601 to 610 of 59,353 Results
Sep 11, 2026 -
Cascading_Effects_of_Defeat_Behavior_and_Outcomes_Dataset
PNG Image - 5.1 MB -
MD5: 46611c70a3348737f6082756be75bb16
Dorsal scan of beetle with identity 3DZ. Elytra length measured using imageJ from this image. |
Sep 11, 2026 -
Cascading_Effects_of_Defeat_Behavior_and_Outcomes_Dataset
PNG Image - 5.3 MB -
MD5: c4d0c0fb48a60a990ff2bc38c9c6d392
Dorsal scan of beetle with identity 3FG. Elytra length measured using imageJ from this image. |
Sep 11, 2026 -
Cascading_Effects_of_Defeat_Behavior_and_Outcomes_Dataset
MPEG-4 Video - 739.0 MB -
MD5: 4d3855c3780a1086737deb74eb3b8653
Example video of 12 simultaneous trials from 2022-08-01. Trials from boxes 2, 3, 5, 6, 7, 9, 10 and 12 were used in our final dataset. |
Sep 11, 2026 -
Cascading_Effects_of_Defeat_Behavior_and_Outcomes_Dataset
Plain Text - 8.4 KB -
MD5: f5e2387e64bdb7e5150163637e08ac43
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Sep 11, 2026 - UVA Researchers on Harvard Dataverse
Aliprantis, Dionissi; Carroll, Daniel R.; Young, Eric R, 2026, "Replication Data for: The Dynamics of the Racial Wealth Gap", https://doi.org/10.7910/DVN/VZHWHV
This package contains the code and model output that reproduce every figure and table in "The Dynamics of the Racial Wealth Gap" (Aliprantis, Carroll, and Young, International Economic Review). The paper studies the dynamics of the racial wealth gap (the wealth of Black households relative to white ones) using a dynamic equilibrium model of overlap...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Sep 7, 2026 - Personick Research Group
Halford, Gabriel C.; Hertle, Sebastian; Obedin, Katrina L.; Sublett, Abigail M.; Harmon, Kaelyn M.; VanGelder, Lauren E.; Personick, Michelle L., 2026, "Replication Data for: "Accessible Chemical Benchmarking of Nanoparticle Growth using Oxidation-Reduction Potential Sensors"", https://doi.org/10.18130/V3/5NDGAM, University of Virginia Dataverse, V1, UNF:6:rxExmM7l+/YHCIA8hv5i0Q== [fileUNF]
This published work was based in part upon work supported by the National Science Foundation under Grant No. CHE-2406130 (Au, (Ag)Au, and Pd nanoparticles) and on work supported by the U.S. Department of Energy, Office of Science under Grant No. DE-SC0024862 (Cu nanoparticles). The data underlying the published work have been made publicly availabl... |
Sep 7, 2026 -
Replication Data for: "Accessible Chemical Benchmarking of Nanoparticle Growth using Oxidation-Reduction Potential Sensors"
Tabular Data - 789.9 KB - 1 Variables, 30789 Observations - UNF:6:NsW141aWkldvPC+s6yzCVw==
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Sep 7, 2026 -
Replication Data for: "Accessible Chemical Benchmarking of Nanoparticle Growth using Oxidation-Reduction Potential Sensors"
Comma Separated Values - 724.8 KB -
MD5: 067bdfbf958785c51fa8ff7346d40d54
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Sep 7, 2026 -
Replication Data for: "Accessible Chemical Benchmarking of Nanoparticle Growth using Oxidation-Reduction Potential Sensors"
Comma Separated Values - 50.7 KB -
MD5: ddb5c3f388386e6e98ce559710928b18
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Sep 7, 2026 -
Replication Data for: "Accessible Chemical Benchmarking of Nanoparticle Growth using Oxidation-Reduction Potential Sensors"
Tabular Data - 221.6 KB - 6 Variables, 3697 Observations - UNF:6:tdDTUKZ0E7s+Mk3/TRRmUA==
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