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  • Data  (3)
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  • 1
    Publication Date: 2023-03-17
    Description: During two field sampling campaigns in May and June/July 2020, we collected 111 water samples for total alkalinity and DIC (dissolved inorganic carbon) analysis in Germany (Möhnetal, Black Forest and Oberpfalz) and in the Alps in Switzerland, Italy and Austria, at locations for which 10Be measurements are available. In the field, we also recorded water temperature, electrical conductivity and turbidity.
    Keywords: Alkalinity, total; Alpen2020; Alpen2020_Stat_101; Alpen2020_Stat_102; Alpen2020_Stat_103; Alpen2020_Stat_104; Alpen2020_Stat_105; Alpen2020_Stat_106; Alpen2020_Stat_107; Alpen2020_Stat_111; Alpen2020_Stat_112; Alpen2020_Stat_113; Alpen2020_Stat_114; Alpen2020_Stat_74; Alpen2020_Stat_75; Alpen2020_Stat_76; Alpen2020_Stat_77; Alpen2020_Stat_78; Alpen2020_Stat_79; Alpen2020_Stat_80; Alpen2020_Stat_81; Alpen2020_Stat_83; Alpen2020_Stat_90; Alpen2020_Stat_aa; Alpen2020_Stat_ab; Alpen2020_Stat_ac; Alpen2020_Stat_ad; Alpen2020_Stat_ae; Alpen2020_Stat_af; Alpen2020_Stat_ag; Alpen2020_Stat_ai; Alpen2020_Stat_aj; Alpen2020_Stat_ak; Alpen2020_Stat_al; Alpen2020_Stat_av; Alpen2020_Stat_aw; Alpen2020_Stat_ay; Alpen2020_Stat_ba; Alpen2020_Stat_bb; Alpen2020_Stat_bc; Alpen2020_Stat_be; Alpen2020_Stat_e; Alpen2020_Stat_u; Alpen2020_Stat_v; Alpen2020_Stat_w; Alpen2020_Stat_y; Alpen2020_Stat_z; BOD; BOD bottle (300 ml); Campaign of event; Carbon, inorganic, dissolved; Conductivity, electrical; Date/Time of event; DEPTH, water; Event label; Helmholtz-Zentrum Hereon; Hereon; HYDCAST; Hydrocast; In-situ measurement; Latitude of event; Longitude of event; Method/Device of event; Potentiometric titration (Metrohm 888 Titrando with an Aquatrode pH probe); Salinity; Schwarzwald2020; Schwarzwald2020_Stat_73; Schwarzwald2020_Stat_am; Schwarzwald2020_Stat_an; Schwarzwald2020_Stat_D1; Schwarzwald2020_Stat_D10; Schwarzwald2020_Stat_D11; Schwarzwald2020_Stat_D12; Schwarzwald2020_Stat_D13; Schwarzwald2020_Stat_D14; Schwarzwald2020_Stat_D16; Schwarzwald2020_Stat_D17; Schwarzwald2020_Stat_D18; Schwarzwald2020_Stat_D19; Schwarzwald2020_Stat_D2; Schwarzwald2020_Stat_D20; Schwarzwald2020_Stat_D21; Schwarzwald2020_Stat_D22; Schwarzwald2020_Stat_D23; Schwarzwald2020_Stat_D24; Schwarzwald2020_Stat_D25; Schwarzwald2020_Stat_D26; Schwarzwald2020_Stat_D27; Schwarzwald2020_Stat_D28; Schwarzwald2020_Stat_D29; Schwarzwald2020_Stat_D3; Schwarzwald2020_Stat_D30; Schwarzwald2020_Stat_D31; Schwarzwald2020_Stat_D32; Schwarzwald2020_Stat_D33; Schwarzwald2020_Stat_D34; Schwarzwald2020_Stat_D35; Schwarzwald2020_Stat_D36; Schwarzwald2020_Stat_D37; Schwarzwald2020_Stat_D38; Schwarzwald2020_Stat_D40; Schwarzwald2020_Stat_D41; Schwarzwald2020_Stat_D44; Schwarzwald2020_Stat_D45; Schwarzwald2020_Stat_D47; Schwarzwald2020_Stat_D49; Schwarzwald2020_Stat_D5; Schwarzwald2020_Stat_D50; Schwarzwald2020_Stat_D51; Schwarzwald2020_Stat_D52; Schwarzwald2020_Stat_D53; Schwarzwald2020_Stat_D54; Schwarzwald2020_Stat_D55; Schwarzwald2020_Stat_D56; Schwarzwald2020_Stat_D57; Schwarzwald2020_Stat_D58; Schwarzwald2020_Stat_D59; Schwarzwald2020_Stat_D6; Schwarzwald2020_Stat_D60; Schwarzwald2020_Stat_D61; Schwarzwald2020_Stat_D63; Schwarzwald2020_Stat_D64; Schwarzwald2020_Stat_D67; Schwarzwald2020_Stat_D68; Schwarzwald2020_Stat_D69; Schwarzwald2020_Stat_D7; Schwarzwald2020_Stat_D70; Schwarzwald2020_Stat_D71; Schwarzwald2020_Stat_D72; Schwarzwald2020_Stat_D73; Schwarzwald2020_Stat_D74; Schwarzwald2020_Stat_D9; Temperature, water; Turbidity (Formazin nephelometric unit); VINDTA 3C for AT and Dissolved Inorganic Carbon measurement
    Type: Dataset
    Format: text/tab-separated-values, 666 data points
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2024-05-14
    Description: From September 22nd to October 6th 2020, we collected water samples daily from the outlet of the Gaskabohki catchment, a small subarctic watershed at the mountainside of Iskorasfjellet in northern Norway, to investigate how DIC (dissolved inorganic carbon) and AT (total alkalinity) may change under different environmental forcing (changing precipitation and temperature). We further sampled weekly (3x) at three stations upstream of the outlet to track the changes of the carbonate system with distance from the spring. Besides this temporal examination, we also expanded the investigation spatially, by collecting water samples from seven further catchments, some of which stretch as far as the Barents Sea with different lithologies and varying extent of permafrost. At all sampling sites, we collected water samples for DIC and AT, δ13C-DIC, major and trace elements, and stable water isotopes (δ18O-H2O and δ2H-H2O). We also recorded water temperature, electrical conductivity and turbidity. Finally, at the outlet of the Gaskabohki catchment, we performed a discharge measurement once a day, at the same time as taking the water samples.
    Keywords: Alkalinity, total; Aluminium; Barium; Bromine; Calcium; Carbon, inorganic, dissolved; Catchment name; Cavity ring-down spectroscopy; Chloride; Conductivity, specific; Continuous Flow Isotope Ratio Mass Spectrometry (CF/IRMS); CRDS; DATE/TIME; DEPTH, water; Discharge; Event label; Fluoride; Helmholtz-Zentrum Hereon; Hereon; Inductively coupled plasma optical emission spectrometry (ICP-OES), Perkin-Elmer, Optima 8300DV; Ion chromatography; Iron; Iskorasfjellet, Norway; Isk-R-Ga1; Isk-R-Ga10; Isk-R-Ga11; Isk-R-Ga3; Isk-R-Ga5; Isk-R-Ga9; Isk-R-Ka1; Isk-R-Ka2; Isk-R-Ka3; Isk-R-Ka4; Isk-R-Ka5; LATITUDE; LONGITUDE; Magnesium; Manganese; Marsh-McBirney Model 2000 Flo-Mate portable flow meter; Multi-parameter meter, 3430 WTW; Nitrate; NO_Land_2020_Isokas; NO_Land_2020_Isokas_Stat_Isk-R-Ga1; NO_Land_2020_Isokas_Stat_Isk-R-Ga10; NO_Land_2020_Isokas_Stat_Isk-R-Ga11; NO_Land_2020_Isokas_Stat_Isk-R-Ga3; NO_Land_2020_Isokas_Stat_Isk-R-Ga5; NO_Land_2020_Isokas_Stat_Isk-R-Ga9; NO_Land_2020_Isokas_Stat_Isk-R-Ka1; NO_Land_2020_Isokas_Stat_Isk-R-Ka2; NO_Land_2020_Isokas_Stat_Isk-R-Ka3; NO_Land_2020_Isokas_Stat_Isk-R-Ka4; NO_Land_2020_Isokas_Stat_Isk-R-Ka5; Phosphorus; Potassium; Potentiometric titration (Metrohm 888 Titrando with an Aquatrode pH probe); Sample code/label; Sample method; Silicon; Sodium; Station label; Strontium; Sulfate; Temperature, water; Turbidity (Formazin nephelometric unit); Turbidity meter, 2100Qis, Hach Lange GmbH; VINDTA 3C for AT and Dissolved Inorganic Carbon measurement; Water sample; WS; δ13C, dissolved inorganic carbon; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 1347 data points
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2024-06-03
    Description: The erosional influence on terrestrial alkalinity generation globally has been discussed over the last decades. In regional studies, long-term catchment-average denudation rates, determined from the concentration of the cosmogenic nuclide 10Be, have proven to be a powerful tool to quantify how physical erosion rates impact chemical weathering rates. Despite this, little research has been done relating 10Be-derived physical erosion rates with riverine alkalinity concentrations at a global scale. Our dataset aims to fill this gap by matching 10Be erosion rates with alkalinity measurements from 233 locations on six continents, covering latitudes from 44 °S to 51 °N. The locations of published 10Be erosion rates were extracted from the OCTOPUS database (doi:10.5194/essd-10-2123-2018) and either assigned alkalinity concentrations from published manuscripts, the GLORICH database (doi:10.1594/PANGAEA.902360), governmental agencies, or sampled ourselves. Our dataset comprises erosion rates spanning 4 orders of magnitude (2-9829 mm ka-1) and single and time-series measurements of alkalinity (1-3940 measurements per location) covering a large concentration range (4-4626 μmol L-1). We complemented the point sampling measurements of erosion rate and alkalinity concentration with the spatial description of runoff, lithology, temperature, precipitation, permanent snow and ice cover, forest cover, soil thickness and area affected by dams, of the respective catchment upstream from the erosion rate measurement location.
    Keywords: Acher; Alaknanda; Alkalinity, normalized; Alkalinity, total; Alkalinity, total, standard deviation; Anton_Riv; Anza; Apennines; Appalachian Mts.; Appalachian Piedmont; Ardeche_Riv; Area/locality; Avisio; Based on Global depth to bedrock (DTB) dataset; Based on Global lithological map database (GLiM); Based on GlobCover; Based on OCTOPUS data base; Based on UNH/GRDC runoff composites; Based on WorldClim 2; Basin; Bernese Oberland; Bhudi_Gandaki; Black Forest; Bonne; Carbon, inorganic, dissolved; Carbonate sedimentary rocks; Carti_Grande_Riv; Catchment, affected by dams; Catchment area; Cenral Andes; Central; Central-East; Central Eastern Alps; Central Idaho Mts.; Central Range; Ceze_Riv; Chagres; Chagres_Riv; Chattahoochee_Riv; Chico_Riv; Chietalbach; Choshui_Riv; Cobre_Riv; Comment; Conductivity, electrical; Country; Cuango; Dan_Riv; Danube; Danube catchment; Diablo_Riv; Dreisam_Riv; Durance_Riv; Eastern; Eastern Alps; Eastern Cape; ELEVATION; Emilia Apennines; Emme; Enza_Riv; Erosion rate; Erosion rate, standard deviation; Evaporite; Event label; Eyrieux_Riv; Feldberg; Felix_Riv; Furkareuss; Ganges; Gard_Riv; GOODD (global dataset of more than 38,000 georeferenced dams); Grande_Riv; Guiers_Riv; Guil; Gulf of Lion; Gutach; Helmholtz-Zentrum Hereon; Herault_Riv; Hereon; Heve; Himalaya; Hokitika_Riv; Hollersbch; Hsinwulu_Riv; Hsueshan Range; Ice and glaciers; Identification; Isere_Riv; Itajai_do_Sul_Riv; Jequitinhonha; Kander_Riv; Karangaru_Riv; Keurbooms_Riv; Khudi; Kleine_Emme; Koralpe_Mts; LATITUDE; LONGITUDE; Lonza; Luyeh_Riv; Marsyandi; Marsyandi Basin; Mengong_Riv; Metamorphite; Meuse; Middle Europe; Milibach; Mohne; Muelbach; Mugua_Riv; MULT; Multiple investigations; Muriae_Riv; Namche Barwa-Gyala Peri Massif; Napo; Napo Riv., Upper Amazon Basin; Nar; Neckar; Nepalese Himalaya; Northwest; Number of measurements; Nyang_Riv; Nyong_Riv; Pacora_Riv; Pequini_Riv; Plutonic rocks, acidic; Plutonic rocks, basic; Plutonic rocks, intermediate; Po_Riv; Po floodplain; Pomba_Riv; Precipitation, annual mean; Pyroclastics; Reference/source; Regen; Reno_Riv; Rhenish Massif; Rhine catchment; Rhone_Riv; Rio_Hercilio; Rio_Itajai-Acu; Rio_Lagorai; Rio de Janeiro; Rohalo_Riv; Romanche; Runoff; Saint_Pierre; Salankhu_Riv; Salmon; Saluda_Riv; Sambro_Riv; Sample ID; San_Miguel_Riv; San_Pablo_Riv; Santa_Maria_Riv; Santa Catarina; Secchia_Riv; Sedimentary rock; Sediments; Sense; Seti_Riv; Setta_Riv; Severaisse; Siliciclastic sedimentary rocks; Simme_Riv; Slope gradient, mean; Snow and ice, permanent; So_o_Riv; Soil thickness; South Cameroon; Southern Espinhaco Range; Styrian_Basin; Sum; Susquehanna; Swiss Alps; Tabasar_Riv; Taro_Riv; Tauernbach; Tech_Riv; Temperature, annual mean; Temperature, water; Toce; Toce_Riv; Trebbia_Riv; Trishuli_Riv; Turbidity (Formazin nephelometric unit); Upper_Rhone; Upper Ganges; Veneon; Vigui_Riv; Vispa_Riv; Volcanic rocks, acidic; Volcanic rocks, basic; Volcanic rocks, intermediate; Water bodies; Wattenbach; West Coast, Soutern Island; Western Alps; Western Central Alps; Western French Alps; Whataroa_Riv; Whole_Reno_basin; Wutach; Yarlung_Tsangpo
    Type: Dataset
    Format: text/tab-separated-values, 10929 data points
    Location Call Number Limitation Availability
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