cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1404024.10fu
title: SH1404024.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1404030.10fu
title: SH1404030.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.1594/pangaea.922253
title: (Table S1) Age model of ODP Site 130-807

description: The ages of calcareous nannofossil and foraminifera are from ODP Site 807 from Berggren et al. (1995a, 1995b) and have been updated updated to Gradstein et al. (2012).
DOI: 10.1594/pangaea.903204
title: Calcareous nannofossils absolute abundance and accumulation rates from Rosans, France
DOI: 10.1594/pangaea.903347
title: Calcareous nannofossils absolute abundance and accumulation rates from Addar, Morocco
DOI: 10.1594/pangaea.903026
title: Calcareous nannofossils absolute abundance and accumulation rates from sediment core North Jens-1, Danemark
DOI: 10.1594/pangaea.902904
title: Calcareous nannofossils absolute abundance and accumulation rates from ODP Hole 207-1260A and 207-1260B
DOI: 10.1594/pangaea.971326
title: Growth rate and carrying capacity of Antarctic phytoplankton in response to temperature and nitrogen:phosphorus supply interactions

description: Data were obtained from a laboratory growth experiment conducted from April to Mai 2021 at the Institute for Chemistry and Biology of the Marine Environment (University of Oldenburg). Three Antarctic phytoplankton species (Chaetoceros simplex, Phaeocystis antarctica (single cell culture) and Geminigera cryophila) were grown in monocultures and a mixture of all three species. We used a factorial design including four different N/P treatments (control plus three different N/P levels) and 10 different temperatures (-2, -1, 0, 1, 2, 3, 4, 6, 8 and 10°C). The detailed experimental setup is explained in doi:10.1594/PANGAEA.971329. Potential maximum biomass (carrying capacity, K) and the maximum growth rate (µmax) of the monocultures and the mixed assemblage were calculated by using the optical density measurements (OD 440nm) and the logistic growth curve formula: OD=(KN_0 ⅇ^(μmax*t))/((K+N_0 ) ⅇ^(μmax*t⁻¹) ) where OD is the optical density, t (time) is the experimental day, N0 the lowest optical density (start value), K the carrying capacity and µmax the maximum growth rate. Starting parameters were estimated individually for each experimental unit. Optical density (OD₄₄₀) was measured every second day using a microplate reader (Biotek, USA). The final sampling of each culture was conducted during stationary phase, when the OD value was stable during three consecutive sampling days. The stationary phase was reached between 30 and 48 days, depending on the temperature and nutrient treatment.
description: The experiment started at 2021-04-02T10:00 and ended at 2021-05-19T12:00 .
DOI: 10.1594/pangaea.972911
title: (Sub-)Families of Harpacticoida in meiofauna communities of the Fehmarn Belt (Western Baltic Sea) during EMB238 cruise in 2020

description: As part of the DAM pilot mission "MGF Ostsee", the meiobenthic communities of a protected area and a reference area in the Fehmarn Belt (Baltic Sea, Germany) were compared, with both study areas currently permitting mobile bottom trawling (MGF). Meiobenthic data were recorded at the major taxon level, with a special focus on the Copepoda Harpacticoida, which was further examined at the species level. This data collection will serve as a baseline for future assessments, after the planned exclusion of MGF in the protected area in 2024 to identify potential impacts of MGF on meiofaunal communities. Meiofauna samples were collected with a multicorer (MUC) on the expedition EMB238 of RV ELISABETH MANN BORGESE from May 26th to June 9th, 2020. From each MUC core the upper 5 cm of the sediment and the supernatant water filtered over 40 µm were used for further processing (area coverage per core: 72.4 cm²). For the morphological approach, this material was fixed with buffered formalin (final concentration: about 4%). Subsequently, in the laboratories of the German Centre for Marine Biodiversity Research (DZMB) in Wilhelmshaven, further treatment took place, namely centrifugation of the rinsed samples with Levasil®, a colloidal gel, to separate the organisms from the sediment (cf. McIntyre and Warwick 1984). Because the sampling material contained an extraordinary abundance of meiofauna, each sample had to be divided into sub-samples before counting and sorting the organisms to ensure efficient processing. This was done using the Jensen splitter (Jensen 1982), which divides a sample into eight equally sized sub-samples. One of these was randomly selected and used for further evaluation. For the identification and counting of the individuals, we used Leica DMR and Leica DM 2500 microscopes with interference contrast.
DOI: 10.1594/pangaea.972912
title: Genera of Harpacticoida in meiofauna communities of the Fehmarn Belt (Western Baltic Sea) during EMB238 cruise in 2020

description: As part of the DAM pilot mission "MGF Ostsee", the meiobenthic communities of a protected area and a reference area in the Fehmarn Belt (Baltic Sea, Germany) were compared, with both study areas currently permitting mobile bottom trawling (MGF). Meiobenthic data were recorded at the major taxon level, with a special focus on the Copepoda Harpacticoida, which was further examined at the species level. This data collection will serve as a baseline for future assessments, after the planned exclusion of MGF in the protected area in 2024 to identify potential impacts of MGF on meiofaunal communities. Meiofauna samples were collected with a multicorer (MUC) on the expedition EMB238 of RV ELISABETH MANN BORGESE from May 26th to June 9th, 2020. From each MUC core the upper 5 cm of the sediment and the supernatant water filtered over 40 µm were used for further processing (area coverage per core: 72.4 cm²). For the morphological approach, this material was fixed with buffered formalin (final concentration: about 4%). Subsequently, in the laboratories of the German Centre for Marine Biodiversity Research (DZMB) in Wilhelmshaven, further treatment took place, namely centrifugation of the rinsed samples with Levasil®, a colloidal gel, to separate the organisms from the sediment (cf. McIntyre and Warwick 1984). Because the sampling material contained an extraordinary abundance of meiofauna, each sample had to be divided into sub-samples before counting and sorting the organisms to ensure efficient processing. This was done using the Jensen splitter (Jensen 1982), which divides a sample into eight equally sized sub-samples. One of these was randomly selected and used for further evaluation. For the identification and counting of the individuals, we used Leica DMR and Leica DM 2500 microscopes with interference contrast.
DOI: 10.1594/pangaea.972909
title: Higher taxa in meiofauna communities of the Fehmarn Belt (Western Baltic Sea) during EMB238 cruise in 2020

description: As part of the DAM pilot mission "MGF Ostsee", the meiobenthic communities of a protected area and a reference area in the Fehmarn Belt (Baltic Sea, Germany) were compared, with both study areas currently permitting mobile bottom trawling (MGF). Meiobenthic data were recorded at the major taxon level, with a special focus on the Copepoda Harpacticoida, which was further examined at the species level. This data collection will serve as a baseline for future assessments, after the planned exclusion of MGF in the protected area in 2024 to identify potential impacts of MGF on meiofaunal communities. Meiofauna samples were collected with a multicorer (MUC) on the expedition EMB238 of RV ELISABETH MANN BORGESE from May 26th to June 9th, 2020. From each MUC core the upper 5 cm of the sediment and the supernatant water filtered over 40 µm were used for further processing (area coverage per core: 72.4 cm²). For the morphological approach, this material was fixed with buffered formalin (final concentration: about 4%). Subsequently, in the laboratories of the German Centre for Marine Biodiversity Research (DZMB) in Wilhelmshaven, further treatment took place, namely centrifugation of the rinsed samples with Levasil®, a colloidal gel, to separate the organisms from the sediment (cf. McIntyre and Warwick 1984). Because the sampling material contained an extraordinary abundance of meiofauna, each sample had to be divided into sub-samples before counting and sorting the organisms to ensure efficient processing. This was done using the Jensen splitter (Jensen 1982), which divides a sample into eight equally sized sub-samples. One of these was randomly selected and used for further evaluation. For the identification and counting of the individuals, we used Leica DMR and Leica DM 2500 microscopes with interference contrast.
DOI: 10.1594/pangaea.972910
title: Copepod orders in meiofauna communities of the Fehmarn Belt (Western Baltic Sea) during EMB238 cruise in 2020

description: As part of the DAM pilot mission "MGF Ostsee", the meiobenthic communities of a protected area and a reference area in the Fehmarn Belt (Baltic Sea, Germany) were compared, with both study areas currently permitting mobile bottom trawling (MGF). Meiobenthic data were recorded at the major taxon level, with a special focus on the Copepoda Harpacticoida, which was further examined at the species level. This data collection will serve as a baseline for future assessments, after the planned exclusion of MGF in the protected area in 2024 to identify potential impacts of MGF on meiofaunal communities. Meiofauna samples were collected with a multicorer (MUC) on the expedition EMB238 of RV ELISABETH MANN BORGESE from May 26th to June 9th, 2020. From each MUC core the upper 5 cm of the sediment and the supernatant water filtered over 40 µm were used for further processing (area coverage per core: 72.4 cm²). For the morphological approach, this material was fixed with buffered formalin (final concentration: about 4%). Subsequently, in the laboratories of the German Centre for Marine Biodiversity Research (DZMB) in Wilhelmshaven, further treatment took place, namely centrifugation of the rinsed samples with Levasil®, a colloidal gel, to separate the organisms from the sediment (cf. McIntyre and Warwick 1984). Because the sampling material contained an extraordinary abundance of meiofauna, each sample had to be divided into sub-samples before counting and sorting the organisms to ensure efficient processing. This was done using the Jensen splitter (Jensen 1982), which divides a sample into eight equally sized sub-samples. One of these was randomly selected and used for further evaluation. For the identification and counting of the individuals, we used Leica DMR and Leica DM 2500 microscopes with interference contrast.
DOI: 10.1594/pangaea.903003
title: Calcareous nannofossils absolute abundance and accumulation rates from DSDP Site 41-367
DOI: 10.1594/pangaea.903009
title: Calcareous nannofossils absolute abundance and accumulation rates from DSDP Hole 76-534A
DOI: 10.1594/pangaea.903321
title: Calcareous nannofossils absolute abundance and accumulation rates from sediment core BGS81-43 (late Valanginian - late Hauterivian), North Sea
DOI: 10.1594/pangaea.903068
title: Calcareous nannofossils absolute abundance and accumulation rates from Araas, Egypt
DOI: 10.1594/pangaea.903077
title: Calcareous nannofossils absolute abundance and accumulation rates from Tamzergout, Morocco
DOI: 10.1594/pangaea.903048
title: Calcareous nannofossils absolute abundance and accumulation rates from Kurkur Naqb Dungul, Egypt
DOI: 10.1594/pangaea.903054
title: Calcareous nannofossils absolute abundance and accumulation rates from Otto Gott, Germany
DOI: 10.1594/pangaea.903056
title: Calcareous nannofossils absolute abundance and accumulation rates from Wadi Abu Ghurra, Egypt
DOI: 10.1594/pangaea.903314
title: Calcareous nannofossils absolute abundance and accumulation rates from sediment core K2-5, France
DOI: 10.1594/pangaea.902905
title: Calcareous nannofossils absolute abundance and accumulation rates from ODP Hole 207-1258A, 207-1258B and 207-1258C
DOI: 10.1594/pangaea.903071
title: Calcareous nannofossils absolute abundance and accumulation rates from Qreiya-3, Egypt
DOI: 10.1594/pangaea.903066
title: Calcareous nannofossils absolute abundance and accumulation rates from Duwi, Egypt
DOI: 10.1594/pangaea.903349
title: Calcareous nannofossils absolute abundance and accumulation rates from Pré-Guittard, France
DOI: 10.1594/pangaea.902926
title: Calcareous nannofossils absolute abundance and accumulation rates from DSDP Site 77-535
DOI: 10.1594/pangaea.903043
title: Calcareous nannofossils absolute abundance and accumulation rates from sediment core Nora-1, Danemark
DOI: 10.1594/pangaea.903045
title: Calcareous nannofossils absolute abundance and accumulation rates from Somma, Italy
DOI: 10.1594/pangaea.903055
title: Calcareous nannofossils absolute abundance and accumulation rates from Speeton, United Kingdom
DOI: 10.1594/pangaea.903110
title: Calcareous nannofossils absolute abundance and accumulation rates from Takal Kuh, Iran
DOI: 10.1594/pangaea.893039
title: Age constraints for the low-resolution chronology from IODP Expedition 354

description: Ages of Younger Toba Tephra and Oldest Toba Tephra according to (Mark et al., 2017; doi:10.1016/j.quageo.2017.01.002); calcareous nannofossil ages according to the Geologic Time Scale of Gradstein et al. (2012); planktonic foraminifera ages according to Wade et al. (2011; doi:10.1016/j.earscirev.2010.09.003); (4) magnetic reversals according to Channell et al. (2008; doi:10.1016/j.epsl.2008.07.005). N/A not available. FO first occurrence. LO last occurrence. Note that parentheses give minimum and maximum depth of occurrence.
DOI: 10.1594/pangaea.974043
title: ARK 1998: AWI airborne Radio-Echo Sounding data over Northeast Greenland between North GRIP and Station Nord (NOGRAM project)

description: This dataset contains airborne radar data acquired using the AWI EMR system (Nixdorf et al., 1999) during the Arctic season of 1998. The profiles extend across the Northeast Greenland Ice Sheet between North GRIP and Station North. The data are available as netCDF files (including waveforms and metadata), KML files of the profile line locations, and quicklook images of the radargrams.
description: The data are available as netCDF files, KML files, and quicklook images (JPEGs) of the radargrams.--The netCDF files contain the following variables:altitude: Platform altitude (WGS84) in metersbed_elevation: bed elevation for each trace (using no firn correction and permitivity of ice: 3.15) in metersbed_pick: picked bed location for each trace, expressed as twt in secondsdata: radar datadata_agc: scaled radar data using automatic gain control (AGC)distance: Along-track distance in metersice_thickness: ice thickness for each trace (using no firn correction and permitivity of ice: 3.15) in meterslat: Latitude in decimal degreeslon: Longitude in decimal degreesrange: Range between sensor and surface in metersspacing: along track trace to trace spacing in meterssurface: surface elevation derived from radar (WGS84) in meterssurface_pick: picked surface reflection in two-way travel time in secondstime: Seconds of daytwt: Two-way travel time (twt) in seconds--The KML files are in EPSG:4326, and the quicklook images show the AGC product of the radargram.
DOI: 10.1594/pangaea.974441
title: ANT 2005/06: AWI airborne Radio-Echo Sounding data over the Ekström Isen and Shireas Glacier Basin, Eastern DML (ANTSYO project)

description: This dataset contains airborne radar data acquired using the AWI EMR system during the Antarctic season of 2005/06. The profiles extend across the Dronning Maud Land over the Ekström Isen and over the Shireas Glacier Basin. The data are available as netCDF files (including waveforms and metadata), KML files of the profile line locations, and quicklook images of the radargrams.
description: Project PIs: Wilfried Jokat (AWI), Uwe Nixdorf (AWI)Contact persons for AWI Radio-echo sounding data: Daniel Steinhage (daniel.steinhage@awi.de), Veit Helm (veit.helm@awi.de), Olaf Eisen (olaf.eisen@awi.de) ----The netCDF files contain the following variables:altitude: Platform altitude (WGS84) in metersbed_elevation: Bed elevation for each trace (without applying a firn correction and permitivity of ice: 3.15) in metersbed_pick: picked Bed location for each trace, expressed as twt in seconds from time zerodata: Radar data (Values in dBm after DC conversion)data_agc: Scaled radar data using automatic gain control (AGC)distance: Along-track distance in metersice_thickness: Ice thickness for each trace (without applying a firn correction and permitivity of ice: 3.15) in meterslat: Latitude in decimal degrees (WGS84)lon: Longitude in decimal degrees (WGS84)range: Range between sensor and surface in metersspacing: Along-track trace to trace spacing in meterssurface: Surface elevation derived from radar (WGS84) in meterssurface_pick: Picked surface reflection in two-way travel time in secondstime: Seconds of daytwt: Two-way travel time (twt) in seconds--The KML files are in EPSG:4326, and the quicklook images show the AGC product of the radargram.
DOI: 10.15468/dl.38e654
title: Occurrence Download

description: A dataset containing 738 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Hong Kong, Macao)",
 "TaxonKey is Brucea javanica"
 ]
}

 The dataset includes 738 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010634-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.974453
title: ANT 2008/09: AWI airborne Radio-Echo Sounding data over eastern Dronning Maund Land and East Antarctica and Berkner Island (RBI and WEGAS Projects)

description: This dataset contains airborne radar data acquired using the AWI EMR system during the Antarctic season of 2008/09. The profiles extend across the eastern Dronning Maud Land , the ice shelfes and Berkner Island. The data are available as netCDF files (including waveforms and metadata), KML files of the profile line locations, and quicklook images of the radargrams.
description: Project PI (RBI 2008/09): Olaf Eisen (AWI)Project PI (WEGAS, WEGAS 2008/09): Wilfried Jokat (AWI)Contact persons for AWI Radio-echo sounding data: Daniel Steinhage (daniel.steinhage@awi.de), Veit Helm (veit.helm@awi.de), Olaf Eisen (olaf.eisen@awi.de)----The netCDF files contain the following variables:altitude: Platform altitude (WGS84) in metersbed_elevation: Bed elevation for each trace (without applying a firn correction and permitivity of ice: 3.15) in metersbed_pick: picked Bed location for each trace, expressed as twt in seconds from time zerodata: Radar data (Values in dBm after DC conversion)data_agc: Scaled radar data using automatic gain control (AGC)distance: Along-track distance in metersice_thickness: Ice thickness for each trace (without applying a firn correction and permitivity of ice: 3.15) in meterslat: Latitude in decimal degrees (WGS84)lon: Longitude in decimal degrees (WGS84)range: Range between sensor and surface in metersspacing: Along-track trace to trace spacing in meterssurface: Surface elevation derived from radar (WGS84) in meterssurface_pick: Picked surface reflection in two-way travel time in secondstime: Seconds of daytwt: Two-way travel time (twt) in seconds--The KML files are in EPSG:4326, and the quicklook images show the AGC product of the radargram.
DOI: 10.1594/pangaea.976759
title: ANT 2018/19: AWI airborne ultra-wideband radar data over the Jutulstraumen Drainage Basin and South of Sør Rondane Mountains in Dronning Maud Land, East Antarctica (JuRaS Project)

description: Radio-echo sounding (RES) data from Jutulstraumen Glacier in western Dronning Maud Land (East Antarctica recorded with the Alfred Wegener Institutes multi-channel ultra-wideband (AWI UWB) radar system in the Austral summer season 2018/19. The survey region is centered on the initiation zone of accelerating ice flow (~ 5 to 50 meters per year) at the onset of the Jutulstraumen Ice Stream, located within the Jutulstraumen drainage basin in western Dronning Maud Land, East Antarctica. This region marks the a transition from the thick ice sheet of the central plateau to the dynamic convergent ice flow regime leading through the Jutulstraumen Graben, which ultimately feeds into the Fimbul Ice Shelf. The UWB profiles at the Jutulstraumen Ice Stream are organized into two distinct sets, each aligned approximately perpendicular to ice flow and spaced at intervals of 7.5 km. Moreover, this dataset includes UWB profiles south of Sør Rondane Mountains in eastern Dronning Maud Land. The data was mainly recorded in a frequency range between 180-210 MHz and is SAR processed but single profiles south of Sør Rondane Mountains were recorded in frequency ranges of 320-350 and 150-520 MHz, respectively. The data are available for both data products (qlook: unfocused; standard: SAR focused) as netCDF files (including waveforms and metadata), KML files of the profile line locations, and quicklook images of the radargrams.