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  • 1970-1974  (755,931)
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Collection
Keywords
Publisher
Language
Years
Year
  • 1
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    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
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    DATA PANGAEA
  • 2
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    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
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    DATA PANGAEA
  • 3
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    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
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    DATA PANGAEA
  • 4
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    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
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    DATA PANGAEA
  • 5
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    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
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    DATA PANGAEA
  • 6
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    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
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    DATA PANGAEA
  • 7
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    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
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    DATA PANGAEA
  • 8
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    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
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    DATA PANGAEA
  • 9
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    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: 2024-07-09
    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, 40 datasets
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    DATA PANGAEA
  • 10
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    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
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    DATA PANGAEA
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