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  • PANGAEA  (421,826)
  • MDPI Publishing
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  • 1
    Publication Date: 2024-04-11
    Description: This dataset reports measurements from a laboratory incubation of soils sourced from a boreal peatland and surrounding habitats (Siikaneva Bog, Finland). In August 2021, soil cores were collected from three habitat zones: a well-drained upland forest, an intermediate margin ecotone, and a Sphagnum moss bog. The cores from each habitat were taken from surface to approximately 50cm below surface using an Eijelkamp peat corer and subdivided by soil horizon. The samples were then incubated anaerobically for 140 days in three temperature treatment groups (0, 4, 20°C). Subsamples of the incubations headspace (250 µL) were measured on a gas chromatograph (7890A, Agilent Technologies, USA) with flame ionization detection (FID) for CO2 and CH4 concentrations. The rate of respiration from the samples were calculated per gram carbon and per gram soil as described in the method of Robertson., et al. (1999) and reported here, along with other relevant parameters.
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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  • 2
  • 3
    Publication Date: 2024-01-10
    Description: This data set integrates findings of 16 years (2005 to 2020) of collaborative monitoring efforts across multiple institutions in the Gulf of California.The data encompasses information of 13 species of marine herbivorous fishes belonging to five families: Acanthuridae, Girellidae, Kyphosidae, Pomacentridae and Scaridae. This database presents 884 records of biomass from 15,542 visual censuses assessed by scuba diving in 34 localities (comprising 268 rocky and coral reefs sites). Visual censuses consisted of belt transects (250 m2, 100 m2, and 60 m2) laid parallel to the coastline preserving a similar depth profiles. Along these transects, trained underwater monitors, identified the species, recorded the abundance of all the adult individuals of the 13 targeted species and visually estimated the total length (cm) of each fish. The information for each transect in the database, is presented as the biomass (grams per square meter), which was estimated based on the size per individual as well as the weight-length relationship for each species, available on the literature. In the database is also integrated the information of the latitude and longitude of each locality, type of management, localities in the Gulf of California, institutions, the initial and final year of data, total number of years, as well as the mean, standard deviation, sample size, slope (annual rate of change), probability value, standard error and minimum and maximum value calculated for each species within each locality. This dataset represents a historical reference point for the condition of the 13 species found in the Gulf of California. It can be used to perform evaluations of how herbivorous fish communities have changed over time and across different locations. This is particularly relevant due to the influence of global changes leading to tropicalization in the study area. Furthermore, this information holds significance as it supplies essential insights to those responsible for the management of protected zones in the Gulf and the broader eastern tropical Pacific region. communities have changed over time and across different locations. This is particularly relevant due to the influence of global changes leading to tropicalization in the study area. Furthermore, this information holds significance as it supplies essential insights to those responsible for the management of protected zones in the Gulf and the broader eastern tropical Pacific region.
    Keywords: Abundance; Activity description; Area/locality; Biomass; Calculated; density; Estimated; Event label; Family; GOC_Loc_1; GOC_Loc_10; GOC_Loc_11; GOC_Loc_12; GOC_Loc_13; GOC_Loc_14; GOC_Loc_15; GOC_Loc_16; GOC_Loc_17; GOC_Loc_18; GOC_Loc_19; GOC_Loc_2; GOC_Loc_20; GOC_Loc_21; GOC_Loc_22; GOC_Loc_23; GOC_Loc_24; GOC_Loc_25; GOC_Loc_26; GOC_Loc_27; GOC_Loc_28; GOC_Loc_29; GOC_Loc_3; GOC_Loc_30; GOC_Loc_31; GOC_Loc_32; GOC_Loc_33; GOC_Loc_34; GOC_Loc_4; GOC_Loc_5; GOC_Loc_6; GOC_Loc_7; GOC_Loc_8; GOC_Loc_9; Gulf of California; Herbivorous; Identification; Institution; Latitude of event; Longitude of event; Monitoring; Number of samples; Number of years; Probability; Probability, standard error; Rocky and coral reefs; SCUBA-DIVE; Slope; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Standard deviation; Year of observation; Zone
    Type: Dataset
    Format: text/tab-separated-values, 7849 data points
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  • 4
    Publication Date: 2024-01-10
    Description: Through collaborative monitoring involving multiple academic, government, and civil institutions over a span of 16 years (2005 to 2020), we compiled 884 records of the density of 13 species of marine herbivorous fishes. The data was collected through 15,542 visual censuses conducted by scuba diving in 34 localities, encompassing 268 rocky and coral reef sites. These censuses utilized belt transects (250 m², 100 m², and 60 m²) parallel to the coastline at similar depth profiles. Trained underwater monitors recorded abundances of all adult individuals of the 13 targeted species along the transects. The information for each transect in the database is presented as the average fish density (individuals per square meter), estimated based on the abundance for each species. The database integrates information on latitude, longitude, type of management, localities in the Gulf of California, institutions, initial and final years of data collection, total number of years, as well as mean, standard deviation, sample size, slope (annual rate of change), probability value, standard error, and minimum and maximum values calculated for each species within each locality. This dataset serves as a historical benchmark for assessing the status of 13 species in the Gulf of California. It enables the examination of changes in herbivorous fish communities over time and across various locations, which is crucial given the impact of global changes leading to tropicalization in the study area. The data is particularly important for providing valuable insights to those managing protected areas in the Gulf and the broader eastern tropical Pacific region.
    Keywords: Abundance; Activity description; Area/locality; Calculated; density; Estimated; Event label; Family; GOC_Loc_1; GOC_Loc_10; GOC_Loc_11; GOC_Loc_12; GOC_Loc_13; GOC_Loc_14; GOC_Loc_15; GOC_Loc_16; GOC_Loc_17; GOC_Loc_18; GOC_Loc_19; GOC_Loc_2; GOC_Loc_20; GOC_Loc_21; GOC_Loc_22; GOC_Loc_23; GOC_Loc_24; GOC_Loc_25; GOC_Loc_26; GOC_Loc_27; GOC_Loc_28; GOC_Loc_29; GOC_Loc_3; GOC_Loc_30; GOC_Loc_31; GOC_Loc_32; GOC_Loc_33; GOC_Loc_34; GOC_Loc_4; GOC_Loc_5; GOC_Loc_6; GOC_Loc_7; GOC_Loc_8; GOC_Loc_9; Gulf of California; Herbivorous; Identification; Individuals per area; Institution; Latitude of event; Longitude of event; Monitoring; Number of samples; Number of years; Probability; Probability, standard error; Rocky and coral reefs; SCUBA-DIVE; Slope; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Standard deviation; Year of observation; Zone
    Type: Dataset
    Format: text/tab-separated-values, 7849 data points
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  • 5
    Publication Date: 2024-01-03
    Keywords: AGE; Antarctic Circumpolar Current; Clay; DEPTH, sediment/rock; Diatoms; Giant piston corer (Calypso); GPC-C; Grain size, Mastersizer S, Malvern Instrument Inc.; magnetic parameters; Marion Dufresne (1995); MD12-3401; MD128; mineralogic parameters; Silt; Summer sea surface temperature; SWAF
    Type: Dataset
    Format: text/tab-separated-values, 498 data points
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  • 6
    Publication Date: 2024-01-03
    Keywords: AGE; Anhysteretic susceptibility/magnetic susceptibility; Antarctic Circumpolar Current; Cryogenic magnetometer, 2G Enterprises; DEPTH, sediment/rock; Giant piston corer (Calypso); GPC-C; magnetic parameters; Magnetic susceptibility; Marion Dufresne (1995); MD12-3401; MD128; mineralogic parameters; Summer sea surface temperature; SWAF
    Type: Dataset
    Format: text/tab-separated-values, 320 data points
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  • 7
    Publication Date: 2024-01-03
    Keywords: AGE; Antarctic Circumpolar Current; calculated, 1 sigma; DEPTH, sediment/rock; Giant piston corer (Calypso); GPC-C; magnetic parameters; Marion Dufresne (1995); MD12-3401; MD128; mineralogic parameters; Reconstructed from the percentage of Neogloboquadrina pachyderma sinistral; Reconstructed from the percentage of planktic foraminifera; Sea surface temperature, summer; Sea surface temperature, summer, standard deviation; Summer sea surface temperature; SWAF
    Type: Dataset
    Format: text/tab-separated-values, 186 data points
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  • 8
    Publication Date: 2024-01-04
    Description: Concentrations of particulate and dissolved organic carbon from water samples collected throughout the ice-free season in the Lena River Delta, supplemented with samples from Central Siberian Rivers Kochechum and Nizhnyaya Tunguska. Particulate samples were obtained by filtering water through pre-combusted glass-fibre filters, dissolved organic matter was studied in the filtrate. Molar concentration ratios of organic carbon to nitrogen in particulate samples are additionally reported as well as stable carbon isotopic composition (δ13C in ‰ VPDB) and radiocarbon content (∆14C in ‰) of particulate and dissolved organic carbon.
    Keywords: AWI Arctic Land Expedition; Carbon, organic, dissolved; Carbon, organic, particulate; Carbon, organic, particulate/Nitrogen, particulate ratio; CARBOPERM; Comment; Cruise/expedition; d13C; D14C; DATE/TIME; DEPTH, water; DOC; Event label; Formation, turnover and release of carbon in Siberian permafrost landscapes; Kochechum_River; Kochechum River; L10-05; L10-10; L11-06; L11-08/09; L11-10/11; L11-12/13; L11-14/15; L14-01; L14-03; L14-05; L14-06; L14-07; L14-14; L14-16; L14-17; L14-18; L14-19; L14-22; L14-27; L14-29; L14-K1; L14-K2; L14-K3; L14-K4; Laboratory code/label; LATITUDE; Lena2010; Lena2011; LONGITUDE; N_Tunguska_River; Nizhnyaya Tunguska River at Tura; POC; Reference/source; RU-Land_2010_Lena; RU-Land_2010_Lena-L10-05; RU-Land_2010_Lena-L10-10; RU-Land_2011_Lena; RU-Land_2011_Lena-L11-06; RU-Land_2011_Lena-L11-08/09; RU-Land_2011_Lena-L11-10/11; RU-Land_2011_Lena-L11-12/13; RU-Land_2011_Lena-L11-14/15; RU-Land_2014_Lena; RU-Land_2014_Lena-L14-01; RU-Land_2014_Lena-L14-03; RU-Land_2014_Lena-L14-05; RU-Land_2014_Lena-L14-06; RU-Land_2014_Lena-L14-07; RU-Land_2014_Lena-L14-14; RU-Land_2014_Lena-L14-16; RU-Land_2014_Lena-L14-17; RU-Land_2014_Lena-L14-18; RU-Land_2014_Lena-L14-19; RU-Land_2014_Lena-L14-22; RU-Land_2014_Lena-L14-27; RU-Land_2014_Lena-L14-29; RU-Land_2014_Lena-L14-K1; RU-Land_2014_Lena-L14-K2; RU-Land_2014_Lena-L14-K3; RU-Land_2014_Lena-L14-K4; Sample ID; Water sample; WS; Δ14C, dissolved organic carbon; Δ14C, particulate organic carbon; Δ14C, particulate organic carbon, standard deviation; Δ14C, standard deviation; δ13C, dissolved organic carbon; δ13C, dissolved organic carbon, standard deviation; δ13C, particulate organic carbon; δ13C, particulate organic carbon, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 411 data points
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  • 9
    Publication Date: 2024-01-04
    Description: This data set consists of isotopic and molecular information obtained from samples of particulate and dissolved organic matter collected throughout the ice-free season in the Lena River Delta, supplemented with samples from Central Siberian Rivers Kochechum and Nizhnyaya Tunguska. Particulate samples were obtained by filtering water through pre-combusted glass-fibre filters, dissolved organic matter was studied in the filtrate. Molar concentration ratios of organic carbon to nitrogen in particulate samples are additionally reported as well as stable carbon isotopic composition (δ13C in ‰ VPDB) and radiocarbon content (∆14C in ‰) of particulate and dissolved organic carbon. Concentrations of long-chain n-alkanes (n-C17 to n-C33) in suspended particulate matter samples collected on glass-fibre filters in the Lena Delta. The data set also contains stable hydrogen isotopic composition (δD) of odd-chain n-alkanes n-C23 to n-C31 expressed in permille relative to VSMOW. Contents of long-chain n-alkanes (n-C17 to n-C33) in soil samples as well as particles settled from a large-volume water sample collected in the Lena Delta. The data set also contains stable hydrogen isotopic composition (δD) of odd-chain n-alkanes n-C23 to n-C31 expressed in permille relative to VSMOW.
    Keywords: Biomarkers; CARBOPERM; d13C; D14C; DOC; Formation, turnover and release of carbon in Siberian permafrost landscapes; POC
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 10
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Event label; heatflow; Heat flow; Heat-Flow probe; HF; Latitude of event; Longitude of event; M186; M186_12-1; M186_20-1; M186_26-1; M186_44-1; M186_47-1; M186_53-1; M186_66-1; M186_83-1; M186_85-1; MARUM; Meteor (1986); Sample code/label; Temperature gradient
    Type: Dataset
    Format: text/tab-separated-values, 280 data points
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  • 11
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    PANGAEA
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_20-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 1134 data points
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  • 12
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    PANGAEA
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_12-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 1512 data points
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  • 13
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    PANGAEA
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_26-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 891 data points
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  • 14
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    PANGAEA
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_47-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 946 data points
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  • 15
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    PANGAEA
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_85-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 1029 data points
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  • 16
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    PANGAEA
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_83-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 526 data points
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  • 17
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    PANGAEA
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_66-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 389 data points
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  • 18
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    PANGAEA
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_53-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 504 data points
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  • 19
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    PANGAEA
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_53-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 654 data points
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  • 20
    Publication Date: 2024-02-02
    Description: The data sets contains bulk organic data of sediment core GeoTü SL167. Total organic carbon and nitrogen measurements were carried out with an Euro EA3000 elemental analyser and δ15N measurements with a Thermo Scientific Flash EA1112 coupled to a Finnigan MAT 252 IRMS. Total organic carbon mass accumulation rates (TOC MAR) based on calculation using the organic carbon content and total mass accumulation rates. A description of the calculation of the total mass accumulations rates is given in Burdanowitz et al 2021. Gravity core GeoTü SL167, was retrieved at station no. 960 during R.V. METEOR cruise M74/1b in 2007 (Bohrmann et al., 2010) from the northwestern Arabian Sea off Oman, at 22°37.2'N, 59°41.5'E, 774 m water depth, core recovery 7.39 m. The sediment core was retrieved for the reconstruction of circulation and productivity changes in the eastern Mediterranean Sea during the late Quaternary with particular focus on changes in the Indian monsoon system.
    Keywords: Accumulation rate, total organic carbon per year; AGE; Age model; Arabian Sea; Calculated; CLICCS; Cluster of Excellence: Climate, Climatic Change, and Society; Denitrification; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; Element analyzer, Thermo Scientific, Flash EA1112; coupled with a Finnigan MAT 252 IRMS; Gravity corer (Kiel type); M74/1b; M74/1b_960-1; Meteor (1986); n-alkanes; Oman Margin; OMZ; Quaternary; SL; SL 167; δ15N; δ15N, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 1846 data points
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  • 21
    Publication Date: 2024-02-02
    Description: The age model of sediment core GeoTü SL167 is based on 14C AMS measurements of planktonic foraminifera and is calibrated with the BACON v. 2.5.6 software for R (Blaauw & Christen, 2011) and a marine reservoir age of ΔR = 93 ± 61 years. The ΔR is based on the weighted mean of two regional marine reservoir corrections (Muscat) by Southon et al. (2002) using the marine calibration database (Reimer and Reimer, 2001, http://calib.org/marine/). Gravity core GeoTü SL167, was retrieved at station no. 960 during R.V. METEOR cruise M74/1b in 2007 (Bohrmann et al., 2010) from the northwestern Arabian Sea off Oman, at 22°37.2'N, 59°41.5'E, 774 m water depth, core recovery 7.39 m. The sediment core was retrieved for the reconstruction of circulation and productivity changes in the eastern Mediterranean Sea during the late Quaternary with particular focus on changes in the Indian monsoon system.
    Keywords: Age, 14C AMS; Age, 14C calibrated, BACON v. 2.5.6 (Blaauw and Christen, 2011); Age, dated; Age, dated standard deviation; Age model; Arabian Sea; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; CLICCS; Cluster of Excellence: Climate, Climatic Change, and Society; Denitrification; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; Gravity corer (Kiel type); M74/1b; M74/1b_960-1; Meteor (1986); n-alkanes; Oman Margin; OMZ; Quaternary; SL; SL 167
    Type: Dataset
    Format: text/tab-separated-values, 147 data points
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  • 22
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220320_P6_RF01; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2203200401; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 16414 data points
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  • 23
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220401_P6_RF08; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2204011101; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 20114 data points
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  • 24
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220410_P6_RF13; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2204101601; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 20356 data points
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  • 25
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220330_P6_RF07; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2203301001; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 23834 data points
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  • 26
    Publication Date: 2024-02-03
    Description: We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).
    Keywords: Australia; cave; cave climate; Comment; Date/Time local; GIAM-9; humidity; Humidity, relative; Mullamullang Cave (front); Nullarbor Plain; Nullarbor Plain, Australia; Temperature; Temperature, air; Temperature and Humidity Data Logger, Gemini Data Loggers, Tinytag Plus 2 TGP-4500
    Type: Dataset
    Format: text/tab-separated-values, 20350 data points
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  • 27
    Publication Date: 2024-02-03
    Description: We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).
    Keywords: Abracurrie Cave; ASF-3; Australia; cave; cave climate; Comment; Date/Time local; humidity; Humidity, relative; Nullarbor Plain; Nullarbor Plain, Australia; Temperature; Temperature, air; Temperature and Humidity Data Logger, Gemini Data Loggers, Tinytag Plus 2 TGP-4500
    Type: Dataset
    Format: text/tab-separated-values, 27119 data points
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  • 28
    Publication Date: 2024-02-02
    Description: The onset of the first sustained Antarctic glaciation at the Eocene-Oligocene Transition (~34 Ma; EOT) was marked by several changes in calcareous nannofossils coinciding with long-term cooling and modifications in the sea-surface water structure. Here, we combined a high-resolution calcareous nannofossil assemblage data (%) with bulk geochemical data from IODP Site U1509 (New Caledonia Trough, Tasman Sea) in order to give an overview of the paleoclimatic and palaeoceanographic evolution of the study area.
    Keywords: 371-U1509A; Calcareous nannofossils; Calcium carbonate; DEPTH, sediment/rock; DSDP/ODP/IODP sample designation; Eocene-Oligocene Transition.; Exp371; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; IODP Depth Scale Terminology; Isotope ratio mass spectrometry; Joides Resolution; Sample code/label; Tasman Frontier Subduction Initiation and Paleogene Climate; Tasman Sea; δ13C, carbonate; δ18O, carbonate
    Type: Dataset
    Format: text/tab-separated-values, 732 data points
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  • 29
    Publication Date: 2024-02-02
    Description: The dataset contains abundances of dinoflagellate cysts (dinocysts) from sediment samples from sediment core GeoB19927-3 (73°35,26' N, 58°05,66' W) located in Southern Melville Bay (Baffin Bay). The dataset covers the depth interval between 760-0 cm top depths, corresponding to 7.7 kyrs BP – present. The core was taken at 932 meters of water depth by gravity coring during cruise MSM44 in 2015 (Dorschel et al., 2016). The core consists of 1147 cm of sediment. For dinocyst analysis, it was sub-sampled every centimetre within the top 25 cm, every 5 cm within the 25 cm to 280 cm interval and every 10 cm within the 280 cm to 760 cm interval, including 124 samples. Sample processing followed the procedure for palynological preparation described in Vernal et al. (2010). The taxonomy of dinocysts used here was based on Rochon et al. (1999) and de Vernal et al. (2020). At least 300 dinocyst specimens were counted per sample when possible. For samples with low dinocyst abundance as many specimens as possible were enumerated. In the sample with lowest dinocyst abundance, 89 specimens were counted. The chronology has been provided by Saini et al. (2020).
    Keywords: AGE; ArcTrain; Ataxiodinium choane; Baffin Bay; Bitectatodinium tepikiense; Brigantedinium spp.; Depth, sediment/rock, top/minimum; Dinoflagellate cyst; Echinidinium karaense; Echinidinium spp.; Foraminifera, linings; GC; GeoB19927-3; Gravity corer; Halodinium; Impagidinium pallidum; Islandinium minutum; Maria S. Merian; MSM44; MSM44_353-3; Nematosphaeropsis labyrinthus; Operculodinium centrocarpum; Pentapharsodinium dalei cyst; Polykrikos sp. cyst; Processes and impacts of climate change in the North Atlantic Ocean and the Canadian Arctic; Sample code/label; Selenopemphix quanta; Spiniferites elongatus; Spiniferites ramosus; Spiniferites spp.
    Type: Dataset
    Format: text/tab-separated-values, 2480 data points
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  • 30
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220328_P6_RF05; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2203280801; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 6694 data points
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  • 31
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220326_P6_RF04; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2203260702; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 11906 data points
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  • 32
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220329_P6_RF06; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2203290901; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 26012 data points
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  • 33
    Publication Date: 2024-02-03
    Description: We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).
    Keywords: Australia; cave; cave climate; Date/Time local; GIAM-12; humidity; Humidity, relative; Kelly Cave (higher passage); Nullarbor Plain; Nullarbor Plain, Australia; Temperature; Temperature, air; Temperature and Humidity Data Logger, Gemini Data Loggers, Tinytag Plus 2 TGP-4500
    Type: Dataset
    Format: text/tab-separated-values, 6822 data points
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  • 34
    Publication Date: 2024-02-03
    Description: We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).
    Keywords: ASF-5; Australia; cave; cave climate; Comment; Date/Time local; humidity; Humidity, relative; Nullarbor Plain; Nullarbor Plain, Australia; Temperature; Temperature, air; Temperature and Humidity Data Logger, Gemini Data Loggers, Tinytag Plus 2 TGP-4500; Webbs Cave (front)
    Type: Dataset
    Format: text/tab-separated-values, 27149 data points
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  • 35
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220408_P6_RF11; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2204081401; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 19026 data points
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  • 36
    Publication Date: 2024-02-03
    Description: We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).
    Keywords: ASF-1; Australia; Blowhole 6N-3372; cave; cave climate; Comment; Date/Time local; humidity; Nullarbor Plain; Nullarbor Plain, Australia; Temperature; Temperature, air; Temperature and Humidity Data Logger, Gemini Data Loggers, Tinytag Plus 2 TGP-4500
    Type: Dataset
    Format: text/tab-separated-values, 14287 data points
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  • 37
    Publication Date: 2024-02-03
    Description: We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).
    Keywords: Australia; cave; cave climate; Comment; Date/Time local; GIAM-8; humidity; Humidity, relative; Mullamullang Cave (back); Nullarbor Plain; Nullarbor Plain, Australia; Temperature; Temperature, air; Temperature and Humidity Data Logger, Gemini Data Loggers, Tinytag Plus 2 TGP-4500
    Type: Dataset
    Format: text/tab-separated-values, 20350 data points
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  • 38
    Publication Date: 2024-02-03
    Description: We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).
    Keywords: Australia; cave; cave climate; Date/Time local; GIAM-14; humidity; Humidity, relative; Kelly Cave (lower passage); Nullarbor Plain; Nullarbor Plain, Australia; Temperature; Temperature, air; Temperature and Humidity Data Logger, Gemini Data Loggers, Tinytag Plus 2 TGP-4500
    Type: Dataset
    Format: text/tab-separated-values, 6822 data points
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  • 39
    Publication Date: 2024-02-03
    Description: We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).
    Keywords: Australia; cave; cave climate; Date/Time local; GIAM-13; humidity; Humidity, relative; Kelly Cave (entrance); Nullarbor Plain; Nullarbor Plain, Australia; Temperature; Temperature, air; Temperature and Humidity Data Logger, Gemini Data Loggers, Tinytag Plus 2 TGP-4500
    Type: Dataset
    Format: text/tab-separated-values, 6822 data points
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  • 40
    Publication Date: 2024-02-03
    Description: We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).
    Keywords: ASF-4; Australia; cave; cave climate; Comment; Date/Time local; humidity; Humidity, relative; Nullarbor Plain; Nullarbor Plain, Australia; Temperature; Temperature, air; Temperature and Humidity Data Logger, Gemini Data Loggers, Tinytag Plus 2 TGP-4500; Webbs Cave (back)
    Type: Dataset
    Format: text/tab-separated-values, 27152 data points
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  • 41
    Publication Date: 2024-02-01
    Description: Marine heat flow data from RV Meteor cruise M186. The GEOMAR project name is Azores Hot Vents. We used the 6 m Bremen heat probe with 21 channels @ 0.26 m spacing.
    Keywords: Azores; Center for Marine Environmental Sciences; heatflow; MARUM
    Type: Dataset
    Format: application/zip, 10 datasets
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  • 42
    Publication Date: 2024-01-31
    Keywords: Age; AGE; Aguas_Verdes_2011; Alona quadrangularis; Alona rustica; Chydorus sphaericus; Counting 〉38 µm fraction; Daphnia pulex group; DEPTH, sediment/rock; Lake Aguas Verdes, Sierra Nevada, Spain; Sample code/label; Slide-hammer gravity corer
    Type: Dataset
    Format: text/tab-separated-values, 194 data points
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  • 43
    Publication Date: 2024-01-31
    Keywords: Age; AGE; Alona quadrangularis; Alona rustica; Borreguil_2011; Chydorus sphaericus; Counting 〉38 µm fraction; Daphnia pulex group; DEPTH, sediment/rock; Lake Borreguil, Sierra Nevada, Spain; Sample code/label; Slide-hammer gravity corer
    Type: Dataset
    Format: text/tab-separated-values, 200 data points
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  • 44
    Publication Date: 2024-02-15
    Keywords: Analytical Balance, Sartorius, A200S; followed by Calulation; Arctic; Biomarkers; DATE/TIME; DEPTH, water; HER; Herschel_Island; LATITUDE; LONGITUDE; MULT; Multiple investigations; organic carbon; Permafrost; Sample code/label; Sample ID; Sample type; sediment; Size fraction; Zone
    Type: Dataset
    Format: text/tab-separated-values, 96 data points
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  • 45
    Publication Date: 2024-02-17
    Description: Here we submitted modern core top radiolarian assemblage dataset in the Northwestern Australian Margin. The sample were collected during the German Sonne R/V Expedition SO 257. The dataset served as a calibration dataset to estimate past Summer Sea Surface Temperature (SST) of the Past using radiolarian species. We also submit herein IODP 363 Site U1483 (the Timor Sea), radiolarian assemblage data from the time interval between 500 and 1600 ka to discuss the impact of the Mid Pleistocene Transition on regional climate/ocean system such as the Indonesian Throughflow and the Australian Monsoon. For do so, we estimate the summer SST between 500 and 1600 ka relying on the SO 257 core top radiolarian assemblages.
    Keywords: Australian Monsoon Monsoon; Indonesian Throughflow; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Mid Pleistocene Transition; Radiolarians; Summer sea surface temperature
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 46
    Publication Date: 2024-03-01
    Description: The samples have been collected with R/V Polarstern during PS109 between September and October 2017. Sediment was collected with a camera-equipped MUC (TV-MUC; diameter of 93mm; circle area 0.007 m2) or with a benthic lander (dimensions 20 cmx20 cm; square area 0.04 m²), sliced into 0-5 cm and 5-10 cm layers and subsequently sieved over a 500 µm mesh. Afterwards, the samples were fixed with 4 % seawater-buffered formaldehyde in Kautex bottles at room temperature. In the lab, samples were stained with Rose Bengal and macrofauna and foraminifera individuals were identified to the lowest taxonomic level possible, and the blotted wet formalin weight of macrofauna individuals was measured with a precision balance (DeltaRange XP56 or AX205; Mettler Toledo, Ohio, USA).
    Keywords: Arctic; ARK-XXXI/4; B_LANDER; Bottom lander; Counted; Date/Time of event; Elevation of event; Event label; FRAM; FRontiers in Arctic marine Monitoring; Latitude of event; Longitude of event; Macrobenthos; Macrofauna, number of species; Method/Device of event; Multicorer with television; NEW Polynya; Northeast Water Polynya; outflow shelf; Phylum; Polarstern; Polychaeta; PS109; PS109_105-1; PS109_107-1; PS109_115-3; PS109_122-1; PS109_125-2; PS109_129-1; PS109_139-2; PS109_139-3; PS109_154-1; PS109_19-4; PS109_36-3; PS109_45-3; PS109_45-4; PS109_68-1; PS109_69-1; PS109_76-2; PS109_84-2; PS109_85-1; PS109_93-2; Sample ID; sediment; species; species composition; Species distribution; Taxon/taxa; Taxon/taxa, unique identification; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); TVMUC; Weighted; Wet mass
    Type: Dataset
    Format: text/tab-separated-values, 3947 data points
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  • 47
    Publication Date: 2024-03-01
    Description: Ex situ diffusive oxygen uptake (DOU) at the sediment water interface was assessed on the Northeast Greenland shelf with R/V Polarstern during PS109 between September and October 2017 using a camera-equipped multiple corer (TV-MUC; core area 0.007 m²). Upon arrival on deck, part of the overlying water of three MUC cores was collected and stored separately at in situ temperature. The remaining overlying water was adjusted to 10 cm above the sediment by gently pushing the sediment upwards while avoiding a disturbance of the surface sediment. The cores were then placed in a temperature-controlled water bath in the ship-board laboratory which had been adjusted to the in-situ temperature at the seafloor (information was retrieved from ship-board sensors). A mangetic stirrer was deployed in order to homogenise the overlying water, and a small air pump gently aerated the water. DOU was assessed with 2 oxygen optodes (Pyroscience, Firesting; tip size 50 µm) mounted on an autonomous microprofiler module. Each core was measured with two microprofilers simultaneously, usually within 2h of sampling (except for stations 139, 85, 84 and 76, where the measurement times were 〉24h). The sensors were two-point calibrated using on-board signals recorded in air saturated surface sea water and anoxic, dithionite-spiked bottom water at in situ temperature. Ex situ DOU fluxes across the sediment-water interface obtained were calculated from running average smoothed oxygen profiles using Fick's first law (Glud et al. (1994, doi:10.1016/0967-0637(94)90072-8).
    Keywords: ARK-XXXI/4; Comment; Date/Time of event; DOU; Elevation of event; Event label; ex situ; FRAM; FRontiers in Arctic marine Monitoring; Latitude of event; Longitude of event; Method/Device of event; microoptode; Multicorer with television; Number; Oxygen Logger (Firesting O2-C4) equipped with retractable needle type optodes (OXR50), Pyroscience, Firesting; oxygen uptake; Oxygen uptake, diffusive; Polarstern; PS109; PS109_105-1; PS109_115-3; PS109_122-1; PS109_125-2; PS109_139-2; PS109_154-1; PS109_19-4; PS109_36-3; PS109_45-3; PS109_76-1; PS109_84-2; PS109_85-1; PS109_93-3; Standard deviation; TVMUC
    Type: Dataset
    Format: text/tab-separated-values, 42 data points
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  • 48
    Publication Date: 2024-03-01
    Description: Ex situ total oxygen uptake (DOU) at the sediment water interface was assessed on the Northeast Greenland shelf with R/V Polarstern during PS109 between September and October 2017 using a camera-equipped multiple corer (TV-MUC; core area 0.007 m2). Upon arrival on deck, part of the overlying water of three MUC cores was collected and stored separately at in situ temperature. The remaining overlying water was adjusted to 10m above the sediment by gently pushing the sediment upwards by avoiding a disturbance of the surface sediment. The cores were then placed in a temperature-controlled water bath in the ship-board laboratory which had been adjusted to the in-situ temperature at the seafloor (information was retrieved from ship-board sensors). A magnetic stirrer was deployed in order to homogenise the overlying water, and a small air pump gently aerated the water. After the assessment of diffusive oxygen uptake (DOU) by microprofiling, total oxygen uptake (TOU) was measured. The air pump was removed to ensure no air bubbles in the overlying water, and the cores were closed air tight. The oxygen concentration was measured continuously in the overlying water every 60 seconds for approximately 48hours (at least 36h). Total sediment oxygen flux was determined as the decrease in oxygen concentration in the water phase, which was read from the continuous oxygen sensor data. The oxygen sensors had been two-point calibrated using oxygen-saturated water and anoxic solution of sodium dithionite. The incubation was terminated at ≤ 80% initial [O2]. TOU fluxes were calculated from the initial linear decrease in O2 concentration versus time (first 30 h) in the enclosed overlying water body (Glud et al., 1994, doi:10.1016/0967-0637(94)90072-8).
    Keywords: ARK-XXXI/4; Date/Time of event; Elevation of event; Event label; ex situ; FRAM; FRontiers in Arctic marine Monitoring; Latitude of event; Longitude of event; Multicorer with television; Oxygen Logger (Firesting O2-C4) equipped with robust oxygen optode, Pyroscience, Firesting; Oxygen uptake, total; Oxygen uptake, total, standard deviation; Polarstern; PS109; PS109_105-1; PS109_115-2; PS109_122-1; PS109_125-1; PS109_139-2; PS109_154-1; PS109_19-2; PS109_36-2; PS109_45-3; PS109_76-1; PS109_84-2; PS109_85-1; PS109_93-2; Replicates; total oxygen uptake (TOU); TVMUC
    Type: Dataset
    Format: text/tab-separated-values, 38 data points
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  • 49
    Publication Date: 2024-03-01
    Description: This data set contains airborne gravity data across central Dronning Maud Land, East Antarctica, acquired during the austral summer of 2009/2010 and within the project 'West-East Gondwana Amalgamation and its Separation' (WEGAS). The data span the offshore Astrid Ridge, and parts of the Nivl and Lazarev ice shelves. The survey was conducted using a ZLS Ultrasys Lacoste & Romberg Air/Sea gravimeter S56 installed into - and operated with - the research aircraft Polar 5. Base readings were performed with a handheld gravity meter at the base station Novolazarevskaja and in Cape Town. A ground speed of 130 knots and a time-domain filter of 220 s leads to a spatial resolution of around 7 km. The average crossover error after bias adjustment is 4.2 mGal. When citing this data set, please also cite the associated manuscript: Eisermann, H., Eagles, G. & Jokat, W. Coastal bathymetry in central Dronning Maud Land controls ice shelf stability. Sci Rep 14, 1367 (2024). https://doi.org/10.1038/s41598-024-51882-2.
    Keywords: AC; airborne gravity; Aircraft; Antarctica; Antarctica, East; Astrid Ridge; DATE/TIME; Event label; Free-air gravity anomaly; Gravity; Height; LATITUDE; Lazarev Ice Shelf; Line; LONGITUDE; Nivl Ice Shelf; PGM17 (NGA's Preliminary Geopotential Model 2017); POLAR 5; WEGAS_2009/10; WEGAS_2009/10_02; WEGAS_2009/10_03; WEGAS_2009/10_04; WEGAS_2009/10_05; WEGAS_2009/10_06; WEGAS_2009/10_07; WEGAS_2009/10_08; WEGAS_2009/10_09; WEGAS_2009/10_10; WEGAS_2009/10_11; WEGAS_2009/10_12; WEGAS_2009/10_13; WEGAS_2009/10_14; WEGAS_2009/10_16; WEGAS_2009/10_17; WEGAS_2009/10_18; WEGAS_2009/10_19; WEGAS_2009/10_20; WEGAS_2009/10_21; WEGAS offshore
    Type: Dataset
    Format: text/tab-separated-values, 128088 data points
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  • 50
    Publication Date: 2024-03-01
    Description: Attached data comprise a bathymetric model of central Dronning Maud Land, including the seabed beneath the Nivl Ice Shelf and the Lazarev Ice Shelf, as well as the offshore Astrid Ridge and adjacent parts of the Riiser-Larsen Sea. Here, this model is embedded within the larger Antarctic-wide bathymetric compilation IBCSOV2 (Dorschel et al., 2022). This is an addition to the stand-alone bathymetric model here: https://doi.org/10.1594/PANGAEA.961492. The embedded model gives seabed depths relative to WGS84 at a resolution of 2.5 km. It is generated by complementing existing topographic data sets - such as seismic data, ice penetrating radar data, and shipborne hydroacoustic data - with the inversion of airborne gravity data towards bathymetry. The airborne gravity data used for the inversion consist of data acquired during aerogeophysical campaigns VISA from the early 2000s and WEGAS from the austral summer of 2009/2010. When citing this model, please also cite the associated manuscript: Eisermann, H., Eagles, G. & Jokat, W. Coastal bathymetry in central Dronning Maud Land controls ice shelf stability. Sci Rep 14, 1367 (2024). https://doi.org/10.1038/s41598-024-51882-2.
    Keywords: Antarctica; Bathymetry; BathymetryModel_cDronningMaudLan; Bed elevation; Coordinate, x, relative; Coordinate, y, relative; Dronning Maud Land; Dronning Maud Land, Antarctica; gravity inversion; LATITUDE; Lazarev Ice Shelf; LONGITUDE; Model; Nivl Ice Shelf; water column
    Type: Dataset
    Format: text/tab-separated-values, 206742 data points
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  • 51
    Publication Date: 2024-03-05
    Description: These datasets originate from the gravity core MSM12/2-05-01 (57.538500, -48.738700, recovery 1494 cm, 3492 m water depth) taken during R/V Maria S. Merian cruise MSM12/2 in 2009 in the eastern Labrador Sea (Eirik Drift). These datasets show the history of sea surface characteristics in the Labrador Sea and the surrounding ice sheet activities, representing the last 50 ka. The XRF, biomarker, and planktic/benthic foraminifer data document the outstanding collapse of the Laurentide Ice Sheet/iceberg discharge during Heinrich Events (i.e., HE5, HE4, HE2, and HE1) and the occurrence of meltwater plumes from the Greenland Ice Sheet and/or Laurentide Ice Sheet during the last deglaciation. Such meltwater discharges have caused surface freshening in the Labrador Sea and, consequently, decreased sea surface temperatures and phytoplankton production. Enhanced Irminger Current inflow might have caused (sub-)surface warming in the Labrador Sea and triggered the retreat of ice sheets/meltwater discharge. In contrast to relatively low open-water productivity during the glacial period, the Last Glacial Maximum was characterized by increased sea ice algae and phytoplankton production, suggesting the presence of a polynya in front of the southern Greenland Ice Sheet.
    Keywords: Biomarkers; Coarse fraction; Foraminifera; Ice Sheet; Irminger Current; Labrador Sea; Sea surface; XRF
    Type: Dataset
    Format: application/zip, 10 datasets
    Location Call Number Expected Availability
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  • 52
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; Snow height; solar radiation; Tilt angle, X; Tilt angle, Y
    Type: Dataset
    Format: text/tab-separated-values, 29044 data points
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  • 53
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, difference
    Type: Dataset
    Format: text/tab-separated-values, 89452 data points
    Location Call Number Expected Availability
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  • 54
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, difference
    Type: Dataset
    Format: text/tab-separated-values, 89452 data points
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  • 55
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, difference
    Type: Dataset
    Format: text/tab-separated-values, 89452 data points
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  • 56
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, difference
    Type: Dataset
    Format: text/tab-separated-values, 36366 data points
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  • 57
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, difference
    Type: Dataset
    Format: text/tab-separated-values, 53713 data points
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  • 58
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, technical
    Type: Dataset
    Format: text/tab-separated-values, 253099 data points
    Location Call Number Expected Availability
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  • 59
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; Calculated; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, sun elevation; Sea Ice Physics @ AWI; snow depth; solar radiation; Transmittance; Transmittance, photosynthetically active; Transmittance at 320 nm; Transmittance at 321 nm; Transmittance at 322 nm; Transmittance at 323 nm; Transmittance at 324 nm; Transmittance at 325 nm; Transmittance at 326 nm; Transmittance at 327 nm; Transmittance at 328 nm; Transmittance at 329 nm; Transmittance at 330 nm; Transmittance at 331 nm; Transmittance at 332 nm; Transmittance at 333 nm; Transmittance at 334 nm; Transmittance at 335 nm; Transmittance at 336 nm; Transmittance at 337 nm; Transmittance at 338 nm; Transmittance at 339 nm; Transmittance at 340 nm; Transmittance at 341 nm; Transmittance at 342 nm; Transmittance at 343 nm; Transmittance at 344 nm; Transmittance at 345 nm; Transmittance at 346 nm; Transmittance at 347 nm; Transmittance at 348 nm; Transmittance at 349 nm; Transmittance at 350 nm; Transmittance at 351 nm; Transmittance at 352 nm; Transmittance at 353 nm; Transmittance at 354 nm; Transmittance at 355 nm; Transmittance at 356 nm; Transmittance at 357 nm; Transmittance at 358 nm; Transmittance at 359 nm; Transmittance at 360 nm; Transmittance at 361 nm; Transmittance at 362 nm; Transmittance at 363 nm; Transmittance at 364 nm; Transmittance at 365 nm; Transmittance at 366 nm; Transmittance at 367 nm; Transmittance at 368 nm; Transmittance at 369 nm; Transmittance at 370 nm; Transmittance at 371 nm; Transmittance at 372 nm; Transmittance at 373 nm; Transmittance at 374 nm; Transmittance at 375 nm; Transmittance at 376 nm; Transmittance at 377 nm; Transmittance at 378 nm; Transmittance at 379 nm; Transmittance at 380 nm; Transmittance at 381 nm; Transmittance at 382 nm; Transmittance at 383 nm; Transmittance at 384 nm; Transmittance at 385 nm; Transmittance at 386 nm; Transmittance at 387 nm; Transmittance at 388 nm; Transmittance at 389 nm; Transmittance at 390 nm; Transmittance at 391 nm; Transmittance at 392 nm; Transmittance at 393 nm; Transmittance at 394 nm; Transmittance at 395 nm; Transmittance at 396 nm; Transmittance at 397 nm; Transmittance at 398 nm; Transmittance at 399 nm; Transmittance at 400 nm; Transmittance at 401 nm; Transmittance at 402 nm; Transmittance at 403 nm; Transmittance at 404 nm; Transmittance at 405 nm; Transmittance at 406 nm; Transmittance at 407 nm; Transmittance at 408 nm; Transmittance at 409 nm; Transmittance at 410 nm; Transmittance at 411 nm; Transmittance at 412 nm; Transmittance at 413 nm; Transmittance at 414 nm; Transmittance at 415 nm; Transmittance at 416 nm; Transmittance at 417 nm; Transmittance at 418 nm; Transmittance at 419 nm; Transmittance at 420 nm; Transmittance at 421 nm; Transmittance at 422 nm; Transmittance at 423 nm; Transmittance at 424 nm; Transmittance at 425 nm; Transmittance at 426 nm; Transmittance at 427 nm; Transmittance at 428 nm; Transmittance at 429 nm; Transmittance at 430 nm; Transmittance at 431 nm; Transmittance at 432 nm; Transmittance at 433 nm; Transmittance at 434 nm; Transmittance at 435 nm; Transmittance at 436 nm; Transmittance at 437 nm; Transmittance at 438 nm; Transmittance at 439 nm; Transmittance at 440 nm; Transmittance at 441 nm; Transmittance at 442 nm; Transmittance at 443 nm; Transmittance at 444 nm; Transmittance at 445 nm; Transmittance at 446 nm; Transmittance at 447 nm; Transmittance at 448 nm; Transmittance at 449 nm; Transmittance at 450 nm; Transmittance at 451 nm; Transmittance at 452 nm; Transmittance at 453 nm; Transmittance at 454 nm; Transmittance at 455 nm; Transmittance at 456 nm; Transmittance at 457 nm; Transmittance at 458 nm; Transmittance at 459 nm; Transmittance at 460 nm; Transmittance at 461 nm; Transmittance at 462 nm; Transmittance at 463 nm; Transmittance at 464 nm; Transmittance at 465 nm; Transmittance at 466 nm; Transmittance at 467 nm; Transmittance at 468 nm; Transmittance at 469 nm; Transmittance at 470 nm; Transmittance at 471 nm; Transmittance at 472 nm; Transmittance at 473 nm; Transmittance at 474 nm; Transmittance at 475 nm; Transmittance at 476 nm; Transmittance at 477 nm; Transmittance at 478 nm; Transmittance at 479 nm; Transmittance at 480 nm; Transmittance at 481 nm; Transmittance at 482 nm; Transmittance at 483 nm; Transmittance at 484 nm; Transmittance at 485 nm; Transmittance at 486 nm; Transmittance at 487 nm; Transmittance at 488 nm; Transmittance at 489 nm; Transmittance at 490 nm; Transmittance at 491 nm; Transmittance at 492 nm; Transmittance at 493 nm; Transmittance at 494 nm; Transmittance at 495 nm; Transmittance at 496 nm; Transmittance at 497 nm; Transmittance at 498 nm; Transmittance at 499 nm; Transmittance at 500 nm; Transmittance at 501 nm; Transmittance at 502 nm; Transmittance at 503 nm; Transmittance at 504 nm; Transmittance at 505 nm; Transmittance at 506 nm; Transmittance at 507 nm; Transmittance at 508 nm; Transmittance at 509 nm; Transmittance at 510 nm; Transmittance at 511 nm; Transmittance at 512 nm; Transmittance at 513 nm; Transmittance at 514 nm; Transmittance at 515 nm; Transmittance at 516 nm; Transmittance at 517 nm; Transmittance at 518 nm; Transmittance at 519 nm; Transmittance at 520 nm; Transmittance at 521 nm; Transmittance at 522 nm; Transmittance at 523 nm; Transmittance at 524 nm; Transmittance at 525 nm; Transmittance at 526 nm; Transmittance at 527 nm; Transmittance at 528 nm; Transmittance at 529 nm; Transmittance at 530 nm; Transmittance at 531 nm; Transmittance at 532 nm; Transmittance at 533 nm; Transmittance at 534 nm; Transmittance at 535 nm; Transmittance at 536 nm; Transmittance at 537 nm; Transmittance at 538 nm; Transmittance at 539 nm; Transmittance at 540 nm; Transmittance at 541 nm; Transmittance at 542 nm; Transmittance at 543 nm; Transmittance at 544 nm; Transmittance at 545 nm; Transmittance at 546 nm; Transmittance at 547 nm; Transmittance at 548 nm; Transmittance at 549 nm; Transmittance at 550 nm; Transmittance at 551 nm; Transmittance at 552 nm; Transmittance at 553 nm; Transmittance at 554 nm; Transmittance at 555 nm; Transmittance at 556 nm; Transmittance at 557 nm; Transmittance at 558 nm; Transmittance at 559 nm; Transmittance at 560 nm; Transmittance at 561 nm; Transmittance at 562 nm; Transmittance at 563 nm; Transmittance at 564 nm; Transmittance at 565 nm; Transmittance at 566 nm; Transmittance at 567 nm; Transmittance at 568 nm; Transmittance at 569 nm; Transmittance at 570 nm; Transmittance at 571 nm; Transmittance at 572 nm; Transmittance at 573 nm; Transmittance at 574 nm; Transmittance at 575 nm; Transmittance at 576 nm; Transmittance at 577 nm; Transmittance at 578 nm; Transmittance at 579 nm; Transmittance at 580 nm; Transmittance at 581 nm; Transmittance at 582 nm; Transmittance at 583 nm; Transmittance at 584 nm; Transmittance at 585 nm; Transmittance at 586 nm; Transmittance at 587 nm; Transmittance at 588 nm; Transmittance at 589 nm; Transmittance at 590 nm; Transmittance at 591 nm; Transmittance at 592 nm; Transmittance at 593 nm; Transmittance at 594 nm; Transmittance at 595 nm; Transmittance at 596 nm; Transmittance at 597 nm; Transmittance at 598 nm; Transmittance at 599 nm; Transmittance at 600 nm; Transmittance at 601 nm; Transmittance at 602 nm; Transmittance at 603 nm; Transmittance at 604 nm; Transmittance at 605 nm; Transmittance at 606 nm; Transmittance at 607 nm; Transmittance at 608 nm; Transmittance at 609 nm; Transmittance at 610 nm; Transmittance at 611 nm; Transmittance at 612 nm; Transmittance at 613 nm; Transmittance at 614 nm; Transmittance at 615 nm; Transmittance
    Type: Dataset
    Format: text/tab-separated-values, 738492 data points
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  • 60
    Publication Date: 2024-03-05
    Keywords: 138-846B; 138-846C; AGE; Alkenone; Aluminium oxide; Barium sulfate; Calcium carbonate; Calibrated after Weltje & Tjallingi (2008); Date/Time of event; Depth, composite; DRILL; Drilling/drill rig; Eastern Equatorial Pacific; Event label; Iron oxide, Fe2O3; Joides Resolution; Latitude of event; Leg138; Longitude of event; Manganese oxide; ODP Site 846; Sample code/label; Sea surface temperature; Silicon dioxide; South Pacific Ocean; Titanium dioxide
    Type: Dataset
    Format: text/tab-separated-values, 75384 data points
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  • 61
    Publication Date: 2024-03-05
    Keywords: AGE; Biomarkers; Carbon, inorganic, total; Carbon, organic, total; Coarse fraction; DEPTH, sediment/rock; Element analyser CHN, LECO; Foraminifera; GC; Gravity corer; Ice Sheet; Irminger Current; Labrador Sea; Maria S. Merian; MSM12/2; MSM12/2_647-1; MSM12/2-05-01; Sea surface; XRF
    Type: Dataset
    Format: text/tab-separated-values, 406 data points
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  • 62
    Publication Date: 2024-03-05
    Description: This dataset includes the IRD concentration of Core MSM12/2-05-01 from the eastern Labrador Sea. Here, we show the record representing the last 50 ka. IRD concentration is used for iceberg discharge.
    Keywords: AGE; Biomarkers; Calculated; Coarse fraction; DEPTH, sediment/rock; Foraminifera; GC; Gravity corer; Ice rafted debris; Ice Sheet; Irminger Current; Labrador Sea; Maria S. Merian; MSM12/2; MSM12/2_647-1; MSM12/2-05-01; Sea surface; XRF
    Type: Dataset
    Format: text/tab-separated-values, 101 data points
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  • 63
    Publication Date: 2024-03-05
    Keywords: Amundsen Sea; Antarctica; Chlorite; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; Elevation of event; Event label; Glaciomarine; Illite; KAL; Kaolinite; Kasten corer; Latitude of event; Longitude of event; Marine Sediment Core; Nathaniel B. Palmer; NBP19-02; NBP19-02_KC04; NBP19-02_KC15; NBP19-02_KC19; Smectite; Thwaites Glacier; X-ray diffraction (XRD)
    Type: Dataset
    Format: text/tab-separated-values, 258 data points
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  • 64
    Publication Date: 2024-03-05
    Description: This dataset includes concentration and accumulation rates of highly branched isoprenoid and sterols of Core MSM12/2-05-01 from the eastern Labrador Sea. Here, we show the records representing the last 50 ka. IP25 indicates sea ice algae production. Dinosterol and brassicasterol indicate open-water phytoplankton productivity.
    Keywords: 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane, per unit mass total organic carbon; 24-Methylcholesta-5,22E-dien-3beta-ol, per unit mass total organic carbon; 4alpha,23,24-Trimethyl-5alpha-cholest-22E-en-3beta-ol, per unit mass total organic carbon; Accumulation rate, 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane; Accumulation rate, 24-Methylcholesta-5,22E-dien-3beta-ol; Accumulation rate, 4alpha,23,24-Trimethyl-5alpha-cholest-22E-en-3beta-ol; AGE; Biomarkers; Calculated; Coarse fraction; DEPTH, sediment/rock; Foraminifera; Gas chromatography - Mass spectrometry (GC-MS); GC; Gravity corer; Ice Sheet; Irminger Current; Labrador Sea; Maria S. Merian; MSM12/2; MSM12/2_647-1; MSM12/2-05-01; Sea surface; XRF
    Type: Dataset
    Format: text/tab-separated-values, 1161 data points
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  • 65
    Publication Date: 2024-03-05
    Keywords: 138-846; A205402GC; A210804; Alkenone; Argo; BC; Box corer; COMPCORE; Composite Core; Core; CORE; core top; DEPTH, sediment/rock; DWBG-143; DWBG-144; Eastern Equatorial Pacific; Equatorial East Pacific; Event label; GC; Gravity corer; Hakuho-Maru; HY06; Joides Resolution; KH-03-1; Knorr; KNR073-04-003; KNR073-04-008; KNR073-04-009; KNR073-04-010; KNR182-9; KNR182-9-MC15; KNR195-05-005-10-GGC; KNR195-05-14-35-GGC; KNR195-05-GGC005-10; KNR195-05-GGC14-35; KNR195-5; KNR195-5-MC12; KNR195-5-MC18; KNR195-5-MC22; KNR195-5-MC25; KNR195-5-MC33; KNR195-5-MC34; KNR733P; KNR73-4GC-008; KNR73-4GC-009; KNR73-4GC-010; Latitude of event; Leg138; Literature based; Longitude of event; ME0005A; ME0005A-25MC5; Melville; MODIS; MUC; MultiCorer; NEMO; P6702-11G; P6702-52G; Pacific Ocean; PC; Piston corer; PLDS-068BX; PLDS-070BX; PLDS-072BX; PLDS-074BX; PLDS-077BX; PLDS-090BX; PLDS-3; Pleiades; RC11; RC1112; RC11-238; RC13; RC13-108; Reference/source; Robert Conrad; Sample ID; SCAN; SCAN-095G; Sea surface temperature; South Pacific Ocean; SST; Thomas Washington; TR163-22; TR163-31; Uniform resource locator/link to reference; V19; V19-28; V19-30; V21; V21-30; Vema; VNTR01; VNTR01-10GC; VNTR01-13GC; VNTR01-9PC; Y69-71P; YALOC69; Yaquina
    Type: Dataset
    Format: text/tab-separated-values, 210 data points
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  • 66
    Publication Date: 2024-03-05
    Keywords: 138-846; A205402GC; A210804; Alkenone; Argo; BC; Box corer; Calculated; Chlorophyll, logarithm; Chlorophyll total; COMPCORE; Composite Core; Core; CORE; core top; DEPTH, sediment/rock; DWBG-143; DWBG-144; Eastern Equatorial Pacific; Equatorial East Pacific; Event label; GC; Gravity corer; Hakuho-Maru; HY06; Joides Resolution; KH-03-1; Knorr; KNR073-04-003; KNR073-04-008; KNR073-04-009; KNR073-04-010; KNR182-9; KNR182-9-MC15; KNR195-05-005-10-GGC; KNR195-05-14-35-GGC; KNR195-05-GGC005-10; KNR195-05-GGC14-35; KNR195-5; KNR195-5-MC12; KNR195-5-MC18; KNR195-5-MC22; KNR195-5-MC25; KNR195-5-MC33; KNR195-5-MC34; KNR733P; KNR73-4GC-008; KNR73-4GC-009; KNR73-4GC-010; Latitude of event; Leg138; Literature based; Longitude of event; ME0005A; ME0005A-25MC5; Melville; MODIS; MUC; MultiCorer; NEMO; P6702-11G; P6702-52G; Pacific Ocean; PC; Piston corer; PLDS-068BX; PLDS-070BX; PLDS-072BX; PLDS-074BX; PLDS-077BX; PLDS-090BX; PLDS-3; Pleiades; RC11; RC1112; RC11-238; RC13; RC13-108; Reference/source; Robert Conrad; Sample ID; SCAN; SCAN-095G; Sea surface temperature; South Pacific Ocean; SST; Thomas Washington; TR163-22; TR163-31; Uniform resource locator/link to reference; V19; V19-28; V19-30; V21; V21-30; Vema; VNTR01; VNTR01-10GC; VNTR01-13GC; VNTR01-9PC; Y69-71P; YALOC69; Yaquina
    Type: Dataset
    Format: text/tab-separated-values, 210 data points
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  • 67
    Publication Date: 2024-03-05
    Keywords: 138-846; A205402GC; A210804; Alkenone; Alkenone, C37 per unit sediment mass; Argo; BC; Box corer; COMPCORE; Composite Core; Core; CORE; core top; DEPTH, sediment/rock; DWBG-143; DWBG-144; Eastern Equatorial Pacific; Equatorial East Pacific; Event label; GC; Gravity corer; Hakuho-Maru; HY06; Joides Resolution; KH-03-1; Knorr; KNR073-04-003; KNR073-04-008; KNR073-04-009; KNR073-04-010; KNR182-9; KNR182-9-MC15; KNR195-05-005-10-GGC; KNR195-05-14-35-GGC; KNR195-05-GGC005-10; KNR195-05-GGC14-35; KNR195-5; KNR195-5-MC12; KNR195-5-MC18; KNR195-5-MC22; KNR195-5-MC25; KNR195-5-MC33; KNR195-5-MC34; KNR733P; KNR73-4GC-008; KNR73-4GC-009; KNR73-4GC-010; Latitude of event; Leg138; Literature based; Longitude of event; ME0005A; ME0005A-25MC5; Melville; MODIS; MUC; MultiCorer; NEMO; P6702-11G; P6702-52G; Pacific Ocean; PC; Piston corer; PLDS-068BX; PLDS-070BX; PLDS-072BX; PLDS-074BX; PLDS-077BX; PLDS-090BX; PLDS-3; Pleiades; RC11; RC1112; RC11-238; RC13; RC13-108; Reference/source; Robert Conrad; Sample ID; SCAN; SCAN-095G; Sea surface temperature; South Pacific Ocean; SST; Thomas Washington; TR163-22; TR163-31; Uniform resource locator/link to reference; V19; V19-28; V19-30; V21; V21-30; Vema; VNTR01; VNTR01-10GC; VNTR01-13GC; VNTR01-9PC; Y69-71P; YALOC69; Yaquina
    Type: Dataset
    Format: text/tab-separated-values, 147 data points
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  • 68
    Publication Date: 2024-03-05
    Keywords: 138-846; A205402GC; A210804; Alkenone; Argo; BC; Box corer; Coccolithaceae, biomass; COMPCORE; Composite Core; Core; CORE; core top; DEPTH, sediment/rock; DWBG-143; DWBG-144; Eastern Equatorial Pacific; Equatorial East Pacific; Event label; GC; Gravity corer; Hakuho-Maru; HY06; Joides Resolution; KH-03-1; Knorr; KNR073-04-003; KNR073-04-008; KNR073-04-009; KNR073-04-010; KNR182-9; KNR182-9-MC15; KNR195-05-005-10-GGC; KNR195-05-14-35-GGC; KNR195-05-GGC005-10; KNR195-05-GGC14-35; KNR195-5; KNR195-5-MC12; KNR195-5-MC18; KNR195-5-MC22; KNR195-5-MC25; KNR195-5-MC33; KNR195-5-MC34; KNR733P; KNR73-4GC-008; KNR73-4GC-009; KNR73-4GC-010; Latitude of event; Leg138; Literature based; Longitude of event; ME0005A; ME0005A-25MC5; Melville; MODIS; MUC; MultiCorer; NEMO; P6702-11G; P6702-52G; Pacific Ocean; PC; Piston corer; PLDS-068BX; PLDS-070BX; PLDS-072BX; PLDS-074BX; PLDS-077BX; PLDS-090BX; PLDS-3; Pleiades; RC11; RC1112; RC11-238; RC13; RC13-108; Reference/source; Robert Conrad; Sample ID; SCAN; SCAN-095G; Sea surface temperature; South Pacific Ocean; SST; Thomas Washington; TR163-22; TR163-31; Uniform resource locator/link to reference; V19; V19-28; V19-30; V21; V21-30; Vema; VNTR01; VNTR01-10GC; VNTR01-13GC; VNTR01-9PC; Y69-71P; YALOC69; Yaquina
    Type: Dataset
    Format: text/tab-separated-values, 166 data points
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  • 69
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; Pressure, water; PS122/1_1-167, 2019R8; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 108915 data points
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  • 70
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, difference
    Type: Dataset
    Format: text/tab-separated-values, 90079 data points
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  • 71
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, difference
    Type: Dataset
    Format: text/tab-separated-values, 53713 data points
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  • 72
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, difference
    Type: Dataset
    Format: text/tab-separated-values, 36366 data points
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  • 73
    Publication Date: 2024-03-05
    Keywords: 138-846; According to Herbert et al. (2021); Accumulation rate, alkenone C37; AGE; Alkenone; Alkenone, C37, logarithm; Calculated; COMPCORE; Composite Core; Eastern Equatorial Pacific; Joides Resolution; Leg138; ODP Site 846; Sea surface temperature; South Pacific Ocean
    Type: Dataset
    Format: text/tab-separated-values, 1056 data points
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  • 74
    Publication Date: 2024-03-05
    Keywords: 138-849; According to Herbert et al. (2021); Accumulation rate, alkenone C37; AGE; Alkenone; Alkenone, C37, logarithm; Calculated; COMPCORE; Composite Core; Eastern Equatorial Pacific; Joides Resolution; Leg138; North Pacific Ocean; ODP Site 846; Sea surface temperature
    Type: Dataset
    Format: text/tab-separated-values, 388 data points
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  • 75
    Publication Date: 2024-03-05
    Keywords: 321-U1338; According to Herbert et al. (2021); Accumulation rate, alkenone C37; AGE; Alkenone; Alkenone, C37, logarithm; Calculated; COMPCORE; Composite Core; Eastern Equatorial Pacific; Exp321; Joides Resolution; ODP Site 846; Pacific Equatorial Age Transect II / Juan de Fuca; Sea surface temperature
    Type: Dataset
    Format: text/tab-separated-values, 422 data points
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  • 76
    Publication Date: 2024-03-05
    Description: This dataset includes XRD (Dolomite) contents of Core MSM12/2-05-01 from the eastern Labrador Sea, indicating detrital carbonate from the Laurentide Ice Sheet.
    Keywords: AGE; Biomarkers; Coarse fraction; DEPTH, sediment/rock; Dolomite; Foraminifera; GC; Gravity corer; Ice Sheet; Irminger Current; Labrador Sea; Maria S. Merian; MSM12/2; MSM12/2_647-1; MSM12/2-05-01; Sea surface; X-ray diffraction (XRD); XRF
    Type: Dataset
    Format: text/tab-separated-values, 28 data points
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  • 77
    Publication Date: 2024-02-29
    Description: Surveys of seagrass associated fisheries were conducted as part of a large-scale seagrass ecosystem services assessment conducted across five countries: Malaysia, Indonesia, Thailand, Philippines and Timor-Leste under the International Climate Initiative (IKI): Seagrass Ecosystem Services Project (https://www.dugongseagrass.org/projects/seagrass-ecosystem-services-project/). To survey seagrass-associated biodiversity, data collectors used Baited Remote Underwater Video systems (BRUVS) and footage was analysed by an observer, trained in fish identification, for relative abundance (MaxN) and species richness between July 2022 – June 2023. A total of 325 hours were collected from seagrass meadows across the Indo-Pacific, with depth ranges of 0.5 – 8.4 metres. Data points were selected by local NGO's and/or community members, and placed a minimum of 50m apart.
    Keywords: Ablennes hians; Abudefduf sexfasciatus; Abudefduf vaigiensis; Acanthochromis polyacanthus; Acanthurus bahianus; Acanthurus nigricaudus; Acanthurus thompsoni; Acanthurus triostegus; Acentrogobius caninus; Acreichthys tomentosus; Aeoliscus strigatus; Alepes apercna; Alepes melanoptera; Aluterus scriptus; Amanses scopas; Ambassis gymnocephalus; Amblyglyphidodon curacao; Amblyglyphidodon ternatensis; Amblygobius buanensis; Amblygobius sphynx; Amphiprion clarkii; Amphiprion polymnus; Anampses caeruleopunctatus; Anampses melanurus; Aphareus rutilans; Apogon endekataenia; Apogon kallopterus; Apogon trimaculatus; Archamia bleekeri; Area/locality; Arius maculatus; Arothron hispidus; Arothron immaculatus; Arothron manilensis; Arothron reticularis; Arothron stellatus; Aspidontus taeniatus; Asterropteryx striata; Atherinomorus lacunosus; Atule mate; Aulostomus chinensis; Aulostomus strigosus; Balistapus undulatus; Bodianus bilunulatus; BRUV; Calotomus carolinus; Calotomus spinidens; Calotomus viridescens; Cantherhines dumerilii; Cantherhines pardalis; Cantheschenia grandisquamis; Canthigaster bennetti; Canthigaster coronata; Canthigaster valentini; Carangoides orthogrammus; Carangoides praeustus; Caranx ignobilis; Caranx melampygus; Caranx sexfasciatus; Centropyge bicolor; Centropyge flavipectoralis; Centropyge vrolikii; Cephalopholis cyanostigma; Chaetodon auriga; Chaetodon kleinii; Chaetodon lunulatus; Chaetodon melannotus; Chaetodon trifascialis; Chaetodon vagabundus; Cheilinus chlorourus; Cheilinus trilobatus; Cheilodipterus artus; Cheilodipterus macrodon; Cheilodipterus parazonatus; Cheilodipterus quinquelineatus; Chelio inermis; Chelonodon patoca; Choerodon anchorago; Choerodon jordani; Chromis notata; Chromis viridis; Chrysiptera cymatilis; Chrysiptera tricincta; Cirrhilabrus condei; Cirrhilabrus temmincki; Cloud cover; Colurodontis paxmani; Comment; Coris gaimard; Coris pictoides; Country; Crenimugil crenilabis; Cryptocentrus cinctus; Cryptocentrus sericus; Ctenochaetus flavicauda; Ctenochaetus striatus; Dascyllus aruanus; Dascyllus reticulatus; Dascyllus trimaculatus; Data source; DATE/TIME; DEPTH, water; Dexillichthys aspilos; Dexillus muelleri; Diagramma pictum; Diodon holocanthus; Diodon hystrix; Diproctacanthus xanthurus; Dischistodus chrysopoecilus; Dischistodus fasciatus; Dischistodus perspicillatus; Dischistodus prosopotaenia; Dischistodus pseudochrysopoecilus; Echeneis naucrates; Echidna nebulosa; Epinephelus amblycephalus; Epinephelus areolatus; Epinephelus bleekeri; Epinephelus merra; Epinephelus rivulatus; Epinephelus sexfasciatus; Epinephelus stictus; Eubalichthys caeruleoguttatus; Event label; Eviota bifasciata; Fishing intensity; Fistularia commersonii; Gerres argyreus; Gerres erythrourus; Gerres filamentosus; Gerres oyena; Gnathanodon speciosus; GPS, Garmin, GPSMAP 79s; Gunnelichthys curiosus; Gymnocaesio gymnopterus; Gymnocranius elongatus; Gymnocranius euanus; Gymnocranius grandoculis; Gymnosarda unicolor; Gymnothorax albimarginatus; Gymnothorax buroensis; Gymnothorax cribroris; Gymnothorax flavimarginatus; Gymnothorax tile; Gymnothorax undulatus; Halicampus grayi; Halichoeres argus; Halichoeres chloropterus; Halichoeres chrysotaenia; Halichoeres chrysus; Halichoeres marginatus; Halichoeres melanochir; Halichoeres melanurus; Halichoeres pallidus; Halichoeres papilionaceus; Halichoeres scapularis; Halichoeres schwartzii; Halichoeres trimaculatus; Hemigymnus melapterus; Hemiramphus brasiliensis; Heniochus acuminatus; Heniochus diphreutes; Hexanematichthys sagor; Hipposcarus longiceps; Hologymnosus annulatus; Hoplolatilus cuniculus; Hypoatherina barnesi; Hyporhamphus limbatus; ID_Ba_1; ID_Ba_10; ID_Ba_11; ID_Ba_12; ID_Ba_13; ID_Ba_14; ID_Ba_15; ID_Ba_16; ID_Ba_17; ID_Ba_18; ID_Ba_19; ID_Ba_2; ID_Ba_20; ID_Ba_21; ID_Ba_22; ID_Ba_3; ID_Ba_4; ID_Ba_5; ID_Ba_6; ID_Ba_7; ID_Ba_9; ID_Bu_1; ID_Bu_10; ID_Bu_11; ID_Bu_12; ID_Bu_13; ID_Bu_14; ID_Bu_15; ID_Bu_16; ID_Bu_17; ID_Bu_18; ID_Bu_19; ID_Bu_2; ID_Bu_20; ID_Bu_21; ID_Bu_22; ID_Bu_23; ID_Bu_24; ID_Bu_3; ID_Bu_4; ID_Bu_5; ID_Bu_6; ID_Bu_7; ID_Bu_8; ID_Bu_9; ID_Ta_1; ID_Ta_11; ID_Ta_12; ID_Ta_13; ID_Ta_14; ID_Ta_15; ID_Ta_16; ID_Ta_17; ID_Ta_18; ID_Ta_19; ID_Ta_20; ID_Ta_21; ID_Ta_22; ID_Ta_23; ID_Ta_24; ID_Ta_4; ID_Ta_5; ID_Ta_6; ID_Ta_7; ID_Ta_8; ID_Ta_9; Identification; Indonesia; Indo-Pacific; Istiblennius lineatus; Kaupichthys brachychirus; Labroides bicolor; Labroides dimidiatus; Lagocephalus spadiceus; Lagocephalus suezensis; LATITUDE; Leptojulis cyanopleura; Leptoscarus vaigiensis; Lethrinus atkinsoni; Lethrinus erythropterus; Lethrinus genivittatus; Lethrinus harak; Lethrinus lentjan; Lethrinus microdon; Lethrinus obsoletus; Lethrinus olivacelus; Lethrinus ornatus; lethrinus ravus; Lethrinus rubrioperculatus; Lethrinus semicinctus; Lethrinus variegatus; Liza vaigiensis; LONGITUDE; Lutjanus bohar; Lutjanus carponotatus; Lutjanus ehrenbergii; Lutjanus fulviflamma; Lutjanus fulvus; Lutjanus gibbus; Lutjanus lemniscatus; Lutjanus maxweberi; Lutjanus russelli; Lutjanus vitta; Macropharyngodon negrosensis; Macrorhamphosodes platycheilus; Malacanthus brevirostris; Malaysia; Megalaspis cordyla; Megalops cyprinoides; Meiacanthus abruptus; Meiacanthus grammistes; Monacanthus chinensis; Monodactylus argenteus; Monotaxis heterodon; Mulloidichthys flavolineatus; Mulloidichthys vanicolensis; MULT; Multiple investigations; MY_Set_1; MY_Set_10; MY_Set_11; MY_Set_12; MY_Set_13; MY_Set_14; MY_Set_15; MY_Set_16; MY_Set_17; MY_Set_18; MY_Set_19; MY_Set_2; MY_Set_20; MY_Set_21; MY_Set_3; MY_Set_4; MY_Set_5; MY_Set_6; MY_Set_7; MY_Set_8; MY_Set_9; MY_Sibu_1; MY_Sibu_10; MY_Sibu_11; MY_Sibu_12; MY_Sibu_2; MY_Sibu_3; MY_Sibu_4; MY_Sibu_5; MY_Sibu_6; MY_Sibu_7; MY_Sibu_8; MY_Sibu_9; MY_Ting_1; MY_Ting_10; MY_Ting_11; MY_Ting_12; MY_Ting_13; MY_Ting_14; MY_Ting_15; MY_Ting_16; MY_Ting_17; MY_Ting_18; MY_Ting_19; MY_Ting_2; MY_Ting_20; MY_Ting_21; MY_Ting_22; MY_Ting_23; MY_Ting_24; MY_Ting_3; MY_Ting_4; MY_Ting_5; MY_Ting_6; MY_Ting_7; MY_Ting_8; MY_Ting_9; Myrichthys colubrinus; Myrichthys maculosus; Naso thynnoides; Naso unicornis; Nemipterus furcosus; Nemipterus nematophorus; Neoglyphidodon melas; Neomyxus leuciscus; Novaculichthys macrolepidotus; Novaculichthys taeniourus; Novaculoides macrolepidotus; Ostorhinchus angustatus; Ostorhinchus cavitensis; Ostorhinchus fasciatus; Ostorhinchus margaritophorus; Ostorhinchus nigrofasciatus; Ostorhinchus taeniophorus; Oxycheilinus bimaculatus; Parachaetodon ocellatus; Paramonacanthus curtorhynchos; Paramonacanthus japonicus; Paramonacanthus tricuspis; Parapercis cylindrica; Parapercis diplospilus; Parapercis lineopunctata; Parapercis snyderi; Parapercis tetracantha; Parapercis xanthozona; Parastromateus niger; Parupeneus barberinoides; Parupeneus barberinus; Parupeneus crassilabris; Parupeneus cyclostomus; Parupeneus indicus; Parupeneus macronema; Parupeneus macronemus; Parupeneus multifasciatus; Pastinachus sephen; Pelates quadrilineatus; Pentapodus bifasciatus; Pentapodus paradiseus; Pentapodus setosus; Pentapodus trivittatus; Pervagor janthinosoma; Pervagor nigrolineatus; Petroscirtes breviceps; Petroscirtes mitratus; Petroscirtes variabilis; PH_Che_1; PH_Che_2; PH_Che_3; PH_Che_4; PH_Che_5; PH_Che_6; PH_Dia_1; PH_Dia_2; PH_Dia_3; PH_Dia_4; PH_Dia_5; PH_GIE_1; PH_GIE_2; PH_GIE_3; PH_GIE_4; PH_GIE_5; PH_GIW_1; PH_GIW_2; PH_GIW_3; PH_GIW_4; PH_GIW_5; PH_GIW_6; PH_JI_1; PH_JI_10; PH_JI_11; PH_JI_12; PH_JI_13; PH_JI_14; PH_JI_15; PH_JI_16; PH_JI_17; PH_JI_18; PH_JI_19; PH_JI_2; PH_JI_20; PH_JI_21; PH_JI_22; PH_JI_23; PH_JI_3; PH_JI_4; PH_JI_5; PH_JI_6; PH_JI_7; PH_JI_8; PH_JI_9; PH_Ocam_1; PH_Ocam_10; PH_Ocam_2; PH_Ocam_3; PH_Ocam_4; PH_Ocam_5; PH_Ocam_6; PH_Ocam_7; PH_Ocam_8; PH_Ocam_9; Philippines; Platax teira; Platybelone argalus; Plectroglyphidodon leucozonus; Plot of land; Plotosus lineatus; Pomacanthus xanthometopon; Pomacentrus amboinensis; Pomacentrus imitator; Pomacentrus melanochir; Pomacentrus nagasakiensis; Pomacentrus simsiang; Pomacentrus smithi;
    Type: Dataset
    Format: text/tab-separated-values, 112197 data points
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  • 78
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    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 22236 data points
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  • 79
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    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-29
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Monitoring station; MONS; Pressure, atmospheric; SYO; Syowa; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 257782 data points
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  • 80
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    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 25033 data points
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  • 81
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    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 23254 data points
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  • 82
    Publication Date: 2024-02-29
    Description: Dinoflagellate cysts have been determined in sediments of core DP30PC on a resolution of 1 sample per 2.5 mm core depth (representing approximately 3 year) and 119.65 - 180.4 cm core depth. These data form the basis of high temporal resolution temperature and precipitation reconstructions for Roman times between about 200 BCE and 600 CE (ca. 205 BCE - 605 CE).
    Keywords: 64PE297; Age; Ataxiodinium choane; Bitectatodinium tepikiense; Center for Marine Environmental Sciences; Counting, dinoflagellate cysts; DEPTH, sediment/rock; Dinoflagellate cyst, other; Dinoflagellate cyst, warm water/cold water, ratio; Dinoflagellate cyst reworked; Discharge index; DP30PC; elements; Impagidinium aculeatum; Impagidinium paradoxum; Impagidinium patulum; Impagidinium plicatum; Impagidinium sphaericum; Impagidinium strialatum; Lingulodinium polyedrum; MARUM; Mediterranean; Nematosphaeropsis labyrinthus; Operculodinium israelianum; PC; Pelagia; Piston corer; Polysphaeridium zoharyi; Pseudoschizea spp.; Pyxidinopsis reticulata; Roman Climate Optimum; Spiniferites elongatus; Spiniferites mirabilis; Spiniferites ramosus; Tectatodinium pellitum; Temperature, water; Tuberculodinium vancampoae; volcanic glass shards
    Type: Dataset
    Format: text/tab-separated-values, 6092 data points
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  • 83
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    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 27270 data points
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  • 84
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    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 29012 data points
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  • 85
    facet.materialart.
    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-29
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Monitoring station; MONS; Pressure, atmospheric; SYO; Syowa; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 267840 data points
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  • 86
    facet.materialart.
    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 24245 data points
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  • 87
    Publication Date: 2024-02-29
    Description: Surveys of seagrass morphometrics were conducted as part of a large-scale seagrass ecosystem services assessment conducted across five countries: Malaysia, Indonesia, Thailand, Philippines and Timor-Leste under the International Climate Initiative (IKI): Seagrass Ecosystem Services Project (https://www.dugongseagrass.org/projects/seagrass-ecosystem-services-project/), between July 2022 and April 2023. Data points were selected by local NGO's and/or community members. Five random 0.25 m² quadrats were placed around each Baited Remote Underwater Video system (BRUV) point, where data on seagrass cover, seagrass species composition, algae cover, canopy height, epiphyte cover and sediment type were recorded (modified from Jones et al., 2021). Data were collected from a total of 880 quadrats, observing nine seagrass species across Indo-Pacific sample sites.
    Keywords: According to McKenzie et al. (2003); Algae, cover; Area/locality; BRUV; Canopy height; Country; Cymodocea rotundata, cover; DATE/TIME; Enhalus acoroides, cover; Epiphytes, cover; Event label; GPS, Garmin, GPSMAP 79s; Halodule pinifolia, cover; Halodule uninervis, cover; Halophila ovalis, cover; ID_Ba_1; ID_Ba_10; ID_Ba_2; ID_Ba_3; ID_Ba_4; ID_Ba_5; ID_Ba_6; ID_Ba_7; ID_Ba_8; ID_Ba_9; ID_Bu_1; ID_Bu_10; ID_Bu_11; ID_Bu_12; ID_Bu_2; ID_Bu_3; ID_Bu_4; ID_Bu_5; ID_Bu_6; ID_Bu_7; ID_Bu_8; ID_Bu_9; ID_Ta_1; ID_Ta_10; ID_Ta_11; ID_Ta_12; ID_Ta_2; ID_Ta_3; ID_Ta_4; ID_Ta_5; ID_Ta_6; ID_Ta_7; ID_Ta_8; ID_Ta_9; Identification; Indonesia; Indo-Pacific; LATITUDE; LONGITUDE; Malaysia; MULT; Multiple investigations; MY_Set_1; MY_Set_2; MY_Set_3; MY_Set_4; MY_Set_5; MY_Set_6; Oceana serrulata, cover; PH_Ba_1; PH_Ba_2; PH_Bv_1; PH_Bv_2; PH_Che_4; PH_Che_5; PH_Che_6; PH_Dia_3; PH_Dia_4; PH_Dia_5; PH_GIE_1; PH_GIE_2; PH_GIE_3; PH_GIE_4; PH_GIE_5; PH_GIW_1; PH_GIW_2; PH_GIW_3; PH_GIW_4; PH_GIW_5; PH_GIW_6; PH_JI_1; PH_JI_10; PH_JI_11; PH_JI_12; PH_JI_13; PH_JI_14; PH_JI_15; PH_JI_16; PH_JI_17; PH_JI_18; PH_JI_19; PH_JI_2; PH_JI_20; PH_JI_21; PH_JI_22; PH_JI_23; PH_JI_3; PH_JI_4; PH_JI_5; PH_JI_6; PH_JI_7; PH_JI_8; PH_JI_9; PH_Mac_1; PH_Mac_2; PH_Mac_3; PH_Mad_1; PH_Mad_2; PH_Mad_3; PH_Mad_4; PH_Mad_5; PH_Mad_6; PH_Mang_1; PH_Mang_2; PH_Mang_3; PH_Ocam_1; PH_Ocam_10; PH_Ocam_2; PH_Ocam_3; PH_Ocam_4; PH_Ocam_5; PH_Ocam_6; PH_Ocam_7; PH_Ocam_8; PH_Ocam_9; PH_Tag_1; PH_Tag_2; PH_Tag_3; Philippines; Quadrat number; Seagrass; Seagrass, cover; seagrass ecosystem services; seagrass traits; Season; Sediment type; Site; small-scale fishery; Species richness level; Syringodium isoetifolium, cover; TH_Mook_1; TH_Mook_10; TH_Mook_11; TH_Mook_12; TH_Mook_13; TH_Mook_14; TH_Mook_15; TH_Mook_16; TH_Mook_17; TH_Mook_18; TH_Mook_19; TH_Mook_2; TH_Mook_20; TH_Mook_21; TH_Mook_22; TH_Mook_23; TH_Mook_24; TH_Mook_25; TH_Mook_26; TH_Mook_27; TH_Mook_28; TH_Mook_29; TH_Mook_3; TH_Mook_30; TH_Mook_31; TH_Mook_32; TH_Mook_33; TH_Mook_34; TH_Mook_35; TH_Mook_36; TH_Mook_37; TH_Mook_38; TH_Mook_39; TH_Mook_4; TH_Mook_40; TH_Mook_41; TH_Mook_42; TH_Mook_43; TH_Mook_44; TH_Mook_45; TH_Mook_46; TH_Mook_47; TH_Mook_48; TH_Mook_49; TH_Mook_5; TH_Mook_50; TH_Mook_6; TH_Mook_7; TH_Mook_8; TH_Mook_9; TH_Suk_1; Thailand; Thalassia hemprichii, cover; Thalassodendron ciliatum, cover; Timor-Leste; TL_Bel_1; TL_Bel_2; TL_Bel_3; TL_Bel_4; TL_Bel_5; TL_Bel_6; TL_Bel_7; TL_Bel_8; TL_Biq_1; TL_Biq_2; TL_Biq_3; TL_Biq_4; TL_Biq_5; TL_Biq_6; TL_Biq_7; TL_Biq_8
    Type: Dataset
    Format: text/tab-separated-values, 21120 data points
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  • 88
    Publication Date: 2024-02-28
    Keywords: AGE; Age, 14C calibrated; age depth model; Aluminium; Beckman Coulter Laser diffraction particle size analyzer LS 13 320; Calcium; Color, a*; Color, b*; Color, L*, lightness; COR1404; COR1404-003PC; Coriolis II; Depth, reconstructed; DEPTH, sediment/rock; elemental geochemistry; Grain size, mean; Grain size data; Gulf of San Jorge; Gulf of San Jorge, Argentina; Iron; magnetic susceptibility; Magnetic susceptibility; Manganese; MARGES; Multi-Sensor Core Logger (MSCL), GEOTEK; Olympus InnovX Delta portable XRF; Patagonia; PC; Percentile 10; Percentile 50; Percentile 90; Piston corer; Potassium; Rubidium; Silicon; Size fraction 〉 2 mm, gravel; Spectrophotometer Minolta CM-260; Strontium; Titanium; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 6167 data points
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  • 89
    Publication Date: 2024-02-28
    Description: The dataset is raw diatom counts (minimum 250 count size) from a sediment core taken from within high saltmarsh at the mouth of Dronning Marie Dal in south east Greenland (63.470N, -41.925W). The data was collected on 19/07/2014 during a research cruise to the area as part of the X_Centuries research project funded by the Danish Council for Independent Research 30 (FNU) (grant no. DFF-0602-02526B). The core was taken using a spade to dig a shallow pit from which a sediment section was extracted, wrapped in plastic and transported to the laboratory. Diatom samples were taken from the sediment core in the laboratory at 0.25 and 0.5 cm intervals using a scalpel. Sediment samples were prepared for diatom analysis using standard methods (Palmer and Abbott 1986). Counts were taken under a light microscope at 400x magnification. Only unbroken valves were counted. The taxonomy follows Van der Werff and Huls (1958-74), Hartley (1996) and Patrick and Reimer (1966, 1975). The core top elevation was surveyed in the field using a Sokkisha level to mean tide level, established via a pressure transducer that logged tidal variations at 15-min intervals at Timmiarmiut, 100 km to the South, during fieldwork. These tidal levels were related to tidal predictions at Tasiilaq, 300 km to the NE. This data was collected to reconstruct recent (last ~300 years) of relative sea-level changes from this area, in conjunction with the modern diatom training set also collected from this location.
    Keywords: Achnanthes exigua; Achnanthes sp.; Achnanthidium minutissimum; Amphora exigua; Amphora ovalis; Caloneis borealis; Cavinula variostriata; Ceratoneis arcus; Cocconeis scutellum; Core; CORE; Cosmioneis pusilla; Counting, diatoms; Delphineis surirella; DEPTH, sediment/rock; Diadesmis contenta; diatoms; Diploneis didyma; Diploneis interrupta; DMD-14-3; Dronning Marie Dal, southeast Greenland; Encyonema minutum; Eunotia exigua; Eunotia praerupta; Eunotia serra; Fallacia forcipata; Fragilaria vaucheriae; Fragilariforma virescens; Frustulia linkei; Frustulia rhomboides; Luticola mutica; Meridion circulare; Navicula brockmanni; Navicula cincta; Navicula digitoradiata; Navicula eta; Navicula flanatica; Navicula peregrina; Navicula rhynchocephala; Navicula salinarum; Nedium sp.; Nitzschia frustulum; Nitzschia fruticosa; Nitzschia linearis; Nitzschia obtusa; Nitzschia palea; Nitzschia palustris; Number; Opephora marina; Paralia sulcata; Pinnularia borealis; Pinnularia intermedia; Pinnularia microstauron; Pinnularia subcapitata; Pinnularia viridis; Placoneis elginensis; Planothidium delicatulum; Rhabdonema minutum; Saltmarsh; Sample code/label; Sellaphora pupula; southeast Greenland; Stauroneis linearis; Stauroneis producta; Staurosirella pinnata; Surirella brightwellii; Synedra rumpens; Synedra ulna; Tabellaria flocculosa; Tabularia fasciculata; Tetracyclus emarginatus; Total counts; Trachyneis aspera; Tryblionella acuminata; Tryblionella littoralis
    Type: Dataset
    Format: text/tab-separated-values, 1386 data points
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  • 90
    Publication Date: 2024-02-28
    Keywords: age depth model; Aluminium; Beckman Coulter Laser diffraction particle size analyzer LS 13 320; Calcium; Color, a*; Color, b*; Color, L*, lightness; COR1404; COR1404-001PC; Coriolis II; DEPTH, sediment/rock; elemental geochemistry; Grain size, mean; Grain size data; Gulf of San Jorge; Gulf of San Jorge, Argentina; Iron; magnetic susceptibility; Magnetic susceptibility; Manganese; MARGES; Multi-Sensor Core Logger (MSCL), GEOTEK; Olympus InnovX Delta portable XRF; Patagonia; PC; Percentile 10; Percentile 50; Percentile 90; Piston corer; Potassium; Rubidium; Silicon; Size fraction 〉 2 mm, gravel; Spectrophotometer Minolta CM-260; Strontium; Titanium; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 1440 data points
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  • 91
    Publication Date: 2024-02-28
    Keywords: AGE; Age, 14C calibrated; age depth model; Aluminium; Beckman Coulter Laser diffraction particle size analyzer LS 13 320; Calcium; Color, a*; Color, b*; Color, L*, lightness; COR1404; COR1404-006PC; Coriolis II; Depth, reconstructed; DEPTH, sediment/rock; elemental geochemistry; Grain size, mean; Grain size data; Gulf of San Jorge; Gulf of San Jorge, Argentina; Iron; magnetic susceptibility; Magnetic susceptibility; Manganese; MARGES; Multi-Sensor Core Logger (MSCL), GEOTEK; Olympus InnovX Delta portable XRF; Patagonia; PC; Percentile 10; Percentile 50; Percentile 90; Piston corer; Potassium; Rubidium; Silicon; Size fraction 〉 2 mm, gravel; Spectrophotometer Minolta CM-260; Strontium; Titanium; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 5540 data points
    Location Call Number Expected Availability
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  • 92
    Publication Date: 2024-02-28
    Keywords: AGE; Age, 14C calibrated; age depth model; Aluminium; Beckman Coulter Laser diffraction particle size analyzer LS 13 320; Calcium; Color, a*; Color, b*; Color, L*, lightness; COR1404; COR1404-008PC; Coriolis II; Depth, reconstructed; DEPTH, sediment/rock; elemental geochemistry; Grain size, mean; Grain size data; Gulf of San Jorge; Gulf of San Jorge, Argentina; Iron; magnetic susceptibility; Magnetic susceptibility; Manganese; MARGES; Multi-Sensor Core Logger (MSCL), GEOTEK; Olympus InnovX Delta portable XRF; Patagonia; PC; Percentile 10; Percentile 50; Percentile 90; Piston corer; Potassium; Rubidium; Silicon; Size fraction 〉 2 mm, gravel; Spectrophotometer Minolta CM-260; Strontium; Titanium; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 4023 data points
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  • 93
    Publication Date: 2024-03-12
    Keywords: Aluminium oxide; Ardmore; Area/locality; Barium oxide; Barr_Creek; Calcium oxide; Cerium; Chromium(III) oxide; Depth, description; DEPTH, sediment/rock; DTREE; Duchess; Dysprosium; Erbium; Europium; Event label; Gadolinium; Georgina Basin; Hole; Holmium; Iron oxide, Fe2O3; Lanthanum; Laser Ablation; LATITUDE; Lily_Creek; LONGITUDE; Loss on ignition; Lutetium; Magnesium oxide; Manganese oxide; Neodymium; Paradise_North; Paradise_South; Phosphate_Hill; Phosphorite; Phosphorus pentoxide; Potassium oxide; Praseodymium; Rare-earth elements; ROCK; Rock sample; Samarium; Sample code/label; Sherrin_Creek; Silicon dioxide; Sodium oxide; Strontium oxide; Terbium; Thorium; Thulium; Titanium dioxide; Total; Uranium; Whole rock geochemistry; Ytterbium; Yttrium; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 1327 data points
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  • 94
    Publication Date: 2024-03-12
    Keywords: Aluminium; Aluminium oxide; Barium; Barium oxide; Calcium; Calcium oxide; Cerium; Cerium oxid; Chlorine; Date of determination; Electron micro probe analyser (EMPA); Fluorine; Gadolinium; Gadolinium oxide; Georgina Basin; Iron; Iron oxide, Fe2O3; Lanthanum; Lanthanum oxide; Laser Ablation; LATITUDE; LONGITUDE; Magnesium; Magnesium oxide; Manganese; Manganese oxide; Mineral name; Neodymium; Neodymium oxid; Oxygen; Phosphorite; Phosphorus; Phosphorus pentoxide; Sample ID; Silicon; Silicon dioxide; Site; Sodium; Sodium oxide; Strontium; Strontium oxide; Sulfur; Sulfur trioxide; Total; Whole rock geochemistry; Yttrium; Yttrium oxide
    Type: Dataset
    Format: text/tab-separated-values, 1764 data points
    Location Call Number Expected Availability
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  • 95
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-03-12
    Description: We continuously measured aerosol size distributions in the range between 18 nm and 820 nm in 64 bit per decade resolution by means of a Scanning Mobility Particle Sizer (SMPS, TSI, i.e. a Series 3080 Electrostatic Classifier equipped with a Differential Mobility Analyzer DMA 3081). The measurements were conducted at the Air Chemistry Observatory (SPUSO) at Neumayer III Station (Antarctica) between 4 August 2023 and 31 December 2023. The data are based on an original 10-minute temporal resolution, submitted as 60-minute averages. Aerosol size distribution measurements are part of the air chemistry long-term observations at Neumayer III. Details about the instrument can be found under "resources" of the corresponding metadata link: https://hdl.handle.net/10013/sensor.81ece554-068a-4c6e-8de5-1ef1944c0156
    Keywords: aerosol; Air chemistry observatory; Air Chemistry Observatory; Atmospheric Chemistry @ AWI; AWI_AC; AWI_Glac; DATE/TIME; Date/time end; Dronning Maud Land, Antarctica; Glaciology @ AWI; HEIGHT above ground; Log-normal particle size distribution, normalized concentration at particle diameter 101.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 105.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 109.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 113.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 117.6 nm; Log-normal particle size distribution, normalized concentration at particle diameter 121.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 126.3 nm; Log-normal particle size distribution, normalized concentration at particle diameter 131 nm; Log-normal particle size distribution, normalized concentration at particle diameter 135.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 140.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 145.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 151.2 nm; Log-normal particle size distribution, normalized concentration at particle diameter 156.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 162.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 168.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 174.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 18.1 nm; Log-normal particle size distribution, normalized concentration at particle diameter 18.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 181.1 nm; Log-normal particle size distribution, normalized concentration at particle diameter 187.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 19.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 194.6 nm; Log-normal particle size distribution, normalized concentration at particle diameter 20.2 nm; Log-normal particle size distribution, normalized concentration at particle diameter 20.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 201.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 209.1 nm; Log-normal particle size distribution, normalized concentration at particle diameter 21.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 216.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 22.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 224.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 23.3 nm; Log-normal particle size distribution, normalized concentration at particle diameter 232.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 24.1 nm; Log-normal particle size distribution, normalized concentration at particle diameter 241.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 25.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 250.3 nm; Log-normal particle size distribution, normalized concentration at particle diameter 259.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 25 nm; Log-normal particle size distribution, normalized concentration at particle diameter 26.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 269 nm; Log-normal particle size distribution, normalized concentration at particle diameter 27.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 278.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 28.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 289 nm; Log-normal particle size distribution, normalized concentration at particle diameter 299.6 nm; Log-normal particle size distribution, normalized concentration at particle diameter 30 nm; Log-normal particle size distribution, normalized concentration at particle diameter 31.1 nm; Log-normal particle size distribution, normalized concentration at particle diameter 310.6 nm; Log-normal particle size distribution, normalized concentration at particle diameter 32.2 nm; Log-normal particle size distribution, normalized concentration at particle diameter 322 nm; Log-normal particle size distribution, normalized concentration at particle diameter 33.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 333.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 34.6 nm; Log-normal particle size distribution, normalized concentration at particle diameter 346 nm; Log-normal particle size distribution, normalized concentration at particle diameter 35.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 358.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 37.2 nm; Log-normal particle size distribution, normalized concentration at particle diameter 371.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 38.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 385.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 399.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 40 nm; Log-normal particle size distribution, normalized concentration at particle diameter 41.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 414.2 nm; Log-normal particle size distribution, normalized concentration at particle diameter 42.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 429.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 44.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 445.1 nm; Log-normal particle size distribution, normalized concentration at particle diameter 46.1 nm; Log-normal particle size distribution, normalized concentration at particle diameter 461.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 47.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 478.3 nm; Log-normal particle size distribution, normalized concentration at particle diameter 49.6 nm; Log-normal particle size distribution, normalized concentration at particle diameter 495.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 51.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 514 nm; Log-normal particle size distribution, normalized concentration at particle diameter 53.3 nm; Log-normal particle size distribution, normalized concentration at particle diameter 532.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 55.2 nm; Log-normal particle size distribution, normalized concentration at particle diameter 552.3 nm; Log-normal particle size distribution, normalized concentration at particle diameter 57.3 nm; Log-normal particle size distribution, normalized concentration at particle diameter 572.5 nm; Log-normal particle size distribution, normalized
    Type: Dataset
    Format: text/tab-separated-values, 385097 data points
    Location Call Number Expected Availability
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  • 96
    Publication Date: 2024-03-12
    Keywords: Aluminium; Aluminium oxide; Antimony; Ardmore; Area/locality; Arsenic; Barium; Barr_Creek; Beryllium; Bismuth; Boron; Cadmium; Caesium; Calcium; Calcium oxide; Cerium; Chromium; Cobalt; Copper; DTREE; Duchess; Dysprosium; Erbium; Europium; Gadolinium; Georgina Basin; Hafnium; Holmium; Inductively coupled plasma - mass spectrometry (ICP-MS); Iron; Iron oxide, Fe2O3; Lanthanum; Laser Ablation; LATITUDE; Lead-208; Lily_Creek; Lithium; Lithium borate fusion; acid digestion; LONGITUDE; Lutetium; Magnesium; Magnesium oxide; Manganese; Manganese oxide; Molybdenum; Neodymium; Nickel; Niobium; Paradise_North; Paradise_South; Phosphate_Hill; Phosphorite; Phosphorus; Phosphorus pentoxide; Potassium; Potassium oxide; Praseodymium; Rhenium; ROCK; Rock sample; Rock type; Rubidium; Samarium; Sample ID; Scandium; Sherrin_Creek; Silicon; Silicon dioxide; Sodium; Sodium oxide; Strontium; Tantalum; Tellurium; Terbium; Thallium; Thorium; Thulium; Tin; Titanium; Titanium dioxide; Total; Uranium; Vanadium; Whole rock geochemistry; Ytterbium; Yttrium; Zinc; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 837 data points
    Location Call Number Expected Availability
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  • 97
    Publication Date: 2024-03-09
    Description: This dataset presents hourly raw data on gaseous atmospheric pollutants as sulphur dioxide (SO2), nitrogen oxides (NO/NO2/NOx), carbon monoxide (CO), ozone (O3), methane (CH4) and non-methane hydrocarbons (NMHC); and atmospheric particulate matter (PM10) at different locations in the Sierra Nevada National Park (southeastern Iberian Peninsula, Granada, Spain) during the period October 2022 - September 2023. The dataset is derived from two different measurements platforms, one fixed and one mobile. The fixed platform is sited at the Mojón del Trigo Observatory, a high-altitude remote station located in the north side of Sierra Nevada mountain range (SNS, 37.09° N, 3.38° W, 2605 m asl). This station is one of the main facilities of AGORA (Andalusian Global ObseRvatory of the Atmosphere). The mobile measurement platform is a mobile atmospheric observation unit (UMOVIL), that was moving through rural locations with different characteristics, on the south side of Sierra Nevada (ORG, 36.90° N, 3.42° W, 453 m asl; PAM, 36.94° N, 3.36° W, 1134 m asl; CAP, 36.96° N - 3.36° W, 1451 m asl). The dataset was recorded by gaseous and particulate matter analysers. The NO/NO2/NOx analyser (Thermo Scientific, model 42i in UMOVIL and 42i-TL in SNS) is based on the principle of chemiluminescence; the SO2 analyser (Thermo Scientific, model 43i in UMOVIL and 43i-TLE in SNS) is based on the principle of pulsed fluorescence; the CO analyser (Thermo Scientific, model 48i at both measurement platforms) is based on the measurement principle of non-dispersive infrared spectrometry (NDIR); the O3 analyser (Thermo Scientific, model 49i at both measurement platforms) is based on the principle of ultraviolet photometry; the PM10 analyser (Thermo Scientific, model TEOM 1405 at both measurement sites) is based on the gravimetric method for a direct determination of mass particles; and the hydrocarbons analyser (Synspec, model GC955-114 at both measurement platforms) is based on the principle of gas chromatography. The dataset presents hourly mean concentration of each species in micrograms per cubic meter.
    Keywords: Aethalometer, Magee Scientific, AE31; air pollution; ATMOBS; Atmospheric Observatory; Black carbon, equivalent; CAP2022; Capileira; Carbon monoxide; Chemiluminescence NO-NO2-NOx analyzer, Thermo Fisher Scientific, model 42i; Continuous ambient particulate monitor, Thermo Fisher Scientific, TEOM 1405; DATE/TIME; Event label; Gas chromatograph, Synspec, GC955-114; Gas Filter correlation carbon monoxide analyzer, Thermo Fisher Scientific, model 48i; Humidity, relative; Mediterranean Mountains; Methane; Mobile Platform; Nitric oxide; Nitrogen dioxide; Non-methane hydrocarbons; ORG2022; ORG2023; Órgiva; Ozone; PAM2023; Pampaneira; Particulate matter, 〈 10 µm; Pressure, atmospheric; Pulsed fluorescence SO2 analyzer, model 43i (Thermo Fisher Scientific); Sample code/label; Sierra Nevada; SNS2023; Sulfur dioxide; Temperature, air; UMOVIL; UV photometric ozone analyzer (Thermo Scientific, Model 49i); Weather Transmitter, R.M. Young, 92000 ResponseONE; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 82165 data points
    Location Call Number Expected Availability
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  • 98
    Publication Date: 2024-03-09
    Description: Meteorological data were collected across three visits to site P3 during COMICS cruise DY086 aboard the RRS Discovery in November and December, 2017. Measurements included: air pressure, temperature and humidity; solar and photosynthetically active radiation at both Port and Starboard sides. Data were provided by the British Oceanographic Data Centre and funded by the National Environment Research Council. BODC advised that the ship's anemometer shows inconsistencies and so data from the instrument were not included.
    Keywords: 74EQ20171115; 74EQ20171115-track; ALTITUDE; Barometer, Vaisala, PTB 210; biological carbon pump; COMICS; Controls over Ocean Mesopelagic Interior Carbon Storage; CT; DATE/TIME; Discovery (2013); DY086; fluxes; Humidity, relative; LATITUDE; LONGITUDE; marine biogeochemistry; PAR sensor, Two Skye Instruments, SKE510; Potential incoming solar radiation; Pressure, atmospheric; Pyranometer, Kipp & Zonen, CM6B; Radiation, photosynthetically active; SUMMER; Sustainable Management of Mesopelagic Resources; Temperature, air; Temperature and humidity sensor, Vaisala, HMP; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 155589 data points
    Location Call Number Expected Availability
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  • 99
    Publication Date: 2024-03-09
    Description: Acoustic backscatter data were collected at five frequencies (18, 38, 70, 120 and 200 kHz) across two visits to site P3 (P3A, P3B), South Georgia, aboard the RRS Discovery during DY086. Acoustic backscatter was measured with a Simrad EK60. The data consistently shows no evidence of synchronised diel vertical migration (Cook et al. 2023).
    Keywords: 74EQ20171115; biological carbon pump; COMICS; Controls over Ocean Mesopelagic Interior Carbon Storage; Date/Time of event; Date/Time of event 2; DEPTH, water; Discovery (2013); DY086; DY086_EK60_P3A; DY086_EK60_P3B; Echo backscatter; Echosounder, Simrad, EK60; Event label; fluxes; Frequency; Latitude of event; Longitude of event; marine biogeochemistry; Site; SUMMER; Sustainable Management of Mesopelagic Resources; Time of day
    Type: Dataset
    Format: text/tab-separated-values, 5760 data points
    Location Call Number Expected Availability
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  • 100
    Publication Date: 2024-03-09
    Description: Discrete measurements of particulate organic carbon (POC) concentration and flux were made on the RRS Discovery during COMICS cruise DY086 at site P3 in the South Atlantic from November to December, 2017 (Giering et al. 2023). Data is from a variety of equipment including marine snow catchers, neutrally-buoyant sediment traps (PELAGRA) and a stand-alone pump system. Marine snow catchers settled on-deck for 2 hours. Slow sinking particles were collected from the base and fast sinking particles were collected from the tray. These data were used along with bottle POC data to calibrate glider backscatter data from the GOCART project.
    Keywords: 74EQ20171115; biological carbon pump; Carbon, organic, particulate; Carbon, organic, particulate, flux; COMICS; Controls over Ocean Mesopelagic Interior Carbon Storage; Date/Time of event; DEPTH, water; Discovery (2013); DY086; DY086_MSC006; DY086_MSC007; DY086_MSC010; DY086_MSC015; DY086_MSC016; DY086_MSC019; DY086_MSC020; DY086_MSC022; DY086_MSC027; DY086_MSC028; DY086_MSC029; DY086_MSC034; DY086_MSC035; DY086_MSC036; DY086_MSC037; DY086_MSC038; DY086_MSC039; DY086_MSC040; DY086_MSC061; DY086_MSC062; DY086_MSC063; DY086_MSC067; DY086_MSC068; DY086_MSC069; DY086_MSC071; DY086_MSC072; DY086_MSC076; DY086_MSC077; DY086_MSC078; DY086_MSC079; DY086_MSC081; DY086_MSC082; DY086_MSC083; DY086_MSC084; DY086_MSC093; DY086_MSC094; DY086_MSC099; DY086_MSC100; DY086_MSC101; DY086_MSC103; DY086_MSC104; DY086_MSC105; DY086_MSC106; DY086_MSC111; DY086_MSC112; DY086_MSC113; DY086_MSC114; DY086_MSC125; DY086_MSC126; DY086_MSC127; DY086_MSC128; DY086_Pelagra006; DY086_Pelagra007; DY086_Pelagra008; DY086_Pelagra009; DY086_Pelagra010; DY086_Pelagra011; DY086_Pelagra012; DY086_Pelagra013; DY086_Pelagra014; DY086_Pelagra015; DY086_Pelagra016; DY086_Pelagra017; DY086_Pelagra018; DY086_Pelagra019; DY086_Pelagra020; DY086_Pelagra021; DY086_Pelagra022; DY086_Pelagra023; DY086_Pelagra024; DY086_Pelagra025; DY086_Pelagra026; DY086_Pelagra027; DY086_Pelagra028; DY086_Pelagra029; DY086_Pelagra030; DY086_Pelagra031; DY086_Pelagra032; DY086_Pelagra033; DY086_Pelagra034; DY086_Pelagra035; DY086_Pelagra036; DY086_Pelagra037; DY086_Pelagra038; DY086_SAPS001; DY086_SAPS002; DY086_SAPS003; DY086_SAPS004; DY086_SAPS005; Event label; fluxes; Latitude of event; Longitude of event; marine biogeochemistry; Marine snow catcher; MSC; PELAGRA; SAPS; Site; Stand-alone pumps; SUMMER; Sustainable Management of Mesopelagic Resources; Trap, sediment, drifting
    Type: Dataset
    Format: text/tab-separated-values, 366 data points
    Location Call Number Expected Availability
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