Automated Organization Profile

UNC - Chapel Hill

Current S-Index

5.8

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.4

Average Dataset Index per dataset

Total Datasets

16

Total datasets in this organization

Average FAIR Score

31.2%

Average FAIR Score per dataset

Total Citations

1

Total citations to the organization's datasets

Total Mentions

0

Total mentions of the organization's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Replication Data for: Local Norms, Political Partisanship, and Pandemic Response: Evidence from the US

Includes Stata data and do files to replicate the statistical tests in the main manuscript and the appendix of the article "Local Norms, Political Partisanship, and Pandemic Response: Evidence from the US."

Authors

  • Lipsitz, Keena ;
  • Pop-Eleches, Grigore ;
  • Robertson, Graeme
0 Citations0 Mentions15% FAIR0.1 Dataset Index
10.7910/dvn/95vzd22023

MassIVE MSV000093016 - Cell Free Biosynthesis of Peptide Natural Products

No description available

Authors

  • Hicks, Leslie
0 Citations0 Mentions15% FAIR0.1 Dataset Index
10.25345/c59k4639v2023

Replication Data for: "Demolition and Discontent: Governing the Authoritarian City"

This archive contains the data and scripts necessary to replicate the analyses in "Demolition and Discontent: Governing the Authoritarian City"

Authors

  • Norton, Sean
0 Citations0 Mentions15% FAIR0.1 Dataset Index
10.7910/dvn/ji0jow2022

Replication Data for: Demolition and Discontent: Governing the Authoritarian City (Version: 1.0)

The presence of large cities increases the probability of authoritarian breakdown, but the literature has offered little empirical insight as to how challenges to authoritarian rule develop in urban space. I develop a theory of cities as complex socio-political spaces that are difficult to govern, particularly in the absence of democratic institutions. This complexity makes both cooptation and coercion difficult, meaning the very tactics that authoritarian cities use to control discontent can become its proximate cause. Using a large, city-financed housing project in Moscow targeted at rewarding regime supporters, I utilize a Bayesian semi-parametric model to demonstrate that even a seemingly well-targeted cooptive exchange contributed to a surprising defeat for the regime in a subsequent municipal election. My results suggest that the relative illegibility of cities plays an important part in the development of opposition to authoritarian rule.

Authors

  • Norton, Sean T.
0 Citations0 Mentions15% FAIR0.1 Dataset Index
10.7910/dvn/2thqjn2022

MassIVE MSV000087101 - Polymyxin resistance in colibactin-producing Escherichia coli induces host genotoxicity

No description available

Authors

  • Hicks, Leslie M.
0 Citations0 Mentions15% FAIR0.1 Dataset Index
10.25345/c5cr5d2021

MassIVE MSV000087680 - GNPS_PWS_Ecoli_test_data_20210622_v2

No description available

Authors

  • Hicks, Leslie
0 Citations0 Mentions15% FAIR0.1 Dataset Index
10.25345/c5hc2q2021

profile_level_clean.tab

:unav

Authors

  • Martin, Lucy
0 Citations0 Mentions58% FAIR0.3 Dataset Index
10.7910/dvn/id1kjg/pewsn32019

JEPS_Replication.do

:unav

Authors

  • Martin, Lucy
0 Citations0 Mentions58% FAIR0.2 Dataset Index
10.7910/dvn/id1kjg/zykp152019

respondent_level_clean.tab

:unav

Authors

  • Martin, Lucy
0 Citations0 Mentions58% FAIR0.3 Dataset Index
10.7910/dvn/id1kjg/5qgybn2019

Replication Data for: All Sins are not Created Equal: The Factors that Drive Perceptions of Corruption Severity (Version: 1.0)

Despite corruption’s effects on citizen welfare, there is substantial variation in when citizens are willing to sanction government wrongdoing. This paper uses a conjoint survey experiment, conducted in Uganda, to test how information about the position a corrupt official holds, and the details of an act of embezzlement, affect citizens’ perceptions of corruption severity and willingness to punish. I find that the revenue source of stolen funds and the sector to which the funds had been allocated have the largest impact on perceived severity, followed by whether stolen funds are spent privately or recirculated through patronage or clientelism. The position the corrupt official holds has a smaller impact on severity, including whether the official was elected and whether he was a central or local official.

Authors

  • Martin, Lucy
0 Citations0 Mentions15% FAIR0.1 Dataset Index
10.7910/dvn/id1kjg2019