39,271 to 39,280 of 39,295 Results
Sep 3, 2020 -
Replication Data for: Elusive Consensus: Polarization in Elite Communication on the COVID-19 Pandemic
R Syntax - 13.7 KB -
MD5: 726c4f7bf86a589999833fbe83ece474
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Sep 3, 2020 -
Replication Data for: Elusive Consensus: Polarization in Elite Communication on the COVID-19 Pandemic
R Syntax - 14.8 KB -
MD5: a9ed2b5c9d4217841259ec928b148781
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Sep 3, 2020 -
Replication Data for: Elusive Consensus: Polarization in Elite Communication on the COVID-19 Pandemic
R Syntax - 7.8 KB -
MD5: 0f5f5ec1a5ed5c74deefaf2f2633c2da
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Sep 3, 2020 -
Replication Data for: Elusive Consensus: Polarization in Elite Communication on the COVID-19 Pandemic
R Data - 28.7 MB -
MD5: aadbf87a4ec1860289f3fc89c1ab3dee
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Sep 3, 2020 -
Replication Data for: Elusive Consensus: Polarization in Elite Communication on the COVID-19 Pandemic
Adobe PDF - 7.9 KB -
MD5: 6643515619085aa34aba161af75cb2da
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Sep 3, 2020 - COVID-19 Survey Research
Aldrich, Daniel; Balcioglu, Zeynep; Fraser, Timothy; Lee, Juheon; Marion, Summer; Page-Tan, Courtney, 2020, "COVID-19 Community Assessment Survey", https://hdl.handle.net/21.15109/CONCORDA/Q92JOM, ARP, V2
The primary aim of this study is to understand the relationships between social ties and COVID-19 infection and mortality rates. We are fielding this survey in six neighborhoods in New York City and Boston. We hypothesize that alongside age, underlying conditions, and other demographic vulnerability factors, social ties are a key predictor of how i... |
Sep 3, 2020 -
COVID-19 Community Assessment Survey
Adobe PDF - 375.4 KB -
MD5: d6e0f656fb54db8aa07069454c255cdb
This survey, addressing relationships between social ties and COVID-19 infection and mortality rates, is being fielded in six neighborhoods in New York City and Boston between April and June 2020. |
Sep 3, 2020 - COVID-19 2019-nCoV SARS-CoV-2 Datasets
Ricke, Darrell, 2020, "Medical Countermeasures Analysis of 2019-nCoV / SARS-CoV-2 for COVID-19", https://hdl.handle.net/21.15109/CONCORDA/ZW2E8N, ARP, V2, UNF:6:4ZH/MQtv8npAZav9ewMyYw== [fileUNF]
SARS-CoV-2 viral protein multiple sequence alignments and Flux variation analysis |
Tabular Data - 4.3 KB - 10 Variables, 75 Observations - UNF:6:4ZH/MQtv8npAZav9ewMyYw==
Flux variation results |
Sep 3, 2020 - Sentiment Analysis During COVID-19 Pandemic
Yao, Xiaozhe, 2020, "COVID-19 Sentiment Analysis", https://hdl.handle.net/21.15109/CONCORDA/4IQJ3W, ARP, V2
COVID-19 Sentiment Analysis |



