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  • Data  (70,540)
  • Maps  (66)
  • 2005-2009  (70,606)
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  • 2006  (56,087)
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  • 1
    Map available for loan
    Map available for loan
    Associated volumes
    Call number: K 11.0087 / Fach 25
    In: Karte der oberflächennahen Rohstoffe der Bundesrepublik Deutschland
    Type of Medium: Map available for loan
    Pages: 1 Kt., gefaltet + Erl.-H. (119 S.)
    Edition: Stand 03/2007
    Location: Upper compact magazine
    Branch Library: GFZ Library
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  • 2
    Call number: K 95.0020 / R6
    In: Geologische Karte der Republik Österreich
    Type of Medium: Map available for loan
    Pages: 1 Kt. : mehrfarb. ; 54 x 82 cm, gefaltet 12 x 21 cm + Erl.-H. (192 S., 2010) im Umschlag
    ISBN: 9783853160558
    Location: Upper compact magazine
    Branch Library: GFZ Library
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  • 3
    Call number: K 06.0412 / R6
    Type of Medium: Map available for loan
    Pages: 1 Kt. + Erl.-H. (2009, 162 S.) im Umschlag , mehrfarb. , 79 x 68 cm, gef. 20 x 25 cm
    ISBN: 9783853160473 , 978-3-85316-047-3
    Series Statement: Bundesländerserie. Geologische Karten der österreichischen Bundesländer
    Location: Upper compact magazine
    Branch Library: GFZ Library
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  • 4
    Publication Date: 2022-04-25
    Description: FOEN is using the Flood Early Warning System (FEWS) with the hydrological model HBV for operational flood forecasts in the swiss part of the Rhine basin. With respect to MAP D-PHASE FEWS has been extended to use COSMOCH2, COCH7COR, CLEPS and PEPS. COSMOCH7 and ECMWF have been used already before for operational flood forecasting. Forecasts are issued normally during working days from Monday to Friday with t0 at 05 UTC. Updating of HBV up to time t0 (normally at 05 UTC) is done with meteorological data from MeteoSwiss (ANETZ, 1h resolution) and hydrological data from FOEN for 60 subbasins. After t0 HBV is driven by the meteorological models mentioned above. Forecasts for 12 selected hydrological stations are provided for MAP D-Phase. For MAP D-Phase, the model update of HBV based on meteorological station data is compared with an update driven by radar precipitation. The initial states for the hydrological forecasts are always based on the update driven by meteorological station data. Data providers: Observed meteorology (1h-resolution): MeteoSwiss (ANETZ data, Areal radar precipitation) CLEPS, COSMOCH2, COSMOCH7, COCH7COR and ECMWF: MeteoSwiss PEPS: DWD Observed discharge and waterstage (1h-resolution): Swiss Federal Office for Environment FOEN, Landesanstalt fuer Umwelt, Messungen und Naturschutz Baden-Wuerttemberg LUBW (for german tributaries), Abteilung Wasserwirtschaft Vorarlberg (for austrian tributaries) Basins: Aare-Brugg, Aare-Murgenthal, Emme-Emmenmatt, Kleine Emme-Littau, Limmat-Baden, Reuss-Mellingen, Rhein-Basel, Rhein-Diepoldsau, Rhein-Rekingen, Rhein-Rheinfelden, Thur-Andelfingen, Thur-Halden
    Type: experiment
    Format: tar-File(s)
    Format: XML
    Format: NetCDF
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  • 5
    Publication Date: 2023-01-30
    Description: Abstract
    Description: The Austrian Geoid 2008 is the official geoid model for Austria provided by the Austrian Federal Office for Metrology and Surveying (BEV). This model describes the transformation surface (EPSG:9276) between ellipsoidal heights w.r.t. the GRS80 ellipsoid (EPSG:4937) and orthometric heights (EVRF2000 Austrian, EPSG:9274). The grid is defined in ETRS89 (EPSG:4258), covering the area within 46.3° 〈 latitude 〈 49.1° and 9.5° 〈 longitude 〈 17.3°, with a spacing of 1.5' in latitude and 2.5' in longitude. The model is based on 14001 gravity anomaly values, 672 deflections of the vertical and 170 GPS/levelling observations. The computation was performed in the framework of a remove-restore procedure, modelling the long wavelengths of the gravity field by the EIGEN-GL04S global model, and the short wavelengths by the Airy-Heiskanen model with a standard density of 2670 kg/m3. A digital terrain model with a resolution of 44 x 49 m was assembled as a combination of regional Austrian and Swiss models, as well as SRTM for the neighboring countries. The Least Squares Collocation (LSC) technique was used for the geoid computation, interpolating the empirical covariance of the residual quantities by the Tscherning-Rapp analytic covariance model. Special care was devoted to the optimal relative weighting of the input data, namely to the noise covariance models, especially concerning the GPS/levelling observations. The resulting hybrid geoid model was assessed by comparing it with independent GPS/levelling information, leading to an estimated accuracy of the order of 2-3 cm over the whole Austrian territory. The model is also available at the BEV open data portal, and more information about it can be found on the BEV website. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.
    Description: Other
    Description: The International Service for the Geoid (ISG) was founded in 1992 (as International Geoid Service - IGeS) and it is now an official service of the International Association of Geodesy (IAG), under the umbrella of the International Gravity Field Service (IGFS). The main activities of ISG consist in collecting, analysing and redistributing local and regional geoid models, as well as organizing international schools on the geoid determination (Reguzzoni et al., 2021).
    Keywords: Geodesy ; Geoid model ; ISG ; Least Squares Collocation ; Austria ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEODETICS 〉 GEOID CHARACTERISTICS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GRAVITY/GRAVITATIONAL FIELD 〉 GRAVITY
    Type: Dataset , Dataset
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  • 6
    Publication Date: 2023-01-30
    Description: Abstract
    Description: The Austrian Geoid 2008 is the official geoid model for Austria provided by the Austrian Federal Office for Metrology and Surveying (BEV). This model describes the transformation surface (EPSG:9277) between ellipsoidal heights w.r.t. the Bessel ellipsoid (datum MGI, EPSG:9267) and orthometric heights (EVRF2000 Austrian, EPSG:9274). The grid is defined in MGI (EPSG:4312), covering the area within 46.3° 〈 latitude 〈 49.1° and 9.5° 〈 longitude 〈 17.3°, with a spacing of 1.5' in latitude and 2.5' in longitude. The model is based on 14001 gravity anomaly values, 672 deflections of the vertical and 170 GPS/levelling observations. The computation was performed in the framework of a remove-restore procedure, modelling the long wavelengths of the gravity field by the EIGEN-GL04S global model, and the short wavelengths by the Airy-Heiskanen model with a standard density of 2670 kg/m3. A digital terrain model with a resolution of 44 x 49 m was assembled as a combination of regional Austrian and Swiss models, as well as SRTM for the neighboring countries. The Least Squares Collocation (LSC) technique was used for the geoid computation, interpolating the empirical covariance of the residual quantities by the Tscherning-Rapp analytic covariance model. Special care was devoted to the optimal relative weighting of the input data, namely to the noise covariance models, especially concerning the GPS/levelling observations. The resulting hybrid geoid model was assessed by comparing it with independent GPS/levelling information, leading to an estimated accuracy of the order of 2-3 cm over the whole Austrian territory. The model is also available at the BEV open data portal, and more information about it can be found on the BEV website. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.
    Description: Other
    Description: The International Service for the Geoid (ISG) was founded in 1992 (as International Geoid Service - IGeS) and it is now an official service of the International Association of Geodesy (IAG), under the umbrella of the International Gravity Field Service (IGFS). The main activities of ISG consist in collecting, analysing and redistributing local and regional geoid models, as well as organizing international schools on the geoid determination (Reguzzoni et al., 2021).
    Keywords: Geodesy ; Geoid model ; ISG ; Least Squares Collocation ; Austria ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEODETICS 〉 GEOID CHARACTERISTICS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GRAVITY/GRAVITATIONAL FIELD 〉 GRAVITY
    Type: Dataset , Dataset
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  • 7
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    GFZ Data Services
    Publication Date: 2024-01-26
    Description: Abstract
    Description: As part of the INDEPTH IV passive-source experiment from May 2007 until October 2008, 50 broadband seismographs (35 from GIPP, Germany and 15 from SEIS-UK) were deployed along two profiles across the Kunlun mountains and the Jinsha river suture in northeast Tibet. The aims of the project are to determine the crust and upper mantle structure beneath northeast Tibet, detect the sharpness of any steps in major crustal boundaries (e.g. Moho) and detect how deep major faults penetrate in order to examine the viability of the crustal flow hypothesis. The data from the 35 GIPP seismographs are archived at GEOFON at https://geofon.gfzpotsdam.de/waveform/archive/network.php?ncode=XO The data from the 15 SEIS-UK seismographs are archived at the IRIS-DMC at http://ds.iris.edu/mda/XO?timewindow=2007-2009. Waveform data are available from the GEOFON data centre, under network code XO.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; temporary local seismic network ; Earth structure ; Tibet ; passive seismology ; Monitoring system ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: ~200G
    Format: .mseed
    Format: XML
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  • 8
    Publication Date: 2024-02-23
    Description: Abstract
    Description: Earthquake swarms occur frequently in Vogtland/West Bohemia at the German-Czech border. The link between these earthquakes and magmatic fluids that escape at the surface has been debated and investigated. The Rohrbach/Vogtland seismic array, installed by the University of Potsdam, Germany, was a small-aperture array that monitored the major earthquake swarm in 2008 and the background seismicity between October 16, 2008 and March 18, 2009. The array consisted of 11 stations equipped with MarsLite data loggers and Lennartz Le3D-5s seismometers. Data were recorded in continuous mode at 250 Hz. Sensors were buried in the ground at 0.5 m depth. High-precision station coordinates were obtained using differential GPS measurements. The array data has been used for analyses of earthquakes and seismic structures. Waveform data is fully open.
    Keywords: Seismic waveforms ; Germany ; Monitoring system ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: Approx. 95 GB
    Format: .mseed
    Format: XML
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  • 9
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    Deutsches GeoForschungsZentrum GFZ
    Publication Date: 2024-02-23
    Description: Abstract
    Description: The Toba caldera is located in north Sumatra, Indonesia. It is part of the volcanic arc associated with the subduction of the Australian Plate beneath the Southeast-Asian Plate. The subduction zone, and the Sumatra Fault, a right lateral strike-slip fault which marks the plate boundary, are seismically active. In order to investigate the volcano-related seismic activity and image the volcano related structures (i.e. a potential magma chamber) using ambient noise techniques a dense seismic network was installed around Lake Toba between May and October 2008. The network, deployed within a German-Indonesian cooperation, comprised 42 continuously recording seismic stations equipped with three-component, short-period seismic sensors with 1 Hz natural frequency. The GPS-synchronised data loggers recorded at 100 samples per second for the experiment's time span of 6 months. During this time period local and regional seismicity was recorded. The array of stations covers an area of approx. 150 by 200 km with inter-station distances of about 20 km. The station distribution is quite irregular due to the difficult environmental conditions. Data from all stations are freely available from the GFZ seismological data archive.
    Keywords: Seismic waveforms ; Monitoring system ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: Approximately 287 GB
    Format: .mseed
    Format: XML
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  • 10
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    Deutsches GeoForschungsZentrum GFZ
    Publication Date: 2024-02-23
    Description: Abstract
    Description: We study deep structures and geodynamic processes in the Tien Shan and Pamir collision zones, central Asia, with passive source seismic experiments in Kyrgyzstan and Tajikistan. In 2008, a total of 40 seismic stations were deployed predominantly along a 350 km long N-S profile and partly as a sparse 2D seismic network covering an area of 300x300 km of the central Pamir plateau. In 2009, the array was rearranged into a 2D network with higher station density. The proposed scientific tasks to study the crust and upper mantle with seismic methods include (i) teleseismic P and S receiver functions, (ii) shear wave splitting, (iii) location of local earthquakes and waveform inversion for source mechanism, (iv) seismic tomography using local and teleseismic earthquakes, and (v) tomography of surface waves and ambient noise.
    Keywords: Seismic waveforms ; Monitoring system ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: Approximately 440 GB
    Format: .mseed
    Format: XML
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  • 11
    Publication Date: 2024-06-14
    Description: Abstract
    Description: SeisComP is a seismological software for data acquisition, processing, distribution and interactive analysis. The seismological software package has evolved within a decade from pure acquisition modules to a fully featured real-time earthquake monitoring software. The SeedLink protocol for seismic data transmission has been the core of SeisComP from the very beginning. Later additions included simple, purely automatic event detection, location and magnitude determination capabilities. Especially within the development of the 3rd-generation SeisComP, also known as SeisComP3 automatic processing capabilities have been augmented by graphical user interfaces (GUIs) for visualization, rapid event review and quality control.Communication between the modules is achieved using a dedicated messaging system that allows distributed computing and remote review. For seismological metadata exchange export/import tools to/from QuakeML and FDSN StationXML are available, which also provide convenient interfaces with 3rd-party software. The initial SeisComP3 development took place at GFZ between 2006 and 2008 within the GITEWS project (German Indonesian Tsunami Early Warning System) and continued with increasing engagement of gempa GmbH, a software company established by the initial development team of the GFZ.
    Keywords: real-time ; data ; processing ; earthquakes ; monitoring ; fdsn ; standards ; seismology ; C++ ; python ; AGPL ; open ; EARTH SCIENCE SERVICES 〉 DATA ANALYSIS AND VISUALIZATION ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; EARTH SCIENCE
    Language: English
    Type: Software
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  • 12
    Map available for loan
    Map available for loan
    Associated volumes
    Call number: K 09.0244 / Fach 45 ; K 10.0224 / Fach 45 ; K 10.0225 / Fach 45
    In: Landeskarte der Schweiz
    Type of Medium: Map available for loan
    Pages: 1 Kt. : mehrfarb.
    Edition: 1. Ausg. 1973, Stand des Kt.-Inhaltes Gesamtnachführung: 2006, Einzelnachträge: 2007
    Location: Upper compact magazine
    Location: Upper compact magazine
    Location: Upper compact magazine
    Branch Library: GFZ Library
    Branch Library: GFZ Library
    Branch Library: GFZ Library
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  • 13
    Map available for loan
    Map available for loan
    Associated volumes
    Call number: K 09.0306 / R6
    In: Geologische Karte der Republik Österreich
    Type of Medium: Map available for loan
    Pages: 1 Kt. : mehrfarb. ; 57 x 40 cm, gefaltet 12 x 21 cm + Erl.-H. (100 S.) im Umschlag
    Location: Upper compact magazine
    Branch Library: GFZ Library
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  • 14
    Map available for loan
    Map available for loan
    Lower Hutt : Institute of Geological and Nuclear Sciences
    Associated volumes
    Call number: K 18.92024 / R7
    In: Institute of Geological & Nuclear Sciences 1:250.000 geological map, 16
    Type of Medium: Map available for loan
    Pages: 1 Karte , mehrfarbig , Explanation (vi, 67 Seiten) , 48 x 56 cm, gefaltet
    ISBN: 978-0-478-19649-8
    Series Statement: Institute of Geological and Nuclear Sciences 1:250.000 geological map 16
    Language: English
    Location: Upper compact magazine
    Branch Library: GFZ Library
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  • 15
    Map available for loan
    Map available for loan
    Lower Hutt : Institute of Geological and Nuclear Sciences
    Associated volumes
    Call number: K 18.91981 / R7
    In: Institute of Geological & Nuclear Sciences 1:250.000 geological map, 7
    Type of Medium: Map available for loan
    Pages: 1 Karte , mehrfarbig , Expl. (vi, 77 Seiten) , 66 x 44 cm, gefaltet
    ISBN: 978-0-478-19648-1
    Series Statement: Institute of Geological and Nuclear Sciences 1:250.000 geological map 7
    Language: English
    Location: Upper compact magazine
    Branch Library: GFZ Library
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  • 16
    Map available for loan
    Map available for loan
    Keyworth, Nottinghamshire : British Geological Survey [u.a.]
    Call number: K 08.0254 / Fach 46
    Type of Medium: Map available for loan
    Pages: 1 Poster : farb. ; 119 x 82 cm
    ISBN: 9780751835625
    Location: Upper compact magazine
    Branch Library: GFZ Library
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  • 17
    Map available for loan
    Map available for loan
    Keyworth, Nottinghamshire : British Geological Survey [u.a.]
    Call number: K 08.0255 / Fach 46
    Type of Medium: Map available for loan
    Pages: 1 Poster : farb. ; 119 x 82 cm
    ISBN: 9780751835618
    Location: Upper compact magazine
    Branch Library: GFZ Library
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  • 18
    Map available for loan
    Map available for loan
    München : Bayerisches Landesvermessungsamt
    Associated volumes
    Call number: K 09.0186/8131 / Fach 38
    In: Topographische Karte
    Type of Medium: Map available for loan
    Pages: 1 Kt. : mehrfarb. ; 49 x 46 cm, gefaltet 24 x 11 cm , mehrfarb. , 49 x 46 cm
    Edition: [Ausg.] ATKIS, 2. Aufl. Grundaktualität: 2008
    ISBN: 9783860387832
    Series Statement: Topographische Karte / hrsg. vom Landesamt für Vermessung und Geoinformation 8131
    Location: Upper compact magazine
    Branch Library: GFZ Library
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  • 19
    Map available for loan
    Map available for loan
    München : Bayerisches Landesvermessungsamt
    Associated volumes
    Call number: K 09.0186/8132 / Fach 38
    In: Topographische Karte
    Type of Medium: Map available for loan
    Pages: 1 Kt. : mehrfarb. ; 49 x 46 cm, gefaltet 24 x 11 cm
    Edition: [Ausg.] ATKIS, 2. Aufl. Grundaktualität: 2007, einzelne Erg.: 2008
    ISBN: 9783860387849
    Series Statement: Topographische Karte / hrsg. vom Landesamt für Vermessung und Geoinformation 8132
    Location: Upper compact magazine
    Branch Library: GFZ Library
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  • 20
    Map available for loan
    Map available for loan
    München : Bayerisches Landesvermessungsamt
    Associated volumes
    Call number: K 09.0186/8133 / Fach 38
    In: Topographische Karte
    Type of Medium: Map available for loan
    Pages: 1 Kt. : mehrfarb. ; 49 x 45 cm, gefaltet 24 x 11 cm
    Edition: [Ausg.] ATKIS, 2. Aufl. Grundaktualität: 2007, einzelne Erg.: 2008
    ISBN: 9783860387856
    Series Statement: Topographische Karte / hrsg. vom Landesamt für Vermessung und Geoinformation 8133
    Location: Upper compact magazine
    Branch Library: GFZ Library
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  • 21
    Map available for loan
    Map available for loan
    Associated volumes
    Call number: K 09.0246 / Fach 45
    In: Landeskarte der Schweiz
    Type of Medium: Map available for loan
    Pages: 1 Kt. : mehrfarb.
    Edition: 1. Ausg. 1972, Stand des Kt.-Inhaltes Gesamtnachführung: 2006, Einzelnachträge: 2007
    Location: Upper compact magazine
    Branch Library: GFZ Library
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  • 22
    Map available for loan
    Map available for loan
    Associated volumes
    Call number: K 10.0222 / Fach 45 ; K 10.0223 / Fach 45
    In: Landeskarte der Schweiz
    Type of Medium: Map available for loan
    Pages: 1 Kt.
    Location: Upper compact magazine
    Location: Upper compact magazine
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    Branch Library: GFZ Library
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  • 23
    Map available for loan
    Map available for loan
    Associated volumes
    Call number: K 09.0049(1-22)/ R1
    In: Geological map of Japan
    Type of Medium: Map available for loan
    Pages: 1 Kt., gefaltet + Erl.-H. (92 S.)
    Location: Upper compact magazine
    Branch Library: GFZ Library
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  • 24
    Map available for loan
    Map available for loan
    Associated volumes
    Call number: K 09.0243 / Fach 45
    In: Landeskarte der Schweiz
    Type of Medium: Map available for loan
    Pages: 1 Kt. : mehrfarb.
    Edition: 1. ed. 1969, Stato del contenuto della carta Aggiornamento completo: 2006, Aggiornamento parxiale: 2007
    Location: Upper compact magazine
    Branch Library: GFZ Library
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  • 25
    Call number: K 09.0166 / Fach 45
    In: Geologischer Atlas der Schweiz
    Type of Medium: Map available for loan
    Pages: 1 Kt. : mehrfarb. ; 71 x 50 cm, gefaltet 12 x 22 cm + Er.-H. (1930, 7 S., PDF)
    Edition: Stand der Topograf. Grundlagen: 218 Flawil 1921, 219 Herisau 1928, 220 Brunnadern 1921, 221 Schwellbrunn 1928, [Ausg.] 1930, unveränd. Nachdr. (Vierfarben-Reprod.)
    ISBN: 9783302400303
    Location: Upper compact magazine
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  • 26
    Map available for loan
    Map available for loan
    Wabern : Federal Office of Topography, Swiss Geological Survey
    Associated volumes
    Call number: K 09.0167 / Fach 45
    In: Geologischer Atlas der Schweiz
    Type of Medium: Map available for loan
    Pages: 1 Kt. : mehrfarb. ; 71 x 50 cm, gefaltet 12 x 22 cm + Erl.-H. (1945, 30 S., PDF)
    Edition: Topograf. Grundlage: Stand 1932, [Ausg.] 1945, unveränd. Nachdr. (Vierfarben-Reprod.)
    ISBN: 9783302400334
    Location: Upper compact magazine
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  • 27
    Map available for loan
    Map available for loan
    Wabern : Federal Office of Topography, Swiss Geological Survey
    Associated volumes
    Call number: K 09.0168/Kt. / Fach 45 ; K 09.0168/Erl. / Fach 45
    In: Geologischer Atlas der Schweiz
    Type of Medium: Map available for loan
    Pages: 1 Kt. : mehrfarb. ; 71 x 50 cm, gefaltet 12 x 22 cm + Erl.-H. (1962, 66 S.)
    Edition: Topograf. Grundlage: 2002 Rothenburg 1941, 203 Emmen 1941, 204 Malters 1941, 205 Luzern, teilw abgeändert 1955, unveränd. Nachdr. (Vierfarben-Reprod.)
    ISBN: 9783302400358
    Location: Upper compact magazine
    Location: Upper compact magazine
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    Branch Library: GFZ Library
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  • 28
    Map available for loan
    Map available for loan
    München : Landesamt für Vermessung und Geoinformation Bayern
    Associated volumes
    Call number: K 09.0186/8227 / Fach 38
    In: Topographische Karte
    Type of Medium: Map available for loan
    Pages: 1 Kt. : mehrfarb. ; 50 x 45 cm, gefaltet 24 x 11 cm
    Edition: Ausg. ATKIS, 2.. Aufl. 2008, Grundaktualität: 2007
    ISBN: 9783860387887
    Series Statement: Topographische Karte / hrsg. vom Landesamt für Vermessung und Geoinformation Bayern 8227
    Location: Upper compact magazine
    Branch Library: GFZ Library
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  • 29
    Map available for loan
    Map available for loan
    München : Bayerisches Landesvermessungsamt
    Associated volumes
    Call number: K 09.0186/8324 / Fach 38
    In: Topographische Karte
    Type of Medium: Map available for loan
    Pages: 1 Kt. : mehrfarb. ; 50 x 46 cm, gefaltet 11 x 24 cm
    Edition: [Normalausg.] mit UTM-Koordinaten (bezogen auf das WGS 84/ETRS 89), 5. Aufl., umfassende Aktualisierung 2007
    ISBN: 9783890212913
    Series Statement: Topographische Karte / Hrsg.: Landesvermessungsamt Baden-Württemberg 8324
    Location: Upper compact magazine
    Branch Library: GFZ Library
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  • 30
    Map available for loan
    Map available for loan
    San Fernando-Naval (Cadiz) : Real Instituto y Observatorio de la Armada
    Call number: K 09.0342 / Fach 47
    Type of Medium: Map available for loan
    Pages: 3 Kt. : farb.. ; 64 x 135 cm., je Bl. 66 x 150 cm. + 1 Erl.-H. (20 S. ; 30 cm.), im Umschlag (37 x 26 cm.)
    Location: Upper compact magazine
    Branch Library: GFZ Library
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  • 31
    Map available for loan
    Map available for loan
    Associated volumes
    Call number: K 09.0436 / Fach 6
    In: Geologische Karte von Thüringen
    Type of Medium: Map available for loan
    Pages: 1 Kt. : mehrfarb. ; 48 x 46 cm, gefaltet 13 x 21 cm
    Edition: 2., neubearb. Aufl.
    Location: Upper compact magazine
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  • 32
    Publication Date: 2023-03-13
    Description: The geological map shows the northeastern part of the polyphase deformed Sivorg Terrane in the Heimefrontfjella/Dronning Maud Land. The basement was affected by late Mesoproterozoic and Cambrian deformation and metamorphism. Geological mapping was carried out during the Antarctic Expedition 2000/01 of the Alfred Wegener Institute for Polar and Marine Research. Topographic data were obtained through stereoscopic aerial photo interpretation. The photogrammetric photo flights were undertaken in 1986 by the Institut für Angewandte Geodäsie, Frankfurt/M. Horizontal ground control points required for aerial photo interpretation were determined by means of Doppler satellite observation during the 2nd German Neuschwabenland Expedition 1985/86. Vertical ground control points were taken from unpublished map drafts at 1:100 000 scale by Norsk Polarinstitutt, Oslo. The elevation above mean sea level was transferred to Heimefrontfjella barometrically. For this reason assertions concerning the absolute elevation (referred to sea level) are uncertain. Contours and spot heights presented on the map were obtained from the photogrammetric evaluation of the photography taken in 1986; relative elevation data (height differences) are accurate to approximately ±10 m. Published by Fachbereich Geowissenschaften, Universität Bremen & Geologisches Institut, RWTH Aachen.
    Keywords: File format; File size; Geological mapping; GEOMAP; Heimefrontfjella, Antarctica; ORDINAL NUMBER; Uniform resource locator/link to raw data file; XU-FJELLA
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
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  • 33
    Publication Date: 2023-03-13
    Description: The geological map shows the border area between the polyphase (late Mesoproterozoic and Cambrian) deformed Sivorg Terrane and the Kottas Terrane where a pervasive Cambrian tectonometamorphic overprints is lacking. Geological revision mapping was carried out during the Antarctic Expedition 2000/01 of the Alfred Wegener Institute for Polar and Marine Research. Topographic data were obtained through stereoscopic aerial photo interpretation. The photogrammetric photo flights were undertaken in 1986 by the Institut für Angewandte Geodäsie, Frankfurt. Horizontal ground control points required for aerial photo interpretation were determined by means of Doppler satellite observation during the 2nd German Neuschwabenland Expedition 1985/86. Vertical ground control points were taken from unpublished map drafts at 1:100 000 scale by Norsk Polarinstitutt, Oslo. The elevation above mean sea level was transferred to Heimefrontfjella barometrically. For this reason assertions concerning the absolute elevation (referred to sea level) are uncertain. Contours and spot heights presented on the map were obtained from the photogrammetric evaluation of the photography taken in 1986; relative elevation data (height differences) are accurate to approximately ±10 m. Published by Geologisches Institut der RWTH Aachen & Fachbereich Geowissenschaften, Bremen.
    Keywords: File format; File size; Geological mapping; GEOMAP; HANSSONHORNA; Heimefrontfjella, Antarctica; ORDINAL NUMBER; Uniform resource locator/link to raw data file
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
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  • 34
    Publication Date: 2023-03-14
    Keywords: Alkalinity, Gran titration (Gran, 1950); Alkalinity, total; Alkalinity anomaly technique (Smith and Key, 1975); Aragonite saturation state; Calcification rate of calcium carbonate; Calcite saturation state; Calculated; Carbonate ion; Carbon dioxide, partial pressure; Carbon dioxide, total; Conductometry; DATE/TIME; DEPTH, water; Hawaiian Arch; Molokai_reef; pH; pH, flow-thru; Radiation, photosynthetically active; Salinity; Temperature, water; Temperature probe; TP; Water sample; WS
    Type: Dataset
    Format: text/tab-separated-values, 455 data points
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  • 35
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    Unknown
    PANGAEA
    In:  Institute of Biology of the Southern Seas, National Academy of Sciences of Ukraine, Sevastopol
    Publication Date: 2023-03-14
    Keywords: Aral_Sea; DATE/TIME; DEPTH, water; Kazakhstan, Uzbekistan, Central Asia; LATITUDE; LONGITUDE; MULT; Multiple investigations; pH; Sample code/label; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 207 data points
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  • 36
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    Unknown
    PANGAEA
    In:  National University of Ireland, Galway
    Publication Date: 2023-03-10
    Keywords: Calculated; CE0506; CE0506_42; Celtic Explorer; Conductivity; CTD; CTD/Rosette; CTD-RO; Density, sigma-theta (0); DEPTH, water; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; Pressure, water; Salinity; South Atlantic Ocean; Temperature, water; Temperature, water, potential
    Type: Dataset
    Format: text/tab-separated-values, 5472 data points
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  • 37
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    Unknown
    PANGAEA
    In:  National University of Ireland, Galway
    Publication Date: 2023-03-10
    Keywords: Calculated; CE0506; CE0506_43; Celtic Explorer; Conductivity; CTD; CTD/Rosette; CTD-RO; Density, sigma-theta (0); DEPTH, water; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; Pressure, water; Salinity; South Atlantic Ocean; Temperature, water; Temperature, water, potential
    Type: Dataset
    Format: text/tab-separated-values, 5736 data points
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  • 38
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    Unknown
    PANGAEA
    In:  National University of Ireland, Galway
    Publication Date: 2023-03-10
    Keywords: Calculated; CE0506; CE0506_41; Celtic Explorer; Conductivity; CTD; CTD/Rosette; CTD-RO; Density, sigma-theta (0); DEPTH, water; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; Pressure, water; Salinity; South Atlantic Ocean; Temperature, water; Temperature, water, potential
    Type: Dataset
    Format: text/tab-separated-values, 6330 data points
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  • 39
    facet.materialart.
    Unknown
    PANGAEA
    In:  National University of Ireland, Galway
    Publication Date: 2023-03-10
    Keywords: Calculated; CE0506; CE0506_45; Celtic Explorer; Conductivity; CTD; CTD/Rosette; CTD-RO; Density, sigma-theta (0); DEPTH, water; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; Pressure, water; Salinity; South Atlantic Ocean; Temperature, water; Temperature, water, potential
    Type: Dataset
    Format: text/tab-separated-values, 7188 data points
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  • 40
    facet.materialart.
    Unknown
    PANGAEA
    In:  National University of Ireland, Galway
    Publication Date: 2023-03-10
    Keywords: Calculated; CE0506; CE0506_44; Celtic Explorer; Conductivity; CTD; CTD/Rosette; CTD-RO; Density, sigma-theta (0); DEPTH, water; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; Pressure, water; Salinity; South Atlantic Ocean; Temperature, water; Temperature, water, potential
    Type: Dataset
    Format: text/tab-separated-values, 5982 data points
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  • 41
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    Unknown
    PANGAEA
    In:  National University of Ireland, Galway
    Publication Date: 2023-03-10
    Keywords: Calculated; CE0506; CE0506_52; Celtic Explorer; Conductivity; CTD; CTD/Rosette; CTD-RO; Density, sigma-theta (0); DEPTH, water; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; Pressure, water; Salinity; South Atlantic Ocean; Temperature, water; Temperature, water, potential
    Type: Dataset
    Format: text/tab-separated-values, 4926 data points
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  • 42
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    Unknown
    PANGAEA
    In:  National University of Ireland, Galway
    Publication Date: 2023-03-10
    Keywords: Calculated; CE0506; CE0506_51; Celtic Explorer; Conductivity; CTD; CTD/Rosette; CTD-RO; Density, sigma-theta (0); DEPTH, water; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; Pressure, water; Salinity; South Atlantic Ocean; Temperature, water; Temperature, water, potential
    Type: Dataset
    Format: text/tab-separated-values, 5562 data points
    Location Call Number Expected Availability
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  • 43
    facet.materialart.
    Unknown
    PANGAEA
    In:  Institut für Geowissenschaften, Christian-Albrechts-Universität, Kiel
    Publication Date: 2023-03-10
    Keywords: GIK11908-1; Gravity corer (Kiel type); M23; M23_031; Meteor (1964); Nordost-Atlantik-Expedition 1971; SL; South Atlantic Ocean
    Type: Dataset
    Format: unknown
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  • 44
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    Unknown
    PANGAEA
    In:  Institut für Geowissenschaften, Christian-Albrechts-Universität, Kiel
    Publication Date: 2023-03-10
    Keywords: GIK11933-1; KOL; M23; M23_071; Meteor (1964); Nordost-Atlantik-Expedition 1971; Piston corer (Kiel type); South Atlantic Ocean
    Type: Dataset
    Format: unknown
    Location Call Number Expected Availability
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  • 45
    facet.materialart.
    Unknown
    PANGAEA
    In:  National University of Ireland, Galway
    Publication Date: 2023-03-10
    Description: This data collection contains water temperature, conductivity, salinity and density values during Celtic Explorer Leg CE0506 in 2005.
    Keywords: CE0506; CE0506_01; CE0506_02; CE0506_03; CE0506_05; CE0506_06; CE0506_07; CE0506_08; CE0506_09; CE0506_10; CE0506_11; CE0506_12; CE0506_13; CE0506_14; CE0506_15; CE0506_16; CE0506_17; CE0506_18; CE0506_19; CE0506_20; CE0506_21; CE0506_22; CE0506_23; CE0506_24; CE0506_25; CE0506_26; CE0506_27; CE0506_28; CE0506_29; CE0506_30; CE0506_31; CE0506_32; CE0506_33; CE0506_34; CE0506_35; CE0506_36; CE0506_37; CE0506_38; CE0506_39; CE0506_40; CE0506_41; CE0506_42; CE0506_43; CE0506_44; CE0506_45; CE0506_46; CE0506_47; CE0506_48; CE0506_49; CE0506_50; CE0506_51; CE0506_52; CE0506_53; CE0506_54; CE0506_55; CE0506_56; CE0506_57; CE0506_58; CE0506_59; Celtic Explorer; Celtic Sea; CTD/Rosette; CTD-RO; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; South Atlantic Ocean
    Type: Dataset
    Format: application/zip, 58 datasets
    Location Call Number Expected Availability
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  • 46
    facet.materialart.
    Unknown
    PANGAEA
    In:  Universidad Nacional Mayor de San Marcos
    Publication Date: 2023-03-16
    Keywords: Balance; Biomass, wet mass; Calculated; CENSOR; Climate variability and El Niño Southern Oscillation; DEPTH, water; Event label; Independencia_0512_t5; Independencia_0512_t8; Independencia_Bay; Independencia Bay, Peru; Latitude of event; Longitude of event; Net; NET; Research station; Sample volume; Volume; Volume, zooplankton; Volumetric (Black, 1965, Am Soc Agronomy, Monographs, 9)
    Type: Dataset
    Format: text/tab-separated-values, 8 data points
    Location Call Number Expected Availability
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  • 47
    facet.materialart.
    Unknown
    PANGAEA
    In:  Universidad Nacional Mayor de San Marcos
    Publication Date: 2023-03-16
    Keywords: Balance; Biomass, wet mass; Calculated; CENSOR; Climate variability and El Niño Southern Oscillation; Comment; Date/Time of event; DEPTH, water; Event label; Independencia_0602_t5; Independencia_0602_t8; Independencia_0607_t5; Independencia_0607_t8; Independencia_0609_t5; Independencia_0609_t8; Independencia_0612_t5; Independencia_0612_t8; Independencia_Bay; Independencia Bay, Peru; Latitude of event; Longitude of event; Net; NET; Research station; Sample volume; Volume; Volume, zooplankton; Volumetric (Black, 1965, Am Soc Agronomy, Monographs, 9)
    Type: Dataset
    Format: text/tab-separated-values, 36 data points
    Location Call Number Expected Availability
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  • 48
    facet.materialart.
    Unknown
    PANGAEA
    In:  Universidad Nacional Mayor de San Marcos
    Publication Date: 2023-03-16
    Keywords: Balance; Biomass, wet mass; Calculated; CENSOR; Climate variability and El Niño Southern Oscillation; Comment; Date/Time of event; DEPTH, water; Event label; Independencia_0702_t5; Independencia_0702_t8; Independencia_0706_t5; Independencia_0706_t8; Independencia_Bay; Independencia Bay, Peru; Latitude of event; Longitude of event; Net; NET; Research station; Sample volume; Volume; Volume, zooplankton; Volumetric (Black, 1965, Am Soc Agronomy, Monographs, 9)
    Type: Dataset
    Format: text/tab-separated-values, 17 data points
    Location Call Number Expected Availability
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  • 49
    Publication Date: 2023-03-16
    Keywords: Archive of Ocean Data; ARCOD; Barents Sea; Barium; BC; Beryllium; Box corer; Chromium; Cobalt; Copper; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Elevation of event; Event label; Gallium; Geofizik; Geofizik-2000-05-01; Geofizik-2000-05-02; Geofizik-2000-05-03; Geofizik-2000-05-04; Geofizik-2000-05-05; Geofizik-2000-05-06; Geofizik-2000-05-07; Geofizik-2000-05-08; Geofizik-2000-06-01; Geofizik-2000-06-02; Geofizik-2000-06-03; Geofizik-2000-06-05; Geofizik-2000-06-06; Geofizik-2000-06-07; Geofizik-2000-06-08; Geofizik-2000-06-09; Geofizik-2000-06-10; Geofizik-2000-06-11; Geofizik-2000-06-12; Geofizik-2000-06-13; Geofizik-2000-06-14; Geofizik-2000-06-15; Geofizik-2000-07-01; Geofizik-2000-07-02; Geofizik-2000-07-03; Geofizik-2000-07-04; Geofizik-2000-07-05; Geofizik-2000-07-06; Geofizik-2000-07-07; Geofizik-2000-07-08; Geofizik-2000-07-09; Geofizik-2000-07-10; Geofizik-2000-07-11; Geofizik-2000-07-12; Geofizik-2000-07-13; Geofizik-2000-08-07; Geofizik-2000-09-02; Geofizik-2000-09-03; Geofizik-2000-09-04; Geofizik-2000-11-01; Geofizik-2000-11-02; Geofizik-2000-11-03; Geofizik-2000-11-04; Geofizik-2000-11-05; Geofizik-2000-11-06; Geofizik-2000-12-01; Geofizik-2000-12-02; Geofizik-2000-12-03; Geofizik-2000-12-04; Geofizik-2000-12-05; Geofizik-2000-12-06; Geofizik-2000-12-07; Geofizik-2000-12-08; Geofizik-2000-12-09; Geofizik-2000-12-10; Geofizik-2000-12-11; Geofizik-2000-12-12; Geofizik-2000-12-13; Geofizik-2000-13-01; Geofizik-2000-13-02; Geofizik-2000-14-09; Geofizik-2000-14-10; Geofizik-2000-40-04; Geofizik-2000-40-05; Geofizik-2000-40-06; Geofizik-2000-40-07; Geofizik-2000-40-08; Geofizik-2000-40-09; Geofizik-2000-40-10; Geofizik-2000-401-1; Geofizik-2000-401-2; Geofizik-2000-40-12; Geofizik-2000-401-3; Geofizik-2000-40-13; Geofizik-2000-40-14; Geofizik-2000-40-15; Geofizik-2000-40-16; Geofizik-2000-40-17; Geofizik-2000-40-18; Geofizik-2000-40-19; Geofizik-2000-403-1; Geofizik-2000-403-2; Geofizik-2000-405-1; Geofizik-2000-405-2; Geofizik-2000-405-3; Geofizik-2000-405-4; Geofizik-2000-409-1; Geofizik-2000-409-2; Geofizik-2000-409-3; Geofizik-2000-409-4; Geofizik-2000-411-1; Geofizik-2000-413-1; Geofizik-2000-413-2; Geofizik-2000-413-3; Geofizik-2000-413-4; Geofizik-2000-415-1; Geofizik-2000-415-2; Geofizik-2000-417-1; Geofizik-2000-417-2; Geofizik-2000-417-3; Geofizik-2000-417-4; Geofizik-2000-421-2; Geofizik-2000-421-3; Geofizik-2000-421-4; Geofizik-2000-421-5; Geofizik-2000-421-6; Geofizik-2000-424-1; Geofizik-2000-425-1; Geofizik-2000-425-2; Geofizik-2000-425-3; Geofizik-2000-425-4; Geofizik-2000-427-1; Geofizik-2000-428-1; Geofizik-2000-429-1; Geofizik-2000-429-2; Geofizik-2000-429-3; Geofizik-2000-429-4; Geofizik-2000-433-1; Geofizik-2000-433-2; Geofizik-2000-433-3; Geofizik-2000-433-4; Geofizik-2000-433-5; Geofizik-2000-435-1; Geofizik-2000-436-1; Geofizik-2000-437-1; Geofizik-2000-437-2; Geofizik-2000-437-3; Geofizik-2000-437-4; Geofizik-2000-437-5; Geofizik-2000-437-6; Geofizik-2000-439-1; Geofizik-2000-439-2; Geofizik-2000-441-1; Geofizik-2000-441-2; Geofizik-2000-441-3; Geofizik-2000-441-4; Geofizik-2000-443-1; Geofizik-2000-444-1; Geofizik-2000-445-1; Geofizik-2000-445-2; Geofizik-2000-445-3; Geofizik-2000-445-4; Geofizik-2000-449-1; Geofizik-2000-449-2; Geofizik-2000-449-3; Geofizik-2000-449-4; Geofizik-2000-449-5; Geofizik-2000-451-1; Geofizik-2000-453-1; Geofizik-2000-453-2; Geofizik-2000-453-3; Geofizik-2000-453-4; Geofizik-2000-453-5; Geofizik-2000-454-1; Geofizik-2000-455-1; Geofizik-2000-457-1; Geofizik-2000-457-2; Geofizik-2000-457-3; Geofizik-2000-457-4; Geofizik-2000-457-5; Geofizik-2000-457-7; Geofizik-2000-459-1; Geofizik-2000-461-1; Geofizik-2000-461-2; Geofizik-2000-461-3; Geofizik-2000-461-4; Geofizik-2000-461-5; Geofizik-2000-461-6; Geofizik-2000-461-7; Geofizik-2000-461-8; Geofizik-2000-461-9; Geofizik-2000-464-1; Geofizik-2000-464-2; Geofizik-2000-464-3; Geofizik-2000-464-4; Geofizik-2000-464-5; Geofizik-2000-466-1; Geofizik-2000-466-2; Geofizik-2000-468-2; Geofizik-2000-468-3; Geofizik-2000-468-4; Geofizik-2000-468-5; Geofizik-2000-468-6; Geofizik-2000-468-7; Geofizik-2000-468-9; Geofizik-2000-472-1; Geofizik-2000-472-2; Geofizik-2000-473-1; Geofizik-2000-473-2; Geofizik-2000-473-3; Instrumental neutron activation analysis (INAA) (Reimann et al., 1998); Latitude of event; Lead; Longitude of event; MAGE-Geofizik-2000; Molybdenum; Nickel; Scandium; Silver; Strontium; Vanadium; Yttrium; Zinc; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 3438 data points
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  • 50
    Publication Date: 2023-03-16
    Keywords: Archive of Ocean Data; ARCOD; Barents Sea; BC; Box corer; Caesium-137, activity per mass; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Elevation of event; Event label; Geofizik; Geofizik-2000-05-01; Geofizik-2000-05-02; Geofizik-2000-05-03; Geofizik-2000-05-04; Geofizik-2000-05-05; Geofizik-2000-05-06; Geofizik-2000-05-07; Geofizik-2000-05-08; Geofizik-2000-06-01; Geofizik-2000-06-02; Geofizik-2000-06-03; Geofizik-2000-06-04; Geofizik-2000-06-05; Geofizik-2000-06-06; Geofizik-2000-06-07; Geofizik-2000-06-08; Geofizik-2000-06-09; Geofizik-2000-06-10; Geofizik-2000-06-11; Geofizik-2000-06-12; Geofizik-2000-06-13; Geofizik-2000-06-14; Geofizik-2000-06-15; Geofizik-2000-07-01; Geofizik-2000-07-02; Geofizik-2000-07-03; Geofizik-2000-07-04; Geofizik-2000-07-05; Geofizik-2000-07-06; Geofizik-2000-07-07; Geofizik-2000-07-08; Geofizik-2000-07-09; Geofizik-2000-07-10; Geofizik-2000-07-11; Geofizik-2000-07-12; Geofizik-2000-07-13; Geofizik-2000-08-07; Geofizik-2000-09-02; Geofizik-2000-09-03; Geofizik-2000-09-04; Geofizik-2000-11-01; Geofizik-2000-11-02; Geofizik-2000-11-03; Geofizik-2000-11-04; Geofizik-2000-11-05; Geofizik-2000-11-06; Geofizik-2000-12-01; Geofizik-2000-12-02; Geofizik-2000-12-03; Geofizik-2000-12-04; Geofizik-2000-12-05; Geofizik-2000-12-06; Geofizik-2000-12-07; Geofizik-2000-12-08; Geofizik-2000-12-09; Geofizik-2000-12-10; Geofizik-2000-12-11; Geofizik-2000-12-12; Geofizik-2000-12-13; Geofizik-2000-13-01; Geofizik-2000-13-02; Geofizik-2000-14-09; Geofizik-2000-14-10; Geofizik-2000-40-04; Geofizik-2000-40-05; Geofizik-2000-40-06; Geofizik-2000-40-07; Geofizik-2000-40-08; Geofizik-2000-40-09; Geofizik-2000-40-10; Geofizik-2000-401-1; Geofizik-2000-401-2; Geofizik-2000-40-12; Geofizik-2000-401-3; Geofizik-2000-40-13; Geofizik-2000-40-14; Geofizik-2000-40-15; Geofizik-2000-40-16; Geofizik-2000-40-17; Geofizik-2000-40-18; Geofizik-2000-40-19; Geofizik-2000-403-1; Geofizik-2000-403-2; Geofizik-2000-405-1; Geofizik-2000-405-2; Geofizik-2000-405-3; Geofizik-2000-405-4; Geofizik-2000-409-1; Geofizik-2000-409-2; Geofizik-2000-409-3; Geofizik-2000-409-4; Geofizik-2000-411-1; Geofizik-2000-413-1; Geofizik-2000-413-2; Geofizik-2000-413-3; Geofizik-2000-413-4; Geofizik-2000-415-1; Geofizik-2000-415-2; Geofizik-2000-417-1; Geofizik-2000-417-2; Geofizik-2000-417-3; Geofizik-2000-417-4; Geofizik-2000-421-2; Geofizik-2000-421-3; Geofizik-2000-421-4; Geofizik-2000-421-5; Geofizik-2000-421-6; Geofizik-2000-424-1; Geofizik-2000-425-1; Geofizik-2000-425-2; Geofizik-2000-425-3; Geofizik-2000-425-4; Geofizik-2000-427-1; Geofizik-2000-428-1; Geofizik-2000-429-1; Geofizik-2000-429-2; Geofizik-2000-429-3; Geofizik-2000-429-4; Geofizik-2000-433-1; Geofizik-2000-433-2; Geofizik-2000-433-3; Geofizik-2000-433-4; Geofizik-2000-433-5; Geofizik-2000-435-1; Geofizik-2000-436-1; Geofizik-2000-437-1; Geofizik-2000-437-2; Geofizik-2000-437-3; Geofizik-2000-437-4; Geofizik-2000-437-5; Geofizik-2000-437-6; Geofizik-2000-439-1; Geofizik-2000-439-2; Geofizik-2000-441-1; Geofizik-2000-441-2; Geofizik-2000-441-3; Geofizik-2000-441-4; Geofizik-2000-443-1; Geofizik-2000-444-1; Geofizik-2000-445-1; Geofizik-2000-445-2; Geofizik-2000-445-3; Geofizik-2000-445-4; Geofizik-2000-449-1; Geofizik-2000-449-2; Geofizik-2000-449-3; Geofizik-2000-449-4; Geofizik-2000-449-5; Geofizik-2000-451-1; Geofizik-2000-453-1; Geofizik-2000-453-2; Geofizik-2000-453-3; Geofizik-2000-453-4; Geofizik-2000-453-5; Geofizik-2000-454-1; Geofizik-2000-455-1; Geofizik-2000-457-1; Geofizik-2000-457-2; Geofizik-2000-457-3; Geofizik-2000-457-4; Geofizik-2000-457-5; Geofizik-2000-457-7; Geofizik-2000-459-1; Geofizik-2000-461-1; Geofizik-2000-461-2; Geofizik-2000-461-3; Geofizik-2000-461-4; Geofizik-2000-461-5; Geofizik-2000-461-6; Geofizik-2000-461-7; Geofizik-2000-461-8; Geofizik-2000-461-9; Geofizik-2000-464-1; Geofizik-2000-464-2; Geofizik-2000-464-3; Geofizik-2000-464-4; Geofizik-2000-464-5; Geofizik-2000-466-1; Geofizik-2000-466-2; Geofizik-2000-468-2; Geofizik-2000-468-3; Geofizik-2000-468-4; Geofizik-2000-468-5; Geofizik-2000-468-6; Geofizik-2000-468-7; Geofizik-2000-468-8; Geofizik-2000-468-9; Geofizik-2000-472-1; Geofizik-2000-472-2; Geofizik-2000-473-1; Geofizik-2000-473-2; Geofizik-2000-473-3; Latitude of event; Longitude of event; MAGE-Geofizik-2000; Potassium-40; Radium-226 activity per mass; Thorium-232 activity per mass
    Type: Dataset
    Format: text/tab-separated-values, 1152 data points
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  • 51
    Publication Date: 2023-03-16
    Keywords: Aegirine; Amphibole, alkaline; Anatase; Andalusite; Ankerite; Apatite; Archive of Ocean Data; ARCOD; Barents Sea; Barite; BC; Biotite in heavy mineral fraction; Black ore; Box corer; Brookite; Calcite; Calculated; Chlorite in heavy mineral fraction; Chloritoid; Chrome-spinellid; Corundum; Counting, Stereo Microscope; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Dolomite; Elevation of event; Epidote-zoisite; Event label; Garnet; Geofizik; Geofizik-2000-05-01; Geofizik-2000-05-02; Geofizik-2000-05-03; Geofizik-2000-05-04; Geofizik-2000-05-05; Geofizik-2000-05-06; Geofizik-2000-05-07; Geofizik-2000-05-08; Geofizik-2000-08-07; Geofizik-2000-09-02; Geofizik-2000-09-03; Geofizik-2000-09-04; Geofizik-2000-11-01; Geofizik-2000-40-04; Geofizik-2000-40-05; Geofizik-2000-40-06; Geofizik-2000-40-07; Geofizik-2000-40-08; Geofizik-2000-40-09; Geofizik-2000-40-10; Geofizik-2000-40-11; Geofizik-2000-401-2; Geofizik-2000-40-12; Geofizik-2000-40-13; Geofizik-2000-40-14; Geofizik-2000-40-15; Geofizik-2000-40-16; Geofizik-2000-403-1; Geofizik-2000-403-2; Geofizik-2000-405-2; Geofizik-2000-405-3; Geofizik-2000-409-2; Geofizik-2000-411-1; Geofizik-2000-413-2; Geofizik-2000-415-1; Geofizik-2000-417-2; Geofizik-2000-421-2; Geofizik-2000-421-4; Geofizik-2000-424-1; Geofizik-2000-425-2; Geofizik-2000-427-1; Geofizik-2000-428-1; Geofizik-2000-429-2; Geofizik-2000-433-2; Geofizik-2000-433-3; Geofizik-2000-436-1; Geofizik-2000-437-2; Geofizik-2000-439-1; Geofizik-2000-439-2; Geofizik-2000-441-2; Geofizik-2000-443-1; Geofizik-2000-444-1; Geofizik-2000-449-2; Geofizik-2000-449-3; Geofizik-2000-451-1; Geofizik-2000-453-2; Geofizik-2000-454-1; Geofizik-2000-455-1; Geofizik-2000-457-3; Geofizik-2000-459-1; Geofizik-2000-461-1; Geofizik-2000-461-2; Geofizik-2000-461-3; Geofizik-2000-461-4; Geofizik-2000-461-5; Geofizik-2000-461-6; Geofizik-2000-461-7; Geofizik-2000-464-1; Geofizik-2000-464-2; Geofizik-2000-464-3; Geofizik-2000-464-4; Glauconite; Heavy mineral grains; Heavy minerals; Hornblende, common; Indefinite titanium minerals and leucoxene; Iron-carbonate aggregates; Iron hydroxides; Kyanite; Latitude of event; Leucoxene; Longitude of event; MAGE-Geofizik-2000; Monazite; Muscovite; Olivine; Orthit; Orthoamphibole; Pyrite, FeS2; Pyroxene, monoclinic; Pyroxene, rhombic; Rutile; Separation with use of heavy (2.9) liquid; Siderite; Sillimanite; Sphene; Spinel; Staurolite; Sum; Titanium minerals; Tourmaline; Tremolite/Actinolite; Zircon
    Type: Dataset
    Format: text/tab-separated-values, 3356 data points
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  • 52
    Publication Date: 2023-03-16
    Keywords: Aegirine; Anatase; Apatite; Archive of Ocean Data; ARCOD; BC; Biotite in heavy mineral fraction; Black ore; Box corer; Calculated; Chlorite in heavy mineral fraction; Chloritoid; Chrome-spinellid; Counting, Stereo Microscope; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Dolomite; Elevation of event; Epidote-zoisite; Event label; Garnet; GC; Glauconite; Gravity corer; Heavy mineral grains; Heavy minerals; Hornblende, basaltic; Hornblende, common; Indefinite titanium minerals and leucoxene; IPE-2000; IPE-2000-38; IPE-2000-39; IPE-2000-40; IPE-2000-43; IPE-2000-45; IPE-2000-46; IPE-2000-47/1; IPE-2000-47/2; Iron-carbonate aggregates; Iron hydroxides; Ivan Petrov; Kara Sea; Kyanite; Latitude of event; Longitude of event; Orthit; Pyrite, FeS2; Pyroxene, monoclinic; Pyroxene, rhombic; Rutile; Separation with use of heavy (2.9) liquid; Siderite; Sillimanite; Sphene; Staurolite; Sum; Tourmaline; Tremolite/Actinolite; Zircon
    Type: Dataset
    Format: text/tab-separated-values, 350 data points
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  • 53
    Publication Date: 2023-03-16
    Keywords: Aluminium; Archive of Ocean Data; ARCOD; Barents Sea; BC; Box corer; Calcium; Carbon, organic, total; Carbon dioxide; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Elevation of event; Event label; Geofizik; Geofizik-2000-08-07; Geofizik-2000-09-02; Geofizik-2000-09-03; Geofizik-2000-09-04; Geofizik-2000-13-01; Geofizik-2000-13-02; Geofizik-2000-14-09; Geofizik-2000-14-10; Geofizik-2000-40-04; Geofizik-2000-40-05; Geofizik-2000-40-06; Geofizik-2000-40-07; Geofizik-2000-40-08; Geofizik-2000-40-09; Geofizik-2000-40-10; Geofizik-2000-401-1; Geofizik-2000-40-11; Geofizik-2000-401-2; Geofizik-2000-40-12; Geofizik-2000-401-3; Geofizik-2000-40-13; Geofizik-2000-40-14; Geofizik-2000-40-15; Geofizik-2000-403-1; Geofizik-2000-403-2; Geofizik-2000-405-1; Geofizik-2000-405-2; Geofizik-2000-405-3; Geofizik-2000-405-4; Geofizik-2000-409-1; Geofizik-2000-409-2; Geofizik-2000-409-3; Geofizik-2000-409-4; Geofizik-2000-411-1; Geofizik-2000-413-1; Geofizik-2000-413-2; Geofizik-2000-413-3; Geofizik-2000-413-4; Geofizik-2000-415-1; Geofizik-2000-415-2; Geofizik-2000-417-1; Geofizik-2000-417-2; Geofizik-2000-417-3; Geofizik-2000-417-4; Geofizik-2000-421-2; Geofizik-2000-421-3; Geofizik-2000-421-4; Geofizik-2000-421-5; Geofizik-2000-421-6; Geofizik-2000-424-1; Geofizik-2000-425-1; Geofizik-2000-425-2; Geofizik-2000-425-3; Geofizik-2000-425-4; Geofizik-2000-427-1; Geofizik-2000-428-1; Geofizik-2000-429-1; Geofizik-2000-429-2; Geofizik-2000-429-3; Geofizik-2000-429-4; Geofizik-2000-433-1; Geofizik-2000-433-2; Geofizik-2000-433-3; Geofizik-2000-433-4; Geofizik-2000-433-5; Geofizik-2000-435-1; Geofizik-2000-436-1; Geofizik-2000-437-1; Geofizik-2000-437-2; Geofizik-2000-437-3; Geofizik-2000-437-4; Geofizik-2000-437-5; Geofizik-2000-437-6; Geofizik-2000-439-1; Geofizik-2000-439-2; Geofizik-2000-441-1; Geofizik-2000-441-2; Geofizik-2000-441-3; Geofizik-2000-441-4; Geofizik-2000-443-1; Geofizik-2000-444-1; Geofizik-2000-445-1; Geofizik-2000-445-2; Geofizik-2000-445-3; Geofizik-2000-445-4; Geofizik-2000-449-1; Geofizik-2000-449-2; Geofizik-2000-449-3; Geofizik-2000-449-4; Geofizik-2000-449-5; Geofizik-2000-451-1; Geofizik-2000-453-1; Geofizik-2000-453-2; Geofizik-2000-453-3; Geofizik-2000-453-4; Geofizik-2000-453-5; Geofizik-2000-454-1; Geofizik-2000-455-1; Geofizik-2000-457-1; Geofizik-2000-457-2; Geofizik-2000-457-3; Geofizik-2000-457-4; Geofizik-2000-457-5; Geofizik-2000-457-7; Geofizik-2000-459-1; Geofizik-2000-461-1; Geofizik-2000-461-2; Geofizik-2000-461-3; Geofizik-2000-461-4; Geofizik-2000-461-5; Geofizik-2000-461-6; Geofizik-2000-461-7; Geofizik-2000-461-8; Geofizik-2000-461-9; Geofizik-2000-464-1; Geofizik-2000-464-2; Geofizik-2000-464-3; Geofizik-2000-464-4; Geofizik-2000-464-5; Geofizik-2000-466-1; Geofizik-2000-466-2; Geofizik-2000-468-2; Geofizik-2000-468-3; Geofizik-2000-468-4; Geofizik-2000-468-5; Geofizik-2000-468-6; Geofizik-2000-468-7; Geofizik-2000-468-8; Geofizik-2000-468-9; Geofizik-2000-472-1; Geofizik-2000-472-2; Geofizik-2000-473-1; Geofizik-2000-473-2; Geofizik-2000-473-3; Insoluble residue; Iron; Latitude of event; Longitude of event; MAGE-Geofizik-2000; Magnesium; Manganese; Phosphorus; Silicon; Sulfite; Weighted
    Type: Dataset
    Format: text/tab-separated-values, 1722 data points
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  • 54
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    PANGAEA
    In:  Universidad Nacional Agraria La Molina
    Publication Date: 2023-03-16
    Keywords: CENSOR; Class; Climate variability and El Niño Southern Oscillation; DEPTH, sediment/rock; Elevation of event; Family; Feeding mode; Historical_Peru; Humboldt_01_87_4; Individuals; MON; Monitoring; Peru; Species
    Type: Dataset
    Format: text/tab-separated-values, 91 data points
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  • 55
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    PANGAEA
    In:  Universidad Nacional Agraria La Molina
    Publication Date: 2023-03-16
    Keywords: CENSOR; Class; Climate variability and El Niño Southern Oscillation; DEPTH, sediment/rock; Elevation of event; Family; Feeding mode; Historical_Peru; Humboldt_01_87_5; Individuals; MON; Monitoring; Peru; Species
    Type: Dataset
    Format: text/tab-separated-values, 25 data points
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  • 56
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    PANGAEA
    In:  Universidad Nacional Agraria La Molina
    Publication Date: 2023-03-16
    Keywords: CENSOR; Class; Climate variability and El Niño Southern Oscillation; DEPTH, sediment/rock; Elevation of event; Family; Feeding mode; Historical_Peru; Humboldt_01_87_11; Individuals; MON; Monitoring; Peru; Species
    Type: Dataset
    Format: text/tab-separated-values, 101 data points
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  • 57
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    PANGAEA
    In:  Universidad Nacional Agraria La Molina
    Publication Date: 2023-03-16
    Keywords: CENSOR; Class; Climate variability and El Niño Southern Oscillation; DEPTH, sediment/rock; Elevation of event; Family; Feeding mode; Historical_Peru; Humboldt_01_87_35; Individuals; MON; Monitoring; Peru; Species
    Type: Dataset
    Format: text/tab-separated-values, 78 data points
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  • 58
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    PANGAEA
    In:  Universidad Nacional Agraria La Molina
    Publication Date: 2023-03-16
    Keywords: CENSOR; Class; Climate variability and El Niño Southern Oscillation; DEPTH, sediment/rock; Elevation of event; Family; Feeding mode; Historical_Peru; Humboldt_01_87_48; Individuals; MON; Monitoring; Peru; Species
    Type: Dataset
    Format: text/tab-separated-values, 210 data points
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  • 59
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    PANGAEA
    In:  Universidad Nacional Agraria La Molina
    Publication Date: 2023-03-16
    Keywords: CENSOR; Class; Climate variability and El Niño Southern Oscillation; DEPTH, sediment/rock; Elevation of event; Family; Feeding mode; Historical_Peru; Humboldt_01_87_43; Individuals; MON; Monitoring; Peru; Species
    Type: Dataset
    Format: text/tab-separated-values, 359 data points
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  • 60
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    PANGAEA
    In:  Universidad Nacional Agraria La Molina
    Publication Date: 2023-03-16
    Keywords: CENSOR; Class; Climate variability and El Niño Southern Oscillation; DEPTH, sediment/rock; Elevation of event; Family; Feeding mode; Historical_Peru; Humboldt_01_87_31; Individuals; MON; Monitoring; Peru; Species
    Type: Dataset
    Format: text/tab-separated-values, 108 data points
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  • 61
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    PANGAEA
    In:  Universidad Nacional Agraria La Molina
    Publication Date: 2023-03-16
    Keywords: CENSOR; Class; Climate variability and El Niño Southern Oscillation; DEPTH, sediment/rock; Elevation of event; Family; Feeding mode; Historical_Peru; Humboldt_01_87_63; Individuals; MON; Monitoring; Peru; Species
    Type: Dataset
    Format: text/tab-separated-values, 359 data points
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  • 62
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    PANGAEA
    In:  Universidad Nacional Agraria La Molina
    Publication Date: 2023-03-16
    Keywords: CENSOR; Class; Climate variability and El Niño Southern Oscillation; DEPTH, sediment/rock; Elevation of event; Family; Feeding mode; Historical_Peru; Humboldt_01_87_57; Individuals; MON; Monitoring; Peru; Species
    Type: Dataset
    Format: text/tab-separated-values, 355 data points
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  • 63
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    PANGAEA
    In:  Universidad Nacional Agraria La Molina
    Publication Date: 2023-03-16
    Keywords: CENSOR; Climate variability and El Niño Southern Oscillation; DATE/TIME; DEPTH, sediment/rock; Distance; Elevation of event; Event label; Geographic name/locality; Historical_Peru; Humboldt_01_87_11; Humboldt_01_87_31; Humboldt_01_87_35; Humboldt_01_87_4; Humboldt_01_87_43; Humboldt_01_87_48; Humboldt_01_87_5; Humboldt_01_87_57; Humboldt_01_87_63; Latitude of event; Longitude of event; MON; Monitoring; Oxygen; Peru; Salinity; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 45 data points
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  • 64
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    PANGAEA
    In:  Universidad Nacional Agraria La Molina
    Publication Date: 2023-03-16
    Keywords: Carbon, organic, total; Carbonates; CENSOR; Clay minerals; Climate variability and El Niño Southern Oscillation; DEPTH, sediment/rock; Event label; Historical_Peru; Humboldt_01_87_11; Humboldt_01_87_31; Humboldt_01_87_35; Humboldt_01_87_4; Humboldt_01_87_43; Humboldt_01_87_48; Humboldt_01_87_5; Humboldt_01_87_57; Humboldt_01_87_63; MON; Monitoring; Organic matter; Peru; Sand; Substrate type
    Type: Dataset
    Format: text/tab-separated-values, 54 data points
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  • 65
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    PANGAEA
    In:  Universidad Nacional Agraria La Molina
    Publication Date: 2023-03-16
    Keywords: CENSOR; Climate variability and El Niño Southern Oscillation; Comment; DATE/TIME; DEPTH, sediment/rock; Elevation of event; Historical_Peru; Individuals per area; Lobitos_pollicipes_1993; Lobitos, Peru; MON; Monitoring
    Type: Dataset
    Format: text/tab-separated-values, 24 data points
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  • 66
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    PANGAEA
    In:  Universidad Nacional Agraria La Molina
    Publication Date: 2023-03-16
    Keywords: CENSOR; Climate variability and El Niño Southern Oscillation; Comment; DATE/TIME; DEPTH, sediment/rock; Elevation of event; Historical_Peru; Individuals per area; Lobitos_pollicipes_1994; Lobitos, Peru; MON; Monitoring
    Type: Dataset
    Format: text/tab-separated-values, 18 data points
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  • 67
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    PANGAEA
    In:  Universidad Nacional Agraria La Molina
    Publication Date: 2023-03-16
    Keywords: CENSOR; Climate variability and El Niño Southern Oscillation; Comment; DATE/TIME; DEPTH, sediment/rock; Elevation of event; Historical_Peru; Lobitos_pollicipes_1993; Lobitos, Peru; Mass; MON; Monitoring
    Type: Dataset
    Format: text/tab-separated-values, 24 data points
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  • 68
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    PANGAEA
    In:  Universidad Nacional Agraria La Molina
    Publication Date: 2023-03-16
    Keywords: CENSOR; Climate variability and El Niño Southern Oscillation; Comment; DATE/TIME; DEPTH, sediment/rock; Elevation of event; Historical_Peru; Lobitos_pollicipes_1994; Lobitos, Peru; Mass; MON; Monitoring
    Type: Dataset
    Format: text/tab-separated-values, 18 data points
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  • 69
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    PANGAEA
    In:  Universidad Nacional Agraria La Molina
    Publication Date: 2023-03-16
    Keywords: Biomass, wet mass per area; CENSOR; Climate variability and El Niño Southern Oscillation; Comment; DATE/TIME; DEPTH, sediment/rock; Elevation of event; Historical_Peru; Lobitos_pollicipes_1993; Lobitos, Peru; MON; Monitoring
    Type: Dataset
    Format: text/tab-separated-values, 24 data points
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  • 70
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    PANGAEA
    In:  Universidad Nacional Agraria La Molina
    Publication Date: 2023-03-16
    Keywords: CENSOR; Climate variability and El Niño Southern Oscillation; Comment; DEPTH, sediment/rock; Elevation of event; Historical_Peru; Length, infinite; Lobitos_pollicipes; Lobitos, Peru; Method comment; MON; Monitoring; von Bertalanffy growth model, curvature parameter
    Type: Dataset
    Format: text/tab-separated-values, 15 data points
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  • 71
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    PANGAEA
    In:  Universidad Nacional Agraria La Molina
    Publication Date: 2023-03-16
    Keywords: Biomass, wet mass per area; CENSOR; Climate variability and El Niño Southern Oscillation; Comment; DATE/TIME; DEPTH, sediment/rock; Elevation of event; Historical_Peru; Lobitos_pollicipes_1994; Lobitos, Peru; MON; Monitoring
    Type: Dataset
    Format: text/tab-separated-values, 18 data points
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  • 72
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    PANGAEA
    In:  Universidad Nacional Agraria La Molina
    Publication Date: 2023-03-16
    Keywords: CENSOR; Climate variability and El Niño Southern Oscillation; DATE/TIME; Date/time end; Date/time start; DEPTH, sediment/rock; Elevation of event; Growth rate; Historical_Peru; Length; Lobitos_pollicipes; Lobitos, Peru; MON; Monitoring
    Type: Dataset
    Format: text/tab-separated-values, 75 data points
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  • 73
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    PANGAEA
    In:  Universidad Nacional Agraria La Molina
    Publication Date: 2023-03-16
    Keywords: CENSOR; Climate variability and El Niño Southern Oscillation; Comment; DEPTH, sediment/rock; Elevation of event; Historical_Peru; Lobitos_pollicipes; Lobitos, Peru; MON; Monitoring; Mortality
    Type: Dataset
    Format: text/tab-separated-values, 6 data points
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  • 74
    Publication Date: 2023-03-16
    Keywords: Atenas_1984; CENSOR; Climate variability and El Niño Southern Oscillation; DATE/TIME; DEPTH, water; Gonadal stage; Length; MON; Monitoring; Paracas_Bay; Paracas Bay, Peru; Research station
    Type: Dataset
    Format: text/tab-separated-values, 10 data points
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  • 75
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    PANGAEA
    In:  Universidad Nacional Agraria La Molina
    Publication Date: 2023-03-16
    Keywords: Atenas_1985; CENSOR; Climate variability and El Niño Southern Oscillation; DATE/TIME; DEPTH, water; MON; Monitoring; Paracas_Bay; Paracas Bay, Peru; Research station; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 10 data points
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  • 76
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    PANGAEA
    In:  Universidad Nacional Agraria La Molina
    Publication Date: 2023-03-16
    Keywords: Atenas_1984; CENSOR; Climate variability and El Niño Southern Oscillation; DATE/TIME; DEPTH, water; MON; Monitoring; Paracas_Bay; Paracas Bay, Peru; Research station; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 25 data points
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  • 77
    Publication Date: 2023-03-16
    Keywords: Atenas_1985; CENSOR; Climate variability and El Niño Southern Oscillation; DATE/TIME; DEPTH, water; Gonadal stage; Length; MON; Monitoring; Paracas_Bay; Paracas Bay, Peru; Research station
    Type: Dataset
    Format: text/tab-separated-values, 4 data points
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  • 78
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    PANGAEA
    In:  Universidad Nacional Agraria La Molina
    Publication Date: 2023-03-16
    Keywords: CENSOR; Climate variability and El Niño Southern Oscillation; DATE/TIME; DEPTH, water; Faro_1984; Larvae; MON; Monitoring; Paracas_Bay; Paracas Bay, Peru; Research station
    Type: Dataset
    Format: text/tab-separated-values, 17 data points
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  • 79
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    PANGAEA
    In:  Universidad Nacional Agraria La Molina
    Publication Date: 2023-03-16
    Keywords: Atenas_1984; CENSOR; Climate variability and El Niño Southern Oscillation; DATE/TIME; DEPTH, water; Larvae; MON; Monitoring; Paracas_Bay; Paracas Bay, Peru; Research station
    Type: Dataset
    Format: text/tab-separated-values, 13 data points
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  • 80
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    Unknown
    PANGAEA
    In:  Universidad Nacional Agraria La Molina
    Publication Date: 2023-03-16
    Keywords: Atenas_1985; CENSOR; Climate variability and El Niño Southern Oscillation; DATE/TIME; DEPTH, water; Larvae; MON; Monitoring; Paracas_Bay; Paracas Bay, Peru; Research station
    Type: Dataset
    Format: text/tab-separated-values, 7 data points
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  • 81
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    Unknown
    PANGAEA
    In:  Universidad Nacional Agraria La Molina
    Publication Date: 2023-03-16
    Keywords: CENSOR; Climate variability and El Niño Southern Oscillation; DATE/TIME; DEPTH, water; Faro_1985; Larvae; MON; Monitoring; Paracas_Bay; Paracas Bay, Peru; Research station
    Type: Dataset
    Format: text/tab-separated-values, 7 data points
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  • 82
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    PANGAEA
    In:  Universidad Nacional Agraria La Molina
    Publication Date: 2023-03-16
    Keywords: CENSOR; Climate variability and El Niño Southern Oscillation; DATE/TIME; DEPTH, water; Larvae; MON; Monitoring; Paracas_Bay; Paracas Bay, Peru; Research station; SantoDomingo_1985
    Type: Dataset
    Format: text/tab-separated-values, 6 data points
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  • 83
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    PANGAEA
    In:  Universidad Nacional Agraria La Molina
    Publication Date: 2023-03-16
    Keywords: CENSOR; Climate variability and El Niño Southern Oscillation; DATE/TIME; DEPTH, water; Larvae; MON; Monitoring; Paracas_Bay; Paracas Bay, Peru; Research station; SantoDomingo_1984
    Type: Dataset
    Format: text/tab-separated-values, 17 data points
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  • 84
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    PANGAEA
    In:  Universidad Nacional Agraria La Molina
    Publication Date: 2023-03-16
    Keywords: CENSOR; Climate variability and El Niño Southern Oscillation; DATE/TIME; DEPTH, water; Faro_1985; Gear; Individuals; MON; Monitoring; Number; Paracas_Bay; Paracas Bay, Peru; Research station
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
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  • 85
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    PANGAEA
    In:  Universidad Nacional Agraria La Molina
    Publication Date: 2023-03-16
    Keywords: Areal density; Atenas_2004_Z2; Atenas, Peru; Biomass, wet mass per area; CENSOR; Climate variability and El Niño Southern Oscillation; DATE/TIME; DEPTH, water; Height; Mass; MON; Monitoring; Paracas_Bay; Research station
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
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  • 86
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    PANGAEA
    In:  Universidad Nacional Agraria La Molina
    Publication Date: 2023-03-16
    Keywords: Areal density; Atenas_2005_Z2; Atenas, Peru; Biomass, wet mass per area; CENSOR; Climate variability and El Niño Southern Oscillation; DATE/TIME; DEPTH, water; Height; Mass; MON; Monitoring; Paracas_Bay; Research station
    Type: Dataset
    Format: text/tab-separated-values, 28 data points
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  • 87
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    PANGAEA
    In:  All-Russian Research Institute for Geology and Mineral Resources of the World Ocean, St. Petersburg
    Publication Date: 2023-03-16
    Keywords: Archive of Ocean Data; ARCOD; Calculated; Chlorite; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; DRILL; Drilling/drill rig; Hydromica; Kaolinite; Kara Sea; Mixed layer clay minerals; Montmorillonite; Sum; VNIIO-1987; VNIIO-1987-Rus-01; X-ray diffraction, clay fraction
    Type: Dataset
    Format: text/tab-separated-values, 192 data points
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  • 88
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    PANGAEA
    In:  All-Russian Research Institute for Geology and Mineral Resources of the World Ocean, St. Petersburg
    Publication Date: 2023-03-16
    Keywords: Amphibole; Anatase; Apatite; Archive of Ocean Data; ARCOD; Authigenic minerals; Barite; Biotite; Brucite; Calculated; Chlorite; Chloritoid; Chromspinel; Counting, Stereo Microscope; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; DRILL; Drilling/drill rig; Epidote-zoisite; Garnet; Grains, counted/analyzed; Heavy minerals; Hornblende; Ilmenite and magnetite; Iron-carbonate aggregates; Iron-clayey aggregates; Iron hydroxides; Kara Sea; Leucoxene; Muscovite; Orthit; Pyrite, FeS2; Pyroxene, monoclinic; Rutile; Separation with use of heavy (2.9) liquid; Siderite; Sphene; Spinel; Staurolite; Sum; Terrigenous; Titanium minerals; Tourmaline; VNIIO-1987; VNIIO-1987-Rus-01; Zircon
    Type: Dataset
    Format: text/tab-separated-values, 883 data points
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  • 89
    Publication Date: 2023-03-16
    Keywords: CENSOR; Chile; Chile_wind_1993; Climate variability and El Niño Southern Oscillation; DATE/TIME; Historical_Chile; LATITUDE; LONGITUDE; MON; Monitoring; Wind direction description; Wind speed, maximum; Wind speed, minimum
    Type: Dataset
    Format: text/tab-separated-values, 96 data points
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  • 90
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    Unknown
    PANGAEA
    In:  All-Russian Research Institute for Geology and Mineral Resources of the World Ocean, St. Petersburg
    Publication Date: 2023-03-16
    Keywords: Archive of Ocean Data; ARCOD; Carbonates; Density; Density, grain; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; DRILL; Drilling/drill rig; Kara Sea; Porosity, open; Size fraction 〈 0.010 mm; Size fraction 〉 0.100 mm; Size fraction 0.100-0.010 mm; Sum; VNIIO-1987; VNIIO-1987-Rus-01
    Type: Dataset
    Format: text/tab-separated-values, 351 data points
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  • 91
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    Unknown
    PANGAEA
    In:  All-Russian Research Institute for Geology and Mineral Resources of the World Ocean, St. Petersburg
    Publication Date: 2023-03-16
    Keywords: Archive of Ocean Data; ARCOD; Bicarbonate; Boron; Bromide; Calcium; Carbonate ion; Chloride; Density; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; DRILL; Drilling/drill rig; Epoch; Iodine; Iron 3+; Kara Sea; Magnesium; Mineralization; pH; Potassium; Rock type; Sodium; Sulfate; VNIIO-1987; VNIIO-1987-Rus-01
    Type: Dataset
    Format: text/tab-separated-values, 66 data points
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  • 92
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    Unknown
    PANGAEA
    In:  All-Russian Research Institute for Geology and Mineral Resources of the World Ocean, St. Petersburg
    Publication Date: 2023-03-16
    Keywords: Archive of Ocean Data; ARCOD; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; DRILL; Drilling/drill rig; Epoch; Kara Sea; Rock type; VNIIO-1987; VNIIO-1987-Rus-01
    Type: Dataset
    Format: text/tab-separated-values, 552 data points
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  • 93
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    Unknown
    PANGAEA
    In:  Servicio Nacional de Pesca Chile
    Publication Date: 2023-03-16
    Keywords: CENSOR; Chile_landing; Climate variability and El Niño Southern Oscillation; DATE/TIME; Landings_Chile; Landings in mass; MON; Monitoring; off Chile; Research station; Species, common name
    Type: Dataset
    Format: text/tab-separated-values, 2171 data points
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  • 94
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    Unknown
    PANGAEA
    In:  Université du Littoral Côte d'Opale
    Publication Date: 2023-03-07
    Keywords: Aegaeo; Bacteria; Bacteria, biomass as carbon; Bacteria, production as carbon; Borsheim & Bratbak, 1987; cell carbon conversion; Bottle, Niskin 8-L; DEPTH, water; Key coastal processes in the mesotropic Skagerrak and the oligotrophic Northern Aegean: a comparative study; KEYCOP; Kirchman et al., 1986; Lee & Fuhrman, 1987, bacteria biomass; Nanoflagellates, heterotrophic; Nanoflagellates, heterotrophic, biomass as carbon; Nanoflagellates, phototrophic; Nanoflagellates, phototrophic, biomass as carbon; NIS_8L; Porter & Feig, 1980 (Limn. Oceanogr. 25, 943-948); SEPT-1999; SEPT-1999-K6; SESAME; Southern European Seas: Assessing and Modelling Ecosystem Changes
    Type: Dataset
    Format: text/tab-separated-values, 35 data points
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  • 95
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    PANGAEA
    In:  Hellenic Center of Marine Research, Institut of Oceanography, Greece
    Publication Date: 2023-03-07
    Keywords: Aegaeo; Bottle, Niskin 8-L; Chlorophyll, fluorometric determination (Holm-Hansen et al., 1965); Chlorophyll a, fractionated; DEPTH, water; Key coastal processes in the mesotropic Skagerrak and the oligotrophic Northern Aegean: a comparative study; KEYCOP; NIS_8L; SEPT-1999; SEPT-1999-K4; SESAME; Southern European Seas: Assessing and Modelling Ecosystem Changes
    Type: Dataset
    Format: text/tab-separated-values, 15 data points
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  • 96
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    PANGAEA
    In:  Hellenic Center of Marine Research, Institut of Oceanography, Greece
    Publication Date: 2023-03-07
    Keywords: Aegaeo; Bottle, Niskin 10-L; Chlorophyll, fluorometric determination (Holm-Hansen et al., 1965); Chlorophyll a, fractionated; DEPTH, water; K3; Key coastal processes in the mesotropic Skagerrak and the oligotrophic Northern Aegean: a comparative study; KEYCOP; NIS_10L; SEPT-1999; SEPT-1999-K3; SESAME; Southern European Seas: Assessing and Modelling Ecosystem Changes
    Type: Dataset
    Format: text/tab-separated-values, 15 data points
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  • 97
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    Unknown
    PANGAEA
    In:  Hellenic Center of Marine Research, Institut of Oceanography, Greece
    Publication Date: 2023-03-07
    Keywords: Aegaeo; Bottle, Niskin 8-L; Chlorophyll, fluorometric determination (Holm-Hansen et al., 1965); Chlorophyll a, fractionated; DEPTH, water; Key coastal processes in the mesotropic Skagerrak and the oligotrophic Northern Aegean: a comparative study; KEYCOP; NIS_8L; SEPT-1999; SEPT-1999-K2; SESAME; Southern European Seas: Assessing and Modelling Ecosystem Changes
    Type: Dataset
    Format: text/tab-separated-values, 21 data points
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  • 98
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    Unknown
    PANGAEA
    In:  Hellenic Center of Marine Research, Institut of Oceanography, Greece
    Publication Date: 2023-03-07
    Keywords: Aegaeo; Bottle, Niskin 10-L; Chlorophyll, fluorometric determination (Holm-Hansen et al., 1965); Chlorophyll a, fractionated; DEPTH, water; K5; Key coastal processes in the mesotropic Skagerrak and the oligotrophic Northern Aegean: a comparative study; KEYCOP; NIS_10L; SEPT-1999; SEPT-1999-K5; SESAME; Southern European Seas: Assessing and Modelling Ecosystem Changes
    Type: Dataset
    Format: text/tab-separated-values, 18 data points
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  • 99
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    Unknown
    PANGAEA
    In:  Hellenic Center of Marine Research, Institut of Oceanography, Greece
    Publication Date: 2023-03-07
    Keywords: Aegaeo; Bottle, Niskin 8-L; DEPTH, water; Key coastal processes in the mesotropic Skagerrak and the oligotrophic Northern Aegean: a comparative study; KEYCOP; NIS_8L; Primary production of carbon per hour; SEPT-1999; SEPT-1999-K6; SESAME; Southern European Seas: Assessing and Modelling Ecosystem Changes; Steemann-Nielsen (1952) use of 14C for measuring org. prod. (J Conseil 18:117)
    Type: Dataset
    Format: text/tab-separated-values, 13 data points
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  • 100
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    Unknown
    PANGAEA
    In:  Hellenic Center of Marine Research, Institut of Oceanography, Greece
    Publication Date: 2023-03-07
    Keywords: Aegaeo; Bottle, Niskin 8-L; DEPTH, water; Key coastal processes in the mesotropic Skagerrak and the oligotrophic Northern Aegean: a comparative study; KEYCOP; NIS_8L; Primary production of carbon per hour; SEPT-1999; SEPT-1999-K1; SESAME; Southern European Seas: Assessing and Modelling Ecosystem Changes; Steemann-Nielsen (1952) use of 14C for measuring org. prod. (J Conseil 18:117)
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
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