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  • Forschungsdaten  (423.197)
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  • 1
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    Cabo de Gata-Nίjar Natural Park, Spain (2005) - a (hyperspectral) dataset for active participation in the HYPERedu MOOC on soil applications (2024)
    GFZ Data Services
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: Abstract
    Beschreibung: The dataset contains a subset of an airborne hyperspectral HyMap image over the Cabo de Gata-Nίjar Natural Park in Spain from 15.06.2005, and soil wet chemistry data based on in-situ soil sampling. The Cabo de Gata-Nίjar Natural Park is a semi-arid mediterranean area in Southern Spain, sparsely populated and with a range of landscape patterns. The soils in this area are developed on volcanic and carbonatic bedrocks and are highly variable in their textural and mineralogical composition, offering interesting spectral variability. The airborne survey was acquired during a DLR / HyVista HyEurope campaign. The image dataset is fully processed for atmospheric and geometric correction with PARGE and ATCOR and is provided as orthorectified reflectance in BSQ format. Spatial resolution is 5 m and spectral coverage is 0.45-2.45 μm with 12-17 nm spectral sampling. In addition to the HyMap imagery, this dataset contains two soil reference datasets as CSV files, namely in-situ data for clay content and iron content. The dataset is made publicly available as part of the Massive Open Online Course (MOOC) "Beyond the Visible - Imaging Spectroscopy for Soil Applications ", available from Spring 2024. Guidance on how to derive semiquantitative and quantitative soil maps (clay and iron content) using the EnMAP-Box (QGIS plugin) EnSoMAP tool are provided as videos at the HYPERedu YouTube channel (https://www.youtube.com/@HYPERedu_GFZ/playlists) and the soil MOOC course pages (https://eo-college.org/courses/beyond-the-visible-imaging-spectroscopy-for-soil-applications/).
    Beschreibung: Other
    Beschreibung: HYPERedu is an education initiative within the Environmental Mapping and Analysis Program (EnMAP), a German hyperspectral satellite mission that aims at monitoring and characterizing the Earth’s environment on a global scale. EnMAP serves to measure and model key dynamic processes of the Earth’s ecosystems by extracting geochemical, biochemical and biophysical variables, which provide information on the status and evolution of various terrestrial and aquatic ecosystems.
    Schlagwort(e): hyperspectral ; hyperspectral imagery ; imaging spectroscopy ; HyMap airborne imagery ; Cabo de Gata-Nίjar ; Spain ; Mediterranean ; soil ; clay ; DEM ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Spectrometers/Radiometers ; EARTH SCIENCE 〉 SPECTRAL/ENGINEERING
    Materialart: Dataset , Dataset
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN GFZ
  • 2
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    Unbekannt
    Demmin, Germany (2015) - a (hyperspectral) dataset for active participation in the HYPERedu MOOC on soil applications (2024)
    GFZ Data Services
    Details
    Publikationsdatum: 2024-07-09
    Beschreibung: Abstract
    Beschreibung: This dataset accompanying the MOOC on soil applications contains an airborne hyperspectral HySpex image over the study site Demmin in Northern Germany which was recorded in October 2015. The surrounding area of Demmin is characterized by its glacial past and is largely used for agriculture. Here you can find relics of the ice age such as kettle holes - small, completely closed hollow shapes whose formation is attributed to the burial and subsequent thawing of an ice lens. Mostly overgrown nowadays by vegetation, SOC accumulates in these areas and higher contents are measured. The image dataset is fully pre-processed – all non-soil pixels are masked, the spectra were smoothed using a Savitzky-Golay Filter and transformed to first derivatives – and provided in BSQ format. In addition to the HySpex image, this dataset contains a point data shapefile with 27 sampling locations, as well as information on the soil organic carbon (SOC) contents [g/kg]. The dataset is made publicly available as part of the Massive Open Online Course (MOOC) "Beyond the Visible - Imaging Spectroscopy for Soil Applications ", available from Spring 2023. Guidance on how to derive quantitative soil maps (SOC content) using the EnMAP-Box (QGIS plugin) are provided as videos at the HYPERedu YouTube channel, the soil MOOC course pages and the regression workflow documentation.
    Beschreibung: Other
    Beschreibung: HYPERedu is an education initiative within the Environmental Mapping and Analysis Program (EnMAP), a German hyperspectral satellite mission that aims at monitoring and characterizing the Earth’s environment on a global scale. EnMAP serves to measure and model key dynamic processes of the Earth’s ecosystems by extracting geochemical, biochemical and biophysical variables, which provide information on the status and evolution of various terrestrial and aquatic ecosystems.
    Schlagwort(e): hyperspectral ; hyperspectral imagery ; imaging spectroscopy ; HySpex airborne imagery ; Demmin ; Germany ; soil ; SOC ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Spectrometers/Radiometers ; EARTH SCIENCE 〉 SPECTRAL/ENGINEERING
    Materialart: Dataset , Dataset
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN GFZ
  • 3
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    Unbekannt
    Glacier surface velocities in the Ötztal Alps (Austria) (2018)
    PANGAEA
    In:  Supplement to: Stocker-Waldhuber, Martin; Fischer, Andrea; Helfricht, Kay; Kuhn, Michael (2019): Long-term records of glacier surface velocities in the Ötztal Alps (Austria). Earth System Science Data, 11(2), 705-715, https://doi.org/10.5194/essd-11-705-2019
    Details
    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. The data series continues annually, see: doi:10.1594/PANGAEA.928360.
    Materialart: Dataset
    Format: application/zip, 4 datasets
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 4
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    Heterotrophic carbon production of planktonic prokaryotes in the water column during cruise ECO2-6 (2013)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Schlagwort(e): Bottle, Niskin 5-L; bottle/B1; bottle/B2; Date/Time of event; DEPTH, water; ECO2; ECO2-6; ECO2-6-19; ECO2-6-6; Elevation of event; Event label; Incorporation of radioactive label (Smith and Azam, 1992); Latitude of event; Longitude of event; NIS_5L; Panarea; Prokaryotes, production; Sub-seabed CO2 Storage: Impact on Marine Ecosystems
    Materialart: Dataset
    Format: text/tab-separated-values, 6 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 5
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    Geochemistry of B3 field (southern Baltic Sea) sediment core StBar-2012-3-15a (2014)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Schlagwort(e): Alkalinity, total; Ammonium; B3 field site; Carbon, inorganic, dissolved; Core section label; DEPTH, sediment/rock; ECO2; Hydrogen sulfide; Methane, sediment; NC; Niemistoe corer; Phosphate; St. Barbara; StBar-2012-3; StBar-2012-3-15; StBar-2012-3-15a; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Sulfate
    Materialart: Dataset
    Format: text/tab-separated-values, 46 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 6
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    Unbekannt
    Geochemistry of B3 field (southern Baltic Sea) sediment core StBar-2012-3-19a (2014)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Schlagwort(e): Alkalinity, total; Ammonium; B3 field site; Carbon, inorganic, dissolved; Core section label; DEPTH, sediment/rock; ECO2; Hydrogen sulfide; Methane, sediment; NC; Niemistoe corer; Phosphate; St. Barbara; StBar-2012-3; StBar-2012-3-19; StBar-2012-3-19a; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Sulfate
    Materialart: Dataset
    Format: text/tab-separated-values, 46 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 7
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    Geochemistry of B3 field (southern Baltic Sea) sediment core StBar-2012-3-22a (2014)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Schlagwort(e): Alkalinity, total; Ammonium; B3 field site; Carbon, inorganic, dissolved; Core section label; DEPTH, sediment/rock; ECO2; Hydrogen sulfide; Methane, sediment; NC; Niemistoe corer; Phosphate; St. Barbara; StBar-2012-3; StBar-2012-3-22; StBar-2012-3-22a; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Sulfate
    Materialart: Dataset
    Format: text/tab-separated-values, 46 data points
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    DATEN PANGAEA
  • 8
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    Continuous pCO2 measurements with a multiple fibre optics device at station MUFO-6 during cruise ECO2-8 (2015)
    PANGAEA
    Details
    Publikationsdatum: 2024-07-09
    Schlagwort(e): Carbon dioxide, partial pressure; DATE/TIME; DEPTH, water; ECO2; ECO2-8; ECO2-8-MUFO-6; MUFO; Multi fibre optics sensor mooring; Panarea; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Zodiac
    Materialart: Dataset
    Format: text/tab-separated-values, 1036 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 9
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    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
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    DATEN PANGAEA
  • 10
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    Water chemistry of Lagrangian samplings of Inland Elbe 2023 (MOSES Hydrological Extremes) (2023)
    PANGAEA
    In:  Helmholtz Centre for Environmental Research - UFZ
    Details
    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
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