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  • Data  (6,274)
  • 2020-2024  (6,274)
  • 2022  (6,274)
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  • 1
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    Abundance of mesopelagic fish collected at different layers of the water column around the Iberian Peninsula (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: This file contains data on number of mesopelagic fish collected during the CSIC-SUMMER survey carried out in October 2020 in five zones around the Iberian Peninsula: Balears and Alboran in the western Mediterranean, and Cadiz, Lisboa and Galicia. The scientific midwater trawl Mesopelagos fitted with a Multisampler placed at the end of the net was used to collect specimens at seven layers of the water column. The depth of the net was controlled by a SCANMAR system. In the five zones, hauls were carried out day and night to study vertical migration patterns of mesopelagic fish. A total of 24 deployments were made (between 0 and 700 m), of which 14 discriminated water layers. Additionally, to more accurately sample the epipelagic layers 7 night hauls were restricted to the first 210 m of the water column. Fish were identified and counted on board, or frozen for later processes in the laboratory. These data were obtained within the European Union Project 'Sustainable Management of Mesopelagic Resources' (SUMMER, Grant Agreement 817806) as funded by the Horizon 2020 Research and Innovation Programme.
    Keywords: 29SG20200929; 29SG20200929_1-PEL01; 29SG20200929_1-PEL02; 29SG20200929_1-PEL03; 29SG20200929_1-PEL05; 29SG20200929_1-PEL06; 29SG20200929_2-PEL07; 29SG20200929_2-PEL08; 29SG20200929_2-PEL09; 29SG20200929_2-PEL10; 29SG20200929_2-PEL11; 29SG20200929_2-PEL12; 29SG20200929_3-PEL13; 29SG20200929_3-PEL14; 29SG20200929_3-PEL15; 29SG20200929_3-PEL16; 29SG20200929_3-PEL17; 29SG20200929_3-PEL18; 29SG20200929_4-PEL19; 29SG20200929_4-PEL20; 29SG20200929_4-PEL22; 29SG20200929_4-PEL23; 29SG20200929_5-PEL25; 29SG20200929_5-PEL26; Alboran Sea, Mediterranean Sea; Balearic Islands, western Mediterranean Sea; Calculated; Code; Counting, visual; DATE/TIME; Depth, bathymetric; DEPTH, water; distribution; diversity; Event label; Family; Field observation; Gulf of Cádiz, Atlantic Ocean; Haul; LATITUDE; Light mode; LONGITUDE; Mesh size; mesopelagic fish; Mesopelagos; Midwater trawl, Mesopelagos (Meillat, 2012); Net, mouth area, effective; Number of individuals; Order; PEL01; PEL02; PEL03; PEL05; PEL06; PEL07; PEL08; PEL09; PEL10; PEL11; PEL12; PEL13; PEL14; PEL15; PEL16; PEL17; PEL18; PEL19; PEL20; PEL22; PEL23; PEL25; PEL26; Sarmiento de Gamboa; Sea off Galicia, Atlantic Ocean; Sea off Lisbon, Atlantic Ocean; SUMMER; Sustainable Management of Mesopelagic Resources; Taxa; Taxon/taxa, unique identification; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); Towing speed; vertical migration; VID; Visual identification; Water volume, filtered
    Type: Dataset
    Format: text/tab-separated-values, 9776 data points
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  • 2
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    Forest canopy microclimate regulation during the drought year 2018 at the Leipzig Canopy Crane site (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: Tree canopies are considered to effectively buffer climate extremes and to mitigate climate change effects. Droughts, which are predicted to become more frequent in the course of climate change, might alter the microclimatic cooling potential of trees. However, our understanding of how microclimate at the tree canopy level is modulated by environmental and tree characteristics and their interactions is still limited. Here, we investigated canopy temperature regulation for five mature co-occurring tree species for two contrasting hydrological situations during the severe drought in 2018.
    Keywords: broad-leafed tree species; canopy cover; drought; floodplain forest; forest microclimate regulation; sap flow
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 3
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    Benthic foraminifera assemblage of sediment core DA17-NG-ST03-039G (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: Benthic foraminifera assemblage data for marine sediment core DA17-NG-ST03-039G retrieved in the Westwind Trough on the Northeast Greenland Shelf. The marine gravity core was collected during the NorthGreen2017 cruise on board the research vessel RV Dana. The data covers the period 13.3 to 3.9 cal ka BP. The benthic foraminifera assemblage data was carried out in order to reconstruct the oceanographic development on the Northeast Greenland shelf.
    Keywords: Accumulation rate, agglutinated benthic foraminifera by number; Accumulation rate, calcareous benthic foraminifera by number; Accumulation rate, number of benthic foraminifera; Accumulation rate, planktic foraminifera by number; Adercotryma glomeratum; AGE; Benthic foraminifera assemblages; Buliminella elegantissima; Calculated; Cassidulina neoteretis; Cassidulina reniforme; Counting 63-1000 µm fraction; DA17-NG-ST03-039G; Dana II; deglacial; DEPTH, sediment/rock; Earlandammina inconspicua; Elphidium albiumbilicatum; Elphidium clavatum; Epistominella arctica; Foraminifera, benthic; Foraminifera, benthic, agglutinated/calcareous ratio; Foraminifera, benthic agglutinated; Foraminifera, benthic atlantic species; Foraminifera, benthic calcareous; Foraminifera, benthic productivity group; Foraminifera, planktic; GC; Gravity corer; Holocene; Islandiella norcrossi; Lagenammina difflugiformis; Marine Sediment Core; Nonionellina labradorica; Northeast Greenland; NorthGreen2017; Portatrochammina bipolaris; Psammosphera fusca; Recurvoides trochamminiformis; Spiroplectammina biformis; Stainforthia feylingi; Stainforthia horvathi; Textularia torquata
    Type: Dataset
    Format: text/tab-separated-values, 1595 data points
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  • 4
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    Continuous thermosalinograph oceanography along RV SONNE cruise SO276 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: Underway temperature and salinity data was collected along the cruise track with two autonomous measurement systems, called self-cleaning monitoring boxes (SMBs). Usually, the SMBs are changed after 12 hours. However, on this cruise only SMB_B was working properly. While temperature is taken at the water inlet in about 3 m depth, salinity is estimated within the SMB from conductivity and interior temperature. No calibration was performed, neither for temperature nor for salinity. For details to all processing steps see Data Processing Report.
    Keywords: Calculated from internal temperature and conductivity; Conductivity; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Digital oceanographic thermometer, Sea-Bird, SBE 38; LATITUDE; LONGITUDE; Measurement container; MerMet 17-6; Quality flag, salinity; Quality flag, water temperature; Salinity; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); SO276; SO276_0_Underway-3; Sonne_2; Temperature, water; Temperature, water, internal; Thermosalinograph; Thermosalinograph, Sea-Bird, SBE 45; TSG
    Type: Dataset
    Format: text/tab-separated-values, 277014 data points
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  • 5
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    Altern als Zukunft. Transkripte der Interviews (2022)
    PANGAEA
    In:  Qualiservice
    Details
    Publication Date: 2024-06-13
    Description: DE: Transkripte der Interviews, die für die von Stephan Lessenich geleitete Studie "Alter(n) als Zukunft" durchgeführt wurden. Der Datensatz enthält 87 in zwei Wellen erhobene problemzentrierte Interviews mit älteren und alten Menschen. Die Interviews wurden von 2013 bis 2019 in und um zwei deutsche Städte (jeweils in Ost- und Westdeutschland) durchgeführt. Das Sampling kombinierte den Ansatz der Grounded Theory mit Aspekten des selektiven Samplings. Für die erste Befragungswelle wurden 57 Personen im Alter von mindestens 60 Jahren ausgewählt, die bereits im Ruhestand waren. Von diesen 57 Personen wurden 20 bereits im Rahmen der Vorgängerprojekte "Zonen des Übergangs" und "Vom wohlverdienten Ruhestand zum Alterskraftunternehmer" interviewt. Dabei wurde anhand der Merkmale Bildungsgrad, Geschlecht, Familienstand, sozioökonomischem Status, Erfahrung kritischer Lebensereignisse sowie eventuellen Sorgeverpflichtungen gegenüber Angehörigen kontrastiert. Die Interviews der ersten Welle fokussieren das Verständnis des Begriffs "Ruhestand", die Zeit- und Alltagsgestaltung der Befragten sowie die Endlichkeit des Lebens. In der zweiten Welle lag der Fokus der Stichprobenbildung auf Ruheständler:innen im Alter von über 70 Jahren. Dabei ergaben sich 7 Interviews mit Personen, die bereits in der ersten Welle interviewt wurden. Der inhaltliche Schwerpunkt der Interviews lag auf der biographischen Bedeutung der Lebensphasen Ruhestand und Alter mit Themen wie Endlichkeit, Sterben und Tod. Neben der Thematik des Zeithandelns im Alter bietet der Datensatz u.a. Nachnutzungspotenziale in den Bereichen Biographieforschung, Geschlechterforschung und Methodologie. EN: Transcripts of the interviews conducted for the study "Alter(n) als Zukunft" (="Age(ing) as future") led by Stephan Lessenich. The dataset contains 87 problem-centered interviews with elderly and old people collected in two waves. The interviews were conducted between the years 2013 and 2019 in and around two German cities (each in East and West Germany). The sampling combined the grounded theory approach with aspects of selective sampling. For the first wave, 57 persons of at least 60 years were selected who were already retired. Out of these 57 persons, 20 had been already interviewed during the two previous projects "Zonen des Übergangs" (="Zones of transition") and "Vom wohlverdienten Ruhestand zum Alterskraftunternehmer" ("From well-deserved retirement to retirement entrepreneur"). The sample was contrasted according to the properties educational level, gender, marital status, socio-economic status, experience of critical life events and possible care obligations for relatives. The interviews conducted in the first wave focussed perceptions of the concept "retirement", the organisation of time and everyday life and the finiteness of life. In the second wave, the sampling criteria focused on retirees aged 70 years or older. In this group, 7 interviews were conducted with persons who already participated in the first wave. Content-wise, the main focus was now the biographical meaning of the life phase of retirement and old age, including topics such as finiteness, dying and death. Potentials for scientific re-use of the dataset include the meaning of time in the old age, and also relate to (among others) biographical research, gender research, and methodology.
    Keywords: AaZ; AaZ_01; AaZ_02; Age, social sciences; Altern als Zukunft; Case identification; Data collection date; Data ID; Educational attainment; Event duration; File name; Gender, social sciences; General data format; Interview. Problemzentriertes Interview; Language; Marital status; Monthly household income; Number of children; Number of grandchildren; Occupation; Page(s); Pseudonym; PZI; Religion
    Type: Dataset
    Format: text/tab-separated-values, 1690 data points
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  • 6
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    Temperature and heating induced temperature difference measurements from SIMBA-type sea ice mass balance buoy 2020T76, deployed during MOSAiC 2019/20 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA 2020T76(a.k.a. PRIC_10_04, IRIDIUM number 300234068528490) is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the 3rd leg of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) in April 2020. The buoy was deployed at the site about 2 km from the ship with initial thicknesses of snow and ice of 0.14 and 150 m, respectively, on 4 April 2020. The thermistor chain was 5 m long and included 241 sensors with a regular spacing of 2 cm. The depths for the sensors are 72 to -406 cm, referring to the initial interface between snow and ice. The last sensor was used to measure the air temperature at 1 m above the initial snow surface. The resulting time series describes the evolution of temperature and temperature differences after two heating cycles of 30 and 120 s as a function of depth and time between 4 April 2020 and 20 July 2020 in sample intervals of 6 hours for temperature and 24 hours for temperature differences. In addition to temperature, geographic position, barometric pressure, tilt and compass were measured.
    Keywords: 2020T76, PRIC_10_04; Arctic Ocean; MOSAiC; MOSAiC20192020; MOSAiC-ICE; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/3; PS122/3_28-94; SAMS Ice Mass Balance buoy; Sea ice mass balance; SIMBA; snow; Temperature
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 7
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    Temperature and heating induced temperature difference measurements from SIMBA-type sea ice mass balance buoy 2020T77, deployed during MOSAiC 2019/20 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA 2020T77 (a.k.a. PRIC_10_05, IRIDIUM number 300234068524740) is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the 3rd leg of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) in April 2020. The buoy was deployed at the site about 2 km from the ship with initial thicknesses of snow and ice of 0.06 and 1.64 m, respectively, on 4 April 2020. The thermistor chain was 5 m long and included 241 sensors with a regular spacing of 2 cm. The depths for the sensors are 84 to -394 cm, referring to the initial interface between snow and ice. The last sensor was used to measure the air temperature at 1 m above the initial snow surface. The resulting time series describes the evolution of temperature and temperature differences after two heating cycles of 30 and 120 s as a function of depth and time between 4 April 2020 and 4 June 2020 in sample intervals of 6 hours for temperature and 24 hours for temperature differences. In addition to temperature, geographic position, barometric pressure, tilt and compass were measured.
    Keywords: 2020T77, PRIC_10_05; Arctic Ocean; MOSAiC; MOSAiC20192020; MOSAiC-ICE; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/3; PS122/3_28-93; SAMS Ice Mass Balance buoy; Sea ice mass balance; SIMBA; snow; Temperature
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 8
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    Temperature and heating induced temperature difference measurements from SIMBA-type sea ice mass balance buoy 2020T75, deployed during MOSAiC 2019/20 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA 2020T75 (a.k.a. PRIC_10_03, IRIDIUM number 300234068325170) is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the 3rd leg of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) in April 2020. The buoy was deployed at the old helicopter site of central observatorysite with initial thicknesses of snow and ice of 0.12 and 1.64 m, respectively, on 23 April 2020. The thermistor chain was 5 m long and included 241 sensors with a regular spacing of 2 cm. The depths for the sensors are 56 to -422cm, referring to the initial interface between snow and ice. The last sensor was used to measure the air temperature at 1 m above the initial snow surface. The resulting time series describes the evolution of temperature and temperature differences after two heating cycles of 30 and 120 s as a function of depth and time between 23 April 2020 and 6 August 2020 in sample intervals of 6 hours for temperature and 24 hours for temperature differences. In addition to temperature, geographic position, barometric pressure, tilt and compass were measured.
    Keywords: 2020T75, PRIC_10_03; Arctic Ocean; MOSAiC; MOSAiC20192020; MOSAiC-ICE; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/3; PS122/3_28-107; SAMS Ice Mass Balance buoy; Sea ice mass balance; SIMBA; snow; Temperate
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 9
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    Trait measurements and long-term experiment on maintenance of intraspecific diversity using genotypes of phytoplankton species Chaetoceros affinis and Emiliania huxleyi (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Measurements of cell density, nutrient concentration and genotype composition in a long term experiment (91 days) with the marine phytoplankton species Chaetoceros affinis and Emiliania huxleyi, each consisting of nine genotypes. Cultivation of species was done separately in mono-cultures and together in mix-cultures at three different nutrient regimes (10N:1P, 20N:1P, and 30N:1P) with increasing nitrate concentration in a semi-continuous batch cycle system. Transfer of part of the cells into bottles with new nutrients every 7 days at fixed batch cycle length and after 7,4, and 10 days in a recurring fashion at variable batch cycle length. With the information about the genotype abundance we assessed how intraspecific diversity is maintained in response to species competition and nutrient fluctuations. Individual trait measurements for growth, nutrient uptake, and cell volume of the genotypes at seven nitrate levels in a 4-day experiment allowed us to connect traits to the genotype sorting of the long term experiment.
    Keywords: cell size; Chaetoceros affinis; Competition; Emiliania huxleyi; genotype coexistence; nutrient fluctuations; Phytoplankton; Priority Programme 1704 DynaTrait: Flexibility Matters: Interplay between Trait Diversity and Ecological Dynamics Using Aquatic Communities as Model Systems; SPP1704; trait variability; Vmax
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 10
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    Helicopter-borne thermal infrared sea ice surface temperatures during the MOSAiC expedition, version 2 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: We provide high-resolution surface temperature data for a better understanding of the spatial and temporal variability of sea ice surface characteristics in the Arctic winter. Surface temperature images were recorded during helicopter survey flights with the Infrared VarioCAM HD head 680 from InfraTec. The thermal infrared imaging was performed with a down-looking infrared camera installed in a helicopter. This data set includes 35 flights, which were performed, from a local up to a regional scale, during winter 2019/2020 as part of the MOSAiC expedition in the Arctic Ocean. The measurements were done along the transpolar drift from the northern Laptev Sea towards the Fram Strait between 02.10.2019 and 23.04.2020. The usual flight duration was 90 minutes with a flight altitude of about 300 m. The data set includes one file for every flight in all four different data types: (i) a series of images in NetCDF format, (ii) the displayed map in png format, as well as surface temperature maps in (iii) 1 m resolution and (iv) 5 m resolution, both in NetCDF format. The flights can be identified by the event-related Device Operation label or Flight ID. The metadata of the infrared Camera is registered in the AWI Sensor Web at the current Version under https://hdl.handle.net/10013/sensor.0542bbfb-172a-496f-9bce-b21c59cd02c9. Further information can be found in our Data Manual, linked under *Further details*.
    Keywords: 20191002_01; 20191020_01; 20191029_01; 20191105_01; 20191112_01; 20191112_02; 20191119_01; 20191130_01; 20191206_01; 20191224_01; 20191225_01; 20191228_01; 20191230_01; 20200107_01; 20200107_02; 20200108_01; 20200108_03; 20200108_04; 20200116_01; 20200116_02; 20200121_01; 20200123_01; 20200123_02; 20200125_01; 20200128_01; 20200202_01; 20200204_01; 20200209_01; 20200212_01; 20200217_01; 20200217_02; 20200227_01; 20200321_01; 20200321_02; 20200423_01; AC3; airborne; Arctic; Arctic Amplification; Arctic Ocean; ArcTrain; HELI; Helicopter; IceSense; Mosaic; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; Processes and impacts of climate change in the North Atlantic Ocean and the Canadian Arctic; PS122/1; PS122/1_10-78; PS122/1_2-167; PS122/1_2-57; PS122/1_5-9; PS122/1_6-11; PS122/1_7-24; PS122/1_7-25; PS122/1_8-23; PS122/1_9-98; PS122/2; PS122/2_17-101; PS122/2_17-98; PS122/2_17-99; PS122/2_18-7; PS122/2_19-44; PS122/2_19-45; PS122/2_19-46; PS122/2_19-52; PS122/2_19-53; PS122/2_20-52; PS122/2_20-53; PS122/2_21-122; PS122/2_21-41; PS122/2_21-77; PS122/2_21-78; PS122/2_22-16; PS122/2_22-97; PS122/2_23-109; PS122/2_23-14; PS122/2_24-31; PS122/2_25-7; PS122/2_25-8; PS122/3; PS122/3_29-49; PS122/3_32-70; PS122/3_32-71; PS122/3_37-63; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Temperature
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 11
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    Golgotha Cave stalagmite records 1 ka (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Stalagmites GL-S1, GL-S2, GL-S3 and GL-S4 were collected under scientific license issued by Western Australia's Department of Biodiversity, Conservation and Attractions from Golgotha Cave (34.1°S, 115.1°E) in southwest Western Australia, with collection dates of 2005, 2005, 2008 and 2012, respectively. Cave location is rounded to nearest tenth of a degree as exact locations not disclosed for cave conservation purposes. Speleothems were collected for paleoclimate and paleohydrology studies. Golgotha Cave is located in Eucalyptus forest with dense understorey in the Leeuwin-Naturaliste National Park. The hostrock is Quaternary aeolinite and the soil thickness is variable with measurements ranging from 0.3-3 m deep. The cave entrance is 70 m above sea level. Stalagmites GL-S1 and GL-S4 are located approximately 60 m from the entrance where the limestone thickness overhead is 30 m while GL-S2 and GL-S3 are located approximately 90 m from the entrance where the limestone thickness overhead is 40 m. Mean annual site temperature is 15.6 ±0.5°C and mean annual rainfall is 1101±157 mm (1911-2018 period; Australian Bureau of Meteorology AWRA-L dataset http://www.bom.gov.au/water/landscape. Inside the cave, temperature ranges from 14.5-14.8°C, windspeed is low (≤0.03 m s-1) and relative humidity ranges from 98-100% (Treble et al 2019). Each speleothem was sectioned along the growth axis and milled using a Taig micromill to produce homogenised powders representing increments of 0.1 to 0.2 mm, depending on the speleothem growth rate. Powders were weighed to 180–220 μg and analysed for O and C isotopic values (δ18O and δ13C) using a Finnigan MAT-251 isotope ratio mass spectrometer coupled to a Kiel I carbonate device, or a Thermo MAT-253 isotope ratio mass spectrometer coupled to a Kiel IV carbonate device (using 110–130 μg samples), at the Research School of Earth Sciences, ANU. Analyses were calibrated using NBS-19 standard (δ18Ov-PDB = -2.20 ‰ and δ13Cv-PDB = 1.95 ‰). A further linear correction for δ18O measurements was carried out using the NBS-18 standard (δ18Ov-PDB = -23.0 ‰). The original delta values for NBS-19 and NBS-18 are used to maintain consistency of results through time in the RSES Stable Isotope Facility. Analytical precision for the analyses reported here (NBS-19) are ±0.04 ‰ for δ18O and ±0.02 ‰ for δ13C (N=236) for the MAT-251; and ±0.05 ‰ for δ18O and ±0.01 ‰ (N=27) for the MAT-253 instrument (±1σ standard deviation). Speleothem chronologies were determined by combining information from the date of collection, bomb pulse chronology, laminae counting of annual Sr concentration and U-series disequilibrium (see Supplementary Table 8 in Treble et al., 2022). For GL-S1, the age-depth model for 17th percentile was used in Treble et al., (2022) and the 50th percentile used for other stalagmites.
    Keywords: Golgotha Cave; Last millennium; speleothem; stalagmite; Western Australia
    Type: Dataset
    Format: application/zip, 10 datasets
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  • 12
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    Trace elements, stable isotopes and rare earth elements in ostracod valves from sediment cores from Lake Nam Co and Tangra Yumco, Tibetan Plateau (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: High-resolution multi-proxy records from two lakes on the southern Tibetan Plateau, Nam Co and Tangra Yumco, are used to infer long-term variations in the Asian monsoon system. We examine the moisture evolution during the Late Glacial Maximum and Holocene using the trace element and stable isotope composition of ostracod shells. The sediment records covering the past 24 cal. ka BP and 18 cal. ka BP, respectively, demonstrate the suitability of ostracod shell chemistry as paleoenvironmental proxy. We analysed (i) Mg/Ca, Ba/Ca and Sr/Ca ratios as salinity proxies, (ii) Fe/Ca, Mn/Ca and U/Ca ratios representing redox conditions and microbial activity, and (iii) rare earth elements (REEs) reflecting weathering and changes in provenance.
    Keywords: Ostracoda; Paleoclimate; Paleolimnology; Rare earth elements; Stable carbon and oxygen isotopes; trace elements ratio
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 13
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    Analysis of KP peat core from the Kampar Peninsula, Riau, Sumatra Indonesia (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: A multi-proxy palaeoecological investigation including pollen and spore, loss-on-ignition, total organic carbon, stable carbon isotope and micro- and macrocharcoal was carried out on two peat cores collected from coastal area in eastern Sumatra. The study was conducted to understand the development and dynamics of the coastal peatlands, the Kampar Peninsula in Sumatra. Pollen and spore was extracted follwing Fagri and Iversen (1989) and identified using available literature (e.g. Anderson and Muller, 1975; Cheng et al., 2020; Hofmann et al., 2019; Jones and Pearce, 2015; Pollen and Spore Image Database of the University of Goettingen). Microcharcoal analysis was conducted following point count method (Clark, 1982) and counted counted on the same slides for pollen and spore analysis. Macrocharcoal analysis was conducted following protocols in Rhodes (1998) and Stevenson and Haberle (2005). Loss-on-ignition analysis was carried out following (Chambers et al., 2011). Organic carbon content and isotopes were determined in Euro EA3000 elemental analyzer and Thermo Finnigan Delta Plus mass spectrometer, respectively, at the Leibniz Centre for Tropical Marine Research (ZMT), Bremen.
    Keywords: Indonesia; PackPeat_KP; Palaeoecology; PEATC; Peat corer; Peatland; pollen analysis; sea level change; Sumatra, Indonesia
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 14
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    OCE326-GGC6, OCE326-GGC5 and KNR31-GPC5 (Bermuda rise) deglacial record: diatom, foraminifer and magnetic susceptibility (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Diatom assemblages document surface hydrographic changes over the Bermuda Rise. Between 19.2 and 14.5 ka, subtropical diatom species and Chaetoceros resting spores dominate the flora, as in North Atlantic productive regions today. From 16.9 to 14.6 ka, brackish and fresh water diatoms are common and their contribution is generally coupled with total diatom abundance. This same interval also contains rare grains of ice-rafted debris. Coupling between those proxies suggests that successive discharge of icebergs might have stimulated productivity during Heinrich event 1 (H1). Iceberg migration to the subtropics likely created an isolated environment involving turbulent mixing, upwelled water, and nutrient-rich meltwater, supporting diatom productivity in an otherwise oligotrophic setting. In addition, the occurrence of mode water eddies likely brought silica-rich waters of Southern Ocean origin to the euphotic zone. The persistence of lower-salinity surface water beyond the last ice rafting suggests continued injection of fresh water by cold-core rings and advection around the subtropical gyre. These results indicate that opal productivity may have biased estimates of meridional overturning based on 231Pa/230Th ratios in Bermuda Rise sediments during H1.
    Keywords: Diatom; Heinrich Event 1; icebergs; subtropical North Atlantic
    Type: Dataset
    Format: application/zip, 7 datasets
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  • 15
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    The impact of predation on the structuring of Arctic intertidal soft-bottom communities (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Predation is a key modifier of community dynamics, but information on its magnitude in community regulation in systematically understudied Arctic coastal habitats is sparse. To test the magnitude and direction of predation effects on the diversity and structure of Arctic benthic communities, we conducted caging experiments in which consumers were excluded from plots at two intertidal sedimentary sites in Svalbard (Longyearbyen and Thiisbukta) for 2.5 months. At the end of the experiment, we took a sediment core from each plot and quantified the total biomass and, separately for each taxon encountered, the number of individuals. At both sites, the exclusion of predators changed the species composition of the communities, but had negligible effects on biomass, total abundance, species richness, evenness and Shannon index. In addition, we found spatial variability and artifact effects at both sites on several response variables.
    Keywords: Benthos; consumption; environmental conditions; Soft-bottom community; Species interaction
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 16
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    Tethered balloon-borne measurements of aerosol particle microphysics during the MOSAiC expedition from June to July 2020 (2022)
    PANGAEA
    In:  Leibniz-Institut für Troposphärenforschung e.V., Leipzig
    Details
    Publication Date: 2024-06-12
    Description: In the framework of the Multidisciplinary Observatory for the Study of Arctic Climate (MOSAiC) expedition, the tethered balloon system BELUGA (Balloon-bornE moduLar Utility for profilinG the lower Atmosphere) was deployed from a research camp on an ice floe drifting in the Fram Strait in Summer 2020. The BELUGA system consists of a 90 m³ helium-filled balloon with modular instrumentation. Lonardi et al. (2022) gives an overview of the BELUGA observations during MOSAiC leg 4. Pilz et al. (2023) describe the BELUGA operations and data processing routines. The present data set covers the aerosol particle measurements with the Cubic Aerosol Measurement Platform (CAMP) (details in Pilz et al., 2022) on 18 flights with mean altitudes of 1 km between 29 June and 27 July 2020.
    Keywords: ABL; AC3; aerosol particles; Arctic; Arctic Amplification; Arctic Ocean; BELUGA; Mosaic; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/4; PS122/4_45-141; PS122/4_45-156; PS122/4_46-182; PS122/4_47-100; PS122/4_47-166; PS122/4_47-169; PS122/4_47-170; PS122/4_47-98; PS122/4_48-127; PS122/4_48-128; PS122/4_48-130; PS122/4_48-132; PS122/4_48-134; PS122/4_48-137; PS122/4_48-138; PS122/4_48-216; PS122/4_48-218; PS122/4_49-98; Tethered balloon; Tethered balloon system BELUGA; vertical profiles
    Type: Dataset
    Format: application/zip, 18 datasets
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  • 17
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    Palaeo-environmental and -climatic data from core CEN-17.4 from the central Congo peatlands, Likouala Department (1°11'0.49"N, 17°38'23.7"E) and data from supporting cores (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Palaeo-environmental and -climatic data from core CEN-17.4 from the central Congo peatlands, Likouala Department (1°11'0.49"N, 17°38'23.7"E) and data from supporting cores. Bulk organic (TOC, TN, C/N) data and Rock Eval data to assess peat occurrence and degradation status for the central core CEN-17.4 and supporting cores. Radiocarbon dates on fine fractions for all cores. Plant-wax derived n-alkane stable carbon (δ^13^C) and stable hydrogen (δD) isotope data to assess vegetation changes and rainfall changes for the central core CEN-17.4. Selected pollen data for the central core CEN-17.4 to assess palaeo-ecological changes.
    Keywords: Center for Marine Environmental Sciences; central Congo; charcoal; isotopes; MARUM; peat composition; plant waxes; Pollen; precipitation; rock eval
    Type: Dataset
    Format: application/zip, 8 datasets
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  • 18
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    Arctic aerosol and atmospheric observations with the unmanned research aircraft ALADINA in Ny-Ålesund, Spitsbergen, April/May 2018 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Aerosol particles are considered to be one of the main contributors in affecting the feedback mechanisms of the Arctic Amplification. However, to which extent is far away from quantification and this is partly related to a sparse knowledge of the spatial distribution of aerosols, in particular of the vertical distribution in the atmospheric boundary layer. The data set provides measurements of aerosol particle number concentration (for different size classes, above 3 nm, above 12 nm, and in the ranges of 300-500 nm, 500-700 nm and ~700-900 nm) as well as the meteorological parameters of air temperature, air pressure and humidity based on the unmanned research aircraft ALADINA (Application of Light-weight Aircraft for Detecting IN-situ Aerosol) that was used for a field application in Ny-Ålesund, Spitsbergen. Between 24 April and 25 May 2018, 49 measurement flights were performed that consist of vertical profiles (in sum 230) with a total maximum altitude of 850 m above mean sea level (AMSL) above land and horizontal legs (around 300) that were operated at different heights crossing the coast, as well as above open water in order to study a potential impact of different surface properties on the aerosol distribution. Information to studies/references: Preliminary results of the data contributed to the studies of Lampert et al. (2020), Petäjä et al. (2020) and Xavier et al. (2022) and will be presented in an overview study soon.
    Keywords: AC3; Aerosol particle concentration; Aerosol size distribution; Arctic; Arctic Amplification; atmospheric boundary layer; Drone; meteorological parameters; new particle formation; UAS; UAV
    Type: Dataset
    Format: application/zip, 49 datasets
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  • 19
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    Image validation data from Underwater Vision Profiler 5hd measurements during Akademik Tryoshnikov cruise ARCTIC2018 (Transdrift-XXIV / AT2018) (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Results from Underwater Vision Profiler 5hd measurements from campaign ARCTIC2018 (Transdrift-XXIV). Depth profiles for optical particle quantification (〉~0.1 mm) and particle image acquisition (〉~0.8 mm) were performed in August and September 2018 in the Laptev and East Sibirian Sea as well as the Nansen and Amundsen Basin onboard RV Akademik Tryoshnikov.
    Keywords: Arctic; CATS; CATS-Synthesis; CATS-Synthesis: The Changing Arctic Transpolar System; CATS - The Changing Arctic Transpolar System; detrital; East Siberian Sea; Laptev Sea; Zooplankton
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 20
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    High resolution magnetic parameters and correlative model age of the 26 meter Suhia Kladenetz loess-palesol seqeunce near the city of Pleven in Bulgaria (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: The Suhia Kladenetz loess-paleosol sequence was sampled in 2018 on freshly cleaned vertical faces segmenting the larger quarry steps in two to three sub-sections. A continuous column of sediment was prepared and sampled at a 2 cm depth resolution. Slices of bulk sediment of about 10 x 6 x 2 cm in dimension (approx. 300g of material) were taken per sampling interval. The SK sequence is 26.72 m in total vertical thickness, which at a 2 cm continuous depth sampling resolution results in 1336 bulk sediment samples collected. Laboratory measurements of magnetic susceptibility, frequency dependence of magnetic susceptibility both absolute values and percentage, anhysteretic remanent magnetisation, isothermal remanent magnetisation, coercivity and coercive force are reported. Data of two correlative age models built from (1) the correlation of the frequency dependent magnetic susceptibility to the LR04 benthic foraminifera oxygen isotope record, and (2) the correlation of the ratio of a 2T isothermal remanent magnetisation and magnetic susceptibility to the EPICA Dome C (EDC) dust flux record. Estimates of sedimentation rates based on the correlative ages models are also reported.
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 21
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    Growth, respiration and mortality rates of live L. pertusa under gradually amplifying acidification and warming increments and consequences for dissolution and bioerosion of dead coral framework (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: In a 13-months laboratory experiment conducted in 2014/2015, the interactive effects of gradually increasing temperature and pCO2 levels on survival, growth and respiration of two prominent colour morphotypes (white and orange) of the framework-forming cold-water coral Lophelia pertusa (also known as Desmophyllum pertusum), as well as bioerosion and dissolution of dead coral framework were assessed. In six-week intervals, three treatments (T1: acidification, T2: warming, T3: combined acidification and warming) were gradually increased in their respective manipulated parameters by 1°C and/or 200 µatm pCO2 after an initial two intervals under ambient (near in-situ) conditions. Each treatment consisted of 7 replicates that were manipulated over the course of the experiment and 3 control replicates that remained at ambient conditions throughout the entire duration of the experiment. Each replicate tank consisted of one live coral fragment of the white morphotype, one fragment of the orange morphotype and one dead framework fragment (naturally bioeroded framework material). Dead framework was examined with regard to attached bioeroders and calcifying organisms, the latter being removed prior to the experiment. All coral samples were collected from an inshore Norwegian cold-water coral habitat in the outer Trondheim-Fjord near Nord-Leksa (63°36.4'N, 09°22.7'E) between 150 to 230 m water depth using the manned submersible JAGO (GEOMAR, 2017; doi:10.17815/jlsrf-3-157) during RV POSEIDON (GEOMAR, 2015; doi:10.17815/jlsrf-1-62) cruise POS455 in June/July 2013. In situ conditions at the time of sampling near the corals were 7.7°C in temperature, 35.2 in salinity and ~6 mL/L oxygen concentration. Prior to the experiment, corals were kept in a closed recirculating system of 1,700 L in a climate-controlled laboratory facility at GEOMAR in Kiel at near in situ conditions of temperature and salinity (7.8 145 ± 0.2 °C and 35.8 ± 0.6) for half a year. Calcification/dissolution rates of live corals and bioerosion/dissolution rates of dead coral framework were determined using the buoyant weighing technique (Davies, 1989; doi:10.1007/BF00428135) with a high precision analytical balance (Sartorius CPA225D, readability = 0.1 mg) placed above every individual aquarium for each measurement. Respiration rates were determined via oxygen consumption measurements using an optode-based oxygen analyser (Oxy-10 mini, PreSens GmbH). Mortality was examined during every six-week interval by visual inspection of all live fragments. Dead polyp counts were calculated as percentage of total polyps counts of every individual fragment. Carbonate system parameters were calculated from the two measured parameters total alkalinity (TA) and dissolved inorganic carbon (DIC). TA and DIC samples were taken at the end of every 6-week interval and analyzed via potentiometric open-cell titration (862 Compact Titrosampler, Metrohm) in case of TA and by infrared detection of CO2 using an Automated Infra-Red Inorganic Carbon Analyzer (AIRICA with LI-COR 7000, Marianda) in case of DIC. TA and DIC were corrected against Certified Reference Material from A.G. Dickson (Scripps Institution of Oceanography) and density-corrected. The purpose of this study was to examine thresholds and optima of live corals under gradual increases of ocean acidification and warming and to quantify dissolution and bioerosion rates of dead coral framework to ultimately assess the balance between live coral calcification and degradation of dead coral framework under future ocean conditions.
    Keywords: BIOACID; Bioerosion; Biological Impacts of Ocean Acidification; Calcification/Dissolution; cold-water coral; Deep Atlantic; global warming; Metabolic rate; Ocean acidification
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    Format: application/zip, 2 datasets
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  • 22
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    Early Miocene intensification of the North African hydrological cycle: multi-proxy evidence from the shelf carbonates of Malta - Geochemical data (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: A total of 140 samples were collected from the il-Blata section outcropping on the Mediterranean Island of Malta (base of section at 35.9004˚N, 14.3309˚E, top of section at 35.9000˚N, 14.3314˚E). 16 of these samples were selected to determine the 87Sr/86Sr in the bulk sediment and used to generate numerical ages using the LOWESS FIT for Sr-Stratigraphy (McArthur et al., 2012). All 87Sr/86Sr measurements conducted at the University of Geneva using a Thermo Neptune PLUS Multi-Collector inductively coupled plasma mass spectrometer. Data and numerical age model presented in table S1. The εNd data from (Bialik et al., 2019) were recalibrated to fit the new age model and presented in table S2. The percentage carbonate matter was measured using a FOGl digital calcimeter at the University of Malta (table S3). Dry powders were used to generate a stable isotope (δ18O & δ13C) record (table S4), all measurements were conducted on a Gasbench II coupled to a Thermo Delta V Advantage isotope ratio mass spectrometer at the School of Earth and Environmental Sciences, Cardiff University. Dry bulk sediment powders were also used to obtain major element composition and calculate element ratios Sr/Ca, Ti/Al, K/Al, Zr/Al, Si/Ti. All element measurements were conducted at The School of Earth and Environmental Sciences, Cardiff University using a hand-held Olympus Delta Innov-X XRF gun. Element data presented in table S5. Mean values of the ratios Sr/Ca, Ti/Al, K/Al, Zr/Al and Si/Ti were obtained for three different parts in the section in order to determine regime changes (table S6).
    Keywords: Carbonate Content; element ratios; Malta; Miocene; Stable isotopes; Strontium isotope stratigraphy; Tethys
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 23
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    Hyperspectral above-water radiometric quantities observed during cruise aboard RV IBIS on Lake Victoria, Uganda, from 13 to 15 October 2021 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Hyperspectral radiometric quantities were observed at a 5-minute sampling interval in the Ugandan portion of Lake Victoria during a scientific field campaign aboard research vessel (RV) IBIS from 13 to 15 October 2021. The three-day fieldwork was coordinated starting from the Napoleon Bay, Jinja, Uganda. A radiometer setup with one TriOS RAMSES-ACC hyperspectral cosine irradiance meter to measure incoming solar irradiance and two TriOS RAMSES-ARC hyperspectral radiance meters to measure total upward sea surface leaving radiance (Lsfc) at 45° nadir and sky-leaving radiance (Lsky) at 45° zenith angle, was installed using a custom-made frame at the bow of RV IBIS. Data logging of raw and calibrated radiometric quantities was automated using TriOS MSDA XE version 8.9.2 software. Further processing was done using Mathworks Matlab 2016a and R software. Processed data was interpolated to 1 nm spectral resolution using PCHIP function in Matlab between 320 and 950 nm. Only the data with valid GPS coordinates and with spectra contributing less than 3% is included in this file, the rest of the data is available on request.
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 24
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    Middle Pleistocene re-organization of Australian Monsoon (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: We integrate benthic foraminiferal δ18O data, X-ray fluorescence (XRF) scanner-derived elemental data, light reflectance spectroscopy and spectral gamma ray records from IODP Site U1483 (13°5.24'S, 121°48.25'E; 1733 m water depth) in the Timor Sea off NW Australia to monitor secular variations in terrigenous river discharge, productivity and bottom water oxygenation and to investigate the primary drivers of the Australian Monsoon's evolution between 1.6 and 0.4 Ma.
    Keywords: Australian Monsoon; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; IODP Expedition 363; Middle Pleistocene Transition
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    Format: application/zip, 4 datasets
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  • 25
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    Salt marsh soil carbon content, loss on ignition, dry bulk density, carbon stocks, lead-210 and carbon accumulation rates, for Clayoquot Sound, British Columbia, Canada (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: The goal of this project was to provide the first estimates of blue carbon stocks and carbon accumulation rates in the high and low marsh zones of salt marshes from the Pacific Coast of Canada, within the Clayoquot Sound UNESCO Biosphere Reserve and Pacific Rim National Park Reserve on the Pacific Coast of Canada. To achieve this goal, 34 sediment cores were collected from seven salt marshes during summer (June-September) 2016. At each core site, marsh zone (high vs low) was determined using vegetation types surrounding the core site. Sediment cores were then collected using a simple percussion coring technique in which a length of two-inch (57 mm) diameter, PVC vacuum tubing fitted with a plastic core catcher (AMS Inc.) was hammered into the ground until the depth of refusal. At the GBK location, a steel sledge corer (AMS Inc.) was used to extract four cores before mechanical problems required switching to the simpler percussion method. For all sites, we recorded the deepest sediment depth at which peat was found (referred to as the "Peat Base"), as well as the sediment type at the base of each core. On all 34 cores, we measured core compaction, dry bulk density, % loss-on-ignition, and % organic carbon (using an elemental analyzer, on select number of samples). From these parameters we estimated % organic carbon (using a regression equation between % organic carbon and %LOI), soil carbon density, and carbon stocks measured to (a) the depth of the basal peat layer, (b) a depth of 20 cm, and (c) to the depth of the 30-year horizon (estimated in the 8 cores where 210Pb analysis was completed). Radioisotope (210Pb and 226Ra) measurements were conducted on 8 cores (4 from high marsh zone and 4 from low marsh zone) from marshes CBE, CRF, GBK, and TMF, to create age models for estimating carbon accumulation rates. This research was funded by a grant from the Commission for Environmental Cooperation to KEK, a Natural Sciences and Engineering Research Council [Discovery Grant RGPIN342251] to KEK; and Natural Sciences and Engineering Research Council Canada Research Chair Award to KEK. It received substantial in-kind field and laboratory support from Parks Canada (MGP).
    Keywords: 210Pb; blue carbon; carbon accumulation rates; carbon stocks; dry bulk density; loss on ignition; organic carbon; Pacific Canada; salt marsh; tidal wetland
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    Format: application/zip, 3 datasets
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  • 26
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    Microbial community composition of biological soil crusts in coastal sand dunes in northern Germany (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: This data collection comprises environmental data and taxonomic parameters of the investigated biocrusts of sampling sites in coastal and inland sand dunes in northern Germany. Sampling took place in spring 2020 and winter 2021. Biocrusts and uppermost sediment samples were collected along dune successional gradients and sequenced by LGC Genomics Ltd. Corresponding sequence data of biocrust organisms are archived at the European Nucleotide Archive.
    Keywords: 16S rRNA; algae; Crusts; dune; Leibniz Science Campus Phosphorus Research Rostock; Phosphorus_Research; sediment analysis; soil ecology
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    Format: application/zip, 2 datasets
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  • 27
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    Effects of soil management on vegetation parameters, soil parameters, soil microbial diversity and soil functions in nine vineyards in Rhine-Hesse, Germany, studied from 2016-2017 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: We investigated the effects of soil management on plant diversity, vegetation cover, soil parameters, bacterial and fungal diversity, and soil functions (soil respiration and decomposition of two different substrates) using a balanced experimental design covering nine vineyards in Rhine-Hesse, Germany. In all vineyards, we applied four soil management types: complete cover, herbal seed mixture cover, alternating tillage, and complete tillage. Plots were installed in 2015. Data acquisition was done in 2016 and 2017, except for soil respiration, which was only measured in 2016. Plant diversity and vegetation cover were assessed in the field. Soil parameters (C and N, pH, P, K, Mg, Cu) were measured using standard methods. Soil bacterial and fungal diversity was assessed using DNA extraction and Illumina sequencing. The Shannon Diversity Index based on bacterial and fungal OTUs was used as a metric for diversity. Basal soil respiration rate was measured by oxygen consumption using a customized respirometer in the lab. Litter decomposition was measured in the field over a period of 90 days by using the Tea Bag Index method, which applies standardized tea types as organic material.
    Keywords: agroecology; Field experiment; microbial ecology; PromESSinG; Promoting Ecosystem Services in Grapes; soil ecology; soil functions; viticulture
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    Format: application/zip, 11 datasets
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  • 28
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    High resolution, continous, carbon monoxide records from Greenland ice cores (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: We present high-resolution measurements of CO mixing ratios from ice cores drilled at five different sites on the Greenland ice sheet. An optical-feedback cavity-enhanced absorption spectrometer (OF-CEAS) was coupled with continuous melter systems and operated during four analytical campaigns conducted between 2013 and 2019 at the Desert Research Institute (DRI, USA) and the Institut des Géoscience de l'Environnement (IGE, France). The CFA-based CO measurements exhibit excellent external precision (ranging from 3.3 to 6.6 ppbv, 1 sigma) and achieve consistently low blanks (ranging from 4.1 +/- 1.2 to 12.6 +/- 4.4 ppbv), enabling paleoatmospheric interpretations. Consistent baseline CO records from four Greenlandic sites (PLACE, D4, NGRIP, and NEEM) are combined to produce a multisite average ice core reconstruction of past atmospheric CO for the Northern Hemisphere high latitudes, covering the period from 1700 to 1957 CE. Such a reconstruction should be taken as an upper bound of past atmospheric CO abundance.
    Keywords: atmospheric composition; carbon monoxide; Greenland; Holocene; ice cores; NEEM; North Greenland Eemian Ice Drilling
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    Format: application/zip, 7 datasets
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  • 29
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    A refined age model for the U1361A marine sediment core (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: This data set displays a refined age scale for the U1361A marine sediment core (64.41°S, 143.89°E, 3,454 m water depth), recovered from the continental rise offshore of the Wilkes Subglacial Basin, during the Integrated Ocean Drilling Program (IODP) Expedition (Escutia et al. 2011). This age scale is a refined version of the age scale published in Wilson et al. 2018. Here we use the AICC2012 ice core chronology as a reference curve in order to compare the late Pleistocene sediment core data from U1361A to the TALDICE ice core record. Specifically, we refine the existing U1361A age model through the alignment of barium/aluminium (Ba/Al) ratios from XRF-scanning7 with the EDC δD record on the AICC2012 age scale. We apply a conservative tuning strategy to align the two records, using tie points (derived by visual matching) only at the mid-points of the major glacial terminations I-V. Over the interval of interest for the present study (i.e. ~100-350 ka), the new age model for core U1361 differs by only 0 to 6 ka compared to the previous age model in which the sedimentation rate was assumed to be constant. The Nd and IBRD (ice rafted debris) and 143 Nd/144 Nd records for the U1361A published in Wilson et al. (2018) are drawn on the refined age scale.
    Keywords: 318-U1361A; Antarctica; chronology; DRILL; Drilling/drill rig; Exp318; Joides Resolution; Sediment core; Wilkes Land
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    Format: application/zip, 2 datasets
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  • 30
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    Ba/Ca, Mg/Ca, and stable isotope values since the LGM measured in individual and bulk shells of planktic foraminifera from four cores of the equatorial Pacific (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: The datasets compile Ba/Ca (µmol/mol), Mg/Ca (mmol/mol), δ18O (VPDB, ‰), and δ13C (VPDB, ‰) measured in individual and bulk shells of spinose planktic foraminifera Trilobatus sacculifer and non-spinose planktic foraminifera Neogloboquadrina dutertrei and Pulleniatina obliquiloculata collected from two cores on the Ontong Java Plateau (OJP) and two cores from the Eastern Equatorial Pacific (EEP). Trace elements in individual shells are measured with a laser ablation inductively coupled plasma mass spectrometer (ICP-MS) and trace elements in bulk shells are measured with a solution ICP-MS. Stable isotope analysis is conducted on paired individual shells (paired based on Mg/Ca content) with an isotope ratio mass spectrometer. ID denotes which individual shells are paired for the analysis.
    Keywords: Ba/Ca; equatorial Pacific; LGM; Mg/Ca; paleoproductivity; planktic foraminifera; Stable isotopes
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    Format: application/zip, 3 datasets
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  • 31
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    Stable isotope composition (δ18O, δ2H) of river runoff, groundwater and precipitation at three hydrological stations in the European part of Russia (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Empirical study of the isotopic features of river runoff were carried out at three hydrological posts in 3 different river basins: the Zakza river in the southwest of the Moscow region, the Dubna river in the north of the Moscow region and the Sosna river in the Voronezh region. Samples of river water, groundwater and precipitation were collected at weekly intervals from September 2019 to October 2021. The analysis was performed by a Picarro L2130-i isotope analyzer. The accuracy was 0.04‰ for δ18О and 0.1‰ for δ2Н. The values are calibrated in the VSMOW-VSLAP scale.
    Keywords: groundwater; precipitation; runoff; stable isotope composition of oxygen and hydrogen
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    Format: application/zip, 4 datasets
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  • 32
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    Electron microprobe analysis and Ar-Ar age dating of polyhalite from the evaporitic Permian Haselgebirge Formation (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: To test polyhalite age dating of the mineral polyhalite [K2Ca2Mg(SO4)4·2H2O], samples of the evaporitic Permian Haselgebirge Formation were collected in the Eastern Alps. Samples were taken from two salt bodies. The salt body of Altaussee (UTM 33T 405316 5278325) has a vertical thickness of 〉800 m. Samples were collected in the Altaussee mine (ALT). The salt body of Bad Dürrnberg-Berchtesgaden (UTM 33T 351091 5278007) is at least 1000 m thick. The salt body comprises two separate mines, where samples were collected, Bad Dürrnberg (DÜ) and Berchtesgaden (BGD) salt mines. The samples were collected during several field trips, and investigated at the University of Salzburg during the years 2007-2015. Electron microprobe analyses were conducted to determine possible chemical variations of polyhalite.
    Keywords: age dating; Eastern Alps; Haselgebirge; polyhalite
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    Format: application/zip, 3 datasets
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  • 33
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    TALDICE high resolution measurements of d18O, d-excess and ssNa+ fluxes for MIS 5.5, MIS 7.5 and MIS 9.3 (2022)
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    Publication Date: 2024-06-12
    Description: The data here described are presented in the submitted paper Response of the Wilkes Subglacial Basin Ice Sheet to Southern Ocean Warming During Late Pleistocene Interglacials by Crotti et al. This data set includes new high resolution measurements of d-excess, d18O and ssNa+ for the Antarctic TALDICE ice core (Latitude: -72.783330, Longitude: 159.066670, Elevation: 2315.0 m). The new data set covers the interglacials periods of MIS 5.5, MIS 7.5 and MIS 9.3 (1486 m depth - 1548 m depth). The data are drawn on the TALDICE deep1 chronology (Crotti et al. 2021). The d-excess (d = δD − 8 × δ18O) (permill) record covers the periods MIS 5.5 , MIS 7.5 and 9.3 MIS is at 5 cm resolution and spans the following age-depths intervals: • MIS 5.5. Between 1378.5 and 1421.65 m depth, 110-135 ka • MIS 7.5. Between 1521.85 and 1524.5 m depth, 243-248 ka • MIS 9.3. Between 1541.80 and 1547.90 m depth, 320-343 ka The d18O record (permill) covers the periods MIS 5.5 , MIS 7.5 and 9.3 MIS is at 5 cm resolution and spans the following age-depths intervals: • MIS 7.5. Between 1521.85 and 1524.5 m depth, 243-248 ka • MIS 9.3. Between 1541.80 and 1547.90 m depth, 320-343 ka The ssNa+ fluxes record covers the periods MIS 5.5 , MIS 7.5 and 9.3 MIS is at 8 cm resolution and pans the following age-depths intervals: • MIS 7.5. Between 1521.81 and 1524.54 m depth, 243-248 ka • MIS 9.3. Between 1541.73 and 1547.96 m depth, 320-343 ka The d18O and dD (non presented here) to calculate the d-excess were analysed in Italy (University of Venice) and France (LSCE) using the Cavity Ring Down Spectroscopy (CRDS) technique. Analyses were performed using a Picarro isotope water analyser (L2130-i version for both laboratories). The data were calibrated using a three-point linear calibration with three lab-standards that were themselves calibrated versus Standard Mean Ocean Water (SMOW). The average precision for the δ18O and δD measurements is 0.1 and 0.7 ‰, respectively. The concentrations of ssNa+ were measured on TALDICE ice samples at 8 cm resolution by classical ion chromatography on discrete samples collected using a melting device connected to an auto-sampler for the MIS 7.5 and MIS 9.3 whereas Continuous Flow Analysis (CFA) was applied for MIS 5.5 samples. The total deposition ssNa+ flux was calculated multiplying the measured ice concentration of ssNa+ by the reconstructed accumulation rate. The accumulation rates were derived from the accumulation rates were obtained from the TALDICE deep1 age scale (Crotti et al. 2021).
    Keywords: Antarctica; Electromechanical drill; EMD; Ice core; isotopes; TALDICE; Talos Dome
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    Format: application/zip, 7 datasets
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  • 34
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    LA-ICP-MS zircon and monazite U-Pb data for the key lithological units in the Chonghuer-Jiadengyu region of the Chinese Altai (2022)
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    Publication Date: 2024-06-12
    Description: Identification of advancing and retreating modes in fossil orogenic belts is not always straightforward. Such issue is addressed in the submitted paper via the case study of the northwestern Chinese Altai where the suprasubduction structures are well preserved. Combined with detailed mapping, structural/petrological observations, seven samples were collected from the key lithological units of Jiadengyu and Chonghuer region in the Xinjiang Uygur Autonomous Region for zircon and monazite U-Pb dating to provide critical geochronological constraints on the individual deformational episodes, including two zircon samples (19CA36 and 17CA105-7) and five monazite samples (17CA107, 17CA105-4, 19CA41, 19CA45-1, and 19CA45-3). Migmatite samples 19CA41 and 17CA107 are characterized by sub-horizontal S1 foliations associated with extensional shear bands. Sample 19CA45-1 collected from the migmatitic Habahe Group domain shows nearly complete transposition of S1 foliation by S2 fabric. Samples 19CA36 and 19CA105-7 were collected from syn-D2 granite intrusions. Leucogranite dyke (sample 17CA105-4) and pegmatite (sample 19CA45-3) were emplaced as tensional fractures that formed in response to D2 shortening. Zircon and monazite grains were separated after rock crushing using conventional heavy liquid and magnetic properties and then selected under a binocular microscope. These grains were mounted in epoxy resin, polished to approximately one-third of their thickness. U-Pb dating of zircon and monazite were analyzed by LA-ICP-MS at the Wuhan SampleSolution Analytical Technology Co., Ltd. U-Pb dating of zircon samples were conducted by a COMPexPro 102 ArF excimer laser and a MicroLas optical system coupled with an Agilent 7700e ICP-MS. Most analyses were performed with a beam diameter and frequency of 32 μm and 5 Hz. GJ-1 standard zircon was also determined for monitoring the accuracy of U-Pb dating. Zircon 91500 was used as an external standard for U-Pb dating calibration. U-Pb dating of monazite samples was performed using the same operating processes and instruments. In this work, the spot size and frequency of the laser were set to 16 μm and 2 Hz, respectively. Monazite standard 44069 was used as an external standard for U-Pb dating. Monazite standard Trebilcock was used as a secondary standard to assess the accuracy of analyses. Each analysis of zircon/monazite was performed using a background acquisition of approximately 25 s followed by 65 s of data acquisition.
    Keywords: Chinese Altai; LA-ICP-MS; monazite; zircon
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    Format: application/zip, 2 datasets
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  • 35
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    Physical properties of sea ice cores for biogeochemistry studies measured on legs 1 to 3 of the MOSAiC expedition (2022)
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    Publication Date: 2024-06-12
    Description: We present sea ice temperature and salinity data from first-year ice (FYI) and second-year ice (SYI) relevant to the temporal development of sea ice permeability and brine drainage efficiency from the early growth phase in October 2019 to the onset of spring warming in May 2020. Our dataset was collected in the central Arctic Ocean during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Expedition in 2019 to 2020. MOSAiC was an international transpolar drift expedition in which the German icebreaker RV Polarstern anchored into an ice floe to gain new insights into Arctic climate over a full annual cycle. In October 2019, RV Polarstern moored to an ice floe in the Siberian sector of the Arctic at 85 degrees north and 137 degrees east to begin the drift towards the North Pole and the Fram Strait via the Transpolar Drift Stream. The data presented here were collected during the first three legs of the expedition, so all the coring activities took place on the same floe. The end dates of legs 1, 2, and 3 were 13 December, 24 February, and 4 June, respectively. The dataset contributed to a baseline study entitled, Deciphering the properties of different Arctic ice types during the growth phase of the MOSAiC floes: Implications for future studies. The study highlights downward directed gas pathways in FYI and SYI by inferring sea ice permeability and potential brine release from several time series of temperature and salinity measurements. The physical properties presented in this paper lay the foundation for subsequent analyses on actual gas contents measured in the ice cores, as well as air-ice and ice-ocean gas fluxes. Sea ice cores were collected with a Kovacs Mark II 9 cm diameter corer. To measure ice temperatures, about 4.5 cm deep holes were drilled into the core (intervals varied by site and leg) . The temperatures were measured by a digital thermometer within minutes after the cores were retrieved. The ice cores were placed into pre-labelled plastic sleeves sealed at the bottom end. The ice cores were transported to RV Polarstern and stored in a -20 degrees Celsius freezer. Each of the cores was sub-sampled, melted at room temperature, and processed for salinity within one or two days. The practical salinity was estimated by measuring the electrical conductivity and temperature of the melted samples using a WTW Cond 3151 salinometer equipped with a Tetra-Con 325 four-electrode conductivity cell. The practical salinity represents the the salinity estimated from the electrical conductivity of the solution. The dataset also contains derived variables, including sea ice density, brine volume fraction, and the Rayleigh number.
    Keywords: AC3; Arctic Amplification; Arctic Ocean; Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic; ARICE; brine; first-year ice; HAVOC; MOSAiC; MOSAiC_BGC; MOSAiC_ECO; MOSAiC_ICE; MOSAiC_SNOW; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Ridges - Safe HAVens for ice-associated Flora and Fauna in a Seasonally ice-covered Arctic OCean; Sea ice; second-year ice; Temperature and Salinity
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 36
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    Geochemical and age model data from Frasnian–Famennian extinction records from the H-32 core (Iowa, USA), the Kowala Quarry (Poland), and Sinsin (Belgium) (2022)
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    Publication Date: 2024-06-12
    Description: Geochemical data for three sedimentary records of the Frasnian–Famennian extinction and Upper Kellwasser Event, from the H-32 core (Iowa, USA), the Kowala Quarry (Poland), and Sinsin (Poland), together with time vs depth information for the revised age model of the H-32 core. Nitrogen-isotope and nitrogen content data are included for all three sites, together with biomarker information for Kowala and the H-32 core, carbon isotope data for Kowala and Sinsin, total organic carbon for the H-32 core and Sinsin, Rock Eval data from the H-32 core, phosphorus and aluminium content data, and P/Al and TOC/P ratios, from the H-32 core, and time-depth data from the H-32 core.
    Keywords: Age model; Biomarkers; carbon isotope; nitrogen isotope; Phosphorus; rock eval
    Type: Dataset
    Format: application/zip, 13 datasets
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  • 37
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    KNR197-10CDH42 (Laurentian fan, Western North Atlantic) paleoceanographic data (Last Glacial Maximum) (2022)
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    Publication Date: 2024-06-12
    Description: Millennial scale events marked by the contribution of detrital sand are recorded in North Atlantic sediments during the Last Glacial Maximum (LGM), between Heinrich events (HE) 1 and 2, and left their imprint on Laurentian Fan (LF – 43◦N) sediments off eastern Canada. The LF counterpart of the wellknown detrital events consist of glacial red-brick sediments resulting from subglacial flows separated by olive-grey sediments appears at ∼21.4–19.9 and ∼19.5–18.65 cal kyr BP. High-resolution analyses of diatom assemblages and lithic grains coupled with planktonic oxygen isotopic records reveal that while the red sediment is almost barren of diatoms, foraminifera and lithics (〉150 μm), they are abundant in the olive-grey sediment. Diatom assemblages reveal three phases during these events: (1) initial relatively warm/temperate conditions followed by (2) very cold surface water and drifting ice, and (3) a final phase characterized by relatively warmer waters and the appearance of detrital carbonate. Although these events possibly reflect the variability specific to the slope water region, they are likely the response to Atlantic Meridional Overturning Circulation perturbations and ice-sheet instability. Through a chain of mechanisms, meltwater inputs into the North Atlantic led ultimately to an increased volume of tropical waters and part of the heat stored in the subsurface was flushed by a brief convective episode that was not sustained, accounting for the return of cold conditions after the events. The sequence of mechanisms deduced from the paleo data here and elsewhere is consistent with previous modeling results. These data suggest that the detrital events between Heinrich event 1 and 2 may be synchronous across the North Atlantic, and that the LGM was probably not a time of prolonged steady state in the climate system.
    Keywords: detrital events; diatoms; Ice Rafted Debris; Last Glacial Maximum; Laurentide Ice Sheet; subglacial flows
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    Format: application/zip, 7 datasets
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  • 38
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    Relative elemental concentrations of Ti, V, Cr, Mn, Fe, Ni, Cu, Zn, Ga, Ge, and As of a drill core sample of the Kuruman BIF with microbands measured by the synchrotron-radiation-based µ-XRF (2022)
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    Publication Date: 2024-06-12
    Description: Modern-day solar cycles due to the solar magnetic field oscillation are well recognized. Owing to the response of Earth's climate to solar activity fluctuation, solar cycles in the Phanerozoic eon have been recorded by laminites and fossil tree rings. However, the existence of magnetic cycles within the Sun younger than 3100 million-year-old is still unknown. The deposition of Precambrian banded iron formations (BIFs) reflects the primary productivity of the early ferruginous oceans and is coupled to climatic fluctuations. Here we apply synchrotron-radiation-based µ-XRF with 20 µm interval on a 60 mm long, 2470 million-year-old BIF from the Kuruman Formation, South Africa. The sample is from core GKF01 drilled at the location S 28° 56' 06.0” E 023° 15' 00.0”, as described in Schröder et al. (2006). µ-XRF measurements of the sample were performed at beamline BL15U1 of Shanghai synchrotron radiation facilities (SSRF) with a designed 3.5 GeV electron storage ring and 150-250 mA current. For these measurements, the beam size was controlled at 5 µm × 3 µm (horizontal × vertical). For the XRF measurement, the excitation energy was set at 14.0 KeV, and the dwelling time was set to 5 s. A line of 2972 points was scanned with an interval of 20 µm, perpendicular to the BIF sample's microbands. Relative elemental concentrations in counts per second (cps) were obtained by fitting the µ-XRF profiles using PyMca (raw). Segments with systematic measuring anomalies were removed (tail removed). Our spectral analyses of multiple elemental concentration series reveal prominent and consistent 80-year cyclicity, which is best explained as the Gleissberg solar cycle. The result is reported in the article 2470 million-year-old banded iron formation reveals a climatic oscillation consistent with the Gleissberg solar cycle published in Communications Earth & Environment.
    Keywords: µ-XRF; BIF; microband
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    Format: application/zip, 2 datasets
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  • 39
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    Alkenone concentration and sea surface temperature in surface sediments (2022)
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    Publication Date: 2024-06-12
    Description: Alkenone concentration and radiocarbon age in 7 gobally-distributed surface sediment samples and their associated grain-size fractions. Total organic carbon (TOC) and fractional abundance of grain-size fractions from bulk sediments (Bulk%) are taken from Ausín et al. (2021). Analytical precision of Uk'37 is 0.003 units. Uk'37-SST propagated error is ±0.51℃. These parameters were measured to explore the influence of alkenone-mineral associations and hydrodynamic mineral sorting processes on alkenone proxy signals. Bulk sediment samples were fractionated into four grain-size fractions (sand (〉300-63 µm); coarse silt (63-10 µm); fine silt (10-2 µm); and clay (〈 2 µm) prior to lipid extraction and manual column chromatography to obtain a ketone fraction containing the alkenones. The concentration and distribution of C37 alkenones was analyzed using gas chromatography with flame ionization detection (GC-FID) at the Biogeoscience Group Laboratories, ETH Zürich in 2018. The ketone fractions used for determination of alkenone concentration and unsaturation were further purified for compound specific radiocarbon analysis following Ohkouchi et al. (2005). Samples, were measured as CO2 using an Elemental-Analyzer system interface coupled to a gas ion source (GIS)-equipped Minicarbon Dating System (MICADAS) at the Laboratory of Ion Beam Physics, ETH Zürich in 2018. References Ausín, B., Bruni, E., Haghipour, N., Welte, C., Bernasconi, S. M., & Eglinton, T. I. Controls on the abundance, provenance and age of organic carbon buried in continental margin sediments. Earth and Planetary Science Letters, 558, 116759, doi:10.1016/j.epsl.2021.116759, 2021. Ohkouchi, N., Xu, L., Reddy, C. M., Montluon, D., & linton, T. I. Radiocarbon dating of alkenones from marine sediments: I. Isolation Protocol Radiocarbon, 47, 401-412, doi:10.1017/S0033822200035189, 2005.
    Keywords: Alkenones; grain-size fractions; lateral transport; radiocarbon
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    Format: application/zip, 2 datasets
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  • 40
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    Sediment grain-size, XRF and RockEval datasets for three on-mound cold-water coral mound cores (East Melilla Coral Province, Mediterranean Sea) (2022)
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    Publication Date: 2024-06-12
    Description: These sedimentological and geochemical analyses were carried out on three on-mound cold-water coral mound cores (MD13-3455G, MD13-3459G and MD13-3462G) recovered in the East Melilla Coral Province (Southeast Alboran Sea, Mediterranean Sea) during the EUROFLEETS cruise MD194 “Gateway” on board the RV Marion Dufresne II in June 2013. The time period of the studied core sections covers the last 15 ky and offers a high-resolution temporal record of the Bølling–Allerød interstadial. The core sites are situated approximately 1 km apart on the crest of Brittlestar Ridge I (35°26.087'N, 2°30.100'W). More precisely, the three datasets presented here correspond to: (1) particle size analysis results determined on the siliciclastic fraction using the Malvern Mastersizer 3000 at the Department of Geology at Ghent University. These analyses were carried out in order to quantify important changes in sediment flux and bottom current velocity. (2) Scanning X-ray fluorescence (XRF) was carried out using the Itrax high-resolution XRF core scanner at the Institute of Geological Sciences, University of Bern, to measure relative element concentration changes in the sediments of the cold-water coral mounds; whereas (3) RockEval6 pyrolysis was carried out at the Laboratory of Sediment Geochemistry at the University of Lausanne (Switzerland) to characterize the organic carbon content of the mound sediments
    Keywords: Alboran Sea; cold-water coral; Grain Size; TOC; XRF
    Type: Dataset
    Format: application/zip, 7 datasets
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  • 41
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    Carboxylic acids, alkanols and stable isotope values (δ13C and δ15N) of fresh stomach oils and sub-stomach oil deposits of snow petrels (Pagodroma nivea) (2022)
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    Publication Date: 2024-06-12
    Description: The dataset comprises data on the lipid composition (carboxylic acids and alkanols) and stable isotope values (δ13C and δ15N) obtained from fresh stomach oils and sub-stomach oil deposits of snow petrels (Pagodroma nivea). The samples were collected in different un-glaciated regions of East Antarctica (Dronning Maud Land, Mac. Robertson Land, Prince Charles Mountains and Windmill Islands). The stomach oils and sub-fossil stomach oil deposits were analyzed to investigate the paleodiet of the birds and to relate information of paleodiet to past environmental conditions. The alkanoic acids and alkanols were analysed from total lipid extracts by capillary gas chromatography with GC-FID (Gas chromatograph with Flame ionization detector) and GC-MS (single quadrupole mass spectrometer coupled with gas chromatograph). Total lipid extracts were analysed for the δ13C isotopic composition. The un-soluble residues, retained after lipid extraction, was analysed for δ13C and δ15N isotopic composition. This work was funded by the Deutsche Forschungsgemeinschaft (DFG) in the framework of the priority program "Antarctic Research with comparative investigations in Arctic ice areas" (grants BE 4764/5-1 and BE 4764/6-1).
    Keywords: carboxlic acids; East Antarctica; pagodroma nivea; paleodiet; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; SPP1158; stomach oil deposits; δ13C; δ15N
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    Format: application/zip, 2 datasets
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  • 42
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    Local adaptation of microscopic stages of North Atlantic Laminaria digitata to high and low temperatures along latitudes: survival, reproduction and growth (2022)
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    Publication Date: 2024-06-12
    Description: To assess the thermal adaptation of microscopic stages of the kelp Laminaria digitata along latitudes, we conducted laboratory experiments on samples from six locations in the NE Atlantic (Spitsbergen (SPT), Tromsø (TRM), Bodø (BOD; all Norway), Helgoland (HLG; Germany), Roscoff (ROS) and Quiberon (QUI; both France)), spanning the species' entire distribution range. In experiment 1, we exposed gametophytes to (sub-) lethal high priming temperatures (20-25°C) for two weeks, followed by two weeks of recovery at 15°C, to observe gametophyte survival and sporophyte formation. In experiment 2, samples were subjected to (sub-) optimal low temperatures (0-15°C) for 21 days, to assess gametophyte survival, sporophyte formation and growth. During the experiments, samples were kept in 15 µmol photons/m²/s white light under a 16:8h light:dark cycle. Prior to the experiments, cultures were stored at 15°C in iron-free ½ Provasoli enriched seawater in 3-4 µmol photons/m²/s red light.
    Keywords: common garden experiment; gametogenesis; growth; kelp; Laboratory experiment; latitude; Local adaptation; North Atlantic; Reproduction; Survival; Temperature; upper survival temperature
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    Format: application/zip, 3 datasets
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  • 43
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    Subcellular to shoot-scale photoacclimation of intertidal temperate seagrass Zostera marina to light attenuation (2022)
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    Publication Date: 2024-06-12
    Description: The dataset compiles pigment content, absorptance data, photosynthetic parameters and primary production data as proxies for summertime photoacclimation of the temperate intertidal eelgrass Zostera marina after a 25-day exposure to a natural light intensity gradient (6, 36, 74, 133, 355, 503 and 860 µmol photons/m²/s) under laboratory conditions at the Pointe-au-Père research station, East Rimouski, Quebec, Canada. The data bundle contains: 1) photosynthetic and total absorptance data at the end of the experiment, which respectively represent the fraction of incident visible light absorbed by the photosynthetic tissues corrected and not corrected for non-photosynthetic absorption; 2) pigment content at the end of the experiment, which includes chlorophyll a and b and total carotenoids contents; 3) photosynthetic parameters obtained by Rapid Light Curves (RLC) on days 5 and 25, including photosynthetic apparatus efficiency (alpha), capacity (ETRmax) and saturation (Ek); 4) whole shoot primary production at the end of the experiment, which was calculated from oxygen fluxes under light and dark conditions, and normalized by leaf surface.
    Keywords: Acclimation; East_Rimouski; Eelgrass; Hand picking; Laboratory experiment; light intensity; PAM fluorometry; photophysiology; Quebec, Canada; subarctic; Zostera marina
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    Format: application/zip, 4 datasets
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  • 44
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    WA-21-6-A and WB-21-5-A speleothem geochemistry (2022)
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    Publication Date: 2024-06-12
    Description: The dataset includes speleothem carbon isotopes, oxygen isotopes, U-Th ages, and fluid inlcusion hydrogen isotopes used to reconstruct climate in southeastern Alaska during the past ~3,500 years. Speleothem WB-21-5-A was collected in Wishbone Cave (55.774 N, -133.191 E; 420 m.a.s.l.) and speleothem WA-21-6-A was collected in Walkabout Cave (55.776° N, 133.195° W; 350 m.a.s.l.) on May 21, 2022 and June 21, 2022, respectfully. The data collection was completed between September 2021-March 2022. U-Th ages were measured on a ThermoFisher Neptune Plus multi-collector inductively coupled plasma mass spectrometer, and stable/fluid inclusion isotopes were measured on a ThermoFisher Delta V isotope ratio mass spectrometer.
    Keywords: Alaska; Climate change; El Nino Southern Oscillation; Paleoclimate; speleothem
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 45
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    Last Interglacial Marine Isotope Stage 5e data from a stalagmite Gen-A from northern Tasmania, Australia (2022)
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    Publication Date: 2024-06-12
    Description: We present results of Th/U dating, oxygen isotope, saturation magnetization (Ms), coercivity (Bc) data from a speleothem from northern Tasmania, Australia. The depths are relative to the base of the stalagmite. The oxygen isotopic compositions of the stalagmite were analyzed by two laboratories, Beijing Createch Testing Technology Co., Ltd. for the base section and Australian National University for the upper section. The oxygen isotopic values are reported with respect to the Vienna Pee Dee Belemnite (VPDB) standard and the Peedee Belemnite (PDB) standard, respectively. The d18O record spans 129.6 - 108.6 ka BP. The Ms and Bc are derived from hysteresis loop, which were only conducted for the interval of MIS5e.
    Keywords: d18O; MIS-5e; saturation magnetization; Southern Hemisphere Westerly Winds; speleothem
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    Format: application/zip, 2 datasets
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  • 46
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    Physical oceanography during RV SONNE cruise SO263 (2022)
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    Publication Date: 2024-06-12
    Description: This expedition was conducted in the North Eastern Lau Basin, Southwest Pacific. The program aimed at improving our understanding of the igneous, hydrothermal, and tectonic processes that occur during island arc and back-arc formation. Cruise SO263 operated in June 2018. Raw data of physical oceanography was obtained during research cruise SO263 on RV SONNE. Data of vertical CTD casts was binned to 1 meter intervals and is reported with shortend header. Data of tow-yo CTD casts was binned to 1 second intervals and is reported with shortend header.
    Keywords: CTD casts; CTD profiles
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    Format: application/zip, 2 datasets
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  • 47
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    Counts of settled Ostrea edulis larvae on various substrates within three different experimental set-ups (2022)
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    Publication Date: 2024-06-12
    Description: The dataset compiles counts of larvae of the European flat oyster Ostrea edulis, settled on various substrates under three different experimental conditions. The data was collected within the AWI-RESTORE project (Alfred-Wegener-Institute, Germany), examining basic preconditions for successful restoration of the European flat oyster within the German Bight. The data is separated in three experimental setups: the columns for experiment 1 (hatchery/laboratory) include date stamp in ISO format, Latitude, Longitude, abiotic factors (Flow rate, temperature, salinity, pH, dissolved oxygen), substrate types, area and orientation as well as the count of settled larvae for each set-up. Data for experiment 2 (hatchery) include date stamp in ISO format, Latitude, Longitude, abiotic factors (Flow rate, temperature, salinity, pH), reef number, specifics of examined area and orientation as well as the count of settled larvae for each reef. Columns for experiment 3 (field) include date stamp in ISO format, Latitude, Longitude, abiotic factors (depth, temperature, salinity), chlorophyll concentration, substrate types, specifics and orientation as well as the count of settled larvae for each submerged substrate.
    Keywords: bivalves; European flat oyster; Hatchery; marine; Restoration of the European oyster (Ostrea edulis) in the German North Sea: Development and practical testing of methods and approaches for a sustainable population recovery; RESTORE; Settlement
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    Format: application/zip, 3 datasets
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  • 48
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    Elemental composition and radiogenic isotopes of North African soils to characterize Saharan and Sahelian dust sources (2022)
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    Details
    Publication Date: 2024-06-12
    Description: Fifty-nine bulk soil samples were from a collection known as the “Mainz Sandbank”, comprising samples from across the Sahara-Sahel region collected on multiple field trips since 1970. Elemental and radiogenic isotope analyses were performed on the fine silt-clay fraction of the soil (〈 20 µm). Major and trace element composition were obtained using an Agilent 7900 quadrupole ICP-MS instrument with 2.5% HNO3 as eluent. International reference materials (basalts BHVO-2 and BCR-2) were analyzed during each measurement session, and the data agree within ±10% of the recommended reference concentrations (Jochum et al., 2016). Strontium, Nd, and Pb isotope compositions were measured by thermal ionization mass spectrometry (TIMS Triton, ThermoFisher). Accuracy and reproducibility were determined with replicate measurements of SRM 987 and La Jolla standards, respectively. The Pb isotope data were corrected offline for instrumental mass bias using a double (207Pb-204Pb) or triple (204Pb-206Pb-207Pb) spike technique. Accuracy and reproducibility were determined using multiple analyses of the NIST SRM-981 standard. In addition, four soil samples with distinct bedrock ages and soil types were selected from Mali and Morocco to test the effect of grain size and of selective HBr leaching (to remove anthropogenic Pb) on radiogenic isotope signatures. HBr leaching experiments were also performed on aerosols collected along the sahelian Harmattan road. Finally, and in addition to this new dataset, a summary of available radiogenic isotope signatures (Sr-Nd-Pb) from North African soils in the literature is provided for future studies. This dataset is a support of the article Characterization of Saharan and Sahelian dust sources based on geochemical and radiogenic isotope signatures published by Guinoiseau et al., 2022 (doi:10.1016/j.quascirev.2022.107729).
    Keywords: Atlantic dust transport; isotope fingerprinting; mineral dust provenance; North African soils; rare-earth element pattern; Sr-Nd-Pb radiogenic isotopes
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 49
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    Temperature and heating induced temperature difference measurements from SIMBA-type sea ice mass balance buoy DS2016, deployed on landfast ice in Prydz Bay, East Antarctica (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA DS2016 is an autonomous instrument that was installed on landfast ice in Prydz Bay, East Antarctica, in May 2016. The buoy was deployed at 68.57°S; 77.95°E, ~1 km northwest off Australian Station Davis Coast with initial thicknesses of snow and ice of 0.06 and 0.80 m, respectively, on 23 May 2016. The thermistor chain was 5 m long and included 240 sensors with a regular spacing of 2cm. The resulting time series describes the evolution of temperature and temperature differences after two heating cycles of 30 and 120 s as a function of depth and time between 23 May and 27 October 2016 in sample intervals of 6 hours for temperature and 24 hours for temperature differences.
    Keywords: DS2016; DS2016_SIMBA; East Antarctica; Landfast ice; SAMS Ice Mass Balance buoy; Sea ice mass balance; SIMBA; Temperature
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 50
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    Temperature and heating induced temperature difference measurements from SIMBA-type sea ice mass balance buoy ZS2015, deployed on landfast ice in Prydz Bay, East Antarctica (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA ZS2015 is an autonomous instrument that was installed on landfast ice in Prydz Bay, East Antarctica, in August 2015. The buoy was deployed at 69.37°S; 76.36°E, ~100 m from the coast of Station Zhongshan with initial thicknesses of snow and ice of 0.18 and 1.16 m, respectively, on 11 August 2015. The thermistor chain was 5 m long and included 240 sensors with a regular spacing of 2cm. The resulting time series describes the evolution of temperature and temperature differences after two heating cycles of 30 and 120 s as a function of depth and time between 11 August and 6 December 2015 in sample intervals of 6 hours for temperature and 24 hours for temperature differences.
    Keywords: East Antarctica; Landfast ice; SAMS Ice Mass Balance buoy; Sea ice mass balance; SIMBA; Temperature; ZS2015; ZS2015_SIMBA
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 51
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    Planktonic Mg/Ca-derived and transient simulated IPWP upper ocean temperature, heat content and sea water δ18O over the last 360 ka (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: This dataset contains planktonic foraminifera Mg/Ca-derived temperature estimates, age control points and δ18O of 5 sediment cores ODP807 (156.625ºE, 3.61ºN, 2804 m water depth), KX21-2 (157.98ºE, 1.417ºS, 1897 m water depth), MD10-3340 (128.725ºE, 0.517ºS, 1094 m water depth), SO18480-3 (121.65ºE, 12.058ºS, 2299 m water depth) and MD98-2162 (117.9ºE, 4.69ºS, 1855 m water depth) from the Indo-Pacific Warm Pool (IPWP) over the last 360 ka. Also included are planktonic foraminifera-based IPWP stacks of SST, TWT, upper OHC above 200 m and sea water δ18O (δ18Osw), reconstructed from these five cores and five previously published records in the IPWP (GeoB17426-3: 150.86ºE, 2.188ºS, 1367 m water depth; MD01-2386: 129.793ºE, 1.13ºN, 2816 m water depth; MD06-3067: 126.5ºE, 6.514ºN, 1575 m water depth; SO18460: 129.237ºE, 9.089ºS, 1421 m water depth; MD01-2378: 121.788ºE, 13.083ºS, 1783 m water depth). To reveal the modulation of IPWP OHC on ocean-continent hydrological cyle, we also attached numerical simulated upper OHC (above 200m), δ18Osw (sea water) and δ18Op (atmospheric rainfall) from a 300kyr's transient simulation of the NASA GISS-ModelE2-R model (totally 3000 model years with a acceleration factor of 100). The annual mean OHC and δ18Osw are regional averaged over 15ºS-15ºN, 110ºE-160ºW, and over 5ºS-15ºN, 140ºE-170ºE, respectively. The annual and summer (July-August-September) mean δ18Op are averaged over East Asia (15ºN-40ºN, 85ºE-125ºW). Another upper OHC data (above 20℃ isotherm depth) is also provided by a simulation of the NCAR CESM model under the 300kyr's transient forcing of orbital parameters and greenHouse gases.
    Keywords: foraminifera oxygen isotopes; Indo-Pacific Warm Pool (IPWP); isotope-enabled transient simulation; Late Quaternary; ocean heat content; upper ocean temperatures
    Type: Dataset
    Format: application/zip, 20 datasets
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  • 52
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    Temperature and heating induced temperature difference measurements from SIMBA-type sea ice mass balance buoy DS2014, deployed on landfast ice in Prydz Bay, East Antarctica (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA DS2014 is an autonomous instrument that was installed on landfast ice in Prydz Bay, East Antarctica, in May 2014. The buoy was deployed at 68.57°S; 77.93°E, ~1.5 km northwest of Australian Station Davis with initial thicknesses of snow and ice of 0.06 and 0.58 m, respectively, on 29 May 2014. The thermistor chain was 5 m long and included 240 sensors with a regular spacing of 2cm. The resulting time series describes the evolution of temperature and temperature differences after two heating cycles of 30 and 120 s as a function of depth and time between 29 May and 4 November 2014 in sample intervals of 2~6 hours for temperature and 24 hours for temperature differences.
    Keywords: DS2014; DS2014_SIMBA; East Antarctica; Landfast ice; SAMS Ice Mass Balance buoy; Sea ice mass balance; SIMBA; Temperature
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 53
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    Temperature and heating induced temperature difference measurements from SIMBA-type sea ice mass balance buoy ZS2013a, deployed on landfast ice in Prydz Bay, East Antarctica (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA ZS2013a is an autonomous instrument that was installed on landfast ice in Prydz Bay, East Antarctica, in May 2013. The buoy was deployed at 69.37°S; 76.36°E, ~100 m from the coast of Chinese Station Zhongshan with initial thicknesses of snow and ice of 0.02 and 0.69 m, respectively, on 15 May 2013. The thermistor chain was 4.5 m long and included 108 sensors with a regular spacing of 4cm. The resulting time series describes the evolution of temperature and temperature differences after two heating cycles of 30 and 120 s as a function of depth and time between 15 May and 27 November 2013 in sample intervals of 6 hours for temperature and 24 hours for temperature differences.
    Keywords: East Antarctica; Landfast ice; SAMS Ice Mass Balance buoy; Sea ice mass balance; SIMBA; Temperature; ZS2013a; ZS2013a_SIMBA
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 54
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    Temperature and heating induced temperature difference measurements from SIMBA-type sea ice mass balance buoy DS2018b, deployed on landfast ice in Prydz Bay, East Antarctica (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA DS2018b is an autonomous instrument that was installed on landfast ice in Prydz Bay, East Antarctica, in May 2018. The buoy was deployed at 68.57°S; 77.93°E, ~1.5 km northwest of Australian Station Davis with initial thicknesses of snow and ice of 0.01 and 0.84 m, respectively, on 22 May 2018. The thermistor chain was 5 m long and included 240 sensors with a regular spacing of 2cm. The resulting time series describes the evolution of temperature and temperature differences after two heating cycles of 30 and 120 s as a function of depth and time between 22 May and 14 November 2018 in sample intervals of 6 hours for temperature and 24 hours for temperature differences.
    Keywords: DS2018b; DS2018b_SIMBA; East Antarctica; Landfast ice; SAMS Ice Mass Balance buoy; Sea ice mass balance; SIMBA; Temperature
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 55
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    Ice thickness data Weißseespitze/Austria (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Ice thickness data were recorded at Weißseespitze (3500 m) in the Ötztal Alps/Austria during the FWF project Cold Ice, P 29256-N36. The ice thickness was measured with ground penetrating radar (GPR) on 8 June 2017 with a GSSI 3102A Antenna (central frequency of 500 MHz). The interval was four scans per second and 1024 samples per scan, the location of the antenna was recorded with a Tocpon Hiper V DGPS. The DGPS raw data was corrected and adjusted in post-processing with the four closest STPOS (South Tyrolean Reference Station Service) base stations at Mals-Malles, Meran-Merano, Bozen-Bolzano and Sterzing-Vipiteno, with a vertical and horizontal accuracy of +-0.5 m. Synchronization of GPR and DGPS data was done via the GPS time, taking into account the current 18 leap seconds to the GSSI recorded UTC time. The GPR data were analysed using ReflexW software and a time to depth conversion with a mean signal velocity of 0.168 m/ns. The ice thickness (ed_2018_WSS.tif) was interpolated with Topo to Raster for the summit region and is provided together with the bedrock topography (as Geotiff) as gridded data at a resolution of 1x1m (Coordinate system: MGI Austria GK West, EPSG: 31254)
    Keywords: Alps; Glaciers_austria; GPR; Ice core; ice thickness distribution; Weißseespitze; Weißseespitze, Ötztaler Alpen, Austria; WSS
    Type: Dataset
    Format: application/zip, 175.8 kBytes
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  • 56
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    Microstructure profiler raw data (MSS091) during legs 4 and 5 of the MOSAiC expedition in 2020 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: During the MOSAiC drift, vertical profiles of turbulence and auxiliary parameters were measured with MSS microstructure profilers manufactured by Sea and Sun Technology, Germany. Here, the raw binary data from one of in total three different probes deployed during the drift is archived, in the instrument-specific .MRD data format. Every profile is stored in one individual binary file.
    Keywords: Arctic Ocean; Binary Object; DATE/TIME; Event label; LATITUDE; LONGITUDE; Microstructure Profiler; MOSAiC; MOSAiC20192020; MSSP; Multidisciplinary drifting Observatory for the Study of Arctic Climate; PEANUTS; Polarstern; Primary productivity driven by escalating Arctic nutrient fluxes?; PS122/4; PS122/4_44-244; PS122/4_44-245; PS122/4_45-142; PS122/4_45-143; PS122/4_45-144; PS122/4_45-145; PS122/4_45-146; PS122/4_45-147; PS122/4_45-157; PS122/4_46-57; PS122/4_46-58; PS122/4_46-59; PS122/4_46-98; PS122/4_46-99; PS122/4_47-130; PS122/4_47-131; PS122/4_47-132; PS122/4_47-133; PS122/4_47-134; PS122/4_47-38; PS122/4_47-39; PS122/4_48-214; PS122/4_48-215; PS122/4_48-3; PS122/4_48-97; PS122/4_48-98; PS122/4_49-85; PS122/4_49-86; PS122/4_49-91; PS122/4_49-92; PS122/5; PS122/5_59-201; PS122/5_59-282; PS122/5_59-299; PS122/5_59-383; PS122/5_59-384; PS122/5_60-246; PS122/5_60-247; PS122/5_60-248; PS122/5_60-40; PS122/5_60-41; PS122/5_60-87; PS122/5_60-88; PS122/5_61-112; PS122/5_61-113; PS122/5_61-182; PS122/5_61-183; PS122/5_61-247; PS122/5_61-248; PS122/5_62-159; PS122/5_62-160; PS122/5_62-161; PS122/5_63-36
    Type: Dataset
    Format: text/tab-separated-values, 579 data points
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  • 57
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    Surface elevation change rates of most glaciers on Franz Josef Land, Severnaya Zemlya and Novaya Zemlya between 2010 and 2017 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Glaciers in the Russian High Arctic have been subject to large environmental changes due to global warming. Here we provide surface elevation change rates of most glaciers on Franz Josef Land, Severnaya Zemlya and Novaya Zemlya between 2010 and 2017. The dataset includes glacier elevation change maps of glaciers of the Russian Arctic archipelagos (Franz Josef Land, Severnaya Zemlya & Novaya Zemlya) for the period winter 2010/11 to winter 2016/17. Elevation change rates (unit: m/a) are calculated from differencing interferometric Digital Elevation Models (DEMs) of the TanDEM-X satellite mission. Glacier areas are derived from the Randolph Glacier Inventory V6.0 (09_rgi60_RussianArctic). All elevation change maps are provided as GeoTiffs with a spatial resolution of 30m (EPSG:3995). Additionally, raster files with the observation period in years per cell are included.
    Keywords: AERO; Aerological investigations; FJL; Franz Josef Land; geodetic mass balance; glacier change; glacier elevation change; Novaya_Zemlya; Novaya Zemlya; Russian Arctic; Severnaya_Zemlya; TanDEM-X
    Type: Dataset
    Format: application/zip, 499.1 MBytes
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  • 58
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    Eirik Drift, South Greenland, seismic reflection profile AWI-20090006 (2022)
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    Details
    Publication Date: 2024-06-12
    Description: Processed data (SEGY) of seismic reflection profile AWI-20090006 collected during project Eirik Drift with RV Maria S Merian cruise MSM12/2 in 2009. Unprocessed data collected with 3000 m digital streamer, 4 GI-guns were used as seismic source every 25 m. See cruise report of MSM12/2 and readme file 20090006_segy_migrate_info.txt for further details on acquisition and processing parameters.
    Keywords: AWI_GeoPhy; Eirik Drift; FS Maria S Merian cruise MSM12/2; Maria S. Merian; Marine Geophysics @ AWI; MSM12/2; MSM12/2_644-1; MSM12/2_644-1_AWI-20090006; Seismic reflection data; Seismic reflection profile; SEISREFL; South Atlantic Ocean; time migration
    Type: Dataset
    Format: application/octet-stream, 1.1 GBytes
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  • 59
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    Eirik Drift, South Greenland, seismic reflection profile AWI-20090008 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Processed data (SEGY) of seismic reflection profile AWI-20090008 collected during project Eirik Drift with RV Maria S Merian cruise MSM12/2 in 2009. Unprocessed data collected with 3000 m digital streamer, 4 GI-guns were used as seismic source every 25 m. See cruise report of MSM12/2 and readme file 20090008_segy_migrate_info.txt for further details on acquisition and processing parameters.
    Keywords: AWI_GeoPhy; Eirik Drift; FS Maria S Merian cruise MSM12/2; Maria S. Merian; Marine Geophysics @ AWI; MSM12/2; MSM12/2_648-1; MSM12/2_648-1_AWI-20090008; Seismic reflection data; Seismic reflection profile; SEISREFL; South Atlantic Ocean; time migration
    Type: Dataset
    Format: application/octet-stream, 861.9 MBytes
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  • 60
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    Eirik Drift, South Greenland, seismic reflection profile AWI-20090007 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Processed data (SEGY) of seismic reflection profile AWI-20090007 collected during project Eirik Drift with RV Maria S Merian cruise MSM12/2 in 2009. Unprocessed data collected with 3000 m digital streamer, 4 GI-guns were used as seismic source every 25 m. See cruise report of MSM12/2 and readme file 20090007_segy_migrate_info.txt for further details on acquisition and processing parameters.
    Keywords: AWI_GeoPhy; Eirik Drift; FS Maria S Merian cruise MSM12/2; Maria S. Merian; Marine Geophysics @ AWI; MSM12/2; MSM12/2_648-1; MSM12/2_648-1_AWI-20090007; Seismic reflection data; Seismic reflection profile; SEISREFL; South Atlantic Ocean; time migration
    Type: Dataset
    Format: application/octet-stream, 77.6 MBytes
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  • 61
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    Eirik Drift, South Greenland, seismic reflection profile AWI-20090009 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Processed data (SEGY) of seismic reflection profile AWI-20090009 collected during project Eirik Drift with RV Maria S Merian cruise MSM12/2 in 2009. Unprocessed data collected with 3000 m digital streamer, 4 GI-guns were used as seismic source every 25 m. See cruise report of MSM12/2 and readme file 20090009_segy_migrate_info.txt for further details on acquisition and processing parameters.
    Keywords: AWI_GeoPhy; Eirik Drift; FS Maria S Merian cruise MSM12/2; Maria S. Merian; Marine Geophysics @ AWI; MSM12/2; MSM12/2_648-1; MSM12/2_648-1_AWI-20090009; Seismic reflection data; Seismic reflection profile; SEISREFL; South Atlantic Ocean; time migration
    Type: Dataset
    Format: application/octet-stream, 767.6 MBytes
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  • 62
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    Eirik Drift, South Greenland, seismic reflection profile AWI-20090010 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Processed data (SEGY) of seismic reflection profile AWI-20090010 collected during project Eirik Drift with RV Maria S Merian cruise MSM12/2 in 2009. Unprocessed data collected with 3000 m digital streamer, 4 GI-guns were used as seismic source every 25 m. See cruise report of MSM12/2 and readme file 20090010_segy_migrate_info.txt for further details on acquisition and processing parameters.
    Keywords: AWI_GeoPhy; Eirik Drift; FS Maria S Merian cruise MSM12/2; Maria S. Merian; Marine Geophysics @ AWI; MSM12/2; MSM12/2_652-1; MSM12/2_652-1_AWI-20090010; Seismic reflection data; Seismic reflection profile; SEISREFL; South Atlantic Ocean; time migration
    Type: Dataset
    Format: application/octet-stream, 331.9 MBytes
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  • 63
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    Eirik Drift, South Greenland, seismic reflection profile AWI-20090011 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Processed data (SEGY) of seismic reflection profile AWI-20090011 collected during project Eirik Drift with RV Maria S Merian cruise MSM12/2 in 2009. Unprocessed data collected with 3000 m digital streamer, 4 GI-guns were used as seismic source every 25 m. See cruise report of MSM12/2 and readme file 20090011_segy_migrate_info.txt for further details on acquisition and processing parameters.
    Keywords: AWI_GeoPhy; Eirik Drift; FS Maria S Merian cruise MSM12/2; Maria S. Merian; Marine Geophysics @ AWI; MSM12/2; MSM12/2_652-1; MSM12/2_652-1_AWI-20090011; Seismic reflection data; Seismic reflection profile; SEISREFL; South Atlantic Ocean; time migration
    Type: Dataset
    Format: application/octet-stream, 843.8 MBytes
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  • 64
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    Eirik Drift, South Greenland, seismic reflection profile AWI-20090012 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Processed data (SEGY) of seismic reflection profile AWI-20090012 collected during project Eirik Drift with RV Maria S Merian cruise MSM12/2 in 2009. Unprocessed data collected with 3000 m digital streamer, 4 GI-guns were used as seismic source every 25 m. See cruise report of MSM12/2 and readme file 20090012_segy_migrate_info.txt for further details on acquisition and processing parameters.
    Keywords: AWI_GeoPhy; Eirik Drift; FS Maria S Merian cruise MSM12/2; Maria S. Merian; Marine Geophysics @ AWI; MSM12/2; MSM12/2_652-1; MSM12/2_652-1_AWI-20090012; Seismic reflection data; Seismic reflection profile; SEISREFL; South Atlantic Ocean; time migration
    Type: Dataset
    Format: application/octet-stream, 229.9 MBytes
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  • 65
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    CTD profiles from oceanographic expedition IAOOS with RV JAN MAYEN in the Fram Strait in 2008 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Seawater temperature and pressure profiles from stations 1 to 8 from expedition IAOOS (2008) in the Fram Strait. CTD data during the IAOOS cruise were collected using a standard SeaBird 911 Plus conductivity-temperature-depth (CTD) profiler on the R/V Jan Mayen. These profiles were used to characterise the physical structure of the water column in the Fram Strait.
    Keywords: ArcTrain; CAGE; Centre for Arctic Gas Hydrate, Environment and Climate; CTD, Sea-Bird, SBE 911plus; CTD profiles; DATE/TIME; DEPTH, water; Event label; Fram Strait; IAOOS; IAOOS/1; IAOOS/2; IAOOS/3; IAOOS/4; IAOOS/5; IAOOS/6; IAOOS/7; IAOOS/8; Jan Mayen; JM2008; LATITUDE; LONGITUDE; North Greenland Sea; Pressure, water; Processes and impacts of climate change in the North Atlantic Ocean and the Canadian Arctic; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 35962 data points
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  • 66
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    Surface topography and roughness along the Seti Khola (Pokhara Valley, Nepal) measured in-field in 2016 and 2019 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: The Seti Khola (=river) runs along one of the steepest topographic gradients in the Central Himalayas and is the main drainage system of the Pokhara Valley, home to the eponymous city with an estimated population of half a million. In the Pokhara Valley, the Seti Khola runs through a distinct landscape dominated by broad, unpaired, alluvial terraces which abruptly alternate with short (〈1 km) reaches, where the river flows through narrow (〈10 m) and deep (up to 90 m) gorges. In order to facilitate hydrodynamic modelling of one-dimensional, steady flow in HEC-RAS 5.0.7, we surveyed the Seti Khola's channel and overbank topography as well as surface roughness along a 30-km long reach. During two field-visits (October 2016 and October 2019), we surveyed a total of 95 river cross sections utilising a TruPulse 360 laser range finder and a Garmin eTrex handheld GPS. Additionally, during our October 2019 field-season, we also estimated surface roughness or Manning's n of the Seti Khola's channel and left and right overbank at 61 locations –using the determination methodology described by Arcement Jr and Schneider (1984; doi:10.3133/wsp2339) and Chow (1959).
    Keywords: Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); HEC-RAS; hydrodynamic modelling; Manning’s n; NatHazGr; Natural Hazards Group; Nepal; outburst flood; river cross sections; Seti_Gandaki; Surface levelling/surveying
    Type: Dataset
    Format: text/tab-separated-values, 3 data points
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  • 67
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    Seabed images taken at pilot oyster reefs in the Borkum Reef Ground marine protected area during September 2021 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Imagery transects with a camera attached to a frame design for taking pictures in a 50 x 50 cm area. Seabed images transects were carried out by scientific divers during the RESTORE expedition on board the ship Arctic Ocean during September 2021, focusing on the monitoring of two pilot reefs (east and west) and the ecology of benthic assemblages in the Borkum Reef Ground marine protected area. The camera used was a Cannon EOS M6 camera, the pictures were taken perpendicularly to the seabed. The transects were done along a preset track across the reefs, number of pictures per transect varied based on diving time, with a minimum of 10 images per transect. Due to logistic problems, two transects were done for the east reef, and one for the west reef. The seabed images provide insights into the general composition of key species, higher systematic groups and ecological guilds. The images also contain valuable information on how benthic species are associated to each other. Dataset includes individual images, and metadata of each image including diving depth, date/time, and corresponding diver. Detailed geographical coordinates of individual images are unavailable.
    Keywords: Arctic Ocean; Borkum Riffgrund, North Sea; DATE/TIME; DIVER; East_Reef_Dive_1; East_Reef_Dive_2; Ecological monitoring; European oyster; Event label; Image; Investigator; Latitude of event; Longitude of event; North Sea; Oyster reef; Photo-transect; Restoration of the European oyster (Ostrea edulis) in the German North Sea: Development and practical testing of methods and approaches for a sustainable population recovery; RESTORE; RESTORE_202109; Sampling by diver; West_Reef_Dive_1
    Type: Dataset
    Format: text/tab-separated-values, 102 data points
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  • 68
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    Continuous raw particle number concentration data in 10 sec resolution, measured in the Swiss aerosol container during MOSAiC 2019/2020 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: This dataset contains raw particle number concentration data measured during the year long MOSAiC expedition from October 2019 to September 2020. The measurement was performed in the Swiss aerosol container on the D-deck of Research Vessel Polarstern using an inlet with an upper cut-off of 1 µm (called also interstitial inlet). Data were collected by a Condensation Particle Counter (CPC) model 3025 (TSI Inc.) in 10 s resolution with a lower cut-off diameter of 3 nm. More detailed information about its position and the measurement setup can be found in (Beck et al., 2022). Participation of the Swiss Container was co-financed by the Swiss Polar Institute and University of Helsinki.
    Keywords: aerosol; Arctic aerosol; Arctic Ocean; Condensation particle counter; CPC; DATE/TIME; Event label; LATITUDE; LONGITUDE; MOSAiC; MOSAiC_ATMOS; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; North Greenland Sea; Particle number; Polarstern; PS122/1; PS122/1_1-78; PS122/2; PS122/2_14-35; PS122/3; PS122/3_28-30; PS122/4; PS122/4_43-23; PS122/5; PS122/5_58-25
    Type: Dataset
    Format: text/tab-separated-values, 2972986 data points
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  • 69
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    Continuous corrected particle number concentration data in 10 sec resolution, measured in the Swiss aerosol container during MOSAiC 2019/2020 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: This dataset contains corrected particle number concentration data measured during the year long MOSAiC expedition from October 2019 to September 2020. The measurement was performed in the Swiss aerosol container on the D-deck of Research Vessel Polarstern using an inlet with an upper cut-off of 1 µm (called also interstitial inlet). Data were collected by a Condensation Particle Counter (CPC) model 3025 (TSI Inc.) in 10 s resolution with a lower cut-off diameter of 3 nm. More detailed information about its position and the measurement setup can be found in (Beck et al., 2022). The data are cleaned from calibration and zero-check filter periods and the time-stamps of all data points was synchronized to its closest 10 s interval. Some periods of the measurements were corrected for a step in the signal (see file description). Participation of the Swiss Container was co-financed by the Swiss Polar Institute and University of Helsinki.
    Keywords: aerosol; Arctic aerosol; Arctic Ocean; Condensation particle counter; CPC; DATE/TIME; Event label; Flag, correction; LATITUDE; LONGITUDE; MOSAiC; MOSAiC_ATMOS; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; North Greenland Sea; Particle number; Polarstern; PS122/1; PS122/1_1-78; PS122/2; PS122/2_14-35; PS122/3; PS122/3_28-30; PS122/4; PS122/4_43-23; PS122/5; PS122/5_58-25
    Type: Dataset
    Format: text/tab-separated-values, 5910981 data points
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  • 70
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    Mg/Ca ratios measured on planktic foraminifera species and reconstructed Sea Surface Temperature (SST) from IODP Site 353-U1443 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: During the late Miocene, global cooling occurred alongside the establishment of near-modern terrestrial and marine ecosystems. Significant (3 to 5 °C) sea surface cooling from 7.5 to 5.5 Ma is recorded by proxies at mid to high latitudes, yet the magnitude of tropical cooling and the role of atmospheric carbon dioxide (pCO2) in driving this trend are debated. Here, we present a new orbital-resolution sea surface temperature (SST) record spanning the late Miocene to earliest Pliocene (9 to 5 Ma) from the eastern equatorial Indian Ocean (International Ocean Discovery Program Site U1443) based on Mg/Ca ratios measured in tests of the planktic foraminifer Trilobatus trilobus. To test if an atmospheric pCO2 decrease may have driven this cooling, we also present new paleoclimate model simulations under three atmospheric pCO2 scenarios (300 ppm, 420 ppm and 560 ppm; in the range suggested by existing pCO2 proxy records). The data contains Mg/Ca ratios (mmol/mol) measured in tests of a planktic foraminifera species living in the mixed layer (Trilobatus trilobus), together with reconstructed Sea Surface Temperatures. Samples are from the revised shipboard splice from Site U1443 (equatorial Indian Ocean) retrieved during International Ocean Discovery Program Expedition 353. Data span the late Miocene-earliest Pliocene (9 to 5 Ma) with a mean resolution of 5.5 kyr and allow reconstruction of SSTs on secular to orbital timescales. Sea Surface Temperatures are reconstructed with the Dekens et al., (2002) T. sacculifer calibration equation from Pacific Ocean, including a basin-specific dissolution correction. Correction for variation of Mg/Ca ratio of seawater are also calculated following the scenario from Higgins & Schrag (2015) and the approach from Tierney et al. (2019). ±1σ and ±2σ uncertainties linked to analytical, calibration, and age model errors are estimated via a bootstrap Monte Carlo procedure using the Paleo-Seawater Uncertainty Solver (PSU solver, Thirumalai et al., 2016) in Matlab.
    Keywords: 353-U1443A; 353-U1443B; 353-U1443C; Age; AGE; Calculated from Mg/Ca ratios (Dekens et al. 2002); CO2; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; equatorial Indian Ocean; Event label; Exp353; Foraminifera, planktic, Magnesium/Calcium ratio; Joides Resolution; Late Miocene; Paleo-Seawater Uncertainty Solver (PSU solver); Sample code/label; Sea surface temperature; Sea Surface Temperatures
    Type: Dataset
    Format: text/tab-separated-values, 9555 data points
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  • 71
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    Contrasting vertical distributions of recent planktic foraminifera off Indonesia during the southeast monsoon: implications for paleoceanographic reconstructions (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Planktic foraminifera are widely used in palaeoceanographic and paleoclimatic studies. The accuracy of such reconstructions depends on our understanding of the organisms' ecology. Here we report on field observations of planktic foraminiferal abundances (〉150 µm) from 5 depth intervals between 0-500 m water depth at 37 sites in the eastern tropical Indian Ocean. The total planktic foraminiferal assemblage comprises 28 morphospecies; with 11 morphospecies accounting for ~90% of the total assemblage. Both species composition and dominance in the net samples are broadly consistent with the published data from the corresponding surface sediments. The abundance and vertical distribution of planktic foraminifera are low offshore west Sumatra, and increase towards offshore south Java and the Lesser Sunda Islands (LSI). Average living depth of Trilobatus trilobus, Globigerinoides ruber, and Globigerina bulloides increases eastward, while that of Neogloboquadrina dutertrei, Pulleniatina obliquiloculata, and Globorotalia menardii remains constant. We interpret the overall zonal and vertical distribution patterns in planktic foraminiferal abundances as a response to the contrasting upper water column conditions during the southeast monsoon, i.e., oligotrophic and stratified offshore Sumatra (non-upwelling) vs. eutrophic and well-mixed offshore Java-LSI (upwelling). Overall, the inferred habitat depths of selected planktic foraminifera species show a good agreement with those from sediment trap samples and from surface sedimentss off Sumatra, but not with those from surface sediments off Java-LSI. The discrepancy might stem from the different temporal coverage of these sample types. Our findings highlight the need to consider how foraminiferal assemblages and ecology vary on shorter timescales, i.e., from “snapshots” of the water column captured by plankton net to seasonal and interannual variability as recorded in sediment traps and how these changes are transferred and preserved in deep-sea sediments.
    Keywords: Calculated; Center for Marine Environmental Sciences; Counting, foraminifera, planktic; DATE/TIME; Depth, bottom/max; Depth, top/min; DEPTH, water; ELEVATION; Event label; Foraminifera, planktic, total; GeoB; GeoB10007-2; GeoB10011-1; GeoB10018-1; GeoB10019-1; GeoB10020-1; GeoB10022-1; GeoB10023-1; GeoB10024-1; GeoB10025-1; GeoB10026-1; GeoB10027-1; GeoB10028-1; GeoB10034-1; GeoB10036-1; GeoB10038-1; GeoB10039-1; GeoB10040-1; GeoB10041-1; GeoB10044-1; GeoB10045-1; GeoB10046-1; GeoB10048-1; GeoB10049-1; GeoB10051-1; GeoB10052-1; GeoB10053-1; GeoB10055-1; GeoB10057-1; GeoB10061-1; GeoB10062-1; GeoB10063-1; GeoB10064-1; GeoB10065-1; GeoB10066-1; GeoB10067-1; GeoB10070-1; Geosciences, University of Bremen; Globigerina bulloides; Globigerina digitata; Globigerina falconensis; Globigerina rubescens; Globigerinella adamsi; Globigerinella calida; Globigerinella digitata; Globigerinella siphonifera; Globigerinita glutinata; Globigerinita uvula; Globigerinoides conglobatus; Globigerinoides elongatus; Globigerinoides ruber white; Globigerinoides tenellus; Globorotalia hirsuta; Globorotalia inflata; Globorotalia menardii; Globorotalia scitula; Globorotalia truncatulinoides; Globorotalia tumida; Globorotaloides hexagonus; Globoturborotalita rubescens; Globoturborotalita tenella; habitat depth; Indonesia; Latitude of event; Longitude of event; MARUM; MSN; Multiple opening/closing net; Neogloboquadrina dutertrei; Neogloboquadrina incompta; Neogloboquadrina pachyderma; Orbulina universa; PABESIA; planktic foraminifera; Pulleniatina obliquiloculata; SO184/1; SO184/2; Sonne; southeast monsoon; Sphaeroidinella dehiscens; Trilobatus sacculifer; Trilobatus trilobus; Turborotalita humilis; Upwelling; vertical distribution; Water volume, filtered
    Type: Dataset
    Format: text/tab-separated-values, 11655 data points
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  • 72
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    East Greenland (66.3 and 68.4°N) glacier front position shape files (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: This data set consists of satellite based study of East Greenland in particular 260 km-long section of coastline between 66.3 and 68.4◦N, used to explore glacier change from 1985 to 2019. Imagery were downloaded from the USGS website EarthExplorer (U.S. Geological Survey USGS, 1995). We sought images with minimal cloud-cover that were gathered in July/August, when we expect surface snow cover to be at a minimum. We sourced imagery from Landsat-5 for the years 1985 and 1995, from Landsat-7 for the year 2005, and from Landsat-8 for the years 2015 and 2019 (all Landsat imagery courtesy of the U.S. Geological Survey). For each year for which we had data, composite images were generated. The data set consist of shape files of fronts of glaciers in 5-year intervals. Data set used in: Unravelling the long-term, locally-heterogenous response of Greenland glaciers observed in archival photography Michael A. Cooper, Paulina Lewińska, William A. P. Smith, Edwin R. Hancock, Julian A. Dowdeswell, and David M. Rippin, 2021
    Keywords: E_Greenland_glacier; East Greenland; E Greenland; glacier front; glaciers; Greenland; LEAPP; satellite data; Unearthing the forgotten record of glacier and ice-sheet change
    Type: Dataset
    Format: application/zip, 59.5 kBytes
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  • 73
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    Climatic simulation from the equatorial Indian Ocean (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: During the late Miocene, global cooling occurred alongside the establishment of near-modern terrestrial and marine ecosystems. Significant (3 to 5 °C) sea surface cooling from 7.5 to 5.5 Ma is recorded by proxies at mid to high latitudes, yet the magnitude of tropical cooling and the role of atmospheric carbon dioxide (pCO2) in driving this trend are debated. Here, we present a new orbital-resolution sea surface temperature (SST) record spanning the late Miocene to earliest Pliocene (9 to 5 Ma) from the eastern equatorial Indian Ocean (International Ocean Discovery Program Site U1443) based on Mg/Ca ratios measured in tests of the planktic foraminifer Trilobatus trilobus. To test if an atmospheric pCO2 decrease may have driven this cooling, we also present new paleoclimate model simulations under three atmospheric pCO2 scenarios (300 ppm, 420 ppm and 560 ppm; in the range suggested by existing pCO2 proxy records). The climatic simulation presents the effect of late Miocene pCO2 on Sea surfaces Temperatures. This dataset contains sea surface temperature outputs from modeling experiments with variable CO2 levels and a late Miocene paleogeography (Sarr et al., in review). The simulations have been run using the IPSL-CM5A2 General Circulation Model (Sepulchre et al. 2020 - GMD). It includes 3 simulations at 300, 420 and 560 ppm respectively. Data are monthly averages over the last 100 years of the simulations. Files have curvilinear coordinates (nav_lon, nav_lat).
    Keywords: Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); CO2; equatorial Indian Ocean; Late Miocene; Sea Surface Temperatures
    Type: Dataset
    Format: text/tab-separated-values, 4 data points
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  • 74
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    Data Set for the 2019-2020 summer campaign: Summer variability of the atmospheric NO2:NO ratio at Dome C, on the East Antarctic Plateau (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Atmospheric abundances of Nitrogen dioxide (NO2), Nitrogen oxide (NOx), Nitric oxide (NO) and Ozone (O3) have been measured at Antarctic station Dome C (-75.10 lat., 123.33 long., 3233 m a.s.l). They have been retrieved from direct and in-situ atmospheric measurements using newly developed optical instruments based on absorption spectroscopy (incoherent broadband cavity enhanced absorption spectroscopy or IBBCEAS). These instruments directly measure NO2 with a detection limit of 30 pptv (parts per trillion by volume or 1E-12 mol/mol) (3σ). We performed two sets of measurements in December 2019 (4th to 9th) and January 2020 (16th to 25th) to capture the early and late photolytic season, respectively. The dataset also contains photolysis rate coefficients of Nitrogen dioxide and Ozone, and the Ozone production rate.
    Keywords: Antarctica; Atmospheric chemistry; Calculated; DATE/TIME; Date/Time local; Dome C; DomeC_ratio_NO2_NO; East Antarctic plateau; IBBCEAS; Incoherent Broadband Cavity Enhanced Absorption Spectroscopy; MULT; Multiple investigations; Nitric oxide; Nitrogen dioxide; Nitrogen dioxide/Nitric oxide, ratio; Nitrogen dioxide photolysis rate coefficient; Nitrogen oxide; NO2:NO ratio; Ozone; Ozone, change rate; Ozone photolysis rate coefficient; Ozone production rate; Spectral radiometer; SPRA; UV photometric ozone analyzer (Thermo Scientific, Model 49i)
    Type: Dataset
    Format: text/tab-separated-values, 3198 data points
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  • 75
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    Under-ice current and turbulence raw data (Nortek Signature1000 Acoustic Doppler profilers nortek_101408) at Ice Ridge Observatory during MOSAiC expedition (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Two Nortek Signature1000 acoustic Doppler current profilers (SN 100098 & SN 101048) were deployed as part of the Sea Ice Ridge Observatory (also called Fort Ridge) in the Arctic Ocean during the 2nd leg of the MOSAiC ice drift expedition in February 2020. The ADCPs are autonomous instruments that measured ice-relative horizontal and vertical ocean currents and turbulence in the upper ~20 m of the water column. The instruments were deployed under the ice, pointing downward on either side of a large ice ridge. In addition to currents, temperature, pressure, tilt, and compass direction were measured. Both instruments were eventually lost due to ice rafting, resulting in one time series between January 3rd and May 6th 2020 and one between January 3rd and February 21st, 2020. This dataset contains the rawdata for adcp_101408. Nortek Signature software (Nortek Discover) is needed to read and convert the data (https://www.nortekgroup.com/software). For more information see the Nortek Signature Principles of Operation (https://www.nortekgroup.com/assets/software/N3015-011-SignaturePrinciples.pdf). A processed and temporally averaged version of this dataset together with a data report can be found under doi:10.1594/PANGAEA.941882.
    Keywords: ADCP data; Arctic; Arctic Ocean; BUOY_ADCP; Buoy, acoustic doppler current profiler; currents; HAVOC; Mosaic; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/2; PS122/2_14-307; ridge flank; Ridges - Safe HAVens for ice-associated Flora and Fauna in a Seasonally ice-covered Arctic OCean; Sea ice; Turbulence
    Type: Dataset
    Format: application/x-tar, 7.3 GBytes
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  • 76
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    Evidence of extraordinary marine species in the SW Baltic Sea (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: The presence of an extended salinity gradient of the Baltic Sea reveals a variety of species occur at the limit of their physiological tolerance and preference, i.e. in areas and habitats not representing their marine or fresh water origin. Hence, the Baltic Sea is known for its high share of non-indigenous species, which have established. In this study, we compiled extraordinary sightings of transient, non-native or potentially range expanding species, such as jellyfish, squid, fishes and marine mammals in the SW Baltic Sea for a period from 2001 to 2018. We focused on jellyfish, squid, fishes and marine mammals. Hydrographic conditions, such as water temperature and salinity, obtained from a high spatio-temporally resolved hydrodynamic Baltic Sea model, covering a daily resolved 40-year time series were linked to the sightings of these extraordinary species. Our hydrodynamic modelling results demonstarted that changes in the occurrence of exceptional species reflect the dynamics of water mass exchange between the Kattegat/Skagerrak and the SW Baltic Sea. Our analyses show that these changes could be related to the presence of anomalously high saline water masses. This documents that the hydrographically highly dynamic SW Baltic Sea needs special attention for monitoring of non-indigenous species, as high saline and warm water intrusions are more frequent than currently believed and ii) can be linked to sightings of exceptional species in the SW Baltic Sea.
    Keywords: Binary Object; File content
    Type: Dataset
    Format: text/tab-separated-values, 13 data points
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  • 77
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    Concentration of planktonic foraminifera from plankton tows during cruises ARKXXVI/1, IAOOS, ARK III/3, ARK-XXIX/2.1, HH14 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Density profiles (concentration per cubic metres) of planktonic foraminifera tests collected with stratified plankton tow hauls in the Fram Strait during cruises ARK III/3 (1985), IAOOS (2008), ARKXXVI/1 (2011), HH14 (2014), ARK-XXIX/2.1(2015). These profiles were compiled to assess decadal changes in abundance and vertical distribution of planktonic foraminifera in the Fram Strait.
    Keywords: 1; 2; 3; 4; 5; 6; 7; 8; Arctic Ocean; ArcTrain; ARK-III/3; ARK-XXIX/2.1; ARK-XXVI/1; CAGE; CAGE-CO2,GEO3144; Centre for Arctic Gas Hydrate, Environment and Climate; Comment; Cruise/expedition; DATE/TIME; DEPTH, water; Event label; Foraminifera; foraminifera abundance; Fram Strait; GIK21291-1 PS07/581; GIK21295-1 PS07/586; GIK21297-1 PS07/588; GIK21298-1 PS07/590; GIK21300-1 PS07/592; GIK21308-1 PS07/601; GIK21309-1 PS07/602; GIK21310-1 PS07/603; GIK21311-1 PS07/605; GIK21314-1 PS07/608; Globigerina bulloides; Globigerinita glutinata; Globigerinita uvula; Helmer Hanssen; HH14/00; HH14/00-1; HH2014; IAOOS; Jan Mayen; JM2008; JM2008_1; JM2008_2; JM2008_3; JM2008_4; JM2008_5; JM2008_6; JM2008_7; JM2008_8; LATITUDE; LONGITUDE; Mesh size; MSN; Multiple opening/closing net; Neogloboquadrina incompta; Neogloboquadrina pachyderma; Net opening; North Greenland Sea; Orcadia riedeli; Polarstern; Processes and impacts of climate change in the North Atlantic Ocean and the Canadian Arctic; PS07; PS1291-1; PS1295-1; PS1297-1; PS1298-1; PS1300-1; PS1308-1; PS1309-1; PS1310-1; PS1311-1; PS1314-1; PS78; PS78/019-2; PS78/025-3; PS78/035-2; PS78/039-3; PS78/044-4; PS78/054-3; PS78/071-3; PS78/075-3; PS78/087-3; PS78/127-5; PS93/020-3; PS93/024-2; PS93/030-3; PS93/039-3; PS93/046-2; PS93.1; Reference/source; Sampling; Size fraction, lower threshold; Size fraction, upper threshold; Station label; Turborotalita quinqueloba
    Type: Dataset
    Format: text/tab-separated-values, 3024 data points
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  • 78
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    Under-ice current and turbulence raw data (Nortek Signature1000 Acoustic Doppler profilers nortek_100098) at Ice Ridge Observatory during MOSAiC expedition (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Two Nortek Signature1000 acoustic Doppler current profilers (SN 100098 & SN 101048) were deployed as part of the Sea Ice Ridge Observatory (also called Fort Ridge) in the Arctic Ocean during the 2nd leg of the MOSAiC ice drift expedition in February 2020. The ADCPs are autonomous instruments that measured ice-relative horizontal and vertical ocean currents and turbulence in the upper ~20 m of the water column. The instruments were deployed under the ice, pointing downward on either side of a large ice ridge. In addition to currents, temperature, pressure, tilt, and compass direction were measured. Both instruments were eventually lost due to ice rafting, resulting in one time series between January 3rd and May 6th2020 and one between January 3rd and February 21st, 2020. This dataset contains the rawdata for adcp_100098. Nortek Signature software (Nortek Discover) is needed to read and convert the data (https://www.nortekgroup.com/software). For more information see the Nortek Signature Principles of Operation (https://www.nortekgroup.com/assets/software/N3015-011-SignaturePrinciples.pdf). A processed and temporally averaged version of this dataset together with a data report can be found under doi:10.1594/PANGAEA.941882.
    Keywords: ADCP data; Arctic; Arctic Ocean; BUOY_ADCP; Buoy, acoustic doppler current profiler; CTD data; currents; HAVOC; Mosaic; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/2; PS122/2_14-308; ridge flank; Ridges - Safe HAVens for ice-associated Flora and Fauna in a Seasonally ice-covered Arctic OCean; Sea ice; Turbulence
    Type: Dataset
    Format: application/x-tar, 16.8 GBytes
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  • 79
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    Natural abundance of stable isotopes of macrophytes of NW Spain (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: The values of natural abundance of stable isotopes were measured in 22 species of macrophytes (18 macroalgae and 4 vascular plants) collected from the intertidal domain in NW Spain (NE Atlantic). This dataset contains the values of natural abundance of stable carbon and nitrogen isotopes in bulk samples and of nitrogen isotopes in amino acids.
    Keywords: Alanine, δ15N; amino acids; Aspartamine and Aspartic acid, δ15N; AXU-0713; BEI-0206; BEI-0706; BEI-0713; CAD-0907; coastal ecosystem; COR-0713; CRI-0713; DATE/TIME; DEPTH, water; Event label; Glutamine and Glutamic acid, δ15N; Glycine, δ15N; HAND; Isoleucine, δ15N; LATITUDE; Leucine, δ15N; LONGITUDE; Lysine, δ15N; Macroalgae; Macrophyte, δ13C, tissue; Macrophyte, δ15N, tissue; MER-0206; MER-0313; MER-0802; Methionine, δ15N; MOU-0407; nitrogen isotope ratios; North Atlantic; OIA-0407; Order; PAN-0802; PED-0207; Phenylalanine, δ15N; Proline, δ15N; Sampling by hand; Seagrass; See description in dataset comment; Serine, δ15N; SES-0702; Site; Species; TEM-0713; TER-0810; Threonine, δ15N; Valine, δ15N; vascular plants
    Type: Dataset
    Format: text/tab-separated-values, 740 data points
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  • 80
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    HaNi: A Historical dataset of Anthropogenic Nitrogen Inputs to the terrestrial biosphere (1860-2019) (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Excessive anthropogenic nitrogen (N) inputs to the biosphere have disrupted the global nitrogen cycle. To better quantify the spatial and temporal patterns of anthropogenic N enrichments, assess their impacts on the biogeochemical cycles of the planet and other living organisms, and improve nitrogen use efficiency (NUE) for sustainable development, we develop a comprehensive and synthetic dataset for anthropogenic N inputs to the terrestrial biosphere. This Harmonized Anthropogenic N Inputs (HaNi) dataset takes advantage of different data sources in a spatiotemporally consistent way to generate a set of high-resolution gridded N input products from the preindustrial to present (1860-2019). The HaNi dataset includes annual rates of synthetic N fertilizer, manure application/deposition, and atmospheric N deposition in cropland, pasture, and rangeland at 5-arcmin. Specifically, the N inputs are categorized, according to the N forms and the land use, as 1) NH4-N fertilizer applied to cropland, 2) NO3-N fertilizer applied to cropland, 3) NH4-N fertilizer applied to pasture, 4) NO3-N fertilizer applied to pasture, 5) manure N application on cropland, 6) manure N application on pasture, 7) manure N deposition on pasture, 8) manure N deposition on rangeland, 9) NHx-N deposition, and 10) NOy-N deposition. The total anthropogenic N (TN) inputs to global terrestrial ecosystems increased from 29.05 Tg N yr-1 in the 1860s to 267.23 Tg N yr-1 in the 2010s, with the dominant N source changing from atmospheric N deposition (before the 1900s) to manure N (the 1910s-2000s), and to synthetic fertilizer in the 2010s. The proportion of synthetic NH4-N fertilizer increased from 64% in the 1960s to 90% in the 2010s, while synthetic NO3-N fertilizer decreased from 36% in the 1960s to 10% in the 2010s. Hotspots of TN inputs shifted from Europe and North America to East and South Asia during the 1960s-2010s. Such spatial and temporal dynamics captured by the HaNi dataset are expected to facilitate a comprehensive assessment of the coupled human-earth system and address a variety of social welfare issues, such as climate-biosphere feedback, air pollution, water quality, and biodiversity.
    Keywords: atmospheric deposition; Binary Object; Crop; fertilizer; File content; manure; nitrogen; Nitrogen Model Inter-Comparison Project; NMIP; pastures; rangeland
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
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  • 81
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    Spatial variability in sub-photic zone nitrate δ15N and surface mass balance across East Antarctica (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Geographic information, surface mass balance (SMB) data, and sub-photic zone (〉0.3 m) nitrate concentration and nitrogen isotopic composition (δ15NNO3) for 135 sites across East Antarctica. This database was used to examine and define the relationship between δ15NNO3 and SMB in Antarctica as part of the SCADI (Snow Core Accumulation from Delta-15N Isotopes) and EAIIST (East Antarctic International Ice Sheet Traverse) projects. Of these 135 sites, 92 are newly reported here while the other site data were previously published and are cited accordingly. Snow bearing nitrate was sampled from snow pits and firn/ice cores at different dates depending on the original scientific campaign, but predominately between 2010 and 2020, with the earliest sampling occurring in 2004. Nitrate was later extracted from the snow, concentrated, and analyzed for δ15NNO3. Surface mass balance data comes from a combination of previous ground-based observations (e.g., stakes, ice core data) and the output from Modèle Atmosphérique Régional version 3.6.4 with European Centre for Medium-Range Weather Forecasts “Interim” re-analysis data (ERA-interim) data, adjusted for observed model SMB biases. Elevation data were extracted from the Reference Elevation Model of Antarctica (REMA, https://doi.org/10.5194/tc-13-665-2019).
    Keywords: ABN1314-103 ice core; Ant_ABN-1314; Ant_ABN-DL1; Ant_ABN-DL2; Ant_ABN-P4; Ant_ABN-P5; Ant_AGO5; Ant_asuma.2016.1; Ant_asuma.2016.2; Ant_CHIC-01; Ant_CHIC-04; Ant_CHIC-05; Ant_CHIC-07; Ant_CHIC-10; Ant_CHIC-11; Ant_CHIC-13; Ant_CHIC-15; Ant_CHIC-18; Ant_CHIC-20; Ant_cph.d17; Ant_cph.d24; Ant_cph.d5; Ant_cph1516; Ant_DA2005; Ant_DC04; Ant_DC07-1; Ant_DC07-2; Ant_DC07-3; Ant_dc14; Ant_dc2010pits; Ant_DF1; Ant_DF2; Ant_dml.pit.a; Ant_dml.pit.b; Ant_eaiist.stop01; Ant_eaiist.stop02; Ant_eaiist.stop03; Ant_eaiist.stop04; Ant_eaiist.stop05; Ant_eaiist.stop06; Ant_eaiist.stop07; Ant_eaiist.stop08a; Ant_eaiist.stop08b; Ant_eaiist.stop09; Ant_eaiist.stop10; Ant_eaiist.stop11; Ant_eaiist.stop12; Ant_eaiist.stop13a; Ant_eaiist.stop13b; Ant_eaiist.stop14; Ant_eaiist.stop19; Ant_eaiist.stop20; Ant_eaiist.stop21; Ant_eaiist.stop22; Ant_eaiist.stop23; Ant_eaiist.stop24; Ant_eaiist.stop25; Ant_eaiist.stop26; Ant_Fuji_Pass; Ant_H108; Ant_H128; Ant_H42; Ant_H68; Ant_H88; Ant_IM0; Ant_IV; Ant_MD590; Ant_NDF; Ant_NMD304; Ant_Paleo; Ant_Plateau_S; Ant_posteaiist.asuma01; Ant_posteaiist.asuma02; Ant_posteaiist.asuma03; Ant_posteaiist.asuma04; Ant_posteaiist.asuma05; Ant_posteaiist.asuma06; Ant_posteaiist.asuma07; Ant_posteaiist.asuma08; Ant_posteaiist.asuma09; Ant_posteaiist.asuma10; Ant_posteaiist.asuma11; Ant_posteaiist.samba; Ant_posteaiist.stop27; Ant_posteaiist.stop28; Ant_posteaiist.stop29; Ant_posteaiist.stop30; Ant_posteaiist.stop31; Ant_posteaiist.stop32; Ant_posteaiist.stop33; Ant_posteaiist.stop34; Ant_posteaiist.stop35; Ant_posteaiist.stop36; Ant_posteaiist.stop37; Ant_posteaiist.stop38; Ant_preeaiist.01; Ant_preeaiist.02; Ant_preeaiist.03; Ant_preeaiist.04; Ant_preeaiist.05; Ant_preeaiist.06; Ant_preeaiist.07; Ant_preeaiist.08; Ant_preeaiist.09; Ant_preeaiist.10; Ant_preeaiist.11; Ant_preeaiist.12; Ant_preeaiist.13; Ant_preeaiist.14; Ant_preeaiist.15; Ant_preeaiist.16; Ant_preeaiist.17; Ant_preeaiist.18; Ant_S1; Ant_S2; Ant_S3; Ant_S30-JARE; Ant_S4; Ant_S80core; Ant_S80pit; Ant_V09-1; Ant_V09-2; Ant_VI; Ant_VIII; Ant_X; Ant_XII; Ant_XIV; Ant_XVI; Ant_XVIII; Ant_Z2; Ant_ZtoA-P1; Ant_ZtoA-P2; Ant_ZtoA-P3; Ant_ZtoA-P4; Ant_ZtoA-P5; Ant_ZtoA-P7; Antarctica; Bias-adjusted MAR output; Campaign; Category; Chemical and physical analysis in snow/firn for accumulation studies in Adelie L; CHICTABA; Colorimetry and/or ion chromatography; Comment; East Antarctica; ELEVATION; Event label; Extracted from REMA; GPS in field; IC; Ice core; Ice corer; isotope; LATITUDE; LONGITUDE; MAR output; Mass spectrometer, Finnigan, MAT 253; nitrate; Nitrate; nitrogen isotope ratio (δ15N); Physical measurement and observations; Reference/source; Site; SNOW; Snow/ice sample; Snow pits/firn core/ice core; surface mass balance; Surface mass balance; Transect; Type; δ15N
    Type: Dataset
    Format: text/tab-separated-values, 1904 data points
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  • 82
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    XRF and magnetic susceptibility records from sediments of Suzdalevo Lake (Tunguska region, Russia) – cores SUZ1 and SUZ3 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Here, we present X-ray fluorescence (SM30 magnetic susceptibility meter, ZHinstruments Inc.) and normalized mass magnetic susceptibility (VANTA VMR with a Silicon Drift Detector, Olympus) datasets of two sediment cores (0.42 and 0.46 m long) from a shallow lake (Suzdalevo Lake, 1.8 ha, max. depth of 2.3 m) located near the epicenter of the Tunguska Event explosion in 1908 CE (60°39′29.05″N, 102°3′3.36″E). The datasets include primary data presented in an article (Kavková et al. 2022) that is focused on formation process of the study site (potential impact lake) and Tunguska Event-related environmental disturbance. Both cores were retrieved using a Kajak gravity corer (sampling tube diameter of 5.8 cm and length of 50 cm) in May 2019.
    Keywords: DEPTH, sediment/rock; Event label; impact crater; Iron; Iron, error; Kajak sediment core sampler; KC; lake sediments; Late Holocene; magnetic susceptibility; Magnetic susceptibility; Magnetic susceptibility detector SM30; Manganese; Manganese, error; MSD_SM30; Phosphorus; Phosphorus, error; Rubidium; Rubidium, error; Silicon; Silicon, error; Strontium; Strontium, error; Suzdalevo_Lake_SUZ1; Suzdalevo_Lake_SUZ3; Titanium; Titanium, error; Tunguska cosmic body; X-ray fluorescence; X-ray fluorescence (XRF); Zirconium; Zirconium, error
    Type: Dataset
    Format: text/tab-separated-values, 1497 data points
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  • 83
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    GEM-2 quicklook total thickness measurements from the 2019-2020 MOSAiC expedition (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: The total snow and ice thickness (distance from the snow surface to the ice-ocean interface) was measured by the electromagnetic induction (EM) method. On MOSAiC transects, we used a broad-band EM instrument sensor (GEM-2 by Geophex Ltd) towed on a small sled (Hunkeler et al, 2015; Hunkeler et al, 2016). The instrument includes a real-time data processing unit including a GPS receiver which communicates with a pocket PC that is operates the sensor and records the EM and GPS data streams. The GEM-2 is a broadband sensor that can transmit multiple configurable frequencies in the kHz range simultaneously. The sensor setup during MOSAiC used 5 frequencies with an approximately logarithmic spacing throughout the frequency range of the sensor (1.525 kHz, 5.325 kHz, 18.325 kHz, 63.025 kHz, and 93.075 kHz). The transect measurements are based on an empirical approach based on a sensor calibration, where the GEM-2 was placed at known heights above the sea ice surface using a wooden ladder on top of level ice with a known thickness determined by 5 drill holes. An exponential function was then fitted to the frequency components as function of distance of the sensor to the ice/ocean interface and then applied to the transect data. The closest-in-time calibration result was used when a GEM-2 survey could not be accompanied with a calibration. The total thickness retrieval with the GEM-2 calibration and survey data was done on-board shortly after each profile. The dataset is therefore labeled as GEM-2 quickview data but has been subject to manual quality control. Using a direct relationship between total thickness and frequency component implies the assumption that the sea ice conductivity is negligible and the ice/water interface constant within the GEM-2 footprint. While this is a reasonable assumption for level ice, the peak thicknesses of ridges are known to be underestimated by as much as 50 % (Pfaffing et al, 2007) and will be subject of further processing. To estimate the snow depth and then subtract its thickness from the total thickness we rely on direct measurements of snow depth with Magnaprobe. The co-inciding snow depth measurements on MOSAiC transect can be found here: https://doi.pangaea.de/10.1594/PANGAEA.937781 Not every GEM-2 transect has complimentary snow depth measurements. An overview of all transect measurements at MOSAiC is given in the attached table. For more details we refer to the MOSAiC transect paper by Itkin et al, 2022: Sea ice and snow mass balance from transects in the MOSAiC Central Observatory, in review at Elementa – Science of Anthropocene.
    Keywords: Arctic; Arctic Ocean; Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic; ARICE; BES; Broadband electromagnetic sensor; electromagnetic induction; GEM-2; ice; magnaprobe; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; ocean; Polarstern; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; PS122/1; PS122/1_10-51; PS122/1_10-55; PS122/1_4-2; PS122/1_4-3; PS122/1_5-25; PS122/1_5-26; PS122/1_6-48; PS122/1_6-49; PS122/1_7-60; PS122/1_7-61; PS122/1_8-55; PS122/1_8-56; PS122/1_8-57; PS122/1_9-51; PS122/1_9-52; PS122/2; PS122/2_16-48; PS122/2_16-50; PS122/2_16-77; PS122/2_16-82; PS122/2_17-111; PS122/2_17-112; PS122/2_18-78; PS122/2_18-79; PS122/2_19-102; PS122/2_19-104; PS122/2_19-105; PS122/2_19-108; PS122/2_19-109; PS122/2_19-111; PS122/2_19-112; PS122/2_19-136; PS122/2_19-138; PS122/2_19-95; PS122/2_19-96; PS122/2_20-41; PS122/2_20-42; PS122/2_20-94; PS122/2_20-96; PS122/2_20-97; PS122/2_21-137; PS122/2_21-138; PS122/2_21-139; PS122/2_21-97; PS122/2_22-90; PS122/2_22-91; PS122/2_22-93; PS122/2_23-60; PS122/2_23-61; PS122/2_23-89; PS122/2_24-68; PS122/2_25-117; PS122/2_25-118; PS122/2_25-120; PS122/2_25-121; PS122/2_25-123; PS122/3; PS122/3_29-66; PS122/3_29-68; PS122/3_29-69; PS122/3_29-71; PS122/3_29-72; PS122/3_30-54; PS122/3_30-71; PS122/3_30-72; PS122/3_30-74; PS122/3_32-94; PS122/3_33-86; PS122/3_33-87; PS122/3_33-88; PS122/3_34-14; PS122/3_34-85; PS122/3_34-86; PS122/3_34-87; PS122/3_35-115; PS122/3_35-116; PS122/3_35-117; PS122/3_35-18; PS122/3_35-19; PS122/3_36-146; PS122/3_36-150; PS122/3_36-151; PS122/3_37-135; PS122/3_37-78; PS122/3_37-79; PS122/3_37-80; PS122/3_37-81; PS122/3_38-76; PS122/3_38-77; PS122/3_38-78; PS122/3_38-79; PS122/3_39-126; PS122/3_39-127; PS122/3_39-129; PS122/3_39-130; PS122/4; PS122/4_44-217; PS122/4_44-219; PS122/4_44-223; PS122/4_44-224; PS122/4_44-225; PS122/4_44-49; PS122/4_45-158; PS122/4_45-159; PS122/4_45-160; PS122/4_45-161; PS122/4_45-162; PS122/4_45-92; PS122/4_45-93; PS122/4_46-68; PS122/4_46-69; PS122/4_46-73; PS122/4_46-75; PS122/4_46-81; PS122/4_46-82; PS122/4_47-10; PS122/4_47-139; PS122/4_47-140; PS122/4_47-27; PS122/4_47-28; PS122/4_47-29; PS122/4_47-6; PS122/4_47-74; PS122/4_47-75; PS122/4_47-89; PS122/4_48-171; PS122/4_48-174; PS122/4_48-175; PS122/4_48-176; PS122/4_48-178; PS122/4_48-180; PS122/4_48-37; PS122/4_48-38; PS122/4_48-39; PS122/4_48-59; PS122/4_48-61; PS122/4_48-7; PS122/4_49-37; PS122/4_49-38; PS122/4_49-40; PS122/5; PS122/5_59-194; PS122/5_59-273; PS122/5_59-276; PS122/5_59-316; PS122/5_59-427; PS122/5_59-428; PS122/5_60-162; PS122/5_60-222; PS122/5_60-225; PS122/5_60-226; PS122/5_60-52; PS122/5_61-258; PS122/5_61-260; PS122/5_61-290; PS122/5_61-292; PS122/5_62-190; PS122/5_62-191; PS122/5_62-192; PS122/5_62-193; PS122/5_62-194; PS122/5_62-198; PS122/5_62-199; PS122/5_63-257; PS122/5_63-258; PS122/5_63-33; PS122/5_63-34; PS122/5_63-68; PS122/5_63-69; Sea ice mass balance; Sea ice thickness; snow depth; SPP1158; transect
    Type: Dataset
    Format: application/zip, 415.3 MBytes
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  • 84
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    Unknown
    Grain size distribution for sediment samples of HEINCKE cruise HE422 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: NOAH aims to establish a comprehensive (geo-referenced) inventory of seabed properties in the German Bight by Studying temporal and spatial variability in physical, sedimentological, chemical and biological influence on seabed properties using high-resolution model results and targeted surveys of new data in representative sediment provinces. In order to assess sedimentological, biochemical as well as anthropogenic pressures water and sediment samples were taken at different NOAH regions in the German Bight between 02.05.2014 and 15.05.2014. The surface sediment samples were taken by a box grab and analyzed for their grain size distribution by laser diffraction.
    Keywords: BG; Boomerang-Grab; DATE/TIME; DEPTH, sediment/rock; ELEVATION; Event label; F10, NOAH_H_5; F15, NOAH_I_5; F20, NOAH_G_5; F25, NOAH_E_5; F26; F35, NOAH_B_5; F39; F45, NOAH_C_5; F5, NOAH_F_5; GB; Gerard bottle; GOFLO; Go-Flo bottles; Grab; GRAB; Grain size, LASER Particle Sizer; HE422; HE422/003-2; HE422/004-2; HE422/005-2; HE422/006-2; HE422/008-3; HE422/017-1; HE422/018-5; HE422/020-2; HE422/021-2; HE422/025-4; HE422/031-2; HE422/032-2; HE422/033-2; HE422/034-2; HE422/040-8; HE422/046-2; HE422/047-2; HE422/049-2; HE422/050-2; HE422/051-4; HE422/057-3; HE422/058-2; HE422/060-2; HE422/061-2; HE422/062-4; HE422/074-4; HE422/077-1; HE422/078-2; HE422/081-2; HE422/082-2; HE422/083-2; HE422/084-2; HE422/085-2; HE422/086-2; HE422/087-2; HE422/091-2; HE422/092-2; HE422/093-2; HE422/094-2; HE422/095-2; HE422/096-2; HE422/097-2; HE422/098-2; HE422/099-3; HE422/106-4; Heincke; Helmholtz-Zentrum Hereon; Hereon; LATITUDE; LONGITUDE; NOAH; North Sea; North Sea Observation and Assessment of Habitats; Sample code/label; Size fraction 〈 0.020 mm; Size fraction 〈 0.020 mm, standard deviation; Size fraction 〈 0.063 mm, mud, silt+clay; Size fraction 〈 0.063 mm, mud, silt+clay, standard deviation; Size fraction 〈 0.125 mm; Size fraction 〈 0.125 mm, standard deviation; Size fraction 〈 0.250 mm; Size fraction 〈 0.250 mm, standard deviation; Station label
    Type: Dataset
    Format: text/tab-separated-values, 450 data points
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  • 85
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    Unknown
    Geochemistry of surface water of Wismar Bay (Germany), southern Baltic Sea (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: This investigation was carried out in order to evaluate diagenetic element fluxes and different fresh water sources, including submarine groundwater discharge, on the water column of the Wismar Bay (Germany), southern Baltic Sea. Surface and bottom water samples were collected on board of the RV Littorina (L19-06) and a rubber boat by using a submersible pump in May 2019. The water was pumped through a filter cartridge (1 µM pore size) into barrels. Water samples from the barrels were pumped through manganese-coated acrylic fibers to extract radium (Ra) isotopes (223Ra, 224Ra). The Ra isotopes were measured within 3 and 10 days using radium-delayed coincidence counters (RaDeCC). Subsamples were taken via syringe and filtered (0.45 µM, cellulose acetate disposable filters) for analysis of dissolved concentrations of major and trace elements and selected nutrients using ICP-OES (iCAP, 7400, Duo Thermo Fischer Scientific), dissolved inorganic carbon (DIC) and δ13CDIC using isotope gas mass spectrometry (MAT 253 coupled to a Gasbench II), and δ18OH2O, δ2HH2O using a CRDS system (laser cavity-ring-down-spectroscopy, PICARRO L2140- I).
    Keywords: Barium; Calcium; Carbon, inorganic, dissolved; Cavity ring-down spectroscopy; CRDS; DAM sustainMare - MGF Baltic Sea: Exclusion of mobile bottom-contact fishing in marine protected areas of the German Exclusive Economic Zone of the Baltic Sea; DATE/TIME; DEPTH, water; Event label; Handylab LF 11; ICP-OES, Thermo Fisher iCAP 7400; Iron; L19-06; LATITUDE; Littorina; LONGITUDE; Magnesium; Manganese; Mass spectrometer; MGF_Baltic_Sea; MSPEC; Phosphorus; Potassium; PUMP; Radium-223; Radium-224; Radium-224 excess; Radium delayed coincidence counter, Scientific Computer Instrument; radium isotopes; Research Mission of the German Marine Research Alliance (DAM): Protection and sustainable use of marine areas; Salinity; Silicon; Sodium; southern Baltic Sea; Stable isotopes; Station label; Strontium; submarine groundwater discharge; Sulfur; sustainMare; Water pump; WB_Site-11a; WB_Site-11b; WB_Site-12a; WB_Site-12b; WB_Site-13; WB_Site-14; WB_Site-15; WB_Site-16; WB_Site-17; WB_Site-18; WB_Site-19; WB_Site-1a; WB_Site-1b; WB_Site-20; WB_Site-21; WB_Site-22; WB_Site-23; WB_Site-24; WB_Site-25; WB_Site-26; WB_Site-27; WB_Site-28; WB_Site-29; WB_Site-2a; WB_Site-2b; WB_Site-2c; WB_Site-3; WB_Site-30; WB_Site-31; WB_Site-32; WB_Site-33; WB_Site-34; WB_Site-35; WB_Site-36; WB_Site-37; WB_Site-38; WB_Site-39; WB_Site-4; WB_Site-40; WB_Site-41; WB_Site-42; WB_Site-43; WB_Site-44; WB_Site-45; WB_Site-46; WB_Site-47; WB_Site-5; WB_Site-6; WB_Site-7; WB_Site-8; WB_Site-9; Wismar Bay; Wismar SGD; δ13C, dissolved inorganic carbon; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 958 data points
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  • 86
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    Unknown
    Soil properties and methane cycling gene abundances in the foreland soil on the Tibetan Plateau (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Glacier foreland soil flooded by melt water annually during the melting season, altering soil water content or other soil properties. We collected soil samples in the Longxiazailongba Glacier foreland on the Tibetan Plateau in August 2017. Measuring the soil pH, moisture, Ammonium nitrogen (NH4+), Nitrate nitrogen (NO3-), Total Nitrogen (TN), Organic matter (OM), Available phosphorus (AP). Soils were neutral to slight alkaline, and pH of hollows were significantly higher than those in hummock soils. In contrast, available phosphorous was significantly higher in hummock soils than in hollow soils. Besides, we also quanified mcrA and pmoA gene abundances. With measuring methane fluxes in June (pre-melting season) and August (melting season) 2020, we also measured the soil moisture and pH. The results indicate that soil moisture was significantly higher in melting season (August) than in pre-melting season (June).
    Keywords: Ammonium; DATE/TIME; LATITUDE; LONGITUDE; mcrA gene abundance; Methane oxygenase, pmoA gene, abundance; Methyl coenzyme M reductase, mcrA gene, abundance; Nitrate; Nitrogen, total; Organic matter; pH; Phosphorus, available; pmoA gene abundance; Sample ID; Soil moisture; soil properties; Tibetan Plateau
    Type: Dataset
    Format: text/tab-separated-values, 288 data points
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  • 87
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    Unknown
    In-vitro hydrolysis rates of bio-based plastics under environmentally relevant temperatures (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Bio-degradation assays were performed for bio-based plastics under environmentally relevant temperature between 5 and 30 °C using pH Stat titration. Suspensions of bio-based microparticles were incubated with different hydrolytic enzymes, a lipase from Candida antarctica, an esterase from Bacillus subtilis and a protease from Bacillus licheniformis. Rates of hydrolysis, as determined by counter-titration with a diluted base (NaOH), was recorded for two hours. The thermal profiles of plastic hydrolysis by all three enzymes were investigated. All measurements were conducted under controlled laboratory conditions.
    Keywords: Binary Object; Binary Object (File Size); bio-degradation; BIO-PLASTICS_EUROPE; Developing and Implementing Sustainability-Based Solutions for Bio-Based Plastic Production and Use to Preserve Land and Sea Environmental Quality in Europe; enzymes; File content; Hydrolysis; plastic; Polymer; temperature profiles; Use
    Type: Dataset
    Format: text/tab-separated-values, 72 data points
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  • 88
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    Unknown
    UAV-borne lidar campaign over Umiuaq, Hudson Bay, Canada in 2017 and 2018 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: We performed high-resolution snow height measurements using drone-based lidar over two 0.5 km long areas near the community of Umiujaq, in Tasiapik valley. The North site is centered around (N:56.5684°; W:76.4895°, elevation 122 m) and the South site around (N:56.5594°; W:76.4816°, elevation 133 m). A snow-free survey was performed on 28-29 September 2017 and a snow survey on 25-26 April 2018. We produced 3 cm digital terrain and digital surface models (DTM and DSM) from the lidar cloud points for each site for both lidar campaigns.
    Keywords: Binary Object; Binary Object (File Size); Date/Time of event; Date/Time of event 2; Elevation of event; Event label; Hudson Bay; Latitude of event; Lidar; LiDAR (Light Detection And Ranging); Longitude of event; snow; snow accumulation; snow depth; snow height; Umiujaq_2017_SN; Umiujaq_2017_SS; Umiujaq_2018_WN; Umiujaq_2018_WS; Vegetation; Vegetation change; vegetation-environment interactions
    Type: Dataset
    Format: text/tab-separated-values, 8 data points
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  • 89
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    Filtered EBSD data set of listvenites from Oman Drilling Project Hole BT1B (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: The dataset contains electron backscattered diffraction (EBSD) filtered data acquired on samples collected on cores from Oman Drilling Project Hole BT1B (International Continental Drilling Project Expedition 5057‐4B). A suite of 7 samples in foliated listvenites was analyzed through 11 EBSD maps of variable area width at specific sites of interest. The scanning resolution varies from 0.5 µm to 3 µm. Raw pixel data was filtered with the Channel 5 analysis suite from HKL Technology (Oxford Instruments) and consists in noise reduction followed by a wild spikes extrapolation (level 6; in few cases level 5). Datafiles are provided as channel text files (CTF), which can be processed and viewed with Channel 5 or MTEX.
    Keywords: Binary Object; carbonated peridotite; CDRILL; Core drilling; DEPTH, sediment/rock; EBSD analysis; Listvenite; OmanDP; OmanDP_BT1B; Oman Drilling Project; Sample code/label; Sample ID; Wadi Mansah, Samail, Oman
    Type: Dataset
    Format: text/tab-separated-values, 33 data points
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  • 90
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    Unknown
    Biological indicator records (diatoms, chrysophyte cysts, freshwater invertebrates) from sediments of Suzdalevo Lake (Tunguska region, Russia) – sediment core SUZ1 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Here, we present diatom (Bacillariophyceae), chrysophyte (Chrysophyceae), and zoological indicator (Chironomidae, other aquatic insect, planktonic crustaceans, Bryozoa, Rhabdocoela) taxonomic datasets from a sediment core (core ID: SUZ1, length of 0.42 m) record from a shallow lake (Suzdalevo Lake, 1.8 ha, max. depth of 2.3 m) located near the epicenter of the Tunguska Event explosion in 1908 CE (60°39′29.05″N, 102°3′3.36″E). The datasets include primary data presented in an article (Kavková et al. 2022) that is focused on formation process of the study site (potential impact lake) and Tunguska Event-related environmental disturbance. The core was retrieved using a Kajak gravity corer (sampling tube diameter of 5.8 cm and length of 50 cm) in May 2019.
    Keywords: Ablabesmyia, head capsules; Achnanthidium minutissimum; Adlafia bryophila; Amphipleura pellucida; Amphora copulata; Amphora pediculus; Aulacoseira alpigena; Aulacoseira italica; Aulacoseira laevissima; Aulacoseira valida; Bacillariophyceae; Bezzia-type, head capsules; Bosmina; Brachysira styriaca; Brachysira vitrea; Calculated; Caloneis bacillum; Caloneis silicula; Caloneis tenuis; Cavinula pseudoscutiformis; Ceriodaphnia, ephippia; Chamaepinnularia hassiaca; Chamaepinnularia mediocris; Chironomidae; Chironomidae head capsules; Chironomini undifferentiated, head capsules; Chironomus anthracinus-type, head capsules; Chironomus undifferentiated, head capsules; Chrironomus plumosus-type, head capsules; Chrysophyceae; Chrysophyte cysts; Chrysophyte cysts per unit sediment mass; Cladopelma lateralis-type, head capsules; Cladotanytarsus mancus-type, head capsules; Cocconeis pediculus; Cocconeis placentula; Counting, light microscope; Cricotopus cylindraceus-type, head capsules; Cricotopus intersectus-type, head capsules; Cricotopus-Orthocladius, head capsules; Cristatella mucedo, statoblast; Cymbella aspera; Cymbopleura naviculiformis; Cymbopleura subcuspidata; Daphnia, ephippia; Dasyhelea-type, head capsules; DEPTH, sediment/rock; Diatom, number of species; Diatoma mesodon; Diatoms, total; Diatoms, valves; Diatoms/Chrysophyte cysts ratio; Dicrotendipes nervosus-type, head capsules; Diploneis oblongella; Einfeldia natchitocheae-type, head capsules; Encyonema gaeumannii; Encyonema hebridicum; Encyonema pergracile; Encyonema silesiacum; Encyonema ventricosum; Encyonema vulgare; Endochironomus impar-type, head capsules; Ephemeroptera, mandibles; Epithemia adnata; Epithemia sorex; Eukiefferiella claripennis-type, head capsules; Eunotia arcus; Eunotia bilunaris; Eunotia faba; Eunotia fallax; Eunotia flexuosa; Eunotia formica; Eunotia glacialis; Eunotia hexaglyphis; Eunotia implicata; Eunotia incisa; Eunotia metamonodon; Eunotia minor; Eunotia mucophila; Eunotia pectinalis; Eunotia praerupta; Eunotia tenella; Eunotia tetraodon; Eunotia ursamaioris; Eunotia valida; Fallacia insociabilis; Fallacia subhamulata; Fragilaria capucina var. vaucheriae; Fragilaria mesolepta; Fragilaria tenera; Fragilariforma bicapitata; Fragilariforma constricta; Frustulia erifuga; Frustulia saxonica; Genkalia boreoalpina; Genkalia digitulus; Glyptotendipes pallens-type, head capsules; Gomphonema acuminatum; Gomphonema augur; Gomphonema clavatum; Gomphonema hebridense; Gomphonema micropus; Gomphonema parvulum; Gomphonema pumilum; Gomphonema truncatum; Gomphonema turgidum; Gyrosigma acuminatum; Hantzschia abundans; Hantzschia amphioxys; Hippodonta hungarica; Humidophila contenta; Humidophila perpusilla; Humidophila sp.; Hygropetra balfouriana; impact crater; Kajak sediment core sampler; Karayevia clevei; Karayevia laterostrata; Karayevia suchlandtii; KC; lake sediments; Late Holocene; Lauterborniella, head capsules; Limnophyes, head capsules; Limnophyes-Paralimnophyes, head capsules; Luticola acidoclinata; Luticola ventricosa; Meridion anceps; Meridion circulare; Microcostatus krasskei; Microtendipes pedellus-type, head capsules; Navicula cryptotenella; Navicula radiosa; Navicula rhynchocephala; Navicula tripunctata; Navicula veneta; Navicula wildii; Neidiomorpha binodiformis; Neidium affine; Neidium alpinum; Neidium ampliatum; Neozavrelia, head capsules; Nitzschia acidoclinata; Nitzschia alpina; Nitzschia dissipata; Nitzschia fonticola; Nitzschia frustulum; Nitzschia microcephala; Nitzschia rectiformis; Nitzschia terrestris; Omisus, head capsules; Orthocladiinae undifferentiated, head capsules; Orthocladius oliveri-type, head capsules; Paraplaconeis placentula; Paratanytarsus penicilatus-type, head capsules; Paratanytarsus undifferentiated, head capsules; Paratendipes albimanus-type, head capsules; Pinnularia borealis; Pinnularia brebissonii; Pinnularia divergens; Pinnularia gibba; Pinnularia microstauron; Pinnularia nodosa; Pinnularia perirrorata; Pinnularia pisciculus; Pinnularia rupestris; Pinnularia sinistra; Pinnularia subanglica; Pinnularia subgibba; Pinnularia viridis; Placoneis gastrum; Planothidium frequentissimum; Platessa conspicua; Platessa oblongela; Plumatella spp., statoblast; Polypedilum nubeculosum-type, head capsules; Polypedilum nubifer-type, head capsules; Procladius, head capsules; Psammothidium abundans; Psammothidium hainanii; Psammothidium marginulatum; Psammothidium subatomoides; Psectrocladius sordidellus-type, head capsules; Pseudosmittia, head capsules; Pseudostaurosira brevistriata; Pseudostaurosira parasitica; Pseudostaurosira trainorii; Reimeria sinuata; Rhabdocoela, resting eggs; Rhoicosphenia abbreviata; Rhopalodia gibba; Rossithidium pusillum; Sellaphora atomoides; Sellaphora bacillum; Sellaphora laevissima; Sellaphora pupula; Sellaphora saugerresii; Sergentia coracina-type, head capsules; Stauroforma exiguiformis; Stauroneis anceps; Stauroneis gracilior; Stauroneis kriegeri; Stauroneis neohyalina; Stauroneis phoenicenteron; Stauroneis smithii; Staurosira construens; Staurosira construens var. venter; Staurosirella leptostauron; Staurosirella pinnata; Stenochironomus, head capsules; Surirella linearis; Suzdalevo_Lake_SUZ1; Tabellaria flocculosa; Tanypodinae undifferentiated, head capsules; Tanytarsini undifferentiated, head capsules; Tanytarsus lugens-type, head capsules; Tanytarsus mendax-type, head capsules; Tanytarsus nemorosus-type, head capsules; Tanytarsus pallidicornis-type, head capsules; Tanytarsus undifferentiated, head capsules; Tetracyclus glans; Tryblionella hungarica; Tunguska cosmic body; Ulnaria acus; Ulnaria ulna
    Type: Dataset
    Format: text/tab-separated-values, 9159 data points
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  • 91
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    Methane dry air mole fractions measured in the Swiss container during MOSAiC 2019/2020 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: This dataset contains minute-averaged methane dry air mole fractions measured during the year-long Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition from October 2019 to September 2020. The measurements were performed in the Swiss container on the D-deck of Research Vessel Polarstern. Data were collected by cavity ring-down spectroscopy using a commercial Picarro instrument (model G2401). The minute-averaged dry air mole fractions were adjusted after cross-evaluation against discrete whole air samples collected for post-cruise analysis at the National Oceanic and Atmospheric Administration (NOAA) Global Monitoring Laboratory. Pollution spikes due to local anthropogenic pollution sources (e.g., exhaust by the vessel's engine and vents, skidoos, helicopters, on-ice diesel generators) were identified and flagged as follows. For each data point, the gradient (time derivative) was calculated (Beck et al., 2022). Data points corresponding to an abnormally high gradient (〉 1.5 times the interquartile range) and neighboring points were discarded. The function “despike” from R package oce (version 1.3-0) was then applied to the time-series to remove any remaining local pollution spikes. Briefly, this function first linearly interpolates across any gaps (missing values). Then, it calculates a running median spanning k elements. The result of these two steps is the “reference” time-series. The standard deviation of the difference between values and the reference is then calculated. Values that differ from the reference by more than n times this standard deviation are considered to be spikes and eliminated. The function was applied once with n = 1 and k = 61 (~ 1 hour). The data columns include the Date and Time in Coordinated Universal Time (UTC), the latitude and longitude of Research Vessel Polarstern, the MOSAiC event label, the original methane dry air mole fraction in nmol/mol, the adjusted methane dry air mole fraction in nmol/mol after cross-evaluation, and a pollution flag where 'yes' means that local pollution was detected.
    Keywords: Arctic Ocean; Cavity ring down spectrometer, G2401, Picarro Inc.; central Arctic Ocean; DATE/TIME; Event label; Flag, pollution; LATITUDE; LONGITUDE; Methane, dry-air mole fraction; methane concentrations; MOSAiC; MOSAiC_ATMOS; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; North Greenland Sea; Polarstern; PS122/1; PS122/1_1-75; PS122/2; PS122/2_14-256; PS122/3; PS122/3_28-38; PS122/4; PS122/4_43-30; PS122/5; PS122/5_58-29; TGM; Trace gas monitor
    Type: Dataset
    Format: text/tab-separated-values, 1052082 data points
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  • 92
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    Ambient air ozone mole fractions measured in the Swiss container during MOSAiC 2019/2020 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: This dataset contains minute-averaged ozone mole fractions measured during the year-long Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition from October 2019 to September 2020. The measurements were performed in the Swiss container on the D-deck of Research Vessel Polarstern. Data were collected using a 2B Technologies instrument (model 205). The minute-averaged mole fractions were adjusted after cross-evaluation against measurements performed in the Atmospheric Radiation Measurement (ARM) Program container using a Thermo Fisher Scientific model 49i instrument. Negative spikes due to local anthropogenic pollution sources (e.g., exhaust by the vessel's engine and vents, skidoos, helicopters, on-ice diesel generators) were identified and flagged using the function “despike” from R package oce (version 1.3-0). Briefly, this function first linearly interpolates across any gaps (missing values). Then, it calculates a running median spanning k elements. The result of these two steps is the “reference” time-series. The standard deviation of the difference between values and the reference is then calculated. Values that differ from the reference by more than n times this standard deviation are considered to be spikes and eliminated. The function was applied twice with different k values (k = 1439 (1 day) and k = 61 (1 hour)) and n = 3. The data columns include the Date and Time in Coordinated Universal Time (UTC), the latitude and longitude of Research Vessel Polarstern, the MOSAiC event label, the original ozone mole fractions in nmol/mol, the adjusted ozone mole fractions in nmol/mol after cross-evaluation, and a pollution flag where 'yes' means that local pollution was detected.
    Keywords: Arctic Ocean; central Arctic Ocean; Chemiluminescence O3 monitor, 2B Technologies model 205 dual-beam; DATE/TIME; Event label; Flag, pollution; LATITUDE; LONGITUDE; MOSAiC; MOSAiC_ATMOS; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; North Greenland Sea; O3_MONITOR; ozone; Ozone, dry-air mole fraction; Ozone monitor; Polarstern; PS122/1; PS122/1_1-76; PS122/2; PS122/2_14-167; PS122/3; PS122/3_28-35; PS122/4; PS122/4_43-27; PS122/5; PS122/5_58-28
    Type: Dataset
    Format: text/tab-separated-values, 1444757 data points
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  • 93
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    Carbon monoxide dry air mole fractions measured in the Swiss container during MOSAiC 2019/2020 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: This dataset contains minute-averaged carbon monoxide dry air mole fractions measured during the year-long Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition from October 2019 to September 2020. The measurements were performed in the Swiss container on the D-deck of Research Vessel Polarstern. Data were collected by cavity ring-down spectroscopy using a commercial Picarro instrument (model G2401). The minute-averaged dry air mole fractions were adjusted after cross-evaluation against discrete whole air samples collected for post-cruise analysis at the National Oceanic and Atmospheric Administration (NOAA) Global Monitoring Laboratory. Pollution spikes due to local anthropogenic pollution sources (e.g., exhaust by the vessel's engine and vents, skidoos, helicopters, on-ice diesel generators) were identified and flagged as follows. For each data point, the gradient (time derivative) was calculated (Beck et al., 2022). Data points corresponding to an abnormally high gradient (〉 1.5 times the interquartile range) and neighboring points were discarded. The function “despike” from R package oce (version 1.3-0) was then applied to the time-series to remove any remaining local pollution spikes. Briefly, this function first linearly interpolates across any gaps (missing values). Then, it calculates a running median spanning k elements. The result of these two steps is the “reference” time-series. The standard deviation of the difference between values and the reference is then calculated. Values that differ from the reference by more than n times this standard deviation are considered to be spikes and eliminated. The function was applied once with n = 3 and k = 61 (~ 1 hour). The data columns include the Date and Time in Coordinated Universal Time (UTC), the latitude and longitude of Research Vessel Polarstern, the MOSAiC event label, the original carbon monoxide dry air mole fraction in nmol/mol, the adjusted carbon monoxide dry air mole fraction in nmol/mol after cross-evaluation, and a pollution flag where 'yes' means that local pollution was detected.
    Keywords: Arctic Ocean; carbon monoxide; Carbon monoxide, dry-air mole fraction; Cavity ring down spectrometer, G2401, Picarro Inc.; central Arctic Ocean; DATE/TIME; Event label; Flag, pollution; LATITUDE; LONGITUDE; MOSAiC; MOSAiC_ATMOS; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; North Greenland Sea; Polarstern; PS122/1; PS122/1_1-75; PS122/2; PS122/2_14-256; PS122/3; PS122/3_28-38; PS122/4; PS122/4_43-30; PS122/5; PS122/5_58-29; TGM; Trace gas monitor
    Type: Dataset
    Format: text/tab-separated-values, 1227843 data points
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  • 94
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    Ambient air sulfur dioxide mole fractions measured in the Swiss container during MOSAiC 2019/2020 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: This dataset contains minute-averaged sulfur dioxide mole fractions measured during the year-long Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition from October 2019 to September 2020. The measurements were performed in the Swiss container on the D-deck of Research Vessel Polarstern. Data were collected by pulsed fluorescence using a Thermo Fisher Scientific instrument (model 43i). The minute-resolution mole fractions were adjusted after cross-evaluation against a certified sulfur dioxide standard at the end of the expedition at the Swiss Laboratories for Materials Science and Technology (EMPA). Spikes due to local anthropogenic pollution sources (e.g., exhaust by the vessel's engine and vents, skidoos, helicopters, on-ice diesel generators) were identified and flagged as follows. For each data point, the gradient (time derivative) was calculated (Beck et al., 2022). Data points corresponding to an abnormally high gradient (〉 1.5 times the interquartile range) and neighboring points were discarded. The function “despike” from R package oce (version 1.3-0) was then applied to the time-series to remove any remaining local pollution spikes. Briefly, this function first linearly interpolates across any gaps (missing values). Then, it calculates a running median spanning k elements. The standard deviation of the difference between values and the reference is then calculated. The result of these two steps is the “reference” time-series. Values that differ from the reference by more than n times this standard deviation are considered to be spikes and eliminated. The function was applied once with n = 1 and k = 61 (~ 1 hour). The data columns include the Date and Time in Coordinated Universal Time (UTC), the latitude and longitude of Research Vessel Polarstern, the MOSAiC event label, the sulfur dioxide mole fractions in nmol/mol, a pollution flag where 'yes' means that local pollution was detected, and a detection limit flag where 'yes' indicates that the concentration was below the lower detectable limit of 1 nmol/mol.
    Keywords: Arctic Ocean; central Arctic Ocean; DATE/TIME; Event label; Flag, below detection limit; Flag, pollution; LATITUDE; LONGITUDE; MOSAiC; MOSAiC_ATMOS; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; North Greenland Sea; Polarstern; PS122/1; PS122/1_1-77; PS122/2; PS122/2_14-226; PS122/3; PS122/3_28-37; PS122/4; PS122/4_43-29; PS122/5; PS122/5_58-35; Pulsed fluorescence SO2 analyzer, model 43i (Thermo Fisher Scientific); sulfur dioxide; Sulfur dioxide, dry-air mole fraction; TGM; Trace gas monitor
    Type: Dataset
    Format: text/tab-separated-values, 1490997 data points
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  • 95
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    Carbon dioxide dry air mole fractions measured during MOSAiC 2019/2020 (merged dataset) (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: This dataset contains hourly-averaged carbon dioxide dry air mole fractions measured during the year-long Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition from October 2019 to September 2020. This is a merged dataset that combines cross-evaluated measurements performed in the University of Colorado (CU) and Swiss containers on Research Vessel Polarstern, along with cross-evaluated measurements performed on sea ice at Met City, and discrete whole air samples collected for post-cruise analysis at the National Oceanic and Atmospheric Administration (NOAA) Global Monitoring Laboratory (GML). This merged dataset is recommended for further use by the community. The data columns include the Date and Time in Coordinated Universal Time (UTC), the latitude and longitude of the Research Vessel Polarstern, the carbon dioxide dry air mole fraction in µmol/mol, and the sampling location.
    Keywords: AIRS; Air sampler; Arctic Ocean; carbon dioxide; Carbon dioxide, dry-air mole fraction; Cavity ring-down greenhouse gas flux analyzer; central Arctic Ocean; CRDGFA; DATE/TIME; FLUX_TOWER; Flux tower; LATITUDE; Location; LONGITUDE; MOSAiC; MOSAiC_ATMOS; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; North Greenland Sea; Polarstern; PS122/1; PS122/1_1-299; PS122/1_1-70; PS122/1_1-75; PS122/1_4-38; PS122/2; PS122/2_14-119; PS122/2_14-202; PS122/2_14-256; PS122/2_20-118; PS122/2_21-131; PS122/2_22-100; PS122/2_23-112; PS122/2_24-91; PS122/3; PS122/3_28-31; PS122/3_28-38; PS122/3_28-7; PS122/3_29-86; PS122/3_31-97; PS122/3_32-99; PS122/3_34-100; PS122/3_34-99; PS122/3_35-123; PS122/3_36-92; PS122/3_37-163; PS122/3_39-138; PS122/3_40-54; PS122/3_41-21; PS122/3_42-51; PS122/4; PS122/4_43-30; PS122/4_43-48; PS122/4_43-74; PS122/4_44-145; PS122/4_45-4; PS122/4_47-106; PS122/4_47-107; PS122/4_50-7; PS122/5; PS122/5_58-117; PS122/5_58-29; PS122/5_58-6; PS122/5_59-477; PS122/5_60-221; PS122/5_61-43; Snow sampler metal; SSM; TGM; Trace gas monitor
    Type: Dataset
    Format: text/tab-separated-values, 15230 data points
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  • 96
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    Carbon dioxide dry air mole fractions measured in the Swiss container during MOSAiC 2019/2020 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: This dataset contains carbon dioxide dry air mole fractions measured during the year-long MOSAiC expedition from October 2019 to September 2020. The measurements were performed in the Swiss container on the D-deck of Research Vessel Polarstern. Data were collected by cavity ring-down spectroscopy using a commercial Picarro instrument (model G2401). The minute-averaged dry air mole fractions were adjusted after cross-evaluation against discrete whole air samples collected for post-cruise analysis at the National Oceanic and Atmospheric Administration (NOAA) Global Monitoring Laboratory. Pollution spikes due to local anthropogenic pollution sources (e.g., exhaust by the vessel's engine and vents, skidoos, helicopters, on-ice diesel generators) were identified and flagged as follows. For each data point, the gradient (time derivative) was calculated (Beck et al., 2022). Data points corresponding to an abnormally high gradient (〉 1.5 times the interquartile range) and neighboring points were discarded. The function “despike” from R package oce (version 1.3-0) was then applied to the time-series to remove any remaining local pollution spikes. Briefly, this function first linearly interpolates across any gaps (missing values). Then, it calculates a running median spanning k elements. The result of these two steps is the “reference” time-series. The standard deviation of the difference between values and the reference is then calculated. Values that differ from the reference by more than n times this standard deviation are considered to be spikes and eliminated. The function was applied once with n = 1 and k = 61 (~ 1 hour). The data columns include the Date and Time in Coordinated Universal Time (UTC), the latitude and longitude of Research Vessel Polarstern, the MOSAiC event label, the original carbon dioxide dry air mole fraction in µmol/mol, the adjusted carbon dioxide dry air mole fraction in µmol/mol after cross-evaluation, and a pollution flag where 'yes' means that local pollution was detected.
    Keywords: Arctic Ocean; carbon dioxide; Carbon dioxide, dry-air mole fraction; Cavity ring down spectrometer, G2401, Picarro Inc.; central Arctic Ocean; DATE/TIME; Event label; Flag, pollution; LATITUDE; LONGITUDE; MOSAiC; MOSAiC_ATMOS; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; North Greenland Sea; Polarstern; PS122/1; PS122/1_1-75; PS122/2; PS122/2_14-256; PS122/3; PS122/3_28-38; PS122/4; PS122/4_43-30; PS122/5; PS122/5_58-29; TGM; Trace gas monitor
    Type: Dataset
    Format: text/tab-separated-values, 818874 data points
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  • 97
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    A global marine particulate organic carbon-13 isotope data product (Version2) (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Marine particulate organic carbon-13 stable isotope ratios (δ13C-POC) provide additional constraints and insights into the cycling of carbon from dissolved pools to marine ecosystems including anthropogenic contributions. For such purposes, a robust spatio-temporal coverage of δ13C-POC observations is essential. In this data product, we collected and merged two large data compilations (Close and Henderson, 2020; St John Glew et al., 2021) into our previous version (Verwega et al., 2021) to provide the largest available marine δ13C-POC data set. Additionally, we have incorporated more meta information including if the samples were acidified before measuring the isotope ratio. The data set consists of 6952 data points covering the global ocean from year 1966 to 2019. We provide the data in the following two formats for best application on specific research purposes: (1) A spreadsheet file including all collected individual data and meta-information; (2) Network Common Data Form (NetCDF) files that only include acidified samples (6633 total data points) interpolated onto a global ocean grid (1°x1° horizontal resolution, 33 vertical levels based on World Ocean Atlas 2009) for each month individually and all months combined, with each file covering the temporal range from year 1966 to 2019.
    Keywords: Binary Object; Binary Object (File Size); Binary Object (Media Type); carbon isotope ratio (δ13C); Description; global; marine; ocean; Particulate organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 28 data points
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  • 98
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    Methane concentration and oxidation rate in the Yangtze River Estuary (July 2021) and East China Sea (April 2021) (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: We investigated the dynamic of methane (CH4) concentration, saturation, and sea-to-air flux in the typical near-shore (Yangtze River Estuary) and outer shelf (East China Sea) areas. We further determined the dynamic of aerobic methanotrophic activity employing in vitro radiotracer assay. The data presented here are beneficial to advancing our understanding for the methane cycle in the estuarine and shelf regions. Water samples were collected from the Yangtze River Estuary and East China Sea aboard the R/V “Runjiang 1 and Zheyuke 2”, “Xiangyang hong 18” during three expeditions in July and March-April 2021. Methane samples were collected directly using a 12 L Niskin bottle deployed on a Seabird 911 CTD rosette system, from which seawater temperature, salinity and depth were recorded. Methane samples in seawater were measured using a cryogenic purge-and-trap setup connected to an Agilent GC-8890 gas chromatograph with a flame ionization detector according to the detailed methods given in (Zhang et al., 2004). We used a radiotracer approach and added 3H-CH4 to seawater samples to determine the methan oxidation (MOx) rate by quantifying 3H-CH4 oxidation to 3H-H2O (Rogener et al., 2020).
    Keywords: A1-1; A1-3; A1-5; A1-7; A1-8; A2-1; A2-3; A2-5; A2-7; A2-8; A3-1; A3-3; A3-5; A3-7; A3-8; A4-1; A4-3; A4-5; A4-7; A4-8; A5-1; A5-2; A5-3; A5-4; A5-5; A5-6; A5-7; A5-8; A6-1; A6-2; A6-3; A6-4; A6-5; A6-6; A6-7; A6-8; A7-1; A7-3; A7-5; A7-7; A7-8; Agilent GC-8890 gas chromatograph with a flame ionization detector; Area/locality; B1; B2; B3; C1; C2; C3; C4; C5; CTD, Sea-Bird, SBE 911; CTD/Rosette; CTD-RO; DATE/TIME; Depth, bathymetric; DEPTH, water; East China Sea; Event label; LATITUDE; LONGITUDE; Methane; methane concentrations; Methane flux; methane oxidation; Methane oxidation rate; Radiotracer; RJ-1_2021; RJ-1_2021_A1-1; RJ-1_2021_A1-3; RJ-1_2021_A1-5; RJ-1_2021_A1-7; RJ-1_2021_A1-8; RJ-1_2021_A2-1; RJ-1_2021_A2-3; RJ-1_2021_A2-5; RJ-1_2021_A2-7; RJ-1_2021_A2-8; RJ-1_2021_A3-1; RJ-1_2021_A3-3; RJ-1_2021_A3-5; RJ-1_2021_A3-7; RJ-1_2021_A3-8; RJ-1_2021_A4-1; RJ-1_2021_A4-3; RJ-1_2021_A4-5; RJ-1_2021_A4-7; RJ-1_2021_A4-8; RJ-1_2021_A7-1; RJ-1_2021_A7-3; RJ-1_2021_A7-5; RJ-1_2021_A7-7; RJ-1_2021_A7-8; RJ-1_2021_B1; RJ-1_2021_B2; RJ-1_2021_B3; RJ-1_2021_C1; RJ-1_2021_C2; RJ-1_2021_C3; RJ-1_2021_C4; RJ-1_2021_C5; Runjiang 1; S02-1; S02-2; S02-3; S02-4; S02-5; S02-6; S02-7; S02-8; S03-1; S03-2; S03-3; S03-4; S03-5; S03-6; S04-1; S04-2; S04-3; S04-4; S04-5; S05-1; S05-2; S05-3; S05-4; S23-1; S23-2; S34-1; S34-2; Salinity; Station label; Temperature, water; Vessel; Xiangyang hong 18; XYH-18_2021; XYH-18_2021_S02-1; XYH-18_2021_S02-2; XYH-18_2021_S02-3; XYH-18_2021_S02-4; XYH-18_2021_S02-5; XYH-18_2021_S02-6; XYH-18_2021_S02-7; XYH-18_2021_S02-8; XYH-18_2021_S03-1; XYH-18_2021_S03-2; XYH-18_2021_S03-3; XYH-18_2021_S03-4; XYH-18_2021_S03-5; XYH-18_2021_S03-6; XYH-18_2021_S04-1; XYH-18_2021_S04-2; XYH-18_2021_S04-3; XYH-18_2021_S04-4; XYH-18_2021_S04-5; XYH-18_2021_S05-1; XYH-18_2021_S05-2; XYH-18_2021_S05-3; XYH-18_2021_S05-4; XYH-18_2021_S23-1; XYH-18_2021_S23-2; XYH-18_2021_S34-1; XYH-18_2021_S34-2; Yangtze River Estuary; Zheyuke 2; ZY-2_2021; ZY-2_2021_A5-1; ZY-2_2021_A5-2; ZY-2_2021_A5-3; ZY-2_2021_A5-4; ZY-2_2021_A5-5; ZY-2_2021_A5-6; ZY-2_2021_A5-7; ZY-2_2021_A5-8; ZY-2_2021_A6-1; ZY-2_2021_A6-2; ZY-2_2021_A6-3; ZY-2_2021_A6-4; ZY-2_2021_A6-5; ZY-2_2021_A6-6; ZY-2_2021_A6-7; ZY-2_2021_A6-8
    Type: Dataset
    Format: text/tab-separated-values, 585 data points
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  • 99
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    BENthic Foraminifera quantitative database from surface sediments of the Eastern Pacific (BENFEP_v1) (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: The BENFEP_v1 database contains georeferenced quantitative data of benthic foraminifera species from the Eastern Pacific surface sediments collated from 50 published and unpublished datasets. We consider one data as quantitative when the species abundance in an assemblage is provided as number of individuals (counts), relative abundance (percent) or density (number of individuals per volume unit). The taxonomy of benthic foraminiferal species is harmonized using the World Foraminifera Database (Hayward et al., 2022, last accessed on 22-12-08). Census data are provided in their original form and including with coded metadata (e.g., sampling devices, interval, type of assemblage, size fraction) to facilitate data analysis using different software. BENFEP_v1 is presented in short and in long format. In BENFEP_v1_short, foraminiferal entities (valid species or species identified to genus level) are provided as columns whereas in BENFEP_v1_long, foraminiferal entities are indicated in a single column. The long format integrates the taxonomic information extracted from WoRMS as well as the original authors' species designations which are provided in the related manuscript (Diz et al., doi:10.5194/essd-2022-324). Explanations about column names and column codes for BENFEP_v1_short and BENFEP_v1_long can be found in the companion files.
    Keywords: Benthic foraminifera; Database; East_Pacific_BENFEP; East Pacific; File content; Sediment sample; SES; Surface; Text file
    Type: Dataset
    Format: text/tab-separated-values, 6 data points
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  • 100
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    Unknown
    Methane production in the Yangtze River Estuary and East China Sea in 2019/2020 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: We investigated the dynamic of methane concentration, saturation, and sea-to-air flux in the typical near-shore (Yangtze River Estuary) and outer shelf (East China Sea) areas. We further determined microbial methane production and the dynamic of aerobic methanotrophic activity employing in vitro radiotracer assay. The data presented here are beneficial to advancing our understanding for the methane cycle in the estuarine and shelf regions. This dataset includes the CH4 production during incubations with additions of methanogenic substrates in nearshore and offshore waters of the Yangtze River Estuary and East China Sea. Water samples of methane production experiments were collected from the Yangtze River Estuary and East China Sea aboard the R/V “Dongfang hong 3”and “Xiangyang hong 18” during two expeditions in December 2019 to January 2020 and May to June 2020. Seawater samples were collected directly using a 12 L Niskin bottle deployed on a Seabird 911 CTD rosette system, from which seawater temperature, salinity and depth were recorded. Methane production culture experiments were conducted in 125 mL acid-washed and sterilized serum vials filled with seawater and methane samples were measured using the headspace method. Each sample was shaken on a vortex mixer for 2 min to equilibrate the gas-liquid prior to gas extraction and 0.1-1 mL subsamples from the headspace were injected into GC-8890 using a gas-tight syringe.
    Keywords: CTD/Rosette; CTD-RO; DFH-3_2019-20; Dong Fang Hong 3; East China Sea; ECS_S2; ECS_S3; ECS_S4; methane concentrations; Methane flux; methane oxidation; P1; P5; S2; S3; S4; Xiangyang hong 18; XYH-18_2020; Yangtze River Estuary; YRE_P1; YRE_P5
    Type: Dataset
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 17.2 kBytes
    Location Call Number Expected Availability
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