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  • PANGAEA  (42.900)
  • Oxford University Press  (32.487)
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  • 1
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    Unbekannt
    REVEALS reconstruction of past vegetation cover with original RPP values for Asian samples (2023)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: 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.
    Schlagwort(e): 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,
    Materialart: Dataset
    Format: text/tab-separated-values, 47321056 data points
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    DATEN PANGAEA
  • 2
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    Unbekannt
    Water chemistry of Lagrangian samplings of Inland Elbe 2023 (MOSES Hydrological Extremes) (2023)
    PANGAEA
    In:  Helmholtz Centre for Environmental Research - UFZ
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: 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.
    Schlagwort(e): 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
    Materialart: Dataset
    Format: text/tab-separated-values, 1972 data points
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    DATEN PANGAEA
  • 3
    facet.materialart.
    Unbekannt
    Shipboard ADCP current measurements (75 kHz) during RV MARIA S. MERIAN cruise MSM117 (2024)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: 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.
    Schlagwort(e): 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
    Materialart: Dataset
    Format: text/tab-separated-values, 20535010 data points
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    DATEN PANGAEA
  • 4
    facet.materialart.
    Unbekannt
    Shipboard ADCP current measurements (75 kHz) during RV MARIA S. MERIAN cruise MSM122 (2024)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: 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'.
    Schlagwort(e): 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
    Materialart: Dataset
    Format: text/tab-separated-values, 7610665 data points
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    DATEN PANGAEA
  • 5
    facet.materialart.
    Unbekannt
    Shipboard ADCP current measurements (38 kHz) during RV SONNE cruise SO299/2 (2024)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: 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.
    Schlagwort(e): 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
    Materialart: Dataset
    Format: text/tab-separated-values, 1660970 data points
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    DATEN PANGAEA
  • 6
    facet.materialart.
    Unbekannt
    Shipboard ADCP current measurements (38 kHz) during RV SONNE cruise SO299 (2024)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: 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'.
    Schlagwort(e): 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
    Materialart: Dataset
    Format: text/tab-separated-values, 11025015 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 7
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    Glacier surface velocities in the Ötztal Alps (Austria), 2017 et seq (2021)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: 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
    Materialart: Dataset
    Format: application/zip, 23 datasets
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 8
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    Shipboard ADCP current measurements (38 kHz) during RV MARIA S. MERIAN cruise MSM122 (2024)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: Current velocities of the upper water column along the cruise track of R/V Maria S. Merian cruise MSM122 were collected by a vessel-mounted 38 kHz RDI Ocean Surveyor ADCP. The ADCP transducer was located at 6.0 m below the water line. The instrument was operated in narrowband mode (WM10) with a bin size of 32.00 m, a blanking distance of 16.00 m, and a total of 50 bins, covering the depth range between 54.0 m and 1622.0 m. Heading, pitch and roll data from the ship's motion reference unit and the navigation data from the Global Positioning systems were used by the data acquisition software VmDAS internally to convert ADCP velocities into earth coordinates. Single-ping data were screened for bottom signals and, where appropriate, a bottom mask was manually processed. The ship's velocity was calculated from position fixes obtained by the Global Positioning System (GPS). Accuracy of the ADCP velocities mainly depends on the quality of the position fixes and the ship's heading data. Further errors stem from a misalignment of the transducer with the ship's centerline. Data post-processing included water track calibration of the misalignment angle (0.4211° +/- 0.4756°) and scale factor (0.9993 +/- 0.0088) of the Ocean Surveyor signal. The velocity data were averaged in time using an average interval of 60 s. Velocity quality flagging is based on different threshold criteria: Depth cells with ensemble-averaged percent-good values below 25% are marked as 'bad data'. Depth cells with velocities above 2.0 m/s are flagged as 'bad data'. Depth cells with a root-mean-square deviation between the measured ensemble-average velocity and a cell-wise running-mean velocity above 0.3 m/s are flagged as 'probably bad data'.
    Schlagwort(e): Current velocity, east-west; Current velocity, north-south; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Echo intensity, relative; LATITUDE; LONGITUDE; Maria S. Merian; MSM122; MSM122_0_Underway-6; Pings, averaged to a double ensemble value; Quality flag, current velocity; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); TRANSFORMERS II; Vessel mounted Acoustic Doppler Current Profiler [38 kHz]; VMADCP-38
    Materialart: Dataset
    Format: text/tab-separated-values, 2577675 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 9
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    Basic measurements of radiation at station Lindenberg (2018-02) (2020)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publikationsdatum: 2024-07-09
    Schlagwort(e): Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM22, SN 020073, WRMC No. 12014; Pyranometer, Kipp & Zonen, CM22, SN 020074, WRMC No. 12013; Pyrgeometer, Eppley, PIR, SN 32802F3, WRMC No. 12011; Pyrheliometer, Kipp & Zonen, CH1, SN 030340, WRMC No. 12016; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Materialart: Dataset
    Format: text/tab-separated-values, 764122 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 10
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    Unbekannt
    Global taxonomically harmonized pollen data set for Late Quaternary with revised chronologies (LegacyPollen 1.0) (2021)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: This data data set is the taxonomically harmonized pollen data from records 2831 sites. 1032 sites are located in North America, 1075 sites in Europe, 488 sites in Asia, 150 sites in South America, 54 in Africa and 32 in the Indopacific. Most of the data where retrieved from the Neotoma Paleoecology Database (https://www.neotomadb.org/), with additional data from Cao et al. (2020; https://doi.org/10.5194/essd-12-119-2020), Cao et al. (2013, https://doi.org/10.1016/j.revpalbo.2013.02.003) and our own collection for the Asian sector. The ages of the samples refer to the newly established LegacyAge 1.0 framework (https://doi.pangaea.de/10.1594/PANGAEA.933132). The 10,110 original pollen taxa names and notations were harmonized to 1002 taxa names. We present the table with the harmonization approach crossreferencing the original taxa with the harmonized taxa name. The harmonised pollen data are presented as counts (when available) and as percentage values. We complement the data publication by providing the source information on the references (most data are related to Neotoma) as a table linked to each Dataset ID. The data set and site IDs are from Neotoma if the data sets are derived from the Neotoma repository. In case of our own data collection efforts (Cao et al. (2020), Cao et al. (2013) and our own data) we used the already published PANGAEA event names in case they are related to the data or created own site names with referencing to geographical regions similar to the Neotoma data naming principle.
    Schlagwort(e): AWI_Envi; fossil pollen; Neotoma; paleoecology; Polar Terrestrial Environmental Systems @ AWI; taxonomically harmonized
    Materialart: Dataset
    Format: application/zip, 14 datasets
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 11
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    Basic measurements of radiation at station Lindenberg (1994-10 et seq) (2022)
    PANGAEA
    In:  Meteorologisches Observatorium Lindenberg - Richard-Aßmann-Observatorium
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: This is a compilation of all short-wave and long-wave radiation datasets from Lindenberg that were and are published in the frame of BSRN. New data will be added regularly. The data are subject to the data release guidelines of BSRN (https://bsrn.awi.de/data/conditions-of-data-release/).
    Schlagwort(e): Baseline Surface Radiation Network; BSRN; Germany; LIN; Lindenberg; Monitoring station; MONS
    Materialart: Dataset
    Format: application/zip, 337 datasets
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 12
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    Automatic weather station data collected from 2003 to 2021 at the Greenland ice sheet along the K-transect, West-Greenland (2022)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: We present 18 years (2003-2021) of automatic weather station (AWS) data, collected along the K-transect near Kangerlussuaq in west Greenland. The transect runs from east to west, roughly perpendicular to the ice sheet edge at about 67° N. The K-transect originated from the Greenland Ice Margin Experiments (GIMEX), held in the summers of 1990 and 1991. Until recently, surface mass balance and ice velocity measurements were performed at nine locations along the K-transect, of which four are equipped with AWS: two in the ablation zone at approximately 500 m and 1,000 m asl, one at the approximate equilibrium-line altitude (~1,500 m asl), and one in the lower accumulation zone (~1,850 m asl) at distances of 5, 38, 88, and 140 km from the ice edge, respectively. Here, we present (mostly) half hourly UTC based AWS measurements from these four sites containing temperature/humidity, windspeed/direction, all four radiation components and atmospheric pressure. All data are corrected and quality controlled, for details about this procedure please consult doi:10.1080/15230430.2017.1420954.
    Schlagwort(e): automatic weather station; Greenland; K-transect
    Materialart: Dataset
    Format: application/zip, 64 datasets
    Standort Signatur Erwartet Verfügbarkeit
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  • 13
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    Eddy-covariance measurements over The Greenland Ice Sheet (K-transect & Q-transect) and Iceland (Vatnajökull) (2022)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: Eddy-covariance observations taken over rough ice and snow surfaces on the Greenland Ice Sheet and on the Vatnajökull ice cap in Iceland between 1996 and 2021. This data contains corrected 30-min averages, variances and covariances of wind components and temperature, as well as estimated near-surface turbulent heat fluxes, roughness lengths, and other meteorological parameters measured by an adjacent automatic weather station. See README.txt for more detailed information.
    Schlagwort(e): Ablation
/Accumulation; Automatic weather station; AWS; Binary Object; Binary Object (File Size); Eddy-Covariance; Event label; Greenland; Greenland ice sheet; GRL_QASL; GRL_S10; GRL_S5; GRL_S6; GRL_SHR; Iceland; ISL_A4; ISL_A5; Location; roughness length; S10; S5; S6; turbulent fluxes; Type; Weather station/meteorological observation; West Greenland Ice Sheet; WST; Years
    Materialart: Dataset
    Format: text/tab-separated-values, 56 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 14
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    REVEALS reconstruction of past vegetation cover with original RPP values for African samples (2023)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: This data set presents the reconstructed vegetation cover for 155 African sites based on harmonized pollen data from the data set LegacyPollen 2.0 (https://doi.pangaea.de/10.1594/PANGAEA.929773). Sugita's REVEALS model (2000) was applied to all pollen records using REVEALSinR from the DISQOVER package (Theuerkauf et al. 2016). Pollen counts were translated into vegetation cover by accounting for taxon-specific pollen productivity and fall speed. Additionally, relevant source areas of pollen were calculated using the aforementioned taxon-specific parameters and a gaussian plume model for deposition and dispersal and forest cover was reconstructed. Values for relative pollen productivity and fall speed from the synthesis from Wiezcorek and Herzschuh (2010) were used for the reconstruction of vegetation cover. The average values from all Northern Hemisphere values were used where taxon-specific continental values were not available. We present tables with reconstructed vegetation cover for all continents with original parameters. As further details we list a table with the taxon-specific parameters used and a list of parameters adjusted in the default version of REVEALSinR.
    Schlagwort(e): 02DIOGO; 02GUIERS; Abies, cover; ABIJATA_Pollen; Acacia, cover; Acanthaceae, cover; Acanthophoenix, cover; Acer, cover; Achariaceae, cover; Acridocarpus, cover; Adansonia, cover; Adenanthera, cover; Adenium, cover; Adenocarpus, cover; Adina, cover; Afraegle, cover; Africa; Afzelia, cover; AH1_Pollen; AH2_Pollen; Aidia, cover; Aizoaceae, cover; Alangium, cover; ALB3PC; ALBATROS_Pollen; ALBITR1; ALBITR2; Albitrunca Cliff; Albizia, cover; Alchornea, cover; Algeria; Allophylus, cover; Alnus, cover; Alstonia, cover; Amanoa, cover; Amaranthaceae, cover; Amaryllidaceae, cover; Anacardiaceae, cover; Anacardium, cover; ANDOLO; Androstachys, cover; Annona, cover; Annonaceae, cover; Anogeissus, cover; Anopyxis, cover; ANS_Pollen; Anthocleista, cover; Anthostema, cover; Antiaris, cover; Antidesma, cover; Antrocaryon, cover; Aphania, cover; Aphloia, cover; Apiaceae, cover; Apocynaceae, cover; Apodytes, cover; Araceae, cover; Araliaceae, cover; Arbutus, cover; Ardisia, cover; Area; Arecaceae, cover; Argania, cover; Argomuellera, cover; Artemisia, cover; Ascarina, cover; Asparagaceae, cover; Asphodelaceae, cover; Asteraceae, cover; Avicennia, cover; AWI_Envi; BADDA; Badda bog; Baikiaea, cover; BAL_Pollen; Balanites, cover; Balsaminaceae, cover; BAMBILI1; Bambili 1; BAMBILI2; Bambili 2; Baphia, cover; Barbeya, cover; Barringtonia, cover; Basellaceae, cover; BASESECT_Pollen; Basin; Bauhinia, cover; Begoniaceae, cover; BEK_Pollen; BEMBA_Pollen; Berberidaceae, cover; Bergia, cover; Berlinia, cover; Bersama, cover; Bertiera, cover; Betula, cover; Bignoniaceae, cover; Bismarckia, cover; Blighia, cover; Bois de Bilanko; Bombax, cover; Boraginaceae, cover; Borassus, cover; Boscia, cover; Boswellia, cover; BOURDIM; Bourdim, Algeria; Brachylaena, cover; Brachystegia, cover; Brachystephanus, cover; Brassicaceae, cover; Bridelia, cover; Brucea, cover; Bruniaceae, cover; BSM97_Pollen; Buddleja, cover; Burkea, cover; Burseraceae, cover; Buxus, cover; Cadaba, cover; Caesalpinia, cover; Calculated average/mean values; CALDERIL_Pollen; Calendar age, maximum/old; Calendar age, mean; Calendar age, median; Calendar age, minimum/young; Calostephane, cover; Campanulaceae, cover; Campylospermum, cover; Canarium, cover; Cannabaceae, cover; Canthium, cover; Capparaceae, cover; Capparis, cover; Caprifoliaceae, cover; Carapa, cover; Carissa, cover; Carya, cover; Caryophyllaceae, cover; Casearia, cover; Cassia, cover; Cassine, cover; Cassipourea, cover; Castanea, cover; Casuarina, cover; Catha, cover; Catunaregam, cover; Cedrus, cover; Ceiba, cover; Celastraceae, cover; Celtis, cover; Ceratonia, cover; Cercestis, cover; CH22KW31_Pollen; Chaetachme, cover; Chionanthus, cover; Chrysobalanus, cover; Chrysophyllum, cover; Chytranthus, cover; Cistaceae, cover; Citrus, cover; Clausena, cover; Cleistanthus, cover; Cleomaceae, cover; Clerodendrum, cover; Cliffortia, cover; Clusiaceae, cover; Cocculus, cover; Cochlospermum, cover; Cocos, cover; Coffea, cover; Cola, cover; Colchicaceae, cover; Colophospermum, cover; Combretaceae, cover; Combretum, cover; Commelinaceae, cover; Commiphora, cover; COMPCORE; Composite Core; Connaraceae, cover; Continent; Convolvulaceae, cover; Copaifera, cover; CORAF; CORAF2; CORAFT; Cordia, cover; Core; CORE; CoreS2; CoreS6; CoreS7; CoreS8; Cornus, cover; Corylus, cover; Coula, cover; CRAIG; Craigrossie; Crassulaceae, cover; Crateva, cover; Crudia, cover; Cucurbitaceae, cover; Cunoniaceae, cover; Cupressaceae, cover; Cupressus, cover; Cussonia, cover; Cylicodiscus, cover; Cylicomorpha, cover; Cynometra, cover; Cyperaceae, cover; Cytinaceae, cover; Dacryodes, cover; Dalbergia, cover; Daniellia, cover; DARFATMA; Dar Fatma, Tunisia; Dasylepis, cover; Data ID; DEELMER1_Pollen; Deinbollia, cover; Delonix, cover; DEPTH, sediment/rock; Detarium, cover; Deva-Deva; DEVA-DEVA; Dialium, cover; Diameter; Dichapetalaceae, cover; Dichrostachys, cover; Dictyosperma, cover; Didiereaceae, cover; Dilleniaceae, cover; Diogo; Dioscoreaceae, cover; Diospyros, cover; Dipsacaceae, cover; Dipterocarpaceae, cover; Djebel El Ghorra, Tunisia; Dobera, cover; Dodonaea, cover; Dombeya, cover; Dracaena, cover; Driehoek; Drypetes, cover; Dypsis, cover; E4_Pollen; E96-1P; E96-5M; Ebenaceae, cover; Ehretia, cover; Ekebergia, cover; Elaeagnaceae, cover; Elaeis, cover; Elaeocarpaceae, cover; Elaeocarpus, cover; Elaeophorbia, cover; ELANDSBA_Pollen; ELIMSEQ; Elim Swamp; ELKHALED; Englerophytum, cover; Entada, cover; Entandrophragma, cover; Ephedra, cover; Ephedraceae, cover; Ericales, cover; Eriocoelum, cover; Erythrina, cover; Erythrococca, cover; Erythrophleum, cover; Erythroxylum, cover; ESAMBU_Pollen; ETEZA_Pollen; Eucalyptus, cover; Euclea, cover; Eugenia, cover; Euphorbiaceae, cover; EV11_Pollen; EV13; Event label; Excoecaria, cover; Fabaceae, cover; Fadogia, cover; Fagaropsis, cover; Fagus, cover; Faidherbia, cover; Faurea, cover; Ficalhoa, cover; Ficus, cover; FILIM_Pollen; Flacourtia, cover; FLECK_Pollen; Fleroya, cover; Flueggea, cover; Foetidia, cover; Forest, cover; fossil pollen; FPORTAL2_Pollen; Frankeniaceae, cover; Fraxinus, cover; Funtumia, cover; Gaertnera, cover; GALINHA_Pollen; GAMA2_Pollen; GAMA4_Pollen; Ganophyllum, cover; Garaat El-Ouez, Algeria; GARATOUE; Garcinia, cover; Gardenia, cover; GDV4; Genista, cover; Gentianaceae, cover; Geraniaceae, cover; Gesneriaceae, cover; GHORRA01; Ghorra I; Gilbertiodendron, cover; Glenniea, cover; Grewia, cover; GROOTDRIFT; Grootdrift - Verlorenvlei; Guibourtia, cover; Guiera, cover; Gunneraceae, cover; Gymnosporia, cover; Gyrocarpus, cover; HACHLAF1_Pollen; Haematostaphis, cover; Hagenia, cover; Hamamelidaceae, cover; Harrisonia, cover; HARUB2; Harubes; Harungana, cover; HAWA_Pollen; Heisteria, cover; Heliotropium, cover; Heteropterys, cover; Hevea, cover; Hildegardia, cover; HL_Pollen; Holoptelea, cover; Homalium, cover; Hydroleaceae, cover; Hylodendron, cover; Hymenocardia, cover; Hymenodictyon, cover; Hymenostegia, cover; Hyophorbe, cover; Hypericaceae, cover; Hyphaene, cover; Icacinaceae, cover; IKIMBA2_Pollen; Ilex, cover; Illigera, cover; Indeterminable, cover; Indigofera, cover; Iridaceae, cover; Irvingia, cover; Isoberlinia, cover; Ixora, cover; JIKARIYA_Pollen; Juglans, cover; Julbernardia, cover; Juncaceae, cover; Juniperus, cover; KA1; KA3; KAI_Pollen; KAJ_Pollen; Kashiru_Bog_Pollen; Kashiru Swamp; KAVITAHA_Pollen; KH3_Pollen; KH4_Pollen; KHATU_Pollen; Khaya, cover; KIG2_Pollen; Kigelia, cover; Kiggelaria, cover; KIMILIA_Pollen; KIMILIB_Pollen; Kirkia, cover; Kitumbako; KITUMBAKO; KLAARFONT; Klaarfontein Springs; KN1A_Pollen; KOITOBOS_Pollen; KT3_Pollen; KUL_Pollen; LABOOTA_Pollen; Labourdonnaisia, cover; Lake Albert WHOI core 3PC; Lake Andolonomby; Lake Edward; Lake Eilandvlei; Lake Guiers; Lake Malawi MAL05-2; Lake Tritrivakely; Lamiaceae, cover; Lannea, cover; Lasianthus, cover; Lasiodiscus, cover; Latania, cover; LATITUDE; Lauraceae, cover; Laurus, cover; Lawsonia, cover; Lecythidaceae, cover; Lepisanthes, cover; Leptaulus, cover; Leucosidea, cover; LH1; LH3; Liliaceae, cover; Limeaceae, cover; Linaceae, cover; Linderniaceae, cover; Livingstone piston sampler; LKMBTU5_Pollen; Location ID; Loesenera, cover; Lonchocarpus, cover; LONGITUDE; Lophira, cover; Lovoa, cover; LPOUL_Pollen; LPS; LT1_Pollen; LT84-8P_Pollen; LT9812M_Pollen; LT9837M_Pollen; LT9858M_Pollen; Lumnitzera, cover; Lythraceae, cover; Macaranga, cover; Maclura, cover; Maerua, cover; Maesa, cover; Maesopsis, cover; MAHOMA; Mahoma Lake; Majen Ben Hmida, Tunisia; Majen El Orbi, Tunisia; MAJENHMI; Majidea, cover; MAJORBOG; MAJORMAR; MAL05-2A; MALAHLAPAN; Malahlapanga; Mallotus, cover; Malpighiaceae, cover; Malvaceae, cover; Mangifera, cover; Manilkara, cover; Mansonia, cover; Maprounea, cover; Maranthes, cover; Mare aux Songes; Mare dOursi; Margaritaria, cover; Markhamia, cover; Martretia, cover; MARURA_Pollen; MAS1TR4C3; MASOKO_Pollen; Maytenus, cover; MBALA_Pollen; MBORO_Pollen; Median values; Melastomataceae, cover; Meliaceae, cover; Melochia, cover; Menispermaceae,
    Materialart: Dataset
    Format: text/tab-separated-values, 19077771 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 15
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    Water chemistry of Lagrangian samplings of Inland Elbe 2022 (MOSES Hydrological Extremes) (2023)
    PANGAEA
    In:  Helmholtz Centre for Environmental Research - UFZ
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: The MOSES campaign ELBE 2022 covered the Czech freshwater Elbe, the German freshwater part, the tidal Elbe river, and the German Bight. Thus, the complete gradient from source to sea was investigated for the first time. The sampling will be conducted in a Langrangian way according to flow velocity. In the German freshwater Elbe, physico-chemical and biological parameters will be measured along the Elbe using the research vessel ALBIS from Schmilka (km 4, German border) to Geestacht (km 585, close to Hamburg). A particular scientific focus was on (1) composition of dissolved organic matter measured by high-resolution mass specrometry, (2) investigation of zooplankton besides bacteria and algae, and (3) greenhouse gas measurements in water and air (the latter was investigated in more detail during an addition campaing in Tangermünde in August 2022).
    Schlagwort(e): 2022ELBE_el00400l; 2022ELBE_el00400m; 2022ELBE_el00400r; 2022ELBE_el05450l; 2022ELBE_el05450m; 2022ELBE_el05450r; 2022ELBE_el08800l; 2022ELBE_el08800m; 2022ELBE_el08800r; 2022ELBE_el10700l; 2022ELBE_el10700m; 2022ELBE_el10700r; 2022ELBE_el15450l; 2022ELBE_el15450m; 2022ELBE_el15450r; 2022ELBE_el17200m; 2022ELBE_el17200r; 2022ELBE_el17260l; 2022ELBE_el19900muend; 2022ELBE_el25800l; 2022ELBE_el25800m; 2022ELBE_el25800r; 2022ELBE_el25900muend; 2022ELBE_el28700l; 2022ELBE_el28700m; 2022ELBE_el28700r; 2022ELBE_el29070muend; 2022ELBE_el31800l; 2022ELBE_el31800m; 2022ELBE_el31800r; 2022ELBE_el32653l; 2022ELBE_el32653m; 2022ELBE_el32653r; 2022ELBE_el35100l; 2022ELBE_el35100m; 2022ELBE_el35100r; 2022ELBE_el38800l; 2022ELBE_el38800m; 2022ELBE_el38800r; 2022ELBE_el42225l; 2022ELBE_el42225m; 2022ELBE_el42225r; 2022ELBE_el43800muend; 2022ELBE_el45490l; 2022ELBE_el45490m; 2022ELBE_el45490r; 2022ELBE_el47500l; 2022ELBE_el47500m; 2022ELBE_el47500r; 2022ELBE_el50600l; 2022ELBE_el50600m; 2022ELBE_el50600r; 2022ELBE_el53600l; 2022ELBE_el53600m; 2022ELBE_el53600r; 2022ELBE_el57040l; 2022ELBE_el57040m; 2022ELBE_el57040r; 2022ELBE_el58550l; 2022ELBE_el58550m; 2022ELBE_el58550r; Albis; Ammonium molybdate spectrometric method; Ammonium-nitrogen; Area/locality; Arsenic, dissolved; Arsenic, total; Base capacity 4.3; Base capacity 8.2; Breitenhagen links; Breitenhagen mitte; Breitenhagen rechts; Carbon, organic, dissolved; Carbon, organic, particulate; Carbon dioxide; CFA; Chlorophyll a; Conductivity, electrical; Continuous Flow Analysis; DATE/TIME; Distance; Doemitz links; Doemitz Mitte; Doemitz rechts; Dommitzsch links; Dommitzsch Mitte; Dommitzsch rechts; Dresden Carolabruecke links; Dresden Carolabruecke Mitte; Dresden Carolabruecke rechts; Elbe; Event label; Gas chromatograph (8610C, SRI Instruments, Torrance, USA); Geestacht links; Geestacht rechts; Geesthacht Mitte; greenhouse gas; Havel Muendung; HPLCO; ICP-OES; InfraRed sensor detection according to DIN EN 1484:1997 DE; Iron, dissolved; Iron, total; LATITUDE; Lauenburg links; Lauenburg Mitte; Lauenburg rechts; Lead, dissolved; Lead, total; LONGITUDE; Magdeburg Neue Strombruecke links; Magdeburg Neue Strombruecke Mitte; Magdeburg Neue Strombruecke rechts; Manganese, dissolved; Manganese, total; Mercury, total; Methane; Modular Observation Solutions for Earth Systems; MOSES; MOSES_2022_Elbe-NorthSea; MOSES_2022_Elbe-NorthSea_Inland; Mulde Muendung; MULT; Multiparameter probe, YSI Xylem Inc., EXO2; Multiple investigations; Neu Darchau links; Neu Darchau mitte; Neu Darchau rechts; Nitrate-nitrogen; Nitrite-nitrogen; Nitrogen, organic, particulate; Nitrous oxide; Nutrients; Oxygen saturation; pH; Phosphorus, reactive soluble; Phosphorus, total; Pigments analysis by HPLC (UV and FLD); Riesa Bruecke links; Riesa Bruecke Mitte; Riesa Bruecke rechts; river; Rogaetz links; Rogaetz mitte; Rogaetz rechts; Rosslau links; Rosslau Mitte; Rosslau rechts; Saale Muendung; Schmilka links; Schmilka mitte; Schmilka rechts; Schnackenburg links; Schnackenburg mitte; Schnackenburg rechts; Schwarze Elster Muendung; Segmented flow analysis according to DIN EN ISO 13395:1996-12; Silicon; Tangermuende links; Tangermuende Mitte; Tangermuende rechts; Temperature, water; Torgau Bruecke links; Torgau Bruecke Mitte; Torgau Bruecke rechts; Turbidity (Nephelometric turbidity unit); Werben links; Werben Mitte; Werben rechts; Westerhuesen links; Westerhuesen Mitte; Westerhuesen rechts; Wittenberge, links; Wittenberge, mitte; Wittenberge, rechts; Zehren links; Zehren mitte; Zehren rechts
    Materialart: Dataset
    Format: text/tab-separated-values, 2011 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 16
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    Unbekannt
    REVEALS reconstruction of past vegetation cover with original RPP values for South American samples (2023)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: This data set presents the reconstructed vegetation cover for 173 South American sites based on harmonized pollen data from the data set LegacyPollen 2.0 (https://doi.pangaea.de/10.1594/PANGAEA.929773). Sugita's REVEALS model (2000) was applied to all pollen records using REVEALSinR from the DISQOVER package (Theuerkauf et al. 2016). Pollen counts were translated into vegetation cover by accounting for taxon-specific pollen productivity and fall speed. Additionally, relevant source areas of pollen were calculated using the aforementioned taxon-specific parameters and a gaussian plume model for deposition and dispersal and forest cover was reconstructed. Values for relative pollen productivity and fall speed from the synthesis from Wiezcorek and Herzschuh (2010) were used for the reconstruction of vegetation cover. The average values from all Northern Hemisphere values were used where taxon-specific continental values were not available. We present tables with reconstructed vegetation cover for all continents with original parameters. As further details we list a table with the taxon-specific parameters used and a list of parameters adjusted in the default version of REVEALSinR.
    Schlagwort(e): Abatia, cover; Acacia, cover; Acanthaceae, cover; ACARABIX; Acer, cover; Achatocarpus, cover; Acnistus, cover; Adelobotrys, cover; Adenanthera, cover; Aextoxicon, cover; Aguilar; AGUILAR; Alchornea, cover; Alchorneopsis, cover; Aldina, cover; Alibertia, cover; Allophylus, cover; Alnus, cover; Aloysia, cover; ALSACIA; Alstroemeriaceae, cover; Amaioua, cover; Amaranthaceae, cover; Amarete; AMARETE; Amaryllidaceae, cover; Ampelocera, cover; Anacardiaceae, cover; Anacardium, cover; Anadenanthera, cover; Andabobos; ANDABOBS; Andira, cover; Anemopaegma, cover; ANGEL_neotoma; ANGEL, Laguna Angel; Aniba, cover; Annona, cover; Annonaceae, cover; Anthodiscus, cover; Aparisthmium, cover; Apeiba, cover; Apiaceae, cover; Apocynaceae, cover; Aquifoliaceae, cover; AQUIRI; Araceae, cover; Araliaceae, cover; Araucaria, cover; Ardisia, cover; Area; Arecaceae, cover; Aristotelia, cover; Arrabidaea, cover; Artemisia, cover; Asparagaceae, cover; Aspidosperma, cover; Asteliaceae, cover; Asteraceae, cover; Asterales, cover; Astrocaryum, cover; Astronium, cover; Attalea, cover; Austrocedrus, cover; AVICENNIA; Avicennia, cover; AWI_Envi; Azara, cover; Bactris, cover; Balanophoraceae, cover; Balfourodendron, cover; Balsaminaceae, cover; Banara, cover; Basin; Bataceae, cover; Bauhinia, cover; Begoniaceae, cover; BELLVIS_Pollen; Berberidaceae, cover; Bertiera, cover; Betula, cover; Betulaceae, cover; Bignoniaceae, cover; Billia, cover; Bixaceae, cover; Blepharandra, cover; BOAVISTA; Bocoa, cover; Bombacopsis, cover; Bombax, cover; Bonnetiaceae, cover; Boquillas; BOQUILLAS; Boraginaceae, cover; Boscia, cover; Bosque de Avicennia; Bougainvillea, cover; Bowdichia, cover; Brassicaceae, cover; Bromeliaceae, cover; Brosimum, cover; Broussonetia, cover; Brownea, cover; Brunellia, cover; Buddleja, cover; Bunchosia, cover; Burmanniaceae, cover; Bursera, cover; Burseraceae, cover; Byrsonima, cover; CABOSQUE; Cabralea, cover; Cactaceae, cover; Caesalpinia, cover; CAIMITO; CAJANUMA_Pollen; CALACONT; Cala Conto; Calceolariaceae, cover; Calculated average/mean values; Calendar age, maximum/old; Calendar age, mean; Calendar age, median; Calendar age, minimum/young; Calliandra, cover; Calophyllaceae, cover; Calophyllum, cover; Calyceraceae, cover; Calycolpus, cover; Calycophyllum, cover; Campanulaceae, cover; Campnosperma, cover; Campomanesia, cover; Campo Salgado; Campsiandra, cover; Canal de la Puntilla; Cannabaceae, cover; Capparaceae, cover; Capparis, cover; Caprifoliaceae, cover; CAR982L; CARANA; CARANGAM_Pollen; Carapa, cover; CARIMAGUA; Cariniana, cover; Caryocar, cover; Caryocaraceae, cover; Caryophyllaceae, cover; CASANOVA; Casearia, cover; Cassia, cover; Cassipourea, cover; Castela, cover; Castilla, cover; Casuarina, cover; Catostemma, cover; CAUNAHU1; Caunahue; Cavanillesia, cover; Cayambe; CAYAMBE; Cecropia, cover; Cedrela, cover; Ceiba, cover; Celastraceae, cover; Celtis, cover; Centrolobium, cover; Ceroxylon, cover; Cerro Calvario; Cerro Toledo; CERTOCTB; CERTOLCT; CHACALT1; CHACALT2; Chacaltaya 1; Chacaltaya 2; CHALALAN; Chamaedorea, cover; CHAPLIN_Pollen; Cheiloclinium, cover; Chelyocarpus, cover; CHENEVO; Chloranthaceae, cover; CHOCHOS; Chor; Chorreras; Chrysobalanaceae, cover; Chrysobalanus, cover; Chrysophyllum, cover; CIEGAIII; Ciénaga del Visitador; Cistaceae, cover; Citrus, cover; CLARENCE; Cleidion, cover; Cleomaceae, cover; Clethra, cover; Clethraceae, cover; Clusia, cover; Clusiaceae, cover; COCALVAR; Coccoloba, cover; COCHACAR; Cochlospermum, cover; Codia, cover; COLOCO3_Pollen; Colubrina, cover; Columelliaceae, cover; Combretaceae, cover; Combretum, cover; Commelinaceae, cover; CONDOR; Connaraceae, cover; Connarus, cover; CONSUELO1; CONSUELO2; Continent; Convolvulaceae, cover; Copaifera, cover; Copernicia, cover; COR300_Pollen; Cordia, cover; Cordón Serrucho Norte wetland; Coriariaceae, cover; Corylus, cover; Costaceae, cover; COTAPAMP; Cotapampa; Couepia, cover; Couratari, cover; Coutarea, cover; Crassulaceae, cover; Crescentia, cover; Crudia, cover; Cryosophila, cover; CTIGRE_Pollen; Cucurbitaceae, cover; CUEVAHAI; Cueva Haichol; CUEVAMIL; Cueva Milodon; CUMBREUN; Cumbre Unduavi; Cunoniaceae, cover; Cupania, cover; Cupressaceae, cover; CURUCAA; CURUCAB; Cybianthus, cover; Cyclanthaceae, cover; Cyperaceae, cover; Cyrilla, cover; Dacrydium, cover; Dacryodes, cover; Dalbergia, cover; Daphnopsis, cover; DASPATAS; Dasyphyllum, cover; Data ID; Dendropanax, cover; DEPTH, sediment/rock; Diameter; Dichapetalaceae, cover; Dictyocaryum, cover; Didymopanax, cover; Dilleniaceae, cover; Dinizia, cover; Dioscoreaceae, cover; Diospyros, cover; Discaria, cover; Dodonaea, cover; Drimys, cover; Duroia, cover; ECSF_CON; Ecuadorian Andes; EL_PINAL; Elaeagia, cover; Elaeagnus, cover; Elaeocarpaceae, cover; Elaeoluma, cover; ELJUNCO; El Patia-1; El Patía-2; ELTIRO; EL Tiro-Pass; Embothrium, cover; Emmotum, cover; Encelia, cover; Endopleura, cover; Entada, cover; Ephedra, cover; Ericales, cover; Eriotheca, cover; Erisma, cover; Erythrina, cover; Erythroxylaceae, cover; Erythroxylum, cover; Escallonia, cover; Escalloniaceae, cover; Eschweilera, cover; Esenbeckia, cover; Estación Científica San Francisco Cerro de Consuel; Eucalyptus, cover; Eucryphia, cover; Eugenia, cover; Euphorbiaceae, cover; Euterpe, cover; Event label; Fabaceae, cover; Fabales, cover; Faramea, cover; Ferdinandusa, cover; Ficus, cover; Fitzroya, cover; FLAMENGO; FONT; Forest, cover; fossil pollen; Francoaceae, cover; Fraxinus, cover; Froesiodendron, cover; Fuchsia, cover; FUQUENE2; FURCHATO; Furo do Chato; Gaiadendron, cover; Garcinia, cover; GARIBALD; Geissanthus, cover; Genipa, cover; Gentianaceae, cover; GEOB16205_Pollen; GEOB2107-3_Pollen; Geonoma, cover; GERAIS; Geraniaceae, cover; Gesneriaceae, cover; Gevuina, cover; GOBER; Godoya, cover; Gomortega, cover; Gordonia, cover; Goupia, cover; GRANJA; Griselinia, cover; Grossulariaceae, cover; Guarea, cover; Guatteria, cover; Guazuma, cover; Guettarda, cover; Gunneraceae, cover; Gustavia, cover; HARBERT; Harberton; Havardia, cover; Hedyosmum, cover; Heisteria, cover; Helicostylis, cover; Helicteres, cover; Heliocarpus, cover; Heliotropium, cover; Herrania, cover; HERRERA; Hesperomeles, cover; Heteropterys, cover; Hieronyma, cover; Himatanthus, cover; Hippomane, cover; Hirtella, cover; HUALAHUE; HUILA; Humiriaceae, cover; Hura, cover; Hydrangea, cover; Hydrangeaceae, cover; Hydrogaster, cover; Hymenaea, cover; Hypericaceae, cover; Icacinaceae, cover; Ilex, cover; Indeterminable, cover; Indigofera, cover; Inga, cover; Iriartea, cover; Iriartella, cover; Iridaceae, cover; Iryanthera, cover; Isertia, cover; Isla Clarence; ITAPEVA; Ixora, cover; Jacaranda, cover; Juglandaceae, cover; Juglans, cover; Juncaceae, cover; Juniperus, cover; KATANTI; Katantica; Kielmeyera, cover; Krameriaceae, cover; KUMPAKA_Pollen; LACHONTA1; La Chonta Bog; Lacistema, cover; Lacmellea, cover; LACOCHA3; Laetia, cover; Lafoensia, cover; Lagoa Campestre de Salitre; Lagoa da Curuça; Lagoa das Patas; Lago Cardiel; Lago do Aquiri; Lago do Pires; Lago Huala Hué; Lago Mascardi-Gutierrez; LAGOMOR1; Lago Moreno; Lago Mosquito; Lago Rogaguado; Lago Theobald; LAGSAL; Laguna Carimagua; Laguna Carimagua-Bosque; Laguna Chenevo; Laguna Ciega; Laguna Cocha Caranga; Laguna de Chochos; Laguna de Fúquene; Laguna De La Cocha; Laguna de la Herrera; Laguna del Cóndor; Laguna del Maule; Laguna de los Bobos; Laguna El Caimito; Laguna El Junco; Laguna El Piñal; Laguna el Trébol; Laguna Gobernador; Laguna Granja; Laguna Huatacocha; Laguna Jeronimo; Laguna Junín; Laguna La Pava; Laguna La Primavera; Laguna Las Margaritas; Laguna Loma Linda; Laguna Mandioré; Laguna Milloc; Laguna Mozambique; Laguna Negra de Alsacia; Laguna Orícore; Laguna Padre Laguna; Laguna Pallcacocha; Laguna Piusbi [Laguna El Trueno]; Laguna Pomacocha; Laguna Rabadilla de Vaca; Laguna Salinas; Laguna Sardinas; Laguna Tuctua; Laguna Zurita; Laguncularia, cover; Lake Acarabixi; Lake Caranã; Lake Chalalán; Lake Consuelo; Lake Huila; Lake Refugio 1; Lake
    Materialart: Dataset
    Format: text/tab-separated-values, 25495278 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 17
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    Unbekannt
    Hornsund DEM - orthomosaics and Digital Elevation Models from the vicinity of the Polish Polar Station Hornsund, Spitsbergen, Svalbard (2024)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: In the age of remote sensing, particularly with new generation Uncrewed Aerial Vehicles (UAVs), there is a broad spectrum of applications, especially in remote and rapidly changing areas such as the Arctic. Due to challenging conditions in this region, there is a scarcity of detailed spatial studies with data that may be used to estimate changes in glacier volume and geomorphological changes caused by permafrost freeze–thaw cycles. Drone-based Digital Elevation Models (DEM) offer a finer spatial resolution with higher accuracy than airborne and satellite-based products that can be used for acquiring, interpreting, and precisely representing spatial data in broad studies. In this study, we evaluate a UAV-based DEM of two High Arctic catchments, Fuglebekken and Ariebekken, located on Spitsbergen Island. The surveys were carried out in July 2022 using a DJI Matrice 300 RTK drone equipped with a photogrammetric Zenmuse P1 camera. A total of 371 images were taken, covering an area of 7.81 km2. The DEM was created by the Structure-from-Motion technique and achieved a centimetre-level accuracy by overlapping very high-resolution images. The final resolution of the DEM was found to be 0.06 m in Fuglebekken and 0.07 m in Ariebekken, with a horizontal and vertical RMSE of 0.09 m and 0.20 m, respectively.
    Schlagwort(e): File content; Hornsund; North Greenland Sea; Raster graphic, GeoTIFF format; Raster graphic, GeoTIFF format (File Size)
    Materialart: Dataset
    Format: text/tab-separated-values, 8 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 18
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    Unbekannt
    Shipboard ADCP current measurements (75 kHz) during RV SONNE cruise SO299/2 (2024)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: Current velocities of the upper water column along the cruise track of R/V Sonne cruise SO299/2 were collected by a vessel-mounted 75 kHz RDI Ocean Surveyor ADCP. The ADCP transducer was located at 6.0 m below the water line. The instrument was operated in narrowband mode (WM10) with a bin size of 8.00 m, a blanking distance of 8.00 m, and a total of 100 bins, covering the depth range between 22.0 m and 814.0 m. Heading, pitch and roll data from the ship's motion reference unit and the navigation data from the Global Positioning systems were used by the data acquisition software VmDAS internally to convert ADCP velocities into earth coordinates. The ship's velocity was calculated from position fixes obtained by the Global Positioning System (GPS). Accuracy of the ADCP velocities mainly depends on the quality of the position fixes and the ship's heading data. Further errors stem from a misalignment of the transducer with the ship's centerline. Data post-processing included water track calibration of the misalignment angle (0.0830° +/- 0.4577°) and scale factor (0.9966 +/- 0.0102) of the Ocean Surveyor signal. The velocity data were averaged in time using an average interval of 120 s. Velocity quality flagging is based on following threshold criteria: abs(UC) or abs(VC) 〉 1.5 m/s, rms(UC_z) or rms(VC_z) 〉 0.3.
    Schlagwort(e): Current velocity, east-west; Current velocity, north-south; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Echo intensity, relative; LATITUDE; LONGITUDE; Pings, averaged to a double ensemble value; Quality flag, current velocity; REE‐T, BIO-OPS_2023; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); SO299/2; SO299/2_0_Underway-7; Sonne_2; Vessel mounted Acoustic Doppler Current Profiler [75 kHz]; VMADCP-75
    Materialart: Dataset
    Format: text/tab-separated-values, 2143110 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 19
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    Unbekannt
    Carbon compounds, methane concentration and nutritional composition of water samples along the Elbe to the North Sea (German Bight) during the MOSES projects' Sternfahrt 9 in 2022 (2024)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: The "Sternfahrt 9" cruise was conducted from the 30th of May to the 2nd of June 2022, covering a late spring situation in the German Bight. The three participating vessels (Littorina, Uthörn and Ludwig Prandtl) covered a wide range from 7.6°E to 8.9°E and from 53.5°N to 54.8°N, following similar tracks and sampling stations like those of the "Sternfahrt 5" in September 2020. Objective of this cruise was to get new insights on the chemical transformation of Chlorophyll-a and dissolved organic matter from the Elbe, Tide-Elbe and North Sea. Therefore, each ship was continuously measuring different hydrographic parameters and greenhouse gases along their tracks (not included in the present dataset, please see article(s) 'related to'). Additionally, each day eight stations were run by the crews along their respective track (for a more detailed description see 'file description'). Thus, delivering discrete water samples for later analyses of DIC, TA, DOC, methane, nutrients and explosive metals. Due to partly bad weather not always all stations could be realized. While the vessel Littorina covered the south eastern part of the German Bight, the Ludwig Prandtl went further North until the small island Amrum. The Uthörn instead sampled on one side in the north of Heligoland and on the other side in the south and south-west towards Cuxhaven (see map in 'additional metadata'). For more detailed information about the MOSEShx campaign and the cruise Sternfahrt 9, see article cited in references.
    Schlagwort(e): Alfred-Wegener-Institute; Alkalinity, total; Ammonium; Carbon, organic, dissolved; Carbon, organic, particulate; Carbon cycle; Chlorophyll a; chlorophyll-a; DATE/TIME; DEPTH, water; DOC; Elbe; Event label; Geomar; German Bight; Helgoland; Hereon; KON_stern_9_P-1; KON_stern_9_P-10; KON_stern_9_P-11; KON_stern_9_P-12; KON_stern_9_P-13; KON_stern_9_P-14; KON_stern_9_P-15; KON_stern_9_P-16; KON_stern_9_P-17; KON_stern_9_P-18; KON_stern_9_P-19; KON_stern_9_P-2; KON_stern_9_P-20; KON_stern_9_P-21; KON_stern_9_P-22; KON_stern_9_P-23; KON_stern_9_P-24; KON_stern_9_P-25; KON_stern_9_P-26; KON_stern_9_P-27; KON_stern_9_P-3; KON_stern_9_P-4; KON_stern_9_P-5; KON_stern_9_P-6; KON_stern_9_P-7; KON_stern_9_P-8; KON_stern_9_P-9; L-01; L-02; L-03; L-04; L-05; L-06; L-07; L-08; L-09; L-10; L-11; L-12; L-13; L-14; L-15; L-16; L-17; L-18; L-19; L-20; L-21; L-22; L22_stern_9_L-01; L22_stern_9_L-02; L22_stern_9_L-03; L22_stern_9_L-04; L22_stern_9_L-05; L22_stern_9_L-06; L22_stern_9_L-07; L22_stern_9_L-08; L22_stern_9_L-09; L22_stern_9_L-10; L22_stern_9_L-11; L22_stern_9_L-12; L22_stern_9_L-13; L22_stern_9_L-14; L22_stern_9_L-15; L22_stern_9_L-16; L22_stern_9_L-17; L22_stern_9_L-18; L22_stern_9_L-19; L22_stern_9_L-20; L22_stern_9_L-21; L22_stern_9_L-22; L22_stern_9_L-23; L22_stern_9_L-24; L-23; L-24; LATITUDE; Littorina; LONGITUDE; Ludwig Prandtl; Methane; Modular Observation Solutions for Earth Systems; MOSES; MOSES_2022_Elbe-NorthSea; MOSES_2022_Elbe-NorthSea_KON1; MOSES_2022_Elbe-NorthSea_L1; MOSES_2022_Elbe-NorthSea_UT1; Name; Nitrate; Nitrite; Nitrogen, organic, total; Nitrogen, total dissolved; Nitrogen oxide; North Sea; nutrients; P-1; P-10; P-11; P-12; P-13; P-14; P-15; P-16; P-17; P-18; P-19; P-2; P-20; P-21; P-22; P-23; P-24; P-25; P-26; P-27; P-3; P-4; P-5; P-6; P-7; P-8; P-9; Phosphate; POC; Principal investigator; Silicate; Station label; TA alkalinity; Tide Elbe; U1; U10; U11; U12; U13; U14; U15; U16; U17; U18; U19; U2; U20; U21; U22; U23; U24; U25; U26; U27; U28; U29; U3; U4; U5; U6; U7; U8; U9; UT2022_stern_9_U-1; UT2022_stern_9_U-10; UT2022_stern_9_U-11; UT2022_stern_9_U-12; UT2022_stern_9_U-13; UT2022_stern_9_U-14; UT2022_stern_9_U-15; UT2022_stern_9_U-16; UT2022_stern_9_U-17; UT2022_stern_9_U-18; UT2022_stern_9_U-19; UT2022_stern_9_U-2; UT2022_stern_9_U-20; UT2022_stern_9_U-21; UT2022_stern_9_U-22; UT2022_stern_9_U-23; UT2022_stern_9_U-24; UT2022_stern_9_U-25; UT2022_stern_9_U-26; UT2022_stern_9_U-27; UT2022_stern_9_U-28; UT2022_stern_9_U-29; UT2022_stern_9_U-3; UT2022_stern_9_U-4; UT2022_stern_9_U-5; UT2022_stern_9_U-6; UT2022_stern_9_U-7; UT2022_stern_9_U-8; UT2022_stern_9_U-9; Uthörn; Water sample; Water samples; WS
    Materialart: Dataset
    Format: text/tab-separated-values, 1127 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 20
    facet.materialart.
    Unbekannt
    Prokariotic abundances during a multi-stressor aquaria experiment with the cold-water coral Dendrophyllia cornigera (2024)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: A 9-month aquarium experiment with the cold-water Dendrophyllia cornigera was conducted to investigate the single and combined effects of warming, acidification and deoxygenation on its ecophysiological response. The experiment took place at the Aquarium finisterrae (A Coruña, Spain) between 2022-05-06 and 2023-02-24. Treatment values for each parameter (current in situ vs. climate change) were: 12 °C and 15 °C (temperature); ~7.99 and 7.69 (pH); ~8.63 mg/L and 6.45 mg/L (dissolved oxygen concentration). A total of eight treatments (with 3 replicates each, 5 L aquaria) were set up. Prokaryotes were quantified by flow citometry (CytoFLEXflex S, Beckman Coulter) as previously described by Gasol et al. (1999) with our own adjustment of the scatter settings to more accurately resolve these cells with the new CytoFLEX flow cytometry technology. Measurements were performed every month from different parts of the aquaria setup: the input seawater, the reservoir tank (after the filtration of seawater to 5 µm and before the UV lamp) and every experimental aquaria.
    Schlagwort(e): Atlantic Ocean; Comment; DATE/TIME; Dendrophyllia_Bycatch; Experimental treatment; Experiment duration; Flow cytometer, Beckman Coulter, CytoFLEX S (N-V-B-R); flow cytometry; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Laboratory experiment; NE Atlantic; NW Spain; Prokaryotes; prokaryotic abundance; Replicate; Species; Species, unique identification (Semantic URI); Species, unique identification (URI); Type of study
    Materialart: Dataset
    Format: text/tab-separated-values, 1260 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 21
    facet.materialart.
    Unbekannt
    Water physico-chemical variables during a long-term multi-stressor aquarium experiment with the cold-water coral Dendrophyllia cornigera (2024)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: A 9-month aquarium experiment with the cold-water Dendrophyllia cornigera was conducted to investigate the single and combined effects of warming, acidification and deoxygenation on its ecophysiological response. The experiment took place at the Aquarium finisterrae (A Coruña, Spain), from the 6th of May 2022 to the 24th of February 2023. Treatment values for each parameter (current in situ vs. climate change) were: 12 °C and 15 °C (temperature); ~7.99 and 7.69 (pH); ~8.63 mg/L and 6.45 mg/L (dissolved oxygen concentration). A total of eight treatments (with 3 replicates each, 5 L aquaria) were set up. This dataset contains the registered values for temperature, pH, DO (% air saturation and mg/L) and sainity from the experimental aquarium over the course of the experiment. Temperature and DO were daily measured with a YSI ProODO dissolved oxygen instrument. Salinity was weekly assessed with a WTW 350i multiparameter device equipped with a ConOx probe. Measurements for pH were performed every 1 – 2 months. Samples for pH were directly collected on cylindrical 10 cm cuvettes and analysed on daily basis. After being thermostated at 25ºC, samples were measured using a manual spectrophotometrical procedure with a Sigma Aldrich impure indicator (Clayton and Byrne, 1993). The uncertainty of pH is about 0.005 pH units.
    Schlagwort(e): Atlantic Ocean; DATE/TIME; Dendrophyllia_Bycatch; Experimental treatment; Experiment duration; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Laboratory experiment; NE Atlantic; NW Spain; Oxygen, dissolved; Oxygen saturation; Oxygen sensor, YSI ProODO; pH; Replicate; Salinity; Species; Species, unique identification (Semantic URI); Species, unique identification (URI); Spectrophotometric; Treatment: temperature; Type of study; WTW Multi Set 350i multiparameter probe
    Materialart: Dataset
    Format: text/tab-separated-values, 51526 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 22
    facet.materialart.
    Unbekannt
    Skeletal growth rates of the cold-water coral Dendrophyllia cornigera from a long-term multi-stressor experiment (2024)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: A 9-month aquarium experiment with the cold-water Dendrophyllia cornigera was conducted to investigate the single and combined effects of warming, acidification and deoxygenation on its ecophysiological response. The experiment took place at the Aquarium finisterrae (A Coruña, Spain) between 2022-05-06 and 2023-02-24. Treatment values for each parameter (current in situ vs. climate change) were: 12 °C and 15 °C (temperature); ~7.99 and 7.69 (pH); ~8.63 mg/L and 6.45 mg/L (dissolved oxygen concentration). A total of eight treatments (with 3 replicates each, 5 L aquaria) were set up. Dry mass of the coral nubbins (3 per experimental aquarium) was assessed by means of the buoyant weight technique (Jokiel et al. 1978, Davies, 1989), using an analytical balance (OHAUS AX124, precision 0.1 mg). The dry mass was calculated considering the nubbin net weight in water, the water density and the skeletal density of D. cornigera (2.63 g/cm3; Movilla et al. 2014). Measurements were performed just once the acclimation time finished and after 2 , 4, 6 and 9 months under the experimental conditions. Skeletal growth rates were calculated as the slope of the linear regression between the logarithmically transformed dry mass and the experimental time (%/day) (Orejas et al. 2011).
    Schlagwort(e): Buoyant weighing technique according to Davies (1989); Dendrophyllia_cornigera_Coral_Bycatch_A_Coruna; Dendrophyllia cornigera; Dendrophyllia cornigera, skeletal growth rate; Experimental treatment; growth; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Laboratory experiment; Multiple stressors; NE Atlantic; North Atlantic Ocean; NW Spain; Replicate; Species; Species, unique identification (Semantic URI); Species, unique identification (URI); Specimen identification; Type of study
    Materialart: Dataset
    Format: text/tab-separated-values, 576 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 23
    facet.materialart.
    Unbekannt
    Respiration rates of the cold-water coral Dendrophyllia cornigera from a long-term multi-stressor experiment (2024)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: A 9-month aquarium experiment with the cold-water Dendrophyllia cornigera was conducted to investigate the single and combined effects of warming, acidification and deoxygenation on its ecophysiological response. The experiment took place at the Aquarium finisterrae (A Coruña, Spain) between 2022-05-06 and 2023-02-24. Treatment values for each parameter (current in situ vs. climate change) were: 12 °C and 15 °C (temperature); ~7.99 and 7.69 (pH); ~8.63 mg/L and 6.45 mg/L (dissolved oxygen concentration). A total of eight treatments (with 3 replicates each, 5 L aquaria) were set up. Respiration rates from each nubbin (3 per aquarium) were assessed after 6 and 9 months under the experimental conditions by means of closed-cell incubations. Oxygen consumption was calculated by measuring the dissolved oxygen concentration of the seawater inside the chamber using an optical oxygen sensor (YSI ProODO) at the beginning and at the end of the incubation time (24 h incubation). Dry mass (g) of the coral nubbins was assessed by means of the buoyant weight technique (Jokiel et al. 1978, Davies, 1989), using an analytical balance (OHAUS AX124, precision 0.1 mg). Tissue surface area (cm2) was assessed on virtual 3D models of each nubbin at the time when the measurements were conducted. Respiration rates were normalised by dry mass and by tissue surface area.
    Schlagwort(e): Dendrophyllia_cornigera_Coral_Bycatch_A_Coruna; Dendrophyllia cornigera; Dendrophyllia cornigera, dry mass; Dendrophyllia cornigera, respiration rate, oxygen; Dendrophyllia cornigera, respiration rate, oxygen, per dry mass; Dendrophyllia cornigera, surface area; Experimental treatment; Experiment duration; High precision balance, OHAUS, AX124; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Laboratory experiment; Multiple stressors; NE Atlantic; North Atlantic Ocean; NW Spain; Oxygen sensor, YSI ProODO; Photogrammetry from 3D reconstruction; Replicate; Respiration; Species; Species, unique identification (Semantic URI); Species, unique identification (URI); Specimen identification; Type of study
    Materialart: Dataset
    Format: text/tab-separated-values, 1722 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 24
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    Shipboard ADCP current measurements (38 kHz) during RV METEOR cruise M194 (2024)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: Current velocities of the upper water column along the cruise track of R/V Meteor cruise M194 were collected by a vessel-mounted 38 kHz RDI Ocean Surveyor ADCP. The ADCP transducer was located at 5.0 m below the water line. The instrument was operated in narrowband mode (WM10) with a bin size of 16.00 m, a blanking distance of 8.00 m, and a total of 80 bins, covering the depth range between 29.0 m and 1293.0 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 (-44.8863° +/- 0.4659°) and scale factor (1.0033 +/- 0.0079) 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'.
    Schlagwort(e): Current velocity, east-west; Current velocity, north-south; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Echo intensity, relative; HEXPLORES; LATITUDE; LONGITUDE; M194; M194_0_Underway-1; Meteor (1986); 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 [38 kHz]; VMADCP-38
    Materialart: Dataset
    Format: text/tab-separated-values, 3105615 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 25
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    Unbekannt
    Elevation zones Hallstätter Gletscher, Dachstein, Austria, 2018/2019 (2020)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: The annual glacier mass balance of Hallstätter Gletscher in Austria is measured since 1.10.2006 with the direct glaciological method in the fixed date system (1.10. to 30. 09. of the following year). The accumulation of snow is measured by determination of the water equivalent in 6 snow pits, the ice ablation is measured with 15 stakes drilled into the ice. Results are the annual net mass balance in kg, the total accumulation and ablation, the glacier area and the portions of the area which are subject to ablation and accumulation, the elevation of the equilibrium line and the specific mass balance in kg/m² (= mm w.e.). The accumulation during the winter is determined by the 1 May. The project is funded by the Federal Government of Upper Austria. The measurements are carried out the Institute for Interdisciplinary Mountain Research of the Austrian Academy of Sciences and the company Blue Sky in Gmunden, Austria.
    Schlagwort(e): DATE/TIME; Elevation, maximum; Elevation, minimum; Glaciers Austria; Hallstätter Gletscher, Dachstein, Austria; HSG; Mass balance, total of the altitude zone; Specific mass balance of the altitude zone; Specific mass balance of the altitude zone, summer; Specific mass balance of the altitude zone, winter; Total area of the altitude zone
    Materialart: Dataset
    Format: text/tab-separated-values, 98 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 26
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    Basic measurements of radiation at station Lindenberg (2018-03) (2020)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publikationsdatum: 2024-07-09
    Schlagwort(e): Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM22, SN 020073, WRMC No. 12014; Pyranometer, Kipp & Zonen, CM22, SN 020074, WRMC No. 12013; Pyrgeometer, Eppley, PIR, SN 32802F3, WRMC No. 12011; Pyrheliometer, Kipp & Zonen, CH1, SN 030340, WRMC No. 12016; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Materialart: Dataset
    Format: text/tab-separated-values, 846480 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 27
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    Unbekannt
    Glacier surface velocities per day of Gepatschferner and Taschachferner, 2019 (2021)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: 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
    Schlagwort(e): DATE/TIME; Gepatschferner; GLAC; Glacial flow velocity, horizontal, annual; Sampling/measurements on glacier; Tirol, Austria
    Materialart: Dataset
    Format: text/tab-separated-values, 4 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 28
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    Unbekannt
    Basic measurements of radiation at station Lindenberg (2019-06) (2022)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publikationsdatum: 2024-07-09
    Schlagwort(e): Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen,, CM21, SN 010825, WRMC No. 12020; Pyranometer, Kipp & Zonen, CM21, SN 010824, WRMC No. 12009; Pyrgeometer, Kipp & Zonen, CGR4, SN 060028, WRMC No. 12019; Pyrheliometer, Kipp & Zonen, CH1, SN 030340, WRMC No. 12016; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Materialart: Dataset
    Format: text/tab-separated-values, 818408 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 29
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    Unbekannt
    Basic measurements of radiation at station Lindenberg (2019-09) (2022)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publikationsdatum: 2024-07-09
    Schlagwort(e): Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen,, CM21, SN 010825, WRMC No. 12020; Pyranometer, Kipp & Zonen, CM21, SN 010824, WRMC No. 12009; Pyrgeometer, Kipp & Zonen, CGR4, SN 060028, WRMC No. 12019; Pyrheliometer, Kipp & Zonen, CH1, SN 990220, WRMC No. 12012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Materialart: Dataset
    Format: text/tab-separated-values, 819876 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 30
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    Unbekannt
    Basic measurements of radiation at station Lindenberg (2019-10) (2022)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publikationsdatum: 2024-07-09
    Schlagwort(e): Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen,, CM21, SN 010825, WRMC No. 12020; Pyranometer, Kipp & Zonen, CM21, SN 010824, WRMC No. 12009; Pyrgeometer, Kipp & Zonen, CGR4, SN 060028, WRMC No. 12019; Pyrheliometer, Kipp & Zonen, CH1, SN 990220, WRMC No. 12012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Materialart: Dataset
    Format: text/tab-separated-values, 847460 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 31
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    Unbekannt
    Basic measurements of radiation at station Lindenberg (2019-11) (2022)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publikationsdatum: 2024-07-09
    Schlagwort(e): Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen,, CM21, SN 010825, WRMC No. 12020; Pyranometer, Kipp & Zonen, CM21, SN 010824, WRMC No. 12009; Pyrgeometer, Kipp & Zonen, CGR4, SN 060028, WRMC No. 12019; Pyrheliometer, Kipp & Zonen, CH1, SN 990220, WRMC No. 12012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Materialart: Dataset
    Format: text/tab-separated-values, 819400 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 32
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    Unbekannt
    Basic measurements of radiation at station Lindenberg (2019-12) (2022)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publikationsdatum: 2024-07-09
    Schlagwort(e): Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen,, CM21, SN 010825, WRMC No. 12020; Pyranometer, Kipp & Zonen, CM21, SN 010824, WRMC No. 12009; Pyrgeometer, Kipp & Zonen, CGR4, SN 060028, WRMC No. 12019; Pyrheliometer, Kipp & Zonen, CH1, SN 990220, WRMC No. 12012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Materialart: Dataset
    Format: text/tab-separated-values, 846528 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 33
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    Unbekannt
    Basic measurements of radiation at station Lindenberg (2020-02) (2022)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publikationsdatum: 2024-07-09
    Schlagwort(e): Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 010824, WRMC No. 12009; Pyranometer, Kipp & Zonen, CM22, SN 020073, WRMC No. 12014; Pyrgeometer, Kipp & Zonen, CGR4, SN 060028, WRMC No. 12019; Pyrheliometer, Kipp & Zonen, CH1, SN 990220, WRMC No. 12012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Materialart: Dataset
    Format: text/tab-separated-values, 792544 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 34
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    Unbekannt
    Basic measurements of radiation at station Lindenberg (2020-03) (2022)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publikationsdatum: 2024-07-09
    Schlagwort(e): Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 010824, WRMC No. 12009; Pyranometer, Kipp & Zonen, CM22, SN 020073, WRMC No. 12014; Pyrgeometer, Kipp & Zonen, CGR4, SN 110378, WRMC No. 12023; Pyrheliometer, Kipp & Zonen, CH1, SN 990220, WRMC No. 12012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Materialart: Dataset
    Format: text/tab-separated-values, 846972 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 35
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    Unbekannt
    Basic measurements of radiation at station Lindenberg (2022-01) (2023)
    PANGAEA
    In:  Meteorologisches Observatorium Lindenberg - Richard-Aßmann-Observatorium
    Details
    Publikationsdatum: 2024-07-09
    Schlagwort(e): Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP22, SN 170558, WRMC No. 12028; Pyranometer, Kipp & Zonen, CMP22, SN 180606, WRMC No. 12025; Pyrgeometer, Kipp & Zonen, CGR4, SN 170262, WRMC No. 12026; Pyrheliometer, Kipp & Zonen, CH1, SN 990220, WRMC No. 12012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Materialart: Dataset
    Format: text/tab-separated-values, 847071 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 36
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    Unbekannt
    Basic measurements of radiation at station Lindenberg (2022-03) (2023)
    PANGAEA
    In:  Meteorologisches Observatorium Lindenberg - Richard-Aßmann-Observatorium
    Details
    Publikationsdatum: 2024-07-09
    Schlagwort(e): Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP22, SN 170558, WRMC No. 12028; Pyranometer, Kipp & Zonen, CMP22, SN 180606, WRMC No. 12025; Pyrgeometer, Kipp & Zonen, CGR4, SN 170262, WRMC No. 12026; Pyrheliometer, Kipp & Zonen, CH1, SN 990220, WRMC No. 12012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Materialart: Dataset
    Format: text/tab-separated-values, 847448 data points
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    DATEN PANGAEA
  • 37
    facet.materialart.
    Unbekannt
    Flow velocity records at rock glacier Outer Hochebenkar (Äußeres Hochebenkar), 2022 (2023)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: Surface velocities have been regularly monitored at the rock glacier in Outer Hochebenkar, Ötztal Alps, Austria since the early 1950s. This data collection provides annual coordinates of the stones at each cross profile since 1997, when the time series was restarted at the initial profile positions as well as in 2021. Additional coordinates are provided from stones at the longitudinal profile along the centre flow line since 2011. These data-series is a continuation of Hartl et al. (2016). Coordinate System: MGI Austria GK West (EPSG: 31254).
    Schlagwort(e): Comment; DATE/TIME; Easting, local; ELEVATION; Event label; HEK_P0_S1; HEK_P0_S1_2021; HEK_P0_S2; HEK_P0_S2_2021; HEK_P0_S3; HEK_P0_S3_2021; HEK_P0_S4; HEK_P0_S4_2021; HEK_P0_S5; HEK_P0_S5_2021; HEK_P0_S6; HEK_P0_S6_2021; HEK_P1_S1; HEK_P1_S1_2021; HEK_P1_S10; HEK_P1_S10_2021; HEK_P1_S2; HEK_P1_S2_2021; HEK_P1_S3; HEK_P1_S3_2021; HEK_P1_S4; HEK_P1_S4_2021; HEK_P1_S5; HEK_P1_S5_2021; HEK_P1_S6; HEK_P1_S6_2021; HEK_P1_S7; HEK_P1_S7_2021; HEK_P1_S8; HEK_P1_S8_2021; HEK_P1_S9; HEK_P1_S9_2021; HEK_P2_S1; HEK_P2_S1_2021; HEK_P2_S10; HEK_P2_S10_2021; HEK_P2_S11; HEK_P2_S11_2021; HEK_P2_S12; HEK_P2_S12_2021; HEK_P2_S2; HEK_P2_S2_2021; HEK_P2_S3; HEK_P2_S3_2021; HEK_P2_S4; HEK_P2_S4_2021; HEK_P2_S5; HEK_P2_S5_2021; HEK_P2_S6; HEK_P2_S6_2021; HEK_P2_S7; HEK_P2_S7_2021; HEK_P2_S8; HEK_P2_S8_2021; HEK_P2_S9; HEK_P2_S9_2021; HEK_P3_S1; HEK_P3_S1_2021; HEK_P3_S10; HEK_P3_S10_2021; HEK_P3_S11; HEK_P3_S11_2021; HEK_P3_S12; HEK_P3_S12_2021; HEK_P3_S2; HEK_P3_S2_2021; HEK_P3_S3; HEK_P3_S3_2021; HEK_P3_S4; HEK_P3_S4_2021; HEK_P3_S5; HEK_P3_S5_2021; HEK_P3_S6; HEK_P3_S6_2021; HEK_P3_S7; HEK_P3_S7_2021; HEK_P3_S8; HEK_P3_S8_2021; HEK_P3_S9; HEK_P3_S9_2021; Identification; MULT; Multiple investigations; Northing, local; Ötztal, Tyrolian Alps, Austria; Outer Hochebenkar Profile 0 Stone 1; Outer Hochebenkar Profile 0 Stone 2; Outer Hochebenkar Profile 0 Stone 3; Outer Hochebenkar Profile 0 Stone 4; Outer Hochebenkar Profile 0 Stone 5; Outer Hochebenkar Profile 0 Stone 6; Outer Hochebenkar Profile 1 Stone 1; Outer Hochebenkar Profile 1 Stone 10; Outer Hochebenkar Profile 1 Stone 2; Outer Hochebenkar Profile 1 Stone 3; Outer Hochebenkar Profile 1 Stone 4; Outer Hochebenkar Profile 1 Stone 5; Outer Hochebenkar Profile 1 Stone 6; Outer Hochebenkar Profile 1 Stone 7; Outer Hochebenkar Profile 1 Stone 8; Outer Hochebenkar Profile 1 Stone 9; Outer Hochebenkar Profile 2 Stone 1; Outer Hochebenkar Profile 2 Stone 10; Outer Hochebenkar Profile 2 Stone 11; Outer Hochebenkar Profile 2 Stone 12; Outer Hochebenkar Profile 2 Stone 2; Outer Hochebenkar Profile 2 Stone 3; Outer Hochebenkar Profile 2 Stone 4; Outer Hochebenkar Profile 2 Stone 5; Outer Hochebenkar Profile 2 Stone 6; Outer Hochebenkar Profile 2 Stone 7; Outer Hochebenkar Profile 2 Stone 8; Outer Hochebenkar Profile 2 Stone 9; Outer Hochebenkar Profile 3 Stone 1; Outer Hochebenkar Profile 3 Stone 10; Outer Hochebenkar Profile 3 Stone 11; Outer Hochebenkar Profile 3 Stone 12; Outer Hochebenkar Profile 3 Stone 2; Outer Hochebenkar Profile 3 Stone 3; Outer Hochebenkar Profile 3 Stone 4; Outer Hochebenkar Profile 3 Stone 5; Outer Hochebenkar Profile 3 Stone 6; Outer Hochebenkar Profile 3 Stone 7; Outer Hochebenkar Profile 3 Stone 8; Outer Hochebenkar Profile 3 Stone 9; Profile ID
    Materialart: Dataset
    Format: text/tab-separated-values, 306 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 38
    facet.materialart.
    Unbekannt
    Basic measurements of radiation at station Lindenberg (2022-04) (2024)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publikationsdatum: 2024-07-09
    Schlagwort(e): Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP22, SN 130495, WRMC No. 12024; Pyranometer, Kipp & Zonen, CMP22, SN 170558, WRMC No. 12028; Pyrgeometer, Kipp & Zonen, CGR4, SN 170262, WRMC No. 12026; Pyrheliometer, Kipp & Zonen, CH1, SN 990220, WRMC No. 12012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Materialart: Dataset
    Format: text/tab-separated-values, 819872 data points
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    DATEN PANGAEA
  • 39
    facet.materialart.
    Unbekannt
    Surface Drifter Data on the Elbe estuary: Positions of Lagrangian Hereon Drifter D-318 deployed in German Bight during MOSES 2023 (2024)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: The MOSES Elbe 2023 experiment aims at following a water mass from the spring of the Elbe River in the Czech Republic, through the freshwater and tidal sections of the river, into the North Sea, where three ships (Mya II, Littorina, and Ludwig Prandtl) were used covering the marine environment in the German Bight (Sternfahrt 10). In order to follow the water mass from the Elbe estuary numerical simulations were performed to determine the likelihood of a variety of starting points for a drifter release experiment. At the first morning of the cruise model forecasts were used to determine the exact locations where drifters were to be released. The drifters were initially released in groups of three drifters and then supplemented at a later point of time. During the following two and a half weeks, the current drifter positions were revisited from the ships involved to take water samples.
    Schlagwort(e): Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Helmholtz_ChangingEarth; HYDREX-Stern10_D-318; Identification; LATITUDE; LONGITUDE; Ludwig Prandtl; Modular Observation Solutions for Earth Systems; MOSES; MOSES_2023_Elbe-NorthSea; MOSES_2023_Elbe-NorthSea_KON1
    Materialart: Dataset
    Format: text/tab-separated-values, 7381 data points
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    DATEN PANGAEA
  • 40
    facet.materialart.
    Unbekannt
    Surface Drifter Data on the Elbe estuary: Positions of Lagrangian Hereon Drifter D-324 deployed in German Bight during MOSES 2023 (2024)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: The MOSES Elbe 2023 experiment aims at following a water mass from the spring of the Elbe River in the Czech Republic, through the freshwater and tidal sections of the river, into the North Sea, where three ships (Mya II, Littorina, and Ludwig Prandtl) were used covering the marine environment in the German Bight (Sternfahrt 10). In order to follow the water mass from the Elbe estuary numerical simulations were performed to determine the likelihood of a variety of starting points for a drifter release experiment. At the first morning of the cruise model forecasts were used to determine the exact locations where drifters were to be released. The drifters were initially released in groups of three drifters and then supplemented at a later point of time. During the following two and a half weeks, the current drifter positions were revisited from the ships involved to take water samples.
    Schlagwort(e): Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Helmholtz_ChangingEarth; HYDREX-Stern10_D-324; Identification; LATITUDE; LONGITUDE; Ludwig Prandtl; Modular Observation Solutions for Earth Systems; MOSES; MOSES_2023_Elbe-NorthSea; MOSES_2023_Elbe-NorthSea_KON1
    Materialart: Dataset
    Format: text/tab-separated-values, 6904 data points
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    DATEN PANGAEA
  • 41
    facet.materialart.
    Unbekannt
    Elevation zones Hallstätter Gletscher, Dachstein, Austria, 2022/2023 (2024)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: The annual glacier mass balance of Hallstätter Gletscher in Austria is measured since 1.10.2006 with the direct glaciological method in the fixed date system (1.10. to 30. 09. of the following year). The accumulation of snow is measured by determination of the water equivalent in 6 snow pits, the ice ablation is measured with 15 stakes drilled into the ice. Results are the annual net mass balance in kg, the total accumulation and ablation, the glacier area and the portions of the area which are subject to ablation and accumulation, the elevation of the equilibrium line and the specific mass balance in kg/m² (= mm w.e.). The accumulation during the winter is determined by the 1 May. The project is funded by the Federal Government of Upper Austria. The measurements are carried out the Institute for Interdisciplinary Mountain Research of the Austrian Academy of Sciences and the company Blue Sky in Gmunden, Austria.
    Schlagwort(e): Alps; Austria; Dachstein; DATE/TIME; Elevation, maximum; Elevation, minimum; Glacier mass balance; Glaciers_austria; Hallstätter Gletscher, Dachstein, Austria; HSG; Mass balance, total of the altitude zone; Specific mass balance of the altitude zone; Specific mass balance of the altitude zone, summer; Specific mass balance of the altitude zone, winter; Total area of the altitude zone
    Materialart: Dataset
    Format: text/tab-separated-values, 84 data points
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    DATEN PANGAEA
  • 42
    facet.materialart.
    Unbekannt
    Surface Drifter Data on the Elbe estuary: Positions of Lagrangian Hereon Drifter D-309 deployed in German Bight during MOSES 2023 (2024)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: The MOSES Elbe 2023 experiment aims at following a water mass from the spring of the Elbe River in the Czech Republic, through the freshwater and tidal sections of the river, into the North Sea, where three ships (Mya II, Littorina, and Ludwig Prandtl) were used covering the marine environment in the German Bight (Sternfahrt 10). In order to follow the water mass from the Elbe estuary numerical simulations were performed to determine the likelihood of a variety of starting points for a drifter release experiment. At the first morning of the cruise model forecasts were used to determine the exact locations where drifters were to be released. The drifters were initially released in groups of three drifters and then supplemented at a later point of time. During the following two and a half weeks, the current drifter positions were revisited from the ships involved to take water samples.
    Schlagwort(e): Changing Earth – Sustaining our Future; DATE/TIME; DEPTH, water; DRIFT; Drifter; Helmholtz_ChangingEarth; HYDREX-Stern10_D-309; Identification; LATITUDE; LONGITUDE; Ludwig Prandtl; Modular Observation Solutions for Earth Systems; MOSES; MOSES_2023_Elbe-NorthSea; MOSES_2023_Elbe-NorthSea_KON1
    Materialart: Dataset
    Format: text/tab-separated-values, 2408 data points
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    DATEN PANGAEA
  • 43
    facet.materialart.
    Unbekannt
    Sedimentation rate of sediment cores Figino19-2 from lake Lugano, Switzerland (2024)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Schlagwort(e): Age; AGE; Age model; Calculated; Denitrification; Depth, corrected; DEPTH, sediment/rock; diatom-bound nitrogen isotopes; eutrophication; Figino19-2; GC; Gravity corer; lacustrine sediments; Lake Lugano, Figino, Switzerland; Linear interpolation between tie points; N2 fixation; nitrogen cycle; Paleolimnology; Sample comment; Sedimentation rate per year
    Materialart: Dataset
    Format: text/tab-separated-values, 211 data points
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    DATEN PANGAEA
  • 44
    facet.materialart.
    Unbekannt
    Diatom-bound nitrogen isotope analyses of sediment cores Figino19-2 from lake Lugano, Switzerland (2024)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Schlagwort(e): Accumulation rate, total organic carbon per year; Age; AGE; Age model; Calculated; Carbon, inorganic, total; Carbon, organic, total; Carbon, organic, total/Nitrogen, total ratio; Denitrification; Density, dry bulk; Depth, corrected; DEPTH, sediment/rock; diatom-bound nitrogen isotopes; Elemental Analysis - Isotope Ratio Mass Spectrometry (EA-IRMS), Thermo Fisher Scientific, EA IsoLink CN - ConFlo IV - Delta V Plus; eutrophication; Figino19-2; GC; Gravity corer; lacustrine sediments; Lake Lugano, Figino, Switzerland; Linear interpolation between tie points; N2 fixation; Nitrogen, total; nitrogen cycle; Paleolimnology; Persulfate-denitrifier method according to Knapp et al. (2005); Sample comment; δ13C, total organic carbon; δ15N; δ15N, bulk sediment; δ15N, diatom-bound organic matter; δ15N, diatom-bound organic matter, standard deviation
    Materialart: Dataset
    Format: text/tab-separated-values, 766 data points
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    DATEN PANGAEA
  • 45
    facet.materialart.
    Unbekannt
    Glacier surface velocities of Kesselwandferner, 2020/2021 (2022)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: 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
    Schlagwort(e): DATE/TIME; GLAC; Glacial flow, horizontal; Glacial flow, vertical; Glacial flow velocity, horizontal, annual; Kesselwandferner; Kesselwandferner, Ötztaler Alpen, Austria; KWF; LATITUDE; Line; LONGITUDE; Sampling/measurements on glacier; UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator; Years
    Materialart: Dataset
    Format: text/tab-separated-values, 64 data points
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    DATEN PANGAEA
  • 46
    facet.materialart.
    Unbekannt
    Basic measurements of radiation at station Lindenberg (2020-01) (2022)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publikationsdatum: 2024-07-09
    Schlagwort(e): Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 010824, WRMC No. 12009; Pyranometer, Kipp & Zonen, CM22, SN 020073, WRMC No. 12014; Pyrgeometer, Kipp & Zonen, CGR4, SN 060028, WRMC No. 12019; Pyrheliometer, Kipp & Zonen, CH1, SN 990220, WRMC No. 12012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Materialart: Dataset
    Format: text/tab-separated-values, 846444 data points
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    DATEN PANGAEA
  • 47
    facet.materialart.
    Unbekannt
    Basic measurements of radiation at station Lindenberg (2018-01) (2020)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publikationsdatum: 2024-07-09
    Schlagwort(e): Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM22, SN 020073, WRMC No. 12014; Pyranometer, Kipp & Zonen, CM22, SN 020074, WRMC No. 12013; Pyrgeometer, Eppley, PIR, SN 32802F3, WRMC No. 12011; Pyrheliometer, Kipp & Zonen, CH1, SN 030340, WRMC No. 12016; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Materialart: Dataset
    Format: text/tab-separated-values, 825050 data points
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    DATEN PANGAEA
  • 48
    facet.materialart.
    Unbekannt
    Basic measurements of radiation at station Lindenberg (2018-06) (2020)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publikationsdatum: 2024-07-09
    Schlagwort(e): Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM22, SN 020073, WRMC No. 12014; Pyranometer, Kipp & Zonen, CM22, SN 020074, WRMC No. 12013; Pyrgeometer, Eppley, PIR, SN 32802F3, WRMC No. 12011; Pyrheliometer, Kipp & Zonen, CH1, SN 030340, WRMC No. 12016; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Materialart: Dataset
    Format: text/tab-separated-values, 818962 data points
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    DATEN PANGAEA
  • 49
    facet.materialart.
    Unbekannt
    Flow velocity records at rock glacier Outer Hochebenkar (Äußeres Hochebenkar), 2017 (2021)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: Surface velocities have been regularly monitored at the rock glacier in Outer Hochebenkar, Ötztal Alps, Austria since the early 1950s. This data collection provides surface velocity time series, showing mean profile velocities of four cross profiles since the beginning of the measurements. These data-series start in 2016 and is a continuation of Hartl et al. (2016), doi:10.1594/PANGAEA.861405.
    Schlagwort(e): Comment; DATE/TIME; Easting, local; ELEVATION; Event label; HEK_P0_S1; HEK_P0_S2; HEK_P0_S3; HEK_P0_S4; HEK_P0_S5; HEK_P0_S6; HEK_P1_S1; HEK_P1_S10; HEK_P1_S2; HEK_P1_S3; HEK_P1_S4; HEK_P1_S5; HEK_P1_S6; HEK_P1_S7; HEK_P1_S8; HEK_P1_S9; HEK_P2_S1; HEK_P2_S10; HEK_P2_S11; HEK_P2_S12; HEK_P2_S2; HEK_P2_S3; HEK_P2_S4; HEK_P2_S5; HEK_P2_S6; HEK_P2_S7; HEK_P2_S8; HEK_P2_S9; HEK_P3_S1; HEK_P3_S10; HEK_P3_S11; HEK_P3_S12; HEK_P3_S2; HEK_P3_S3; HEK_P3_S4; HEK_P3_S5; HEK_P3_S6; HEK_P3_S7; HEK_P3_S8; HEK_P3_S9; Identification; MULT; Multiple investigations; Northing, local; Ötztal, Tyrolian Alps, Austria; Outer Hochebenkar Profile 0 Stone 1; Outer Hochebenkar Profile 0 Stone 2; Outer Hochebenkar Profile 0 Stone 3; Outer Hochebenkar Profile 0 Stone 4; Outer Hochebenkar Profile 0 Stone 5; Outer Hochebenkar Profile 0 Stone 6; Outer Hochebenkar Profile 1 Stone 1; Outer Hochebenkar Profile 1 Stone 10; Outer Hochebenkar Profile 1 Stone 2; Outer Hochebenkar Profile 1 Stone 3; Outer Hochebenkar Profile 1 Stone 4; Outer Hochebenkar Profile 1 Stone 5; Outer Hochebenkar Profile 1 Stone 6; Outer Hochebenkar Profile 1 Stone 7; Outer Hochebenkar Profile 1 Stone 8; Outer Hochebenkar Profile 1 Stone 9; Outer Hochebenkar Profile 2 Stone 1; Outer Hochebenkar Profile 2 Stone 10; Outer Hochebenkar Profile 2 Stone 11; Outer Hochebenkar Profile 2 Stone 12; Outer Hochebenkar Profile 2 Stone 2; Outer Hochebenkar Profile 2 Stone 3; Outer Hochebenkar Profile 2 Stone 4; Outer Hochebenkar Profile 2 Stone 5; Outer Hochebenkar Profile 2 Stone 6; Outer Hochebenkar Profile 2 Stone 7; Outer Hochebenkar Profile 2 Stone 8; Outer Hochebenkar Profile 2 Stone 9; Outer Hochebenkar Profile 3 Stone 1; Outer Hochebenkar Profile 3 Stone 10; Outer Hochebenkar Profile 3 Stone 11; Outer Hochebenkar Profile 3 Stone 12; Outer Hochebenkar Profile 3 Stone 2; Outer Hochebenkar Profile 3 Stone 3; Outer Hochebenkar Profile 3 Stone 4; Outer Hochebenkar Profile 3 Stone 5; Outer Hochebenkar Profile 3 Stone 6; Outer Hochebenkar Profile 3 Stone 7; Outer Hochebenkar Profile 3 Stone 8; Outer Hochebenkar Profile 3 Stone 9; Profile ID
    Materialart: Dataset
    Format: text/tab-separated-values, 159 data points
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    DATEN PANGAEA
  • 50
    facet.materialart.
    Unbekannt
    Flow velocity records at rock glacier Outer Hochebenkar (Äußeres Hochebenkar), 2018 (2021)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: Surface velocities have been regularly monitored at the rock glacier in Outer Hochebenkar, Ötztal Alps, Austria since the early 1950s. This data collection provides surface velocity time series, showing mean profile velocities of four cross profiles since the beginning of the measurements. These data-series start in 2016 and is a continuation of Hartl et al. (2016), doi:10.1594/PANGAEA.861405.
    Schlagwort(e): DATE/TIME; Easting, local; ELEVATION; Event label; HEK_P0_S1; HEK_P0_S2; HEK_P0_S3; HEK_P0_S4; HEK_P0_S5; HEK_P0_S6; HEK_P1_S1; HEK_P1_S2; HEK_P1_S3; HEK_P1_S4; HEK_P1_S5; HEK_P1_S6; HEK_P1_S7; HEK_P1_S8; HEK_P1_S9; HEK_P2_S1; HEK_P2_S10; HEK_P2_S11; HEK_P2_S12; HEK_P2_S2; HEK_P2_S3; HEK_P2_S4; HEK_P2_S5; HEK_P2_S6; HEK_P2_S7; HEK_P2_S8; HEK_P2_S9; HEK_P3_S1; HEK_P3_S10; HEK_P3_S11; HEK_P3_S12; HEK_P3_S2; HEK_P3_S3; HEK_P3_S4; HEK_P3_S5; HEK_P3_S6; HEK_P3_S7; HEK_P3_S8; HEK_P3_S9; Identification; MULT; Multiple investigations; Northing, local; Ötztal, Tyrolian Alps, Austria; Outer Hochebenkar Profile 0 Stone 1; Outer Hochebenkar Profile 0 Stone 2; Outer Hochebenkar Profile 0 Stone 3; Outer Hochebenkar Profile 0 Stone 4; Outer Hochebenkar Profile 0 Stone 5; Outer Hochebenkar Profile 0 Stone 6; Outer Hochebenkar Profile 1 Stone 1; Outer Hochebenkar Profile 1 Stone 2; Outer Hochebenkar Profile 1 Stone 3; Outer Hochebenkar Profile 1 Stone 4; Outer Hochebenkar Profile 1 Stone 5; Outer Hochebenkar Profile 1 Stone 6; Outer Hochebenkar Profile 1 Stone 7; Outer Hochebenkar Profile 1 Stone 8; Outer Hochebenkar Profile 1 Stone 9; Outer Hochebenkar Profile 2 Stone 1; Outer Hochebenkar Profile 2 Stone 10; Outer Hochebenkar Profile 2 Stone 11; Outer Hochebenkar Profile 2 Stone 12; Outer Hochebenkar Profile 2 Stone 2; Outer Hochebenkar Profile 2 Stone 3; Outer Hochebenkar Profile 2 Stone 4; Outer Hochebenkar Profile 2 Stone 5; Outer Hochebenkar Profile 2 Stone 6; Outer Hochebenkar Profile 2 Stone 7; Outer Hochebenkar Profile 2 Stone 8; Outer Hochebenkar Profile 2 Stone 9; Outer Hochebenkar Profile 3 Stone 1; Outer Hochebenkar Profile 3 Stone 10; Outer Hochebenkar Profile 3 Stone 11; Outer Hochebenkar Profile 3 Stone 12; Outer Hochebenkar Profile 3 Stone 2; Outer Hochebenkar Profile 3 Stone 3; Outer Hochebenkar Profile 3 Stone 4; Outer Hochebenkar Profile 3 Stone 5; Outer Hochebenkar Profile 3 Stone 6; Outer Hochebenkar Profile 3 Stone 7; Outer Hochebenkar Profile 3 Stone 8; Outer Hochebenkar Profile 3 Stone 9; Profile ID
    Materialart: Dataset
    Format: text/tab-separated-values, 156 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
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