Replication Data for: "Electoral Reform Under Limited Party Competition: The Adoption of Proportional Representation in Latin America"

Datase on the shift from majoritarian to proportional electoral systems in Latin Americ

EMERGE Data Release 1 (DR1)

EMERGE Early ALMA Survey: Data release 1 (DR1). Includes: - Tracers: N2H+ (1-0), HNC (1-0), HC3N (10-9), 3mm continuum - IRAM-30m alone: mom0 maps + TK maps - ALMA+IRAM30m: mom0 maps for all intCLEAN, Feather, and MACF reductions See Hacar et al 2024 for a full description

Retinal Microstructural Features for Estimating Survival Outcome in Glioblastoma Patients

Excel data and Prism graphs generated in a study investigating predictive potential of retinal features from OCT/OCTA in predicting survival outcome in patients with glioblastoma

PDB: 3AB0, Crystal structure of complex of the Bacillus anthracis major spore surface protein BclA with ScFv antibody fragment (310K, 37°C, 100 ns)

PDB: 3AB0, Crystal structure of complex of the Bacillus anthracis major spore surface protein BclA with ScFv antibody fragment (310K, 37°C, 100 ns): random seed #1. PDBs obtained at every 50 ns

Linking Digital Economy and Low-Carbon Economy: An In-depth Analysis of Correlation, Multicollinearity, and Mediating Effects across Income Groups

Linking Digital Economy and Low-Carbon Economy: An In-depth Analysis of Correlation, Multicollinearity, and Mediating Effects across Income Group

Replication Data for: The Effect of the COVID-19 Pandemic on Risk of Corruption

This paper estimates the effect of the COVID-19 pandemic on risk of corruption in Mexico. To calculate the pandemic’s impact on risk of corruption, this study uses monthly administrative data of 378,000 public acquisitions through 64 institutions from the Mexican Federal Government during the 2018-2020 period. These institutions account for approximately 75% of all allocations of public acquisitions made by the Mexican Federal Government. The risk of corruption is measured through the Discrete-Contracts-Value-to-Budget (DCVB) ratio, which represents the ratio of the value of contracts assigned through discretionary non-competitive mechanisms to the total value of contracts per institution. The empirical strategy consists of a difference-in-differences methodology and an event-study design. The analysis is conducted over all institutions as well as by healthcare and non-healthcare institutions. The results show the following: (1) the pandemic increased the DCVB ratio by 17%; (2) the DCVB ratio increased during six months and then it returned to pre-pandemic levels (inverted U-shape form); and (3) surprisingly, the rise in the risk of corruption is mainly driven by non-healthcare institutions. From a policy perspective, Mexico’s Government Accountability Office, although counterintuitive, should focus on non-healthcare institutions when conducting audits targeting public acquisitions made during the pandemic, even though much of the political debate remains centered around the risk of corruption in healthcare institutions

Replication Data for: Informed Voting

Replication package for "Informed Voting" by Meng Gao and Jiekun Huang. This package contains a list of data and code that generate all tables and figures in the paper, including those in the Internet Appendix

GenImage

You can find an easy to use download script here: https://www.unbiased-genimage.org This is an easy to use download of the GenImage dataset for AI-generated image detection. We provide this download, since the original GenImage download at Baidu is hard to use from countries outside of Asia. GenImage: https://genimage-dataset.github.io/ The dataset corresponds to our paper "Fake or JPEG? Revealing Common Biases in Generated Image Detection Datasets" https://www.unbiased-genimage.org We added a metadata CSV which contains additional information to the original GenImage download, such as JPEG quality factor or content class ID. We removed 17 corrupted files from the original download, as listed in corrupted_files.txt <br

Replication Data for: Do Earthquakes Increase or Decrease Crime?

There is theoretical divergence over how earthquakes affect crime. On the one hand, earthquakes improve individual cooperation, social trust, and crime reduction. On the other hand, earthquakes impact state capacity and enhance the prevalence of motivated offenders such as street gangs. This study empirically analyzes the effects of the September 2017 earthquakes in Mexico on personal crimes (assault and aggravated assault) and property crimes (vehicle theft, residential burglary, and vandalism). Using official police data, a difference-in-differences technique, and an event-study design, the results show that earthquakes increased assault by 14 percent and vandalism by 8 percent

Laser-direct-drive fusion target design with a high-Z gradient-density pusher shell

Laser-direct-drive fusion target designs with solid deuterium-tritium (DT) fuel, a high-Z gradient-density pusher shell (GDPS), and a Au-coated foam layer have been investigated through both 1D and 2D radiationhydrodynamic simulations. Compared with conventional low-Z ablators and DT-push-on-DT targets, these GDPS targets possess certain advantages of being instability-resistant implosions that can be high adiabat (α 8) and low hot-spot and pusher-shell convergence (CRhs ≈ 22 and CRPS ≈ 17), and have a low implosion velocity (vimp 20 MJ at a driven laser energy of ∼2 MJ. The key factors behind the robust ignition and moderate energy gain of such GDPS implosions are as follows: (1) The high initial density of the high-Z pusher shell can be placed at a very high adiabat while the DT fuel is maintained at a relatively low-entropy state; therefore, such implosions can still provide enough compression ρR >1 g/cm2 for sufficient confinement; (2) the high-Z layer significantly reduces heat-conduction loss from the hot spot since thermal conductivity scales as ∼1/Z; and (3) possible radiation trapping may offer an additional advantage for reducing energy loss from such high-Z targets