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  • 2020-2024  (9,060)
  • 2000-2004  (15)
  • 2024  (9,060)
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Year
  • 1
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    Unknown
    Neodymium isotope record of IODP Site 303-U1304 for MIS 12-11 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-08
    Description: This data set reports neodymium (Nd) isotopic signatures at IODP Site 303-U1304 at the southern Gardar Drift in the North Atlantic to investigate changes in the deep water mass provenance from 374.3 to 468.5 ka covering Marine Isotope Stages (MIS) 12 and 11. The samples were taken along the shipboard splice and the age model of Xuan et al. (2016, doi:10.1016/j.quascirev.2016.04.010) was applied. The authigenic Nd isotopes were extracted from the sediment by bulk sediment leaching following the protocol of Blaser et al. (2016, doi:10.1016/j.chemgeo.2016.06.024). The isotope ratios were measured on a MC-ICP-MS (Neptune plus) coupled to a desolvator (Apex HF) at the Institute of Environmental Physics, Heidelberg University, Germany and were corrected to 146Nd/144Nd = 0.7219.
    Keywords: 303-U1304A; 303-U1304B; After Xuan et al. (2016); AGE; Depth, composite; DRILL; Drilling/drill rig; Event label; Exp303; Joides Resolution; Laboratory code/label; Latitude of event; Longitude of event; MC-ICP-MS (Thermo Scientific, Neptune); MIS 11; MIS 12; Neodymium isotopes; North Atlantic Climate 1; Proposed International Geo Sample Number; Sample code/label; ε-Neodymium; ε-Neodymium, error
    Type: Dataset
    Format: text/tab-separated-values, 518 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 2
    facet.materialart.
    Unknown
    Seawater carbonate chemistry and larval and juvenile growth, development and swimming performance of European sea bass (Dicentrarchus labrax) (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-08
    Description: This study assessed the effect of projected ocean acidification and ocean warming on key fitness traits (growth, development and swimming ability) in European sea bass (Dicentrarchus labrax) larvae and juveniles. Starting at 2 days post-hatch (dph), larvae were exposed to one of three levels of PCO2 (650, 1150, 1700 μatm; pH 8.0, 7.8, 7.6) at either a cold (15˚C) or warm (20˚C) temperature. Growth rate, development stage and critical swimming speed (Ucrit) were repeatedly measured as sea bass grew from 0.6 to ~10.0 (cold) or ~14.0 (warm) cm body length. This dataset is included in the OA-ICC data compilation maintained in the framework of the IAEA Ocean Acidification International Coordination Centre (see https://oa-icc.ipsl.fr). Original data were downloaded from Dryad (see Source) by the OA-ICC data curator. In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2024) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2024-05-10.
    Keywords: Alkalinity, total; Alkalinity, total, standard error; Animalia; Aragonite saturation state; Behaviour; Bicarbonate ion; Body length; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chordata; Coast and continental shelf; Code; Containers and aquaria (20-1000 L or 〈 1 m**2); Date; Dicentrarchus labrax; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Height; Identification; Laboratory experiment; Life stage; Nekton; North Atlantic; OA-ICC; Ocean Acidification International Coordination Centre; Oxygen saturation; Oxygen saturation, standard error; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Partial pressure of carbon dioxide (water) at sea surface temperature (wet air), standard error; Pelagos; pH; pH, standard error; Replicate; Run; Salinity; Salinity, standard error; Sample ID; Single species; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Speed, swimming; Temperate; Temperature; Temperature, water; Temperature, water, standard error; Time in days; Treatment: pH; Treatment: temperature; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 17132 data points
    Location Call Number Expected Availability
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  • 3
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    Pre-industrial Holocene (pi-HOL) paleo-dust record (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-08
    Keywords: 0038PG; 0055PG; 0058PG; 0082PG; 11071651 Pistoncore2; 11191756 Piston core 8, TT013-PC72; 12JPC; 138-848B; 138-849A; 138-850A; 138-851E; 138-852A; 138-853B; 145-887; 14MC_13BB; 16MC_sed; 177-1088; 1MC_sed; 21MC_20BB; 26MC-25BB; 29MC-28BB; 33MC_32BB; 342; 39MC-36BB; 74KL_sed; 7MC_sed; 90-593; 9MC_sed; Accumulation rate, dust, per year; Accumulation rate, dust, per year, size fraction 〈 10 µm; Accumulation rate, dust, per year, size fraction 〈 10 µm, standard deviation; Accumulation rate, dust, per year, standard deviation; Accumulation rate, sediment, mean per year; Accumulation rate, sediment, standard deviation; Aeolian components, fractional; Aeolian components, standard deviation; Age, maximum/old; Age, maximum/old, standard deviation; Age, minimum/young; Age, minimum/young, standard deviation; Ahklun-Mountains; Alaska, USA; Amazon Fan; Amsterdam-Island; Antarctica; ANT-XI/2; ANT-XXVI/2; APSARA4; Area/locality; Argentina; Atlantic Ocean; Australia; Baicaoyuan; Baie_Canada; Baimapo; Banshan; Baoji-Lingyuan; Barrhill; Barton-County; Baxie-Dongxiang; BC; Beglitsa; Beiguoyuan; Beiguoyuan-II; Beisel-Steinle; Beiyuan; Beiyuantou; Belgium; Bering Sea; Bignell-Hill-1; Blue-Lake; Borehole-OT-1; Box corer; calculated, 1 sigma; CALYPSO; CALYPSO2; Calypso Corer; Calypso Corer II; Canada; Canterbury-Plains-II; Caocun; CD129; Chagelebulu-1-Cagelebulu; Changwu; Charles Darwin; Chatanika-River; Chena; Chenjiawo-Lantian-1; Chile; China; Chitina; Chumbur-Kosa; Chunhua; Clear; Columbine; COMPCORE; Composite Core; Copper, Alaska, U.S.A., North America; Core; CORE; CRATER; Crater lake, USA; Crvenka; Dadiwan; Davidsmosse; Debrecen-Alfoldi-brickyard; Delta-Junction; Density, dry bulk; Density, dry bulk, standard deviation; Depth, sediment/rock, standard deviation; Dome C; Dome C, Antarctica; Draftinge-Mosse; DRILL; Drilling/drill rig; Duanjiapo-Lantian-2; Duowa; Dust flux; Dust mass fraction 〈 10 µm, fractional; Dust mass fraction 〈 10 µm, standard deviation; E26-1; EDC; Emperor Seamount; EN06601; EN066-21GGC; EN066-29GGC; EN066-38PG; Endeavor; ENV; Environmental investigation; EPICA Dome C; Equatorial East Pacific; Equatorial Pacific; Event label; Finnhojden; Flag; Focun; Fox/Goldstream; Ganzi; Gaobai; Gaolanshan; GC; GeoB1515-1; GeoB1523-1; GGC37-VG19; GISP; GISP2; Global River Discharge; Glomar Challenger; Gorina; Grashojden; Gravity corer; Gravity corer (Kiel type); Greenland; Gulf of Aden; Halfway-House; Hani; Harberton; Hoalin; Hokberg; Holocene; Hongtushan; Hookers-Point_Malvinas-Islands; Huanglong; Huangshan; Huangyanghe; Huanxian; Hungary; Hura-Village; Ice_core_diverse; Ice core; ICEDRILL; Ice drill; Ile-du-Havre; IMAGES III - IPHIS; India; Indian Ocean; INDIEN SUD 2; Indonesia; Iran; Irig; Israel; Jiezicun-Jiezhichun; Jikariya-Lake; Jingbian-I; Jingbian-II; Jingchuan; Jingyuan; Jiuzhoutai-Lanzhou; Joides Resolution; JPC; Jumbo Piston Core; Kajemarum-Oasis; KAL; Kalat-e-Naderi-a; Karukinka; Kasten corer; Kazakhstan; Kenai-1; Kenai-2; Kirpichny; KL; KL11_sed; KL15_sed; KL23_sed; KN11002; Knorr; KNR110-55; KNR110-58; KNR110-82; KNR73-4PC; KS15-5; Kuma; Kurortne; Kyrgyz; La_Grande_coreLG2; Lake sediment core; Landa; Laoguantai; Last Glacial Maximum; LATITUDE; Leg138; Leg145; Leg177; Leg90; Leninsk-I; Le Suroît; LG2; LGG_loess; Lijiayuan; Likhvin; Lingtai; LJW10; Loess; LOESS; Loess profile; LONGITUDE; Lozada; Lozhok; LRC_loess; Lujiaowan; Lynch-Crater; M16/2; Majiayuan; Malvinas-Islands; Marine Sediment Core; Marion Dufresne (1972); Marion Dufresne (1995); Matanuska-Valley; MC1208-17PC; MC1208-31BB; MD03-2705; MD106; MD11-3357; MD134; MD185; MD88-769; MD88-770; MD94-102; MD94-104; MD972138; MD97-2138; ME0005-24JC; Melville; Mengdashan; Meteor (1986); Mfabeni-MF4-12; Misten; ML1208-37BB; MOHOS; Mohos, Romania; Mt-Harif; MUC; Mujiayuan-Wupu; MultiCorer; MV1014-02-17JC; MW91-9-GGC48; Namibia; Naponee; Native-Companion-Lagoon; Neor-Lake; New Zealand; NGRIP2; Nigeria; Nilka; Ningxian; NLT17; Nome; North Atlantic; NorthGRIP; North Pacific Ocean; OC437-07; OC437-07_GC27; OC437-07_GC37; OC437-07_GC49; OC437-07_GC66; OC437-07_GC68; Oceanus; Opuwo_Namibia; OWR; P7; Pacific Ocean; PALEOCINAT; Palouse; Panama Basin; PC; Peat bog; PEATC; Peat corer; Pegwell-Bay; Peters; Phorphyry; PICABIA; Piston corer; Piston corer (BGR type); PLDS-007G; PLDS-1; Pleiades; Polarstern; Primorskoje; PS2498-1; PS28; PS28/304; PS75/059-2; PS75/100-4; PS75 BIPOMAC; Qilian-Shan; Qilian-Shan-section; Qumalai-2; Qumalai-5; Ramat-Beka; Ramnicu-Sarat; RC08; RC08-102; RC13; RC13-140; RC13-189; RC14; RC14-105; RC14-121; RC17; RC17-177; RC24; RC24-1; RC24-12; RC24-7; RC27; RC27-42; Red Sea; Reference/source; Renjiahutong; RGS; Rio-Rubens; River gauging station; RNDB-74P; Robat-e-Khakestari; Robert Conrad; Romania; Romantic; Roxolany; RPC; Rudak; Russia; Russian peat corer; SA6_5; Sagwon; Sampling/drilling ice; Santa-Victoria; SeaLevel; SEDCO; Sediment corer; Semlac; Serbia; Shankerpora; Shaozhuang; Shaw-Creek-Flats; Shiguanzhi; Sihailongwan; SL; Slope-Mt-Brooks-Range; SO136; SO136_038GC-6; SO14-08-05; Sonne; South-Africa; South Atlantic; South Atlantic Ocean; Southern Ocean; South Pacific; South Pacific/Tasman Sea/PLATEAU; South Pacific Ocean; Southwest Pacific Ocean; Spain; Stari-Slankamen; St-Michael-Island-Puyuk-Lake; St-Michael-Island-Zagoskin-Lake; Store_Mosse; SU90-03; Sweden; SW Indian Ocean; Tajik-Basin; Tajikistan; TASQWA; Taul-Muced; TGS; Thickness; Thomas G. Thompson; Tide gauge station; TLD_loess; TLD16; TN057-21; TN057-6-PC4; Tongde; Tortugas-I; TR163-19; TR163-22; TREE; Tree ring sampling; TT013; TT013_18; TT013_72; TT013-MC19; TT013-MC27; Tuxiangdao; Type; Ukraine; Uncertainty; United Kingdom; Upper-Snowy-Core; USA; Uzbekistan; V19; V19-29; V20; V20-122; V20-234; V21; V21-146; V21-29; V22; V22-182; V28; V28-203; V30; V30-40; V32; V32-126; Valikhanov; Veliki-Surduk; Vema; Vostok; WDD; Weinan; Weinan-2; Weinan-Yangguo; WIND; WIND-28K; Wulipu; XEB_loess; Xiadongcun-Jixian; Xiala; Xiangpishan; Xiaoerbulake; Xifeng; Xifeng-II; Xinghai; Xining-Dadunling; Xistral-Mountains; Xueyuan; Xunyi; XY17_loess; XZP; Y69-106P; Y69-71P; Y9; Y9_core; YALOC69; Yanchang; Yaoxian-I; Yaoxian-II-YX; Yaquina; Yellibadragh; Yichuan; Yinwan; Yuanbao; Yuanpu-Yuanbo-Xinzhuangyuan; Yuexi; Zeketai; Zhaitang; Zhangjiayuan; Zhaojiachuan; Zhenbeitai; Zhouqu; ZS_loess
    Type: Dataset
    Format: text/tab-separated-values, 4965 data points
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  • 4
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    Last Glacial Maximum (LGM) paleo-dust record (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-08
    Keywords: 0038PG; 11071651 Pistoncore2; 11191756 Piston core 8, TT013-PC72; 12JPC; 130-806; 138-848B; 138-849A; 138-850A; 138-851E; 138-852A; 138-853B; 14MC-13BB; 21MC_20BB; 26MC-25BB; 29MC-28BB; 33MC_32BB; 39MC-36BB; 74KL_sed; 90-593; Accumulation rate, dust, per year; Accumulation rate, dust, per year, size fraction 〈 10 µm; Accumulation rate, dust, per year, size fraction 〈 10 µm, standard deviation; Accumulation rate, dust, per year, standard deviation; Accumulation rate, sediment, mean per year; Accumulation rate, sediment, standard deviation; Achenheim; Aeolian components, fractional; Aeolian components, standard deviation; Age, maximum/old; Age, maximum/old, standard deviation; Age, minimum/young; Age, minimum/young, standard deviation; Albertirsa; Angola Basin; Antarctica; ANT-XI/2; ANT-XXVI/2; APSARA4; Area/locality; Argentina; Atlantic Ocean; Australia; Austria; BC; BCCPT; Beiguoyuan; Beiyuantou; Belgium; Bellevue; Bignell-Hill; Boeckingen; Boenningheim; Borehole-OT-1; Box corer; Caijiagou; calculated, 1 sigma; CALYPSO; CALYPSO2; Calypso Corer; Calypso Corer II; Calypso Square Core System; Canteen-Creek; Canterbury-Plains; CASQS; CD129; Charles Darwin; China; Chumbur-Kosa; COMPCORE; Composite Core; Core; CORE; Core-G39; Crawford; Crvenka; Czech Republic; Darai-Kalon; Debrecen-Alfoldi-brickyard; Density, dry bulk; Density, dry bulk, standard deviation; Depth, sediment/rock, standard deviation; Dolni-Vestonice; Dome C; Dome C, Antarctica; DRILL; Drilling/drill rig; Dunaszekcso; Dunlap; Dust flux; Dust mass fraction 〈 10 µm, fractional; Dust mass fraction 〈 10 µm, standard deviation; E26-1; EDC; Egg-Lake; EN06601; EN066-21GGC; EN066-29GGC; EN066-38PG; Endeavor; EPICA Dome C; Equatorial East Pacific; Equatorial Pacific; Eustis; Event label; Flag; France; Gaolanshan; GC; GeoB1035-1; GeoB3808-6; Germany; GISP; GISP2; Glomar Challenger; Gorina; Gravity corer; Gravity corer (Kiel type); Greenland; Gulang; Gulf of Aden; Halfway-House; Halyc; Heimugou-1; Hoalin; Holocene; Huangshan; Hummeston; Hungary; Ice_core_diverse; Ice core; ICEDRILL; Ice drill; IMAGES III - IPHIS; IMAGES XV - Pachiderme; India; Indian Ocean; INDIEN SUD 2; Iran; Irig; Iskitim; Israel; Jingyuan; Jingyuan-II; Joides Resolution; JPC; Jumbo Piston Core; KAL; Kalat-e-Naderi-a; Kasten corer; Katymar-brickyard; Kazakhstan; Keller-Farm; Kisiljevo; KL; KL11_sed; KL15_sed; KL23_sed; KNR73-3PC; KNR73-4PC; KS15-5; Lake sediment core; Last Glacial Maximum; LATITUDE; Leg130; Leg138; Leg90; Le Suroît; Lihkvin; Lingezhuang; Liujiapo-1; Loess; LOESS; Loess profile; LONGITUDE; Loveland; Lowland-Point; Lozada; Lozhok; M34/3; M45/5_86; M45/5_90; M45/5a; M6/6; Madaras-brickyard; Majiayuan; Marine Sediment Core; Marion Dufresne (1972); Marion Dufresne (1995); MC1208-17PC; MC1208-31BB; McCook; MD03-2705; MD07-3076; MD07-3076Q; MD106; MD11-3357; MD134; MD159; MD185; MD88-769; MD88-770; MD94-102; MD94-104; MD972138; MD97-2138; ME0005-24JC; Melville; Mende; Meteor (1986); Mid Atlantic Ridge; Mitoc-Malu-Galben; ML1208-37BB; Molodova-V; Morrison; MSN; MtCass-E2a; MUC; MultiCorer; Multiple opening/closing net; MV1014-02-17JC; MW91-9-GGC48; Natchez; Native-Companion-Lagoon; Neka; New Zealand; NGRIP2; Nilka; North Atlantic; NorthGRIP; North Pacific Ocean; Nosak; Now-Deh; Nussloch; OC437-07; OC437-07_GC27; OC437-07_GC49; OCE437-07-GC68; Oceanus; P7; Pacific Ocean; PALEOCINAT; Panama Basin; Panama-Bentley; PC; Peat bog; Pegwell-Bay; PICABIA; Piston corer; Piston corer (BGR type); PLDS-007G; PLDS-1; Pleiades; Polarstern; Primorskoje; PS2498-1; PS28; PS28/304; PS75/059-2; PS75/100-4; PS75 BIPOMAC; Ramat-Beka; Rapids-City; RC08; RC08-102; RC11; RC1112; RC11-210; RC11-238; RC13; RC13-114; RC13-140; RC13-189; RC14; RC14-105; RC17; RC17-177; RC24; RC24-1; RC24-12; RC24-7; RC27; RC27-42; Red Sea; Reference/source; Remicourt; Remizovka; RNDB-PC13; Robert Conrad; Rocourt; Romania; Romont-East; Russia; Salt-Creek; Sampling/drilling ice; SEDCO; Sediment corer; Semlac; Serbia; Shankerpora; Shaozhuang; Sihailongwan; SL; SO136; SO136_038GC-6; SO14-08-05; Sonne; South Atlantic; South Atlantic Ocean; Southern Ocean; South Pacific; South Pacific/Tasman Sea/PLATEAU; South Pacific Ocean; Southwest Pacific Ocean; Stari-Slankamen; St-Michael-Island-Zagoskin-Lake; SU90-03; SU90-08; SU90-09; SU90-11; Surduk-2; SW Indian Ocean; Szeged-Othalom-I; Tajikistan; TASQWA; Thickness; Thomas G. Thompson; Thomas G. Thompson (1964); TLD_loess; TN057-21; TN057-6-PC4; Tortugas-II; Toshan; TR163-19; TR163-22; TR163-31; TT013; TT013_18; TT013_72; TT013-MC112; TT013-MC34; TT013-MC97; TT154-10; TTXXX; Type; Ukraine; Uncertainty; United Kingdom; USA; V19; V19-28; V20; V20-122; V20-234; V21; V21-146; V21-40; V22; V22-182; V28; V28-203; V28-238; V30; V30-40; V32; V32-126; V32-128; Valikhanov; Veliki-Surduk; Vema; Vicksburg_loess; Vostok; VTR01-10GGC; W8709A; W8709A-1; Wecoma; Weinan; West-Helena; Willendorf-Il; WIND; WIND-28K; XEB_loess; Xiaoerbulake; Xifeng; Xifeng-II; Xueyuan; Xunyi; XY17_loess; XZP; Y69-106P; Y69-71P; Y9; Y9_core; YALOC69; Yaoxian-I; Yaquina; Yuanbao; Yuanpu-Yuanbo; Zeketai; Zhaosu-Boma; Zhongjiacai; Zhouqu; ZS_loess
    Type: Dataset
    Format: text/tab-separated-values, 3347 data points
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  • 5
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    Decomposition of physical processes controlling EASM precipitation changes during the mid-Piacenzian: new insights into data–model integration (2024)
    Springer Science and Business Media LLC
    In:  EPIC3npj Climate and Atmospheric Science, Springer Science and Business Media LLC, 7(1), ISSN: 2397-3722
    Details
    Publication Date: 2024-06-08
    Description: The mid-Piacenzian warm period (MPWP, ~3.264–3.025 Ma) has gained widespread interest due to its partial analogy with future climate. However, quantitative data–model comparison of East Asian Summer Monsoon (EASM) precipitation during the MPWP is relatively rare, especially due to problems in decoding the imprint of physical processes to climate signals in the records. In this study, pollen-based precipitation records are reconstructed and compared to the multi-model ensemble mean of the Pliocene Model Intercomparison Project Phase 2 (PlioMIP2). We find spatially consistent precipitation increase in most simulations but a spatially divergent change in MPWP records. We reconcile proxy data and simulation by decomposing physical processes that control precipitation. Our results 1) reveal thermodynamic control of an overall enhancement of EASM precipitation and 2) highlight a distinct control of thermodynamic and dynamical processes on increases of tropical and subtropical EASM precipitation, reflecting the two pathways of water vapor supply that enhance EASM precipitation, respectively.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 6
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    A taxonomic revision of the sponge-associated genus Thoracactis Gravier, 1918 (Anthozoa: Zoantharia) based on an integrated approach (2024)
    In:  Contributions to Zoology vol. 93, pp. 229-251
    Details
    Publication Date: 2024-06-08
    Description: The integrated approach of molecular phylogenetic and morphological analyses has revolutionized the systematics and our understanding of the evolutionary relationships of marine taxa. One such group is the hexacorallian order Zoantharia Rafinesque, 1815. The monotypic genus Thoracactis Gravier, 1918 has been little investigated since its placement within the order Zoantharia more than 100 years ago. Here, we examined museum specimens collected from the Cape Verde Islands (eastern Atlantic) and newly collected specimens from Brazil (southwestern Atlantic), using a combined molecular and morphological approach. Our results conclusively show Thoracactis to be referable to the family Parazoanthidae. Morphological data show that Thoracactis topsenti Gravier, 1918, the type species of this monotypic genus, has a cyclically transitional arrangement of its sphincter muscle, and this arrangement has previously been reported from the Parazoanthidae. Thoracactis can be distinguished from other hexasterophoran glass-sponge-associated genera (Churabana Kise, Montenegro & Reimer, 2022, Parachurabana Kise, 2023, and Vitrumanthus Kise, Montenegro & Reimer, 2022) by a combination of morphological, ecological and molecular phylogenetic data. In addition, molecular phylogenetic analyses clearly indicate that Thoracactis topsenti is placed within Parazoanthidae. These results are yet another demonstration of the utility of comprehensive combined approaches. From now, research attention should focus on the revision of remaining taxonomic questions within the family Epizoanthidae, with the goal of a comprehensively revised suborder Macrocnemina within reach.
    Keywords: glass sponge ‒ molecular phylogenetics ‒ sphincter muscle ‒ topotypes ‒ zoantharian
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 7
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    Macroevolutionary Dynamics in Micro-organisms: Generalists Give Rise to Specialists Across Biomes in the Ubiquitous Bacterial Phylum Myxococcota (2024)
    In:  Molecular Biology and Evolution vol. 41 no. 5
    Details
    Publication Date: 2024-06-08
    Keywords: macroevolution ; microbes ; prokaryotes ; habitat transitions ; specialization ; diversification ; myxobacteria ; comparative phylogenetics
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 8
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    One-dimensional cloud-top or surface brightness temperature with 20 Hz temporal resolution derived at flight altitude from VELOX-KT19 during the HALO-(AC)³ field campaign (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-07
    Description: During the HALO-(AC)³ campaign in March-April 2022 airborne observations were performed with the High Altitude LOng range research aircraft (HALO) covering the Fram Strait and north polar regions. The flight tracks covered open ocean areas, the marginal sea ice zone, and closed sea ice cover. Furthermore, cloud conditions were observed during air mass transformation events as marine cold air outbreaks and warm air intrusions. On HALO, thermal infrared radiance, spectrally integrated over the wavelength range from 9.6 µm to 11.5 µm in nadir direction (field of view of 2.3°), was measured by the infrared pyrometer KT19 (model KT19.85 II). The given dataset comprises brightness temperature measurements with a temporal resolution of 20 Hz, provided for 16 HALO research flights (RF) during HALO-(AC)³.
    Keywords: AC; AC3; Aircraft; Arctic Amplification; Atmospheric and Earth System Research with HALO – High Altitude and Long Range Research Aircraft; brightness temperature; Date/Time of event; Event label; HALO; HALO_220313a; HALO_220314a; HALO_220315a; HALO_220316a; HALO_220320a; HALO_220321a; HALO_220328a; HALO_220329a; HALO_220330a; HALO_220401a; HALO_220404a; HALO_220407a; HALO_220408a; HALO_220410a; HALO_220411a; HALO_220412a; HALO_AC3; HALO-(AC)³; Infrared radiation pyrometer, Heitronics, KT19.85II; netCDF file; netCDF file (File Size); Optional event label; RF03; RF04; RF05; RF06; RF07; RF08; RF09; RF10; RF11; RF12; RF13; RF14; RF15; RF16; RF17; RF18; SPP1294
    Type: Dataset
    Format: text/tab-separated-values, 16 data points
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  • 9
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    Varve thickness record of Nautajärvi (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-07
    Description: The sedimentary record of Nautajärvi, a lake in Finland, is 6.6 m long and covers uninterruptedly annual laminations (varves) sediments back to 9852 a BP. The isolation of Lake Nautajärvi from the Baltic Sea basin occurred at 9625 a BP, and since then the rate of sedimentation has remained relatively stable, averaging 0.6–0.7 mm yr-1. Varves consist of wo layers, a dark biogenic layer of particulate to fine-grained organic matter deposited in summer and a pale clastic layer of detrital origin linked to snowmelt and spring discharge intensity, which depend on the severity and snow storage during the winter. This dataset contains the varve (annual) thickness record and thickness of the seasonal layers published in Ojala and Alenius (2005). Data were collected in 1999-2003 and covers a time interval from present to 9852 a BP. Data are at seasonal to annual resolution. Detailed microfacies analysis, varve counting, and varve and laminae thickness measurements were performed on a scanning electron microscope back-scattered electron images (SEM BSEI), X-ray radiographs, and digital line-scan image analysis. Varves were analysed in between 200 marker horizons 5-6 times using different media, and deviations between counts were registered to represent the margin of error associated within the varve chronology.
    Keywords: Age; AGE; DEPTH, sediment/rock; Finland; Holocene; NAU_A; NAU_As4; NAU_C; NAU_JNA1; Nautajärvi; PC; Piston corer; Varve age; varve chronology; varve thickness; Varve thickness; Varve thickness, summer sub-layer; Varve thickness, winter sub-layer; Wedge freeze-corer
    Type: Dataset
    Format: text/tab-separated-values, 49490 data points
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  • 10
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    Meteorological synoptical observations from station Fukuoka (2023-08) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-06-07
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; FUA; Fukuoka; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 223200 data points
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