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Ebeling, Anna; Rust, Bettina; Klein, Ole; El Gareb, Fadi Ragea; Erbslöh, Hans-Burkhard; Pieper, Andrea; Pröfrock, Daniel (2023): Trace metal distribution for water samples of Ludwig Prandtl cruise LP20200629 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.963880

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Published: 2023-12-05 • DOI registered: 2024-01-03

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Abstract:
Offshore wind energy is a steadily growing sector contributing to the worldwide energy production. The impact of these offshore constructions on the marine environment, however, remains unclear in many aspects. In fact, little is known about potential emissions from corrosion protection systems such as organic coatings or galvanic anodes composed of Al and Zn alloys, used to protect offshore structures. In order to assess potential chemical emissions from offshore wind farms and their impact on the marine environment water and sediment samples were taken in and around offshore wind farms of the German Bight between 22.07.2020 and 25.07.2020 within the context of the Hereon-BSH project OffChEm. The water samples were taken in metal-free GO-FLO sampling bottles, filtered over <0.45 µm polycarbonate filters into pre-cleaned LDPE bottles and acidified with nitric acid. The filtrates were then measured for their (trace) metal concentrations with ICP-MS/MS coupled online to a seaFAST preconcentration and matrix removal system.
Related to:
Ebeling, Anna; Klein, Ole; El Gareb, Fadi Ragea; Erbslöh, Hans-Burkhard; Pröfrock, Daniel (2023): Oceanographic parameters for the sample stations of Ludwig Prandtl cruise LP20200629 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.963874
Ebeling, Anna; Petrauskas, Catharina; Kruse, Madita; Rust, Bettina; Pieper, Andrea; Klein, Ole; El Gareb, Fadi Ragea; Erbslöh, Hans-Burkhard; Pröfrock, Daniel (2023): Metal distribution for sediment samples of Ludwig Prandtl cruise LP20200629 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.963886
Ebeling, Anna; Wippermann, Dominik; Zimmermann, Tristan; Klein, Ole; Kirchgeorg, Torben; Weinberg, Ingo; Plass, Anna; Hasenbein, Simone; Pröfrock, Daniel (2025): Coupling metal concentrations and drift simulations for tracing emissions from offshore wind farms. Marine Pollution Bulletin, 214, 117810, https://doi.org/10.1016/j.marpolbul.2025.117810
Ebeling, Anna; Zimmermann, Tristan; Klein, Ole; Irrgeher, Johanna; Pröfrock, Daniel (2022): Analysis of Seventeen Certified Water Reference Materials for Trace and Technology‐Critical Elements. Geostandards and Geoanalytical Research, 46(2), 351-378, https://doi.org/10.1111/ggr.12422
Petrauskas, Catharina; Kruse, Madita; Klein, Ole; El Gareb, Fadi Ragea; Erbslöh, Hans-Burkhard; Ebeling, Anna; Pröfrock, Daniel (2024): Grain size distribution for sediment samples of Ludwig Prandtl cruise LP20200629 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.963878
Coverage:
Median Latitude: 54.303488 * Median Longitude: 7.621665 * South-bound Latitude: 53.884617 * West-bound Longitude: 6.964011 * North-bound Latitude: 54.575115 * East-bound Longitude: 8.697081
Date/Time Start: 2020-07-22T07:28:00 * Date/Time End: 2020-07-25T12:16:00
Minimum DEPTH, water: 5 m * Maximum DEPTH, water: 20 m
Event(s):
LP20200629_Stat_001_Kugelbake_KBA_WS (Stat_001_Kugelbake)  * Latitude: 53.884617 * Longitude: 8.697081 * Date/Time: 2020-07-22T07:28:00 * Elevation: -7.0 m * Location: North Sea * Campaign: LP20200629 * Basis: Ludwig Prandtl * Method/Device: Go-Flo bottles (GOFLO)
LP20200629_Stat_002_Lt_Vogelsand_KBA_WS (Stat_002_Lt_Vogelsand)  * Latitude: 53.966555 * Longitude: 8.496765 * Date/Time: 2020-07-22T08:49:00 * Elevation: -12.0 m * Location: North Sea * Campaign: LP20200629 * Basis: Ludwig Prandtl * Method/Device: Go-Flo bottles (GOFLO)
LP20200629_Stat_003_CuxSyl01_KBA_WS (Stat_003_CuxSyl01)  * Latitude: 54.117958 * Longitude: 8.476986 * Date/Time: 2020-07-22T11:01:00 * Elevation: -10.0 m * Location: North Sea * Campaign: LP20200629 * Basis: Ludwig Prandtl * Method/Device: Go-Flo bottles (GOFLO)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1 Event labelEventEbeling, Anna
2 Sample code/labelSample labelEbeling, Anna
3 International Generic Sample NumberIGSNEbeling, Anna
4 Station labelStationEbeling, Anna
5 DEPTH, waterDepth watermEbeling, AnnaGeocode
6 Latitude of eventLatitudeEbeling, Anna
7 Longitude of eventLongitudeEbeling, Anna
8 Date/Time of eventDate/TimeEbeling, Anna
9 Method/Device of eventMethod/DeviceEbeling, Anna
10 Elevation of eventElevationmEbeling, Anna
11 LATITUDELatitudeEbeling, AnnaGeocode
12 LONGITUDELongitudeEbeling, AnnaGeocode
13 Gadolinium anomalyGd/Gd*Ebeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, quality flag: 0
14 Gadolinium anomaly, uncertaintyGd/Gd* unc±Ebeling, Anna
15 Gadolinium, anthropogenicGd anthrop%Ebeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, quality flag: 0
16 Gadolinium, anthropogenic, uncertaintyGd anthrop unc±Ebeling, Anna
17 Quality assessmentQuality assessmentEbeling, Annaof Gadolinium anthropogenic amount
18 TitaniumTing/lEbeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, limit of detection: 1.7 ng/l, limit of quantification: 4.3 ng/l
19 Titanium, standard deviationTi std dev±Ebeling, Anna
20 YttriumYng/lEbeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, limit of detection: 0.027 ng/l, limit of quantification: 0.078 ng/l
21 Yttrium, standard deviationY std dev±Ebeling, Anna
22 LanthanumLang/lEbeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, limit of detection: 0.069 ng/l, limit of quantification: 0.19 ng/l
23 Lanthanum, standard deviationLa std dev±Ebeling, Anna
24 CeriumCeng/lEbeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, limit of detection: 0.09 ng/l, limit of quantification: 0.24 ng/l
25 Cerium, standard deviationCe std dev±Ebeling, Anna
26 PraseodymiumPrng/lEbeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, limit of detection: 0.0083 ng/l, limit of quantification: 0.03 ng/l
27 Praseodymium, standard deviationPr std dev±Ebeling, Anna
28 NeodymiumNdng/lEbeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, limit of detection: 0.032 ng/l, limit of quantification: 0.087 ng/l
29 Neodymium, standard deviationNd std dev±Ebeling, Anna
30 SamariumSmng/lEbeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, limit of detection: 0.018 ng/l, limit of quantification: 0.074 ng/l
31 Samarium, standard deviationSm std dev±Ebeling, Anna
32 EuropiumEung/lEbeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, limit of detection: 0.038 ng/l, limit of quantification: 0.16 ng/l
33 Europium, standard deviationEu std dev±Ebeling, Anna
34 GadoliniumGdng/lEbeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, limit of detection: 0.013 ng/l, limit of quantification: 0.072 ng/l
35 Gadolinium, standard deviationGd std dev±Ebeling, Anna
36 TerbiumTbng/lEbeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, limit of detection: 0.001 ng/l, limit of quantification: 0.007 ng/l
37 Terbium, standard deviationTb std dev±Ebeling, Anna
38 DysprosiumDyng/lEbeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, limit of detection: 0.017 ng/l, limit of quantification: 0.05 ng/l
39 Dysprosium, standard deviationDy std dev±Ebeling, Anna
40 HolmiumHong/lEbeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, limit of detection: 0.0016 ng/l, limit of quantification: 0.0084 ng/l
41 Holmium, standard deviationHo std dev±Ebeling, Anna
42 ErbiumErng/lEbeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, limit of detection: 0.0054 ng/l, limit of quantification: 0.018 ng/l
43 Erbium, standard deviationEr std dev±Ebeling, Anna
44 ThuliumTmng/lEbeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, limit of detection: 0.0031 ng/l, limit of quantification: 0.014 ng/l
45 Thulium, standard deviationTm std dev±Ebeling, Anna
46 YtterbiumYbng/lEbeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, limit of detection: 0.092 ng/l, limit of quantification: 0.27 ng/l
47 Ytterbium, standard deviationYb std dev±Ebeling, Anna
48 LutetiumLung/lEbeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, limit of detection: 0.00068 ng/l, limit of quantification: 0.007 ng/l
49 Lutetium, standard deviationLu std dev±Ebeling, Anna
50 AluminiumAlng/lEbeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, limit of detection: 200 ng/l, limit of quantification: 450 ng/l
51 Aluminium, standard deviationAl std dev±Ebeling, Anna
52 VanadiumVng/lEbeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, limit of detection: 0.89 ng/l, limit of quantification: 2.2 ng/l
53 Vanadium, standard deviationV std dev±Ebeling, Anna
54 ManganeseMnng/lEbeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, limit of detection: 20 ng/l, limit of quantification: 55 ng/l
55 Manganese, standard deviationMn std dev±Ebeling, Anna
56 IronFeng/lEbeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, limit of detection: 270 ng/l, limit of quantification: 590 ng/l
57 Iron, standard deviationFe std dev±Ebeling, Anna
58 CobaltCong/lEbeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, limit of detection: 0.28 ng/l
59 Cobalt, standard deviationCo std dev±Ebeling, Anna
60 NickelNing/lEbeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, limit of detection: 23 ng/l, limit of quantification: 70 ng/l
61 Nickel, standard deviationNi std dev±Ebeling, Anna
62 CopperCung/lEbeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, limit of detection: 14 ng/l, limit of quantification: 38 ng/l
63 Copper, standard deviationCu std dev±Ebeling, Anna
64 ZincZnng/lEbeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, limit of detection: 89 ng/l, limit of quantification: 200 ng/l
65 Zinc, standard deviationZn std dev±Ebeling, Anna
66 GalliumGang/lEbeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, limit of detection: 0.28 ng/l, limit of quantification: 0.73 ng/l
67 Gallium, standard deviationGa std dev±Ebeling, Anna
68 MolybdenumMong/lEbeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, limit of detection: 2.2 ng/l, limit of quantification: 5.4 ng/l
69 Molybdenum, standard deviationMo std dev±Ebeling, Anna
70 CadmiumCdng/lEbeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, limit of detection: 0.22 ng/l, limit of quantification: 0.61 ng/l
71 Cadmium, standard deviationCd std dev±Ebeling, Anna
72 IndiumInng/lEbeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, limit of detection: 0.0089 ng/l, limit of quantification: 0.022 ng/l
73 Indium, standard deviationIn std dev±Ebeling, Anna
74 TinSnng/lEbeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, limit of detection: 1.7 ng/l
75 Tin, standard deviationSn std dev±Ebeling, Anna
76 TungstenWng/lEbeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, limit of detection: 0.15 ng/l, limit of quantification: 0.41 ng/l
77 Tungsten, standard deviationW std dev±Ebeling, Anna
78 LeadPbng/lEbeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, limit of detection: 0.26 ng/l, limit of quantification: 0.63 ng/l
79 Lead, standard deviationPb std dev±Ebeling, Anna
80 UraniumUng/lEbeling, AnnaICP-MS, Elemental Scientific, seaFASTmeasured in water column, < 0.45 µm filtrate, limit of detection: 0.27 ng/l, limit of quantification: 0.73 ng/l
81 Uranium, standard deviationU std dev±Ebeling, Anna
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
3140 data points

Data

Download dataset as tab-delimited text — use the following character encoding:

1 
Event		2 
Sample label		3 
IGSN		4 
Station		5 
Depth water [m]		6 
Latitude		7 
Longitude		8 
Date/Time		9 
Method/Device		10 
Elevation [m]		11 
Latitude		12 
Longitude		13  
Gd/Gd*
(measured in water column, < 0...)		14  
Gd/Gd* unc [±]		15  
Gd anthrop [%]
(measured in water column, < 0...)		16  
Gd anthrop unc [±]		17 
Quality assessment
(of Gadolinium anthropogenic a...)		18  
Ti [ng/l]
(measured in water column, < 0...)		19  
Ti std dev [±]		20  
Y [ng/l]
(measured in water column, < 0...)		21  
Y std dev [±]		22  
La [ng/l]
(measured in water column, < 0...)		23  
La std dev [±]		24  
Ce [ng/l]
(measured in water column, < 0...)		25  
Ce std dev [±]		26  
Pr [ng/l]
(measured in water column, < 0...)		27  
Pr std dev [±]		28  
Nd [ng/l]
(measured in water column, < 0...)		29  
Nd std dev [±]		30  
Sm [ng/l]
(measured in water column, < 0...)		31  
Sm std dev [±]		32  
Eu [ng/l]
(measured in water column, < 0...)		33  
Eu std dev [±]		34  
Gd [ng/l]
(measured in water column, < 0...)		35  
Gd std dev [±]		36  
Tb [ng/l]
(measured in water column, < 0...)		37  
Tb std dev [±]		38  
Dy [ng/l]
(measured in water column, < 0...)		39  
Dy std dev [±]		40  
Ho [ng/l]
(measured in water column, < 0...)		41  
Ho std dev [±]		42  
Er [ng/l]
(measured in water column, < 0...)		43  
Er std dev [±]		44  
Tm [ng/l]
(measured in water column, < 0...)		45  
Tm std dev [±]		46  
Yb [ng/l]
(measured in water column, < 0...)		47  
Yb std dev [±]		48  
Lu [ng/l]
(measured in water column, < 0...)		49  
Lu std dev [±]		50  
Al [ng/l]
(measured in water column, < 0...)		51  
Al std dev [±]		52  
V [ng/l]
(measured in water column, < 0...)		53  
V std dev [±]		54  
Mn [ng/l]
(measured in water column, < 0...)		55  
Mn std dev [±]		56  
Fe [ng/l]
(measured in water column, < 0...)		57  
Fe std dev [±]		58  
Co [ng/l]
(measured in water column, < 0...)		59  
Co std dev [±]		60  
Ni [ng/l]
(measured in water column, < 0...)		61  
Ni std dev [±]		62  
Cu [ng/l]
(measured in water column, < 0...)		63  
Cu std dev [±]		64  
Zn [ng/l]
(measured in water column, < 0...)		65  
Zn std dev [±]		66  
Ga [ng/l]
(measured in water column, < 0...)		67  
Ga std dev [±]		68  
Mo [ng/l]
(measured in water column, < 0...)		69  
Mo std dev [±]		70  
Cd [ng/l]
(measured in water column, < 0...)		71  
Cd std dev [±]		72  
In [ng/l]
(measured in water column, < 0...)		73  
In std dev [±]		74  
Sn [ng/l]
(measured in water column, < 0...)		75  
Sn std dev [±]		76  
W [ng/l]
(measured in water column, < 0...)		77  
W std dev [±]		78  
Pb [ng/l]
(measured in water column, < 0...)		79  
Pb std dev [±]		80  
U [ng/l]
(measured in water column, < 0...)		81  
U std dev [±]
LP20200629_Stat_001_Kugelbake_KBA_WS s_LP20200629_Stat_001_Kugelbake_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHEREAACDStat_001_Kugelbake553.88468.69712020-07-22T07:28:00Go-Flo bottles-753.8846178.6970813.701.1073.050.012.011.7323.400.105.0200.1103.8700.2200.9700.0404.760.221.340.050.3900.0407.152.090.3040.0072.380.040.6850.0152.840.030.4970.0253.910.240.7210.0418707015518512289499032035.01.1137731130451735561.30.7602031037.00.50.0910.0272.00.259.52.420.803.70190766
LP20200629_Stat_002_Lt_Vogelsand_KBA_WS s_LP20200629_Stat_002_Lt_Vogelsand_KBA_Wat_2L_05mhttps://doi.org/10.60510/GFHERBD4CEStat_002_Lt_Vogelsand553.96668.49682020-07-22T08:49:00Go-Flo bottles-1253.9665558.4967652.100.3852.034.013.281.7527.100.505.6600.2005.0000.4501.0900.0505.250.281.400.060.3700.0104.030.620.3200.0042.470.050.6870.0172.530.010.4290.0073.240.150.5650.005720801345705734136023034.90.4926229532900331.40.3709037030.00.80.2020.012<1.732.51.211.400.30208156
LP20200629_Stat_003_CuxSyl01_KBA_WS s_LP20200629_Stat_003_CuxSyl01_KBA_Wat_2L_05mhttps://doi.org/10.60510/GFHER97AF3Stat_003_CuxSyl01554.11808.47702020-07-22T11:01:00Go-Flo bottles-1054.1179588.4769862.280.4856.042.09.210.6924.900.104.0700.1203.2600.0600.7700.0203.780.110.980.020.3300.0202.970.610.2640.0152.120.050.5830.0062.030.040.3460.0102.490.140.4460.01078010012093444438111025030.60.9730779155492361.90.7782019021.50.30.2450.0344.30.622.25.75.801.40229567
LP20200629_Stat_004_CuxSyl02_KBA_WS s_LP20200629_Stat_004_CuxSyl02_KBA_Wat_2L_05mhttps://doi.org/10.60510/GFHER58598Stat_004_CuxSyl02554.22588.43272020-07-22T11:45:00Go-Flo bottles-1354.2258488.4326661.790.6144.066.0Uncertainty greater than data value. Uncertainties represent combined expanded uncertainties with k=111.260.4531.300.305.9800.5705.7201.8501.1400.2305.391.071.350.280.4600.0103.110.300.3660.0162.720.110.7080.0282.350.030.3640.0072.580.330.4380.010<4501189534647230196060051.50.655886261255744.40.6870027025.20.60.2680.014<1.714.11.08.301.302413210
LP20200629_Stat_005_KS11_KBA_WS s_LP20200629_Stat_005_KS11_KBA_Wat_2L_05mhttps://doi.org/10.60510/GFHER66259Stat_005_KS11554.07118.12952020-07-22T13:22:00Go-Flo bottles-1954.0710608.1295191.870.2947.022.05.901.2425.603.305.4100.5504.0000.9101.1200.0505.250.091.270.110.3700.0302.950.100.3040.0022.300.010.6040.0072.040.080.3100.0102.420.250.3840.002<45012671610601160035034.90.154426332465122.80.2708032021.30.30.2620.012<1.716.50.32.500.402373260
LP20200629_Stat_008_AMWE22_KBA_WS s_LP20200629_Stat_008_AMWE22_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHER2B2D2Stat_008_AMWE221054.52167.84332020-07-23T11:28:00Go-Flo bottles54.5216177.8433281.520.2734.042.0Uncertainty greater than data value. Uncertainties represent combined expanded uncertainties with k=18.971.1529.303.006.5900.4206.4100.5101.2700.1005.610.651.470.130.4300.0303.010.120.3480.0462.610.290.6550.0672.200.280.3270.0272.260.320.3780.056<45011953012969112185022056.50.25292153162469403.30.3947010026.80.70.2690.028<1.711.90.410.201.602517206
LP20200629_Stat_009_AMWE21_KBA_WS s_LP20200629_Stat_009_AMWE21_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHER6B296Stat_009_AMWE211054.52297.79622020-07-23T11:46:00Go-Flo bottles54.5228847.7961811.600.1337.019.09.080.4329.000.405.6900.0805.4200.3101.1700.0405.720.131.380.040.3700.0202.730.150.3380.0062.550.050.6550.0232.160.050.3230.0092.110.270.3670.007<4501123912037154152015052.90.9469549717458132.80.2888030025.20.20.2360.029<1.710.70.910.500.70254322
LP20200629_Stat_010_AMWE4_KBA_WS s_LP20200629_Stat_010_AMWE4_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHER9F7A2Stat_010_AMWE41054.53497.71192020-07-23T10:20:00Go-Flo bottles54.5349277.7119201.700.1841.023.06.610.1328.600.304.9100.2103.3300.3301.0500.0604.990.191.220.040.3700.0202.600.200.3190.0092.400.040.6340.0082.120.030.3290.0172.300.060.4380.103<200111919847213310308050.91.04571051814446223.10.4922025025.70.40.2150.005<1.712.71.07.200.30269748
LP20200629_Stat_011_AMWE3_KBA_WS s_LP20200629_Stat_011_AMWE3_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHERD8D2CStat_011_AMWE31054.51437.71032020-07-23T10:05:00Go-Flo bottles54.5142907.7102761.570.1836.024.08.150.1228.300.505.0000.1903.9200.2401.0100.0204.760.071.220.070.3300.0202.520.100.3060.0032.340.030.6270.0142.070.030.3080.0122.190.120.3570.002<450111835994181109015051.60.9478145172644442.50.2889032025.40.50.2030.007<1.711.01.18.700.30258927
LP20200629_Stat_012_AMWE15_KBA_WS s_LP20200629_Stat_012_AMWE15_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHERBAC6EStat_012_AMWE151054.57517.70932020-07-23T10:48:00Go-Flo bottles-2254.5751157.7093211.740.1442.013.09.000.1328.700.505.4100.0904.5200.0801.1200.0205.350.031.290.050.4000.0802.770.080.3260.0132.430.030.6440.0072.090.080.3110.0022.160.200.3490.008<45011256108417313602052.70.8456451716475193.20.3909019026.00.30.1740.004<1.712.21.011.200.40261445
LP20200629_Stat_013_AMWE23_KBA_WS s_LP20200629_Stat_013_AMWE23_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHER59696Stat_013_AMWE231054.56487.70562020-07-23T10:36:00Go-Flo bottles-2254.5647517.7056291.530.1635.026.08.290.2829.000.205.3500.0304.5500.0601.1100.0205.240.051.300.060.4000.0502.530.160.3220.0052.500.020.6280.0102.110.020.3090.0042.140.290.3520.008<200111651098410210906052.30.8455451010463132.80.2902036025.70.40.1520.001<1.710.81.311.500.80255852
LP20200629_Stat_014_AMWE20_KBA_WS s_LP20200629_Stat_014_AMWE20_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHER9A53FStat_014_AMWE201054.49257.70312020-07-23T09:46:00Go-Flo bottles-2854.4924787.7031361.780.4044.054.0Uncertainty greater than data value. Uncertainties represent combined expanded uncertainties with k=18.600.5227.900.104.5700.0102.7100.0200.8700.0204.270.051.100.040.3500.0102.580.550.2700.0142.240.020.5880.0021.990.010.3120.0142.320.070.3520.007<450112380599516990019047.00.448465402755713.30.8903053025.00.30.1400.00716.24.113.14.18.700.10262035
LP20200629_Stat_015_AMWE24_KBA_WS s_LP20200629_Stat_015_AMWE24_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHER39F5EStat_015_AMWE241054.52417.63092020-07-24T08:45:00Go-Flo bottles54.5241017.6309221.700.1041.010.06.710.2227.600.504.6100.0302.5100.0300.9000.0204.310.071.100.020.3200.0302.440.080.2880.0122.190.050.5770.0121.950.040.2970.0041.900.170.3430.012<20011741142486891045040.70.347715248429102.90.5886032024.00.20.1370.004<1.713.01.35.201.20260939
LP20200629_Stat_016_AMWE19_KBA_WS s_LP20200629_Stat_016_AMWE19_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHERCDA5BStat_016_AMWE191054.52507.58282020-07-24T09:08:00Go-Flo bottles54.5250457.5827541.920.4348.046.06.400.7227.402.504.5200.4002.4400.2100.8900.0904.350.331.040.060.3400.0602.450.460.2820.0182.220.200.5760.0601.930.170.2960.0111.990.230.3410.024<20012041492816784017046.60.3479251160442432.90.7968017026.40.10.1330.013<1.70.213.12.55.800.602591269
LP20200629_Stat_017_NOST4_KBA_WS s_LP20200629_Stat_017_NOST4_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHER7ABB5Stat_017_NOST41054.47057.71652020-07-23T09:23:00Go-Flo bottles54.4705017.7165411.800.2944.036.07.490.2626.050.864.7550.1062.9000.0700.9410.0274.560.151.130.050.3200.0302.580.350.2930.0152.340.030.6030.0152.090.100.3110.0102.200.210.4130.0141317715646109104011043.71.35351450030486383.20.3804050025.40.80.0850.006<1.70.112.42.010.101.00267965
LP20200629_Stat_018_NOST1_KBA_WS s_LP20200629_Stat_018_NOST1_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHER59C4FStat_018_NOST11054.45577.70612020-07-23T09:14:00Go-Flo bottles54.4557357.7060591.990.1450.08.09.520.2638.312.277.0300.4973.3000.6401.3400.0676.540.451.560.030.4600.0203.790.050.4190.0463.380.120.8880.0583.050.210.4540.0303.490.470.5610.0371979645222251196056059.42.67823773010664203.60.91109017036.41.50.1200.003<1.70.114.82.19.900.503834159
LP20200629_Stat_019_HELW5_KBA_WS s_LP20200629_Stat_019_HELW5_KBA_Wat_2L_20mhttps://doi.org/10.60510/GFHER4C982Stat_019_HELW52054.45607.73932020-07-23T08:22:00Go-Flo bottles54.4560257.7392761.840.2646.031.05.870.5627.620.264.8750.0042.2500.0200.9250.0044.570.021.110.040.3000.0202.550.320.3080.0112.410.060.6360.0212.170.030.3280.0142.310.230.3820.00913435629884684015039.70.3547152030448202.30.5811035024.10.10.0550.007<1.70.111.62.75.001.3026209
LP20200629_Stat_019_HELW5_KBA_WSs_LP20200629_Stat_019_HELW5_KBA_Wat_2L_15mhttps://doi.org/10.60510/GFHER84E8CStat_019_HELW51554.45607.73932020-07-23T08:22:00Go-Flo bottles54.4560257.7392762.010.2450.020.07.080.3327.460.245.0340.0332.9100.1701.0170.0044.860.041.220.060.3800.0303.150.250.3080.0072.440.060.6380.0142.210.020.3360.0102.410.110.3920.00913857334051128014042.20.7541156010465193.80.3844015024.80.10.0670.001<1.715.21.17.900.40265624
LP20200629_Stat_019_HELW5_KBA_WSs_LP20200629_Stat_019_HELW5_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHER9D5FAStat_019_HELW51054.45607.73932020-07-23T08:22:00Go-Flo bottles54.4560257.7392761.780.2144.021.07.090.1327.090.464.8930.0612.6900.0400.9680.0074.710.071.170.060.3200.0302.660.170.3080.0062.450.040.6490.0092.160.030.3200.0092.310.090.3750.005137620403868143045041.80.3544652020489263.20.2821012024.80.20.0700.001<1.70.113.00.87.800.40262350
LP20200629_Stat_019_HELW5_KBA_WSs_LP20200629_Stat_019_HELW5_KBA_Wat_2L_05mhttps://doi.org/10.60510/GFHER48838Stat_019_HELW5554.45607.73932020-07-23T08:22:00Go-Flo bottles54.4560257.7392761.920.2548.027.07.150.3226.590.194.9890.1482.9900.3000.9830.0204.740.081.150.040.3300.0202.750.310.3050.0062.370.050.6260.0102.080.020.3190.0212.370.090.3860.02013596380510116016041.40.453935202045253.30.5817012024.90.20.0740.003<1.70.213.61.57.400.40264375
LP20200629_Stat_020_HELW1_KBA_WS s_LP20200629_Stat_020_HELW1_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHER73E59Stat_020_HELW11054.45307.77282020-07-23T08:08:00Go-Flo bottles54.4529917.7727641.910.3548.042.07.210.6829.230.135.1910.0603.3200.0201.0500.0185.020.211.240.010.3400.0303.000.540.3300.0042.550.030.6880.0042.280.010.3440.0032.620.170.4110.01213588566562496012048.70.9550854050498413.10.9843060024.80.50.0570.0091.70.713.43.76.400.50264678
LP20200629_Stat_021_NOST35_KBA_WS s_LP20200629_Stat_021_NOST35_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHERDDFE3Stat_021_NOST351054.45277.87562020-07-23T07:21:00Go-Flo bottles-1854.4527407.8756381.960.3249.028.07.550.4931.870.036.1480.0374.6500.0401.2430.0136.000.051.440.100.4100.0403.480.360.3910.0142.950.020.7700.0182.550.040.3950.0112.850.230.5210.08213724014613136106018054.70.5561658070573122.80.8826046025.50.10.1000.019<1.713.62.86.500.20261431
LP20200629_Stat_022_NOAH_E_5_KBA_WS s_LP20200629_Stat_022_NOAH_E_5_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHER26887Stat_022_NOAH_E_51054.43827.42482020-07-24T10:09:00Go-Flo bottles54.4382287.4248471.810.1845.022.06.940.0827.780.055.3430.0223.7900.0801.0250.0224.930.041.190.030.3400.0402.670.230.3030.0122.400.020.6340.0152.150.020.3230.0122.460.140.3690.010138626500772144035043.90.95091059030552302.50.4566011023.50.40.0450.008<1.711.41.210.100.60266664
LP20200629_Stat_023_NOST43_KBA_WS s_LP20200629_Stat_023_NOST43_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHER8CEFEStat_023_NOST431054.43737.61362020-07-24T08:03:00Go-Flo bottles54.4372547.6136091.990.2050.021.06.880.0728.000.225.0230.1642.6500.2200.9510.0194.550.171.120.020.3400.0102.820.250.3060.0122.380.080.6280.0082.140.080.3160.0172.190.190.3820.017138314271314101038038.40.250935201042982.60.1718028023.90.40.0490.004<1.713.41.35.600.10269335
LP20200629_Stat_024_NOST42_KBA_WS s_LP20200629_Stat_024_NOST42_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHERCE26FStat_024_NOST421054.43547.57392020-07-24T10:46:00Go-Flo bottles54.4353697.5739431.910.4847.545.96.380.5527.920.354.8180.6402.4100.2500.9380.0934.410.501.060.110.2600.0302.490.400.2810.0332.230.280.5920.0881.930.400.2670.0941.760.700.2750.15713554627323100022041.00.749974801044222.40.9571019023.00.30.0290.007<1.710.61.35.600.10263735
LP20200629_Stat_025_NOST3_KBA_WS s_LP20200629_Stat_025_NOST3_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHER23AECStat_025_NOST31054.43477.71222020-07-23T09:00:00Go-Flo bottles54.4346937.7122332.070.3352.035.06.110.2728.230.254.8410.0412.4100.0300.9260.0204.540.101.100.010.2900.0402.830.450.3020.0102.420.050.6280.0142.170.030.3230.0082.370.170.3710.0021373282652136207035.90.352845502043091.80.4777045024.10.20.0460.009<1.713.42.35.501.20262027
LP20200629_Stat_026_TI7_KBA_WS s_LP20200629_Stat_026_TI7_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHERF34A9Stat_026_TI71054.41387.70852020-07-24T07:23:00Go-Flo bottles54.4137617.7085111.870.2747.026.06.680.2028.710.205.1180.0383.0700.0100.9950.0094.830.121.180.070.3400.0402.770.260.3080.0052.470.020.6420.0102.160.030.3250.0042.140.050.3840.009137613942338908038.70.1522115502044432.00.4738030024.10.10.0410.005<1.712.62.06.400.10265154
LP20200629_Stat_027_MEWI36_KBA_WS s_LP20200629_Stat_027_MEWI36_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHER5B36BStat_027_MEWI361054.41097.78612020-07-23T12:57:00Go-Flo bottles54.4109167.7861471.850.1146.09.05.900.3027.500.424.7320.0652.3100.0400.8980.0254.330.061.070.030.3100.0102.510.060.2870.0152.310.030.6170.0032.120.010.3090.0142.210.150.3680.008135914253842<59035.90.4520957010483471.50.4712014024.72.20.0400.001<1.712.51.15.501.50264240
LP20200629_Stat_028_MEWI37_KBA_WS s_LP20200629_Stat_028_MEWI37_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHERA2BECStat_028_MEWI371054.41157.82552020-07-23T12:41:00Go-Flo bottles54.4114787.8255181.970.2649.028.06.350.2228.100.264.8450.0102.8800.0500.9280.0104.410.121.100.020.3400.0202.770.340.3080.0092.350.020.6390.0152.150.030.3340.0112.310.380.4320.051138514353224<59037.60.352756003042332.70.2722022024.10.10.0950.027<1.714.02.15.900.10272950
LP20200629_Stat_029_MEWI1_KBA_WS s_LP20200629_Stat_029_MEWI1_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHER27466Stat_029_MEWI11054.39427.70722020-07-24T07:11:00Go-Flo bottles54.3941917.7072291.740.7043.092.0Uncertainty greater than data value. Uncertainties represent combined expanded uncertainties with k=14.921.8526.562.093.9582.0601.9800.7700.9250.0954.400.471.090.170.3400.0602.410.750.2890.0282.210.370.5960.0831.910.430.2790.0741.940.790.3380.09713631272928105036.40.3518360010485132.60.2822087026.02.00.0590.008<1.715.83.85.600.10262158
LP20200629_Stat_030_MEWI41_KBA_WS s_LP20200629_Stat_030_MEWI41_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHER29E4BStat_030_MEWI411054.37487.57772020-07-24T11:24:00Go-Flo bottles54.3748207.5776541.940.2049.017.05.800.1727.730.104.9800.0363.0000.0200.9680.0134.660.041.070.050.3100.0202.450.140.2970.0132.390.050.6200.0122.140.040.3200.0052.320.030.3720.01513521427461360013040.60.3511264040420111.90.3473019021.90.10.0300.002<1.711.01.47.200.8026393
LP20200629_Stat_031_MEWI40_KBA_WS s_LP20200629_Stat_031_MEWI40_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHER47CBDStat_031_MEWI401054.36837.61972020-07-24T11:37:00Go-Flo bottles-1054.3683277.6197391.890.2747.023.05.711.8025.203.614.1121.1632.8700.4300.8910.0044.260.021.080.070.3200.0302.660.200.2890.0062.310.030.6230.0142.040.070.3210.0012.320.110.3520.0091403193965318204042.60.852812660407321133.00.6535016025.90.20.0290.0087.72.513.81.313.001.30270676
LP20200629_Stat_032_MEWI3_KBA_WS s_LP20200629_Stat_032_MEWI3_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHER929FBStat_032_MEWI31054.35687.70812020-07-24T06:46:00Go-Flo bottles54.3568467.7080552.180.0854.06.06.860.4927.910.345.0950.0692.7000.0101.0240.0114.880.111.160.010.3400.0203.080.080.3080.0062.420.040.6320.0122.130.070.3110.0162.180.110.3790.004120213228529<59033.40.6480753429657113.10.2659021022.50.40.0400.002<1.716.20.46.100.26253965
LP20200629_Stat_033_MEWI38_KBA_WS s_LP20200629_Stat_033_MEWI38_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHER94F4DStat_033_MEWI381054.34187.73002020-07-24T06:28:00Go-Flo bottles54.3418417.7300372.000.0950.07.06.390.1327.920.105.0110.0291.9400.0100.9740.0044.740.071.180.020.3100.0103.020.080.3040.0092.400.010.6290.0172.180.050.3290.0072.400.330.3770.0091214208088<59028.50.4514858828841253.00.1695023023.00.40.0350.00157.00.720.40.46.700.10254727
LP20200629_Stat_042_GOWI27_KBA_WS s_LP20200629_Stat_042_GOWI27_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHER7E2AAStat_042_GOWI271054.07237.08122020-07-25T08:58:00Go-Flo bottles54.0723357.0812182.060.0752.05.0<4.3021.390.124.3380.0381.6100.0800.8270.0224.030.080.950.010.2800.0202.370.040.2390.0031.910.060.4850.0111.630.030.2310.0041.450.140.2640.010122291811<27032.70.433733518259212.70.1715022018.40.20.0300.001<1.79.50.23.830.19274916
LP20200629_Stat_044_GOWI20_KBA_WS s_LP20200629_Stat_044_GOWI20_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHER87F98Stat_044_GOWI201054.05827.04202020-07-25T10:03:00Go-Flo bottles54.0581517.0419891.750.1243.011.0<4.3019.700.303.8400.0601.0480.0120.7350.0053.470.090.900.030.2210.0332.100.040.2130.0111.730.080.4290.0071.440.040.2080.0061.460.170.2310.00712613864<27025.10.234423651624722.30.3755018018.40.10.0320.001<1.79.50.12.820.10279614
LP20200629_Stat_045_GOWI24_KBA_WS s_LP20200629_Stat_045_GOWI24_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHER825AEStat_045_GOWI241054.08317.02282020-07-25T09:51:00Go-Flo bottles54.0830657.0228461.880.0647.04.0<4.3020.100.104.0700.0101.4870.0160.7690.0053.720.060.930.010.2380.0532.240.030.2310.0051.760.060.4510.0081.460.020.2130.0081.430.160.2210.0061231151973<27032.40.334223381628822.10.1753024018.20.20.0590.011<1.79.70.23.590.03271440
LP20200629_Stat_048_GOWI4_KBA_WS s_LP20200629_Stat_048_GOWI4_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHER7C9E9Stat_048_GOWI41054.02787.03512020-07-25T10:18:00Go-Flo bottles54.0278467.0350661.730.2942.029.0<4.3020.200.104.3000.4401.4060.0930.7660.0063.640.050.970.090.2380.0152.290.090.2320.0051.780.020.4490.0061.470.020.2160.0041.450.160.2240.0061247113224<59038.60.1351136211402272.40.3735021018.30.30.0370.0043.10.49.90.33.220.21278650
LP20200629_Stat_049_GOWI3_KBA_WS s_LP20200629_Stat_049_GOWI3_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHER86DA8Stat_049_GOWI31054.02677.01752020-07-25T10:35:00Go-Flo bottles54.0267197.0175032.390.2858.011.0<4.3020.100.203.9600.0301.1670.0270.7440.0083.570.060.830.050.2170.0012.370.080.2230.0061.700.050.4500.0071.510.050.2150.0071.560.060.2200.0021261202113<59030.20.5346335111307112.20.1736026017.90.50.0290.001<1.79.90.32.290.25278531
LP20200629_Stat_050_GOWI2_KBA_WS s_LP20200629_Stat_050_GOWI2_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHERED49BStat_050_GOWI21054.02436.96402020-07-25T10:52:00Go-Flo bottles54.0242956.9640112.040.0951.07.0<4.3019.800.304.0700.0201.5200.1160.7190.0103.490.090.880.010.2490.0332.320.060.2200.0021.710.060.4250.0191.430.010.2070.0141.380.070.2070.009127093211<59032.90.23341344631982.40.1776019017.90.10.0300.0021.80.110.00.23.130.01284411
LP20200629_Stat_055_GOWI29_KBA_WS s_LP20200629_Stat_055_GOWI29_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHERD47F9Stat_055_GOWI291054.07527.17582020-07-25T08:26:00Go-Flo bottles-3554.0751977.1757941.850.1446.014.0<4.3021.300.204.5500.0403.1230.0140.9370.0184.500.041.090.030.3110.0162.510.130.2480.0111.900.070.4820.0061.610.030.2310.0121.490.140.2340.00512314288220<27055.90.134913526303332.30.1758011019.00.10.0280.002<1.79.60.18.620.19281332
LP20200629_Stat_056_GOWI28_KBA_WS s_LP20200629_Stat_056_GOWI28_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHER29AF9Stat_056_GOWI281054.00447.17562020-07-25T12:16:00Go-Flo bottles54.0044457.1756131.900.1047.08.0<4.3020.800.204.3200.0802.7920.0730.8550.0044.140.111.010.020.2530.0142.390.060.2400.0081.850.050.4660.0081.570.030.2230.0031.730.200.2150.007126583481166203062.70.535213781160492.60.1751021019.20.20.0290.0015.50.310.60.29.500.33282416
LP20200629_Stat_057_GOWI11_KBA_WS s_LP20200629_Stat_057_GOWI11_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHER5598DStat_057_GOWI111054.00407.09652020-07-25T12:01:00Go-Flo bottles54.0039857.0965012.030.1251.010.0<4.3020.000.403.9900.0401.6080.0530.7470.0273.510.040.870.020.2210.0442.240.090.2140.0071.770.030.4350.0121.480.030.2120.0091.320.190.2080.013125484885<27039.80.633713424306112.20.2727018017.50.10.0280.002<1.79.80.32.700.22279122
LP20200629_Stat_059_GOWI52_KBA_WS s_LP20200629_Stat_059_GOWI52_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHER66D44Stat_059_GOWI521053.98147.01042020-07-25T11:25:00Go-Flo bottles-3153.9814437.0103612.060.0651.03.0<4.3019.500.103.8600.0601.0530.0580.6980.0143.390.070.840.010.2490.0432.200.010.2220.0131.690.010.4310.0041.450.050.2150.0101.530.180.2230.0111254211163<27029.50.6335433712346122.30.2719022017.30.20.0670.016<1.710.00.21.700.07284810
LP20200629_Stat_060_GOWI6_KBA_WS s_LP20200629_Stat_060_GOWI6_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHERB8B47Stat_060_GOWI61053.99766.97852020-07-25T11:10:00Go-Flo bottles53.9975876.9784691.900.2047.013.0<4.3019.600.203.9600.0201.2850.0030.7190.0343.500.190.890.040.2370.0082.200.040.2190.0011.660.020.4310.0071.420.030.2120.0091.310.040.2080.0181230152321<59039.10.2329441820406372.50.1715010017.70.10.0390.0061.80.116.70.42.950.06274836
LP20200629_Stat_063_NOAH_D_5_KBA_WS s_LP20200629_Stat_063_NOAH_D_5_KBA_Wat_2L_10mhttps://doi.org/10.60510/GFHER49A4AStat_063_NOAH_D_51054.09037.35512020-07-25T07:38:00Go-Flo bottles-3554.0903427.3550861.900.3048.021.0<4.3021.500.404.5400.1503.4990.1500.9270.0164.380.131.030.090.2810.0202.390.070.2600.0021.920.040.4800.0091.560.020.2230.0141.330.090.2330.0051177104080557506053.50.534533717319332.80.1761012019.80.10.0330.0011.70.19.50.111.810.59278126