Citation:

PANGAEA.982433

Name: A validation data set of phytoplankton pigment concentrations and phytoplankton groups measured on water samples collected from various expeditions
Published: 2025-05-20
License: https://creativecommons.org/licenses/by/4.0/
Keywords: chlorophyll-a concentration; HPLC; phytoplankton functional types; Pigments

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Published: 2025-05-20 • DOI registered: 2025-07-15

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Abstract:

This data set composes quality controlled in situ measurements of eight major pigments based on HPLC collected from various expeditions from 2016 to 2023. There are two subsets: subset 1 is the test dataset (99 matchups) extracted from and takes up 30 % of a global in situ PFT matchup data set, while the other 70 % was used for the retuning of the PFT algorithm for Sentinel 3 OLCI sensors. Subset 1 spans from 2016 to 2021 and is part of the global data set described in Xi et al. (2023): https://doi.pangaea.de/10.1594/PANGAEA.954738. Subset 2 containing 134 matchups is a newly compiled dataset that composites in situ PFT data collected from four recent mostly polar expeditions with the research vessel Polarstern (Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, 2017), that are PS126 (May–June 2021), PS131/1 (June–Aug 2022) and PS136 (May–June 2023) in the north Atlantic to the Arctic Ocean, and PS133 (Oct–Nov 2022) in the Southern Ocean. The in situ PFT data were derived from quality-controlled HPLC pigment concentrations using diagnostic pigment analysis (DPA) with updated pigment-specific weighting coefficients following Xi et al. (2023). This published data set has been used to validate satellite PFT products generated for the EU funded Copernicus Marine Service (CMEMS, https://marine.copernicus.eu/), which are derived from multi-sensor ocean color reflectance data and sea surface temperature using an empirical orthogonal function based approach (Xi et al. 2020; 2021).

Keyword(s):

chlorophyll-a concentration; HPLC; phytoplankton functional types; Pigments

Supplement to:

Xi, Hongyan; Bretagnon, Marine; Mehdipour, Ehsan; Demaria, Julien; Mangin, Antoine; Bracher, Astrid (2025): Consistent long-term observations of surface phytoplankton functional types from space. State of the Planet, 6-osr9, 1-7, https://doi.org/10.5194/sp-6-osr9-7-2025

Related to:

Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung (2017): Polar Research and Supply Vessel POLARSTERN operated by the Alfred-Wegener-Institute. Journal of large-scale research facilities JLSRF, 3, A119, https://doi.org/10.17815/jlsrf-3-163

Xi, Hongyan; Peeken, Ilka; Gomes, Mara; Brotas, Vanda; Tilstone, Gavin H; Brewin, Robert J W; Dall'Olmo, Giorgio; Tracana, Andreia; Alvarado, Leonardo M A; Murawski, Sandra; Wiegmann, Sonja; Bracher, Astrid (2023): Phytoplankton pigment concentrations and phytoplankton groups measured on water samples collected from various expeditions in the Atlantic Ocean from 71°S to 84°N [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.954738

References:

Xi, Hongyan; Losa, Svetlana N; Mangin, Antoine; Garnesson, Philippe; Bretagnon, Marine; Demaria, Julien; Soppa, Mariana A; Hembise Fanton d'Andon, Odile; Bracher, Astrid (2021): Global chlorophyll a concentrations of phytoplankton functional types with detailed uncertainty assessment using multi-sensor ocean color and sea surface temperature satellite products. Journal of Geophysical Research: Oceans, 126(5), https://doi.org/10.1029/2020JC017127

Xi, Hongyan; Losa, Svetlana N; Mangin, Antoine; Soppa, Mariana A; Garnesson, Philippe; Demaria, Julien; Liu, Yangyang; Hembise Fanton d'Andon, Odile; Bracher, Astrid (2020): Global retrieval of phytoplankton functional types based on empirical orthogonal functions using CMEMS GlobColour merged products and further extension to OLCI data. Remote Sensing of Environment, 240, 111704, https://doi.org/10.1016/j.rse.2020.111704

Project(s):

A Machine Learning based approach towards products of Phytoplankton functional Types in the Arctic Ocean (ML-PhyTAO)

Arctic Amplification (AC3)

FRontiers in Arctic marine Monitoring (FRAM)

Global Long-term Observations of Phytoplankton Functional Types from Space (GLOPHYTS)

Funding:

European Commission (EC), grant/award no. 21036L05B-COP-INNO SCI-9000

German Research Foundation (DFG), grant/award no. 268020496 : TRR 172: ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms

Coverage:

Median Latitude: 34.870347 * Median Longitude: -14.938127 * South-bound Latitude: -69.126300 * West-bound Longitude: -155.885000 * North-bound Latitude: 81.089840 * East-bound Longitude: 171.979833

Date/Time Start: 2016-04-30T10:59:00 * Date/Time End: 2023-06-16T17:06:00

Minimum Elevation: -3719.1 m * Maximum Elevation: -31.1 m

Event(s):

33GG20191015_20191019 * Latitude: 38.215500 * Longitude: -73.644400 * Date/Time: 2019-10-19T00:00:00 * Campaign: (ECOMON, GU1905) * Basis: * Method/Device: Water sample (WS)

33HH20180625-track * Latitude Start: 41.278000 * Longitude Start: -70.598300 * Latitude End: 41.418900 * Longitude End: -71.374900 * Date/Time Start: 2018-06-25T19:19:26 * Date/Time End: 2018-07-11T10:13:11 * Campaign: * Basis: Henry B. Bigelow * Method/Device: Underway cruise track measurements (CT)

A22_2021_20210509 * Latitude: 34.740000 * Longitude: -66.580000 * Date/Time: 2021-05-09T00:00:00 * Campaign: * Basis: * Method/Device: Water sample (WS)

Parameter(s):

#	Name	Short Name	Unit	Principal Investigator	Method/Device	Comment
1	Event label	Event		Xi, Hongyan
2	ORDINAL NUMBER	Ord No		Xi, Hongyan		Geocode
3	Identification	ID		Xi, Hongyan		Validation dataset no.
4	Campaign	Campaign		Xi, Hongyan
5	Station label	Station		Xi, Hongyan
6	DATE/TIME	Date/Time		Xi, Hongyan		Geocode
7	LATITUDE	Latitude		Xi, Hongyan		Geocode
8	LONGITUDE	Longitude		Xi, Hongyan		Geocode
9	DEPTH, water	Depth water	m	Xi, Hongyan		Geocode
10	Chlorophyll a + Divinyl chlorophyll a + Chlorophyllide a	Chl a +DV Chl a + Chlide a	µg/l	Xi, Hongyan	High Performance Liquid Chromatography (HPLC)
11	Divinyl chlorophyll a	DV chl a	µg/l	Xi, Hongyan	High Performance Liquid Chromatography (HPLC)
12	Chlorophyll b + Divinyl chlorophyll b + Chlorophyllide b	Chl b + DV Chl b + Chlide b	µg/l	Xi, Hongyan	High Performance Liquid Chromatography (HPLC)
13	19-Hexanoyloxyfucoxanthin	Hex-fuco	µg/l	Xi, Hongyan	High Performance Liquid Chromatography (HPLC)
14	19-Butanoyloxyfucoxanthin	But-fuco	µg/l	Xi, Hongyan	High Performance Liquid Chromatography (HPLC)
15	Fucoxanthin	Fuco	µg/l	Xi, Hongyan	High Performance Liquid Chromatography (HPLC)
16	Peridinin	Perid	µg/l	Xi, Hongyan	High Performance Liquid Chromatography (HPLC)
17	Zeaxanthin	Zea	µg/l	Xi, Hongyan	High Performance Liquid Chromatography (HPLC)
18	Alloxanthin	Allo	µg/l	Xi, Hongyan	High Performance Liquid Chromatography (HPLC)
19	Chlorophyll a, Diatoms	Chl a Diatoms	µg/l	Xi, Hongyan	High Performance Liquid Chromatography (HPLC)
20	Chlorophyll a, Dinoflagellata	Chl a Dinoflagellata	µg/l	Xi, Hongyan	High Performance Liquid Chromatography (HPLC)
21	Chlorophyll a, Green Algae	Chl a GA	µg/l	Xi, Hongyan	High Performance Liquid Chromatography (HPLC)
22	Chlorophyll a, Haptophyta	Chl a Haptophyta	µg/l	Xi, Hongyan	High Performance Liquid Chromatography (HPLC)
23	Chlorophyll a, Prokaryotes	Chl a Prokaryotes	µg/l	Xi, Hongyan	High Performance Liquid Chromatography (HPLC)
24	Chlorophyll a, Prochlorococcus	Chl a Prochlorococcus	µg/l	Xi, Hongyan	High Performance Liquid Chromatography (HPLC)

License:

Creative Commons Attribution 4.0 International (CC-BY-4.0)

Status:

Curation Level: Enhanced curation (CurationLevelC)

Size:

4194 data points

Data

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

1 Event	2 Ord No	3 ID	4 Campaign	5 Station	6 Date/Time	7 Latitude	8 Longitude	9 Depth water [m]	10 Chl a +DV Chl a + Chlide a [µg/l]	11 DV chl a [µg/l]	12 Chl b + DV Chl b + Chlide b [µg/l]	13 Hex-fuco [µg/l]	14 But-fuco [µg/l]	15 Fuco [µg/l]	16 Perid [µg/l]	17 Zea [µg/l]	18 Allo [µg/l]	19 Chl a Diatoms [µg/l]	20 Chl a Dinoflagellata [µg/l]	21 Chl a GA [µg/l]	22 Chl a Haptophyta [µg/l]	23 Chl a Prokaryotes [µg/l]	24 Chl a Prochlorococcus [µg/l]
Boussole_20160503	1	dataset 1	Boussole	NA	2016-05-03T00:00:00	43.37000	7.90100	5.000	0.38060	0.00000	0.02190	0.14300	0.04530	0.03440	0.00960	0.02900	0.00630	0.03570	0.01780	0.06979	0.18355	0.03479	0.00000
JR16002_20161003	2	dataset 1	AMT26	NA	2016-10-03T00:00:00	25.45440	-28.73360	5.500	0.08407	0.03917	0.01410	0.01118	0.00437	0.00356	0.00060	0.06355	0.00073	0.00324	0.00064	0.02603	0.00764	0.04417	0.03426
JR16002_20161022	3	dataset 1	AMT26	NA	2016-10-22T00:00:00	-37.33290	-28.43410	5.500	0.32935	0.01409	0.06242	0.10429	0.05277	0.02877	0.00256	0.04733	0.00703	0.01382	0.00331	0.13881	0.10262	0.03962	0.01232
JR16002_20161025	4	dataset 1	AMT26	NA	2016-10-25T00:00:00	-44.86580	-31.05400	5.500	1.24293	0.00060	0.07553	0.12036	0.03728	0.76760	0.13232	0.01069	0.00627	0.83982	0.14422	0.14150	0.08950	0.00754	0.00052
csiro_AODN_20160603	5	dataset 1	csiro_AODN	NA	2016-06-03T00:00:00	-33.00080	170.00280	5.000	0.08695	0.04811	0.00000	0.01427	0.00782	0.00259	0.00000	0.03220	0.00000	0.00338	0.00000	0.00000	0.02459	0.05324	0.04208
csiro_AODN_20160604	6	dataset 1	csiro_AODN	NA	2016-06-04T00:00:00	-32.50120	169.84830	5.000	0.09237	0.05135	0.01017	0.01644	0.00967	0.00324	0.00000	0.03830	0.00000	0.00247	0.00000	0.02789	0.01806	0.03953	0.04491
HE462/01-1	7	dataset 1	HE462	CTD1	2016-04-30T10:59:00	57.81350	8.26880	5.000	1.54810	0.00000	0.25430	0.12150	0.13500	0.16690	0.08250	0.03030	0.16870	0.16021	0.12366	0.65522	0.20080	0.02939	0.00000
HE462-track	8	dataset 1	HE462	UW	2016-05-06T02:00:25	57.67596	8.18612	5.000	1.43000	0.00000	0.22120	0.13000	0.04280	0.13620	0.07290	0.02100	0.14760	0.20184	0.11837	0.61741	0.14644	0.02206	0.00000
HE462-track	9	dataset 1	HE462	UW	2016-05-06T05:01:43	57.59537	7.94049	5.000	1.23510	0.00000	0.23200	0.11600	0.03380	0.10840	0.06250	0.02860	0.10460	0.15419	0.09647	0.61557	0.12057	0.02857	0.00000
NAAMES2_20160512	10	dataset 1	NAAMES2	NA	2016-05-12T00:00:00	41.60950	-65.36320	5.000	1.78500	0.00000	0.18900	0.24600	0.06600	0.28400	0.13600	0.03000	0.06100	0.46428	0.24053	0.57458	0.30093	0.03433	0.00000
NAAMES2_20160523	11	dataset 1	NAAMES2	NA	2016-05-23T00:00:00	49.96750	-43.94830	5.000	5.14100	0.00000	0.17300	0.88500	0.12500	1.38800	0.15500	0.00900	0.03300	2.95036	0.32313	0.61996	1.07323	0.01214	0.00000
PS103_0_Underway-3	12	dataset 1	PS103	UW	2016-12-18T07:01:50	-39.23310	13.24900	10.000	0.44611	0.00576	0.08912	0.07487	0.07037	0.02275	0.01174	0.10966	0.01345	0.00000	0.01541	0.20104	0.08760	0.09313	0.00504
PS99.1-track	13	dataset 1	PS99	UW	2016-06-19T00:15:00	74.01922	15.59210	11.000	1.68260	0.00000	0.09018	0.38231	0.03154	0.61993	0.13485	0.04139	0.04930	0.84101	0.18258	0.20990	0.31593	0.03626	0.00000
PS99/005-1	14	dataset 1	PS99	CTD2	2016-06-19T13:22:00	74.84252	17.64033	5.000	2.36188	0.00000	0.15181	0.20686	0.06540	0.82516	0.20194	0.01352	0.06345	1.29660	0.31121	0.40217	0.18544	0.01349	0.00000
PS99.1-track	15	dataset 1	PS99	UW	2016-06-19T15:10:00	74.84248	17.63998	11.000	2.00360	0.00000	0.13988	0.18443	0.04271	0.75889	0.15466	0.01593	0.04368	1.14489	0.22884	0.35576	0.15873	0.01525	0.00000
PS99.1-track	16	dataset 1	PS99	UW	2016-06-21T12:13:29	75.97675	14.62517	11.000	1.84128	0.00000	0.09063	0.12908	0.00000	0.79715	0.16159	0.00837	0.04870	1.17616	0.23384	0.22544	0.10865	0.00784	0.00000
PS99.2-track	17	dataset 1	PS99	UW	2016-07-04T21:21:20	79.58772	5.17432	11.000	1.76547	0.00000	0.05026	0.53479	0.10731	0.46874	0.03006	0.01409	0.00000	0.79065	0.05613	0.16134	0.68270	0.01702	0.00000
PS99.2-track	18	dataset 1	PS99	UW	2016-07-05T03:00:40	79.74467	4.47420	11.000	0.70534	0.00000	0.02424	0.25798	0.03572	0.25243	0.03331	0.01844	0.00000	0.34249	0.04656	0.05823	0.22702	0.01668	0.00000
PS99.2-track	19	dataset 1	PS99	UW	2016-07-05T12:07:00	79.74632	4.47635	11.000	0.48204	0.00000	0.03171	0.12532	0.01805	0.14444	0.01885	0.01057	0.00000	0.22478	0.02973	0.08599	0.12255	0.01079	0.00000
PS99.2-track	20	dataset 1	PS99	UW	2016-07-06T09:26:00	79.13018	4.90200	11.000	0.62144	0.00000	0.03160	0.20323	0.02796	0.17705	0.02299	0.01343	0.00000	0.27167	0.03638	0.08595	0.20098	0.01375	0.00000
PS99.2-track	21	dataset 1	PS99	UW	2016-07-06T12:22:30	79.02383	4.41423	11.000	0.57153	0.00000	0.03357	0.18726	0.02142	0.15242	0.01532	0.01229	0.00000	0.24262	0.02492	0.09383	0.18722	0.01293	0.00000
PS99.2-track	22	dataset 1	PS99	UW	2016-07-08T00:04:15	79.00625	4.33513	11.000	0.19170	0.00000	0.02085	0.03684	0.00519	0.04046	0.00000	0.00769	0.00000	0.07376	0.00000	0.06544	0.04069	0.00908	0.00000
PS99/064-2	23	dataset 1	PS99	SV2	2016-07-09T05:59:00	78.98127	9.51280	10.000	0.90051	0.00953	0.05259	0.06654	0.01730	0.27123	0.08442	0.00000	0.00657	0.48711	0.15103	0.16171	0.07686	0.00000	0.00834
PS99.2-track	24	dataset 1	PS99	UW	2016-07-10T00:07:00	79.13952	6.08852	11.000	3.36199	0.03400	0.12608	0.92670	0.12237	0.95114	0.27527	0.00000	0.02392	1.57784	0.44787	0.35262	0.87705	0.00000	0.02974
PS99.2-track	25	dataset 1	PS99	UW	2016-07-11T13:06:00	78.87743	4.23900	11.000	0.17428	0.00000	0.01556	0.05031	0.00541	0.04041	0.00959	0.00414	0.00000	0.06321	0.01506	0.04198	0.04739	0.00420	0.00000
PS99.2-track	26	dataset 1	PS99	UW	2016-07-11T21:12:40	79.06002	4.20183	11.000	0.07666	0.00000	0.00000	0.01300	0.00000	0.01458	0.00000	0.00000	0.00000	0.05081	0.00000	0.00000	0.02478	0.00000	0.00000
Boussole_20170407	27	dataset 1	Boussole	NA	2017-04-07T00:00:00	43.36600	7.90000	4.000	0.60700	0.00000	0.02840	0.00300	0.02910	0.02410	0.00000	0.12770	0.10670	0.03715	0.00000	0.09831	0.01585	0.16640	0.00000
GOMECC-3_20170726	28	dataset 1	Gomecc-3_2017	NA	2017-07-26T00:00:00	27.58320	-90.00020	1.000	0.14300	0.01700	0.00500	0.01500	0.00300	0.00600	0.00300	0.06000	0.00000	0.01239	0.00649	0.01859	0.01971	0.08396	0.01487
GOMECC-3_20170727	29	dataset 1	Gomecc-3_2017	NA	2017-07-27T00:00:00	27.75010	-89.99890	3.600	0.20900	0.01000	0.00700	0.02500	0.00400	0.00500	0.00200	0.06300	0.00000	0.01247	0.00553	0.03327	0.04184	0.11271	0.00875
GOMECC-3_20170815	30	dataset 1	Gomecc-3_2017	NA	2017-08-15T00:00:00	21.62940	-86.24150	2.700	0.13100	0.03400	0.00800	0.02900	0.00700	0.00800	0.00200	0.05500	0.00000	0.01158	0.00334	0.02298	0.03025	0.05948	0.02974
NAAMES3_20170906	31	dataset 1	NAAMES3	NA	2017-09-06T00:00:00	44.37000	-43.42000	0.000	0.20600	0.02600	0.01800	0.05000	0.01500	0.02400	0.00800	0.05300	0.00100	0.03271	0.01245	0.04815	0.05063	0.05337	0.02274
NAAMES3_20170906	32	dataset 1	NAAMES3	NA	2017-09-06T00:00:00	44.36000	-43.35000	0.000	0.15800	0.01900	0.01300	0.03400	0.01000	0.01700	0.00400	0.05200	0.00100	0.02397	0.00624	0.03487	0.03394	0.05251	0.01662
NAAMES3_20170919	33	dataset 1	NAAMES3	NA	2017-09-19T00:00:00	48.66000	-48.80000	0.000	0.41600	0.00000	0.07200	0.14900	0.03700	0.03400	0.01900	0.01800	0.01000	0.03119	0.02643	0.17215	0.13759	0.01620	0.00000
Station_P06-1	34	dataset 1	P06	NA	2017-07-08T00:00:00	-30.08000	156.71000	0.000	0.35100	0.11000	0.03600	0.09600	0.04700	0.02400	0.00400	0.09200	0.00200	0.01349	0.00633	0.09794	0.11362	0.09422	0.09622
Station_P06-2	35	dataset 1	P06	NA	2017-08-10T00:00:00	-32.50000	-154.93330	5.000	0.14700	0.04200	0.02500	0.05400	0.02700	0.00700	0.00300	0.03800	0.00000	0.00000	0.00377	0.05405	0.04848	0.03093	0.04045
Station_P18	36	dataset 1	P18	NA	2017-01-19T00:00:00	-58.99990	-103.00000	0.100	0.17300	0.00000	0.00500	0.09200	0.01500	0.03600	0.00600	0.00200	0.00000	0.05177	0.00940	0.01347	0.08958	0.00203	0.00000
PS103_0_Underway-3	37	dataset 1	PS103	UW	2017-01-11T23:00:00	-69.12630	-17.29200	10.000	1.91073	0.00000	0.00000	2.03092	0.00000	0.21424	0.00000	0.00000	0.00000	0.29817	0.00000	0.00000	1.61256	0.00000	0.00000
PS107_0_underway-9	38	dataset 1	PS107	UW	2017-07-27T11:57:00	79.02766	4.40642	0.000	0.30295	0.00000	0.08578	0.02294	0.01358	0.08742	0.01584	0.01231	0.00307	0.09289	0.01705	0.15866	0.01739	0.00857	0.00000
PS107_0_underway-9	39	dataset 1	PS107	UW	2017-07-27T18:19:00	79.06443	4.17628	0.000	0.36071	0.00000	0.05734	0.02430	0.01389	0.12190	0.06209	0.00388	0.00267	0.14171	0.07249	0.11507	0.01990	0.00293	0.00000
PS107_0_underway-9	40	dataset 1	PS107	UW	2017-08-09T21:04:00	79.74641	5.50988	0.000	0.20257	0.00000	0.01435	0.01561	0.00477	0.05723	0.01139	0.00549	0.00217	0.10505	0.02076	0.04496	0.01784	0.00647	0.00000
33HH20180625-track	41	dataset 1	ECOA-2	NA	2018-06-26T00:00:00	39.66500	-69.85117	2.500	0.15150	0.04050	0.00950	0.02200	0.00750	0.01550	0.00600	0.08450	0.00000	0.02038	0.00844	0.02296	0.01983	0.07687	0.03543
33HH20180625-track	42	dataset 1	ECOA-2	NA	2018-07-19T00:00:00	38.00032	-73.64666	7.000	0.13500	0.03700	0.00900	0.02100	0.00700	0.01400	0.00400	0.08300	0.00000	0.01737	0.00531	0.02054	0.01780	0.07131	0.03236
NAAMES4_20180402	43	dataset 1	NAAMES4	NA	2018-04-02T00:00:00	42.83110	-40.34870	0.000	2.11200	0.00000	0.10500	1.07600	0.18200	0.23300	0.09000	0.02800	0.01900	0.40842	0.15472	0.31029	1.07603	0.03115	0.00000
PB_Plumes_blooms_20181011	44	dataset 1	PB_Plumes_blooms	NA	2018-10-11T00:00:00	34.25120	-119.90700	0.000	0.79600	0.00600	0.04200	0.11200	0.02500	0.19000	0.03700	0.03200	0.01800	0.35454	0.07033	0.13722	0.13751	0.03936	0.00525
PB_Plumes_blooms_20181011	45	dataset 1	PB_Plumes_blooms	NA	2018-10-11T00:00:00	34.30060	-119.88100	0.000	0.45550	0.01950	0.03750	0.10500	0.02450	0.06350	0.01900	0.04900	0.00850	0.10169	0.03344	0.11345	0.11976	0.05580	0.01706
PS113_0_underway-5	46	dataset 1	PS113	UW	2018-05-17T08:00:08	-28.00205	-37.72895	11.000	0.13186	0.05869	0.00940	0.02384	0.00697	0.00714	0.00272	0.05447	0.00000	0.01038	0.00464	0.02757	0.02571	0.06014	0.05133
PS113_0_underway-5	47	dataset 1	PS113	UW	2018-05-26T17:02:05	5.05443	-24.44843	11.000	0.31845	0.12987	0.02419	0.04237	0.01156	0.01144	0.00613	0.13482	0.00000	0.01684	0.01118	0.07585	0.04939	0.15912	0.11360
EXPORTSNP_DY131_20210525	48	dataset 1	EXPORTSNP_DY131	NA	2021-05-25T00:00:00	48.86359	-14.71528	5.000	0.59100	0.00000	0.01600	0.18000	0.04800	0.21400	0.03500	0.01100	0.00200	0.29021	0.05059	0.03976	0.17654	0.01029	0.00000
EXPORTSNP_DY131_20210527	49	dataset 1	EXPORTSNP_DY131	NA	2021-05-27T00:00:00	48.78482	-14.90912	5.000	0.60300	0.00000	0.02000	0.24500	0.04600	0.09500	0.11200	0.01900	0.00200	0.11636	0.16320	0.05010	0.23245	0.01791	0.00000
EXPORTSNP_DY131_20210528	50	dataset 1	EXPORTSNP_DY131	NA	2021-05-28T00:00:00	48.80903	-14.80426	5.000	0.53200	0.00000	0.01800	0.22100	0.03900	0.06500	0.09800	0.01900	0.00200	0.08008	0.14904	0.04706	0.21622	0.01870	0.00000
EXPORTSNP_DY131_20210512	51	dataset 1	EXPORTSNA_DY131	NA	2021-05-12T00:00:00	49.05470	-14.62480	5.929	0.95900	0.00000	0.01600	0.37000	0.07100	0.33800	0.04600	0.01200	0.00200	0.45301	0.06643	0.03972	0.35548	0.01121	0.00000
EXPORTSNP_DY131_20210522	52	dataset 1	EXPORTSNA_DY131	NA	2021-05-22T00:00:00	48.86300	-14.74380	10.562	0.63600	0.00000	0.01500	0.22300	0.04400	0.19400	0.05900	0.01200	0.00300	0.26500	0.08596	0.03757	0.21218	0.01131	0.00000
EXPORTSNP_DY131_20210522	53	dataset 1	EXPORTSNA_DY131	NA	2021-05-22T00:00:00	48.86330	-14.74380	6.389	0.58900	0.00000	0.01400	0.22400	0.04500	0.16600	0.05300	0.01000	0.00300	0.22519	0.07807	0.03545	0.21609	0.00953	0.00000
EXPORTSNP_DY131_20210527	54	dataset 1	EXPORTSNA_DY131	NA	2021-05-27T00:00:00	48.78150	-14.90500	5.507	0.68200	0.00000	0.02800	0.27600	0.05500	0.14600	0.08900	0.01900	0.00200	0.18181	0.12720	0.06879	0.26040	0.01757	0.00000
EXPORTSNP_DY131_20210527	55	dataset 1	EXPORTSNA_DY131	NA	2021-05-27T00:00:00	48.78150	-14.90500	5.507	0.70700	0.00000	0.02900	0.27900	0.05700	0.15400	0.08600	0.02000	0.00200	0.19500	0.12484	0.07236	0.26853	0.01879	0.00000
A22_2021_20210509	56	dataset 1	Go-GBC_A22	NA	2021-05-09T00:00:00	34.74000	-66.58000	5.000	0.10800	0.00900	0.00500	0.03400	0.01200	0.00600	0.00200	0.03000	0.00100	0.00646	0.00356	0.01531	0.03968	0.03458	0.00787
Sea2Space_FK170124_20170127	57	dataset 1	Sea2Space_FK170124	NA	2017-01-27T00:00:00	21.52600	-155.88500	0.000	0.08300	0.04300	0.00700	0.01100	0.00500	0.00600	0.00100	0.05100	0.00000	0.00746	0.00138	0.01665	0.00986	0.04566	0.03761
PB_Plumes_blooms_20211110	58	dataset 1	PB_Plumes_blooms	NA	2021-11-10T00:00:00	34.25000	-119.90700	0.000	1.69000	0.00000	0.12500	0.22700	0.03300	0.41000	0.14800	0.02200	0.06600	0.67414	0.24513	0.35588	0.23695	0.02358	0.00000
PB_Plumes_blooms_20211110	59	dataset 1	PB_Plumes_blooms	NA	2021-11-10T00:00:00	34.29670	-119.88400	0.000	2.43200	0.00000	0.16300	0.52200	0.04200	0.40650	0.22950	0.05300	0.10650	0.71528	0.39607	0.48355	0.52403	0.05918	0.00000
33GG20191015_20191019	60	dataset 1	ECOMON_GU1905	NA	2019-10-19T00:00:00	38.21550	-73.64440	4.500	0.57400	0.01900	0.07400	0.02500	0.00900	0.10300	0.00200	0.00800	0.00700	0.22351	0.00433	0.27510	0.03507	0.01120	0.01662
Boussole_20180918	61	dataset 1	Boussole	NA	2018-09-18T00:00:00	43.37100	7.90500	6.000	0.14120	0.00420	0.01190	0.03660	0.01070	0.00640	0.00410	0.03840	0.00210	0.00742	0.00698	0.03482	0.03993	0.04229	0.00367
Boussole_20181024	62	dataset 1	Boussole	NA	2018-10-24T00:00:00	43.37100	7.90500	10.000	0.14350	0.01550	0.01210	0.03620	0.01260	0.00890	0.00300	0.04370	0.00100	0.01055	0.00494	0.03427	0.03909	0.04659	0.01356
Boussole_20190723	63	dataset 1	Boussole	NA	2019-07-23T00:00:00	43.36800	7.89500	9.000	0.14680	0.00000	0.01980	0.04640	0.01160	0.00770	0.00520	0.02050	0.00130	0.00857	0.00827	0.05412	0.04683	0.02109	0.00000
Boussole_20190723	64	dataset 1	Boussole	NA	2019-07-23T00:00:00	43.36800	7.89500	5.000	0.11080	0.00000	0.01140	0.03060	0.00830	0.00650	0.00480	0.02310	0.00100	0.00837	0.00789	0.03220	0.03178	0.02456	0.00000
Boussole_20200826	65	dataset 1	Boussole	NA	2020-08-26T00:00:00	43.36800	7.89500	5.000	0.10090	0.00000	0.00800	0.01230	0.00530	0.00440	0.00410	0.05160	0.00060	0.00572	0.00635	0.02129	0.01230	0.05170	0.00000
TARA_20160623T1254Z_D_O-SRF_DOLPHIN-CARBOY	66	dataset 1	Tara_Pacific	NA	2016-06-23T00:00:00	25.93717	-69.77900	0.150	0.04180	0.00000	0.00210	0.01210	0.00260	0.00210	0.00170	0.01100	0.00000	0.00341	0.00318	0.00675	0.00747	0.01331	0.00000
TARA_20160825T1432Z_D_O-SRF_DOLPHIN-CARBOY	67	dataset 1	Tara_Pacific	NA	2016-08-25T00:00:00	-15.62090	-98.26753	0.150	0.15480	0.04560	0.03680	0.04640	0.01530	0.00550	0.00420	0.04680	0.00000	0.00241	0.00483	0.07268	0.03504	0.03479	0.03989
TARA_20170525T2129Z_D_O-SRF_DOLPHIN-CARBOY	68	dataset 1	Tara_Pacific	NA	2017-05-25T00:00:00	-6.08383	171.97983	0.150	0.04530	0.01860	0.00000	0.00960	0.00180	0.00090	0.00180	0.04070	0.00000	0.00093	0.00232	0.00000	0.00432	0.03394	0.01627
TARA_20180621T1740Z_D_O-SRF_DOLPHIN-CARBOY	69	dataset 1	Tara_Pacific	NA	2018-06-21T00:00:00	24.02963	-155.12672	0.150	0.08040	0.02520	0.00450	0.01670	0.00310	0.00320	0.00230	0.04590	0.00000	0.00428	0.00345	0.01160	0.01518	0.04455	0.02427
TARA_20180820T1430Z_D_O-SRF_DOLPHIN-CARBOY	70	dataset 1	Tara_Pacific	NA	2018-08-20T00:00:00	7.96598	-93.32912	0.150	0.24620	0.00000	0.03370	0.08500	0.01250	0.01710	0.01100	0.03990	0.00210	0.02135	0.01613	0.08495	0.07673	0.03786	0.00000
TARA_20180821T1411Z_D_O-SRF_DOLPHIN-CARBOY	71	dataset 1	Tara_Pacific	NA	2018-08-21T00:00:00	7.97497	-90.41688	0.150	0.30870	0.00000	0.02410	0.06310	0.01610	0.03230	0.01070	0.07250	0.00000	0.05178	0.01906	0.07379	0.07226	0.08356	0.00000
TARA_20180821T1411Z_D_O-SRF_DOLPHIN-CARBOY	72	dataset 1	Tara_Pacific	NA	2018-08-21T00:00:00	7.97497	-90.41688	0.150	0.36810	0.00000	0.02980	0.07500	0.01890	0.03680	0.01360	0.09160	0.00000	0.05712	0.02376	0.08950	0.08466	0.10356	0.00000
PS120_0_underway-10	85	dataset 1	PS120	NA	2019-06-08T00:00:00	-27.51180	-37.29763	11.000	0.03800	0.01800	0.00400	0.00700	0.00500	0.00400	0.00000	0.02300	0.00000	0.00410	0.00000	0.00834	0.00318	0.01804	0.01574
PS120_0_underway-10	86	dataset 1	PS120	NA	2019-06-19T00:00:00	25.30007	-19.42673	11.000	0.05600	0.02000	0.00000	0.00900	0.00300	0.00400	0.00000	0.03700	0.00000	0.00609	0.00000	0.00000	0.00662	0.03930	0.01749
PS120_0_underway-10	87	dataset 1	PS120	NA	2019-06-24T00:00:00	42.35250	-11.99898	11.000	0.09500	0.01100	0.00600	0.05100	0.01400	0.00900	0.00300	0.02100	0.00000	0.00819	0.00408	0.01404	0.04470	0.01850	0.00962
AMT28_3-8	88	dataset 1	AMT28	NA	2018-09-26T00:00:00	47.90130	-10.38140	5.000	0.52000	0.01200	0.02300	0.23900	0.11000	0.03500	0.01100	0.03000	0.00200	0.00000	0.02051	0.07373	0.32583	0.03620	0.01050
AMT28_58-206	89	dataset 1	AMT28	NA	2018-10-23T00:00:00	-39.20930	-41.47500	8.000	0.74700	0.00000	0.17500	0.13700	0.04300	0.06100	0.05900	0.13400	0.01300	0.05744	0.07140	0.36404	0.11427	0.10493	0.00000
PB_Plumes_blooms_20190730	90	dataset 1	PB_Plumes_blooms	NA	2019-07-30T00:00:00	34.15630	-119.95000	0.000	5.30500	0.00000	0.15500	0.37900	0.05200	2.22900	0.48300	0.03300	0.02800	3.63765	0.77308	0.42646	0.35287	0.03418	0.00000
PB_Plumes_blooms_20190730	91	dataset 1	PB_Plumes_blooms	NA	2019-07-30T00:00:00	34.20460	-119.92600	0.000	6.77400	0.00000	0.10500	0.24000	0.04100	4.13000	0.20900	0.03400	0.02300	5.93899	0.29477	0.25456	0.19690	0.03103	0.00000
PB_Plumes_blooms_20190918	92	dataset 1	PB_Plumes_blooms	NA	2019-09-18T00:00:00	34.25060	-119.90600	5.000	1.28900	0.02800	0.12700	0.19400	0.03400	0.24300	0.08500	0.09900	0.01400	0.40348	0.14502	0.37246	0.21177	0.10929	0.02449
PB_Plumes_blooms_20190918	93	dataset 1	PB_Plumes_blooms	NA	2019-09-18T00:00:00	34.25060	-119.90600	0.000	0.95400	0.02400	0.05200	0.12100	0.02500	0.15400	0.09600	0.09500	0.00900	0.28990	0.18582	0.17302	0.15028	0.11898	0.02099
PB_Plumes_blooms_20190918	94	dataset 1	PB_Plumes_blooms	NA	2019-09-18T00:00:00	34.30100	-119.87900	0.000	1.42400	0.02400	0.05650	0.11150	0.02200	0.14750	0.37400	0.09750	0.01100	0.26693	0.69189	0.17967	0.13128	0.11671	0.02099
AMT29_BG	95	dataset 1	AMT29	NA	2019-10-26T00:00:00	27.43603	-34.09052	5.000	0.05700	0.01700	0.00400	0.01200	0.00500	0.00300	0.00200	0.03600	0.00000	0.00304	0.00261	0.00898	0.00745	0.03042	0.01487
AMT29_BL	96	dataset 1	AMT29	NA	2019-10-28T00:00:00	22.35537	-37.49588	5.000	0.07800	0.02300	0.00600	0.01400	0.00300	0.00200	0.00100	0.04200	0.00000	0.00260	0.00157	0.01624	0.01311	0.04279	0.02012
AMT29_BN	97	dataset 1	AMT29	NA	2019-10-28T00:00:00	21.79567	-35.88167	5.000	0.08300	0.02900	0.00500	0.01600	0.00300	0.00200	0.00200	0.06000	0.00000	0.00222	0.00269	0.01158	0.01306	0.05229	0.02537
AMT29_CTD_032	98	dataset 1	AMT29	NA	2019-11-04T00:00:00	2.87912	-24.99462	2.000	0.12200	0.04200	0.00900	0.01700	0.00400	0.00400	0.00200	0.07600	0.00000	0.00524	0.00298	0.02308	0.01560	0.07338	0.03674
AMT29_ES	99	dataset 1	AMT29	NA	2019-11-21T00:00:00	-44.32943	-52.83940	5.000	1.16800	0.00000	0.12900	0.41500	0.06700	0.19900	0.01500	0.07100	0.06300	0.24581	0.02121	0.31350	0.38235	0.06495	0.00000
MSM93-track	73	dataset 1	MSM93	UW	2020-07-01T07:00:00	74.31324	8.79485	10.000	1.42280	0.00000	0.26580	0.18200	0.02450	0.30510	0.39210	0.02370	0.09850	0.30579	0.39476	0.45999	0.11399	0.01544	0.00000
MSM93-track	74	dataset 1	MSM93	UW	2020-07-01T16:05:00	76.05317	7.40267	10.000	1.85700	0.00000	0.20210	0.19880	0.06660	0.69610	0.08260	0.00000	0.12370	0.88601	0.10716	0.45070	0.18480	0.00000	0.00000
MSM93-track	75	dataset 1	MSM93	UW	2020-07-04T16:09:30	78.99989	8.29816	10.000	1.28800	0.00000	0.41040	0.00000	0.02610	0.39290	0.00000	0.03360	0.03390	0.43790	0.00000	0.77114	0.00000	0.02377	0.00000
MSM93-track	76	dataset 1	MSM93	UW	2020-07-06T19:02:00	79.00399	5.63815	10.000	2.00330	0.00000	0.10620	0.23500	0.04230	0.96240	0.14230	0.00000	0.00000	1.35106	0.19593	0.25135	0.18821	0.00000	0.00000
MSM93-track	77	dataset 1	MSM93	UW	2020-07-06T23:34:20	78.99964	5.33101	10.000	3.32080	0.00000	0.12640	0.34600	0.07550	1.61010	0.23640	0.00000	0.00000	2.35155	0.33862	0.31123	0.28830	0.00000	0.00000
MSM93-track	78	dataset 1	MSM93	UW	2020-07-11T10:04:45	79.32090	2.92390	10.000	0.76560	0.00000	0.06850	0.07790	0.00990	0.34720	0.07490	0.00000	0.00000	0.45293	0.09641	0.15156	0.06104	0.00000	0.00000
MSM93-track	79	dataset 1	MSM93	UW	2020-07-11T13:02:30	79.35921	3.32332	10.000	0.87980	0.00000	0.11900	0.04230	0.00000	0.26160	0.05580	0.00000	0.00000	0.42536	0.08899	0.32621	0.03924	0.00000	0.00000
MSM93-track	80	dataset 1	MSM93	UW	2020-07-20T03:52:00	70.32717	-19.29843	10.000	0.83370	0.00000	0.09660	0.03900	0.02260	0.43110	0.00000	0.00570	0.01460	0.55055	0.00000	0.21071	0.03602	0.00468	0.00000
MSM93-track	81	dataset 1	MSM93	UW	2020-07-22T22:00:50	70.36670	-18.01502	10.000	0.80130	0.00000	0.02920	0.04250	0.01200	0.53600	0.00000	0.02110	0.00000	0.68263	0.00000	0.06299	0.03422	0.01713	0.00000
MSM93-track	82	dataset 1	MSM93	UW	2020-07-23T22:03:00	70.36662	-16.27486	10.000	0.16290	0.00000	0.02550	0.00580	0.00000	0.05620	0.01190	0.00000	0.00000	0.08019	0.01665	0.06134	0.00472	0.00000	0.00000
MSM93_26-2	83	dataset 1	MSM93	26-2	2020-07-06T19:45:41	79.00096	5.60922	12.000	1.58480	0.00000	0.09630	0.23260	0.03190	0.74050	0.10050	0.00000	0.00000	1.01224	0.13665	0.22508	0.19835	0.00000	0.00000
MSM93_27-1	84	dataset 1	MSM93	27-1	2020-07-06T22:05:21	78.99965	5.33100	12.000	3.64000	0.00000	0.14640	0.33520	0.09200	2.00240	0.28260	0.00000	0.00000	2.65667	0.36773	0.32746	0.25372	0.00000	0.00000
PS126_0_Underway-26	100	dataset 2	PS126	UW	2021-05-26T17:11:20	62.18760	3.13290	11.000	0.49600	0.00000	0.02400	0.18600	0.00800	0.04500	0.11600	0.00000	0.00500	0.06841	0.17981	0.06395	0.17043	0.00000	0.00000
PS126_0_Underway-26	101	dataset 2	PS126	UW	2021-05-28T05:00:00	68.88470	3.72850	11.000	0.34500	0.00000	0.01100	0.15900	0.02700	0.06500	0.01600	0.00000	0.00400	0.09698	0.02673	0.03159	0.16825	0.00000	0.00000
PS126_0_Underway-26	102	dataset 2	PS126	UW	2021-05-28T14:19:00	70.74240	3.94160	11.000	2.30400	0.00000	0.20800	0.30500	0.20600	0.48200	0.13700	0.01500	0.19700	0.76396	0.21297	0.55580	0.27580	0.01509	0.00000
PS126_0_Underway-26	103	dataset 2	PS126	UW	2021-05-30T11:00:00	78.62160	6.80050	11.000	0.49400	0.00000	0.00700	0.08600	0.01600	0.13400	0.00000	0.00600	0.01700	0.28655	0.00000	0.02599	0.11658	0.00839	0.00000
PS126_0_Underway-26	104	dataset 2	PS126	UW	2021-06-02T17:00:00	79.04770	4.14090	11.000	2.90600	0.00000	0.02700	0.66300	0.14100	0.65500	0.06000	0.04000	0.02400	1.54422	0.13874	0.10732	0.89176	0.05985	0.00000
PS126_0_Underway-26	105	dataset 2	PS126	UW	2021-06-03T05:01:00	79.05830	4.28590	11.000	4.31000	0.00000	0.03700	1.48100	0.20700	1.38000	0.00000	0.03800	0.02300	2.47989	0.00000	0.11210	1.51836	0.04334	0.00000
PS126_0_Underway-26	106	dataset 2	PS126	UW	2021-06-05T20:00:00	79.20070	5.90660	11.000	3.16800	0.00000	0.02900	0.23000	0.13000	1.04400	0.00000	0.03100	0.01400	2.54834	0.00000	0.11934	0.32030	0.04802	0.00000
PS126_0_Underway-26	107	dataset 2	PS126	UW	2021-06-06T05:00:00	79.13230	6.21860	11.000	1.89600	0.00000	0.03000	0.42000	0.05100	0.40200	0.03900	0.01100	0.02800	0.92053	0.09219	0.12190	0.62595	0.01683	0.00000
PS126_0_Underway-26	108	dataset 2	PS126	UW	2021-06-06T08:00:00	79.08590	6.51880	11.000	1.41500	0.00000	0.05000	0.21300	0.02800	0.28500	0.03700	0.03200	0.02100	0.67244	0.08831	0.20515	0.31690	0.04942	0.00000
PS126_0_Underway-26	109	dataset 2	PS126	UW	2021-06-06T11:03:00	79.02650	6.91580	11.000	1.45100	0.00000	0.10500	0.37200	0.06100	0.22200	0.07100	0.01200	0.12300	0.33294	0.11767	0.29913	0.40084	0.01287	0.00000
PS126_0_Underway-26	110	dataset 2	PS126	SV-IV	2021-06-06T16:53:47	79.02330	7.08380	10.000	1.10700	0.00000	0.00000	0.13400	0.02200	0.27000	0.03100	0.00000	0.01000	0.73868	0.08510	0.00000	0.23104	0.00000	0.00000
PS126_0_Underway-26	111	dataset 2	PS126	UW	2021-06-06T14:00:00	79.01630	7.04090	11.000	1.49600	0.00000	0.08700	0.33500	0.10700	0.27900	0.00000	0.00200	0.05900	0.47293	0.00000	0.30407	0.50170	0.00263	0.00000
PS126_0_Underway-26	112	dataset 2	PS126	UW	2021-06-09T07:11:21	79.07250	4.22610	11.000	0.42000	0.00000	0.05400	0.07800	0.01300	0.06600	0.00000	0.01600	0.02700	0.10639	0.00000	0.15360	0.08004	0.01713	0.00000
PS126_0_Underway-26	113	dataset 2	PS126	UW	2021-06-18T08:22:00	79.10840	3.02820	11.000	1.95100	0.00000	0.06700	0.76300	0.08000	0.35900	0.06000	0.00000	0.03300	0.60826	0.11150	0.21402	0.89672	0.00000	0.00000
PS126_0_Underway-26	114	dataset 2	PS126	UW	2021-06-20T14:07:25	79.08390	4.13590	11.000	2.73600	0.00000	0.05700	1.00900	0.08500	0.46400	0.08100	0.00000	0.04000	0.98495	0.16863	0.20399	1.22195	0.00000	0.00000
PS126_0_Underway-26	115	dataset 2	PS126	UW	2021-06-22T19:57:20	74.63350	4.92760	11.000	2.69900	0.00000	0.07300	0.47000	0.09300	0.51600	0.16400	0.01800	0.56000	0.77280	0.24090	0.18432	0.40159	0.01711	0.00000
PS126_0_Underway-26	116	dataset 2	PS126	UW	2021-06-24T05:03:25	68.41590	3.68030	11.000	2.02300	0.00000	0.03700	0.83800	0.24100	0.57500	0.11700	0.01100	0.06100	0.84229	0.16809	0.09137	0.70033	0.01023	0.00000
PS126_0_Underway-26	117	dataset 2	PS126	UW	2021-06-24T22:59:00	64.97090	3.35810	11.000	1.48700	0.00000	0.13600	0.77600	0.10600	0.20300	0.18100	0.07600	0.04100	0.18675	0.22339	0.28853	0.62583	0.06069	0.00000
PS126_0_Underway-26	118	dataset 2	PS126	UW	2021-06-25T16:59:30	61.59530	3.11240	11.000	0.80300	0.00000	0.05500	0.24300	0.04300	0.08400	0.08600	0.09300	0.04500	0.10474	0.12857	0.14134	0.23461	0.08996	0.00000
PS131-track	119	dataset 2	PS131	UW	2022-06-29T09:38:00	56.79696	5.63027	9.000	0.80435	0.00000	0.03375	0.21459	0.03767	0.07703	0.09684	0.07195	0.02005	0.11955	0.17662	0.10581	0.25135	0.08491	0.00000
PS131-track	120	dataset 2	PS131	UW	2022-06-29T17:20:30	58.07153	4.78559	9.000	0.36308	0.00000	0.02642	0.10028	0.00918	0.04393	0.00800	0.06597	0.01488	0.07044	0.01316	0.07470	0.09918	0.07021	0.00000
PS131-track	121	dataset 2	PS131	UW	2022-06-29T21:06:30	58.69234	4.35441	9.000	0.25186	0.00000	0.01646	0.06052	0.00985	0.04891	0.01682	0.05210	0.00000	0.07224	0.02541	0.04274	0.05627	0.05092	0.00000
PS131-track	122	dataset 2	PS131	UW	2022-06-30T17:36:00	62.24853	4.19311	9.000	0.26172	0.00000	0.03348	0.08193	0.00702	0.02305	0.00266	0.04348	0.01201	0.03278	0.00394	0.08522	0.07259	0.04166	0.00000
PS131-track	123	dataset 2	PS131	UW	2022-07-01T05:36:30	64.29151	3.56802	9.000	0.97590	0.00000	0.05887	0.00586	0.04831	0.22439	0.04606	0.03730	0.01927	0.47754	0.10172	0.22347	0.03524	0.05330	0.00000
PS131-track	124	dataset 2	PS131	UW	2022-07-01T09:29:30	64.51489	3.43407	9.000	1.60609	0.00000	0.09188	0.87726	0.10861	0.28991	0.11551	0.05208	0.00000	0.33330	0.16213	0.22168	0.79784	0.04730	0.00000
PS131-track	125	dataset 2	PS131	UW	2022-07-04T21:29:14	77.50175	6.62300	9.000	1.34469	0.00000	0.08227	0.37902	0.06626	0.25483	0.11561	0.02434	0.05604	0.36911	0.18437	0.22553	0.39685	0.02512	0.00000
PS131-track	126	dataset 2	PS131	UW	2022-07-05T05:28:50	78.92495	6.98040	9.000	1.52259	0.00000	0.07802	0.56819	0.05549	0.28831	0.05284	0.00000	0.08261	0.44177	0.08631	0.21907	0.57828	0.00000	0.00000
PS131-track	127	dataset 2	PS131	UW	2022-07-05T09:38:52	79.01544	6.92416	9.000	1.34293	0.00000	0.10322	0.36407	0.00794	0.26160	0.07198	0.00000	0.07807	0.42899	0.11658	0.28736	0.34599	0.00000	0.00000
PS131-track	128	dataset 2	PS131	UW	2022-07-05T13:28:30	79.16041	6.27162	9.000	1.12528	0.00000	0.09394	0.32373	0.05778	0.20184	0.06010	0.00000	0.05615	0.29170	0.09613	0.25829	0.33869	0.00000	0.00000
PS131-track	129	dataset 2	PS131	UW	2022-07-05T22:08:32	78.60920	5.06624	9.000	1.50548	0.00000	0.11742	0.41221	0.07409	0.29606	0.08906	0.01909	0.08194	0.41721	0.13821	0.31323	0.42336	0.01917	0.00000
PS131-track	130	dataset 2	PS131	UW	2022-08-12T01:35:05	69.33982	-18.13911	9.000	0.55010	0.00000	0.20667	0.02402	0.01376	0.08444	0.01149	0.01896	0.00000	0.09478	0.01309	0.40458	0.01918	0.01397	0.00000
PS131-track	131	dataset 2	PS131	UW	2022-07-06T01:30:15	78.60904	5.06683	9.000	1.94950	0.00000	0.15280	0.56079	0.08913	0.41329	0.09245	0.00000	0.10435	0.58491	0.14297	0.40618	0.57119	0.00000	0.00000
PS131-track	132	dataset 2	PS131	UW	2022-07-06T05:55:15	78.66533	5.33896	9.000	1.64523	0.00000	0.12598	0.47369	0.06735	0.35084	0.04887	0.00000	0.08801	0.52426	0.07809	0.34602	0.48760	0.00000	0.00000
PS131-track	133	dataset 2	PS131	UW	2022-07-06T09:25:50	79.00663	7.00706	9.000	1.52785	0.00000	0.08654	0.53859	0.07383	0.24006	0.07315	0.00000	0.09105	0.35172	0.12192	0.24795	0.57844	0.00000	0.00000
PS131-track	134	dataset 2	PS131	UW	2022-07-06T13:33:38	78.99796	7.97632	9.000	1.62282	0.00000	0.07267	0.60967	0.08067	0.29893	0.05555	0.00000	0.08203	0.44721	0.09321	0.20961	0.65933	0.00000	0.00000
PS131-track	135	dataset 2	PS131	UW	2022-07-06T17:53:48	78.98039	7.94524	9.000	1.24508	0.00000	0.08744	0.22725	0.04156	0.41013	0.05411	0.01544	0.04679	0.60069	0.08058	0.22384	0.21893	0.01488	0.00000
PS131-track	136	dataset 2	PS131	UW	2022-07-07T01:33:35	78.98703	8.41670	9.000	2.23326	0.00000	0.12379	0.16549	0.03481	1.09061	0.06029	0.02206	0.03280	1.60506	0.08702	0.30714	0.13895	0.02060	0.00000
PS131-track	137	dataset 2	PS131	UW	2022-07-07T05:52:22	78.99981	6.99847	9.000	1.69273	0.00000	0.09588	0.59671	0.08180	0.26597	0.08104	0.00000	0.10087	0.38719	0.13508	0.27471	0.64337	0.00000	0.00000
PS131-track	138	dataset 2	PS131	UW	2022-07-07T09:24:00	79.01267	7.00486	9.000	1.37188	0.00000	0.06538	0.40090	0.04387	0.32460	0.05460	0.00000	0.06446	0.52210	0.09074	0.18677	0.41547	0.00000	0.00000
PS131-track	139	dataset 2	PS131	UW	2022-07-07T13:24:08	79.00719	6.42327	9.000	1.49911	0.00000	0.08439	0.45078	0.08192	0.32772	0.07742	0.00000	0.06715	0.47879	0.12513	0.23445	0.48505	0.00000	0.00000
PS131_6-5	140	dataset 2	PS131	PS131_6-5	2022-07-06T04:39:00	78.60933	5.06642	0.000	1.83595	0.00000	0.15383	0.52910	0.08475	0.40469	0.07502	0.00000	0.09967	0.56478	0.11377	0.40102	0.52776	0.00000	0.00000
PS131-track	141	dataset 2	PS131	UW	2022-07-07T17:36:13	78.94302	5.97916	9.000	2.11182	0.00000	0.08416	0.73445	0.12701	0.35283	0.11125	0.00000	0.12066	0.61645	0.19063	0.24790	0.73208	0.00000	0.00000
PS131-track	142	dataset 2	PS131	UW	2022-07-07T21:29:04	78.98322	6.90827	9.000	1.91973	0.00000	0.09722	0.23827	0.00535	0.81342	0.05419	0.01805	0.04011	1.26869	0.08300	0.25597	0.21393	0.01789	0.00000
PS131-track	143	dataset 2	PS131	UW	2022-07-08T01:35:08	78.98450	6.29017	9.000	1.28009	0.00000	0.07666	0.22809	0.03699	0.44041	0.04095	0.01641	0.04046	0.67530	0.06338	0.20397	0.22513	0.01644	0.00000
PS131-track	144	dataset 2	PS131	UW	2022-07-08T05:28:03	79.10990	6.22879	9.000	1.55112	0.00000	0.07811	0.47775	0.05421	0.31190	0.05706	0.00000	0.07276	0.51222	0.09888	0.23267	0.52045	0.00000	0.00000
PS131-track	145	dataset 2	PS131	UW	2022-07-08T09:30:10	79.16672	6.33154	9.000	1.47863	0.00000	0.08118	0.28971	0.05195	0.53949	0.03333	0.00000	0.05014	0.80770	0.05081	0.21272	0.28771	0.00000	0.00000
PS131-track	146	dataset 2	PS131	UW	2022-07-08T17:34:10	78.98532	7.12403	9.000	1.49717	0.00000	0.04118	0.64653	0.06119	0.22437	0.05451	0.00000	0.08353	0.35387	0.09560	0.12415	0.70693	0.00000	0.00000
PS131-track	147	dataset 2	PS131	UW	2022-07-11T01:22:45	79.77596	4.87210	9.000	0.29202	0.00000	0.03638	0.01943	0.00562	0.07802	0.00000	0.00000	0.01384	0.13312	0.00000	0.10583	0.02063	0.00000	0.00000
PS131-track	148	dataset 2	PS131	UW	2022-07-16T05:42:40	80.92728	8.82533	9.000	0.46897	0.00000	0.02842	0.01007	0.00000	0.21371	0.01610	0.02492	0.00000	0.33523	0.02477	0.07516	0.00901	0.02481	0.00000
PS131-track	149	dataset 2	PS131	UW	2022-07-16T09:38:05	80.75377	10.68894	9.000	0.35132	0.00000	0.04291	0.00000	0.00000	0.12948	0.02093	0.01775	0.00000	0.19472	0.03087	0.10879	0.00000	0.01694	0.00000
PS131-track	150	dataset 2	PS131	UW	2022-07-16T13:32:55	80.62966	11.85873	9.000	0.47512	0.00000	0.00000	0.06128	0.00554	0.17784	0.00990	0.00000	0.00000	0.37505	0.02059	0.00000	0.07617	0.00000	0.00000
PS131-track	151	dataset 2	PS131	UW	2022-07-17T01:35:55	80.82533	9.14833	9.000	0.32026	0.00000	0.03485	0.01647	0.00000	0.07640	0.01343	0.01200	0.00000	0.14799	0.02551	0.11381	0.01820	0.01475	0.00000
PS131-track	152	dataset 2	PS131	UW	2022-07-17T05:44:53	80.93373	8.80979	9.000	0.19641	0.00000	0.00000	0.00841	0.00000	0.05617	0.01764	0.02026	0.00000	0.12107	0.03729	0.00000	0.01034	0.02771	0.00000
PS131_35-6	153	dataset 2	PS131	PS131_35-6	2022-07-10T23:33:00	79.71841	4.43445	0.000	1.49152	0.00000	0.15481	0.26310	0.04469	0.33563	0.00000	0.02844	0.03032	0.58455	0.00000	0.47759	0.30429	0.03303	0.00000
PS131-track	154	dataset 2	PS131	UW	2022-07-17T09:31:32	80.62047	9.78331	9.000	0.25015	0.00000	0.00000	0.03438	0.00000	0.05832	0.00000	0.00000	0.01844	0.14463	0.00000	0.00000	0.04864	0.00000	0.00000
PS131_56-2	155	dataset 2	PS131	PS131_56-2	2022-07-17T10:00:00	80.62018	9.78619	3.000	0.13368	0.00000	0.00000	0.01157	0.00000	0.02602	0.00000	0.00000	0.00000	0.10663	0.00000	0.00000	0.02705	0.00000	0.00000
PS131-track	156	dataset 2	PS131	UW	2022-07-17T17:54:35	80.49587	10.16370	9.000	0.39507	0.00000	0.02993	0.05179	0.00599	0.07524	0.00000	0.00000	0.01596	0.16581	0.00000	0.11276	0.06836	0.00000	0.00000
PS131-track	157	dataset 2	PS131	UW	2022-07-17T21:32:25	80.39031	10.47392	9.000	0.69056	0.00000	0.02814	0.36168	0.01046	0.09604	0.00000	0.00000	0.02942	0.16575	0.00000	0.08414	0.37055	0.00000	0.00000
PS131-track	158	dataset 2	PS131	UW	2022-07-18T01:42:46	80.39741	10.18525	9.000	0.75592	0.00000	0.02910	0.33643	0.00995	0.10008	0.00000	0.00000	0.03402	0.19118	0.00000	0.09603	0.38041	0.00000	0.00000
PS131-track	159	dataset 2	PS131	UW	2022-07-18T05:45:25	80.40175	9.97294	9.000	0.59238	0.00000	0.00000	0.24522	0.00844	0.08078	0.00000	0.00000	0.03537	0.17500	0.00000	0.00000	0.31453	0.00000	0.00000
PS131-track	160	dataset 2	PS131	UW	2022-07-18T09:24:35	80.41636	10.06073	9.000	0.59077	0.00000	0.02415	0.25254	0.01412	0.08549	0.00693	0.00000	0.03272	0.15023	0.01248	0.07476	0.27128	0.00000	0.00000
PS131-track	161	dataset 2	PS131	UW	2022-07-18T21:29:22	80.82634	9.13691	9.000	0.32802	0.00000	0.04854	0.01715	0.00000	0.08168	0.01327	0.00000	0.00000	0.14380	0.02291	0.14408	0.01723	0.00000	0.00000
PS131-track	162	dataset 2	PS131	UW	2022-07-19T01:41:24	80.95722	8.67730	9.000	0.40173	0.00000	0.06308	0.04824	0.00927	0.10307	0.01419	0.01950	0.00000	0.15301	0.02103	0.16070	0.04433	0.01870	0.00000
PS131-track	163	dataset 2	PS131	UW	2022-07-19T06:16:32	80.93985	8.69404	9.000	0.15699	0.00000	0.00000	0.01178	0.00000	0.03935	0.00000	0.01774	0.00000	0.10776	0.00000	0.00000	0.01840	0.03083	0.00000
PS131-track	164	dataset 2	PS131	UW	2022-07-19T09:22:45	80.94919	8.72307	9.000	0.26562	0.00000	0.03717	0.01599	0.00443	0.06538	0.00803	0.01403	0.00000	0.11082	0.01348	0.10725	0.01669	0.01524	0.00000
PS131-track	165	dataset 2	PS131	UW	2022-07-30T17:28:23	81.08984	3.09831	9.000	0.84199	0.00000	0.04736	0.00000	0.00000	0.39057	0.02059	0.00000	0.00000	0.67030	0.03466	0.13703	0.00000	0.00000	0.00000
PS131-track	166	dataset 2	PS131	UW	2022-08-07T17:31:50	77.43882	-15.49859	9.000	0.12028	0.00000	0.05624	0.00000	0.00000	0.01039	0.00000	0.00000	0.00000	0.01188	0.00000	0.10840	0.00000	0.00000	0.00000
PS131-track	167	dataset 2	PS131	UW	2022-08-08T11:05:17	75.67921	-15.78978	9.000	0.13198	0.00000	0.05854	0.00000	0.00175	0.00914	0.00000	0.00000	0.00000	0.01114	0.00000	0.12024	0.00000	0.00000	0.00000
PS131-track	168	dataset 2	PS131	UW	2022-08-11T01:34:42	70.69016	-24.44877	9.000	0.25111	0.00000	0.07397	0.01463	0.00727	0.04101	0.00921	0.00000	0.00000	0.05402	0.01225	0.16914	0.01292	0.00000	0.00000
PS131_107-5	169	dataset 2	PS131	PS131_107-5	2022-08-03T00:02:00	78.98275	-5.41601	2.000	0.35977	0.00000	0.11534	0.00000	0.00000	0.05057	0.00000	0.00000	0.00000	0.07425	0.00000	0.28552	0.00000	0.00000	0.00000
PS133/1-track	170	dataset 2	PS133	UW	2022-10-03T07:07:00	-35.10697	16.23821	11.000	0.46019	0.00000	0.00000	0.10506	0.04534	0.14967	0.00000	0.03078	0.00000	0.25604	0.00000	0.00000	0.14267	0.03716	0.00000
PS133/1-track	171	dataset 2	PS133	UW	2022-10-03T09:03:00	-35.29734	15.95774	11.000	0.56466	0.00000	0.03538	0.19253	0.06074	0.14703	0.01440	0.03562	0.00000	0.18866	0.02153	0.09094	0.20295	0.03446	0.00000
PS133/1-track	172	dataset 2	PS133	UW	2022-10-03T11:58:00	-35.51146	15.43731	11.000	0.36541	0.00000	0.03345	0.12185	0.04354	0.07251	0.01206	0.04052	0.00000	0.08537	0.01741	0.08301	0.12369	0.03785	0.00000
PS133/1-track	173	dataset 2	PS133	UW	2022-10-03T14:59:00	-35.80211	14.93311	11.000	0.39869	0.03587	0.05421	0.15220	0.05244	0.04025	0.01253	0.08606	0.00000	0.02844	0.01632	0.12139	0.14035	0.07254	0.03584
PS133/1-track	174	dataset 2	PS133	UW	2022-10-03T17:55:00	-36.08638	14.42735	11.000	1.25098	0.00000	0.12711	0.35712	0.12860	0.32436	0.04918	0.05842	0.05176	0.34971	0.06500	0.28877	0.36192	0.04996	0.00000
PS133/1-track	175	dataset 2	PS133	UW	2022-10-05T21:00:00	-40.42972	6.39950	11.000	0.35470	0.01944	0.06753	0.15096	0.04156	0.02277	0.01488	0.03026	0.00000	0.01165	0.01930	0.15053	0.13233	0.02539	0.01942
PS133/1-track	176	dataset 2	PS133	UW	2022-10-08T08:55:00	-45.75650	-4.19875	11.000	0.38789	0.00000	0.08621	0.10002	0.02533	0.05871	0.02555	0.01586	0.00000	0.06599	0.03204	0.18583	0.08203	0.01287	0.00000
PS133/1-track	177	dataset 2	PS133	UW	2022-10-08T12:03:00	-45.86263	-4.41994	11.000	0.28696	0.00000	0.05556	0.06867	0.01706	0.05565	0.01460	0.00000	0.00000	0.07122	0.01979	0.12946	0.05984	0.00000	0.00000
PS133/1-track	178	dataset 2	PS133	UW	2022-10-09T23:51:00	-46.03142	-8.74779	11.000	0.35948	0.00000	0.05087	0.07357	0.02760	0.09939	0.02872	0.00000	0.00000	0.12530	0.03849	0.11719	0.06786	0.00000	0.00000
PS133/1-track	179	dataset 2	PS133	UW	2022-10-12T02:56:00	-44.05848	-12.83413	11.000	0.47846	0.00000	0.08851	0.12946	0.03104	0.08508	0.03101	0.01724	0.00000	0.10100	0.04062	0.19928	0.11126	0.01461	0.00000
PS133/1-track	180	dataset 2	PS133	UW	2022-10-12T21:04:00	-46.05045	-12.07050	11.000	0.39359	0.00000	0.08275	0.06409	0.02647	0.08185	0.01751	0.00000	0.00000	0.10400	0.02392	0.19433	0.06095	0.00000	0.00000
PS133/1-track	181	dataset 2	PS133	UW	2022-10-15T20:59:00	-49.80779	-12.82493	11.000	0.40634	0.00000	0.04985	0.07456	0.03036	0.11232	0.02924	0.00000	0.00000	0.15247	0.04220	0.12367	0.07540	0.00000	0.00000
PS133/1-track	182	dataset 2	PS133	UW	2022-10-17T21:00:00	-51.10518	-21.07466	11.000	0.41852	0.00000	0.05528	0.07226	0.03649	0.12557	0.03664	0.00000	0.00000	0.15660	0.04911	0.12737	0.07136	0.00000	0.00000
PS133/1-track	183	dataset 2	PS133	UW	2022-10-21T23:49:00	-52.29023	-25.02759	11.000	2.01370	0.00000	0.00000	0.07021	0.05566	1.27137	0.12348	0.00000	0.00000	1.76778	0.16839	0.00000	0.05570	0.00000	0.00000
PS133/1-track	184	dataset 2	PS133	UW	2022-10-22T06:48:00	-52.33112	-24.97647	11.000	2.77692	0.00000	0.00000	0.09302	0.06354	1.58445	0.09407	0.00000	0.00000	2.51753	0.14659	0.00000	0.08432	0.00000	0.00000
PS133/1-track	185	dataset 2	PS133	UW	2022-10-22T12:01:00	-52.29599	-25.00698	11.000	1.66780	0.00000	0.00000	0.07529	0.04860	1.15888	0.07885	0.00000	0.00000	1.47438	0.09976	0.00000	0.07597	0.00000	0.00000
PS133/1-track	186	dataset 2	PS133	UW	2022-10-22T11:02:00	-52.31856	-24.98100	11.000	1.76881	0.00000	0.00000	0.08407	0.05109	1.27427	0.08319	0.00000	0.00000	1.56783	0.10176	0.00000	0.08125	0.00000	0.00000
PS133/1-track	187	dataset 2	PS133	UW	2022-10-22T13:07:00	-52.33131	-24.99397	11.000	1.75302	0.00000	0.00000	0.08442	0.04230	1.23952	0.07262	0.00000	0.00000	1.56784	0.09108	0.00000	0.07884	0.00000	0.00000
PS133/1-track	188	dataset 2	PS133	UW	2022-10-22T15:23:00	-52.32841	-24.94379	11.000	1.97642	0.00000	0.00000	0.08594	0.05387	1.49681	0.08210	0.00000	0.00000	1.77995	0.09695	0.00000	0.08122	0.00000	0.00000
PS133/1-track	189	dataset 2	PS133	UW	2022-10-22T17:53:00	-52.32763	-24.89467	11.000	1.98876	0.00000	0.00000	0.07512	0.04370	1.08956	0.05890	0.00000	0.00000	1.77896	0.09554	0.00000	0.09387	0.00000	0.00000
PS133/1-track	190	dataset 2	PS133	UW	2022-10-24T13:57:00	-52.12144	-33.09193	11.000	0.50312	0.00000	0.00000	0.05634	0.03472	0.29374	0.03864	0.00000	0.00000	0.38206	0.05104	0.00000	0.05684	0.00000	0.00000
PS133/1-track	191	dataset 2	PS133	UW	2022-10-24T17:56:00	-52.09446	-34.44684	11.000	0.83569	0.00000	0.04113	0.07375	0.02610	0.41568	0.07859	0.00000	0.00000	0.55826	0.10533	0.09476	0.06728	0.00000	0.00000
PS133/1-track	192	dataset 2	PS133	UW	2022-10-24T21:58:00	-52.06779	-35.78690	11.000	1.43867	0.00000	0.04169	0.07551	0.03340	0.76949	0.14054	0.00000	0.00000	1.06093	0.19251	0.09816	0.07392	0.00000	0.00000
PS133/1-track	193	dataset 2	PS133	UW	2022-10-26T03:55:00	-51.85657	-46.37882	11.000	0.40592	0.00000	0.05069	0.09110	0.03122	0.12635	0.02483	0.00000	0.00000	0.16015	0.03329	0.11682	0.08362	0.00000	0.00000
PS133/1-track	194	dataset 2	PS133	UW	2022-10-26T07:56:00	-51.82563	-47.91074	11.000	0.67258	0.00000	0.03419	0.11591	0.02075	0.34348	0.03248	0.00000	0.00000	0.45008	0.04243	0.07678	0.09550	0.00000	0.00000
PS133/1-track	195	dataset 2	PS133	UW	2022-10-26T10:04:00	-51.81002	-48.68261	11.000	0.50036	0.00000	0.05267	0.11039	0.03217	0.18216	0.02326	0.00000	0.00000	0.23583	0.03120	0.12145	0.09947	0.00000	0.00000
PS133/1-track	196	dataset 2	PS133	UW	2022-10-26T11:57:00	-51.79667	-49.33570	11.000	0.64503	0.00000	0.03127	0.14940	0.03742	0.44632	0.03296	0.00000	0.00000	0.44651	0.03325	0.05422	0.10020	0.00000	0.00000
PS133/1-track	197	dataset 2	PS133	UW	2022-10-26T15:58:00	-51.76921	-50.68613	11.000	0.43888	0.00000	0.03628	0.08606	0.02413	0.17490	0.02217	0.00000	0.00000	0.23549	0.03042	0.08557	0.07788	0.00000	0.00000
PS133/1-track	198	dataset 2	PS133	UW	2022-10-30T20:57:00	-51.21869	-52.08674	11.000	0.42860	0.00000	0.01706	0.07896	0.02488	0.19215	0.02979	0.00000	0.00000	0.26291	0.04144	0.04079	0.07350	0.00000	0.00000
PS133/1-track	199	dataset 2	PS133	UW	2022-11-02T09:02:00	-51.04772	-40.57103	11.000	3.36536	0.00000	0.00000	0.09527	0.06845	1.69254	0.00000	0.00000	0.00000	3.22501	0.00000	0.00000	0.10357	0.00000	0.00000
PS133/1-track	200	dataset 2	PS133	UW	2022-11-02T11:55:00	-51.24442	-40.06202	11.000	3.97595	0.00000	0.00000	0.09380	0.07232	2.44146	0.00000	0.00000	0.00000	3.85912	0.00000	0.00000	0.08459	0.00000	0.00000
PS133/1_8-3	201	dataset 2	PS133	PS133/1_8-3	2022-11-01T18:57:28	-50.51906	-41.79627	10.000	0.45997	0.00000	0.03735	0.10000	0.02313	0.20756	0.01922	0.00000	0.00000	0.26226	0.02457	0.08206	0.08258	0.00000	0.00000
PS133/1-track	202	dataset 2	PS133	UW	2022-11-02T13:43:00	-51.30342	-39.96973	11.000	4.23625	0.00000	0.00000	0.10339	0.06114	2.54101	0.00000	0.00000	0.00000	4.11286	0.00000	0.00000	0.09547	0.00000	0.00000
PS133/1-track	203	dataset 2	PS133	UW	2022-11-05T01:59:00	-53.45736	-36.88575	11.000	1.83451	0.00000	0.00000	0.05085	0.03836	0.91498	0.00000	0.00000	0.00000	1.73624	0.00000	0.00000	0.07748	0.00000	0.00000
PS133/1-track	204	dataset 2	PS133	UW	2022-11-05T05:55:00	-54.09382	-36.04229	11.000	0.42581	0.00000	0.01463	0.06075	0.03189	0.17902	0.00000	0.00000	0.00000	0.29256	0.00000	0.04246	0.07531	0.00000	0.00000
PS133/1-track	205	dataset 2	PS133	UW	2022-11-05T11:06:00	-54.19332	-35.90770	11.000	0.57227	0.00000	0.02393	0.06191	0.03198	0.24321	0.00000	0.00000	0.00000	0.40853	0.00000	0.07041	0.07759	0.00000	0.00000
PS133/1-track	206	dataset 2	PS133	UW	2022-11-05T13:01:00	-54.18991	-35.91359	11.000	0.49643	0.00000	0.02382	0.06080	0.03164	0.20380	0.01631	0.00000	0.00000	0.31857	0.02616	0.06567	0.07143	0.00000	0.00000
PS133/1_10-3	207	dataset 2	PS133	PS133/1_10-3	2022-11-04T03:59:00	-51.63611	-39.24509	10.000	2.02225	0.00000	0.06064	0.09910	0.03374	1.06342	0.02153	0.00000	0.00000	1.71652	0.03408	0.16502	0.09126	0.00000	0.00000
PS133/1-track	208	dataset 2	PS133	UW	2022-11-12T05:53:00	-55.56949	-40.62245	11.000	0.66917	0.00000	0.00000	0.10332	0.04671	0.49618	0.00000	0.00000	0.00000	0.56585	0.00000	0.00000	0.08781	0.00000	0.00000
PS133/1-track	209	dataset 2	PS133	UW	2022-11-12T09:02:00	-55.53367	-41.58675	11.000	0.45484	0.00000	0.00000	0.03396	0.01707	0.38888	0.00000	0.00000	0.00000	0.42397	0.00000	0.00000	0.02557	0.00000	0.00000
PS133/1-track	210	dataset 2	PS133	UW	2022-11-12T14:57:00	-55.46881	-43.32487	11.000	0.53986	0.00000	0.00000	0.07766	0.02916	0.33249	0.02030	0.00000	0.00000	0.43222	0.02654	0.00000	0.07013	0.00000	0.00000
PS133/1-track	211	dataset 2	PS133	UW	2022-11-12T18:00:00	-55.43509	-44.22541	11.000	0.62168	0.00000	0.00000	0.08173	0.03324	0.34924	0.02332	0.00000	0.00000	0.49282	0.03321	0.00000	0.08204	0.00000	0.00000
PS133/1-track	212	dataset 2	PS133	UW	2022-11-13T02:55:00	-55.34637	-46.59828	11.000	0.61494	0.00000	0.00000	0.10139	0.03692	0.42694	0.03514	0.00000	0.00000	0.48229	0.04001	0.00000	0.08055	0.00000	0.00000
PS133/1-track	213	dataset 2	PS133	UW	2022-11-13T09:59:00	-55.16469	-48.30813	11.000	0.39182	0.00000	0.03399	0.08091	0.01653	0.18459	0.00759	0.00000	0.00000	0.23571	0.00972	0.07480	0.06550	0.00000	0.00000
PS133/1-track	214	dataset 2	PS133	UW	2022-11-15T00:02:00	-54.11322	-56.94662	11.000	0.86936	0.00000	0.00000	0.16728	0.01320	0.68760	0.03100	0.00000	0.00000	0.72808	0.03235	0.00000	0.10497	0.00000	0.00000
PS133/1-track	215	dataset 2	PS133	UW	2022-11-15T02:59:00	-54.01905	-57.69760	11.000	0.49631	0.00000	0.00000	0.08387	0.00921	0.21074	0.01622	0.00000	0.00000	0.37405	0.02849	0.00000	0.08911	0.00000	0.00000
PS136-track	216	dataset 2	PS136	UW	2023-05-25T22:50:59	65.19640	3.86424	11.000	1.06904	0.00000	0.13581	0.22751	0.02116	0.28016	0.08584	0.00000	0.03333	0.38022	0.11681	0.31767	0.18855	0.00000	0.00000
PS136-track	217	dataset 2	PS136	UW	2023-05-26T08:02:00	66.65343	3.51317	11.000	1.21326	0.00000	0.11576	0.33043	0.01989	0.43161	0.09153	0.00000	0.02331	0.54972	0.11591	0.25198	0.25097	0.00000	0.00000
PS136-track	218	dataset 2	PS136	UW	2023-05-27T16:57:00	72.37281	4.22070	11.000	2.40165	0.00000	0.11778	0.28074	0.06066	1.02856	0.05056	0.00000	0.01397	1.67887	0.08094	0.32411	0.26143	0.00000	0.00000
PS136-track	219	dataset 2	PS136	UW	2023-05-27T19:50:00	72.98396	4.40501	11.000	1.10858	0.00000	0.11091	0.34253	0.05603	0.21624	0.07407	0.00000	0.00000	0.31305	0.11721	0.30168	0.35114	0.00000	0.00000
PS136-track	220	dataset 2	PS136	UW	2023-05-28T11:14:00	75.87060	5.10040	11.000	0.62009	0.00000	0.07053	0.16657	0.05119	0.10833	0.01774	0.00000	0.00000	0.15743	0.03047	0.20823	0.19868	0.00000	0.00000
PS136-track	221	dataset 2	PS136	UW	2023-05-28T14:05:00	76.43720	5.09304	11.000	0.70195	0.00000	0.09849	0.09688	0.06355	0.10329	0.06323	0.00000	0.03414	0.12600	0.09739	0.26074	0.12301	0.00000	0.00000
PS136-track	222	dataset 2	PS136	UW	2023-05-28T17:13:00	77.05984	5.08495	11.000	0.54609	0.00000	0.09241	0.08666	0.03623	0.07668	0.02829	0.00000	0.02039	0.10376	0.04388	0.24644	0.09573	0.00000	0.00000
PS136-track	223	dataset 2	PS136	UW	2023-05-28T19:58:00	77.60112	5.07715	11.000	1.89243	0.00000	0.18588	0.10577	0.05550	0.57484	0.02205	0.00000	0.02273	1.03623	0.04037	0.58479	0.14908	0.00000	0.00000
PS136-track	224	dataset 2	PS136	UW	2023-05-31T20:54:00	79.09381	4.55607	11.000	0.68182	0.00000	0.11085	0.09842	0.03591	0.12185	0.03406	0.00000	0.01537	0.17663	0.05327	0.29804	0.10724	0.00000	0.00000
PS136-track	225	dataset 2	PS136	UW	2023-06-01T13:07:00	79.02888	4.32509	11.000	5.28334	0.00000	0.16952	0.08710	0.02039	1.37779	0.02966	0.00000	0.00000	4.16409	0.08793	0.86376	0.15019	0.00000	0.00000
PS136-track	226	dataset 2	PS136	UW	2023-06-01T18:46:00	79.08374	4.38715	11.000	6.39074	0.00000	0.12550	0.13217	0.00727	2.08274	0.00000	0.00000	0.00000	5.61194	0.00000	0.57009	0.20318	0.00000	0.00000
PS136_7-1	227	dataset 2	PS136	HG3	2023-05-31T21:31:08	79.10703	4.59656	10.000	0.87467	0.00000	0.16557	0.12736	0.05906	0.16825	0.02945	0.00000	0.01558	0.21934	0.04320	0.41737	0.14089	0.00000	0.00000
PS136_10-1	228	dataset 2	PS136	HG2	2023-06-01T23:32:53	79.13110	4.91684	10.000	0.51200	0.00000	0.09868	0.10449	0.03864	0.07259	0.01475	0.00000	0.00000	0.09535	0.02286	0.26295	0.11361	0.00000	0.00000
PS136-track	229	dataset 2	PS136	UW	2023-06-02T08:05:00	79.05157	5.13871	11.000	0.89467	0.00000	0.14462	0.09139	0.02569	0.18618	0.05500	0.00000	0.00000	0.29479	0.08882	0.40147	0.09765	0.00000	0.00000
PS136_13-1	230	dataset 2	PS136	SV3	2023-06-03T21:16:39	79.00014	8.22608	5.000	1.03314	0.00000	0.10261	0.27043	0.10865	0.20407	0.01104	0.00000	0.00000	0.27644	0.01952	0.31201	0.36990	0.00000	0.00000
PS136-track	231	dataset 2	PS136	UW	2023-06-03T20:17:00	79.00498	7.90051	11.000	1.02236	0.00000	0.13724	0.26635	0.07385	0.18432	0.03951	0.00000	0.00000	0.25008	0.06317	0.37713	0.29804	0.00000	0.00000
PS136-track	232	dataset 2	PS136	UW	2023-06-16T14:20:00	79.18413	5.45333	11.000	0.75552	0.00000	0.05292	0.18807	0.03714	0.20003	0.05817	0.00000	0.00000	0.30555	0.09288	0.14525	0.19478	0.00000	0.00000
PS136-track	233	dataset 2	PS136	UW	2023-06-16T17:06:00	78.79319	6.51143	11.000	1.97388	0.00000	0.11562	0.78938	0.05122	0.23281	0.19678	0.00000	0.00000	0.38426	0.35094	0.35444	0.85797	0.00000	0.00000