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  <title>Stages of turbulence generation and decay in a T-shaped mixer</title>
  <link>http://hfffhb11fd88cee10443bswcqpqovnwvk06bwu.ffgi.hlju.cwkeji.cn/10.1594/PANGAEA.997505</link>
  <dc:identifier>http://hfffhb11fd88cee10443bswcqpqovnwvk06bwu.ffgi.hlju.cwkeji.cn/10.1594/PANGAEA.997505</dc:identifier>
  <dc:creator>Zamani Asl, MM; Avila, M</dc:creator>
  <dc:publisher>PANGAEA</dc:publisher>
  <dc:description>Despite its widespread use as a model configuration for investigating mixing processes in chemical engineering, the turbulent regime of the T-shaped mixer remains relatively unexplored, in contrast to its well-documented transitional behaviour. To address this gap, we perform direct numerical simulations at Reynolds numbers up to Re = 2000 with a Schmidt number of Sc = 1. The results reveal a streamwise evolution characterised by two distinct regions before the flow approaches a fully developed duct-flow state. In the vicinity of the junction, the dynamics are dominated by a jet-like structure that displays approximate self-similarity resembling that of transitional planar jets. Downstream of this region, turbulence undergoes a decay process in which turbulent kinetic energy, dissipation, and scalar variance exhibit power-law scaling. […]</dc:description>
  <dc:type>Dataset</dc:type>
  <dc:language>en</dc:language>
  <dc:rights>Copyright</dc:rights>
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<td valign="top">
<em>Abstract:</em> </td>
<td valign="top">Despite its widespread use as a model configuration for investigating mixing processes in chemical engineering, the turbulent regime of the T-shaped mixer remains relatively unexplored, in contrast to its well-documented transitional behaviour. To address this gap, we perform direct numerical simulations at Reynolds numbers up to Re = 2000 with a Schmidt number of Sc = 1. The results reveal a streamwise evolution characterised by two distinct regions before the flow approaches a fully developed duct-flow state. In the vicinity of the junction, the dynamics are dominated by a jet-like structure that displays approximate self-similarity resembling that of transitional planar jets. Downstream of this region, turbulence undergoes a decay process in which turbulent kinetic energy, dissipation, and scalar variance exhibit power-law scaling. […]</td>
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<tr>
<td valign="top">
<em>Size:</em> </td>
<td valign="top">6 data points</td>
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  <title>Analytical data of floodplain, colluvial, Triassic (Buntsandstein), Lopingian (Zechstein) and Pleistocene loess data from the Weiße Elster catchment (Central Germany)</title>
  <link>http://hfffhb11fd88cee10443bswcqpqovnwvk06bwu.ffgi.hlju.cwkeji.cn/10.1594/PANGAEA.997864</link>
  <dc:identifier>http://hfffhb11fd88cee10443bswcqpqovnwvk06bwu.ffgi.hlju.cwkeji.cn/10.1594/PANGAEA.997864</dc:identifier>
  <dc:creator>von Suchodoletz, H; Khosravichenar, A; Miera, J et al.</dc:creator>
  <dc:publisher>PANGAEA</dc:publisher>
  <dc:description>In this dataset, we present grain size and XRF element data of Holocene floodplain and colluvial, Pleistocene loess and Triassic (Buntsandstein) samples from the catchment of the Weiße Elster River (Central Germany). The samples were taken during the DFG-funded project 'Imprints of rapid climate changes and human activity on Holocene hydro-sedimentary dynamics in Central Europe (loess-covered Weiße Elster model region)' [SU491/6-1, ET20/10-1, VE117/7-1, WE5518/1-1, ZI721/13-1] between 2017 - 2025, using open outcrops, hand augering (Pürckhauer) or drilling with an Atlas Copco Cobra Pro hammer. The goal of this study was to obtain sediment provenance for Holocene overbank sediments in the middle Weiße Elster floodplain.</dc:description>
  <dc:type>Dataset</dc:type>
  <dc:language>en</dc:language>
  <dc:rights>Copyright</dc:rights>
  <georss:box>50.4273922 11.95125 51.041178 12.121858</georss:box>
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<td valign="top">
<em>Abstract:</em> </td>
<td valign="top">In this dataset, we present grain size and XRF element data of Holocene floodplain and colluvial, Pleistocene loess and Triassic (Buntsandstein) samples from the catchment of the Weiße Elster River (Central Germany). The samples were taken during the DFG-funded project 'Imprints of rapid climate changes and human activity on Holocene hydro-sedimentary dynamics in Central Europe (loess-covered Weiße Elster model region)' [SU491/6-1, ET20/10-1, VE117/7-1, WE5518/1-1, ZI721/13-1] between 2017 - 2025, using open outcrops, hand augering (Pürckhauer) or drilling with an Atlas Copco Cobra Pro hammer. The goal of this study was to obtain sediment provenance for Holocene overbank sediments in the middle Weiße Elster floodplain.</td>
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<td valign="top">
<em>Size:</em> </td>
<td valign="top">24816 data points</td>
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  <title>Carbon system parameters in the Baltic Sea from 2003 to 2023 using IOW monitoring data</title>
  <link>http://hfffhb11fd88cee10443bswcqpqovnwvk06bwu.ffgi.hlju.cwkeji.cn/10.1594/PANGAEA.983971</link>
  <dc:identifier>http://hfffhb11fd88cee10443bswcqpqovnwvk06bwu.ffgi.hlju.cwkeji.cn/10.1594/PANGAEA.983971</dc:identifier>
  <dc:creator>Lencina-Avila, JM; Otto, S; Kuss, J et al.</dc:creator>
  <dc:publisher>PANGAEA</dc:publisher>
  <dc:description>The saturation status of calcium carbonate forms was calculated as part of the CDRmare RETAKE project effort to assess potentials and impacts for using alkalinity enhancement to enhance the capture of atmospheric carbon dioxide (CO2). Therefore, this data set is a compilation of carbonate system parameters measured during the monitoring cruises of the Leibniz Institute for Baltic Sea Research Warnemünde (IOW) in the Baltic Sea from 2003 to 2023. Ancillary data was retrieved using the IOW's ODIN2 data tool accordingly. The following permanent link allows one to search and extract the data using our settings: http://hfffhf7958331196b483fswcqpqovnwvk06bwu.ffgi.hlju.cwkeji.cn/957-0489-676. We paired the carbonate and ancillary (nutrient and hydrogen sulfide, H2S, data) data by selecting the respective cruise, station, timestamp, and depth. […]</dc:description>
  <dc:type>Dataset</dc:type>
  <dc:language>en</dc:language>
  <dc:rights>Copyright</dc:rights>
  <georss:box>54.9241 13.4986 58.0015 20.1409</georss:box>
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<table border="0" cellspacing="0">
<tr>
<td valign="top">
<em>Abstract:</em> </td>
<td valign="top">The saturation status of calcium carbonate forms was calculated as part of the CDRmare RETAKE project effort to assess potentials and impacts for using alkalinity enhancement to enhance the capture of atmospheric carbon dioxide (CO2). Therefore, this data set is a compilation of carbonate system parameters measured during the monitoring cruises of the Leibniz Institute for Baltic Sea Research Warnemünde (IOW) in the Baltic Sea from 2003 to 2023. Ancillary data was retrieved using the IOW's ODIN2 data tool accordingly. The following permanent link allows one to search and extract the data using our settings: http://hfffhf7958331196b483fswcqpqovnwvk06bwu.ffgi.hlju.cwkeji.cn/957-0489-676. We paired the carbonate and ancillary (nutrient and hydrogen sulfide, H2S, data) data by selecting the respective cruise, station, timestamp, and depth. […]</td>
</tr>
<tr>
<td valign="top">
<em>Size:</em> </td>
<td valign="top">85285 data points</td>
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  <title>Palynomorph concentrations from the Gelasian GSSP at the Monte San Nicola type section (Mediterranean Basin, Sicily)</title>
  <link>http://hfffhb11fd88cee10443bswcqpqovnwvk06bwu.ffgi.hlju.cwkeji.cn/10.1594/PANGAEA.995290</link>
  <dc:identifier>http://hfffhb11fd88cee10443bswcqpqovnwvk06bwu.ffgi.hlju.cwkeji.cn/10.1594/PANGAEA.995290</dc:identifier>
  <dc:creator>Bertini, A; Tabbabi, H; Niccolini, G</dc:creator>
  <dc:publisher>PANGAEA</dc:publisher>
  <dc:date>2026-10-16T12:19:23</dc:date>
  <dc:description>This dataset presents palynological data obtained from the Monte San Nicola type section (Sicily, Italy, Mediterranean Basin), which hosts the Global Boundary Stratotype Section and Point (GSSP) for the base of the Quaternary. The data were collected within the framework of the informal GELSTRAT Working Group of the Subcommission on Quaternary Stratigraphy (SQS, International Commission on Stratigraphy, ICS). The palynological record spans a key interval in Earth's history corresponding to the intensification of Northern Hemisphere glaciation (ca. 2.7-2.5 Ma), encompassing the section where the GSSP for the base of the Quaternary is defined. Pollen grains and non-pollen palynomorphs were identified and counted following standard palynological procedures. The dataset includes concentration values for the main pollen taxa and ecological groups, as well as for non-pollen palynomorphs. […]</dc:description>
  <dc:type>Dataset</dc:type>
  <dc:language>en</dc:language>
  <dc:rights>Copyright</dc:rights>
  <georss:point>37.1469 14.2035</georss:point>
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<table border="0" cellspacing="0">
<tr>
<td valign="top">
<em>Abstract:</em> </td>
<td valign="top">This dataset presents palynological data obtained from the Monte San Nicola type section (Sicily, Italy, Mediterranean Basin), which hosts the Global Boundary Stratotype Section and Point (GSSP) for the base of the Quaternary. The data were collected within the framework of the informal GELSTRAT Working Group of the Subcommission on Quaternary Stratigraphy (SQS, International Commission on Stratigraphy, ICS). The palynological record spans a key interval in Earth's history corresponding to the intensification of Northern Hemisphere glaciation (ca. 2.7-2.5 Ma), encompassing the section where the GSSP for the base of the Quaternary is defined. Pollen grains and non-pollen palynomorphs were identified and counted following standard palynological procedures. The dataset includes concentration values for the main pollen taxa and ecological groups, as well as for non-pollen palynomorphs. […]</td>
</tr>
<tr>
<td valign="top">
<em>Size:</em> </td>
<td valign="top">4758 data points</td>
</tr>
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  <title>Relative abundance of pollen from the Gelasian GSSP at the Monte San Nicola type section (Mediterranean Basin, Sicily)</title>
  <link>http://hfffhb11fd88cee10443bswcqpqovnwvk06bwu.ffgi.hlju.cwkeji.cn/10.1594/PANGAEA.995289</link>
  <dc:identifier>http://hfffhb11fd88cee10443bswcqpqovnwvk06bwu.ffgi.hlju.cwkeji.cn/10.1594/PANGAEA.995289</dc:identifier>
  <dc:creator>Bertini, A; Tabbabi, H; Niccolini, G</dc:creator>
  <dc:publisher>PANGAEA</dc:publisher>
  <dc:date>2026-10-16T12:19:23</dc:date>
  <dc:description>This dataset presents palynological data obtained from the Monte San Nicola type section (Mediterranean Basin, Italy, Sicily), which hosts the Global boundary Stratotype Section and Point (GSSP) for the base of the Quaternary. The data were collected within the framework of the informal GELSTRAT working group of the Subcommission on Quaternary Stratigraphy (SQS, ICS). The pollen record spans a key interval in Earth's history corresponding to the intensification of Northern Hemisphere glaciation (ca. 2.7-2.5 Ma) in the section where the Global boundary Stratotype Section and Point (GSSP) for the base of the Quaternary is defined. Pollen grains were identified and counted following standard palynological procedures. The dataset includes percentages for the identified taxa and ecological informal groups. […]</dc:description>
  <dc:type>Dataset</dc:type>
  <dc:language>en</dc:language>
  <dc:rights>Copyright</dc:rights>
  <georss:point>37.1469 14.2035</georss:point>
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<table border="0" cellspacing="0">
<tr>
<td valign="top">
<em>Abstract:</em> </td>
<td valign="top">This dataset presents palynological data obtained from the Monte San Nicola type section (Mediterranean Basin, Italy, Sicily), which hosts the Global boundary Stratotype Section and Point (GSSP) for the base of the Quaternary. The data were collected within the framework of the informal GELSTRAT working group of the Subcommission on Quaternary Stratigraphy (SQS, ICS). The pollen record spans a key interval in Earth's history corresponding to the intensification of Northern Hemisphere glaciation (ca. 2.7-2.5 Ma) in the section where the Global boundary Stratotype Section and Point (GSSP) for the base of the Quaternary is defined. Pollen grains were identified and counted following standard palynological procedures. The dataset includes percentages for the identified taxa and ecological informal groups. […]</td>
</tr>
<tr>
<td valign="top">
<em>Size:</em> </td>
<td valign="top">6238 data points</td>
</tr>
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  <title>Vertical profiles of the attenuation coefficient at 442 nm in Estonian coastal and Baltic Sea waters, 2024–2025</title>
  <link>http://hfffhb11fd88cee10443bswcqpqovnwvk06bwu.ffgi.hlju.cwkeji.cn/10.1594/PANGAEA.997929</link>
  <dc:identifier>http://hfffhb11fd88cee10443bswcqpqovnwvk06bwu.ffgi.hlju.cwkeji.cn/10.1594/PANGAEA.997929</dc:identifier>
  <dc:creator>Argus, L; Kutser, T; Toming, K et al.</dc:creator>
  <dc:publisher>PANGAEA</dc:publisher>
  <dc:description>This dataset contains vertical measurements of the attenuation coefficient at 442 nm collected in Estonian coastal waters and the Baltic Sea during four monitoring cruises in 2024–2025. Measurements are linked to station and date identifiers and include measurement depth and attenuation coefficient c(442), reported in m⁻¹. The data represent vertical variability in the inherent optical properties of Baltic Sea waters.</dc:description>
  <dc:type>Dataset</dc:type>
  <dc:language>en</dc:language>
  <dc:rights>Copyright</dc:rights>
  <georss:box>57.66893 20.320605 59.91851 28.001833</georss:box>
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<table border="0" cellspacing="0">
<tr>
<td valign="top">
<em>Abstract:</em> </td>
<td valign="top">This dataset contains vertical measurements of the attenuation coefficient at 442 nm collected in Estonian coastal waters and the Baltic Sea during four monitoring cruises in 2024–2025. Measurements are linked to station and date identifiers and include measurement depth and attenuation coefficient c(442), reported in m⁻¹. The data represent vertical variability in the inherent optical properties of Baltic Sea waters.</td>
</tr>
<tr>
<td valign="top">
<em>Size:</em> </td>
<td valign="top">459321 data points</td>
</tr>
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  <title>Spectral attenuation coefficient measurements of Baltic Sea water from Estonian coastal and offshore waters, 2024–2025</title>
  <link>http://hfffhb11fd88cee10443bswcqpqovnwvk06bwu.ffgi.hlju.cwkeji.cn/10.1594/PANGAEA.997928</link>
  <dc:identifier>http://hfffhb11fd88cee10443bswcqpqovnwvk06bwu.ffgi.hlju.cwkeji.cn/10.1594/PANGAEA.997928</dc:identifier>
  <dc:creator>Argus, L; Kutser, T; Toming, K et al.</dc:creator>
  <dc:publisher>PANGAEA</dc:publisher>
  <dc:description>This dataset contains spectral attenuation coefficient measurements of water collected in Estonian coastal waters and the Baltic Sea during four monitoring cruises in 2024–2025. Attenuation coefficients are reported spectrally in m⁻¹ together with salinity and temperature associated with the measurements. The measurements characterize the inherent optical properties of Baltic Sea waters and support the validation and interpretation of optical remote-sensing observations.</dc:description>
  <dc:type>Dataset</dc:type>
  <dc:language>en</dc:language>
  <dc:rights>Copyright</dc:rights>
  <georss:box>57.66893 20.320605 59.91851 28.001833</georss:box>
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<table border="0" cellspacing="0">
<tr>
<td valign="top">
<em>Abstract:</em> </td>
<td valign="top">This dataset contains spectral attenuation coefficient measurements of water collected in Estonian coastal waters and the Baltic Sea during four monitoring cruises in 2024–2025. Attenuation coefficients are reported spectrally in m⁻¹ together with salinity and temperature associated with the measurements. The measurements characterize the inherent optical properties of Baltic Sea waters and support the validation and interpretation of optical remote-sensing observations.</td>
</tr>
<tr>
<td valign="top">
<em>Size:</em> </td>
<td valign="top">21420 data points</td>
</tr>
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  <title>Vertical profiles of the absorption coefficient at 442 nm in Estonian coastal and Baltic Sea waters, 2024–2025</title>
  <link>http://hfffhb11fd88cee10443bswcqpqovnwvk06bwu.ffgi.hlju.cwkeji.cn/10.1594/PANGAEA.997927</link>
  <dc:identifier>http://hfffhb11fd88cee10443bswcqpqovnwvk06bwu.ffgi.hlju.cwkeji.cn/10.1594/PANGAEA.997927</dc:identifier>
  <dc:creator>Argus, L; Kutser, T; Toming, K et al.</dc:creator>
  <dc:publisher>PANGAEA</dc:publisher>
  <dc:description>This dataset contains vertical measurements of the absorption coefficient at 442 nm collected in Estonian coastal waters and the Baltic Sea during four monitoring cruises in 2024–2025. Measurements are linked to station and date identifiers and include measurement depth and absorption coefficient a(442), reported in m⁻¹. The data represent vertical variability in the inherent optical properties of Baltic Sea waters.</dc:description>
  <dc:type>Dataset</dc:type>
  <dc:language>en</dc:language>
  <dc:rights>Copyright</dc:rights>
  <georss:box>57.66893 20.320605 59.91851 28.001833</georss:box>
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<table border="0" cellspacing="0">
<tr>
<td valign="top">
<em>Abstract:</em> </td>
<td valign="top">This dataset contains vertical measurements of the absorption coefficient at 442 nm collected in Estonian coastal waters and the Baltic Sea during four monitoring cruises in 2024–2025. Measurements are linked to station and date identifiers and include measurement depth and absorption coefficient a(442), reported in m⁻¹. The data represent vertical variability in the inherent optical properties of Baltic Sea waters.</td>
</tr>
<tr>
<td valign="top">
<em>Size:</em> </td>
<td valign="top">450781 data points</td>
</tr>
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  <title>Spectral absorption coefficient measurements of Baltic Sea water from Estonian coastal and offshore waters, 2024–2025</title>
  <link>http://hfffhb11fd88cee10443bswcqpqovnwvk06bwu.ffgi.hlju.cwkeji.cn/10.1594/PANGAEA.997926</link>
  <dc:identifier>http://hfffhb11fd88cee10443bswcqpqovnwvk06bwu.ffgi.hlju.cwkeji.cn/10.1594/PANGAEA.997926</dc:identifier>
  <dc:creator>Argus, L; Kutser, T; Toming, K et al.</dc:creator>
  <dc:publisher>PANGAEA</dc:publisher>
  <dc:description>This dataset contains spectral absorption coefficient measurements of water collected in Estonian coastal waters and the Baltic Sea during four monitoring cruises in 2024–2025. Absorption coefficients are reported spectrally in m⁻¹ together with salinity and temperature associated with the measurements. The data describe the inherent optical properties of Baltic Sea waters and provide in situ observations for the interpretation and validation of optical remote-sensing products.</dc:description>
  <dc:type>Dataset</dc:type>
  <dc:language>en</dc:language>
  <dc:rights>Copyright</dc:rights>
  <georss:box>57.66893 20.320605 59.91851 28.001833</georss:box>
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<table border="0" cellspacing="0">
<tr>
<td valign="top">
<em>Abstract:</em> </td>
<td valign="top">This dataset contains spectral absorption coefficient measurements of water collected in Estonian coastal waters and the Baltic Sea during four monitoring cruises in 2024–2025. Absorption coefficients are reported spectrally in m⁻¹ together with salinity and temperature associated with the measurements. The data describe the inherent optical properties of Baltic Sea waters and provide in situ observations for the interpretation and validation of optical remote-sensing products.</td>
</tr>
<tr>
<td valign="top">
<em>Size:</em> </td>
<td valign="top">21250 data points</td>
</tr>
</table>
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  <title>Depth-resolved fluorescence measurements of chlorophyll-a, coloured dissolved organic matter and phycocyanin in Estonian coastal and Baltic Sea waters, 2024–2025</title>
  <link>http://hfffhb11fd88cee10443bswcqpqovnwvk06bwu.ffgi.hlju.cwkeji.cn/10.1594/PANGAEA.997925</link>
  <dc:identifier>http://hfffhb11fd88cee10443bswcqpqovnwvk06bwu.ffgi.hlju.cwkeji.cn/10.1594/PANGAEA.997925</dc:identifier>
  <dc:creator>Argus, L; Kutser, T; Toming, K et al.</dc:creator>
  <dc:publisher>PANGAEA</dc:publisher>
  <dc:description>This dataset contains depth-resolved fluorescence measurements collected in Estonian coastal waters and the Baltic Sea during four monitoring cruises in 2024–2025. Measurements were obtained with three TriOS microFLU instruments for chlorophyll-a, coloured dissolved organic matter (CDOM) and phycocyanin. Measurements were recorded at approximately 1 s intervals at multiple depths. For each measurement depth, minimum, maximum, mean, median, standard deviation and the number of observations are provided. The data characterize vertical variability in optically active constituents and phytoplankton-related fluorescence signals.</dc:description>
  <dc:type>Dataset</dc:type>
  <dc:language>en</dc:language>
  <dc:rights>Copyright</dc:rights>
  <georss:box>57.671548 20.320605 59.91851 28.001833</georss:box>
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<table border="0" cellspacing="0">
<tr>
<td valign="top">
<em>Abstract:</em> </td>
<td valign="top">This dataset contains depth-resolved fluorescence measurements collected in Estonian coastal waters and the Baltic Sea during four monitoring cruises in 2024–2025. Measurements were obtained with three TriOS microFLU instruments for chlorophyll-a, coloured dissolved organic matter (CDOM) and phycocyanin. Measurements were recorded at approximately 1 s intervals at multiple depths. For each measurement depth, minimum, maximum, mean, median, standard deviation and the number of observations are provided. The data characterize vertical variability in optically active constituents and phytoplankton-related fluorescence signals.</td>
</tr>
<tr>
<td valign="top">
<em>Size:</em> </td>
<td valign="top">20291 data points</td>
</tr>
</table>
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