Citation:

PANGAEA.923785

Name: Morphology and corticosterone release rates of larval northern leopard frogs (Rana pipiens) per day throughout chronic NaCl exposure experiment
Published: 2020-06-19
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Anthropogenic disturbances; conservation physiology; mechanism; salt; stress

Always quote citation above when using data! You can download the citation in several formats below.

Published: 2020-06-19 • DOI registered: 2022-08-09

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Abstract:

We investigated the influence of exposure to chronic salinity (NaCl) and mifepristone (a glucocorticoid antagonist) for 24 d on corticosterone release rates (baseline, stress-induced and corticosterone increase) of Northern Leopard Frogs (Rana pipiens). The dataset contains per-individual, per-day values for snout-vent length (mm), wet mass (g), developmental stage (Gosner stage), log-transformed corticosterone release rates (baseline, stress-induced, and corticosterone increase; pg/h), and mass-corrected and log-transformed release rates (pg/g/h). It also contains coefficients of determination (%) for each corticosterone release rates calculated following quantification with enzyme immunoassays. Within the dataset, 'Died' indicates if that larvae subsequently died in the experiment

Keyword(s):

Anthropogenic disturbances; conservation physiology; mechanism; salt; stress

Related to:

Tornabene, Brian J; Hossack, Blake R; Crespi, Erica J; Breuner, Creagh W (2021): Corticosterone mediates a growth-survival tradeoff for an amphibian exposed to increased salinity. 335(8), 703-715, https://doi.org/10.1002/jez.2535

Coverage:

Date/Time Start: 2018-01-07T00:00:00 * Date/Time End: 2018-11-06T00:00:00

Event(s):

Rana_pipiens * Method/Device: Experiment (EXP)

Parameter(s):

#	Name	Short Name	Unit	Principal Investigator	Method/Device	Comment
1	Sample ID	Sample ID		Tornabene, Brian J
2	Replicate	Repl		Tornabene, Brian J
3	Died yes/no	Died	y/n	Tornabene, Brian J		During experiment
4	Treatment: hormones	T:hormones		Tornabene, Brian J	RU486 SKU M8046, Sigma Aldrich	Mifepristone
5	Treatment: NaCl	T:NaCl	mg/l	Tornabene, Brian J	Chloride titration strips, Hach
6	DATE/TIME	Date/Time		Tornabene, Brian J		Geocode
7	Day	Day		Tornabene, Brian J
8	Stage	Stage		Tornabene, Brian J	Gosner staging tables
9	Mass	Mass	g	Tornabene, Brian J	Digital scale
10	Snout-vent length	SVL	mm	Tornabene, Brian J	Caliper
11	Corticosterone release rate, mass-corrected	C21H30O4 rel m corr	pg/g/h	Tornabene, Brian J	Corticosterone enzyme immunoassays (Cayman Chemical)	Log-transformed and mass-corrected baseline cort release rate
12	Corticosterone release rate	C21H30O4 rel	pg/h	Tornabene, Brian J	Corticosterone enzyme immunoassays (Cayman Chemical)	Log-transformed baseline cort release rate
13	Corticosterone release rate, mass-corrected	C21H30O4 rel m corr	pg/g/h	Tornabene, Brian J	Corticosterone enzyme immunoassays (Cayman Chemical)	Log-transformed and mass-corrected stress-induced cort release rate
14	Corticosterone release rate	C21H30O4 rel	pg/h	Tornabene, Brian J	Corticosterone enzyme immunoassays (Cayman Chemical)	Log-transformed stress-induced cort release rate
15	Corticosterone increase, mass-corrected	C21H30O4 incr m corr	pg/g/h	Tornabene, Brian J	Corticosterone enzyme immunoassays (Cayman Chemical)
16	Corticosterone increase	C21H30O4 incr	pg/h	Tornabene, Brian J	Corticosterone enzyme immunoassays (Cayman Chemical)
17	Coefficient of determination	R**2		Tornabene, Brian J	Calculated	Baseline cort coeffcient of variance (%)
18	Coefficient of determination	R**2		Tornabene, Brian J	Calculated	Stress-induced cort coefficient of variance (%)
19	Coefficient of determination	R**2		Tornabene, Brian J	Calculated	Cort increase coefficient of variance (%)

License:

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

Size:

2556 data points

Data

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

1 Sample ID	2 Repl	3 Died [y/n] (During experiment)	4 T:hormones (Mifepristone, RU486 SKU M8046...)	5 T:NaCl [mg/l] (Chloride titration strips, Hach)	6 Date/Time	7 Day	8 Stage (Gosner staging tables)	9 Mass [g] (Digital scale)	10 SVL [mm] (Caliper)	11 C21H30O4 rel m corr [pg/g/h] (Log-transformed and mass-corr...)	12 C21H30O4 rel [pg/h] (Log-transformed baseline cort...)	13 C21H30O4 rel m corr [pg/g/h] (Log-transformed and mass-corr...)	14 C21H30O4 rel [pg/h] (Log-transformed stress-induce...)	15 C21H30O4 incr m corr [pg/g/h] (Corticosterone enzyme immunoa...)	16 C21H30O4 incr [pg/h] (Corticosterone enzyme immunoa...)	17 R**2 (Baseline cort coeffcient of v...)	18 R**2 (Stress-induced cort coefficie...)	19 R**2 (Cort increase coefficient of ...)
1	4	No	No	0	2018-07-06	0	29	0.93	20.30	1.358	1.284	1.468	1.396	0.46	0.43	13.79	15.66	14.73
2	5	No	No	0	2018-07-06	0	31	1.41	19.70	0.837	1.179	1.560	1.904	2.45	3.45	5.61	4.26	4.94
3	12	No	No	0	2018-07-06	0	30	1.32	18.80	1.890	2.167	1.677	1.956	-1.26	-1.67	13.05	1.53	7.29
4	14	No	No	0	2018-07-06	0	30	1.38	20.90	1.649	1.970	1.765	2.086	0.64	0.88	4.20	0.37	2.29
5	39	No	Yes	0	2018-07-06	0	31	1.39	18.90	1.645	1.974	1.770	2.099	0.69	0.96	4.61	31.06	17.84
6	34	No	Yes	0	2018-07-06	0	32	1.61	19.80	1.513	1.989	1.330	1.807	-0.75	-1.21	7.53	5.54	6.54
7	30	No	Yes	0	2018-07-06	0	31	1.43	20.20	1.082	1.437	1.599	1.957	2.00	2.87	26.26	5.74	16.00
8	22	No	Yes	0	2018-07-06	0	29	1.34	19.10	2.286	2.579	2.182	2.474	-0.99	-1.32	10.74	3.25	7.00
9	47	No	No	200	2018-07-06	0	30	1.22	19.60	1.751	1.950	1.732	1.930	-0.11	-0.13	5.47	11.54	8.51
10	49	No	No	200	2018-07-06	0	29	1.20	18.10	2.332	2.514	1.845	2.028	-3.97	-4.76	1.99	7.18	4.59
11	54	No	No	200	2018-07-06	0	29	1.11	17.30	1.264	1.369	1.991	2.094	3.77	4.19	35.68	44.65	40.17
12	56	No	No	200	2018-07-06	0	30	1.40	18.40	1.589	1.927	1.466	1.803	-0.57	-0.80	3.81	2.77	3.29
13	64	No	Yes	200	2018-07-06	0	30	1.21	20.00	1.703	1.893	2.040	2.231	2.20	2.67	12.31	7.34	9.83
14	66	No	Yes	200	2018-07-06	0	28	0.81	14.60	1.980	1.770	2.133	1.923	1.20	0.97	10.67	1.54	6.11
15	77	No	Yes	200	2018-07-06	0	29	1.05	17.40	1.749	1.798	1.870	1.918	0.74	0.77	38.72	19.23	28.98
16	80	No	Yes	200	2018-07-06	0	29	1.49	20.10	1.589	1.989	1.807	2.206	1.19	1.77	20.20	28.45	24.33
17	90	No	No	1000	2018-07-06	0	31	1.53	19.80	1.932	2.357	2.380	2.805	3.90	5.96	11.51	6.53	9.02
18	89	No	No	1000	2018-07-06	0	29	1.16	16.70	1.875	2.023	1.327	1.475	-2.75	-3.19	9.91	118.07	63.99
19	97	No	No	1000	2018-07-06	0	29	1.31	19.70	1.953	2.224	2.126	2.395	1.32	1.73	10.86	4.34	7.60
20	100	No	No	1000	2018-07-06	0	30	1.35	17.80	2.007	2.307	1.717	2.018	-1.87	-2.52	7.08	106.32	56.70
21	120	No	Yes	1000	2018-07-06	0	29	1.11	17.30	1.456	1.560	2.158	2.262	4.36	4.84	17.06	6.58	11.82
22	119	No	Yes	1000	2018-07-06	0	30	1.23	17.50	1.679	1.886	1.692	1.899	0.08	0.09	20.45	18.16	19.31
23	108	No	Yes	1000	2018-07-06	0	30	1.36	19.20	0.900	1.209	1.472	1.780	1.90	2.59	24.39	4.38	14.39
24	110	No	Yes	1000	2018-07-06	0	30	1.28	19.00	1.581	1.829	0.944	1.191	-2.29	-2.93	22.52	1.94	12.23
25	128	Yes	No	4000	2018-07-06	0	31	1.85	21.20	0.779	1.396	1.658	2.274	3.07	5.68	4.21	1.83	3.02
26	123	No	No	4000	2018-07-06	0	32	1.30	19.80	1.775	2.037	1.777	2.039	0.01	0.01	10.28	3.39	6.84
27	132	No	No	4000	2018-07-06	0	29	1.12	17.70	1.466	1.579	1.883	1.996	2.24	2.51	21.81	0.38	11.10
28	133	No	No	4000	2018-07-06	0	30	1.25	18.60	0.993	1.215	1.484	1.707	1.71	2.13	6.55	0.41	3.48
29	143	Yes	Yes	4000	2018-07-06	0	29	1.05	19.80	1.454	1.502	1.577	1.625	0.56	0.59	30.96	23.19	27.08
30	150	No	Yes	4000	2018-07-06	0	29	1.16	17.50	1.867	2.016	1.790	1.939	-0.48	-0.56	15.99	11.90	13.95
31	151	Yes	Yes	4000	2018-07-06	0	30	1.21	18.40	1.306	1.497	1.541	1.732	0.98	1.19	20.89	23.31	22.10
32	160	Yes	Yes	4000	2018-07-06	0	30	1.32	20.20	1.914	2.192	1.716	1.992	-1.22	-1.61	18.37	3.68	11.03
33	6	No	No	0	2018-11-06	4	33	1.66	19.30	0.708	1.215	1.997	2.504	5.33	8.85	53.95	11.49	32.72
34	7	No	No	0	2018-11-06	4	32	1.03	18.10	1.261	1.292	1.760	1.790	2.28	2.35	19.56	6.91	13.24
35	17	No	No	0	2018-11-06	4	31	1.55	19.50	0.982	1.418	1.692	2.129	2.76	4.28	19.29	17.65	18.47
36	20	No	No	0	2018-11-06	4	32	1.65	21.80	0.358	0.859	1.493	1.995	3.02	4.99	30.75	5.28	18.02
37	24	No	Yes	0	2018-11-06	4	31	1.36	20.50	3.759	4.066	3.844	4.152	3.82	5.20	17.34	10.14	13.74
38	22	No	Yes	0	2018-11-06	4	32	1.73	21.10	2.393	2.942	2.776	3.324	5.10	8.83	11.85	3.10	7.48
39	35	No	Yes	0	2018-11-06	4	32	1.42	20.50	2.662	3.013	2.894	3.245	3.74	5.31	2.97	0.38	1.68
40	38	No	Yes	0	2018-11-06	4	34	1.76	20.40	3.258	3.823	3.444	4.009	5.30	9.33	8.45	2.87	5.66
41	41	No	No	200	2018-11-06	4	32	1.62	19.70	2.198	2.681	2.612	3.094	4.61	7.47	5.11	8.22	6.67
42	47	No	No	200	2018-11-06	4	31	1.12	19.80	1.517	1.631	1.960	2.073	2.54	2.84	13.11	1.99	7.55
43	56	No	No	200	2018-11-06	4	32	1.54	21.00	1.092	1.524	2.050	2.482	4.80	7.39	2.60	5.20	3.90
44	58	No	No	200	2018-11-06	4	33	1.11	19.60	1.921	2.027	2.387	2.492	4.05	4.49	5.06	10.02	7.54
45	63	No	Yes	200	2018-11-06	4	32	1.25	17.80	3.198	3.421	3.112	3.335	-2.02	-2.52	3.95	6.22	5.09
46	70	No	Yes	200	2018-11-06	4	31	1.19	18.20	3.561	3.735	3.581	3.755	0.72	0.85	17.90	5.66	11.78
47	79	No	Yes	200	2018-11-06	4	32	1.57	20.30	4.337	4.788	4.256	4.707	-5.92	-9.29	3.17	1.01	2.09
48	80	No	Yes	200	2018-11-06	4	33	1.79	20.80	3.323	3.905	4.147	4.729	35.48	63.51	1.44	15.23	8.34
49	84	No	No	1000	2018-11-06	4	32	1.54	19.90	0.815	1.247	1.617	2.049	2.78	4.28	10.80	19.18	14.99
50	90	No	No	1000	2018-11-06	4	35	2.02	23.70	0.615	1.316	1.886	2.589	4.75	9.59	5.00	1.84	3.42
51	95	No	No	1000	2018-11-06	4	32	1.68	20.80	0.793	1.314	1.188	1.707	1.06	1.79	28.18	3.11	15.65
52	98	No	No	1000	2018-11-06	4	32	1.78	20.60	0.896	1.472	1.185	1.760	0.82	1.45	27.33	9.59	18.46
53	101	No	Yes	1000	2018-11-06	4	33	1.81	21.80	3.812	4.405	4.544	5.137	48.82	88.36	6.06	3.86	4.96
54	106	No	Yes	1000	2018-11-06	4	32	1.96	21.60	3.457	4.130	3.667	4.340	7.39	14.49	8.61	3.89	6.25
55	113	No	Yes	1000	2018-11-06	4	33	1.68	21.10	3.917	4.435	4.308	4.826	24.03	40.37	0.56	2.09	1.33
56	124	No	No	4000	2018-11-06	4	31	1.08	18.00	1.102	1.179	2.093	2.170	5.10	5.51	8.73	12.85	10.79
57	125	No	No	4000	2018-11-06	4	32	1.38	20.40	1.004	1.327	1.708	2.029	2.78	3.84	37.22	2.42	19.82
58	134	No	No	4000	2018-11-06	4	31	0.89	18.60	1.238	1.122	2.061	1.944	4.40	3.92	1.78	0.01	0.89
59	136	Yes	No	4000	2018-11-06	4	31	0.90	16.80	2.049	1.944	2.443	2.338	3.75	3.37	23.73	18.48	21.11
60	142	Yes	Yes	4000	2018-11-06	4	30	1.03	18.60	3.292	3.322	3.572	3.602	8.69	8.95	3.04	4.98	4.01
61	148	Yes	Yes	4000	2018-11-06	4	30	0.86	16.00	2.259	2.108	2.852	2.702	7.77	6.68	6.85	0.30	3.58
62	20	No	No	0	2018-06-15	8	34	1.63	18.90	1.191	1.679	0.928	1.416	-0.76	-1.24	3.51	2.68	3.10
63	11	No	No	0	2018-06-15	8	35	1.78	20.20	1.548	2.125	2.283	2.860	5.11	9.09	15.72	11.08	13.40
64	9	No	No	0	2018-06-15	8	35	1.74	20.80	1.664	2.218	1.647	2.201	-0.09	-0.16	6.87	5.55	6.21
65	6	No	No	0	2018-06-15	8	36	1.67	20.40	1.973	2.486	1.569	2.081	-2.40	-4.00	3.51	17.32	10.42
66	40	No	Yes	0	2018-06-15	8	35	1.68	20.60	3.874	4.393	3.296	3.815	-21.13	-35.49	11.50	11.49	11.50
67	37	No	Yes	0	2018-06-15	8	36	1.84	21.20	3.215	3.825	2.889	3.499	-6.93	-12.76	4.63	10.82	7.73
68	26	No	Yes	0	2018-06-15	8	35	1.54	20.60	4.321	4.753	4.557	4.989	20.02	30.83	3.32	25.29	14.31
69	25	No	Yes	0	2018-06-15	8	35	1.60	21.60	3.796	4.266	4.422	4.892	38.68	61.89	10.14	4.27	7.21
70	41	No	No	200	2018-06-15	8	33	1.37	20.80	1.773	2.088	2.116	2.431	2.41	3.31	4.46	6.32	5.39
71	42	No	No	200	2018-06-15	8	34	1.68	21.50	1.082	1.601	0.997	1.515	-0.25	-0.41	4.61	7.97	6.29
72	56	No	No	200	2018-06-15	8	33	1.42	20.50	1.316	1.666	1.144	1.493	-0.59	-0.84	11.24	2.28	6.76
73	59	No	No	200	2018-06-15	8	35	1.63	22.00	1.295	1.783	1.169	1.658	-0.43	-0.69	27.21	8.64	17.93
74	62	No	Yes	200	2018-06-15	8	35	1.47	20.70	4.441	4.826	4.415	4.800	-2.15	-3.16	10.60	6.58	8.59
75	64	No	Yes	200	2018-06-15	8	36	1.34	19.30	3.755	4.048	4.244	4.537	26.96	36.12	12.49	16.30	14.40
76	73	No	Yes	200	2018-06-15	8	36	1.80	21.90	2.917	3.505	2.885	3.473	-0.57	-1.03	0.45	6.64	3.55
77	76	No	Yes	200	2018-06-15	8	34	1.18	19.10	4.307	4.473	4.063	4.228	-16.11	-19.01	5.15	11.66	8.41
78	81	No	No	1000	2018-06-15	8	35	1.52	20.30	1.308	1.728	1.944	2.364	3.29	5.00	3.84	11.12	7.48
79	82	Yes	No	1000	2018-06-15	8	36	2.01	23.00	1.154	1.852	1.732	2.429	2.47	4.97	0.69	5.21	2.95
80	93	No	No	1000	2018-06-15	8	35	1.46	20.90	1.200	1.579	1.579	1.957	1.53	2.23	19.49	15.53	17.51
81	97	No	No	1000	2018-06-15	8	35	1.59	21.20	0.678	1.141	0.963	1.426	0.65	1.03	27.84	0.77	14.31
82	103	No	Yes	1000	2018-06-15	8	37	2.41	24.20	2.231	3.111	2.235	3.115	0.04	0.09	1.99	17.23	9.61
83	104	No	Yes	1000	2018-06-15	8	35	1.55	20.80	4.116	4.554	4.129	4.567	0.80	1.24	14.64	5.87	10.26
84	118	No	Yes	1000	2018-06-15	8	35	1.64	21.80	3.605	4.099	3.497	3.991	-3.76	-6.17	3.51	21.87	12.69
85	120	No	Yes	1000	2018-06-15	8	36	1.52	20.60	2.169	2.589	2.789	3.208	7.52	11.43	2.49	11.53	7.01
86	125	Yes	No	4000	2018-06-15	8	36	1.99	21.60	0.652	1.343	1.147	1.836	1.23	2.44	19.25	34.76	27.01
87	129	Yes	No	4000	2018-06-15	8	34	0.95	17.70	1.270	1.221	1.209	1.160	-0.21	-0.20	0.38	18.45	9.42
88	132	Yes	No	4000	2018-06-15	8	34	0.94	18.20	1.233	1.172	1.135	1.072	-0.33	-0.31	12.73	13.93	13.33
89	129	Yes	No	4000	2018-06-15	8	34	1.16	19.20	1.615	1.765	1.932	2.079	1.86	2.16	0.70	20.96	10.83
90	5	No	No	0	2018-06-23	16	37	1.87	23.48	1.115	1.742	2.155	2.781	5.58	10.43	5.08	20.16	12.62
91	8	No	No	0	2018-06-23	16	36	1.59	22.81	2.098	2.562	2.731	3.195	7.20	11.45	11.80	28.36	20.08
92	14	No	No	0	2018-06-23	16	36	1.86	23.91	1.599	2.220	1.463	2.083	-0.64	-1.19	36.77	7.11	21.94
93	20	No	No	0	2018-06-23	16	37	1.74	23.30	1.338	1.892	1.409	1.963	0.28	0.49	28.04	40.33	34.19
94	21	No	Yes	0	2018-06-23	16	35	1.96	23.63	4.389	5.062	4.674	5.347	26.63	52.20	1.50	0.84	1.17
95	29	No	Yes	0	2018-06-23	16	37	1.63	21.63	5.476	5.965	4.688	5.177	-130.20	-212.23	5.37	11.33	8.35
96	33	No	Yes	0	2018-06-23	16	35	1.36	20.73	4.756	5.064	4.899	5.206	17.82	24.24	12.37	3.57	7.97
97	38	No	Yes	0	2018-06-23	16	37	1.84	23.30	2.904	3.514	3.694	4.304	21.95	40.39	15.19	15.76	15.48
98	42	No	No	200	2018-06-23	16	35	1.42	21.95	1.447	1.798	0.971	1.322	-1.62	-2.29	2.10	35.54	18.82
99	49	No	No	200	2018-06-23	16	35	1.49	20.71	1.777	2.175	1.746	2.144	-0.18	-0.27	9.38	17.41	13.40
100	54	No	No	200	2018-06-23	16	36	1.54	21.17	1.673	2.105	1.411	1.842	-1.24	-1.91	2.46	6.10	4.28
101	61	No	Yes	200	2018-06-23	16	36	1.51	22.24	4.080	4.493	4.486	4.898	29.62	44.73	5.60	1.07	3.34
102	66	No	Yes	200	2018-06-23	16	34	0.92	19.31	2.169	2.086	5.911	5.827	360.17	331.36	4.51	3.66	4.09
103	73	No	Yes	200	2018-06-23	16	37	1.97	24.21	1.949	2.627	3.090	3.768	14.95	29.45	9.80	16.40	13.10
104	80	No	Yes	200	2018-06-23	16	36	2.06	25.60	2.948	3.670	3.409	4.132	11.18	23.04	0.96	8.60	4.78
105	81	No	No	1000	2018-06-23	16	34	1.58	22.39	1.805	2.262	1.939	2.395	0.87	1.37	10.16	12.55	11.36
106	85	No	No	1000	2018-06-23	16	35	1.78	22.74	1.430	2.007	1.054	1.631	-1.31	-2.33	22.12	24.15	23.14
107	91	No	No	1000	2018-06-23	16	36	1.66	22.04	2.176	2.683	1.966	2.472	-1.67	-2.77	2.46	4.94	3.70
108	98	No	No	1000	2018-06-23	16	36	1.74	21.48	1.732	2.285	1.330	1.883	-1.87	-3.25	23.81	0.55	12.18
109	103	Yes	Yes	1000	2018-06-23	16	37	2.30	24.50	2.301	3.133	3.104	3.937	12.31	28.31	5.16	2.12	3.64
110	106	No	Yes	1000	2018-06-23	16	37	2.17	23.75	2.420	3.195	2.841	3.616	5.89	12.77	12.57	10.99	11.78
111	114	No	Yes	1000	2018-06-23	16	37	1.92	22.86	3.798	4.451	3.498	4.150	-11.58	-22.23	9.18	8.28	8.73
112	106	No	Yes	1000	2018-06-23	16	37	1.99	23.32	4.461	5.150	4.360	5.049	-8.32	-16.56	28.87	9.71	19.29
113	121	Yes	No	4000	2018-06-23	16	33	1.09	19.39	1.203	1.289	0.924	1.012	-0.81	-0.88	18.27	16.60	17.44
114	123	Yes	No	4000	2018-06-23	16	34	1.32	20.42	1.128	1.406	0.765	1.044	-0.94	-1.24	14.73	21.10	17.92
115	124	No	No	4000	2018-06-23	16	35	1.29	21.82	0.920	1.176	1.445	1.699	1.73	2.23	25.22	9.26	17.24
116	126	No	No	4000	2018-06-23	16	34	1.15	19.24	1.166	1.306	1.191	1.332	0.08	0.09	10.49	11.78	11.14
117	1	No	No	0	2018-01-07	24	37	1.96	23.09	1.456	2.128	2.110	2.783	3.97	7.77	4.19	0.32	2.26
118	5	No	No	0	2018-01-07	24	38	2.19	24.58	1.188	1.973	2.116	2.900	5.02	10.99	1.15	11.20	6.18
119	12	No	No	0	2018-01-07	24	37	2.00	22.42	2.110	2.803	3.031	3.724	12.47	24.95	0.54	14.86	7.70
120	14	No	No	0	2018-01-07	24	37	2.07	23.30	1.303	2.029	2.278	3.006	6.09	12.60	17.25	18.97	18.11
121	26	No	Yes	0	2018-01-07	24	37	1.67	20.14	5.890	6.403	5.561	6.074	-101.34	-169.24	4.14	9.72	6.93
122	30	No	Yes	0	2018-01-07	24	36	2.59	24.82	3.605	4.557	3.579	4.530	-0.96	-2.48	10.82	5.55	8.19
123	36	No	Yes	0	2018-01-07	24	35	1.69	19.73	4.365	4.889	5.057	5.582	78.50	132.67	6.04	7.13	6.59
124	39	No	Yes	0	2018-01-07	24	37	2.17	23.33	3.667	4.442	4.069	4.843	19.32	41.93	10.93	6.80	8.87
125	42	No	No	200	2018-01-07	24	36	1.62	21.81	1.829	2.312	2.053	2.534	1.56	2.52	20.86	0.83	10.85
126	47	No	No	200	2018-01-07	24	36	1.47	21.61	1.381	1.766	1.694	2.079	1.46	2.15	32.44	19.25	25.85
127	54	No	No	200	2018-01-07	24	37	1.82	21.92	1.278	1.876	1.131	1.730	-0.49	-0.89	16.05	0.01	8.03
128	58	No	No	200	2018-01-07	24	36	1.60	21.88	2.451	2.921	2.623	3.093	2.18	3.48	14.46	7.95	11.21
129	64	No	Yes	200	2018-01-07	24	36	1.49	22.17	4.705	5.104	5.090	5.488	51.79	77.17	2.09	6.01	4.05
130	68	No	Yes	200	2018-01-07	24	34	1.70	21.03	3.760	4.291	4.573	5.104	53.93	91.68	10.39	10.85	10.62
131	72	No	Yes	200	2018-01-07	24	35	1.13	18.45	5.054	5.176	5.099	5.221	7.22	8.16	1.07	12.42	6.75
132	73	No	Yes	200	2018-01-07	24	37	2.32	24.13	2.163	3.005	2.899	3.741	9.46	21.95	27.76	1.62	14.69
133	84	No	No	1000	2018-01-07	24	36	1.76	22.57	1.233	1.798	1.169	1.735	-0.21	-0.37	17.64	4.82	11.23
134	89	No	No	1000	2018-01-07	24	36	1.41	20.04	1.233	1.577	1.428	1.772	0.74	1.04	16.56	15.52	16.04
135	93	No	No	1000	2018-01-07	24	35	1.66	21.14	1.739	2.246	2.597	3.104	7.73	12.83	9.94	9.38	9.66
136	96	No	No	1000	2018-01-07	24	35	1.38	20.22	1.369	1.692	1.878	2.201	2.61	3.60	15.19	11.48	13.34
137	104	No	Yes	1000	2018-01-07	24	36	1.65	21.14	4.456	4.957	4.417	4.918	-3.32	-5.48	1.45	1.55	1.50
138	107	No	Yes	1000	2018-01-07	24	37	1.92	22.20	4.493	5.145	4.176	4.828	-24.27	-46.60	1.94	1.13	1.54
139	111	No	Yes	1000	2018-01-07	24	35	1.84	21.69	3.652	4.262	3.328	3.938	-10.68	-19.65	4.64	5.51	5.08
140	117	No	Yes	1000	2018-01-07	24	34	1.12	18.07	4.337	4.450	4.079	4.193	-17.36	-19.44	16.27	6.77	11.52
141	124	No	No	4000	2018-01-07	24	33	1.28	18.70	1.649	1.895	1.401	1.649	-1.14	-1.45	33.16	5.83	19.50
142	126	No	No	4000	2018-01-07	24	32	0.95	17.62	1.772	1.721	2.827	2.776	11.02	10.47	39.81	14.33	27.07