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131 to 140 of 23,887 Results
Dec 4, 2022
Ostafin, Krzysztof; Troll, Mateusz; Ślusarek, Krzysztof; Smaliychuk, Anatoliy; Miklar, Anna; Gwosdz, Krzysztof; Kolecka, Natalia; Kaim, Dominik, 2021, "Historical dataset of administrative units for Galicia 1857–1910", https://doi.org/10.7910/DVN/PXDP41, Harvard Dataverse, V3
Frequent changes in the administrative division of Galicia (in modern Ukraine and Poland), a 78,500 km2 former crown land of the Austrian monarchy, have made it difficult, if not impossible, to map socioeconomic data and spatial analyses for the entire region. However, the development of cartography and organisation of censuses since the mid-19th c...
Dec 2, 2022
Anonymous, 2021, "Replication Data for "Candidate Entry in a Non-Partisan Context: Evidence from Indonesia"", https://doi.org/10.7910/DVN/VNUQ9V, Harvard Dataverse, V2
Replication data for "Candidate Entry in a Non-Partisan Context: Evidence from Indonesia." Includes dataset and do file.
Nov 29, 2022 - Sustainable Urbanization Lab Dataverse
Chai, Yuchen, 2021, "Measuring daily-life fear perception change", https://doi.org/10.7910/DVN/8FOPNO, Harvard Dataverse, V2, UNF:6:FnHVRWa2OMmjeiLosq47cA== [fileUNF]
Data repository for the "Measuring daily-life fear perception change: a computational study in the context of COVID-19"
Nov 29, 2022
Wagner, Monica, 2021, "T-F data to native- and non-native phonological sequence onsets in nonwords", https://doi.org/10.7910/DVN/6SJ1MO, Harvard Dataverse, V2
The results shown include Time-Frequency analysis results (Inter-Trial Phase Locking -ITPL) and Temporal Spectral Evolution-TSE) on EEG data collected from 24 native-speaking Polish adults and 24 native-speaking English adults (BESA Research software). EEGs were collected as participants listened to same and different spoken nonword pairs in an att...
Nov 28, 2022
Qin, Jian; Hemsley, Jeff; Bratt, Sarah, 2021, "GenBank network assortative mixing vs. collaboration capacity", https://doi.org/10.7910/DVN/JDHB6V, Harvard Dataverse, V2
Data files for assortative mixing vs, collaboration capacity in GenBank combined networks in 2002 and 2012.
Nov 27, 2022
Galbiati, Roberto, 2021, "Replication Data for: When in Rome... on Local Norms and Sentencing Decisions", https://doi.org/10.7910/DVN/OVZCGE, Harvard Dataverse, V3, UNF:6:4EAk5aEX+ciehU6u8L5QRQ== [fileUNF]
This package contains the replication files for Abrams et al. JEEA
Nov 23, 2022
Andreas Kokkvoll Tveit; Jon Hovi; Øyvind Stiansen, 2021, "Replication Data for: Screening or Constraining? The Relationship between Participation and Compliance in CLRTAP Protocols", https://doi.org/10.7910/DVN/S8PITA, Harvard Dataverse, V2, UNF:6:4ii9JgRuZIxgmKa5Cwdh0w== [fileUNF]
Replication materials for "Screening or Constraining? The Relationship between Participation and Compliance in CLRTAP Protocols"
Nov 23, 2022 - Plasma Science and Fusion Center Dataverse
R.A. Tinguely, N. Fil, P.G. Puglia, S. Dowson, M. Porkolab, V. Guillemot, M. Podesta, M. Baruzzo, R. Dumont, A. Fasoli, M. Fitzgerald, Ye.O. Kazakov, M.F.F. Nave, M. Nocente, J. Ongena, S.E. Sharapov, Z. Stancar, JET Contributors, 2021, "A novel measurement of marginal Alfven Eigenmode stability during high power auxiliary heating in JET", https://doi.org/10.7910/DVN/HGBWIL, Harvard Dataverse, V2, UNF:6:JbDlKERYnkbMp383hRVryw== [fileUNF]
The interaction of Alfven Eigenmodes (AEs) and energetic particles is one of many important factors determining the success of future tokamaks. In JET, eight in-vessel antennas were installed to actively probe stable AEs with frequencies ranging 25-250 kHz and toroidal mode numbers |n| < 20. During the 2019-2020 deuterium campaign, almost 7500 reso...
Nov 18, 2022 - gfp@uic
Tang, Yu, 2021, "363_RhodGer", https://doi.org/10.7910/DVN/RLU2ZU, Harvard Dataverse, V2
Raw NMR data and HiFSA profiles associated with the publication: Y Tang, JB Friesen, D Lankin, J McAlpine, D Nikolic, S-N Chen, G Pauli Geraniol-Derived Monoterpenoid Glucosides from Rhodiola rosea: Resolving Structures by QM-HifSA Methodology Journal of Natural Products 86, 256–263 (2023) https://doi.org/10.1021/acs.jnatprod.2c00836
Nov 11, 2022 - Plasma Science and Fusion Center Dataverse
Abhilash Mathews, Manaure Francisquez, Jerry Hughes, David Hatch, Ben Zhu, Barrett Rogers, 2021, "Uncovering turbulent plasma dynamics via deep learning from partial observations", https://doi.org/10.7910/DVN/JNMLN2, Harvard Dataverse, V2
One of the most intensely studied aspects of magnetic confinement fusion is edge plasma turbulence which is critical to reactor performance and operation. Drift-reduced Braginskii two-fluid theory has for decades been widely applied to model boundary plasmas with varying success. Towards better understanding edge turbulence in both theory and exper...
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