cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.941215
title: Whale sightings during POLARSTERN cruise PS123

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 PS123 (Bremerhaven – Port Stanley) 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.Data on visual cetacean sightings are collected systematically during all Polarstern expeditions by the nautical officer on duty, rendering WALOG to be "on effort" continuously. To log sightings, nautical officers are provided with the customized Software package (WALOG, WhAleLOGger) installed on a touch screen laptop located on the ship's bridge. However, during Polarstern expedition PS123 (Bremerhaven – Port Stanley), a malfunctioning of WALOG prevented its use altogether. Hence WALOG has to be considered "off effort" for this expedition. From a statistical point of view, this situation differs from expeditions where WALOG was "on effort", but no sightings were logged, i.e. a null sample.
DOI: 10.1594/pangaea.941596
title: Hepatozyten Respiration obtained using intermittent-flow respirometry
DOI: 10.1594/pangaea.941684
title: Planktic foraminiferal biostratigraphy of ODP Hole 171-1049C (Table S1)

description: Dataset showing numerical abundance counts on microsplits of the &gt;150 micron fraction (non-zero numbers) and presence-absence observations (“0” and “x” entries) from the &gt;63 micron fraction. Asterisks following sample numbers indicate small sample size.
DOI: 10.1594/pangaea.941689
title: Planktic foraminiferal biostratigraphy of ODP Hole 171-1050C (TAble S2)

description: Dataset showing numerical abundance counts on microsplits of the &gt;150 micron fraction (non-zero numbers) and presence-absence observations (“0” and “x” entries) from the &gt;63 micron fraction. Asterisks following sample numbers indicate small sample size.
DOI: 10.1594/pangaea.941690
title: Planktic foraminiferal biostratigraphy of ODP Hole 171-1052E (Table S3)

description: Dataset showing numerical abundance counts on microsplits of the &gt;150 micron fraction (non-zero numbers) and presence-absence observations (“0” and “x” entries) from the &gt;63 micron fraction. Asterisks following sample numbers indicate small sample size.
DOI: 10.1594/pangaea.942052
title: Geochemistry of Globigerinoides ruber ss and paleoceanographic reconstruction of sediment core SO188/2_342
DOI: 10.15468/dl.333vcq
title: Occurrence Download

description: A dataset containing 350 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tradescantia zebrina var. zebrina)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 350 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094304-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.943285
title: Whale sightings during POLARSTERN cruise PS121

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 PS121 (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.942828
title: Wet chemical surface ozone measurements during Anton Dohrn cruise 110 in 1981

description: These are the result of Ozone measurement on the voyage AD110 of the fisheries research ship Anton Dohrn. On average, there is a decrease in ozone towards the north, both on the outward and return journey. The variations are caused by meteorological factors. The device worked reliably.
description: Positions might be approximate.
DOI: 10.1594/pangaea.942832
title: Wet chemical surface ozone measurements during Anton Dohrn cruise 119 in 1982

description: The voyage 119 of the fisheries research ship Anton Dohrn served to investigate fish stocks. On August 8th, 1982, there was a marked peak in the ozone mixing ratio in connection with the passage of an occlusion during the return journey. The ozone mixing ratio generally decreased northward on both the outward and return voyages. The device worked reliably.
description: Positions might be approximate.
DOI: 10.15468/dl.gebzh3
title: Occurrence Download

description: A dataset containing 938 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mesastrape fulguraria (Walker, 1860)"
 ]
}

 The dataset includes 938 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094306-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.943286
title: Whale sightings during POLARSTERN cruise PS83 (ANT-XXIX/10)

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 PS83 (Cape Town – 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.942580
title: Albedo measurements from radiation station 2020R22

description: Solar radiation over and under sea ice was measured by radiation station 2020R22, an autonomous platform, installed on drifting sea ice in the Arctic Ocean during MOSAiC (Leg 5) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 21 August 2020 and 12 September 2020 in sample intervals of 10 minutes. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance.
description: The data set has been processed and contains quality flags for different kinds for erroneous data. Flag values are the sum of individual error codes. The value of 0 refers to no error. Quality flag, sun: If the suns position is close to the horizon, the radiometers measure a very noisy signal. Radiometer measurements and variables which are computed from them are flagged +1 if the sun elevation is below 10 degrees; +2 if the broad band albedo exceeds the threshold 1.05 .
DOI: 10.1594/pangaea.942597
title: Incident irradiance at 1 m above sea ice from radiation station 2020R22

description: Solar radiation over and under sea ice was measured by radiation station 2020R22, an autonomous platform, installed on drifting sea ice in the Arctic Ocean during MOSAiC (Leg 5) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 21 August 2020 and 12 September 2020 in sample intervals of 10 minutes. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance.
description: The data set has been processed and contains quality flags for different kinds for erroneous data. Flag values are the sum of individual error codes. The value of 0 refers to no error. Quality flag, sun: If the suns position is close to the horizon, the radiometers measure a very noisy signal. Radiometer measurements and variables which are computed from them are flagged +1 if the sun elevation is below 10 degrees; +2 if the broad band albedo exceeds the threshold 1.05 .
DOI: 10.1594/pangaea.942599
title: Reflected irradiance at the sea surface from radiation station 2020R22

description: Solar radiation over and under sea ice was measured by radiation station 2020R22, an autonomous platform, installed on drifting sea ice in the Arctic Ocean during MOSAiC (Leg 5) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 21 August 2020 and 12 September 2020 in sample intervals of 10 minutes. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance.
description: The data set has been processed and contains quality flags for different kinds for erroneous data. Flag values are the sum of individual error codes. The value of 0 refers to no error. Quality flag, sun: If the suns position is close to the horizon, the radiometers measure a very noisy signal. Radiometer measurements and variables which are computed from them are flagged +1 if the sun elevation is below 10 degrees; +2 if the broad band albedo exceeds the threshold 1.05 .
DOI: 10.1594/pangaea.942600
title: Transmitted irradiance through sea ice from radiation station 2020R22

description: Solar radiation over and under sea ice was measured by radiation station 2020R22, an autonomous platform, installed on drifting sea ice in the Arctic Ocean during MOSAiC (Leg 5) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 21 August 2020 and 12 September 2020 in sample intervals of 10 minutes. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance.
description: The data set has been processed and contains quality flags for different kinds for erroneous data. Flag values are the sum of individual error codes. The value of 0 refers to no error. Quality flag, sun: If the suns position is close to the horizon, the radiometers measure a very noisy signal. Radiometer measurements and variables which are computed from them are flagged +1 if the sun elevation is below 10 degrees; +2 if the broad band albedo exceeds the threshold 1.05 .
DOI: 10.1594/pangaea.942601
title: Transmittance through sea ice from radiation station 2020R22

description: Solar radiation over and under sea ice was measured by radiation station 2020R22, an autonomous platform, installed on drifting sea ice in the Arctic Ocean during MOSAiC (Leg 5) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 21 August 2020 and 12 September 2020 in sample intervals of 10 minutes. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance.
description: The data set has been processed and contains quality flags for different kinds for erroneous data. Flag values are the sum of individual error codes. The value of 0 refers to no error. Quality flag, sun: If the suns position is close to the horizon, the radiometers measure a very noisy signal. Radiometer measurements and variables which are computed from them are flagged +1 if the sun elevation is below 10 degrees; +2 if the broad band albedo exceeds the threshold 1.05
DOI: 10.15468/dl.qc6x7d
title: Occurrence Download

description: A dataset containing 1377 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Commelina erecta subsp. erecta)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1377 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094305-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.944872
title: Airborne sea ice plus snow thickness in the Weddell Sea from helicopter flight HELI20130619 during POLARSTERN cruise PS81 (ANT-XXIX/6)
DOI: 10.1594/pangaea.944873
title: Airborne sea ice plus snow thickness in the Weddell Sea from helicopter flight HELI20130620 during POLARSTERN cruise PS81 (ANT-XXIX/6)
DOI: 10.1594/pangaea.944874
title: Airborne sea ice plus snow thickness in the Weddell Sea from helicopter flight HELI20130621 during POLARSTERN cruise PS81 (ANT-XXIX/6)
DOI: 10.1594/pangaea.944875
title: Airborne sea ice plus snow thickness in the Weddell Sea from helicopter flight HELI20130707 during POLARSTERN cruise PS81 (ANT-XXIX/6)
DOI: 10.1594/pangaea.944876
title: Airborne sea ice plus snow thickness in the Weddell Sea from helicopter flight HELI20130802 during POLARSTERN cruise PS81 (ANT-XXIX/6)
DOI: 10.1594/pangaea.944878
title: Airborne sea ice plus snow thickness in the Weddell Sea from helicopter flight HELI20130804 during POLARSTERN cruise PS81 (ANT-XXIX/6)
DOI: 10.1594/pangaea.943277
title: Whale sightings during POLARSTERN cruise PS89 (ANT-XXX/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 PS89 (Cape Town – 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.943279
title: Whale sightings during POLARSTERN cruise PS90 (ANT-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 PS90 (Cape Town – 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.