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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: Behncke, Jacqueline; Landschützer, Peter; Tanhua, Toste;

    This repository contains files and scripts used to generate figures for the paper titled "A detectable change in the air-sea CO2 flux estimate from sailboat measurements". The study quantifies the impact of pCO2 observations measured by the sailboat "Seaexplorer" on the air-sea CO2 flux estimate. Overview: We used pCO2 measurements sourced from SOCAT (www.socat.info), along with other environmental variables. We applied the 2-step neural network method SOM-FFN (Landschützer et al., 2013) to reconstruct air-sea CO2 flux estimates. Four sets of air-sea CO2 flux estimates were reconstructed, each with 40 ensemble members to account for random errors in the neural network. These are the four sets: E1) fluxesA - Based on SOCATv2022 including Seaexplorer data E2) fluxesB - Based on SOCATv2022 excluding Seaexplorer data. E3) fluxesC - Based on SOCATv2022 data, including Seaexplorer data, but introducing a random uncertainty of ± 5 μatm to the Seaexplorer data. E4) fluxesD - Based on SOCATv2022 data, including Seaexplorer data, but introducing a constant measurement offset of 5 μatm to the Seaexplorer data. These air-sea CO2 flux density estimates are 4-dimensional, represented in mol C m-2 yr-1, with the following dimensions: - Ensemble size of flux reconstructions (40) - Time (months from 1982 to 2021, totaling 480 months) - Latitude (1-degree intervals, totaling 180 latitudes) - Longitude (1-degree intervals, totaling 360 longitudes)

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    ZENODO
    Dataset . 2023
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    ZENODO
    Dataset . 2024
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    ZENODO
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    ZENODO
    Dataset . 2024
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      ZENODO
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      ZENODO
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      ZENODO
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      ZENODO
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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: Morée, Anne L.; Caccavo, Jilda A.; Nissen, Cara;

    Habitat files of 28 Antarctic Toothfish (Dissostichus mawsoni) prey species and the Antarctic Toothfish itself, regridded to the FESOM-REcoM model grid, in NetCDF format. For use in article '21st-century environmental change decreases habitat overlap of Antarctic toothfish (Dissostichus mawsoni) and its prey'. This dataset is a collection of the following: 1) 2-dimensional distribution data for 3 squid species, derived from Raymond et al. (2015) 2) 2-dimensional distribution data for 25 prey species and the Antarctic Toothfish, derived from AquaMaps distribution data 3) the model grid file. A species is present in a certain gridcell when its value is 1, elsewhere the species is considered absent. 1) Original files for the 3 squid species galiteuthis glacialis, kondakovia longimana and mesonychoteuthis hamiltoni are taken from previously published data of Raymond et al. (2015) and regridded to the FESOM-REcoM model grid. These squid species are considered to have their habitat anywhere where habitat suitability in the original Raymond et al. (2015) dataset exceeds the habitat suitability thresholds of 0.228 for Galiteuthis glacialis, 0.281 for Kondakovia longimana and 0.121 for Mesonychoteuthis hamiltoni (threshold values as in Xavier et al. (2016), personal communication with Ben Raymond 16.01.2023 to get exact values). These data have an original resolution of 0.1x0.1 degrees (regular longitude-latitude grid). 2) The 25 files taken from AquaMaps start with Default_* or Reviewed_* and are the native predicted range data as provided by Kaschner et al. (2019). They were shared by Kathleen Kesner-Reyes from AquaMaps in March and April 2023 after being reviewed by her for correctness and actuality. The files that start with Reviewed_* have had adjustments made to the original Default_* based on this review, which is described in more detail on the AquaMaps website. These data have an original resolution of 0.5x0.5 degrees (regular longitude-latitude grid). 3) The model grid file 'Mesh_ancillary_information_v20220919.nc' contains the longitude and latitude data needed for regridding to the FESOM-REcoM model grid. Regridding was done using CDO version 1.9.6 (http://mpimet.mpg.de/cdo; developed by U. Schulzweida) and CDO function 'remaplaf', which performs largest area fraction remapping. References Xavier, J.C., Raymond, B., Jones, D.C. et al. Biogeography of Cephalopods in the Southern Ocean Using Habitat Suitability Prediction Models. Ecosystems 19, 220–247 (2016). https://doi.org/10.1007/s10021-015-9926-1 Raymond, B., Xavier, J., Griffiths, H., Jones, D. (2015) Habitat suitability predictions for 15 species of cephalopods in the Southern Ocean, Ver. 1, Australian Antarctic Data Centre - doi:10.4225/15/563AC33450A28, Accessed: 2023-01-16 Kaschner, K., Kesner-Reyes, K., Garilao, C., Segschneider, J., Rius-Barile, J. Rees, T., & Froese, R. (2019, October). AquaMaps: Predicted range maps for aquatic species. Retrieved from https://www.aquamaps.org.

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    ZENODO
    Dataset . 2024
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    Data sources: ZENODO
    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: Datacite
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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/ ZENODOarrow_drop_down
      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/
      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: Datacite
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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: Nakayama, Yoshihiro; Jourdain, Nicolas; van Caspel, Mathias; Timmermann, Ralph; +1 Authors

    Observational data gathered and reprocessed to facilitate the evaluation of ocean and ice-sheet models in the Amundsen Sea sector as part of MISOMIP2. __________________________________________ This entire dataset should be cited as: the MISOMIP2 MIPkit-A dataset (http://zenodo.org/doi/10.5281/zenodo.10062355) that includes data collected through multiple cruises of Nathaniel B. Palmer (United States Antarctic Program), James C. Ross (British Antarctic Survey and Natural Environment Research Council), Araon (Korea Polar Research Institute), Oden (Swedish Polar Research) and Polarstern (Alfred Wegener Institute, Germany), as well as regridded glaciological data from the MeaSUREs, MeaSUREs ITS_LIVE and CPOM projects For more specific use of some of the MIPkit-A data, we encourage people to cite the original data referenced below. __________________________________________ IceSurfVel_MIPkitA_2000-2019 : annual maps of ice surface velocity Surface-parallel velocity vectors (in m/year) between 2000 and 2019 are provided on the common MISOMIP2 grid with regular grid spacing of 1 km. Data were calculated as a weighted average of all available Earth observation data from the MeaSUREs project (Rignot et al. 2014 and Mouginot et al. 2017) and MeaSUREs ITS_LIVE project (Gardner et al. 2022), with weights corresponding to the inverse square error of the original datasets. Propagated errors and a mask indicating the original data sources for each grid point are also included. __________________________________________ IceSurfElChange_MIPkitA_1992-2019 : annual maps of surface elevation change Surface elevation changes (in m) between 1992 and 2019, relative to 16-Dec-2013, are provided on the common MISOMIP2 grid with regular grid spacing of 1 km. Data were calculated as a weighted average of available Earth observation data from CPOM (Otosaka al. 2023) and MeaSUREs ITS_LIVE (Nilsson et al. 2023) for the grounded ice and MeaSUREs ITS_LIVE data (Paolo et al. 2023) for floating ice. Propagated errors and a mask indicating the original data sources for each grid point are also included. __________________________________________ Oce3d_MIPkitA_* : 3-dimensional temperature and salinity (horizontal slices every 100m) The hydrographic properties provided on horizontal sections at 15 depths come from the CTD measurements obtained during cruises of the following icebreaker research vessels: Nathaniel B. Palmer (United States Antarctic Program), James C. Ross (British Antarctic Survey and Natural Environment Research Council), Araon (Korea Polar Research Institute), Oden (Swedish Polar Research) and Polarstern (Alfred Wegener Institute, Germany). In this MIPkit, we have gathered data for the first months of 1994, 2000, 2007, 2009 (Jacobs, 1994, 2000, 2007, 2009), 2010 (Swedish Polar Research Secretariat 2010; Gohl 2015), 2012 (Kim et al. 2012), 2014 (Heywood 2014; Ha et al. 2014), 2016 (Kim et al. 2016), 2017 (Gohl 2017), 2018 (Kim et al. 2018), 2019 (Larter et al. 2019) and 2020 (Wellner, 2020). __________________________________________ OceSec_MIPkitA_* : vertical sections The first vertical (OceSec1) section where we provide hydrographic data in the Amundsen Sea starts across the continental shelf break and follows the Eastern Pine Island Trough southward until Pine Island Ice Shelf. This section was monitored by the following cruises: N.B. Palmer in January 2009, Polarstern in March 2010 and Araon in February-March 2012 (Jacobs et al. 2011; Gohl 2015; Dutrieux et al. 2014). The second vertical section (OceSec2) starts across the continental shelf break and follows the Dotson-Getz Trough southward until the Dotson Ice Shelf. It was monitored by the aforementioned Araon expeditions in 2010–2011 and early 2012 (Kim et al. 2017). The files OceSec_model_lon_lat.csv contain the coordinates (longitude, latitude) at which model data should be interpolated to be compared to the observational sections. __________________________________________ OceMoor_MIPkitA_* : moorings The first mooring site (OceMoor1) is located near the northern part of the Pine Island ice shelf front (102.07°W, 74.87°S) and captures the thermocline variability from 2012 to 2018 ("iSTAR-8" in NERC iSTAR program, and "pig-n" in NERC Ocean Forcing Ice Change Program). The second mooring site (OceMoor2)is located near the southern part of the Pine Island ice shelf front (102.15°W, 75.05°S), was monitored between 2009 and 2016, then in 2019–2020 through the following moorings: "BSR-5" (Buoy Supported Riser; Jacobs 2009), "iSTAR-9" (NERC iSTAR Program), and "pig-s" (NERC Ocean Forcing Ice Change Program). This second site experienced a strong deepening of the thermocline in 2012–2013 (Webber et al. 2017), then a more moderate deepening in 2016. These two mooring sites are located only 20 km from each other, show distinct mean thermocline depth and more consistent variability (Joughin et al. 2021). The third mooring observation (OceMoor3, "trough-e" in NERC Ocean Forcing Ice Change Program) used in MISOMIP is at the eastern Pine Island trough (102.55°W, 71.33°S). The eastern trough is considered to be the entrance of mCDW reaching the Pine Island Ice Shelf (Jacobs et al. 2011; Nakayama et al. 2013; Webber et al. 2017) but only two years of mooring observation was conducted from 2014-2015 due to important sea ice cover. The fourth mooring site (OceMoor4) used in MISOMIP is at the western Pine Island trough (113.05°W, 71.56°S). Several mooring observations were conducted within 2 km of each other, allowing us to observe thermocline variability from 2009 to 2016 with one year gap in 2011: "BSR-12" (Jacobs 2009), "iSTAR-1" (NERC iSTAR Program), and "trough-w" (NERC Ocean Forcing Ice Change Program). __________________________________________ The archive example_routines.zip contains example of Matlab routines that were used to prepare the MIPkit-A ocean data, as well as GenerateData_MIPkit_Ice.m and writeNC_MIPkit_Ice.m that were used to process the MIPkit-A glaciological data. __________________________________________ References Dutrieux, P., De Rydt, J., Jenkins, A., Holland, P. R., Ha, H. K., Lee, S. H., Steig, E. J., Ding, Q., Abrahamsen, E. P., and Schröder, M.: Strong sensitivity of Pine Island ice-shelf melting to climatic variability, Science, 343, 174–178, 2014. Gohl, K.: Station list and links to master tracks in different resolutions of POLARSTERN cruise ANT-XXVI/3, Wellington - Punta Arenas, 2010-01-30 - 2010-04-05, Tech. rep., Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, https://doi.org/10.1594/PANGAEA.847944, 2015. Gohl, K.: The Expedition PS104 of the Research Vessel POLARSTERN to the Amundsen Sea in 2017, Reports on polar and marine research, Tech. rep., Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, http://doi.org/10.2312/BzPM_0712_2017, 2017. Ha, H. K., Kim, T. W., Lee, H. J., Kang, C. Y., Hong, C. S., Wåhlin, A. K., Rolandsson, J., Karen, O., and Miles, T.: The Amundsen Sea Expedition (ANA04B): IBRV Araon, 24 December 2013 – 25 January 2014 – Chapther 1: Physical Oceanography, Tech. rep., Korea Polar Research Institute, Incheon, https://repository.kopri.re.kr/handle/201206/4605, 2014. Heywood, K. 690 J.: JR294/295 Cruise Report, Ice Sheet Stability Programme (iSTAR), RRS James Clark Ross, 26th February – 8th March 2014, Amundsen Sea, Tech. rep., Natural Environment Research Council (NERC), https://www.bodc.ac.uk/resources/inventories/cruise_inventory/report/13405/, 2014. Jacobs, S.: Cruise NBP9402, RVIB Nathaniel B. Palmer, Feb 14 – Apr 5 1994, Tech. rep., United States Antarctic Program. http://doi.org/10.7284/905397, 1994. Jacobs, S.: Cruise NBP0001, RVIB Nathaniel B. Palmer, Feb 15 – Apr 1 2000, Tech. rep., United States Antarctic Program. http://doi.org/10.7284/905450, 2000. Jacobs, S.: Cruise NBP0702, RVIB Nathaniel B. Palmer, Feb 03 – Mar 25 2007, Tech. rep., United States Antarctic Program. http://doi.org/10.7284/905530, 2007. Jacobs, S.: Cruise NBP0901, RVIB Nathaniel B. Palmer, Jan 05 – Feb 26 2009, Tech. rep., United States Antarctic Program, http://doi.org/10.7284/905547, 2009. Jacobs, S. S., Jenkins, A., Giulivi, C. F., and Dutrieux, P.: Stronger ocean circulation and increased melting under Pine Island Glacier ice shelf, Nature Geoscience, 4, 519–523, 2011. Joughin, I., Shapero, D., Smith, B., Dutrieux, P., and Barham, M.: Ice-shelf retreat drives recent Pine Island Glacier speedup, Science Advances, 7, eabg3080, 2021. Kim, T. W., H, H. K., and Hong, C. S.: The Amundsen Sea Expedition (ANA02C): IBRV Araon, 31 January 2012 – 20 March 2012 – Chapther 1: Hydrographic Survey, Tech. rep., Korea Polar Research Institute, Incheon, https://repository.kopri.re.kr/handle/201206/4603, 2012. Kim, T. W., Cho, K. H., Kim, C. S., Yang, H. W., La, H. S., Lee, J. H., Kim, D. K., Jung, J. H., Wåhlin, A. K., Assmann, K. M., Darelius, E., Abrahamsen, E. P., and Waite, N.: The Amundsen Sea Expedition (ANA06B): IBRV Araon, 6 January – 23 February 2016 – Chapther 1: Physical Oceanography in Amundsen Sea, Tech. rep., Korea Polar Research Institute, Incheon, https://ftp.nmdc.no/nmdc/UIB/Mooring/20181213/ANA06B_cruise_report.pdf, 2016. Kim, T.-W., Ha, H. K., Wåhlin, A. K., Lee, S., Kim, C.-S., Lee, J. H., and Cho, Y.-K.: Is Ekman pumping responsible for the seasonal variation of warm circumpolar deep water in the Amundsen Sea?, Continental Shelf Research, 132, 38–48, 2017. Kim, T. W., Cho, K. H., Park, T. W., Yang, H. W., Kim, Y., Assmann, K. M., Rolandsson, J., Dutrieux, P., Gobat, J., Beem, L., Richter, T., Buhl, D., and Durand, I.: The Amundsen Sea Expedition (ANA08B): IBRV Araon, 21 December 2017 – 13 February 2018 – Chapther 1: Physical Oceanography, Tech. rep., Korea Polar Research Institute, Incheon, https://repository.kopri.re.kr/handle/201206/9441, 2018. Larter, R., Barham, M., Boehme, L., Braddock, S., Graham, A., Hogan, K., Mazur, A., Minzoni, R., Queste, B., Sheehan, P., Spoth, M., Wåhlin, A., Bortolotto-d'Oliveira, G., Clark, R. W., Fitzgerald, V., Karam, S., Kirkham, J., Stedt, F., Zheng, Y., Beeler, C., Goodell, J., Rush, E., Snow, T., Welzenbach, L., Andersson, J., and Rolandsson, J.: Cruise NBP1902, RVIB Nathaniel B. Palmer, Jan 29 – Mar 25 2019, Tech. rep., United States Antarctic Program, http://doi.org/10.7284/908147, 2019. Nakayama, Y., Schröder, M., and Hellmer, H. H.: From circumpolar deep water to the glacial meltwater plume on the eastern Amundsen Shelf, Deep Sea Res. I, 77, 50–62, 2013. Swedish Polar Research Secretariat: Oden Southern Ocean 2009/10 - Conductivity-Temperature-Depth (CTD) Data Collected Onboard Icebreaker Oden during February through March 2010, Tech. rep., Swedish Polar Research, http://snd.gu.se/en/catalogue/dataset/ecds0220-1, 2010. Webber, B. G. M., Heywood, K. J., Stevens, D. P., Dutrieux, P., Abrahamsen, E. P., Jenkins, A., Jacobs, S. S., Ha, H. K., Lee, S. H., and Kim, T. W.: Mechanisms driving variability in the ocean forcing of Pine Island Glacier, Nature Communications, 8, 1–8, 2017. Wellner, J.: Cruise NBP2002, RVIB Nathaniel B. Palmer, Jan 25 2020 – Mar 08 2020, Tech. rep., United States Antarctic Program, http://doi.org/10.7284/908803, 2019.

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    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: ZENODO
    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/
    ZENODO
    Dataset . 2024
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    Dataset . 2024
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      ZENODO
      Dataset . 2023
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      Data sources: ZENODO
      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/
      ZENODO
      Dataset . 2024
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      Data sources: ZENODO
      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: Datacite
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    Authors: Hörterer, Christina; Lannig, Gisela; Buck, Bela Hieronymus;

    This study examined the growth response of juvenile turbot (Scophthalmus maximus) to diets with graded fishmeal (FM) replacement with plant, animal, and emerging protein sources (PLANT, PAP, and MIX) in comparison to a commercial-like diet (CTRL). The feeding experiment was carried out from April to July 2019 in the Centre for Aquaculture Research (ZAF) at the Alfred Wegener Institute for Polar and Marine research in Bremerhaven, Germany. The juvenile turbot (Scophthalmus maximus) were purchased from France Turbot (L'Épine, France) and acclimated to the recirculating aquaculture system (RAS) for 2 weeks prior to starting the 16 weeks experimental trial. To elucidate the effects of the protein sources and the level of FM replacement on the nutritional status of the fish, glycogen, free glucose and lipid content of liver and muscle tissue were determined at the end of the experiment (t4). Following the procedure described by Keppler and Decker (1988), glycogen content was determined photometrically after enzymatic hydrolysis of glycogen to glucose. Briefly, filet and liver samples (3 individual fish per tank; 15 fish per diet in total) were grinded under liquid nitrogen, and approx. 200 mg tissue was homogenised in 5×volume of icecold 0.6 M perchloric acid (PCA) (w:v). After one cycle of 20 s at 6000 rpm and 3 °C using Precellys 24 (Bertin Technologies, France), samples were sonicated for 2 min at 0 °C and 360 W (Branson Ultrasonics Sonifier 450; Fisher Scientific, Germany), and homogenates were immediately divided for the analysis of total and free glucose concentrations.

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    PANGAEA
    Dataset . 2024
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      Dataset . 2024
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    Authors: Jong, Dirk; Bröder, Lisa; Tesi, Tommaso; Tanski, George; +6 Authors
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    Dataset . 2024
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      Dataset . 2024
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    Authors: Fritz, Michael; Gimsa, Justus; Petzold, Pia; Klein, Konstantin; +7 Authors

    This dataset contains CTD measurements taken in 2015, 2016, 2017, 2018, 2019, 2022, and 2023 during expeditions to Herschel Island - Qikiqtaruk, Yukon, Canada. For the data recording a CTD CastAway was used. The sampling was conducted from a boat from which the CTD was lowered to the sea floor at the specific sampling sites. The sampling information encompasses the GPS position, water depth, pressure, temperature, electrical conductivity, specific conductance, and salinity.

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    PANGAEA
    Dataset . 2024
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      Dataset . 2024
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    Authors: Pérez-Martínez, Carmen; Ramos-Rodríguez, Eloísa; Conde-Porcuna, José M; Moreno, Emilio; +2 Authors
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    Dataset . 2024
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      Dataset . 2024
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    Authors: Hörterer, Christina; Lannig, Gisela; Buck, Bela Hieronymus;

    This study examined the growth response of juvenile turbot (Scophthalmus maximus) to diets with graded fishmeal (FM) replacement with plant, animal, and emerging protein sources (PLANT, PAP, and MIX) in comparison to a commercial-like diet (CTRL). The feeding experiment was carried out from April to July 2019 in the Centre for Aquaculture Research (ZAF) at the Alfred Wegener Institute for Polar and Marine research in Bremerhaven, Germany. The juvenile turbot (Scophthalmus maximus) were purchased from France Turbot (L'Épine, France) and acclimated to the recirculating aquaculture system (RAS) for 2 weeks prior to starting the 16 weeks experimental trial. To elucidate the effects of the protein sources and the level of FM replacement on the nutritional status of the fish lipid content of liver and muscle tissue were determined at the end of the experiment (t4). Muscle and liver samples (3 individual fish per tank; 15 fish per diet in total) were grinded under liquid nitrogen. Due to small volume, the individual samples of liver and muscle were pooled (n=5 tanks per diet) for the crude lipid content. Following the method of Folch et al. (1957) and Postel et al. (2000), the lipids in the muscle and liver tissue were extracted with 2:1 dichloromethanemethanol (v/v) and an aqueous solution of 0.88% potassium chloride (KCl) (w:v). Crude lipid content was determined gravimetrically to the nearest 0.001 g and calculated as the percentage of lipids of tissue wet weight.

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    Dataset . 2024
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    Authors: Jong, Dirk; Bröder, Lisa; Tesi, Tommaso; Tanski, George; +6 Authors
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    Authors: Jong, Dirk; Bröder, Lisa; Tesi, Tommaso; Tanski, George; +6 Authors
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    Authors: Behncke, Jacqueline; Landschützer, Peter; Tanhua, Toste;

    This repository contains files and scripts used to generate figures for the paper titled "A detectable change in the air-sea CO2 flux estimate from sailboat measurements". The study quantifies the impact of pCO2 observations measured by the sailboat "Seaexplorer" on the air-sea CO2 flux estimate. Overview: We used pCO2 measurements sourced from SOCAT (www.socat.info), along with other environmental variables. We applied the 2-step neural network method SOM-FFN (Landschützer et al., 2013) to reconstruct air-sea CO2 flux estimates. Four sets of air-sea CO2 flux estimates were reconstructed, each with 40 ensemble members to account for random errors in the neural network. These are the four sets: E1) fluxesA - Based on SOCATv2022 including Seaexplorer data E2) fluxesB - Based on SOCATv2022 excluding Seaexplorer data. E3) fluxesC - Based on SOCATv2022 data, including Seaexplorer data, but introducing a random uncertainty of ± 5 μatm to the Seaexplorer data. E4) fluxesD - Based on SOCATv2022 data, including Seaexplorer data, but introducing a constant measurement offset of 5 μatm to the Seaexplorer data. These air-sea CO2 flux density estimates are 4-dimensional, represented in mol C m-2 yr-1, with the following dimensions: - Ensemble size of flux reconstructions (40) - Time (months from 1982 to 2021, totaling 480 months) - Latitude (1-degree intervals, totaling 180 latitudes) - Longitude (1-degree intervals, totaling 360 longitudes)

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    Authors: Morée, Anne L.; Caccavo, Jilda A.; Nissen, Cara;

    Habitat files of 28 Antarctic Toothfish (Dissostichus mawsoni) prey species and the Antarctic Toothfish itself, regridded to the FESOM-REcoM model grid, in NetCDF format. For use in article '21st-century environmental change decreases habitat overlap of Antarctic toothfish (Dissostichus mawsoni) and its prey'. This dataset is a collection of the following: 1) 2-dimensional distribution data for 3 squid species, derived from Raymond et al. (2015) 2) 2-dimensional distribution data for 25 prey species and the Antarctic Toothfish, derived from AquaMaps distribution data 3) the model grid file. A species is present in a certain gridcell when its value is 1, elsewhere the species is considered absent. 1) Original files for the 3 squid species galiteuthis glacialis, kondakovia longimana and mesonychoteuthis hamiltoni are taken from previously published data of Raymond et al. (2015) and regridded to the FESOM-REcoM model grid. These squid species are considered to have their habitat anywhere where habitat suitability in the original Raymond et al. (2015) dataset exceeds the habitat suitability thresholds of 0.228 for Galiteuthis glacialis, 0.281 for Kondakovia longimana and 0.121 for Mesonychoteuthis hamiltoni (threshold values as in Xavier et al. (2016), personal communication with Ben Raymond 16.01.2023 to get exact values). These data have an original resolution of 0.1x0.1 degrees (regular longitude-latitude grid). 2) The 25 files taken from AquaMaps start with Default_* or Reviewed_* and are the native predicted range data as provided by Kaschner et al. (2019). They were shared by Kathleen Kesner-Reyes from AquaMaps in March and April 2023 after being reviewed by her for correctness and actuality. The files that start with Reviewed_* have had adjustments made to the original Default_* based on this review, which is described in more detail on the AquaMaps website. These data have an original resolution of 0.5x0.5 degrees (regular longitude-latitude grid). 3) The model grid file 'Mesh_ancillary_information_v20220919.nc' contains the longitude and latitude data needed for regridding to the FESOM-REcoM model grid. Regridding was done using CDO version 1.9.6 (http://mpimet.mpg.de/cdo; developed by U. Schulzweida) and CDO function 'remaplaf', which performs largest area fraction remapping. References Xavier, J.C., Raymond, B., Jones, D.C. et al. Biogeography of Cephalopods in the Southern Ocean Using Habitat Suitability Prediction Models. Ecosystems 19, 220–247 (2016). https://doi.org/10.1007/s10021-015-9926-1 Raymond, B., Xavier, J., Griffiths, H., Jones, D. (2015) Habitat suitability predictions for 15 species of cephalopods in the Southern Ocean, Ver. 1, Australian Antarctic Data Centre - doi:10.4225/15/563AC33450A28, Accessed: 2023-01-16 Kaschner, K., Kesner-Reyes, K., Garilao, C., Segschneider, J., Rius-Barile, J. Rees, T., & Froese, R. (2019, October). AquaMaps: Predicted range maps for aquatic species. Retrieved from https://www.aquamaps.org.

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    Authors: Nakayama, Yoshihiro; Jourdain, Nicolas; van Caspel, Mathias; Timmermann, Ralph; +1 Authors

    Observational data gathered and reprocessed to facilitate the evaluation of ocean and ice-sheet models in the Amundsen Sea sector as part of MISOMIP2. __________________________________________ This entire dataset should be cited as: the MISOMIP2 MIPkit-A dataset (http://zenodo.org/doi/10.5281/zenodo.10062355) that includes data collected through multiple cruises of Nathaniel B. Palmer (United States Antarctic Program), James C. Ross (British Antarctic Survey and Natural Environment Research Council), Araon (Korea Polar Research Institute), Oden (Swedish Polar Research) and Polarstern (Alfred Wegener Institute, Germany), as well as regridded glaciological data from the MeaSUREs, MeaSUREs ITS_LIVE and CPOM projects For more specific use of some of the MIPkit-A data, we encourage people to cite the original data referenced below. __________________________________________ IceSurfVel_MIPkitA_2000-2019 : annual maps of ice surface velocity Surface-parallel velocity vectors (in m/year) between 2000 and 2019 are provided on the common MISOMIP2 grid with regular grid spacing of 1 km. Data were calculated as a weighted average of all available Earth observation data from the MeaSUREs project (Rignot et al. 2014 and Mouginot et al. 2017) and MeaSUREs ITS_LIVE project (Gardner et al. 2022), with weights corresponding to the inverse square error of the original datasets. Propagated errors and a mask indicating the original data sources for each grid point are also included. __________________________________________ IceSurfElChange_MIPkitA_1992-2019 : annual maps of surface elevation change Surface elevation changes (in m) between 1992 and 2019, relative to 16-Dec-2013, are provided on the common MISOMIP2 grid with regular grid spacing of 1 km. Data were calculated as a weighted average of available Earth observation data from CPOM (Otosaka al. 2023) and MeaSUREs ITS_LIVE (Nilsson et al. 2023) for the grounded ice and MeaSUREs ITS_LIVE data (Paolo et al. 2023) for floating ice. Propagated errors and a mask indicating the original data sources for each grid point are also included. __________________________________________ Oce3d_MIPkitA_* : 3-dimensional temperature and salinity (horizontal slices every 100m) The hydrographic properties provided on horizontal sections at 15 depths come from the CTD measurements obtained during cruises of the following icebreaker research vessels: Nathaniel B. Palmer (United States Antarctic Program), James C. Ross (British Antarctic Survey and Natural Environment Research Council), Araon (Korea Polar Research Institute), Oden (Swedish Polar Research) and Polarstern (Alfred Wegener Institute, Germany). In this MIPkit, we have gathered data for the first months of 1994, 2000, 2007, 2009 (Jacobs, 1994, 2000, 2007, 2009), 2010 (Swedish Polar Research Secretariat 2010; Gohl 2015), 2012 (Kim et al. 2012), 2014 (Heywood 2014; Ha et al. 2014), 2016 (Kim et al. 2016), 2017 (Gohl 2017), 2018 (Kim et al. 2018), 2019 (Larter et al. 2019) and 2020 (Wellner, 2020). __________________________________________ OceSec_MIPkitA_* : vertical sections The first vertical (OceSec1) section where we provide hydrographic data in the Amundsen Sea starts across the continental shelf break and follows the Eastern Pine Island Trough southward until Pine Island Ice Shelf. This section was monitored by the following cruises: N.B. Palmer in January 2009, Polarstern in March 2010 and Araon in February-March 2012 (Jacobs et al. 2011; Gohl 2015; Dutrieux et al. 2014). The second vertical section (OceSec2) starts across the continental shelf break and follows the Dotson-Getz Trough southward until the Dotson Ice Shelf. It was monitored by the aforementioned Araon expeditions in 2010–2011 and early 2012 (Kim et al. 2017). The files OceSec_model_lon_lat.csv contain the coordinates (longitude, latitude) at which model data should be interpolated to be compared to the observational sections. __________________________________________ OceMoor_MIPkitA_* : moorings The first mooring site (OceMoor1) is located near the northern part of the Pine Island ice shelf front (102.07°W, 74.87°S) and captures the thermocline variability from 2012 to 2018 ("iSTAR-8" in NERC iSTAR program, and "pig-n" in NERC Ocean Forcing Ice Change Program). The second mooring site (OceMoor2)is located near the southern part of the Pine Island ice shelf front (102.15°W, 75.05°S), was monitored between 2009 and 2016, then in 2019–2020 through the following moorings: "BSR-5" (Buoy Supported Riser; Jacobs 2009), "iSTAR-9" (NERC iSTAR Program), and "pig-s" (NERC Ocean Forcing Ice Change Program). This second site experienced a strong deepening of the thermocline in 2012–2013 (Webber et al. 2017), then a more moderate deepening in 2016. These two mooring sites are located only 20 km from each other, show distinct mean thermocline depth and more consistent variability (Joughin et al. 2021). The third mooring observation (OceMoor3, "trough-e" in NERC Ocean Forcing Ice Change Program) used in MISOMIP is at the eastern Pine Island trough (102.55°W, 71.33°S). The eastern trough is considered to be the entrance of mCDW reaching the Pine Island Ice Shelf (Jacobs et al. 2011; Nakayama et al. 2013; Webber et al. 2017) but only two years of mooring observation was conducted from 2014-2015 due to important sea ice cover. The fourth mooring site (OceMoor4) used in MISOMIP is at the western Pine Island trough (113.05°W, 71.56°S). Several mooring observations were conducted within 2 km of each other, allowing us to observe thermocline variability from 2009 to 2016 with one year gap in 2011: "BSR-12" (Jacobs 2009), "iSTAR-1" (NERC iSTAR Program), and "trough-w" (NERC Ocean Forcing Ice Change Program). __________________________________________ The archive example_routines.zip contains example of Matlab routines that were used to prepare the MIPkit-A ocean data, as well as GenerateData_MIPkit_Ice.m and writeNC_MIPkit_Ice.m that were used to process the MIPkit-A glaciological data. __________________________________________ References Dutrieux, P., De Rydt, J., Jenkins, A., Holland, P. R., Ha, H. K., Lee, S. H., Steig, E. J., Ding, Q., Abrahamsen, E. P., and Schröder, M.: Strong sensitivity of Pine Island ice-shelf melting to climatic variability, Science, 343, 174–178, 2014. Gohl, K.: Station list and links to master tracks in different resolutions of POLARSTERN cruise ANT-XXVI/3, Wellington - Punta Arenas, 2010-01-30 - 2010-04-05, Tech. rep., Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, https://doi.org/10.1594/PANGAEA.847944, 2015. Gohl, K.: The Expedition PS104 of the Research Vessel POLARSTERN to the Amundsen Sea in 2017, Reports on polar and marine research, Tech. rep., Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, http://doi.org/10.2312/BzPM_0712_2017, 2017. Ha, H. K., Kim, T. W., Lee, H. J., Kang, C. Y., Hong, C. S., Wåhlin, A. K., Rolandsson, J., Karen, O., and Miles, T.: The Amundsen Sea Expedition (ANA04B): IBRV Araon, 24 December 2013 – 25 January 2014 – Chapther 1: Physical Oceanography, Tech. rep., Korea Polar Research Institute, Incheon, https://repository.kopri.re.kr/handle/201206/4605, 2014. Heywood, K. 690 J.: JR294/295 Cruise Report, Ice Sheet Stability Programme (iSTAR), RRS James Clark Ross, 26th February – 8th March 2014, Amundsen Sea, Tech. rep., Natural Environment Research Council (NERC), https://www.bodc.ac.uk/resources/inventories/cruise_inventory/report/13405/, 2014. Jacobs, S.: Cruise NBP9402, RVIB Nathaniel B. Palmer, Feb 14 – Apr 5 1994, Tech. rep., United States Antarctic Program. http://doi.org/10.7284/905397, 1994. Jacobs, S.: Cruise NBP0001, RVIB Nathaniel B. Palmer, Feb 15 – Apr 1 2000, Tech. rep., United States Antarctic Program. http://doi.org/10.7284/905450, 2000. Jacobs, S.: Cruise NBP0702, RVIB Nathaniel B. Palmer, Feb 03 – Mar 25 2007, Tech. rep., United States Antarctic Program. http://doi.org/10.7284/905530, 2007. Jacobs, S.: Cruise NBP0901, RVIB Nathaniel B. Palmer, Jan 05 – Feb 26 2009, Tech. rep., United States Antarctic Program, http://doi.org/10.7284/905547, 2009. Jacobs, S. S., Jenkins, A., Giulivi, C. F., and Dutrieux, P.: Stronger ocean circulation and increased melting under Pine Island Glacier ice shelf, Nature Geoscience, 4, 519–523, 2011. Joughin, I., Shapero, D., Smith, B., Dutrieux, P., and Barham, M.: Ice-shelf retreat drives recent Pine Island Glacier speedup, Science Advances, 7, eabg3080, 2021. Kim, T. W., H, H. K., and Hong, C. S.: The Amundsen Sea Expedition (ANA02C): IBRV Araon, 31 January 2012 – 20 March 2012 – Chapther 1: Hydrographic Survey, Tech. rep., Korea Polar Research Institute, Incheon, https://repository.kopri.re.kr/handle/201206/4603, 2012. Kim, T. W., Cho, K. H., Kim, C. S., Yang, H. W., La, H. S., Lee, J. H., Kim, D. K., Jung, J. H., Wåhlin, A. K., Assmann, K. M., Darelius, E., Abrahamsen, E. P., and Waite, N.: The Amundsen Sea Expedition (ANA06B): IBRV Araon, 6 January – 23 February 2016 – Chapther 1: Physical Oceanography in Amundsen Sea, Tech. rep., Korea Polar Research Institute, Incheon, https://ftp.nmdc.no/nmdc/UIB/Mooring/20181213/ANA06B_cruise_report.pdf, 2016. Kim, T.-W., Ha, H. K., Wåhlin, A. K., Lee, S., Kim, C.-S., Lee, J. H., and Cho, Y.-K.: Is Ekman pumping responsible for the seasonal variation of warm circumpolar deep water in the Amundsen Sea?, Continental Shelf Research, 132, 38–48, 2017. Kim, T. W., Cho, K. H., Park, T. W., Yang, H. W., Kim, Y., Assmann, K. M., Rolandsson, J., Dutrieux, P., Gobat, J., Beem, L., Richter, T., Buhl, D., and Durand, I.: The Amundsen Sea Expedition (ANA08B): IBRV Araon, 21 December 2017 – 13 February 2018 – Chapther 1: Physical Oceanography, Tech. rep., Korea Polar Research Institute, Incheon, https://repository.kopri.re.kr/handle/201206/9441, 2018. Larter, R., Barham, M., Boehme, L., Braddock, S., Graham, A., Hogan, K., Mazur, A., Minzoni, R., Queste, B., Sheehan, P., Spoth, M., Wåhlin, A., Bortolotto-d'Oliveira, G., Clark, R. W., Fitzgerald, V., Karam, S., Kirkham, J., Stedt, F., Zheng, Y., Beeler, C., Goodell, J., Rush, E., Snow, T., Welzenbach, L., Andersson, J., and Rolandsson, J.: Cruise NBP1902, RVIB Nathaniel B. Palmer, Jan 29 – Mar 25 2019, Tech. rep., United States Antarctic Program, http://doi.org/10.7284/908147, 2019. Nakayama, Y., Schröder, M., and Hellmer, H. H.: From circumpolar deep water to the glacial meltwater plume on the eastern Amundsen Shelf, Deep Sea Res. I, 77, 50–62, 2013. Swedish Polar Research Secretariat: Oden Southern Ocean 2009/10 - Conductivity-Temperature-Depth (CTD) Data Collected Onboard Icebreaker Oden during February through March 2010, Tech. rep., Swedish Polar Research, http://snd.gu.se/en/catalogue/dataset/ecds0220-1, 2010. Webber, B. G. M., Heywood, K. J., Stevens, D. P., Dutrieux, P., Abrahamsen, E. P., Jenkins, A., Jacobs, S. S., Ha, H. K., Lee, S. H., and Kim, T. W.: Mechanisms driving variability in the ocean forcing of Pine Island Glacier, Nature Communications, 8, 1–8, 2017. Wellner, J.: Cruise NBP2002, RVIB Nathaniel B. Palmer, Jan 25 2020 – Mar 08 2020, Tech. rep., United States Antarctic Program, http://doi.org/10.7284/908803, 2019.

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