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  • PANGAEA  (34,274)
  • Taylor & Francis  (3,755)
  • Periodicals Archive Online (PAO)
  • 2020-2024  (38,029)
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Year
  • 1
    facet.materialart.
    Unknown
    Metadata and NCBI-Accession numbers of the global Deep-sea Sponge Microbiome Project (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: The Deep-sea Sponge Microbiome Project is a large-scale study, integrating 16S amplicon sequencing data of seawater, sediment, and sponges, with a large set of ecological and physical metadata. The present dataset includes NCBI-accession numbers, sample collection details, and diverse measurements, adding up to 50 entries for each of the 1546 covered samples.
    Keywords: Accession number, genetics; Ada Rebikoff; Agassiz Trawl; AGT; Alkalinity, total; Anchor dredge; Angeles Alvarino; ANT-XXXI/2 FROSN; Arctic Ocean; Area/locality; ARK-XXVII/2; ARK-XXX/3; ARK-XXXI/2; Azores2018; Bay of Biscay; BC; BEAM; Beam trawl; Bleiksdjupet; Bottle, Niskin; Bottom trawl; Box corer; BT; Campaign; Carbon, inorganic, particulate; Carbon, organic, dissolved; Carbon, organic, particulate; Carbon dioxide, total; Celtic Voyager; Class; Conductivity; CTD; CTD/Rosette; CTD1; CTD10; CTD11; CTD12; CTD13; CTD14; CTD15; CTD2; CTD3; CTD4; CTD5; CTD6; CTD7; CTD8; CTD9; CTD-RO; CV13012; CV13012_A; DATE/TIME; Deep-sea; Deep-sea Sponge Grounds Ecosystems of the North Atlantic; Density, sigma, in situ; DEPTH, water; derived from MODIS remote sensing data; Distance; Dive_041; Dive_042; Dive_043; Dive_044; Dive_045; Dive_046; DIVER; DR10; DR15; DR4; DR7; DR9; Dredge, chain bag; Dredge, rock; Dredge, triangle; DRG_A; DRG_C; DRG_R; Duse Bay; Event label; extracted from GLODAPv2.2020; extracted from the World Ocean Atlas 2018 (WOA18); Family; G. O. Sars (2003); Gear; Genus; Geological feature; Grab; GRAB; GS16A-202; GS2016109A; GS2016109A-01-CTD-01; GS2016109A-06-ROV-01; GS2016109A-09-BC-01; GS2016109A-10-BC-02; GS2016109A-14-CTD-02; GS2016109A-16-CTD-04; GS2016109A-18-CTD-06; GS2016109A-21-BC-05; GS2016109A-24-CTD-07; GS2016109A-26-CTD-09; GS2016109A-27-CTD-10; GS2016109A-28-CTD-11; GS2016109A-32-ROV-05; GS2016109A-33-AGT-01; GS2017110; GS2017110-02-ROV-02; GS2017110-03-CTD-01; GS2017110-04-CTD-02; GS2017110-05-ROV-03; GS2017110-06-ROV-04; GS2017110-08-ROV-05; GS2017110-09-ROV-6; GS2017110-15-CTD-05; GS2017110-16-ROV8; GS2017110-19-ROV10; GS2017110-22-BC-02; GS2017110-23-ROV12; GS2017110-26-CTD-08; GS2017110-28-CTD-10; GS2017110-30-CTD-12; GS2017110-34-ROV-15; GS2017110-40-ROV-18; GS2017110-41-ROV-19; GS2017110-42-CTD-16; GS2017110-44-BC-1; GS2017110-45-BC-2; GS2017110-46-BC-3; GS2017110-47-BC-4; GS2017110-50-CTD-19; GS2017110-54-CTD-20; GS2017110-57-AGT-01; GS2017110-59-CTD-21; GS2017110-60-BC-5; GS2017110-61-BC-6; GS2017110-62-BC-7; GS2017110-63-ROV-24; GS2017110-67-CTD-23; GS2017110-68-ROV-25; GS2017110-71-BC-8; GS2017110-72-BC-9; GS2017110-73-BC-10; GS2017110-74-ROV-26; GS2018108; GS2018108-01-ROV-01; GS2018108-02-CTD-01; GS2018108-03-ROV-02; GS2018108-04-ROV-03; GS2018108-05-CTD-02; GS2018108-07-ROV-05; GS2018108-08-ROV-06; GS2018108-12-CTD-03; GS2018108-13-CTD-04; GS2018108-14-CTD-05; GS2018108-17-AGT-01; GS2018108-19-ROV-12; GS2018108-22-CTD-07; GS2018108-23-ROV-15; GS2018108-25-ROV-17; GS2018108-29-CTD-09; GS2018108-30-CTD-10; GS2018108-31-CTD-11; GS2018108-34-ROV-22; GS2018108-37-CTD-12; GS2018108-39-ROV-26; GS2018108-43-ROV-30; GS2018108-44-ROV-31; GS2018108-46-ROV-33; GS2018108-48-CTD-13; GS2018108-55-CTD-14; GS2018108-58-ROV-43; GS2018108-62-CTD-15; GS2018108-63-ROV-47; GS2018108-64-ROV-48; GS2018108-66-CTD-16; GS2018108-70-ROV-50; GS2018108-77-CTD-24; GS2018108-78-ROV-52; GS2018108-79-ROV-53; Gulf of Bothnia, Baltic sea; H045_A; Hans Brattström; HB2016952; HB2016952_2; HB2016952_5; HB2016952_6; HB2016952_7; HB2016952_8; HB27102017_A; HB27102017_B; HB27102017_C; HB27102017a; HB27102017b; HUD16/19_010; HUD16/19_012; HUD16/19_013; HUD16/19_018; HUD16/19_020; HUD16/19_383; HUD16/19_387; HUD16/19_391; HUD16/19_392; HUD16/19_395; HUD2016019; Hudson; Identification; James Clark Ross; JR17003A; JR17003A_12; JR17003A_19; JR17003A_42; JR17003A_44; JR17003A_46-1; KB2017610; KB2017610_CTD7; KB2017610_KB-28; KB2017610_KB-32; KB2017610_KB-60; KB2017610_KB-61; KB2017610_ROV9; Korsfjord; Kristine Bonnevie; LATITUDE; LONGITUDE; LULA0718_Dive1; LULA0718_Dive2; LULA0718_Dive3; Malangsgrunnen; Maria S. Merian; Martha L. Black; meta-analysis; microbes; MLB2017001; MLB2017001_004; MLB2017001_005; MLB2017001_006; MLB2017001_015; MLB2017001_017; MLB2017001_020; MOOR; Mooring; MSM86; MSM86_006; MSM86_008; MSM86_009; MSM86_010; MSM86_012; MSM86_013; MSM86_015; MSM86_016; MSM86_019; MSM86_021; MSM86_022; MSM86_027; MSM86_028; MSM86_031; MSM86_032; MSM86_034; MSM86_035; MSM86_036; MSM86_038; MSM86_040; MSM86_041; MSM86_052; MSM86_054; MSM86_061; MSM86_062; MSM86_063; MSM86_067; MSM86_080; MSM86_081; MSM86_083; MSM86_086; MSM86_088; MSM86_090; MSM86_091; MSM86_094; MSM86_101; MSM86_106; Multicorer with television; NIS; Nitrate; Nitrogen, total dissolved; Nitrogen/Phosphorus ratio; North Greenland Sea; ocean; Ocean; Order; OT; OTNMoor_275; Otter trawl; Oxygen, apparent utilization; Oxygen, dissolved; Oxygen saturation; PAA2014007; PAA2014007_003; PAA2014007_056; PAA2014007_068; PAA2014007_070; PAA2014007_078; PAA2014007_079; PAA2014007_088; PAA2014007_110; PAA2014007_120; PAA2014007_123; PAA2014007_124; PAA2014007_125; PAA2014007_131; PAA2014007_133; PAA2014007_136; Paamiut; pH; Phosphate; Phylum; Polarstern; Pori Bac NewZ; Pressure, water; Prince Gustav Channel; Profile ID; Project; PS101; PS101/088-1; PS101/092-1; PS101/093-1; PS101/094-1; PS101/123-1; PS101/154-1; PS101/155-1; PS101/170-1; PS101/172-1; PS101/193-1; PS101/194-1; PS101/196-1; PS101/197-1; PS101/198-1; PS101/200-1; PS101/208-1; PS101/216-1; PS107; PS107_2-1; PS107_33-1; PS107_47-1; PS107_6-3; PS80; PS80/176-9; PS80/192-1; PS96; PS96/006-1; PS96/009-3; PS96/009-4; Realm; Remote operated platform for oceanography; Remote operated vehicle; ROPOS; ROPOS 2028; ROPOS 2029; ROPOS 2030; ROPOS 2034; ROV; Salinity; Sample type; Sampling by diver; Schultz Bank; Scotia; Scotia_0915S; Scotia_0915S_A; Scotia_0915S_B; Scotia_0915S_C; Scotia_0915S_D; Sea surface chlorophyll a; seawater; sediment; Silicate; Silicon/Phosphorus ratio; SO254; SO254_10-1; SO254_1-1; SO254_14-1; SO254_18-1; SO254_2-1; SO254_22-1; SO254_23-1; SO254_33-1; SO254_34-1; SO254_36-1; SO254_69-1; SO254_76-1; SO254_77-1; SO254_78-1; SO254_79-1; SO254_8-1; SO254_81-1; SO254_84-1; SO254_85-1; SO254_diver; Sognefjord; Sonne_2; South Atlantic Ocean; South Pacific Ocean; Species; sponge; SponGES; SponGES_0617; SPONGES_0617_04-DR4; SPONGES_0617_06-BT2; SPONGES_0617_07-CTD1; SPONGES_0617_09-DR5; SPONGES_0617_10-DR6; SPONGES_0617_12-CTD2; SPONGES_0617_13-CTD3; SPONGES_0617_15-DR7; SPONGES_0617_18-CTD4; SPONGES_0617_19-CTD5; SPONGES_0617_20-BT3; SPONGES_0617_23-DR9; SPONGES_0617_24-CTD6; SPONGES_0617_26-BT4; SPONGES_0617_27-CTD7; SPONGES_0617_28-DR10; SPONGES_0617_29-CTD8; SPONGES_0617_37-DR11; SPONGES_0617_38-DR12; SPONGES_0617_40-CTD9; SPONGES_0617_41-BT5; SPONGES_0617_42-CTD10; SPONGES_0617_43-BC1; SPONGES_0617_45-BC2; SPONGES_0617_46-CTD11; SPONGES_0617_47-BT6; SPONGES_0617_48-DR14; SPONGES_0617_49-CTD12; SPONGES_0617_50-BT7; SPONGES_0617_52-BT9; SPONGES_0617_53-BC3M1; SPONGES_0617_54-BT10; SPONGES_0617_55-CTD13; SPONGES_0617_56-BT11; SPONGES_0617_57-BT12; SPONGES_0617_58-CTD14; SPONGES_0617_59-BC4M1; SPONGES_0617_60-DR15; SPONGES_0617_61-CTD15; SPONGES_0617_63-DR16; Station label; Stjernsund; SUB; Submersible; Sula reef; TAD; Television-Grab; Temperature, water; Tromsoflaket East; Tromsøflaket; TVG; TVMUC; Uniform resource locator/link to reference; Vesteris; Water bodies; Weddell Sea; Zone
    Type: Dataset
    Format: text/tab-separated-values, 54242 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 2
    facet.materialart.
    Unknown
    Dissolved gas and dissolved inorganic nitrogen concentrations and isotopes during METEOR cruise M91 (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: Seawater samples for stable isotopes measurements of nitrate (δ15NO3-) and nitrite (δ15NO2-) were taken from the CTD/rosette. δ15NO3- and δ15NO2- samples were either preserved frozen or an azide treatment was applied depending on the nitrite concentration (Altabet et al., 2012; Bourbonnais et al., 2015; Hu et al., 2016). The isotopic composition of both N-species was measured using the Cd reduction/azide method (McIlvin and Altabet, 2005).
    Keywords: Bottle number; Climate - Biogeochemistry Interactions in the Tropical Ocean; CTD/Rosette; CTD-002; CTD-003; CTD-005; CTD-006; CTD-008; CTD-010; CTD-012; CTD-013; CTD-016; CTD-017; CTD-018; CTD-019; CTD-021; CTD-022; CTD-024; CTD-026; CTD-028; CTD-033; CTD-034; CTD-035; CTD-036; CTD-038; CTD-039; CTD-041; CTD-044; CTD-046; CTD-048; CTD-049; CTD-050; CTD-051; CTD-052; CTD-053; CTD-054; CTD-058; CTD-059; CTD-060; CTD-061; CTD-062; CTD-063; CTD-064; CTD-065; CTD-066; CTD-067; CTD-068; CTD-069; CTD-070; CTD-073; CTD-074; CTD-075; CTD-076; CTD-078; CTD-079; CTD-080; CTD-081; CTD-082; CTD-083; CTD-084; CTD-085; CTD-086; CTD-087; CTD-088; CTD-089; CTD-090; CTD-091; CTD-092; CTD-093; CTD-094; CTD-097; CTD-RO; DATE/TIME; DEPTH, water; Event label; LATITUDE; LONGITUDE; M91; M91_1713-1; M91_1713-3; M91_1715-1; M91_1715-3; M91_1717-1; M91_1719-1; M91_1721-1; M91_1721-3; M91_1724-1; M91_1724-3; M91_1725-1; M91_1725-3; M91_1727-1; M91_1727-3; M91_1729-1; M91_1731-1; M91_1733-1; M91_1736-1; M91_1736-3; M91_1737-1; M91_1737-3; M91_1739-1; M91_1739-3; M91_1741-1; M91_1744-1; M91_1746-1; M91_1748-1; M91_1749-1; M91_1750-1; M91_1751-1; M91_1751-3; M91_1752-1; M91_1752-4; M91_1754-1; M91_1755-2; M91_1755-4; M91_1756-1; M91_1757-1; M91_1758-1; M91_1759-1; M91_1760-1; M91_1761-1; M91_1762-2; M91_1763-1; M91_1764-1; M91_1764-3; M91_1765-1; M91_1766-1; M91_1766-3; M91_1767-1; M91_1768-1; M91_1768-3; M91_1769-1; M91_1770-2; M91_1770-4; M91_1771-1; M91_1772-1; M91_1773-2; M91_1773-3; M91_1774-1; M91_1774-3; M91_1775-1; M91_1775-3; M91_1776-1; M91_1776-3; M91_1777-1; M91_1777-4; M91_1778-1; Meteor (1986); Nitrogen excess; Profile ID; SFB754; South Pacific Ocean; δ15N, nitrate; δ15N, nitrite; δ18O, nitrate; δ18O, nitrite
    Type: Dataset
    Format: text/tab-separated-values, 3789 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 3
    facet.materialart.
    Unknown
    Dissolved gas and dissolved inorganic nitrogen concentrations isotopes during METEOR cruise M90 (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: Seawater samples for stable isotopes measurements of nitrate (δ15NO3-) and nitrite (δ15NO2-) were taken from the CTD/rosette. δ15NO3- and δ15NO2- samples were either preserved frozen or an azide treatment was applied depending on the nitrite concentration (Altabet et al., 2012; Bourbonnais et al., 2015; Hu et al., 2016). The isotopic composition of both N-species was measured using the Cd reduction/azide method (McIlvin and Altabet, 2005).
    Keywords: Bottle number; Climate - Biogeochemistry Interactions in the Tropical Ocean; CTD/Rosette; CTD 1; CTD 10; CTD 100; CTD 101; CTD 102; CTD 103; CTD 105; CTD 106; CTD 107; CTD 108; CTD 109; CTD 110; CTD 111; CTD 112; CTD 113; CTD 114; CTD 115; CTD 116; CTD 117; CTD 119; CTD 120; CTD 121; CTD 122; CTD 123; CTD 124; CTD 125; CTD 126; CTD 127; CTD 128; CTD 129; CTD 13; CTD 130; CTD 131; CTD 132; CTD 133; CTD 135; CTD 136; CTD 138; CTD 139; CTD 14; CTD 141; CTD 143; CTD 144; CTD 145; CTD 147; CTD 149; CTD 15; CTD 150; CTD 151; CTD 152; CTD 153; CTD 154; CTD 156; CTD 158; CTD 16; CTD 160; CTD 162; CTD 165; CTD 168; CTD 171; CTD 173; CTD 183; CTD 2; CTD 20; CTD 22; CTD 23; CTD 24; CTD 25; CTD 26; CTD 27; CTD 28; CTD 29; CTD 3; CTD 30; CTD 31; CTD 32; CTD 33; CTD 34; CTD 35; CTD 36; CTD 37; CTD 38; CTD 39; CTD 4; CTD 41; CTD 42; CTD 43; CTD 44; CTD 45; CTD 48; CTD 49; CTD 5; CTD 50; CTD 51; CTD 52; CTD 54; CTD 55; CTD 56; CTD 57; CTD 58; CTD 59; CTD 61; CTD 62; CTD 63; CTD 64; CTD 65; CTD 66; CTD 67; CTD 69; CTD 70; CTD 71; CTD 72; CTD 73; CTD 74; CTD 77; CTD 78; CTD 79; CTD 81; CTD 82; CTD 83; CTD 84; CTD 85; CTD 86; CTD 89; CTD 9; CTD 90; CTD 91; CTD 92; CTD 93; CTD 94; CTD 95; CTD 96; CTD 97; CTD 98; CTD 99; CTD-RO; DATE/TIME; DEPTH, water; Event label; LATITUDE; LONGITUDE; M90; M90_1552-1; M90_1553-1; M90_1554-1; M90_1555-1; M90_1555-2; M90_1559-1; M90_1560-1; M90_1563-1; M90_1563-2; M90_1564-1; M90_1565-1; M90_1569-1; M90_1571-1; M90_1572-1; M90_1572-2; M90_1573-1; M90_1574-1; M90_1575-1; M90_1576-1; M90_1577-1; M90_1577-2; M90_1578-1; M90_1579-1; M90_1580-1; M90_1581-1; M90_1581-2; M90_1582-1; M90_1583-1; M90_1583-2; M90_1584; M90_1586-1; M90_1587-1; M90_1588-1; M90_1589-1; M90_1590-1; M90_1593-1; M90_1594-1; M90_1595-1; M90_1596-1; M90_1596-2; M90_1598-1; M90_1599-1; M90_1600-1; M90_1600-2; M90_1601-1; M90_1602-1; M90_1604-1; M90_1604-2; M90_1605-1; M90_1606-1; M90_1607-1; M90_1608-1; M90_1608-2; M90_1610-1; M90_1611-1; M90_1612-1; M90_1612-2; M90_1613-1; M90_1614-1; M90_1617-1; M90_1618-1; M90_1619-1; M90_1621-1; M90_1621-2; M90_1622-1; M90_1623-1; M90_1624-1; M90_1625-1; M90_1628-1; M90_1628-2; M90_1629-1; M90_1630-1; M90_1631-1; M90_1632-1; M90_1633-1; M90_1634-1; M90_1635-1; M90_1636-1; M90_1637-1; M90_1638-1; M90_1639-1; M90_1639-2; M90_1640-1; M90_1642-1; M90_1643-1; M90_1644-1; M90_1645-1; M90_1646-1; M90_1646-2; M90_1647-1; M90_1648-1; M90_1649-1; M90_1650-1; M90_1651-1; M90_1652-1; M90_1652-2; M90_1654-1; M90_1655-1; M90_1656-1; M90_1656-2; M90_1657-1; M90_1658-1; M90_1659-1; M90_1659-2; M90_1660-1; M90_1661-1; M90_1661-2; M90_1662-1; M90_1663-1; M90_1664-1; M90_1664-2; M90_1666-1; M90_1666-2; M90_1668-1; M90_1668-2; M90_1670-1; M90_1672-1; M90_1673-1; M90_1673-1b; M90_1675-1; M90_1677-1; M90_1678-1; M90_1679-1; M90_1679-2; M90_1680-1; M90_1681-1; M90_1683-1; M90_1685-1; M90_1687-1; M90_1689-1; M90_1692-1; M90_1695-1; M90_1698-1; M90_1700-1; M90_1710-1; Meteor (1986); Nitrogen, biogenic; Nitrogen, biogenic, standard deviation; Nitrogen deficit; Nitrogen excess; Profile ID; SFB754; Standard deviation; δ15N, gas; δ15N, nitrate; δ15N, nitrite; δ15N, standard error; δ18O, nitrate; δ18O, nitrite
    Type: Dataset
    Format: text/tab-separated-values, 14903 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 4
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    Unknown
    Microstructure measurements during METEOR cruise M106 (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: 118 profiles of post-processed upper-ocean microstructure data from a loosely-tethered profiler (MSS90-D, manufactured by Sea & Sun Technology) collected in the central and western tropical Atlantic. Dissipation rates of turbulent kinetic energy are calculated as described in Schafstall et al. (Journal of Geophysical Research, 2010). Stored parameters include: Dissipation rate of turbulent kinetic energy in m^2 s^(-3) from 3 microstructure shear sensors, temperature, salinity and depth.
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; DATE/TIME; DEPTH, water; Dissipation rate; Event label; LATITUDE; LONGITUDE; M106; M106_324-3; M106_337-5/6; M106_346-1; M106_352-1; M106_353-1; M106_366-1; M106_367-3; M106_368-3; M106_371-2; M106_372-2; M106_403-2; M106_404-2; M106_405-2; M106_406-2; M106_407-2; M106_410-2; M106_411-4; M106_412-2; M106_413-2; M106_414-2; M106_415-2; M106_416-4; M106_417-2; M106_418-2; M106_419-2; M106_422-2; M106_423-2; M106_424-3; M106_425-2; M106_426-2; M106_427-2; M106_428-3; M106_429-2; M106_430-2; M106_431-2; M106_432-2; M106_433-2; M106_434-2; Meteor (1986); Micro structure probe; MSS; MSS_1; MSS_10; MSS_11; MSS_12; MSS_13; MSS_14; MSS_15; MSS_16; MSS_18; MSS_19; MSS_2; MSS_20; MSS_21; MSS_22; MSS_23; MSS_24; MSS_25; MSS_26; MSS_27; MSS_28; MSS_29; MSS_3; MSS_30; MSS_31; MSS_32; MSS_33; MSS_34; MSS_35; MSS_36; MSS_37; MSS_38; MSS_39; MSS_4; MSS_5; MSS_6; MSS_7; MSS_8; MSS_9; Pressure, water; Profile ID; Salinity; SFB754; Temperature, water; tropical Atlantic
    Type: Dataset
    Format: text/tab-separated-values, 684121 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 5
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    Unknown
    Microstructure measurements during METEOR cruise M119 (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: 170 profiles of post-processed upper-ocean microstructure data from a loosely-tethered profiler (MSS90-D, manufactured by Sea & Sun Technology) collected in the central and western tropical Atlantic. Dissipation rates of turbulent kinetic energy are calculated as described in Schafstall et al. (Journal of Geophysical Research, 2010). Stored parameters include: Dissipation rate of turbulent kinetic energy in m^2 s^(-3) from 3 microstructure shear sensors, temperature, salinity and depth.
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; DATE/TIME; DEPTH, water; Dissipation rate; Event label; LATITUDE; LONGITUDE; M119; M119_687-1; M119_711-1; M119_751-1; M119_767-1; M119_773-1; M119_777-1; M119_813-1; M119_815-1; M119_817-1; M119_819-1; M119_826-1; M119_828-1; M119_831-1; M119_834-1; M119_836-1; M119_839-1; M119_841-1; M119_843-1; M119_847-1; M119_849-1; M119_851-1; M119_854-1; M119_856-1; M119_858-1; M119_860-1; M119_862-1; M119_864-1; M119_866-1; Meteor (1986); Micro structure probe; MSS; Pressure, water; Profile ID; Salinity; SFB754; Temperature, water; tropical Atlantic
    Type: Dataset
    Format: text/tab-separated-values, 798407 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 6
    facet.materialart.
    Unknown
    Microstructure measurements during METEOR cruise M135 (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: 97 profiles of post-processed upper-ocean (〈250m depth) microstructure data from a loosely-tethered profiler (MSS90-D, manufactured by Sea & Sun Technology) collected in the central tropical Atlantic. Dissipation rates of turbulent kinetic energy are calculated as described in Schafstall et al. (Journal of Geophysical Research, 2010). Stored parameters include: Dissipation rate of turbulent kinetic energy in m^2 s^(-3) from 3 microstructure shear sensors, temperature, salinity and depth.
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; DATE/TIME; DEPTH, water; Dissipation rate; Event label; LATITUDE; LONGITUDE; M135; M135_236-2; M135_247-2; M135_249-5; M135_252-4; M135_254-4; M135_255-2; M135_257-2; M135_258-2; M135_284-1; M135_285-1; M135_286-1; M135_287-2; M135_288-3; M135_289-2; M135_326-1; M135_327-1; M135_328-2; M135_329-1; M135_330-1; M135_331-1; M135_332-1; M135_333-1; Meteor (1986); Micro structure probe; MSS; Pressure, water; Profile ID; Salinity; SFB754; SFB754/POSTRE-II; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 237907 data points
    Location Call Number Expected Availability
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  • 7
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    Aircraft measurements of spectral downward solar irradiance over Arctic sea ice and ocean during the HALO-(AC)³ campaign in spring 2022 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: During the HALO-(AC)³ campaign in March and April 2022 spectral solar downward irradiances were measured onboard of the High Altitude LOng range research aircraft (HALO) over the Arctic sea ice and ocean using the Spectral Modular Airborne Radiation measurement sysTem (SMART). The data set gives time series of spectral irradiances measured along the flight path of HALO on 17 days. All flights started from Kiruna, Sweden and headed into the Fram Straight and towards the central Arctic. The goal of the campaign was to study warm air intrusions and cold air outbreaks to and from the Arctic and to follow those air masses over several days with remote sensing instrumentation aboard HALO. The first research flight (RF) was RF02. RF01 was the transfer flight from Oberpfaffenhofen, Germany to Kiruna. The irradiance inlet of SMART was actively stabilized and connected to two spectrometers of which one measured radiation in the visible to near infrared range (VNIR) between 180 and 1014 nm and the other radiation in the shortwave to infrared range (SWIR) between 890 and 2200 nm. The data was merged at 990 nm and cut to 320 to 2100 nm because of high uncertainties at the spectrometer edges. The spectral resolution below 900 nm is 1nm and above 5 nm due to technical limitations of the SWIR spectrometer. The data is corrected for the dark current of the spectrometers and calibrated using in field transfer calibrations connected to a laboratory calibration after the campaign.
    Keywords: AC; AC3; airborne measurements; Aircraft; Arctic; Arctic Amplification; Atmospheric and Earth System Research with HALO – High Altitude and Long Range Research Aircraft; Binary Object; Binary Object (File Size); Date/Time of event; Date/Time of event 2; Event label; HALO; HALO_220312a; HALO_220313a; HALO_220314a; HALO_220315a; HALO_220316a; HALO_220320a; HALO_220321a; HALO_220328a; HALO_220329a; HALO_220330a; HALO_220401a; HALO_220404a; HALO_220407a; HALO_220408a; HALO_220410a; HALO_220411a; HALO_220412a; HALO_AC3; HALO-(AC)³; Image; irradiance; Latitude of event; Longitude of event; RF02; RF03; RF04; RF05; RF06; RF07; RF08; RF09; RF10; RF11; RF12; RF13; RF14; RF15; RF16; RF17; RF18; SMART; solar; spectral irradiance; SPP1294
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 8
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    Stable water isotopologues of arrays of high resolution 1 m snow cores from across Dronning Maud Land, East Antarctic Plateau (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: A set of 1 m firn profiles was sampled in December 2018 across a traverse of ~ 100 km near Kohnen Station to quantify stratigraphic noise in high resolution isotope records. At each of six different locations (D2, C4, C5, D7, D24, D38), 5 profiles were extracted on one line, perpendicularly to the overall large scale wind direction and with an interprofile spacing of 10 m. Each firn profile was vertically extracted from the snow surface by inserting a 1 m pipe of carbon fiber at the sidewall of a snow-pit. Vertical target resolution was 1.1 cm in the upper 16.5 cm and 3.3 cm in the lower part. Due compression and expanding while handling, transportation and cutting at site, we assume a maximum depth uncertainty from these steps of 2 cm. All samples (N = 1249) were packed in plastic bags and transported to Germany in a constantly frozen state. Measurements of the stable water isotopic composition (δ¹⁸O, δD) of the firn samples were done using a Cavity Ring-Down Spectroscopy instrument (CRDS) of PICARRO Inc (model L2140-i) in the Stable Isotope Facility at the Alfred Wegener Institute in Potsdam, Germany. Post-run correction was done as described in Münch et al., (2016 - doi:10.5194/cp-12-1565-2016). Scaling to the VSMOW/SLAP (Vienna Standard Mean Ocean Water/StandardLight Antarctic Precipitation) scale results in the δ-notation, describing the ratio of heavy to light isotopes in ‰. In-house standards were used for quality control. The mean combined measurement uncertainty is 0.07‰ for δ¹⁸O and 0.5‰ for δD (root mean square deviation, RMSD).
    Keywords: 2018_Kohnen_C4; 2018_Kohnen_C5; 2018_Kohnen_D2; 2018_Kohnen_D24; 2018_Kohnen_D38; 2018_Kohnen_D7; AWI_Envi; AWI_SPACE; Cavity Ring-Down Spectrometer (CRDS), PICARRO, L2140i; Date/Time of event; DEPTH, ice/snow; Depth, ice/snow, bottom/maximum; Depth, ice/snow, top/minimum; Deuterium excess; Deuterium excess, standard deviation; Dronning Maud Land; East Antarctic plateau; Event label; FIRNC; Firn corer; Kohnen_based; Kohnen Station; LATITUDE; Location ID; LONGITUDE; Polar Terrestrial Environmental Systems @ AWI; Position; Profile ID; Sample number; snow cores; Snow height; Space-time structure of climate change @ AWI; stable water isotopes; δ18O, water; δ18O, water, standard deviation; δ Deuterium, standard deviation; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 16237 data points
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  • 9
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    Quasi-Lagrangian air mass matches during HALO-(AC)3: Matches occuring over consecutive days (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: One of the main goals of the HALO-(AC)3 Arctic airborne campaign conducted in spring 2022 was a quasi-Lagrangian sampling of air masses. This means that the same air masses were to be sampled twice. Such a measurement strategy allows for concrete observations of air mass transformations, which can for example be used to benchmark weather models. After finishing the campaign, trajectory calculations were conducted for all flights of the HALO aircraft to check whether the flight strategy was a success. For this, the trajectory calculation tool Lagranto was used in conjunction with wind fields from the ERA5 reanalysis. Latter has an output resolution of around 30 km and one hour. The hourly data was bi-linearly interpolated to one minute resolution. Air masses were initialized temporally every one minute along the flight track of HALO, and vertically every 5 hPa between 250 hPa and 10 hPa above the ground level. Horizontally, air masses were started within a 30 km radius circle centered around the location of HALO. In each circle, 30 air masses were initialized evenly spaced approximately every 10 km, allowing for a better statistical analysis. Trajectories were then calculated in one-minute steps up to 32 hours forward in time. At typical HALO flight times of up to 10 hours, around 2.7 million trajectories were calculated per research flight. A quasi-Lagrangian match is registered if the same air mass is seen again below HALO on the subsequent day and within the same 30 km radius.
    Keywords: AC; AC3; Aircraft; Arctic; Arctic Amplification; Date/Time of event; Event label; HALO; HALO_220312a; HALO_220313a; HALO_220314a; HALO_220315a; HALO_220320a; HALO_220328a; HALO_220329a; HALO_220407a; HALO_220410a; HALO_220411a; HALO_AC3; HALO-(AC)³; Image; Lagrangian data; Optional event label; RF02; RF03; RF04; RF05; RF07; RF09; RF10; RF14; RF16; RF17; Text file; trajectories
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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  • 10
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    Unknown
    Oxygen microprofiles measured in situ in sediments of Kermadec Trench and adjacent abyssal plains (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: Oxygen microprofiles were measured using an autonomous benthic lander system. Once the lander had stabilized at the seabed, an array of O2 microelectrodes was vertically moved across the sediment-water interface at a predefined resolution - measurements were recorded at each depth after a delay of a few seconds. When the array had reached the maximum measuring depth, sensors were retracted to the start position, and the array was moved horizontally before the measuring routine was repeated (Glud et al. 2021). Sensor signals were converted into O2 concentrations using a linear calibration curve that was based on measurements in the bottom water of known O2 concentration and measurements in the anoxic sediment layers.
    Keywords: B_LANDER; Bottom lander; Clark type electrochemical Oxygen microsensor; Date/Time of event; Deep sea; DEPTH, sediment/rock; Elevation of event; Event label; HADAL; Hadal lander; Hadal trench; Kermadec trench; Kermadec Trench; Latitude of event; Longitude of event; microsensor; Microsensor concentration profiles; Oxygen; Profile ID; sediment; Site; Site K2; Site K3; Site K5; Site K6; Site K7; TAN1711; TAN1711_K2-1; TAN1711_K3-1; TAN1711_K4; TAN1711_K5-3; TAN1711_K6-1; TAN1711_K7-1; Tangaroa
    Type: Dataset
    Format: text/tab-separated-values, 77559 data points
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