University of Bergen

UiB Global Navigation Satellite System Data

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161 to 170 of 103,722 Results

Figure 2_stratigraphy.txt May 5, 2026 - Replication data for "Siderite concretions in Svalbard Lake sediments capture 7000 years of extreme Arctic cold season climate change" Plain Text - 300.7 KB - MD5: 3d757d95ed2802d484ef79dd3e32d5c8 All data plotted in figure 2: CT, XRF element, and MS scanning data, with HSI RABD845 values.
Figure 3_paleoclimate.txt May 5, 2026 - Replication data for "Siderite concretions in Svalbard Lake sediments capture 7000 years of extreme Arctic cold season climate change" 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.
Figure S1_concretions.txt May 5, 2026 - Replication data for "Siderite concretions in Svalbard Lake sediments capture 7000 years of extreme Arctic cold season climate change" 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.
Figure S3_ordination.txt May 5, 2026 - Replication data for "Siderite concretions in Svalbard Lake sediments capture 7000 years of extreme Arctic cold season climate change" 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.
Figure S4_wavelet.txt May 5, 2026 - Replication data for "Siderite concretions in Svalbard Lake sediments capture 7000 years of extreme Arctic cold season climate change" Plain Text - 8.3 MB - MD5: 5d6c425291634e2bfdd5fab56f06dad3 A table with the spectral power of cycles ranging between 2 and 3025 years for the entire 6680 year long record covered by the presented PC 2 data.
00_README.txt May 5, 2026 - Replication data for "Siderite concretions in Svalbard Lake sediments capture 7000 years of extreme Arctic cold season climate change" Plain Text - 8.1 KB - MD5: bb3e8115db0a58f4430570651e0e7522 Please read this file for additional context.
Figure S2_chronology.txt May 5, 2026 - Replication data for "Siderite concretions in Svalbard Lake sediments capture 7000 years of extreme Arctic cold season climate change" Plain Text - 175.3 KB - MD5: db1a8e9114427351b532af13d8ee47dc Key properties of the presented age-model that was generated in the R Bacon package, including median and mean calibrated age estimates per 200 micron depth interval, along with minimum and maximum uncertainty estimates (years).
Replication Data for "Geochemical and granulometric fingerprints of 8,200-year Westerly variability recorded in inner-fjord lake sediments from Central Svalbard" Apr 24, 2026 Stachowska, Zofia, 2026, "Replication Data for "Geochemical and granulometric fingerprints of 8,200-year Westerly variability recorded in inner-fjord lake sediments from Central Svalbard"", https://doi.org/10.18710/K3CDJJ, DataverseNO, V1 This dataset includes sediment analyses performed on core DST-2023-GC (78º27’N, 16º41’E, ~65 m a.s.l.) from Dunsappietjørna – a lake in Gipsdalen, Central Svalbard. The core was extracted during the summer of 2023 using a UWITEC gravity corer and analyzed throughout 2023-2025 to reconstruct the eolian signal in this sheltered inner-fjord-valley set...
00_Stach_2026_README.txt Apr 24, 2026 - Replication Data for "Geochemical and granulometric fingerprints of 8,200-year Westerly variability recorded in inner-fjord lake sediments from Central Svalbard" Plain Text - 35.3 KB - MD5: 4951bf4520f1fed79478b22095d82bdb
Stach_2026_Fig_S4_End_Member_abundance.txt Apr 24, 2026 - Replication Data for "Geochemical and granulometric fingerprints of 8,200-year Westerly variability recorded in inner-fjord lake sediments from Central Svalbard" Plain Text - 3.7 KB - MD5: eb62e6e939363e4d99f5af0c6e29fe59 This file contains the End Member Modelling Analysis (EMMA) output (Dietze et al., 2022; Paterson et al., 2015; Prins and Weltje, 1999), generated in AnalySize v. 1.2.2 in MATLAB via the non-parametric HALS-NMF algorithm (Paterson et al., 2015).

Figure 2_stratigraphy.txt

May 5, 2026 - Replication data for "Siderite concretions in Svalbard Lake sediments capture 7000 years of extreme Arctic cold season climate change"

Plain Text - 300.7 KB -

All data plotted in figure 2: CT, XRF element, and MS scanning data, with HSI RABD845 values.

Figure 3_paleoclimate.txt

May 5, 2026 - Replication data for "Siderite concretions in Svalbard Lake sediments capture 7000 years of extreme Arctic cold season climate change"

Plain Text - 229.5 KB -

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.

Figure S1_concretions.txt

May 5, 2026 - Replication data for "Siderite concretions in Svalbard Lake sediments capture 7000 years of extreme Arctic cold season climate change"

Plain Text - 126.5 KB -

All original data plotted in Figure S1: SEM-EDS and Raman spectra of selected concretions, along with Siderite mineral reference spectra.

Figure S3_ordination.txt

May 5, 2026 - Replication data for "Siderite concretions in Svalbard Lake sediments capture 7000 years of extreme Arctic cold season climate change"

Plain Text - 146.8 KB -

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.

Figure S4_wavelet.txt

May 5, 2026 - Replication data for "Siderite concretions in Svalbard Lake sediments capture 7000 years of extreme Arctic cold season climate change"

Plain Text - 8.3 MB -

A table with the spectral power of cycles ranging between 2 and 3025 years for the entire 6680 year long record covered by the presented PC 2 data.

00_README.txt

May 5, 2026 - Replication data for "Siderite concretions in Svalbard Lake sediments capture 7000 years of extreme Arctic cold season climate change"

Plain Text - 8.1 KB -

Please read this file for additional context.

Figure S2_chronology.txt

May 5, 2026 - Replication data for "Siderite concretions in Svalbard Lake sediments capture 7000 years of extreme Arctic cold season climate change"

Plain Text - 175.3 KB -

Key properties of the presented age-model that was generated in the R Bacon package, including median and mean calibrated age estimates per 200 micron depth interval, along with minimum and maximum uncertainty estimates (years).

Replication Data for "Geochemical and granulometric fingerprints of 8,200-year Westerly variability recorded in inner-fjord lake sediments from Central Svalbard"

Apr 24, 2026

Stachowska, Zofia, 2026, "Replication Data for "Geochemical and granulometric fingerprints of 8,200-year Westerly variability recorded in inner-fjord lake sediments from Central Svalbard"", https://doi.org/10.18710/K3CDJJ, DataverseNO, V1

This dataset includes sediment analyses performed on core DST-2023-GC (78º27’N, 16º41’E, ~65 m a.s.l.) from Dunsappietjørna – a lake in Gipsdalen, Central Svalbard. The core was extracted during the summer of 2023 using a UWITEC gravity corer and analyzed throughout 2023-2025 to reconstruct the eolian signal in this sheltered inner-fjord-valley set...

00_Stach_2026_README.txt

Apr 24, 2026 - Replication Data for "Geochemical and granulometric fingerprints of 8,200-year Westerly variability recorded in inner-fjord lake sediments from Central Svalbard"

Plain Text - 35.3 KB -

Stach_2026_Fig_S4_End_Member_abundance.txt

Apr 24, 2026 - Replication Data for "Geochemical and granulometric fingerprints of 8,200-year Westerly variability recorded in inner-fjord lake sediments from Central Svalbard"

Plain Text - 3.7 KB -

This file contains the End Member Modelling Analysis (EMMA) output (Dietze et al., 2022; Paterson et al., 2015; Prins and Weltje, 1999), generated in AnalySize v. 1.2.2 in MATLAB via the non-parametric HALS-NMF algorithm (Paterson et al., 2015).

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