54,411 to 54,420 of 54,533 Results
Aug 7, 2017 -
Data from: Multi-temporal analysis reveals that predictors of mountain pine beetle infestation change during outbreak cycles
Unknown - 214 B -
MD5: bec1fe079d55f85fad9ebb24f8c7c822
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Aug 7, 2017 -
Data from: Multi-temporal analysis reveals that predictors of mountain pine beetle infestation change during outbreak cycles
XML - 2.6 KB -
MD5: 2d3ca05f9f50a8d96e33f20ce1dd33c2
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Aug 7, 2017 -
Data from: Multi-temporal analysis reveals that predictors of mountain pine beetle infestation change during outbreak cycles
Tabular Data - 268.5 KB - 22 Variables, 2000 Observations - UNF:6:CwpNPAsvEUXM4vXAcZW9ug==
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Aug 7, 2017 -
Data from: Multi-temporal analysis reveals that predictors of mountain pine beetle infestation change during outbreak cycles
Plain Text - 4.9 KB -
MD5: 68d83904cd5604b5df3091014c2938fb
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Jul 17, 2017 - Center for Advanced Medical Analytics (CAMA)
Moss, Travis, 2017, "Replication Data for: Cardiorespiratory dynamics measured from continuous ECG monitoring improves detection of deterioration in acute care patients: A retrospective cohort study", https://doi.org/10.18130/V3/MKY17T, University of Virginia Dataverse, V1, UNF:6:X+2wSZbLeWoWG/3CELuVXw== [fileUNF]
Minimal anonymized data set for replication of study findings |
Tabular Data - 912.4 MB - 62 Variables, 2217958 Observations - UNF:6:X+2wSZbLeWoWG/3CELuVXw==
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Plain Text - 6.7 KB -
MD5: 6f307eaac55bf6f1ef87ac98700dc5ed
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Jul 11, 2017 - LibraData: UVa's Scholarly Research
Boggs, Jeremy, 2017, "Charlottesville KKK Tweet IDs", https://doi.org/10.18130/V3/MSCNLT, University of Virginia Dataverse, V1
39,264 IDs for tweets related to the Charlottesville KKK rally on July 8, 2017. These tweet IDs matched a search for 'Charlottesville KKK OR #charlottesvilleKKK OR #blocKKK or #blocKKKparty'. These tweet IDs were collected with the twarc command line tool from Documenting the Now. Using twarc's hydrate command, researchers can retrieve the full con... |
Jul 11, 2017 -
Charlottesville KKK Tweet IDs
Plain Text - 728.5 KB -
MD5: 134633127438ed0fec39e51cf368424c
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