cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.964868
title: Whale sightings during POLARSTERN cruise PS134

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 PS134 (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.921360
title: Chemostratigraphy of sediment core JC138-39GC

description: The chemostratigraphy of sediment core JC138-39GC was analysed with the ITRAX core-scanning X-ray fluorescence system (Cox Analytical Systems) at BOSCORF. The ITRAX produced a digital X-radiograph for each core, and then returned to the start point and underwent XRF analyses for the elements in the range of molar weight from Si to U. The instrument was operated at a voltage of 30 kV, a current of 30 mA, a count time of 30 s with a 3kW Mo X-ray tube.
DOI: 10.1594/pangaea.964778
title: Whale sightings during POLARSTERN cruise PS135/1

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 PS135/1 (Punta Arenas - Mindelo) 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.921352
title: Chemostratigraphy of sediment core JC138-022RD

description: The chemostratigraphy of sediment core JC138-22RD was analysed with the ITRAX core-scanning X-ray fluorescence system (Cox Analytical Systems) at BOSCORF. The ITRAX produced a digital X-radiograph for each core, and then returned to the start point and underwent XRF analyses for the elements in the range of molar weight from Si to U. The instrument was operated at a voltage of 30 kV, a current of 30 mA, a count time of 30 s with a 3kW Mo X-ray tube.
DOI: 10.1594/pangaea.921356
title: Chemostratigraphy of sediment core JC138-16GC

description: The chemostratigraphy of sediment core JC138-16GC was analysed with the ITRAX core-scanning X-ray fluorescence system (Cox Analytical Systems) at BOSCORF. The ITRAX produced a digital X-radiograph for each core, and then returned to the start point and underwent XRF analyses for the elements in the range of molar weight from Si to U. The instrument was operated at a voltage of 30 kV, a current of 30 mA, a count time of 30 s with a 3kW Mo X-ray tube.
DOI: 10.1594/pangaea.921358
title: Chemostratigraphy of sediment core JC138-28GC

description: The chemostratigraphy of sediment core JC138-28GC was analysed with the ITRAX core-scanning X-ray fluorescence system (Cox Analytical Systems) at BOSCORF. The ITRAX produced a digital X-radiograph for each core, and then returned to the start point and underwent XRF analyses for the elements in the range of molar weight from Si to U. The instrument was operated at a voltage of 30 kV, a current of 30 mA, a count time of 30 s with a 3kW Mo X-ray tube.
DOI: 10.1594/pangaea.921353
title: Chemostratigraphy of sediment core JC138-29GC

description: The chemostratigraphy of sediment core JC138-29GC was analysed with the ITRAX core-scanning X-ray fluorescence system (Cox Analytical Systems) at BOSCORF. The ITRAX produced a digital X-radiograph for each core, and then returned to the start point and underwent XRF analyses for the elements in the range of molar weight from Si to U. The instrument was operated at a voltage of 30 kV, a current of 30 mA, a count time of 30 s with a 3kW Mo X-ray tube.
DOI: 10.1594/pangaea.921354
title: Chemostratigraphy of sediment core JC138-031RD

description: The chemostratigraphy of sediment core JC138-31RD was analysed with the ITRAX core-scanning X-ray fluorescence system (Cox Analytical Systems) at BOSCORF. The ITRAX produced a digital X-radiograph for each core, and then returned to the start point and underwent XRF analyses for the elements in the range of molar weight from Si to U. The instrument was operated at a voltage of 30 kV, a current of 30 mA, a count time of 30 s with a 3kW Mo X-ray tube.
DOI: 10.1594/pangaea.921357
title: Chemostratigraphy of sediment core JC138-27GC

description: The chemostratigraphy of sediment core JC138-27GC was analysed with the ITRAX core-scanning X-ray fluorescence system (Cox Analytical Systems) at BOSCORF. The ITRAX produced a digital X-radiograph for each core, and then returned to the start point and underwent XRF analyses for the elements in the range of molar weight from Si to U. The instrument was operated at a voltage of 30 kV, a current of 30 mA, a count time of 30 s with a 3kW Mo X-ray tube.
DOI: 10.1594/pangaea.921359
title: Chemostratigraphy of sediment core JC138-38GC

description: The chemostratigraphy of sediment core JC138-38GC was analysed with the ITRAX core-scanning X-ray fluorescence system (Cox Analytical Systems) at BOSCORF. The ITRAX produced a digital X-radiograph for each core, and then returned to the start point and underwent XRF analyses for the elements in the range of molar weight from Si to U. The instrument was operated at a voltage of 30 kV, a current of 30 mA, a count time of 30 s with a 3kW Mo X-ray tube.
DOI: 10.1594/pangaea.921362
title: Chemostratigraphy of sediment core JC138-52GC

description: The chemostratigraphy of sediment core JC138-52GC was analysed with the ITRAX core-scanning X-ray fluorescence system (Cox Analytical Systems) at BOSCORF. The ITRAX produced a digital X-radiograph for each core, and then returned to the start point and underwent XRF analyses for the elements in the range of molar weight from Si to U. The instrument was operated at a voltage of 30 kV, a current of 30 mA, a count time of 30 s with a 3kW Mo X-ray tube.
DOI: 10.1594/pangaea.971662
title: Basic and other measurements of radiation at station Gobabeb (2024-07)
DOI: 10.5281/zenodo.10989821
title: Satellite-ground synchronous in-situ dataset of water parameters for typical lakes in China

description: The dataset includes 586 quality-checked remote sensing reflectance and water quality parameter data for 18 typical lakes in China, encompassing parameters such as remote sensing reflecance, chlorophyll a, total suspended matter, Secchi-disk depth, and water temperature.
DOI: 10.1594/pangaea.921361
title: Chemostratigraphy of sediment core JC138-49GC

description: The chemostratigraphy of sediment core JC138-49GC was analysed with the ITRAX core-scanning X-ray fluorescence system (Cox Analytical Systems) at BOSCORF. The ITRAX produced a digital X-radiograph for each core, and then returned to the start point and underwent XRF analyses for the elements in the range of molar weight from Si to U. The instrument was operated at a voltage of 30 kV, a current of 30 mA, a count time of 30 s with a 3kW Mo X-ray tube.
DOI: 10.5281/zenodo.10434390
title: Satellite-ground synchronous in-situ dataset of water optical parameters and surface temperature for typical lakes in China

description: Remote sensing technology has the potential to significantly enhance the lakes large-scale and long-term dynamic monitoring capabilities. High-quality in-situ datasets are essential for improving the accuracy and reliability of remote sensing retrieval of water optical parameters. This dataset provides satellite-ground synchronized in-situ data on water optical parameters for typical lakes in China spanning the period between 2020 and 2023. The dataset includes quality-checked remote sensing reflectance ( ) data and water optical parameter data for chlorophyll-a (Chl-a), total suspended matter (TSM), Secchi disk depth (SDD), andwater surface temperature (WST). It encompasses 586 sampling points across 18 lakes. The dataset exhibits two significant highlights: Firstly, synchronous observations from multiple satellites are coordinated during the data collection process, effectively supporting the retrieval and validation of water remote sensing products. Secondly, it encompasses diverse data types, collecting synchronous measurements of  and various water optical parameters. This dataset will be continuously updated, thereby making a substantial contribution to enhancing regional and global lake monitoring capabilities through satellite remote sensing data.
DOI: 10.5281/zenodo.10434391
title: Satellite-ground synchronous in-situ dataset of water parameters for typical lakes in China

description: The dataset includes 549 quality-checked remote sensing reflectance and water quality parameter data for 18 typical lakes in China, encompassing parameters such as chlorophyll a, total suspended matter, Secchi-disk depth, and water temperature.
DOI: 10.5281/zenodo.11613432
title: Satellite-ground synchronous in-situ dataset of water parameters for typical lakes in China

description: Remote sensing technology has the potential to significantly enhance the lakes large-scale and long-term dynamic monitoring capabilities. High-quality in-situ datasets are essential for improving the accuracy and reliability of remote sensing retrieval of water optical parameters. This dataset provides satellite-ground synchronized in-situ data on water optical parameters for typical lakes in China spanning the period between 2020 and 2023. The dataset includes quality-checked remote sensing reflectance ( ) data and water optical parameter data for chlorophyll-a (Chl-a), total suspended matter (TSM), Secchi disk depth (SDD), and lake water surface temperature (LWST). It encompasses 586 sampling points across 18 lakes. The dataset exhibits two significant highlights: Firstly, synchronous observations from multiple satellites are coordinated during the data collection process, effectively supporting the retrieval and validation of water remote sensing products. Secondly, it encompasses diverse data types, collecting synchronous measurements of   and various water optical parameters. This dataset will be continuously updated, thereby making a substantial contribution to enhancing regional and global lake monitoring capabilities through satellite remote sensing data.
DOI: 10.5281/zenodo.12730086
title: Satellite-ground synchronous in-situ dataset of water optical parameters and surface temperature for typical lakes in China

description: Remote sensing technology has the potential to significantly enhance the lakes large-scale and long-term dynamic monitoring capabilities. High-quality in-situ datasets are essential for improving the accuracy and reliability of remote sensing retrieval of water optical parameters. This dataset provides satellite-ground synchronized in-situ data on water optical parameters for typical lakes in China spanning the period between 2020 and 2023. The dataset includes quality-checked remote sensing reflectance ( ) data and water optical parameter data for chlorophyll-a (Chl-a), total suspended matter (TSM), Secchi disk depth (SDD), andwater surface temperature (WST). It encompasses 586 sampling points across 18 lakes. The dataset exhibits two significant highlights: Firstly, synchronous observations from multiple satellites are coordinated during the data collection process, effectively supporting the retrieval and validation of water remote sensing products. Secondly, it encompasses diverse data types, collecting synchronous measurements of  and various water optical parameters. This dataset will be continuously updated, thereby making a substantial contribution to enhancing regional and global lake monitoring capabilities through satellite remote sensing data.
DOI: 10.5281/zenodo.13777017
title: Satellite-ground synchronous in-situ dataset of water optical parameters and surface temperature for typical lakes in China

description: Remote sensing technology has the potential to significantly enhance the lakes large-scale and long-term dynamic monitoring capabilities. High-quality in-situ datasets are essential for improving the accuracy and reliability of remote sensing retrieval of water optical parameters. This dataset provides satellite-ground synchronized in-situ data on water optical parameters for typical lakes in China spanning the period between 2020 and 2023. The dataset includes quality-checked remote sensing reflectance ( ) data and water optical parameter data for chlorophyll-a (Chl-a), total suspended matter (TSM), Secchi disk depth (SDD), andwater surface temperature (WST). It encompasses 586 sampling points across 18 lakes. The dataset exhibits two significant highlights: Firstly, synchronous observations from multiple satellites are coordinated during the data collection process, effectively supporting the retrieval and validation of water remote sensing products. Secondly, it encompasses diverse data types, collecting synchronous measurements of  and various water optical parameters. This dataset will be continuously updated, thereby making a substantial contribution to enhancing regional and global lake monitoring capabilities through satellite remote sensing data.
DOI: 10.1594/pangaea.963393
title: Whale sightings during POLARSTERN cruise PS133/1

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 PS133/1 (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.963426
title: Whale sightings during POLARSTERN cruise PS133/2

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 PS133/2 (Punta Arenas – 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.834269
title: Growth rate of Aurelia aurita determined experimentally
DOI: 10.1594/pangaea.834273
title: Growth rate of Aurelia aurita determined experimentally
DOI: 10.1594/pangaea.969735
title: Properties and seeding positions of bedload tracers in an alpine section of the Drava River on 11 May 2017

description: This is a data set related to a bedload tracer field study in an alpine section of the Drava River between 11 May 2017 and 11 June 2018. It contains the characteristics and seeding positions of bedload tracers. A number of 65 artificial bedload tracers were equipped with active very high frequency radio transmitters imitating 5 natural grains representative of five grain size classes. The tracers were all seeded on 11 May 2017 in a cross-section across five points in the middle of the Drava River, 2.5 m apart laterally. Seeding was done from a boat in bags that contained the tracers and could be opened after they were lowered onto the riverbed.
DOI: 10.1594/pangaea.969742
title: Time series of bed shear stress in the cross section of the seeding locations of bedload tracers in an alpine section of the Drava River between 11 May 2018 and 11 June 2018

description: This is a data set related to a bedload tracer field study in an alpine section of the Drava River between 11 May 2017 and 11 June 2018. A time series of bed shear stress is provided for the seeding site of the tracers in the time span of the entire tracer study. The shear stress was calculated from water depths that were modelled with a one-dimensional hydrodynamic-numerical model and based on a channel slope obtained from the analysis of cross-sections. The shear stress can also be calculated for cross-sections downstream of the seeding location by using the functions available in the corresponding publication.
description: Water depths were modelled with one-dimensional HEC-RAS (US Army Corps of Engineers Hydrologic Engineering Center). A water depth midway between the mean and maximum water depths was calculated aiming to better simulate conditions for bedload (following Ferguson and Wathen, 1998). A power function with coefficient and exponent depending on the streamwise distance (see related publication) was then used to convert the discharge time series into a time series of bedload-related water depth at the seeding location. The shear stress was calculated via ρgDS. The underlying discharge time series was obtained from the gauging station at Dellach from the Hydrographic Service Carinthia.
DOI: 10.1594/pangaea.969743
title: Positions of bedload tracers in an alpine section of the Drava River after seeding on 11 May 2017 up to 11 June 2018

description: This is a data set related to a bedload tracer field study in an alpine section of the Drava River between 11 May 2017 and 11 June 2018. It contains the positions of bedload tracers as obtained during 10 searches from a boat with antenna, receiver and GPS after the tracer seeding on 11 May 2017. A number of 65 artificial bedload tracers were deployed imitating 5 natural grains representative of five grain size classes. In addition, the recordings from a stationary antenna, located about 5 km downstream from the seeding location, are provided.