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  • 1
    Publication Date: 2024-06-15
    Description: New paleomagnetic and paleontologic data from Pacific DSDP Sites 463 and 167 define the magnetic reversals that predate the Cretaceous Normal Polarity Superchron (K-N). Data from Mid-Pacific Mountain Site 463 provide the first definition of polarity chron M0 in the Pacific deep-sea sedimentary record. Foraminiferal biostratigraphy suggests that polarity chron M0 is contained entirely within the lower Aptian Hedbergella similis Zone, in agreement with foraminiferal data from the Italian Southern Alps and Atlantic Ocean. Nannofossil assemblages also suggest an early Aptian age for polarity chron M0, contrary to results from the Italian Umbrian Apennines and Southern Alps, which place polarity chron M0 on the Barremian-Aptian boundary. Biostratigraphic dating discrepancies caused by the time-transgressive, preservational, or provincial nature of paleontological species might be reconciled by the use of magnetostratigraphy, specifically polarity chron M0 which lies close to the Barremian-Aptian boundary. At Magellan Rise Site 167, five reversed polarity zones are recorded in Hauterivian to Aptian sediments. Correlation with M-anomalies is complicated by synsedimentary and postsedimentary sliding about 25 m.y. after basement formation, producing gaps in, and duplications of, the stratigraphic sequence. The magnitude and timing of such sliding must be addressed when evaluating the stratigraphy of these oceanic-rise environments.
    Keywords: 17-167; 62-463; Deep Sea Drilling Project; DRILL; Drilling/drill rig; DSDP; Glomar Challenger; Leg17; Leg62; North Pacific/CONT RISE; North Pacific/SEAMOUNT
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 2
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    Unknown
    PANGAEA
    In:  Supplement to: Wilson, Moyra E J; Hirano, Satoshi; Fergusson, Christopher L; Steurer, Joan; Underwood, Michael B (2003): Data report: Sedimentological and petrographic characteristics of volcanic ashes and siliceous claysontes (altered ashes) from Sites 1173, 1174, and 1177, Leg 190. In: Mikada, H; Moore, GF; Taira, A; Becker, K; Moore, JC; Klaus, A (eds.) Proceedings of the Ocean Drilling Program, Scientific Results, College Station, TX (Ocean Drilling Program), 190/196, 1-9, https://doi.org/10.2973/odp.proc.sr.190196.204.2003
    Publication Date: 2024-06-15
    Description: Leg 190 was the first of a two-leg program across the Nankai accretionary prism and Trough, offshore Japan, aiming to evaluate existing models for prism evolution and to constrain syntectonic sedimentation, deformation styles, mechanical properties, and prism hydrology (Moore, Taira, Klaus, et al., 2001; Moore et al., 2001). More than 400 volcanic ash and siliceous claystone (altered ash) layers were penetrated and sampled during drilling of the six sites from two transects across the accretionary prism (Sites 1173-1178). In sites from the subducting Shikoku Basin (Sites 1173 and 1177) and in the trench axis (Site 1174), recognition of ash layers and diagenetically altered ashes was initially important in defining major lithostratigraphic units. However, it is clear that understanding the diagenesis of the volcanic ashes has considerable implications for prism evolution, mechanical properties, prism hydrology, geochemistry, and fluid flow in the accretionary prism and associated subducting sediments (cf. Masuda et al., 1996, doi 10.1346/CCMN.1996.0440402). Particle size, chemical composition, temperature, depth of burial, and time are all thought to be factors that may affect volcanic ash diagenesis and preservation (Kuramoto et al., 1992, doi:10.2973/odp.proc.sr.127128-2.235.1992; Underwood et al., 1993, doi:10.2973/odp.proc.sr.131.137.1993). The overall aim of this research is to evaluate factors influencing volcanic ash diagenesis in the Nankai Trough area. This data report presents just the results of the sedimentological and petrographic analysis of the volcanic ashes and siliceous claystones from Sites 1173, 1174, and 1177. It is anticipated that when the results of additional geochemical analysis of these lithologies is available a more meaningful evaluation of factors influencing volcanic ash alteration will be possible.
    Keywords: 190-1173A; 190-1174A; 190-1174B; 190-1177A; DRILL; Drilling/drill rig; Joides Resolution; Leg190; Ocean Drilling Program; ODP; Philippine Sea
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 3
    Publication Date: 2024-06-15
    Description: Raw multibeam bathymetry data were collected aboard RV MARIA S. MERIAN during cruise MSM123 using a Kongsberg EM 122 multibeam echosounder. The expedition took place during 2023-11-23 - 2023-12-27 from Halifax (Canada) to St. John's (Canada) in the Labrador Sea. Data were recorded in the EEZs of Brasil and Cape Verde and outside. The aim of MSM123 is to understand and quantify bubble-mediated gas exchange mechanisms in the Labrador Sea (BELS). Sound velocity profiles (SVP) were applied on the data for calibration. Please see environmental data and the cruise report for details. The data are unprocessed and can therefore contain incorrect depth measurements (artifacts) if not further processed. Note that refraction errors may occur when no proper SVP is applied. Acquisition and provision of the data are part of the DAM Underway Project and are according to the FAIR principles.
    Keywords: Bathymetry; BELS; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; CTD/Rosette; CTD-RO; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; EM122; EM122 multibeam echosounder; Event label; Extracted from file; Extracted with MB-System; File content; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; Maria S. Merian; MSM123; MSM123_0_Underway-5; MSM123_3-1; Multibeam; Number of pings; Ship speed; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude
    Type: Dataset
    Format: text/tab-separated-values, 12226 data points
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  • 4
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    Unknown
    PANGAEA
    In:  Instituto Antártico Chileno, Punta Arenas, Chile & Instituto Antártico Argentino, Buenos Aires, Argentina
    Publication Date: 2024-06-15
    Description: We present here a new geological map of Potter Peninsula (King George Island, South Shetland Islands). Like on adjacent Barton Peninsula, the morphology on Potter Peninsula is predominantly characterized by a glacial landscape with abrasion platforms offshore, in parts steep cliffs along the coast, and a rather smooth, hilly countryside in the interior. Potter Peninsula forms part of the downthrown Warszawa Block. The volcanic sequence cropping out here belongs to the King George Island Supergroup, with an observed local minimum thickness of approx. 90 m (Kraus 2005). The most prominent morphological feature is Three Brothers Hill (196 m), a well known andesitic plug showing conspicuous columnar jointing. It marks the final stage of activity of a Paleogene volcano, whose eruption products (lava flows and pyroclastic rocks), together with hypabyssal intrusions related to the volcanism, make up most of the lithology observed on Potter Peninsula (Kraus 2005). The Three Brothers Hill volcanic complex is eroded down to its deepest levels. Thus, the stratigraphically deepest units from the initial phase of volcanic activity are cropping out in some parts (Kraus & del Valle, in Wienke et al. 2008). The lithology on Potter Peninsula comprises lava flows (~50%), pyroclastic rocks (ash-fallout, pyroclastic flow deposits, volcanic breccia and agglomerates, ~30%) and hypabyssal intrusions (dykes, sills and small subvolcanic intrusive bodies, ~20%). 40Ar/39Ar datings carried out on magmatic dykes from Potter Peninsula indicate a short, but intense intrusive event during the Lutetian (Kraus et al. 2007).
    Keywords: IMCOAST/IMCONet; Impact of climate induced glacier melt on marine coastal systems, Antarctica
    Type: Dataset
    Format: application/pdf, 1.9 MBytes
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  • 5
    Publication Date: 2024-06-15
    Description: Raw multibeam bathymetry data were collected aboard RV METEOR during cruise M189 using a Kongsberg EM 122 multibeam echosounder. The expedition took place during 16.04.2023-13.05.2023 from Walvis Bay to Walvis Bay (Namibia) in the Central and Southern Atlantic Ocean. The main objective of M189 was to measure the variability of the circulation and the coastal upwelling off Angola and Namibia. Data were recorded within the Namibia and Angola EEZ. Sound velocity profiles (SVP) were applied on the data for calibration. Please see environmental data and the cruise report for details. The data are unprocessed and can therefore contain incorrect depth measurements (artifacts) if not further processed. Note that refraction errors may occur when no proper SVP is applied. Acquisition and provision of the data are part of the DAM Underway Project and published according to the FAIR principles.
    Keywords: BANINO; Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; EM122; EM122 multibeam echosounder; Event label; Extracted from file; Extracted with MB-System; File content; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; M189; M189_0_Underway-3; Meteor (1986); Multibeam Echosounder; Number of pings; Ship speed; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude
    Type: Dataset
    Format: text/tab-separated-values, 17814 data points
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  • 6
    Publication Date: 2024-06-15
    Description: Raw multibeam bathymetry data were collected aboard RV Meteor during cruise M183 using a Kongsberg EM122 multibeam echosounder. The expedition took place during 13.07.2022 and 09.08.2022 from Ponta Delgada (Portugal) – St. John's (Canada) in the Central and Northern Atlantic Ocean. Data were recorded outside EEZs. Sound velocity profiles (SVP) were applied on the data for calibration. Please see environmental data and the cruise report for details. The data are unprocessed and can therefore contain incorrect depth measurements (artifacts) if not further processed. Note that refraction errors may occur when no proper SVP is applied. The main aim of M183 is to locate promising areas for future MeBo drilling and ridge flank observatory science. Acquisition and provision of the data are part of the DAM Underway Project and published according to the FAIR principles..
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; DAM; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; EM122; EM122 multibeam echosounder; Event label; Extracted from file; Extracted with MB-System; File content; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; M183; M183_0_Underway-2; Meteor (1986); Multibeam; Number of pings; raw data; RIFLOR_1; Ship speed; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude
    Type: Dataset
    Format: text/tab-separated-values, 6356 data points
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  • 7
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    Unknown
    PANGAEA
    In:  Supplement to: Gould, Jessica; Kienast, Markus; Dowd, M; Schefuß, Enno (2019): An open-ocean assessment of alkenone δD as a paleo-salinity proxy. Geochimica et Cosmochimica Acta, 246, 478-497, https://doi.org/10.1016/j.gca.2018.12.004
    Publication Date: 2024-06-15
    Description: Sea surface salinity (SSS) is the least constrained major variable of the past (paleo) ocean but is fundamental in controlling the density of seawater and thus large-scale ocean circulation. The hydrogen isotopic composition (δD) of non-exchangeable hydrogen of algal lipids, specifically alkenones, has been proposed as a promising new proxy for paleo SSS. The δD of surface seawater is correlated with SSS, and laboratory culture studies have shown the δD of algal growth water to be reflected in the δD of alkenones. However, a large-scale field study testing the validity of this proxy is still lacking. Here we present the δD of open-ocean Atlantic and Pacific surface waters and coincident δD of alkenones sampled by underway filtration. Two transects of approximately 100° latitude in the Atlantic Ocean and more than 50° latitude in the Western Pacific sample much of the range of open ocean salinities and seawater δD, and thus allow probing the relationship between δD of seawater and alkenones. Overall, the open ocean δD alkenone data correlate significantly with SSS, and also agree remarkably well with δD water vs δD alkenone regressions developed from culture studies. Subtle deviations from these regressions are discussed in the context of physiological factors as recorded in the carbon isotopic composition of alkenones. In a best-case scenario, the data presented here suggest that SSS variations as low as 1.2 can be reconstructed from alkenone δD.
    Keywords: Alkenone, C37; Alkenone, C37, δ13C; Alkenone, C37, δ13C, standard deviation; Alkenone, unsaturation index UK'37; Alkenones; AMT_1; AMT_10; AMT_11; AMT_12; AMT_13; AMT_14; AMT_15; AMT_17; AMT_18; AMT_19; AMT_2; AMT_20; AMT_21; AMT_22; AMT_23; AMT_25; AMT_27; AMT_28; AMT_29; AMT_3; AMT_30; AMT_31; AMT_32; AMT_34; AMT_35; AMT_36; AMT_37; AMT_38; AMT_4; AMT_40; AMT_41; AMT_42; AMT_43; AMT_45; AMT_46; AMT_47; AMT_48; AMT_49; AMT_5; AMT_50; AMT_52; AMT_54; AMT_6; AMT_60; AMT_8; AMT_9; AMT20; Comment; Coral Sea; EISPAC/WESTWIND; Event label; hydrogen isotopic composition; Isotopic fractionation factor; Isotopic fractionation factor, standard deviation; James Cook; Latitude of event; Longitude of event; open-ocean; proxy calibration; Sample comment; Sea surface salinity; Sea surface temperature; SO228; SO256; SO256_1; SO256_10; SO256_12; SO256_17; SO256_19; SO256_2; SO256_20; SO256_21; SO256_23; SO256_24; SO256_25; SO256_3; SO256_4; Sonne; Sonne_2; TACTEAC; Tasman Sea; Torres Strait; Underway water sampling; UWS; WEP1; WEP30; WEP31; WEP33; WEP37; WEP39; WEP40; WEP41; WEP42; WEP43; δ Deuterium, alkenone, C37; δ Deuterium, alkenone, C37, standard deviation; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 672 data points
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  • 8
    Publication Date: 2024-06-15
    Description: Raw multibeam bathymetry data were collected aboard RV METEOR during cruise M186 using a Kongsberg EM 122 multibeam echosounder. The expedition took place during 2022-11-29 (Lisbon) – 2022-12-31 (Las Palmas) in the Northern Atlantic Ocean. The main objective of M186 was to explore fluid dynamics of sediment hosted hydrothermal fluid seeps on the Azores Plateau. Data were recorded within the Azores EEZ. Sound velocity profiles (SVP) were applied on the data for calibration. Please see environmental data and the cruise report for details. The data are unprocessed and can therefore contain incorrect depth measurements (artifacts) if not further processed. Note that refraction errors may occur when no proper SVP is applied. Acquisition and provision of the data are part of the DAM Underway Project and published according to the FAIR principles..
    Keywords: Azores Hot Vents; Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; DAM; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; EM122; Event label; Extracted from file; Extracted with MB-System; File content; KEM122; Kongsberg datagram raw file name; KONGSBERG EM122; LATITUDE; LONGITUDE; M186; M186_0_Underway-2; Meteor (1986); Multibeam; Number of pings; raw data; Ship speed; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude
    Type: Dataset
    Format: text/tab-separated-values, 10822 data points
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  • 9
    Publication Date: 2024-06-15
    Description: Raw multibeam bathymetry data were collected aboard RV METEOR during cruise M186 using a Kongsberg EM 710 multibeam echosounder. The expedition took place during 2022-11-29 (Lisbon) – 2022-12-31 (Las Palmas) in the Northern Atlantic Ocean. The main objective of M186 was to explore fluid dynamics of sediment hosted hydrothermal fluid seeps on the Azores Plateau. Data were recorded outside EEZs. Sound velocity profiles (SVP) were applied on the data for calibration. Please see environmental data and the cruise report for details. The data are unprocessed and can therefore contain incorrect depth measurements (artifacts) if not further processed. Note that refraction errors may occur when no proper SVP is applied. Acquisition and provision of the data are part of the DAM Underway Project and published according to the FAIR principles.
    Keywords: Azores Hot Vents; Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; DAM; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; EM710; EM710 multibeam echosounder; Event label; Extracted from file; Extracted with MB-System; File content; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; M186; M186_0_Underway-3; Meteor (1986); Multibeam; Number of pings; raw data; Ship speed; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude
    Type: Dataset
    Format: text/tab-separated-values, 1298 data points
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  • 10
    Publication Date: 2024-06-15
    Description: The objective of this study is to determine the effects of ocean acidification (OA) on the survival, development and swimming behaviour of embryos of the deep-sea coral Desmophyllum pertusum (syn. Lophelia pertusa). Upon spawning, fertilized embryos were collected and exposed to two pCO2 treatments corresponding to present pCO2 conditions (400 ppm) and future pCO2 conditions predicted under scenario IPCC RCP8.5 for the end of the century (1000 ppm). We monitored survival daily and we measured swimming velocity on day 9 after spawning. Temperature and pH were measured every 24h, salinity was measured every other day, and water samples were collected during the first and last day of the experiment to determine total alkalinity (TA). This dataset includes data on the effects of ocean acidification on swimming velocity of larvae of the deep-sea coral Desmophyllum pertusum. Embryos were exposed to two acidification (pCO2) treatments: present pCO2 conditions (400 ppm) and future pCO2 conditions predicted under RCP8.5 for the end of the century (1000 ppm). After rearing the embryos in the respective treatments for nine days, we recorded the swimming behaviour of larvae with a video camera. Videos were analyzed with manual particle tracking, and here we report the swimming velocity and total traveled distance of larvae in each experimental treatment.
    Keywords: ASSEMBLE_Plus; Association of European Marine Biological Laboratories Expanded; Climate change; cold-water coral; DATE/TIME; Deep sea; early life history; early life stages; iAtlantic; Image analysis, NIH ImageJ, MTrackJ plugin; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Laboratory experiment; Larvae; larval behaviour; physiology; Remote operated vehicle; ROV; Sample ID; Species; Species, unique identification (Semantic URI); Species, unique identification (URI); Speed, swimming; Swim distance; Time in hours; Tisler_Sampling_Lophelia_pertusa_4; Tisler_Sampling_Lophelia_pertusa_6; Tisler Reef, Skagerrak; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 480 data points
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  • 11
    Publication Date: 2024-06-15
    Description: The objective of this study is to determine the effects of ocean acidification (OA) on the survival, development and swimming behaviour of embryos of the deep-sea coral Desmophyllum pertusum (syn. Lophelia pertusa). Upon spawning, fertilized embryos were collected and exposed to two pCO2 treatments corresponding to present pCO2 conditions (400 ppm) and future pCO2 conditions predicted under scenario IPCC RCP8.5 for the end of the century (1000 ppm). We monitored survival daily and we measured swimming velocity on day 9 after spawning. Temperature and pH were measured every 24h, salinity was measured every other day, and water samples were collected during the first and last day of the experiment to determine total alkalinity (TA). This dataset includes data on the effects of OA on embryo and larval survival of the deep-sea coral Desmophyllum pertusum. Embryos (age: first cleavage and 2 cell stage) were exposed to two acidification (pCO2) treatments: present pCO2 conditions (400 ppm) and future pCO2 conditions predicted under RCP8.5 for the end of the century (1000 ppm) and reared for a total of nine days. We counted embryos and larvae daily to determine larval survival under the two treatments.
    Keywords: ASSEMBLE_Plus; Association of European Marine Biological Laboratories Expanded; Climate change; cold-water coral; DATE/TIME; Deep sea; early life history; early life stages; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Laboratory experiment; Larvae; larval behaviour; pH; pH meter, Mettler Toledo, Seven2Go pH /Ion meter S8; physiology; Remote operated vehicle; Replicate; ROV; Salinity; Sample ID; Species; Species, unique identification (Semantic URI); Species, unique identification (URI); Temperature, water; Time in hours; Tisler_Sampling_Lophelia_pertusa_4; Tisler_Sampling_Lophelia_pertusa_6; Tisler Reef, Skagerrak; Treatment; Visual counts
    Type: Dataset
    Format: text/tab-separated-values, 1116 data points
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  • 12
    Publication Date: 2024-06-15
    Description: Conventional munition dumped into the North Sea and the Baltic Sea close to the German coastline is corroding. A major concern is that biota, including fish, are negatively affected by toxic explosives leaking into marine environments. With the present study, we investigated fish living in close proximity to munition dumping sites for contamination and for signs of health impairments. The flat fish species common dab (Limanda limanda) was used as a model, since it lives in the vicinity of dumping sites and exhibits minor migratory activity. Various health indicators (body condition factors, externally visible fish diseases, parasites or liver anomalies) were investigated.
    Keywords: Baltic Sea; Borkum; Calculated; CLU355; CLU355_1; CLU355_2; CLU355_3; CLU355_4; CLU364; CLU364_1; CLU364_2; CLU364_3; CLU364_4; CLU367; CLU367_1; CLU367_2; CLU376; CLU376_1; CLU376_3; CLU376_4; CLU376_5; CLU376_6; Clupea; CONMAR; Cruise/expedition; DAM sustainMare - CONMAR: CONcepts for conventional MArine Munition Remediation in the German North and Baltic Sea; DATE/TIME; Demersal fish trawl; DEPTH, water; Determined by visual inspection of otholiths; diseases; Event label; fish health; Fish measuring board; FTRW-D; Gillnet; GN; Haffkrug North; Heligoland West-North-West; Kolberger Heide; Kolberger Heide East; Kolberger Heide West; Langeoog; LATITUDE; Limanda limanda, age; Limanda limanda, condition factor; Limanda limanda, dark melonoma, presence/absence; Limanda limanda, epidermal papilloma, presence/absence; Limanda limanda, fin rot, presence/absence; Limanda limanda, lipoma, presence/absence; Limanda limanda, liver anomalies, presence/absence; Limanda limanda, lymphocystis, presence/absence; Limanda limanda, mass; Limanda limanda, presence/absence of Acanthochondria cornuta; Limanda limanda, presence/absence of Cryptocotyle lingua; Limanda limanda, presence/absence of Lepeophtheirus pectoralis; Limanda limanda, presence/absence of Myxospora; Limanda limanda, presence/absence of Stephanostomum baccatum; Limanda limanda, sex; Limanda limanda, skeletal deformation, presence/absence; Limanda limanda, skin ulceration, presence/absence; Limanda limanda, total length; Limanda limanda, white hyperpigmentation, presence/absence; Limanda limanda, x-cell gill disease, presence/absence; Location; Location ID; LONGITUDE; Norderney North; North Sea; parasites; Pelzerhaken East; Research Mission of the German Marine Research Alliance (DAM): Protection and sustainable use of marine areas; Scale; Scharhörn reef; Schleimünde North-East; SOL816; SOL816_1; SOL816_2; SOL816_3; SOL816_4; SOL816_5; SOL816_6; SOL816_7; SOL816_8; SOL816_9; Solea (2004); Spiekeroog fairway North; Spiekeroog North; sustainMare; Visual observation; Wangerooge North; Wangerooge North, Minsener Oog; Weser mouth
    Type: Dataset
    Format: text/tab-separated-values, 9323 data points
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  • 13
    Publication Date: 2024-06-15
    Description: In this pilot study, we use co-located semi-hourly measurements of total dissolved inorganic carbon (DIC), total alkalinity, and the stable carbon isotope composition of DIC (δ13CDIC) over a 27 + h period from Tetiaroa Atoll, French Polynesia, to investigate the potential for reef carbonate chemistry to record information related to benthic photosynthetic community composition and response to natural gradients in ambient acidity and dissolved carbon dioxide. 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 Mendeley Data (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 2024-05-17.
    Keywords: Alkalinity, total; Aragonite saturation state; Benthos; Bicarbonate ion; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Coast and continental shelf; Entire community; Field observation; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Isotopic fractionation factor; Isotopic fractionation factor, standard deviation; Local Time; Motu_Onetahi; OA-ICC; Ocean Acidification International Coordination Centre; Other studied parameter or process; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; Rocky-shore community; Salinity; South Pacific; Temperature, water; Tropical; Type of study; δ13C, dissolved inorganic carbon
    Type: Dataset
    Format: text/tab-separated-values, 246 data points
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  • 14
    Publication Date: 2024-06-15
    Keywords: 17-167; Abundance; Assipetra infracretacea; Comment; Conusphaera mexicana mexicana; Cretarhabdus angustiforatus; Cretarhabdus conicus; Cretarhabdus surirellus; Cruciellipsis cuvillieri; Cyclagelosphaera margerelii; Deep Sea Drilling Project; DEPTH, sediment/rock; Diazomatolithus lehmanii; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Epoch; Flabellites oblongus; Glomar Challenger; Hyalodiscus radiatus; Leg17; Lithraphidites alatus; Lithraphidites bollii; Lithraphidites carniolensis; Manivitella pemmatoidea; Markalius circumradiatus; Microstaurus chiastius; Nannofossil zone; North Pacific/CONT RISE; Overgrowth index; Parhabdolithus asper; Parhabdolithus embergeri; Parhabdolithus splendens; Percivalia fenestrata; Rotelapillus laffittei; Rucinolithus irregularis; Rucinolithus terebrodentarius; Sample code/label; Tegumentum stradneri; Tetralithus malticus; Tubodiscus jurapelagicus; Vekshinella stradneri; Watznaueria barnesae; Watznaueria communis; Zygodiscus elegans
    Type: Dataset
    Format: text/tab-separated-values, 590 data points
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  • 15
    Publication Date: 2024-06-15
    Keywords: 17-167; Deep Sea Drilling Project; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Epoch; Globigerinelloides blowi; Globigerinelloides ferreolensis; Glomar Challenger; Hedbergella delrioensis; Hedbergella gorbachikae; Hedbergella planispira; Hedbergella sigali; Hedbergella similis; Hedbergella trocoidea; Leg17; North Pacific/CONT RISE; Planktic foraminifera zone; Sample code/label; Ticinella bejaouaensis; Ticinella roberti
    Type: Dataset
    Format: text/tab-separated-values, 175 data points
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  • 16
    Publication Date: 2024-06-15
    Keywords: 62-463; Abundance; Assipetra infracretacea; Comment; Conusphaera mexicana mexicana; Cretarhabdus angustiforatus; Cretarhabdus conicus; Cretarhabdus surirellus; Cyclagelosphaera margerelii; Deep Sea Drilling Project; DEPTH, sediment/rock; Diazomatolithus lehmanii; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Epoch; Eprolithus floralis; Flabellites oblongus; Glomar Challenger; Leg62; Lithraphidites carniolensis; Manivitella pemmatoidea; Markalius circumradiatus; Microstaurus chiastius; Nannoconus truitti; Nannofossil zone; North Pacific/SEAMOUNT; Overgrowth index; Parhabdolithus asper; Parhabdolithus embergeri; Parhabdolithus infinitus; Parhabdolithus splendens; Percivalia fenestrata; Rotelapillus laffittei; Rucinolithus irregularis; Rucinolithus terebrodentarius; Sample code/label; Tegumentum stradneri; Vekshinella stradneri; Watznaueria barnesae; Watznaueria communis; Zygodiscus diplogrammus; Zygodiscus elegans
    Type: Dataset
    Format: text/tab-separated-values, 455 data points
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  • 17
    Publication Date: 2024-06-15
    Keywords: 62-463; Deep Sea Drilling Project; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Epoch; Globigerinelloides blowi; Glomar Challenger; Hedbergella sigali; Hedbergella similis; Leg62; North Pacific/SEAMOUNT; Planktic foraminifera zone; Sample code/label
    Type: Dataset
    Format: text/tab-separated-values, 69 data points
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  • 18
    Publication Date: 2024-06-15
    Keywords: 190-1173A; Biotite; Carbonates; Clay; Clay minerals; Color description; Depth, bottom/max; Depth, reference; DEPTH, sediment/rock; Depth, top/min; Description; Diatom abundance; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Epoch; Feldspar; Foraminifera; Grain size description; Igneous rock; Joides Resolution; Leg190; Lithic grains; Lithologic unit/sequence; Lithology/composition/facies; Minerals; Muscovite; Nannofossil abundance; Nannofossil zone; Ocean Drilling Program; ODP; Opaque minerals; Philippine Sea; Pyrite; Quartz; Radiolarians abundance; Sample code/label; Sample comment; Sample thickness; Sand; Section; Section position; Silicoflagellate abundance; Silt; Smear slide analysis; Sorting description; Sponge spiculae; Volcanic glass; Volcanic glass, altered; Zeolite
    Type: Dataset
    Format: text/tab-separated-values, 4035 data points
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  • 19
    Publication Date: 2024-06-15
    Keywords: 190-1174A; 190-1174B; Biotite; Carbonates; Clay; Clay minerals; Color description; Depth, bottom/max; Depth, reference; DEPTH, sediment/rock; Depth, top/min; Description; Diatom abundance; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Epoch; Event label; Feldspar; Foraminifera; Grain size description; Joides Resolution; Leg190; Lithic grains; Lithologic unit/sequence; Lithology/composition/facies; Mica; Minerals; Nannofossil abundance; Nannofossil zone; Ocean Drilling Program; ODP; Opaque minerals; Philippine Sea; Quartz; Radiolarians abundance; Sample code/label; Sample comment; Sample thickness; Sand; Section; Section position; Silt; Smear slide analysis; Sorting description; Volcanic glass; Volcanic glass, altered; Zeolite
    Type: Dataset
    Format: text/tab-separated-values, 3363 data points
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  • 20
    Publication Date: 2024-06-15
    Keywords: 190-1177A; Carbonates; Clay; Clay minerals; Color description; Depth, bottom/max; Depth, reference; DEPTH, sediment/rock; Depth, top/min; Description; Diatom abundance; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Epoch; Feldspar; Foraminifera; Grain size description; Joides Resolution; Leg190; Lithic grains; Lithologic unit/sequence; Lithology/composition/facies; Mica; Minerals; Nannofossil abundance; Nannofossil zone; Ocean Drilling Program; ODP; Opaque minerals; Organic matter; Philippine Sea; Quartz; Radiolarians abundance; Sample code/label; Sample comment; Sample thickness; Sand; Section; Section position; Silt; Smear slide analysis; Sorting description; Volcanic glass; Volcanic glass, altered; Zeolite
    Type: Dataset
    Format: text/tab-separated-values, 1385 data points
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  • 21
    Publication Date: 2024-06-15
    Keywords: AMT5; AMT5_36; AMT5_38; AMT5_40; AMT5_42; AMT5_44; DEPTH, water; Depth comment; Elevation of event; Event label; Genotype; Globorotalia inflata, landmark coordinates; Globorotalia inflata, major axis length; James Clark Ross; Latitude of event; Longitude of event; Net; NET; Number of specimens; Positioning type/details; Sample code/label; SDY285, CTD-24; SDY286, CTD-25; SDY287, CTD-26; SDY288, CTD-28; SDY289, CTD-30
    Type: Dataset
    Format: text/tab-separated-values, 3915 data points
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  • 22
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    PANGAEA
    In:  Supplement to: Pignet, G; Martin, G; Bougault, Henri (1979): Les nodules polymétalliques et la dépollution des eaux (Polymetalic nodules and water depollution). Journal Français d'Hydrologie, 10(3), 179-188, https://archimer.ifremer.fr/doc/00000/5396/4850.pdf
    Publication Date: 2024-06-14
    Description: Manganese rich polymetallic nodules are used for trace element removal from fresh-water. The theory of kinetics and mechanisms of reactions are discussed for manganese removal. The efficiency of nodules is higher than efficiency related to other manganese removal methods. Pilot units involving continuous processes are discussed.
    Keywords: Atomic absorption spectrometry (AAS); DEPTH, sediment/rock; Description; Dredge; DRG; Elevation of event; Iron; Jean Charcot; Latitude of event; Longitude of event; Manganese; Method/Device of event; Nickel; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Sample ID; South Atlantic Ocean; WALDA-003_CH20; WALDA-DS17
    Type: Dataset
    Format: text/tab-separated-values, 5 data points
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  • 23
    Publication Date: 2024-06-14
    Description: The shallow meridional overturning cells of the Atlantic Ocean, the Subtropical Cells (STCs), consist of poleward Ekman transport at the surface, subduction in the subtropics, equatorward flow at thermocline level and upwelling along the equator and at the eastern boundary. In this study we provide the first observational estimate of transport variability associated with the horizontal branches of the Atlantic STCs in both hemispheres based on Argo float data and supplemented by reanalysis products. Thermocline layer transport convergence and surface layer transport divergence between 10°N and 10°S are dominated by seasonal variability. Meridional thermocline layer transport anomalies at the western boundary and in the interior basin are anti-correlated and partially compensate each other at all resolved time scales. It is suggested that the seesaw-like relation is forced by the large-scale off-equatorial wind stress changes through low-baroclinic-mode Rossby wave adjustment. We further show that anomalies of the thermocline layer interior transport convergence modulate sea surface temperature (SST) variability in the upwelling regions along the equator and at the eastern boundary at time scales longer than 5 years. Phases of weaker (stronger) interior transport are associated with phases of higher (lower) equatorial SST. At these time scales, STC transport variability is forced by off-equatorial wind stress changes, especially by those in the southern hemisphere. At shorter time scales, equatorial SST anomalies are, instead, mainly forced by local changes of zonal wind stress.
    Keywords: BANINO; Benguela Niños: Physikalische Prozesse und langperiodische Variabilität; Climate - Biogeochemistry Interactions in the Tropical Ocean; RACE; Regional Atlantic Circulation and global Change; SFB754; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management
    Type: Dataset
    Format: 16 datasets
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  • 24
    Publication Date: 2024-06-14
    Description: The upper-ocean circulation of the tropical Atlantic is a complex superposition of thermohaline and wind-driven flow components. The resulting zonally- and vertically-integrated upper-ocean meridional flow is referred to as the upper branch of the Atlantic Meridional Overturning Circulation (AMOC) - a major component and potential tipping element of the global climate system. We investigate the tropical part of the northward AMOC branch, i.e. the return flow covering the upper 1,200 m, based on Argo data and repeated shipboard velocity measurements. The western boundary mean circulation at 11°S is realistically reproduced from high-resolution Argo data showing a remarkably good representation of the vertical structure of meridional velocity and the volume transport of water mass layers when compared to results from direct velocity measurements along a repeated ship section. Thus, we extend the analysis to the inner tropical Atlantic. Within the AMOC return flow, a diapycnal upwelling of central water into the thermocline layer of ~2 Sv is derived between 11°S and 10°N which is about half the magnitude of previous estimates, likely due to improved horizontal resolution. The mean strength of the AMOC return flow is ~16 Sv across 11°S and 10°N. At 11°S, northward transport is concentrated at the western boundary where the AMOC return flow enters the tropics at all vertical layers above 1,200 m. At 10°N, northward transport is observed both at the western boundary and in the interior predominantly in the surface and intermediate layer indicating recirculation and transformation of thermocline and central water within the tropics.
    Keywords: BANINO; Benguela Niños: Physikalische Prozesse und langperiodische Variabilität; currents; physical oceanography; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management; tropical Atlantic
    Type: Dataset
    Format: 46 datasets
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  • 25
    Publication Date: 2024-06-14
    Description: Physical oceanography variables and carbon remineralisation (juveniles/adults of Cyclothone species and Argyropelecus hemigymnus) were analysed during the BATHYPELAGIC cruise (North Atlantic, June 2018). This dataset contains the depth, temperature, and conductivity which were recorded from surface to a maximum depth of 2000 m using a SeaBird SBE 25plus CTD equipped with a Seabird-43 Dissolved Oxygen sensor and a Seapoint Fluorometer. Values of numerical abundance, biomass, specific ETS activity, specific respiraton and respiration flux data analyzed from Northwest Africa (20° N, 20° W) to the South of Iceland are presented. A. hemigymnus specimens were collected using a ''Mesopelagos” net (5 x7 m mouth opening, 58 m total length) equipped with graded-mesh netting (starting with 30 mm and ending with 4 mm) and a multi-sampler for collecting samples from 5 different depth layers. However, Cyclothone specimens were collected using the Multiple Opening/Closing Net and Environmental Sensing System (MOCNESS-1 m²) zooplankton net with a 0.2 mm mesh size and with several nets for collecting samples from 8 different depth layers. The Mesopelagos catches were sorted out and identified on board to the lowest possible taxon, and specimens selected for Electron Transfer System (ETS) analyses were immediately frozen in liquid nitrogen for later analysis in the laboratory. MOCNESS samples were preserved in 5% buffered formalin, and specimens were sorted out later in the laboratory. Stomiiforms respiration in the meso- and bathypelagic zones of the ocean were estimated along the transect. Abundance, biomass, specific ETS activity, specific respiration and respiration are given by layer between e.g. 100 m and 1000 m depth (MOCNESS net, 1900–1600 m, 1600–1300 m, 1300–1000 m, 1000–700 m, 700–400 m, 400–200 m, 200–100 m and 100–0 m; Mesopelagos, 1900–1200 m, 1200–800 m, 800–500 m, 500–200 m and 200–0 m).
    Keywords: bathypelagic; BATHYPELAGIC; biological carbon pump; Biomass and Active Flux in the Bathypelagic Zone; Carbon; fish; ICM_Excellence_Centre; mesopelagic; Northeast Atlantic; remineralization; respiration flux; Severo Ochoa Centre of Excellence; SUMMER; Sustainable Management of Mesopelagic Resources; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 26
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    PANGAEA
    Publication Date: 2024-06-14
    Keywords: Acer; Aesculus; Alnus; Anabaena; Apiaceae; Artemisia; Asteraceae Liguliflorae; Asteraceae Tubuliflorae; Azolla/Salvinia; Betula; Boraginaceae; Botryococcus braunii; Brassicaceae; Calligonum; Campanula; Cannabaceae; Carpinus betulus; Caryophyllaceae; Castanea; Cedrus; Centaurea; Cerealia-type; Chenopodiaceae/Amaranthaceae; Convolvulaceae; Cornus; Corylus; Counting, palynology; Cousinia; Cyperaceae; DEPTH, sediment/rock; Dryopteris filix-mas; Echium; Elaeagnus; Ephedra; Ephedra alata-type; Ephedra major-type; Eremurus; Ericaceae; Erodium; Euphorbia; Fabaceae; Fagus; Filipendula; Fraxinus excelsior; Gloeotrichia; GS05; Haplophyllum; Heliotropium; Hippophae; Incertae sedis; Indeterminable: unknown; Juglans; Juniperus; KULC; KULLENBERG corer; Lamiaceae; Ligustrum; Liliaceae; Littorella; Menyanthes; Mercurialis annua; Monolete non-psilate; Monolete psilate; Mougeotia; Nitraria; Olea; Ophioglossum; Parrotia persica; Pediastrum boryanum; Picea; Pinaceae; Pinus; Pinus haploxylon; Pistacia; Plantago; Plumbaginaceae; Poaceae; Pollen, reworked; Pollen and spores per unit sediment mass; Pollen indeterminata; Polygonum; Polygonum bistorta-type; Polypodium vulgare; Potamogeton; Pteridium aquilinum; Pterocarya; Pterosperma; Quercus; Quercus sempervirens; Radiosperma; Ranunculaceae; Ranunculus acris-type; Rhamnaceae; Rhus; Riccia; Rosaceae; Rubiaceae; Rumex sp.; Ruppia; Salix; Sambucus; Sanguisorba minor; Sanguisorba officinalis; Sphagnum; Tamarix; Taxus; Teucrium; Thalictrum; Thymelaeaceae; Tilia; Trilete non-psilate; Trilete psilate; Typha/Sparganium; Typha latifolia-type; Ulmus/Zelkova; Urticaceae/Moraceae; Vitis; Zygnema
    Type: Dataset
    Format: text/tab-separated-values, 7181 data points
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  • 27
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    Unknown
    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2024-06-14
    Keywords: Acer; AGE; Alnus; Alternanthera; Armeria; Artemisia; Asteroideae; Betula; Boraginaceae; Botrychium; Calligonum; Calluna; Carpinus betulus; Caryophyllaceae; Caspian Sea CP 14; Castanea; Centaurea; Centaurea collina; Centaurea cyanus; Centaurea montana; Centaurea sinaica; Cerealia; Chenopodiaceae/Amaranthaceae; Cichorioideae; Corylus; Counting, palynology; CP14; Cruciferae; Cupressaceae; Cyperaceae; DEPTH, sediment/rock; Dipsacus; Dryopteris filix-mas; Echium; Elaeagnus; EPD; Ephedra alata-type; Ephedra major-type; Ephedra undifferentiated; Eremurus; Ericaceae; Euphorbia; Fagus; Filipendula; Fraxinus; Gramineae; Haplophyllum; Hippophae; Indeterminable: undifferentiated; Indeterminable: unknown; Juglans; KULC; KULLENBERG corer; Labiatae (6); Legousia; Liliaceae; Littorella; Lycopodium annotinum; Lycopodium selago; Monolete non-psilate; Monolete psilate; Myrtaceae; Papilionaceae; Parrotia persica; Picea; Pinus; Pistacia; Plantago; Plantago lanceolata; Pollen; Pollen, reworked; Polypodium vulgare; Potamogeton; Pteridium aquilinum; Pterocarya; Quercus; Quercus sempervirens; Rhamnaceae; Riccia; Rosaceae; Rubiaceae; Rumex; Salix; Sanguisorba minor; Spergularia; Sphagnum; Tamarix; Thalictrum; Thelypteris palustris; Tilia; Trifolium; Trilete non-psilate; Trilete psilate; Tsuga; Typha/Sparganium; Ulmus/Zelkova; Umbelliferae; Urticaceae/Moraceae; Viscum; Vitis
    Type: Dataset
    Format: text/tab-separated-values, 2668 data points
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  • 28
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    Unknown
    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2024-06-14
    Keywords: Abies; Acer; Aesculus; AGE; Alnus; Alternanthera; Anabaena; Anthoceros; Apiaceae; Artemisia; Asteroideae; Astragalus; Azolla/Salvinia; Betula; Boraginaceae; Botrychium; Botryococcus braunii; Brassicaceae; Buxus; Calligonum; Calluna; Campanulaceae; Cannabaceae; Carpinus betulus; Carpinus orientalis; Caryophyllaceae; Caspian Sea; Castanea; Cedrus; Centaurea; Ceratophyllum; Cerealia-type; Chenopodiaceae/Amaranthaceae; Cichorioideae; Concentricystes circulus; Convolvulaceae; Cornus; Corylus; Counting, palynology; Crassulaceae; Cyperaceae; Cystopteris; Debarya; DEPTH, sediment/rock; Dipsacaceae; Dryopteris filix-mas; Echium; Elaeagnus; Ephedra alata-type; Ephedra major-type; Ephedra undifferentiated; Eremurus; Ericaceae; Euphorbiaceae; Fabaceae; Fagus; Filipendula; Fraxinus excelsior; Gentianaceae; Gloeotrichia; GS18; Haplophyllum; Helianthemum; Heliotropium; Hippophae; Ilex; Incertae sedis; Indeterminable: undifferentiated; Indeterminable: unknown; Jasminum; Juglans; Juniperus; KULC; KULLENBERG corer; Lamiaceae; Liliaceae; Lilium; Liquidambar; Littorella; Lotus; Lycopodium clavatum; Melampyrum; Monolete non-psilate; Monolete psilate; Myrica; Myriophyllum alterniflorum; Myriophyllum verticillatum; Nitraria; Olea; Oleaceae; Orchidaceae; Parrotia persica; Pediastrum boryanum; Pediastrum simplex; Picea; Pinaceae; Pinus; Pinus haplostellate; Pistacia; Plantago; Plumbaginaceae; Poaceae; Pollen; Pollen, reworked; Polygonum aviculare; Polygonum bistorta-type; Polygonum undifferentiated; Potamogeton; Potentilla-type; Primulaceae; Pteridium aquilinum; Pteris; Pterocarya; Pterosperma; Quercus, deciduous; Quercus sempervirens; Radiosperma; Ranunculaceae; Ranunculus acris-type; Rhamnaceae; Riccia; Rosaceae; Rubiaceae; Rumex; Ruppia; Salix; Salvinia/Azolla massulae; Sanguisorba minor; Sanguisorba officinalis; Saxifraga; Scenedesmus; Scrophulariaceae; Secale; Selaginella selaginoides; Sphagnum; Spirogyra; Tamarix; Taxus; Tetraedron; Thalictrum; Thelypteris palustris; Tilia; Trilete non-psilate; Trilete psilate; Typha/Sparganium; Typha latifolia-type; Ulmus/Zelkova; Umbilicus; Urticaceae/Moraceae; Valerianaceae; Vitis
    Type: Dataset
    Format: text/tab-separated-values, 16530 data points
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  • 29
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    Unknown
    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2024-06-14
    Keywords: Abies; Acer; Alnus; Artemisia; Asteroideae; Batrachium; Betula; Botrychium; Buxus; Calligonum; Calystegia; Campanulaceae; Carpinus betulus; Caryophyllaceae; Caspian Sea CP 18; Celtis; Centaurea; Cerealia; Chenopodiaceae/Amaranthaceae; Chrozophora; Cichorioideae; Corylus; Counting, palynology; CP18; Cruciferae; Cupressaceae; Cyperaceae; DEPTH, sediment/rock; Dryopteris filix-mas; Echium; Emex; EPD; Ephedra alata-type; Ephedra major-type; Equisetum; Ericaceae; Euphorbia; Fagus; Filipendula; Fraxinus; Gramineae; Hippophae; Ilex; Indeterminable: undifferentiated; Indeterminable: unknown; Juglans; KULC; KULLENBERG corer; Labiatae; Labiatae (6); Ligustrum; Liliaceae; Littorella; Mercurialis; Monolete non-psilate; Monolete psilate; Myriophyllum verticillatum; Nymphaea; Nymphoides peltata; Parrotia persica; Picea; Pinaceae; Pinus; Pistacia; Plantago; Plantago lanceolata; Plantago major-type; Plumbaginaceae; Pollen; Pollen, reworked; Polygonum bistorta-type; Polygonum persicaria-type; Polygonum undifferentiated; Polypodium vulgare; Potamogeton; Pteridium aquilinum; Pterocarya; Quercus; Quercus sempervirens; Ranunculaceae; Riccia; Rubiaceae; Rumex; Rumex acetosa; Rumex acetosella; Salix; Sanguisorba minor; Sphagnum; Tamarix; Thalictrum; Thelypteris palustris; Thymelaeaceae; Tilia; Trilete non-psilate; Trilete psilate; Typha/Sparganium; Typha latifolia-type; Ulmus/Zelkova; Umbelliferae; Urticaceae/Moraceae; Valerianaceae; Vitis
    Type: Dataset
    Format: text/tab-separated-values, 3420 data points
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  • 30
    Publication Date: 2024-06-14
    Description: During the Transatlantic Equatorial Cruise II (TRATLEQ II) with the R/V METEOR (M181) from 17. April to 28. May 2022 (Brandt, 2022), 44 Lagrangian drifters were deployed along the Equator (between 7°W and 37°W) to monitor the surface flow in the upper meter. The equatorial section covered the region of the Atlantic cold tongue that seasonally develops during boreal summer east of 23°W and the western equatorial Atlantic characterized by warmer surface waters and deeper mixed layer depths. In particular, the cruise M181 took place during the warm phase with relatively homogeneous warm surface layer in the whole equatorial Atlantic. Drifters were deployed every 1° longitude (~111 km) between 7°W and 37°W. The drifters were designed and built at Helmholtz-Zentrum Hereon to follow the upper surface flow (approx. 50 cm). The main body of these Hereon drifters consists of a 7.5 cm x 20 cm long tube with a floatation ring at the top. It is attached to a drogue of 35 cm in both length and diameter through a flexible cord within a distance of 20 cm to the tube. When deployed about 5 cm of the tube protrude from the water surface, resulting in a ratio of drag area inside to drag area outside the water of 21. The tube contains a battery pack and an electronic board, which acquires and reports the GPS position every 5 minutes via a global satellite network in near real time. Table 1 provides some information on the 44 deployed Hereon Drifters, which consists of deployment and working time, total covered distance and number of recorded GPS positions.
    Keywords: MOPGA-TAD; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management; Tropical Atlantic Deoxygenation: gateway dynamics, feedback mechanisms and ecosystem impacts
    Type: Dataset
    Format: application/zip, 44 datasets
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  • 31
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    Unknown
    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2024-06-14
    Keywords: Acacia; AGE; Alisma; Alnus; Apiaceae; Artemisia; Asphodelus; Asteroideae; Betula; Blepharisma; Boraginaceae; Brassicaceae; Calicotome villosa; Calligonum; Cannabaceae/Urticaceae; Cannabis; Carpinus betulus; Carpinus orientalis; Carya; Caryophyllaceae; Castanea; Casuarina; Casuarina/Corylus; Cedrus; Celtis; Centaurea; Centaurea collina-type; Centaurea cyanus; Centaurea jacea-type; Centaurea scabiosa; Ceratonia; Cerealia; Chenopodiaceae/Amaranthaceae; Chrozophora; Cichorioideae; Cistaceae; Cistus; Combretaceae; Convolvulaceae; Corylus; Counting, palynology; Cupressaceae; Cynoglossum officinale-type; Cyperaceae; Dead Sea 7; DEPTH, sediment/rock; Dipsacaceae; DRILL; Drilling/drill rig; DS7; Echinops-type; Echium; Emex spinosa; EPD; Ephedra distachya-type; Ephedra fragilis-type; Ericaceae; Erodium; Euphorbia; Euphorbiaceae; Fabaceae; Fagus; Fraxinus; Fraxinus excelsior; Fraxinus ornus; Geranium; Haplophyllum; Helianthemum; Hepatophyta; Indeterminable: undifferentiated; Indeterminable: unknown; Isoetes; Juglans; Lamiaceae; Liliaceae; Lycopodium; Lygeum; Malvaceae; Mercurialis annua-type; Monolete non-psilate; Monolete psilate; Myrtaceae; Nitraria; Olea; Oleaceae; Ornithogalum-type; Phillyrea; Phlomis; Picea; Pinus; Pistacia; Plantago; Plumbaginaceae; Poaceae; Pollen; Pollen, reworked; Polygonum bistorta-type; Populus; Potamogeton; Prosopis; Quercus boissieri-type; Quercus calliprinos; Ranunculaceae; Ranunculus acris-type; Rhamnaceae; Rhus; Riccia; Ricinus; Rosaceae; Rubiaceae; Rumex; Salix; Sarcopoterium; Scabiosa; Scabiosa argentea-type; Sphagnum; Styrax; Succisa; Tamarix; Teucrium; Thalictrum; Theligonum cynocrambe; Thymelaeaceae; Trilete non-psilate; Trilete psilate; Typha/Sparganium; Ulmus/Zelkova; Urticaceae; Vitis; Zygophyllum
    Type: Dataset
    Format: text/tab-separated-values, 6832 data points
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  • 32
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    Unknown
    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2024-06-14
    Keywords: Abies; Acer; Alnus; Armeria; Artemisia; Asteroideae; Astragalus; Azolla; Betula; Botrychium; Buxus; Calligonum; Calluna; Carpinus betulus; Carpinus orientalis; Carya; Caryophyllaceae; Caspian Sea CP 21; Castanea; Centaurea; Centaurea cyanus; Centaurea jacea; Centaurea montana; Cerealia; Chenopodiaceae/Amaranthaceae; Chrozophora; Cichorioideae; Cistus; Convolvulaceae; Corylus; Counting, palynology; CP21; Cruciferae; Cupressaceae; Cyperaceae; DEPTH, sediment/rock; Dryopteris filix-mas; Elaeagnus; EPD; Ephedra alata-type; Ephedra major-type; Ephedra undifferentiated; Equisetum; Eremurus; Ericaceae; Euphorbia; Fagus; Filipendula; Fraxinus; Gramineae; Haplophyllum; Hippophae; Indeterminable: undifferentiated; Indeterminable: unknown; Isoetes; Juglans; Juniperus; KULC; KULLENBERG corer; Labiatae; Liliaceae; Littorella; Lygeum; Mercurialis; Monolete non-psilate; Monolete psilate; Myrica; Myriophyllum alterniflorum; Myriophyllum verticillatum; Nymphaea; Olea; Osmunda; Papilionaceae; Parrotia persica-type; Picea; Pinaceae; Pinus; Pistacia; Plantago; Plantago intermedia; Plantago lanceolata; Plantago major-type; Plantago media-type; Plumbaginaceae; Pollen; Pollen, reworked; Polygonum bistorta-type; Polygonum undifferentiated; Polypodium vulgare; Potamogeton; Pteridium aquilinum; Pterocarya; Quercus, deciduous; Quercus sempervirens; Ranunculaceae; Ranunculus acris-type; Rhus; Riccia; Rosaceae; Rubiaceae; Rumex; Rumex acetosella; Salix; Sanguisorba minor; Secale; Sphagnum; Tamarix; Thalictrum; Thelypteris palustris; Tilia; Trilete non-psilate; Trilete psilate; Tsuga; Typha/Sparganium; Typha latifolia-type; Ulmus/Zelkova; Umbelliferae; Urticaceae/Moraceae; Vitis
    Type: Dataset
    Format: text/tab-separated-values, 4144 data points
    Location Call Number Expected Availability
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  • 33
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    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2024-06-14
    Keywords: Acer; AGE; Alnus; Artemisia; Asteroideae; Batrachium; Betula; Buxus; Calligonum; Cannabis; Carpinus betulus; Caryophyllaceae; Cedrus; Centaurea; Centaurea cyanus; Cerealia; Chenopodiaceae/Amaranthaceae; Cichorioideae; Corylus; Counting, palynology; Cruciferae; Cupressaceae; Cyperaceae; DEPTH, sediment/rock; Echinops; Elaeagnus; EPD; Ephedra distachya-type; Ephedra fragilis-type; Euphorbia; Fagus; Filipendula; Fraxinus excelsior; Fraxinus ornus; Gramineae; Haplophyllum; Hedera; Indeterminable: undifferentiated; Indeterminable: unknown; Isoetes; Juglans; Kara-Bogaz Gol; KBG801; Mahonia; Mercurialis; Monolete psilate; Myrtus; Nitraria; Olea; Papilionaceae; Parrotia persica; PC; Picea; Pinaceae; Pinus; Pinus haplostellate; Pistacia; Piston corer; Plantago lanceolata; Plantago undifferentiated; Platanus; Plumbaginaceae; Pollen; Pollen, reworked; Polygonaceae; Polygonum aviculare; Polygonum romanum-type; Prosopis; Pterocarya; Quercus; Quercus sempervirens; Ranunculaceae; Rosaceae; Rubiaceae; Rumex acetosella; Rumex undifferentiated; Salix; Sanguisorba minor; Sanguisorba officinalis; Sphagnum; Tamarix; Taxus; Thalictrum; Trilete psilate; Typha/Sparganium; Ulmus/Zelkova; Umbelliferae; Urticaceae/Moraceae; Vitis; Zea mays; Zygophyllum
    Type: Dataset
    Format: text/tab-separated-values, 1428 data points
    Location Call Number Expected Availability
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  • 34
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    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2024-06-14
    Keywords: Acer; Alnus; Alternanthera; Amaranthaceae; Anthoceros; Apiaceae; Armeria; Artemisia; Asteroideae; Azolla/Salvinia; Betula; Brassicaceae; Calligonum; Carpinus betulus-type; Caryophyllaceae; Centaurea; Ceratonia; Ceratophyllum: spines; Cerealia-type; Cichorioideae; Cladium; Corylus; Counting, palynology; Cyperaceae; DEPTH, sediment/rock; Diospyros; Dipsacaceae; Echium; Elaeagnus; EPD; Ephedra alata-type; Ephedra major-type; Eremurus; Eucalyptus; Euphorbia; Fabaceae; Fagus; Fraxinus; GC; Geum; Gravity corer; Hippophae rhamnoides; Ilex; Indeterminable: undifferentiated; Indeterminable: unknown; Juglans; Juniperus; Lamiaceae; Ligustrum; Liliaceae; Lythrum; Menyanthes; Monolete non-psilate; Monolete psilate; Myriophyllum spicatum; Nymphaea alba; Olea; Parrotia persica; Phyteuma; Picea; Pinus; Pistacia; Plantaginaceae; Plantago lanceolata-type; Plantago major-type; Platanus; Poaceae; Pollen, reworked; Polygonum aviculare/P. bistorta-type; Polygonum persicaria; Populus; Potamogeton; Pteridium aquilinum; Pteris; Pterocarya; Pteropyrum; Quercus, deciduous; Quercus sempervirens-type; Ranunculaceae; Ranunculus acris-type; Rhus; Riccia; Rosaceae; Rubiaceae; Rumex; Salix; Salvinia/Azolla massulae; Sambucus; Sanguisorba minor; Secale-type; Tamarix; Taxus; Thalictrum; Thelypteris palustris; Thymelaeaceae; Tilia; Trilete psilate; Typha/Sparganium; Typha latifolia-type; Ulmus/Zelkova; Urticaceae/Moraceae; Valerianaceae; Vitis; Zibakenar Lagoon; ZL11
    Type: Dataset
    Format: text/tab-separated-values, 1584 data points
    Location Call Number Expected Availability
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  • 35
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    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2024-06-14
    Keywords: Acer; AGE; Alnus; Alternanthera; Amaranthaceae; Anthoceros; Apiaceae; Artemisia; Asteroideae; Azolla/Salvinia; Betula; Brassicaceae; Buxus; Calligonum; Campanula; Carpinus betulus; Caryophyllaceae; Centaurea; Centaurea nigra-type; Cerealia-type; Chrozophora tinctoria; Cichorioideae; Citrus; Convolvulus; Corylus; Counting, palynology; Cousinia; Cyperaceae; DEPTH, sediment/rock; Dipsacaceae; Echinops; EPD; Ephedra distachya-type; Ephedra fragilis-type; Epilobium; Eremurus; Fabaceae; Fagus; Filipendula; Fraxinus; Hedera; Hippophae rhamnoides; Ilex; Indeterminable: undifferentiated; Indeterminable: unknown; Juglans; Juniperus; Knautia; Lamiaceae; Langarud; Ligustrum; Liliaceae; Littorella; LL13; Lythrum hyssopifolia; Monolete non-psilate; Monolete psilate; Myriophyllum verticillatum; Nymphaea; Nymphoides peltata; Oenotheraceae; Olea; Ophioglossum; Parrotia persica; PCOR; Percussion corer; Pinus; Pistacia; Plantaginaceae; Platanus; Poaceae; Pollen, reworked; Polygonum aviculare-type; Polygonum persicaria-type; Polypodium vulgare; Potamogeton; Potentilla-type; Pteridium aquilinum; Pteris; Pterocarya; Quercus, deciduous; Quercus sempervirens-type; Ranunculaceae; Ranunculus acris-type; Rhamnus; Riccia; Rosaceae; Rubiaceae; Rumex; Salix; Sanguisorba minor; Secale; Stellaria; Thalictrum; Theligonum; Thelypteris palustris; Trilete psilate; Typha/Sparganium; Typha latifolia-type; Ulmus/Zelkova; Urticaceae/Moraceae; Valerianaceae; Viburnum; Vitis
    Type: Dataset
    Format: text/tab-separated-values, 1440 data points
    Location Call Number Expected Availability
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  • 36
    facet.materialart.
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    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2024-06-14
    Keywords: Abies; AGE; Alnus; Artemisia; Batrachium; Betula; Boraginaceae; Calluna; Carpinus betulus-type; Carpinus orientalis; Caryophyllaceae; Castanea; Centaurea; Cerealia; Chenopodiaceae/Amaranthaceae; Cistus; Corylus; Counting, palynology; Cruciferae; Cupressaceae; Cyperaceae; DEPTH, sediment/rock; Dryopteris filix-mas; EPD; Ephedra fragilis-type; Ericaceae; Fagus; Filipendula; Fraxinus excelsior-type; Gramineae; Haplophyllum; Hedera; Indeterminable: undifferentiated; Indeterminable: unknown; Isoetes; Juglans; Knautia; Labiatae; Lake Manyas; Liguliflorae; Ligustrum; Liliaceae; LIVC; Livingstone corer; Melampyrum; Mercurialis; ML9811; Monolete psilate; Myriophyllum alterniflorum; Myriophyllum verticillatum; Nymphaea; Olea; Papilionaceae; Phillyrea; Picea; Pinus; Pistacia; Plantago; Plantago lanceolata; Plantago major; Platanus; Pollen; Pollen, reworked; Polygonum bistorta-type; Polygonum undifferentiated; Populus; Potamogeton; Pteridium aquilinum-type; Pterocarya; Quercus, deciduous; Quercus sempervirens; Ranunculaceae; Rhamnus; Rosaceae; Rubiaceae; Rumex acetosella; Rumex undifferentiated; Salix; Sambucus; Sanguisorba minor; Tamarix; Thalictrum; Thymelaeaceae; Tilia; Trifolium; Trilete non-psilate; Trilete psilate; Tubuliflorae; Typha/Sparganium; Ulmus/Zelkova; Umbelliferae; Urticaceae; Vitis
    Type: Dataset
    Format: text/tab-separated-values, 850 data points
    Location Call Number Expected Availability
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  • 37
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    Unknown
    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2024-06-14
    Keywords: Abies; Acer campestre-type; AGE; Alnus; Androsace; Artemisia; Asteroideae; Betula; Buxus; Caltha-type; Cannabis sativa-type; Carex; Carpinus betulus; Caryophyllaceae; Centaurea undifferentiated; Cerealia; Chenopodiaceae; Chrysosplenium-type; Cichorioideae; Cirsium; Cladium; Cornus suecica-type; Corylus avellana-type; Counting, palynology; Crassulaceae; Cruciferae; Cyperaceae undifferentiated; DEPTH, sediment/rock; Digitalis-type; EPD; Ephedra distachya-type; Ephedra fragilis-type; Ericaceae; Fagus; Filipendula; Frangula; Fraxinus excelsior-type; Fraxinus ornus; Gentianaceae undifferentiated; Gentianella campestris-type; Gramineae undifferentiated; Hedera; Helianthemum; Indeterminable: broken; Indeterminable: concealed; Indeterminable: corroded; Indeterminable: crumpled; Indeterminable: degraded; Juglans; Juniperus; Labiatae; Liliaceae undifferentiated; Livingstone piston corer; Lonicera; LPC; Lythrum portula; Lythrum salicaria-type; Mentha-type; Monolete spore(s); Myricaria germanica; Myriophyllum alterniflorum; Myriophyllum spicatum; Myriophyllum undifferentiated; Myriophyllum verticillatum; NISIB; Nisi Fen; Nuphar; Nymphaea; Olea; Ostrya-type; Oxyria-type; Pediastrum; Pedicularis; Phillyrea; Pinus; Pistacia; Plantago coronopus-type; Plantago lanceolata-type; Plantago undifferentiated; Platanus; Pollen, reworked; Polygala; Populus; Potamogeton subgen. Potamogeton; Potamogeton undifferentiated; Quercus, deciduous; Quercus evergreen; Ranunculus-type; Reseda lutea-type; Rhamnus; Rosaceae; Rubiaceae; Rumex undifferentiated; Salix; Sambucus nigra; Sample volume; Sanguisorba minor-type; Scrophularia-type; Solanum dulcamara; Sparganium; Spores, trilete undifferentiated; Tamarix; Thalictrum; Tilia cordata-type; Typha latifolia-type; Ulmus; Umbelliferae; Urtica pilulifera; Urtica undifferentiated; Urtica urens; Veronica-type; Viburnum; Vitis
    Type: Dataset
    Format: text/tab-separated-values, 6090 data points
    Location Call Number Expected Availability
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  • 38
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    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-06-14
    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; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; 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 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; 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; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 814456 data points
    Location Call Number Expected Availability
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  • 39
    Publication Date: 2024-06-14
    Keywords: Body mass, dry; Body mass, wet; Body mass as carbon; Calculated, see reference(s); Clearance rate; Comment; Name; Reference/source; Taxon/taxa; Treatment: temperature; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 14506 data points
    Location Call Number Expected Availability
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  • 40
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    PANGAEA
    In:  Meteorology Climatology Remote Sensing, Dep. Umweltwissenschaften, Universität Basel
    Publication Date: 2024-06-14
    Description: In Gobabeb, Namibia SWD, LWD and DIR are each measured redundant with two instruments of the same make (not in this data base). The differences between the pairs are used in the quality control. This is done manually by inspecting plots of half-day diurnal courses of the pairs and their differences. Values are removed mostly in the morning due to daily cleaning. Other reasons for larger differences are birds, insects, or people at the station. There are regular fog events varying in frequency over the year. Usually, the fog appears in the second half of the night and disappears a few hours after sunrise. The case temperatures of pyrgeometers practically never drop below dewpoint but there can be water deposition of the dome.
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, standard deviation; GOB; Gobabeb; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Monitoring station; MONS; Namib Desert, Namibia; Pyranometer, Kipp & Zonen, CMP22, SN 110315, WRMC No. 20100; Pyranometer, Kipp & Zonen, CMP22, SN 110316, WRMC No. 20101; Pyranometer, Kipp & Zonen, CMP22, SN 120330, WRMC No. 20102; Pyrgeometer, Kipp & Zonen, CGR4, SN 110408, WRMC No. 20200; Pyrgeometer, Kipp & Zonen, CGR4, SN 120457, WRMC No. 20201; Pyrheliometer, Kipp & Zonen, CHP 1, SN 110764, WRMC No. 20000; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 549318 data points
    Location Call Number Expected Availability
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  • 41
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    Unknown
    PANGAEA
    In:  Meteorology Climatology Remote Sensing, Dep. Umweltwissenschaften, Universität Basel
    Publication Date: 2024-06-14
    Description: In Gobabeb, Namibia SWD, LWD and DIR are each measured redundant with two instruments of the same make (not in this data base). The differences between the pairs are used in the quality control. This is done manually by inspecting plots of half-day diurnal courses of the pairs and their differences. Values are removed mostly in the morning due to daily cleaning. Other reasons for larger differences are birds, insects, or people at the station. There are regular fog events varying in frequency over the year. Usually, the fog appears in the second half of the night and disappears a few hours after sunrise. The case temperatures of pyrgeometers practically never drop below dewpoint but there can be water deposition of the dome.
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, standard deviation; GOB; Gobabeb; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Monitoring station; MONS; Namib Desert, Namibia; Pyranometer, Kipp & Zonen, CMP22, SN 110315, WRMC No. 20100; Pyranometer, Kipp & Zonen, CMP22, SN 110316, WRMC No. 20101; Pyranometer, Kipp & Zonen, CMP22, SN 120330, WRMC No. 20102; Pyrgeometer, Kipp & Zonen, CGR4, SN 110408, WRMC No. 20200; Pyrgeometer, Kipp & Zonen, CGR4, SN 120457, WRMC No. 20201; Pyrheliometer, Kipp & Zonen, CHP 1, SN 110764, WRMC No. 20000; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 580102 data points
    Location Call Number Expected Availability
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  • 42
    facet.materialart.
    Unknown
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-06-14
    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; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; 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 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; 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; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 785543 data points
    Location Call Number Expected Availability
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  • 43
    facet.materialart.
    Unknown
    PANGAEA
    In:  Meteorology Climatology Remote Sensing, Dep. Umweltwissenschaften, Universität Basel
    Publication Date: 2024-06-14
    Description: In Gobabeb, Namibia SWD, LWD and DIR are each measured redundant with two instruments of the same make (not in this data base). The differences between the pairs are used in the quality control. This is done manually by inspecting plots of half-day diurnal courses of the pairs and their differences. Values are removed mostly in the morning due to daily cleaning. Other reasons for larger differences are birds, insects, or people at the station. There are regular fog events varying in frequency over the year. Usually, the fog appears in the second half of the night and disappears a few hours after sunrise. The case temperatures of pyrgeometers practically never drop below dewpoint but there can be water deposition of the dome.
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, standard deviation; GOB; Gobabeb; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Monitoring station; MONS; Namib Desert, Namibia; Pyranometer, Kipp & Zonen, CMP22, SN 110315, WRMC No. 20100; Pyranometer, Kipp & Zonen, CMP22, SN 110316, WRMC No. 20101; Pyranometer, Kipp & Zonen, CMP22, SN 120330, WRMC No. 20102; Pyrgeometer, Kipp & Zonen, CGR4, SN 110408, WRMC No. 20200; Pyrgeometer, Kipp & Zonen, CGR4, SN 120457, WRMC No. 20201; Pyrheliometer, Kipp & Zonen, CHP 1, SN 110764, WRMC No. 20000; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 580025 data points
    Location Call Number Expected Availability
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  • 44
    facet.materialart.
    Unknown
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-06-14
    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; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; 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 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; 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; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 815378 data points
    Location Call Number Expected Availability
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  • 45
    facet.materialart.
    Unknown
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-06-14
    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; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; 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 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; 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; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 785988 data points
    Location Call Number Expected Availability
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  • 46
    Publication Date: 2024-06-14
    Description: Carbon export (from the epipelagic towards the mesopelagic zone) and sequestration (from the mesopelagic towards the bathypelagic zone) in the ocean are reviewed. Particulate organic carbon (POC) flux, and active flux due to migrant zooplankton and micronekton are shown from the epipelagic to the mesopelagic zone, and from the latter to the bathypelagic zone. Values towards the meso- and bathypelagic zones are compared in oligotrophic and productive systems. Zooplankton and prokaryote respiration in the meso- and bathypelagic zones of the ocean are also reviewed for oligotrophic and productive systems. Values were integrated over a depth layer and are given as the flux or respiration under one square meter (in g/m**2/a) between e.g. 100 m and 1000 m depth.
    Keywords: 29HE20101215; 29HE20110117; 29HE20110211; 29HE20110317; 29HE20110416; 29HE20110513; 29HE20110619; bathypelagic; Date/Time of event; DEPTH, water; epipelagic; Event label; Hespérides; Image analysis; Latitude of event; Longitude of event; MALASPINA_LEG1; MALASPINA_LEG1_005-1; MALASPINA_LEG1_007-1; MALASPINA_LEG1_010-1; MALASPINA_LEG1_012-1; MALASPINA_LEG1_013-1; MALASPINA_LEG1_015-1; MALASPINA_LEG1_017-1; MALASPINA_LEG1_019-1; MALASPINA_LEG1_022-1; MALASPINA_LEG1_024-1; MALASPINA_LEG2; MALASPINA_LEG2_027-1; MALASPINA_LEG2_029-1; MALASPINA_LEG2_031-1; MALASPINA_LEG2_033-1; MALASPINA_LEG2_037-1; MALASPINA_LEG2_039-1; MALASPINA_LEG2_041-1; MALASPINA_LEG3; MALASPINA_LEG3_045-1; MALASPINA_LEG3_047-1; MALASPINA_LEG3_049-1; MALASPINA_LEG3_055-1; MALASPINA_LEG3_058-1; MALASPINA_LEG3_062-1; MALASPINA_LEG3_064-1; MALASPINA_LEG3_066-1; MALASPINA_LEG4; MALASPINA_LEG4_069-1; MALASPINA_LEG4_071-1; MALASPINA_LEG4_076-1; MALASPINA_LEG4_077-1; MALASPINA_LEG5; MALASPINA_LEG5_084-1; MALASPINA_LEG5_086-1; MALASPINA_LEG5_088-1; MALASPINA_LEG5_090-1; MALASPINA_LEG5_092-1; MALASPINA_LEG5_096-1; MALASPINA_LEG5_100-1; MALASPINA_LEG6; MALASPINA_LEG6_101-1; MALASPINA_LEG6_103-1; MALASPINA_LEG6_106-1; MALASPINA_LEG6_112-1; MALASPINA_LEG6_114-1; MALASPINA_LEG6_115-1; MALASPINA_LEG6_117-1; MALASPINA_LEG6_119-1; MALASPINA_LEG6_121-1; MALASPINA_LEG6_126-1; MALASPINA_LEG7; MALASPINA_LEG7_131-1; MALASPINA_LEG7_135-1; MALASPINA_LEG7_140-1; MALASPINA_LEG7_142-1; MALASPINA_LEG7_146-1; MALASPINA-2010; Malaspina circumnavigation expedition; Malaspina cruise; mesopelagic; MH007_005; MH009_007; MH012_010; MH014_012; MH015_013; MH017_015; MH019_017; MH021_019; MH024_022; MH026_024; MH036_027; MH038_029; MH040_031; MH042_033; MH046_037; MH048_039; MH050_041; MH061_045; MH063_047; MH065_049; MH075_055; MH078_058; MH082_062; MH086_066; MH095_069; MH097_071; MH102_076; MH103_077; MH128_084; MH130_086; MH132_088; MH134_090; MH136_092; MH140_096; MH144_100; MH150_101; MH152_103; MH155_106; MH161_112; MH163_114; MH164_115; MH166_117; MH168_119; MH170_121; MH175_126; MH193_131; MH197_135; MH202_140; MH204_142; MH208_146; MSN300; Multiple opening/closing net, 300 µm meshsize; Norther Equatorial Pacific Ocean; Northern Equatorial Pacific Ocean; Optional event label; Southern Indian Ocean; Southern Pacific Ocean; Southern Subtropical Indian Ocean; Southern Subtropical Pacific Ocean; Southern Tropical Pacific Ocean; South Indian Ocean; Subtropical North Atlantic; SUMMER; Sustainable Management of Mesopelagic Resources; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management; Zooplankton, biomass as carbon; Zooplankton biomass
    Type: Dataset
    Format: text/tab-separated-values, 124 data points
    Location Call Number Expected Availability
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  • 47
    Publication Date: 2024-06-14
    Description: Carbon export (from the epipelagic towards the mesopelagic zone) and sequestration (from the mesopelagic towards the bathypelagic zone) in the ocean are reviewed. Particulate organic carbon (POC) flux, and active flux due to migrant zooplankton and micronekton are shown from the epipelagic to the mesopelagic zone, and from the latter to the bathypelagic zone. Values towards the meso- and bathypelagic zones are compared in oligotrophic and productive systems. Zooplankton and prokaryote respiration in the meso- and bathypelagic zones of the ocean are also reviewed for oligotrophic and productive systems. Values were integrated over a depth layer and are given as the flux or respiration under one square meter (in g/m**2/a) between e.g. 100 m and 1000 m depth.
    Keywords: active flux; biological carbon pump; Calculated, integrated over layer depth; Carbon, flux; Carbon, flux per year; Comment; Deep sea; Depth, description; DEPTH, water; MALASPINA-2010; Malaspina circumnavigation expedition; Ocean; Organisms; Parameter; passive flux; Reference/source; Respiration; Respiration rate, carbon; SUMMER; Sustainable Management of Mesopelagic Resources; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 902 data points
    Location Call Number Expected Availability
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  • 48
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    Unknown
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-06-14
    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; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; 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 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; 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; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 834601 data points
    Location Call Number Expected Availability
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  • 49
    facet.materialart.
    Unknown
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-06-14
    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; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; 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 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; 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; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 800337 data points
    Location Call Number Expected Availability
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  • 50
    facet.materialart.
    Unknown
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-06-14
    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; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; 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 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; 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; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 738717 data points
    Location Call Number Expected Availability
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