented in 2012, 2015, 2022, and 2025. Rasters were created from gridded observations of grass coverage in the plot and values were... |
Mar 30, 2026 - Zuzana Tobiasova Dataverse
Tobiasova, Zuzana, 2026, "Pre Car-T Treatment images for patients with Diffuse Large B-Cell Lymphoma", https://doi.org/10.60600/YU/1QHMAY, Yale Dataverse, V1
This data was collected to understand the association between vascular and immune cell activation states in patients with diffuse large b-cell lymphoma who's tumors would respond or not respond to subsequent CAR-T treatment. Please see the README.md file for more detailed description. |
Mar 24, 2026 - Sohrab Ismail-Beigi Group Dataverse
Ismail-Beigi, Sohrab; Jin, Zheting, 2026, "Supporting data for "Dopant-induced stabilization of three-dimensional charge order in cuprates"", https://doi.org/10.60600/YU/M5FRPH, Yale Dataverse, V1
This data set has the supporting data for the work "Dopant-induced stabilization of three-dimensional charge order in cuprates" by Zheting Jin and Sohrab Ismail-Beigi. The preprint manuscript can be found at https://arxiv.org/abs/2507.17048v2 Please see the README.md file for details on file contents and how to regenerate computed Monte Carlo resul... |
Mar 20, 2026 - David Mayhew
Mayhew, David, 2026, "Divided We Govern", https://doi.org/10.60600/YU/FTG1YD, Yale Dataverse, V2
Dataset and materials, current through 2025, for David R. Mayhew, Divided We Govern: Party Control, Lawmaking, and Investigations, 1946-2002. |
Mar 13, 2026 - Dash Watts Dataverse
Watts, Dash, 2026, "Listening to a consonant chord progression during live face-to-face gaze enhances neural activity in social systems", https://doi.org/10.60600/YU/YD0KXW, Yale Dataverse, V1, UNF:6:6IDccZ7NzKCVGxEtbWs6nA== [fileUNF]
Included in this dataset are the data collected from self-reported typically developing participants engaged in a dyadic music listening task in which two individuals sat across from each other while listening to musical stimuli with a structured chord or predictable progression (Chord Progression condition) and unstructured and unpredictable compo... |
Feb 26, 2026 - Can we manage forest edge temperatures of Amazonia’s agricultural frontier?
Hellenkamp, Skye, 2026, "Can we manage forest edge temperatures of Amazonia’s agricultural frontier?", https://doi.org/10.60600/YU/Z7SRVN, Yale Dataverse, V1, UNF:6:dNbktyKoFTQDuXvIGoyuvQ== [fileUNF]
This dataset includes the Google Earth Engine (GEE) code used to obtain Landsat Land Surface Temperature (LST) data, the Landsat LST imagery files, shapefiles used in ArcGIS Pro, and R scripts used to clean and analyze the data. |
Feb 22, 2026 - J. Lucian (Luke) Davis Dataverse
Tyler Scott Johnson; Leah Nanziri; Amanda J. Gupta; Mari Armstrong-Hough; Irene Ayakaka; Sheela V. Shenoi; Achilles Katamba; J. Lucian Davis, 2026, "Replication Data for: Effectiveness of routine tuberculosis education in a high-burden setting: A prospective observational cohort study", https://doi.org/10.60600/YU/HKO6AJ, Yale Dataverse, V1
De-identified dataset, README file, Variable Labels, and R analysis code used in the study analysis "Effectiveness of routine tuberculosis education in a high-burden setting: A prospective observational cohort study |
