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Reineccius, Janika; Witt, Kendra; Jeschek, Jenny; Hand, Ines; Schulz-Bull, Detlef E; Frazao, Helena; Dierken, Madleen; Ivar do Sul, Juliana; Waniek, Joanna J (2026): Microplastic abundance in surface water samples during the cruise SO296-1 over the shelf of eastern Pacific [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.990052

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Published: 2026-02-03DOI registered: 2026-03-04

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Abstract:
During the cruise SO296-1 on board of the German RV SONNE, we collected samples from the ship pumping system, connected to a filtration unit for microplastic analyses along the shelf of the eastern Pacific between Port Hueneme (USA) and Talcahuano (Chile). On the 0.7 µm GF filters between 300 and 560 L of surface water was filtered. The microplastic detection was carried out in the IOW laboratory using binocular microscope and the FTIR (LUMOS II, Bruker Optik GmbH, Germany). This data is reported together with surface temperature and salinity based on the continuous registration by thermosalinograph (https://doi.org/10.1594/PANGAEA.968975). Additional details about the cruise can be found in the cruise report (https://doi.org/10.48433/cr_so296_1), additional surface environmental data can be found at https://doi.org/10.1594/PANGAEA.988025.
Keyword(s):
Abundance; East Pacific; Microplastic; Polymertype; surface water
Related to:
Schlundt, Michael; Schulz-Bull, Detlef E (2024): Continuous thermosalinograph oceanography along RV SONNE cruise track SO296/1 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.968975
Waniek, Joanna J; Schulz-Bull, Detlef E; Frazão, Helena C; Beltran, Oscar; Dierken, Madleen; Estelmann, Arne; Goldschmidt, Irina; Hand, Ines; Jeschek, Jenny; Klostermann, Birgit; Kreuzer, Lars; Reineccius, Janika; Sadkowiak, Birgit: Chemical water properties measured in surface water samples during R/V SONNE cruise SO296/1 over the shelf of eastern Pacific [dataset]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.988025
References:
Ikenoue, Takahito; Nakajima, Ryota; Osafune, Satoshi; Siswanto, Eko; Honda, Makio C (2024): Vertical Flux of Microplastics in the Deep Subtropical Pacific Ocean: Moored Sediment-Trap Observations within the Kuroshio Extension Recirculation Gyre. Environmental Science & Technology, 58(36), 16121-16130, https://doi.org/10.1021/acs.est.4c02212
Primpke, Sebastian; A Dias, P; Gerdts, Gunnar (2019): Automated identification and quantification of microfibres and microplastics. Analytical Methods, 11(16), 2138-2147, https://doi.org/10.1039/C9AY00126C
Schulz-Bull, Detlef E; Beltran, Oscar; Dierken, Madleen; Estelmann, Arne; Frazão, Helena C; Goldschmidt, Irina; Hand, Ines; Jeschek, Jenny; Klostermann, Birgit; Kreuzer, Lars; Reineccius, Janika; Sadkowiak, Birgit (2023): Anthropogenic substances in surface waters over the shelf of eastern Pacific, Cruise No. SO296/1, 26.12.2022 - 18.01.2023, Port Hueneme (USA) - Talcahuano (Chile). SONNE-Berichte, Begutachtungspanel Forschungsschiffe, SO296/1, 26 pp, https://doi.org/10.48433/cr_so296_1
Funding:
Bundesministerium für Bildung und Forschung, Bonn (BMBF), grant/award no. 03G0296A: SO296 - MAPUCHE; Auswirkungen der pelagischen Anoxie im Auftriebsgebiet vor Concepción und in einem unberührten anoxischen Fjord sowie die postglaziale Entwicklung der patagonischen Fjordregion in Chile
Coverage:
Median Latitude: 0.213600 * Median Longitude: -92.360875 * South-bound Latitude: -35.300000 * West-bound Longitude: -117.877000 * North-bound Latitude: 30.889000 * East-bound Longitude: -73.854000
Date/Time Start: 2022-12-28T06:51:00 * Date/Time End: 2023-01-17T19:28:00
Minimum DEPTH, water: 4.5 m * Maximum DEPTH, water: 4.5 m
Event(s):
SO296/1_MP_1 (MP_1)  * Latitude Start: 30.889000 * Longitude Start: -117.877000 * Latitude End: 29.739000 * Longitude End: -117.082000 * Date/Time Start: 2022-12-28T06:51:00 * Date/Time End: 2022-12-28T14:52:00 * Campaign: SO296/1 (MAPUCHE) * Basis: Sonne_2 * Method/Device: Water pump (PUMP)
SO296/1_MP_5 (MP_5)  * Latitude Start: 27.198000 * Longitude Start: -115.399000 * Latitude End: 26.045000 * Longitude End: -114.650000 * Date/Time Start: 2022-12-29T08:30:00 * Date/Time End: 2022-12-29T16:30:00 * Campaign: SO296/1 (MAPUCHE) * Basis: Sonne_2 * Method/Device: Water pump (PUMP)
SO296/1_MP_8 (MP_8)  * Latitude Start: 23.629000 * Longitude Start: -113.179000 * Latitude End: 22.463000 * Longitude End: -112.484000 * Date/Time Start: 2022-12-30T08:42:00 * Date/Time End: 2022-12-30T16:42:00 * Campaign: SO296/1 (MAPUCHE) * Basis: Sonne_2 * Method/Device: Water pump (PUMP)
Comment:
Microplastic sampling, Detection, Polymer Identification: A total of 50 surface water samples were collected within the Pacific North-South transect of which 20 were analyzed for microplastics. The samples were collected via the ship's seawater intake pump, which was connected to an internal filtration system (0.7 μm glass fiber filter by Satorius, ∅ = 14.2 cm). A flow-meter monitored the volume of water filtered, in general 300 – 560 L were filtered. Following the filtration, each filter was immediately placed into an aluminum container with an aluminum-coated cardboard lid to prevent airborne contamination and dried in an oven at 50 ◦C for 24 h.
For further analyses, two smaller sections (5 x 2.5 cm) were cut out of the obtained glass fiber filters loaded with the sample using a scalpel and a pre-rinsed cover glass. One of the sample sections were direly transferred to a glass slide and fixed with paper masking tape for microscopic identification of microfibers which were counted and photographed under a Binokular microscope equipped with a camera, while measuring the size with the open source program ImageJ 1.53o.
The second sample section was transferred into a pre-rinsed glass beaker for further separation steps and microplastic analyses. To remove natural organic materials hydrogen peroxide was added into the beaker, covered with aluminum foil and incubated in the oven at 50°C for 24 h. During the last two hours, the samples were stirred using a magnetic stirrer, to homogenize the sample and the filter fibers. Subsequently, the same amount of pre-filtered acetic acid was added and left to react for 2 h at room temperature to remove calcareous components. After the reaction time, the samples were filtered using a stainless steel filter and rinsed with pre-filtered ultrapure water thoroughly. The obtained filter residues were then rinsed back into the glass beaker using the dense solution sodium polytungstate and transferred into a separation funnel to allow settling for 24 h after shaking the sample suspension thoroughly. At the following day, the lower sample part was discharged and the glass fiber free supernatant was filtered onto an Anodisc 25 filter. To ensure a higher recovery, the lower sample part containing heavier components was filled into the separation funnel to separate the supernatant for a second time. The obtained Anodisc filter was transferred into a glass Petri dish to store until further analyses.
Microplastic identification was implemented by using a fully automated Fourier transform infrared spectroscope (LUMOS II, Bruker Optik GmbH, Germany), equipped with an 32x32 pixel Focal Plane Array (FPA) imaging detector cooled with liquid nitrogen and operated by using the Opus software (version 8.8). To obtain the most reliable results, five section covering 62.5% of each sample filter were selected and scanned in transmission mode at a spectral resolution of 4 cm−1 with 4 scan repetitions in a range of 3600 - 1250 cm−1. The detection limit of 1 pixel corresponds to a particle size of about 5 μm, but the lower microplastic size limit was set to 10 μm (minimum of 2 pixels) for reliability reasons. Because this method is strongly dependent on a plane filter area, 3 dimensional twisted microfibers are difficult to detect with the FPA-FTIR (Primpke et al., 2019, doi:10.1039/C9AY00126C). In addition to the spectroscopic measurement, microfibers were counted separately. The measured areas were further processed using the Purency software (version 4.17), which returns the microplastic numbers, polymer types, sizes, the specific correlations with internal reference spectra (similarity), as well as the reliability of the integrated machine learning algorithm (relevance). Only particles larger than 1 pixel (> 10 μm) and with similarity and relevance values ≥ 0.6 were accepted. Particles resulting in at least one of both values ≥ 0.6 were manually evaluated for their spectral fit.
Temperature SBE 21 SEACAT from Thermosalinograph, range -5 to +35°C for 1st and 2nd sensor, accuracy 0.01 1st, and 0.001 2nd sensor, resolution 0.001 and 0.0003, respectively
Conductivity for salinity calculation SBE 21 SEACAT from Thermosalinograph, range 0 to 7, accuracy0.001, resolution 0.0001
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
Event labelEventWaniek, Joanna J
Optional event labelEvent 2Waniek, Joanna J
Latitude of eventLatitudeWaniek, Joanna J
Longitude of eventLongitudeWaniek, Joanna J
Date/Time of eventDate/TimeWaniek, Joanna J
Latitude of event 2Latitude 2Waniek, Joanna J
Longitude of event 2Longitude 2Waniek, Joanna J
Date/Time of event 2Date/Time 2Waniek, Joanna J
DurationDurationWaniek, Joanna J
10 VolumeVollWaniek, Joanna J
11 DEPTH, waterDepth watermWaniek, Joanna JGeocode
12 Temperature, waterTemp°CWaniek, Joanna JThermosalinograph (TSG)Start
13 SalinitySalWaniek, Joanna JThermosalinograph (TSG)Start
14 Wind speedffBftWaniek, Joanna JShip Weather Station (SWEAS)Start
15 Temperature, waterTemp°CWaniek, Joanna JThermosalinograph (TSG)End
16 SalinitySalWaniek, Joanna JThermosalinograph (TSG)End
17 Wind speedffBftWaniek, Joanna JShip Weather Station (SWEAS)End
18 Microplastic abundanceMicroplastic#/m3Waniek, Joanna JFourier-transform infrared (FTIR) spectrometer, Bruker Optik GmbH, LUMOS II
19 Microplastic abundanceMicroplastic#/m3Waniek, Joanna JCounted using an light microscope, Zeiss, Axio Imager.A2
20 Mass per volumeMass vµg/m3Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
21 Mass per volumeMass vµg/m3Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
22 Particle, diameterPart diamµmWaniek, Joanna JFourier-transform infrared (FTIR) spectrometer, Bruker Optik GmbH, LUMOS II
23 Particle, diameter, standard deviationPart diam std dev±Waniek, Joanna JFourier-transform infrared (FTIR) spectrometer, Bruker Optik GmbH, LUMOS II
24 Particle, diameterPart diamµmWaniek, Joanna JFourier-transform infrared (FTIR) spectrometer, Bruker Optik GmbH, LUMOS II
25 Microfiber, lengthMicrofiber LµmWaniek, Joanna JMeasured using software ImageJAverage
26 Microfiber, length, standard deviationMicrofiber L std dev±Waniek, Joanna JMeasured using software ImageJ
27 Microfiber, lengthMicrofiber LµmWaniek, Joanna JMeasured using software ImageJMedian
28 PolypropylenePP#/m3Waniek, Joanna JFourier-transform infrared (FTIR) spectrometer, Bruker Optik GmbH, LUMOS II
29 PolystyrenePS#/m3Waniek, Joanna JFourier-transform infrared (FTIR) spectrometer, Bruker Optik GmbH, LUMOS II
30 Acrylonitrile butadiene styrene copolymerABS#/m3Waniek, Joanna JFourier-transform infrared (FTIR) spectrometer, Bruker Optik GmbH, LUMOS II
31 PolyethylenePE#/m3Waniek, Joanna JFourier-transform infrared (FTIR) spectrometer, Bruker Optik GmbH, LUMOS II
32 Polyethylene terephthalatePET#/m3Waniek, Joanna JFourier-transform infrared (FTIR) spectrometer, Bruker Optik GmbH, LUMOS II
33 PolyamidePA#/m3Waniek, Joanna JFourier-transform infrared (FTIR) spectrometer, Bruker Optik GmbH, LUMOS II
34 PolycarbonatePC#/m3Waniek, Joanna JFourier-transform infrared (FTIR) spectrometer, Bruker Optik GmbH, LUMOS II
35 PolymethylmethacrylatPMMA#/m3Waniek, Joanna JFourier-transform infrared (FTIR) spectrometer, Bruker Optik GmbH, LUMOS II
36 Polybutylene terephthalatePBT#/m3Waniek, Joanna JFourier-transform infrared (FTIR) spectrometer, Bruker Optik GmbH, LUMOS II
37 PolyoxymethylenePOM#/m3Waniek, Joanna JFourier-transform infrared (FTIR) spectrometer, Bruker Optik GmbH, LUMOS II
38 Polyvinyl chloridePVC#/m3Waniek, Joanna JFourier-transform infrared (FTIR) spectrometer, Bruker Optik GmbH, LUMOS II
39 Ethylene-vinyl acetateEVA#/m3Waniek, Joanna JFourier-transform infrared (FTIR) spectrometer, Bruker Optik GmbH, LUMOS II
40 Polypropylene, clusterC-PPng/m3Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
41 Polystyrene, clusterC-PSng/m3Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
42 Acrylonitrile butadiene styrene copolymer, clusterC-ABSng/m3Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
43 Polyethylene, clusterC-PEng/m3Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
44 Polyethylene terephthalate, clusterC-PETng/m3Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
45 Polyamide, clusterC-PAng/m3Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
46 Polycarbonate, clusterC-PCng/m3Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
47 Polymethylmethacrylat, clusterC-PMMAng/m3Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
48 Polybutylene terephthalate, clusterC-PBTng/m3Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
49 Polyoxymethylene, clusterC-POMng/m3Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
50 Polyvinyl chloride, clusterC-PVCng/m3Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
51 Ethylene-vinyl acetate, clusterC-EVAng/m3Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
52 Polypropylene, cluster, standard deviationC-PP std dev±Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
53 Polystyrene, cluster, standard deviationC-PS std dev±Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
54 Acrylonitrile butadiene styrene copolymer, cluster, standard deviationC-ABS std dev±Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
55 Polyethylene, cluster, standard deviationC-PE std dev±Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
56 Polyethylene terephthalate, cluster, standard deviationC-PET std dev±Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
57 Polyamide, cluster, standard deviationC-PA std dev±Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
58 Polycarbonate, cluster, standard deviationC-PC std dev±Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
59 Polymethylmethacrylat, standard deviationC-PMMA std dev±Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
60 Polybutylene terephthalate, cluster, standard deviationC-PBT std dev±Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
61 Polyoxymethylene, cluster, standard deviationC-POM std dev±Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
62 Polyvinyl chloride, cluster, standard deviationC-PVC std dev±Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
63 Ethylene-vinyl acetate, cluster, standard deviationC-EVA std dev±Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
64 Fiber, transparentF transparent%Waniek, Joanna JImageJ software
65 Fiber, blackF black%Waniek, Joanna JImageJ software
66 Fiber, blueF blue%Waniek, Joanna JImageJ software
67 Fiber, orangeF orange%Waniek, Joanna JImageJ software
68 Fiber, purpleF purple%Waniek, Joanna JImageJ software
69 Fiber, redF red%Waniek, Joanna JImageJ software
70 Fiber, yellowF yellow%Waniek, Joanna JImageJ software
71 Fiber, brownF brown%Waniek, Joanna JImageJ software
72 Fiber, whiteF white%Waniek, Joanna JImageJ software
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
1254 data points

Data

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


Event

Event 2

Latitude

Longitude

Date/Time

Latitude 2

Longitude 2

Date/Time 2

Duration
10 
Vol [l]
11 
Depth water [m]
12 
Temp [°C]
(Start, Thermosalinograph)
13 
Sal
(Start, Thermosalinograph)
14 
ff [Bft]
(Start, Ship Weather Station)
15 
Temp [°C]
(End, Thermosalinograph)
16 
Sal
(End, Thermosalinograph)
17 
ff [Bft]
(End, Ship Weather Station)
18 
Microplastic [#/m3]
(Fourier-transform infrared (F...)
19 
Microplastic [#/m3]
(Counted using an light micros...)
20 
Mass v [µg/m3]
(Calculated, according to Iken...)
21 
Mass v [µg/m3]
(Calculated, according to Iken...)
22 
Part diam [µm]
(Fourier-transform infrared (F...)
23 
Part diam std dev [±]
(Fourier-transform infrared (F...)
24 
Part diam [µm]
(Fourier-transform infrared (F...)
25 
Microfiber L [µm]
(Average, Measured using softw...)
26 
Microfiber L std dev [±]
(Measured using software ImageJ)
27 
Microfiber L [µm]
(Median, Measured using softwa...)
28 
PP [#/m3]
(Fourier-transform infrared (F...)
29 
PS [#/m3]
(Fourier-transform infrared (F...)
30 
ABS [#/m3]
(Fourier-transform infrared (F...)
31 
PE [#/m3]
(Fourier-transform infrared (F...)
32 
PET [#/m3]
(Fourier-transform infrared (F...)
33 
PA [#/m3]
(Fourier-transform infrared (F...)
34 
PC [#/m3]
(Fourier-transform infrared (F...)
35 
PMMA [#/m3]
(Fourier-transform infrared (F...)
36 
PBT [#/m3]
(Fourier-transform infrared (F...)
37 
POM [#/m3]
(Fourier-transform infrared (F...)
38 
PVC [#/m3]
(Fourier-transform infrared (F...)
39 
EVA [#/m3]
(Fourier-transform infrared (F...)
40 
C-PP [ng/m3]
(Calculated, according to Iken...)
41 
C-PS [ng/m3]
(Calculated, according to Iken...)
42 
C-ABS [ng/m3]
(Calculated, according to Iken...)
43 
C-PE [ng/m3]
(Calculated, according to Iken...)
44 
C-PET [ng/m3]
(Calculated, according to Iken...)
45 
C-PA [ng/m3]
(Calculated, according to Iken...)
46 
C-PC [ng/m3]
(Calculated, according to Iken...)
47 
C-PMMA [ng/m3]
(Calculated, according to Iken...)
48 
C-PBT [ng/m3]
(Calculated, according to Iken...)
49 
C-POM [ng/m3]
(Calculated, according to Iken...)
50 
C-PVC [ng/m3]
(Calculated, according to Iken...)
51 
C-EVA [ng/m3]
(Calculated, according to Iken...)
52 
C-PP std dev [±]
(Calculated, according to Iken...)
53 
C-PS std dev [±]
(Calculated, according to Iken...)
54 
C-ABS std dev [±]
(Calculated, according to Iken...)
55 
C-PE std dev [±]
(Calculated, according to Iken...)
56 
C-PET std dev [±]
(Calculated, according to Iken...)
57 
C-PA std dev [±]
(Calculated, according to Iken...)
58 
C-PC std dev [±]
(Calculated, according to Iken...)
59 
C-PMMA std dev [±]
(Calculated, according to Iken...)
60 
C-PBT std dev [±]
(Calculated, according to Iken...)
61 
C-POM std dev [±]
(Calculated, according to Iken...)
62 
C-PVC std dev [±]
(Calculated, according to Iken...)
63 
C-EVA std dev [±]
(Calculated, according to Iken...)
64 
F transparent [%]
(ImageJ software)
65 
F black [%]
(ImageJ software)
66 
F blue [%]
(ImageJ software)
67 
F orange [%]
(ImageJ software)
68 
F purple [%]
(ImageJ software)
69 
F red [%]
(ImageJ software)
70 
F yellow [%]
(ImageJ software)
71 
F brown [%]
(ImageJ software)
72 
F white [%]
(ImageJ software)
SO296/1_MP_1 MP_130.8890-117.87702022-12-28T06:5129.7390-117.08202022-12-28T14:5208:01304.54.567.265473.304816.76550.393132.627166.97154.136228.668231.214168.0295470.8560.0000.0000.00067.2650.0000.0000.0000.0000.0000.0000.0008002.49650600.000000000.0000000000.00000000031874.2618200000.0000000000.000000000.000000000.0000000000.0000000.000000000.0000000000.0980.0000.0000.0002.3610.0000.0000.0000.0000.0000.000055.31912.7660.0000.00012.76619.149000.0
SO296/1_MP_5 MP_527.1980-115.39902022-12-29T08:3026.0450-114.65002022-12-29T16:3008:00512.24.517.633.6419.533.83351.106261.27853.5954.47965.28155.77142.667418.791604.252194.359053.27453.274106.54953.2740.00053.274106.54953.2740.0000.0000.0000.0000.000000013.94635987432.3694184001477.0145800000.0000000002.12774541725.1581237713.479515560.0000000000.0000000.000000000.0000000000.0000.0010.0740.0790.0000.0000.0070.0000.0000.0000.000042.55325.5320.0000.0000.00031.915000.0
SO296/1_MP_8 MP_823.6290-113.17902022-12-30T08:4222.4630-112.48402022-12-30T16:4208:00501.94.521.734.2323.434.53700.6230.000108.2385.02647.01546.82034.435361.896336.650151.5690821.0430.00098.525197.0500.0000.0000.0000.00032.8420.0000.0000.0001513.15994500.0000000097.5152547104910.1724150000.0000000000.0000000000.000000000.0000000045.6956426400.0000000.000000000.0000000000.0230.0010.0170.2610.0000.0000.0000.0000.0030.0000.00000.0000.00057.14342.8570.0000.000000.0
SO296/1_MP_11 MP_1119.9330-110.73802022-12-31T10:5319.1510-109.40202022-12-31T19:5109:00525.94.524.534.5326.534.44313.429293.62220.7770.59453.02337.39640.080342.680199.095351.5620564.17331.3430.00094.0290.00062.6860.0000.0000.0000.0000.0000.000748.38965710.000000000.000000000336.2058577000.000000000175.8878167000.000000000.000000000.0000000000.0000000.000000000.0000000000.0140.0000.0000.0180.0000.0030.0000.0000.0000.0000.000064.40710.1690.0000.00025.4240.000000.0
SO296/1_MP_14 MP_1417.6250-106.64902023-01-01T14:0216.8630-105.31702023-01-01T23:0109:00518.34.526.634.4428.134.24392.23119.86296.9461.26344.23562.73126.069335.960204.302367.4740763.26131.80331.80331.8030.0000.0000.0000.0000.0000.0000.0000.0005849.54525500.0000000030.8741050901.0847154350.0000000000.0000000000.000000000.000000000.0000000000.0000000.000000000.0000000000.0700.0000.0060.0000.0000.0000.0000.0000.0000.0000.000045.4550.0000.00054.5450.0000.000000.0
SO296/1_MP_17 MP_1715.2740-102.61802023-01-02T17:1614.4870-101.31802023-01-03T02:1609:00532.24.529.333.5229.533.52371.663386.86126.9910.50144.82533.68641.720318.042202.812281.8940464.57930.9720.000216.8030.00030.9720.00030.97230.9720.0000.0000.000277.56198941104.042717000.00000000091.9153986300.00000000019.1967101300.00000000126.3547535018.3986005600.0000000.000000000.0000000000.0090.0120.0000.0050.0000.0000.0000.0030.0010.0000.000065.07914.2866.3494.7620.0009.524000.0
SO296/1_MP_20 MP_2012.8810-98.72502023-01-03T20:4512.0770-97.45302023-01-04T05:4509:00532.54.528.633.5428.233.741007.918328.64735.6382.95739.87739.13828.246319.808241.965217.50501082.8900.00077.349270.7230.0000.0000.0000.0000.0000.0000.0000.0000.00000000.00000000388.9496771001341.5147450000.0000000000.0000000000.000000000.000000000.0000000000.0000000.000000000.0000000000.0000.0000.0670.0710.0000.0000.0000.0000.0000.0000.000029.82526.31617.54415.7890.00010.526000.0
SO296/1_MP_23 MP_2310.1670-95.01302023-01-05T00:209.1530-93.89302023-01-06T09:2009:00530.64.527.433.7527.233.7620.710116.4080.0000.00022.72813.14113.679390.364636.919204.9570124.26162.1310.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.00000000.000000000.0000000000.0000000000.0000000000.0000000000.000000000.000000000.0000000000.0000000.000000000.0000000000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000045.83312.50016.66712.5000.00012.500000.0
SO296/1_MP_27 MP_275.5390-91.20402023-01-06T12:424.5510-90.60802023-01-06T19:4009:00403.04.527.233.2326.933.2381.803204.3555.8010.21139.28832.30430.991276.278384.67783.8760490.8160.0000.0000.0000.0000.0000.00040.90140.9010.0000.0000.000327.91468840.000000000.0000000000.0000000000.0000000000.0000000000.0000000023.635657100.3849075950.0000000.000000000.0000000000.0110.0000.0000.0000.0000.0000.0000.0010.0000.0000.00000.00038.7103.22638.7100.00019.355000.0
SO296/1_MP_28 MP_282.3080-87.80002023-01-07T17:450.8700-87.33002023-01-08T02:4509:00515.84.526.733.0425.433.13681.742199.58112.1820.26429.04618.78825.699201.026204.787124.5045894.7870.0000.0000.0000.000159.7830.0000.0000.00031.9570.0000.0000.00000000.000000000.0000000000.0000000000.000000000522.0494347000.000000000.000000000.000000000216.9827940.000000000.0000000000.0000.0000.0000.0000.0000.0090.0000.0000.0000.0020.000047.22241.6672.7788.3330.0000.000000.0
SO296/1_MP_29 MP_290.8810-87.33302023-01-08T02:46-0.5810-86.85602023-01-08T11:5209:00511.44.525.533.1424.533.046736.1660.00024.1450.61127.94916.43823.345259.195201.529208.06707015.3920.00040.318120.9550.0000.0000.0000.0000.0000.0000.0000.0001035.63004500.0000000034.527270680100.8539339000.0000000000.0000000000.000000000.000000000.0000000000.0000000.000000000.0000000000.0170.0000.0060.0050.0000.0000.0000.0000.0000.0000.000062.5000.0000.00037.5000.0000.000000.0
SO296/1_MP_30 MP_30-0.5980-86.85102023-01-08T11:58-2.0400-86.37802023-01-08T20:5809:00517.54.524.533.0423.434.244172.5710.0008.4890.23624.91915.29218.298226.86155.266225.40554427.38531.8520.000159.2580.0000.0000.0000.0000.0000.0000.0000.000471.504218211.289649020.00000000032.2005354400.0000000000.0000000000.000000000.000000000.0000000000.0000000.000000000.0000000000.0110.0010.0000.0020.0000.0000.0000.0000.0000.0000.00000.0000.000100.0000.0000.0000.000000.0
SO296/1_MP_31 MP_31-2.0600-86.37302023-01-09T21:04-3.5000-85.90202023-01-10T06:0409:00510.24.523.334.2423.735.04344.613100.8863.3390.26227.51419.29722.197342.732230.606312.6720613.8410.00064.6150.00032.30764.6150.0000.0000.0000.0000.0000.000125.90341540.0000000035.1270249800.00000000013.69659758027.8184928400.000000000.000000000.0000000000.0000000.000000000.0000000000.0070.0000.0070.0000.0010.0000.0000.0000.0000.0000.000020.8330.0004.16737.5000.00025.0000012.5
SO296/1_MP_34 MP_34-6.3880-84.88002023-01-10T00:22-7.7940-84.34202023-01-10T09:2209:00488.64.524.535.1224.935.23269.885105.34657.0681.21043.54256.00926.064346.220288.666205.3690438.5640.0000.00067.471101.20767.4710.0000.0000.0000.00033.7360.0003358.91688100.000000000.00000000012.20547811018.5120992001.3501266680.000000000.000000000.0000000000.00000071.200402260.0000000000.0430.0000.0000.0010.0010.0000.0000.0000.0000.0000.027023.8100.00047.61914.2860.00014.286000.0
SO296/1_MP_37 MP_37-10.3770-83.34202023-01-11T03:37-11.7800-82.79302023-01-11T12:3709:00467.74.525.735.3224.735.4593.98266.0323.0850.17432.32820.59726.110202.529178.188109.2620317.1890.0000.00070.4860.0000.0000.00035.2430.0000.0000.0000.0000.00000000.000000000.00000000035.4095254600.0000000000.0000000000.00000000151.762046500.0000000000.0000000.000000000.0000000000.0000.0000.0000.0020.0000.0000.0000.0040.0000.0000.00000.0000.00021.05347.3680.00031.579000.0
SO296/1_MP_46 MP_46-16.7580-80.78702023-01-12T20:41-18.1510-80.20702023-01-13T05:4009:00559.94.523.335.4522.235.45363.089239.0190.1730.09526.08814.99421.606118.835134.68766.1730706.5510.0000.0000.0000.0000.0000.0000.00029.4400.0000.0000.0000.00000000.000000000.0000000000.0000000000.0000000000.0000000000.000000000.0000000010.4867790100.0000000.000000000.0000000000.0000.0000.0000.0000.0000.0000.0000.0000.0010.0000.00004.44433.33315.55640.0006.6670.000000.0
SO296/1_MP_49 MP_49-20.9200-79.12702023-01-14T00:03-22.3680-78.65602023-01-14T09:0309:00550.44.522.035.3521.435.341806.848804.248210.43614.79137.69642.83423.537247.909208.307182.99701856.7610.00029.948149.7390.00089.8430.00029.94829.9480.0000.00029.948553.51922270.000000000.739928219411.1665935000.000000000125.6074697000.0000000087.1586610611586.8793000000.0000000.000000001.6153212630.0110.0000.0010.0220.0000.0020.0000.0020.8580.0000.000055.0002.1430.00042.8570.0000.000000.0
SO296/1_MP_51 MP_51-27.2200-76.99802023-01-15T15:35-28.6470-76.48202023-01-16T00:3409:00510.74.520.234.6520.134.761291.0321652.9050.1860.07118.2008.15418.183130.413140.94578.67851516.9620.0000.00096.82764.55232.2760.0000.0000.0000.0000.0000.0000.00000000.000000000.0000000004.6485379225.7250096950.9069696360.000000000.000000000.0000000000.0000000.000000000.0000000000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.00006.74626.1908.73052.3810.0005.952000.0
SO296/1_MP_54 MP_54-31.5190-75.39802023-01-16T18:54-32.8740-74.86102023-01-17T03:5409:00454.54.518.634.4417.634.152115.562566.247428.34925.76632.23150.22321.161228.104193.998143.10102176.00736.26736.267145.067108.800145.0670.0000.0000.0000.0000.0000.0002217.38917602011.6447880016.8420817304345.70690800017191.341400000203.9842720000.000000000.000000000.0000000000.0000000.000000000.0000000000.0310.0210.0040.2311.2730.0040.0000.0000.0000.0000.000026.74413.9530.00041.8600.00017.442000.0
SO296/1_MP_56 MP_56-34.3040-74.27602023-01-17T13:01-35.3000-73.85402023-01-17T19:2809:00345.34.516.434.3414.834.25254.592327.94180.4231.27748.77457.40124.718128.781142.89368.5300572.83295.4720.00047.73647.73695.4720.0000.00047.7360.0000.0000.0004216.9291170241.555074100.000000000292.6376190000.898276299126.3471803000.000000000.000000000.6808793460.0000000.000000000.0000000000.0550.0040.0000.0160.0000.0020.0000.0000.0000.0000.00000.00040.0000.00050.0000.00010.000000.0