cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.922535
title: Particulate geochemistry of sediment core M136_471-1

description: Replicate Information: 1: pore water sample from pore water pressA: pore water sample from pore water pressRh: pore water sample from rhizonsZ: sample centrifugedGB: sample treated in glove bagSP: syringe samples form BIGOPP: sample for physical propertiesA/Br: sample for bromide experimentP: pore water pressK1: BIGO chamber 1K2: BIGO chamber 2AA: measured with autoanalyzerF/T/Z: Frozen/thawed/centrifuged
DOI: 10.1594/pangaea.922536
title: Particulate geochemistry of sediment core M136_483-1

description: Replicate Information: 1: pore water sample from pore water pressA: pore water sample from pore water pressRh: pore water sample from rhizonsZ: sample centrifugedGB: sample treated in glove bagSP: syringe samples form BIGOPP: sample for physical propertiesA/Br: sample for bromide experimentP: pore water pressK1: BIGO chamber 1K2: BIGO chamber 2AA: measured with autoanalyzerF/T/Z: Frozen/thawed/centrifuged
DOI: 10.1594/pangaea.922537
title: Particulate geochemistry of sediment core M136_488-1

description: Replicate Information: 1: pore water sample from pore water pressA: pore water sample from pore water pressRh: pore water sample from rhizonsZ: sample centrifugedGB: sample treated in glove bagSP: syringe samples form BIGOPP: sample for physical propertiesA/Br: sample for bromide experimentP: pore water pressK1: BIGO chamber 1K2: BIGO chamber 2AA: measured with autoanalyzerF/T/Z: Frozen/thawed/centrifuged
DOI: 10.1594/pangaea.922538
title: Particulate geochemistry of sediment core M136_503-1

description: Replicate Information: 1: pore water sample from pore water pressA: pore water sample from pore water pressRh: pore water sample from rhizonsZ: sample centrifugedGB: sample treated in glove bagSP: syringe samples form BIGOPP: sample for physical propertiesA/Br: sample for bromide experimentP: pore water pressK1: BIGO chamber 1K2: BIGO chamber 2AA: measured with autoanalyzerF/T/Z: Frozen/thawed/centrifuged
DOI: 10.1594/pangaea.922539
title: Particulate geochemistry of sediment core M136_533-1

description: Replicate Information: 1: pore water sample from pore water pressA: pore water sample from pore water pressRh: pore water sample from rhizonsZ: sample centrifugedGB: sample treated in glove bagSP: syringe samples form BIGOPP: sample for physical propertiesA/Br: sample for bromide experimentP: pore water pressK1: BIGO chamber 1K2: BIGO chamber 2AA: measured with autoanalyzerF/T/Z: Frozen/thawed/centrifuged
DOI: 10.1594/pangaea.922540
title: Particulate geochemistry of sediment core M136_543-1

description: Replicate Information: 1: pore water sample from pore water pressA: pore water sample from pore water pressRh: pore water sample from rhizonsZ: sample centrifugedGB: sample treated in glove bagSP: syringe samples form BIGOPP: sample for physical propertiesA/Br: sample for bromide experimentP: pore water pressK1: BIGO chamber 1K2: BIGO chamber 2AA: measured with autoanalyzerF/T/Z: Frozen/thawed/centrifuged
DOI: 10.1594/pangaea.922541
title: Particulate geochemistry of sediment core M136_545-1

description: Replicate Information: 1: pore water sample from pore water pressA: pore water sample from pore water pressRh: pore water sample from rhizonsZ: sample centrifugedGB: sample treated in glove bagSP: syringe samples form BIGOPP: sample for physical propertiesA/Br: sample for bromide experimentP: pore water pressK1: BIGO chamber 1K2: BIGO chamber 2AA: measured with autoanalyzerF/T/Z: Frozen/thawed/centrifuged
DOI: 10.1594/pangaea.922542
title: Particulate geochemistry of sediment core M136_574-1 MUC 10A

description: 574MUC10A, 574MUC10B: two cores sectioned: with and without a thick surface bacterial mat.
DOI: 10.1594/pangaea.922543
title: Particulate geochemistry of sediment core M136_577-1

description: Replicate Information: 1: pore water sample from pore water pressA: pore water sample from pore water pressRh: pore water sample from rhizonsZ: sample centrifugedGB: sample treated in glove bagSP: syringe samples form BIGOPP: sample for physical propertiesA/Br: sample for bromide experimentP: pore water pressK1: BIGO chamber 1K2: BIGO chamber 2AA: measured with autoanalyzerF/T/Z: Frozen/thawed/centrifuged
DOI: 10.1594/pangaea.922544
title: Particulate geochemistry of sediment core M136_588-1 MUC12A

description: Replicate Information: 1: pore water sample from pore water pressA: pore water sample from pore water pressRh: pore water sample from rhizonsZ: sample centrifugedGB: sample treated in glove bagSP: syringe samples form BIGOPP: sample for physical propertiesA/Br: sample for bromide experimentP: pore water pressK1: BIGO chamber 1K2: BIGO chamber 2AA: measured with autoanalyzerF/T/Z: Frozen/thawed/centrifuged
DOI: 10.1594/pangaea.922545
title: Excess 210Pb of sediment cores during METEOR cruise M136

description: Replicate Information: 1: pore water sample from pore water pressA: pore water sample from pore water pressRh: pore water sample from rhizonsZ: sample centrifugedGB: sample treated in glove bagSP: syringe samples form BIGOPP: sample for physical propertiesA/Br: sample for bromide experimentP: pore water pressK1: BIGO chamber 1K2: BIGO chamber 2AA: measured with autoanalyzerF/T/Z: Frozen/thawed/centrifuged
DOI: 10.1594/pangaea.923172
title: Porewater geochemistry of sediment core M137_596-1
DOI: 10.1594/pangaea.923233
title: Porewater geochemistry of sediment core M137_772-1

description: Cores were incubated for experiments. C2 = control core, R2 = replicate core
DOI: 10.1594/pangaea.923238
title: Excess 210Pb of sediment cores during METEOR cruise M137
DOI: 10.1594/pangaea.923479
title: Particulate geochemistry of sediment core M137_614-1-K2
DOI: 10.1594/pangaea.923485
title: Particulate geochemistry of sediment core M137_754-1-K2
DOI: 10.1594/pangaea.923486
title: Particulate geochemistry of sediment core M137_791-1-K2
DOI: 10.1594/pangaea.923487
title: Particulate geochemistry of sediment core M137_817-1-K2
DOI: 10.1594/pangaea.923488
title: Particulate geochemistry of sediment core M137_830-1-K2
DOI: 10.1594/pangaea.923502
title: Particulate geochemistry of sediment core M137_642-1-K2
DOI: 10.1594/pangaea.923503
title: Particulate geochemistry of sediment core M137_656-1-K2
DOI: 10.1594/pangaea.923504
title: Particulate geochemistry of sediment core M137_684-1-K2
DOI: 10.1594/pangaea.923505
title: Particulate geochemistry of sediment core M137_696-1-K2
DOI: 10.1594/pangaea.923506
title: Particulate geochemistry of sediment core M137_739-1-K2
DOI: 10.1594/pangaea.924047
title: Particulate geochemistry of sediment core M136_588-1 MUC12B

description: Replicate Information:1: pore water sample from pore water pressA: pore water sample from pore water pressRh: pore water sample from rhizonsZ: sample centrifugedGB: sample treated in glove bagSP: syringe samples form BIGOPP: sample for physical propertiesA/Br: sample for bromide experimentP: pore water pressK1: BIGO chamber 1K2: BIGO chamber 2AA: measured with autoanalyzerF/T/Z: Frozen/thawed/centrifuged
DOI: 10.1594/pangaea.924049
title: Whale sightings during POLARSTERN cruise PS95.2 (ANT-XXXI/1.2)

description: Data on whale distribution and abundance in the polar oceans is rather sparse, as implementing the standard surveying method, line-transect surveys, is challenging and costly. To overcome this problem, we initiated a program to electronically log all opportunistic cetacean sightings during all Polarstern expeditions through the nautical officer on watch. Opportunistic (visual) sightings by naked eye were logged during Polarstern Cruise PS95.2 (Las Palmas – Cape Town) by the nautical officer on duty using a customized Software package (WALOG, WhAleLOGger) installed on a touch screen laptop located on the ship's bridge. Species were identified by naked eye or handheld binoculars (7x50) to the lowest possible taxonomical level and assigned a “certainty” level of identification. The number of animals were counted if possible or estimated for larger groups. Whenever identification to species level was not possible, the next identifiable taxonomical category was assigned. Information on sighting position, date and time are automatically transferred from the ship's DAVIS-Ship System (https://dship.awi.de/) to the WALOG software at the time of logging. Photographs were taken if possible for retrospective analysis. All data of acquired sightings were retrospectively validated by a marine biologist and converted to a standard format. To this end, plausibility of sighting time, location, standardization of species names, eventual comments added at the time of sighting, as well as additional information such as photographs (if available) were checked either to verify or improve species identification. Datasets are used in species distribution modelling and to inform interested parties about occurrences.
description: Date/Time is given in UTC. Certainty of identification: definite if observer clearly identified the species. The number of individuals is binned according to the options given in the data acquisition software: 1, 2, 3, less equal 5, less equal 10, greater than 10, greater than 20. More precise values may exist, due to observer comments.
DOI: 10.1594/pangaea.924050
title: Whale sightings during POLARSTERN cruise PS95.1 (ANT-XXXI/1.1)

description: Data on whale distribution and abundance in the polar oceans is rather sparse, as implementing the standard surveying method, line-transect surveys, is challenging and costly. To overcome this problem, we initiated a program to electronically log all opportunistic cetacean sightings during all Polarstern expeditions through the nautical officer on watch. Opportunistic (visual) sightings by naked eye were logged during Polarstern Cruise PS95.1 (Bremerhaven - Las Palmas) by the nautical officer on duty using a customized Software package (WALOG, WhAleLOGger) installed on a touch screen laptop located on the ship's bridge. Species were identified by naked eye or handheld binoculars (7x50) to the lowest possible taxonomical level and assigned a “certainty” level of identification. The number of animals were counted if possible or estimated for larger groups. Whenever identification to species level was not possible, the next identifiable taxonomical category was assigned. Information on sighting position, date and time are automatically transferred from the ship's DAVIS-Ship System (https://dship.awi.de/) to the WALOG software at the time of logging. Photographs were taken if possible for retrospective analysis. All data of acquired sightings were retrospectively validated by a marine biologist and converted to a standard format. To this end, plausibility of sighting time, location, standardization of species names, eventual comments added at the time of sighting, as well as additional information such as photographs (if available) were checked either to verify or improve species identification. Datasets are used in species distribution modelling and to inform interested parties about occurrences.
description: Date/Time is given in UTC. Certainty of identification: definite if observer clearly identified the species. The number of individuals is binned according to the options given in the data acquisition software: 1, 2, 3, less equal 5, less equal 10, greater than 10, greater than 20. More precise values may exist, due to observer comments.
DOI: 10.1594/pangaea.924053
title: Whale sightings during POLARSTERN cruise PS111 (ANT-XXXIII/2)

description: Data on whale distribution and abundance in the polar oceans is rather sparse, as implementing the standard surveying method, line-transect surveys, is challenging and costly. To overcome this problem, we initiated a program to electronically log all opportunistic cetacean sightings during all Polarstern expeditions through the nautical officer on watch. Opportunistic (visual) sightings by naked eye were logged during Polarstern Cruise PS111 (Cape Town - Punta Arenas) by the nautical officer on duty using a customized Software package (WALOG, WhAleLOGger) installed on a touch screen laptop located on the ship's bridge. Species were identified by naked eye or handheld binoculars (7x50) to the lowest possible taxonomical level and assigned a “certainty” level of identification. The number of animals were counted if possible or estimated for larger groups. Whenever identification to species level was not possible, the next identifiable taxonomical category was assigned. Information on sighting position, date and time are automatically transferred from the ship's DAVIS-Ship System (https://dship.awi.de/) to the WALOG software at the time of logging. Photographs were taken if possible for retrospective analysis. All data of acquired sightings were retrospectively validated by a marine biologist and converted to a standard format. To this end, plausibility of sighting time, location, standardization of species names, eventual comments added at the time of sighting, as well as additional information such as photographs (if available) were checked either to verify or improve species identification. Datasets are used in species distribution modelling and to inform interested parties about occurrences.
description: Date/Time is given in UTC. Certainty of identification: definite if observer clearly identified the species. The number of individuals is binned according to the options given in the data acquisition software: 1, 2, 3, less equal 5, less equal 10, greater than 10, greater than 20. More precise values may exist, due to observer comments.
DOI: 10.1594/pangaea.922868
title: Microbial community composition and polysaccharide processing potential in the South Pacific Gyre

description: The South Pacific Gyre (SPG) covers 10% of the ocean's surface and is considered a marine biological desert. However, recent investigations have shown that primary production occurs throughout its deep euphotic zone and that this fuels the regeneration of nutrients and the recycling of organic matter. We set out to investigate the SPG's microbial communities' heterotrophic capability to utilize polysaccharides, an important marine organic matter component. Using fluorescently labeled polysaccharide (FLA-PS) incubations (Reintjes, et al., 2017), we analyzed the initial step of organic matter degradation by measuring both the rate of external hydrolysis and the rate of direct uptake of polysaccharides by marine microorganisms. Furthermore, we investigated the change in bacterial abundance and diversity during the FLA-PS incubations using direct cell counts and 16S rRNA sequencing. The presented dataset contains the microbial diversity, total cellular abundance, and direct FLA-PS uptake results generated during the FLA-PS incubations performed with six polysaccharides (laminarin, xylan, chondroitin sulfate, arabinogalactan, fucoidan, and pullulan) over 18 days. The incubations were performed with seawater from the epipelagic and bathypelagic (75 m, 160 m, 1250 m, and 2800 m) in the central gyre, and seawater from the epipelagic (75 m) at two stations adjacent to the gyre. Our study found that the SPG's microbial community showed remarkably high extracellular enzyme activities, and a considerable fraction of the microorganisms were capable of the direct uptake (selfish-uptake) of FLA-PS. Interestingly, a wide variety of bacteria were capable of cycling HMW organic matter using distinct polysaccharide processing mechanisms in the SPG. This research shows that the SPG features not only organisms capable of existing on the fine edge of minimal substrate concentrations but also those capable of taking advantage of abrupt changes in physical conditions and substrate availability
description: &lt;0.01 = n.a.Hydrolysis rates were measured as the change in polysaccharide molecular weight as a function of time, as determined via gel permeation chromatography with fluorescence detection (Arnosti, 2003; doi:10.3389/fmicb.2020.583158). Unit: rate.x.nM.L.hr (x being the individual substrate, highlighted in column 11 - Substrate Type).
DOI: 10.1594/pangaea.924063
title: Particulate geochemistry of sediment core M136_444-1

description: (1 control core, 2 replicates): cores for onbord incubation experiments
DOI: 10.1594/pangaea.925550
title: Acoustic Doppler Current Profiler (ADCP) data of Sites GeoB22716-1
DOI: 10.1594/pangaea.924698
title: Whale sightings during POLARSTERN cruise PS106/1 (ARK-XXXI/1.1)

description: Data on whale distribution and abundance in the polar oceans is rather sparse, as implementing the standard surveying method, line-transect surveys, is challenging and costly. To overcome this problem, we initiated a program to electronically log all opportunistic cetacean sightings during all Polarstern expeditions through the nautical officer on watch. Opportunistic (visual) sightings by naked eye were logged during Polarstern Cruise PS106/1 (Bremerhaven - Longyearbyen) by the nautical officer on duty using a customized Software package (WALOG, WhAleLOGger) installed on a touch screen laptop located on the ship's bridge. Species were identified by naked eye or handheld binoculars (7x50) to the lowest possible taxonomical level and assigned a “certainty” level of identification. The number of animals were counted if possible or estimated for larger groups. Whenever identification to species level was not possible, the next identifiable taxonomical category was assigned. Information on sighting position, date and time are automatically transferred from the ship's DAVIS-Ship System (https://dship.awi.de/) to the WALOG software at the time of logging. Photographs were taken if possible for retrospective analysis. All data of acquired sightings were retrospectively validated by a marine biologist and converted to a standard format. To this end, plausibility of sighting time, location, standardization of species names, eventual comments added at the time of sighting, as well as additional information such as photographs (if available) were checked either to verify or improve species identification. Datasets are used in species distribution modelling and to inform interested parties about occurrences.
description: Date/Time is given in UTC. Certainty of identification: definite if observer clearly identified the species. The number of individuals is binned according to the options given in the data acquisition software: 1, 2, 3, less equal 5, less equal 10, greater than 10, greater than 20. More precise values may exist, due to observer comments.
DOI: 10.1594/pangaea.924699
title: Whale sightings during POLARSTERN cruise PS101 (ARK-XXX/3)

description: Data on whale distribution and abundance in the polar oceans is rather sparse, as implementing the standard surveying method, line-transect surveys, is challenging and costly. To overcome this problem, we initiated a program to electronically log all opportunistic cetacean sightings during all Polarstern expeditions through the nautical officer on watch. Opportunistic (visual) sightings by naked eye were logged during Polarstern Cruise PS101 (Tromsø - Bremerhaven) by the nautical officer on duty using a customized Software package (WALOG, WhAleLOGger) installed on a touch screen laptop located on the ship's bridge. Species were identified by naked eye or handheld binoculars (7x50) to the lowest possible taxonomical level and assigned a “certainty” level of identification. The number of animals were counted if possible or estimated for larger groups. Whenever identification to species level was not possible, the next identifiable taxonomical category was assigned. Information on sighting position, date and time are automatically transferred from the ship's DAVIS-Ship System (https://dship.awi.de/) to the WALOG software at the time of logging. Photographs were taken if possible for retrospective analysis. All data of acquired sightings were retrospectively validated by a marine biologist and converted to a standard format. To this end, plausibility of sighting time, location, standardization of species names, eventual comments added at the time of sighting, as well as additional information such as photographs (if available) were checked either to verify or improve species identification. Datasets are used in species distribution modelling and to inform interested parties about occurrences.
description: Date/Time is given in UTC. Certainty of identification: definite if observer clearly identified the species. The number of individuals is binned according to the options given in the data acquisition software: 1, 2, 3, less equal 5, less equal 10, greater than 10, greater than 20. More precise values may exist, due to observer comments.
DOI: 10.1594/pangaea.924703
title: Whale sightings during POLARSTERN cruise PS99.1 (ARK-XXX/1.1)

description: Data on whale distribution and abundance in the polar oceans is rather sparse, as implementing the standard surveying method, line-transect surveys, is challenging and costly. To overcome this problem, we initiated a program to electronically log all opportunistic cetacean sightings during all Polarstern expeditions through the nautical officer on watch. Opportunistic (visual) sightings by naked eye were logged during Polarstern Cruise PS99.1 (Bremerhaven - Longyearbyen) by the nautical officer on duty using a customized Software package (WALOG, WhAleLOGger) installed on a touch screen laptop located on the ship's bridge. Species were identified by naked eye or handheld binoculars (7x50) to the lowest possible taxonomical level and assigned a “certainty” level of identification. The number of animals were counted if possible or estimated for larger groups. Whenever identification to species level was not possible, the next identifiable taxonomical category was assigned. Information on sighting position, date and time are automatically transferred from the ship's DAVIS-Ship System (https://dship.awi.de/) to the WALOG software at the time of logging. Photographs were taken if possible for retrospective analysis. All data of acquired sightings were retrospectively validated by a marine biologist and converted to a standard format. To this end, plausibility of sighting time, location, standardization of species names, eventual comments added at the time of sighting, as well as additional information such as photographs (if available) were checked either to verify or improve species identification. Datasets are used in species distribution modelling and to inform interested parties about occurrences.
description: Date/Time is given in UTC. Certainty of identification: definite if observer clearly identified the species. The number of individuals is binned according to the options given in the data acquisition software: 1, 2, 3, less equal 5, less equal 10, greater than 10, greater than 20. More precise values may exist, due to observer comments.