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  • PANGAEA  (35,526)
  • Oxford University Press  (14,195)
  • Frontiers Media SA
  • 2020-2024  (38,116)
  • 2020-2023  (51)
  • 1975-1979  (14,034)
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Year
  • 1
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    Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund (July 2022 - December 2023) (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: The open source Video In Situ Snowfall Sensor (VISSS) is a novel instrument for the characterization of particle shape and size in snowfall. The VISSS consists of two cameras with LED backlights and telecentric lenses that allow accurate sizing and combine a large observation volume with relatively high resolution and a design that limits wind disturbance. Here, movies and images of falling precipitation particles are provided for station Ny-Ålesund from July 2022 to December 2023. For further details on the VISSS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; In-situ; Ny-Ålesund; snowfall; snowflake
    Type: Dataset
    Format: application/zip, 523 datasets
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 2
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    Unknown
    A global database of measured values of Li/Mg, Mg/Ca, Sr/Ca, Ba/Ca, U/Ca and Sr-U for coral and coralline algae paleoenvironment calibrations (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: Calcifying marine organisms provide a valuable means to access high-resolution historical records of the marine environment captured within their skeletal geochemistry. These records are essential for comprehending the effects of human-induced climate change and reducing uncertainties in future projections. Integrating investigations across various taxa, depths, and geographic locations can help identify universal environmental proxies and serve as a basis for targeted studies in the future. Here, we provide a comprehensive georeferenced database of measured values of Li/Mg, Mg/Ca, Sr/Ca, Ba/Ca, U/Ca and Sr-U in coral and coralline algae compiled from the scientific literature (1950-2021; http://www.webofknowledge.com, accessed 2022-09-30) for the purpose of interrogating and refining global, mineralogy specific and/or taxon-specific proxies for seawater temperature and barium. We include metadata relating to the source, timing and location of each study, the methodology used, and environmental and experimental information. The dataset presents an opportunity to quantify uncertainty and test the robustness of trace and minor element proxies for past environmental conditions, of which will be of value within the fields of geochemistry, ecology, climate, and palaeobiology. Full methodology and additional information provided in Williams et al. (2024).
    Keywords: aragonite; Ba/Ca; coralline algae; Corals; high-Mg calcitic corals; Li/Mg; Mg/Ca; octocorals; paleotemperature proxy; seawater barium; Sr/Ca; Sr-U; U/Ca
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 3
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    Unknown
    Marine fossil radiocarbon (14C) compilation up to 2021 (2022)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: This dataset includes a global compilation of new and published 14C measurements of benthic foraminifera and deep-sea corals (from 0-to 49872 years BP). We synthesized this new dataset into basin-average 14C ventilation age values over the 25,000 years, along density surfaces associated with the upper and lower cells of global ocean overturning circulation (27.5 and 28 kg m^-3, respectively). The published datasets are from all ocean basins, even those not utilized in our synthesis. We also provide the basin-average estimates for the Atlantic, Southern, and Pacific Oceans as produced by the Rafter et al. 2022 study.
    Keywords: 0050PG; 0066PG; 145-883; 145-887; 146-893A; 167-1019A; 202-1240; 202-1242A; 341-U1419; 35MF20120125, OISO_21, INDIEN SUD 2; 47396B; 50-37KL; 64-480; 90b; AII125-8-55; AII125-8-56; Akademik M.A. Lavrentyev; ALV-3887-1549-004-007; ALV-3887-1549-004-009; ALV-3887-1549-004-012; ALV-3890-1407-003-001; ALV-3891-1459-003-002; ALV-3891-1758-006-003; AMOCINT, IMAGES XVII; ANT-XI/4; ANT-XXIII/9; ANT-XXVI/2; Argentine Basin; ARK-II/5; ARK-X/2; Azores; B34-91; BC; Bering Sea; Binary Object; BO04-PC11; Box corer; Brazil Basin; Burdwood_Bank; CALYPSO; CALYPSO2; Calypso Corer; Calypso Corer II; Calypso square corer; Calypso Square Core System; Canarias Sea; Cape_Horn; Caribbean Sea; CASQ; CASQS; CD159; CD159-10; CD159-15; CD159-17; CD38-17P; Celtic Sea; Cenderawasih Bay; Central Pacific; CH84-14; Charles Darwin; CHAT_10k; CHAT_16k; CHAT-3K; CHAT-5K; Chatham Rise; COMPCORE; Composite Core; Conrad Rise; Core; CORE; Core1471; Core2088; Core21210009; Core2307; Core2631; Core2657; Core2706; Core2774; Core47396; Core654; Core660; Core936; Corner Rise; Denmark Strait; Drake Passage; DRILL; Drilling/drill rig; Eastern Equatorial Pacific; Eastern slope of Kurile Basin; East Pacific; Emperor Seamounts; EN06601; EN066-39GGC; Endeavor; Equatorial East Pacific; ESTASE1; EW0408; EW0408-26JC; EW0408-85JC; EW0408-87JC; Exp341; F2-92-P3; F8-90-G21; File content; Galapagos; Galápagos Islands; GC; GC_POI; GeoB1503-1; GeoB2104-3; GeoB7149-2; GeoB7162-6; GeoB7163-7; GeoB7167-6; GGC; GGC5; gh02-1030; Giant box corer; Giant gravity corer; Giant piston corer; GIK17940-1; GIK23243-2 PS05/431; GKG; Glomar Challenger; GPC; Gravity corer; Gravity corer (Kiel type); Gravity corer (POI); GS07-150-17/1GC-A; GS07-150-20/2A; Gulf of Alaska; Gulf of California; H209; H213; HH12-946MC; HU72-021-7; HU89038-8PC; IMAGES III - IPHIS; IMAGES IV-IPHIS III; IMAGES V; IMAGES VIII - MONA; IMAGES VII - WEPAMA; IMAGES XII - MARCO POLO; IMAGES XV - Pachiderme; Indian Ocean; INOPEX; Interim_Seamount; Japan Trench; Jean Charcot; JM-FI-19PC; Joides Resolution; JPC; JPC30; JT96-09; JT96-09PC; Jumbo Piston Core; KAL; KALMAR II; Kasten corer; KL; KN_USA; KN11002; KN159-5; Knorr; KNR073-04-003; KNR110-50; KNR110-66; KNR110-82a; KNR110-82GGC; KNR140; KNR140-01JPC; KNR140-02JPC; KNR140-12JPC; KNR140-2-12JPC; KNR140-2-22JPC; KNR140-22JPC; KNR140-2-30GGC; KNR140-2-51GGC; KNR140-26GGC; KNR140-30GGC; KNR140-37JPC; KNR140-39GGC; KNR140-43GGC; KNR140-50GGC; KNR140-51GGC; KNR140-56GGC; KNR140-66GGC; KNR159-5; KNR159-5-36GGC; KNR159-5-78GGC; KNR176-17GC; KNR178; KNR178-2GGC; KNR178-32JPC; KNR195-5-CDH23; KNR195-5-CDH26; KNR195-5-CDH41; KNR195-5-GGC43; KNR197-10; KNR197-10CDH42; KNR197-10-CDH42; KNR197-10-CDH46; KNR197-10-GGC17; KNR197-10-GGC36; KNR197-10-GGC5; KNR198-CDH36; KNR198-GGC15; KNR31GPC5; KNR733P; KNR734P; KNR736P; KOL; KOMEX; KOMEX II; KR02-15-PC06; Kronotsky Peninsula; KT89-18-P4; Lakshadweep Sea; Laurentian fan; Leg145; Leg146; Leg167; Leg202; Leg64; Le Suroît; LPAZ21P; LV27/GREGORY; LV27-2-4; LV29-114-3; LV29-2; M16/2; M23/2; Marion Dufresne (1972); Marion Dufresne (1995); Maurice Ewing; Mazatlan; MCSEIS; MD012378; MD01-2378; MD012386; MD01-2386; MD012416; MD01-2416; MD012420; MD01-2420; MD022489; MD02-2489; MD022519; MD02-2519; MD03-2697; MD03-2707; MD052896; MD05-2896; MD052904; MD05-2904; MD07-3076; MD07-3076Q; MD07-3088; MD08-3169; MD08-3180; MD09-3256; MD09-3256Q; MD09-3257; MD106; MD111; MD114; MD122; MD12-3396Cq; MD126; MD13; MD134; MD147; MD159; MD168; MD173; MD189; MD77-176; MD972106; MD97-2106; MD972120; MD97-2120; MD972121; MD97-2121; MD972138; MD97-2138; MD982165; MD98-2165; MD982181; MD98-2181; MD99-2334; ME0005A; ME0005A-24JC; ME0005A-43JC; Melville; Meteor (1986); ML1208-01PC; MONITOR MONSUN; MR01-K03; MR06-04_PC04A; MUC; Multichannel seismics; MultiCorer; MV99-GC38; MV99-MC17/GC32/PC10; MV99-MC19/GC31/PC08; NEMO; Nesmeyanov25-1-GGC15; Nesmeyanov25-1-GGC18; Nesmeyanov25-1-GGC20; Nesmeyanov25-1-GGC27; New_England_Seamounts; North Atlantic; North Greenland Sea; North Pacific/Gulf of California/BASIN; North Pacific Ocean; Northwest Atlantic; Norwegian Sea; OCE326-GGC14; OCE326-GGC26; OCE326-GGC5; off Chile; off Nova Scotia; OSIRIS III; Pacific Ocean; PALEOCINAT; PC; Philippine Sea; PICABIA; Piston corer; Piston corer (BGR type); Piston corer (Kiel type); PLDS-007G; PLDS-1; Pleiades; Polarstern; PS05; PS1243-2; PS2606-6; PS2644-2; PS30; PS30/144; PS31; PS31/160; PS69; PS69/907-2; PS69/912-3; PS69/912-4; PS75/059-2; PS75/100-4; PS75/104-1; PS75 BIPOMAC; PUCK; RAPiD-10-1P; RAPiD-15-4P; RAPiD-17-5P; RBDASS05; RC24; RC24-8GC; RC27; RC27-14; RC27-23; Remote operated vehicle; RETRO-2; RNDB-GGC15; RNDB-GGC5; RNDB-PC11; RNDB-PC13; Robert Conrad; ROV; RR0503-36JPC; RR0503-41JPC; RR0503-64JPC; RR0503-79JPC; RR0503-831C; RR0503-83GC; S67-FFC15; S794; S931; Sakhalin shelf and slope; Sars_Seamount; Scotia Sea; Sea of Okhotsk; SEDCO; Sediment corer; Shackleton_Fracture_Zone; SHAK03-6K; SHAK05-3K; SHAK06-4K; SHAK06-5K; SHAK10-10K; SHAK14-4G; Shirshov Ridge; SK129-CR2; SL; Smithsonian_48735.1; SO156/2; SO156/3; SO161/3; SO161/3_22; SO178; SO178-13-6; SO201/2; SO201-2-101; SO201-2-12KL; SO201-2-77; SO201-2-85; SO202/1; SO202/1_18-6; SO213/2; SO213/2_76-2; SO213/2_79-2; SO213/2_82-1; SO213/2_84-1; SO95; Sonne; SOPATRA; South Atlantic; South Atlantic Ocean; South China Sea; Southern Alaska Margin: Tectonics, Climate and Sedimentation; South of Iceland; South Pacific Ocean; South Tasman Rise; Southwest Pacific Ocean; SPOC; Station 6, MD189-3396; SU90-08; Thomas G. Thompson (1964); Thomas Washington; Timor Sea; TNO57-21; TR163-22; TR163-23; TR163-31; TT154-10; TTN13-18; TTXXX; U938; V34; V34-98; V35; V35-5; V35-6; Vema; Vigo; VINO19-4-GGC17; VINO19-4-GGC37; VM21-29; VM21-30; VM23-81; VM28-122; VM28-238; VNTR01; VNTR01-10GC; W8709A; W8709A-13; Wecoma
    Type: Dataset
    Format: text/tab-separated-values, 8 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 4
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    Unknown
    Global marine radiocarbon data compilation for the last deglaciation, global average estimates derived from spatial interpolations (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: Compiled marine radiocarbon data from the global ocean, derived from planktonic/benthic foraminifera and corals, spanning the last deglaciation, with associated calendar ages that are independently derived and/or are consistent with the Marine20 radiocarbon calibration curve. The data have been screened and include data flags pertaining to anomalous values (e.g. negative offsets relative to the contemporary atmosphere), low sedimentation rates 〈2 cm/kyr, and/or deviations from dominant regional-temporal trends. The data are further grouped by ocean basin, and according to their associated calendar ages as belonging to a succession of time slices across the last deglaciation: the Last Glacial Maximum (LGM), Heinrich Stadial 1 (HS1), the Bolling-Allerod (BA), the Younger Dryas, the Early Holocene (7-11ka BP), and the late Holocene (〈6 ka BP).
    Keywords: 0050PG; 0066PG; 145-887; 146-893A; 167-1019; 17/1GCA; 1K-SUERC; 1P-OS-75; 1P-SUERC; 202-1240; 22SL; 310-M0015A; 310-M0016A; 310-M0018A; 310-M0020A; 310-M0021A; 310-M0023A; 310-M0023B; 310-M0024A; 310-M0025A; 310-M0025B; 310-M0026A; 313-M0027A; 313-M0029A; 341-U1419; 35MF20120125, OISO_21, INDIEN SUD 2; 47396B; 4P-OS-75; 4P-SUERC; 50-37KL; 5P-OS-79; 5P-SUERC; 64-480; 90b; 94-609; AII125-8-55; AII125-8-56; AK-AA-1; Akademik M.A. Lavrentyev; AK-BC-2; AK-F-1; AK-L-1; ALIENOR; also published as VM28-122; ALV; ALV-3884; ALV-3885; ALV-3887; ALV-3890; ALV-3891; ALV-3892; ALV-4162; ALVIN; ANT-XI/4; ANT-XXIII/9; ANT-XXVI/2; ARA04-43E; Argentine Basin; ARK-II/5; ARK-X/2; AT07-35; AT12-01; Atlantis (1997); B34-91; BC; Bering Sea; BO04-PC11; Box corer; Brazil Basin; Burdwood_Bank; CALYPSO; CALYPSO2; Calypso Corer; Calypso Corer II; Calypso square corer; Calypso Square Core System; CASQ; CASQS; CD159; CD159-10; CD38-17P; CDRILL; Cenderawasih Bay; CH84-14; Charles Darwin; CHAT 10K; CHAT-10K; CHAT-16K; CHAT-3K; CHAT-5K; CHR-4; CHR-5; CHR-6; CHR-7; COMPCORE; Composite Core; Conrad Rise; Coral; Core; CORE; Core drilling; Corner Rise; DAPC2; deglacial; Denmark Strait; DH117; DH43; DH74; DP Hunter; DR23; DR27; DR34; DR35; DR38; DR40; Drake Passage; Dredge; DRG; DRILL; Drill9A_Tasmaloum; Drilling/drill rig; Eastern Equatorial Pacific; Eastern slope of Kurile Basin; East Pacific; EBA1; EBA10; EBA11; EBA2; EBA3; EBA4; EBA5; EBA6; EBA7; EBA8; EBA9; EBB1; EBB2; EBB3; EBB4; EBB5; EBB6; EBB7; ENG-111; Equatorial East Pacific; Equatorial Indian Ocean; ESTASE1; ET97-7T; EW0408; EW0408-26JC; EW0408-87JC; Exp310; Exp313; Exp341; f0001carcs; F2-92-P3; F8-90-G21; FLAMINGO; Foraminifera; GC; GC_POI; GeoB1503-1; GeoB2104-3; GeoB7149-2; GeoB7162-6; GeoB7163-7; GeoB7167-6; GEOSCIENCES, MARMARCORE; GGC; GGC5; gh02-1030; Giant box corer; Giant gravity corer; Giant piston corer; GIK23243-2 PS05/431; GIK23415-9; GKG; Glomar Challenger; GPC; Gramberg Seamount; Gravity corer; Gravity corer (Kiel type); Gravity corer (POI); GS07-150-20/2A; Gulf of California; H209; H213; HU72-021-3; HU72-021-7; HU89038-8PC; IMAGES I; IMAGES III - IPHIS; IMAGES IV-IPHIS III; IMAGES V; IMAGES VII - WEPAMA; IMAGES XII - MARCO POLO; IMAGES XV - Pachiderme; Indian Ocean; INOPEX; Interim_Seamount; James Cook; Japan Trench; JC094; JC094_GRM; Jean Charcot; JFA17; JFA2; JFA20; JFA24; JF-FI-19PC; Joides Resolution; JPC; JT96-09; JT96-09PC; Jumbo Piston Core; KAL; KALMAR II; Kasten corer; Kayd; KL; KN_USA; KN11002; KN159-5; Knorr; KNR110-50; KNR110-66; KNR110-82a; KNR110-82GGC; KNR140; KNR140-01JPC; KNR140-02JPC; KNR140-12JPC; KNR140-2-12JPC; KNR140-2-22JPC; KNR140-22JPC; KNR140-2-30GGC; KNR140-2-51GGC; KNR140-26GGC; KNR140-30GGC; KNR140-37JPC; KNR140-39GGC; KNR140-43GGC; KNR140-50GGC; KNR140-51GGC; KNR140-56GGC; KNR140-66GGC; KNR159-5; KNR159-5-78GGC; KNR176-17GC; KNR176-2; KNR176-2-JPC30; KNR178; KNR178-2GGC; KNR178-32JPC; KNR195-5-CDH23; KNR195-5-CDH26; KNR195-5-CDH41; KNR195-5-GGC43; KNR197-10; KNR197-10CDH42; KNR197-10-CDH42; KNR197-10-CDH46; KNR197-10-GGC17; KNR197-10-GGC5; KNR198-CDH36; KNR198-GGC15; KNR198-GGC35; KNR31GPC5; KNR73-3PC; KNR73-4PC; KNR73-6PG; KOL; KOMEX; KOMEX II; KR02-15-PC06; Kronotsky Peninsula; KT89-18-P4; Lakshadweep Sea; Laurentian fan; Leg145; Leg146; Leg167; Leg202; Leg64; Leg94; Le Suroît; LMG06-05-9; LPAZ21P; LV27/GREGORY; LV27-2-4; LV29-114-3; LV29-2; M16/2; M17/2; M23/2; marine; Marion Dufresne (1972); Marion Dufresne (1995); MAT-1A; MAT-3A; Maurice Ewing; MD012386; MD01-2386; MD012420; MD01-2420; MD01-2461; MD02-2461; MD022489; MD02-2489; MD03-2697; MD03-2707; MD04-2829CQ; MD04-2845; MD052896; MD05-2896; MD052904; MD05-2904; MD07-3076; MD07-3076Q; MD07-3088; MD08-3169; MD09-3256; MD09-3256Q; MD09-3257; MD101; MD106; MD111; MD114; MD122; MD123; MD12-3396Cq; MD13; MD134; MD141; MD147; MD159; MD173; MD189; MD77-176; MD952002; MD95-2002; MD952007; MD95-2007; MD972106; MD97-2106; MD972121; MD97-2121; MD972138; MD97-2138; MD982165; MD98-2165; MD982181; MD98-2181; MD99-2331; MD99-2334; ME0005-24JC; Melville; Meriadzec; Meteor (1986); ML1208-01PC; MR01-K03; MR06-04_PC04A; MUC; MULT; MultiCorer; Multiple investigations; Mururoa; MV1007; MV1007-DO3; MV99-GC31; MV99-GC38; MV99-MC17/GC32/PC10; MV99-MC19; MV99-PC08; NA064-117-1; NA064-118-1; NA87-22; Nathaniel B. Palmer; NBP0805; NBP0805-DR23; NBP0805-DR27; NBP0805-DR34; NBP0805-DR35; NBP0805-DR36; NBP0805-DR38; NBP0805-DR40; NBP0805-TB04; NBP1103; NBP1103-DH07; NBP1103-DH112; NBP1103-DH113; NBP1103-DH115; NBP1103-DH117; NBP1103-DH120; NBP1103-DH134; NBP1103-DH14; NBP1103-DH140; NBP1103-DH143; NBP1103-DH15; NBP1103-DH22; NBP1103-DH43; NBP1103-DH74; NBP1103-DH95; Nesmeyanov25-1-GGC15; Nesmeyanov25-1-GGC18; Nesmeyanov25-1-GGC20; Nesmeyanov25-1-GGC27; New England Mountains; New Jersey Shallow Shelf; North Atlantic; North Atlantic/FLANK; Northeast Atlantic; North East Atlantic; North Pacific/Gulf of California/BASIN; North Pacific Ocean; Northwest Atlantic; Norwegian Sea; OCE326-GGC14; OCE326-GGC26; OCE326-GGC5; off Chile; off Nova Scotia; OK-3; OK-8; OKB-36A; OKB-53B; OKB-B3; OSIRIS III; Pacific Ocean; PALEOCINAT; PALEOCINAT II; papua; PC; PC75-1; PC75-2; Philippine Sea; PICABIA; Piston corer; Piston corer (BGR type); Piston corer (Kiel type); PLDS-007G; PLDS-1; Pleiades; Polarstern; PS05; PS1243-2; PS2606-6; PS2644-5; PS30; PS30/144; PS31; PS31/160-5; PS69; PS69/907-2; PS69/912-3; PS69/912-4; PS75/059-2; PS75/100-4; PS75/104-1; PS75 BIPOMAC; PUCK; radiocarbon dates; RAPiD-10-1P; RBDASS05; RBDASS05_H11; RBDASS05_H15; RC11; RC1112; RC11-238; RC24; RC24-8GC; RC27; RC27-14; RC27-23; Remote operated vehicle; Remote operated vehicle Jason II; RETRO-2; RGF_Barbados; RGF-12; RGF-15; RGF-16; RGF-9; RNDB-GGC15; RNDB-GGC5; RNDB-PC11; RNDB-PC13; Robert Conrad; ROV; ROVJ; RR0503-06JPC; RR0503-36JPC; RR0503-64JPC; RR0503-79JPC; RR0503-831C; RR0503-83GC; S67-FFC15; S794; S931; S938; Sakhalin shelf and slope; Sars_Seamount; SC4_ST2_SW2_SX1; Scotia Sea; Sea of Okhotsk; SEDCO; Sediment corer; Shackleton_Fracture_Zone; SHAK03-6K; SHAK05-3K; SHAK06-4K; SHAK10-10K; SHAK14-4G; Shirshov Ridge; Sindhu Sadhana; Site_1471; Site_2088; Site_21210009; Site_2307; Site_2631; Site_2657; Site_2706; Site_2774; Site_47396; Site_654; Site_660; Site_936; SK129-CR2; SL; Smithsonian_48735.1; SO156/2; SO156/3; SO161/5; SO161/5_22SL; SO178; SO178-13-6; SO201/2; SO201-2-101; SO201-2-12KL; SO201-2-77; SO201-2-85; SO202/1; SO202/1_18-6; SO213/2; SO213/2_76-2; SO213/2_79-2; SO213/2_82-1; SO213/2_84-1; Sonne; SOPATRA; South Atlantic; South Atlantic Ocean; South China Sea; Southern Alaska Margin: Tectonics, Climate and Sedimentation; South of Iceland; South Pacific Ocean; South Tasman Rise; Southwest Pacific; Southwest Pacific Ocean; SPOC; SS152; SS172; SSD-044; SSD044_GC-01; Station 6, MD189-3396; St Kildas Basin; SU90-08; SU92; SU92-03; Submersible Alvin; TAH-01A-3A; TAH-02A-4F; TAH-02A-4G; TAH-02A-4H; TAH-02A-5D; TAH-02A-5F; TAH-02A-5G; TAH-02A-5H; TAH-03A-1; TAH-03A-1A; TAH-03A-1E; Tahiti, offshore Faaa; Tahiti, offshore Maraa; Tahiti, offshore Tiarei; Tahiti Sea Level; Ta-P6; Ta-P7; Ta-P8; Tasman Sea; Thomas G. Thompson; Thomas G. Thompson (1964); Thomas Washington; TN228; TN228_J2_382; TN228_J2_383; TN228_J2_387; TN228_J2_389; TN228_J2_393; TN228_J2_395; TNO57-21; TR163-22; TR163-23; TR163-31; TROPICS; TT154-10; TTN013-18; TTXXX; U938; U939; urlepa; V19; V19-27; V21; V21-40; V28; V28-122; V28-238; V34; V34-98; V35; V35-5; V35-6; VAY1; VEM1_8; Vema; ventilation; Vigo; VINO19-4-GGC17; VINO19-4GGC-37; VINO19-4-GGC37; VM21-30; VNTR01; VNTR01-10GC; Vuolep Allakasjaure; W8709A; W8709A-13; Wecoma
    Type: Dataset
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 11.1 kBytes
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 5
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    Glacier mass balance Hallstätter Gletscher, Dachstein, Austria, 2022/2023 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: The annual glacier mass balance of Hallstätter Gletscher in Austria is measured since 1.10.2006 with the direct glaciological method in the fixed date system (1.10. to 30. 09. of the following year). The accumulation of snow is measured by determination of the water equivalent in 6 snow pits, the ice ablation is measured with 15 stakes drilled into the ice. Results are the annual net mass balance in kg, the total accumulation and ablation, the glacier area and the portions of the area which are subject to ablation and accumulation, the elevation of the equilibrium line and the specific mass balance in kg/m² (= mm w.e.). The accumulation during the winter is determined by the 1 May. The project is funded by the Federal Government of Upper Austria. The measurements are carried out the Institute for Interdisciplinary Mountain Research of the Austrian Academy of Sciences and the company Blue Sky in Gmunden, Austria.
    Keywords: Ablation area; Accumulation area ratio; Alps; Austria; Dachstein; DATE/TIME; Equilibrium line altitude; Glacier mass balance; Glaciers_austria; Hallstätter Gletscher, Dachstein, Austria; HSG; Mass balance, total; Mass balance in ablation area; Mass balance in accumulation area; Specific mass balance; Specific mass balance, summer; Specific mass balance, winter; Specific mass balance in the ablation area; Specific mass balance in the accumulation area; Total area
    Type: Dataset
    Format: text/tab-separated-values, 13 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 6
    facet.materialart.
    Unknown
    Global marine radiocarbon data compilation for the last deglaciation (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: Compiled marine radiocarbon data from the global ocean, derived from planktonic/benthic foraminifera and corals, spanning the last deglaciation, with associated calendar ages that are independently derived and/or are consistent with the Marine20 radiocarbon calibration curve. The data have been screened and include data flags pertaining to anomalous values (e.g. negative offsets relative to the contemporary atmosphere), low sedimentation rates 〈2 cm/kyr, and/or deviations from dominant regional-temporal trends. The data are further grouped by ocean basin, and according to their associated calendar ages as belonging to a succession of time slices across the last deglaciation: the Last Glacial Maximum (LGM), Heinrich Stadial 1 (HS1), the Bolling-Allerod (BA), the Younger Dryas, the Early Holocene (7-11ka BP), and the late Holocene (〈6 ka BP).
    Keywords: 0050PG; 0066PG; 145-887; 146-893A; 167-1019; 17/1GCA; 1K-SUERC; 1P-OS-75; 1P-SUERC; 202-1240; 22SL; 310-M0015A; 310-M0016A; 310-M0018A; 310-M0020A; 310-M0021A; 310-M0023A; 310-M0023B; 310-M0024A; 310-M0025A; 310-M0025B; 310-M0026A; 313-M0027A; 313-M0029A; 341-U1419; 35MF20120125, OISO_21, INDIEN SUD 2; 47396B; 4P-OS-75; 4P-SUERC; 50-37KL; 5P-OS-79; 5P-SUERC; 64-480; 90b; 94-609; Age, 14C AMS; Age, comment; Age, dated; Age, dated standard error; Age, difference; Age, difference error; AII125-8-55; AII125-8-56; AK-AA-1; Akademik M.A. Lavrentyev; AK-BC-2; AK-F-1; AK-L-1; ALIENOR; also published as VM28-122; ALV; ALV-3884; ALV-3885; ALV-3887; ALV-3890; ALV-3891; ALV-3892; ALV-4162; ALVIN; ANT-XI/4; ANT-XXIII/9; ANT-XXVI/2; ARA04-43E; Argentine Basin; ARK-II/5; ARK-X/2; AT07-35; AT12-01; Atlantis (1997); B34-91; Basin; BC; Bering Sea; BO04-PC11; Box corer; Brazil Basin; Burdwood_Bank; calculated, 1 sigma; Calendar age; Calendar age, standard error; CALYPSO; CALYPSO2; Calypso Corer; Calypso Corer II; Calypso square corer; Calypso Square Core System; CASQ; CASQS; CD159; CD159-10; CD38-17P; CDRILL; Cenderawasih Bay; CH84-14; Charles Darwin; CHAT 10K; CHAT-10K; CHAT-16K; CHAT-3K; CHAT-5K; CHR-4; CHR-5; CHR-6; CHR-7; Comment; COMPCORE; Composite Core; Conrad Rise; Coral; Core; CORE; Core drilling; Corner Rise; DAPC2; deglacial; Denmark Strait; DH117; DH43; DH74; DP Hunter; DR23; DR27; DR34; DR35; DR38; DR40; Drake Passage; Dredge; DRG; DRILL; Drill9A_Tasmaloum; Drilling/drill rig; Eastern Equatorial Pacific; Eastern slope of Kurile Basin; East Pacific; EBA1; EBA10; EBA11; EBA2; EBA3; EBA4; EBA5; EBA6; EBA7; EBA8; EBA9; EBB1; EBB2; EBB3; EBB4; EBB5; EBB6; EBB7; ELEVATION; ENG-111; Equatorial East Pacific; Equatorial Indian Ocean; ESTASE1; ET97-7T; Event label; EW0408; EW0408-26JC; EW0408-87JC; Exp310; Exp313; Exp341; f0001carcs; F2-92-P3; F8-90-G21; Flag; FLAMINGO; Foraminifera; GC; GC_POI; GeoB1503-1; GeoB2104-3; GeoB7149-2; GeoB7162-6; GeoB7163-7; GeoB7167-6; Geological time slice; GEOSCIENCES, MARMARCORE; GGC; GGC5; gh02-1030; Giant box corer; Giant gravity corer; Giant piston corer; GIK23243-2 PS05/431; GIK23415-9; GKG; Glomar Challenger; GPC; Gramberg Seamount; Gravity corer; Gravity corer (Kiel type); Gravity corer (POI); GS07-150-20/2A; Gulf of California; H209; H213; HU72-021-3; HU72-021-7; HU89038-8PC; IMAGES I; IMAGES III - IPHIS; IMAGES IV-IPHIS III; IMAGES V; IMAGES VII - WEPAMA; IMAGES XII - MARCO POLO; IMAGES XV - Pachiderme; Indian Ocean; INOPEX; Interim_Seamount; James Cook; Japan Trench; JC094; JC094_GRM; Jean Charcot; JFA17; JFA2; JFA20; JFA24; JF-FI-19PC; Joides Resolution; JPC; JT96-09; JT96-09PC; Jumbo Piston Core; KAL; KALMAR II; Kasten corer; Kayd; KL; KN_USA; KN11002; KN159-5; Knorr; KNR110-50; KNR110-66; KNR110-82a; KNR110-82GGC; KNR140; KNR140-01JPC; KNR140-02JPC; KNR140-12JPC; KNR140-2-12JPC; KNR140-2-22JPC; KNR140-22JPC; KNR140-2-30GGC; KNR140-2-51GGC; KNR140-26GGC; KNR140-30GGC; KNR140-37JPC; KNR140-39GGC; KNR140-43GGC; KNR140-50GGC; KNR140-51GGC; KNR140-56GGC; KNR140-66GGC; KNR159-5; KNR159-5-78GGC; KNR176-17GC; KNR176-2; KNR176-2-JPC30; KNR178; KNR178-2GGC; KNR178-32JPC; KNR195-5-CDH23; KNR195-5-CDH26; KNR195-5-CDH41; KNR195-5-GGC43; KNR197-10; KNR197-10CDH42; KNR197-10-CDH42; KNR197-10-CDH46; KNR197-10-GGC17; KNR197-10-GGC5; KNR198-CDH36; KNR198-GGC15; KNR198-GGC35; KNR31GPC5; KNR73-3PC; KNR73-4PC; KNR73-6PG; KOL; KOMEX; KOMEX II; KR02-15-PC06; Kronotsky Peninsula; KT89-18-P4; Lakshadweep Sea; LATITUDE; Laurentian fan; Leg145; Leg146; Leg167; Leg202; Leg64; Leg94; Le Suroît; LMG06-05-9; LONGITUDE; LPAZ21P; LV27/GREGORY; LV27-2-4; LV29-114-3; LV29-2; M16/2; M17/2; M23/2; marine; Marion Dufresne (1972); Marion Dufresne (1995); MAT-1A; MAT-3A; Maurice Ewing; MD012386; MD01-2386; MD012420; MD01-2420; MD01-2461; MD02-2461; MD022489; MD02-2489; MD03-2697; MD03-2707; MD04-2829CQ; MD04-2845; MD052896; MD05-2896; MD052904; MD05-2904; MD07-3076; MD07-3076Q; MD07-3088; MD08-3169; MD09-3256; MD09-3256Q; MD09-3257; MD101; MD106; MD111; MD114; MD122; MD123; MD12-3396Cq; MD13; MD134; MD141; MD147; MD159; MD173; MD189; MD77-176; MD952002; MD95-2002; MD952007; MD95-2007; MD972106; MD97-2106; MD972121; MD97-2121; MD972138; MD97-2138; MD982165; MD98-2165; MD982181; MD98-2181; MD99-2331; MD99-2334; ME0005-24JC; Melville; Meriadzec; Meteor (1986); ML1208-01PC; MR01-K03; MR06-04_PC04A; MUC; MULT; MultiCorer; Multiple investigations; Mururoa; MV1007; MV1007-DO3; MV99-GC31; MV99-GC38; MV99-MC17/GC32/PC10; MV99-MC19; MV99-PC08; NA064-117-1; NA064-118-1; NA87-22; Nathaniel B. Palmer; NBP0805; NBP0805-DR23; NBP0805-DR27; NBP0805-DR34; NBP0805-DR35; NBP0805-DR36; NBP0805-DR38; NBP0805-DR40; NBP0805-TB04; NBP1103; NBP1103-DH07; NBP1103-DH112; NBP1103-DH113; NBP1103-DH115; NBP1103-DH117; NBP1103-DH120; NBP1103-DH134; NBP1103-DH14; NBP1103-DH140; NBP1103-DH143; NBP1103-DH15; NBP1103-DH22; NBP1103-DH43; NBP1103-DH74; NBP1103-DH95; Nesmeyanov25-1-GGC15; Nesmeyanov25-1-GGC18; Nesmeyanov25-1-GGC20; Nesmeyanov25-1-GGC27; New England Mountains; New Jersey Shallow Shelf; North Atlantic; North Atlantic/FLANK; Northeast Atlantic; North East Atlantic; North Pacific/Gulf of California/BASIN; North Pacific Ocean; Northwest Atlantic; Norwegian Sea; OCE326-GGC14; OCE326-GGC26; OCE326-GGC5; off Chile; off Nova Scotia; OK-3; OK-8; OKB-36A; OKB-53B; OKB-B3; OSIRIS III; Pacific Ocean; PALEOCINAT; PALEOCINAT II; papua; PC; PC75-1; PC75-2; Philippine Sea; PICABIA; Piston corer; Piston corer (BGR type); Piston corer (Kiel type); PLDS-007G; PLDS-1; Pleiades; Polarstern; PS05; PS1243-2; PS2606-6; PS2644-5; PS30; PS30/144; PS31; PS31/160-5; PS69; PS69/907-2; PS69/912-3; PS69/912-4; PS75/059-2; PS75/100-4; PS75/104-1; PS75 BIPOMAC; PUCK; radiocarbon dates; RAPiD-10-1P; RBDASS05; RBDASS05_H11; RBDASS05_H15; RC11; RC1112; RC11-238; RC24; RC24-8GC; RC27; RC27-14; RC27-23; Record number; Reference/source; Remote operated vehicle; Remote operated vehicle Jason II; Reservoir age; Reservoir age, standard error; RETRO-2; RGF_Barbados; RGF-12; RGF-15; RGF-16; RGF-9; RNDB-GGC15; RNDB-GGC5; RNDB-PC11; RNDB-PC13; Robert Conrad; ROV; ROVJ; RR0503-06JPC; RR0503-36JPC; RR0503-64JPC; RR0503-79JPC; RR0503-831C; RR0503-83GC; S67-FFC15; S794; S931; S938; Sakhalin shelf and slope; Sars_Seamount; SC4_ST2_SW2_SX1; Scotia Sea; Sea of Okhotsk; SEDCO; Sedimentation rate; Sediment corer; Shackleton_Fracture_Zone; SHAK03-6K; SHAK05-3K; SHAK06-4K; SHAK10-10K; SHAK14-4G; Shirshov Ridge; Sindhu Sadhana; Site; Site_1471; Site_2088; Site_21210009; Site_2307; Site_2631; Site_2657; Site_2706; Site_2774; Site_47396; Site_654; Site_660; Site_936; SK129-CR2; SL; Smithsonian_48735.1; SO156/2; SO156/3; SO161/5; SO161/5_22SL; SO178; SO178-13-6; SO201/2; SO201-2-101; SO201-2-12KL; SO201-2-77; SO201-2-85; SO202/1; SO202/1_18-6; SO213/2; SO213/2_76-2; SO213/2_79-2; SO213/2_82-1; SO213/2_84-1; Sonne; SOPATRA; South Atlantic; South Atlantic Ocean; South China Sea; Southern Alaska Margin: Tectonics, Climate and Sedimentation; South of Iceland; South Pacific Ocean; South Tasman Rise; Southwest Pacific; Southwest Pacific Ocean; SPOC; SS152; SS172; SSD-044; SSD044_GC-01; Station 6, MD189-3396; St Kildas Basin; SU90-08; SU92; SU92-03; Submersible Alvin; TAH-01A-3A; TAH-02A-4F; TAH-02A-4G; TAH-02A-4H; TAH-02A-5D; TAH-02A-5F; TAH-02A-5G; TAH-02A-5H; TAH-03A-1; TAH-03A-1A; TAH-03A-1E; Tahiti, offshore Faaa; Tahiti, offshore Maraa; Tahiti, offshore Tiarei; Tahiti Sea Level; Ta-P6; Ta-P7; Ta-P8; Tasman Sea; Thomas G. Thompson; Thomas G. Thompson (1964); Thomas Washington; TN228; TN228_J2_382; TN228_J2_383; TN228_J2_387; TN228_J2_389; TN228_J2_393; TN228_J2_395; TNO57-21; TR163-22; TR163-23; TR163-31; TROPICS; TT154-10; TTN013-18; TTXXX; U938; U939; urlepa; V19; V19-27; V21; V21-40; V28; V28-122; V28-238; V34; V34-98; V35; V35-5; V35-6; VAY1; VEM1_8; Vema; ventilation; Vigo; VINO19-4-GGC17; VINO19-4GGC-37; VINO19-4-GGC37; VM21-30; VNTR01; VNTR01-10GC; Vuolep Allakasjaure; W8709A; W8709A-13; Wecoma
    Type: Dataset
    Format: text/tab-separated-values, 63496 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 7
    facet.materialart.
    Unknown
    Global marine radiocarbon data compilation for the last deglaciation, zonal averages for each major ocean basin and each deglacial time-slice (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: Compiled marine radiocarbon data from the global ocean, derived from planktonic/benthic foraminifera and corals, spanning the last deglaciation, with associated calendar ages that are independently derived and/or are consistent with the Marine20 radiocarbon calibration curve. The data have been screened and include data flags pertaining to anomalous values (e.g. negative offsets relative to the contemporary atmosphere), low sedimentation rates 〈2 cm/kyr, and/or deviations from dominant regional-temporal trends. The data are further grouped by ocean basin, and according to their associated calendar ages as belonging to a succession of time slices across the last deglaciation: the Last Glacial Maximum (LGM), Heinrich Stadial 1 (HS1), the Bolling-Allerod (BA), the Younger Dryas, the Early Holocene (7-11ka BP), and the late Holocene (〈6 ka BP).
    Keywords: 0050PG; 0066PG; 145-887; 146-893A; 167-1019; 17/1GCA; 1K-SUERC; 1P-OS-75; 1P-SUERC; 202-1240; 22SL; 310-M0015A; 310-M0016A; 310-M0018A; 310-M0020A; 310-M0021A; 310-M0023A; 310-M0023B; 310-M0024A; 310-M0025A; 310-M0025B; 310-M0026A; 313-M0027A; 313-M0029A; 341-U1419; 35MF20120125, OISO_21, INDIEN SUD 2; 47396B; 4P-OS-75; 4P-SUERC; 50-37KL; 5P-OS-79; 5P-SUERC; 64-480; 90b; 94-609; AII125-8-55; AII125-8-56; AK-AA-1; Akademik M.A. Lavrentyev; AK-BC-2; AK-F-1; AK-L-1; ALIENOR; also published as VM28-122; ALV; ALV-3884; ALV-3885; ALV-3887; ALV-3890; ALV-3891; ALV-3892; ALV-4162; ALVIN; ANT-XI/4; ANT-XXIII/9; ANT-XXVI/2; ARA04-43E; Argentine Basin; ARK-II/5; ARK-X/2; AT07-35; AT12-01; Atlantis (1997); B34-91; BC; Bering Sea; BO04-PC11; Box corer; Brazil Basin; Burdwood_Bank; CALYPSO; CALYPSO2; Calypso Corer; Calypso Corer II; Calypso square corer; Calypso Square Core System; CASQ; CASQS; CD159; CD159-10; CD38-17P; CDRILL; Cenderawasih Bay; CH84-14; Charles Darwin; CHAT 10K; CHAT-10K; CHAT-16K; CHAT-3K; CHAT-5K; CHR-4; CHR-5; CHR-6; CHR-7; COMPCORE; Composite Core; Conrad Rise; Coral; Core; CORE; Core drilling; Corner Rise; DAPC2; deglacial; Denmark Strait; DH117; DH43; DH74; DP Hunter; DR23; DR27; DR34; DR35; DR38; DR40; Drake Passage; Dredge; DRG; DRILL; Drill9A_Tasmaloum; Drilling/drill rig; Eastern Equatorial Pacific; Eastern slope of Kurile Basin; East Pacific; EBA1; EBA10; EBA11; EBA2; EBA3; EBA4; EBA5; EBA6; EBA7; EBA8; EBA9; EBB1; EBB2; EBB3; EBB4; EBB5; EBB6; EBB7; ENG-111; Equatorial East Pacific; Equatorial Indian Ocean; ESTASE1; ET97-7T; EW0408; EW0408-26JC; EW0408-87JC; Exp310; Exp313; Exp341; f0001carcs; F2-92-P3; F8-90-G21; FLAMINGO; Foraminifera; GC; GC_POI; GeoB1503-1; GeoB2104-3; GeoB7149-2; GeoB7162-6; GeoB7163-7; GeoB7167-6; GEOSCIENCES, MARMARCORE; GGC; GGC5; gh02-1030; Giant box corer; Giant gravity corer; Giant piston corer; GIK23243-2 PS05/431; GIK23415-9; GKG; Glomar Challenger; GPC; Gramberg Seamount; Gravity corer; Gravity corer (Kiel type); Gravity corer (POI); GS07-150-20/2A; Gulf of California; H209; H213; HU72-021-3; HU72-021-7; HU89038-8PC; IMAGES I; IMAGES III - IPHIS; IMAGES IV-IPHIS III; IMAGES V; IMAGES VII - WEPAMA; IMAGES XII - MARCO POLO; IMAGES XV - Pachiderme; Indian Ocean; INOPEX; Interim_Seamount; James Cook; Japan Trench; JC094; JC094_GRM; Jean Charcot; JFA17; JFA2; JFA20; JFA24; JF-FI-19PC; Joides Resolution; JPC; JT96-09; JT96-09PC; Jumbo Piston Core; KAL; KALMAR II; Kasten corer; Kayd; KL; KN_USA; KN11002; KN159-5; Knorr; KNR110-50; KNR110-66; KNR110-82a; KNR110-82GGC; KNR140; KNR140-01JPC; KNR140-02JPC; KNR140-12JPC; KNR140-2-12JPC; KNR140-2-22JPC; KNR140-22JPC; KNR140-2-30GGC; KNR140-2-51GGC; KNR140-26GGC; KNR140-30GGC; KNR140-37JPC; KNR140-39GGC; KNR140-43GGC; KNR140-50GGC; KNR140-51GGC; KNR140-56GGC; KNR140-66GGC; KNR159-5; KNR159-5-78GGC; KNR176-17GC; KNR176-2; KNR176-2-JPC30; KNR178; KNR178-2GGC; KNR178-32JPC; KNR195-5-CDH23; KNR195-5-CDH26; KNR195-5-CDH41; KNR195-5-GGC43; KNR197-10; KNR197-10CDH42; KNR197-10-CDH42; KNR197-10-CDH46; KNR197-10-GGC17; KNR197-10-GGC5; KNR198-CDH36; KNR198-GGC15; KNR198-GGC35; KNR31GPC5; KNR73-3PC; KNR73-4PC; KNR73-6PG; KOL; KOMEX; KOMEX II; KR02-15-PC06; Kronotsky Peninsula; KT89-18-P4; Lakshadweep Sea; Laurentian fan; Leg145; Leg146; Leg167; Leg202; Leg64; Leg94; Le Suroît; LMG06-05-9; LPAZ21P; LV27/GREGORY; LV27-2-4; LV29-114-3; LV29-2; M16/2; M17/2; M23/2; marine; Marion Dufresne (1972); Marion Dufresne (1995); MAT-1A; MAT-3A; Maurice Ewing; MD012386; MD01-2386; MD012420; MD01-2420; MD01-2461; MD02-2461; MD022489; MD02-2489; MD03-2697; MD03-2707; MD04-2829CQ; MD04-2845; MD052896; MD05-2896; MD052904; MD05-2904; MD07-3076; MD07-3076Q; MD07-3088; MD08-3169; MD09-3256; MD09-3256Q; MD09-3257; MD101; MD106; MD111; MD114; MD122; MD123; MD12-3396Cq; MD13; MD134; MD141; MD147; MD159; MD173; MD189; MD77-176; MD952002; MD95-2002; MD952007; MD95-2007; MD972106; MD97-2106; MD972121; MD97-2121; MD972138; MD97-2138; MD982165; MD98-2165; MD982181; MD98-2181; MD99-2331; MD99-2334; ME0005-24JC; Melville; Meriadzec; Meteor (1986); ML1208-01PC; MR01-K03; MR06-04_PC04A; MUC; MULT; MultiCorer; Multiple investigations; Mururoa; MV1007; MV1007-DO3; MV99-GC31; MV99-GC38; MV99-MC17/GC32/PC10; MV99-MC19; MV99-PC08; NA064-117-1; NA064-118-1; NA87-22; Nathaniel B. Palmer; NBP0805; NBP0805-DR23; NBP0805-DR27; NBP0805-DR34; NBP0805-DR35; NBP0805-DR36; NBP0805-DR38; NBP0805-DR40; NBP0805-TB04; NBP1103; NBP1103-DH07; NBP1103-DH112; NBP1103-DH113; NBP1103-DH115; NBP1103-DH117; NBP1103-DH120; NBP1103-DH134; NBP1103-DH14; NBP1103-DH140; NBP1103-DH143; NBP1103-DH15; NBP1103-DH22; NBP1103-DH43; NBP1103-DH74; NBP1103-DH95; Nesmeyanov25-1-GGC15; Nesmeyanov25-1-GGC18; Nesmeyanov25-1-GGC20; Nesmeyanov25-1-GGC27; New England Mountains; New Jersey Shallow Shelf; North Atlantic; North Atlantic/FLANK; Northeast Atlantic; North East Atlantic; North Pacific/Gulf of California/BASIN; North Pacific Ocean; Northwest Atlantic; Norwegian Sea; OCE326-GGC14; OCE326-GGC26; OCE326-GGC5; off Chile; off Nova Scotia; OK-3; OK-8; OKB-36A; OKB-53B; OKB-B3; OSIRIS III; Pacific Ocean; PALEOCINAT; PALEOCINAT II; papua; PC; PC75-1; PC75-2; Philippine Sea; PICABIA; Piston corer; Piston corer (BGR type); Piston corer (Kiel type); PLDS-007G; PLDS-1; Pleiades; Polarstern; PS05; PS1243-2; PS2606-6; PS2644-5; PS30; PS30/144; PS31; PS31/160-5; PS69; PS69/907-2; PS69/912-3; PS69/912-4; PS75/059-2; PS75/100-4; PS75/104-1; PS75 BIPOMAC; PUCK; radiocarbon dates; RAPiD-10-1P; RBDASS05; RBDASS05_H11; RBDASS05_H15; RC11; RC1112; RC11-238; RC24; RC24-8GC; RC27; RC27-14; RC27-23; Remote operated vehicle; Remote operated vehicle Jason II; RETRO-2; RGF_Barbados; RGF-12; RGF-15; RGF-16; RGF-9; RNDB-GGC15; RNDB-GGC5; RNDB-PC11; RNDB-PC13; Robert Conrad; ROV; ROVJ; RR0503-06JPC; RR0503-36JPC; RR0503-64JPC; RR0503-79JPC; RR0503-831C; RR0503-83GC; S67-FFC15; S794; S931; S938; Sakhalin shelf and slope; Sars_Seamount; SC4_ST2_SW2_SX1; Scotia Sea; Sea of Okhotsk; SEDCO; Sediment corer; Shackleton_Fracture_Zone; SHAK03-6K; SHAK05-3K; SHAK06-4K; SHAK10-10K; SHAK14-4G; Shirshov Ridge; Sindhu Sadhana; Site_1471; Site_2088; Site_21210009; Site_2307; Site_2631; Site_2657; Site_2706; Site_2774; Site_47396; Site_654; Site_660; Site_936; SK129-CR2; SL; Smithsonian_48735.1; SO156/2; SO156/3; SO161/5; SO161/5_22SL; SO178; SO178-13-6; SO201/2; SO201-2-101; SO201-2-12KL; SO201-2-77; SO201-2-85; SO202/1; SO202/1_18-6; SO213/2; SO213/2_76-2; SO213/2_79-2; SO213/2_82-1; SO213/2_84-1; Sonne; SOPATRA; South Atlantic; South Atlantic Ocean; South China Sea; Southern Alaska Margin: Tectonics, Climate and Sedimentation; South of Iceland; South Pacific Ocean; South Tasman Rise; Southwest Pacific; Southwest Pacific Ocean; SPOC; SS152; SS172; SSD-044; SSD044_GC-01; Station 6, MD189-3396; St Kildas Basin; SU90-08; SU92; SU92-03; Submersible Alvin; TAH-01A-3A; TAH-02A-4F; TAH-02A-4G; TAH-02A-4H; TAH-02A-5D; TAH-02A-5F; TAH-02A-5G; TAH-02A-5H; TAH-03A-1; TAH-03A-1A; TAH-03A-1E; Tahiti, offshore Faaa; Tahiti, offshore Maraa; Tahiti, offshore Tiarei; Tahiti Sea Level; Ta-P6; Ta-P7; Ta-P8; Tasman Sea; Thomas G. Thompson; Thomas G. Thompson (1964); Thomas Washington; TN228; TN228_J2_382; TN228_J2_383; TN228_J2_387; TN228_J2_389; TN228_J2_393; TN228_J2_395; TNO57-21; TR163-22; TR163-23; TR163-31; TROPICS; TT154-10; TTN013-18; TTXXX; U938; U939; urlepa; V19; V19-27; V21; V21-40; V28; V28-122; V28-238; V34; V34-98; V35; V35-5; V35-6; VAY1; VEM1_8; Vema; ventilation; Vigo; VINO19-4-GGC17; VINO19-4GGC-37; VINO19-4-GGC37; VM21-30; VNTR01; VNTR01-10GC; Vuolep Allakasjaure; W8709A; W8709A-13; Wecoma
    Type: Dataset
    Format: application/x-hdf, 493.1 kBytes
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  • 8
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    Glacier mass balance Hallstätter Gletscher, Dachstein, Austria, 2019/20 (2021)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: The annual glacier mass balance of Hallstätter Gletscher in Austria is measured since 1.10.2006 with the direct glaciological method in the fixed date system (1.10. to 30. 09. of the following year). The accumulation of snow is measured by determination of the water equivalent in 6 snow pits, the ice ablation is measured with 15 stakes drilled into the ice. Results are the annual net mass balance in kg, the total accumulation and ablation, the glacier area and the portions of the area which are subject to ablation and accumulation, the elevation of the equilibrium line and the specific mass balance in kg/m² (= mm w.e.). The accumulation during the winter is determined by the 1 May. The project is funded by the Federal Government of Upper Austria. The measurements are carried out the Institute for Interdisciplinary Mountain Research of the Austrian Academy of Sciences and the company Blue Sky in Gmunden, Austria.
    Keywords: Ablation area; Accumulation area; Accumulation area ratio; DATE/TIME; Equilibrium line altitude; Glaciers Austria; Hallstätter Gletscher, Dachstein, Austria; HSG; Mass balance, total; Mass balance in ablation area; Mass balance in accumulation area; Specific mass balance; Specific mass balance, summer; Specific mass balance, winter; Specific mass balance in the ablation area; Specific mass balance in the accumulation area; Total area
    Type: Dataset
    Format: text/tab-separated-values, 13 data points
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  • 9
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    Elevation zones Hallstätter Gletscher, Dachstein, Austria, 2020/2021 (2022)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: The annual glacier mass balance of Hallstätter Gletscher in Austria is measured since 1.10.2006 with the direct glaciological method in the fixed date system (1.10. to 30. 09. of the following year). The accumulation of snow is measured by determination of the water equivalent in 6 snow pits, the ice ablation is measured with 15 stakes drilled into the ice. Results are the annual net mass balance in kg, the total accumulation and ablation, the glacier area and the portions of the area which are subject to ablation and accumulation, the elevation of the equilibrium line and the specific mass balance in kg/m² (= mm w.e.). The accumulation during the winter is determined by the 1 May. The project is funded by the Federal Government of Upper Austria. The measurements are carried out the Institute for Interdisciplinary Mountain Research of the Austrian Academy of Sciences and the company Blue Sky in Gmunden, Austria.
    Keywords: DATE/TIME; Elevation, maximum; Elevation, minimum; Glaciers Austria; Hallstätter Gletscher, Dachstein, Austria; HSG; Mass balance, total of the altitude zone; Specific mass balance of the altitude zone; Specific mass balance of the altitude zone, summer; Specific mass balance of the altitude zone, winter; Total area of the altitude zone
    Type: Dataset
    Format: text/tab-separated-values, 98 data points
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  • 10
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    Laser dust logging of the EPICA Dome C borehole (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: We deployed a laser dust logger in the EPICA Dome C Ice Core (EDC) borehole in order to obtain a detailed record of dust and ash in order to study the particulate stratigraphy, volcanology, glaciology and climatology at the site. The Dust Logger device is described in detail elsewhere, most recently here: Journal of Glaciology, Volume 59, Issue 218 (2013) pp. 1117 - 1128, DOI: https://doi.org/10.3189/2013JoG13J068. Because the borehole fluid was turbid at the time of the log, the resolution of the instrument was much lower (〉10 cm) than the nominal 2-3 mm thickness of the laser line. The instrument is lowered into the borehole and retrieved using a surface logging winch over the course of several hours. Data are acquired at the surface in real time using telemetry with the logger over the deployment cable. A small correction has been applied to compensate for the temperature dependence of the laser brightness.
    Keywords: Backscatter intensity signal; borehole logging; DEPTH, ice/snow; Dome C; Dome C, Antarctica; Downhole logging; Dust logger; EDC; EPICA; EPICA Dome C; European Project for Ice Coring in Antarctica; Ice core; ICEDRILL; Ice drill
    Type: Dataset
    Format: text/tab-separated-values, 817079 data points
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  • 11
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    Elevation zones Hallstätter Gletscher, Dachstein, Austria, 2019/2020 (2021)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: The annual glacier mass balance of Hallstätter Gletscher in Austria is measured since 1.10.2006 with the direct glaciological method in the fixed date system (1.10. to 30. 09. of the following year). The accumulation of snow is measured by determination of the water equivalent in 6 snow pits, the ice ablation is measured with 15 stakes drilled into the ice. Results are the annual net mass balance in kg, the total accumulation and ablation, the glacier area and the portions of the area which are subject to ablation and accumulation, the elevation of the equilibrium line and the specific mass balance in kg/m² (= mm w.e.). The accumulation during the winter is determined by the 1 May. The project is funded by the Federal Government of Upper Austria. The measurements are carried out the Institute for Interdisciplinary Mountain Research of the Austrian Academy of Sciences and the company Blue Sky in Gmunden, Austria.
    Keywords: DATE/TIME; Elevation, maximum; Elevation, minimum; Glaciers Austria; Hallstätter Gletscher, Dachstein, Austria; HSG; Mass balance, total of the altitude zone; Specific mass balance of the altitude zone; Specific mass balance of the altitude zone, summer; Specific mass balance of the altitude zone, winter; Total area of the altitude zone
    Type: Dataset
    Format: text/tab-separated-values, 98 data points
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  • 12
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    Measured values of Li/Mg, Mg/Ca, Sr/Ca, Ba/Ca, U/Ca and Sr-U for coral and coralline algae paleothermometer calibrations (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: A comprehensive georeferenced database of measured values of Li/Mg, Mg/Ca, Sr/Ca, Ba/Ca, U/Ca and Sr-U in coral and coralline algae compiled from the scientific literature (1950-2021; http://www.webofknowledge.com, accessed 2022-09-30).
    Keywords: aragonite; Ba/Ca; Barium/Calcium ratio; Comment; coralline algae; Corals; Coral Sr‐U thermometry according to DeCarlo et al. (2016); Data source; DEPTH, water; Depth zone; Ecoprovince; Ecoprovince, code; Ecoregion; Ecoregion, code; high-Mg calcitic corals; Identification; LATITUDE; Li/Mg; Lithium/Magnesium ratio; LONGITUDE; Magnesium/Calcium ratio; Manganese/Calcium ratio; Method comment; Mg/Ca; Minerals; octocorals; paleotemperature proxy; pH; Phosphorus/Calcium ratio; Publication of data; Reference/source; Salinity; Sample ID; seawater barium; see Method comment; Sr/Ca; Sr-U; Strontium/Calcium ratio; Strontium-Uranium; Sulfur/Calcium ratio; Taxon/taxa; Taxon/taxa, unique identification; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); Temperature, water; U/Ca; Uranium/Calcium ratio; Years
    Type: Dataset
    Format: text/tab-separated-values, 49576 data points
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  • 13
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    Glacier mass balance Hallstätter Gletscher 2018/19, Dachstein, Austria (2020)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: The annual glacier mass balance of Hallstätter Gletscher in Austria is measured since 1.10.2006 with the direct glaciological method in the fixed date system (1.10. to 30. 09. of the following year). The accumulation of snow is measured by determination of the water equivalent in 6 snow pits, the ice ablation is measured with 15 stakes drilled into the ice. Results are the annual net mass balance in kg, the total accumulation and ablation, the glacier area and the portions of the area which are subject to ablation and accumulation, the elevation of the equilibrium line and the specific mass balance in kg/m² (= mm w.e.). The accumulation during the winter is determined by the 1 May. The project is funded by the Federal Government of Upper Austria. The measurements are carried out the Institute for Interdisciplinary Mountain Research of the Austrian Academy of Sciences and the company Blue Sky in Gmunden, Austria.
    Keywords: Ablation area; Accumulation area; Accumulation area ratio; DATE/TIME; Equilibrium line altitude; Glaciers Austria; Hallstätter Gletscher, Dachstein, Austria; HSG; Mass balance, total; Mass balance in ablation area; Mass balance in accumulation area; Specific mass balance; Specific mass balance, summer; Specific mass balance, winter; Specific mass balance in the ablation area; Specific mass balance in the accumulation area; Total area
    Type: Dataset
    Format: text/tab-separated-values, 13 data points
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  • 14
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    Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2023-11-28 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 1754 data points
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  • 15
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    Global marine radiocarbon data compilation for the last deglaciation, spline dataset (2023)
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    Details
    Publication Date: 2024-07-11
    Description: Compiled marine radiocarbon data from the global ocean, derived from planktonic/benthic foraminifera and corals, spanning the last deglaciation, with associated calendar ages that are independently derived and/or are consistent with the Marine20 radiocarbon calibration curve. The data have been screened and include data flags pertaining to anomalous values (e.g. negative offsets relative to the contemporary atmosphere), low sedimentation rates 〈2 cm/kyr, and/or deviations from dominant regional-temporal trends. The data are further grouped by ocean basin, and according to their associated calendar ages as belonging to a succession of time slices across the last deglaciation: the Last Glacial Maximum (LGM), Heinrich Stadial 1 (HS1), the Bolling-Allerod (BA), the Younger Dryas, the Early Holocene (7-11ka BP), and the late Holocene (〈6 ka BP).
    Keywords: 0050PG; 0066PG; 145-887; 146-893A; 167-1019; 17/1GCA; 1K-SUERC; 1P-OS-75; 1P-SUERC; 202-1240; 22SL; 310-M0015A; 310-M0016A; 310-M0018A; 310-M0020A; 310-M0021A; 310-M0023A; 310-M0023B; 310-M0024A; 310-M0025A; 310-M0025B; 310-M0026A; 313-M0027A; 313-M0029A; 341-U1419; 35MF20120125, OISO_21, INDIEN SUD 2; 47396B; 4P-OS-75; 4P-SUERC; 50-37KL; 5P-OS-79; 5P-SUERC; 64-480; 90b; 94-609; AII125-8-55; AII125-8-56; AK-AA-1; Akademik M.A. Lavrentyev; AK-BC-2; AK-F-1; AK-L-1; ALIENOR; also published as VM28-122; ALV; ALV-3884; ALV-3885; ALV-3887; ALV-3890; ALV-3891; ALV-3892; ALV-4162; ALVIN; ANT-XI/4; ANT-XXIII/9; ANT-XXVI/2; ARA04-43E; Argentine Basin; ARK-II/5; ARK-X/2; AT07-35; AT12-01; Atlantis (1997); B34-91; BC; Bering Sea; BO04-PC11; Box corer; Brazil Basin; Burdwood_Bank; CALYPSO; CALYPSO2; Calypso Corer; Calypso Corer II; Calypso square corer; Calypso Square Core System; CASQ; CASQS; CD159; CD159-10; CD38-17P; CDRILL; Cenderawasih Bay; CH84-14; Charles Darwin; CHAT 10K; CHAT-10K; CHAT-16K; CHAT-3K; CHAT-5K; CHR-4; CHR-5; CHR-6; CHR-7; COMPCORE; Composite Core; Conrad Rise; Coral; Core; CORE; Core drilling; Corner Rise; DAPC2; deglacial; Denmark Strait; DH117; DH43; DH74; DP Hunter; DR23; DR27; DR34; DR35; DR38; DR40; Drake Passage; Dredge; DRG; DRILL; Drill9A_Tasmaloum; Drilling/drill rig; Eastern Equatorial Pacific; Eastern slope of Kurile Basin; East Pacific; EBA1; EBA10; EBA11; EBA2; EBA3; EBA4; EBA5; EBA6; EBA7; EBA8; EBA9; EBB1; EBB2; EBB3; EBB4; EBB5; EBB6; EBB7; ENG-111; Equatorial East Pacific; Equatorial Indian Ocean; ESTASE1; ET97-7T; EW0408; EW0408-26JC; EW0408-87JC; Exp310; Exp313; Exp341; f0001carcs; F2-92-P3; F8-90-G21; FLAMINGO; Foraminifera; GC; GC_POI; GeoB1503-1; GeoB2104-3; GeoB7149-2; GeoB7162-6; GeoB7163-7; GeoB7167-6; GEOSCIENCES, MARMARCORE; GGC; GGC5; gh02-1030; Giant box corer; Giant gravity corer; Giant piston corer; GIK23243-2 PS05/431; GIK23415-9; GKG; Glomar Challenger; GPC; Gramberg Seamount; Gravity corer; Gravity corer (Kiel type); Gravity corer (POI); GS07-150-20/2A; Gulf of California; H209; H213; HU72-021-3; HU72-021-7; HU89038-8PC; IMAGES I; IMAGES III - IPHIS; IMAGES IV-IPHIS III; IMAGES V; IMAGES VII - WEPAMA; IMAGES XII - MARCO POLO; IMAGES XV - Pachiderme; Indian Ocean; INOPEX; Interim_Seamount; James Cook; Japan Trench; JC094; JC094_GRM; Jean Charcot; JFA17; JFA2; JFA20; JFA24; JF-FI-19PC; Joides Resolution; JPC; JT96-09; JT96-09PC; Jumbo Piston Core; KAL; KALMAR II; Kasten corer; Kayd; KL; KN_USA; KN11002; KN159-5; Knorr; KNR110-50; KNR110-66; KNR110-82a; KNR110-82GGC; KNR140; KNR140-01JPC; KNR140-02JPC; KNR140-12JPC; KNR140-2-12JPC; KNR140-2-22JPC; KNR140-22JPC; KNR140-2-30GGC; KNR140-2-51GGC; KNR140-26GGC; KNR140-30GGC; KNR140-37JPC; KNR140-39GGC; KNR140-43GGC; KNR140-50GGC; KNR140-51GGC; KNR140-56GGC; KNR140-66GGC; KNR159-5; KNR159-5-78GGC; KNR176-17GC; KNR176-2; KNR176-2-JPC30; KNR178; KNR178-2GGC; KNR178-32JPC; KNR195-5-CDH23; KNR195-5-CDH26; KNR195-5-CDH41; KNR195-5-GGC43; KNR197-10; KNR197-10CDH42; KNR197-10-CDH42; KNR197-10-CDH46; KNR197-10-GGC17; KNR197-10-GGC5; KNR198-CDH36; KNR198-GGC15; KNR198-GGC35; KNR31GPC5; KNR73-3PC; KNR73-4PC; KNR73-6PG; KOL; KOMEX; KOMEX II; KR02-15-PC06; Kronotsky Peninsula; KT89-18-P4; Lakshadweep Sea; Laurentian fan; Leg145; Leg146; Leg167; Leg202; Leg64; Leg94; Le Suroît; LMG06-05-9; LPAZ21P; LV27/GREGORY; LV27-2-4; LV29-114-3; LV29-2; M16/2; M17/2; M23/2; marine; Marion Dufresne (1972); Marion Dufresne (1995); MAT-1A; MAT-3A; Maurice Ewing; MD012386; MD01-2386; MD012420; MD01-2420; MD01-2461; MD02-2461; MD022489; MD02-2489; MD03-2697; MD03-2707; MD04-2829CQ; MD04-2845; MD052896; MD05-2896; MD052904; MD05-2904; MD07-3076; MD07-3076Q; MD07-3088; MD08-3169; MD09-3256; MD09-3256Q; MD09-3257; MD101; MD106; MD111; MD114; MD122; MD123; MD12-3396Cq; MD13; MD134; MD141; MD147; MD159; MD173; MD189; MD77-176; MD952002; MD95-2002; MD952007; MD95-2007; MD972106; MD97-2106; MD972121; MD97-2121; MD972138; MD97-2138; MD982165; MD98-2165; MD982181; MD98-2181; MD99-2331; MD99-2334; ME0005-24JC; Melville; Meriadzec; Meteor (1986); ML1208-01PC; MR01-K03; MR06-04_PC04A; MUC; MULT; MultiCorer; Multiple investigations; Mururoa; MV1007; MV1007-DO3; MV99-GC31; MV99-GC38; MV99-MC17/GC32/PC10; MV99-MC19; MV99-PC08; NA064-117-1; NA064-118-1; NA87-22; Nathaniel B. Palmer; NBP0805; NBP0805-DR23; NBP0805-DR27; NBP0805-DR34; NBP0805-DR35; NBP0805-DR36; NBP0805-DR38; NBP0805-DR40; NBP0805-TB04; NBP1103; NBP1103-DH07; NBP1103-DH112; NBP1103-DH113; NBP1103-DH115; NBP1103-DH117; NBP1103-DH120; NBP1103-DH134; NBP1103-DH14; NBP1103-DH140; NBP1103-DH143; NBP1103-DH15; NBP1103-DH22; NBP1103-DH43; NBP1103-DH74; NBP1103-DH95; Nesmeyanov25-1-GGC15; Nesmeyanov25-1-GGC18; Nesmeyanov25-1-GGC20; Nesmeyanov25-1-GGC27; New England Mountains; New Jersey Shallow Shelf; North Atlantic; North Atlantic/FLANK; Northeast Atlantic; North East Atlantic; North Pacific/Gulf of California/BASIN; North Pacific Ocean; Northwest Atlantic; Norwegian Sea; OCE326-GGC14; OCE326-GGC26; OCE326-GGC5; off Chile; off Nova Scotia; OK-3; OK-8; OKB-36A; OKB-53B; OKB-B3; OSIRIS III; Pacific Ocean; PALEOCINAT; PALEOCINAT II; papua; PC; PC75-1; PC75-2; Philippine Sea; PICABIA; Piston corer; Piston corer (BGR type); Piston corer (Kiel type); PLDS-007G; PLDS-1; Pleiades; Polarstern; PS05; PS1243-2; PS2606-6; PS2644-5; PS30; PS30/144; PS31; PS31/160-5; PS69; PS69/907-2; PS69/912-3; PS69/912-4; PS75/059-2; PS75/100-4; PS75/104-1; PS75 BIPOMAC; PUCK; radiocarbon dates; RAPiD-10-1P; RBDASS05; RBDASS05_H11; RBDASS05_H15; RC11; RC1112; RC11-238; RC24; RC24-8GC; RC27; RC27-14; RC27-23; Remote operated vehicle; Remote operated vehicle Jason II; RETRO-2; RGF_Barbados; RGF-12; RGF-15; RGF-16; RGF-9; RNDB-GGC15; RNDB-GGC5; RNDB-PC11; RNDB-PC13; Robert Conrad; ROV; ROVJ; RR0503-06JPC; RR0503-36JPC; RR0503-64JPC; RR0503-79JPC; RR0503-831C; RR0503-83GC; S67-FFC15; S794; S931; S938; Sakhalin shelf and slope; Sars_Seamount; SC4_ST2_SW2_SX1; Scotia Sea; Sea of Okhotsk; SEDCO; Sediment corer; Shackleton_Fracture_Zone; SHAK03-6K; SHAK05-3K; SHAK06-4K; SHAK10-10K; SHAK14-4G; Shirshov Ridge; Sindhu Sadhana; Site_1471; Site_2088; Site_21210009; Site_2307; Site_2631; Site_2657; Site_2706; Site_2774; Site_47396; Site_654; Site_660; Site_936; SK129-CR2; SL; Smithsonian_48735.1; SO156/2; SO156/3; SO161/5; SO161/5_22SL; SO178; SO178-13-6; SO201/2; SO201-2-101; SO201-2-12KL; SO201-2-77; SO201-2-85; SO202/1; SO202/1_18-6; SO213/2; SO213/2_76-2; SO213/2_79-2; SO213/2_82-1; SO213/2_84-1; Sonne; SOPATRA; South Atlantic; South Atlantic Ocean; South China Sea; Southern Alaska Margin: Tectonics, Climate and Sedimentation; South of Iceland; South Pacific Ocean; South Tasman Rise; Southwest Pacific; Southwest Pacific Ocean; SPOC; SS152; SS172; SSD-044; SSD044_GC-01; Station 6, MD189-3396; St Kildas Basin; SU90-08; SU92; SU92-03; Submersible Alvin; TAH-01A-3A; TAH-02A-4F; TAH-02A-4G; TAH-02A-4H; TAH-02A-5D; TAH-02A-5F; TAH-02A-5G; TAH-02A-5H; TAH-03A-1; TAH-03A-1A; TAH-03A-1E; Tahiti, offshore Faaa; Tahiti, offshore Maraa; Tahiti, offshore Tiarei; Tahiti Sea Level; Ta-P6; Ta-P7; Ta-P8; Tasman Sea; Thomas G. Thompson; Thomas G. Thompson (1964); Thomas Washington; TN228; TN228_J2_382; TN228_J2_383; TN228_J2_387; TN228_J2_389; TN228_J2_393; TN228_J2_395; TNO57-21; TR163-22; TR163-23; TR163-31; TROPICS; TT154-10; TTN013-18; TTXXX; U938; U939; urlepa; V19; V19-27; V21; V21-40; V28; V28-122; V28-238; V34; V34-98; V35; V35-5; V35-6; VAY1; VEM1_8; Vema; ventilation; Vigo; VINO19-4-GGC17; VINO19-4GGC-37; VINO19-4-GGC37; VM21-30; VNTR01; VNTR01-10GC; Vuolep Allakasjaure; W8709A; W8709A-13; Wecoma
    Type: Dataset
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 238.8 kBytes
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 16
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    Marine fossil radiocarbon (14C) compilation up to 2021, version 2024 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: Using a new global compilation of deep-sea 14C/C, we estimated (in Rafter et al. 2022) the average D14C (units of per mil) and 14C ventilation age (units of years) over the last 25,000 years for the deep Pacific, Atlantic, and Southern Oceans. Particularly, we estimated these basin averages for mid-depth waters (between the 27.5 to 28.0 neutral density surfaces) and bottom waters (having a neutral density 〉28.0). These basin averages are calculated using LOESS smoothing, but see the original text for more details. Our reasons for uploading this new data are: (1) An earlier dataset here contained an error for the mid-depth Atlantic; (2) Earlier datasets did not include the trends as D14C values; and (3) Earlier datasets did not include the Raw data (the data before normalization). We have corrected this with the new submission. Please cite the Rafter et al. 2022 when using this dataset.
    Keywords: 0050PG; 0066PG; 145-883; 145-887; 146-893A; 167-1019A; 202-1240; 202-1242A; 341-U1419; 35MF20120125, OISO_21, INDIEN SUD 2; 47396B; 50-37KL; 64-480; 90b; AII125-8-55; AII125-8-56; Akademik M.A. Lavrentyev; ALV-3887-1549-004-007; ALV-3887-1549-004-009; ALV-3887-1549-004-012; ALV-3890-1407-003-001; ALV-3891-1459-003-002; ALV-3891-1758-006-003; AMOCINT, IMAGES XVII; ANT-XI/4; ANT-XXIII/9; ANT-XXVI/2; Argentine Basin; ARK-II/5; ARK-X/2; Azores; B34-91; BC; Bering Sea; Binary Object; BO04-PC11; Box corer; Brazil Basin; Burdwood_Bank; CALYPSO; CALYPSO2; Calypso Corer; Calypso Corer II; Calypso square corer; Calypso Square Core System; Canarias Sea; Cape_Horn; Caribbean Sea; CASQ; CASQS; CD159; CD159-10; CD159-15; CD159-17; CD38-17P; Celtic Sea; Cenderawasih Bay; Central Pacific; CH84-14; Charles Darwin; CHAT_10k; CHAT_16k; CHAT-3K; CHAT-5K; Chatham Rise; COMPCORE; Composite Core; Conrad Rise; Core; CORE; Core1471; Core2088; Core21210009; Core2307; Core2631; Core2657; Core2706; Core2774; Core47396; Core654; Core660; Core936; Corner Rise; Denmark Strait; Drake Passage; DRILL; Drilling/drill rig; Eastern Equatorial Pacific; Eastern slope of Kurile Basin; East Pacific; Emperor Seamounts; EN06601; EN066-39GGC; Endeavor; Equatorial East Pacific; ESTASE1; EW0408; EW0408-26JC; EW0408-85JC; EW0408-87JC; Exp341; F2-92-P3; F8-90-G21; File content; Galapagos; Galápagos Islands; GC; GC_POI; GeoB1503-1; GeoB2104-3; GeoB7149-2; GeoB7162-6; GeoB7163-7; GeoB7167-6; GGC; GGC5; gh02-1030; Giant box corer; Giant gravity corer; Giant piston corer; GIK17940-1; GIK23243-2 PS05/431; GKG; Glomar Challenger; GPC; Gravity corer; Gravity corer (Kiel type); Gravity corer (POI); GS07-150-17/1GC-A; GS07-150-20/2A; Gulf of Alaska; Gulf of California; H209; H213; HH12-946MC; HU72-021-7; HU89038-8PC; IMAGES III - IPHIS; IMAGES IV-IPHIS III; IMAGES V; IMAGES VIII - MONA; IMAGES VII - WEPAMA; IMAGES XII - MARCO POLO; IMAGES XV - Pachiderme; Indian Ocean; INOPEX; Interim_Seamount; Japan Trench; Jean Charcot; JM-FI-19PC; Joides Resolution; JPC; JPC30; JT96-09; JT96-09PC; Jumbo Piston Core; KAL; KALMAR II; Kasten corer; KL; KN_USA; KN11002; KN159-5; Knorr; KNR073-04-003; KNR110-50; KNR110-66; KNR110-82a; KNR110-82GGC; KNR140; KNR140-01JPC; KNR140-02JPC; KNR140-12JPC; KNR140-2-12JPC; KNR140-2-22JPC; KNR140-22JPC; KNR140-2-30GGC; KNR140-2-51GGC; KNR140-26GGC; KNR140-30GGC; KNR140-37JPC; KNR140-39GGC; KNR140-43GGC; KNR140-50GGC; KNR140-51GGC; KNR140-56GGC; KNR140-66GGC; KNR159-5; KNR159-5-36GGC; KNR159-5-78GGC; KNR176-17GC; KNR178; KNR178-2GGC; KNR178-32JPC; KNR195-5-CDH23; KNR195-5-CDH26; KNR195-5-CDH41; KNR195-5-GGC43; KNR197-10; KNR197-10CDH42; KNR197-10-CDH42; KNR197-10-CDH46; KNR197-10-GGC17; KNR197-10-GGC36; KNR197-10-GGC5; KNR198-CDH36; KNR198-GGC15; KNR31GPC5; KNR733P; KNR734P; KNR736P; KOL; KOMEX; KOMEX II; KR02-15-PC06; Kronotsky Peninsula; KT89-18-P4; Lakshadweep Sea; Laurentian fan; Leg145; Leg146; Leg167; Leg202; Leg64; Le Suroît; LPAZ21P; LV27/GREGORY; LV27-2-4; LV29-114-3; LV29-2; M16/2; M23/2; Marion Dufresne (1972); Marion Dufresne (1995); Maurice Ewing; Mazatlan; MCSEIS; MD012378; MD01-2378; MD012386; MD01-2386; MD012416; MD01-2416; MD012420; MD01-2420; MD022489; MD02-2489; MD022519; MD02-2519; MD03-2697; MD03-2707; MD052896; MD05-2896; MD052904; MD05-2904; MD07-3076; MD07-3076Q; MD07-3088; MD08-3169; MD08-3180; MD09-3256; MD09-3256Q; MD09-3257; MD106; MD111; MD114; MD122; MD12-3396Cq; MD126; MD13; MD134; MD147; MD159; MD168; MD173; MD189; MD77-176; MD972106; MD97-2106; MD972120; MD97-2120; MD972121; MD97-2121; MD972138; MD97-2138; MD982165; MD98-2165; MD982181; MD98-2181; MD99-2334; ME0005A; ME0005A-24JC; ME0005A-43JC; Melville; Meteor (1986); ML1208-01PC; MONITOR MONSUN; MR01-K03; MR06-04_PC04A; MUC; Multichannel seismics; MultiCorer; MV99-GC38; MV99-MC17/GC32/PC10; MV99-MC19/GC31/PC08; NEMO; Nesmeyanov25-1-GGC15; Nesmeyanov25-1-GGC18; Nesmeyanov25-1-GGC20; Nesmeyanov25-1-GGC27; New_England_Seamounts; North Atlantic; North Greenland Sea; North Pacific/Gulf of California/BASIN; North Pacific Ocean; Northwest Atlantic; Norwegian Sea; OCE326-GGC14; OCE326-GGC26; OCE326-GGC5; off Chile; off Nova Scotia; OSIRIS III; Pacific Ocean; PALEOCINAT; PC; Philippine Sea; PICABIA; Piston corer; Piston corer (BGR type); Piston corer (Kiel type); PLDS-007G; PLDS-1; Pleiades; Polarstern; PS05; PS1243-2; PS2606-6; PS2644-2; PS30; PS30/144; PS31; PS31/160; PS69; PS69/907-2; PS69/912-3; PS69/912-4; PS75/059-2; PS75/100-4; PS75/104-1; PS75 BIPOMAC; PUCK; RAPiD-10-1P; RAPiD-15-4P; RAPiD-17-5P; RBDASS05; RC24; RC24-8GC; RC27; RC27-14; RC27-23; Remote operated vehicle; RETRO-2; RNDB-GGC15; RNDB-GGC5; RNDB-PC11; RNDB-PC13; Robert Conrad; ROV; RR0503-36JPC; RR0503-41JPC; RR0503-64JPC; RR0503-79JPC; RR0503-831C; RR0503-83GC; S67-FFC15; S794; S931; Sakhalin shelf and slope; Sars_Seamount; Scotia Sea; Sea of Okhotsk; SEDCO; Sediment corer; Shackleton_Fracture_Zone; SHAK03-6K; SHAK05-3K; SHAK06-4K; SHAK06-5K; SHAK10-10K; SHAK14-4G; Shirshov Ridge; SK129-CR2; SL; Smithsonian_48735.1; SO156/2; SO156/3; SO161/3; SO161/3_22; SO178; SO178-13-6; SO201/2; SO201-2-101; SO201-2-12KL; SO201-2-77; SO201-2-85; SO202/1; SO202/1_18-6; SO213/2; SO213/2_76-2; SO213/2_79-2; SO213/2_82-1; SO213/2_84-1; SO95; Sonne; SOPATRA; South Atlantic; South Atlantic Ocean; South China Sea; Southern Alaska Margin: Tectonics, Climate and Sedimentation; South of Iceland; South Pacific Ocean; South Tasman Rise; Southwest Pacific Ocean; SPOC; Station 6, MD189-3396; SU90-08; Thomas G. Thompson (1964); Thomas Washington; Timor Sea; TNO57-21; TR163-22; TR163-23; TR163-31; TT154-10; TTN13-18; TTXXX; U938; V34; V34-98; V35; V35-5; V35-6; Vema; Vigo; VINO19-4-GGC17; VINO19-4-GGC37; VM21-29; VM21-30; VM23-81; VM28-122; VM28-238; VNTR01; VNTR01-10GC; W8709A; W8709A-13; Wecoma
    Type: Dataset
    Format: text/tab-separated-values, 14 data points
    Location Call Number Expected Availability
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  • 17
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    Elevation zones Hallstätter Gletscher, Dachstein, Austria, 2018/2019 (2020)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: The annual glacier mass balance of Hallstätter Gletscher in Austria is measured since 1.10.2006 with the direct glaciological method in the fixed date system (1.10. to 30. 09. of the following year). The accumulation of snow is measured by determination of the water equivalent in 6 snow pits, the ice ablation is measured with 15 stakes drilled into the ice. Results are the annual net mass balance in kg, the total accumulation and ablation, the glacier area and the portions of the area which are subject to ablation and accumulation, the elevation of the equilibrium line and the specific mass balance in kg/m² (= mm w.e.). The accumulation during the winter is determined by the 1 May. The project is funded by the Federal Government of Upper Austria. The measurements are carried out the Institute for Interdisciplinary Mountain Research of the Austrian Academy of Sciences and the company Blue Sky in Gmunden, Austria.
    Keywords: DATE/TIME; Elevation, maximum; Elevation, minimum; Glaciers Austria; Hallstätter Gletscher, Dachstein, Austria; HSG; Mass balance, total of the altitude zone; Specific mass balance of the altitude zone; Specific mass balance of the altitude zone, summer; Specific mass balance of the altitude zone, winter; Total area of the altitude zone
    Type: Dataset
    Format: text/tab-separated-values, 98 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 18
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    Glacier mass balance Hallstätter Gletscher, Dachstein, Austria, 2020/21 (2022)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: The annual glacier mass balance of Hallstätter Gletscher in Austria is measured since 1.10.2006 with the direct glaciological method in the fixed date system (1.10. to 30. 09. of the following year). The accumulation of snow is measured by determination of the water equivalent in 6 snow pits, the ice ablation is measured with 15 stakes drilled into the ice. Results are the annual net mass balance in kg, the total accumulation and ablation, the glacier area and the portions of the area which are subject to ablation and accumulation, the elevation of the equilibrium line and the specific mass balance in kg/m² (= mm w.e.). The accumulation during the winter is determined by the 1 May. The project is funded by the Federal Government of Upper Austria. The measurements are carried out the Institute for Interdisciplinary Mountain Research of the Austrian Academy of Sciences and the company Blue Sky in Gmunden, Austria.
    Keywords: Ablation area; Accumulation area; Accumulation area ratio; DATE/TIME; Equilibrium line altitude; Glaciers Austria; Hallstätter Gletscher, Dachstein, Austria; HSG; Mass balance, total; Mass balance in ablation area; Mass balance in accumulation area; Specific mass balance; Specific mass balance, summer; Specific mass balance, winter; Specific mass balance in the ablation area; Specific mass balance in the accumulation area; Total area
    Type: Dataset
    Format: text/tab-separated-values, 13 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 19
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    Elevation zones Hallstätter Gletscher, Dachstein, Austria, 2022/2023 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: The annual glacier mass balance of Hallstätter Gletscher in Austria is measured since 1.10.2006 with the direct glaciological method in the fixed date system (1.10. to 30. 09. of the following year). The accumulation of snow is measured by determination of the water equivalent in 6 snow pits, the ice ablation is measured with 15 stakes drilled into the ice. Results are the annual net mass balance in kg, the total accumulation and ablation, the glacier area and the portions of the area which are subject to ablation and accumulation, the elevation of the equilibrium line and the specific mass balance in kg/m² (= mm w.e.). The accumulation during the winter is determined by the 1 May. The project is funded by the Federal Government of Upper Austria. The measurements are carried out the Institute for Interdisciplinary Mountain Research of the Austrian Academy of Sciences and the company Blue Sky in Gmunden, Austria.
    Keywords: Alps; Austria; Dachstein; DATE/TIME; Elevation, maximum; Elevation, minimum; Glacier mass balance; Glaciers_austria; Hallstätter Gletscher, Dachstein, Austria; HSG; Mass balance, total of the altitude zone; Specific mass balance of the altitude zone; Specific mass balance of the altitude zone, summer; Specific mass balance of the altitude zone, winter; Total area of the altitude zone
    Type: Dataset
    Format: text/tab-separated-values, 84 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 20
    facet.materialart.
    Unknown
    Elevation zones Hallstätter Gletscher, Dachstein, Austria, 2021/2022 (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: The annual glacier mass balance of Hallstätter Gletscher in Austria is measured since 1.10.2006 with the direct glaciological method in the fixed date system (1.10. to 30. 09. of the following year). The accumulation of snow is measured by determination of the water equivalent in 6 snow pits, the ice ablation is measured with 15 stakes drilled into the ice. Results are the annual net mass balance in kg, the total accumulation and ablation, the glacier area and the portions of the area which are subject to ablation and accumulation, the elevation of the equilibrium line and the specific mass balance in kg/m² (= mm w.e.). The accumulation during the winter is determined by the 1 May. The project is funded by the Federal Government of Upper Austria. The measurements are carried out the Institute for Interdisciplinary Mountain Research of the Austrian Academy of Sciences and the company Blue Sky in Gmunden, Austria.
    Keywords: DATE/TIME; Elevation, maximum; Elevation, minimum; Glacier mass balance; Glaciers_austria; Hallstätter Gletscher, Dachstein, Austria; HSG; Mass balance, total of the altitude zone; Specific mass balance of the altitude zone; Specific mass balance of the altitude zone, summer; Specific mass balance of the altitude zone, winter; Total area of the altitude zone
    Type: Dataset
    Format: text/tab-separated-values, 91 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 21
    facet.materialart.
    Unknown
    Glacier mass balance Hallstätter Gletscher, Dachstein, Austria, 2021/2022 (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: The annual glacier mass balance of Hallstätter Gletscher in Austria is measured since 1.10.2006 with the direct glaciological method in the fixed date system (1.10. to 30. 09. of the following year). The accumulation of snow is measured by determination of the water equivalent in 6 snow pits, the ice ablation is measured with 15 stakes drilled into the ice. Results are the annual net mass balance in kg, the total accumulation and ablation, the glacier area and the portions of the area which are subject to ablation and accumulation, the elevation of the equilibrium line and the specific mass balance in kg/m² (= mm w.e.). The accumulation during the winter is determined by the 1 May. The project is funded by the Federal Government of Upper Austria. The measurements are carried out the Institute for Interdisciplinary Mountain Research of the Austrian Academy of Sciences and the company Blue Sky in Gmunden, Austria.
    Keywords: Ablation area; Accumulation area; Accumulation area ratio; DATE/TIME; Glacier mass balance; Glaciers_austria; Hallstätter Gletscher, Dachstein, Austria; HSG; Mass balance, total; Mass balance in ablation area; Mass balance in accumulation area; Specific mass balance; Specific mass balance, summer; Specific mass balance, winter; Specific mass balance in the ablation area; Specific mass balance in the accumulation area; Total area
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 22
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    Unknown
    The Holocene silicon biogeochemistry of Yellowstone Lake, USA (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Language: English
    Type: info:eu-repo/semantics/workingPaper
    Location Call Number Expected Availability
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    PAPER (OA)
  • 23
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    Unknown
    REVEALS reconstruction of past vegetation cover with original RPP values for Asian samples (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: This data set presents the reconstructed vegetation cover for 533 Asian sites based on harmonized pollen data from the data set LegacyPollen 2.0 (https://doi.pangaea.de/10.1594/PANGAEA.929773). Sugita's REVEALS model (2000) was applied to all pollen records using REVEALSinR from the DISQOVER package (Theuerkauf et al. 2016). Pollen counts were translated into vegetation cover by accounting for taxon-specific pollen productivity and fall speed. Additionally, relevant source areas of pollen were calculated using the aforementioned taxon-specific parameters and a gaussian plume model for deposition and dispersal and forest cover was reconstructed. Values for relative pollen productivity and fall speed from the synthesis from Wiezcorek and Herzschuh (2010) were used for the reconstruction of vegetation cover. The average values from all Northern Hemisphere values were used where taxon-specific continental values were not available. We present tables with reconstructed vegetation cover for all continents with original parameters. As further details we list a table with the taxon-specific parameters used and a list of parameters adjusted in the default version of REVEALSinR.
    Keywords: 11-CH-12A; 11CH17A_Pollen; 16-KP-01-L02-Long3; 880; Abies, cover; Acacia, cover; Acanthaceae, cover; Acer, cover; Aceraceae, cover; ACHIT8; ACHITNUR; Achit-Nur, Mongolia; ACHITNUR8; Achit Nur 8; Achit Nur Lake; ACHITNUUR; Achit Nuur; Acoraceae, cover; Actinidiaceae, cover; Adoxaceae, cover; Adycha_River; Adycha River; Aesculus, cover; AGHNAGHA; Aghnaghak; Aglaia, cover; AHUNG; Ahung Co; AIBI; Aibi Lake; Ailanthus, cover; Aizoaceae, cover; AKKOL; Akkol Lake; AKTEREK; Ak Terek; AKULININ; Akulinin Exposure P1282; AL3; Alangium, cover; Albizia, cover; Alchornea, cover; Allophylus, cover; ALMALOU3; Alnus, cover; Altingia, cover; ALUT; Alut Lake; Amaranthaceae, cover; Amaryllidaceae, cover; AMBA; Amba River; AMGUEMA1; AMGUEMA2; Amguema River 1; Amguema River 2; Ampelopsis, cover; Anacardiaceae, cover; Anguli Nur Lake; ANGUNUR; Annona, cover; Antidesma, cover; Aphanamixis, cover; Apiaceae, cover; Apocynaceae, cover; Apodytes, cover; Aporosa, cover; Aquifoliaceae, cover; Araceae, cover; ARAL86; Araliaceae, cover; Arctic Ocean; Arctostaphylos, cover; Ardisia, cover; Area; Arecaceae, cover; ARKIDA_Pollen; Artemisia, cover; Asia; Asparagaceae, cover; Asphodelaceae, cover; ASTAAL13_Pollen; Asteraceae, cover; Avicennia, cover; AWI_Envi; AWI Arctic Land Expedition; AYONGWA; Ayongwama Co; Baahar Nuur Lake; BAAHNUUR; BAIDARA; Baidara, Russia; Baihe; BAIHE; Baika; BAIKA2; Baikal_Lake-CON01-603-5; Baikal_Lake-CON01-605-3; Baikal_Lake-CON01-605-5; BAIKAL606-3; Baikal CON01-606-3; Baikal Lake-CON01-603-5; Baikal Lake-CON01-605-3; Baikal Lake-CON01-605-5; Baiyangdian Lake GY; BAIYANGGY; BAJIAO; Bajiaotian; Bakaly; BAKALY_neotoma; BALIKUN; Balikun Lake; Balsaminaceae, cover; BANGONG; Bangong Co Lake; BARABA; Barbarina_Tumsa; BARKOLBLK6E; Barkol Lake BLK06E; Basin; Bauhinia, cover; BAYANBY; BAYANCH; Bayanchagan Lake BY; BEIDAWA; Beidawan; BEIHAIGK10; Beihai GK10; BEILIKEK; Beilikekule Lake; Belaya Skala Exposure; BELSKALA; Berberidaceae, cover; BEREGOV2_Pollen; Berelyekh River; BETENK; Betenkyos Adycha river; Betula, cover; Betulaceae, cover; Biebersteiniaceae, cover; Big_Yarovoe_Lake_2008-3; Bignoniaceae, cover; Big Yarovoe Lake; BOGUDA; BOLOTNYI; Bolotnyii Stream Exposure 117; BOLS1TZ1_Pollen; Bolshaya Kuobakh-Baga River; Bolshaya Kuropatochya River; Bolshaya Kuropatochya River P7; Bolshoe Eravnoe Lake, Russia; Bolshoe Toko; BOLVAN25_Pollen; BOLVAN48_Pollen; Bombax, cover; Boraginaceae, cover; Bosten; Boyiqiao ZK01; BOYIQZK1; Brassicaceae, cover; Broussonetia, cover; Buddleja, cover; BUGRIST; Bugristoe, Russia; Buxus, cover; Byllatskoye; Calculated average/mean values; Calendar age, maximum/old; Calendar age, mean; Calendar age, median; Calendar age, minimum/young; Callicarpa, cover; Camellia, cover; Campanulaceae, cover; CAMPING; CANGUMI; Cangumiao; Cannabaceae, cover; CAOTAN2002; Caotanhu 2002; Cape Shpindler, Yugorski Peninsula, Russia; Capparaceae, cover; Capparis, cover; Caprifoliaceae, cover; Caragana, cover; Carya, cover; Caryophyllaceae, cover; Casearia, cover; Caspian Sea; Castanea, cover; Castanopsis, cover; Casuarina, cover; Catalpa, cover; Cedrus, cover; Celastraceae, cover; Celtis, cover; Cephalanthus, cover; Cercidiphyllum, cover; Cercis, cover; CHABADA1; CHABADA2; ChabadaII; Chabada Lake, Russia; CHADIAN; Chadianpo; Chaginskoe; CHAIWOCKF; Chaiwopu Lake CKF; Chamaecyparis, cover; Changjiang CM97; Changjiang HQ98; CHANGJICM97; CHANGJIHQ98; CHANGNING_Pollen; Changshan; CHANGSHAN; CHANGXING; Changxing Island; CHAOCH1; Chaohu Lake CH1; CHARIMUCH; Charisu/Muchang profile; Chatanga2011; CHENGCH2; Chenghai CH2; Cheremushka_Bog; Cheremushka Bog; Chernaya_Gorka; CHERNOE; Chernoe Lake, Russia; CHERNYAR; Chernyii Yar Exposure 955; Cherny Yar, Russia; CHERYAR; CHESNOK; Chesnok Peat Irtysh River; Chifeng-Qiguo Mt.; CHIFEQIGU; China; Chistoye Lake; CHITSAI; Chitsai Lake; CHUANGY; Chuangye; Chukotka 2018; Cistaceae, cover; Citrus, cover; Claoxylon, cover; Clausena, cover; Clerodendrum, cover; Clethra, cover; Clethraceae, cover; Clusiaceae, cover; Co1412; Cocculus, cover; Colchicaceae, cover; Combretaceae, cover; Commelinaceae, cover; COMPCORE; Composite Core; Continent; Convolvulaceae, cover; Co Qongjiamong; Core1; Core13; Core2; Core20; Core86; Cornaceae, cover; Cornus, cover; Corylus, cover; Cotinus, cover; Crassulaceae, cover; Crataegus, cover; Cratoxylum, cover; Cryptomeria, cover; CS98-10; Cucurbitaceae, cover; Cunninghamia, cover; Cupressaceae, cover; Cupressus, cover; Cyclobalanopsis, cover; Cyclocarya, cover; Cyperaceae, cover; DABA8; DABANUR; Daba-Nur, Mongolia; Daba Nur Lake; DABSANCK181; Dabsan Lake CK1/81; Dacrydium, cover; Dadiwan_2007; Dadiwan_2008; DADIWAN07; DADIWAN08; DAHAIZI; Dahaizi Lake; DAHU_Pollen; DAIHAI99A; DAIHAI99B; Daihai Lake 99a; Daihai Lake DH99B; Dajiuhu_2013; DAJIUHU2013; DAJIUHUC1; Dajiuhu Lake C1; DALAINUR; Dalai Nur Lake-Haiyan; Dalbergia, cover; DALINURHAO; Dali Nur-Haoluku Lake; DALINURJIAN; Dali Nur-Jiangjunpaozi Lake; DALINURLIU; Dali Nur-Liuzhouwan Lake; Damagou; DAMAGOU; Dashan; DASHAN; DASHUI; Dashuitang; Data ID; Datiscaceae, cover; Daxigou; DAXIGOU; DAZIYIN; Daziying; Decaspermum, cover; DENGJIAC; Dengjiacun; DEPTH, sediment/rock; DERPUT; Derput, Russia; Deutzia, cover; Diameter; DIAOJIAO; Diaojiaohaizi DJ; Diapensiaceae, cover; DIMA1; DIMA2; DIMA3; DIMA4; Dingnan; DINGNAN; Dingxi; DINGXI; Dioscoreaceae, cover; Diospyros, cover; Diplospora, cover; Dipsacaceae, cover; Dipterocarpaceae, cover; Distylium, cover; Dlinnoye_Lake; Dlinnoye Lake; Dodonaea, cover; Dolgoe_Ozero; Dolgoe Ozero; DONGDAO; Dongdaohaizi B; DONGGAN; Dongganchi; DONGGI1790; Dongguan_PK16; DONGGUPK16; DOOD4; DOODNUR; Dood-Nur, Mongolia; Dood Nur Lake; DOUCO; Douco Lake; DRILL; Drilling/drill rig; Droseraceae, cover; East Siberian Sea Coast 11; Ebenaceae, cover; EBINUR; Ebinur Lake; Ebinur Lake SW; EBINURSW; EK4; Elaeagnaceae, cover; Elaeagnus, cover; Elaeocarpaceae, cover; Elaeocarpus, cover; Eleutherococcus, cover; ELGENNYA; Elgennya Lake; Elgygytgyn_Lake_P2; Elgygytgyn crater lake, Sibiria, Russia; Elgygytgyn lake; Elgygytgyn Lake P2; Elikchan 4 Lake; EN18218; Endospermum, cover; Engelhardia, cover; ENM109; ENMYN; Enmynveem Malyi Anyui; Enmynveem River; Entada, cover; ENTARNOY; Entarnoye; Ephedra, cover; Ephedraceae, cover; ERAVNOE; ERHAIES; Erhai Lake ES; Ericales, cover; Eriobotrya, cover; ERLONGWA; Erlongwan Maar Lake; Eucalyptus, cover; Euonymus, cover; Euphorbiaceae, cover; Euptelea, cover; Eupteleaceae, cover; Eurya, cover; Event label; Excoecaria, cover; Fabaceae, cover; Faddeyevskiy; FADEYEVS; Fagaceae, cover; Fagraea, cover; Fagus, cover; FENGNIN; Fengning; FENZHU; Fenzhuang; Ficus, cover; Flacourtia, cover; Flacourtiaceae, cover; Flueggea, cover; Forest, cover; fossil pollen; Foyechi; FOYECHI; Frangula, cover; Frankeniaceae, cover; Fraxinus, cover; GANHAI; Ganhai Lake; GANLAN; Ganlanba; Gantang; GANTANG; GAOXI; Gaoximage; Garcinia, cover; Gardenia, cover; GC; GCUWI; GEK; Gek Lake; GENGGA_Pollen; Genista, cover; Gentianaceae, cover; Geological profile sampling; GEOPRO; Geraniaceae, cover; Gesneriaceae, cover; GHARASO_Pollen; Ginkgo, cover; GLADKOYE; Gladkoye Bog; Global River Discharge; Glochidion, cover; Glukhoye Lake; GLUPEAT; Glyptostrobus, cover; GOLUBOY; Goluboye Lake; Gomishan, Islamic Republic of Iran; GONGHAI; Gonghai Lake; Gounong Co KX-1; GOUNONGKX1; Gravity corer; Gravity corer, UWITEC; Grewia, cover; Grossulariaceae, cover; GRUSHA; Grusha Lake; GS05; GS18; GUANGFU; Guangfulin; GUANGRU1; Guangrunpo 1; GUANGTA; Guangtangtou; GUCHENG; Gucheng Lake; Gulf of Tartary; GUNNUR; Gun-Nur, Mongolia; GUNNURLA; Gun Nur Lake; Gur_sample; GURSKII; Gurskii Peat; Gymnosporia, cover; GYTGYKAI; Gytgykai Lake; HACHIHAM; Hachihama; Hachiman-Numa; HACHI-NU; Hailaer; HAILAER; Haiyuan; HAIYUAN; Halali; HALALI; HALIGU; Haligu Lake; Hamaertai Lake Ha2; HAMAHA2; Hamamelidaceae, cover; Hamamelis, cover; HANHAIH1; Hanhai Lake H1; HARBA; Harbaling; HCGA05_Pollen; HCGL02_Pollen; Headwaters Opasnaya River (mine shaft); Helicia, cover; Heliotropium, cover; Helwingia,
    Type: Dataset
    Format: text/tab-separated-values, 47321056 data points
    Location Call Number Expected Availability
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  • 24
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    Water chemistry of Lagrangian samplings of Inland Elbe 2023 (MOSES Hydrological Extremes) (2023)
    PANGAEA
    In:  Helmholtz Centre for Environmental Research - UFZ
    Details
    Publication Date: 2024-07-09
    Description: The MOSES campaign ELBE 2023 covered the whole River Elbe from the source in the Czech Republic, the German freshwater part, the tidal Elbe river, towards the German Bight, where we try to follow the river plume with three ships by help of drifters. In the German freshwater Elbe, physico-chemical and biological parameters will be measured along the Elbe using the research vessel ALBIS from Schmilka (km 4, German border) to Geestacht (km 585, close to Hamburg) in a Langrangian approach. The scientific focus in 2023 was on pollutants, particularly pharmaceuticals, herbicides, and microplastics. For that, we sample not only water but also sediments, and use passive samplers. In addition, a land team sampled tributaries and effluents of weaste water treatment plants parallel to the ship.
    Keywords: 2023ELBE_el00400l; 2023ELBE_el00400m; 2023ELBE_el00400r; 2023ELBE_el05450l; 2023ELBE_el05450m; 2023ELBE_el05450r; 2023ELBE_el08800l; 2023ELBE_el08800m; 2023ELBE_el08800r; 2023ELBE_el10700l; 2023ELBE_el10700m; 2023ELBE_el10700r; 2023ELBE_el15450l; 2023ELBE_el15450m; 2023ELBE_el15450r; 2023ELBE_el17200m; 2023ELBE_el17200r; 2023ELBE_el17260l; 2023ELBE_el19900muend; 2023ELBE_el25800l; 2023ELBE_el25800m; 2023ELBE_el25800r; 2023ELBE_el25900muend; 2023ELBE_el28700l; 2023ELBE_el28700m; 2023ELBE_el28700r; 2023ELBE_el29070muend; 2023ELBE_el31800l; 2023ELBE_el31800m; 2023ELBE_el31800r; 2023ELBE_el32653l; 2023ELBE_el32653m; 2023ELBE_el32653r; 2023ELBE_el35100l; 2023ELBE_el35100m; 2023ELBE_el35100r; 2023ELBE_el38800l; 2023ELBE_el38800m; 2023ELBE_el38800r; 2023ELBE_el42225l; 2023ELBE_el42225m; 2023ELBE_el42225r; 2023ELBE_el43800muend; 2023ELBE_el45490l; 2023ELBE_el45490m; 2023ELBE_el45490r; 2023ELBE_el47500l; 2023ELBE_el47500m; 2023ELBE_el47500r; 2023ELBE_el50600l; 2023ELBE_el50600m; 2023ELBE_el50600r; 2023ELBE_el53600l; 2023ELBE_el53600m; 2023ELBE_el53600r; 2023ELBE_el57040l; 2023ELBE_el57040m; 2023ELBE_el57040r; 2023ELBE_el58550l; 2023ELBE_el58550m; 2023ELBE_el58550r; Albis; Ammonium molybdate spectrometric method; Ammonium-nitrogen; Area/locality; Arsenic, dissolved; Arsenic, total; Base capacity 4.3; Base capacity 8.2; Breitenhagen links; Breitenhagen mitte; Breitenhagen rechts; Carbon, organic, dissolved; Carbon, organic, particulate; Carbon dioxide; CFA; Chlorophyll a; Conductivity, electrical; Continuous Flow Analysis; DATE/TIME; Distance; Doemitz links; Doemitz Mitte; Doemitz rechts; Dommitzsch links; Dommitzsch Mitte; Dommitzsch rechts; Dresden Carolabruecke links; Dresden Carolabruecke Mitte; Dresden Carolabruecke rechts; Elbe; Event label; Gas chromatograph (8610C, SRI Instruments, Torrance, USA); Geestacht links; Geestacht rechts; Geesthacht Mitte; greenhouse gas; Havel Muendung; HPLCO; ICP-OES; InfraRed sensor detection according to DIN EN 1484:1997 DE; Iron, dissolved; Iron, total; LATITUDE; Lauenburg links; Lauenburg Mitte; Lauenburg rechts; Lead, dissolved; Lead, total; LONGITUDE; Magdeburg Neue Strombruecke links; Magdeburg Neue Strombruecke Mitte; Magdeburg Neue Strombruecke rechts; Manganese, dissolved; Manganese, total; Mercury, total; Methane; Modular Observation Solutions for Earth Systems; MOSES; MOSES_2023_Elbe-NorthSea; MOSES_2023_Elbe-NorthSea_Inland; Mulde Muendung; MULT; Multiparameter probe, YSI Xylem Inc., EXO2; Multiple investigations; Neu Darchau links; Neu Darchau mitte; Neu Darchau rechts; Nitrate-nitrogen; Nitrite-nitrogen; Nitrogen, organic, particulate; Nitrous oxide; Nutrients; Oxygen saturation; pH; Phosphorus, reactive soluble; Phosphorus, total; Pigments analysis by HPLC (UV and FLD); Riesa Bruecke links; Riesa Bruecke Mitte; Riesa Bruecke rechts; river; Rogaetz links; Rogaetz mitte; Rogaetz rechts; Rosslau links; Rosslau Mitte; Rosslau rechts; Saale Muendung; Schmilka links; Schmilka mitte; Schmilka rechts; Schnackenburg links; Schnackenburg mitte; Schnackenburg rechts; Schwarze Elster Muendung; Segmented flow analysis according to DIN EN ISO 13395:1996-12; Silicon; Tangermuende links; Tangermuende Mitte; Tangermuende rechts; Temperature, water; Torgau Bruecke links; Torgau Bruecke Mitte; Torgau Bruecke rechts; Turbidity (Nephelometric turbidity unit); Werben links; Werben Mitte; Werben rechts; Westerhuesen links; Westerhuesen Mitte; Westerhuesen rechts; Wittenberge, links; Wittenberge, mitte; Wittenberge, rechts; Zehren links; Zehren mitte; Zehren rechts
    Type: Dataset
    Format: text/tab-separated-values, 1972 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 25
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    Shipboard ADCP current measurements (75 kHz) during RV MARIA S. MERIAN cruise MSM117 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: Current velocities of the upper water column along the cruise track of R/V Maria S. Merian cruise MSM117 were collected by a vessel-mounted 75 kHz RDI Ocean Surveyor ADCP. The ADCP transducer was located at 6.0 m below the water line. The instrument was operated in two different configurations: 1) narrowband mode with 8 m bins and a blanking distance of 8 m, with a total of 100 bins, 2) broadband mode with 5 m bins and a blanking distance of 5 m, with a total of 128 bins. Heading, pitch and roll data from the ship's motion reference unit and the navigation data from the Global Positioning systems were used by the data acquisition software VmDAS internally to convert ADCP velocities into earth coordinates. Single-ping data were screened for bottom signals and, where appropriate, a bottom mask was manually processed. The ship's velocity was calculated from position fixes obtained by the Global Positioning System (GPS). Accuracy of the ADCP velocities mainly depends on the quality of the position fixes and the ship's heading data. Further errors stem from a misalignment of the transducer with the ship's centerline. Data post-processing included water track calibration of the misalignment angle (configuration 1: -47.4696° +/- 0.7022°, configuration 2: -47.4676° +/- 0.9771°) and scale factor (configuration1: 1.0081 +/- 0.0114, configuration 2: 1.0086 +/- 0.0161) of the Ocean Surveyor signal. The velocity data were averaged in time using an average interval of 60 s. Velocity quality flagging is based on following threshold criteria: abs(UC) or abs(VC) 〉 2.0 m/s, rms(UC_z) or rms(VC_z) 〉 0.3.
    Keywords: Current velocity, east-west; Current velocity, north-south; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Echo intensity, relative; LATITUDE; LONGITUDE; Maria S. Merian; MSM117; MSM117_0_Underway-4; Pings, averaged to a double ensemble value; Quality flag, current velocity; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); Vessel mounted Acoustic Doppler Current Profiler [75 kHz]; VMADCP-75; WB Circ Brazil
    Type: Dataset
    Format: text/tab-separated-values, 20535010 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 26
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    Shipboard ADCP current measurements (75 kHz) during RV MARIA S. MERIAN cruise MSM122 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: Current velocities of the upper water column along the cruise track of R/V Maria S. Merian cruise MSM122 were collected by a vessel-mounted 75 kHz RDI Ocean Surveyor ADCP. The ADCP transducer was located at 6.0 m below the water line. The instrument was operated in narrowband mode (WM10) with a bin size of 8.00 m, a blanking distance of 8.00 m, and a total of 100 bins, covering the depth range between 22.0 m and 814.0 m. Heading, pitch and roll data from the ship's motion reference unit and the navigation data from the Global Positioning systems were used by the data acquisition software VmDAS internally to convert ADCP velocities into earth coordinates. The ship's velocity was calculated from position fixes obtained by the Global Positioning System (GPS). Accuracy of the ADCP velocities mainly depends on the quality of the position fixes and the ship's heading data. Further errors stem from a misalignment of the transducer with the ship's centerline. Data post-processing included water track calibration of the misalignment angle (-47.4000° +/- 0.4581°) and scale factor (1.0021 +/- 0.0089) of the Ocean Surveyor signal. The velocity data were averaged in time using an average interval of 60 s. Velocity quality flagging is based on different threshold criteria: Depth cells with ensemble-averaged percent-good values below 25% are marked as 'bad data'. Depth cells with velocities above 2.0 m/s are flagged as 'bad data'. Depth cells with a root-mean-square deviation between the measured ensemble-average velocity and a cell-wise running-mean velocity above 0.3 m/s are flagged as 'probably bad data'.
    Keywords: Current velocity, east-west; Current velocity, north-south; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Echo intensity, relative; LATITUDE; LONGITUDE; Maria S. Merian; MSM122; MSM122_0_Underway-3; Pings, averaged to a double ensemble value; Quality flag, current velocity; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); TRANSFORMERS II; Vessel mounted Acoustic Doppler Current Profiler [75 kHz]; VMADCP-75
    Type: Dataset
    Format: text/tab-separated-values, 7610665 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 27
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    Unknown
    Shipboard ADCP current measurements (38 kHz) during RV SONNE cruise SO299/2 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: Current velocities of the upper water column along the cruise track of R/V Sonne cruise SO299/2 were collected by a vessel-mounted 38 kHz RDI Ocean Surveyor ADCP. The ADCP transducer was located at 6.0 m below the water line. The instrument was operated in narrowband mode (WM10) with a bin size of 32.00 m, a blanking distance of 16.00 m, and a total of 50 bins, covering the depth range between 54.0 m and 1622.0 m. Heading, pitch and roll data from the ship's motion reference unit and the navigation data from the Global Positioning systems were used by the data acquisition software VmDAS internally to convert ADCP velocities into earth coordinates. The ship's velocity was calculated from position fixes obtained by the Global Positioning System (GPS). Accuracy of the ADCP velocities mainly depends on the quality of the position fixes and the ship's heading data. Further errors stem from a misalignment of the transducer with the ship's centerline. Data post-processing included water track calibration of the misalignment angle (-0.0835° +/- 0.6233°) and scale factor (1.0005 +/- 0.0091) of the Ocean Surveyor signal. The velocity data were averaged in time using an average interval of 60 s. Velocity quality flagging is based on following threshold criteria: abs(UC) or abs(VC) 〉 1.5 m/s, rms(UC_z) or rms(VC_z) 〉 0.3.
    Keywords: Current velocity, east-west; Current velocity, north-south; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Echo intensity, relative; LATITUDE; LONGITUDE; Pings, averaged to a double ensemble value; Quality flag, current velocity; REE‐T, BIO-OPS_2023; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); SO299/2; SO299/2_0_Underway-6; Sonne_2; Vessel mounted Acoustic Doppler Current Profiler [38 kHz]; VMADCP-38
    Type: Dataset
    Format: text/tab-separated-values, 1660970 data points
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  • 28
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    Shipboard ADCP current measurements (38 kHz) during RV SONNE cruise SO299 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: Current velocities of the upper water column along the cruise track of R/V Sonne cruise SO299 were collected by a vessel-mounted 38 kHz RDI Ocean Surveyor ADCP. The ADCP transducer was located at 6.0 m below the water line. The instrument was operated in narrowband mode (WM10) with a bin size of 32.00 m, a blanking distance of 16.00 m, and a total of 50 bins, covering the depth range between 54.0 m and 1622.0 m. Heading, pitch and roll data from the ship's motion reference unit and the navigation data from the Global Positioning systems were used by the data acquisition software VmDAS internally to convert ADCP velocities into earth coordinates. Single-ping data were screened for bottom signals and, where appropriate, a bottom mask was manually processed. The ship's velocity was calculated from position fixes obtained by the Global Positioning System (GPS). Accuracy of the ADCP velocities mainly depends on the quality of the position fixes and the ship's heading data. Further errors stem from a misalignment of the transducer with the ship's centerline. Data post-processing included water track calibration of the misalignment angle (-0.2374° +/- 0.5601°) and scale factor (1.0045 +/- 0.0097) of the Ocean Surveyor signal. The velocity data were averaged in time using an average interval of 60 s. Velocity quality flagging is based on different threshold criteria: Depth cells with ensemble-averaged percent-good values below 25% are marked as 'bad data'. Depth cells with velocities above 1.5 m/s are flagged as 'bad data'. Depth cells with a root-mean-square deviation between the measured ensemble-average velocity and a cell-wise running-mean velocity above 0.3 m/s are flagged as 'probably bad data'.
    Keywords: Current velocity, east-west; Current velocity, north-south; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; DynaMet; Echo intensity, relative; LATITUDE; LONGITUDE; Pings, averaged to a double ensemble value; Quality flag, current velocity; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); SO299; SO299/1_0_Underway-5; Sonne_2; Vessel mounted Acoustic Doppler Current Profiler [38 kHz]; VMADCP-38
    Type: Dataset
    Format: text/tab-separated-values, 11025015 data points
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  • 29
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    Glacier surface velocities in the Ötztal Alps (Austria), 2017 et seq (2021)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: Glacier surface velocities are measured on four neighbouring glaciers in the Ötztal Alps (Austria). Measurements of the annual horizontal flow velocity (Δs/a [m/a]) on Hintereisferner (HEF) were started in 1885 at stone lines (cross-profiles). Annual values for the stone lines are given as mean values from the stones at the cross-profiles. On Kesselwandferner, the annual horizontal (Δs/a [m/a]) and vertical velocities (Δv/a [m/a], positive upwards and negative downwards) are measured at ablation and accumulation stakes since 1965. On Taschachferner (TSF) and Gepatschferner (GPF), the records of annual and subseasonal horizontal flow velocities at ablation stakes were started in 2009. This data series is a continuation of: doi:10.1594/PANGAEA.896741
    Type: Dataset
    Format: application/zip, 23 datasets
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  • 30
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    Shipboard ADCP current measurements (38 kHz) during RV MARIA S. MERIAN cruise MSM122 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: Current velocities of the upper water column along the cruise track of R/V Maria S. Merian cruise MSM122 were collected by a vessel-mounted 38 kHz RDI Ocean Surveyor ADCP. The ADCP transducer was located at 6.0 m below the water line. The instrument was operated in narrowband mode (WM10) with a bin size of 32.00 m, a blanking distance of 16.00 m, and a total of 50 bins, covering the depth range between 54.0 m and 1622.0 m. Heading, pitch and roll data from the ship's motion reference unit and the navigation data from the Global Positioning systems were used by the data acquisition software VmDAS internally to convert ADCP velocities into earth coordinates. Single-ping data were screened for bottom signals and, where appropriate, a bottom mask was manually processed. The ship's velocity was calculated from position fixes obtained by the Global Positioning System (GPS). Accuracy of the ADCP velocities mainly depends on the quality of the position fixes and the ship's heading data. Further errors stem from a misalignment of the transducer with the ship's centerline. Data post-processing included water track calibration of the misalignment angle (0.4211° +/- 0.4756°) and scale factor (0.9993 +/- 0.0088) of the Ocean Surveyor signal. The velocity data were averaged in time using an average interval of 60 s. Velocity quality flagging is based on different threshold criteria: Depth cells with ensemble-averaged percent-good values below 25% are marked as 'bad data'. Depth cells with velocities above 2.0 m/s are flagged as 'bad data'. Depth cells with a root-mean-square deviation between the measured ensemble-average velocity and a cell-wise running-mean velocity above 0.3 m/s are flagged as 'probably bad data'.
    Keywords: Current velocity, east-west; Current velocity, north-south; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Echo intensity, relative; LATITUDE; LONGITUDE; Maria S. Merian; MSM122; MSM122_0_Underway-6; Pings, averaged to a double ensemble value; Quality flag, current velocity; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); TRANSFORMERS II; Vessel mounted Acoustic Doppler Current Profiler [38 kHz]; VMADCP-38
    Type: Dataset
    Format: text/tab-separated-values, 2577675 data points
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  • 31
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    Basic measurements of radiation at station Lindenberg (2018-02) (2020)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM22, SN 020073, WRMC No. 12014; Pyranometer, Kipp & Zonen, CM22, SN 020074, WRMC No. 12013; Pyrgeometer, Eppley, PIR, SN 32802F3, WRMC No. 12011; Pyrheliometer, Kipp & Zonen, CH1, SN 030340, WRMC No. 12016; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 764122 data points
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  • 32
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    Global taxonomically harmonized pollen data set for Late Quaternary with revised chronologies (LegacyPollen 1.0) (2021)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: This data data set is the taxonomically harmonized pollen data from records 2831 sites. 1032 sites are located in North America, 1075 sites in Europe, 488 sites in Asia, 150 sites in South America, 54 in Africa and 32 in the Indopacific. Most of the data where retrieved from the Neotoma Paleoecology Database (https://www.neotomadb.org/), with additional data from Cao et al. (2020; https://doi.org/10.5194/essd-12-119-2020), Cao et al. (2013, https://doi.org/10.1016/j.revpalbo.2013.02.003) and our own collection for the Asian sector. The ages of the samples refer to the newly established LegacyAge 1.0 framework (https://doi.pangaea.de/10.1594/PANGAEA.933132). The 10,110 original pollen taxa names and notations were harmonized to 1002 taxa names. We present the table with the harmonization approach crossreferencing the original taxa with the harmonized taxa name. The harmonised pollen data are presented as counts (when available) and as percentage values. We complement the data publication by providing the source information on the references (most data are related to Neotoma) as a table linked to each Dataset ID. The data set and site IDs are from Neotoma if the data sets are derived from the Neotoma repository. In case of our own data collection efforts (Cao et al. (2020), Cao et al. (2013) and our own data) we used the already published PANGAEA event names in case they are related to the data or created own site names with referencing to geographical regions similar to the Neotoma data naming principle.
    Keywords: AWI_Envi; fossil pollen; Neotoma; paleoecology; Polar Terrestrial Environmental Systems @ AWI; taxonomically harmonized
    Type: Dataset
    Format: application/zip, 14 datasets
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  • 33
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    Basic measurements of radiation at station Lindenberg (1994-10 et seq) (2022)
    PANGAEA
    In:  Meteorologisches Observatorium Lindenberg - Richard-Aßmann-Observatorium
    Details
    Publication Date: 2024-07-09
    Description: This is a compilation of all short-wave and long-wave radiation datasets from Lindenberg that were and are published in the frame of BSRN. New data will be added regularly. The data are subject to the data release guidelines of BSRN (https://bsrn.awi.de/data/conditions-of-data-release/).
    Keywords: Baseline Surface Radiation Network; BSRN; Germany; LIN; Lindenberg; Monitoring station; MONS
    Type: Dataset
    Format: application/zip, 337 datasets
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  • 34
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    Automatic weather station data collected from 2003 to 2021 at the Greenland ice sheet along the K-transect, West-Greenland (2022)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: We present 18 years (2003-2021) of automatic weather station (AWS) data, collected along the K-transect near Kangerlussuaq in west Greenland. The transect runs from east to west, roughly perpendicular to the ice sheet edge at about 67° N. The K-transect originated from the Greenland Ice Margin Experiments (GIMEX), held in the summers of 1990 and 1991. Until recently, surface mass balance and ice velocity measurements were performed at nine locations along the K-transect, of which four are equipped with AWS: two in the ablation zone at approximately 500 m and 1,000 m asl, one at the approximate equilibrium-line altitude (~1,500 m asl), and one in the lower accumulation zone (~1,850 m asl) at distances of 5, 38, 88, and 140 km from the ice edge, respectively. Here, we present (mostly) half hourly UTC based AWS measurements from these four sites containing temperature/humidity, windspeed/direction, all four radiation components and atmospheric pressure. All data are corrected and quality controlled, for details about this procedure please consult doi:10.1080/15230430.2017.1420954.
    Keywords: automatic weather station; Greenland; K-transect
    Type: Dataset
    Format: application/zip, 64 datasets
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  • 35
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    Eddy-covariance measurements over The Greenland Ice Sheet (K-transect & Q-transect) and Iceland (Vatnajökull) (2022)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: Eddy-covariance observations taken over rough ice and snow surfaces on the Greenland Ice Sheet and on the Vatnajökull ice cap in Iceland between 1996 and 2021. This data contains corrected 30-min averages, variances and covariances of wind components and temperature, as well as estimated near-surface turbulent heat fluxes, roughness lengths, and other meteorological parameters measured by an adjacent automatic weather station. See README.txt for more detailed information.
    Keywords: Ablation
/Accumulation; Automatic weather station; AWS; Binary Object; Binary Object (File Size); Eddy-Covariance; Event label; Greenland; Greenland ice sheet; GRL_QASL; GRL_S10; GRL_S5; GRL_S6; GRL_SHR; Iceland; ISL_A4; ISL_A5; Location; roughness length; S10; S5; S6; turbulent fluxes; Type; Weather station/meteorological observation; West Greenland Ice Sheet; WST; Years
    Type: Dataset
    Format: text/tab-separated-values, 56 data points
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  • 36
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    REVEALS reconstruction of past vegetation cover with original RPP values for African samples (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: This data set presents the reconstructed vegetation cover for 155 African sites based on harmonized pollen data from the data set LegacyPollen 2.0 (https://doi.pangaea.de/10.1594/PANGAEA.929773). Sugita's REVEALS model (2000) was applied to all pollen records using REVEALSinR from the DISQOVER package (Theuerkauf et al. 2016). Pollen counts were translated into vegetation cover by accounting for taxon-specific pollen productivity and fall speed. Additionally, relevant source areas of pollen were calculated using the aforementioned taxon-specific parameters and a gaussian plume model for deposition and dispersal and forest cover was reconstructed. Values for relative pollen productivity and fall speed from the synthesis from Wiezcorek and Herzschuh (2010) were used for the reconstruction of vegetation cover. The average values from all Northern Hemisphere values were used where taxon-specific continental values were not available. We present tables with reconstructed vegetation cover for all continents with original parameters. As further details we list a table with the taxon-specific parameters used and a list of parameters adjusted in the default version of REVEALSinR.
    Keywords: 02DIOGO; 02GUIERS; Abies, cover; ABIJATA_Pollen; Acacia, cover; Acanthaceae, cover; Acanthophoenix, cover; Acer, cover; Achariaceae, cover; Acridocarpus, cover; Adansonia, cover; Adenanthera, cover; Adenium, cover; Adenocarpus, cover; Adina, cover; Afraegle, cover; Africa; Afzelia, cover; AH1_Pollen; AH2_Pollen; Aidia, cover; Aizoaceae, cover; Alangium, cover; ALB3PC; ALBATROS_Pollen; ALBITR1; ALBITR2; Albitrunca Cliff; Albizia, cover; Alchornea, cover; Algeria; Allophylus, cover; Alnus, cover; Alstonia, cover; Amanoa, cover; Amaranthaceae, cover; Amaryllidaceae, cover; Anacardiaceae, cover; Anacardium, cover; ANDOLO; Androstachys, cover; Annona, cover; Annonaceae, cover; Anogeissus, cover; Anopyxis, cover; ANS_Pollen; Anthocleista, cover; Anthostema, cover; Antiaris, cover; Antidesma, cover; Antrocaryon, cover; Aphania, cover; Aphloia, cover; Apiaceae, cover; Apocynaceae, cover; Apodytes, cover; Araceae, cover; Araliaceae, cover; Arbutus, cover; Ardisia, cover; Area; Arecaceae, cover; Argania, cover; Argomuellera, cover; Artemisia, cover; Ascarina, cover; Asparagaceae, cover; Asphodelaceae, cover; Asteraceae, cover; Avicennia, cover; AWI_Envi; BADDA; Badda bog; Baikiaea, cover; BAL_Pollen; Balanites, cover; Balsaminaceae, cover; BAMBILI1; Bambili 1; BAMBILI2; Bambili 2; Baphia, cover; Barbeya, cover; Barringtonia, cover; Basellaceae, cover; BASESECT_Pollen; Basin; Bauhinia, cover; Begoniaceae, cover; BEK_Pollen; BEMBA_Pollen; Berberidaceae, cover; Bergia, cover; Berlinia, cover; Bersama, cover; Bertiera, cover; Betula, cover; Bignoniaceae, cover; Bismarckia, cover; Blighia, cover; Bois de Bilanko; Bombax, cover; Boraginaceae, cover; Borassus, cover; Boscia, cover; Boswellia, cover; BOURDIM; Bourdim, Algeria; Brachylaena, cover; Brachystegia, cover; Brachystephanus, cover; Brassicaceae, cover; Bridelia, cover; Brucea, cover; Bruniaceae, cover; BSM97_Pollen; Buddleja, cover; Burkea, cover; Burseraceae, cover; Buxus, cover; Cadaba, cover; Caesalpinia, cover; Calculated average/mean values; CALDERIL_Pollen; Calendar age, maximum/old; Calendar age, mean; Calendar age, median; Calendar age, minimum/young; Calostephane, cover; Campanulaceae, cover; Campylospermum, cover; Canarium, cover; Cannabaceae, cover; Canthium, cover; Capparaceae, cover; Capparis, cover; Caprifoliaceae, cover; Carapa, cover; Carissa, cover; Carya, cover; Caryophyllaceae, cover; Casearia, cover; Cassia, cover; Cassine, cover; Cassipourea, cover; Castanea, cover; Casuarina, cover; Catha, cover; Catunaregam, cover; Cedrus, cover; Ceiba, cover; Celastraceae, cover; Celtis, cover; Ceratonia, cover; Cercestis, cover; CH22KW31_Pollen; Chaetachme, cover; Chionanthus, cover; Chrysobalanus, cover; Chrysophyllum, cover; Chytranthus, cover; Cistaceae, cover; Citrus, cover; Clausena, cover; Cleistanthus, cover; Cleomaceae, cover; Clerodendrum, cover; Cliffortia, cover; Clusiaceae, cover; Cocculus, cover; Cochlospermum, cover; Cocos, cover; Coffea, cover; Cola, cover; Colchicaceae, cover; Colophospermum, cover; Combretaceae, cover; Combretum, cover; Commelinaceae, cover; Commiphora, cover; COMPCORE; Composite Core; Connaraceae, cover; Continent; Convolvulaceae, cover; Copaifera, cover; CORAF; CORAF2; CORAFT; Cordia, cover; Core; CORE; CoreS2; CoreS6; CoreS7; CoreS8; Cornus, cover; Corylus, cover; Coula, cover; CRAIG; Craigrossie; Crassulaceae, cover; Crateva, cover; Crudia, cover; Cucurbitaceae, cover; Cunoniaceae, cover; Cupressaceae, cover; Cupressus, cover; Cussonia, cover; Cylicodiscus, cover; Cylicomorpha, cover; Cynometra, cover; Cyperaceae, cover; Cytinaceae, cover; Dacryodes, cover; Dalbergia, cover; Daniellia, cover; DARFATMA; Dar Fatma, Tunisia; Dasylepis, cover; Data ID; DEELMER1_Pollen; Deinbollia, cover; Delonix, cover; DEPTH, sediment/rock; Detarium, cover; Deva-Deva; DEVA-DEVA; Dialium, cover; Diameter; Dichapetalaceae, cover; Dichrostachys, cover; Dictyosperma, cover; Didiereaceae, cover; Dilleniaceae, cover; Diogo; Dioscoreaceae, cover; Diospyros, cover; Dipsacaceae, cover; Dipterocarpaceae, cover; Djebel El Ghorra, Tunisia; Dobera, cover; Dodonaea, cover; Dombeya, cover; Dracaena, cover; Driehoek; Drypetes, cover; Dypsis, cover; E4_Pollen; E96-1P; E96-5M; Ebenaceae, cover; Ehretia, cover; Ekebergia, cover; Elaeagnaceae, cover; Elaeis, cover; Elaeocarpaceae, cover; Elaeocarpus, cover; Elaeophorbia, cover; ELANDSBA_Pollen; ELIMSEQ; Elim Swamp; ELKHALED; Englerophytum, cover; Entada, cover; Entandrophragma, cover; Ephedra, cover; Ephedraceae, cover; Ericales, cover; Eriocoelum, cover; Erythrina, cover; Erythrococca, cover; Erythrophleum, cover; Erythroxylum, cover; ESAMBU_Pollen; ETEZA_Pollen; Eucalyptus, cover; Euclea, cover; Eugenia, cover; Euphorbiaceae, cover; EV11_Pollen; EV13; Event label; Excoecaria, cover; Fabaceae, cover; Fadogia, cover; Fagaropsis, cover; Fagus, cover; Faidherbia, cover; Faurea, cover; Ficalhoa, cover; Ficus, cover; FILIM_Pollen; Flacourtia, cover; FLECK_Pollen; Fleroya, cover; Flueggea, cover; Foetidia, cover; Forest, cover; fossil pollen; FPORTAL2_Pollen; Frankeniaceae, cover; Fraxinus, cover; Funtumia, cover; Gaertnera, cover; GALINHA_Pollen; GAMA2_Pollen; GAMA4_Pollen; Ganophyllum, cover; Garaat El-Ouez, Algeria; GARATOUE; Garcinia, cover; Gardenia, cover; GDV4; Genista, cover; Gentianaceae, cover; Geraniaceae, cover; Gesneriaceae, cover; GHORRA01; Ghorra I; Gilbertiodendron, cover; Glenniea, cover; Grewia, cover; GROOTDRIFT; Grootdrift - Verlorenvlei; Guibourtia, cover; Guiera, cover; Gunneraceae, cover; Gymnosporia, cover; Gyrocarpus, cover; HACHLAF1_Pollen; Haematostaphis, cover; Hagenia, cover; Hamamelidaceae, cover; Harrisonia, cover; HARUB2; Harubes; Harungana, cover; HAWA_Pollen; Heisteria, cover; Heliotropium, cover; Heteropterys, cover; Hevea, cover; Hildegardia, cover; HL_Pollen; Holoptelea, cover; Homalium, cover; Hydroleaceae, cover; Hylodendron, cover; Hymenocardia, cover; Hymenodictyon, cover; Hymenostegia, cover; Hyophorbe, cover; Hypericaceae, cover; Hyphaene, cover; Icacinaceae, cover; IKIMBA2_Pollen; Ilex, cover; Illigera, cover; Indeterminable, cover; Indigofera, cover; Iridaceae, cover; Irvingia, cover; Isoberlinia, cover; Ixora, cover; JIKARIYA_Pollen; Juglans, cover; Julbernardia, cover; Juncaceae, cover; Juniperus, cover; KA1; KA3; KAI_Pollen; KAJ_Pollen; Kashiru_Bog_Pollen; Kashiru Swamp; KAVITAHA_Pollen; KH3_Pollen; KH4_Pollen; KHATU_Pollen; Khaya, cover; KIG2_Pollen; Kigelia, cover; Kiggelaria, cover; KIMILIA_Pollen; KIMILIB_Pollen; Kirkia, cover; Kitumbako; KITUMBAKO; KLAARFONT; Klaarfontein Springs; KN1A_Pollen; KOITOBOS_Pollen; KT3_Pollen; KUL_Pollen; LABOOTA_Pollen; Labourdonnaisia, cover; Lake Albert WHOI core 3PC; Lake Andolonomby; Lake Edward; Lake Eilandvlei; Lake Guiers; Lake Malawi MAL05-2; Lake Tritrivakely; Lamiaceae, cover; Lannea, cover; Lasianthus, cover; Lasiodiscus, cover; Latania, cover; LATITUDE; Lauraceae, cover; Laurus, cover; Lawsonia, cover; Lecythidaceae, cover; Lepisanthes, cover; Leptaulus, cover; Leucosidea, cover; LH1; LH3; Liliaceae, cover; Limeaceae, cover; Linaceae, cover; Linderniaceae, cover; Livingstone piston sampler; LKMBTU5_Pollen; Location ID; Loesenera, cover; Lonchocarpus, cover; LONGITUDE; Lophira, cover; Lovoa, cover; LPOUL_Pollen; LPS; LT1_Pollen; LT84-8P_Pollen; LT9812M_Pollen; LT9837M_Pollen; LT9858M_Pollen; Lumnitzera, cover; Lythraceae, cover; Macaranga, cover; Maclura, cover; Maerua, cover; Maesa, cover; Maesopsis, cover; MAHOMA; Mahoma Lake; Majen Ben Hmida, Tunisia; Majen El Orbi, Tunisia; MAJENHMI; Majidea, cover; MAJORBOG; MAJORMAR; MAL05-2A; MALAHLAPAN; Malahlapanga; Mallotus, cover; Malpighiaceae, cover; Malvaceae, cover; Mangifera, cover; Manilkara, cover; Mansonia, cover; Maprounea, cover; Maranthes, cover; Mare aux Songes; Mare dOursi; Margaritaria, cover; Markhamia, cover; Martretia, cover; MARURA_Pollen; MAS1TR4C3; MASOKO_Pollen; Maytenus, cover; MBALA_Pollen; MBORO_Pollen; Median values; Melastomataceae, cover; Meliaceae, cover; Melochia, cover; Menispermaceae,
    Type: Dataset
    Format: text/tab-separated-values, 19077771 data points
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  • 37
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    Water chemistry of Lagrangian samplings of Inland Elbe 2022 (MOSES Hydrological Extremes) (2023)
    PANGAEA
    In:  Helmholtz Centre for Environmental Research - UFZ
    Details
    Publication Date: 2024-07-09
    Description: The MOSES campaign ELBE 2022 covered the Czech freshwater Elbe, the German freshwater part, the tidal Elbe river, and the German Bight. Thus, the complete gradient from source to sea was investigated for the first time. The sampling will be conducted in a Langrangian way according to flow velocity. In the German freshwater Elbe, physico-chemical and biological parameters will be measured along the Elbe using the research vessel ALBIS from Schmilka (km 4, German border) to Geestacht (km 585, close to Hamburg). A particular scientific focus was on (1) composition of dissolved organic matter measured by high-resolution mass specrometry, (2) investigation of zooplankton besides bacteria and algae, and (3) greenhouse gas measurements in water and air (the latter was investigated in more detail during an addition campaing in Tangermünde in August 2022).
    Keywords: 2022ELBE_el00400l; 2022ELBE_el00400m; 2022ELBE_el00400r; 2022ELBE_el05450l; 2022ELBE_el05450m; 2022ELBE_el05450r; 2022ELBE_el08800l; 2022ELBE_el08800m; 2022ELBE_el08800r; 2022ELBE_el10700l; 2022ELBE_el10700m; 2022ELBE_el10700r; 2022ELBE_el15450l; 2022ELBE_el15450m; 2022ELBE_el15450r; 2022ELBE_el17200m; 2022ELBE_el17200r; 2022ELBE_el17260l; 2022ELBE_el19900muend; 2022ELBE_el25800l; 2022ELBE_el25800m; 2022ELBE_el25800r; 2022ELBE_el25900muend; 2022ELBE_el28700l; 2022ELBE_el28700m; 2022ELBE_el28700r; 2022ELBE_el29070muend; 2022ELBE_el31800l; 2022ELBE_el31800m; 2022ELBE_el31800r; 2022ELBE_el32653l; 2022ELBE_el32653m; 2022ELBE_el32653r; 2022ELBE_el35100l; 2022ELBE_el35100m; 2022ELBE_el35100r; 2022ELBE_el38800l; 2022ELBE_el38800m; 2022ELBE_el38800r; 2022ELBE_el42225l; 2022ELBE_el42225m; 2022ELBE_el42225r; 2022ELBE_el43800muend; 2022ELBE_el45490l; 2022ELBE_el45490m; 2022ELBE_el45490r; 2022ELBE_el47500l; 2022ELBE_el47500m; 2022ELBE_el47500r; 2022ELBE_el50600l; 2022ELBE_el50600m; 2022ELBE_el50600r; 2022ELBE_el53600l; 2022ELBE_el53600m; 2022ELBE_el53600r; 2022ELBE_el57040l; 2022ELBE_el57040m; 2022ELBE_el57040r; 2022ELBE_el58550l; 2022ELBE_el58550m; 2022ELBE_el58550r; Albis; Ammonium molybdate spectrometric method; Ammonium-nitrogen; Area/locality; Arsenic, dissolved; Arsenic, total; Base capacity 4.3; Base capacity 8.2; Breitenhagen links; Breitenhagen mitte; Breitenhagen rechts; Carbon, organic, dissolved; Carbon, organic, particulate; Carbon dioxide; CFA; Chlorophyll a; Conductivity, electrical; Continuous Flow Analysis; DATE/TIME; Distance; Doemitz links; Doemitz Mitte; Doemitz rechts; Dommitzsch links; Dommitzsch Mitte; Dommitzsch rechts; Dresden Carolabruecke links; Dresden Carolabruecke Mitte; Dresden Carolabruecke rechts; Elbe; Event label; Gas chromatograph (8610C, SRI Instruments, Torrance, USA); Geestacht links; Geestacht rechts; Geesthacht Mitte; greenhouse gas; Havel Muendung; HPLCO; ICP-OES; InfraRed sensor detection according to DIN EN 1484:1997 DE; Iron, dissolved; Iron, total; LATITUDE; Lauenburg links; Lauenburg Mitte; Lauenburg rechts; Lead, dissolved; Lead, total; LONGITUDE; Magdeburg Neue Strombruecke links; Magdeburg Neue Strombruecke Mitte; Magdeburg Neue Strombruecke rechts; Manganese, dissolved; Manganese, total; Mercury, total; Methane; Modular Observation Solutions for Earth Systems; MOSES; MOSES_2022_Elbe-NorthSea; MOSES_2022_Elbe-NorthSea_Inland; Mulde Muendung; MULT; Multiparameter probe, YSI Xylem Inc., EXO2; Multiple investigations; Neu Darchau links; Neu Darchau mitte; Neu Darchau rechts; Nitrate-nitrogen; Nitrite-nitrogen; Nitrogen, organic, particulate; Nitrous oxide; Nutrients; Oxygen saturation; pH; Phosphorus, reactive soluble; Phosphorus, total; Pigments analysis by HPLC (UV and FLD); Riesa Bruecke links; Riesa Bruecke Mitte; Riesa Bruecke rechts; river; Rogaetz links; Rogaetz mitte; Rogaetz rechts; Rosslau links; Rosslau Mitte; Rosslau rechts; Saale Muendung; Schmilka links; Schmilka mitte; Schmilka rechts; Schnackenburg links; Schnackenburg mitte; Schnackenburg rechts; Schwarze Elster Muendung; Segmented flow analysis according to DIN EN ISO 13395:1996-12; Silicon; Tangermuende links; Tangermuende Mitte; Tangermuende rechts; Temperature, water; Torgau Bruecke links; Torgau Bruecke Mitte; Torgau Bruecke rechts; Turbidity (Nephelometric turbidity unit); Werben links; Werben Mitte; Werben rechts; Westerhuesen links; Westerhuesen Mitte; Westerhuesen rechts; Wittenberge, links; Wittenberge, mitte; Wittenberge, rechts; Zehren links; Zehren mitte; Zehren rechts
    Type: Dataset
    Format: text/tab-separated-values, 2011 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 38
    facet.materialart.
    Unknown
    REVEALS reconstruction of past vegetation cover with original RPP values for South American samples (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: This data set presents the reconstructed vegetation cover for 173 South American sites based on harmonized pollen data from the data set LegacyPollen 2.0 (https://doi.pangaea.de/10.1594/PANGAEA.929773). Sugita's REVEALS model (2000) was applied to all pollen records using REVEALSinR from the DISQOVER package (Theuerkauf et al. 2016). Pollen counts were translated into vegetation cover by accounting for taxon-specific pollen productivity and fall speed. Additionally, relevant source areas of pollen were calculated using the aforementioned taxon-specific parameters and a gaussian plume model for deposition and dispersal and forest cover was reconstructed. Values for relative pollen productivity and fall speed from the synthesis from Wiezcorek and Herzschuh (2010) were used for the reconstruction of vegetation cover. The average values from all Northern Hemisphere values were used where taxon-specific continental values were not available. We present tables with reconstructed vegetation cover for all continents with original parameters. As further details we list a table with the taxon-specific parameters used and a list of parameters adjusted in the default version of REVEALSinR.
    Keywords: Abatia, cover; Acacia, cover; Acanthaceae, cover; ACARABIX; Acer, cover; Achatocarpus, cover; Acnistus, cover; Adelobotrys, cover; Adenanthera, cover; Aextoxicon, cover; Aguilar; AGUILAR; Alchornea, cover; Alchorneopsis, cover; Aldina, cover; Alibertia, cover; Allophylus, cover; Alnus, cover; Aloysia, cover; ALSACIA; Alstroemeriaceae, cover; Amaioua, cover; Amaranthaceae, cover; Amarete; AMARETE; Amaryllidaceae, cover; Ampelocera, cover; Anacardiaceae, cover; Anacardium, cover; Anadenanthera, cover; Andabobos; ANDABOBS; Andira, cover; Anemopaegma, cover; ANGEL_neotoma; ANGEL, Laguna Angel; Aniba, cover; Annona, cover; Annonaceae, cover; Anthodiscus, cover; Aparisthmium, cover; Apeiba, cover; Apiaceae, cover; Apocynaceae, cover; Aquifoliaceae, cover; AQUIRI; Araceae, cover; Araliaceae, cover; Araucaria, cover; Ardisia, cover; Area; Arecaceae, cover; Aristotelia, cover; Arrabidaea, cover; Artemisia, cover; Asparagaceae, cover; Aspidosperma, cover; Asteliaceae, cover; Asteraceae, cover; Asterales, cover; Astrocaryum, cover; Astronium, cover; Attalea, cover; Austrocedrus, cover; AVICENNIA; Avicennia, cover; AWI_Envi; Azara, cover; Bactris, cover; Balanophoraceae, cover; Balfourodendron, cover; Balsaminaceae, cover; Banara, cover; Basin; Bataceae, cover; Bauhinia, cover; Begoniaceae, cover; BELLVIS_Pollen; Berberidaceae, cover; Bertiera, cover; Betula, cover; Betulaceae, cover; Bignoniaceae, cover; Billia, cover; Bixaceae, cover; Blepharandra, cover; BOAVISTA; Bocoa, cover; Bombacopsis, cover; Bombax, cover; Bonnetiaceae, cover; Boquillas; BOQUILLAS; Boraginaceae, cover; Boscia, cover; Bosque de Avicennia; Bougainvillea, cover; Bowdichia, cover; Brassicaceae, cover; Bromeliaceae, cover; Brosimum, cover; Broussonetia, cover; Brownea, cover; Brunellia, cover; Buddleja, cover; Bunchosia, cover; Burmanniaceae, cover; Bursera, cover; Burseraceae, cover; Byrsonima, cover; CABOSQUE; Cabralea, cover; Cactaceae, cover; Caesalpinia, cover; CAIMITO; CAJANUMA_Pollen; CALACONT; Cala Conto; Calceolariaceae, cover; Calculated average/mean values; Calendar age, maximum/old; Calendar age, mean; Calendar age, median; Calendar age, minimum/young; Calliandra, cover; Calophyllaceae, cover; Calophyllum, cover; Calyceraceae, cover; Calycolpus, cover; Calycophyllum, cover; Campanulaceae, cover; Campnosperma, cover; Campomanesia, cover; Campo Salgado; Campsiandra, cover; Canal de la Puntilla; Cannabaceae, cover; Capparaceae, cover; Capparis, cover; Caprifoliaceae, cover; CAR982L; CARANA; CARANGAM_Pollen; Carapa, cover; CARIMAGUA; Cariniana, cover; Caryocar, cover; Caryocaraceae, cover; Caryophyllaceae, cover; CASANOVA; Casearia, cover; Cassia, cover; Cassipourea, cover; Castela, cover; Castilla, cover; Casuarina, cover; Catostemma, cover; CAUNAHU1; Caunahue; Cavanillesia, cover; Cayambe; CAYAMBE; Cecropia, cover; Cedrela, cover; Ceiba, cover; Celastraceae, cover; Celtis, cover; Centrolobium, cover; Ceroxylon, cover; Cerro Calvario; Cerro Toledo; CERTOCTB; CERTOLCT; CHACALT1; CHACALT2; Chacaltaya 1; Chacaltaya 2; CHALALAN; Chamaedorea, cover; CHAPLIN_Pollen; Cheiloclinium, cover; Chelyocarpus, cover; CHENEVO; Chloranthaceae, cover; CHOCHOS; Chor; Chorreras; Chrysobalanaceae, cover; Chrysobalanus, cover; Chrysophyllum, cover; CIEGAIII; Ciénaga del Visitador; Cistaceae, cover; Citrus, cover; CLARENCE; Cleidion, cover; Cleomaceae, cover; Clethra, cover; Clethraceae, cover; Clusia, cover; Clusiaceae, cover; COCALVAR; Coccoloba, cover; COCHACAR; Cochlospermum, cover; Codia, cover; COLOCO3_Pollen; Colubrina, cover; Columelliaceae, cover; Combretaceae, cover; Combretum, cover; Commelinaceae, cover; CONDOR; Connaraceae, cover; Connarus, cover; CONSUELO1; CONSUELO2; Continent; Convolvulaceae, cover; Copaifera, cover; Copernicia, cover; COR300_Pollen; Cordia, cover; Cordón Serrucho Norte wetland; Coriariaceae, cover; Corylus, cover; Costaceae, cover; COTAPAMP; Cotapampa; Couepia, cover; Couratari, cover; Coutarea, cover; Crassulaceae, cover; Crescentia, cover; Crudia, cover; Cryosophila, cover; CTIGRE_Pollen; Cucurbitaceae, cover; CUEVAHAI; Cueva Haichol; CUEVAMIL; Cueva Milodon; CUMBREUN; Cumbre Unduavi; Cunoniaceae, cover; Cupania, cover; Cupressaceae, cover; CURUCAA; CURUCAB; Cybianthus, cover; Cyclanthaceae, cover; Cyperaceae, cover; Cyrilla, cover; Dacrydium, cover; Dacryodes, cover; Dalbergia, cover; Daphnopsis, cover; DASPATAS; Dasyphyllum, cover; Data ID; Dendropanax, cover; DEPTH, sediment/rock; Diameter; Dichapetalaceae, cover; Dictyocaryum, cover; Didymopanax, cover; Dilleniaceae, cover; Dinizia, cover; Dioscoreaceae, cover; Diospyros, cover; Discaria, cover; Dodonaea, cover; Drimys, cover; Duroia, cover; ECSF_CON; Ecuadorian Andes; EL_PINAL; Elaeagia, cover; Elaeagnus, cover; Elaeocarpaceae, cover; Elaeoluma, cover; ELJUNCO; El Patia-1; El Patía-2; ELTIRO; EL Tiro-Pass; Embothrium, cover; Emmotum, cover; Encelia, cover; Endopleura, cover; Entada, cover; Ephedra, cover; Ericales, cover; Eriotheca, cover; Erisma, cover; Erythrina, cover; Erythroxylaceae, cover; Erythroxylum, cover; Escallonia, cover; Escalloniaceae, cover; Eschweilera, cover; Esenbeckia, cover; Estación Científica San Francisco Cerro de Consuel; Eucalyptus, cover; Eucryphia, cover; Eugenia, cover; Euphorbiaceae, cover; Euterpe, cover; Event label; Fabaceae, cover; Fabales, cover; Faramea, cover; Ferdinandusa, cover; Ficus, cover; Fitzroya, cover; FLAMENGO; FONT; Forest, cover; fossil pollen; Francoaceae, cover; Fraxinus, cover; Froesiodendron, cover; Fuchsia, cover; FUQUENE2; FURCHATO; Furo do Chato; Gaiadendron, cover; Garcinia, cover; GARIBALD; Geissanthus, cover; Genipa, cover; Gentianaceae, cover; GEOB16205_Pollen; GEOB2107-3_Pollen; Geonoma, cover; GERAIS; Geraniaceae, cover; Gesneriaceae, cover; Gevuina, cover; GOBER; Godoya, cover; Gomortega, cover; Gordonia, cover; Goupia, cover; GRANJA; Griselinia, cover; Grossulariaceae, cover; Guarea, cover; Guatteria, cover; Guazuma, cover; Guettarda, cover; Gunneraceae, cover; Gustavia, cover; HARBERT; Harberton; Havardia, cover; Hedyosmum, cover; Heisteria, cover; Helicostylis, cover; Helicteres, cover; Heliocarpus, cover; Heliotropium, cover; Herrania, cover; HERRERA; Hesperomeles, cover; Heteropterys, cover; Hieronyma, cover; Himatanthus, cover; Hippomane, cover; Hirtella, cover; HUALAHUE; HUILA; Humiriaceae, cover; Hura, cover; Hydrangea, cover; Hydrangeaceae, cover; Hydrogaster, cover; Hymenaea, cover; Hypericaceae, cover; Icacinaceae, cover; Ilex, cover; Indeterminable, cover; Indigofera, cover; Inga, cover; Iriartea, cover; Iriartella, cover; Iridaceae, cover; Iryanthera, cover; Isertia, cover; Isla Clarence; ITAPEVA; Ixora, cover; Jacaranda, cover; Juglandaceae, cover; Juglans, cover; Juncaceae, cover; Juniperus, cover; KATANTI; Katantica; Kielmeyera, cover; Krameriaceae, cover; KUMPAKA_Pollen; LACHONTA1; La Chonta Bog; Lacistema, cover; Lacmellea, cover; LACOCHA3; Laetia, cover; Lafoensia, cover; Lagoa Campestre de Salitre; Lagoa da Curuça; Lagoa das Patas; Lago Cardiel; Lago do Aquiri; Lago do Pires; Lago Huala Hué; Lago Mascardi-Gutierrez; LAGOMOR1; Lago Moreno; Lago Mosquito; Lago Rogaguado; Lago Theobald; LAGSAL; Laguna Carimagua; Laguna Carimagua-Bosque; Laguna Chenevo; Laguna Ciega; Laguna Cocha Caranga; Laguna de Chochos; Laguna de Fúquene; Laguna De La Cocha; Laguna de la Herrera; Laguna del Cóndor; Laguna del Maule; Laguna de los Bobos; Laguna El Caimito; Laguna El Junco; Laguna El Piñal; Laguna el Trébol; Laguna Gobernador; Laguna Granja; Laguna Huatacocha; Laguna Jeronimo; Laguna Junín; Laguna La Pava; Laguna La Primavera; Laguna Las Margaritas; Laguna Loma Linda; Laguna Mandioré; Laguna Milloc; Laguna Mozambique; Laguna Negra de Alsacia; Laguna Orícore; Laguna Padre Laguna; Laguna Pallcacocha; Laguna Piusbi [Laguna El Trueno]; Laguna Pomacocha; Laguna Rabadilla de Vaca; Laguna Salinas; Laguna Sardinas; Laguna Tuctua; Laguna Zurita; Laguncularia, cover; Lake Acarabixi; Lake Caranã; Lake Chalalán; Lake Consuelo; Lake Huila; Lake Refugio 1; Lake
    Type: Dataset
    Format: text/tab-separated-values, 25495278 data points
    Location Call Number Expected Availability
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  • 39
    facet.materialart.
    Unknown
    Hornsund DEM - orthomosaics and Digital Elevation Models from the vicinity of the Polish Polar Station Hornsund, Spitsbergen, Svalbard (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: In the age of remote sensing, particularly with new generation Uncrewed Aerial Vehicles (UAVs), there is a broad spectrum of applications, especially in remote and rapidly changing areas such as the Arctic. Due to challenging conditions in this region, there is a scarcity of detailed spatial studies with data that may be used to estimate changes in glacier volume and geomorphological changes caused by permafrost freeze–thaw cycles. Drone-based Digital Elevation Models (DEM) offer a finer spatial resolution with higher accuracy than airborne and satellite-based products that can be used for acquiring, interpreting, and precisely representing spatial data in broad studies. In this study, we evaluate a UAV-based DEM of two High Arctic catchments, Fuglebekken and Ariebekken, located on Spitsbergen Island. The surveys were carried out in July 2022 using a DJI Matrice 300 RTK drone equipped with a photogrammetric Zenmuse P1 camera. A total of 371 images were taken, covering an area of 7.81 km2. The DEM was created by the Structure-from-Motion technique and achieved a centimetre-level accuracy by overlapping very high-resolution images. The final resolution of the DEM was found to be 0.06 m in Fuglebekken and 0.07 m in Ariebekken, with a horizontal and vertical RMSE of 0.09 m and 0.20 m, respectively.
    Keywords: File content; Hornsund; North Greenland Sea; Raster graphic, GeoTIFF format; Raster graphic, GeoTIFF format (File Size)
    Type: Dataset
    Format: text/tab-separated-values, 8 data points
    Location Call Number Expected Availability
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  • 40
    facet.materialart.
    Unknown
    Shipboard ADCP current measurements (75 kHz) during RV SONNE cruise SO299/2 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: Current velocities of the upper water column along the cruise track of R/V Sonne cruise SO299/2 were collected by a vessel-mounted 75 kHz RDI Ocean Surveyor ADCP. The ADCP transducer was located at 6.0 m below the water line. The instrument was operated in narrowband mode (WM10) with a bin size of 8.00 m, a blanking distance of 8.00 m, and a total of 100 bins, covering the depth range between 22.0 m and 814.0 m. Heading, pitch and roll data from the ship's motion reference unit and the navigation data from the Global Positioning systems were used by the data acquisition software VmDAS internally to convert ADCP velocities into earth coordinates. The ship's velocity was calculated from position fixes obtained by the Global Positioning System (GPS). Accuracy of the ADCP velocities mainly depends on the quality of the position fixes and the ship's heading data. Further errors stem from a misalignment of the transducer with the ship's centerline. Data post-processing included water track calibration of the misalignment angle (0.0830° +/- 0.4577°) and scale factor (0.9966 +/- 0.0102) of the Ocean Surveyor signal. The velocity data were averaged in time using an average interval of 120 s. Velocity quality flagging is based on following threshold criteria: abs(UC) or abs(VC) 〉 1.5 m/s, rms(UC_z) or rms(VC_z) 〉 0.3.
    Keywords: Current velocity, east-west; Current velocity, north-south; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Echo intensity, relative; LATITUDE; LONGITUDE; Pings, averaged to a double ensemble value; Quality flag, current velocity; REE‐T, BIO-OPS_2023; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); SO299/2; SO299/2_0_Underway-7; Sonne_2; Vessel mounted Acoustic Doppler Current Profiler [75 kHz]; VMADCP-75
    Type: Dataset
    Format: text/tab-separated-values, 2143110 data points
    Location Call Number Expected Availability
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  • 41
    facet.materialart.
    Unknown
    Carbon compounds, methane concentration and nutritional composition of water samples along the Elbe to the North Sea (German Bight) during the MOSES projects' Sternfahrt 9 in 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: The "Sternfahrt 9" cruise was conducted from the 30th of May to the 2nd of June 2022, covering a late spring situation in the German Bight. The three participating vessels (Littorina, Uthörn and Ludwig Prandtl) covered a wide range from 7.6°E to 8.9°E and from 53.5°N to 54.8°N, following similar tracks and sampling stations like those of the "Sternfahrt 5" in September 2020. Objective of this cruise was to get new insights on the chemical transformation of Chlorophyll-a and dissolved organic matter from the Elbe, Tide-Elbe and North Sea. Therefore, each ship was continuously measuring different hydrographic parameters and greenhouse gases along their tracks (not included in the present dataset, please see article(s) 'related to'). Additionally, each day eight stations were run by the crews along their respective track (for a more detailed description see 'file description'). Thus, delivering discrete water samples for later analyses of DIC, TA, DOC, methane, nutrients and explosive metals. Due to partly bad weather not always all stations could be realized. While the vessel Littorina covered the south eastern part of the German Bight, the Ludwig Prandtl went further North until the small island Amrum. The Uthörn instead sampled on one side in the north of Heligoland and on the other side in the south and south-west towards Cuxhaven (see map in 'additional metadata'). For more detailed information about the MOSEShx campaign and the cruise Sternfahrt 9, see article cited in references.
    Keywords: Alfred-Wegener-Institute; Alkalinity, total; Ammonium; Carbon, organic, dissolved; Carbon, organic, particulate; Carbon cycle; Chlorophyll a; chlorophyll-a; DATE/TIME; DEPTH, water; DOC; Elbe; Event label; Geomar; German Bight; Helgoland; Hereon; KON_stern_9_P-1; KON_stern_9_P-10; KON_stern_9_P-11; KON_stern_9_P-12; KON_stern_9_P-13; KON_stern_9_P-14; KON_stern_9_P-15; KON_stern_9_P-16; KON_stern_9_P-17; KON_stern_9_P-18; KON_stern_9_P-19; KON_stern_9_P-2; KON_stern_9_P-20; KON_stern_9_P-21; KON_stern_9_P-22; KON_stern_9_P-23; KON_stern_9_P-24; KON_stern_9_P-25; KON_stern_9_P-26; KON_stern_9_P-27; KON_stern_9_P-3; KON_stern_9_P-4; KON_stern_9_P-5; KON_stern_9_P-6; KON_stern_9_P-7; KON_stern_9_P-8; KON_stern_9_P-9; L-01; L-02; L-03; L-04; L-05; L-06; L-07; L-08; L-09; L-10; L-11; L-12; L-13; L-14; L-15; L-16; L-17; L-18; L-19; L-20; L-21; L-22; L22_stern_9_L-01; L22_stern_9_L-02; L22_stern_9_L-03; L22_stern_9_L-04; L22_stern_9_L-05; L22_stern_9_L-06; L22_stern_9_L-07; L22_stern_9_L-08; L22_stern_9_L-09; L22_stern_9_L-10; L22_stern_9_L-11; L22_stern_9_L-12; L22_stern_9_L-13; L22_stern_9_L-14; L22_stern_9_L-15; L22_stern_9_L-16; L22_stern_9_L-17; L22_stern_9_L-18; L22_stern_9_L-19; L22_stern_9_L-20; L22_stern_9_L-21; L22_stern_9_L-22; L22_stern_9_L-23; L22_stern_9_L-24; L-23; L-24; LATITUDE; Littorina; LONGITUDE; Ludwig Prandtl; Methane; Modular Observation Solutions for Earth Systems; MOSES; MOSES_2022_Elbe-NorthSea; MOSES_2022_Elbe-NorthSea_KON1; MOSES_2022_Elbe-NorthSea_L1; MOSES_2022_Elbe-NorthSea_UT1; Name; Nitrate; Nitrite; Nitrogen, organic, total; Nitrogen, total dissolved; Nitrogen oxide; North Sea; nutrients; P-1; P-10; P-11; P-12; P-13; P-14; P-15; P-16; P-17; P-18; P-19; P-2; P-20; P-21; P-22; P-23; P-24; P-25; P-26; P-27; P-3; P-4; P-5; P-6; P-7; P-8; P-9; Phosphate; POC; Principal investigator; Silicate; Station label; TA alkalinity; Tide Elbe; U1; U10; U11; U12; U13; U14; U15; U16; U17; U18; U19; U2; U20; U21; U22; U23; U24; U25; U26; U27; U28; U29; U3; U4; U5; U6; U7; U8; U9; UT2022_stern_9_U-1; UT2022_stern_9_U-10; UT2022_stern_9_U-11; UT2022_stern_9_U-12; UT2022_stern_9_U-13; UT2022_stern_9_U-14; UT2022_stern_9_U-15; UT2022_stern_9_U-16; UT2022_stern_9_U-17; UT2022_stern_9_U-18; UT2022_stern_9_U-19; UT2022_stern_9_U-2; UT2022_stern_9_U-20; UT2022_stern_9_U-21; UT2022_stern_9_U-22; UT2022_stern_9_U-23; UT2022_stern_9_U-24; UT2022_stern_9_U-25; UT2022_stern_9_U-26; UT2022_stern_9_U-27; UT2022_stern_9_U-28; UT2022_stern_9_U-29; UT2022_stern_9_U-3; UT2022_stern_9_U-4; UT2022_stern_9_U-5; UT2022_stern_9_U-6; UT2022_stern_9_U-7; UT2022_stern_9_U-8; UT2022_stern_9_U-9; Uthörn; Water sample; Water samples; WS
    Type: Dataset
    Format: text/tab-separated-values, 1127 data points
    Location Call Number Expected Availability
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  • 42
    facet.materialart.
    Unknown
    Prokariotic abundances during a multi-stressor aquaria experiment with the cold-water coral Dendrophyllia cornigera (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: A 9-month aquarium experiment with the cold-water Dendrophyllia cornigera was conducted to investigate the single and combined effects of warming, acidification and deoxygenation on its ecophysiological response. The experiment took place at the Aquarium finisterrae (A Coruña, Spain) between 2022-05-06 and 2023-02-24. Treatment values for each parameter (current in situ vs. climate change) were: 12 °C and 15 °C (temperature); ~7.99 and 7.69 (pH); ~8.63 mg/L and 6.45 mg/L (dissolved oxygen concentration). A total of eight treatments (with 3 replicates each, 5 L aquaria) were set up. Prokaryotes were quantified by flow citometry (CytoFLEXflex S, Beckman Coulter) as previously described by Gasol et al. (1999) with our own adjustment of the scatter settings to more accurately resolve these cells with the new CytoFLEX flow cytometry technology. Measurements were performed every month from different parts of the aquaria setup: the input seawater, the reservoir tank (after the filtration of seawater to 5 µm and before the UV lamp) and every experimental aquaria.
    Keywords: Atlantic Ocean; Comment; DATE/TIME; Dendrophyllia_Bycatch; Experimental treatment; Experiment duration; Flow cytometer, Beckman Coulter, CytoFLEX S (N-V-B-R); flow cytometry; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Laboratory experiment; NE Atlantic; NW Spain; Prokaryotes; prokaryotic abundance; Replicate; Species; Species, unique identification (Semantic URI); Species, unique identification (URI); Type of study
    Type: Dataset
    Format: text/tab-separated-values, 1260 data points
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  • 43
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    Water physico-chemical variables during a long-term multi-stressor aquarium experiment with the cold-water coral Dendrophyllia cornigera (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: A 9-month aquarium experiment with the cold-water Dendrophyllia cornigera was conducted to investigate the single and combined effects of warming, acidification and deoxygenation on its ecophysiological response. The experiment took place at the Aquarium finisterrae (A Coruña, Spain), from the 6th of May 2022 to the 24th of February 2023. Treatment values for each parameter (current in situ vs. climate change) were: 12 °C and 15 °C (temperature); ~7.99 and 7.69 (pH); ~8.63 mg/L and 6.45 mg/L (dissolved oxygen concentration). A total of eight treatments (with 3 replicates each, 5 L aquaria) were set up. This dataset contains the registered values for temperature, pH, DO (% air saturation and mg/L) and sainity from the experimental aquarium over the course of the experiment. Temperature and DO were daily measured with a YSI ProODO dissolved oxygen instrument. Salinity was weekly assessed with a WTW 350i multiparameter device equipped with a ConOx probe. Measurements for pH were performed every 1 – 2 months. Samples for pH were directly collected on cylindrical 10 cm cuvettes and analysed on daily basis. After being thermostated at 25ºC, samples were measured using a manual spectrophotometrical procedure with a Sigma Aldrich impure indicator (Clayton and Byrne, 1993). The uncertainty of pH is about 0.005 pH units.
    Keywords: Atlantic Ocean; DATE/TIME; Dendrophyllia_Bycatch; Experimental treatment; Experiment duration; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Laboratory experiment; NE Atlantic; NW Spain; Oxygen, dissolved; Oxygen saturation; Oxygen sensor, YSI ProODO; pH; Replicate; Salinity; Species; Species, unique identification (Semantic URI); Species, unique identification (URI); Spectrophotometric; Treatment: temperature; Type of study; WTW Multi Set 350i multiparameter probe
    Type: Dataset
    Format: text/tab-separated-values, 51526 data points
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  • 44
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    Skeletal growth rates of the cold-water coral Dendrophyllia cornigera from a long-term multi-stressor experiment (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: A 9-month aquarium experiment with the cold-water Dendrophyllia cornigera was conducted to investigate the single and combined effects of warming, acidification and deoxygenation on its ecophysiological response. The experiment took place at the Aquarium finisterrae (A Coruña, Spain) between 2022-05-06 and 2023-02-24. Treatment values for each parameter (current in situ vs. climate change) were: 12 °C and 15 °C (temperature); ~7.99 and 7.69 (pH); ~8.63 mg/L and 6.45 mg/L (dissolved oxygen concentration). A total of eight treatments (with 3 replicates each, 5 L aquaria) were set up. Dry mass of the coral nubbins (3 per experimental aquarium) was assessed by means of the buoyant weight technique (Jokiel et al. 1978, Davies, 1989), using an analytical balance (OHAUS AX124, precision 0.1 mg). The dry mass was calculated considering the nubbin net weight in water, the water density and the skeletal density of D. cornigera (2.63 g/cm3; Movilla et al. 2014). Measurements were performed just once the acclimation time finished and after 2 , 4, 6 and 9 months under the experimental conditions. Skeletal growth rates were calculated as the slope of the linear regression between the logarithmically transformed dry mass and the experimental time (%/day) (Orejas et al. 2011).
    Keywords: Buoyant weighing technique according to Davies (1989); Dendrophyllia_cornigera_Coral_Bycatch_A_Coruna; Dendrophyllia cornigera; Dendrophyllia cornigera, skeletal growth rate; Experimental treatment; growth; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Laboratory experiment; Multiple stressors; NE Atlantic; North Atlantic Ocean; NW Spain; Replicate; Species; Species, unique identification (Semantic URI); Species, unique identification (URI); Specimen identification; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 576 data points
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  • 45
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    Respiration rates of the cold-water coral Dendrophyllia cornigera from a long-term multi-stressor experiment (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: A 9-month aquarium experiment with the cold-water Dendrophyllia cornigera was conducted to investigate the single and combined effects of warming, acidification and deoxygenation on its ecophysiological response. The experiment took place at the Aquarium finisterrae (A Coruña, Spain) between 2022-05-06 and 2023-02-24. Treatment values for each parameter (current in situ vs. climate change) were: 12 °C and 15 °C (temperature); ~7.99 and 7.69 (pH); ~8.63 mg/L and 6.45 mg/L (dissolved oxygen concentration). A total of eight treatments (with 3 replicates each, 5 L aquaria) were set up. Respiration rates from each nubbin (3 per aquarium) were assessed after 6 and 9 months under the experimental conditions by means of closed-cell incubations. Oxygen consumption was calculated by measuring the dissolved oxygen concentration of the seawater inside the chamber using an optical oxygen sensor (YSI ProODO) at the beginning and at the end of the incubation time (24 h incubation). Dry mass (g) of the coral nubbins was assessed by means of the buoyant weight technique (Jokiel et al. 1978, Davies, 1989), using an analytical balance (OHAUS AX124, precision 0.1 mg). Tissue surface area (cm2) was assessed on virtual 3D models of each nubbin at the time when the measurements were conducted. Respiration rates were normalised by dry mass and by tissue surface area.
    Keywords: Dendrophyllia_cornigera_Coral_Bycatch_A_Coruna; Dendrophyllia cornigera; Dendrophyllia cornigera, dry mass; Dendrophyllia cornigera, respiration rate, oxygen; Dendrophyllia cornigera, respiration rate, oxygen, per dry mass; Dendrophyllia cornigera, surface area; Experimental treatment; Experiment duration; High precision balance, OHAUS, AX124; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Laboratory experiment; Multiple stressors; NE Atlantic; North Atlantic Ocean; NW Spain; Oxygen sensor, YSI ProODO; Photogrammetry from 3D reconstruction; Replicate; Respiration; Species; Species, unique identification (Semantic URI); Species, unique identification (URI); Specimen identification; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 1722 data points
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  • 46
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    Shipboard ADCP current measurements (38 kHz) during RV METEOR cruise M194 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: Current velocities of the upper water column along the cruise track of R/V Meteor cruise M194 were collected by a vessel-mounted 38 kHz RDI Ocean Surveyor ADCP. The ADCP transducer was located at 5.0 m below the water line. The instrument was operated in narrowband mode (WM10) with a bin size of 16.00 m, a blanking distance of 8.00 m, and a total of 80 bins, covering the depth range between 29.0 m and 1293.0 m. Heading, pitch and roll data from the ship's motion reference unit and the navigation data from the Global Positioning systems were used by the data acquisition software VmDAS internally to convert ADCP velocities into earth coordinates. Single-ping data were screened for bottom signals and, where appropriate, a bottom mask was manually processed. The ship's velocity was calculated from position fixes obtained by the Global Positioning System (GPS). Accuracy of the ADCP velocities mainly depends on the quality of the position fixes and the ship's heading data. Further errors stem from a misalignment of the transducer with the ship's centerline. Data post-processing included water track calibration of the misalignment angle (-44.8863° +/- 0.4659°) and scale factor (1.0033 +/- 0.0079) of the Ocean Surveyor signal. The velocity data were averaged in time using an average interval of 60 s. Velocity quality flagging is based on different threshold criteria: Depth cells with ensemble-averaged percent-good values below 25% are marked as 'bad data'. Depth cells with velocities above 1.5 m/s are flagged as 'bad data'. Depth cells with a root-mean-square deviation between the measured ensemble-average velocity and a cell-wise running-mean velocity above 0.3 m/s are flagged as 'probably bad data'.
    Keywords: Current velocity, east-west; Current velocity, north-south; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Echo intensity, relative; HEXPLORES; LATITUDE; LONGITUDE; M194; M194_0_Underway-1; Meteor (1986); Pings, averaged to a double ensemble value; Quality flag, current velocity; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); Vessel mounted Acoustic Doppler Current Profiler [38 kHz]; VMADCP-38
    Type: Dataset
    Format: text/tab-separated-values, 3105615 data points
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  • 47
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    Basic measurements of radiation at station Lindenberg (2018-03) (2020)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM22, SN 020073, WRMC No. 12014; Pyranometer, Kipp & Zonen, CM22, SN 020074, WRMC No. 12013; Pyrgeometer, Eppley, PIR, SN 32802F3, WRMC No. 12011; Pyrheliometer, Kipp & Zonen, CH1, SN 030340, WRMC No. 12016; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 846480 data points
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  • 48
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    Glacier surface velocities per day of Gepatschferner and Taschachferner, 2019 (2021)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: Glacier surface velocities are measured on four neighbouring glaciers in the Ötztal Alps (Austria). Measurements of the annual horizontal flow velocity (Δs/a [m/a]) on Hintereisferner (HEF) were started in 1885 at stone lines (cross-profiles). Annual values for the stone lines are given as mean values from the stones at the cross-profiles. On Kesselwandferner, the annual horizontal (Δs/a [m/a]) and vertical velocities (Δv/a [m/a], positive upwards and negative downwards) are measured at ablation and accumulation stakes since 1965. On Taschachferner (TSF) and Gepatschferner (GPF), the records of annual and subseasonal horizontal flow velocities at ablation stakes were started in 2009. This data series is a continuation of: doi:10.1594/PANGAEA.896741
    Keywords: DATE/TIME; Gepatschferner; GLAC; Glacial flow velocity, horizontal, annual; Sampling/measurements on glacier; Tirol, Austria
    Type: Dataset
    Format: text/tab-separated-values, 4 data points
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  • 49
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    Basic measurements of radiation at station Lindenberg (2019-06) (2022)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen,, CM21, SN 010825, WRMC No. 12020; Pyranometer, Kipp & Zonen, CM21, SN 010824, WRMC No. 12009; Pyrgeometer, Kipp & Zonen, CGR4, SN 060028, WRMC No. 12019; Pyrheliometer, Kipp & Zonen, CH1, SN 030340, WRMC No. 12016; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 818408 data points
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  • 50
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    Basic measurements of radiation at station Lindenberg (2019-09) (2022)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen,, CM21, SN 010825, WRMC No. 12020; Pyranometer, Kipp & Zonen, CM21, SN 010824, WRMC No. 12009; Pyrgeometer, Kipp & Zonen, CGR4, SN 060028, WRMC No. 12019; Pyrheliometer, Kipp & Zonen, CH1, SN 990220, WRMC No. 12012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 819876 data points
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  • 51
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    Basic measurements of radiation at station Lindenberg (2019-10) (2022)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen,, CM21, SN 010825, WRMC No. 12020; Pyranometer, Kipp & Zonen, CM21, SN 010824, WRMC No. 12009; Pyrgeometer, Kipp & Zonen, CGR4, SN 060028, WRMC No. 12019; Pyrheliometer, Kipp & Zonen, CH1, SN 990220, WRMC No. 12012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 847460 data points
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  • 52
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    Basic measurements of radiation at station Lindenberg (2019-11) (2022)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen,, CM21, SN 010825, WRMC No. 12020; Pyranometer, Kipp & Zonen, CM21, SN 010824, WRMC No. 12009; Pyrgeometer, Kipp & Zonen, CGR4, SN 060028, WRMC No. 12019; Pyrheliometer, Kipp & Zonen, CH1, SN 990220, WRMC No. 12012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 819400 data points
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  • 53
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    Basic measurements of radiation at station Lindenberg (2019-12) (2022)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen,, CM21, SN 010825, WRMC No. 12020; Pyranometer, Kipp & Zonen, CM21, SN 010824, WRMC No. 12009; Pyrgeometer, Kipp & Zonen, CGR4, SN 060028, WRMC No. 12019; Pyrheliometer, Kipp & Zonen, CH1, SN 990220, WRMC No. 12012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 846528 data points
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  • 54
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    Basic measurements of radiation at station Lindenberg (2020-02) (2022)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 010824, WRMC No. 12009; Pyranometer, Kipp & Zonen, CM22, SN 020073, WRMC No. 12014; Pyrgeometer, Kipp & Zonen, CGR4, SN 060028, WRMC No. 12019; Pyrheliometer, Kipp & Zonen, CH1, SN 990220, WRMC No. 12012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 792544 data points
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  • 55
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    Basic measurements of radiation at station Lindenberg (2020-03) (2022)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 010824, WRMC No. 12009; Pyranometer, Kipp & Zonen, CM22, SN 020073, WRMC No. 12014; Pyrgeometer, Kipp & Zonen, CGR4, SN 110378, WRMC No. 12023; Pyrheliometer, Kipp & Zonen, CH1, SN 990220, WRMC No. 12012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 846972 data points
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  • 56
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    Basic measurements of radiation at station Lindenberg (2022-01) (2023)
    PANGAEA
    In:  Meteorologisches Observatorium Lindenberg - Richard-Aßmann-Observatorium
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP22, SN 170558, WRMC No. 12028; Pyranometer, Kipp & Zonen, CMP22, SN 180606, WRMC No. 12025; Pyrgeometer, Kipp & Zonen, CGR4, SN 170262, WRMC No. 12026; Pyrheliometer, Kipp & Zonen, CH1, SN 990220, WRMC No. 12012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 847071 data points
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  • 57
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    Basic measurements of radiation at station Lindenberg (2022-03) (2023)
    PANGAEA
    In:  Meteorologisches Observatorium Lindenberg - Richard-Aßmann-Observatorium
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP22, SN 170558, WRMC No. 12028; Pyranometer, Kipp & Zonen, CMP22, SN 180606, WRMC No. 12025; Pyrgeometer, Kipp & Zonen, CGR4, SN 170262, WRMC No. 12026; Pyrheliometer, Kipp & Zonen, CH1, SN 990220, WRMC No. 12012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 847448 data points
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  • 58
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    Flow velocity records at rock glacier Outer Hochebenkar (Äußeres Hochebenkar), 2022 (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: Surface velocities have been regularly monitored at the rock glacier in Outer Hochebenkar, Ötztal Alps, Austria since the early 1950s. This data collection provides annual coordinates of the stones at each cross profile since 1997, when the time series was restarted at the initial profile positions as well as in 2021. Additional coordinates are provided from stones at the longitudinal profile along the centre flow line since 2011. These data-series is a continuation of Hartl et al. (2016). Coordinate System: MGI Austria GK West (EPSG: 31254).
    Keywords: Comment; DATE/TIME; Easting, local; ELEVATION; Event label; HEK_P0_S1; HEK_P0_S1_2021; HEK_P0_S2; HEK_P0_S2_2021; HEK_P0_S3; HEK_P0_S3_2021; HEK_P0_S4; HEK_P0_S4_2021; HEK_P0_S5; HEK_P0_S5_2021; HEK_P0_S6; HEK_P0_S6_2021; HEK_P1_S1; HEK_P1_S1_2021; HEK_P1_S10; HEK_P1_S10_2021; HEK_P1_S2; HEK_P1_S2_2021; HEK_P1_S3; HEK_P1_S3_2021; HEK_P1_S4; HEK_P1_S4_2021; HEK_P1_S5; HEK_P1_S5_2021; HEK_P1_S6; HEK_P1_S6_2021; HEK_P1_S7; HEK_P1_S7_2021; HEK_P1_S8; HEK_P1_S8_2021; HEK_P1_S9; HEK_P1_S9_2021; HEK_P2_S1; HEK_P2_S1_2021; HEK_P2_S10; HEK_P2_S10_2021; HEK_P2_S11; HEK_P2_S11_2021; HEK_P2_S12; HEK_P2_S12_2021; HEK_P2_S2; HEK_P2_S2_2021; HEK_P2_S3; HEK_P2_S3_2021; HEK_P2_S4; HEK_P2_S4_2021; HEK_P2_S5; HEK_P2_S5_2021; HEK_P2_S6; HEK_P2_S6_2021; HEK_P2_S7; HEK_P2_S7_2021; HEK_P2_S8; HEK_P2_S8_2021; HEK_P2_S9; HEK_P2_S9_2021; HEK_P3_S1; HEK_P3_S1_2021; HEK_P3_S10; HEK_P3_S10_2021; HEK_P3_S11; HEK_P3_S11_2021; HEK_P3_S12; HEK_P3_S12_2021; HEK_P3_S2; HEK_P3_S2_2021; HEK_P3_S3; HEK_P3_S3_2021; HEK_P3_S4; HEK_P3_S4_2021; HEK_P3_S5; HEK_P3_S5_2021; HEK_P3_S6; HEK_P3_S6_2021; HEK_P3_S7; HEK_P3_S7_2021; HEK_P3_S8; HEK_P3_S8_2021; HEK_P3_S9; HEK_P3_S9_2021; Identification; MULT; Multiple investigations; Northing, local; Ötztal, Tyrolian Alps, Austria; Outer Hochebenkar Profile 0 Stone 1; Outer Hochebenkar Profile 0 Stone 2; Outer Hochebenkar Profile 0 Stone 3; Outer Hochebenkar Profile 0 Stone 4; Outer Hochebenkar Profile 0 Stone 5; Outer Hochebenkar Profile 0 Stone 6; Outer Hochebenkar Profile 1 Stone 1; Outer Hochebenkar Profile 1 Stone 10; Outer Hochebenkar Profile 1 Stone 2; Outer Hochebenkar Profile 1 Stone 3; Outer Hochebenkar Profile 1 Stone 4; Outer Hochebenkar Profile 1 Stone 5; Outer Hochebenkar Profile 1 Stone 6; Outer Hochebenkar Profile 1 Stone 7; Outer Hochebenkar Profile 1 Stone 8; Outer Hochebenkar Profile 1 Stone 9; Outer Hochebenkar Profile 2 Stone 1; Outer Hochebenkar Profile 2 Stone 10; Outer Hochebenkar Profile 2 Stone 11; Outer Hochebenkar Profile 2 Stone 12; Outer Hochebenkar Profile 2 Stone 2; Outer Hochebenkar Profile 2 Stone 3; Outer Hochebenkar Profile 2 Stone 4; Outer Hochebenkar Profile 2 Stone 5; Outer Hochebenkar Profile 2 Stone 6; Outer Hochebenkar Profile 2 Stone 7; Outer Hochebenkar Profile 2 Stone 8; Outer Hochebenkar Profile 2 Stone 9; Outer Hochebenkar Profile 3 Stone 1; Outer Hochebenkar Profile 3 Stone 10; Outer Hochebenkar Profile 3 Stone 11; Outer Hochebenkar Profile 3 Stone 12; Outer Hochebenkar Profile 3 Stone 2; Outer Hochebenkar Profile 3 Stone 3; Outer Hochebenkar Profile 3 Stone 4; Outer Hochebenkar Profile 3 Stone 5; Outer Hochebenkar Profile 3 Stone 6; Outer Hochebenkar Profile 3 Stone 7; Outer Hochebenkar Profile 3 Stone 8; Outer Hochebenkar Profile 3 Stone 9; Profile ID
    Type: Dataset
    Format: text/tab-separated-values, 306 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 59
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    Basic measurements of radiation at station Lindenberg (2022-04) (2024)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP22, SN 130495, WRMC No. 12024; Pyranometer, Kipp & Zonen, CMP22, SN 170558, WRMC No. 12028; Pyrgeometer, Kipp & Zonen, CGR4, SN 170262, WRMC No. 12026; Pyrheliometer, Kipp & Zonen, CH1, SN 990220, WRMC No. 12012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 819872 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 60
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    Unknown
    Surface Drifter Data on the Elbe estuary: Positions of Lagrangian Hereon Drifter D-318 deployed in German Bight during MOSES 2023 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: The MOSES Elbe 2023 experiment aims at following a water mass from the spring of the Elbe River in the Czech Republic, through the freshwater and tidal sections of the river, into the North Sea, where three ships (Mya II, Littorina, and Ludwig Prandtl) were used covering the marine environment in the German Bight (Sternfahrt 10). In order to follow the water mass from the Elbe estuary numerical simulations were performed to determine the likelihood of a variety of starting points for a drifter release experiment. At the first morning of the cruise model forecasts were used to determine the exact locations where drifters were to be released. The drifters were initially released in groups of three drifters and then supplemented at a later point of time. During the following two and a half weeks, the current drifter positions were revisited from the ships involved to take water samples.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Helmholtz_ChangingEarth; HYDREX-Stern10_D-318; Identification; LATITUDE; LONGITUDE; Ludwig Prandtl; Modular Observation Solutions for Earth Systems; MOSES; MOSES_2023_Elbe-NorthSea; MOSES_2023_Elbe-NorthSea_KON1
    Type: Dataset
    Format: text/tab-separated-values, 7381 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 61
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    Unknown
    Surface Drifter Data on the Elbe estuary: Positions of Lagrangian Hereon Drifter D-324 deployed in German Bight during MOSES 2023 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: The MOSES Elbe 2023 experiment aims at following a water mass from the spring of the Elbe River in the Czech Republic, through the freshwater and tidal sections of the river, into the North Sea, where three ships (Mya II, Littorina, and Ludwig Prandtl) were used covering the marine environment in the German Bight (Sternfahrt 10). In order to follow the water mass from the Elbe estuary numerical simulations were performed to determine the likelihood of a variety of starting points for a drifter release experiment. At the first morning of the cruise model forecasts were used to determine the exact locations where drifters were to be released. The drifters were initially released in groups of three drifters and then supplemented at a later point of time. During the following two and a half weeks, the current drifter positions were revisited from the ships involved to take water samples.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Helmholtz_ChangingEarth; HYDREX-Stern10_D-324; Identification; LATITUDE; LONGITUDE; Ludwig Prandtl; Modular Observation Solutions for Earth Systems; MOSES; MOSES_2023_Elbe-NorthSea; MOSES_2023_Elbe-NorthSea_KON1
    Type: Dataset
    Format: text/tab-separated-values, 6904 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 62
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    Unknown
    Surface Drifter Data on the Elbe estuary: Positions of Lagrangian Hereon Drifter D-309 deployed in German Bight during MOSES 2023 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: The MOSES Elbe 2023 experiment aims at following a water mass from the spring of the Elbe River in the Czech Republic, through the freshwater and tidal sections of the river, into the North Sea, where three ships (Mya II, Littorina, and Ludwig Prandtl) were used covering the marine environment in the German Bight (Sternfahrt 10). In order to follow the water mass from the Elbe estuary numerical simulations were performed to determine the likelihood of a variety of starting points for a drifter release experiment. At the first morning of the cruise model forecasts were used to determine the exact locations where drifters were to be released. The drifters were initially released in groups of three drifters and then supplemented at a later point of time. During the following two and a half weeks, the current drifter positions were revisited from the ships involved to take water samples.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Helmholtz_ChangingEarth; HYDREX-Stern10_D-309; Identification; LATITUDE; LONGITUDE; Ludwig Prandtl; Modular Observation Solutions for Earth Systems; MOSES; MOSES_2023_Elbe-NorthSea; MOSES_2023_Elbe-NorthSea_KON1
    Type: Dataset
    Format: text/tab-separated-values, 2408 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 63
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    Unknown
    Sedimentation rate of sediment cores Figino19-2 from lake Lugano, Switzerland (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Keywords: Age; AGE; Age model; Calculated; Denitrification; Depth, corrected; DEPTH, sediment/rock; diatom-bound nitrogen isotopes; eutrophication; Figino19-2; GC; Gravity corer; lacustrine sediments; Lake Lugano, Figino, Switzerland; Linear interpolation between tie points; N2 fixation; nitrogen cycle; Paleolimnology; Sample comment; Sedimentation rate per year
    Type: Dataset
    Format: text/tab-separated-values, 211 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 64
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    Unknown
    Diatom-bound nitrogen isotope analyses of sediment cores Figino19-2 from lake Lugano, Switzerland (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Keywords: Accumulation rate, total organic carbon per year; Age; AGE; Age model; Calculated; Carbon, inorganic, total; Carbon, organic, total; Carbon, organic, total/Nitrogen, total ratio; Denitrification; Density, dry bulk; Depth, corrected; DEPTH, sediment/rock; diatom-bound nitrogen isotopes; Elemental Analysis - Isotope Ratio Mass Spectrometry (EA-IRMS), Thermo Fisher Scientific, EA IsoLink CN - ConFlo IV - Delta V Plus; eutrophication; Figino19-2; GC; Gravity corer; lacustrine sediments; Lake Lugano, Figino, Switzerland; Linear interpolation between tie points; N2 fixation; Nitrogen, total; nitrogen cycle; Paleolimnology; Persulfate-denitrifier method according to Knapp et al. (2005); Sample comment; δ13C, total organic carbon; δ15N; δ15N, bulk sediment; δ15N, diatom-bound organic matter; δ15N, diatom-bound organic matter, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 766 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 65
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    Glacier surface velocities of Kesselwandferner, 2020/2021 (2022)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: Glacier surface velocities are measured on four neighbouring glaciers in the Ötztal Alps (Austria). Measurements of the annual horizontal flow velocity (Δs/a [m/a]) on Hintereisferner (HEF) were started in 1885 at stone lines (cross-profiles). Annual values for the stone lines are given as mean values from the stones at the cross-profiles. On Kesselwandferner, the annual horizontal (Δs/a [m/a]) and vertical velocities (Δv/a [m/a], positive upwards and negative downwards) are measured at ablation and accumulation stakes since 1965. On Taschachferner (TSF) and Gepatschferner (GPF), the records of annual and subseasonal horizontal flow velocities at ablation stakes were started in 2009. This data series is a continuation of: doi:10.1594/PANGAEA.896741
    Keywords: DATE/TIME; GLAC; Glacial flow, horizontal; Glacial flow, vertical; Glacial flow velocity, horizontal, annual; Kesselwandferner; Kesselwandferner, Ötztaler Alpen, Austria; KWF; LATITUDE; Line; LONGITUDE; Sampling/measurements on glacier; UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator; Years
    Type: Dataset
    Format: text/tab-separated-values, 64 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 66
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    Basic measurements of radiation at station Lindenberg (2020-01) (2022)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 010824, WRMC No. 12009; Pyranometer, Kipp & Zonen, CM22, SN 020073, WRMC No. 12014; Pyrgeometer, Kipp & Zonen, CGR4, SN 060028, WRMC No. 12019; Pyrheliometer, Kipp & Zonen, CH1, SN 990220, WRMC No. 12012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 846444 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 67
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    Unknown
    Basic measurements of radiation at station Lindenberg (2018-01) (2020)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM22, SN 020073, WRMC No. 12014; Pyranometer, Kipp & Zonen, CM22, SN 020074, WRMC No. 12013; Pyrgeometer, Eppley, PIR, SN 32802F3, WRMC No. 12011; Pyrheliometer, Kipp & Zonen, CH1, SN 030340, WRMC No. 12016; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 825050 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 68
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    Basic measurements of radiation at station Lindenberg (2018-06) (2020)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM22, SN 020073, WRMC No. 12014; Pyranometer, Kipp & Zonen, CM22, SN 020074, WRMC No. 12013; Pyrgeometer, Eppley, PIR, SN 32802F3, WRMC No. 12011; Pyrheliometer, Kipp & Zonen, CH1, SN 030340, WRMC No. 12016; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 818962 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 69
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    Flow velocity records at rock glacier Outer Hochebenkar (Äußeres Hochebenkar), 2017 (2021)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: Surface velocities have been regularly monitored at the rock glacier in Outer Hochebenkar, Ötztal Alps, Austria since the early 1950s. This data collection provides surface velocity time series, showing mean profile velocities of four cross profiles since the beginning of the measurements. These data-series start in 2016 and is a continuation of Hartl et al. (2016), doi:10.1594/PANGAEA.861405.
    Keywords: Comment; DATE/TIME; Easting, local; ELEVATION; Event label; HEK_P0_S1; HEK_P0_S2; HEK_P0_S3; HEK_P0_S4; HEK_P0_S5; HEK_P0_S6; HEK_P1_S1; HEK_P1_S10; HEK_P1_S2; HEK_P1_S3; HEK_P1_S4; HEK_P1_S5; HEK_P1_S6; HEK_P1_S7; HEK_P1_S8; HEK_P1_S9; HEK_P2_S1; HEK_P2_S10; HEK_P2_S11; HEK_P2_S12; HEK_P2_S2; HEK_P2_S3; HEK_P2_S4; HEK_P2_S5; HEK_P2_S6; HEK_P2_S7; HEK_P2_S8; HEK_P2_S9; HEK_P3_S1; HEK_P3_S10; HEK_P3_S11; HEK_P3_S12; HEK_P3_S2; HEK_P3_S3; HEK_P3_S4; HEK_P3_S5; HEK_P3_S6; HEK_P3_S7; HEK_P3_S8; HEK_P3_S9; Identification; MULT; Multiple investigations; Northing, local; Ötztal, Tyrolian Alps, Austria; Outer Hochebenkar Profile 0 Stone 1; Outer Hochebenkar Profile 0 Stone 2; Outer Hochebenkar Profile 0 Stone 3; Outer Hochebenkar Profile 0 Stone 4; Outer Hochebenkar Profile 0 Stone 5; Outer Hochebenkar Profile 0 Stone 6; Outer Hochebenkar Profile 1 Stone 1; Outer Hochebenkar Profile 1 Stone 10; Outer Hochebenkar Profile 1 Stone 2; Outer Hochebenkar Profile 1 Stone 3; Outer Hochebenkar Profile 1 Stone 4; Outer Hochebenkar Profile 1 Stone 5; Outer Hochebenkar Profile 1 Stone 6; Outer Hochebenkar Profile 1 Stone 7; Outer Hochebenkar Profile 1 Stone 8; Outer Hochebenkar Profile 1 Stone 9; Outer Hochebenkar Profile 2 Stone 1; Outer Hochebenkar Profile 2 Stone 10; Outer Hochebenkar Profile 2 Stone 11; Outer Hochebenkar Profile 2 Stone 12; Outer Hochebenkar Profile 2 Stone 2; Outer Hochebenkar Profile 2 Stone 3; Outer Hochebenkar Profile 2 Stone 4; Outer Hochebenkar Profile 2 Stone 5; Outer Hochebenkar Profile 2 Stone 6; Outer Hochebenkar Profile 2 Stone 7; Outer Hochebenkar Profile 2 Stone 8; Outer Hochebenkar Profile 2 Stone 9; Outer Hochebenkar Profile 3 Stone 1; Outer Hochebenkar Profile 3 Stone 10; Outer Hochebenkar Profile 3 Stone 11; Outer Hochebenkar Profile 3 Stone 12; Outer Hochebenkar Profile 3 Stone 2; Outer Hochebenkar Profile 3 Stone 3; Outer Hochebenkar Profile 3 Stone 4; Outer Hochebenkar Profile 3 Stone 5; Outer Hochebenkar Profile 3 Stone 6; Outer Hochebenkar Profile 3 Stone 7; Outer Hochebenkar Profile 3 Stone 8; Outer Hochebenkar Profile 3 Stone 9; Profile ID
    Type: Dataset
    Format: text/tab-separated-values, 159 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 70
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    Flow velocity records at rock glacier Outer Hochebenkar (Äußeres Hochebenkar), 2018 (2021)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: Surface velocities have been regularly monitored at the rock glacier in Outer Hochebenkar, Ötztal Alps, Austria since the early 1950s. This data collection provides surface velocity time series, showing mean profile velocities of four cross profiles since the beginning of the measurements. These data-series start in 2016 and is a continuation of Hartl et al. (2016), doi:10.1594/PANGAEA.861405.
    Keywords: DATE/TIME; Easting, local; ELEVATION; Event label; HEK_P0_S1; HEK_P0_S2; HEK_P0_S3; HEK_P0_S4; HEK_P0_S5; HEK_P0_S6; HEK_P1_S1; HEK_P1_S2; HEK_P1_S3; HEK_P1_S4; HEK_P1_S5; HEK_P1_S6; HEK_P1_S7; HEK_P1_S8; HEK_P1_S9; HEK_P2_S1; HEK_P2_S10; HEK_P2_S11; HEK_P2_S12; HEK_P2_S2; HEK_P2_S3; HEK_P2_S4; HEK_P2_S5; HEK_P2_S6; HEK_P2_S7; HEK_P2_S8; HEK_P2_S9; HEK_P3_S1; HEK_P3_S10; HEK_P3_S11; HEK_P3_S12; HEK_P3_S2; HEK_P3_S3; HEK_P3_S4; HEK_P3_S5; HEK_P3_S6; HEK_P3_S7; HEK_P3_S8; HEK_P3_S9; Identification; MULT; Multiple investigations; Northing, local; Ötztal, Tyrolian Alps, Austria; Outer Hochebenkar Profile 0 Stone 1; Outer Hochebenkar Profile 0 Stone 2; Outer Hochebenkar Profile 0 Stone 3; Outer Hochebenkar Profile 0 Stone 4; Outer Hochebenkar Profile 0 Stone 5; Outer Hochebenkar Profile 0 Stone 6; Outer Hochebenkar Profile 1 Stone 1; Outer Hochebenkar Profile 1 Stone 2; Outer Hochebenkar Profile 1 Stone 3; Outer Hochebenkar Profile 1 Stone 4; Outer Hochebenkar Profile 1 Stone 5; Outer Hochebenkar Profile 1 Stone 6; Outer Hochebenkar Profile 1 Stone 7; Outer Hochebenkar Profile 1 Stone 8; Outer Hochebenkar Profile 1 Stone 9; Outer Hochebenkar Profile 2 Stone 1; Outer Hochebenkar Profile 2 Stone 10; Outer Hochebenkar Profile 2 Stone 11; Outer Hochebenkar Profile 2 Stone 12; Outer Hochebenkar Profile 2 Stone 2; Outer Hochebenkar Profile 2 Stone 3; Outer Hochebenkar Profile 2 Stone 4; Outer Hochebenkar Profile 2 Stone 5; Outer Hochebenkar Profile 2 Stone 6; Outer Hochebenkar Profile 2 Stone 7; Outer Hochebenkar Profile 2 Stone 8; Outer Hochebenkar Profile 2 Stone 9; Outer Hochebenkar Profile 3 Stone 1; Outer Hochebenkar Profile 3 Stone 10; Outer Hochebenkar Profile 3 Stone 11; Outer Hochebenkar Profile 3 Stone 12; Outer Hochebenkar Profile 3 Stone 2; Outer Hochebenkar Profile 3 Stone 3; Outer Hochebenkar Profile 3 Stone 4; Outer Hochebenkar Profile 3 Stone 5; Outer Hochebenkar Profile 3 Stone 6; Outer Hochebenkar Profile 3 Stone 7; Outer Hochebenkar Profile 3 Stone 8; Outer Hochebenkar Profile 3 Stone 9; Profile ID
    Type: Dataset
    Format: text/tab-separated-values, 156 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 71
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    Glacier surface velocities of Hintereisferner, 2017/2018 (2021)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: Glacier surface velocities are measured on four neighbouring glaciers in the Ötztal Alps (Austria). Measurements of the annual horizontal flow velocity (Δs/a [m/a]) on Hintereisferner (HEF) were started in 1885 at stone lines (cross-profiles). Annual values for the stone lines are given as mean values from the stones at the cross-profiles. On Kesselwandferner, the annual horizontal (Δs/a [m/a]) and vertical velocities (Δv/a [m/a], positive upwards and negative downwards) are measured at ablation and accumulation stakes since 1965. On Taschachferner (TSF) and Gepatschferner (GPF), the records of annual and subseasonal horizontal flow velocities at ablation stakes were started in 2009. This data series is a continuation of: doi:10.1594/PANGAEA.896741
    Keywords: DATE/TIME; Glacial flow velocity, horizontal, annual; HEF; Hintereisferner; Hintereisferner, Ötztaler Alpen, Austria; LATITUDE; Line; LONGITUDE; UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator; Years
    Type: Dataset
    Format: text/tab-separated-values, 14 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 72
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    Unknown
    Glacier surface velocities of Kesselwandferner, 2017/2018 (2021)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: Glacier surface velocities are measured on four neighbouring glaciers in the Ötztal Alps (Austria). Measurements of the annual horizontal flow velocity (Δs/a [m/a]) on Hintereisferner (HEF) were started in 1885 at stone lines (cross-profiles). Annual values for the stone lines are given as mean values from the stones at the cross-profiles. On Kesselwandferner, the annual horizontal (Δs/a [m/a]) and vertical velocities (Δv/a [m/a], positive upwards and negative downwards) are measured at ablation and accumulation stakes since 1965. On Taschachferner (TSF) and Gepatschferner (GPF), the records of annual and subseasonal horizontal flow velocities at ablation stakes were started in 2009. This data series is a continuation of: doi:10.1594/PANGAEA.896741
    Keywords: DATE/TIME; GLAC; Glacial flow, horizontal; Glacial flow, vertical; Glacial flow velocity, horizontal, annual; Glacial flow velocity, vertical, annual; Kesselwandferner; Kesselwandferner, Ötztaler Alpen, Austria; KWF; LATITUDE; Line; LONGITUDE; Sampling/measurements on glacier; UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator; Years
    Type: Dataset
    Format: text/tab-separated-values, 64 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 73
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    Unknown
    Basic measurements of radiation at station Lindenberg (2018-08) (2021)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 010824, WRMC No. 12009; Pyranometer, Kipp & Zonen, CM22, SN 020073, WRMC No. 12014; Pyrgeometer, Kipp & Zonen, CGR4, SN 060028, WRMC No. 12019; Pyrheliometer, Kipp & Zonen, CH1, SN 030340, WRMC No. 12016; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 846116 data points
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    DATA PANGAEA
  • 74
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    Unknown
    Basic measurements of radiation at station Lindenberg (2018-12) (2021)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 010824, WRMC No. 12009; Pyranometer, Kipp & Zonen, CM22, SN 020073, WRMC No. 12014; Pyrgeometer, Kipp & Zonen, CGR4, SN 060028, WRMC No. 12019; Pyrheliometer, Kipp & Zonen, CH1, SN 030340, WRMC No. 12016; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 845003 data points
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  • 75
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    Unknown
    Sphagnum traits of samples from the Lakkasuo mire complex (2021)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Keywords: bog; Capitulum, dry weight; Capitulum, water content; Capitulum density; Density, surface; Fascicle density; fen; functional plant traits; Growth rate; hydrological change; Lakkasuo_mire_complex; plant photosynthesis; Site; Southern Finland; Species; sphagnum; trait-based ecology; Treatment; water table
    Type: Dataset
    Format: text/tab-separated-values, 780 data points
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    DATA PANGAEA
  • 76
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    Unknown
    Basic measurements of radiation at station Lindenberg (2019-01) (2021)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen,, CM21, SN 010825, WRMC No. 12020; Pyranometer, Kipp & Zonen, CM21, SN 010824, WRMC No. 12009; Pyrgeometer, Kipp & Zonen, CGR4, SN 060028, WRMC No. 12019; Pyrheliometer, Kipp & Zonen, CH1, SN 990220, WRMC No. 12012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 846880 data points
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    DATA PANGAEA
  • 77
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    Basic measurements of radiation at station Lindenberg (2019-02) (2021)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen,, CM21, SN 010825, WRMC No. 12020; Pyranometer, Kipp & Zonen, CM21, SN 010824, WRMC No. 12009; Pyrgeometer, Kipp & Zonen, CGR4, SN 060028, WRMC No. 12019; Pyrheliometer, Kipp & Zonen, CH1, SN 990220, WRMC No. 12012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 764392 data points
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    DATA PANGAEA
  • 78
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    Basic measurements of radiation at station Lindenberg (2019-03) (2021)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen,, CM21, SN 010825, WRMC No. 12020; Pyranometer, Kipp & Zonen, CM21, SN 010824, WRMC No. 12009; Pyrgeometer, Kipp & Zonen, CGR4, SN 060028, WRMC No. 12019; Pyrheliometer, Kipp & Zonen, CH1, SN 990220, WRMC No. 12012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 847020 data points
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  • 79
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    Basic measurements of radiation at station Lindenberg (2019-04) (2021)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen,, CM21, SN 010825, WRMC No. 12020; Pyranometer, Kipp & Zonen, CM21, SN 010824, WRMC No. 12009; Pyrgeometer, Kipp & Zonen, CGR4, SN 060028, WRMC No. 12019; Pyrheliometer, Kipp & Zonen, CH1, SN 990220, WRMC No. 12012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 818662 data points
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  • 80
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    Glacier surface velocities of Gepatschferner and Taschachferner, 2020/2021 (2022)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: Glacier surface velocities are measured on four neighbouring glaciers in the Ötztal Alps (Austria). Measurements of the annual horizontal flow velocity (Δs/a [m/a]) on Hintereisferner (HEF) were started in 1885 at stone lines (cross-profiles). Annual values for the stone lines are given as mean values from the stones at the cross-profiles. On Kesselwandferner, the annual horizontal (Δs/a [m/a]) and vertical velocities (Δv/a [m/a], positive upwards and negative downwards) are measured at ablation and accumulation stakes since 1965. On Taschachferner (TSF) and Gepatschferner (GPF), the records of annual and subseasonal horizontal flow velocities at ablation stakes were started in 2009. This data series is a continuation of: doi:10.1594/PANGAEA.896741
    Keywords: Austria; DATE/TIME; Event label; Gepatschferner; GLAC; Glacial flow velocity, horizontal, annual; LATITUDE; LONGITUDE; Number; Sampling/measurements on glacier; Taschachferner_E; Tirol, Austria; UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator; Years
    Type: Dataset
    Format: text/tab-separated-values, 70 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 81
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    Basic measurements of radiation at station Lindenberg (2019-08) (2022)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen,, CM21, SN 010825, WRMC No. 12020; Pyranometer, Kipp & Zonen, CM21, SN 010824, WRMC No. 12009; Pyrgeometer, Kipp & Zonen, CGR4, SN 060028, WRMC No. 12019; Pyrheliometer, Kipp & Zonen, CH1, SN 030340, WRMC No. 12016; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 846488 data points
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  • 82
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    Basic measurements of radiation at station Lindenberg (2020-05) (2022)
    PANGAEA
    In:  Meteorologisches Observatorium Lindenberg - Richard-Aßmann-Observatorium
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 010824, WRMC No. 12009; Pyranometer, Kipp & Zonen, CMP22, SN 130495, WRMC No. 12024; Pyrgeometer, Kipp & Zonen, CGR4, SN 060028, WRMC No. 12019; Pyrheliometer, Kipp & Zonen, CH1, SN 990220, WRMC No. 12012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 845933 data points
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  • 83
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    Surface Drifter Data on the Elbe estuary: Positions of Lagrangian Hereon Drifter D-305 deployed in German Bight during MOSES 2023 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: The MOSES Elbe 2023 experiment aims at following a water mass from the spring of the Elbe River in the Czech Republic, through the freshwater and tidal sections of the river, into the North Sea, where three ships (Mya II, Littorina, and Ludwig Prandtl) were used covering the marine environment in the German Bight (Sternfahrt 10). In order to follow the water mass from the Elbe estuary numerical simulations were performed to determine the likelihood of a variety of starting points for a drifter release experiment. At the first morning of the cruise model forecasts were used to determine the exact locations where drifters were to be released. The drifters were initially released in groups of three drifters and then supplemented at a later point of time. During the following two and a half weeks, the current drifter positions were revisited from the ships involved to take water samples.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Helmholtz_ChangingEarth; HYDREX-Stern10_D-305; Identification; LATITUDE; LONGITUDE; Ludwig Prandtl; Modular Observation Solutions for Earth Systems; MOSES; MOSES_2023_Elbe-NorthSea; MOSES_2023_Elbe-NorthSea_KON1
    Type: Dataset
    Format: text/tab-separated-values, 6352 data points
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    DATA PANGAEA
  • 84
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    Surface Drifter Data on the Elbe estuary: Positions of Lagrangian Hereon Drifter D-316 deployed in German Bight during MOSES 2023 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: The MOSES Elbe 2023 experiment aims at following a water mass from the spring of the Elbe River in the Czech Republic, through the freshwater and tidal sections of the river, into the North Sea, where three ships (Mya II, Littorina, and Ludwig Prandtl) were used covering the marine environment in the German Bight (Sternfahrt 10). In order to follow the water mass from the Elbe estuary numerical simulations were performed to determine the likelihood of a variety of starting points for a drifter release experiment. At the first morning of the cruise model forecasts were used to determine the exact locations where drifters were to be released. The drifters were initially released in groups of three drifters and then supplemented at a later point of time. During the following two and a half weeks, the current drifter positions were revisited from the ships involved to take water samples.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Helmholtz_ChangingEarth; HYDREX-Stern10_D-316; Identification; LATITUDE; LONGITUDE; Ludwig Prandtl; Modular Observation Solutions for Earth Systems; MOSES; MOSES_2023_Elbe-NorthSea; MOSES_2023_Elbe-NorthSea_KON1
    Type: Dataset
    Format: text/tab-separated-values, 6228 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 85
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    Unknown
    Surface Drifter Data on the Elbe estuary: Positions of Lagrangian Hereon Drifter D-323 deployed in German Bight during MOSES 2023 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: The MOSES Elbe 2023 experiment aims at following a water mass from the spring of the Elbe River in the Czech Republic, through the freshwater and tidal sections of the river, into the North Sea, where three ships (Mya II, Littorina, and Ludwig Prandtl) were used covering the marine environment in the German Bight (Sternfahrt 10). In order to follow the water mass from the Elbe estuary numerical simulations were performed to determine the likelihood of a variety of starting points for a drifter release experiment. At the first morning of the cruise model forecasts were used to determine the exact locations where drifters were to be released. The drifters were initially released in groups of three drifters and then supplemented at a later point of time. During the following two and a half weeks, the current drifter positions were revisited from the ships involved to take water samples.
    Keywords: Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Helmholtz_ChangingEarth; HYDREX-Stern10_D-323; Identification; LATITUDE; LONGITUDE; Ludwig Prandtl; Modular Observation Solutions for Earth Systems; MOSES; MOSES_2023_Elbe-NorthSea; MOSES_2023_Elbe-NorthSea_KON1
    Type: Dataset
    Format: text/tab-separated-values, 5340 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 86
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    Basic measurements of radiation at station Lindenberg (2022-06) (2024)
    PANGAEA
    In:  Meteorologisches Observatorium Lindenberg - Richard-Aßmann-Observatorium
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP22, SN 130495, WRMC No. 12024; Pyranometer, Kipp & Zonen, CMP22, SN 170558, WRMC No. 12028; Pyrgeometer, Kipp & Zonen, CGR4, SN 060028, WRMC No. 12019; Pyrheliometer, Kipp & Zonen, CH1, SN 990220, WRMC No. 12012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 819332 data points
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    DATA PANGAEA
  • 87
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    Basic measurements of radiation at station Lindenberg (2022-05) (2024)
    PANGAEA
    In:  Meteorologisches Observatorium Lindenberg - Richard-Aßmann-Observatorium
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP22, SN 130495, WRMC No. 12024; Pyranometer, Kipp & Zonen, CMP22, SN 170558, WRMC No. 12028; Pyrgeometer, Kipp & Zonen, CGR4, SN 170262, WRMC No. 12026; Pyrheliometer, EKO, MS-56, SN P15039, WRMC No. 12021; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 847080 data points
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    DATA PANGAEA
  • 88
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    Radionuclide activities of sediment cores Figino19-2 from lake Lugano, Switzerland (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Keywords: Americium-241; Americium-241, error; Caesium-137; Caesium-137, error; Denitrification; Depth, corrected; DEPTH, sediment/rock; diatom-bound nitrogen isotopes; eutrophication; Figino19-2; Gamma spectrometer, Mirion Technologies [Canberra] Inc.; GC; Gravity corer; lacustrine sediments; Lake Lugano, Figino, Switzerland; Lead-210; Lead-210, error; Lead-210, unsupported; Lead-210, unsupported, error; N2 fixation; nitrogen cycle; Paleolimnology; Potassium-40; Potassium-40, error; Radium-226; Radium-226, error; Sample comment
    Type: Dataset
    Format: text/tab-separated-values, 344 data points
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  • 89
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    Basic measurements of radiation at station Lindenberg (2022-07) (2024)
    PANGAEA
    In:  Meteorologisches Observatorium Lindenberg - Richard-Aßmann-Observatorium
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP22, SN 170558, WRMC No. 12028; Pyranometer, Kipp & Zonen, CMP22, SN 180606, WRMC No. 12025; Pyrgeometer, Kipp & Zonen, CGR4, SN 170262, WRMC No. 12026; Pyrheliometer, Kipp & Zonen, CH1, SN 990220, WRMC No. 12012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 846848 data points
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  • 90
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    Flow velocity records at Rock Glacier Outer Hochebenkar (Äußeres Hochebenkar), Ötztal, Tyrolian Alps, Austria, 1997 et seq (2021)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: Surface velocities have been regularly monitored at the rock glacier in Outer Hochebenkar, Ötztal Alps, Austria since the early 1950s. This data collection provides annual coordinates of the stones at each profile since 1997, when the time series was restarted at the initial profile positions. These data-series is a continuation of Hartl et al. (2016). Coordinate System: MGI Austria GK West (EPSG: 31254).
    Type: Dataset
    Format: application/zip, 8 datasets
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  • 91
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    Diatom-bound and bulk sediment nitrogen isotope ratios, bulk sediment parameters, Ba/Ti ratio & heterocyst glycolipids in lacustrine sediment cores Figino19-2 and Figino18-2 from lake Lugano, Switzerland (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: In two corresponding sediment cores (Figino19-2 and Figino18-2) from the South Basin of Lake Lugano (Switzerland), we have measured diatom-bound nitrogen isotopes, bulk sediment nitrogen and carbon isotopes, organic carbon mass accumulation rates, Ba/Ti ratios and heterocyst glycolipids concentrations to reconstruct the nitrogen cycle and paleoenvironmental conditions of the lake over the past 125 years. Diatom-bound nitrogen isotope analyses were measured using the persulfate denitrifier technique at the University of Basel. Bulk sediment C and N isotope ratios were measured using a Flash EA coupled to a Delta V Plus isotope ratio mass spectrometer at the University of Basel. Ba/Ti ratios were measured by X-ray fluorescence scanning using an ITRAX element core scanner at the University of Bern. Radionuclide activities to constrain the age model were determined by gamma spectrometry in a High-purity Germanium (HPGe) Well Detector at Eawag Dübendorf. Heterocsyst glycolipids were analyzed on a maXis quadrupole time-of-flight mass spectrometer equipped with an electrospray ionization source, and coupled to a Thermo Ultimate 3000RS UHPLC system at the University of Bremen.
    Keywords: Denitrification; diatom-bound nitrogen isotopes; eutrophication; Figino19-2; GC; Gravity corer; lacustrine sediments; Lake Lugano, Figino, Switzerland; N2 fixation; nitrogen cycle; Paleolimnology
    Type: Dataset
    Format: application/zip, 5 datasets
    Location Call Number Expected Availability
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  • 92
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    Water chemistry of Lagrangian samplings of Inland Elbe 2021 (MOSES Hydrological Extremes) (2023)
    PANGAEA
    In:  Helmholtz Centre for Environmental Research - UFZ
    Details
    Publication Date: 2024-07-09
    Description: Four sampling campaigns were performed in the middle part of River Elbe between Elster (river km 199) and Dömitz (km 506). Measurements were done at different seasons and discharge conditions in April, June, August, and October 2021. The sampling was conducted in a Lagrangian way according to travel time using the research vessel Albis. For each campaign, data files of the multiparameter probe and of waterchemical analyses are provided.
    Keywords: 2021ELBE_el19890l; 2021ELBE_el19890m; 2021ELBE_el19890r; 2021ELBE_el19900muend; 2021ELBE_el25800l; 2021ELBE_el25800m; 2021ELBE_el25800r; 2021ELBE_el25900muend; 2021ELBE_el28700l; 2021ELBE_el28700m; 2021ELBE_el28700r; 2021ELBE_el29070muend; 2021ELBE_el31800l; 2021ELBE_el31800m; 2021ELBE_el31800r; 2021ELBE_el32653l; 2021ELBE_el32653m; 2021ELBE_el32653r; 2021ELBE_el35100l; 2021ELBE_el35100m; 2021ELBE_el35100r; 2021ELBE_el38800l; 2021ELBE_el38800m; 2021ELBE_el38800r; 2021ELBE_el42225l; 2021ELBE_el42225m; 2021ELBE_el42225r; 2021ELBE_el43800muend; 2021ELBE_el45490l; 2021ELBE_el45490m; 2021ELBE_el45490r; 2021ELBE_el47500l; 2021ELBE_el47500m; 2021ELBE_el47500r; 2021ELBE_el50600l; 2021ELBE_el50600m; 2021ELBE_el50600r; Acid Base titration; Albis; Ammonium molybdate spectrometric method; Ammonium-nitrogen; Area/locality; Arsenic, dissolved; Arsenic, total; Base capacity 4.3; Base capacity 8.2; Breitenhagen links; Breitenhagen mitte; Breitenhagen rechts; Carbon, organic, dissolved; Carbon, organic, particulate; CFA; Chlorophyll a; Conductivity, electrical; Continuous Flow Analysis; Date/Time local; Distance; Doemitz links; Doemitz mitte; Doemitz rechts; Elbe; Elster links; Elster mitte; Elster rechts; Event label; Havel Muendung; HPLCO; ICP-OES according to DIN EN ISO 11885; Inductively coupled plasma mass spectrometer (ICP-MS) [according to DIN EN ISO 17294-2]; InfraRed sensor detection according to DIN EN 1484:1997 DE; Iron, dissolved; Iron, total; LATITUDE; Lead, dissolved; Lead, total; LONGITUDE; Magdeburg Neue Strombruecke links; Magdeburg Neue Strombruecke mitte; Magdeburg Neue Strombruecke rechts; Manganese, dissolved; Manganese, total; Mercury, total; Modular Observation Solutions for Earth Systems; MOSES; MOSES_2021_Elbe-NorthSea; MOSES_2021_Elbe-NorthSea_Inland; Mulde Muendung; MULT; Multiparameter probe, YSI Xylem Inc., EXO2; Multiple investigations; Nitrate-nitrogen; Nitrite-nitrogen; Nitrogen, organic, particulate; nutrients; Oxygen saturation; pH; Phosphorus, reactive soluble; Phosphorus, total; Phytoplankton; Pigments analysis by HPLC (UV and FLD); river; Rogaetz links; Rogaetz mitte; Rogaetz rechts; Roެau links; Roެau mitte; Roެau rechts; Saale Muendung; Schnackenburg links; Schnackenburg mitte; Schnackenburg rechts; Schwarze Elster Muendung; Segmented flow analysis according to DIN EN ISO 13395:1996-12; Silicon; Tangermuende links; Tangermuende mitte; Tangermuende rechts; Temperature, water; Turbidity (Nephelometric turbidity unit); Werben links; Werben mitte; Werben rechts; Westerhuesen links; Westerhuesen mitte; Westerhuesen rechts; Wittenberge links; Wittenberge mitte; Wittenberge rechts
    Type: Dataset
    Format: text/tab-separated-values, 4580 data points
    Location Call Number Expected Availability
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  • 93
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    Unknown
    In-situ soil moisture and -temperature time series measurements during SwabianMOSES campaign 2021 (2022)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: As part of the hydro-meteorological measurement campaign SwabianMOSES 2021 time-domain transmission soil moisture sensors and temperature sensors with custom-made logger systems were used to measure time series of these soil state variables. The aim of these investigations was to provide data on physical soil properties used in a cross-disciplinary approach for a better understanding of hydro-meteorological extremes (such as high precipitation events and droughts). Each measurement site consisted of sensors at three depths with two sensors each. Logger systems were installed at six different observation sites which were distributed across the whole campaign target area in the vicinity of the Swabian Jura in Germany. Decisions on the specific installation depths were made during the installation at the respective sites based on the constitution of the local soil profiles. Installation protocols with a brief soil profile description and photos are part of this dataset. The dataset contains the values of location and time (UTC), soil temperature (in °C), relative permittivity and soil moisture (in % vol) derived from permittivity. Determination of soil moisture was done using the formula of Topp et al. (1980). As sensors, the SMT100 soil moisture sensor with integrated temperature measurement were used. All sensors were installed within the upper 50cm below ground. The exact depths for each sensor are listed in the comments.
    Keywords: Baden-Wuerttemberg; DATE/TIME; Event label; Field measurements; hail; In-Situ Measurements; Modular Observation Solutions for Earth Systems; MOSES; MOSES_1_Rottenburg; MOSES_2021_Swabian; MOSES_3_Haigerloch; MOSES_42_Steinlach; MOSES_61_Grossbettlingen; MOSES_63_Reutlingen-Betzingen; MOSES_70_Lauswiesen; MULT; Multiple investigations; Permittivity, relative; Sampling on land; SMT100; Soil moisture; Soil Moisture; Soil moisture and temperature sensor, SMT100, Truebner GmbH; soil moisture content; soil permittivity; soil temperature; Swabian MOSES; TDT; Temperature, soil; weather extremes
    Type: Dataset
    Format: text/tab-separated-values, 4561020 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 94
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    Unknown
    REVEALS reconstruction of past vegetation cover with original RPP values for North American samples (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: This data set presents the reconstructed vegetation cover for 1115 North American sites based on harmonized pollen data from the data set LegacyPollen 2.0 (https://doi.pangaea.de/10.1594/PANGAEA.929773). Sugita's REVEALS model (2000) was applied to all pollen records using REVEALSinR from the DISQOVER package (Theuerkauf et al. 2016). Pollen counts were translated into vegetation cover by accounting for taxon-specific pollen productivity and fall speed. Additionally, relevant source areas of pollen were calculated using the aforementioned taxon-specific parameters and a gaussian plume model for deposition and dispersal and forest cover was reconstructed. Values for relative pollen productivity and fall speed from the synthesis from Wiezcorek and Herzschuh (2010) were used for the reconstruction of vegetation cover. The average values from all Northern Hemisphere values were used where taxon-specific continental values were not available. We present tables with reconstructed vegetation cover for all continents with original parameters. As further details we list a table with the taxon-specific parameters used and a list of parameters adjusted in the default version of REVEALSinR.
    Keywords: 05-20-14; 05-21-2; 05-21-4; 05-21-5; 18 [Moraine Lake]; 3PINES; ABALONE; Abalone Rocks Marsh; Abies, cover; AC6107; AC6107-101; Acacia, cover; Acanthaceae, cover; Acer, cover; ACKERMN1_Pollen; ACKERMN5_Pollen; Acona; Acoraceae, cover; ADELINE; Adeline Lake; Adoxaceae, cover; Aesculus, cover; Ailanthus, cover; Aizoaceae, cover; ALBANYON; Albany River Bog; Alchornea, cover; Alexander Lake; Alexis Lake; ALEXISLK; ALEXLAKE; Alfaroa, cover; ALIUK; Aliuk Pond; Allophylus, cover; Alnus, cover; Amaranthaceae, cover; Amaryllidaceae, cover; AMBER; Amber Lake; Amelanchier, cover; Amyris, cover; Anacardiaceae, cover; Anacardium, cover; ANDERS07; ANDERSLK; ANDERSON; Anderson Lake; Anderson Pond; ANDFEN_Pollen; ANDREE; Andree Bog; ANDRUSC2; Andrus Lake; ANDYLAKE; Andy Lake; ANGAL; Angal Lake; ANGE; ANNMI_combined_Pollen; Annona, cover; Annonaceae, cover; ANTELOPE; Antelope Playa; ANTHONY; Anthony Lake; Antirhea, cover; ANTLER; Antler Pond; Apiaceae, cover; Apocynaceae, cover; APPLEMAN; Appleman Lake; Aquifoliaceae, cover; Araceae, cover; Araliaceae, cover; Arbutus, cover; Arctostaphylos, cover; Ardisia, cover; Area; Arecaceae, cover; ARONOW; Aronow Bog; ARREPENT; Arrepentimientos; ARRINGTO; Arrington Marsh; Artemisia, cover; ARTHURB; ARTURO_Pollen; Asimina, cover; Asparagaceae, cover; Asteraceae, cover; Astronium, cover; AT01; ATO; AVERY_Pollen; Avicennia, cover; AWI_Envi; AXELAKE; Axe Lake; BABOCAM_Pollen; BAIRDIN; Baird Inlet [Rock Basin Lake]; BAKER; Baker Lake; Baldwin Lake; BALLSTON; Ballston Lake; BALSAM; Balsaminaceae, cover; Balsam Lake; Banara, cover; Banks Island 74MS11; Banks Island 74MS12; Banks Island 74MS15; BARCHAMP; Barchampe Lake; BARRETT; Barrett Lake; BASEBALL; Baseball Bog; Basin; BASSK; Bass Lake; BASSNFLD; Bass Pond; BASSWOOD; Basswood Road Lake/Splan Pond; BASTIEN; Bataceae, cover; Bates Marsh; BATESON; BATLGRND; BATTAGLI; Battaglia Bog; Battle Ground Lake; BB01_Pollen; BB02_Pollen; BDL12; BEARAZ; BEARBOG; Bear Bog; Bear Lake; BEAUTY; Beauty Lake; Beaverhouse Lake; Beaver Lake; BEAVERWI; BEAVRHS; BECHAN2M; Bechan Cave; BEEF2005; BEEFPAST; Beef Pasture; BEGBIE; Begbie Lake; Begoniaceae, cover; BELEC; Belec Lake Bog; BELLS; Bells Lake; BELMONT; Belmont Bog; Benacadie 4; BENFIELD_Pollen; BENICIA; Benicia State Park; BENSON; Benson Pond; BER; BER_neotoma; Berberidaceae, cover; BERENDON; Berendon Fen; BERNARD_Pollen; BERRYAN; BERRYPND; Berry Pond; Betula, cover; Betulaceae, cover; BI74MS11; BI74MS12; BI74MS15; BIAJACA; Big Cypress Bend [End boardwalk Fak10 endB]; BIGGSVIL; Biggsville [Cessford Quarry]; BIGJOHN; Big John Pond; BIGLAKE; Big Lake; Big Moose Lake; Bignoniaceae, cover; BIGREED; Big Reed Pond Hollow; BIGSANDY; Big Sandy Creek; BILLING; Billings Park; BILLYS; Billys Lake; Binnewater Pond; BINNEWTR; BLACKGMS; BLACKGUM; Black Gum Swamp; BLACKMA; Black Mountain Lake; BLACKMTN; BLACKPND; Black Pond; BLACKTA; Blacktail Pond; Blackwoods Hollow; Blackwood Sinkhole; BLAIR; Blair Lakes; BLAKTAIL; BLANEYS; Blaneys Pond; BLBIGBEE; Blepharandra, cover; BLK13_Pollen; BLKWOODS; Blomidon Section MS-89-16; BLOODMA; Blood Pond; BL-Tombigbee; BLUEBONN; Blue Lakes; Blue Lake Wetlands; Blue Mounds Creek; BLUENV; BLUFFCA; Bluff Lake; BLUMOUND; BLWD-C2; BMOOSE_C2; BOGD; Bog D Pond; BONEYSPR; Boney Spring; Bonnett Lake; BONT14; BOONE; Boone Lake; Boraginaceae, cover; BORDEN_Pollen; BORDER; Border Beacon; BORIACKB; Boriack Bog; BOUC; BOUNDAR; BOUNDARY; Boundary Lake; Boundary Pond; BRANDRET; Brandreth Bog; Brassicaceae, cover; Bravaisia, cover; BREWCRK1; Brewster Creek; BRI2; Brier Island Bog MS-85-22; Brisay 2; Bromeliaceae, cover; BROPHY; Brophy Ditch; Brosimum, cover; BROWNC12; Brown Lake; BROWNS; Browns Bay, Lake Minnetonka; BROWNSBY; Browns Island; BROWNSLK; BROWNSPD; Browns Pond; BRULE; BSLID_Pollen; BTP06_Pollen; BTRUM_Pollen; BUCKBEAN; Buckbean Bog; Buckbean Fen; BUCKBOG; BUCKL_Pollen; Buck Lake; BUCKLEY; Buckley Pond Hollow; BUCKMI; BUCYRUS; Bucyrus Bog; Buddleja, cover; BUFFD_Pollen; BUNKERCA; Bunker Lake; BURDEN; Burden Lake; BURNTKNB; Burnt Knob Lake; Bursera, cover; Buxus, cover; Byron-Bergen Swamp (Site 1); Byron-Bergen Swamp (Site 2); BYRONMRL; BYRONSWP; Byrsonima, cover; Cactaceae, cover; CADDO1; CADDO3; Caddo Creek (Core 1); Caddo Creek (Core 3); Caesalpinia, cover; CAHABA; Cahaba Pond; CA-HUM-558 (Pilot Ridge); CAL; Calculated average/mean values; Calendar age, maximum/old; Calendar age, mean; Calendar age, median; Calendar age, minimum/young; Calycanthaceae, cover; CAMEL; Camel Lake; CAMP; Camp 11 Lake; CAMP11LK; Camp 12 Lake; CAMP12LK; Campanulaceae, cover; Camp Lake; CANDELAB; Candelabra Lake; CANELO_Pollen; Cannabaceae, cover; Cannaceae, cover; Canotia, cover; Canyon Lake; CANYONMI; CAPITOLA; Capitola Lake; Capparaceae, cover; Capparis, cover; Caprifoliaceae, cover; CAR; CAR_neotoma; CARIB; CARIBBOG; CARIBOU; CARIBOU_neotoma; Caribou Bog; Caribou Lake (MS-74-15); Carica, cover; CARPLAKE; Carp Lake; CARTER; Carter Site; Carya, cover; Caryocar, cover; Caryodendron, cover; Caryophyllaceae, cover; CAS; CAS_neotoma; Casasia, cover; Casearia, cover; Cassia, cover; CASSIOPE; Cassiope Pond; Castanea, cover; Castanopsis, cover; Casuarina, cover; CATACLR3; Catahoula Lake (core CLR3); Catalpa, cover; Ceanothus, cover; Cecropia, cover; CEDARBLK; Cedar Bog; CEDARCA; Cedar Lake; Cedar Tree Neck Bog; Cedrus, cover; Celastraceae, cover; Celtis, cover; Cenote San Jose Chulchaca; Cephalanthus, cover; Cercis, cover; Cercocarpus, cover; CERRITOS_Pollen; CHALCOLA; Chalco Lake; Chamaecyparis, cover; Chance Harbour Lake; CHASE; CHASE_neotoma; CHASEMA_Pollen; Chatsworth Bog; CHEN05-1A_Pollen; CHEN10-4A_Pollen; CHES2207; CHES2208; CHES2209; Chesapeake Bay, Patuxent River (2-P-5); Chesapeake Bay, Potomac River; Chesapeake Bay, Rhode River; Chesapeake Bay (MD99-2207); Chesapeake Bay (MD99-2208); Chesapeake Bay (MD99-2209); Chesapeake Bay (PTMC3-2); CHESPTMC; Chickaree Lake; CHICKREE; China Camp; CHINACMP; CHIPPEWA; Chippewa Bog; Choquette Lake; Chrysobalanaceae, cover; Chrysolepis, cover; Chrysophyllum, cover; CHTSWRTH; CIELBLAN; Cienega de San Bernadino; Cistaceae, cover; Citharexylum, cover; Citrus, cover; CKAIL_Pollen; CL-06; CLAMGULC; Clam Gulch; CLEARBOG; Clear Lake; CLEARLIA; CLEARLK; CLEARPND; Clear Pond; Clearwater Bog; Clearwater Lake; CLEARWTR; Cleomaceae, cover; Clethra, cover; CLEVELND; CLIFFMI_Pollen; CLOUGH; CLOVERD_Pollen; Clusiaceae, cover; Cobweb Swamp (Sawgrass Core); Coccoloba, cover; CODE; Code Lake; COGHILL; Coghill Lake; Collins Pond Site (PL-86-56); Colo Marsh; COLOMSH; COLPNDNS; Colubrina, cover; Combretaceae, cover; Combretum, cover; Commelinaceae, cover; Commiphora, cover; COMOLAKE; Como Lake; COMPASS; Compass Pond; Connarus, cover; CONNE; Conne River; Conocarpus, cover; Conroy Lake; CONROYLD; Continent; Convolvulaceae, cover; Cooley Lake; COOTES; Cootes Paradise Marsh; COPLEY; Copley Lake; COPPER; Coppermine Saddleback; Cordia, cover; Cordyline, cover; Core; CORE; Cornaceae, cover; Cornus, cover; Corylus, cover; COTJ; COTTONWD; Cottonwood Lake; Cottonwood Pass Pond; COTTPASS; COWDEN; Cowden Lake; COWLES; Cowles Bog; CRANBER; Cranberry Glades; Cranberry Lake; CRANELAK; Crane Lake; CRANGLDS; Crassulaceae, cover; Crataegus, cover; CRATERBC; Crater Lake; CRATES; Crates Lake; CRAWFDC; Crawford Lake; CREELBAY; CRIDERS; Criders Pond; CRISTAL; Cristal Lake; CROCKER-CL; Crocker Lake; Crooked Lake; CROOKEDN; CROWFOOT; Crowfoot Lake; CROWSNES; Crowsnest Lake; CRYSTAL; CRYSTALIL; Crystal Lake; CS2; CS2_neotoma; CSB; CTNECKB; CUB2; CUBCRK17_Pollen; CUBID; Cub Lake; Cucurbitaceae, cover; CUMBRES; Cumbres Bog; CUMMINSA; Cummins Pond; Cupania, cover; CUPOLA; CUPOLA1; CUPOLA4; Cupola Pond; Cupressaceae, cover; Cupressus, cover; CY; CYCLOID1; Cycloid Lake; CYGNET; Cygnet Lake Fen; Cyperaceae, cover; Cyrilla, cover; Cyrillaceae, cover; DAILEY; Dailey Lake; Dalbergia, cover; Data ID; DAU; Daumont; DAVIS; DAVIS_neotoma; DAYWA14_Pollen; DBATHTUB; DEAD5826; DEAD6101; DEADFROG; Dead Frog Pond; DEADHORS; Dead Horse Lake; DEADSPR; Dead Spruce Lake; DECOY; Decoy
    Type: Dataset
    Format: text/tab-separated-values, 105895584 data points
    Location Call Number Expected Availability
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  • 95
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    Unknown
    Inorganic nutrient concentrations in seawater during a multi-stressor ex-situ aquarium experiment with the cold-water coral Dendrophyllia cornigera (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: A 9-month aquarium experiment with the cold-water Dendrophyllia cornigera was conducted to investigate the single and combined effects of warming, acidification and deoxygenation on its ecophysiological response. The experiment took place at the Aquarium finisterrae (A Coruña, Spain) between 2022-05-06 and 2023-02-24. Treatment values for each parameter (current in situ vs. climate change) were: 12 °C and 15 °C (temperature); ~7.99 and 7.69 (pH); ~8.63 mg/L and 6.45 mg/L (dissolved oxygen concentration). A total of eight treatments (with 3 replicates each, 5 L aquaria) were set up. Concentrations of dissolved nitrates, nitrite, silicate and phosphate were analysed from each experimental aquaria after one, six and nine months. Inorganic nutrient concentrations in seawater were determined using a SFA (Segmented Flow Autoanalyzer) (Aminot & Kérouel, 2007) with a SEAL Analytical QuAAtro analyzer using established colorimetric methods (Hydes et al. 2010 & Becker et al. 2020). RMNs (Reference Material for nutrients in seawater) with different concentration ranges were used for quality control and accuracy of our analysis. Low nutrient seawater (surface seawater filtered and aged) is also used to control low nutrient concentrations.
    Keywords: Colorimetric using QuAAtro39 AA (Seal Analytical); DATE/TIME; Dendrophyllia_cornigera_Coral_Bycatch_A_Coruna; experimental data; Experiment duration; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Laboratory experiment; NE Atlantic; Nitrate and Nitrite; Nitrite; North Atlantic Ocean; nutrients; NW Spain; Phosphate; Replicate; Salinity; Silicate; Species; Species, unique identification (Semantic URI); Species, unique identification (URI); Treatment; Treatment: temperature; Type of study; WTW Multi Set 350i multiparameter probe
    Type: Dataset
    Format: text/tab-separated-values, 864 data points
    Location Call Number Expected Availability
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  • 96
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    Unknown
    Carbon compounds, nutrients and methane from water samples from MOSES project's cruise Sternfahrt 8, September 2021 (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: The cruise Sternfahrt_8 was a continuation of the previous Sternfahrten (1-7). This time the aim was to assess not only the spatial variability but also the temporal variance of chemical, physical and greenhouse gases in the German Bight (North Sea). Therefore, three ships with different tracks repeated the same track with the same stations for four days (GPS-Positions see metadata). One Ship (Uthörn) covered the western part of our study area, the second ship (Littorina) covered the northern part (Büsum – Heligoland) and the third ship (Ludwig Prandtl) was supposed to take the middle part (Cuxhaven – Heligoland), but due to vandalism damage in the beginning of the cruise this ship was not able to participate in the cruise. Apart from continuously measurements six CTD stations were run each day delivering discrete water samples for DIC, TA, DOC, methane, nutrients and explosive metals. This dataset contains the results from the latter water samples. For more detailed information about the MOSEShx campaign and the cruise Sternfahrt_8 respectively see article cited in references.
    Keywords: Alfred-Wegener-Institute; Alkalinity, total; Ammonium; Automated Infra Red Inorganic Carbon Analyzer (AIRICA), MARIANDA; with a LICOR detector (LI-7000 CO2/H2O Analyzer); Carbon, inorganic, dissolved; Carbon, organic, dissolved; DATE/TIME; DEPTH, water; DIC; DOC; Event label; Geomar; German Bight; Headspace gas chromatography according to Magen et al. (2014); Hereon; In situ; L1; L10; L11; L12; L13; L14; L15; L16; L17; L18; L19; L2; L20; L21; L22; L23; L3; L4; L5; L6; L7; L8; L9; LATITUDE; Littorina; LONGITUDE; Methane; Methane concentration; Modular Observation Solutions for Earth Systems; MOSES; MOSES_2021_Elbe-NorthSea; MOSES_2021_Elbe-NorthSea_L1; MOSES_2021_Elbe-NorthSea_UT1; Name; Nitrate; Nitrite; Nitrogen, organic, total; North Sea transect; nutrient; Phosphate; Principal investigator; SEAL Analytical, AutoAnalyzer QuAAtro39, method No. Q-066-05 Rev. 3; ship-based; Silicate; Station label; stern_8-L1; stern_8-L10; stern_8-L11; stern_8-L12; stern_8-L13; stern_8-L14; stern_8-L15; stern_8-L16; stern_8-L17; stern_8-L18; stern_8-L19; stern_8-L2; stern_8-L20; stern_8-L21; stern_8-L22; stern_8-L23; stern_8-L3; stern_8-L4; stern_8-L5; stern_8-L6; stern_8-L7; stern_8-L8; stern_8-L9; stern_8-U1; stern_8-U10; stern_8-U11; stern_8-U12; stern_8-U13; stern_8-U14; stern_8-U15; stern_8-U16; stern_8-U17a; stern_8-U17b; stern_8-U18; stern_8-U19; stern_8-U2; stern_8-U20; stern_8-U21; stern_8-U22; stern_8-U23; stern_8-U3a; stern_8-U3b; stern_8-U4; stern_8-U5; stern_8-U6; stern_8-U7; stern_8-U8; stern_8-U9; TA alkalinity; Titration according to Dickson et al. (2007); Total organic carbon analyzer (TOC), Shimadzu, TOC-VPCH; U-1; U-10; U-11; U-12; U-13; U-14; U-15; U-16; U-17a; U-17b; U-18; U-19; U-2; U-20; U-21; U-22; U-23; U-3a; U-3b; U-4; U-5; U-6; U-7; U-8; U-9; Uthörn; Water sample; Water samples; WS
    Type: Dataset
    Format: text/tab-separated-values, 529 data points
    Location Call Number Expected Availability
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  • 97
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    Unknown
    REVEALS reconstruction of past vegetation cover with original RPP values for samples in Australia and Oceania (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: This data set presents the reconstructed vegetation cover for 80 Indopacific sites based on harmonized pollen data from the data set LegacyPollen 2.0 (https://doi.pangaea.de/10.1594/PANGAEA.929773). Sugita's REVEALS model (2000) was applied to all pollen records using REVEALSinR from the DISQOVER package (Theuerkauf et al. 2016). Pollen counts were translated into vegetation cover by accounting for taxon-specific pollen productivity and fall speed. Additionally, relevant source areas of pollen were calculated using the aforementioned taxon-specific parameters and a gaussian plume model for deposition and dispersal and forest cover was reconstructed. Values for relative pollen productivity and fall speed from the synthesis from Wiezcorek and Herzschuh (2010) were used for the reconstruction of vegetation cover. The average values from all Northern Hemisphere values were used where taxon-specific continental values were not available. We present tables with reconstructed vegetation cover for all continents with original parameters. As further details we list a table with the taxon-specific parameters used and a list of parameters adjusted in the default version of REVEALSinR.
    Keywords: Acacia, cover; Acanthaceae, cover; Acmena, cover; Acronychia, cover; Aegiceras, cover; Agastachys, cover; Agathis, cover; Aglaia, cover; Aidia, cover; Aizoaceae, cover; Albizia, cover; Alectryon, cover; Aleurites, cover; Allocasuarina, cover; Allophylus, cover; Alnus, cover; Alphitonia, cover; Altingia, cover; ALUAIPUGUA_Pollen; Amaranthaceae, cover; Anacardiaceae, cover; Angophora, cover; Annonaceae, cover; Anodopetalum, cover; Anopterus, cover; ANOUWE2T1_Pollen; Antidesma, cover; Antirhea, cover; Aphananthe, cover; Apiaceae, cover; Apocynaceae, cover; Araceae, cover; Araliaceae, cover; Araucaria, cover; Araucariaceae, cover; Ardisia, cover; Area; Arecaceae, cover; Arenga, cover; Aristotelia, cover; Artemisia, cover; Arytera, cover; Ascarina, cover; Asparagaceae, cover; Asphodelaceae, cover; Asteliaceae, cover; Asteraceae, cover; Astrotricha, cover; Atalaya, cover; Atherosperma, cover; Athrotaxis, cover; Austrobuxus, cover; Avicennia, cover; AWI_Envi; Baccaurea, cover; Baeckea, cover; Balanops, cover; Balsaminaceae, cover; BANDUNG2; Bandung DPDR-II; Banksia, cover; Barringtonia, cover; Basin; Bataceae, cover; Bauhinia, cover; Bedfordia, cover; BEGASWAM; Bega Swamp; Begoniaceae, cover; Beilschmiedia, cover; Beyeria, cover; Bignoniaceae, cover; BIGREEDY_Pollen; Bischofia, cover; BLACKSW_Pollen; BLUELAKE; Blue Lake; Bobea, cover; Bombax, cover; BONATOAB; Bonatoa Bog; Boraginaceae, cover; Bossiaea, cover; Brachychiton, cover; BRASS; Brassicaceae, cover; Brass Tarn; Breynia, cover; Bridelia, cover; Bruguiera, cover; BSP02_Pollen; Buchanania, cover; Buddleja, cover; Bursaria, cover; Cactaceae, cover; Calculated average/mean values; Calendar age, maximum/old; Calendar age, mean; Calendar age, median; Calendar age, minimum/young; Callitris, cover; Calocedrus, cover; Calophyllum, cover; Calytrix, cover; CAMERONS_Pollen; Campanulaceae, cover; Camptostemon, cover; Cannabaceae, cover; Canthium, cover; Capparaceae, cover; Capparis, cover; Caprifoliaceae, cover; Carallia, cover; Carpodetus, cover; Caryophyllaceae, cover; Cassia, cover; Castanopsis, cover; Casuarina, cover; Casuarinaceae, cover; CAVEBAYV78_Pollen; Ceiba, cover; Celastraceae, cover; Celtis, cover; Cenarrhenes, cover; Centrolepidaceae, cover; Cerberiopsis, cover; Charpentiera, cover; Cheirodendron, cover; Chionanthus, cover; Choretrum, cover; Claoxylon, cover; Cleidion, cover; Clerodendrum, cover; CLUBSM_Pollen; COBBCV1_Pollen; Cocos, cover; Codia, cover; Codonocarpus, cover; Colubrina, cover; Combretaceae, cover; Commelinaceae, cover; Commersonia, cover; Connaraceae, cover; Continent; Convolvulaceae, cover; Cordyline, cover; COREDC1; Coriariaceae, cover; Corymbia, cover; Corynocarpus, cover; COTTER_Pollen; Crassulaceae, cover; CRYLGN_Pollen; Cryptandra, cover; Cucurbitaceae, cover; Cunoniaceae, cover; Cupaniopsis, cover; Cupressaceae, cover; Cyclophyllum, cover; Cynometra, cover; Cyperaceae, cover; Dacrycarpus, cover; Dacrydium, cover; Daphniphyllum, cover; DARBY_Pollen; Data ID; Decaspermum, cover; DEPTH, sediment/rock; Diameter; Didymotheca, cover; Dillenia, cover; Dilleniaceae, cover; Dioscoreaceae, cover; Diospyros, cover; Discaria, cover; Distylium, cover; Dodonaea, cover; DOVE; Dove Lake; Dracophyllum, cover; Drimys, cover; DUKES; Dukes Tarn; Dysoxylum, cover; EA200; EA204; Eagle Tarn; EAGLTARN; Ebenaceae, cover; Ehretia, cover; Elaeagnus, cover; Elaeocarpaceae, cover; Elaeocarpus, cover; Elattostachys, cover; ELZ01_Pollen; Endospermum, cover; Engelhardia, cover; Epacridaceae, cover; Eremophila, cover; Ericales, cover; Eriostemon, cover; Erythrina, cover; Escalloniaceae, cover; Eucalyptus, cover; Eucryphia, cover; Eugenia, cover; Euodia, cover; Euphorbiaceae, cover; Event label; EWEBURN_Pollen; Excoecaria, cover; EXN62_Pollen; Exocarpos, cover; Fabaceae, cover; Fagraea, cover; Ficus, cover; Flindersia, cover; Forest, cover; fossil pollen; Frankeniaceae, cover; FRN02_Pollen; FROME_Pollen; Fuchsia, cover; Garcinia, cover; Gardenia, cover; Geniostoma, cover; Gentianaceae, cover; Geraniaceae, cover; Gesneriaceae, cover; Glochidion, cover; GOG; Goodeniaceae, cover; Granta Pools; Grevillea, cover; Griselinia, cover; GRNLGN_Pollen; Guettarda, cover; Guioa, cover; Gunneraceae, cover; Gymnostoma, cover; Gyrostemon, cover; Gyrostemonaceae, cover; Hakea, cover; Halocarpus, cover; HANLON_Pollen; Helicia, cover; Helicteres, cover; Heliotropium, cover; Heritiera, cover; Hernandiaceae, cover; Hibbertia, cover; Hoheria, cover; Homalanthus, cover; Homalium, cover; HORDORLI; HS78_Pollen; Hydrangeaceae, cover; Hypericaceae, cover; Hypoxidaceae, cover; Ijomba; IJOMBA; Ilex, cover; Indeterminable, cover; Indigofera, cover; Indopacific; Iridaceae, cover; Ixerba, cover; Ixora, cover; JACKSONB; Jacksons Bog; Juglandaceae, cover; Juglans, cover; Juncaceae, cover; KEALIA; Kealia Pond; KIRKPAT; Kleinhovia, cover; Knightia, cover; Kohuora_Pollen; Komanimambuno Mire; KOMANLO; Kunzea, cover; Lac Suprin; Lagarostrobos, cover; Lagerstroemia, cover; Lake George; Lake Hordorli; Lake Kirkpatrick; Lake Tagimaucia; Lake Vera; Lambertia, cover; Lamiaceae, cover; Lasiopetalum, cover; LATITUDE; Lauraceae, cover; Laurelia, cover; LC1B_Pollen; Lepidothamnus, cover; Leptecophylla, cover; Leptospermum, cover; Leucopogon, cover; LGEORGE; Libocedrus, cover; Liliaceae, cover; Liliales, cover; Linderniaceae, cover; Litsea, cover; LIZARD_Pollen; LKCARP_Pollen; Location ID; Loganiaceae, cover; Lomatia, cover; Lonchocarpus, cover; LONGITUDE; Lophomyrtus, cover; Loranthaceae, cover; LOWELAK_Pollen; Lumnitzera, cover; LYNCHA; LYNCHA74_Pollen; Lynchs Crater; Lythraceae, cover; Macaranga, cover; Maesa, cover; Mallotus, cover; Malpighiaceae, cover; Malvaceae, cover; Manoao, cover; Median values; Melaleuca, cover; Melastomataceae, cover; Melia, cover; Meliaceae, cover; Melicope, cover; Melicytus, cover; Meliosma, cover; Melochia, cover; Meryta, cover; Metrosideros, cover; Metroxylon, cover; MICALONG_Pollen; Mida, cover; Mimusops, cover; MODEWARRE_Pollen; Montiaceae, cover; Moraceae, cover; Morinda, cover; MP.LGN_Pollen; Myoporaceae, cover; Myoporum, cover; Myrica, cover; Myristica, cover; Myrsinaceae, cover; Myrsine, cover; Myrtaceae, cover; NADRAU; Nadrau Swamp; NATCOMLAG_Pollen; Nauclea, cover; NCE1998_Pollen; Neonauclea, cover; Neopanax, cover; Nestegis, cover; Nitrariaceae, cover; North America; Notelaea, cover; Nothocestrum, cover; Nothofagus, cover; Nyctaginaceae, cover; Octomeles, cover; Olea, cover; Oleaceae, cover; Onagraceae, cover; Opiliaceae, cover; Orchidaceae, cover; Orobanchaceae, cover; Oxalidaceae, cover; PADDYS; Paddys Lake; Palaquium, cover; paleoecology; Pandanaceae, cover; Pandanus, cover; Papuacedrus, cover; Parinari, cover; Passiflora, cover; Pemphis, cover; Pennantia, cover; Persoonia, cover; Pherosphaera, cover; Phrymaceae, cover; Phyllanthaceae, cover; Phyllocladus, cover; Phytolaccaceae, cover; Picea, cover; Picrodendraceae, cover; Pinaceae, cover; Pinus, cover; Piper, cover; Piperaceae, cover; Pipturus, cover; Pisonia, cover; Pittosporaceae, cover; Pittosporum, cover; Planchonia, cover; Plantaginaceae, cover; Plerandra, cover; Plumbaginaceae, cover; Poaceae, cover; Podocarpaceae, cover; Podocarpus, cover; Polar Terrestrial Environmental Systems @ AWI; Pollen, rel influx, median; Pollen, rel influx, standard deviation; Polygalaceae, cover; Polygonaceae, cover; Polyscias, cover; Pomaderris, cover; Pometia, cover; Portulacaceae, cover; Pouteria, cover; Primulaceae, cover; Pritchardia, cover; Prosopis, cover; Proteaceae, cover; Prumnopitys, cover; Prunus, cover; Pseudopanax, cover; Pseudowintera, cover; Psidium, cover; Psychotria, cover; Psydrax, cover; Quercus, cover; Quintinia, cover; Radius; RAIDA4; Rairua marsh; Randia, cover; Ranunculaceae, cover; Rapanea, cover; Reference/source; Restionaceae, cover; REVEALS; Rhamnaceae, cover; Rhizophora, cover; Rhopalostylis, cover; Rhus, cover; Ringarooma River; Ripogonaceae, cover; Rosaceae, cover; Rosales, cover; ROTTEN; Rotten Swamp; RR1; Rubiaceae, cover; Rumex, cover;
    Type: Dataset
    Format: text/tab-separated-values, 8796033 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 98
    facet.materialart.
    Unknown
    Shipboard ADCP current measurements (38 kHz) during RV MARIA S. MERIAN cruise MSM117 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: Current velocities of the upper water column along the cruise track of R/V Maria S. Merian cruise MSM117 were collected by a vessel-mounted 38 kHz RDI Ocean Surveyor ADCP. The ADCP transducer was located at 6.0 m below the water line. The instrument was operated in two different configurations: 1) broadband mode with 32 m bins and a blanking distance of 16 m, with a total of 50 bins, 2) narrowband mode with 32 m bins and a blanking distance of 16 m, with a total of 50 bins. Beam velocities as recorded by the data acquistion software VmDAS were transformed to ship coordinates and after merging with the navigation data from the ship's Motion Reference Unit and Global Positioning systems into earth coordinates. Single-ping data were screened for bottom signals and, where appropriate, a bottom mask was manually processed. The ship's velocity was calculated from position fixes obtained by the Global Positioning System (GPS). Accuracy of the ADCP velocities mainly depends on the quality of the position fixes and the ship's heading data. Further errors stem from a misalignment of the transducer with the ship's centerline. Data post-processing included water track calibration of the misalignment angle (configuration 1: 0.3196° +/- 0.8714°, configuration 2: 0.3603° +/- 0.6433°) and scale factor (configuration1: 1.0007 +/- 0.0151, configuration 2: 1.0024 +/- 0.0107) of the Ocean Surveyor signal. The velocity data were averaged in time using an average interval of 60 s. Velocity quality flagging is based on following threshold criteria: abs(UC) or abs(VC) 〉 2.0 m/s, rms(UC_z) or rms(VC_z) 〉 0.3.
    Keywords: Current velocity, east-west; Current velocity, north-south; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Echo intensity, relative; LATITUDE; LONGITUDE; Maria S. Merian; MSM117; MSM117_0_Underway-5; Pings, averaged to a double ensemble value; Quality flag, current velocity; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); Vessel mounted Acoustic Doppler Current Profiler [38 kHz]; VMADCP-38; WB Circ Brazil
    Type: Dataset
    Format: text/tab-separated-values, 9215290 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 99
    facet.materialart.
    Unknown
    Shipboard ADCP current measurements (75 kHz) during RV SONNE cruise SO299 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: Current velocities of the upper water column along the cruise track of R/V Sonne cruise SO299 were collected by a vessel-mounted 75 kHz RDI Ocean Surveyor ADCP. The ADCP transducer was located at 6.0 m below the water line. The instrument was operated in narrowband mode (WM10) with a bin size of 8.00 m, a blanking distance of 8.00 m, and a total of 100 bins, covering the depth range between 22.0 m and 814.0 m. Heading, pitch and roll data from the ship's motion reference unit and the navigation data from the Global Positioning systems were used by the data acquisition software VmDAS internally to convert ADCP velocities into earth coordinates. Single-ping data were screened for bottom signals and, where appropriate, a bottom mask was manually processed. The ship's velocity was calculated from position fixes obtained by the Global Positioning System (GPS). Accuracy of the ADCP velocities mainly depends on the quality of the position fixes and the ship's heading data. Further errors stem from a misalignment of the transducer with the ship's centerline. Data post-processing included water track calibration of the misalignment angle (-0.1438° +/- 0.4600°) and scale factor (1.0005 +/- 0.0086) of the Ocean Surveyor signal. The velocity data were averaged in time using an average interval of 300 s. Velocity quality flagging is based on different threshold criteria: Depth cells with ensemble-averaged percent-good values below 25% are marked as 'bad data'. Depth cells with velocities above 1.5 m/s are flagged as 'bad data'. Depth cells with a root-mean-square deviation between the measured ensemble-average velocity and a cell-wise running-mean velocity above 0.5 m/s are flagged as 'probably bad data'.
    Keywords: Current velocity, east-west; Current velocity, north-south; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; DynaMet; Echo intensity, relative; LATITUDE; LONGITUDE; Pings, averaged to a double ensemble value; Quality flag, current velocity; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); SO299; SO299/1_0_Underway-4; Sonne_2; Vessel mounted Acoustic Doppler Current Profiler [75 kHz]; VMADCP-75
    Type: Dataset
    Format: text/tab-separated-values, 5107345 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 100
    facet.materialart.
    Unknown
    Carbonate chemistry of an aquaria setup during a multi-stressor experiment with the cold-water coral Dendrophyllia cornigera (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: A 9-month aquarium experiment with the cold-water Dendrophyllia cornigera was conducted to investigate the single and combined effects of warming, acidification and deoxygenation on its ecophysiological response. The experiment took place at the Aquarium finisterrae (A Coruña, Spain) between 2022-05-06 and 2023-02-24. Treatment values for each parameter (current in situ vs. climate change) were: 12 °C and 15 °C (temperature); ~7.99 and 7.69 (pH); ~8.63 mg/L and 6.45 mg/L (dissolved oxygen concentration). A total of eight treatments (with 3 replicates each, 5 L aquaria) were set up. Measurements for pH and total alkalinity (TA) were performed on seawater samples from all the experimental aquaria every 1 – 2 months. Samples for pH were directly collected on cylindrical 10 cm cuvettes and analysed on daily basis. After being thermostated at 25ºC, samples were measured using a manual spectrophotometrical procedure with a Sigma Aldrich impure indicator (Clayton and Byrne, 1993). TA was measured following the double end point potentiometric technique by Pérez and Fraga (1987a) and Pérez et al. (2000). Measurements of Certified Reference Material (Dickson's lab, SIO) were performed in order to control the accuracy of the TA measurements. The uncertainty of TA and pH is about 3 μmol/kg and 0.005 pH units, respectively. In situ additional CO2 system variables were calculated using the R package seacarb (Gattuso et al. 2023) using in situ temperature, salinity, measured pH and TA, the dissociation constants of carbonic acid in seawater (K1 and K2) by Lueker et al. (2000), the equilibrium constant of hydrogen fluoride by Perez and Fraga (1987b), the concentration of total boron by Uppström (1974) formulation, and the stability constant of hydrogen sulphate by Dickson (1990). Mean values for the concentration of silicate and phosphate on the aquaria experiments were used in the CO2 calculations, respectively, mean (and standard) deviations as 2.1 (0.4) and 0.31 (0.03) μmol/kg.
    Keywords: Alkalinity, total; Aragonite saturation state; Atlantic Ocean; Bicarbonate ion; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate chemistry; Carbonate ion; Carbon dioxide; DATE/TIME; Dendrophyllia_Bycatch; Experimental treatment; Experiment duration; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Laboratory experiment; NE Atlantic; NW Spain; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; Potentiometric titration; Replicate; Salinity; Species; Species, unique identification (Semantic URI); Species, unique identification (URI); Spectrophotometric; Treatment: temperature; Type of study; WTW Multi Set 350i multiparameter probe
    Type: Dataset
    Format: text/tab-separated-values, 2822 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
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