cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.924704
title: Whale sightings during POLARSTERN cruise PS94 (ARK-XXIX/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 PS94 (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.924707
title: Whale sightings during POLARSTERN cruise PS92 (ARK-XXIX/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 PS92 (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.924708
title: Whale sightings during POLARSTERN cruise PS87 (ARK-XXVIII/4)

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 PS87 (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.924710
title: Whale sightings during POLARSTERN cruise PS85 (ARK-XXVIII/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 PS85 (Bremerhaven - Tromsø) 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.924712
title: Whale sightings during POLARSTERN cruise ARK-XXIII/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 ARK-XXIII/3 (Reykjavik - 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.924714
title: Whale sightings during POLARSTERN cruise ARK-XXIII/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 ARK-XXIII/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.924717
title: Whale sightings during POLARSTERN cruise ARK XXII/1a

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 ARK XXII/1a (Bremerhaven - Tromsø) 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.926674
title: Polychaete fauna belonging to family Polynoidae of the Clarion-Clipperton Fracture Zone sampled during SONNE cruise SO239

description: The dataset contains polychaete abundance data belonging to the family Polynoidae sampled using epibenthic sledge, ROV and box corer (BC; 0.25 m2) within the eastern Clarion Clipperton fracture Zone (northeast Pacific), an area currently being explored for polymetallic nodules. Macrobenthic samples were collected onboard RV Sonne during expedition SO239 in 2015. Four exploration contract areas (BGR, IOM, GSR and Ifremer) and one "Area of Particular Environmental Interest" (APEI#3) were sampled. Eight out of twelve epibenthic sledges samples were fully processed. All polynoids heads have been counted, sequenced and identified. Identifications were realized using morphology and DNA (COI, 16S and 18S genes) leading to morphospecies in most cases (species-level). DNA sequences are available in GenBank or BOLD databases with their respective codes in this dataset.
DOI: 10.1594/pangaea.924569
title: Whale sightings during POLARSTERN cruise PS115/2

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 PS115/2 (Longyearbyen - 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.925064
title: High-resolution oxygen sensor data during METEOR cruise M133: Cape Town to the Falklands

description: Flow-through pCO2, Temp/Sal, and O2 measurements across the Atlantic (Meteor M133 cruise 2016/17) from Cape Town, SA to Stanley, The Falkland Islands. Surface water flow-through system set up on R.V. Meteor M133 (15.12.2016 - 13.01.2017), across the Atlantic. All sensors ran on the same water in a complete flow-through sensor set-up. Depth of pumps: 5.7m from the moon pool Flow rate: ~ 5-6 L/min All data was processed following Canning et al., 2020 (In Review). Sensor data in separate files. Sensors: pCO2: CONTROS HydroC CO2 FT - formerly Kongsberg Maritime Contros GmbH, Kiel, Germany; now -4H-JENA engineering GmbH, Jena, Germany O2: CONTROS HydroFlash O2 - formerly Kongsberg Maritime Contros GmbH, Kiel, Germany SBE 45 Micro Thermosalinograph - Sea-Bird Electronics, Bellevue, USA D-SHIP data from the ships SBE 38 and 21 for sea surface temperature and salinity. Latitude and longitude also from the D-SHIP. All sensors combined together in the same flow-through set-up.
DOI: 10.1594/pangaea.925068
title: High-resolution pCO2 sensor data during METEOR cruise M133: Cape Town to the Falklands

description: Flow-through pCO2, Temp/Sal, and O2 measurements across the Atlantic (Meteor M133 cruise 2016/17) from Cape Town, SA to Stanley, The Falkland Islands. Surface water flow-through system set up on R.V. Meteor M133 (15.12.2016 - 13.01.2017), across the Atlantic. All sensors ran on the same water in a complete flow-through sensor set-up. Depth of pumps: 5.7m from the moon pool Flow rate: ~ 5-6 L/min All data was processed following Canning et al., 2020 (In Review). Sensor data in separate files.Sensors:pCO2: CONTROS HydroC CO2 FT - formerly Kongsberg Maritime Contros GmbH, Kiel, Germany; now -4H-JENA engineering GmbH, Jena, GermanyO2: CONTROS HydroFlash O2 - formerly Kongsberg Maritime Contros GmbH, Kiel, GermanySBE 45 Micro Thermosalinograph - Sea-Bird Electronics, Bellevue, USAD-SHIP data from the ships SBE 38 and 21 for sea surface temperature and salinity. Latitude and longitude also from the D-SHIP. All sensors combined together in the same flow-through set-up.
DOI: 10.1594/pangaea.926092
title: Measurements from the continuos underway sampling of RV Polarstern of Fe(II), chlorophyll a and photosynthetic efficiency (FV/FM), Day 6

description: Measurements from the continuos underway sampling of RV Polarstern (11 m deep) of Fe(II) in unfiltered seawater, chlorophyll a and photosynthetic efficiency (FV/FM) in ship transects across the fertilized patch boundaries.
DOI: 10.1594/pangaea.926093
title: Measurements from the continuos underway sampling of RV Polarstern of Fe(II), chlorophyll a and photosynthetic efficiency (FV/FM), Day 9

description: Measurements from the continuos underway sampling of RV Polarstern (11 m deep) of Fe(II) in unfiltered seawater, chlorophyll a and photosynthetic efficiency (FV/FM) in ship transects across the fertilized patch boundaries.
DOI: 10.1594/pangaea.926095
title: Measurements from the continuos underway sampling of RV Polarstern of Fe(II), chlorophyll a and photosynthetic efficiency (FV/FM), Day 18

description: Measurements from the continuos underway sampling of RV Polarstern (11 m deep) of Fe(II) in unfiltered seawater, chlorophyll a and photosynthetic efficiency (FV/FM) in ship transects across the fertilized patch boundaries.
DOI: 10.1594/pangaea.926097
title: Measurements from the continuos underway sampling of RV Polarstern of Fe(II), chlorophyll a and photosynthetic efficiency (FV/FM), Day 23

description: Measurements from the continuos underway sampling of RV Polarstern (11 m deep) of Fe(II) in unfiltered seawater, chlorophyll a and photosynthetic efficiency (FV/FM) in ship transects across the fertilized patch boundaries.
DOI: 10.1594/pangaea.926098
title: Measurements from the continuos underway sampling of RV Polarstern of Fe(II), chlorophyll a and photosynthetic efficiency (FV/FM), Day 24

description: Measurements from the continuos underway sampling of RV Polarstern (11 m deep) of Fe(II) in unfiltered seawater, chlorophyll a and photosynthetic efficiency (FV/FM) in ship transects across the fertilized patch boundaries.
DOI: 10.1594/pangaea.926099
title: Measurements from the continuos underway sampling of RV Polarstern of Fe(II), chlorophyll a and photosynthetic efficiency (FV/FM), Day 25

description: Measurements from the continuos underway sampling of RV Polarstern (11 m deep) of Fe(II) in unfiltered seawater, chlorophyll a and photosynthetic efficiency (FV/FM) in ship transects across the fertilized patch boundaries.
DOI: 10.1594/pangaea.926100
title: Measurements from the continuos underway sampling of RV Polarstern of Fe(II), chlorophyll a and photosynthetic efficiency (FV/FM), Day 27

description: Measurements from the continuos underway sampling of RV Polarstern (11 m deep) of Fe(II) in unfiltered seawater, chlorophyll a and photosynthetic efficiency (FV/FM) in ship transects across the fertilized patch boundaries.
DOI: 10.1594/pangaea.926101
title: Measurements from the continuos underway sampling of RV Polarstern of Fe(II), chlorophyll a and photosynthetic efficiency (FV/FM), Day 27 Night

description: Measurements from the continuos underway sampling of RV Polarstern (11 m deep) of Fe(II) in unfiltered seawater, chlorophyll a and photosynthetic efficiency (FV/FM) in ship transects across the fertilized patch boundaries.
DOI: 10.1594/pangaea.926103
title: Iron measueremts of CTD casts during LOHAFEX expedition

description: Total dissolved iron measured by ICPMS and voltammetrty (Laglera etal 2017) and Fe(II) concentrations measured by chemiluminescence in filtered (0.2 microm) and unfiltered samples during the LOHAEFX experiment. Stations sampling fertilized or non-fertilized waters are labelled as IN and OUT.