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  • 1
    Publication Date: 2024-05-14
    Description: The 9th Data Science Symposium was in Bremen, 4.-5. May 2024
    Repository Name: EPIC Alfred Wegener Institut
    Type: Other , notRev
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  • 2
    Publication Date: 2024-05-14
    Description: The thermokarst lakes of permafrost regions play a major role in the global carbon cycle. These lakes are sources of methane to the atmosphere although the methane flux is restricted by an ice cover for most of the year. How methane concentrations and fluxes in these waters are affected by the presence of an ice cover is poorly understood. To relate water body morphology, ice formation and methane to each other, we studied the ice of three different water bodies in locations typical of the transition of permafrost from land to ocean in a continuous permafrost coastal region in Siberia. In total, 11 ice cores were analyzed as records of the freezing process and methane composition during the winter season. The three water bodies differed in terms of connectivity to the sea, which affected fall freezing. The first was a bay underlain by submarine permafrost (Tiksi Bay, BY), the second a shallow thermokarst lagoon cut off from the sea in winter (Polar Fox Lagoon, LG) and the third a land-locked freshwater thermokarst lake (Goltsovoye Lake, LK). Ice on all water bodies was mostly methane-supersaturated with respect to atmospheric equilibrium concentration, except for three cores from the isolated lake. In the isolated thermokarst lake, ebullition from actively thawing basin slopes resulted in the localized integration of methane into winter ice. Stable δ13C-CH4 isotope signatures indicated that methane in the lagoon ice was oxidized to concentrations close to or below the calculated atmospheric equilibrium concentration. Increasing salinity during winter freezing led to a micro-environment on the lower ice surface where methane oxidation occurred and the lagoon ice functioned as a methane sink. In contrast, the ice of the coastal marine environment was slightly supersaturated with methane, consistent with the brackish water below. Our interdisciplinary process study shows how water body morphology affects ice formation which mitigates methane fluxes to the atmosphere.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 3
    Publication Date: 2024-05-14
    Description: The subglacial landscape of Antarctica records and influences the behaviour of its overlying ice sheet. However, in many places, the evolution of the landscape and its control on ice sheet behaviour have not been investigated in detail. Using recently released radio-echo sounding data, we investigate the subglacial landscape of the Evans–Rutford region of West Antarctica. Following quantitative analysis of the landscape morphology under ice-loaded and ice-unloaded conditions, we identify 10 flat surfaces distributed across the region. Across these 10 surfaces, we identify two distinct populations based on clustering of elevations, which potentially represent remnants of regionally coherent pre-glacial surfaces underlying the West Antarctic Ice Sheet (WAIS). The surfaces are bounded by deeply incised glacial troughs, some of which have potential tectonic controls. We assess two hypotheses for the evolution of the regional landscape: (1) passive-margin evolution associated with the break-up of the Gondwana supercontinent or (2) an extensive planation surface that may have been uplifted in association with either the West Antarctic Rift System or cessation of subduction at the base of the Antarctic Peninsula. We suggest that passive-margin evolution is the most likely of these two mechanisms, with the erosion of glacial troughs adjacent to, and incising, the flat surfaces likely having coincided with the growth of the WAIS. These flat surfaces also demonstrate similarities to other identified surfaces, indicating that a similar formational process may have been acting more widely around the Weddell Sea embayment. The subsequent fluctuations of ice flow, basal thermal regime, and erosion patterns of the WAIS are therefore controlled by the regional tectonic structures.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 4
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    Les Amis d'Acarologia
    In:  Acarologia vol. 64 no. 2, pp. 602-611
    Publication Date: 2024-05-14
    Description: New records of rare water mites mostly from interstitial habitat of New Zealand are presented. One new genus, Zelandostygolimnochares n. gen. (Piersigiidae) with the type species Z. curtipalpis n. sp. is described. Zelandobates occidentalis Smit & Pešić, 2020 is synonymized with Z. tongariro Smit & Pešić, 2020. The male is for the first time described for Zelandotonia orion Cook, 1992, and the female is for the first time described for Aciculacarus amalis Cook, 1983. New records of a number of rare species are presented.
    Keywords: new species; taxonomy; hyporheic mites; new records; New Zealand
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 5
    Publication Date: 2024-05-14
    Description: Type material of some South American species in the Museum für Naturkunde Berlin, belonging to different families is documented. It includes 16 species: Bulimus cuneus L. Pfeiffer, 1854, Bulimus proteus Broderip, 1832, Bulimus scalarioides L. Pfeiffer, 1867, Bulimus similaris J. Moricand, 1856, Andinia (Ehrmanniella) dedicata Weyrauch & Zilch, 1954, Helix hettneriana E. von Martens, 1897, Eurycampta hidalgonis Döring, 1877, Helix aequatoris L. Pfeiffer, 1860, Helix bituberculata L. Pfeiffer, 1853, Helix bourcieri L. Pfeiffer, 1853, Helix neogranadensis L. Pfeiffer, 1845, Cyclostoma (Cyclophorus) bourcieri L. Pfeiffer, 1854, and Helix platygyra Albers, 1857. The concept of the “salvation” of type material is explained.
    Keywords: Achatinidae ; Bulimulidae ; Clausiliidae ; Epiphragmophoridae ; Labyrinthidae ; Neocyclotidae ; Scolodontidae
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 6
    Publication Date: 2024-05-14
    Description: Here we report a well-preserved isolated physeteroid tooth of Late Miocene age from Liessel, the Netherlands. The presence of several morphological features allows attribution to the macroraptorial physeteroids. Size and morphology are to some extent comparable to Zygophyseter and almost identical to the primarily tooth-based Tortonian taxon Scaldicetus caretti. However, the genus Scaldicetus was declared unutilizable, which is supported here with an overview of modern classifications of Scaldicetus species and specimens. Despite the restrictions, the type species S. caretti is still valid, although the name is to be restricted to the type material. Based on its morphological resemblance, the tooth is identified as Physeteroidea indet. cf. Scaldicetus caretti.
    Keywords: Late Miocene ; macroraptorial physeteroid ; Scaldicetus caretti ; Zygophyseter
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 7
    Publication Date: 2024-05-14
    Description: Currently there are several problems with the genus-level taxa within the Scolodontidae. Multiple type-species designations have been proposed for some genera, type species are poorly described, and in some cases no clear decisions have been made in cases of homonymy or synonymy. This has resulted in wrongly identified species and genera within this group, which, among other problems, hinders the discovery and description of new species as well as the identification of known species. This paper is the first in a series in which all scolodontid genera will be redescribed based on type materials, starting with Happia Bourguignat, 1890 and its allies. Nomenclatural issues are resolved where possible. One new genus and a new species are described: Luteostriatella gen. nov. and Austroselenites pichinchense sp. nov. The following new combinations are made: Happia andia (Pilsbry, 1932) comb. nov., Systrophiella altivaga (Crawford, 1939) comb. nov., Systrophiella cayennensis (L. Pfeiffer, 1842) comb. nov., Systrophiella pygmea (Spix in Spix & Wagner, 1827) comb. nov., Systrophiella snethlagei (F. Baker, 1913) comb. nov., Systrophiella vitrina ( J.A. Wagner in Spix & Wagner, 1827) comb. nov., and Luteostriatella variegata (F. Haas, 1949) comb. nov.
    Keywords: Neotropics ; South America ; Mollusca ; Gastropoda ; Eupulmonata ; Scolodontina
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 8
    Publication Date: 2024-05-14
    Description: Heterozygous mutations in COL10A1 lead to metaphyseal chondrodysplasia type Schmid (MCDS), a skeletal disorder characterized by epiphyseal abnormalities. Prior analysis revealed impaired trimerization and intracellular retention of mutant collagen type X alpha 1 chains as cause for elevated endoplasmic reticulum (ER) stress. However, how ER stress translates into structural defects remained unclear. We generated a medaka (Oryzias latipes) MCDS model harboring a 5 base pair deletion in col10a1, which led to a frameshift and disruption of 11 amino acids in the conserved trimerization domain. col10a1D633a heterozygotes recapitulated key features of MCDS and revealed early cell polarity defects as cause for dysregulated matrix secretion and deformed skeletal structures. Carbamazepine, an ER stress -reducing drug, rescued this polarity impairment and alleviated skeletal defects in col10a1D633a heterozygotes. Our data imply cell polarity dysregulation as a potential contributor to MCDS and suggest the col10a1D633a medaka mutant as an attractive MCDS animal model for drug screening.
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 9
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-05-14
    Description: Manual measurements of sea ice thickness, sub-ice platelet layer thickness, freeboard, and snow thickness are distributed evenly and repeated along a 25km-long transect across Atka Bay every 2 to 4 weeks. At each measurement location, 5 holes were drilled through the ice in order to determine the aforementioned parameters, one in the center and one in a distance of five meters in each direction, to cover their small-scale spatial variabilities. The measurements have been mainly conducted by the meteorologist (Paul Ockenfuß) and Jess Bunchek, Tanguy Doron and Linda Ort of the overwintering team.
    Keywords: AFIN; Air temperature at 2 m height; Antarctic Fast Ice Network; ANT-Land_2021_AFIN; Atka_Ice_Port; ATKA03-2021; ATKA07-2021; ATKA11-2021; ATKA16-2021; ATKA21-2021; ATKA24-2021; Atka Bay; AWI_SeaIce; Comment; DATE/TIME; Digital thermometer; Event label; Freeboard; ICEM; Ice measurement; LATITUDE; LONGITUDE; NEUMAYER III; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; RULER; Ruler stick; Sample code/label; Sea Ice Physics @ AWI; Sea ice thickness; Snow thickness; SPP1158; Sub-ice platelet-layer thickness; Temperature, air; Temperature, ice/snow; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 902 data points
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  • 10
    Publication Date: 2024-05-14
    Description: Simrad EK60 echosounders (38 and 200 kHz) were deployed in the central Red Sea during several multiple-days periods between January 2014 and February 2016. Records were made in the deepest part of a ~700 m deep basin (22.5°N, 39.03°E) referred to as the Economic City Deep (ECDEEP) and at ~555 m along its sloping edge, and at a nearby 880 m deep station (22.08⁰N, 38.71⁰E). All locations were situated near the King Abdullah University of Science and Technology (KAUST) campus, Saudi Arabia. In the events marked by "bottom-mounted deployment" the echosounders were deployed on the bottom facing the surface. The floating mooring was connected to concrete weights by steel wires ensuring vertical orientation such that the transducers were located ca. 7 m off the bottom. The bottom-mounted deployments continuously recorded the movement and abundance of scattering layers and organisms over depth and time at a time resolution of ~0.5 pings/s. In the events marked by "profile", the echosounders were deployed facing downwards in a profile stopping at different depths for each ca. 15-30 minutes. During the profiles, a tungsten carbide (38.1 mm; theoretical target strength -42.3 dB and -38.9 dB on 38 and 200 kHz, respectively) calibration sphere was attached 10 m or 16 m below the echosounder rig as target strength reference. The dataset contains 12 events with in total 1317 raw proprietary Simrad EK60 data files with file sizes between 0.7 and 168 MB. The raw files include transducer configuration data and sample data (raw power (W) and angles (alongship and athwartship, °)).
    Keywords: Active bioacoustics; Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); bottom-moored; Calibration; DATE/TIME; DEPTH, water; Direction; ECDEEP; ECDEEP_APR_2014; ECDEEP_AUG_2014; ECDEEP_AUG_2014_TS; ECDEEP_FEB_2016; ECDEEP_JAN_2014; ECDEEP_JAN_2014_555m; ECDEEP_MAR_2015; ECDEEP_MAY_2015; ECDEEP_NOV_2014; ECDEEP_NOV_2014_TS; ECDEEP_SEPT_2014; ECDEEP_SEPT_2015; echosounder; Echosounder, Simrad EK60, vertical beam; EK60; Event label; Field observation; File format; Frequency; Latitude of event; Longitude of event; Model; Number of pings; Ping interval; Power, transmitted; Principal investigator; Pulse length, transmitted; Range; Red Sea; scattering layers; Squidstation; Station label; SUMMER; Sustainable Management of Mesopelagic Resources; Thuwal 2438; Thuwal-echo_012014; Thuwal-echo_012014_2; Thuwal-echo_022016; Thuwal-echo_032015; Thuwal-echo_042014; Thuwal-echo_052015; Thuwal-echo_082014; Thuwal-echo_082014_2; Thuwal-echo_092014; Thuwal-echo_092015; Thuwal-echo_112014; Thuwal-echo_112014_2
    Type: Dataset
    Format: text/tab-separated-values, 22389 data points
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  • 11
    Publication Date: 2024-05-14
    Description: From September 22nd to October 6th 2020, we collected water samples daily from the outlet of the Gaskabohki catchment, a small subarctic watershed at the mountainside of Iskorasfjellet in northern Norway, to investigate how DIC (dissolved inorganic carbon) and AT (total alkalinity) may change under different environmental forcing (changing precipitation and temperature). We further sampled weekly (3x) at three stations upstream of the outlet to track the changes of the carbonate system with distance from the spring. Besides this temporal examination, we also expanded the investigation spatially, by collecting water samples from seven further catchments, some of which stretch as far as the Barents Sea with different lithologies and varying extent of permafrost. At all sampling sites, we collected water samples for DIC and AT, δ13C-DIC, major and trace elements, and stable water isotopes (δ18O-H2O and δ2H-H2O). We also recorded water temperature, electrical conductivity and turbidity. Finally, at the outlet of the Gaskabohki catchment, we performed a discharge measurement once a day, at the same time as taking the water samples.
    Keywords: Alkalinity, total; Aluminium; Barium; Bromine; Calcium; Carbon, inorganic, dissolved; Catchment name; Cavity ring-down spectroscopy; Chloride; Conductivity, specific; Continuous Flow Isotope Ratio Mass Spectrometry (CF/IRMS); CRDS; DATE/TIME; DEPTH, water; Discharge; Event label; Fluoride; Helmholtz-Zentrum Hereon; Hereon; Inductively coupled plasma optical emission spectrometry (ICP-OES), Perkin-Elmer, Optima 8300DV; Ion chromatography; Iron; Iskorasfjellet, Norway; Isk-R-Ga1; Isk-R-Ga10; Isk-R-Ga11; Isk-R-Ga3; Isk-R-Ga5; Isk-R-Ga9; Isk-R-Ka1; Isk-R-Ka2; Isk-R-Ka3; Isk-R-Ka4; Isk-R-Ka5; LATITUDE; LONGITUDE; Magnesium; Manganese; Marsh-McBirney Model 2000 Flo-Mate portable flow meter; Multi-parameter meter, 3430 WTW; Nitrate; NO_Land_2020_Isokas; NO_Land_2020_Isokas_Stat_Isk-R-Ga1; NO_Land_2020_Isokas_Stat_Isk-R-Ga10; NO_Land_2020_Isokas_Stat_Isk-R-Ga11; NO_Land_2020_Isokas_Stat_Isk-R-Ga3; NO_Land_2020_Isokas_Stat_Isk-R-Ga5; NO_Land_2020_Isokas_Stat_Isk-R-Ga9; NO_Land_2020_Isokas_Stat_Isk-R-Ka1; NO_Land_2020_Isokas_Stat_Isk-R-Ka2; NO_Land_2020_Isokas_Stat_Isk-R-Ka3; NO_Land_2020_Isokas_Stat_Isk-R-Ka4; NO_Land_2020_Isokas_Stat_Isk-R-Ka5; Phosphorus; Potassium; Potentiometric titration (Metrohm 888 Titrando with an Aquatrode pH probe); Sample code/label; Sample method; Silicon; Sodium; Station label; Strontium; Sulfate; Temperature, water; Turbidity (Formazin nephelometric unit); Turbidity meter, 2100Qis, Hach Lange GmbH; VINDTA 3C for AT and Dissolved Inorganic Carbon measurement; Water sample; WS; δ13C, dissolved inorganic carbon; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 1347 data points
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  • 12
    Publication Date: 2024-05-14
    Description: 44 Southtek Iridium GPS drifters of types Offshore NOMAD-T V3 (33) and Offshore NOMAD V2 (11) were deployed in the marginal ice zone northwest of Svalbard as part of RV Polarstern expedition PS131 (ATWAICE) in July-August 2022. In addition to GPS position and time, the 33 NOMAD-T buoys also measured sea-surface temperatures. The 44 buoys were used for a total of 48 individual deployments, including 4 redeployments of recovered instruments, to either mark and track non-iridium instruments (6), to mark important sites (2), to track individual ice floes (1), or to elucidate the surface ocean currents as a complement to measurements obtained by the towed Triaxus system (31) or the ship-based CTD (8). The buoys were either thrown over board into open water, placed on sea ice, or attached to instruments. The measurement and transmission intervals were between 1 hour and 15 minutes, and were also partly reconfigured during operation. The drifter data were downloaded directly on board and displayed in the ship's Mapviewer software in near-real time, to facilitate navigation and to support the scientific program in decision-making. The attached .zip archive contains the original data files obtained from the Southtek server, which were partially modified to account for the 4 redeployments (indicated by "redeployed" in the filename), and to fill a data gap caused by an iridium data provider issue (indicated by "merged" in the filename). The files still include the deck test data, which needs to be removed according to the attached table with deployment metadata (including deployment time and position).
    Keywords: 2022P10004; 2022P10006; 2022P10007; 2022P10009; 2022P10010; 2022P10011; 2022P10012; 2022P10013; 2022P10014; 2022P10015; 2022P10016; 2022P10017; 2022P10018; 2022P10019; 2022P10020; 2022P10021; 2022P10022; 2022P10024; 2022P10025; 2022P10026; 2022P10027; 2022P10028; 2022P10029; 2022P10030; 2022P10031; 2022P10032; 2022P10033; 2022P10035; 2022P10036; 2022P10037; 2022P10038; 2022P10039; 2022P10040; 2022P10041; 2022P10042; 2022P10043; 2022P10044; 2022P10045; 2022P10046; 2022P10047; 2022P10048; 2022P10049; 2022P10050; 2022P10051; ATWAICE; AWI_PhyOce; Binary Object; Binary Object (File Size); Buoy; BUOY; File content; GPS buoy; mesoscale; ocean currents; Physical Oceanography @ AWI; Polarstern; PS131; PS131_100-2; PS131_101-2; PS131_102-2; PS131_47-1_10; PS131_47-1_11; PS131_47-1_12; PS131_47-1_9; PS131_48-1_15; PS131_48-1_16; PS131_49-1_15; PS131_55-10; PS131_55-11; PS131_55-2; PS131_55-3; PS131_55-4; PS131_55-5; PS131_55-6; PS131_55-7; PS131_55-8; PS131_55-9; PS131_59-3; PS131_59-4; PS131_61-9; PS131_64-2; PS131_64-3; PS131_64-4; PS131_64-5; PS131_64-6; PS131_64-7; PS131_66-2; PS131_66-3; PS131_67-1_9; PS131_70-2; PS131_90-3; PS131_90-4; PS131_90-5; PS131_95-10; PS131_95-2; PS131_95-3; PS131_95-4; PS131_95-5; PS131_95-6; PS131_95-7; PS131_95-8; PS131_95-9; PS131_96-2; PS131_97-2; PS131_98-2; sea ice drift; sea-surface temperature; trajectories
    Type: Dataset
    Format: text/tab-separated-values, 2 data points
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  • 13
    Publication Date: 2024-05-14
    Description: The Arctic Ocean is subject to high rates of ocean warming and acidification, with critical implications for marine organisms as well as ecosystems and the services they provide. Carbonate system data in the Arctic realm are spotty in space and time and, until recently, there was no time-series station measuring the carbonate chemistry at high frequency in this region, particularly in coastal waters. We report here on the first high-frequency (1 h), multi-year (6 years) dataset of salinity, temperature, dissolved inorganic carbon, total alkalinity, CO2 partial pressure (pCO2) and pH at a coastal site (12 m) in Kongsfjorden, Svalbard. We show that the choice of formulations for calculating the dissociation constants of the carbonic acid remains unsettled, (2) the water column is generally somewhat stratified despite the shallow depth, (3) the saturation state of calcium carbonate is subject to large seasonal changes but never reaches undersaturation (Oa ranges between 1.4 and 3.0) and (4) pCO2 is lower than atmospheric CO2 at all seasons, making this site a sink for atmospheric CO2.
    Keywords: ACROSS; Advanced Remote Sensing – Ground-Truth Demo and Test Facilities; Alkalinity, total; Arctic Biodiversity & Livelihoods; AWIPEV; AWIPEV_based; AWIPEV-CO2_FB; AWIPEV-CO2_NB; Bottle, Niskin; Carbon, inorganic, dissolved; Carbonate chemistry; Carbon dioxide, partial pressure; CO2; Coastal Observing System for Northern and Arctic Seas; COSYNA; CTD probe (SBE 38); DATE/TIME; FACE-IT; FBOX; FerryBox; FerryBox, SeaBird, SBE45; INTAROS; Integrated Arctic observation system; JERICO-NEXT; Joint European Research Infrastructure network for Coastal Observatory – Novel European eXpertise for coastal observaTories; Kongsberg Maritime, HydroC CO2 FT; Kongsfjorden, Svalbard; Modular Observation Solutions for Earth Systems; MOSES; Multiparameter probe, Sea & Sun Technology, CTD90; measured with Pole electrode cell, Manufacturer unknown, ADM 7; Multi parameter probe (CTD), Sea & Sun Technology GmbH, CTD90M; NIS; pH; Pressure, water; Salinity; Sea-Bird, SeaFET; SPEC; Spectrophotometer; Svalbard; Temperature, water; time-series
    Type: Dataset
    Format: text/tab-separated-values, 265805 data points
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  • 14
    Publication Date: 2024-05-14
    Description: A total of 15 OpenMetBuoys (OMBs) were deployed in the marginal ice zone northwest of Svalbard (array of 14 buoys) and on the fast ice off Greenland (one buoy) as part of RV Polarstern expedition PS131 (ATWAICE) in July - August 2022. The OMBs, also referred to as wave buoys, reported GPS position and wave spectra from 20-minute inertial motion averages at hourly intervals via the iridium satellite network. From these, significant wave height and peak wave period can be calculated. Two of the buoys ceased transmission within days of the deployment, while all other buoys recorded data for several weeks/months. The buoys were deployed on ice floes of various dimensions ranging from 15 m to as large as ~2km. The attached .zip archive contains a netcdf file incorporating all buoy data, several python scripts to read and process the data, as well as selected preliminary data quicklooks. The buoys were build and deployed as a collaboration between the Alfred-Wegener-Institute, the University of Tokyo, and the Norwegian Meteorological Institute.
    Keywords: 2022X1; 2022X10; 2022X11; 2022X12; 2022X13; 2022X14; 2022X15; 2022X2; 2022X3; 2022X4; 2022X5; 2022X6; 2022X7; 2022X8; 2022X9; ATWAICE; AWI_PhyOce; Binary Object; Binary Object (File Size); Buoy; BUOY; File content; Fram Strait; Physical Oceanography @ AWI; Polarstern; PS131; PS131_110-2; PS131_45-1_1; PS131_47-1_8; PS131_48-1_14; PS131_48-5; PS131_49-1_14; PS131_50-2; PS131_51-2; PS131_51-3; PS131_51-4; PS131_59-2; PS131_63-2_1; PS131_69-9; PS131_90-2; PS131_91-9; Sea ice; sea ice decay; wave buoy; wave height; waves; waves in ice; wave spectra
    Type: Dataset
    Format: text/tab-separated-values, 6 data points
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  • 15
    Publication Date: 2024-05-14
    Description: This dataset comprises the count data of organic-walled dinoflagellate cysts that were collected by the upper sediment trap on mooring CBi located offshore Cap Blanc, Mauritania between June 2003 and March 2020. The mooring coordinates varied between 20°44.9' - 20°45.7'N and 18°41.9' - 18°42.7'W at water depths between 1249 - 1364 m. The trap had a 0.5 m²opening aperture and material was collected at a 3 to 22 days resolution. In every sampling cup, the material was pre-fixed with HgCl2. Variation in the cyst flux and association composition provided insight into inter-annual to decadal natural and anthropogenic induced changes in the local upper water ecosystem and environment in this region that is characterized by year-round upwelling.
    Keywords: Archaeperidinium constrictum; Archaeperidinium minutum; Archaeperidinium saanichi; Ataxodinium choane; Biecheleria spp.; Bitectatodinium spongium; Brigantedinium spp.; Cape Blanc; Cape Blanc, Mauritania; CBeu1; CBeu10; CBeu11; CBeu12; CBeu13; CBeu14; CBeu15; CBeu16; CBeu17; CBeu2; CBeu3; CBeu4; CBeu5; CBeu6; CBeu7; CBeu8; CBeu9; Cbi-1; CBi-10; CBi-11; CBi-12; CBi-13; CBi-14; CBi-15; CBi-16; CBi-17; CBi-2; CBi-3; CBi-4; CBi-5; CBi-6; CBi-7; CBi-8; CBi-9; ClusterOceanFloor; Counted; Cruciform cysts; Cysts; Dalella chathamesis; Date/time end; Date/time start; DEPTH, water; Dinoflagellate cysts; Diplopelta symmetrica; Dubridinium spp.; Echinidinium aculeatum; Echinidinium bispiniformum; Echinidinium delicatum; Echinidinium granulatum; Echinidinium karaense; Echinidinium spp.; Echinidinium transparantum; Echinidinium zonneveldiae; Elevation of event; Event label; Gymnodinium spp.; Impagidinium aculeatum; Impagidinium paradoxum; Impagidinium patulum; Impagidinium plicatum; Impagidinium sphaericum; Impagidinium spp.; Impagidinium strialatum; Impagidinium variaseptum; Islandinium brevispinosum; Islandinium cezare; Islandinium minutum; Latitude of event; Leipokatium invisitatum; Lejeunecysta oliva; Lejeunecysta paratenella; Lejeunecysta sabrinum; Lingulodinium polyedra; Longitude of event; MOOR; Mooring; Nematosphaeropsis labyrinthus; Operculodinium centrocarpum; Operculodinium israelianum; Pentapharsodinium dalei; Polykrikos hartmanii; Polykrikos kofoidii; Polykrikos schwartzii; Polykrikos subquadratus; Polysphaeridium zoharyi; Protoperidinium americanum; Protoperidinium fukuyoi; Protoperidinium monospinum; Protoperidinium tricingulatum; Pyxidinopsis psilata; Pyxidinopsis reticulata; Quinquecuspis concreta; Sample code/label; Sample ID; sediment trap; Selenopemphix nephroides; Selenopemphix quanta; Selenopemphix undulata; Spiniferites membranaceus; Spiniferites mirabilis; Spiniferites pachydermus; Spiniferites ramosus; Spiniferites spp.; Stelladinium stellatum; Tectatodinium pellitum; The Ocean Floor - Earth's Uncharted Interface; Trinovantedinium applanatum; Trinovantedinium pallidifulvum; Upwelling; Votadinium calvum; Votadinium spinosum; Xandarodinium xanthum; Zygabicodinium spp.
    Type: Dataset
    Format: text/tab-separated-values, 29545 data points
    Location Call Number Expected Availability
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  • 16
    Publication Date: 2024-05-14
    Description: The Arctic Ocean is subject to high rates of ocean warming and acidification, with critical implications for marine organisms as well as ecosystems and the services they provide. Carbonate system data in the Arctic realm are spotty in space and time and, until recently, there was no time-series station measuring the carbonate chemistry at high frequency in this region, particularly in coastal waters. We report here on the first high-frequency (1 h), multi-year (6 years) dataset of salinity, temperature, dissolved inorganic carbon, total alkalinity, CO2 partial pressure (pCO2) and pH at a coastal site (12 m) in Kongsfjorden, Svalbard. We show that the choice of formulations for calculating the dissociation constants of the carbonic acid remains unsettled, (2) the water column is generally somewhat stratified despite the shallow depth, (3) the saturation state of calcium carbonate is subject to large seasonal changes but never reaches undersaturation (Oa ranges between 1.4 and 3.0) and (4) pCO2 is lower than atmospheric CO2 at all seasons, making this site a sink for atmospheric CO2.
    Keywords: ACROSS; Advanced Remote Sensing – Ground-Truth Demo and Test Facilities; Alkalinity, total; Arctic Biodiversity & Livelihoods; AWIPEV; AWIPEV_based; AWIPEV-CO2_FB; AWIPEV-CO2_NB; Bottle, Niskin; Carbon, inorganic, dissolved; Carbonate chemistry; Carbon dioxide, partial pressure; CO2; Coastal Observing System for Northern and Arctic Seas; COSYNA; CTD probe (SBE 38); DATE/TIME; FACE-IT; FBOX; FerryBox; FerryBox, SeaBird, SBE45; INTAROS; Integrated Arctic observation system; JERICO-NEXT; Joint European Research Infrastructure network for Coastal Observatory – Novel European eXpertise for coastal observaTories; Kongsberg Maritime, HydroC CO2 FT; Kongsfjorden, Svalbard; Modular Observation Solutions for Earth Systems; MOSES; Multiparameter probe, Sea & Sun Technology, CTD90; measured with Pole electrode cell, Manufacturer unknown, ADM 7; Multi parameter probe (CTD), Sea & Sun Technology GmbH, CTD90M; NIS; pH; Pressure, water; Salinity; Sea-Bird, SeaFET; SPEC; Spectrophotometer; Svalbard; Temperature, water; time-series
    Type: Dataset
    Format: text/tab-separated-values, 265805 data points
    Location Call Number Expected Availability
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  • 17
    Publication Date: 2024-05-14
    Description: During Polarstern expedition PS131 (ATWAICE: ATlantic WAter pathways to the ICE), a large number of autonomous instruments were installed on three representative ice floes across the marginal ice zone northwest of Svalbard in July 2022. The aim was to investigate sea ice summer melt processes, with a focus on the contribution of the Atlantic water inflow into the region. The attached .zip file includes raw data files obtained from all instruments deployed on the northernmost floe, also referred to as Floe North. Depending on the instrument, the data were transmitted via satellite, collected on internal memory, or both. The instruments were installed on Floe North on 13 July 2022, revisited for maintenance on 20 July 2022, and partially recovered on 30 July 2022. The sensors included 3 ADCPs in different configurations to measure ocean currents, a CTD buoy (SIT) with 6 SBE37IMP and an ECO Triplet fluorometer, a HOBO under-ice conductivity chain, 3 ice mass balance buoys (IMBs) of different types to determine ice surface and bottom melt, a radiation station equipped with 3 TriOS RAMSES radiometers to measure albedo and the under-ice light field, a Campbell Scientific weather station for atmospheric conditions, an OpenMetBuoy (OMB) and IMU logger for wave detection, a handful of GPS drifters to mark instruments, and 4 timelapse cameras to document surface changes. All instruments performed as expected, except one S1000 ADCP that failed due to power issues. All but three instruments (one OpenMetBuoy, one SVP, and one IMB) were recovered before leaving the study area on 30 July. The processed data will be provided and linked to when available.
    Keywords: Arctic; Arctic Ocean; Atlantic Water; ATWAICE; AWI_PhyOce; AWI_SeaIce; Binary Object; Binary Object (File Size); buoys; File content; ICE; Ice station; marginal ice zone; Observatory; Physical Oceanography @ AWI; Polarstern; PS131; PS131_47-1; PS131_67-1; PS131_89-1; sea ice melt; Sea Ice Physics @ AWI; summer
    Type: Dataset
    Format: text/tab-separated-values, 4 data points
    Location Call Number Expected Availability
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  • 18
    Publication Date: 2024-05-14
    Description: During Polarstern expedition PS131 (ATWAICE: ATlantic WAter pathways to the ICE), a large number of autonomous instruments were installed on three representative ice floes across the marginal ice zone northwest of Svalbard in July 2022. The aim was to investigate sea ice summer melt processes, with a focus on the contribution of the Atlantic water inflow into the region. The attached .zip file includes raw data files obtained from all instruments deployed on the southernmost floe, also referred to as Floe South. Depending on the instrument, the data were transmitted via satellite, collected on internal memory, or both. The instruments were installed on Floe South on 14 July 2022, revisited for maintenance on 21 July 2022, and partially recovered on 31 July 2022. The sensors included 1 ADCP to measure ocean currents, a CTD buoy (SIT) with 5 SBE37IMP, a SIMBA- and a SIMB-type ice mass balance buoy to determine ice surface and bottom melt, an OpenMetBuoy (OMB) and iridium IMU logger for wave detection, two GPS drifters, and 2 timelapse cameras to document surface changes. All instruments performed as expected. All instruments except one OpenMetBuoy were recovered before leaving the study area on 31 July. The processed data will be provided and linked to when available.
    Keywords: Arctic; Arctic Ocean; Atlantic Water; ATWAICE; AWI_PhyOce; AWI_SeaIce; Binary Object; Binary Object (File Size); buoys; File content; ICE; Ice station; marginal ice zone; Observatory; Physical Oceanography @ AWI; Polarstern; PS131; PS131_48-1; PS131_68-1; PS131_92-1; sea ice melt; Sea Ice Physics @ AWI; summer
    Type: Dataset
    Format: text/tab-separated-values, 4 data points
    Location Call Number Expected Availability
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  • 19
    Publication Date: 2024-05-14
    Description: Here we provide particle size and biovolume distribution data from an Underwater Vision Profiler 6, mounted on a BGC Argo Float with the WMO number 6903095. The float was deployed in a cyclonic eddy off Cape Columbine, South Africa on the 13 April 2021 close to the eddy center at 33.07 degree South, 13.89 degree East. Parking depth was set at 300 m and profiling depth initially to 600 m and later increased to 1000 m depth to maintain the float in the eddy. Profiling frequency was every three days. It stayed within this eddy for about five months and then operated East and Southeast of South Africa until it was deliberately picked up on the 17 September 2022 at 34.43 degrees South and 10.21 degrees East.
    Keywords: 0000a_WMO6903095; 0000p_WMO6903095; 0001a_WMO6903095; 0001p_WMO6903095; 0002a_WMO6903095; 0002p_WMO6903095; 0003a_WMO6903095; 0003p_WMO6903095; 0004a_WMO6903095; 0004p_WMO6903095; 0005a_WMO6903095; 0005p_WMO6903095; 0006a_WMO6903095; 0006p_WMO6903095; 0007a_WMO6903095; 0007p_WMO6903095; 0008a_WMO6903095; 0008p_WMO6903095; 0009a_WMO6903095; 0009p_WMO6903095; 0010a_WMO6903095; 0010p_WMO6903095; 0011a_WMO6903095; 0011p_WMO6903095; 0012a_WMO6903095; 0012p_WMO6903095; 0013a_WMO6903095; 0013p_WMO6903095; 0014a_WMO6903095; 0014p_WMO6903095; 0015a_WMO6903095; 0015p_WMO6903095; 0016a_WMO6903095; 0016p_WMO6903095; 0017a_WMO6903095; 0017p_WMO6903095; 0018a_WMO6903095; 0018p_WMO6903095; 0019a_WMO6903095; 0019p_WMO6903095; 0020a_WMO6903095; 0020p_WMO6903095; 0021a_WMO6903095; 0021p_WMO6903095; 0022a_WMO6903095; 0022p_WMO6903095; 0023a_WMO6903095; 0023p_WMO6903095; 0024a_WMO6903095; 0024p_WMO6903095; 0025a_WMO6903095; 0025p_WMO6903095; 0026a_WMO6903095; 0026p_WMO6903095; 0027a_WMO6903095; 0027p_WMO6903095; 0028a_WMO6903095; 0028p_WMO6903095; 0029a_WMO6903095; 0029p_WMO6903095; 0030a_WMO6903095; 0030p_WMO6903095; 0031a_WMO6903095; 0031p_WMO6903095; 0032a_WMO6903095; 0032p_WMO6903095; 0033a_WMO6903095; 0033p_WMO6903095; 0034a_WMO6903095; 0034p_WMO6903095; 0035a_WMO6903095; 0035p_WMO6903095; 0036a_WMO6903095; 0036p_WMO6903095; 0037a_WMO6903095; 0037p_WMO6903095; 0038a_WMO6903095; 0038p_WMO6903095; 0039a_WMO6903095; 0039p_WMO6903095; 0040a_WMO6903095; 0040p_WMO6903095; 0041a_WMO6903095; 0041p_WMO6903095; 0042a_WMO6903095; 0042p_WMO6903095; 0043a_WMO6903095; 0043p_WMO6903095; 0044a_WMO6903095; 0044p_WMO6903095; 0045a_WMO6903095; 0045p_WMO6903095; 0046a_WMO6903095; 0046p_WMO6903095; 0047a_WMO6903095; 0047p_WMO6903095; 0048a_WMO6903095; 0048p_WMO6903095; 0049a_WMO6903095; 0049p_WMO6903095; 0050a_WMO6903095; 0050p_WMO6903095; 0051a_WMO6903095; 0051p_WMO6903095; 0052a_WMO6903095; 0052p_WMO6903095; 0053a_WMO6903095; 0053p_WMO6903095; 0054a_WMO6903095; 0054p_WMO6903095; 0055a_WMO6903095; 0055p_WMO6903095; 0056a_WMO6903095; 0056p_WMO6903095; 0057a_WMO6903095; 0057p_WMO6903095; 0058a_WMO6903095; 0058p_WMO6903095; 0059a_WMO6903095; 0059p_WMO6903095; 0060a_WMO6903095; 0060p_WMO6903095; 0061a_WMO6903095; 0061p_WMO6903095; 0062a_WMO6903095; 0062p_WMO6903095; 0063a_WMO6903095; 0063p_WMO6903095; 0064a_WMO6903095; 0064p_WMO6903095; 0065a_WMO6903095; 0065p_WMO6903095; 0066a_WMO6903095; 0066p_WMO6903095; 0067a_WMO6903095; 0067p_WMO6903095; 0068a_WMO6903095; 0068p_WMO6903095; 0069a_WMO6903095; 0069p_WMO6903095; 0070a_WMO6903095; 0070p_WMO6903095; 0071a_WMO6903095; 0071p_WMO6903095; 0072a_WMO6903095; 0072p_WMO6903095; 0073a_WMO6903095; 0073p_WMO6903095; 0074a_WMO6903095; 0074p_WMO6903095; 0075a_WMO6903095; 0075p_WMO6903095; 0076a_WMO6903095; 0076p_WMO6903095; 0077a_WMO6903095; 0077p_WMO6903095; 0078a_WMO6903095; 0078p_WMO6903095; 0079a_WMO6903095; 0079p_WMO6903095; 0080a_WMO6903095; 0080p_WMO6903095; 0081a_WMO6903095; 0081p_WMO6903095; 0082a_WMO6903095; 0082p_WMO6903095; 0083a_WMO6903095; 0083p_WMO6903095; 0084a_WMO6903095; 0084p_WMO6903095; 0085a_WMO6903095; 0085p_WMO6903095; 0086a_WMO6903095; 0086p_WMO6903095; 0087a_WMO6903095; 0087p_WMO6903095; 0088a_WMO6903095; 0088p_WMO6903095; 0089a_WMO6903095; 0089p_WMO6903095; 0090a_WMO6903095; 0090p_WMO6903095; 0091a_WMO6903095; 0091p_WMO6903095; 0092a_WMO6903095; 0092p_WMO6903095; 0093a_WMO6903095; 0093p_WMO6903095; 0094a_WMO6903095; 0094p_WMO6903095; 0095a_WMO6903095; 0095p_WMO6903095; 0096a_WMO6903095; 0096p_WMO6903095; 0097a_WMO6903095; 0097p_WMO6903095; 0098a_WMO6903095; 0098p_WMO6903095; 0099a_WMO6903095; 0099p_WMO6903095; 0100a_WMO6903095; 0100p_WMO6903095; 0101a_WMO6903095; 0101p_WMO6903095; 0102a_WMO6903095; 0102p_WMO6903095; 0103a_WMO6903095; 0103p_WMO6903095; 0104a_WMO6903095; 0104p_WMO6903095; 0105a_WMO6903095; 0105p_WMO6903095; 0106a_WMO6903095; 0106p_WMO6903095; 0107a_WMO6903095; 0107p_WMO6903095; 0108a_WMO6903095; 0108p_WMO6903095; 0109a_WMO6903095; 0109p_WMO6903095; 0110a_WMO6903095; 0110p_WMO6903095; 0111a_WMO6903095; 0111p_WMO6903095; 0112a_WMO6903095; 0112p_WMO6903095; 0113a_WMO6903095; 0113p_WMO6903095; 0114a_WMO6903095; 0114p_WMO6903095; 0115a_WMO6903095; 0115p_WMO6903095; 0116a_WMO6903095; 0116p_WMO6903095; 0117a_WMO6903095; 0117p_WMO6903095; 0118a_WMO6903095; 0118p_WMO6903095; 0119a_WMO6903095; 0119p_WMO6903095; 0120a_WMO6903095; 0120p_WMO6903095; 0121a_WMO6903095; 0121p_WMO6903095; 0122a_WMO6903095; 0122p_WMO6903095; 0123a_WMO6903095; 0123p_WMO6903095; 0124a_WMO6903095; 0124p_WMO6903095; 0125a_WMO6903095; 0125p_WMO6903095; 0126a_WMO6903095; 0126p_WMO6903095; 0127a_WMO6903095; 0127p_WMO6903095; 0128a_WMO6903095; 0128p_WMO6903095; 0129a_WMO6903095; 0129p_WMO6903095; 0130a_WMO6903095; 0130p_WMO6903095; 0131a_WMO6903095; 0131p_WMO6903095; 0132a_WMO6903095; 0132p_WMO6903095; 0133a_WMO6903095; 0133p_WMO6903095; 0134a_WMO6903095; 0134p_WMO6903095; 0135a_WMO6903095; 0135p_WMO6903095; 0136a_WMO6903095; 0136p_WMO6903095; 0137a_WMO6903095; 0137p_WMO6903095; 0138a_WMO6903095; 0138p_WMO6903095; 0139a_WMO6903095; 0139p_WMO6903095; 0140a_WMO6903095; 0140p_WMO6903095; 0141a_WMO6903095; 0141p_WMO6903095; 0142a_WMO6903095; 0142p_WMO6903095; 0143a_WMO6903095; 0143p_WMO6903095; 0144a_WMO6903095; 0144p_WMO6903095; 0145a_WMO6903095; 0145p_WMO6903095; 0146a_WMO6903095; 0146p_WMO6903095; 0147a_WMO6903095; 0147p_WMO6903095; 0148a_WMO6903095; 0148p_WMO6903095; 0149a_WMO6903095; 0149p_WMO6903095; 0150a_WMO6903095; 0150p_WMO6903095; 0151a_WMO6903095; 0151p_WMO6903095; 0152a_WMO6903095; 0152p_WMO6903095; 0153a_WMO6903095; 0153p_WMO6903095; 0154a_WMO6903095; 0154p_WMO6903095; 0155a_WMO6903095; 0155p_WMO6903095; 0156a_WMO6903095; 0156p_WMO6903095; 0157a_WMO6903095; 0157p_WMO6903095; 0158a_WMO6903095; 0158p_WMO6903095; 0159a_WMO6903095; 0159p_WMO6903095; 0160a_WMO6903095; 0160p_WMO6903095; 0161a_WMO6903095; 0161p_WMO6903095; 0162a_WMO6903095; 0162p_WMO6903095; 0163a_WMO6903095; 0163p_WMO6903095; 0164a_WMO6903095; 0164p_WMO6903095; 0165a_WMO6903095; 0165p_WMO6903095; 0166a_WMO6903095; 0166p_WMO6903095; 0167a_WMO6903095; 0167p_WMO6903095; 0168a_WMO6903095; 0168p_WMO6903095; 0169a_WMO6903095; 0169p_WMO6903095; 0170a_WMO6903095; 0170p_WMO6903095; 0171a_WMO6903095; 0171p_WMO6903095; 0172a_WMO6903095; 0172p_WMO6903095; 0173a_WMO6903095; 0173p_WMO6903095; 0174a_WMO6903095; 0174p_WMO6903095; 0175a_WMO6903095; 0175p_WMO6903095; 0176a_WMO6903095; 0176p_WMO6903095; 0177a_WMO6903095; 0177p_WMO6903095; 0178a_WMO6903095; 0178p_WMO6903095; 0179a_WMO6903095; 0179p_WMO6903095; 0180a_WMO6903095; 0180p_WMO6903095; 0181a_WMO6903095; 0181p_WMO6903095; 0182a_WMO6903095; 0182p_WMO6903095; 0183a_WMO6903095; 0183p_WMO6903095; ARGOFL; Argo float; Biovolume; DATE/TIME; Event label; in situ imaging; LATITUDE; LONGITUDE; MOPGA-TAD; Particle concentration, fractionated; particle distribution; Pressure, water; Sample code/label; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management; Tropical Atlantic Deoxygenation: gateway dynamics, feedback mechanisms and ecosystem impacts; Volume
    Type: Dataset
    Format: text/tab-separated-values, 2518238 data points
    Location Call Number Expected Availability
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  • 20
    Publication Date: 2024-05-14
    Description: The dataset contains temperature, salinity, oxygen saturation, chlorophyll a and turbidity data from the Helgoland MarGate underwater observatory from the year 2022 in a temporal resolution of 1 hour. The cabled observatory is located in 10m water depth and comprises single or multiple sensors for a specific parameter (see https://www.awi.de/en/science/biosciences/shelf-sea-system-ecology/main-research-focus/cosyna/underwater-node-helgoland.html). For a detailed description of the data see associated metadatafile metadata_heluwobs_2022_hydrography.pdf.
    Keywords: ACROSS; Advanced Remote Sensing – Ground-Truth Demo and Test Facilities; Alfred-Wegener-Institute; BAH; Chlorophyll a; Chlorophyll a, confidence value; Coastal Observing System for Northern and Arctic Seas; COSYNA; DATE/TIME; Helgoland, North Sea; Helgoland-UWO; Hereon; in situ observations; MarGate; MarGate underwater experimental area; Modular Observation Solutions for Earth Systems; MOSES; OBSE; Observation; Observatory; observatory data; Oxygen saturation; Oxygen saturation, confidence value; Salinity; Salinity, confidence value; Scientific diving; See further details: Metadata for the Helgoland underwater observatory; Shelf Seas Systems Ecology @ AWI (former Biologische Anstalt Helgoland); Temperature, water; Temperature, water, confidence value; Turbidity, confidence value; Turbidity (Formazin Turbidity Unit)
    Type: Dataset
    Format: text/tab-separated-values, 49614 data points
    Location Call Number Expected Availability
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  • 21
    Publication Date: 2024-05-14
    Description: During Polarstern expedition PS131 (ATWAICE: ATlantic WAter pathways to the ICE), a large number of autonomous instruments were installed on three representative ice floes across the marginal ice zone northwest of Svalbard in July 2022. The aim was to investigate sea ice summer melt processes, with a focus on the contribution of the Atlantic water inflow into the region. The attached .zip file includes raw data files obtained from all instruments deployed on Floe Middle, located between Floe North and Floe South. Depending on the instrument, the data were transmitted via satellite, collected on internal memory, or both. The instruments were installed on Floe Middle on 15 July 2022, revisited for maintenance on 22 July 2022, and partially recovered on 31 July 2022. The sensors included 1 ADCP to measure ocean currents, a CTD buoy (SIT) with 5 SBE37IMP and 3 SBE56, a SIMBA-type ice mass balance buoy to determine ice surface and bottom melt, an OpenMetBuoy (OMB) and IMU logger for wave detection, one GPS drifter to mark the ADCP, and 3 timelapse cameras to document surface changes. All instruments performed as expected. All instruments except one OpenMetBuoy were recovered before leaving the study area on 31 July. The processed data will be provided and linked to when available.
    Keywords: Arctic; Arctic Ocean; Atlantic Water; ATWAICE; AWI_PhyOce; AWI_SeaIce; Binary Object; Binary Object (File Size); buoys; File content; ICE; Ice station; marginal ice zone; Observatory; Physical Oceanography @ AWI; Polarstern; PS131; PS131_49-1; PS131_70-1; PS131_93-1; sea ice melt; Sea Ice Physics @ AWI; summer
    Type: Dataset
    Format: text/tab-separated-values, 4 data points
    Location Call Number Expected Availability
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  • 22
    Publication Date: 2024-05-14
    Description: Offshore wind energy is a steadily growing sector contributing to the worldwide energy production. The impact of these offshore constructions on the marine environment, however, remains unclear in many aspects. In fact, little is known about potential emissions from corrosion protection systems such as organic coatings or galvanic anodes composed of Al and Zn alloys, used to protect offshore structures. In order to assess potential chemical emissions from offshore wind farms and their impact on the marine environment water and sediment samples were taken in and around offshore wind farms of the German Bight between 22.07.2020 and 25.07.2020 within the context of the Hereon-BSH project OffChEm. At every sampling station oceanographic parameters were measured directly on board with respective probes of a multimeter for pH, dissolved oxygen, temperature and conductivity. Additionally the current associated weather conditions (temperature in air, wind speed, air pressure) were noted from the ship system.
    Keywords: AIR; Air sample; ALTITUDE; Conductivity; Date/Time of event; DEPTH, water; Elevation of event; Event label; GOFLO; Go-Flo bottles; Helmholtz-Zentrum Hereon; Hereon; Latitude of event; Longitude of event; LP20200629; LP20200629_Stat_001_Kugelbake_Air; LP20200629_Stat_001_Kugelbake_KBA_WS; LP20200629_Stat_002_Lt_Vogelsand_Air; LP20200629_Stat_002_Lt_Vogelsand_KBA_WS; LP20200629_Stat_003_CuxSyl01_Air; LP20200629_Stat_003_CuxSyl01_KBA_WS; LP20200629_Stat_004_CuxSyl02_Air; LP20200629_Stat_004_CuxSyl02_KBA_WS; LP20200629_Stat_005_KS11_Air; LP20200629_Stat_005_KS11_KBA_Wat_2L_05m; LP20200629_Stat_008_AMWE22_Air; LP20200629_Stat_008_AMWE22_KBA_WS; LP20200629_Stat_009_AMWE21_Air; LP20200629_Stat_009_AMWE21_KBA_WS; LP20200629_Stat_010_AMWE4_Air; LP20200629_Stat_010_AMWE4_KBA_WS; LP20200629_Stat_011_AMWE3_Air; LP20200629_Stat_011_AMWE3_KBA_WS; LP20200629_Stat_012_AMWE15_Air; LP20200629_Stat_012_AMWE15_KBA_WS; LP20200629_Stat_013_AMWE23_Air; LP20200629_Stat_013_AMWE23_KBA_WS; LP20200629_Stat_014_AMWE20_Air; LP20200629_Stat_014_AMWE20_KBA_WS; LP20200629_Stat_015_AMWE24_Air; LP20200629_Stat_015_AMWE24_KBA_WS; LP20200629_Stat_016_AMWE19_Air; LP20200629_Stat_016_AMWE19_KBA_WS; LP20200629_Stat_017_NOST4_Air; LP20200629_Stat_017_NOST4_KBA_WS; LP20200629_Stat_018_NOST1_Air; LP20200629_Stat_018_NOST1_KBA_WS; LP20200629_Stat_019_HELW5_Air; LP20200629_Stat_019_HELW5_KBA_WS; LP20200629_Stat_020_HELW1_Air; LP20200629_Stat_020_HELW1_KBA_WS; LP20200629_Stat_021_NOST35_Air; LP20200629_Stat_021_NOST35_KBA_WS; LP20200629_Stat_022_NOAH_E_5_Air; LP20200629_Stat_022_NOAH_E_5_KBA_WS; LP20200629_Stat_023_NOST43_Air; LP20200629_Stat_023_NOST43_KBA_WS; LP20200629_Stat_024_NOST42_Air; LP20200629_Stat_024_NOST42_KBA_WS; LP20200629_Stat_025_NOST3_Air; LP20200629_Stat_025_NOST3_KBA_WS; LP20200629_Stat_026_TI7_Air; LP20200629_Stat_026_TI7_KBA_WS; LP20200629_Stat_027_MEWI36_Air; LP20200629_Stat_027_MEWI36_KBA_WS; LP20200629_Stat_028_MEWI37_Air; LP20200629_Stat_028_MEWI37_KBA_WS; LP20200629_Stat_029_MEWI1_Air; LP20200629_Stat_029_MEWI1_KBA_WS; LP20200629_Stat_030_MEWI41_Air; LP20200629_Stat_030_MEWI41_KBA_WS; LP20200629_Stat_031_MEWI40_Air; LP20200629_Stat_031_MEWI40_KBA_WS; LP20200629_Stat_032_MEWI3_Air; LP20200629_Stat_032_MEWI3_KBA_WS; LP20200629_Stat_033_MEWI38_Air; LP20200629_Stat_033_MEWI38_KBA_WS; LP20200629_Stat_042_GOWI27_Air; LP20200629_Stat_042_GOWI27_KBA_WS; LP20200629_Stat_044_GOWI20_Air; LP20200629_Stat_044_GOWI20_KBA_WS; LP20200629_Stat_045_GOWI24_Air; LP20200629_Stat_045_GOWI24_KBA_WS; LP20200629_Stat_048_GOWI4_Air; LP20200629_Stat_048_GOWI4_KBA_WS; LP20200629_Stat_049_GOWI3_Air; LP20200629_Stat_049_GOWI3_KBA_WS; LP20200629_Stat_050_GOWI2_Air; LP20200629_Stat_050_GOWI2_KBA_WS; LP20200629_Stat_055_GOWI29_Air; LP20200629_Stat_055_GOWI29_KBA_WS; LP20200629_Stat_056_GOWI28_Air; LP20200629_Stat_056_GOWI28_KBA_WS; LP20200629_Stat_057_GOWI11_Air; LP20200629_Stat_057_GOWI11_KBA_WS; LP20200629_Stat_059_GOWI52_Air; LP20200629_Stat_059_GOWI52_KBA_WS; LP20200629_Stat_060_GOWI6_Air; LP20200629_Stat_060_GOWI6_KBA_WS; LP20200629_Stat_063_NOAH_D_5_Air; LP20200629_Stat_063_NOAH_D_5_KBA_WS; Ludwig Prandtl; Multi-parameter meter, 3430 WTW; North Sea; Oxygen; pH; Pressure, atmospheric; Sample code/label; Sample method; Stat_001_Kugelbake; Stat_002_Lt_Vogelsand; Stat_003_CuxSyl01; Stat_004_CuxSyl02; Stat_005_KS11; Stat_008_AMWE22; Stat_009_AMWE21; Stat_010_AMWE4; Stat_011_AMWE3; Stat_012_AMWE15; Stat_013_AMWE23; Stat_014_AMWE20; Stat_015_AMWE24; Stat_016_AMWE19; Stat_017_NOST4; Stat_018_NOST1; Stat_019_HELW5; Stat_020_HELW1; Stat_021_NOST35; Stat_022_NOAH_E_5; Stat_023_NOST43; Stat_024_NOST42; Stat_025_NOST3; Stat_026_TI7; Stat_027_MEWI36; Stat_028_MEWI37; Stat_029_MEWI1; Stat_030_MEWI41; Stat_031_MEWI40; Stat_032_MEWI3; Stat_033_MEWI38; Stat_042_GOWI27; Stat_044_GOWI20; Stat_045_GOWI24; Stat_048_GOWI4; Stat_049_GOWI3; Stat_050_GOWI2; Stat_055_GOWI29; Stat_056_GOWI28; Stat_057_GOWI11; Stat_059_GOWI52; Stat_060_GOWI6; Stat_063_NOAH_D_5; Station label; Temperature, air; Temperature, water; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 537 data points
    Location Call Number Expected Availability
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  • 23
    Publication Date: 2024-05-14
    Description: High-resolution observations of under ice currents were collected using a 5-beam acoustic Doppler current profiler (ADCP) during the RV Polarstern cruise PS131 to the Marginal Ice Zone on Yermak Plateau in summer 2022. The Nortek Signature1000 ADCP (SN 100154) was deployed on a drifting ice floe. It was set up with an external 540 Wh Alkaline battery in a storm case. The ADCP was pointing downwards, attached to a rod, protruding approximately 0.5 m below the underside of the ice, which was approximately 1.8 m thick. It was secured with buoyancy. The instrument was deployed in water on 13 July 2022, 15:25 UTC, and recovered on 30 July 2022, 08:05 UTC. A GPS tracker (2022P10017 / 610) was located next to the ADCP, the raw data of this trajectory are archived here: https://doi.pangaea.de/10.1594/PANGAEA.959001 (event PS131_47-1_9). The ADCP has 5 beams (4 in Janus configuration and one vertical beam) and is equipped with the high-resolution (HR) feature giving high-quality pulse-to-pulse coherent profiles for turbulence measurements. We used a concurrent plan with average profiles and bursts using 5 beams. Average profiles were obtained as 60 s averages every 5 minutes with 20% measurement load, starting from 0.2 m from the transducer to 18 m, with 1 m cell sizes. The HR profiles were obtained with 5 cm cell sizes between 0.1 to 2.5 m from the transducers, with 2.85 m pulse distance at maximum power level. Bursts were obtained every 30 minutes at 4 Hz as 4096 (about 17 min) samples, in beam coordinate system. In this configuration horizontal precision is 0.99 cm/s, and vertical precision is 0.33 cm/s for the average profiles. The estimated maximum length of using the provided battery was 67 days. During the second visit of the floe on 20 July 2022, at approximately 20:35 UTC, the instrument was removed from the hole for cleaning the hole and placed back in a similar heading orientation. This action is visible in the time series of pressure, pitch, and heading. The dataset includes the data downloaded from the instrument in its native binary format as well as the data converted into physical units using Nortek's Signature Deployment software. The converted data are provided in MATLAB format, exported using the Signature Deployment software. This software, the instrument setup file and the configuration files are also provided.
    Keywords: Acoustic Doppler Current Profiling (ADCP), Nortek, Signature1000; ADCP; Arctic Ocean; ATWAICE; AWI_PhyOce; Binary Object; Binary Object (File Size); boundary layer; dissipation rate; Event label; File content; ice-ocean interaction; Nortek S1000 ADCP; Physical Oceanography @ AWI; Polarstern; PS131; PS131_47-1_13; turbulence
    Type: Dataset
    Format: text/tab-separated-values, 10 data points
    Location Call Number Expected Availability
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  • 24
    facet.materialart.
    Unknown
    PANGAEA
    In:  Italian National Agency for New Technologies, Energy and Sustainable Economic Development
    Publication Date: 2024-05-14
    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; Lampedusa; LMP; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Mediterranean; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 211437, WRMC No. 90103; Pyranometer, Kipp & Zonen, CMP22, SN 190619, WRMC No. 90100; Pyrgeometer, Kipp & Zonen, CGR4, SN 190329, WRMC No. 90200; Pyrheliometer, Kipp & Zonen, CHP 1, SN 110532, WRMC No. 90001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 836516 data points
    Location Call Number Expected Availability
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  • 25
    Publication Date: 2024-05-14
    Description: Snow height was measured by the Snow Buoy 2021S89, an autonomous platform, installed in the Atka Bay, Antarctic during Antarctic Fast Ice Network 2021 (AFIN 2021). The resulting time series describes the evolution of snow height as a function of place and time between 07 Jul 2021 and 20 Jan 2022 in sample intervals of 1 hour. The Snow Buoy consists of four independent sonar measurements representing the area (approx. 10 m**2) around the buoy. The buoy was installed on fast ice. In addition to snow height, geographic position (GPS), barometric pressure, air temperature, and an internal ice temperature were measured. Negative values of snow height occur if surface ablation continues into the sea ice. Thus, these measurements describe the position of the sea ice surface relative to the original snow-ice interface. Differences between single sensors indicate small-scale variability of the snow pack around the buoy. The data set has been processed and contains quality flags for different kinds for erroneous data. Flag values are the sum of individual error codes. The value of 0 refers to no error. Quality flag, position: The geographic position is flagged +1 if the drift velocity, as derived from the GPS longitude and latitude, exceeds a threshold of 10 deg latitude or 50 deg longitude per time step; +2 if the position exceeds extreme values, such as longitude 〉 360 deg; +4 if the position is exactly 0.0. Quality flag, snow: The snow height is flagged for each sensor +1 for manual corrections during processing (e.g. sensor issues); +2 if the snow accumulation exceeds 0.1 m per hour; +4 if the difference in snow height is larger than 0.03 m compared to values within the last and next 2 hours; +32 if the value exceeds the height of sensor on the platform at 1.5 m. Quality flag, temperature: The air temperature is flagged +1 for manual corrections during processing (e.g. sensor issues); + 32 if the value is below – 50 °C. Quality flag, pressure: The barometric pressure is flagged +1 for manual corrections during processing (e.g. sensor issues).
    Keywords: 2021S89, AFIN 2021; AFIN; Antarctic Fast Ice Network; ANT-Land_2021_AFIN; ANT-Land_2021_AFIN_2021S89; autonomous platform; AWI_SeaIce; buoy; BUOY_SNOW; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; Global positioning system, time since last fix; LATITUDE; LONGITUDE; meereisportal.de; NEUMAYER III; Pressure, atmospheric; Quality flag, air temperature; Quality flag, atmospheric pressure; Quality flag, position; Quality flag, snow height; Quality flag, technical temperature; Sea ice; Sea Ice Physics @ AWI; Snow buoy; snow depth; Snow height; Temperature, air; Temperature, technical
    Type: Dataset
    Format: text/tab-separated-values, 75312 data points
    Location Call Number Expected Availability
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  • 26
    Publication Date: 2024-05-14
    Description: Snow height was measured by the Snow Buoy 2022S110, an autonomous platform, installed in the Atka Bay, Antarctic during Antarctic Fast Ice Network 2022 (AFIN 2022). The resulting time series describes the evolution of snow height as a function of place and time between 29 Jun 2022 and 29 Jan 2023 in sample intervals of 1 hour. The Snow Buoy consists of four independent sonar measurements representing the area (approx. 10 m**2) around the buoy. The buoy was installed on fast ice. In addition to snow height, geographic position (GPS), barometric pressure, air temperature, and an internal ice temperature were measured. Negative values of snow height occur if surface ablation continues into the sea ice. Thus, these measurements describe the position of the sea ice surface relative to the original snow-ice interface. Differences between single sensors indicate small-scale variability of the snow pack around the buoy. The data set has been processed and contains quality flags for different kinds for erroneous data. Flag values are the sum of individual error codes. The value of 0 refers to no error. Quality flag, position: The geographic position is flagged +1 if the drift velocity, as derived from the GPS longitude and latitude, exceeds a threshold of 10 deg latitude or 50 deg longitude per time step; +2 if the position exceeds extreme values, such as longitude 〉 360 deg; +4 if the position is exactly 0.0. Quality flag, snow: The snow height is flagged for each sensor +1 for manual corrections during processing (e.g. sensor issues); +2 if the snow accumulation exceeds 0.1 m per hour; +4 if the difference in snow height is larger than 0.03 m compared to values within the last and next 2 hours; +32 if the value exceeds the height of sensor on the platform at 1.5 m. Quality flag, temperature: The air temperature is flagged +1 for manual corrections during processing (e.g. sensor issues); + 32 if the value is below – 50 °C. Quality flag, pressure: The barometric pressure is flagged +1 for manual corrections during processing (e.g. sensor issues).
    Keywords: 2022S110, AFIN 2022; AFIN; Antarctic Fast Ice Network; ANT-Land_2022_AFIN; ANT-Land_2022_AFIN_2022S110; autonomous platform; AWI_SeaIce; buoy; BUOY_SNOW; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; Global positioning system, time since last fix; LATITUDE; LONGITUDE; meereisportal.de; NEUMAYER III; Pressure, atmospheric; Quality flag, air temperature; Quality flag, atmospheric pressure; Quality flag, position; Quality flag, snow height; Quality flag, technical temperature; Sea ice; Sea Ice Physics @ AWI; Snow buoy; snow depth; Snow height; Temperature, air; Temperature, technical
    Type: Dataset
    Format: text/tab-separated-values, 82208 data points
    Location Call Number Expected Availability
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  • 27
    facet.materialart.
    Unknown
    PANGAEA
    In:  Laboratory for Measurements and Observations for Environment and Climate
    Publication Date: 2024-05-14
    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; Lampedusa; LMP; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Mediterranean; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 211429, WRMC No. 90101; Pyranometer, Kipp & Zonen, CMP21, SN 211437, WRMC No. 90103; Pyrgeometer, Kipp & Zonen, CGR4, SN 190329, WRMC No. 90200; Pyrheliometer, Kipp & Zonen, CHP 1, SN 110532, WRMC No. 90001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 847984 data points
    Location Call Number Expected Availability
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  • 28
    Publication Date: 2024-05-14
    Description: Snow height was measured by the Snow Buoy 2020S55, an autonomous platform, installed in the Atka Bay, Antarctic during Antarctic Fast Ice Network 2020 (AFIN 2020). The resulting time series describes the evolution of snow height as a function of place and time between 30 Jul 2020 and 16 Jul 2021 in sample intervals of 1 hour. The Snow Buoy consists of four independent sonar measurements representing the area (approx. 10 m**2) around the buoy. The buoy was installed on fast ice. In addition to snow height, geographic position (GPS), barometric pressure, air temperature, and an internal ice temperature were measured. Negative values of snow height occur if surface ablation continues into the sea ice. Thus, these measurements describe the position of the sea ice surface relative to the original snow-ice interface. Differences between single sensors indicate small-scale variability of the snow pack around the buoy. The data set has been processed and contains quality flags for different kinds for erroneous data. Flag values are the sum of individual error codes. The value of 0 refers to no error. Quality flag, position: The geographic position is flagged +1 if the drift velocity, as derived from the GPS longitude and latitude, exceeds a threshold of 10 deg latitude or 50 deg longitude per time step; +2 if the position exceeds extreme values, such as longitude 〉 360 deg; +4 if the position is exactly 0.0. Quality flag, snow: The snow height is flagged for each sensor +1 for manual corrections during processing (e.g. sensor issues); +2 if the snow accumulation exceeds 0.1 m per hour; +4 if the difference in snow height is larger than 0.03 m compared to values within the last and next 2 hours; +32 if the value exceeds the height of sensor on the platform at 1.5 m. Quality flag, temperature: The air temperature is flagged +1 for manual corrections during processing (e.g. sensor issues); + 32 if the value is below – 50 °C. Quality flag, pressure: The barometric pressure is flagged +1 for manual corrections during processing (e.g. sensor issues).
    Keywords: 2020S55, AFIN 2020; AFIN; Antarctic Fast Ice Network; ANT-Land_2020_AFIN; ANT-Land_2020_AFIN_2020S55; autonomous platform; AWI_SeaIce; buoy; BUOY_SNOW; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; Global positioning system, time since last fix; LATITUDE; LONGITUDE; meereisportal.de; NEUMAYER III; Pressure, atmospheric; Quality flag, air temperature; Quality flag, atmospheric pressure; Quality flag, position; Quality flag, snow height; Quality flag, technical temperature; Sea ice; Sea Ice Physics @ AWI; Snow buoy; snow depth; Snow height; Temperature, air; Temperature, technical
    Type: Dataset
    Format: text/tab-separated-values, 134752 data points
    Location Call Number Expected Availability
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  • 29
    Publication Date: 2024-05-14
    Description: Here, we explored the effects of ocean acidification on marine benthic communities using DNA metabarcoding to assess the diversity of algae and metazoans. Specifically, we examined the natural pH gradient generated by the Fuencaliente CO2 vent system, located near La Palma Island (Canary Islands).
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Aragonite saturation state, standard deviation; Benthos; Bicarbonate ion; Calcite saturation state; Calcite saturation state, standard deviation; Calculated using seacarb after Nisumaa et al. (2010); Carbonate ion; Carbonate system computation flag; Carbon dioxide; Class; CO2 vent; Coast and continental shelf; Community composition and diversity; Control_Zone_4; Entire community; Event label; Family; Field observation; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Genus; Group; Identification; Identity; Kingdom; North Atlantic; OA-ICC; Ocean Acidification International Coordination Centre; Order; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard deviation; Phylum; Rank; Reads; Rocky-shore community; Salinity; Scientific name; Site; Species; Temperate; Temperature, water; Transition25; Transition75; Type of study; Vent_Zone_1
    Type: Dataset
    Format: text/tab-separated-values, 216880 data points
    Location Call Number Expected Availability
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  • 30
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    Unknown
    PANGAEA
    In:  Laboratory for Measurements and Observations for Environment and Climate
    Publication Date: 2024-05-14
    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; Lampedusa; LMP; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Mediterranean; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 211429, WRMC No. 90101; Pyranometer, Kipp & Zonen, CMP21, SN 211437, WRMC No. 90103; Pyrgeometer, Kipp & Zonen, CGR4, SN 190329, WRMC No. 90200; Pyrheliometer, Kipp & Zonen, CHP 1, SN 110532, WRMC No. 90001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 793024 data points
    Location Call Number Expected Availability
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  • 31
    facet.materialart.
    Unknown
    PANGAEA
    In:  Laboratory for Measurements and Observations for Environment and Climate
    Publication Date: 2024-05-14
    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; Lampedusa; LMP; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Mediterranean; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 211429, WRMC No. 90101; Pyranometer, Kipp & Zonen, CMP21, SN 211437, WRMC No. 90103; Pyrgeometer, Kipp & Zonen, CGR4, SN 190329, WRMC No. 90200; Pyrheliometer, Kipp & Zonen, CHP 1, SN 110532, WRMC No. 90001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 598320 data points
    Location Call Number Expected Availability
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  • 32
    facet.materialart.
    Unknown
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-05-14
    Keywords: Baseline Surface Radiation Network; BSRN; DATE/TIME; IZA; Izaña; Monitoring station; MONS; Ozone total; Tenerife, Spain
    Type: Dataset
    Format: text/tab-separated-values, 1622 data points
    Location Call Number Expected Availability
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  • 33
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    Unknown
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-05-14
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Code; DATE/TIME; Dew/frost point; Geopotential of a standard isobaric surface; High cloud; HYGRO; Hygrometer; IZA; Izaña; Low/middle cloud amount; Low cloud; Middle cloud; Monitoring station; MONS; Past weather1; Past weather2; Present weather; Station pressure; Temperature, air; Tenerife, Spain; Thermometer; Total cloud amount; Visual observation; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 978 data points
    Location Call Number Expected Availability
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  • 34
    facet.materialart.
    Unknown
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-05-14
    Keywords: Baseline Surface Radiation Network; BSRN; DATE/TIME; IZA; Izaña; Monitoring station; MONS; Ozone total; Tenerife, Spain
    Type: Dataset
    Format: text/tab-separated-values, 1923 data points
    Location Call Number Expected Availability
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  • 35
    facet.materialart.
    Unknown
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-05-14
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Code; DATE/TIME; Dew/frost point; Geopotential of a standard isobaric surface; High cloud; HYGRO; Hygrometer; IZA; Izaña; Low/middle cloud amount; Low cloud; Middle cloud; Monitoring station; MONS; Past weather1; Past weather2; Present weather; Station pressure; Temperature, air; Tenerife, Spain; Thermometer; Total cloud amount; Visual observation; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 885 data points
    Location Call Number Expected Availability
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  • 36
    facet.materialart.
    Unknown
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-05-14
    Keywords: Baseline Surface Radiation Network; BSRN; DATE/TIME; HEIGHT above ground; IZA; Izaña; Monitoring station; MONS; Tenerife, Spain; Ultraviolet-a global; Ultraviolet-a global, maximum; Ultraviolet-a global, minimum; Ultraviolet-a global, standard deviation; Ultraviolet-b global; Ultraviolet-b global, maximum; Ultraviolet-b global, minimum; Ultraviolet-b global, standard deviation; UV-Radiometer, Kipp & Zonen, UVB1, SN 970839, WRMC No. 61007; UV-Radiometer, Kipp & Zonen, UV-S-A-T, SN 080005, WRMC No. 61006
    Type: Dataset
    Format: text/tab-separated-values, 333356 data points
    Location Call Number Expected Availability
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  • 37
    facet.materialart.
    Unknown
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-05-14
    Keywords: Baseline Surface Radiation Network; BSRN; DATE/TIME; HEIGHT above ground; IZA; Izaña; Monitoring station; MONS; Tenerife, Spain; Ultraviolet-a global; Ultraviolet-a global, maximum; Ultraviolet-a global, minimum; Ultraviolet-a global, standard deviation; Ultraviolet-b global; Ultraviolet-b global, maximum; Ultraviolet-b global, minimum; Ultraviolet-b global, standard deviation; UV-Radiometer, Kipp & Zonen, UVB1, SN 970839, WRMC No. 61007; UV-Radiometer, Kipp & Zonen, UV-S-A-T, SN 080005, WRMC No. 61006
    Type: Dataset
    Format: text/tab-separated-values, 356452 data points
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  • 38
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    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-05-14
    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; EKO Instruments, MR-60, SN S15115.07, WRMC No. 61013; 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; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Net radiation; Net radiation, maximum; Net radiation, minimum; Net radiation, standard deviation; Pyranometer, EKO, MS-802F, SN F15509FR, WRMC No. 61011; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; 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; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1269629 data points
    Location Call Number Expected Availability
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  • 39
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    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-05-14
    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; EKO Instruments, MR-60, SN S15115.07, WRMC No. 61013; 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; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Net radiation; Net radiation, maximum; Net radiation, minimum; Net radiation, standard deviation; Pyranometer, EKO, MS-802F, SN F15509FR, WRMC No. 61011; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; 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; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1337750 data points
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  • 40
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    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-05-14
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; IZA; Izaña; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Vaisala, RS92; Temperature, air; Tenerife, Spain; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 1186535 data points
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  • 41
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    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-05-14
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; IZA; Izaña; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Vaisala, RS92; Temperature, air; Tenerife, Spain; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 1236050 data points
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  • 42
    Publication Date: 2024-05-14
    Description: Physical, chemical and biogeochemical measurements derived from CTD-rosette deployments during three visits to site P3 (November to December, 2017) in the South Atlantic. Measurements were made during COMICS cruise DY086 on the RRS Discovery using a trace metal free Titanium Rosette (events 4, 7, 15, 19, 24, 26, 29) and a Stainless Steel Rosette (all other events). Physical parameters include temperature, salinity, density, photosynthetically active radiation and turbulence; chemical parameters include dissolved oxygen, dissolved oxygen saturation, nitrate, phosphate and silicate; biogeochemical parameters include turbidity, beam transmittance, beam attenuation, fluorescence, particulate organic carbon (POC), dissolved organic carbon (DOC), chlorophyll-a, net primary productivity (NPP), ambient leucine assimilation and bacterial cell count. To determine turbulence, a downward facing lowered acoustic doppler current profiler (LADCP, Teledyne Workhorse Monitor 300 kHz ADCP) was attached to the CTD frame. Shear and strain, which are obtained from velocity and density measurements, were used to estimate the dissipation rate of turbulent kinetic energy and the diapycnal eddy diffusivity from a fine-scale parameterisation. Estimates are calculated by parameterising internal wave-wave interactions and assuming that wave breaking modulates turbulent mixing. A detailed description of the method for calculating diffusivity from LADCP and CTD can be found in Kunze et al. (2006). Two datasets with different vertical resolutions were produced: one in which the shear is integrated from 150 to 300 m and the strain over 20-150 m, and one in which the shear is integrated from 70 to 200 m and the strain over 30-200 m. Nutrients (nitrate, phosphate, silicate) were determined via colourimetric analysis (see cruise report, Giering and Sanders, 2019), POC was determined as described in Giering et al. (2023), DOC and DOC flux were determined as described in Lovecchio et al. (2023), NPP was determined as described in Poulton et al. (2019), and ambient leucine assimilation and bacterial cell count were determined as described in Rayne et al. (2024). Bacterial abundance and leucine assimilation were made from bottle samples of six CTD casts of the stainless-steel rosette. Water was collected at six depths (6 m, deep-chlorophyll maximum, mixed layer depth + 10, 100, 250 and 500 m). Acid-cleaned HDPE carboys and tubing were used for sampling. Samples were then stored in the dark and at in-situ temperature prior to on-board laboratory sample preparation or analysis. Flow cytometry was used to measure bacterial abundance. Room temperature paraformaldehyde was used to fix 1.6 ml samples for 30 minutes. Then, using liquid nitrogen, the samples were flash frozen and stored at -80°C. Samples were then defrosted before being stained using SYBR Green I and run through the flow cytometer (BD FACSort™). The method of Hill et al. (2013) was applied to determine prokaryotic leucine assimilation using L-[4,5-³H] leucine which has a specific activity of 89.3 Ci/mmol­. In the mixed and upper layers of the water column, the protocol in Zubkov et al. (2007) was followed. Below the mixed layer, adaptions to the method included reducing the concentration of ³H-Leucine to 0.005, 0.01, 0.025, 0.04 and 0.05 nM; increasing experimental volumes to 30 ml; enhancing incubation times to 30, 60, 90 and 120 min. These adaptions were made to improve accuracy where lower rates of leucine assimilation were expected. Data were provided by the British Oceanographic Data Centre and funded by the National Environment Research Council.
    Keywords: 74EQ20171115; Angular scattering coefficient, 700 nm; Attenuation, optical beam transmission; Bacteria; Barometer, Paroscientific, Digiquartz TC; biological carbon pump; Calculated; Calculated according to UNESCO (1983); Calculation according to Kunze et al. (2006); Carbon, organic, dissolved; Carbon, organic, dissolved, flux; Carbon, organic, particulate; Chlorophyll a; Colorimetric analysis; COMICS; Conductivity sensor, SEA-BIRD SBE 4C; Controls over Ocean Mesopelagic Interior Carbon Storage; CTD/Rosette; CTD-RO; DATE/TIME; Density, sigma-theta (0); DEPTH, water; Discovery (2013); Dissipation rate; Dissolved Oxygen Sensor, Sea-Bird, SBE 43 and SBE 43F; DY086; DY086_CTD002; DY086_CTD003; DY086_CTD004; DY086_CTD005; DY086_CTD006; DY086_CTD007; DY086_CTD008; DY086_CTD009; DY086_CTD010; DY086_CTD015; DY086_CTD016; DY086_CTD017; DY086_CTD018; DY086_CTD019; DY086_CTD020; DY086_CTD021; DY086_CTD022; DY086_CTD023; DY086_CTD024; DY086_CTD026; DY086_CTD027; DY086_CTD028; DY086_CTD029; DY086_CTD030; DY086_CTD031; DY086_CTD032; DY086_CTD033; Eddy diffusivity; Event label; Flow cytometer, Becton Dickinson, FACSort; Fluorometer, Chelsea Instruments, Aquatracka MKIII; fluxes; High Temperature Catalytic Oxidation, Shimadzu TOC-VCPN; LATITUDE; Leucine uptake rate; Liquid scintillation counter, Packard, TRI-CARB 3100TR; LONGITUDE; marine biogeochemistry; Net primary production of carbon; Nitrate; Organic Elemental Analyzer, Thermo Fisher Scientific, Flash 2000; Oxygen; Oxygen saturation; PAR sensor, Biospherical, LI-COR, SN 70510; PAR sensor, Biospherical, LI-COR, SN 70520; Phosphate; Radiation, photosynthetically active; Radioassays, liquid scintillation counting; Salinity; Scattering meter, WET Labs, ECO-BB OBS; Silicate; Site; SUMMER; Sustainable Management of Mesopelagic Resources; Temperature, water; Temperature sensor, SEA-BIRD SBE 3Plus; Transmissometer, WET Labs, C-Star
    Type: Dataset
    Format: text/tab-separated-values, 171794 data points
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  • 43
    Publication Date: 2024-05-14
    Keywords: 07-SA-LY_ABCD_1-6; Abisko, Lappland, northern Sweden; Aero_1; Aero_core1; Age, dated; Age, dated material; Age, dated standard error; Alaska, USA; Alberta, Canada; Antoine_Lake; Author(s); AWI Arctic Land Expedition; Baillie_Bog; Bathurst_Island; Beauval; BGS_980; Biological sample; BIOS; Bonanza_Creek; Boniface_river; Bulmer_Lake; Burgistoye_Bog; Bylot_Island; Campbell_Creek; Canada; Canadian Arctic; Chernaya_Gorka; Chorkurdakh; Clear_lake; College_Bog; Core; Crimson_lake; CSAT; DEPTH, sediment/rock; Dyanushka K7P2; Ennadai_Lake; Event label; Finland; Fosheim; Grafe_River; GSC_GaK; Height above sea floor/altitude; Herchmer; Horn_Plateau; Horse_Trail; Hudson Bay; Identification; Indico; Innoko; Inuvik; Inuvik_East; James_Bay_Transect; Joey_Lake; K7P2; Kazache; Kenai_Gasfield; Kenai_Gasfield_coreKG07-2; KFA906; Khosedayu; Kineosheo; KM184; Koyukuk; KUJU_PD2; KUJU-PD2_core1; Kukjuk; Kunyok_bog; Kwakwatanikapistikw; Kwethluk; La_Grande_Riviere-LG1; La_Grande_Riviere-LG2; La_Grande_Riviere-LG3; Laboratory code/label; Lac_des_Becassines; Lac_des_Cygnes_Mountain; Lac_Le_Caron; Lac_Le_Caron_coreCentral; Laivadalen; Lama_Lake; LATITUDE; LOA_T1; LOA_T5; LOA_T6; LONGITUDE; LVPS_4-5B; Lynn_lake; MacKenzie_Delta; Manitoba, Canada; Martin_River; McClintock; Method comment; MON; Monitoring; Mosaik; Mosaik_coreCentral; MULT; Multiple investigations; Nastapoca; Natla; No_Name_Creek_coreNNC07-1; No-Name_Creek; NormanWells; NOVO-USP; Novo-Uspenka, Russia; Nuikluk; Nyulsaveito_Lake; OBSE; Observation; Ortino_peat_pl; Ours; OUTCROP; Outcrop sample; PEATC; Peat corer; Pechora area, NE Baltic; Petersville; Petersville_corePE08-MC; PF-8; Polybog; Pur-Taz; Pyasina; QUEEN_Exped; Radisson; Rainbow_Lake; Reference/source; Remote sensing (Corona); Rogovaya; RPS; RU-Land_2007_Yakutia; RUSC; Russia; Russian corer; Russian peat sampler; Rybachiya_bog; Sample thickness; Sasapimakwananistik; Seida; Selwyn_core1; Selwyn_Lake; Seward_Peninsula; Sharyu; Sheldrake; Site; Slave_core1; Slave_Lake; Southern_Piper_Pass; Sterne; Stordalen_1; Stordalen_core1; Subarctic; Sugluk; Suolakh; Swanson_core1; Swanson_fen; Sweden; T28A; T35A-B; TC-01; TFBC; Thelon-Kazan_Peatland; Three_Day_Lake; Tiksi; Town_site; Tuktoyaktuk; Umiakoviarusek; United States of America; Upper_Pinto; Upper_Pinto_core1; Usa River basin, Northeast European Russia; Usinsk_Mire; Vaisjeaggi1/Va-l; Western Siberia; Willow_Lake_River; Wrigley_Ferry; Yakutia2007; Yakutsk, Russia; Zama_lake; Zhukovskoe
    Type: Dataset
    Format: text/tab-separated-values, 15879 data points
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  • 44
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    PANGAEA
    In:  Institut für Interdisziplinäre Gebirgsforschung der Österreichischen Akademie der Wissenschaften, Innsbruck
    Publication Date: 2024-05-14
    Description: The glacier mass balance of Jamtalferner has been measured annually since 1988/1989 with the direct/glaciological method. Winter mass balance has been determined for 1st May in all years. The mass balance records are complemented by precipitation measurements at a gauge close to the glacier tongue and climate data recorded at the village of Galtür. New data will be added every year.
    Type: Dataset
    Format: application/zip, 69 datasets
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  • 45
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    PANGAEA
    In:  Institut für Interdisziplinäre Gebirgsforschung der Österreichischen Akademie der Wissenschaften, Innsbruck
    Publication Date: 2024-05-14
    Description: The annual glacier mass balance of Mullwitzkees in Hohe Tauern is measured since 2006-10-01 with the direct glaciological method in the fixed date system (1st October to 30th September of the following year). The accumulation of snow is measured by determination of the water equivalent in 6 snow pits, the ice ablation is measured with 15 stakes drilled into the ice. Results are the annual net mass balance in kg, the total accumulation and ablation, the glacier area and the portions of the area which are subject to ablation and accumulation, the elevation of the equilibrium line and the specific mass balance in kg/m**3 (= mm w.e.). The accumulation during the winter is determined by the 1st May. The project is funded by the "Hydrographischer Dienst der Abteilung Wasserwirtschaft des Amtes der Tiroler Landesregierung and National Park Hohe Tauern". New data will be added every year.
    Keywords: Glaciers Austria; Mullwitzkees, Hohe Tauern, Austria; MWK
    Type: Dataset
    Format: application/zip, 34 datasets
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  • 46
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    PANGAEA
    In:  Supplement to: Myers-Smith, Isla H; Harden, J W; Wilmking, Martin; Fuller, C C; McGuire, A David; Chapin, F Stuart (2008): Wetland succession in a permafrost collapse: interactions between fire and thermokarst. Biogeosciences, 5(5), 1273-1286, https://doi.org/10.5194/bg-5-1273-2008
    Publication Date: 2024-05-14
    Description: To determine the influence of fire and thermokarst in a boreal landscape, we investigated peat cores within and adjacent to a permafrost collapse feature on the Tanana River Floodplain of Interior Alaska. Radioisotope dating, diatom assemblages, plant macrofossils, charcoal fragments, and carbon and nitrogen content of the peat profile indicate ~600 years of vegetation succession with a transition from a terrestrial forest to a sedge-dominated wetland over 100 years ago, and to a Sphagnum-dominated peatland in approximately 1970. The shift from sedge to Sphagnum, and a decrease in the detrended tree-ring width index of black spruce trees adjacent to the collapse coincided with an increase in the growing season temperature record from Fairbanks. This concurrent wetland succession and reduced growth of black spruce trees indicates a step-wise ecosystem-level response to a change in regional climate. In 2001, fire was observed coincident with permafrost collapse and resulted in lateral expansion of the peatland. These observations and the peat profile suggest that future warming and/or increased fire disturbance could promote permafrost degradation, peatland expansion, and increase carbon storage across this landscape; however, the development of drought conditions could reduce the success of both black spruce and Sphagnum, and potentially decrease the long-term ecosystem carbon storage.
    Keywords: Alaska, USA; International Polar Year (2007-2008); IPY; PERM; Sampling permafrost; Tanana_R-plain
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 47
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    PANGAEA
    In:  Institut für Interdisziplinäre Gebirgsforschung der Österreichischen Akademie der Wissenschaften, Innsbruck
    Publication Date: 2024-05-14
    Description: The annual glacier mass balance of Hallstätter Gletscher in Austria is measured since 2006-10-01 with the direct glaciological method in the fixed date system (1st October to 30th September of the following year). The accumulation of snow is measured by determination of the water equivalent in 6 snow pits, the ice ablation is measured with 15 stakes drilled into the ice. Results are the annual net mass balance in kg, the total accumulation and ablation, the glacier area and the portions of the area which are subject to ablation and accumulation, the elevation of the equilibrium line and the specific mass balance in kg/m**2 (= mm w.e.). The accumulation during the winter is determined by the 1st May. The project is funded by the Amt der Oberösterreichischen Landesregierung and the Energie AG. The measurements are carried out by the Institute for Interdisciplinary Mountain Research (http://www.mountainresearch.at/index.php/en/) of the Austrian Academy of Sciences and the company Blue Sky in Gmunden, Austria. New data will be added every year.
    Keywords: Glaciers Austria; Hallstätter Gletscher, Dachstein, Austria; HSG
    Type: Dataset
    Format: application/zip, 39 datasets
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  • 48
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    PANGAEA
    In:  Institut für Interdisziplinäre Gebirgsforschung der Österreichischen Akademie der Wissenschaften, Innsbruck
    Publication Date: 2024-05-14
    Description: The Venedigerkees in the Hohe Tauern National Park is the easternmost tributary glacier to the former tongue of Obersulzbachkees. As a result of the strong retreat of Obersulzbachkees, the glacier disintegrated into several tributary glaciers, with a large lake remaining at the location of a famous serac zone, the 'Türkische Zeltstadt'. Hydrological monitoring of the area is done by the Hydrological Survey of the Federal Government of Salzburg (DI Hans Wiesenegger) who initiated the mass balance monitoring programme together with Heinz Slupetzky and the Institute of Interdisciplinary Mountain Research of the Austrian Academy of Sciences. The mass balance of the Venedigerkees is measured since 2011/12 with the direct or glaciological method. New data will be added every year.
    Keywords: Glaciers Austria
    Type: Dataset
    Format: application/zip, 24 datasets
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  • 49
    Publication Date: 2024-05-14
    Description: We report the levels of airborne PCB concentrations at 18 locations for three consecutive periods, from July to November of 2015, and one extra period from July to August of 2016 in New Bedford, Fairhaven, Dartmouth, and Acushnet, MA, USA. Measurements were obtained using polyurethane foam passive air samplers (PUF-PAS), deployed for ~40 days. Effective volumes for individual PCB congeners were calculated from a previously published model and included here. Further, the limit of detection from the PUF for individual PCB congeners are included, together with the masses of the PCB congeners measured in the PUF.
    Keywords: airborne concentration; congeners; effective volumes; New Bedford; PCB; Superfund
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 50
    Publication Date: 2024-05-14
    Keywords: 02260100; 02281147; 03041555; 03071108; 03081605; 03092330; 03112138; 03130720; 03181915; 03200715; 03211750; 03281830; 09070100; 09080637; 09171830; 119-745B; 61SL; 7TOW_5; 7TOW05WT; 7TOW-072; 7TOW-105; ANTA95-157; ANTA96-1; ANTA96-16; ANTA96-17; ANTIPODE; ANT-IV/3; ANT-IX/3; ANTP-226G; ANTP-231G; ANT-V/4; ANT-VI/3; ANT-VIII/6; APSARA1; APSARA2; APSARA3; APSARA4; AT_II-107_71; AT_II-107_78; AT_USA; ATII_USA; Atka Bay; Atlantis (1931); Atlantis II (1963); Barents Sea; C12/8712GC9; Camp Norway; Coral Sea; cruise 11; CTD/Rosette; CTD-RO; DEPTH, sediment/rock; DF85; DF85.062-PC; DF85.072-PC; DF85.114-PC; DF85.119-PC; DF85.125-PC; DRILL; Drilling/drill rig; Eastern Weddell Sea, Southern Ocean; Elevation of event; ELT05; ELT05.012-PC; ELT05.016-PC; ELT05.017-PC; ELT05.018-PC; ELT05.019-PC; ELT05.024-PC; ELT05.025-PC; ELT07; ELT07.001-PC; ELT07.007-PC; ELT07.008-PC; ELT07.009-PC; ELT07.010-PC; ELT07.011-PC; ELT07.012-PC; ELT07.013-PC; ELT07.014-PC; ELT07.015-PC; ELT07.017-PC; ELT08; ELT08.006-PC; ELT08.008-PC; ELT08.010-PC; ELT08.012-PC; ELT08.013-PC; ELT08.019-PC; ELT09; ELT09.013-PC; ELT09.015-PC; ELT09.016-PC; ELT10; ELT10.005-PC; ELT10.008-PC; ELT10.009-PC; ELT10.010-PC; ELT10.012-PC; ELT10.013-PC; ELT10.014-PC; ELT10.016-PC; ELT10.018-PC; ELT10.019-PC; ELT10.020-PC; ELT10.021-PC; ELT10.022-PC; ELT10.024-PC; ELT10.025-PC; ELT10.027-PC; ELT10.028-PC; ELT10.029-PC; ELT10.030-PC; ELT10.031-PC; ELT10.032-PC; ELT11; ELT11-001-PC; ELT11-002-PC; ELT11-003-PC; ELT11-004-PC; ELT11-006-PC; ELT11-007-PC; ELT11-008-PC; ELT11-010-PC; ELT11-012-PC; ELT11-014-PC; ELT11-015-PC; ELT11-018-PC; ELT11-020-PC; ELT11-022-PC; ELT11-023-PC; ELT11-025-PC; ELT11-026-PC; ELT11-029-PC; ELT11-031-PC; ELT11-035-PC; ELT13; ELT13.001-PC; ELT13.002-PC; ELT13.003-PC; ELT13.004-PC; ELT13.005-PC; ELT13.006-PC; ELT13.008-PC; ELT13.009-PC; ELT13.011-PC; ELT13.013-PC; ELT13.015-PC; ELT13.016-PC; ELT13.017-PC; ELT13.019-PC; ELT13.020-PC; ELT13.021-PC; ELT13.022-PC; ELT13.024-PC; ELT14; ELT14.003-PC; ELT14.004-PC; ELT14.005-PC; ELT14.006-PC; ELT14.008-PC; ELT14.010-PC; ELT14.011-PC; ELT14.012-PC; ELT14.013-PC; ELT14.015-PC; ELT14.016-PC; ELT15; ELT15.002-PC; ELT15.004-PC; ELT15.005-PC; ELT15.006-PC; ELT15.007-PC; ELT15.009-PC; ELT15.011-PC; ELT15.015-PC; ELT15.022-PC; ELT15.023-PC; ELT15.028-PC; ELT17; ELT17.005-PC; ELT17.006-PC; ELT17.007-PC; ELT17.009-PC; ELT17.011-PC; ELT17.013-PC; ELT17.014-PC; ELT17.015-PC; ELT17.016-PC; ELT17.017-PC; ELT17.018-PC; ELT17.020-PC; ELT17.021-PC; ELT17.022-PC; ELT17.023-PC; ELT17.026-PC; ELT17.028-PC; ELT17.029-PC; ELT17.030-PC; ELT17.032-PC; ELT17.033-PC; ELT18; ELT18.002-PC; ELT18.003-PC; ELT18.004-PC; ELT19; ELT19.001-PC; ELT19.004-PC; ELT19.005-PC; ELT19.006-PC; ELT19.008-PC; ELT19.014-PC; ELT19.015-PC; ELT19.024-PC; ELT19.026-PC; ELT19.027-PC; ELT20; ELT20.004-PC; ELT20.006-PC; ELT20.007-PC; ELT20.008-PC; ELT20.009-PC; ELT20.010-PC; ELT20.011-PC; ELT20.014-PC; ELT21; ELT21.016-PC; ELT21.018-PC; ELT21.020-PC; ELT21.021-PC; ELT21.023-PC; ELT22; ELT22.001-PC; ELT22.005-PC; ELT22.006-PC; ELT22.009-PC; ELT22.010-PC; ELT22.033-PC; ELT22.034-PC; ELT23; ELT23.001-PC; ELT23.004-PC; ELT23.005-PC; ELT23.006-PC; ELT23.008-PC; ELT23.009-PC; ELT23.010-PC; ELT23.011-PC; ELT23.012-PC; ELT23.013-PC; ELT23.014-PC; ELT23.016-PC; ELT23.017-PC; ELT23.019-PC; ELT25; ELT25.007-PC; ELT25.008-PC; ELT25.009-PC; ELT25.010-PC; ELT25.011-PC; ELT25.012-PC; ELT25.013-PC; ELT25.014-PC; ELT25.015-PC; ELT25.016-PC; ELT26; ELT26.001-PC; ELT27; ELT27.004-PC; ELT33; ELT33.002-PC; ELT33.004-PC; ELT33.005-PC; ELT33.006-PC; ELT33.007-PC; ELT33.010-PC; ELT33.012-PC; ELT33.014-PC; ELT33.015-PC; ELT33.017-PC; ELT33.018-PC; ELT33.019-PC; ELT33.022-PC; ELT37; ELT37.004-PC; ELT39; ELT39.075-PC; ELT39.077-PC; ELT42; ELT42.004-PC; ELT42.005-PC; ELT42.007-PC; ELT42.008-PC; ELT42.009-PC; ELT42.010-PC; ELT42.011-PC; ELT42.012-PC; ELT43; ELT43.003-PC; ELT43.005-PC; ELT45; ELT45.029-PC; ELT45.063-PC; ELT45.064-PC; ELT49; ELT49.006-PC; ELT49.007-PC; ELT49.019-PC; ELT49.033-PC; ELT49.051-PC; ELT50; ELT50.009-PC; ELT50.011-PC; ELT50.013-PC; ELT50.017-PC; Eltanin; Event label; Filchner Trough; GC; Giant box corer; Giant gravity corer AWI; GKG; Glacier; Gravity corer; Gravity corer (Kiel type); GSL; Halley Bay; Indian Ocean; IO0775; IO0775.046-PC; IO0775.047-PC; IO0775.048-PC; IO0775.050-PC; IO0775.051-PC; IO0775.052-PC; IO0775.053-PC; IO0775.054-PC; IO0775.055-PC; IO0775.057-PC; IO1176; IO1176.055-PC; IO1176.079-PC; IO1277; IO1277.010-PC; IO1578; IO1578.002-PC; IO1578.004-PC; IO1578.049-PC; IO1678; IO1678.018-PC; IO1678.019-PC; IO1678.020-PC; IO1678.021-PC; IO1678.022-PC; IO1678.023-PC; IO1678.024-PC; IO1678.025-PC; IO1678.026-PC; IO1678.027-PC; IO1678.028-PC; IO1678.029-PC; IO1678.030-TC; IO1678.032-PC; IO1678.033-PC; IO1678.034-PC; IO1678.035-PC; IO1678.036-PC; IO1678.096-PC; Islas Orcadas; Joides Resolution; Kapp Norvegia; KR87-02; KR87-07; KR88-08; KR88-10; KR88-15; KR88-24; Latitude of event; Lazarev Sea; Leg119; Longitude of event; Lyddan Island; Marion Dufresne (1972); Maud Rise; MD10; MD38; MD76-118; MD82-424; MD82-434; MD84-527; MD84-551; MD87-715; MD88-014; MD88-769; MD88-770; MD88-773; Melville; MUC; MultiCorer; Nathaniel B. Palmer; NBP9604; NBP9604-02-2; NBP9604-03-2; NBP9604-07-1; NBP9802; NBP9802-01-4; NBP9802-02-5; NBP9802-03-9; NBP9802-04-2; NBP9802-05-12; NBP9802-05-3; NBP9802-06-3; NBP9802-07-4; NBP9802-08-1; NBP9802-09-10; NBP9802-09-2; NBP9802-10-5; NZ-80-G-10; NZ-80-G-11; NZ-80-G-12; NZ-80-G-13; NZ-80-G-6; NZ-80-G-7; Opal, biogenic silica; OPR-476156; OPR-476184; OPR-476208; OSIRIS II; PC; Piston corer; Polarstern; PS08; PS08/347; PS08/365; PS08/366; PS10; PS10/672; PS10/675; PS10/678; PS10/699; PS10/701; PS10/711; PS10/719; PS10/725; PS10/738; PS10/784; PS10/816; PS10/818; PS10/820; PS10/824; PS12; PS12/248; PS12/289; PS12/300; PS12/302; PS12/305; PS12/310; PS12/312; PS12/319; PS12/336; PS12/338; PS12/340; PS12/344; PS12/352; PS12/366; PS12/368; PS12/374; PS12/380; PS12/382; PS12/458; PS12/465; PS12/486; PS12/490; PS12/536; PS1375-3; PS1387-3; PS1388-3; PS1472-3; PS1474-3; PS1475-2; PS1483-3; PS1484-3; PS1487-1; PS1488-3; PS1489-3; PS1490-3; PS1500-2; PS1506-1; PS1507-3; PS1508-1; PS1509-2; PS1575-1; PS1587-1; PS1590-2; PS1591-1; PS1593-3; PS1595-1; PS1596-3; PS1599-3; PS16; PS16/534; PS1605-1; PS1606-3; PS1607-3; PS1609-3; PS1613-1; PS1619-3; PS1620-1; PS1622-3; PS1625-3; PS1626-2; PS1635-3; PS1636-1; PS1638-3; PS1639-3; PS1648-1; PS18; PS18/185; PS1821-6; PS2038-2; R05-32; RC08; RC08-78; RC08-79; RC08-80; RC08-81; RC08-82; RC08-83; RC08-85; RC08-87; RC08-89; RC08-91; RC08-93; RC09; RC09-109; RC09-110; RC09-111; RC09-112; RC09-113; RC09-114; RC09-115; RC09-117; RC09-118; RC09-121; RC09-150; RC10; RC10-117; RC11; RC11-116; RC11-117; RC1112; RC11-123; RC11-124; RC11-125; RC11-126; RC11-134; RC11-139; RC11-76; RC11-77; RC11-78; RC11-83; RC11-86; RC11-94; RC11-97; RC12; RC12-100; RC12-101; RC12-103; RC12-206; RC12-210; RC12-213; RC12-214; RC12-215; RC12-217; RC12-218; RC12-219; RC12-220; RC12-221; RC12-223; RC12-224; RC12-225; RC12-227; RC12-228; RC12-230; RC12-231; RC12-232; RC12-267; RC12-305; RC13; RC13-254; RC13-255; RC13-256; RC13-259; RC13-261; RC13-263; RC13-269; RC13-271; RC13-41; RC13-42; RC13-43; RC13-45TW; RC14; RC14-7; RC15; RC15-30; RC15-31; RC15-37; RC15-40; RC15-65; RC15-94; RC17; RC17-54; RC17-61; Robert Conrad; Ross Sea; S68PC16; S68PC22; Sample code/label; Silicon Cycling in the World Ocean; SINOPS; SL; SO36/2; SO36/2_61SL; Sonne; South Atlantic; South Atlantic Ocean; Southern East Pacific Rise; Southern Ocean; South Indian Ocean; South Orkney; South Pacific; South Pacific Ocean; South Tasman Rise; Tasman Sea; Thomas Washington; V16; V16-127; V16-129; V16-131; V16-133; V16-134; V16-81; V16-82; V16-87; V16-91; V16-96; V18; V18-188; V18-189; V18-192; V18-68; V19; V19-80; V19-87; V19-88; V20; V20-200; V21; V21-52; V21-53; V21-54; V21-55; V21-56; V21-57; V22; V22-108; V24; V24-206; V29; V29-104; V29-105; van Veen Grab; Vema; VGRAB; Weddell Sea; Wegener Canyon
    Type: Dataset
    Format: text/tab-separated-values, 990 data points
    Location Call Number Expected Availability
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