This dataverse contains the holdings of the H. W. Odum Institute for Research in Social Science at the University of North Carolina, Chapel hill. These holdings include many state polls and national surveys.

Many studies are public. But note that some studies are restricted, and only accessible to UNC affiliates.

For more information about this data please see the Odum Institute Web site.

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

51 to 60 of 4,694 Results
Feb 9, 2022
O'Reilly, Robert, 2022, "Sam Nunn Constituent Casework Correspondence", https://doi.org/10.15139/S3/FBJACF, Emory Libraries and Information Technology Services, UNF:6:arOwIWGtj1yowYfhZ90Kug== [fileUNF]
This collection consists of coded data from casework correspondence received by the office of Senator Sam Nunn from 1994-1996. The correspondence was coded to include information about the geographic locations of the constituents and the topics covered by the casework. The data was received as part of the Sam Nunn papers (MSS800); archivists discar...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Feb 9, 2022
O'Reilly, Robert, 2022, "Sam Nunn Constituent Issue Mail", https://doi.org/10.15139/S3/3TI7VF, Emory Libraries and Information Technology Services, UNF:6:pPoJ99VJb7CWwDp7rWf3xA== [fileUNF]
This dataset consists of coded data from constituent issue mail received by the office of Senator Sam Nunn from 1978-1996. The letters were coded to include information about the geographic locations of the senders and the topics covered by the letters. The data was received as part of the Sam Nunn papers (MSS800); the data roughly corresponds to t...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Feb 7, 2022
Popkin, Barry, 2015, "RLMS-HSE Community Data", https://hdl.handle.net/1902.29/11736, Odum Institute for Research in Social Science, UNF:6:PWWx56QgKAjpwNEXYgoz0g== [fileUNF]
The Russia Longitudinal Monitoring Survey (RLMS) is a series of nationally representative surveys designed to monitor the effects of Russian reforms on the health and economic welfare of households and individuals in the Russian Federation. These effects are measured by a variety of means: detailed monitoring of individuals' health status and dieta...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Feb 5, 2022
Wei, Zhangping, 2022, "Hurricane damage images", https://doi.org/10.15139/S3/DPNPBM
"hurricane_flood_photos_classification_dataset" contains the test, train, and validation images that were used for the classification models. "hurricane_damage_object_detection_dataset" contains the train and test images that were used for the object detection models. The TensorFlow record files that were created from the train and test images are...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Feb 4, 2022
Jansa, Joshua; Dorrell, Robert M. Jr., 2022, "Replication Data for: Copy, Paste, Legislate, Succeed? The Effect of Policy Plagiarism on Policy Success in the American States", https://doi.org/10.15139/S3/4NUGS7
Scholars and journalists have shown that state legislators often copy and paste policy text from other sources. This “policy plagiarism” is perceived by critics as symptomatic of process failures and likely to undermine policy success. To proponents, copying and pasting stems from an efficient learning process likely to guarantee policy success. We...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Feb 2, 2022
Carolina Tracker, 2022, "Initial unemployment insurance claimants", https://doi.org/10.15139/S3/LMNUUD, UNF:6:LvAx/6EfBe1y/G+fVlKYqA== [fileUNF]
This dataset includes unemployment insurance claimants filed with the North Carolina Department of Commerce. The raw data separately provides initial and continued unemployment insurance claimants, providing cross-tab summaries by geography, gender, race, ethnicity, age, and sector that vary in completeness. While this data provides a comprehensive...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Feb 2, 2022
Carolina Tracker, 2022, "Building permits", https://doi.org/10.15139/S3/E39AMV, UNF:6:m1ur9yVdkJWFExrdO0u1yg== [fileUNF]
The Census Bureau’s Building Permit Survey reports all new housing units authorized by building permits dating from January 2000. It does not include unpermitted construction, and also does not differentiate on the status or completion of permitted construction. BPS files are publicly available to download for a range of geographies as monthly or a...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Feb 1, 2022
Xu, Wenxuan; Yan, Yan; Artsimovitch, Irina; Dunlap, David; Finzi. Laura, 2022, "Replication Data for: Xu/Yan et al., "Positive supercoiling favors transcription", NAR 2022", https://doi.org/10.15139/S3/UBWSVZ, UNF:6:eItGmFM2wVnYCkhUgNoSLg== [fileUNF]
Excel and Matlab format data files as well as simple M-files to plot the Matlab formatted data are included.
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Jan 29, 2022
Varghese, Jithin Sam, 2022, "Appendix A of National Sample Survey Household Consumer Expenditure Reports: Rounds 68 and 75", https://doi.org/10.15139/S3/FJDFSV, UNF:6:3kBoX1YZke452Jl666Nk5A== [fileUNF]
NSS 75th round survey on Household Consumer Expenditure used only Modified Mixed Reference Period (MMRP, described in details in paragraph 2.3.1 of chapter 2) as adopted in NSS 68th round. In 66th and 68th round survey, three different methods of measurement of Monthly Per Capita Expenditure (MPCE) at the household level – the URP (Uniform Referenc...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Jan 28, 2022
Lemoine, Jean Frantz; Javel, Alain; Hast, Marisa; Dubray, Christine; Brant, Tara; Chancey, Rebecca; Robinson, Keri; Fayette, Carl; Denis, Eurica, 2022, "Lymphatic Filariasis Positive-Case Follow-up After TAS 2 in Haiti", https://doi.org/10.15139/S3/WOYRUW, UNF:6:1hwzmMg+ivX5jUrP27/VPQ== [fileUNF]
Because the cut-off for passing a transmission assessment survey (TAS) is a critical cut-off based on the upper 95% confidence interval of less than 1 or 2% (dependent on primary vector) prevalence of antigenemia among children ages 6 and 7, many implementation units pass TAS with one or more positive FTS results. However, the presence of any FTS p...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Add Data

Sign up or 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.