ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

X
feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • Oxford University Press  (98,011)
  • PANGAEA  (84,179)
  • Frontiers Media SA
  • 2020-2024  (38,116)
  • 2020-2023  (51)
  • 2015-2019  (132,471)
  • 1975-1979  (14,034)
Collection
Keywords
Publisher
Language
Years
Year
  • 1
    facet.materialart.
    Unknown
    Glacier mass balances and elevation zones of Hallstätter Gletscher, Dachstein, Austria, 2006/2007 et seq (2016)
    PANGAEA
    In:  Institut für Interdisziplinäre Gebirgsforschung der Österreichischen Akademie der Wissenschaften, Innsbruck
    Details
    Publication Date: 2024-07-11
    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, 47 datasets
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 2
    facet.materialart.
    Unknown
    Oceanographic changes through the last millennium off North Iceland: temperature and salinity reconstructions based on foraminifera and stable isotopes (2019)
    PANGAEA
    In:  Supplement to: Knudsen, Karen Luise; Eiriksson, Jón; Bartels-Jonsdottir, Helga B (2012): Oceanographic changes through the last millennium off North Iceland: Temperature and salinity reconstructions based on foraminifera and stable isotopes. Marine Micropaleontology, 84-85, 54-73, https://doi.org/10.1016/j.marmicro.2011.11.002
    Details
    Publication Date: 2024-07-11
    Description: Temperature and salinity reconstructions for two 1000-year high-resolution sedimentary records, located at the boundary between Atlantic and Arctic surface waters on the North Icelandic shelf, are based on transfer functions and oxygen isotopes for planktonic and benthic foraminifera. There is a general increase of Arctic Water indicator species at the transition from the Medieval Warm Period into the Little Ice Age (LIA) and a subsequent return of Atlantic Water indicator species towards the end of the LIA and in the 20th century. The timing of the reconstructed temperature changes, both at the beginning and at the end of the LIA, appears to be slightly different for the different water masses. The earliest temperature change is seen in the bottom and subsurface waters, where a cooling is reconstructed as early as AD 1150-1200 at both locations, whereas previously published diatom-based and alkenone-based sea-surface temperature reconstructions show a change at AD 1300, coinciding with the air temperature shift in the area. Our results show the need of a thorough understanding of the oceanography in the study area, as well as the different living habitat for the biological proxies used for the temperature estimates.
    Keywords: Benthic and planktonic foraminifera; Last millennium; North Icelandic shelf; Stable isotopes
    Type: Dataset
    Format: application/zip, 10 datasets
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 3
    facet.materialart.
    Unknown
    Geochemistry (Sr/Ca, δ¹⁸O, d18Osw) of Porites coral from the Cocos Keeling Islands (Australia) (2018)
    PANGAEA
    In:  Supplement to: Hennekam, Rick; Zinke, Jens; Van Sebille, Erik; Ten Have, Malou; Brummer, Geert-Jan A; Reichart, Gert-Jan (2018): Cocos (Keeling) corals reveal 200 years of multi-decadal modulation of southeast Indian Ocean hydrology by Indonesian Throughflow. Paleoceanography and Paleoclimatology, https://doi.org/10.1002/2017PA003181
    Details
    Publication Date: 2024-07-11
    Description: The only low latitude pathway of heat and salt from the Pacific Ocean to the Indian Ocean, known as Indonesian Throughflow (ITF), has been suggested to modulate Global Mean Surface Temperature (GMST) warming through redistribution of surface Pacific Ocean heat. ITF observations are only available since ~1990s, and thus, its multidecadal variability on longer time scales has remained elusive. Here we present a 200 year bimonthly record of geochemical parameters (d18O-Sr/Ca) measured on Cocos (Keeling) corals tracking sea surface temperature (SST; Sr/Ca) and sea surface salinity (SSS; seawater-d18O-d18Osw) in the southeastern tropical Indian Ocean (SETIO). Our results show that SETIO SSS and d18Osw were impacted by ITF transport over the past 60 years, and therefore, reconstructions of Cocos d18Osw hold information on past ITF variability on longer time spans. Over the past 200 years ITF leakage into SETIO is dominated by the interannual climate modes of the Pacific Ocean (El Niño-Southern Oscillation) and Indian Ocean (Indian Ocean Dipole). Pacific decadal climate variability (represented by the Pacific Decadal Oscillation) significantly impacted ITF strength over the past 200 years determining the spatiotemporal SST and SSS advection into the Indian Ocean on multidecadal time scales. A comparison of our SETIO d18Osw record to GMST shows that ITF transport varied in synchrony with global warming rate, being predominantly high/low during GMST warming slowdown/acceleration, respectively. This hints toward an important role for the ITF in global warming rate modulation.
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 4
    facet.materialart.
    Unknown
    Biogenic proxies, dust particles, teleconnections, carbon export and sub-orbital scalesfrom the composite sediment core MV99 GC41/PC14 (2018)
    PANGAEA
    In:  Supplement to: Arellano-Torres, Elsa; Álvarez-Covelli, Catalina; Kasper-Zubillaga, Juan José; Lozano-García, María del Socorro (2019): A 14-ka Record of Dust Input and Phytoplankton Regime Changes in the Subtropical NE Pacific: Oceanic and Terrestrial Processes Linked by Teleconnections at Suborbital Scales. Paleoceanography and Paleoclimatology, 34(1), 35-53, https://doi.org/10.1029/2018PA003479
    Details
    Publication Date: 2024-07-11
    Description: To study shifts in phytoplankton proxies linked to terrigenous inputs and teleconnections, we analyze the composite core MV99 GC41/PC14 from Soledad Basin, Gulf of Ulloa, NW Mexico. We used biogenic opal (% opal), organic carbon (% TOC) and inorganic carbon (% CaCO3) as proxies of productivity; and opal/TOC and CaCO3/TOC ratios as proxies of nutrient uptake and C-export by siliceous and carbonate organisms. We reconstructed terrestrial inputs using grain size Weibull analyses. Grain size analyses show significant amounts of fine fraction (between 0.06 - 6.6 µm) present during the early- to mid-Holocene in agreement to extreme weather on land, with episodes of aeolian and fluvial transport to the sea. The found that ENSO-like variations influence biological C-export producers on a scale of 1.1-1.8 ka, although PDO-related variability is uncertain. We suggest that Holocene drivers for phytoplankton successions are changes in insolation, ITCZ migration, California Current upwelling, nutrient inputs by advection and terrestrial sources.
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 5
    facet.materialart.
    Unknown
    Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund (July 2022 - December 2023) (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: The open source Video In Situ Snowfall Sensor (VISSS) is a novel instrument for the characterization of particle shape and size in snowfall. The VISSS consists of two cameras with LED backlights and telecentric lenses that allow accurate sizing and combine a large observation volume with relatively high resolution and a design that limits wind disturbance. Here, movies and images of falling precipitation particles are provided for station Ny-Ålesund from July 2022 to December 2023. For further details on the VISSS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; In-situ; Ny-Ålesund; snowfall; snowflake
    Type: Dataset
    Format: application/zip, 523 datasets
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 6
    facet.materialart.
    Unknown
    North Sea benthic meiofaunal communities in sediments during ALKOR cruise AL374 (2015)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Keywords: AL374; AL374_499-1; AL374_499-2; AL374_507-1; AL374_507-2; AL374_507-3; AL374_521-1; AL374_521-2; AL374_521-3; AL374_525-1; AL374_525-3; AL374_527-1; AL374_527-3; AL374_530-2; Alkor (1990); Bivalvia; Copepoda; Date/Time of event; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Echinodermata; ECO2; Elevation of event; Event label; Gastrotricha; Isopoda; Kinorhyncha; Latitude of event; Longitude of event; MIC; MiniCorer; Nauplii; Nematoda; Oligochaeta; Ostracoda; Polychaeta; Priapulida; Replicate; Rotifera; Salt Dome Juist; Size fraction; Sleipner; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Tardigrada
    Type: Dataset
    Format: text/tab-separated-values, 450 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 7
    facet.materialart.
    Unknown
    Antarctic free-air and complete Bouguer gravity anomaly grid (2016)
    PANGAEA
    In:  Supplement to: Scheinert, Mirko; Ferraccioli, Fausto; Schwabe, Joachim; Bell, Robin E; Studinger, Michael; Damaske, Detlef; Jokat, Wilfried; Aleshkova, Nadezhda D; Jordan, Tom A; Leitchenkov, German L; Blankenship, Donald D; Damiani, Theresa; Young, Duncan A; Cochran, James R; Richter, Thomas (2016): New Antarctic gravity anomaly grid for enhanced geodetic and geophysical studies in Antarctica. Geophysical Research Letters, 43(2), 600-610, https://doi.org/10.1002/2015GL067439
    Details
    Publication Date: 2024-07-11
    Description: Gravity surveying is challenging in Antarctica because of its hostile environment and inaccessibility. Nevertheless, many ground-based, airborne, and shipborne gravity campaigns have been completed by the geophysical and geodetic communities since the 1980s. We present the first modern Antarctic-wide gravity data compilation derived from 13 million data points covering an area of 10 million km**2, which corresponds to 73% coverage of the continent. The remove-compute-restore technique was applied for gridding, which facilitated leveling of the different gravity data sets with respect to an Earth gravity model derived from satellite data alone. The resulting free-air and Bouguer gravity anomaly grids of 10 km resolution are publicly available. These grids will enable new high-resolution combined Earth gravity models to be derived and represent a major step forward toward solving the geodetic polar data gap problem. They provide a new tool to investigate continental-scale lithospheric structure and geological evolution of Antarctica.
    Keywords: Accuracy; Bouguer anomaly; Free-air gravity anomaly; Height above ellipsoid; LATITUDE; LONGITUDE; Orthometric height; pan-Antarctica; x; y
    Type: Dataset
    Format: text/tab-separated-values, 2224256 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 8
    facet.materialart.
    Unknown
    Simulated gravity field solutions in icgem format (2017)
    PANGAEA
    In:  Supplement to: Daras, Ilias; Pail, Roland (2017): Treatment of temporal aliasing effects in the context of next generation satellite gravimetry missions. Journal of Geophysical Research: Solid Earth, 122(9), 7343-7362, https://doi.org/10.1002/2017JB014250
    Details
    Publication Date: 2024-07-11
    Description: has to be submitted by author
    Type: Dataset
    Format: application/zip, 14.8 MBytes
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 9
    facet.materialart.
    Unknown
    A global database of measured values of Li/Mg, Mg/Ca, Sr/Ca, Ba/Ca, U/Ca and Sr-U for coral and coralline algae paleoenvironment calibrations (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: Calcifying marine organisms provide a valuable means to access high-resolution historical records of the marine environment captured within their skeletal geochemistry. These records are essential for comprehending the effects of human-induced climate change and reducing uncertainties in future projections. Integrating investigations across various taxa, depths, and geographic locations can help identify universal environmental proxies and serve as a basis for targeted studies in the future. Here, we provide a comprehensive georeferenced database of measured values of Li/Mg, Mg/Ca, Sr/Ca, Ba/Ca, U/Ca and Sr-U in coral and coralline algae compiled from the scientific literature (1950-2021; http://www.webofknowledge.com, accessed 2022-09-30) for the purpose of interrogating and refining global, mineralogy specific and/or taxon-specific proxies for seawater temperature and barium. We include metadata relating to the source, timing and location of each study, the methodology used, and environmental and experimental information. The dataset presents an opportunity to quantify uncertainty and test the robustness of trace and minor element proxies for past environmental conditions, of which will be of value within the fields of geochemistry, ecology, climate, and palaeobiology. Full methodology and additional information provided in Williams et al. (2024).
    Keywords: aragonite; Ba/Ca; coralline algae; Corals; high-Mg calcitic corals; Li/Mg; Mg/Ca; octocorals; paleotemperature proxy; seawater barium; Sr/Ca; Sr-U; U/Ca
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 10
    facet.materialart.
    Unknown
    Tree-ring widths of Pinus sylvestris of tree samples Kom1213175b (2018)
    PANGAEA
    In:  Curt-Engelhorn-Zentrum Archäometrie gGmbH
    Details
    Publication Date: 2024-07-11
    Keywords: Age; AGE; DD; Dendro drill; Kom1213175; Lake Kom, Finland; Ring width
    Type: Dataset
    Format: text/tab-separated-values, 294 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 11
    facet.materialart.
    Unknown
    North Sea benthic nematode communities in sediments during ALKOR cruise AL374 (2015)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Keywords: Acantholaimus; Adoncholaimus; Aegialoalaimus; AL374; AL374_499-1; AL374_499-2; AL374_507-1; AL374_507-2; AL374_507-3; AL374_521-1; AL374_521-2; AL374_521-3; AL374_525-1; AL374_525-3; AL374_527-1; AL374_527-3; AL374_530-2; Alkor (1990); Ammotheristus; Antomicron; Axonolaimus; Bathylaimus; Calomicrolaimus; Campylaimus; Ceramonema; Chromadora; Chromadorella; Chromadorina; Chromadorita; Chromaspirina; Coninckia; Cyartonema; Daptonema; Dasynemoides; Date/Time of event; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Dichromadora; Diplopeltis; Diplopeltoides; Diplopeltula; ECO2; Elevation of event; Endeolophos; Enoploides; Eubostrichus; Eurystomina; Event label; Halalaimus; Halichoanolaimus; Intasia; Ixonema; Laimella; Latitude of event; Leptolaimus; Leptonemella; Linhystera; Longicyatholaimus; Longitude of event; Marylynnia; Mesacanthoides; Metadasynemoides; Metadesmolaimus; Metalinhomoeus; MIC; Microlaimus; MiniCorer; Molgolaimus; Monhystrella; Morlaixia; Nannolaimus; Nematoda; Odontophora; Oxyonchus; Paracanthonchus; Paradesmodora; Paralinhomoeus; Parallelocoilas; Paralongicyatholaimus; Paramesacanthion; Paramesonchium; Paramicrolaimus; Paramonhystera; Pararaeolaimus; Pareurystomina; Pierrickia; Pomponema; Prochromadora; Prochromadorella; Pselionema; Pseudochromadora; Pseudonchus; Pterygonema; Replicate; Rhabdocoma; Rhabdodemania; Rhynchonema; Richtersia; Sabatieria; Salt Dome Juist; Setoplectus; Setosabatieria; Siphonolaimus; Size fraction; Sleipner; Southerniella; Spirinia; Stephanolaimus; Stylotheristus; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Synonchiella; Synonema; Tarvaia; Theristus; Trichotheristus; Tricoma; Vasostoma; Viscosia; Wieseria; Xyala
    Type: Dataset
    Format: text/tab-separated-values, 1782 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 12
    facet.materialart.
    Unknown
    Tree-ring widths of Pinus sylvestris of tree samples Kom1213175a (2018)
    PANGAEA
    In:  Curt-Engelhorn-Zentrum Archäometrie gGmbH
    Details
    Publication Date: 2024-07-11
    Keywords: Age; AGE; DD; Dendro drill; Kom1213175; Lake Kom, Finland; Ring width
    Type: Dataset
    Format: text/tab-separated-values, 350 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 13
    facet.materialart.
    Unknown
    Altimetry, gravimetry, GPS and viscoelastic modelling data for the joint inversion for glacial isostatic adjustment in Antarctica (ESA STSE Project REGINA), links to data files (2017)
    PANGAEA
    In:  Supplement to: Sasgen, Ingo; Martín-Español, Alba; Horvath, Alexander; Klemann, Volker; Petrie, Elizabeth J; Wouters, Bert; Horwath, Martin; Pail, Roland; Bamber, Jonathan L; Clarke, Peter J; Konrad, Hannes; Wilson, Terry; Drinkwater, Mark R (2018): Altimetry, gravimetry, GPS and viscoelastic modeling data for the joint inversion for glacial isostatic adjustment in Antarctica (ESA STSE Project REGINA). Earth System Science Data, 10(1), 493-523, https://doi.org/10.5194/essd-10-493-2018
    Details
    Publication Date: 2024-07-11
    Description: A major uncertainty in determining the mass balance of the Antarctic ice sheet from measurements of satellite gravimetry, and to a lesser extent satellite altimetry, is the poorly known correction for the ongoing deformation of the solid Earth caused by glacial isostatic adjustment (GIA). In the past decade, much progress has been made in consistently modelling the ice sheet and solid Earth interactions; however, forward-modelling solutions of GIA in Antarctica remain uncertain due to the sparsity of constraints on the ice sheet evolution, as well as the Earth's rheological properties. An alternative approach towards estimating GIA is the joint inversion of multiple satellite data - namely, satellite gravimetry, satellite altimetry and GPS, which reflect, with different sensitivities, trends of recent glacial changes and GIA. Crucial to the success of this approach is the accuracy of the space-geodetic data sets. Here, we present reprocessed rates of surface-ice elevation change (Envisat/ICESat; 2003-2009), gravity field change (GRACE; 2003-2009) and bedrock uplift (GPS; 1995-2013). The data analysis is complemented by the forward-modelling of viscoelastic response functions to disc load forcing, allowing us to relate GIA-induced surface displacements with gravity changes for different rheological parameters of the solid Earth. The data and modelling results presented here form the basis for the joint inversion estimate of present-day ice-mass change and GIA in Antarctica. This paper presents the first of two contributions summarizing the work carried out within a European Space Agency funded study, REGINA, (http://www.regina-science.eu).
    Keywords: File content; File name; File size; pan-Antarctica; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 16 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 14
    facet.materialart.
    Unknown
    Mg/Ca ratios and SST reconstruction for sediment core MV99_GC41 (2019)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Keywords: AGE; DEPTH, sediment/rock; Event label; GC; Globigerina bulloides, Magnesium/Calcium ratio; Gravity corer; Inductively coupled plasma - mass spectrometry (ICP-MS); MV99_GC41; MV99_PC14; North Pacific; Sea surface temperature, annual mean; SST from Mg/Ca ratios
    Type: Dataset
    Format: text/tab-separated-values, 866 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 15
    facet.materialart.
    Unknown
    A global sediment trap database of Mg/Ca in planktic foraminifera Globigerinoides ruber (2018)
    PANGAEA
    In:  Supplement to: Gray, William Robert; Weldeab, Syee; Lea, David W; Rosenthal, Yair; Gruber, Nicolas; Donner, Barbara; Fischer, Gerhard (2018): The effects of temperature, salinity, and the carbonate system on Mg/Ca in Globigerinoides ruber (white): A global sediment trap calibration. Earth and Planetary Science Letters, 482, 607-620, https://doi.org/10.1016/j.epsl.2017.11.026
    Details
    Publication Date: 2024-07-11
    Description: The Mg/Ca of planktic foraminifera Globigerinoides ruber (white) is a widely applied proxy for tropical and sub-tropical sea-surface temperature. The accuracy with which temperature can be reconstructed depends on how accurately relationships between Mg/Ca and temperature and the multiple secondary controls on Mg/Ca are known; however, these relationships remain poorly quantified under oceanic conditions. Here, we present new calibrations based on 440 sediment trap/plankton tow samples from the Atlantic, Pacific and Indian Oceans, including 130 new samples from the Bay of Bengal/Arabian Sea and the tropical Atlantic Ocean. Our results indicate temperature, salinity and the carbonate system all significantly influence Mg/Ca in G. ruber (white). We propose two calibration models: The first model assumes pH is the controlling carbonate system parameter. In this model, Mg/Ca has a temperature sensitivity of 6.0 ± 0.8 %/°C (2 Sigma), a salinity sensitivity of 3.3 ± 2.2%/PSU and a pH sensitivity of -8.3 ± 7.7%/0.1 pH units; The second model assumes carbonate ion concentration ([CO3**2-]) is the controlling carbonate system parameter. In this model, Mg/Ca has a temperature sensitivity of 6.7 ± 0.8%/°C, a salinity sensitivity of 5.0 ± 3.0%/PSU and a [CO3**2-] sensitivity of -0.24 ± 0.11/µmol kg**1. In both models, the temperature sensitivity is significantly lower than the widely-applied sensitivity of 9.0 ± 0.6%/°C. Application of our new calibrations to down-core data from the Last Glacial Maximum, considering whole ocean changes in salinity and carbonate chemistry, indicate a cooling of 2.4 ± 1.6 °C in the tropical oceans if pH is the controlling parameter and 1.5 ± 1.4 °C if [CO3**2-] is the controlling parameter.
    Keywords: 110, M31/3-110.4_MSN1; 414; 601; Arabian Sea; Bay of Bengal; Bermuda; BIGSET; Cape Blanc; Carbonate ion; CB_trap; CBi3; Cenderawasih Bay; Day of study; Event label; Formosa Strait; Globigerinoides ruber white, Magnesium/Calcium ratio; GOC_trap; Guaymas Basin, Gulf of California; HAI; IMAGES VII - WEPAMA; Indian Ocean; JAM-1; JAM-2; JGOFS-IN-2; Latitude of event; Location; Longitude of event; M31/3; M31/3_MSN913; M32/5; M32/5_MSN974; M33/1; M33/1_MSN1007; Marion Dufresne (1995); MD122; MD122-PT10; MD122-PT12; MD122-PT17; MD122-PT18; MD122-PT26; Meteor (1986); MOOR; Mooring; Morphotype; MOZ1_trap; MOZ2; Mozambique Channel; MS-5; MSN; Multiple opening/closing net; NBBT-09; Oceanic Flux Program; off Cap Blanc; off south Java; OFP_trap; pH; POS344/1; Poseidon; Reference/source; Salinity; Sample ID; Sargasso Sea; SCIFF_site; SCS_M1s_trap; SCS_M2_trap; SCS_M3_trap; Sigma; Size fraction; SO119; SO119_MSN1284; Sonne; South China Sea; Sulu Sea; Temperature, water; Towed zooplankton net; Trap; TRAP; Trap, sediment; TRAPS
    Type: Dataset
    Format: text/tab-separated-values, 7480 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 16
    facet.materialart.
    Unknown
    Planktic and benthic foraminifera 14C from the Gulf of California (2019)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: Planktic and benthic foraminifera 14C measurements, published in Rafter et al. (2019) in GRL. These are a companion dataset to the benthic foraminifera 14C measurements published by Rafter et al. (2018) in Climate of the Past.
    Keywords: 14C; Age, dated; Age, dated material; Age, dated standard deviation; AOM; Calendar age; Calendar age, standard error; Core; CORE; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Foraminifera; Globigerina bulloides; Gulf of California; Habitat; hydrothermal; Laboratory code/label; LPAZ-21P; Pacific; planktic; planktonic; radiocarbon; volcanism; Δ14C; Δ14C, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 759 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 17
    facet.materialart.
    Unknown
    Compilation of high-resolution Holocene Mg/Ca and Uk37 SST reconstructions (2019)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: This dataset contains the collection of published Uk'37, Uk37 and Mg/Ca records spanning the mid-to late Holocene and used in the analyses of Laepple&Huybers, EPSL 2014 and Laepple&Huybers, PNAS 2014. It is largely based on Leduc et al. (2010).
    Keywords: 108-658C; 167-1019C; 175-1084B; 225514; 225517; 408US; A-7; Alboran Sea; Arabian Sea; AWI_ECUS; AWI_SPACE; Benguela Current, South Atlantic Ocean; CALYPSO; Calypso Corer; Canarias Sea; Cape Hateras; CD159-12; CH07-98-GGC19; CHIPAL; COMPCORE; Composite Core; D13882; D249; Discovery (1962); DRILL; Drilling/drill rig; Estimating climate variability by quantifying proxy uncertainty and synthesizing information across archives @ AWI; Event label; GC; GeoB3313-1; GeoB5901-2; GeoB6007-2; Giant piston corer; GINCO 3; GPC; Gravity corer; Gravity corer (Kiel type); Holocene climate variability; IMAGES I; IMAGES III - IPHIS; IMAGES IV-IPHIS III; IMAGES V; IMAGES VII - WEPAMA; Indonesia; IOW225514; IOW225517; James Clark Ross; Joides Resolution; JR20000727; JR51; JR51GC-35; KL; KR02-06A_GCC; Kurilen Trench; Leg108; Leg167; Leg175; M45/1; M45/5a; Marion Dufresne (1995); MD012378; MD01-2378; MD012412; MD01-2412; MD03-2707; MD101; MD106; MD111; MD114; MD122; MD952011; MD95-2011; MD952015; MD95-2015; MD952043; MD95-2043; MD972151; MD97-2151; MD982176; MD98-2176; MD982181; MD98-2181; MD99-2203; MD99-2251; Meteor (1986); MgCa; MV99_GC41_PC14; North Pacific; North Pacific Ocean; Northwest Pacific; OCE326-GGC26; OCE326-GGC30; PAKOMIN; PC; Piston corer; Piston corer (BGR type); Portuguese Margin; Proxy; RAPID-12-1K; Reference/source; Reykjanes Ridge; Rockall; SL; SO102/1; SO139; SO139-74KL; SO90; SO90_39KG_56KA; Sonne; South China Sea; South-East Pacific; Space-time structure of climate change @ AWI; SSDP102; Timor Sea; UK37; Uniform resource locator/link to source data file; Voring Plateau
    Type: Dataset
    Format: text/tab-separated-values, 93 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 18
    facet.materialart.
    Unknown
    Stable isotope record of Neogloboquadrina pachyderma sinistral of sediment composite core MD99-2273_BO5-2006-MC03B (2019)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Keywords: AGE; Benthic and planktonic foraminifera; COMPCORE; Composite Core; DEPTH, sediment/rock; Last millennium; Mass spectrometer Finnigan MAT 251; MD99-2273_BO5-2006-MC03B; N. Iceland shelf, Eyjafjardarall; Neogloboquadrina pachyderma sinistral, δ13C; Neogloboquadrina pachyderma sinistral, δ18O; North Icelandic shelf; Stable isotopes
    Type: Dataset
    Format: text/tab-separated-values, 474 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 19
    facet.materialart.
    Unknown
    Marine fossil radiocarbon (14C) compilation up to 2021 (2022)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: This dataset includes a global compilation of new and published 14C measurements of benthic foraminifera and deep-sea corals (from 0-to 49872 years BP). We synthesized this new dataset into basin-average 14C ventilation age values over the 25,000 years, along density surfaces associated with the upper and lower cells of global ocean overturning circulation (27.5 and 28 kg m^-3, respectively). The published datasets are from all ocean basins, even those not utilized in our synthesis. We also provide the basin-average estimates for the Atlantic, Southern, and Pacific Oceans as produced by the Rafter et al. 2022 study.
    Keywords: 0050PG; 0066PG; 145-883; 145-887; 146-893A; 167-1019A; 202-1240; 202-1242A; 341-U1419; 35MF20120125, OISO_21, INDIEN SUD 2; 47396B; 50-37KL; 64-480; 90b; AII125-8-55; AII125-8-56; Akademik M.A. Lavrentyev; ALV-3887-1549-004-007; ALV-3887-1549-004-009; ALV-3887-1549-004-012; ALV-3890-1407-003-001; ALV-3891-1459-003-002; ALV-3891-1758-006-003; AMOCINT, IMAGES XVII; ANT-XI/4; ANT-XXIII/9; ANT-XXVI/2; Argentine Basin; ARK-II/5; ARK-X/2; Azores; B34-91; BC; Bering Sea; Binary Object; BO04-PC11; Box corer; Brazil Basin; Burdwood_Bank; CALYPSO; CALYPSO2; Calypso Corer; Calypso Corer II; Calypso square corer; Calypso Square Core System; Canarias Sea; Cape_Horn; Caribbean Sea; CASQ; CASQS; CD159; CD159-10; CD159-15; CD159-17; CD38-17P; Celtic Sea; Cenderawasih Bay; Central Pacific; CH84-14; Charles Darwin; CHAT_10k; CHAT_16k; CHAT-3K; CHAT-5K; Chatham Rise; COMPCORE; Composite Core; Conrad Rise; Core; CORE; Core1471; Core2088; Core21210009; Core2307; Core2631; Core2657; Core2706; Core2774; Core47396; Core654; Core660; Core936; Corner Rise; Denmark Strait; Drake Passage; DRILL; Drilling/drill rig; Eastern Equatorial Pacific; Eastern slope of Kurile Basin; East Pacific; Emperor Seamounts; EN06601; EN066-39GGC; Endeavor; Equatorial East Pacific; ESTASE1; EW0408; EW0408-26JC; EW0408-85JC; EW0408-87JC; Exp341; F2-92-P3; F8-90-G21; File content; Galapagos; Galápagos Islands; GC; GC_POI; GeoB1503-1; GeoB2104-3; GeoB7149-2; GeoB7162-6; GeoB7163-7; GeoB7167-6; GGC; GGC5; gh02-1030; Giant box corer; Giant gravity corer; Giant piston corer; GIK17940-1; GIK23243-2 PS05/431; GKG; Glomar Challenger; GPC; Gravity corer; Gravity corer (Kiel type); Gravity corer (POI); GS07-150-17/1GC-A; GS07-150-20/2A; Gulf of Alaska; Gulf of California; H209; H213; HH12-946MC; HU72-021-7; HU89038-8PC; IMAGES III - IPHIS; IMAGES IV-IPHIS III; IMAGES V; IMAGES VIII - MONA; IMAGES VII - WEPAMA; IMAGES XII - MARCO POLO; IMAGES XV - Pachiderme; Indian Ocean; INOPEX; Interim_Seamount; Japan Trench; Jean Charcot; JM-FI-19PC; Joides Resolution; JPC; JPC30; JT96-09; JT96-09PC; Jumbo Piston Core; KAL; KALMAR II; Kasten corer; KL; KN_USA; KN11002; KN159-5; Knorr; KNR073-04-003; KNR110-50; KNR110-66; KNR110-82a; KNR110-82GGC; KNR140; KNR140-01JPC; KNR140-02JPC; KNR140-12JPC; KNR140-2-12JPC; KNR140-2-22JPC; KNR140-22JPC; KNR140-2-30GGC; KNR140-2-51GGC; KNR140-26GGC; KNR140-30GGC; KNR140-37JPC; KNR140-39GGC; KNR140-43GGC; KNR140-50GGC; KNR140-51GGC; KNR140-56GGC; KNR140-66GGC; KNR159-5; KNR159-5-36GGC; KNR159-5-78GGC; KNR176-17GC; KNR178; KNR178-2GGC; KNR178-32JPC; KNR195-5-CDH23; KNR195-5-CDH26; KNR195-5-CDH41; KNR195-5-GGC43; KNR197-10; KNR197-10CDH42; KNR197-10-CDH42; KNR197-10-CDH46; KNR197-10-GGC17; KNR197-10-GGC36; KNR197-10-GGC5; KNR198-CDH36; KNR198-GGC15; KNR31GPC5; KNR733P; KNR734P; KNR736P; KOL; KOMEX; KOMEX II; KR02-15-PC06; Kronotsky Peninsula; KT89-18-P4; Lakshadweep Sea; Laurentian fan; Leg145; Leg146; Leg167; Leg202; Leg64; Le Suroît; LPAZ21P; LV27/GREGORY; LV27-2-4; LV29-114-3; LV29-2; M16/2; M23/2; Marion Dufresne (1972); Marion Dufresne (1995); Maurice Ewing; Mazatlan; MCSEIS; MD012378; MD01-2378; MD012386; MD01-2386; MD012416; MD01-2416; MD012420; MD01-2420; MD022489; MD02-2489; MD022519; MD02-2519; MD03-2697; MD03-2707; MD052896; MD05-2896; MD052904; MD05-2904; MD07-3076; MD07-3076Q; MD07-3088; MD08-3169; MD08-3180; MD09-3256; MD09-3256Q; MD09-3257; MD106; MD111; MD114; MD122; MD12-3396Cq; MD126; MD13; MD134; MD147; MD159; MD168; MD173; MD189; MD77-176; MD972106; MD97-2106; MD972120; MD97-2120; MD972121; MD97-2121; MD972138; MD97-2138; MD982165; MD98-2165; MD982181; MD98-2181; MD99-2334; ME0005A; ME0005A-24JC; ME0005A-43JC; Melville; Meteor (1986); ML1208-01PC; MONITOR MONSUN; MR01-K03; MR06-04_PC04A; MUC; Multichannel seismics; MultiCorer; MV99-GC38; MV99-MC17/GC32/PC10; MV99-MC19/GC31/PC08; NEMO; Nesmeyanov25-1-GGC15; Nesmeyanov25-1-GGC18; Nesmeyanov25-1-GGC20; Nesmeyanov25-1-GGC27; New_England_Seamounts; North Atlantic; North Greenland Sea; North Pacific/Gulf of California/BASIN; North Pacific Ocean; Northwest Atlantic; Norwegian Sea; OCE326-GGC14; OCE326-GGC26; OCE326-GGC5; off Chile; off Nova Scotia; OSIRIS III; Pacific Ocean; PALEOCINAT; PC; Philippine Sea; PICABIA; Piston corer; Piston corer (BGR type); Piston corer (Kiel type); PLDS-007G; PLDS-1; Pleiades; Polarstern; PS05; PS1243-2; PS2606-6; PS2644-2; PS30; PS30/144; PS31; PS31/160; PS69; PS69/907-2; PS69/912-3; PS69/912-4; PS75/059-2; PS75/100-4; PS75/104-1; PS75 BIPOMAC; PUCK; RAPiD-10-1P; RAPiD-15-4P; RAPiD-17-5P; RBDASS05; RC24; RC24-8GC; RC27; RC27-14; RC27-23; Remote operated vehicle; RETRO-2; RNDB-GGC15; RNDB-GGC5; RNDB-PC11; RNDB-PC13; Robert Conrad; ROV; RR0503-36JPC; RR0503-41JPC; RR0503-64JPC; RR0503-79JPC; RR0503-831C; RR0503-83GC; S67-FFC15; S794; S931; Sakhalin shelf and slope; Sars_Seamount; Scotia Sea; Sea of Okhotsk; SEDCO; Sediment corer; Shackleton_Fracture_Zone; SHAK03-6K; SHAK05-3K; SHAK06-4K; SHAK06-5K; SHAK10-10K; SHAK14-4G; Shirshov Ridge; SK129-CR2; SL; Smithsonian_48735.1; SO156/2; SO156/3; SO161/3; SO161/3_22; SO178; SO178-13-6; SO201/2; SO201-2-101; SO201-2-12KL; SO201-2-77; SO201-2-85; SO202/1; SO202/1_18-6; SO213/2; SO213/2_76-2; SO213/2_79-2; SO213/2_82-1; SO213/2_84-1; SO95; Sonne; SOPATRA; South Atlantic; South Atlantic Ocean; South China Sea; Southern Alaska Margin: Tectonics, Climate and Sedimentation; South of Iceland; South Pacific Ocean; South Tasman Rise; Southwest Pacific Ocean; SPOC; Station 6, MD189-3396; SU90-08; Thomas G. Thompson (1964); Thomas Washington; Timor Sea; TNO57-21; TR163-22; TR163-23; TR163-31; TT154-10; TTN13-18; TTXXX; U938; V34; V34-98; V35; V35-5; V35-6; Vema; Vigo; VINO19-4-GGC17; VINO19-4-GGC37; VM21-29; VM21-30; VM23-81; VM28-122; VM28-238; VNTR01; VNTR01-10GC; W8709A; W8709A-13; Wecoma
    Type: Dataset
    Format: text/tab-separated-values, 8 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 20
    facet.materialart.
    Unknown
    Global marine radiocarbon data compilation for the last deglaciation, global average estimates derived from spatial interpolations (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: Compiled marine radiocarbon data from the global ocean, derived from planktonic/benthic foraminifera and corals, spanning the last deglaciation, with associated calendar ages that are independently derived and/or are consistent with the Marine20 radiocarbon calibration curve. The data have been screened and include data flags pertaining to anomalous values (e.g. negative offsets relative to the contemporary atmosphere), low sedimentation rates 〈2 cm/kyr, and/or deviations from dominant regional-temporal trends. The data are further grouped by ocean basin, and according to their associated calendar ages as belonging to a succession of time slices across the last deglaciation: the Last Glacial Maximum (LGM), Heinrich Stadial 1 (HS1), the Bolling-Allerod (BA), the Younger Dryas, the Early Holocene (7-11ka BP), and the late Holocene (〈6 ka BP).
    Keywords: 0050PG; 0066PG; 145-887; 146-893A; 167-1019; 17/1GCA; 1K-SUERC; 1P-OS-75; 1P-SUERC; 202-1240; 22SL; 310-M0015A; 310-M0016A; 310-M0018A; 310-M0020A; 310-M0021A; 310-M0023A; 310-M0023B; 310-M0024A; 310-M0025A; 310-M0025B; 310-M0026A; 313-M0027A; 313-M0029A; 341-U1419; 35MF20120125, OISO_21, INDIEN SUD 2; 47396B; 4P-OS-75; 4P-SUERC; 50-37KL; 5P-OS-79; 5P-SUERC; 64-480; 90b; 94-609; AII125-8-55; AII125-8-56; AK-AA-1; Akademik M.A. Lavrentyev; AK-BC-2; AK-F-1; AK-L-1; ALIENOR; also published as VM28-122; ALV; ALV-3884; ALV-3885; ALV-3887; ALV-3890; ALV-3891; ALV-3892; ALV-4162; ALVIN; ANT-XI/4; ANT-XXIII/9; ANT-XXVI/2; ARA04-43E; Argentine Basin; ARK-II/5; ARK-X/2; AT07-35; AT12-01; Atlantis (1997); B34-91; BC; Bering Sea; BO04-PC11; Box corer; Brazil Basin; Burdwood_Bank; CALYPSO; CALYPSO2; Calypso Corer; Calypso Corer II; Calypso square corer; Calypso Square Core System; CASQ; CASQS; CD159; CD159-10; CD38-17P; CDRILL; Cenderawasih Bay; CH84-14; Charles Darwin; CHAT 10K; CHAT-10K; CHAT-16K; CHAT-3K; CHAT-5K; CHR-4; CHR-5; CHR-6; CHR-7; COMPCORE; Composite Core; Conrad Rise; Coral; Core; CORE; Core drilling; Corner Rise; DAPC2; deglacial; Denmark Strait; DH117; DH43; DH74; DP Hunter; DR23; DR27; DR34; DR35; DR38; DR40; Drake Passage; Dredge; DRG; DRILL; Drill9A_Tasmaloum; Drilling/drill rig; Eastern Equatorial Pacific; Eastern slope of Kurile Basin; East Pacific; EBA1; EBA10; EBA11; EBA2; EBA3; EBA4; EBA5; EBA6; EBA7; EBA8; EBA9; EBB1; EBB2; EBB3; EBB4; EBB5; EBB6; EBB7; ENG-111; Equatorial East Pacific; Equatorial Indian Ocean; ESTASE1; ET97-7T; EW0408; EW0408-26JC; EW0408-87JC; Exp310; Exp313; Exp341; f0001carcs; F2-92-P3; F8-90-G21; FLAMINGO; Foraminifera; GC; GC_POI; GeoB1503-1; GeoB2104-3; GeoB7149-2; GeoB7162-6; GeoB7163-7; GeoB7167-6; GEOSCIENCES, MARMARCORE; GGC; GGC5; gh02-1030; Giant box corer; Giant gravity corer; Giant piston corer; GIK23243-2 PS05/431; GIK23415-9; GKG; Glomar Challenger; GPC; Gramberg Seamount; Gravity corer; Gravity corer (Kiel type); Gravity corer (POI); GS07-150-20/2A; Gulf of California; H209; H213; HU72-021-3; HU72-021-7; HU89038-8PC; IMAGES I; IMAGES III - IPHIS; IMAGES IV-IPHIS III; IMAGES V; IMAGES VII - WEPAMA; IMAGES XII - MARCO POLO; IMAGES XV - Pachiderme; Indian Ocean; INOPEX; Interim_Seamount; James Cook; Japan Trench; JC094; JC094_GRM; Jean Charcot; JFA17; JFA2; JFA20; JFA24; JF-FI-19PC; Joides Resolution; JPC; JT96-09; JT96-09PC; Jumbo Piston Core; KAL; KALMAR II; Kasten corer; Kayd; KL; KN_USA; KN11002; KN159-5; Knorr; KNR110-50; KNR110-66; KNR110-82a; KNR110-82GGC; KNR140; KNR140-01JPC; KNR140-02JPC; KNR140-12JPC; KNR140-2-12JPC; KNR140-2-22JPC; KNR140-22JPC; KNR140-2-30GGC; KNR140-2-51GGC; KNR140-26GGC; KNR140-30GGC; KNR140-37JPC; KNR140-39GGC; KNR140-43GGC; KNR140-50GGC; KNR140-51GGC; KNR140-56GGC; KNR140-66GGC; KNR159-5; KNR159-5-78GGC; KNR176-17GC; KNR176-2; KNR176-2-JPC30; KNR178; KNR178-2GGC; KNR178-32JPC; KNR195-5-CDH23; KNR195-5-CDH26; KNR195-5-CDH41; KNR195-5-GGC43; KNR197-10; KNR197-10CDH42; KNR197-10-CDH42; KNR197-10-CDH46; KNR197-10-GGC17; KNR197-10-GGC5; KNR198-CDH36; KNR198-GGC15; KNR198-GGC35; KNR31GPC5; KNR73-3PC; KNR73-4PC; KNR73-6PG; KOL; KOMEX; KOMEX II; KR02-15-PC06; Kronotsky Peninsula; KT89-18-P4; Lakshadweep Sea; Laurentian fan; Leg145; Leg146; Leg167; Leg202; Leg64; Leg94; Le Suroît; LMG06-05-9; LPAZ21P; LV27/GREGORY; LV27-2-4; LV29-114-3; LV29-2; M16/2; M17/2; M23/2; marine; Marion Dufresne (1972); Marion Dufresne (1995); MAT-1A; MAT-3A; Maurice Ewing; MD012386; MD01-2386; MD012420; MD01-2420; MD01-2461; MD02-2461; MD022489; MD02-2489; MD03-2697; MD03-2707; MD04-2829CQ; MD04-2845; MD052896; MD05-2896; MD052904; MD05-2904; MD07-3076; MD07-3076Q; MD07-3088; MD08-3169; MD09-3256; MD09-3256Q; MD09-3257; MD101; MD106; MD111; MD114; MD122; MD123; MD12-3396Cq; MD13; MD134; MD141; MD147; MD159; MD173; MD189; MD77-176; MD952002; MD95-2002; MD952007; MD95-2007; MD972106; MD97-2106; MD972121; MD97-2121; MD972138; MD97-2138; MD982165; MD98-2165; MD982181; MD98-2181; MD99-2331; MD99-2334; ME0005-24JC; Melville; Meriadzec; Meteor (1986); ML1208-01PC; MR01-K03; MR06-04_PC04A; MUC; MULT; MultiCorer; Multiple investigations; Mururoa; MV1007; MV1007-DO3; MV99-GC31; MV99-GC38; MV99-MC17/GC32/PC10; MV99-MC19; MV99-PC08; NA064-117-1; NA064-118-1; NA87-22; Nathaniel B. Palmer; NBP0805; NBP0805-DR23; NBP0805-DR27; NBP0805-DR34; NBP0805-DR35; NBP0805-DR36; NBP0805-DR38; NBP0805-DR40; NBP0805-TB04; NBP1103; NBP1103-DH07; NBP1103-DH112; NBP1103-DH113; NBP1103-DH115; NBP1103-DH117; NBP1103-DH120; NBP1103-DH134; NBP1103-DH14; NBP1103-DH140; NBP1103-DH143; NBP1103-DH15; NBP1103-DH22; NBP1103-DH43; NBP1103-DH74; NBP1103-DH95; Nesmeyanov25-1-GGC15; Nesmeyanov25-1-GGC18; Nesmeyanov25-1-GGC20; Nesmeyanov25-1-GGC27; New England Mountains; New Jersey Shallow Shelf; North Atlantic; North Atlantic/FLANK; Northeast Atlantic; North East Atlantic; North Pacific/Gulf of California/BASIN; North Pacific Ocean; Northwest Atlantic; Norwegian Sea; OCE326-GGC14; OCE326-GGC26; OCE326-GGC5; off Chile; off Nova Scotia; OK-3; OK-8; OKB-36A; OKB-53B; OKB-B3; OSIRIS III; Pacific Ocean; PALEOCINAT; PALEOCINAT II; papua; PC; PC75-1; PC75-2; Philippine Sea; PICABIA; Piston corer; Piston corer (BGR type); Piston corer (Kiel type); PLDS-007G; PLDS-1; Pleiades; Polarstern; PS05; PS1243-2; PS2606-6; PS2644-5; PS30; PS30/144; PS31; PS31/160-5; PS69; PS69/907-2; PS69/912-3; PS69/912-4; PS75/059-2; PS75/100-4; PS75/104-1; PS75 BIPOMAC; PUCK; radiocarbon dates; RAPiD-10-1P; RBDASS05; RBDASS05_H11; RBDASS05_H15; RC11; RC1112; RC11-238; RC24; RC24-8GC; RC27; RC27-14; RC27-23; Remote operated vehicle; Remote operated vehicle Jason II; RETRO-2; RGF_Barbados; RGF-12; RGF-15; RGF-16; RGF-9; RNDB-GGC15; RNDB-GGC5; RNDB-PC11; RNDB-PC13; Robert Conrad; ROV; ROVJ; RR0503-06JPC; RR0503-36JPC; RR0503-64JPC; RR0503-79JPC; RR0503-831C; RR0503-83GC; S67-FFC15; S794; S931; S938; Sakhalin shelf and slope; Sars_Seamount; SC4_ST2_SW2_SX1; Scotia Sea; Sea of Okhotsk; SEDCO; Sediment corer; Shackleton_Fracture_Zone; SHAK03-6K; SHAK05-3K; SHAK06-4K; SHAK10-10K; SHAK14-4G; Shirshov Ridge; Sindhu Sadhana; Site_1471; Site_2088; Site_21210009; Site_2307; Site_2631; Site_2657; Site_2706; Site_2774; Site_47396; Site_654; Site_660; Site_936; SK129-CR2; SL; Smithsonian_48735.1; SO156/2; SO156/3; SO161/5; SO161/5_22SL; SO178; SO178-13-6; SO201/2; SO201-2-101; SO201-2-12KL; SO201-2-77; SO201-2-85; SO202/1; SO202/1_18-6; SO213/2; SO213/2_76-2; SO213/2_79-2; SO213/2_82-1; SO213/2_84-1; Sonne; SOPATRA; South Atlantic; South Atlantic Ocean; South China Sea; Southern Alaska Margin: Tectonics, Climate and Sedimentation; South of Iceland; South Pacific Ocean; South Tasman Rise; Southwest Pacific; Southwest Pacific Ocean; SPOC; SS152; SS172; SSD-044; SSD044_GC-01; Station 6, MD189-3396; St Kildas Basin; SU90-08; SU92; SU92-03; Submersible Alvin; TAH-01A-3A; TAH-02A-4F; TAH-02A-4G; TAH-02A-4H; TAH-02A-5D; TAH-02A-5F; TAH-02A-5G; TAH-02A-5H; TAH-03A-1; TAH-03A-1A; TAH-03A-1E; Tahiti, offshore Faaa; Tahiti, offshore Maraa; Tahiti, offshore Tiarei; Tahiti Sea Level; Ta-P6; Ta-P7; Ta-P8; Tasman Sea; Thomas G. Thompson; Thomas G. Thompson (1964); Thomas Washington; TN228; TN228_J2_382; TN228_J2_383; TN228_J2_387; TN228_J2_389; TN228_J2_393; TN228_J2_395; TNO57-21; TR163-22; TR163-23; TR163-31; TROPICS; TT154-10; TTN013-18; TTXXX; U938; U939; urlepa; V19; V19-27; V21; V21-40; V28; V28-122; V28-238; V34; V34-98; V35; V35-5; V35-6; VAY1; VEM1_8; Vema; ventilation; Vigo; VINO19-4-GGC17; VINO19-4GGC-37; VINO19-4-GGC37; VM21-30; VNTR01; VNTR01-10GC; Vuolep Allakasjaure; W8709A; W8709A-13; Wecoma
    Type: Dataset
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 11.1 kBytes
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 21
    facet.materialart.
    Unknown
    Glacier mass balance Hallstätter Gletscher, Dachstein, Austria, 2022/2023 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: The annual glacier mass balance of Hallstätter Gletscher in Austria is measured since 1.10.2006 with the direct glaciological method in the fixed date system (1.10. to 30. 09. of the following year). The accumulation of snow is measured by determination of the water equivalent in 6 snow pits, the ice ablation is measured with 15 stakes drilled into the ice. Results are the annual net mass balance in kg, the total accumulation and ablation, the glacier area and the portions of the area which are subject to ablation and accumulation, the elevation of the equilibrium line and the specific mass balance in kg/m² (= mm w.e.). The accumulation during the winter is determined by the 1 May. The project is funded by the Federal Government of Upper Austria. The measurements are carried out the Institute for Interdisciplinary Mountain Research of the Austrian Academy of Sciences and the company Blue Sky in Gmunden, Austria.
    Keywords: Ablation area; Accumulation area ratio; Alps; Austria; Dachstein; DATE/TIME; Equilibrium line altitude; Glacier mass balance; Glaciers_austria; Hallstätter Gletscher, Dachstein, Austria; HSG; Mass balance, total; Mass balance in ablation area; Mass balance in accumulation area; Specific mass balance; Specific mass balance, summer; Specific mass balance, winter; Specific mass balance in the ablation area; Specific mass balance in the accumulation area; Total area
    Type: Dataset
    Format: text/tab-separated-values, 13 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 22
    facet.materialart.
    Unknown
    Elevation zones Hallstätter Gletscher, Dachstein, Austria, 2013/2014 (2015)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Keywords: DATE/TIME; Date/time end; Elevation, maximum; Elevation, minimum; Glaciers Austria; Hallstätter Gletscher, Dachstein, Austria; HSG; Mass balance, total of the altitude zone; Specific mass balance of the altitude zone; Specific mass balance of the altitude zone, summer; Specific mass balance of the altitude zone, winter; Total area of the altitude zone
    Type: Dataset
    Format: text/tab-separated-values, 120 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 23
    facet.materialart.
    Unknown
    Sediment biogeochemistry at CO2 vents off Papua-New Guinea (2013) (2016)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Keywords: BIOACID; BIOACID 2 PNG2013; Biological Impacts of Ocean Acidification; Carbon, inorganic, total; Carbon, organic, total; Core; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; DIVER; Elevation of event; Event label; Latitude of event; Longitude of event; M.V. Chertan; Median, grain size; Nitrogen, total; Period; Permeability (earth science); PNG2013_Halophila; PNG2013_NexttoHalophila; PNG2013_Redpatch; PNG2013_Reference; PNG2013_Site3.1; PNG2013_Site3.2; PNG2013_Site4; PNG2013_Site56; Sampling by diver; Site
    Type: Dataset
    Format: text/tab-separated-values, 336 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 24
    facet.materialart.
    Unknown
    Elevation zones Hallstätter Gletscher, Dachstein, Austria, 2016/2017 (2018)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Keywords: DATE/TIME; Elevation, maximum; Elevation, minimum; Glaciers Austria; Hallstätter Gletscher, Dachstein, Austria; HSG; Mass balance, total of the altitude zone; Specific mass balance of the altitude zone; Specific mass balance of the altitude zone, summer; Specific mass balance of the altitude zone, winter; Total area of the altitude zone
    Type: Dataset
    Format: text/tab-separated-values, 98 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 25
    facet.materialart.
    Unknown
    Glacier mass balance Hallstätter Gletscher, Dachstein, Austria, 2015/2016 (2018)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Keywords: Ablation area; Accumulation area; Accumulation area ratio; DATE/TIME; Equilibrium line altitude; Glaciers Austria; Hallstätter Gletscher, Dachstein, Austria; HSG; Mass balance, total; Mass balance in ablation area; Mass balance in accumulation area; Specific mass balance; Specific mass balance, summer; Specific mass balance, winter; Specific mass balance in the ablation area; Specific mass balance in the accumulation area; Total area
    Type: Dataset
    Format: text/tab-separated-values, 13 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 26
    facet.materialart.
    Unknown
    Global marine radiocarbon data compilation for the last deglaciation (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: Compiled marine radiocarbon data from the global ocean, derived from planktonic/benthic foraminifera and corals, spanning the last deglaciation, with associated calendar ages that are independently derived and/or are consistent with the Marine20 radiocarbon calibration curve. The data have been screened and include data flags pertaining to anomalous values (e.g. negative offsets relative to the contemporary atmosphere), low sedimentation rates 〈2 cm/kyr, and/or deviations from dominant regional-temporal trends. The data are further grouped by ocean basin, and according to their associated calendar ages as belonging to a succession of time slices across the last deglaciation: the Last Glacial Maximum (LGM), Heinrich Stadial 1 (HS1), the Bolling-Allerod (BA), the Younger Dryas, the Early Holocene (7-11ka BP), and the late Holocene (〈6 ka BP).
    Keywords: 0050PG; 0066PG; 145-887; 146-893A; 167-1019; 17/1GCA; 1K-SUERC; 1P-OS-75; 1P-SUERC; 202-1240; 22SL; 310-M0015A; 310-M0016A; 310-M0018A; 310-M0020A; 310-M0021A; 310-M0023A; 310-M0023B; 310-M0024A; 310-M0025A; 310-M0025B; 310-M0026A; 313-M0027A; 313-M0029A; 341-U1419; 35MF20120125, OISO_21, INDIEN SUD 2; 47396B; 4P-OS-75; 4P-SUERC; 50-37KL; 5P-OS-79; 5P-SUERC; 64-480; 90b; 94-609; Age, 14C AMS; Age, comment; Age, dated; Age, dated standard error; Age, difference; Age, difference error; AII125-8-55; AII125-8-56; AK-AA-1; Akademik M.A. Lavrentyev; AK-BC-2; AK-F-1; AK-L-1; ALIENOR; also published as VM28-122; ALV; ALV-3884; ALV-3885; ALV-3887; ALV-3890; ALV-3891; ALV-3892; ALV-4162; ALVIN; ANT-XI/4; ANT-XXIII/9; ANT-XXVI/2; ARA04-43E; Argentine Basin; ARK-II/5; ARK-X/2; AT07-35; AT12-01; Atlantis (1997); B34-91; Basin; BC; Bering Sea; BO04-PC11; Box corer; Brazil Basin; Burdwood_Bank; calculated, 1 sigma; Calendar age; Calendar age, standard error; CALYPSO; CALYPSO2; Calypso Corer; Calypso Corer II; Calypso square corer; Calypso Square Core System; CASQ; CASQS; CD159; CD159-10; CD38-17P; CDRILL; Cenderawasih Bay; CH84-14; Charles Darwin; CHAT 10K; CHAT-10K; CHAT-16K; CHAT-3K; CHAT-5K; CHR-4; CHR-5; CHR-6; CHR-7; Comment; COMPCORE; Composite Core; Conrad Rise; Coral; Core; CORE; Core drilling; Corner Rise; DAPC2; deglacial; Denmark Strait; DH117; DH43; DH74; DP Hunter; DR23; DR27; DR34; DR35; DR38; DR40; Drake Passage; Dredge; DRG; DRILL; Drill9A_Tasmaloum; Drilling/drill rig; Eastern Equatorial Pacific; Eastern slope of Kurile Basin; East Pacific; EBA1; EBA10; EBA11; EBA2; EBA3; EBA4; EBA5; EBA6; EBA7; EBA8; EBA9; EBB1; EBB2; EBB3; EBB4; EBB5; EBB6; EBB7; ELEVATION; ENG-111; Equatorial East Pacific; Equatorial Indian Ocean; ESTASE1; ET97-7T; Event label; EW0408; EW0408-26JC; EW0408-87JC; Exp310; Exp313; Exp341; f0001carcs; F2-92-P3; F8-90-G21; Flag; FLAMINGO; Foraminifera; GC; GC_POI; GeoB1503-1; GeoB2104-3; GeoB7149-2; GeoB7162-6; GeoB7163-7; GeoB7167-6; Geological time slice; GEOSCIENCES, MARMARCORE; GGC; GGC5; gh02-1030; Giant box corer; Giant gravity corer; Giant piston corer; GIK23243-2 PS05/431; GIK23415-9; GKG; Glomar Challenger; GPC; Gramberg Seamount; Gravity corer; Gravity corer (Kiel type); Gravity corer (POI); GS07-150-20/2A; Gulf of California; H209; H213; HU72-021-3; HU72-021-7; HU89038-8PC; IMAGES I; IMAGES III - IPHIS; IMAGES IV-IPHIS III; IMAGES V; IMAGES VII - WEPAMA; IMAGES XII - MARCO POLO; IMAGES XV - Pachiderme; Indian Ocean; INOPEX; Interim_Seamount; James Cook; Japan Trench; JC094; JC094_GRM; Jean Charcot; JFA17; JFA2; JFA20; JFA24; JF-FI-19PC; Joides Resolution; JPC; JT96-09; JT96-09PC; Jumbo Piston Core; KAL; KALMAR II; Kasten corer; Kayd; KL; KN_USA; KN11002; KN159-5; Knorr; KNR110-50; KNR110-66; KNR110-82a; KNR110-82GGC; KNR140; KNR140-01JPC; KNR140-02JPC; KNR140-12JPC; KNR140-2-12JPC; KNR140-2-22JPC; KNR140-22JPC; KNR140-2-30GGC; KNR140-2-51GGC; KNR140-26GGC; KNR140-30GGC; KNR140-37JPC; KNR140-39GGC; KNR140-43GGC; KNR140-50GGC; KNR140-51GGC; KNR140-56GGC; KNR140-66GGC; KNR159-5; KNR159-5-78GGC; KNR176-17GC; KNR176-2; KNR176-2-JPC30; KNR178; KNR178-2GGC; KNR178-32JPC; KNR195-5-CDH23; KNR195-5-CDH26; KNR195-5-CDH41; KNR195-5-GGC43; KNR197-10; KNR197-10CDH42; KNR197-10-CDH42; KNR197-10-CDH46; KNR197-10-GGC17; KNR197-10-GGC5; KNR198-CDH36; KNR198-GGC15; KNR198-GGC35; KNR31GPC5; KNR73-3PC; KNR73-4PC; KNR73-6PG; KOL; KOMEX; KOMEX II; KR02-15-PC06; Kronotsky Peninsula; KT89-18-P4; Lakshadweep Sea; LATITUDE; Laurentian fan; Leg145; Leg146; Leg167; Leg202; Leg64; Leg94; Le Suroît; LMG06-05-9; LONGITUDE; LPAZ21P; LV27/GREGORY; LV27-2-4; LV29-114-3; LV29-2; M16/2; M17/2; M23/2; marine; Marion Dufresne (1972); Marion Dufresne (1995); MAT-1A; MAT-3A; Maurice Ewing; MD012386; MD01-2386; MD012420; MD01-2420; MD01-2461; MD02-2461; MD022489; MD02-2489; MD03-2697; MD03-2707; MD04-2829CQ; MD04-2845; MD052896; MD05-2896; MD052904; MD05-2904; MD07-3076; MD07-3076Q; MD07-3088; MD08-3169; MD09-3256; MD09-3256Q; MD09-3257; MD101; MD106; MD111; MD114; MD122; MD123; MD12-3396Cq; MD13; MD134; MD141; MD147; MD159; MD173; MD189; MD77-176; MD952002; MD95-2002; MD952007; MD95-2007; MD972106; MD97-2106; MD972121; MD97-2121; MD972138; MD97-2138; MD982165; MD98-2165; MD982181; MD98-2181; MD99-2331; MD99-2334; ME0005-24JC; Melville; Meriadzec; Meteor (1986); ML1208-01PC; MR01-K03; MR06-04_PC04A; MUC; MULT; MultiCorer; Multiple investigations; Mururoa; MV1007; MV1007-DO3; MV99-GC31; MV99-GC38; MV99-MC17/GC32/PC10; MV99-MC19; MV99-PC08; NA064-117-1; NA064-118-1; NA87-22; Nathaniel B. Palmer; NBP0805; NBP0805-DR23; NBP0805-DR27; NBP0805-DR34; NBP0805-DR35; NBP0805-DR36; NBP0805-DR38; NBP0805-DR40; NBP0805-TB04; NBP1103; NBP1103-DH07; NBP1103-DH112; NBP1103-DH113; NBP1103-DH115; NBP1103-DH117; NBP1103-DH120; NBP1103-DH134; NBP1103-DH14; NBP1103-DH140; NBP1103-DH143; NBP1103-DH15; NBP1103-DH22; NBP1103-DH43; NBP1103-DH74; NBP1103-DH95; Nesmeyanov25-1-GGC15; Nesmeyanov25-1-GGC18; Nesmeyanov25-1-GGC20; Nesmeyanov25-1-GGC27; New England Mountains; New Jersey Shallow Shelf; North Atlantic; North Atlantic/FLANK; Northeast Atlantic; North East Atlantic; North Pacific/Gulf of California/BASIN; North Pacific Ocean; Northwest Atlantic; Norwegian Sea; OCE326-GGC14; OCE326-GGC26; OCE326-GGC5; off Chile; off Nova Scotia; OK-3; OK-8; OKB-36A; OKB-53B; OKB-B3; OSIRIS III; Pacific Ocean; PALEOCINAT; PALEOCINAT II; papua; PC; PC75-1; PC75-2; Philippine Sea; PICABIA; Piston corer; Piston corer (BGR type); Piston corer (Kiel type); PLDS-007G; PLDS-1; Pleiades; Polarstern; PS05; PS1243-2; PS2606-6; PS2644-5; PS30; PS30/144; PS31; PS31/160-5; PS69; PS69/907-2; PS69/912-3; PS69/912-4; PS75/059-2; PS75/100-4; PS75/104-1; PS75 BIPOMAC; PUCK; radiocarbon dates; RAPiD-10-1P; RBDASS05; RBDASS05_H11; RBDASS05_H15; RC11; RC1112; RC11-238; RC24; RC24-8GC; RC27; RC27-14; RC27-23; Record number; Reference/source; Remote operated vehicle; Remote operated vehicle Jason II; Reservoir age; Reservoir age, standard error; RETRO-2; RGF_Barbados; RGF-12; RGF-15; RGF-16; RGF-9; RNDB-GGC15; RNDB-GGC5; RNDB-PC11; RNDB-PC13; Robert Conrad; ROV; ROVJ; RR0503-06JPC; RR0503-36JPC; RR0503-64JPC; RR0503-79JPC; RR0503-831C; RR0503-83GC; S67-FFC15; S794; S931; S938; Sakhalin shelf and slope; Sars_Seamount; SC4_ST2_SW2_SX1; Scotia Sea; Sea of Okhotsk; SEDCO; Sedimentation rate; Sediment corer; Shackleton_Fracture_Zone; SHAK03-6K; SHAK05-3K; SHAK06-4K; SHAK10-10K; SHAK14-4G; Shirshov Ridge; Sindhu Sadhana; Site; Site_1471; Site_2088; Site_21210009; Site_2307; Site_2631; Site_2657; Site_2706; Site_2774; Site_47396; Site_654; Site_660; Site_936; SK129-CR2; SL; Smithsonian_48735.1; SO156/2; SO156/3; SO161/5; SO161/5_22SL; SO178; SO178-13-6; SO201/2; SO201-2-101; SO201-2-12KL; SO201-2-77; SO201-2-85; SO202/1; SO202/1_18-6; SO213/2; SO213/2_76-2; SO213/2_79-2; SO213/2_82-1; SO213/2_84-1; Sonne; SOPATRA; South Atlantic; South Atlantic Ocean; South China Sea; Southern Alaska Margin: Tectonics, Climate and Sedimentation; South of Iceland; South Pacific Ocean; South Tasman Rise; Southwest Pacific; Southwest Pacific Ocean; SPOC; SS152; SS172; SSD-044; SSD044_GC-01; Station 6, MD189-3396; St Kildas Basin; SU90-08; SU92; SU92-03; Submersible Alvin; TAH-01A-3A; TAH-02A-4F; TAH-02A-4G; TAH-02A-4H; TAH-02A-5D; TAH-02A-5F; TAH-02A-5G; TAH-02A-5H; TAH-03A-1; TAH-03A-1A; TAH-03A-1E; Tahiti, offshore Faaa; Tahiti, offshore Maraa; Tahiti, offshore Tiarei; Tahiti Sea Level; Ta-P6; Ta-P7; Ta-P8; Tasman Sea; Thomas G. Thompson; Thomas G. Thompson (1964); Thomas Washington; TN228; TN228_J2_382; TN228_J2_383; TN228_J2_387; TN228_J2_389; TN228_J2_393; TN228_J2_395; TNO57-21; TR163-22; TR163-23; TR163-31; TROPICS; TT154-10; TTN013-18; TTXXX; U938; U939; urlepa; V19; V19-27; V21; V21-40; V28; V28-122; V28-238; V34; V34-98; V35; V35-5; V35-6; VAY1; VEM1_8; Vema; ventilation; Vigo; VINO19-4-GGC17; VINO19-4GGC-37; VINO19-4-GGC37; VM21-30; VNTR01; VNTR01-10GC; Vuolep Allakasjaure; W8709A; W8709A-13; Wecoma
    Type: Dataset
    Format: text/tab-separated-values, 63496 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 27
    facet.materialart.
    Unknown
    Global marine radiocarbon data compilation for the last deglaciation, zonal averages for each major ocean basin and each deglacial time-slice (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: Compiled marine radiocarbon data from the global ocean, derived from planktonic/benthic foraminifera and corals, spanning the last deglaciation, with associated calendar ages that are independently derived and/or are consistent with the Marine20 radiocarbon calibration curve. The data have been screened and include data flags pertaining to anomalous values (e.g. negative offsets relative to the contemporary atmosphere), low sedimentation rates 〈2 cm/kyr, and/or deviations from dominant regional-temporal trends. The data are further grouped by ocean basin, and according to their associated calendar ages as belonging to a succession of time slices across the last deglaciation: the Last Glacial Maximum (LGM), Heinrich Stadial 1 (HS1), the Bolling-Allerod (BA), the Younger Dryas, the Early Holocene (7-11ka BP), and the late Holocene (〈6 ka BP).
    Keywords: 0050PG; 0066PG; 145-887; 146-893A; 167-1019; 17/1GCA; 1K-SUERC; 1P-OS-75; 1P-SUERC; 202-1240; 22SL; 310-M0015A; 310-M0016A; 310-M0018A; 310-M0020A; 310-M0021A; 310-M0023A; 310-M0023B; 310-M0024A; 310-M0025A; 310-M0025B; 310-M0026A; 313-M0027A; 313-M0029A; 341-U1419; 35MF20120125, OISO_21, INDIEN SUD 2; 47396B; 4P-OS-75; 4P-SUERC; 50-37KL; 5P-OS-79; 5P-SUERC; 64-480; 90b; 94-609; AII125-8-55; AII125-8-56; AK-AA-1; Akademik M.A. Lavrentyev; AK-BC-2; AK-F-1; AK-L-1; ALIENOR; also published as VM28-122; ALV; ALV-3884; ALV-3885; ALV-3887; ALV-3890; ALV-3891; ALV-3892; ALV-4162; ALVIN; ANT-XI/4; ANT-XXIII/9; ANT-XXVI/2; ARA04-43E; Argentine Basin; ARK-II/5; ARK-X/2; AT07-35; AT12-01; Atlantis (1997); B34-91; BC; Bering Sea; BO04-PC11; Box corer; Brazil Basin; Burdwood_Bank; CALYPSO; CALYPSO2; Calypso Corer; Calypso Corer II; Calypso square corer; Calypso Square Core System; CASQ; CASQS; CD159; CD159-10; CD38-17P; CDRILL; Cenderawasih Bay; CH84-14; Charles Darwin; CHAT 10K; CHAT-10K; CHAT-16K; CHAT-3K; CHAT-5K; CHR-4; CHR-5; CHR-6; CHR-7; COMPCORE; Composite Core; Conrad Rise; Coral; Core; CORE; Core drilling; Corner Rise; DAPC2; deglacial; Denmark Strait; DH117; DH43; DH74; DP Hunter; DR23; DR27; DR34; DR35; DR38; DR40; Drake Passage; Dredge; DRG; DRILL; Drill9A_Tasmaloum; Drilling/drill rig; Eastern Equatorial Pacific; Eastern slope of Kurile Basin; East Pacific; EBA1; EBA10; EBA11; EBA2; EBA3; EBA4; EBA5; EBA6; EBA7; EBA8; EBA9; EBB1; EBB2; EBB3; EBB4; EBB5; EBB6; EBB7; ENG-111; Equatorial East Pacific; Equatorial Indian Ocean; ESTASE1; ET97-7T; EW0408; EW0408-26JC; EW0408-87JC; Exp310; Exp313; Exp341; f0001carcs; F2-92-P3; F8-90-G21; FLAMINGO; Foraminifera; GC; GC_POI; GeoB1503-1; GeoB2104-3; GeoB7149-2; GeoB7162-6; GeoB7163-7; GeoB7167-6; GEOSCIENCES, MARMARCORE; GGC; GGC5; gh02-1030; Giant box corer; Giant gravity corer; Giant piston corer; GIK23243-2 PS05/431; GIK23415-9; GKG; Glomar Challenger; GPC; Gramberg Seamount; Gravity corer; Gravity corer (Kiel type); Gravity corer (POI); GS07-150-20/2A; Gulf of California; H209; H213; HU72-021-3; HU72-021-7; HU89038-8PC; IMAGES I; IMAGES III - IPHIS; IMAGES IV-IPHIS III; IMAGES V; IMAGES VII - WEPAMA; IMAGES XII - MARCO POLO; IMAGES XV - Pachiderme; Indian Ocean; INOPEX; Interim_Seamount; James Cook; Japan Trench; JC094; JC094_GRM; Jean Charcot; JFA17; JFA2; JFA20; JFA24; JF-FI-19PC; Joides Resolution; JPC; JT96-09; JT96-09PC; Jumbo Piston Core; KAL; KALMAR II; Kasten corer; Kayd; KL; KN_USA; KN11002; KN159-5; Knorr; KNR110-50; KNR110-66; KNR110-82a; KNR110-82GGC; KNR140; KNR140-01JPC; KNR140-02JPC; KNR140-12JPC; KNR140-2-12JPC; KNR140-2-22JPC; KNR140-22JPC; KNR140-2-30GGC; KNR140-2-51GGC; KNR140-26GGC; KNR140-30GGC; KNR140-37JPC; KNR140-39GGC; KNR140-43GGC; KNR140-50GGC; KNR140-51GGC; KNR140-56GGC; KNR140-66GGC; KNR159-5; KNR159-5-78GGC; KNR176-17GC; KNR176-2; KNR176-2-JPC30; KNR178; KNR178-2GGC; KNR178-32JPC; KNR195-5-CDH23; KNR195-5-CDH26; KNR195-5-CDH41; KNR195-5-GGC43; KNR197-10; KNR197-10CDH42; KNR197-10-CDH42; KNR197-10-CDH46; KNR197-10-GGC17; KNR197-10-GGC5; KNR198-CDH36; KNR198-GGC15; KNR198-GGC35; KNR31GPC5; KNR73-3PC; KNR73-4PC; KNR73-6PG; KOL; KOMEX; KOMEX II; KR02-15-PC06; Kronotsky Peninsula; KT89-18-P4; Lakshadweep Sea; Laurentian fan; Leg145; Leg146; Leg167; Leg202; Leg64; Leg94; Le Suroît; LMG06-05-9; LPAZ21P; LV27/GREGORY; LV27-2-4; LV29-114-3; LV29-2; M16/2; M17/2; M23/2; marine; Marion Dufresne (1972); Marion Dufresne (1995); MAT-1A; MAT-3A; Maurice Ewing; MD012386; MD01-2386; MD012420; MD01-2420; MD01-2461; MD02-2461; MD022489; MD02-2489; MD03-2697; MD03-2707; MD04-2829CQ; MD04-2845; MD052896; MD05-2896; MD052904; MD05-2904; MD07-3076; MD07-3076Q; MD07-3088; MD08-3169; MD09-3256; MD09-3256Q; MD09-3257; MD101; MD106; MD111; MD114; MD122; MD123; MD12-3396Cq; MD13; MD134; MD141; MD147; MD159; MD173; MD189; MD77-176; MD952002; MD95-2002; MD952007; MD95-2007; MD972106; MD97-2106; MD972121; MD97-2121; MD972138; MD97-2138; MD982165; MD98-2165; MD982181; MD98-2181; MD99-2331; MD99-2334; ME0005-24JC; Melville; Meriadzec; Meteor (1986); ML1208-01PC; MR01-K03; MR06-04_PC04A; MUC; MULT; MultiCorer; Multiple investigations; Mururoa; MV1007; MV1007-DO3; MV99-GC31; MV99-GC38; MV99-MC17/GC32/PC10; MV99-MC19; MV99-PC08; NA064-117-1; NA064-118-1; NA87-22; Nathaniel B. Palmer; NBP0805; NBP0805-DR23; NBP0805-DR27; NBP0805-DR34; NBP0805-DR35; NBP0805-DR36; NBP0805-DR38; NBP0805-DR40; NBP0805-TB04; NBP1103; NBP1103-DH07; NBP1103-DH112; NBP1103-DH113; NBP1103-DH115; NBP1103-DH117; NBP1103-DH120; NBP1103-DH134; NBP1103-DH14; NBP1103-DH140; NBP1103-DH143; NBP1103-DH15; NBP1103-DH22; NBP1103-DH43; NBP1103-DH74; NBP1103-DH95; Nesmeyanov25-1-GGC15; Nesmeyanov25-1-GGC18; Nesmeyanov25-1-GGC20; Nesmeyanov25-1-GGC27; New England Mountains; New Jersey Shallow Shelf; North Atlantic; North Atlantic/FLANK; Northeast Atlantic; North East Atlantic; North Pacific/Gulf of California/BASIN; North Pacific Ocean; Northwest Atlantic; Norwegian Sea; OCE326-GGC14; OCE326-GGC26; OCE326-GGC5; off Chile; off Nova Scotia; OK-3; OK-8; OKB-36A; OKB-53B; OKB-B3; OSIRIS III; Pacific Ocean; PALEOCINAT; PALEOCINAT II; papua; PC; PC75-1; PC75-2; Philippine Sea; PICABIA; Piston corer; Piston corer (BGR type); Piston corer (Kiel type); PLDS-007G; PLDS-1; Pleiades; Polarstern; PS05; PS1243-2; PS2606-6; PS2644-5; PS30; PS30/144; PS31; PS31/160-5; PS69; PS69/907-2; PS69/912-3; PS69/912-4; PS75/059-2; PS75/100-4; PS75/104-1; PS75 BIPOMAC; PUCK; radiocarbon dates; RAPiD-10-1P; RBDASS05; RBDASS05_H11; RBDASS05_H15; RC11; RC1112; RC11-238; RC24; RC24-8GC; RC27; RC27-14; RC27-23; Remote operated vehicle; Remote operated vehicle Jason II; RETRO-2; RGF_Barbados; RGF-12; RGF-15; RGF-16; RGF-9; RNDB-GGC15; RNDB-GGC5; RNDB-PC11; RNDB-PC13; Robert Conrad; ROV; ROVJ; RR0503-06JPC; RR0503-36JPC; RR0503-64JPC; RR0503-79JPC; RR0503-831C; RR0503-83GC; S67-FFC15; S794; S931; S938; Sakhalin shelf and slope; Sars_Seamount; SC4_ST2_SW2_SX1; Scotia Sea; Sea of Okhotsk; SEDCO; Sediment corer; Shackleton_Fracture_Zone; SHAK03-6K; SHAK05-3K; SHAK06-4K; SHAK10-10K; SHAK14-4G; Shirshov Ridge; Sindhu Sadhana; Site_1471; Site_2088; Site_21210009; Site_2307; Site_2631; Site_2657; Site_2706; Site_2774; Site_47396; Site_654; Site_660; Site_936; SK129-CR2; SL; Smithsonian_48735.1; SO156/2; SO156/3; SO161/5; SO161/5_22SL; SO178; SO178-13-6; SO201/2; SO201-2-101; SO201-2-12KL; SO201-2-77; SO201-2-85; SO202/1; SO202/1_18-6; SO213/2; SO213/2_76-2; SO213/2_79-2; SO213/2_82-1; SO213/2_84-1; Sonne; SOPATRA; South Atlantic; South Atlantic Ocean; South China Sea; Southern Alaska Margin: Tectonics, Climate and Sedimentation; South of Iceland; South Pacific Ocean; South Tasman Rise; Southwest Pacific; Southwest Pacific Ocean; SPOC; SS152; SS172; SSD-044; SSD044_GC-01; Station 6, MD189-3396; St Kildas Basin; SU90-08; SU92; SU92-03; Submersible Alvin; TAH-01A-3A; TAH-02A-4F; TAH-02A-4G; TAH-02A-4H; TAH-02A-5D; TAH-02A-5F; TAH-02A-5G; TAH-02A-5H; TAH-03A-1; TAH-03A-1A; TAH-03A-1E; Tahiti, offshore Faaa; Tahiti, offshore Maraa; Tahiti, offshore Tiarei; Tahiti Sea Level; Ta-P6; Ta-P7; Ta-P8; Tasman Sea; Thomas G. Thompson; Thomas G. Thompson (1964); Thomas Washington; TN228; TN228_J2_382; TN228_J2_383; TN228_J2_387; TN228_J2_389; TN228_J2_393; TN228_J2_395; TNO57-21; TR163-22; TR163-23; TR163-31; TROPICS; TT154-10; TTN013-18; TTXXX; U938; U939; urlepa; V19; V19-27; V21; V21-40; V28; V28-122; V28-238; V34; V34-98; V35; V35-5; V35-6; VAY1; VEM1_8; Vema; ventilation; Vigo; VINO19-4-GGC17; VINO19-4GGC-37; VINO19-4-GGC37; VM21-30; VNTR01; VNTR01-10GC; Vuolep Allakasjaure; W8709A; W8709A-13; Wecoma
    Type: Dataset
    Format: application/x-hdf, 493.1 kBytes
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 28
    facet.materialart.
    Unknown
    Porosity in coral reef sediments at CO2 vents off Papua-New Guinea (2013, 2014) (2016)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Keywords: BIOACID; BIOACID 2 PNG2013; BIOACID 2 PNG2014; Biological Impacts of Ocean Acidification; Core; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; DIVER; Elevation of event; Event label; Latitude of event; Longitude of event; M.V. Chertan; Period; PNG2013_Halophila; PNG2013_NexttoHalophila; PNG2013_Redpatch; PNG2013_Reference; PNG2013_Site3.1; PNG2013_Site3.2; PNG2013_Site4; PNG2013_Site56; PNG2014_Redpatch; PNG2014_Reference; PNG2014_Site3.1; PNG2014_Site3.2; PNG2014_Site4; Porosity, volume; Sampling by diver; Site; Weight loss after drying
    Type: Dataset
    Format: text/tab-separated-values, 815 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 29
    facet.materialart.
    Unknown
    Glacier mass balance Hallstätter Gletscher, Dachstein, Austria, 2013/2014 (2015)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Keywords: Ablation area; Accumulation area; Accumulation area ratio; DATE/TIME; Date/time end; Equilibrium line altitude; Glaciers Austria; Hallstätter Gletscher, Dachstein, Austria; HSG; Mass balance, total; Mass balance in ablation area; Mass balance in accumulation area; Specific mass balance; Specific mass balance, summer; Specific mass balance, winter; Specific mass balance in the ablation area; Specific mass balance in the accumulation area; Total area
    Type: Dataset
    Format: text/tab-separated-values, 14 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 30
    facet.materialart.
    Unknown
    Glacier mass balance Hallstätter Gletscher, Dachstein, Austria, 2014/2015 (2016)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Keywords: Ablation area; Accumulation area; Accumulation area ratio; DATE/TIME; Glaciers Austria; Hallstätter Gletscher, Dachstein, Austria; HSG; Mass balance, total; Mass balance in ablation area; Mass balance in accumulation area; Specific mass balance; Specific mass balance, summer; Specific mass balance, winter; Specific mass balance in the ablation area; Specific mass balance in the accumulation area; Total area
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 31
    facet.materialart.
    Unknown
    Microbial abundances in coral reef sediments at CO2 vents off Papua-New Guinea (2013) (2016)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Keywords: BIOACID; BIOACID 2 PNG2013; Biological Impacts of Ocean Acidification; Core; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; DIVER; Elevation of event; Event label; Latitude of event; Longitude of event; M.V. Chertan; Microbial abundance, cells; Period; PNG2013_Halophila; PNG2013_NexttoHalophila; PNG2013_Redpatch; PNG2013_Reference; PNG2013_Site3.1; PNG2013_Site3.2; PNG2013_Site4; Sampling by diver; Site
    Type: Dataset
    Format: text/tab-separated-values, 156 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 32
    facet.materialart.
    Unknown
    Geochemistry (Sr/Ca, δ¹⁸O, d18Osw) of Porites coral DL from the Cocos Keeling Islands (Australia) (2018)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Keywords: Age; AGE; Cocos/Keeling Island complex; Cocos-Keeling_DL; HAND; Porites sp., Strontium/Calcium ratio; Porites sp., δ18O; Sample ID; Sampling by hand; δ18O, reconstructed
    Type: Dataset
    Format: text/tab-separated-values, 6092 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 33
    facet.materialart.
    Unknown
    Elevation zones Hallstätter Gletscher, Dachstein, Austria, 2014/2015 (2016)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Keywords: DATE/TIME; Elevation, maximum; Elevation, minimum; Glaciers Austria; Hallstätter Gletscher, Dachstein, Austria; HSG; Mass balance, total of the altitude zone; Specific mass balance of the altitude zone; Specific mass balance of the altitude zone, summer; Specific mass balance of the altitude zone, winter; Total area of the altitude zone
    Type: Dataset
    Format: text/tab-separated-values, 98 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 34
    facet.materialart.
    Unknown
    Geochemistry (Sr/Ca, δ¹⁸O, d18Osw) of Porites coral D3 from the Cocos Keeling Islands (Australia) (2018)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Keywords: Age; AGE; Cocos/Keeling Island complex; Cocos-Keeling_D3; HAND; Porites sp., Strontium/Calcium ratio; Porites sp., δ18O; Sample ID; Sampling by hand; δ18O, reconstructed
    Type: Dataset
    Format: text/tab-separated-values, 1294 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 35
    facet.materialart.
    Unknown
    Stable carbon isotope record of Islandiella norcrossi of sediment composite core MD99-2273_BO5-2006-MC03B (2019)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Keywords: AGE; Benthic and planktonic foraminifera; COMPCORE; Composite Core; DEPTH, sediment/rock; Islandiella norcrossi, δ13C; Last millennium; Mass spectrometer Finnigan MAT 251; MD99-2273_BO5-2006-MC03B; N. Iceland shelf, Eyjafjardarall; North Icelandic shelf; Stable isotopes
    Type: Dataset
    Format: text/tab-separated-values, 416 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 36
    facet.materialart.
    Unknown
    Glacier mass balance Hallstätter Gletscher, Dachstein, Austria, 2019/20 (2021)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: The annual glacier mass balance of Hallstätter Gletscher in Austria is measured since 1.10.2006 with the direct glaciological method in the fixed date system (1.10. to 30. 09. of the following year). The accumulation of snow is measured by determination of the water equivalent in 6 snow pits, the ice ablation is measured with 15 stakes drilled into the ice. Results are the annual net mass balance in kg, the total accumulation and ablation, the glacier area and the portions of the area which are subject to ablation and accumulation, the elevation of the equilibrium line and the specific mass balance in kg/m² (= mm w.e.). The accumulation during the winter is determined by the 1 May. The project is funded by the Federal Government of Upper Austria. The measurements are carried out the Institute for Interdisciplinary Mountain Research of the Austrian Academy of Sciences and the company Blue Sky in Gmunden, Austria.
    Keywords: Ablation area; Accumulation area; Accumulation area ratio; DATE/TIME; Equilibrium line altitude; Glaciers Austria; Hallstätter Gletscher, Dachstein, Austria; HSG; Mass balance, total; Mass balance in ablation area; Mass balance in accumulation area; Specific mass balance; Specific mass balance, summer; Specific mass balance, winter; Specific mass balance in the ablation area; Specific mass balance in the accumulation area; Total area
    Type: Dataset
    Format: text/tab-separated-values, 13 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 37
    facet.materialart.
    Unknown
    Elevation zones Hallstätter Gletscher, Dachstein, Austria, 2020/2021 (2022)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: The annual glacier mass balance of Hallstätter Gletscher in Austria is measured since 1.10.2006 with the direct glaciological method in the fixed date system (1.10. to 30. 09. of the following year). The accumulation of snow is measured by determination of the water equivalent in 6 snow pits, the ice ablation is measured with 15 stakes drilled into the ice. Results are the annual net mass balance in kg, the total accumulation and ablation, the glacier area and the portions of the area which are subject to ablation and accumulation, the elevation of the equilibrium line and the specific mass balance in kg/m² (= mm w.e.). The accumulation during the winter is determined by the 1 May. The project is funded by the Federal Government of Upper Austria. The measurements are carried out the Institute for Interdisciplinary Mountain Research of the Austrian Academy of Sciences and the company Blue Sky in Gmunden, Austria.
    Keywords: DATE/TIME; Elevation, maximum; Elevation, minimum; Glaciers Austria; Hallstätter Gletscher, Dachstein, Austria; HSG; Mass balance, total of the altitude zone; Specific mass balance of the altitude zone; Specific mass balance of the altitude zone, summer; Specific mass balance of the altitude zone, winter; Total area of the altitude zone
    Type: Dataset
    Format: text/tab-separated-values, 98 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 38
    facet.materialart.
    Unknown
    Laser dust logging of the EPICA Dome C borehole (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: We deployed a laser dust logger in the EPICA Dome C Ice Core (EDC) borehole in order to obtain a detailed record of dust and ash in order to study the particulate stratigraphy, volcanology, glaciology and climatology at the site. The Dust Logger device is described in detail elsewhere, most recently here: Journal of Glaciology, Volume 59, Issue 218 (2013) pp. 1117 - 1128, DOI: https://doi.org/10.3189/2013JoG13J068. Because the borehole fluid was turbid at the time of the log, the resolution of the instrument was much lower (〉10 cm) than the nominal 2-3 mm thickness of the laser line. The instrument is lowered into the borehole and retrieved using a surface logging winch over the course of several hours. Data are acquired at the surface in real time using telemetry with the logger over the deployment cable. A small correction has been applied to compensate for the temperature dependence of the laser brightness.
    Keywords: Backscatter intensity signal; borehole logging; DEPTH, ice/snow; Dome C; Dome C, Antarctica; Downhole logging; Dust logger; EDC; EPICA; EPICA Dome C; European Project for Ice Coring in Antarctica; Ice core; ICEDRILL; Ice drill
    Type: Dataset
    Format: text/tab-separated-values, 817079 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 39
    facet.materialart.
    Unknown
    Elevation zones Hallstätter Gletscher, Dachstein, Austria, 2015/2016 (2018)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Keywords: DATE/TIME; Elevation, maximum; Elevation, minimum; Glaciers Austria; Hallstätter Gletscher, Dachstein, Austria; HSG; Mass balance, total of the altitude zone; Specific mass balance of the altitude zone; Specific mass balance of the altitude zone, summer; Specific mass balance of the altitude zone, winter; Total area of the altitude zone
    Type: Dataset
    Format: text/tab-separated-values, 98 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 40
    facet.materialart.
    Unknown
    Stable oxygen isotope record of Islandiella norcrossi of sediment composite core MD99-2275_B05-2006-MC04B (2019)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Keywords: AGE; Benthic and planktonic foraminifera; COMPCORE; Composite Core; DEPTH, sediment/rock; Islandiella norcrossi, δ18O; Last millennium; Mass spectrometer Finnigan MAT 251; MD99-2275_B05-2006-MC04B; North Icelandic shelf; Skjalfandadjup; Stable isotopes
    Type: Dataset
    Format: text/tab-separated-values, 364 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 41
    facet.materialart.
    Unknown
    Radiocarbon dates and tephra markers for upper part of of sediment core MD99-2273 (2019)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Keywords: Age, 14C AMS; Age, 14C calibrated; Age, dated; Age, dated material; Age, dated standard deviation; Age, difference; Age, standard deviation; Age model; Benthic and planktonic foraminifera; BO5-2006-MC03B; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; CALYPSO; Calypso Corer; DEPTH, sediment/rock; Event label; F; IMAGES V; Laboratory code/label; Last millennium; Marion Dufresne (1995); MD114; MD99-2273; MUC; MultiCorer; N. Iceland shelf, Eyjafjardarall; North Icelandic shelf; Stable isotopes
    Type: Dataset
    Format: text/tab-separated-values, 168 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 42
    facet.materialart.
    Unknown
    Stable carbon isotope record of Islandiella norcrossi of sediment composite core MD99-2275_B05-2006-MC04B (2019)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Keywords: AGE; Benthic and planktonic foraminifera; COMPCORE; Composite Core; DEPTH, sediment/rock; Islandiella norcrossi, δ13C; Last millennium; Mass spectrometer Finnigan MAT 251; MD99-2275_B05-2006-MC04B; North Icelandic shelf; Skjalfandadjup; Stable isotopes
    Type: Dataset
    Format: text/tab-separated-values, 372 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 43
    facet.materialart.
    Unknown
    Interpolated data of opal, organic carbon, calcium carbonate, opal/TOC and CaCO3/TOC of core MV99 GC41/PC14 (2018)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Keywords: after Marchitto et al., 2010; Calcium carbonate; Calcium carbonate/organic carbon ratio; Calculated, see reference(s); Calendar age; Carbon, organic, total; Elemental analyser; GC; Gravity corer; MV99_GC41_PC14; North Pacific; Opal, biogenic silica; Redfield molar ratio; Sample ID; Silicon/Carbon, molar ratio
    Type: Dataset
    Format: text/tab-separated-values, 886 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 44
    facet.materialart.
    Unknown
    Glacier mass balance Hallstätter Gletscher, Dachstein, Austria, 2016/2017 (2018)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Keywords: Ablation area; Accumulation area; Accumulation area ratio; DATE/TIME; Equilibrium line altitude; Glaciers Austria; Hallstätter Gletscher, Dachstein, Austria; HSG; Mass balance, total; Mass balance in ablation area; Mass balance in accumulation area; Specific mass balance; Specific mass balance, summer; Specific mass balance, winter; Specific mass balance in the ablation area; Specific mass balance in the accumulation area; Total area
    Type: Dataset
    Format: text/tab-separated-values, 13 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 45
    facet.materialart.
    Unknown
    Opal, organic carbon, calcium carbonate, fractions of clay, silt and fine dust particles of core MV99 GC41/PC14 (2018)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Keywords: after Marchitto et al., 2010; Calcium carbonate; Calendar age; Carbon, inorganic, total; Carbon, organic, total; Carbon, total; DEPTH, sediment/rock; Elemental analyser; GC; Gravity corer; Laser particle size analyzer; MV99_GC41_PC14; North Pacific; Opal, biogenic silica; Sample ID; Size fraction 〈 0.004 mm, clay; Size fraction 〈 0.007 mm; Size fraction 0.063-0.004 mm, silt; Spectrophotometry
    Type: Dataset
    Format: text/tab-separated-values, 1000 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 46
    facet.materialart.
    Unknown
    Stable oxygen isotope record of Islandiella norcrossi of sediment composite core MD99-2273_BO5-2006-MC03B (2019)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Keywords: AGE; Benthic and planktonic foraminifera; COMPCORE; Composite Core; DEPTH, sediment/rock; Islandiella norcrossi, δ18O; Last millennium; Mass spectrometer Finnigan MAT 251; MD99-2273_BO5-2006-MC03B; N. Iceland shelf, Eyjafjardarall; North Icelandic shelf; Stable isotopes
    Type: Dataset
    Format: text/tab-separated-values, 214 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 47
    facet.materialart.
    Unknown
    Stable carbon isotope record of Neogloboquadrina pachyderma sinistral of sediment composite core MD99-2275_B05-2006-MC04B (2019)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Keywords: AGE; Benthic and planktonic foraminifera; COMPCORE; Composite Core; DEPTH, sediment/rock; Last millennium; Mass spectrometer Finnigan MAT 251; MD99-2275_B05-2006-MC04B; Neogloboquadrina pachyderma sinistral, δ13C; North Icelandic shelf; Skjalfandadjup; Stable isotopes
    Type: Dataset
    Format: text/tab-separated-values, 322 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 48
    facet.materialart.
    Unknown
    Abundances of Cassidulina neoteretis in sediment composite core MD99-2275_B05-2006-MC04B (2019)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Keywords: AGE; Benthic and planktonic foraminifera; Cassidulina neoteretis; COMPCORE; Composite Core; Counting 125-1000 µm fraction; Last millennium; MD99-2275_B05-2006-MC04B; North Icelandic shelf; Skjalfandadjup; Stable isotopes
    Type: Dataset
    Format: text/tab-separated-values, 389 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 49
    facet.materialart.
    Unknown
    Elevation zones Hallstätter Gletscher, Dachstein, Austria, 2019/2020 (2021)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: The annual glacier mass balance of Hallstätter Gletscher in Austria is measured since 1.10.2006 with the direct glaciological method in the fixed date system (1.10. to 30. 09. of the following year). The accumulation of snow is measured by determination of the water equivalent in 6 snow pits, the ice ablation is measured with 15 stakes drilled into the ice. Results are the annual net mass balance in kg, the total accumulation and ablation, the glacier area and the portions of the area which are subject to ablation and accumulation, the elevation of the equilibrium line and the specific mass balance in kg/m² (= mm w.e.). The accumulation during the winter is determined by the 1 May. The project is funded by the Federal Government of Upper Austria. The measurements are carried out the Institute for Interdisciplinary Mountain Research of the Austrian Academy of Sciences and the company Blue Sky in Gmunden, Austria.
    Keywords: DATE/TIME; Elevation, maximum; Elevation, minimum; Glaciers Austria; Hallstätter Gletscher, Dachstein, Austria; HSG; Mass balance, total of the altitude zone; Specific mass balance of the altitude zone; Specific mass balance of the altitude zone, summer; Specific mass balance of the altitude zone, winter; Total area of the altitude zone
    Type: Dataset
    Format: text/tab-separated-values, 98 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 50
    facet.materialart.
    Unknown
    Measured values of Li/Mg, Mg/Ca, Sr/Ca, Ba/Ca, U/Ca and Sr-U for coral and coralline algae paleothermometer calibrations (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: A comprehensive georeferenced database of measured values of Li/Mg, Mg/Ca, Sr/Ca, Ba/Ca, U/Ca and Sr-U in coral and coralline algae compiled from the scientific literature (1950-2021; http://www.webofknowledge.com, accessed 2022-09-30).
    Keywords: aragonite; Ba/Ca; Barium/Calcium ratio; Comment; coralline algae; Corals; Coral Sr‐U thermometry according to DeCarlo et al. (2016); Data source; DEPTH, water; Depth zone; Ecoprovince; Ecoprovince, code; Ecoregion; Ecoregion, code; high-Mg calcitic corals; Identification; LATITUDE; Li/Mg; Lithium/Magnesium ratio; LONGITUDE; Magnesium/Calcium ratio; Manganese/Calcium ratio; Method comment; Mg/Ca; Minerals; octocorals; paleotemperature proxy; pH; Phosphorus/Calcium ratio; Publication of data; Reference/source; Salinity; Sample ID; seawater barium; see Method comment; Sr/Ca; Sr-U; Strontium/Calcium ratio; Strontium-Uranium; Sulfur/Calcium ratio; Taxon/taxa; Taxon/taxa, unique identification; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); Temperature, water; U/Ca; Uranium/Calcium ratio; Years
    Type: Dataset
    Format: text/tab-separated-values, 49576 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 51
    facet.materialart.
    Unknown
    Glacier mass balance Hallstätter Gletscher 2018/19, Dachstein, Austria (2020)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: The annual glacier mass balance of Hallstätter Gletscher in Austria is measured since 1.10.2006 with the direct glaciological method in the fixed date system (1.10. to 30. 09. of the following year). The accumulation of snow is measured by determination of the water equivalent in 6 snow pits, the ice ablation is measured with 15 stakes drilled into the ice. Results are the annual net mass balance in kg, the total accumulation and ablation, the glacier area and the portions of the area which are subject to ablation and accumulation, the elevation of the equilibrium line and the specific mass balance in kg/m² (= mm w.e.). The accumulation during the winter is determined by the 1 May. The project is funded by the Federal Government of Upper Austria. The measurements are carried out the Institute for Interdisciplinary Mountain Research of the Austrian Academy of Sciences and the company Blue Sky in Gmunden, Austria.
    Keywords: Ablation area; Accumulation area; Accumulation area ratio; DATE/TIME; Equilibrium line altitude; Glaciers Austria; Hallstätter Gletscher, Dachstein, Austria; HSG; Mass balance, total; Mass balance in ablation area; Mass balance in accumulation area; Specific mass balance; Specific mass balance, summer; Specific mass balance, winter; Specific mass balance in the ablation area; Specific mass balance in the accumulation area; Total area
    Type: Dataset
    Format: text/tab-separated-values, 13 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 52
    facet.materialart.
    Unknown
    Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2023-11-28 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 1754 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 53
    facet.materialart.
    Unknown
    Global marine radiocarbon data compilation for the last deglaciation, spline dataset (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: Compiled marine radiocarbon data from the global ocean, derived from planktonic/benthic foraminifera and corals, spanning the last deglaciation, with associated calendar ages that are independently derived and/or are consistent with the Marine20 radiocarbon calibration curve. The data have been screened and include data flags pertaining to anomalous values (e.g. negative offsets relative to the contemporary atmosphere), low sedimentation rates 〈2 cm/kyr, and/or deviations from dominant regional-temporal trends. The data are further grouped by ocean basin, and according to their associated calendar ages as belonging to a succession of time slices across the last deglaciation: the Last Glacial Maximum (LGM), Heinrich Stadial 1 (HS1), the Bolling-Allerod (BA), the Younger Dryas, the Early Holocene (7-11ka BP), and the late Holocene (〈6 ka BP).
    Keywords: 0050PG; 0066PG; 145-887; 146-893A; 167-1019; 17/1GCA; 1K-SUERC; 1P-OS-75; 1P-SUERC; 202-1240; 22SL; 310-M0015A; 310-M0016A; 310-M0018A; 310-M0020A; 310-M0021A; 310-M0023A; 310-M0023B; 310-M0024A; 310-M0025A; 310-M0025B; 310-M0026A; 313-M0027A; 313-M0029A; 341-U1419; 35MF20120125, OISO_21, INDIEN SUD 2; 47396B; 4P-OS-75; 4P-SUERC; 50-37KL; 5P-OS-79; 5P-SUERC; 64-480; 90b; 94-609; AII125-8-55; AII125-8-56; AK-AA-1; Akademik M.A. Lavrentyev; AK-BC-2; AK-F-1; AK-L-1; ALIENOR; also published as VM28-122; ALV; ALV-3884; ALV-3885; ALV-3887; ALV-3890; ALV-3891; ALV-3892; ALV-4162; ALVIN; ANT-XI/4; ANT-XXIII/9; ANT-XXVI/2; ARA04-43E; Argentine Basin; ARK-II/5; ARK-X/2; AT07-35; AT12-01; Atlantis (1997); B34-91; BC; Bering Sea; BO04-PC11; Box corer; Brazil Basin; Burdwood_Bank; CALYPSO; CALYPSO2; Calypso Corer; Calypso Corer II; Calypso square corer; Calypso Square Core System; CASQ; CASQS; CD159; CD159-10; CD38-17P; CDRILL; Cenderawasih Bay; CH84-14; Charles Darwin; CHAT 10K; CHAT-10K; CHAT-16K; CHAT-3K; CHAT-5K; CHR-4; CHR-5; CHR-6; CHR-7; COMPCORE; Composite Core; Conrad Rise; Coral; Core; CORE; Core drilling; Corner Rise; DAPC2; deglacial; Denmark Strait; DH117; DH43; DH74; DP Hunter; DR23; DR27; DR34; DR35; DR38; DR40; Drake Passage; Dredge; DRG; DRILL; Drill9A_Tasmaloum; Drilling/drill rig; Eastern Equatorial Pacific; Eastern slope of Kurile Basin; East Pacific; EBA1; EBA10; EBA11; EBA2; EBA3; EBA4; EBA5; EBA6; EBA7; EBA8; EBA9; EBB1; EBB2; EBB3; EBB4; EBB5; EBB6; EBB7; ENG-111; Equatorial East Pacific; Equatorial Indian Ocean; ESTASE1; ET97-7T; EW0408; EW0408-26JC; EW0408-87JC; Exp310; Exp313; Exp341; f0001carcs; F2-92-P3; F8-90-G21; FLAMINGO; Foraminifera; GC; GC_POI; GeoB1503-1; GeoB2104-3; GeoB7149-2; GeoB7162-6; GeoB7163-7; GeoB7167-6; GEOSCIENCES, MARMARCORE; GGC; GGC5; gh02-1030; Giant box corer; Giant gravity corer; Giant piston corer; GIK23243-2 PS05/431; GIK23415-9; GKG; Glomar Challenger; GPC; Gramberg Seamount; Gravity corer; Gravity corer (Kiel type); Gravity corer (POI); GS07-150-20/2A; Gulf of California; H209; H213; HU72-021-3; HU72-021-7; HU89038-8PC; IMAGES I; IMAGES III - IPHIS; IMAGES IV-IPHIS III; IMAGES V; IMAGES VII - WEPAMA; IMAGES XII - MARCO POLO; IMAGES XV - Pachiderme; Indian Ocean; INOPEX; Interim_Seamount; James Cook; Japan Trench; JC094; JC094_GRM; Jean Charcot; JFA17; JFA2; JFA20; JFA24; JF-FI-19PC; Joides Resolution; JPC; JT96-09; JT96-09PC; Jumbo Piston Core; KAL; KALMAR II; Kasten corer; Kayd; KL; KN_USA; KN11002; KN159-5; Knorr; KNR110-50; KNR110-66; KNR110-82a; KNR110-82GGC; KNR140; KNR140-01JPC; KNR140-02JPC; KNR140-12JPC; KNR140-2-12JPC; KNR140-2-22JPC; KNR140-22JPC; KNR140-2-30GGC; KNR140-2-51GGC; KNR140-26GGC; KNR140-30GGC; KNR140-37JPC; KNR140-39GGC; KNR140-43GGC; KNR140-50GGC; KNR140-51GGC; KNR140-56GGC; KNR140-66GGC; KNR159-5; KNR159-5-78GGC; KNR176-17GC; KNR176-2; KNR176-2-JPC30; KNR178; KNR178-2GGC; KNR178-32JPC; KNR195-5-CDH23; KNR195-5-CDH26; KNR195-5-CDH41; KNR195-5-GGC43; KNR197-10; KNR197-10CDH42; KNR197-10-CDH42; KNR197-10-CDH46; KNR197-10-GGC17; KNR197-10-GGC5; KNR198-CDH36; KNR198-GGC15; KNR198-GGC35; KNR31GPC5; KNR73-3PC; KNR73-4PC; KNR73-6PG; KOL; KOMEX; KOMEX II; KR02-15-PC06; Kronotsky Peninsula; KT89-18-P4; Lakshadweep Sea; Laurentian fan; Leg145; Leg146; Leg167; Leg202; Leg64; Leg94; Le Suroît; LMG06-05-9; LPAZ21P; LV27/GREGORY; LV27-2-4; LV29-114-3; LV29-2; M16/2; M17/2; M23/2; marine; Marion Dufresne (1972); Marion Dufresne (1995); MAT-1A; MAT-3A; Maurice Ewing; MD012386; MD01-2386; MD012420; MD01-2420; MD01-2461; MD02-2461; MD022489; MD02-2489; MD03-2697; MD03-2707; MD04-2829CQ; MD04-2845; MD052896; MD05-2896; MD052904; MD05-2904; MD07-3076; MD07-3076Q; MD07-3088; MD08-3169; MD09-3256; MD09-3256Q; MD09-3257; MD101; MD106; MD111; MD114; MD122; MD123; MD12-3396Cq; MD13; MD134; MD141; MD147; MD159; MD173; MD189; MD77-176; MD952002; MD95-2002; MD952007; MD95-2007; MD972106; MD97-2106; MD972121; MD97-2121; MD972138; MD97-2138; MD982165; MD98-2165; MD982181; MD98-2181; MD99-2331; MD99-2334; ME0005-24JC; Melville; Meriadzec; Meteor (1986); ML1208-01PC; MR01-K03; MR06-04_PC04A; MUC; MULT; MultiCorer; Multiple investigations; Mururoa; MV1007; MV1007-DO3; MV99-GC31; MV99-GC38; MV99-MC17/GC32/PC10; MV99-MC19; MV99-PC08; NA064-117-1; NA064-118-1; NA87-22; Nathaniel B. Palmer; NBP0805; NBP0805-DR23; NBP0805-DR27; NBP0805-DR34; NBP0805-DR35; NBP0805-DR36; NBP0805-DR38; NBP0805-DR40; NBP0805-TB04; NBP1103; NBP1103-DH07; NBP1103-DH112; NBP1103-DH113; NBP1103-DH115; NBP1103-DH117; NBP1103-DH120; NBP1103-DH134; NBP1103-DH14; NBP1103-DH140; NBP1103-DH143; NBP1103-DH15; NBP1103-DH22; NBP1103-DH43; NBP1103-DH74; NBP1103-DH95; Nesmeyanov25-1-GGC15; Nesmeyanov25-1-GGC18; Nesmeyanov25-1-GGC20; Nesmeyanov25-1-GGC27; New England Mountains; New Jersey Shallow Shelf; North Atlantic; North Atlantic/FLANK; Northeast Atlantic; North East Atlantic; North Pacific/Gulf of California/BASIN; North Pacific Ocean; Northwest Atlantic; Norwegian Sea; OCE326-GGC14; OCE326-GGC26; OCE326-GGC5; off Chile; off Nova Scotia; OK-3; OK-8; OKB-36A; OKB-53B; OKB-B3; OSIRIS III; Pacific Ocean; PALEOCINAT; PALEOCINAT II; papua; PC; PC75-1; PC75-2; Philippine Sea; PICABIA; Piston corer; Piston corer (BGR type); Piston corer (Kiel type); PLDS-007G; PLDS-1; Pleiades; Polarstern; PS05; PS1243-2; PS2606-6; PS2644-5; PS30; PS30/144; PS31; PS31/160-5; PS69; PS69/907-2; PS69/912-3; PS69/912-4; PS75/059-2; PS75/100-4; PS75/104-1; PS75 BIPOMAC; PUCK; radiocarbon dates; RAPiD-10-1P; RBDASS05; RBDASS05_H11; RBDASS05_H15; RC11; RC1112; RC11-238; RC24; RC24-8GC; RC27; RC27-14; RC27-23; Remote operated vehicle; Remote operated vehicle Jason II; RETRO-2; RGF_Barbados; RGF-12; RGF-15; RGF-16; RGF-9; RNDB-GGC15; RNDB-GGC5; RNDB-PC11; RNDB-PC13; Robert Conrad; ROV; ROVJ; RR0503-06JPC; RR0503-36JPC; RR0503-64JPC; RR0503-79JPC; RR0503-831C; RR0503-83GC; S67-FFC15; S794; S931; S938; Sakhalin shelf and slope; Sars_Seamount; SC4_ST2_SW2_SX1; Scotia Sea; Sea of Okhotsk; SEDCO; Sediment corer; Shackleton_Fracture_Zone; SHAK03-6K; SHAK05-3K; SHAK06-4K; SHAK10-10K; SHAK14-4G; Shirshov Ridge; Sindhu Sadhana; Site_1471; Site_2088; Site_21210009; Site_2307; Site_2631; Site_2657; Site_2706; Site_2774; Site_47396; Site_654; Site_660; Site_936; SK129-CR2; SL; Smithsonian_48735.1; SO156/2; SO156/3; SO161/5; SO161/5_22SL; SO178; SO178-13-6; SO201/2; SO201-2-101; SO201-2-12KL; SO201-2-77; SO201-2-85; SO202/1; SO202/1_18-6; SO213/2; SO213/2_76-2; SO213/2_79-2; SO213/2_82-1; SO213/2_84-1; Sonne; SOPATRA; South Atlantic; South Atlantic Ocean; South China Sea; Southern Alaska Margin: Tectonics, Climate and Sedimentation; South of Iceland; South Pacific Ocean; South Tasman Rise; Southwest Pacific; Southwest Pacific Ocean; SPOC; SS152; SS172; SSD-044; SSD044_GC-01; Station 6, MD189-3396; St Kildas Basin; SU90-08; SU92; SU92-03; Submersible Alvin; TAH-01A-3A; TAH-02A-4F; TAH-02A-4G; TAH-02A-4H; TAH-02A-5D; TAH-02A-5F; TAH-02A-5G; TAH-02A-5H; TAH-03A-1; TAH-03A-1A; TAH-03A-1E; Tahiti, offshore Faaa; Tahiti, offshore Maraa; Tahiti, offshore Tiarei; Tahiti Sea Level; Ta-P6; Ta-P7; Ta-P8; Tasman Sea; Thomas G. Thompson; Thomas G. Thompson (1964); Thomas Washington; TN228; TN228_J2_382; TN228_J2_383; TN228_J2_387; TN228_J2_389; TN228_J2_393; TN228_J2_395; TNO57-21; TR163-22; TR163-23; TR163-31; TROPICS; TT154-10; TTN013-18; TTXXX; U938; U939; urlepa; V19; V19-27; V21; V21-40; V28; V28-122; V28-238; V34; V34-98; V35; V35-5; V35-6; VAY1; VEM1_8; Vema; ventilation; Vigo; VINO19-4-GGC17; VINO19-4GGC-37; VINO19-4-GGC37; VM21-30; VNTR01; VNTR01-10GC; Vuolep Allakasjaure; W8709A; W8709A-13; Wecoma
    Type: Dataset
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 238.8 kBytes
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 54
    facet.materialart.
    Unknown
    Marine fossil radiocarbon (14C) compilation up to 2021, version 2024 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: Using a new global compilation of deep-sea 14C/C, we estimated (in Rafter et al. 2022) the average D14C (units of per mil) and 14C ventilation age (units of years) over the last 25,000 years for the deep Pacific, Atlantic, and Southern Oceans. Particularly, we estimated these basin averages for mid-depth waters (between the 27.5 to 28.0 neutral density surfaces) and bottom waters (having a neutral density 〉28.0). These basin averages are calculated using LOESS smoothing, but see the original text for more details. Our reasons for uploading this new data are: (1) An earlier dataset here contained an error for the mid-depth Atlantic; (2) Earlier datasets did not include the trends as D14C values; and (3) Earlier datasets did not include the Raw data (the data before normalization). We have corrected this with the new submission. Please cite the Rafter et al. 2022 when using this dataset.
    Keywords: 0050PG; 0066PG; 145-883; 145-887; 146-893A; 167-1019A; 202-1240; 202-1242A; 341-U1419; 35MF20120125, OISO_21, INDIEN SUD 2; 47396B; 50-37KL; 64-480; 90b; AII125-8-55; AII125-8-56; Akademik M.A. Lavrentyev; ALV-3887-1549-004-007; ALV-3887-1549-004-009; ALV-3887-1549-004-012; ALV-3890-1407-003-001; ALV-3891-1459-003-002; ALV-3891-1758-006-003; AMOCINT, IMAGES XVII; ANT-XI/4; ANT-XXIII/9; ANT-XXVI/2; Argentine Basin; ARK-II/5; ARK-X/2; Azores; B34-91; BC; Bering Sea; Binary Object; BO04-PC11; Box corer; Brazil Basin; Burdwood_Bank; CALYPSO; CALYPSO2; Calypso Corer; Calypso Corer II; Calypso square corer; Calypso Square Core System; Canarias Sea; Cape_Horn; Caribbean Sea; CASQ; CASQS; CD159; CD159-10; CD159-15; CD159-17; CD38-17P; Celtic Sea; Cenderawasih Bay; Central Pacific; CH84-14; Charles Darwin; CHAT_10k; CHAT_16k; CHAT-3K; CHAT-5K; Chatham Rise; COMPCORE; Composite Core; Conrad Rise; Core; CORE; Core1471; Core2088; Core21210009; Core2307; Core2631; Core2657; Core2706; Core2774; Core47396; Core654; Core660; Core936; Corner Rise; Denmark Strait; Drake Passage; DRILL; Drilling/drill rig; Eastern Equatorial Pacific; Eastern slope of Kurile Basin; East Pacific; Emperor Seamounts; EN06601; EN066-39GGC; Endeavor; Equatorial East Pacific; ESTASE1; EW0408; EW0408-26JC; EW0408-85JC; EW0408-87JC; Exp341; F2-92-P3; F8-90-G21; File content; Galapagos; Galápagos Islands; GC; GC_POI; GeoB1503-1; GeoB2104-3; GeoB7149-2; GeoB7162-6; GeoB7163-7; GeoB7167-6; GGC; GGC5; gh02-1030; Giant box corer; Giant gravity corer; Giant piston corer; GIK17940-1; GIK23243-2 PS05/431; GKG; Glomar Challenger; GPC; Gravity corer; Gravity corer (Kiel type); Gravity corer (POI); GS07-150-17/1GC-A; GS07-150-20/2A; Gulf of Alaska; Gulf of California; H209; H213; HH12-946MC; HU72-021-7; HU89038-8PC; IMAGES III - IPHIS; IMAGES IV-IPHIS III; IMAGES V; IMAGES VIII - MONA; IMAGES VII - WEPAMA; IMAGES XII - MARCO POLO; IMAGES XV - Pachiderme; Indian Ocean; INOPEX; Interim_Seamount; Japan Trench; Jean Charcot; JM-FI-19PC; Joides Resolution; JPC; JPC30; JT96-09; JT96-09PC; Jumbo Piston Core; KAL; KALMAR II; Kasten corer; KL; KN_USA; KN11002; KN159-5; Knorr; KNR073-04-003; KNR110-50; KNR110-66; KNR110-82a; KNR110-82GGC; KNR140; KNR140-01JPC; KNR140-02JPC; KNR140-12JPC; KNR140-2-12JPC; KNR140-2-22JPC; KNR140-22JPC; KNR140-2-30GGC; KNR140-2-51GGC; KNR140-26GGC; KNR140-30GGC; KNR140-37JPC; KNR140-39GGC; KNR140-43GGC; KNR140-50GGC; KNR140-51GGC; KNR140-56GGC; KNR140-66GGC; KNR159-5; KNR159-5-36GGC; KNR159-5-78GGC; KNR176-17GC; KNR178; KNR178-2GGC; KNR178-32JPC; KNR195-5-CDH23; KNR195-5-CDH26; KNR195-5-CDH41; KNR195-5-GGC43; KNR197-10; KNR197-10CDH42; KNR197-10-CDH42; KNR197-10-CDH46; KNR197-10-GGC17; KNR197-10-GGC36; KNR197-10-GGC5; KNR198-CDH36; KNR198-GGC15; KNR31GPC5; KNR733P; KNR734P; KNR736P; KOL; KOMEX; KOMEX II; KR02-15-PC06; Kronotsky Peninsula; KT89-18-P4; Lakshadweep Sea; Laurentian fan; Leg145; Leg146; Leg167; Leg202; Leg64; Le Suroît; LPAZ21P; LV27/GREGORY; LV27-2-4; LV29-114-3; LV29-2; M16/2; M23/2; Marion Dufresne (1972); Marion Dufresne (1995); Maurice Ewing; Mazatlan; MCSEIS; MD012378; MD01-2378; MD012386; MD01-2386; MD012416; MD01-2416; MD012420; MD01-2420; MD022489; MD02-2489; MD022519; MD02-2519; MD03-2697; MD03-2707; MD052896; MD05-2896; MD052904; MD05-2904; MD07-3076; MD07-3076Q; MD07-3088; MD08-3169; MD08-3180; MD09-3256; MD09-3256Q; MD09-3257; MD106; MD111; MD114; MD122; MD12-3396Cq; MD126; MD13; MD134; MD147; MD159; MD168; MD173; MD189; MD77-176; MD972106; MD97-2106; MD972120; MD97-2120; MD972121; MD97-2121; MD972138; MD97-2138; MD982165; MD98-2165; MD982181; MD98-2181; MD99-2334; ME0005A; ME0005A-24JC; ME0005A-43JC; Melville; Meteor (1986); ML1208-01PC; MONITOR MONSUN; MR01-K03; MR06-04_PC04A; MUC; Multichannel seismics; MultiCorer; MV99-GC38; MV99-MC17/GC32/PC10; MV99-MC19/GC31/PC08; NEMO; Nesmeyanov25-1-GGC15; Nesmeyanov25-1-GGC18; Nesmeyanov25-1-GGC20; Nesmeyanov25-1-GGC27; New_England_Seamounts; North Atlantic; North Greenland Sea; North Pacific/Gulf of California/BASIN; North Pacific Ocean; Northwest Atlantic; Norwegian Sea; OCE326-GGC14; OCE326-GGC26; OCE326-GGC5; off Chile; off Nova Scotia; OSIRIS III; Pacific Ocean; PALEOCINAT; PC; Philippine Sea; PICABIA; Piston corer; Piston corer (BGR type); Piston corer (Kiel type); PLDS-007G; PLDS-1; Pleiades; Polarstern; PS05; PS1243-2; PS2606-6; PS2644-2; PS30; PS30/144; PS31; PS31/160; PS69; PS69/907-2; PS69/912-3; PS69/912-4; PS75/059-2; PS75/100-4; PS75/104-1; PS75 BIPOMAC; PUCK; RAPiD-10-1P; RAPiD-15-4P; RAPiD-17-5P; RBDASS05; RC24; RC24-8GC; RC27; RC27-14; RC27-23; Remote operated vehicle; RETRO-2; RNDB-GGC15; RNDB-GGC5; RNDB-PC11; RNDB-PC13; Robert Conrad; ROV; RR0503-36JPC; RR0503-41JPC; RR0503-64JPC; RR0503-79JPC; RR0503-831C; RR0503-83GC; S67-FFC15; S794; S931; Sakhalin shelf and slope; Sars_Seamount; Scotia Sea; Sea of Okhotsk; SEDCO; Sediment corer; Shackleton_Fracture_Zone; SHAK03-6K; SHAK05-3K; SHAK06-4K; SHAK06-5K; SHAK10-10K; SHAK14-4G; Shirshov Ridge; SK129-CR2; SL; Smithsonian_48735.1; SO156/2; SO156/3; SO161/3; SO161/3_22; SO178; SO178-13-6; SO201/2; SO201-2-101; SO201-2-12KL; SO201-2-77; SO201-2-85; SO202/1; SO202/1_18-6; SO213/2; SO213/2_76-2; SO213/2_79-2; SO213/2_82-1; SO213/2_84-1; SO95; Sonne; SOPATRA; South Atlantic; South Atlantic Ocean; South China Sea; Southern Alaska Margin: Tectonics, Climate and Sedimentation; South of Iceland; South Pacific Ocean; South Tasman Rise; Southwest Pacific Ocean; SPOC; Station 6, MD189-3396; SU90-08; Thomas G. Thompson (1964); Thomas Washington; Timor Sea; TNO57-21; TR163-22; TR163-23; TR163-31; TT154-10; TTN13-18; TTXXX; U938; V34; V34-98; V35; V35-5; V35-6; Vema; Vigo; VINO19-4-GGC17; VINO19-4-GGC37; VM21-29; VM21-30; VM23-81; VM28-122; VM28-238; VNTR01; VNTR01-10GC; W8709A; W8709A-13; Wecoma
    Type: Dataset
    Format: text/tab-separated-values, 14 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 55
    facet.materialart.
    Unknown
    Glacier mass balance Hallstätter Gletscher, Dachstein, Austria, 2017/2018 (2019)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Keywords: Ablation area; Accumulation area; Accumulation area ratio; DATE/TIME; Equilibrium line altitude; Glaciers Austria; Hallstätter Gletscher, Dachstein, Austria; HSG; Mass balance, total; Mass balance in ablation area; Mass balance in accumulation area; Specific mass balance; Specific mass balance, summer; Specific mass balance, winter; Specific mass balance in the ablation area; Specific mass balance in the accumulation area; Total area
    Type: Dataset
    Format: text/tab-separated-values, 13 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 56
    facet.materialart.
    Unknown
    Elevation zones Hallstätter Gletscher, Dachstein, Austria, 2017/2018 (2019)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Keywords: DATE/TIME; Elevation, maximum; Elevation, minimum; Glaciers Austria; Hallstätter Gletscher, Dachstein, Austria; HSG; Mass balance, total of the altitude zone; Specific mass balance of the altitude zone; Specific mass balance of the altitude zone, summer; Specific mass balance of the altitude zone, winter; Total area of the altitude zone
    Type: Dataset
    Format: text/tab-separated-values, 98 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 57
    facet.materialart.
    Unknown
    Stable oxygen isotope record of Neogloboquadrina pachyderma sinistral of sediment composite core MD99-2275_B05-2006-MC04B (2019)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Keywords: AGE; Benthic and planktonic foraminifera; COMPCORE; Composite Core; DEPTH, sediment/rock; Last millennium; Mass spectrometer Finnigan MAT 251; MD99-2275_B05-2006-MC04B; Neogloboquadrina pachyderma sinistral, δ18O; North Icelandic shelf; Skjalfandadjup; Stable isotopes
    Type: Dataset
    Format: text/tab-separated-values, 321 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 58
    facet.materialart.
    Unknown
    Abundances of Neogloboquadrina pachyderma sinistral in sediment composite core MD99-2275_B05-2006-MC04B (2019)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Keywords: AGE; Benthic and planktonic foraminifera; COMPCORE; Composite Core; Counting 125-1000 µm fraction; Last millennium; MD99-2275_B05-2006-MC04B; Neogloboquadrina pachyderma sinistral; North Icelandic shelf; Skjalfandadjup; Stable isotopes
    Type: Dataset
    Format: text/tab-separated-values, 286 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 59
    facet.materialart.
    Unknown
    Elevation zones Hallstätter Gletscher, Dachstein, Austria, 2018/2019 (2020)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: The annual glacier mass balance of Hallstätter Gletscher in Austria is measured since 1.10.2006 with the direct glaciological method in the fixed date system (1.10. to 30. 09. of the following year). The accumulation of snow is measured by determination of the water equivalent in 6 snow pits, the ice ablation is measured with 15 stakes drilled into the ice. Results are the annual net mass balance in kg, the total accumulation and ablation, the glacier area and the portions of the area which are subject to ablation and accumulation, the elevation of the equilibrium line and the specific mass balance in kg/m² (= mm w.e.). The accumulation during the winter is determined by the 1 May. The project is funded by the Federal Government of Upper Austria. The measurements are carried out the Institute for Interdisciplinary Mountain Research of the Austrian Academy of Sciences and the company Blue Sky in Gmunden, Austria.
    Keywords: DATE/TIME; Elevation, maximum; Elevation, minimum; Glaciers Austria; Hallstätter Gletscher, Dachstein, Austria; HSG; Mass balance, total of the altitude zone; Specific mass balance of the altitude zone; Specific mass balance of the altitude zone, summer; Specific mass balance of the altitude zone, winter; Total area of the altitude zone
    Type: Dataset
    Format: text/tab-separated-values, 98 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 60
    facet.materialart.
    Unknown
    Glacier mass balance Hallstätter Gletscher, Dachstein, Austria, 2020/21 (2022)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: The annual glacier mass balance of Hallstätter Gletscher in Austria is measured since 1.10.2006 with the direct glaciological method in the fixed date system (1.10. to 30. 09. of the following year). The accumulation of snow is measured by determination of the water equivalent in 6 snow pits, the ice ablation is measured with 15 stakes drilled into the ice. Results are the annual net mass balance in kg, the total accumulation and ablation, the glacier area and the portions of the area which are subject to ablation and accumulation, the elevation of the equilibrium line and the specific mass balance in kg/m² (= mm w.e.). The accumulation during the winter is determined by the 1 May. The project is funded by the Federal Government of Upper Austria. The measurements are carried out the Institute for Interdisciplinary Mountain Research of the Austrian Academy of Sciences and the company Blue Sky in Gmunden, Austria.
    Keywords: Ablation area; Accumulation area; Accumulation area ratio; DATE/TIME; Equilibrium line altitude; Glaciers Austria; Hallstätter Gletscher, Dachstein, Austria; HSG; Mass balance, total; Mass balance in ablation area; Mass balance in accumulation area; Specific mass balance; Specific mass balance, summer; Specific mass balance, winter; Specific mass balance in the ablation area; Specific mass balance in the accumulation area; Total area
    Type: Dataset
    Format: text/tab-separated-values, 13 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 61
    facet.materialart.
    Unknown
    Elevation zones Hallstätter Gletscher, Dachstein, Austria, 2022/2023 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: The annual glacier mass balance of Hallstätter Gletscher in Austria is measured since 1.10.2006 with the direct glaciological method in the fixed date system (1.10. to 30. 09. of the following year). The accumulation of snow is measured by determination of the water equivalent in 6 snow pits, the ice ablation is measured with 15 stakes drilled into the ice. Results are the annual net mass balance in kg, the total accumulation and ablation, the glacier area and the portions of the area which are subject to ablation and accumulation, the elevation of the equilibrium line and the specific mass balance in kg/m² (= mm w.e.). The accumulation during the winter is determined by the 1 May. The project is funded by the Federal Government of Upper Austria. The measurements are carried out the Institute for Interdisciplinary Mountain Research of the Austrian Academy of Sciences and the company Blue Sky in Gmunden, Austria.
    Keywords: Alps; Austria; Dachstein; DATE/TIME; Elevation, maximum; Elevation, minimum; Glacier mass balance; Glaciers_austria; Hallstätter Gletscher, Dachstein, Austria; HSG; Mass balance, total of the altitude zone; Specific mass balance of the altitude zone; Specific mass balance of the altitude zone, summer; Specific mass balance of the altitude zone, winter; Total area of the altitude zone
    Type: Dataset
    Format: text/tab-separated-values, 84 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 62
    facet.materialart.
    Unknown
    Elevation zones Hallstätter Gletscher, Dachstein, Austria, 2021/2022 (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: The annual glacier mass balance of Hallstätter Gletscher in Austria is measured since 1.10.2006 with the direct glaciological method in the fixed date system (1.10. to 30. 09. of the following year). The accumulation of snow is measured by determination of the water equivalent in 6 snow pits, the ice ablation is measured with 15 stakes drilled into the ice. Results are the annual net mass balance in kg, the total accumulation and ablation, the glacier area and the portions of the area which are subject to ablation and accumulation, the elevation of the equilibrium line and the specific mass balance in kg/m² (= mm w.e.). The accumulation during the winter is determined by the 1 May. The project is funded by the Federal Government of Upper Austria. The measurements are carried out the Institute for Interdisciplinary Mountain Research of the Austrian Academy of Sciences and the company Blue Sky in Gmunden, Austria.
    Keywords: DATE/TIME; Elevation, maximum; Elevation, minimum; Glacier mass balance; Glaciers_austria; Hallstätter Gletscher, Dachstein, Austria; HSG; Mass balance, total of the altitude zone; Specific mass balance of the altitude zone; Specific mass balance of the altitude zone, summer; Specific mass balance of the altitude zone, winter; Total area of the altitude zone
    Type: Dataset
    Format: text/tab-separated-values, 91 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 63
    facet.materialart.
    Unknown
    Glacier mass balance Hallstätter Gletscher, Dachstein, Austria, 2021/2022 (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Description: The annual glacier mass balance of Hallstätter Gletscher in Austria is measured since 1.10.2006 with the direct glaciological method in the fixed date system (1.10. to 30. 09. of the following year). The accumulation of snow is measured by determination of the water equivalent in 6 snow pits, the ice ablation is measured with 15 stakes drilled into the ice. Results are the annual net mass balance in kg, the total accumulation and ablation, the glacier area and the portions of the area which are subject to ablation and accumulation, the elevation of the equilibrium line and the specific mass balance in kg/m² (= mm w.e.). The accumulation during the winter is determined by the 1 May. The project is funded by the Federal Government of Upper Austria. The measurements are carried out the Institute for Interdisciplinary Mountain Research of the Austrian Academy of Sciences and the company Blue Sky in Gmunden, Austria.
    Keywords: Ablation area; Accumulation area; Accumulation area ratio; DATE/TIME; Glacier mass balance; Glaciers_austria; Hallstätter Gletscher, Dachstein, Austria; HSG; Mass balance, total; Mass balance in ablation area; Mass balance in accumulation area; Specific mass balance; Specific mass balance, summer; Specific mass balance, winter; Specific mass balance in the ablation area; Specific mass balance in the accumulation area; Total area
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 64
    facet.materialart.
    Unknown
    The Holocene silicon biogeochemistry of Yellowstone Lake, USA (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-11
    Language: English
    Type: info:eu-repo/semantics/workingPaper
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    PAPER (OA)
  • 65
    facet.materialart.
    Unknown
    Glacier surface velocities in the Ötztal Alps (Austria) (2018)
    PANGAEA
    In:  Supplement to: Stocker-Waldhuber, Martin; Fischer, Andrea; Helfricht, Kay; Kuhn, Michael (2019): Long-term records of glacier surface velocities in the Ötztal Alps (Austria). Earth System Science Data, 11(2), 705-715, https://doi.org/10.5194/essd-11-705-2019
    Details
    Publication Date: 2024-07-09
    Description: Glacier surface velocities are measured on four neighbouring glaciers in the Ötztal Alps (Austria). Measurements of the annual horizontal flow velocity (Δs/a [m/a]) on Hintereisferner (HEF) were started in 1885 at stone lines (cross-profiles). Annual values for the stone lines are given as mean values from the stones at the cross-profiles. On Kesselwandferner, the annual horizontal (Δs/a [m/a]) and vertical velocities (Δv/a [m/a], positive upwards and negative downwards) are measured at ablation and accumulation stakes since 1965. On Taschachferner (TSF) and Gepatschferner (GPF), the records of annual and subseasonal horizontal flow velocities at ablation stakes were started in 2009. The data series continues annually, see: doi:10.1594/PANGAEA.928360.
    Type: Dataset
    Format: application/zip, 4 datasets
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 66
    facet.materialart.
    Unknown
    Continuous pCO2 measurements with a multiple fibre optics device at station MUFO-6 during cruise ECO2-8 (2015)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Keywords: Carbon dioxide, partial pressure; DATE/TIME; DEPTH, water; ECO2; ECO2-8; ECO2-8-MUFO-6; MUFO; Multi fibre optics sensor mooring; Panarea; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Zodiac
    Type: Dataset
    Format: text/tab-separated-values, 1036 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 67
    facet.materialart.
    Unknown
    REVEALS reconstruction of past vegetation cover with original RPP values for Asian samples (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: This data set presents the reconstructed vegetation cover for 533 Asian sites based on harmonized pollen data from the data set LegacyPollen 2.0 (https://doi.pangaea.de/10.1594/PANGAEA.929773). Sugita's REVEALS model (2000) was applied to all pollen records using REVEALSinR from the DISQOVER package (Theuerkauf et al. 2016). Pollen counts were translated into vegetation cover by accounting for taxon-specific pollen productivity and fall speed. Additionally, relevant source areas of pollen were calculated using the aforementioned taxon-specific parameters and a gaussian plume model for deposition and dispersal and forest cover was reconstructed. Values for relative pollen productivity and fall speed from the synthesis from Wiezcorek and Herzschuh (2010) were used for the reconstruction of vegetation cover. The average values from all Northern Hemisphere values were used where taxon-specific continental values were not available. We present tables with reconstructed vegetation cover for all continents with original parameters. As further details we list a table with the taxon-specific parameters used and a list of parameters adjusted in the default version of REVEALSinR.
    Keywords: 11-CH-12A; 11CH17A_Pollen; 16-KP-01-L02-Long3; 880; Abies, cover; Acacia, cover; Acanthaceae, cover; Acer, cover; Aceraceae, cover; ACHIT8; ACHITNUR; Achit-Nur, Mongolia; ACHITNUR8; Achit Nur 8; Achit Nur Lake; ACHITNUUR; Achit Nuur; Acoraceae, cover; Actinidiaceae, cover; Adoxaceae, cover; Adycha_River; Adycha River; Aesculus, cover; AGHNAGHA; Aghnaghak; Aglaia, cover; AHUNG; Ahung Co; AIBI; Aibi Lake; Ailanthus, cover; Aizoaceae, cover; AKKOL; Akkol Lake; AKTEREK; Ak Terek; AKULININ; Akulinin Exposure P1282; AL3; Alangium, cover; Albizia, cover; Alchornea, cover; Allophylus, cover; ALMALOU3; Alnus, cover; Altingia, cover; ALUT; Alut Lake; Amaranthaceae, cover; Amaryllidaceae, cover; AMBA; Amba River; AMGUEMA1; AMGUEMA2; Amguema River 1; Amguema River 2; Ampelopsis, cover; Anacardiaceae, cover; Anguli Nur Lake; ANGUNUR; Annona, cover; Antidesma, cover; Aphanamixis, cover; Apiaceae, cover; Apocynaceae, cover; Apodytes, cover; Aporosa, cover; Aquifoliaceae, cover; Araceae, cover; ARAL86; Araliaceae, cover; Arctic Ocean; Arctostaphylos, cover; Ardisia, cover; Area; Arecaceae, cover; ARKIDA_Pollen; Artemisia, cover; Asia; Asparagaceae, cover; Asphodelaceae, cover; ASTAAL13_Pollen; Asteraceae, cover; Avicennia, cover; AWI_Envi; AWI Arctic Land Expedition; AYONGWA; Ayongwama Co; Baahar Nuur Lake; BAAHNUUR; BAIDARA; Baidara, Russia; Baihe; BAIHE; Baika; BAIKA2; Baikal_Lake-CON01-603-5; Baikal_Lake-CON01-605-3; Baikal_Lake-CON01-605-5; BAIKAL606-3; Baikal CON01-606-3; Baikal Lake-CON01-603-5; Baikal Lake-CON01-605-3; Baikal Lake-CON01-605-5; Baiyangdian Lake GY; BAIYANGGY; BAJIAO; Bajiaotian; Bakaly; BAKALY_neotoma; BALIKUN; Balikun Lake; Balsaminaceae, cover; BANGONG; Bangong Co Lake; BARABA; Barbarina_Tumsa; BARKOLBLK6E; Barkol Lake BLK06E; Basin; Bauhinia, cover; BAYANBY; BAYANCH; Bayanchagan Lake BY; BEIDAWA; Beidawan; BEIHAIGK10; Beihai GK10; BEILIKEK; Beilikekule Lake; Belaya Skala Exposure; BELSKALA; Berberidaceae, cover; BEREGOV2_Pollen; Berelyekh River; BETENK; Betenkyos Adycha river; Betula, cover; Betulaceae, cover; Biebersteiniaceae, cover; Big_Yarovoe_Lake_2008-3; Bignoniaceae, cover; Big Yarovoe Lake; BOGUDA; BOLOTNYI; Bolotnyii Stream Exposure 117; BOLS1TZ1_Pollen; Bolshaya Kuobakh-Baga River; Bolshaya Kuropatochya River; Bolshaya Kuropatochya River P7; Bolshoe Eravnoe Lake, Russia; Bolshoe Toko; BOLVAN25_Pollen; BOLVAN48_Pollen; Bombax, cover; Boraginaceae, cover; Bosten; Boyiqiao ZK01; BOYIQZK1; Brassicaceae, cover; Broussonetia, cover; Buddleja, cover; BUGRIST; Bugristoe, Russia; Buxus, cover; Byllatskoye; Calculated average/mean values; Calendar age, maximum/old; Calendar age, mean; Calendar age, median; Calendar age, minimum/young; Callicarpa, cover; Camellia, cover; Campanulaceae, cover; CAMPING; CANGUMI; Cangumiao; Cannabaceae, cover; CAOTAN2002; Caotanhu 2002; Cape Shpindler, Yugorski Peninsula, Russia; Capparaceae, cover; Capparis, cover; Caprifoliaceae, cover; Caragana, cover; Carya, cover; Caryophyllaceae, cover; Casearia, cover; Caspian Sea; Castanea, cover; Castanopsis, cover; Casuarina, cover; Catalpa, cover; Cedrus, cover; Celastraceae, cover; Celtis, cover; Cephalanthus, cover; Cercidiphyllum, cover; Cercis, cover; CHABADA1; CHABADA2; ChabadaII; Chabada Lake, Russia; CHADIAN; Chadianpo; Chaginskoe; CHAIWOCKF; Chaiwopu Lake CKF; Chamaecyparis, cover; Changjiang CM97; Changjiang HQ98; CHANGJICM97; CHANGJIHQ98; CHANGNING_Pollen; Changshan; CHANGSHAN; CHANGXING; Changxing Island; CHAOCH1; Chaohu Lake CH1; CHARIMUCH; Charisu/Muchang profile; Chatanga2011; CHENGCH2; Chenghai CH2; Cheremushka_Bog; Cheremushka Bog; Chernaya_Gorka; CHERNOE; Chernoe Lake, Russia; CHERNYAR; Chernyii Yar Exposure 955; Cherny Yar, Russia; CHERYAR; CHESNOK; Chesnok Peat Irtysh River; Chifeng-Qiguo Mt.; CHIFEQIGU; China; Chistoye Lake; CHITSAI; Chitsai Lake; CHUANGY; Chuangye; Chukotka 2018; Cistaceae, cover; Citrus, cover; Claoxylon, cover; Clausena, cover; Clerodendrum, cover; Clethra, cover; Clethraceae, cover; Clusiaceae, cover; Co1412; Cocculus, cover; Colchicaceae, cover; Combretaceae, cover; Commelinaceae, cover; COMPCORE; Composite Core; Continent; Convolvulaceae, cover; Co Qongjiamong; Core1; Core13; Core2; Core20; Core86; Cornaceae, cover; Cornus, cover; Corylus, cover; Cotinus, cover; Crassulaceae, cover; Crataegus, cover; Cratoxylum, cover; Cryptomeria, cover; CS98-10; Cucurbitaceae, cover; Cunninghamia, cover; Cupressaceae, cover; Cupressus, cover; Cyclobalanopsis, cover; Cyclocarya, cover; Cyperaceae, cover; DABA8; DABANUR; Daba-Nur, Mongolia; Daba Nur Lake; DABSANCK181; Dabsan Lake CK1/81; Dacrydium, cover; Dadiwan_2007; Dadiwan_2008; DADIWAN07; DADIWAN08; DAHAIZI; Dahaizi Lake; DAHU_Pollen; DAIHAI99A; DAIHAI99B; Daihai Lake 99a; Daihai Lake DH99B; Dajiuhu_2013; DAJIUHU2013; DAJIUHUC1; Dajiuhu Lake C1; DALAINUR; Dalai Nur Lake-Haiyan; Dalbergia, cover; DALINURHAO; Dali Nur-Haoluku Lake; DALINURJIAN; Dali Nur-Jiangjunpaozi Lake; DALINURLIU; Dali Nur-Liuzhouwan Lake; Damagou; DAMAGOU; Dashan; DASHAN; DASHUI; Dashuitang; Data ID; Datiscaceae, cover; Daxigou; DAXIGOU; DAZIYIN; Daziying; Decaspermum, cover; DENGJIAC; Dengjiacun; DEPTH, sediment/rock; DERPUT; Derput, Russia; Deutzia, cover; Diameter; DIAOJIAO; Diaojiaohaizi DJ; Diapensiaceae, cover; DIMA1; DIMA2; DIMA3; DIMA4; Dingnan; DINGNAN; Dingxi; DINGXI; Dioscoreaceae, cover; Diospyros, cover; Diplospora, cover; Dipsacaceae, cover; Dipterocarpaceae, cover; Distylium, cover; Dlinnoye_Lake; Dlinnoye Lake; Dodonaea, cover; Dolgoe_Ozero; Dolgoe Ozero; DONGDAO; Dongdaohaizi B; DONGGAN; Dongganchi; DONGGI1790; Dongguan_PK16; DONGGUPK16; DOOD4; DOODNUR; Dood-Nur, Mongolia; Dood Nur Lake; DOUCO; Douco Lake; DRILL; Drilling/drill rig; Droseraceae, cover; East Siberian Sea Coast 11; Ebenaceae, cover; EBINUR; Ebinur Lake; Ebinur Lake SW; EBINURSW; EK4; Elaeagnaceae, cover; Elaeagnus, cover; Elaeocarpaceae, cover; Elaeocarpus, cover; Eleutherococcus, cover; ELGENNYA; Elgennya Lake; Elgygytgyn_Lake_P2; Elgygytgyn crater lake, Sibiria, Russia; Elgygytgyn lake; Elgygytgyn Lake P2; Elikchan 4 Lake; EN18218; Endospermum, cover; Engelhardia, cover; ENM109; ENMYN; Enmynveem Malyi Anyui; Enmynveem River; Entada, cover; ENTARNOY; Entarnoye; Ephedra, cover; Ephedraceae, cover; ERAVNOE; ERHAIES; Erhai Lake ES; Ericales, cover; Eriobotrya, cover; ERLONGWA; Erlongwan Maar Lake; Eucalyptus, cover; Euonymus, cover; Euphorbiaceae, cover; Euptelea, cover; Eupteleaceae, cover; Eurya, cover; Event label; Excoecaria, cover; Fabaceae, cover; Faddeyevskiy; FADEYEVS; Fagaceae, cover; Fagraea, cover; Fagus, cover; FENGNIN; Fengning; FENZHU; Fenzhuang; Ficus, cover; Flacourtia, cover; Flacourtiaceae, cover; Flueggea, cover; Forest, cover; fossil pollen; Foyechi; FOYECHI; Frangula, cover; Frankeniaceae, cover; Fraxinus, cover; GANHAI; Ganhai Lake; GANLAN; Ganlanba; Gantang; GANTANG; GAOXI; Gaoximage; Garcinia, cover; Gardenia, cover; GC; GCUWI; GEK; Gek Lake; GENGGA_Pollen; Genista, cover; Gentianaceae, cover; Geological profile sampling; GEOPRO; Geraniaceae, cover; Gesneriaceae, cover; GHARASO_Pollen; Ginkgo, cover; GLADKOYE; Gladkoye Bog; Global River Discharge; Glochidion, cover; Glukhoye Lake; GLUPEAT; Glyptostrobus, cover; GOLUBOY; Goluboye Lake; Gomishan, Islamic Republic of Iran; GONGHAI; Gonghai Lake; Gounong Co KX-1; GOUNONGKX1; Gravity corer; Gravity corer, UWITEC; Grewia, cover; Grossulariaceae, cover; GRUSHA; Grusha Lake; GS05; GS18; GUANGFU; Guangfulin; GUANGRU1; Guangrunpo 1; GUANGTA; Guangtangtou; GUCHENG; Gucheng Lake; Gulf of Tartary; GUNNUR; Gun-Nur, Mongolia; GUNNURLA; Gun Nur Lake; Gur_sample; GURSKII; Gurskii Peat; Gymnosporia, cover; GYTGYKAI; Gytgykai Lake; HACHIHAM; Hachihama; Hachiman-Numa; HACHI-NU; Hailaer; HAILAER; Haiyuan; HAIYUAN; Halali; HALALI; HALIGU; Haligu Lake; Hamaertai Lake Ha2; HAMAHA2; Hamamelidaceae, cover; Hamamelis, cover; HANHAIH1; Hanhai Lake H1; HARBA; Harbaling; HCGA05_Pollen; HCGL02_Pollen; Headwaters Opasnaya River (mine shaft); Helicia, cover; Heliotropium, cover; Helwingia,
    Type: Dataset
    Format: text/tab-separated-values, 47321056 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 68
    facet.materialart.
    Unknown
    Water chemistry of Lagrangian samplings of Inland Elbe 2023 (MOSES Hydrological Extremes) (2023)
    PANGAEA
    In:  Helmholtz Centre for Environmental Research - UFZ
    Details
    Publication Date: 2024-07-09
    Description: The MOSES campaign ELBE 2023 covered the whole River Elbe from the source in the Czech Republic, the German freshwater part, the tidal Elbe river, towards the German Bight, where we try to follow the river plume with three ships by help of drifters. In the German freshwater Elbe, physico-chemical and biological parameters will be measured along the Elbe using the research vessel ALBIS from Schmilka (km 4, German border) to Geestacht (km 585, close to Hamburg) in a Langrangian approach. The scientific focus in 2023 was on pollutants, particularly pharmaceuticals, herbicides, and microplastics. For that, we sample not only water but also sediments, and use passive samplers. In addition, a land team sampled tributaries and effluents of weaste water treatment plants parallel to the ship.
    Keywords: 2023ELBE_el00400l; 2023ELBE_el00400m; 2023ELBE_el00400r; 2023ELBE_el05450l; 2023ELBE_el05450m; 2023ELBE_el05450r; 2023ELBE_el08800l; 2023ELBE_el08800m; 2023ELBE_el08800r; 2023ELBE_el10700l; 2023ELBE_el10700m; 2023ELBE_el10700r; 2023ELBE_el15450l; 2023ELBE_el15450m; 2023ELBE_el15450r; 2023ELBE_el17200m; 2023ELBE_el17200r; 2023ELBE_el17260l; 2023ELBE_el19900muend; 2023ELBE_el25800l; 2023ELBE_el25800m; 2023ELBE_el25800r; 2023ELBE_el25900muend; 2023ELBE_el28700l; 2023ELBE_el28700m; 2023ELBE_el28700r; 2023ELBE_el29070muend; 2023ELBE_el31800l; 2023ELBE_el31800m; 2023ELBE_el31800r; 2023ELBE_el32653l; 2023ELBE_el32653m; 2023ELBE_el32653r; 2023ELBE_el35100l; 2023ELBE_el35100m; 2023ELBE_el35100r; 2023ELBE_el38800l; 2023ELBE_el38800m; 2023ELBE_el38800r; 2023ELBE_el42225l; 2023ELBE_el42225m; 2023ELBE_el42225r; 2023ELBE_el43800muend; 2023ELBE_el45490l; 2023ELBE_el45490m; 2023ELBE_el45490r; 2023ELBE_el47500l; 2023ELBE_el47500m; 2023ELBE_el47500r; 2023ELBE_el50600l; 2023ELBE_el50600m; 2023ELBE_el50600r; 2023ELBE_el53600l; 2023ELBE_el53600m; 2023ELBE_el53600r; 2023ELBE_el57040l; 2023ELBE_el57040m; 2023ELBE_el57040r; 2023ELBE_el58550l; 2023ELBE_el58550m; 2023ELBE_el58550r; Albis; Ammonium molybdate spectrometric method; Ammonium-nitrogen; Area/locality; Arsenic, dissolved; Arsenic, total; Base capacity 4.3; Base capacity 8.2; Breitenhagen links; Breitenhagen mitte; Breitenhagen rechts; Carbon, organic, dissolved; Carbon, organic, particulate; Carbon dioxide; CFA; Chlorophyll a; Conductivity, electrical; Continuous Flow Analysis; DATE/TIME; Distance; Doemitz links; Doemitz Mitte; Doemitz rechts; Dommitzsch links; Dommitzsch Mitte; Dommitzsch rechts; Dresden Carolabruecke links; Dresden Carolabruecke Mitte; Dresden Carolabruecke rechts; Elbe; Event label; Gas chromatograph (8610C, SRI Instruments, Torrance, USA); Geestacht links; Geestacht rechts; Geesthacht Mitte; greenhouse gas; Havel Muendung; HPLCO; ICP-OES; InfraRed sensor detection according to DIN EN 1484:1997 DE; Iron, dissolved; Iron, total; LATITUDE; Lauenburg links; Lauenburg Mitte; Lauenburg rechts; Lead, dissolved; Lead, total; LONGITUDE; Magdeburg Neue Strombruecke links; Magdeburg Neue Strombruecke Mitte; Magdeburg Neue Strombruecke rechts; Manganese, dissolved; Manganese, total; Mercury, total; Methane; Modular Observation Solutions for Earth Systems; MOSES; MOSES_2023_Elbe-NorthSea; MOSES_2023_Elbe-NorthSea_Inland; Mulde Muendung; MULT; Multiparameter probe, YSI Xylem Inc., EXO2; Multiple investigations; Neu Darchau links; Neu Darchau mitte; Neu Darchau rechts; Nitrate-nitrogen; Nitrite-nitrogen; Nitrogen, organic, particulate; Nitrous oxide; Nutrients; Oxygen saturation; pH; Phosphorus, reactive soluble; Phosphorus, total; Pigments analysis by HPLC (UV and FLD); Riesa Bruecke links; Riesa Bruecke Mitte; Riesa Bruecke rechts; river; Rogaetz links; Rogaetz mitte; Rogaetz rechts; Rosslau links; Rosslau Mitte; Rosslau rechts; Saale Muendung; Schmilka links; Schmilka mitte; Schmilka rechts; Schnackenburg links; Schnackenburg mitte; Schnackenburg rechts; Schwarze Elster Muendung; Segmented flow analysis according to DIN EN ISO 13395:1996-12; Silicon; Tangermuende links; Tangermuende Mitte; Tangermuende rechts; Temperature, water; Torgau Bruecke links; Torgau Bruecke Mitte; Torgau Bruecke rechts; Turbidity (Nephelometric turbidity unit); Werben links; Werben Mitte; Werben rechts; Westerhuesen links; Westerhuesen Mitte; Westerhuesen rechts; Wittenberge, links; Wittenberge, mitte; Wittenberge, rechts; Zehren links; Zehren mitte; Zehren rechts
    Type: Dataset
    Format: text/tab-separated-values, 1972 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 69
    facet.materialart.
    Unknown
    Shipboard ADCP current measurements (75 kHz) during RV MARIA S. MERIAN cruise MSM117 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: Current velocities of the upper water column along the cruise track of R/V Maria S. Merian cruise MSM117 were collected by a vessel-mounted 75 kHz RDI Ocean Surveyor ADCP. The ADCP transducer was located at 6.0 m below the water line. The instrument was operated in two different configurations: 1) narrowband mode with 8 m bins and a blanking distance of 8 m, with a total of 100 bins, 2) broadband mode with 5 m bins and a blanking distance of 5 m, with a total of 128 bins. Heading, pitch and roll data from the ship's motion reference unit and the navigation data from the Global Positioning systems were used by the data acquisition software VmDAS internally to convert ADCP velocities into earth coordinates. Single-ping data were screened for bottom signals and, where appropriate, a bottom mask was manually processed. The ship's velocity was calculated from position fixes obtained by the Global Positioning System (GPS). Accuracy of the ADCP velocities mainly depends on the quality of the position fixes and the ship's heading data. Further errors stem from a misalignment of the transducer with the ship's centerline. Data post-processing included water track calibration of the misalignment angle (configuration 1: -47.4696° +/- 0.7022°, configuration 2: -47.4676° +/- 0.9771°) and scale factor (configuration1: 1.0081 +/- 0.0114, configuration 2: 1.0086 +/- 0.0161) of the Ocean Surveyor signal. The velocity data were averaged in time using an average interval of 60 s. Velocity quality flagging is based on following threshold criteria: abs(UC) or abs(VC) 〉 2.0 m/s, rms(UC_z) or rms(VC_z) 〉 0.3.
    Keywords: Current velocity, east-west; Current velocity, north-south; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Echo intensity, relative; LATITUDE; LONGITUDE; Maria S. Merian; MSM117; MSM117_0_Underway-4; Pings, averaged to a double ensemble value; Quality flag, current velocity; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); Vessel mounted Acoustic Doppler Current Profiler [75 kHz]; VMADCP-75; WB Circ Brazil
    Type: Dataset
    Format: text/tab-separated-values, 20535010 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 70
    facet.materialart.
    Unknown
    Shipboard ADCP current measurements (75 kHz) during RV MARIA S. MERIAN cruise MSM122 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: Current velocities of the upper water column along the cruise track of R/V Maria S. Merian cruise MSM122 were collected by a vessel-mounted 75 kHz RDI Ocean Surveyor ADCP. The ADCP transducer was located at 6.0 m below the water line. The instrument was operated in narrowband mode (WM10) with a bin size of 8.00 m, a blanking distance of 8.00 m, and a total of 100 bins, covering the depth range between 22.0 m and 814.0 m. Heading, pitch and roll data from the ship's motion reference unit and the navigation data from the Global Positioning systems were used by the data acquisition software VmDAS internally to convert ADCP velocities into earth coordinates. The ship's velocity was calculated from position fixes obtained by the Global Positioning System (GPS). Accuracy of the ADCP velocities mainly depends on the quality of the position fixes and the ship's heading data. Further errors stem from a misalignment of the transducer with the ship's centerline. Data post-processing included water track calibration of the misalignment angle (-47.4000° +/- 0.4581°) and scale factor (1.0021 +/- 0.0089) of the Ocean Surveyor signal. The velocity data were averaged in time using an average interval of 60 s. Velocity quality flagging is based on different threshold criteria: Depth cells with ensemble-averaged percent-good values below 25% are marked as 'bad data'. Depth cells with velocities above 2.0 m/s are flagged as 'bad data'. Depth cells with a root-mean-square deviation between the measured ensemble-average velocity and a cell-wise running-mean velocity above 0.3 m/s are flagged as 'probably bad data'.
    Keywords: Current velocity, east-west; Current velocity, north-south; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Echo intensity, relative; LATITUDE; LONGITUDE; Maria S. Merian; MSM122; MSM122_0_Underway-3; Pings, averaged to a double ensemble value; Quality flag, current velocity; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); TRANSFORMERS II; Vessel mounted Acoustic Doppler Current Profiler [75 kHz]; VMADCP-75
    Type: Dataset
    Format: text/tab-separated-values, 7610665 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 71
    facet.materialart.
    Unknown
    Shipboard ADCP current measurements (38 kHz) during RV SONNE cruise SO299/2 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: Current velocities of the upper water column along the cruise track of R/V Sonne cruise SO299/2 were collected by a vessel-mounted 38 kHz RDI Ocean Surveyor ADCP. The ADCP transducer was located at 6.0 m below the water line. The instrument was operated in narrowband mode (WM10) with a bin size of 32.00 m, a blanking distance of 16.00 m, and a total of 50 bins, covering the depth range between 54.0 m and 1622.0 m. Heading, pitch and roll data from the ship's motion reference unit and the navigation data from the Global Positioning systems were used by the data acquisition software VmDAS internally to convert ADCP velocities into earth coordinates. The ship's velocity was calculated from position fixes obtained by the Global Positioning System (GPS). Accuracy of the ADCP velocities mainly depends on the quality of the position fixes and the ship's heading data. Further errors stem from a misalignment of the transducer with the ship's centerline. Data post-processing included water track calibration of the misalignment angle (-0.0835° +/- 0.6233°) and scale factor (1.0005 +/- 0.0091) of the Ocean Surveyor signal. The velocity data were averaged in time using an average interval of 60 s. Velocity quality flagging is based on following threshold criteria: abs(UC) or abs(VC) 〉 1.5 m/s, rms(UC_z) or rms(VC_z) 〉 0.3.
    Keywords: Current velocity, east-west; Current velocity, north-south; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Echo intensity, relative; LATITUDE; LONGITUDE; Pings, averaged to a double ensemble value; Quality flag, current velocity; REE‐T, BIO-OPS_2023; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); SO299/2; SO299/2_0_Underway-6; Sonne_2; Vessel mounted Acoustic Doppler Current Profiler [38 kHz]; VMADCP-38
    Type: Dataset
    Format: text/tab-separated-values, 1660970 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 72
    facet.materialart.
    Unknown
    Shipboard ADCP current measurements (38 kHz) during RV SONNE cruise SO299 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: Current velocities of the upper water column along the cruise track of R/V Sonne cruise SO299 were collected by a vessel-mounted 38 kHz RDI Ocean Surveyor ADCP. The ADCP transducer was located at 6.0 m below the water line. The instrument was operated in narrowband mode (WM10) with a bin size of 32.00 m, a blanking distance of 16.00 m, and a total of 50 bins, covering the depth range between 54.0 m and 1622.0 m. Heading, pitch and roll data from the ship's motion reference unit and the navigation data from the Global Positioning systems were used by the data acquisition software VmDAS internally to convert ADCP velocities into earth coordinates. Single-ping data were screened for bottom signals and, where appropriate, a bottom mask was manually processed. The ship's velocity was calculated from position fixes obtained by the Global Positioning System (GPS). Accuracy of the ADCP velocities mainly depends on the quality of the position fixes and the ship's heading data. Further errors stem from a misalignment of the transducer with the ship's centerline. Data post-processing included water track calibration of the misalignment angle (-0.2374° +/- 0.5601°) and scale factor (1.0045 +/- 0.0097) of the Ocean Surveyor signal. The velocity data were averaged in time using an average interval of 60 s. Velocity quality flagging is based on different threshold criteria: Depth cells with ensemble-averaged percent-good values below 25% are marked as 'bad data'. Depth cells with velocities above 1.5 m/s are flagged as 'bad data'. Depth cells with a root-mean-square deviation between the measured ensemble-average velocity and a cell-wise running-mean velocity above 0.3 m/s are flagged as 'probably bad data'.
    Keywords: Current velocity, east-west; Current velocity, north-south; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; DynaMet; Echo intensity, relative; LATITUDE; LONGITUDE; Pings, averaged to a double ensemble value; Quality flag, current velocity; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); SO299; SO299/1_0_Underway-5; Sonne_2; Vessel mounted Acoustic Doppler Current Profiler [38 kHz]; VMADCP-38
    Type: Dataset
    Format: text/tab-separated-values, 11025015 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 73
    facet.materialart.
    Unknown
    Glacier surface velocities in the Ötztal Alps (Austria), 2017 et seq (2021)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: Glacier surface velocities are measured on four neighbouring glaciers in the Ötztal Alps (Austria). Measurements of the annual horizontal flow velocity (Δs/a [m/a]) on Hintereisferner (HEF) were started in 1885 at stone lines (cross-profiles). Annual values for the stone lines are given as mean values from the stones at the cross-profiles. On Kesselwandferner, the annual horizontal (Δs/a [m/a]) and vertical velocities (Δv/a [m/a], positive upwards and negative downwards) are measured at ablation and accumulation stakes since 1965. On Taschachferner (TSF) and Gepatschferner (GPF), the records of annual and subseasonal horizontal flow velocities at ablation stakes were started in 2009. This data series is a continuation of: doi:10.1594/PANGAEA.896741
    Type: Dataset
    Format: application/zip, 23 datasets
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 74
    facet.materialart.
    Unknown
    Shipboard ADCP current measurements (38 kHz) during RV MARIA S. MERIAN cruise MSM122 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: Current velocities of the upper water column along the cruise track of R/V Maria S. Merian cruise MSM122 were collected by a vessel-mounted 38 kHz RDI Ocean Surveyor ADCP. The ADCP transducer was located at 6.0 m below the water line. The instrument was operated in narrowband mode (WM10) with a bin size of 32.00 m, a blanking distance of 16.00 m, and a total of 50 bins, covering the depth range between 54.0 m and 1622.0 m. Heading, pitch and roll data from the ship's motion reference unit and the navigation data from the Global Positioning systems were used by the data acquisition software VmDAS internally to convert ADCP velocities into earth coordinates. Single-ping data were screened for bottom signals and, where appropriate, a bottom mask was manually processed. The ship's velocity was calculated from position fixes obtained by the Global Positioning System (GPS). Accuracy of the ADCP velocities mainly depends on the quality of the position fixes and the ship's heading data. Further errors stem from a misalignment of the transducer with the ship's centerline. Data post-processing included water track calibration of the misalignment angle (0.4211° +/- 0.4756°) and scale factor (0.9993 +/- 0.0088) of the Ocean Surveyor signal. The velocity data were averaged in time using an average interval of 60 s. Velocity quality flagging is based on different threshold criteria: Depth cells with ensemble-averaged percent-good values below 25% are marked as 'bad data'. Depth cells with velocities above 2.0 m/s are flagged as 'bad data'. Depth cells with a root-mean-square deviation between the measured ensemble-average velocity and a cell-wise running-mean velocity above 0.3 m/s are flagged as 'probably bad data'.
    Keywords: Current velocity, east-west; Current velocity, north-south; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Echo intensity, relative; LATITUDE; LONGITUDE; Maria S. Merian; MSM122; MSM122_0_Underway-6; Pings, averaged to a double ensemble value; Quality flag, current velocity; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); TRANSFORMERS II; Vessel mounted Acoustic Doppler Current Profiler [38 kHz]; VMADCP-38
    Type: Dataset
    Format: text/tab-separated-values, 2577675 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 75
    facet.materialart.
    Unknown
    Basic measurements of radiation at station Lindenberg (2009-09) (2017)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM22, SN 020073, WRMC No. 12014; Pyranometer, Kipp & Zonen, CM22, SN 020074, WRMC No. 12013; Pyrgeometer, Kipp & Zonen, CG4, SN 000517, WRMC No. 12015; Pyrheliometer, Kipp & Zonen, CH1, SN 960129, WRMC No. 12007; 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, 820797 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 76
    facet.materialart.
    Unknown
    Basic measurements of radiation at station Lindenberg (2010-02) (2017)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM22, SN 020073, WRMC No. 12014; Pyranometer, Kipp & Zonen, CM22, SN 020074, WRMC No. 12013; Pyrgeometer, Eppley, PIR, SN 32802F3, WRMC No. 12011; Pyrheliometer, Kipp & Zonen, CH1, SN 960129, WRMC No. 12007; 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, 765701 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 77
    facet.materialart.
    Unknown
    Basic measurements of radiation at station Lindenberg (2010-03) (2017)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM22, SN 020073, WRMC No. 12014; Pyranometer, Kipp & Zonen, CM22, SN 020074, WRMC No. 12013; Pyrgeometer, Eppley, PIR, SN 32802F3, WRMC No. 12011; Pyrheliometer, Kipp & Zonen, CH1, SN 960129, WRMC No. 12007; 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, 848081 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 78
    facet.materialart.
    Unknown
    Basic measurements of radiation at station Lindenberg (2010-04) (2017)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM22, SN 020073, WRMC No. 12014; Pyranometer, Kipp & Zonen, CM22, SN 020074, WRMC No. 12013; Pyrgeometer, Eppley, PIR, SN 32802F3, WRMC No. 12011; Pyrheliometer, Kipp & Zonen, CH1, SN 960129, WRMC No. 12007; 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, 820756 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 79
    facet.materialart.
    Unknown
    Basic measurements of radiation at station Lindenberg (2010-05) (2017)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM22, SN 020073, WRMC No. 12014; Pyranometer, Kipp & Zonen, CM22, SN 020074, WRMC No. 12013; Pyrgeometer, Eppley, PIR, SN 32802F3, WRMC No. 12011; Pyrheliometer, Kipp & Zonen, CH1, SN 960129, WRMC No. 12007; 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, 848157 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 80
    facet.materialart.
    Unknown
    Basic measurements of radiation at station Lindenberg (2016-01) (2017)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM22, SN 020073, WRMC No. 12014; Pyranometer, Kipp & Zonen, CM22, SN 020074, WRMC No. 12013; Pyrgeometer, Eppley, PIR, SN 32802F3, WRMC No. 12011; Pyrheliometer, Kipp & Zonen, CH1, SN 030340, WRMC No. 12016; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 807896 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 81
    facet.materialart.
    Unknown
    Basic measurements of radiation at station Lindenberg (2017-01) (2017)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM22, SN 020073, WRMC No. 12014; Pyranometer, Kipp & Zonen, CM22, SN 020074, WRMC No. 12013; Pyrgeometer, Eppley, PIR, SN 32802F3, WRMC No. 12011; Pyrheliometer, Kipp & Zonen, CH1, SN 030340, WRMC No. 12016; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 848116 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 82
    facet.materialart.
    Unknown
    Basic measurements of radiation at station Lindenberg (2016-06) (2017)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM22, SN 020073, WRMC No. 12014; Pyranometer, Kipp & Zonen, CM22, SN 020074, WRMC No. 12013; Pyrgeometer, Eppley, PIR, SN 32802F3, WRMC No. 12011; Pyrheliometer, Kipp & Zonen, CH1, SN 030340, WRMC No. 12016; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 820040 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 83
    facet.materialart.
    Unknown
    Basic measurements of radiation at station Lindenberg (2016-08) (2017)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM22, SN 020073, WRMC No. 12014; Pyranometer, Kipp & Zonen, CM22, SN 020074, WRMC No. 12013; Pyrgeometer, Eppley, PIR, SN 32802F3, WRMC No. 12011; Pyrheliometer, Kipp & Zonen, CH1, SN 030340, WRMC No. 12016; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 847396 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 84
    facet.materialart.
    Unknown
    Basic measurements of radiation at station Lindenberg (2016-07) (2017)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM22, SN 020073, WRMC No. 12014; Pyranometer, Kipp & Zonen, CM22, SN 020074, WRMC No. 12013; Pyrgeometer, Eppley, PIR, SN 32802F3, WRMC No. 12011; Pyrheliometer, Kipp & Zonen, CH1, SN 030340, WRMC No. 12016; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 838529 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 85
    facet.materialart.
    Unknown
    Basic measurements of radiation at station Lindenberg (2016-12) (2017)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM22, SN 020073, WRMC No. 12014; Pyranometer, Kipp & Zonen, CM22, SN 020074, WRMC No. 12013; Pyrgeometer, Eppley, PIR, SN 32802F3, WRMC No. 12011; Pyrheliometer, Kipp & Zonen, CH1, SN 030340, WRMC No. 12016; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 847976 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 86
    facet.materialart.
    Unknown
    Basic measurements of radiation at station Lindenberg (2017-03) (2019)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM22, SN 020073, WRMC No. 12014; Pyranometer, Kipp & Zonen, CM22, SN 020074, WRMC No. 12013; Pyrgeometer, Eppley, PIR, SN 32802F3, WRMC No. 12011; Pyrheliometer, Kipp & Zonen, CH1, SN 030340, WRMC No. 12016; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 848090 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 87
    facet.materialart.
    Unknown
    Basic measurements of radiation at station Lindenberg (2018-02) (2020)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-07-09
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM22, SN 020073, WRMC No. 12014; Pyranometer, Kipp & Zonen, CM22, SN 020074, WRMC No. 12013; Pyrgeometer, Eppley, PIR, SN 32802F3, WRMC No. 12011; Pyrheliometer, Kipp & Zonen, CH1, SN 030340, WRMC No. 12016; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 764122 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 88
    facet.materialart.
    Unknown
    Flow velocity records at Rock Glacier Outer Hochebenkar (Äußeres Hochebenkar), Ötztal, Tyrolian Alps, Austria (2016)
    PANGAEA
    In:  Supplement to: Hartl, Lea; Fischer, Andrea; Stocker-Waldhuber, Martin; Abermann, Jakob (2016): Recent speed-up of an Alpine rock glacier: an updated chronology of the kinematics of Outer Hochebenkar rock glacier based on geodetic measurements. Geografiska Annaler Series A-Physical Geography, 98(2), 129-141, https://doi.org/10.1111/geoa.12127
    Details
    Publication Date: 2024-07-09
    Description: Surface velocities have been regularly monitored at the rock glacier in Outer Hochebenkar, Ötztal Alps, Austria since the early 1950s. This study provides an update to previously published surface velocity time series, showing mean profile velocities of four cross profiles since the beginning of the measurements (1951,1954, 1997; depending on the profile), as well as single block displacements from 1998 to 2015. Profiles P1, P2 and P3 have moved between 42 and 90 m, at mean velocities between 0.70 and 1.48 m/yr, since they were first established in the early 1950s (1951/54). Profile P0, established in 1997, has since moved 13 m or 0.75 m/yr. An acceleration can be observed at all profiles since the late 1990s, with a particularly sharp velocity increase since 2010. All profiles reached a new maximum velocity in 2015, with 1.98 m/yr at the slowest profile (P0) and 6.37 m/yr at the fastest profile (P1). Year-to-year variations in profile velocities cannot be clearly attributed to inter-annual variations of climatic parameters like mean annual air temperature, summer temperature, positive degree days, or precipitation. However, higher correlation is found between velocities and cumulative anomalies of air temperature (mean annual air temperature and positive degree days) and summer precipitation, suggesting that these parameters play a key role for the movement of the rock glacier. The lower profiles (P0, P1) show more pronounced year-to-year variations than the upper profiles (P2, P3). It is considered likely that processes other than climatic forcing (e.g. sliding, topography) contribute to the different velocity patterns at the four profiles. The data series continues annually, see: doi:10.1594/PANGAEA.928244
    Type: Dataset
    Format: application/zip, 5 datasets
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 89
    facet.materialart.
    Unknown
    Global taxonomically harmonized pollen data set for Late Quaternary with revised chronologies (LegacyPollen 1.0) (2021)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: This data data set is the taxonomically harmonized pollen data from records 2831 sites. 1032 sites are located in North America, 1075 sites in Europe, 488 sites in Asia, 150 sites in South America, 54 in Africa and 32 in the Indopacific. Most of the data where retrieved from the Neotoma Paleoecology Database (https://www.neotomadb.org/), with additional data from Cao et al. (2020; https://doi.org/10.5194/essd-12-119-2020), Cao et al. (2013, https://doi.org/10.1016/j.revpalbo.2013.02.003) and our own collection for the Asian sector. The ages of the samples refer to the newly established LegacyAge 1.0 framework (https://doi.pangaea.de/10.1594/PANGAEA.933132). The 10,110 original pollen taxa names and notations were harmonized to 1002 taxa names. We present the table with the harmonization approach crossreferencing the original taxa with the harmonized taxa name. The harmonised pollen data are presented as counts (when available) and as percentage values. We complement the data publication by providing the source information on the references (most data are related to Neotoma) as a table linked to each Dataset ID. The data set and site IDs are from Neotoma if the data sets are derived from the Neotoma repository. In case of our own data collection efforts (Cao et al. (2020), Cao et al. (2013) and our own data) we used the already published PANGAEA event names in case they are related to the data or created own site names with referencing to geographical regions similar to the Neotoma data naming principle.
    Keywords: AWI_Envi; fossil pollen; Neotoma; paleoecology; Polar Terrestrial Environmental Systems @ AWI; taxonomically harmonized
    Type: Dataset
    Format: application/zip, 14 datasets
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 90
    facet.materialart.
    Unknown
    Basic measurements of radiation at station Lindenberg (1994-10 et seq) (2022)
    PANGAEA
    In:  Meteorologisches Observatorium Lindenberg - Richard-Aßmann-Observatorium
    Details
    Publication Date: 2024-07-09
    Description: This is a compilation of all short-wave and long-wave radiation datasets from Lindenberg that were and are published in the frame of BSRN. New data will be added regularly. The data are subject to the data release guidelines of BSRN (https://bsrn.awi.de/data/conditions-of-data-release/).
    Keywords: Baseline Surface Radiation Network; BSRN; Germany; LIN; Lindenberg; Monitoring station; MONS
    Type: Dataset
    Format: application/zip, 337 datasets
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 91
    facet.materialart.
    Unknown
    Automatic weather station data collected from 2003 to 2021 at the Greenland ice sheet along the K-transect, West-Greenland (2022)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: We present 18 years (2003-2021) of automatic weather station (AWS) data, collected along the K-transect near Kangerlussuaq in west Greenland. The transect runs from east to west, roughly perpendicular to the ice sheet edge at about 67° N. The K-transect originated from the Greenland Ice Margin Experiments (GIMEX), held in the summers of 1990 and 1991. Until recently, surface mass balance and ice velocity measurements were performed at nine locations along the K-transect, of which four are equipped with AWS: two in the ablation zone at approximately 500 m and 1,000 m asl, one at the approximate equilibrium-line altitude (~1,500 m asl), and one in the lower accumulation zone (~1,850 m asl) at distances of 5, 38, 88, and 140 km from the ice edge, respectively. Here, we present (mostly) half hourly UTC based AWS measurements from these four sites containing temperature/humidity, windspeed/direction, all four radiation components and atmospheric pressure. All data are corrected and quality controlled, for details about this procedure please consult doi:10.1080/15230430.2017.1420954.
    Keywords: automatic weather station; Greenland; K-transect
    Type: Dataset
    Format: application/zip, 64 datasets
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 92
    facet.materialart.
    Unknown
    Eddy-covariance measurements over The Greenland Ice Sheet (K-transect & Q-transect) and Iceland (Vatnajökull) (2022)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: Eddy-covariance observations taken over rough ice and snow surfaces on the Greenland Ice Sheet and on the Vatnajökull ice cap in Iceland between 1996 and 2021. This data contains corrected 30-min averages, variances and covariances of wind components and temperature, as well as estimated near-surface turbulent heat fluxes, roughness lengths, and other meteorological parameters measured by an adjacent automatic weather station. See README.txt for more detailed information.
    Keywords: Ablation
/Accumulation; Automatic weather station; AWS; Binary Object; Binary Object (File Size); Eddy-Covariance; Event label; Greenland; Greenland ice sheet; GRL_QASL; GRL_S10; GRL_S5; GRL_S6; GRL_SHR; Iceland; ISL_A4; ISL_A5; Location; roughness length; S10; S5; S6; turbulent fluxes; Type; Weather station/meteorological observation; West Greenland Ice Sheet; WST; Years
    Type: Dataset
    Format: text/tab-separated-values, 56 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 93
    facet.materialart.
    Unknown
    REVEALS reconstruction of past vegetation cover with original RPP values for African samples (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: This data set presents the reconstructed vegetation cover for 155 African sites based on harmonized pollen data from the data set LegacyPollen 2.0 (https://doi.pangaea.de/10.1594/PANGAEA.929773). Sugita's REVEALS model (2000) was applied to all pollen records using REVEALSinR from the DISQOVER package (Theuerkauf et al. 2016). Pollen counts were translated into vegetation cover by accounting for taxon-specific pollen productivity and fall speed. Additionally, relevant source areas of pollen were calculated using the aforementioned taxon-specific parameters and a gaussian plume model for deposition and dispersal and forest cover was reconstructed. Values for relative pollen productivity and fall speed from the synthesis from Wiezcorek and Herzschuh (2010) were used for the reconstruction of vegetation cover. The average values from all Northern Hemisphere values were used where taxon-specific continental values were not available. We present tables with reconstructed vegetation cover for all continents with original parameters. As further details we list a table with the taxon-specific parameters used and a list of parameters adjusted in the default version of REVEALSinR.
    Keywords: 02DIOGO; 02GUIERS; Abies, cover; ABIJATA_Pollen; Acacia, cover; Acanthaceae, cover; Acanthophoenix, cover; Acer, cover; Achariaceae, cover; Acridocarpus, cover; Adansonia, cover; Adenanthera, cover; Adenium, cover; Adenocarpus, cover; Adina, cover; Afraegle, cover; Africa; Afzelia, cover; AH1_Pollen; AH2_Pollen; Aidia, cover; Aizoaceae, cover; Alangium, cover; ALB3PC; ALBATROS_Pollen; ALBITR1; ALBITR2; Albitrunca Cliff; Albizia, cover; Alchornea, cover; Algeria; Allophylus, cover; Alnus, cover; Alstonia, cover; Amanoa, cover; Amaranthaceae, cover; Amaryllidaceae, cover; Anacardiaceae, cover; Anacardium, cover; ANDOLO; Androstachys, cover; Annona, cover; Annonaceae, cover; Anogeissus, cover; Anopyxis, cover; ANS_Pollen; Anthocleista, cover; Anthostema, cover; Antiaris, cover; Antidesma, cover; Antrocaryon, cover; Aphania, cover; Aphloia, cover; Apiaceae, cover; Apocynaceae, cover; Apodytes, cover; Araceae, cover; Araliaceae, cover; Arbutus, cover; Ardisia, cover; Area; Arecaceae, cover; Argania, cover; Argomuellera, cover; Artemisia, cover; Ascarina, cover; Asparagaceae, cover; Asphodelaceae, cover; Asteraceae, cover; Avicennia, cover; AWI_Envi; BADDA; Badda bog; Baikiaea, cover; BAL_Pollen; Balanites, cover; Balsaminaceae, cover; BAMBILI1; Bambili 1; BAMBILI2; Bambili 2; Baphia, cover; Barbeya, cover; Barringtonia, cover; Basellaceae, cover; BASESECT_Pollen; Basin; Bauhinia, cover; Begoniaceae, cover; BEK_Pollen; BEMBA_Pollen; Berberidaceae, cover; Bergia, cover; Berlinia, cover; Bersama, cover; Bertiera, cover; Betula, cover; Bignoniaceae, cover; Bismarckia, cover; Blighia, cover; Bois de Bilanko; Bombax, cover; Boraginaceae, cover; Borassus, cover; Boscia, cover; Boswellia, cover; BOURDIM; Bourdim, Algeria; Brachylaena, cover; Brachystegia, cover; Brachystephanus, cover; Brassicaceae, cover; Bridelia, cover; Brucea, cover; Bruniaceae, cover; BSM97_Pollen; Buddleja, cover; Burkea, cover; Burseraceae, cover; Buxus, cover; Cadaba, cover; Caesalpinia, cover; Calculated average/mean values; CALDERIL_Pollen; Calendar age, maximum/old; Calendar age, mean; Calendar age, median; Calendar age, minimum/young; Calostephane, cover; Campanulaceae, cover; Campylospermum, cover; Canarium, cover; Cannabaceae, cover; Canthium, cover; Capparaceae, cover; Capparis, cover; Caprifoliaceae, cover; Carapa, cover; Carissa, cover; Carya, cover; Caryophyllaceae, cover; Casearia, cover; Cassia, cover; Cassine, cover; Cassipourea, cover; Castanea, cover; Casuarina, cover; Catha, cover; Catunaregam, cover; Cedrus, cover; Ceiba, cover; Celastraceae, cover; Celtis, cover; Ceratonia, cover; Cercestis, cover; CH22KW31_Pollen; Chaetachme, cover; Chionanthus, cover; Chrysobalanus, cover; Chrysophyllum, cover; Chytranthus, cover; Cistaceae, cover; Citrus, cover; Clausena, cover; Cleistanthus, cover; Cleomaceae, cover; Clerodendrum, cover; Cliffortia, cover; Clusiaceae, cover; Cocculus, cover; Cochlospermum, cover; Cocos, cover; Coffea, cover; Cola, cover; Colchicaceae, cover; Colophospermum, cover; Combretaceae, cover; Combretum, cover; Commelinaceae, cover; Commiphora, cover; COMPCORE; Composite Core; Connaraceae, cover; Continent; Convolvulaceae, cover; Copaifera, cover; CORAF; CORAF2; CORAFT; Cordia, cover; Core; CORE; CoreS2; CoreS6; CoreS7; CoreS8; Cornus, cover; Corylus, cover; Coula, cover; CRAIG; Craigrossie; Crassulaceae, cover; Crateva, cover; Crudia, cover; Cucurbitaceae, cover; Cunoniaceae, cover; Cupressaceae, cover; Cupressus, cover; Cussonia, cover; Cylicodiscus, cover; Cylicomorpha, cover; Cynometra, cover; Cyperaceae, cover; Cytinaceae, cover; Dacryodes, cover; Dalbergia, cover; Daniellia, cover; DARFATMA; Dar Fatma, Tunisia; Dasylepis, cover; Data ID; DEELMER1_Pollen; Deinbollia, cover; Delonix, cover; DEPTH, sediment/rock; Detarium, cover; Deva-Deva; DEVA-DEVA; Dialium, cover; Diameter; Dichapetalaceae, cover; Dichrostachys, cover; Dictyosperma, cover; Didiereaceae, cover; Dilleniaceae, cover; Diogo; Dioscoreaceae, cover; Diospyros, cover; Dipsacaceae, cover; Dipterocarpaceae, cover; Djebel El Ghorra, Tunisia; Dobera, cover; Dodonaea, cover; Dombeya, cover; Dracaena, cover; Driehoek; Drypetes, cover; Dypsis, cover; E4_Pollen; E96-1P; E96-5M; Ebenaceae, cover; Ehretia, cover; Ekebergia, cover; Elaeagnaceae, cover; Elaeis, cover; Elaeocarpaceae, cover; Elaeocarpus, cover; Elaeophorbia, cover; ELANDSBA_Pollen; ELIMSEQ; Elim Swamp; ELKHALED; Englerophytum, cover; Entada, cover; Entandrophragma, cover; Ephedra, cover; Ephedraceae, cover; Ericales, cover; Eriocoelum, cover; Erythrina, cover; Erythrococca, cover; Erythrophleum, cover; Erythroxylum, cover; ESAMBU_Pollen; ETEZA_Pollen; Eucalyptus, cover; Euclea, cover; Eugenia, cover; Euphorbiaceae, cover; EV11_Pollen; EV13; Event label; Excoecaria, cover; Fabaceae, cover; Fadogia, cover; Fagaropsis, cover; Fagus, cover; Faidherbia, cover; Faurea, cover; Ficalhoa, cover; Ficus, cover; FILIM_Pollen; Flacourtia, cover; FLECK_Pollen; Fleroya, cover; Flueggea, cover; Foetidia, cover; Forest, cover; fossil pollen; FPORTAL2_Pollen; Frankeniaceae, cover; Fraxinus, cover; Funtumia, cover; Gaertnera, cover; GALINHA_Pollen; GAMA2_Pollen; GAMA4_Pollen; Ganophyllum, cover; Garaat El-Ouez, Algeria; GARATOUE; Garcinia, cover; Gardenia, cover; GDV4; Genista, cover; Gentianaceae, cover; Geraniaceae, cover; Gesneriaceae, cover; GHORRA01; Ghorra I; Gilbertiodendron, cover; Glenniea, cover; Grewia, cover; GROOTDRIFT; Grootdrift - Verlorenvlei; Guibourtia, cover; Guiera, cover; Gunneraceae, cover; Gymnosporia, cover; Gyrocarpus, cover; HACHLAF1_Pollen; Haematostaphis, cover; Hagenia, cover; Hamamelidaceae, cover; Harrisonia, cover; HARUB2; Harubes; Harungana, cover; HAWA_Pollen; Heisteria, cover; Heliotropium, cover; Heteropterys, cover; Hevea, cover; Hildegardia, cover; HL_Pollen; Holoptelea, cover; Homalium, cover; Hydroleaceae, cover; Hylodendron, cover; Hymenocardia, cover; Hymenodictyon, cover; Hymenostegia, cover; Hyophorbe, cover; Hypericaceae, cover; Hyphaene, cover; Icacinaceae, cover; IKIMBA2_Pollen; Ilex, cover; Illigera, cover; Indeterminable, cover; Indigofera, cover; Iridaceae, cover; Irvingia, cover; Isoberlinia, cover; Ixora, cover; JIKARIYA_Pollen; Juglans, cover; Julbernardia, cover; Juncaceae, cover; Juniperus, cover; KA1; KA3; KAI_Pollen; KAJ_Pollen; Kashiru_Bog_Pollen; Kashiru Swamp; KAVITAHA_Pollen; KH3_Pollen; KH4_Pollen; KHATU_Pollen; Khaya, cover; KIG2_Pollen; Kigelia, cover; Kiggelaria, cover; KIMILIA_Pollen; KIMILIB_Pollen; Kirkia, cover; Kitumbako; KITUMBAKO; KLAARFONT; Klaarfontein Springs; KN1A_Pollen; KOITOBOS_Pollen; KT3_Pollen; KUL_Pollen; LABOOTA_Pollen; Labourdonnaisia, cover; Lake Albert WHOI core 3PC; Lake Andolonomby; Lake Edward; Lake Eilandvlei; Lake Guiers; Lake Malawi MAL05-2; Lake Tritrivakely; Lamiaceae, cover; Lannea, cover; Lasianthus, cover; Lasiodiscus, cover; Latania, cover; LATITUDE; Lauraceae, cover; Laurus, cover; Lawsonia, cover; Lecythidaceae, cover; Lepisanthes, cover; Leptaulus, cover; Leucosidea, cover; LH1; LH3; Liliaceae, cover; Limeaceae, cover; Linaceae, cover; Linderniaceae, cover; Livingstone piston sampler; LKMBTU5_Pollen; Location ID; Loesenera, cover; Lonchocarpus, cover; LONGITUDE; Lophira, cover; Lovoa, cover; LPOUL_Pollen; LPS; LT1_Pollen; LT84-8P_Pollen; LT9812M_Pollen; LT9837M_Pollen; LT9858M_Pollen; Lumnitzera, cover; Lythraceae, cover; Macaranga, cover; Maclura, cover; Maerua, cover; Maesa, cover; Maesopsis, cover; MAHOMA; Mahoma Lake; Majen Ben Hmida, Tunisia; Majen El Orbi, Tunisia; MAJENHMI; Majidea, cover; MAJORBOG; MAJORMAR; MAL05-2A; MALAHLAPAN; Malahlapanga; Mallotus, cover; Malpighiaceae, cover; Malvaceae, cover; Mangifera, cover; Manilkara, cover; Mansonia, cover; Maprounea, cover; Maranthes, cover; Mare aux Songes; Mare dOursi; Margaritaria, cover; Markhamia, cover; Martretia, cover; MARURA_Pollen; MAS1TR4C3; MASOKO_Pollen; Maytenus, cover; MBALA_Pollen; MBORO_Pollen; Median values; Melastomataceae, cover; Meliaceae, cover; Melochia, cover; Menispermaceae,
    Type: Dataset
    Format: text/tab-separated-values, 19077771 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 94
    facet.materialart.
    Unknown
    Water chemistry of Lagrangian samplings of Inland Elbe 2022 (MOSES Hydrological Extremes) (2023)
    PANGAEA
    In:  Helmholtz Centre for Environmental Research - UFZ
    Details
    Publication Date: 2024-07-09
    Description: The MOSES campaign ELBE 2022 covered the Czech freshwater Elbe, the German freshwater part, the tidal Elbe river, and the German Bight. Thus, the complete gradient from source to sea was investigated for the first time. The sampling will be conducted in a Langrangian way according to flow velocity. In the German freshwater Elbe, physico-chemical and biological parameters will be measured along the Elbe using the research vessel ALBIS from Schmilka (km 4, German border) to Geestacht (km 585, close to Hamburg). A particular scientific focus was on (1) composition of dissolved organic matter measured by high-resolution mass specrometry, (2) investigation of zooplankton besides bacteria and algae, and (3) greenhouse gas measurements in water and air (the latter was investigated in more detail during an addition campaing in Tangermünde in August 2022).
    Keywords: 2022ELBE_el00400l; 2022ELBE_el00400m; 2022ELBE_el00400r; 2022ELBE_el05450l; 2022ELBE_el05450m; 2022ELBE_el05450r; 2022ELBE_el08800l; 2022ELBE_el08800m; 2022ELBE_el08800r; 2022ELBE_el10700l; 2022ELBE_el10700m; 2022ELBE_el10700r; 2022ELBE_el15450l; 2022ELBE_el15450m; 2022ELBE_el15450r; 2022ELBE_el17200m; 2022ELBE_el17200r; 2022ELBE_el17260l; 2022ELBE_el19900muend; 2022ELBE_el25800l; 2022ELBE_el25800m; 2022ELBE_el25800r; 2022ELBE_el25900muend; 2022ELBE_el28700l; 2022ELBE_el28700m; 2022ELBE_el28700r; 2022ELBE_el29070muend; 2022ELBE_el31800l; 2022ELBE_el31800m; 2022ELBE_el31800r; 2022ELBE_el32653l; 2022ELBE_el32653m; 2022ELBE_el32653r; 2022ELBE_el35100l; 2022ELBE_el35100m; 2022ELBE_el35100r; 2022ELBE_el38800l; 2022ELBE_el38800m; 2022ELBE_el38800r; 2022ELBE_el42225l; 2022ELBE_el42225m; 2022ELBE_el42225r; 2022ELBE_el43800muend; 2022ELBE_el45490l; 2022ELBE_el45490m; 2022ELBE_el45490r; 2022ELBE_el47500l; 2022ELBE_el47500m; 2022ELBE_el47500r; 2022ELBE_el50600l; 2022ELBE_el50600m; 2022ELBE_el50600r; 2022ELBE_el53600l; 2022ELBE_el53600m; 2022ELBE_el53600r; 2022ELBE_el57040l; 2022ELBE_el57040m; 2022ELBE_el57040r; 2022ELBE_el58550l; 2022ELBE_el58550m; 2022ELBE_el58550r; Albis; Ammonium molybdate spectrometric method; Ammonium-nitrogen; Area/locality; Arsenic, dissolved; Arsenic, total; Base capacity 4.3; Base capacity 8.2; Breitenhagen links; Breitenhagen mitte; Breitenhagen rechts; Carbon, organic, dissolved; Carbon, organic, particulate; Carbon dioxide; CFA; Chlorophyll a; Conductivity, electrical; Continuous Flow Analysis; DATE/TIME; Distance; Doemitz links; Doemitz Mitte; Doemitz rechts; Dommitzsch links; Dommitzsch Mitte; Dommitzsch rechts; Dresden Carolabruecke links; Dresden Carolabruecke Mitte; Dresden Carolabruecke rechts; Elbe; Event label; Gas chromatograph (8610C, SRI Instruments, Torrance, USA); Geestacht links; Geestacht rechts; Geesthacht Mitte; greenhouse gas; Havel Muendung; HPLCO; ICP-OES; InfraRed sensor detection according to DIN EN 1484:1997 DE; Iron, dissolved; Iron, total; LATITUDE; Lauenburg links; Lauenburg Mitte; Lauenburg rechts; Lead, dissolved; Lead, total; LONGITUDE; Magdeburg Neue Strombruecke links; Magdeburg Neue Strombruecke Mitte; Magdeburg Neue Strombruecke rechts; Manganese, dissolved; Manganese, total; Mercury, total; Methane; Modular Observation Solutions for Earth Systems; MOSES; MOSES_2022_Elbe-NorthSea; MOSES_2022_Elbe-NorthSea_Inland; Mulde Muendung; MULT; Multiparameter probe, YSI Xylem Inc., EXO2; Multiple investigations; Neu Darchau links; Neu Darchau mitte; Neu Darchau rechts; Nitrate-nitrogen; Nitrite-nitrogen; Nitrogen, organic, particulate; Nitrous oxide; Nutrients; Oxygen saturation; pH; Phosphorus, reactive soluble; Phosphorus, total; Pigments analysis by HPLC (UV and FLD); Riesa Bruecke links; Riesa Bruecke Mitte; Riesa Bruecke rechts; river; Rogaetz links; Rogaetz mitte; Rogaetz rechts; Rosslau links; Rosslau Mitte; Rosslau rechts; Saale Muendung; Schmilka links; Schmilka mitte; Schmilka rechts; Schnackenburg links; Schnackenburg mitte; Schnackenburg rechts; Schwarze Elster Muendung; Segmented flow analysis according to DIN EN ISO 13395:1996-12; Silicon; Tangermuende links; Tangermuende Mitte; Tangermuende rechts; Temperature, water; Torgau Bruecke links; Torgau Bruecke Mitte; Torgau Bruecke rechts; Turbidity (Nephelometric turbidity unit); Werben links; Werben Mitte; Werben rechts; Westerhuesen links; Westerhuesen Mitte; Westerhuesen rechts; Wittenberge, links; Wittenberge, mitte; Wittenberge, rechts; Zehren links; Zehren mitte; Zehren rechts
    Type: Dataset
    Format: text/tab-separated-values, 2011 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 95
    facet.materialart.
    Unknown
    REVEALS reconstruction of past vegetation cover with original RPP values for South American samples (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: This data set presents the reconstructed vegetation cover for 173 South American sites based on harmonized pollen data from the data set LegacyPollen 2.0 (https://doi.pangaea.de/10.1594/PANGAEA.929773). Sugita's REVEALS model (2000) was applied to all pollen records using REVEALSinR from the DISQOVER package (Theuerkauf et al. 2016). Pollen counts were translated into vegetation cover by accounting for taxon-specific pollen productivity and fall speed. Additionally, relevant source areas of pollen were calculated using the aforementioned taxon-specific parameters and a gaussian plume model for deposition and dispersal and forest cover was reconstructed. Values for relative pollen productivity and fall speed from the synthesis from Wiezcorek and Herzschuh (2010) were used for the reconstruction of vegetation cover. The average values from all Northern Hemisphere values were used where taxon-specific continental values were not available. We present tables with reconstructed vegetation cover for all continents with original parameters. As further details we list a table with the taxon-specific parameters used and a list of parameters adjusted in the default version of REVEALSinR.
    Keywords: Abatia, cover; Acacia, cover; Acanthaceae, cover; ACARABIX; Acer, cover; Achatocarpus, cover; Acnistus, cover; Adelobotrys, cover; Adenanthera, cover; Aextoxicon, cover; Aguilar; AGUILAR; Alchornea, cover; Alchorneopsis, cover; Aldina, cover; Alibertia, cover; Allophylus, cover; Alnus, cover; Aloysia, cover; ALSACIA; Alstroemeriaceae, cover; Amaioua, cover; Amaranthaceae, cover; Amarete; AMARETE; Amaryllidaceae, cover; Ampelocera, cover; Anacardiaceae, cover; Anacardium, cover; Anadenanthera, cover; Andabobos; ANDABOBS; Andira, cover; Anemopaegma, cover; ANGEL_neotoma; ANGEL, Laguna Angel; Aniba, cover; Annona, cover; Annonaceae, cover; Anthodiscus, cover; Aparisthmium, cover; Apeiba, cover; Apiaceae, cover; Apocynaceae, cover; Aquifoliaceae, cover; AQUIRI; Araceae, cover; Araliaceae, cover; Araucaria, cover; Ardisia, cover; Area; Arecaceae, cover; Aristotelia, cover; Arrabidaea, cover; Artemisia, cover; Asparagaceae, cover; Aspidosperma, cover; Asteliaceae, cover; Asteraceae, cover; Asterales, cover; Astrocaryum, cover; Astronium, cover; Attalea, cover; Austrocedrus, cover; AVICENNIA; Avicennia, cover; AWI_Envi; Azara, cover; Bactris, cover; Balanophoraceae, cover; Balfourodendron, cover; Balsaminaceae, cover; Banara, cover; Basin; Bataceae, cover; Bauhinia, cover; Begoniaceae, cover; BELLVIS_Pollen; Berberidaceae, cover; Bertiera, cover; Betula, cover; Betulaceae, cover; Bignoniaceae, cover; Billia, cover; Bixaceae, cover; Blepharandra, cover; BOAVISTA; Bocoa, cover; Bombacopsis, cover; Bombax, cover; Bonnetiaceae, cover; Boquillas; BOQUILLAS; Boraginaceae, cover; Boscia, cover; Bosque de Avicennia; Bougainvillea, cover; Bowdichia, cover; Brassicaceae, cover; Bromeliaceae, cover; Brosimum, cover; Broussonetia, cover; Brownea, cover; Brunellia, cover; Buddleja, cover; Bunchosia, cover; Burmanniaceae, cover; Bursera, cover; Burseraceae, cover; Byrsonima, cover; CABOSQUE; Cabralea, cover; Cactaceae, cover; Caesalpinia, cover; CAIMITO; CAJANUMA_Pollen; CALACONT; Cala Conto; Calceolariaceae, cover; Calculated average/mean values; Calendar age, maximum/old; Calendar age, mean; Calendar age, median; Calendar age, minimum/young; Calliandra, cover; Calophyllaceae, cover; Calophyllum, cover; Calyceraceae, cover; Calycolpus, cover; Calycophyllum, cover; Campanulaceae, cover; Campnosperma, cover; Campomanesia, cover; Campo Salgado; Campsiandra, cover; Canal de la Puntilla; Cannabaceae, cover; Capparaceae, cover; Capparis, cover; Caprifoliaceae, cover; CAR982L; CARANA; CARANGAM_Pollen; Carapa, cover; CARIMAGUA; Cariniana, cover; Caryocar, cover; Caryocaraceae, cover; Caryophyllaceae, cover; CASANOVA; Casearia, cover; Cassia, cover; Cassipourea, cover; Castela, cover; Castilla, cover; Casuarina, cover; Catostemma, cover; CAUNAHU1; Caunahue; Cavanillesia, cover; Cayambe; CAYAMBE; Cecropia, cover; Cedrela, cover; Ceiba, cover; Celastraceae, cover; Celtis, cover; Centrolobium, cover; Ceroxylon, cover; Cerro Calvario; Cerro Toledo; CERTOCTB; CERTOLCT; CHACALT1; CHACALT2; Chacaltaya 1; Chacaltaya 2; CHALALAN; Chamaedorea, cover; CHAPLIN_Pollen; Cheiloclinium, cover; Chelyocarpus, cover; CHENEVO; Chloranthaceae, cover; CHOCHOS; Chor; Chorreras; Chrysobalanaceae, cover; Chrysobalanus, cover; Chrysophyllum, cover; CIEGAIII; Ciénaga del Visitador; Cistaceae, cover; Citrus, cover; CLARENCE; Cleidion, cover; Cleomaceae, cover; Clethra, cover; Clethraceae, cover; Clusia, cover; Clusiaceae, cover; COCALVAR; Coccoloba, cover; COCHACAR; Cochlospermum, cover; Codia, cover; COLOCO3_Pollen; Colubrina, cover; Columelliaceae, cover; Combretaceae, cover; Combretum, cover; Commelinaceae, cover; CONDOR; Connaraceae, cover; Connarus, cover; CONSUELO1; CONSUELO2; Continent; Convolvulaceae, cover; Copaifera, cover; Copernicia, cover; COR300_Pollen; Cordia, cover; Cordón Serrucho Norte wetland; Coriariaceae, cover; Corylus, cover; Costaceae, cover; COTAPAMP; Cotapampa; Couepia, cover; Couratari, cover; Coutarea, cover; Crassulaceae, cover; Crescentia, cover; Crudia, cover; Cryosophila, cover; CTIGRE_Pollen; Cucurbitaceae, cover; CUEVAHAI; Cueva Haichol; CUEVAMIL; Cueva Milodon; CUMBREUN; Cumbre Unduavi; Cunoniaceae, cover; Cupania, cover; Cupressaceae, cover; CURUCAA; CURUCAB; Cybianthus, cover; Cyclanthaceae, cover; Cyperaceae, cover; Cyrilla, cover; Dacrydium, cover; Dacryodes, cover; Dalbergia, cover; Daphnopsis, cover; DASPATAS; Dasyphyllum, cover; Data ID; Dendropanax, cover; DEPTH, sediment/rock; Diameter; Dichapetalaceae, cover; Dictyocaryum, cover; Didymopanax, cover; Dilleniaceae, cover; Dinizia, cover; Dioscoreaceae, cover; Diospyros, cover; Discaria, cover; Dodonaea, cover; Drimys, cover; Duroia, cover; ECSF_CON; Ecuadorian Andes; EL_PINAL; Elaeagia, cover; Elaeagnus, cover; Elaeocarpaceae, cover; Elaeoluma, cover; ELJUNCO; El Patia-1; El Patía-2; ELTIRO; EL Tiro-Pass; Embothrium, cover; Emmotum, cover; Encelia, cover; Endopleura, cover; Entada, cover; Ephedra, cover; Ericales, cover; Eriotheca, cover; Erisma, cover; Erythrina, cover; Erythroxylaceae, cover; Erythroxylum, cover; Escallonia, cover; Escalloniaceae, cover; Eschweilera, cover; Esenbeckia, cover; Estación Científica San Francisco Cerro de Consuel; Eucalyptus, cover; Eucryphia, cover; Eugenia, cover; Euphorbiaceae, cover; Euterpe, cover; Event label; Fabaceae, cover; Fabales, cover; Faramea, cover; Ferdinandusa, cover; Ficus, cover; Fitzroya, cover; FLAMENGO; FONT; Forest, cover; fossil pollen; Francoaceae, cover; Fraxinus, cover; Froesiodendron, cover; Fuchsia, cover; FUQUENE2; FURCHATO; Furo do Chato; Gaiadendron, cover; Garcinia, cover; GARIBALD; Geissanthus, cover; Genipa, cover; Gentianaceae, cover; GEOB16205_Pollen; GEOB2107-3_Pollen; Geonoma, cover; GERAIS; Geraniaceae, cover; Gesneriaceae, cover; Gevuina, cover; GOBER; Godoya, cover; Gomortega, cover; Gordonia, cover; Goupia, cover; GRANJA; Griselinia, cover; Grossulariaceae, cover; Guarea, cover; Guatteria, cover; Guazuma, cover; Guettarda, cover; Gunneraceae, cover; Gustavia, cover; HARBERT; Harberton; Havardia, cover; Hedyosmum, cover; Heisteria, cover; Helicostylis, cover; Helicteres, cover; Heliocarpus, cover; Heliotropium, cover; Herrania, cover; HERRERA; Hesperomeles, cover; Heteropterys, cover; Hieronyma, cover; Himatanthus, cover; Hippomane, cover; Hirtella, cover; HUALAHUE; HUILA; Humiriaceae, cover; Hura, cover; Hydrangea, cover; Hydrangeaceae, cover; Hydrogaster, cover; Hymenaea, cover; Hypericaceae, cover; Icacinaceae, cover; Ilex, cover; Indeterminable, cover; Indigofera, cover; Inga, cover; Iriartea, cover; Iriartella, cover; Iridaceae, cover; Iryanthera, cover; Isertia, cover; Isla Clarence; ITAPEVA; Ixora, cover; Jacaranda, cover; Juglandaceae, cover; Juglans, cover; Juncaceae, cover; Juniperus, cover; KATANTI; Katantica; Kielmeyera, cover; Krameriaceae, cover; KUMPAKA_Pollen; LACHONTA1; La Chonta Bog; Lacistema, cover; Lacmellea, cover; LACOCHA3; Laetia, cover; Lafoensia, cover; Lagoa Campestre de Salitre; Lagoa da Curuça; Lagoa das Patas; Lago Cardiel; Lago do Aquiri; Lago do Pires; Lago Huala Hué; Lago Mascardi-Gutierrez; LAGOMOR1; Lago Moreno; Lago Mosquito; Lago Rogaguado; Lago Theobald; LAGSAL; Laguna Carimagua; Laguna Carimagua-Bosque; Laguna Chenevo; Laguna Ciega; Laguna Cocha Caranga; Laguna de Chochos; Laguna de Fúquene; Laguna De La Cocha; Laguna de la Herrera; Laguna del Cóndor; Laguna del Maule; Laguna de los Bobos; Laguna El Caimito; Laguna El Junco; Laguna El Piñal; Laguna el Trébol; Laguna Gobernador; Laguna Granja; Laguna Huatacocha; Laguna Jeronimo; Laguna Junín; Laguna La Pava; Laguna La Primavera; Laguna Las Margaritas; Laguna Loma Linda; Laguna Mandioré; Laguna Milloc; Laguna Mozambique; Laguna Negra de Alsacia; Laguna Orícore; Laguna Padre Laguna; Laguna Pallcacocha; Laguna Piusbi [Laguna El Trueno]; Laguna Pomacocha; Laguna Rabadilla de Vaca; Laguna Salinas; Laguna Sardinas; Laguna Tuctua; Laguna Zurita; Laguncularia, cover; Lake Acarabixi; Lake Caranã; Lake Chalalán; Lake Consuelo; Lake Huila; Lake Refugio 1; Lake
    Type: Dataset
    Format: text/tab-separated-values, 25495278 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 96
    facet.materialart.
    Unknown
    Hornsund DEM - orthomosaics and Digital Elevation Models from the vicinity of the Polish Polar Station Hornsund, Spitsbergen, Svalbard (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: In the age of remote sensing, particularly with new generation Uncrewed Aerial Vehicles (UAVs), there is a broad spectrum of applications, especially in remote and rapidly changing areas such as the Arctic. Due to challenging conditions in this region, there is a scarcity of detailed spatial studies with data that may be used to estimate changes in glacier volume and geomorphological changes caused by permafrost freeze–thaw cycles. Drone-based Digital Elevation Models (DEM) offer a finer spatial resolution with higher accuracy than airborne and satellite-based products that can be used for acquiring, interpreting, and precisely representing spatial data in broad studies. In this study, we evaluate a UAV-based DEM of two High Arctic catchments, Fuglebekken and Ariebekken, located on Spitsbergen Island. The surveys were carried out in July 2022 using a DJI Matrice 300 RTK drone equipped with a photogrammetric Zenmuse P1 camera. A total of 371 images were taken, covering an area of 7.81 km2. The DEM was created by the Structure-from-Motion technique and achieved a centimetre-level accuracy by overlapping very high-resolution images. The final resolution of the DEM was found to be 0.06 m in Fuglebekken and 0.07 m in Ariebekken, with a horizontal and vertical RMSE of 0.09 m and 0.20 m, respectively.
    Keywords: File content; Hornsund; North Greenland Sea; Raster graphic, GeoTIFF format; Raster graphic, GeoTIFF format (File Size)
    Type: Dataset
    Format: text/tab-separated-values, 8 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 97
    facet.materialart.
    Unknown
    Shipboard ADCP current measurements (75 kHz) during RV SONNE cruise SO299/2 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: Current velocities of the upper water column along the cruise track of R/V Sonne cruise SO299/2 were collected by a vessel-mounted 75 kHz RDI Ocean Surveyor ADCP. The ADCP transducer was located at 6.0 m below the water line. The instrument was operated in narrowband mode (WM10) with a bin size of 8.00 m, a blanking distance of 8.00 m, and a total of 100 bins, covering the depth range between 22.0 m and 814.0 m. Heading, pitch and roll data from the ship's motion reference unit and the navigation data from the Global Positioning systems were used by the data acquisition software VmDAS internally to convert ADCP velocities into earth coordinates. The ship's velocity was calculated from position fixes obtained by the Global Positioning System (GPS). Accuracy of the ADCP velocities mainly depends on the quality of the position fixes and the ship's heading data. Further errors stem from a misalignment of the transducer with the ship's centerline. Data post-processing included water track calibration of the misalignment angle (0.0830° +/- 0.4577°) and scale factor (0.9966 +/- 0.0102) of the Ocean Surveyor signal. The velocity data were averaged in time using an average interval of 120 s. Velocity quality flagging is based on following threshold criteria: abs(UC) or abs(VC) 〉 1.5 m/s, rms(UC_z) or rms(VC_z) 〉 0.3.
    Keywords: Current velocity, east-west; Current velocity, north-south; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Echo intensity, relative; LATITUDE; LONGITUDE; Pings, averaged to a double ensemble value; Quality flag, current velocity; REE‐T, BIO-OPS_2023; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); SO299/2; SO299/2_0_Underway-7; Sonne_2; Vessel mounted Acoustic Doppler Current Profiler [75 kHz]; VMADCP-75
    Type: Dataset
    Format: text/tab-separated-values, 2143110 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 98
    facet.materialart.
    Unknown
    Carbon compounds, methane concentration and nutritional composition of water samples along the Elbe to the North Sea (German Bight) during the MOSES projects' Sternfahrt 9 in 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: The "Sternfahrt 9" cruise was conducted from the 30th of May to the 2nd of June 2022, covering a late spring situation in the German Bight. The three participating vessels (Littorina, Uthörn and Ludwig Prandtl) covered a wide range from 7.6°E to 8.9°E and from 53.5°N to 54.8°N, following similar tracks and sampling stations like those of the "Sternfahrt 5" in September 2020. Objective of this cruise was to get new insights on the chemical transformation of Chlorophyll-a and dissolved organic matter from the Elbe, Tide-Elbe and North Sea. Therefore, each ship was continuously measuring different hydrographic parameters and greenhouse gases along their tracks (not included in the present dataset, please see article(s) 'related to'). Additionally, each day eight stations were run by the crews along their respective track (for a more detailed description see 'file description'). Thus, delivering discrete water samples for later analyses of DIC, TA, DOC, methane, nutrients and explosive metals. Due to partly bad weather not always all stations could be realized. While the vessel Littorina covered the south eastern part of the German Bight, the Ludwig Prandtl went further North until the small island Amrum. The Uthörn instead sampled on one side in the north of Heligoland and on the other side in the south and south-west towards Cuxhaven (see map in 'additional metadata'). For more detailed information about the MOSEShx campaign and the cruise Sternfahrt 9, see article cited in references.
    Keywords: Alfred-Wegener-Institute; Alkalinity, total; Ammonium; Carbon, organic, dissolved; Carbon, organic, particulate; Carbon cycle; Chlorophyll a; chlorophyll-a; DATE/TIME; DEPTH, water; DOC; Elbe; Event label; Geomar; German Bight; Helgoland; Hereon; KON_stern_9_P-1; KON_stern_9_P-10; KON_stern_9_P-11; KON_stern_9_P-12; KON_stern_9_P-13; KON_stern_9_P-14; KON_stern_9_P-15; KON_stern_9_P-16; KON_stern_9_P-17; KON_stern_9_P-18; KON_stern_9_P-19; KON_stern_9_P-2; KON_stern_9_P-20; KON_stern_9_P-21; KON_stern_9_P-22; KON_stern_9_P-23; KON_stern_9_P-24; KON_stern_9_P-25; KON_stern_9_P-26; KON_stern_9_P-27; KON_stern_9_P-3; KON_stern_9_P-4; KON_stern_9_P-5; KON_stern_9_P-6; KON_stern_9_P-7; KON_stern_9_P-8; KON_stern_9_P-9; L-01; L-02; L-03; L-04; L-05; L-06; L-07; L-08; L-09; L-10; L-11; L-12; L-13; L-14; L-15; L-16; L-17; L-18; L-19; L-20; L-21; L-22; L22_stern_9_L-01; L22_stern_9_L-02; L22_stern_9_L-03; L22_stern_9_L-04; L22_stern_9_L-05; L22_stern_9_L-06; L22_stern_9_L-07; L22_stern_9_L-08; L22_stern_9_L-09; L22_stern_9_L-10; L22_stern_9_L-11; L22_stern_9_L-12; L22_stern_9_L-13; L22_stern_9_L-14; L22_stern_9_L-15; L22_stern_9_L-16; L22_stern_9_L-17; L22_stern_9_L-18; L22_stern_9_L-19; L22_stern_9_L-20; L22_stern_9_L-21; L22_stern_9_L-22; L22_stern_9_L-23; L22_stern_9_L-24; L-23; L-24; LATITUDE; Littorina; LONGITUDE; Ludwig Prandtl; Methane; Modular Observation Solutions for Earth Systems; MOSES; MOSES_2022_Elbe-NorthSea; MOSES_2022_Elbe-NorthSea_KON1; MOSES_2022_Elbe-NorthSea_L1; MOSES_2022_Elbe-NorthSea_UT1; Name; Nitrate; Nitrite; Nitrogen, organic, total; Nitrogen, total dissolved; Nitrogen oxide; North Sea; nutrients; P-1; P-10; P-11; P-12; P-13; P-14; P-15; P-16; P-17; P-18; P-19; P-2; P-20; P-21; P-22; P-23; P-24; P-25; P-26; P-27; P-3; P-4; P-5; P-6; P-7; P-8; P-9; Phosphate; POC; Principal investigator; Silicate; Station label; TA alkalinity; Tide Elbe; U1; U10; U11; U12; U13; U14; U15; U16; U17; U18; U19; U2; U20; U21; U22; U23; U24; U25; U26; U27; U28; U29; U3; U4; U5; U6; U7; U8; U9; UT2022_stern_9_U-1; UT2022_stern_9_U-10; UT2022_stern_9_U-11; UT2022_stern_9_U-12; UT2022_stern_9_U-13; UT2022_stern_9_U-14; UT2022_stern_9_U-15; UT2022_stern_9_U-16; UT2022_stern_9_U-17; UT2022_stern_9_U-18; UT2022_stern_9_U-19; UT2022_stern_9_U-2; UT2022_stern_9_U-20; UT2022_stern_9_U-21; UT2022_stern_9_U-22; UT2022_stern_9_U-23; UT2022_stern_9_U-24; UT2022_stern_9_U-25; UT2022_stern_9_U-26; UT2022_stern_9_U-27; UT2022_stern_9_U-28; UT2022_stern_9_U-29; UT2022_stern_9_U-3; UT2022_stern_9_U-4; UT2022_stern_9_U-5; UT2022_stern_9_U-6; UT2022_stern_9_U-7; UT2022_stern_9_U-8; UT2022_stern_9_U-9; Uthörn; Water sample; Water samples; WS
    Type: Dataset
    Format: text/tab-separated-values, 1127 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 99
    facet.materialart.
    Unknown
    Prokariotic abundances during a multi-stressor aquaria experiment with the cold-water coral Dendrophyllia cornigera (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: A 9-month aquarium experiment with the cold-water Dendrophyllia cornigera was conducted to investigate the single and combined effects of warming, acidification and deoxygenation on its ecophysiological response. The experiment took place at the Aquarium finisterrae (A Coruña, Spain) between 2022-05-06 and 2023-02-24. Treatment values for each parameter (current in situ vs. climate change) were: 12 °C and 15 °C (temperature); ~7.99 and 7.69 (pH); ~8.63 mg/L and 6.45 mg/L (dissolved oxygen concentration). A total of eight treatments (with 3 replicates each, 5 L aquaria) were set up. Prokaryotes were quantified by flow citometry (CytoFLEXflex S, Beckman Coulter) as previously described by Gasol et al. (1999) with our own adjustment of the scatter settings to more accurately resolve these cells with the new CytoFLEX flow cytometry technology. Measurements were performed every month from different parts of the aquaria setup: the input seawater, the reservoir tank (after the filtration of seawater to 5 µm and before the UV lamp) and every experimental aquaria.
    Keywords: Atlantic Ocean; Comment; DATE/TIME; Dendrophyllia_Bycatch; Experimental treatment; Experiment duration; Flow cytometer, Beckman Coulter, CytoFLEX S (N-V-B-R); flow cytometry; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Laboratory experiment; NE Atlantic; NW Spain; Prokaryotes; prokaryotic abundance; Replicate; Species; Species, unique identification (Semantic URI); Species, unique identification (URI); Type of study
    Type: Dataset
    Format: text/tab-separated-values, 1260 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 100
    facet.materialart.
    Unknown
    Water physico-chemical variables during a long-term multi-stressor aquarium experiment with the cold-water coral Dendrophyllia cornigera (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-09
    Description: A 9-month aquarium experiment with the cold-water Dendrophyllia cornigera was conducted to investigate the single and combined effects of warming, acidification and deoxygenation on its ecophysiological response. The experiment took place at the Aquarium finisterrae (A Coruña, Spain), from the 6th of May 2022 to the 24th of February 2023. Treatment values for each parameter (current in situ vs. climate change) were: 12 °C and 15 °C (temperature); ~7.99 and 7.69 (pH); ~8.63 mg/L and 6.45 mg/L (dissolved oxygen concentration). A total of eight treatments (with 3 replicates each, 5 L aquaria) were set up. This dataset contains the registered values for temperature, pH, DO (% air saturation and mg/L) and sainity from the experimental aquarium over the course of the experiment. Temperature and DO were daily measured with a YSI ProODO dissolved oxygen instrument. Salinity was weekly assessed with a WTW 350i multiparameter device equipped with a ConOx probe. Measurements for pH were performed every 1 – 2 months. Samples for pH were directly collected on cylindrical 10 cm cuvettes and analysed on daily basis. After being thermostated at 25ºC, samples were measured using a manual spectrophotometrical procedure with a Sigma Aldrich impure indicator (Clayton and Byrne, 1993). The uncertainty of pH is about 0.005 pH units.
    Keywords: Atlantic Ocean; DATE/TIME; Dendrophyllia_Bycatch; Experimental treatment; Experiment duration; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Laboratory experiment; NE Atlantic; NW Spain; Oxygen, dissolved; Oxygen saturation; Oxygen sensor, YSI ProODO; pH; Replicate; Salinity; Species; Species, unique identification (Semantic URI); Species, unique identification (URI); Spectrophotometric; Treatment: temperature; Type of study; WTW Multi Set 350i multiparameter probe
    Type: Dataset
    Format: text/tab-separated-values, 51526 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...