621 to 630 of 840 Results
May 24, 2022 -
Related data for: Topologically Organized Networks in the Claustrum Reflect Functional Modularization
PNG Image - 332.8 KB -
MD5: 41f6086cde1f718ccb775696f719338b
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May 24, 2022 -
Related data for: Topologically Organized Networks in the Claustrum Reflect Functional Modularization
Unknown - 40.0 MB -
MD5: 7d2fb65491113b96a11b64a7e3535635
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May 24, 2022 -
Related data for: Topologically Organized Networks in the Claustrum Reflect Functional Modularization
PNG Image - 579.4 KB -
MD5: 7924ac5122c234a3e54bc7275e7eb1ce
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May 24, 2022 -
Related data for: Topologically Organized Networks in the Claustrum Reflect Functional Modularization
Unknown - 58.2 MB -
MD5: 0791ad5b25843eacac24db54627020d5
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May 24, 2022 -
Related data for: Topologically Organized Networks in the Claustrum Reflect Functional Modularization
PNG Image - 432.3 KB -
MD5: 7daa26c27dc40aa3bff771ff079e3493
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May 24, 2022 -
Related data for: Topologically Organized Networks in the Claustrum Reflect Functional Modularization
Unknown - 53.9 MB -
MD5: 1cc34930ebe1384842563d06687e4d67
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May 24, 2022George J. AUGUSTINE
Research topics : - Claustrum topology and connectome - Claustrum cell types - BLA to CLA connectivity |
Jan 25, 2022 - Fang Yang
Smith, Helen Elizabeth; Fang, Yang, 2022, "Replication Data for: Retaining and re-engaging Singapore’s primary care doctors: a cross-sectional survey and qualitative analysis", https://doi.org/10.21979/N9/62LHEC, DR-NTU (Data), V1, UNF:6:uGhPaqwuBOgusckv209ksQ== [fileUNF]
Replication Data for: "Retaining and re-engaging Singapore’s primary care doctors: a cross-sectional survey and qualitative analysis" |
Jan 25, 2022 -
Replication Data for: Retaining and re-engaging Singapore’s primary care doctors: a cross-sectional survey and qualitative analysis
Tabular Data - 167.4 KB - 160 Variables, 355 Observations - UNF:6:uGhPaqwuBOgusckv209ksQ==
dataset |
Jan 25, 2022 -
Replication Data for: Retaining and re-engaging Singapore’s primary care doctors: a cross-sectional survey and qualitative analysis
MS Word - 40.0 KB -
MD5: 014bbb8ba03c11fd407939e7917a3f3e
questionnaire |
