cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.877834
title: (Table 3) Summary and peak positions of samples from the Kess Kess mounds, Anti-Atlas in Morocco
DOI: 10.1594/pangaea.891325
title: CICE output from Global Ocean Forecast System (GOFS) 3.1 for 2018052112

description: INITIALIZATION: 2018052112FORECASTS:12-hrly out to 7.5 days (t180)GRIDS:ARCu0.08 -- poleward of 40NANTu0.08 -- poleward of 49.52SPARAMETERS:hi:standard_name = "sea_ice_thickness" ;hs:standard_name = "surface_snow_thickness" ;Tsfc:standard_name = "surface_temperature_where_sea_ice" ;aice:standard_name = "sea_ice_area_fraction" ;uvel:standard_name = "eastward_sea_ice_velocity" ;vvel:standard_name = "northward_sea_ice_velocity" ;sst:standard_name = "sea_water_temperature" ;uocn:standard_name = "eastward_sea_water_velocity" ;vocn:standard_name = "northward_sea_water_velocity" ;Tair:standard_name = "air_temperature" ;strength:standard_name = "compressive_strength_of_sea_ice" ;
DOI: 10.1594/pangaea.891326
title: CICE output from Global Ocean Forecast System (GOFS) 3.1 for 2018052212

description: INITIALIZATION: 2018052212FORECASTS:12-hrly out to 7.5 days (t180)GRIDS:ARCu0.08 -- poleward of 40NANTu0.08 -- poleward of 49.52SPARAMETERS:hi:standard_name = "sea_ice_thickness" ;hs:standard_name = "surface_snow_thickness" ;Tsfc:standard_name = "surface_temperature_where_sea_ice" ;aice:standard_name = "sea_ice_area_fraction" ;uvel:standard_name = "eastward_sea_ice_velocity" ;vvel:standard_name = "northward_sea_ice_velocity" ;sst:standard_name = "sea_water_temperature" ;uocn:standard_name = "eastward_sea_water_velocity" ;vocn:standard_name = "northward_sea_water_velocity" ;Tair:standard_name = "air_temperature" ;strength:standard_name = "compressive_strength_of_sea_ice" ;
DOI: 10.1594/pangaea.891327
title: CICE output from Global Ocean Forecast System (GOFS) 3.1 for 2018052312

description: INITIALIZATION: 2018052312FORECASTS:12-hrly out to 7.5 days (t180)GRIDS:ARCu0.08 -- poleward of 40NANTu0.08 -- poleward of 49.52SPARAMETERS:hi:standard_name = "sea_ice_thickness" ;hs:standard_name = "surface_snow_thickness" ;Tsfc:standard_name = "surface_temperature_where_sea_ice" ;aice:standard_name = "sea_ice_area_fraction" ;uvel:standard_name = "eastward_sea_ice_velocity" ;vvel:standard_name = "northward_sea_ice_velocity" ;sst:standard_name = "sea_water_temperature" ;uocn:standard_name = "eastward_sea_water_velocity" ;vocn:standard_name = "northward_sea_water_velocity" ;Tair:standard_name = "air_temperature" ;strength:standard_name = "compressive_strength_of_sea_ice" ;
DOI: 10.1594/pangaea.891328
title: CICE output from Global Ocean Forecast System (GOFS) 3.1 for 2018052412

description: INITIALIZATION: 2018052412FORECASTS:12-hrly out to 7.5 days (t180)GRIDS:ARCu0.08 -- poleward of 40NANTu0.08 -- poleward of 49.52SPARAMETERS:hi:standard_name = "sea_ice_thickness" ;hs:standard_name = "surface_snow_thickness" ;Tsfc:standard_name = "surface_temperature_where_sea_ice" ;aice:standard_name = "sea_ice_area_fraction" ;uvel:standard_name = "eastward_sea_ice_velocity" ;vvel:standard_name = "northward_sea_ice_velocity" ;sst:standard_name = "sea_water_temperature" ;uocn:standard_name = "eastward_sea_water_velocity" ;vocn:standard_name = "northward_sea_water_velocity" ;Tair:standard_name = "air_temperature" ;strength:standard_name = "compressive_strength_of_sea_ice" ;
DOI: 10.1594/pangaea.834760
title: Three species distribution models for the marine diatom Fragilariopsis kerguelensis of the Southern Ocean, links to NetCDF files

description: Fragilariopsis kerguelensis, a dominant diatom species throughout the Antarctic Circumpolar Current, is coined to be one of the main drivers of the biological silicate pump. Here, we study the distribution of this important species and expected consequences of climate change upon it, using correlative species distribution modeling and publicly available presence-only data. As experience with SDM is scarce for marine phytoplankton, this also serves as a pilot study for this organism group. We used the maximum entropy method to calculate distribution models for the diatom F. kerguelensis based on yearly and monthly environmental data (sea surface temperature, salinity, nitrate and silicate concentrations). Observation data were harvested from GBIF and the Global Diatom Database, and for further analyses also from the Hustedt Diatom Collection (BRM). The models were projected on current yearly and seasonal environmental data to study current distribution and its seasonality. Furthermore, we projected the seasonal model on future environmental data obtained from climate models for the year 2100. Projected on current yearly averaged environmental data, all models showed similar distribution patterns for F. kerguelensis. The monthly model showed seasonality, for example, a shift of the southern distribution boundary toward the north in the winter. Projections on future scenarios resulted in a moderately to negligibly shrinking distribution area and a change in seasonality. We found a substantial bias in the publicly available observation datasets, which could be reduced by additional observation records we obtained from the Hustedt Diatom Collection. Present-day distribution patterns inferred from the models coincided well with background knowledge and previous reports about F. kerguelensis distribution, showing that maximum entropy-based distribution models are suitable to map distribution patterns for oceanic planktonic organisms. Our scenario projections indicate moderate effects of climate change upon the biogeography of F. kerguelensis.
description: Supplement to: Pinkernell, Stefan; Beszteri, Bánk (2014): Potential effects of climate change on the distribution range of the main silicate sinker of the Southern Ocean. Ecology and Evolution, 4(16), 3147-3161
DOI: 10.1594/pangaea.891243
title: Absolute abundance data of the ichthyofauna collected in the microbasin of Praquiquara river, Apeú middle, eastern Amazon, during the period from July 2017 to June 2018

description: Absolute abundance data of the ichthyofauna collected in the Praquiquara river basin during the period from July 2017 to June 2018. These data provide an analysis of the two climatic periods of the Amazon region (dry and rainy). For the collection was used drag and sweep nets. There were 32 species of fish distributed in 4 orders (Characiformes, Siluriformes, Gymnotiformes and Perciformes) and 11 families (Serrasalmidae, Erythrinidae, Anostomidae, Curimatidae, Acestrorhynchidae, Characidae, Callichthyidae, Loricariidae, Heptapteridae, Electrophoridae and Cichlidae).
DOI: 10.1594/pangaea.691589
title: Mesozooplankton abundance during Professor Vodyanitskiy cruise PV23

description: Mesozooplankon was sampled in drifting and daily stations using JOM (Juday net, Ocean Model) net with 0.5 m**2 mouth diameter and mesh size 145 µm. Depth of tow is evaluated by wire paid out and the angle of wire inclination. Nansen's closing device. Samples were treated using express method: copepods were identified to genus level, other zooplankton groups - to type, class, order and family levels.
DOI: 10.1594/pangaea.692920
title: Mesozooplankton abundance during Akademik Kovalevsky cruise AK71, Part I

description: Mesozooplankton was sampled by open-closing JUDAY net with a 36 cm ring diameter and mesh size of 125 µm. The open-closing mechanism used was the Nansen mechanical lock system allowing nets to be vertically towed through standard depths (0-10, 10-25, 25-50, 50-100, 100-200, 200-300, 300-500 m) and closed at the upper depth level. Depth of tow was evaluated by wire paid out and the angle of wire inclination. The 10-20 ml samples were preserved in 3-4% buffered formaldehyde and processed on return to the laboratory. All of copepods were identified to genus level, other taxanomic groups - to type, class, order and family levels.
DOI: 10.1594/pangaea.834436
title: RGB color and Lab raw data from ANDRILL drill core AND-2A, links to files
DOI: 10.1594/pangaea.891331
title: Seasonal distribution of mesozooplankton in the upper 100 m of the northern Gulf of Aqaba in 2002 and 2003

description: The abundance and composition of the mesozooplankton were studied in the upper 100 m of the northern Gulf of Aqaba over a period of 22 months between February 2002 and December 2003. The samples were collected monthly with a Nansen net of 200 μm mesh size. The abundance of total mesozooplankton ranged between 245 and 3065 ind. m⁻³. Highest densities in 2002 were recorded in spring (March/April) and in autumn (October/November), while several peaks occurred in 2003 with maximum abundance in early summer (June/July). Copepods dominated the mesozooplankton community during the whole sampling period (~79%), followed by mollusc larvae (8%), appendicularians (2.5%) and chaetognaths (2.4%). Within the copepods, calanoids were predominant throughout the sampling period (41–83%). Cyclopoid copepods accounted for 17 to 59%, while harpacticoids occurred only in very low numbers (&lt;1%). Within the calanoid copepods, Clausocalanidae, Paracalanidae and Acartiidae were abundant, accounting for 84 to 98% of the calanoids.
DOI: 10.1594/pangaea.886746
title: Ice stratigraphy down to 1m depth in the Greenland Ice Sheet ablation zone during July 2016 from shallow ice cores
DOI: 10.1594/pangaea.711364
title: Zooplankton abundance from multi net trawls during R/V Alexander von Humboldt cruise AvH44/03/01, Part 2
DOI: 10.1594/pangaea.885791
title: Pollen concentration of sediment core Co1260 from Lake Dojran
DOI: 10.1594/pangaea.891359
title: Other measurements at 10 m from station Payerne (2011-12)
DOI: 10.1594/pangaea.885794
title: Pollen influx of sediment core Co1260 from Lake Dojran
DOI: 10.1594/pangaea.885796
title: Pollen record of sediment core Co1260 from Lake Dojran
DOI: 10.1594/pangaea.891360
title: Other measurements at 30 m from station Payerne (2011-12)
DOI: 10.1594/pangaea.891362
title: Ultra-violet measurements from station Payerne (2012-01)

description: UV reflect values might contain errors.
DOI: 10.1594/pangaea.891363
title: Meteorological synoptical observations from station Payerne (2012-01)
DOI: 10.1594/pangaea.891364
title: Radiosonde measurements from station Payerne (2012-01)
DOI: 10.1594/pangaea.891365
title: Ozone measurements from station Payerne (2012-01)

description: Location: Arosa, Switzerland; Distance from radiation site: 200 km
DOI: 10.1594/pangaea.832899
title: (Table S3) Mg/Ca ratios of Globigerina bulloides and Pullenia pbliquiloculata from core top samples

description: For Mg/Ca data of P. obliquiloculata from ERDC samples see Mekik and Francois (2006)
DOI: 10.1594/pangaea.891366
title: Other measurements at 10 m from station Payerne (2012-01)
DOI: 10.1594/pangaea.891367
title: Other measurements at 30 m from station Payerne (2012-01)
DOI: 10.1594/pangaea.891372
title: Ultra-violet measurements from station Payerne (2012-02)

description: UV reflect values might contain errors.
DOI: 10.1594/pangaea.891373
title: Meteorological synoptical observations from station Payerne (2012-02)
DOI: 10.1594/pangaea.891374
title: Radiosonde measurements from station Payerne (2012-02)
DOI: 10.1594/pangaea.891375
title: Ozone measurements from station Payerne (2012-02)

description: Location: Arosa, Switzerland; Distance from radiation site: 200 km
DOI: 10.1594/pangaea.891376
title: Other measurements at 10 m from station Payerne (2012-02)
DOI: 10.1594/pangaea.891377
title: Other measurements at 30 m from station Payerne (2012-02)
DOI: 10.1594/pangaea.891379
title: Ultra-violet measurements from station Payerne (2012-03)

description: UV reflect values might contain errors.
DOI: 10.1594/pangaea.891380
title: Meteorological synoptical observations from station Payerne (2012-03)
DOI: 10.1594/pangaea.891381
title: Radiosonde measurements from station Payerne (2012-03)
DOI: 10.1594/pangaea.891382
title: Ozone measurements from station Payerne (2012-03)

description: Location: Arosa, Switzerland; Distance from radiation site: 200 km
DOI: 10.1594/pangaea.890982
title: Ice thickness and bedrock elevation data of Nioghalvfjerdsfjorden Glacier from seismic investigations in 1997/1998

description: During an extensive field program, glaciologcal data have been collected at Nioghalvfjerdsfjiorden Glacier (79 North Glacier) in NE-Greenland in 1997 and 1998. A central part of the field work was dedicated to seismic investigations of the floating part of the glacier, determining the ice thickness, the underlying water column depth and the bedrock elevation. The seismic reflexion measurements were carried out with a 24-channel seismograph (Strataview). 600g explosives were used as energy source at a distance of 100 m from the first geophone. Details about the measurements and the project can be found in Mayer et al. (2000).
DOI: 10.1594/pangaea.891383
title: Other measurements at 10 m from station Payerne (2012-03)
DOI: 10.6084/m9.figshare.22414234
title: Extended Data: In silico drug repurposing using molecular docking and dynamics to target the protein interaction between the SARS-CoV -2 S-glycoprotein and the ACE2 receptor

description: Extended Data for <em><strong>In silico</strong></em> <strong>drug repurposing using molecular docking and dynamics to target the protein interaction between the SARS-CoV -2 S-glycoprotein and the ACE2 receptor</strong>
Authors:  Dania A. Hussein1, Abdullah Rahail Almatrafi1, Mohammed Sayed Gomaa2, Alanood Howsawi1, Sarah Almustafa3, Hadi Alsaihaty3, Manar Alghamdi3.
<em>1Department of Pharmacology and Toxicology,</em> <em>2Department of Pharmaceutical Chemistry,</em> <em>3College of Clinical Pharmacy, Imam Abdulrahman bin Faisal University, Khobar, Saudi Arabia</em>
Corresponding Author: Dr. Dania A. Hussein. Assistant Professor, Department of Pharmacology, College of Clinical Pharmacy, Imam Abdulrahman Bin Faisal University, King Faisal Road, Eastern Province, Dammam, P.O. Box 1982, Dammam 31441, Saudi Arabia
Phone: +966 506271501
E-mail: dahussein@iau.edu.sa
DOI: 10.1594/pangaea.891384
title: Other measurements at 30 m from station Payerne (2012-03)
DOI: 10.6084/m9.figshare.22414234.v2
title: Extended Data: In silico drug repurposing using molecular docking and dynamics to target the protein interaction between the SARS-CoV -2 S-glycoprotein and the ACE2 receptor

description: Extended Data for <em><strong>In silico</strong></em> <strong>drug repurposing using molecular docking and dynamics to target the protein interaction between the SARS-CoV -2 S-glycoprotein and the ACE2 receptor</strong>
Authors:  Dania A. Hussein1, Abdullah Rahail Almatrafi1, Mohammed Sayed Gomaa2, Alanood Howsawi1, Sarah Almustafa3, Hadi Alsaihaty3, Manar Alghamdi3.
<em>1Department of Pharmacology and Toxicology,</em> <em>2Department of Pharmaceutical Chemistry,</em> <em>3College of Clinical Pharmacy, Imam Abdulrahman bin Faisal University, Khobar, Saudi Arabia</em>
Corresponding Author: Dr. Dania A. Hussein. Assistant Professor, Department of Pharmacology, College of Clinical Pharmacy, Imam Abdulrahman Bin Faisal University, King Faisal Road, Eastern Province, Dammam, P.O. Box 1982, Dammam 31441, Saudi Arabia
Phone: +966 506271501
E-mail: dahussein@iau.edu.sa
DOI: 10.1594/pangaea.891368
title: Main ice thickness and bedrock elevation data of Nioghalvfjerdsfjorden Glacier from seismic investigations in 1997/1998
DOI: 10.1594/pangaea.891408
title: CICE output from Global Ocean Forecast System (GOFS) 3.1 for 2018052612

description: INITIALIZATION: 2018052612FORECASTS:12-hrly out to 7.5 days (t180)GRIDS:ARCu0.08 -- poleward of 40NANTu0.08 -- poleward of 49.52SPARAMETERS:hi:standard_name = "sea_ice_thickness" ;hs:standard_name = "surface_snow_thickness" ;Tsfc:standard_name = "surface_temperature_where_sea_ice" ;aice:standard_name = "sea_ice_area_fraction" ;uvel:standard_name = "eastward_sea_ice_velocity" ;vvel:standard_name = "northward_sea_ice_velocity" ;sst:standard_name = "sea_water_temperature" ;uocn:standard_name = "eastward_sea_water_velocity" ;vocn:standard_name = "northward_sea_water_velocity" ;Tair:standard_name = "air_temperature" ;strength:standard_name = "compressive_strength_of_sea_ice" ;
DOI: 10.1594/pangaea.891409
title: CICE output from Global Ocean Forecast System (GOFS) 3.1 for 2018052712

description: INITIALIZATION: 2018052712FORECASTS:12-hrly out to 7.5 days (t180)GRIDS:ARCu0.08 -- poleward of 40NANTu0.08 -- poleward of 49.52SPARAMETERS:hi:standard_name = "sea_ice_thickness" ;hs:standard_name = "surface_snow_thickness" ;Tsfc:standard_name = "surface_temperature_where_sea_ice" ;aice:standard_name = "sea_ice_area_fraction" ;uvel:standard_name = "eastward_sea_ice_velocity" ;vvel:standard_name = "northward_sea_ice_velocity" ;sst:standard_name = "sea_water_temperature" ;uocn:standard_name = "eastward_sea_water_velocity" ;vocn:standard_name = "northward_sea_water_velocity" ;Tair:standard_name = "air_temperature" ;strength:standard_name = "compressive_strength_of_sea_ice" ;
DOI: 10.1594/pangaea.891410
title: CICE output from Global Ocean Forecast System (GOFS) 3.1 for 2018052812

description: INITIALIZATION: 2018052812FORECASTS:12-hrly out to 7.5 days (t180)GRIDS:ARCu0.08 -- poleward of 40NANTu0.08 -- poleward of 49.52SPARAMETERS:hi:standard_name = "sea_ice_thickness" ;hs:standard_name = "surface_snow_thickness" ;Tsfc:standard_name = "surface_temperature_where_sea_ice" ;aice:standard_name = "sea_ice_area_fraction" ;uvel:standard_name = "eastward_sea_ice_velocity" ;vvel:standard_name = "northward_sea_ice_velocity" ;sst:standard_name = "sea_water_temperature" ;uocn:standard_name = "eastward_sea_water_velocity" ;vocn:standard_name = "northward_sea_water_velocity" ;Tair:standard_name = "air_temperature" ;strength:standard_name = "compressive_strength_of_sea_ice" ;
DOI: 10.1594/pangaea.891411
title: CICE output from Global Ocean Forecast System (GOFS) 3.1 for 2018052912

description: INITIALIZATION: 2018052912FORECASTS:12-hrly out to 7.5 days (t180)GRIDS:ARCu0.08 -- poleward of 40NANTu0.08 -- poleward of 49.52SPARAMETERS:hi:standard_name = "sea_ice_thickness" ;hs:standard_name = "surface_snow_thickness" ;Tsfc:standard_name = "surface_temperature_where_sea_ice" ;aice:standard_name = "sea_ice_area_fraction" ;uvel:standard_name = "eastward_sea_ice_velocity" ;vvel:standard_name = "northward_sea_ice_velocity" ;sst:standard_name = "sea_water_temperature" ;uocn:standard_name = "eastward_sea_water_velocity" ;vocn:standard_name = "northward_sea_water_velocity" ;Tair:standard_name = "air_temperature" ;strength:standard_name = "compressive_strength_of_sea_ice" ;
DOI: 10.1594/pangaea.891412
title: CICE output from Global Ocean Forecast System (GOFS) 3.1 for 2018053012

description: INITIALIZATION: 2018053012FORECASTS:12-hrly out to 7.5 days (t180)GRIDS:ARCu0.08 -- poleward of 40NANTu0.08 -- poleward of 49.52SPARAMETERS:hi:standard_name = "sea_ice_thickness" ;hs:standard_name = "surface_snow_thickness" ;Tsfc:standard_name = "surface_temperature_where_sea_ice" ;aice:standard_name = "sea_ice_area_fraction" ;uvel:standard_name = "eastward_sea_ice_velocity" ;vvel:standard_name = "northward_sea_ice_velocity" ;sst:standard_name = "sea_water_temperature" ;uocn:standard_name = "eastward_sea_water_velocity" ;vocn:standard_name = "northward_sea_water_velocity" ;Tair:standard_name = "air_temperature" ;strength:standard_name = "compressive_strength_of_sea_ice" ;
DOI: 10.1594/pangaea.891413
title: CICE output from Global Ocean Forecast System (GOFS) 3.1 for 2018053112

description: INITIALIZATION: 2018053112FORECASTS:12-hrly out to 7.5 days (t180)GRIDS:ARCu0.08 -- poleward of 40NANTu0.08 -- poleward of 49.52SPARAMETERS:hi:standard_name = "sea_ice_thickness" ;hs:standard_name = "surface_snow_thickness" ;Tsfc:standard_name = "surface_temperature_where_sea_ice" ;aice:standard_name = "sea_ice_area_fraction" ;uvel:standard_name = "eastward_sea_ice_velocity" ;vvel:standard_name = "northward_sea_ice_velocity" ;sst:standard_name = "sea_water_temperature" ;uocn:standard_name = "eastward_sea_water_velocity" ;vocn:standard_name = "northward_sea_water_velocity" ;Tair:standard_name = "air_temperature" ;strength:standard_name = "compressive_strength_of_sea_ice" ;
DOI: 10.1594/pangaea.891407
title: Inorganic carbon and nitrogen assimilation in cellular compartments of a benthic kleptoplastic foraminifer

description: Haynesina germanica, an ubiquitous benthic foraminifer in intertidal mudflats, has the remarkable ability to isolate, sequester, and use chloroplasts from microalgae. The photosynthetic functionality of these kleptoplasts has been demonstrated by measuring photosystem II quantum efficiency and O2 production rates, but the precise role of the kleptoplasts in foraminiferal metabolism is poorly understood. Thus, the mechanism and dynamics of C and N assimilation and translocation from the kleptoplasts to the foraminiferal host requires study. The objective of this study was to investigate, using correlated TEM and NanoSIMS imaging, the assimilation of inorganic C and N (here ammonium, NH4+) in individuals of a kleptoplastic benthic foraminiferal species. H. germanica specimens were incubated for 20 h in artificial seawater enriched with H13CO3- and 15NH4+ during a light/dark cycle.
description: Data: The dataset contains one Excel Workbook (.xlsx).The software Look@NanoSIMS was used to determine the isotopic enrichment of specific organelles that were identified morphologically from TEM images. Regions of interest (ROIs) to quantify the average isotopic enrichment of the organelles were defined from the TEM images previously aligned with the NanoSIMS images (based on the 12C14N image). For the average isotopic enrichment of the cytoplasm, three circles of ca. 2 µm in diameter were drawn per image, avoiding highly 15N-enriched organelles. For each specimen, between one and three NanoSIMS images were analyzed.
description: Supplement to: LeKieffre, Charlotte; Jauffrais, Thierry; Geslin, Emmanuelle; Jesus, Bruno; Bernhard, Joan M; Giovani, Maria-Evangelia; Meibom, Anders (2018): Inorganic carbon and nitrogen assimilation in cellular compartments of a benthic kleptoplastic foraminifer. Scientific Reports, 8(1)
DOI: 10.1594/pangaea.556371
title: AWI Bathymetric Chart of the Fram Strait (BCFS) Sheet 581-29-1 Greenland-Spitsbergen Sill West (Scale 1:100,000)

description: created with ArcInfo Workstation 8; page size 91 cm * 76 cm
DOI: 10.1594/pangaea.556372
title: AWI Bathymetric Chart of the Fram Strait (BCFS) Sheet 581-29-2 Greenland-Spitsbergen Sill East (Scale 1:100,000)

description: created with ArcInfo Workstation 8; page size 91 cm * 76 cm
DOI: 10.1594/pangaea.552314
title: Physical properties of Hole 310-M0007C
DOI: 10.1594/pangaea.552315
title: Physical properties of Hole 310-M0008A
DOI: 10.1594/pangaea.552316
title: Physical properties of Hole 310-M0009A
DOI: 10.1594/pangaea.552317
title: Physical properties of Hole 310-M0009B
DOI: 10.1594/pangaea.552318
title: Physical properties of Hole 310-M0009C
DOI: 10.1594/pangaea.552319
title: Physical properties of Hole 310-M0009D
DOI: 10.1594/pangaea.552320
title: Physical properties of Hole 310-M0009E
DOI: 10.1594/pangaea.552321
title: Physical properties of Hole 310-M0010A
DOI: 10.1594/pangaea.552472
title: Oxygen profile of the water column of site M1_CTD092, Red Sea (Table 4)
DOI: 10.1594/pangaea.552322
title: Physical properties of Hole 310-M0011A
DOI: 10.1594/pangaea.552473
title: Oxygen profile of the water column of site M1_CTD105, Red Sea (Table 4)
DOI: 10.1594/pangaea.552323
title: Physical properties of Hole 310-M0012A
DOI: 10.1594/pangaea.552324
title: Physical properties of Hole 310-M0013A
DOI: 10.1594/pangaea.552474
title: Ammonia profile of the water column of site M1_CTD023, Red Sea (Table 14)
DOI: 10.1594/pangaea.552475
title: Ammonia profile of the water column of site M1_CTD026, Red Sea (Table 14)
DOI: 10.1594/pangaea.552476
title: Ammonia profile of the water column of site M1_CTD029, Red Sea (Table 14)
DOI: 10.1594/pangaea.552091
title: Core summary for Hole 310-M0005C
DOI: 10.1594/pangaea.552092
title: Core summary for Hole 310-M0005D
DOI: 10.1594/pangaea.552093
title: Core summary for Hole 310-M0005E
DOI: 10.1594/pangaea.552094
title: Core summary for Hole 310-M0006A
DOI: 10.1594/pangaea.552095
title: Core summary for Hole 310-M0007A
DOI: 10.1594/pangaea.552096
title: Core summary for Hole 310-M0007B