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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Jong, Dirk; Bröder, Lisa; Tesi, Tommaso; Tanski, George; +6 Authors

    This study aims to give insight into the processes affecting permafrost organic carbon (OC) during transport from its source to its sink, through a study on three sediment fractions along a land-to-ocean transect. Material was followed from thawing permafrost, through a dynamic 'disturbed zone' and the nearshore zone, to an enclosed basin offshore Herschel Island - Qikiqtaruk, to assess sorting and degradation processes on specific fractions of sediment OC. Sediment, soil and permafrost samples were taken along a transect from the source (undisturbed active layer and permafrost), via two transitional zones (a terrestrial disturbed zone, i.e. the 'scar zone' of the RTS, and the marine nearshore zone up to a water depth of 5 m), to sink (basin sediment, water depth >20 m) at the coast of Herschel Island – Qikiqtaruk and the (semi-enclosed) Herschel Basin in Yukon, Canada, just west of the Mackenzie River delta. Samples were taken in May 2016 and July 2017. Sample material was fractionated with an aqueous (MilliQ) solution of sodium polytungstate (SPT; Na6[H2W12O40]), with a density of 1.8 g cm³, followed by wet-sieving over a 63 µm mesh, thus separating loose OC from mineral-associated OC. Each fraction was analysed for element content (TOC, TN), carbon isotopes (δ¹³C, Δ¹⁴C), molecular biomarkers (n-alkanes, n-alkanoic acids, lignin phenols, cutin acids), and mineral surface area. The relative abundance of specific biomarkers can also be used as indicator for degradation of organic carbon. Furthermore, the OC 'loading' (concentration of OC normalised to mineral surface area; in mgOC/m²) and terrestrial biomarker loading (µgOC/m²) can be used to assess loss of (permafrost) OC from mineral particles. The combination of these methods allows us to disentangle sorting processes from degradation of OC along the land-to-ocean continuum, and provides a detailed insight into the fate of thawed and eroded permafrost OC.

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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    Authors: Pérez-Martínez, Carmen; Ramos-Rodríguez, Eloísa; Conde-Porcuna, José M; Moreno, Emilio; +2 Authors

    This dataset presents relative abundance data of subfossil cladoceran remains obtained from sediment cores retrieved from six lakes at Sierra Nevada Mountains (Granada, Spain) during 2008 and 2011. The files show data over the past 180 years approximately. Sediment cores were taken from the deepest part of the lake by a slide-hammer gravity corer (Aquatic Research Instruments, USA), with a 6.9 cm inner diameter during the summer of 2011, except for Río Seco Lake core which was sampled in 2008. The cores were sectioned on-site into 0.25 cm thick layers for the upper sections of the cores and into 0.5 cm intervals for the remainder of the cores, except for Río Seco Lake core which was sectioned at 0.5 cm contiguous intervals for the entire core length. Sediment cores were dated using gamma spectrometry (DSPec, Ortec®) techniques by measuring activities of radioisotopes (210Pb, 214Bi and 137Cs) and sediment ages were estimated from unsupported 210Pb activities using the constant rate of supply (CRS) model. Cladoceran samples were processed by heating them in 10% KOH and sieved through a 38 µm mesh. The samples were mounted onto microscope slides using glycerol gelatin dyed with safranin. A minimum of 200 remains were identified and enumerated from each sediment interval under a light microscope at 200x magnification.

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    Authors: Pinho, Tainã Marcos Lima; Chiessi, Cristiano Mazur; Campos, Marília C; Portilho-Ramos, Rodrigo Costa; +9 Authors

    To comprehensively document the δ13C content of the South Atlantic Central Water (SACW), we used high-resolution thermocline-dwelling foraminiferal δ13C data obtained from three distinct marine sediment cores situated in the NW, SW, and SE regions of the South Atlantic. Our dataset enables a comprehensive examination of millennial-scale variations in SACW δ13C content across the entire basin. Notably, the thermocline δ13C records from the SE and NW sectors of the South Atlantic consistently exhibit concurrent negative excursions during most of the Heinrich Stadials (HS), a pattern that contrasts sharply with the absence of such negative excursions in the thermocline δ13C record from the SW sector of the South Atlantic

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    Authors: Pasquale Pagano; Sara Pittonet; Federico Drago; Maria Giuffrida;

    There are several research infrastructures or other data services running in Europe that cover a multitude of marine-related sciences, providing specific datasets coming from observations collected with different methods. These infrastructures constitute a diverse world, each looking at a piece of the big picture, sometimes hindering collaboration and data sharing. Blue-Cloud aims to overcome fragmentation and build a bridge between thematic science clusters - such as marine, climate, food and agriculture sciences - and EOSC, creating a data federation and providing a common access to a so-called thematic EOSC for marine data. By connecting leading marine data management infrastructures with horizontal e-infrastructures, the project aims to maximise the exploitation of data resources available from different sources. The Blue-Cloud framework consists of two major technical components: (1) a Blue-Cloud Data Discovery and Access service, already presented in a previous EOSC in practice story, to serve federated discovery and access to blue data infrastructures, and (2) a Blue-Cloud Virtual Research Environment (VRE) to provide computing platforms and analytical services facilitating the collaboration between researchers, which is detailed hereafter. The Blue-Cloud VRE is powered by the D4Science Infrastructure. [M. Assante et al. (2019) Enacting open science by D4Science. Future Gener. Comput. Syst. 101: 555-563 10.1016/j.future.2019.05.063 ] The full list of EOSC in practice stories is available here

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Sarradin, Pierre-Marie; Matabos, Marjolaine; Gautier, Laurent;

    Momarsat 2022 cruise report: summary of dives and operations, and position of moorings and observation infrastructures and sampling locations

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    https://doi.org/10.5281/zenodo...
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      https://doi.org/10.5281/zenodo...
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    Authors: Yang, Yang; Proud, Roland; Castellón, Arturo; Sabatés, Ana; +2 Authors

    These data consist of both underway and station echosounder observations collected during the 2020 SUMMER (Sustainable Management of Mesopelagic Resources) Mediterranean cruise (30 September 2020 to 18 October 2020) on the RV Sarmiento de Gamboa. Narrowband (18, 38, 70, 120, 200 kHz) underway acoustic data were collected continuously using hull-mounted Simrad EK80 echosounders. The recording depths for the 5 frequencies were 1000, 1000, 750, 500, and 200 m respectively. Calibrations were carried out on the 1st of October 2020 using a 33 mm tungsten sphere,and the calibration results were applied to the instruments. During the survey, a Simrad wideband autonomous receiver (WBAT) was deployed down to a depth of 500 m whilst on station. In total, 31 drops were carried out at 5 stations. Four transducers (central frequencies were 45, 120, 200, 333 kHz) were operated using the WBAT in frequency modulated (FM) mode (bandwidth ranging from 45 to 445 kHz). The WBAT calibration data were collected using a 33 mm tungsten sphere. During the deployment of the WBAT, the hull-mounted EK80 was switched to FM mode to record broadband measurements. Raw power (W), number of transducer segments and transceiver impedance (Ohm) were stored in raw proprietary Simrad format (.raw, .idx).

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    Authors: Giesche, Alena; Hodell, David A; Petrie, Cameron A; Haug, Gerald H; +7 Authors

    A 25-cm long predominantly aragonite stalagmite was collected November 2, 2005 from Dharamjali Cave (29.5°N, 80.2°E) in the central Himalayas. This dataset contains stable isotope, trace element, XRF, U/Th dating, and dripwater data. The age model spans 4.2 to 2.3 ka BP, and the dataset records seasonal shifts in hydroclimate from 4.2 to 3.1 ka BP. Using the DHAR-1A half of the speleothem, 750 samples were milled at 100–300 µm resolution for stable isotope analysis (δ18O and δ13C) and analyzed at GFZ Potsdam. Further high-resolution stable isotope analysis at the University of Cambridge included 876 samples from the bottom 4 cm of the mirroring slab DHAR-1B, covering c. 4.2–3.6 ka BP. The δ44/40Ca measurements were made on 60 aragonite samples of aragonite and 1 calcite sample milled between 4.2 and 2.8 ka BP. The elemental composition of DHAR-1B was determined first with an Avaatech XRF scanner at the University of Cambridge, and later using laser ablation inductively-coupled plasma mass spectrometry (LA-ICP-MS) at the University of Waikato. U-series dating was performed at Caltech on 22 samples. Twelve U-series ages (between 2.55 and 4.14 ka BP) were used to construct the age models, using ensembles of 2000 Monte Carlo simulations for each proxy using the MATLAB-based COPRA script (Breitenbach et al., 2012, https://doi.org/10.5194/cp-8-1765-2012).

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    Authors: Brugnara, Yuri; Horn, Michael; Salvador, Isabella;

    We provide two instrumental records of air pressure and temperature for the Alpine cities of Rovereto and Bolzano/Bozen, covering the periods 1800-1839 and 1842-1849, respectively. They were measured by two physics teachers and digitized at the University of Bern from a handwritten weather diary and a local newspaper. In addition to the raw (sub-daily) data, we provide daily and monthly means together with a quantitative estimation of their uncertainty. The data were converted to modern units, quality controlled, and homogenized.

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    Authors: Wang, Tong; Ng, Hong Chin; Hatton, Jade Elizabeth; Hammond, Samantha J; +3 Authors

    This data set includes hydrographic and pore water and core incubation silicic acid concentration and isotope measurements, sediment Si-HCl and Si-Alk contents and isotope measurements, and pore water nutrient, major, and trace element concentrations measured in the fjords Ameralik Fjord and Nuup Kangerlua (Godhäbsfjord) in southwest Greenland. Data was collected during a research expedition, R/V Tulu 2019, in September 2019, as part of ERC funded (678371) project ICY-LAB (Isotope CYcling in the LABrador Sea) and Royal Society funded (RGF\EA\181036) project Biogeochemical Cycling in Greenlandic Fjords. Temperature and salinity data derived from CTD rosette casts were recorded at station AM10 in Ameralik Fjord and station GF-inlet in Nuup Kangerlua. Fjord water sampling was carried out at 2 stations (AM10 and AM12) in Ameralik Fjord and station GF-inlet in Nuup Kangerlua using Towfish and Niskin bottles for near surface and sub surface samples, respectively. For bottle samples, temperature and salinity were measured using an EXO3 Multiparameter Water Quality Sonde. Fjord sediments were collected by a large bore sediment corer (Aquatic Research Instruments) at station AM10a in Ameralik Fjord and station GF-inlet in Nuup Kangerlua. Pore waters were extracted from the sediment cores using Rhizon samplers and core incubation experiments were carried out following the methodology of Hammond et al. (2004, doi:10.4319/lom.2004.2.146). Sediment reactive silica was leached using a sequential extraction method from Michalopoulos and Aller (2004, doi:10.1016/j.gca.2003.07.018) and Pickering et al. (2020, doi:10.1029/2020GL087877).

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    Authors: Oppong-Danquah, Ernest; Miranda, Martina; Blümel, Martina; Tasdemir, Deniz;

    This study aimed at isolating microorganisms associated with the mesopelagic jellyfish Periphylla periphylla collected in Irminger Sea at a depth of 325 m in July 2020. Three different solid cultivation media; Hastings, Marine agar and Wickerham media were used for the isolation of the associated microorganisms. A total of 43 bacteria were isolated from the inner and outer surfaces of the umbrella of P. periphylla, but unfortunately, no fungal strain was isolated. Isolates were further identified by Sanger sequencing of the 16S rRNA gene, and based on phylogenetic distinctiveness (differences in closest relative species according to the nucleotide BLAST), 16 bacteria belonging to 8 different genera were selected and subjected to an OSMAC cultivation regime approach using liquid and solid marine broth and glucose– yeast–malt media. After 7 days of cultivation, cultures were extracted with ethyl acetate and assessed for antimicrobial activity against fish and human pathogens. Based on antimicrobial activity assessment, four most bioactive strains; Polaribacter sp. SU124, Shewanella sp. SU126, Psychrobacter sp. SU143 and Psychrobacter sp. SU137, were prioritized for a comparative and untargeted metabolomics analysis using feature-based molecular networking. These findings highlight the biotechnological potential of P. periphylla-associated microbiota.

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    https://doi.org/10.1594/pangae...
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Jong, Dirk; Bröder, Lisa; Tesi, Tommaso; Tanski, George; +6 Authors

    This study aims to give insight into the processes affecting permafrost organic carbon (OC) during transport from its source to its sink, through a study on three sediment fractions along a land-to-ocean transect. Material was followed from thawing permafrost, through a dynamic 'disturbed zone' and the nearshore zone, to an enclosed basin offshore Herschel Island - Qikiqtaruk, to assess sorting and degradation processes on specific fractions of sediment OC. Sediment, soil and permafrost samples were taken along a transect from the source (undisturbed active layer and permafrost), via two transitional zones (a terrestrial disturbed zone, i.e. the 'scar zone' of the RTS, and the marine nearshore zone up to a water depth of 5 m), to sink (basin sediment, water depth >20 m) at the coast of Herschel Island – Qikiqtaruk and the (semi-enclosed) Herschel Basin in Yukon, Canada, just west of the Mackenzie River delta. Samples were taken in May 2016 and July 2017. Sample material was fractionated with an aqueous (MilliQ) solution of sodium polytungstate (SPT; Na6[H2W12O40]), with a density of 1.8 g cm³, followed by wet-sieving over a 63 µm mesh, thus separating loose OC from mineral-associated OC. Each fraction was analysed for element content (TOC, TN), carbon isotopes (δ¹³C, Δ¹⁴C), molecular biomarkers (n-alkanes, n-alkanoic acids, lignin phenols, cutin acids), and mineral surface area. The relative abundance of specific biomarkers can also be used as indicator for degradation of organic carbon. Furthermore, the OC 'loading' (concentration of OC normalised to mineral surface area; in mgOC/m²) and terrestrial biomarker loading (µgOC/m²) can be used to assess loss of (permafrost) OC from mineral particles. The combination of these methods allows us to disentangle sorting processes from degradation of OC along the land-to-ocean continuum, and provides a detailed insight into the fate of thawed and eroded permafrost OC.

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    Authors: Pérez-Martínez, Carmen; Ramos-Rodríguez, Eloísa; Conde-Porcuna, José M; Moreno, Emilio; +2 Authors

    This dataset presents relative abundance data of subfossil cladoceran remains obtained from sediment cores retrieved from six lakes at Sierra Nevada Mountains (Granada, Spain) during 2008 and 2011. The files show data over the past 180 years approximately. Sediment cores were taken from the deepest part of the lake by a slide-hammer gravity corer (Aquatic Research Instruments, USA), with a 6.9 cm inner diameter during the summer of 2011, except for Río Seco Lake core which was sampled in 2008. The cores were sectioned on-site into 0.25 cm thick layers for the upper sections of the cores and into 0.5 cm intervals for the remainder of the cores, except for Río Seco Lake core which was sectioned at 0.5 cm contiguous intervals for the entire core length. Sediment cores were dated using gamma spectrometry (DSPec, Ortec®) techniques by measuring activities of radioisotopes (210Pb, 214Bi and 137Cs) and sediment ages were estimated from unsupported 210Pb activities using the constant rate of supply (CRS) model. Cladoceran samples were processed by heating them in 10% KOH and sieved through a 38 µm mesh. The samples were mounted onto microscope slides using glycerol gelatin dyed with safranin. A minimum of 200 remains were identified and enumerated from each sediment interval under a light microscope at 200x magnification.

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    Authors: Pinho, Tainã Marcos Lima; Chiessi, Cristiano Mazur; Campos, Marília C; Portilho-Ramos, Rodrigo Costa; +9 Authors

    To comprehensively document the δ13C content of the South Atlantic Central Water (SACW), we used high-resolution thermocline-dwelling foraminiferal δ13C data obtained from three distinct marine sediment cores situated in the NW, SW, and SE regions of the South Atlantic. Our dataset enables a comprehensive examination of millennial-scale variations in SACW δ13C content across the entire basin. Notably, the thermocline δ13C records from the SE and NW sectors of the South Atlantic consistently exhibit concurrent negative excursions during most of the Heinrich Stadials (HS), a pattern that contrasts sharply with the absence of such negative excursions in the thermocline δ13C record from the SW sector of the South Atlantic

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    Authors: Pasquale Pagano; Sara Pittonet; Federico Drago; Maria Giuffrida;

    There are several research infrastructures or other data services running in Europe that cover a multitude of marine-related sciences, providing specific datasets coming from observations collected with different methods. These infrastructures constitute a diverse world, each looking at a piece of the big picture, sometimes hindering collaboration and data sharing. Blue-Cloud aims to overcome fragmentation and build a bridge between thematic science clusters - such as marine, climate, food and agriculture sciences - and EOSC, creating a data federation and providing a common access to a so-called thematic EOSC for marine data. By connecting leading marine data management infrastructures with horizontal e-infrastructures, the project aims to maximise the exploitation of data resources available from different sources. The Blue-Cloud framework consists of two major technical components: (1) a Blue-Cloud Data Discovery and Access service, already presented in a previous EOSC in practice story, to serve federated discovery and access to blue data infrastructures, and (2) a Blue-Cloud Virtual Research Environment (VRE) to provide computing platforms and analytical services facilitating the collaboration between researchers, which is detailed hereafter. The Blue-Cloud VRE is powered by the D4Science Infrastructure. [M. Assante et al. (2019) Enacting open science by D4Science. Future Gener. Comput. Syst. 101: 555-563 10.1016/j.future.2019.05.063 ] The full list of EOSC in practice stories is available here

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Sarradin, Pierre-Marie; Matabos, Marjolaine; Gautier, Laurent;

    Momarsat 2022 cruise report: summary of dives and operations, and position of moorings and observation infrastructures and sampling locations

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    https://doi.org/10.5281/zenodo...
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    Authors: Yang, Yang; Proud, Roland; Castellón, Arturo; Sabatés, Ana; +2 Authors

    These data consist of both underway and station echosounder observations collected during the 2020 SUMMER (Sustainable Management of Mesopelagic Resources) Mediterranean cruise (30 September 2020 to 18 October 2020) on the RV Sarmiento de Gamboa. Narrowband (18, 38, 70, 120, 200 kHz) underway acoustic data were collected continuously using hull-mounted Simrad EK80 echosounders. The recording depths for the 5 frequencies were 1000, 1000, 750, 500, and 200 m respectively. Calibrations were carried out on the 1st of October 2020 using a 33 mm tungsten sphere,and the calibration results were applied to the instruments. During the survey, a Simrad wideband autonomous receiver (WBAT) was deployed down to a depth of 500 m whilst on station. In total, 31 drops were carried out at 5 stations. Four transducers (central frequencies were 45, 120, 200, 333 kHz) were operated using the WBAT in frequency modulated (FM) mode (bandwidth ranging from 45 to 445 kHz). The WBAT calibration data were collected using a 33 mm tungsten sphere. During the deployment of the WBAT, the hull-mounted EK80 was switched to FM mode to record broadband measurements. Raw power (W), number of transducer segments and transceiver impedance (Ohm) were stored in raw proprietary Simrad format (.raw, .idx).

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    Authors: Giesche, Alena; Hodell, David A; Petrie, Cameron A; Haug, Gerald H; +7 Authors

    A 25-cm long predominantly aragonite stalagmite was collected November 2, 2005 from Dharamjali Cave (29.5°N, 80.2°E) in the central Himalayas. This dataset contains stable isotope, trace element, XRF, U/Th dating, and dripwater data. The age model spans 4.2 to 2.3 ka BP, and the dataset records seasonal shifts in hydroclimate from 4.2 to 3.1 ka BP. Using the DHAR-1A half of the speleothem, 750 samples were milled at 100–300 µm resolution for stable isotope analysis (δ18O and δ13C) and analyzed at GFZ Potsdam. Further high-resolution stable isotope analysis at the University of Cambridge included 876 samples from the bottom 4 cm of the mirroring slab DHAR-1B, covering c. 4.2–3.6 ka BP. The δ44/40Ca measurements were made on 60 aragonite samples of aragonite and 1 calcite sample milled between 4.2 and 2.8 ka BP. The elemental composition of DHAR-1B was determined first with an Avaatech XRF scanner at the University of Cambridge, and later using laser ablation inductively-coupled plasma mass spectrometry (LA-ICP-MS) at the University of Waikato. U-series dating was performed at Caltech on 22 samples. Twelve U-series ages (between 2.55 and 4.14 ka BP) were used to construct the age models, using ensembles of 2000 Monte Carlo simulations for each proxy using the MATLAB-based COPRA script (Breitenbach et al., 2012, https://doi.org/10.5194/cp-8-1765-2012).

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    Authors: Brugnara, Yuri; Horn, Michael; Salvador, Isabella;

    We provide two instrumental records of air pressure and temperature for the Alpine cities of Rovereto and Bolzano/Bozen, covering the periods 1800-1839 and 1842-1849, respectively. They were measured by two physics teachers and digitized at the University of Bern from a handwritten weather diary and a local newspaper. In addition to the raw (sub-daily) data, we provide daily and monthly means together with a quantitative estimation of their uncertainty. The data were converted to modern units, quality controlled, and homogenized.

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    Authors: Wang, Tong; Ng, Hong Chin; Hatton, Jade Elizabeth; Hammond, Samantha J; +3 Authors

    This data set includes hydrographic and pore water and core incubation silicic acid concentration and isotope measurements, sediment Si-HCl and Si-Alk contents and isotope measurements, and pore water nutrient, major, and trace element concentrations measured in the fjords Ameralik Fjord and Nuup Kangerlua (Godhäbsfjord) in southwest Greenland. Data was collected during a research expedition, R/V Tulu 2019, in September 2019, as part of ERC funded (678371) project ICY-LAB (Isotope CYcling in the LABrador Sea) and Royal Society funded (RGF\EA\181036) project Biogeochemical Cycling in Greenlandic Fjords. Temperature and salinity data derived from CTD rosette casts were recorded at station AM10 in Ameralik Fjord and station GF-inlet in Nuup Kangerlua. Fjord water sampling was carried out at 2 stations (AM10 and AM12) in Ameralik Fjord and station GF-inlet in Nuup Kangerlua using Towfish and Niskin bottles for near surface and sub surface samples, respectively. For bottle samples, temperature and salinity were measured using an EXO3 Multiparameter Water Quality Sonde. Fjord sediments were collected by a large bore sediment corer (Aquatic Research Instruments) at station AM10a in Ameralik Fjord and station GF-inlet in Nuup Kangerlua. Pore waters were extracted from the sediment cores using Rhizon samplers and core incubation experiments were carried out following the methodology of Hammond et al. (2004, doi:10.4319/lom.2004.2.146). Sediment reactive silica was leached using a sequential extraction method from Michalopoulos and Aller (2004, doi:10.1016/j.gca.2003.07.018) and Pickering et al. (2020, doi:10.1029/2020GL087877).

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