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103,551 to 103,560 of 103,623 Results
Mar 24, 2026
Stavenes, Torill, 2026, "Replication Data for: Gender, Political Orientation, and Public Reactions to Ministerial Comebacks after Scandals", https://doi.org/10.18710/TTIVCO, DataverseNO, V1
This dataset can be used to replicate the findings in the paper ""Gender, Political Orientation, and Public Reactions to Ministerial Comebacks after Scandals" (abstract below). The data we analyse is a survey experiment fielded in the Norwegian Citizen Panel (round 29) with two treatments, which was preregistered in OSF, and which asks people the e...
May 5, 2026
van der Bilt, Willem; Csiszár, Barnabás; Bulinova, Marie; Rydland Pedersen, Leif-Erik; Rouillard, Alexandra; Thorseth, Ingunn; Røthe, Torgeir Opeland; Strzelecki, Mateusz C; Schomacker, Anders, 2026, "Replication data for "Siderite concretions in Svalbard Lake sediments capture 7000 years of extreme Arctic cold season climate change"", https://doi.org/10.18710/M3PWDV, DataverseNO, V1
All proxy measurements performed on core STU-P1 for the upcoming publication that was only available as a pre-print at the time of submission: https://doi.org/10.22541/essoar.176617193.36041880/v1 The Arctic warms faster than anywhere else on Earth, and paleoclimate data are key to place this amplified response in a long-term context. But most past...
Plain Text - 300.7 KB - MD5: 3d757d95ed2802d484ef79dd3e32d5c8
All data plotted in figure 2: CT, XRF element, and MS scanning data, with HSI RABD845 values.
Plain Text - 229.5 KB - MD5: 1d8bc6ea329992dd18ec1426a51f0efe
All data plotted in Figure 3 that was generated for this study: PCA PC 2 values, including the 1.5 ka cycle extracted from this timeseries with Wavelet analysis, as well as extremes that exceed 3σ from the mean.
Plain Text - 126.5 KB - MD5: ba539212e8596c47f9bfcadc4d96ef0c
All original data plotted in Figure S1: SEM-EDS and Raman spectra of selected concretions, along with Siderite mineral reference spectra.
Plain Text - 146.8 KB - MD5: 3a45e772d45051c25856cc2c17feafb2
Factor loadings and the percentage of variance explained by the two dominant PCs identified in Principal Component Analysis (PCA) of the data presented, along with down-core PC scores.
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