Tornabene, Brian J; Breuner, Creagh W (2020): Survival of larval northern leopard frogs (Rana pipiens) throughout chronic NaCl exposure experiment [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.919209, In: Tornabene, BJ; Breuner, CW (2020): Morphology, survival and corticosterone release rates of larval northern leopard frogs throughout chronic NaCl exposure experiment [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.923785
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Abstract:
We investigated the influence of chronic exposure to four different concentrations of salinity (NaCl) on survival of larval Northern Leopard Frogs (Rana pipiens) across 24 d. We also assessed if corticosterone mediates lethal effects of NaCl by inhibiting actions of corticosterone for half of the larvae in each treatment using mifepristone (a glucocorticoid antagonist). The dataset contains survival data (percent of larvae surviving) per group and day
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
Parameter(s):
# | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
---|---|---|---|---|---|---|
1 | Sample ID | Sample ID | Tornabene, Brian J | |||
2 | Treatment: NaCl | T:NaCl | mg/l | Tornabene, Brian J | Chloride titration strips, Hach | |
3 | Treatment: hormones | T:hormones | Tornabene, Brian J | RU486 SKU M8046, Sigma Aldrich | Mifepristone | |
4 | Survival | Survival | % | Tornabene, Brian J | Calculated | |
5 | Day | Day | Tornabene, Brian J |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
1000 data points
Data
1 Sample ID | 2 T:NaCl [mg/l] | 3 T:hormones | 4 Survival [%] | 5 Day |
---|---|---|---|---|
1 | 0 | No | 100 | 0 |
2 | 0 | No | 100 | 1 |
3 | 0 | No | 100 | 2 |
4 | 0 | No | 100 | 3 |
5 | 0 | No | 100 | 4 |
6 | 0 | No | 100 | 5 |
7 | 0 | No | 100 | 6 |
8 | 0 | No | 100 | 7 |
9 | 0 | No | 100 | 8 |
10 | 0 | No | 100 | 9 |
11 | 0 | No | 100 | 10 |
12 | 0 | No | 100 | 11 |
13 | 0 | No | 100 | 12 |
14 | 0 | No | 100 | 13 |
15 | 0 | No | 100 | 14 |
16 | 0 | No | 100 | 15 |
17 | 0 | No | 100 | 16 |
18 | 0 | No | 100 | 17 |
19 | 0 | No | 100 | 18 |
20 | 0 | No | 100 | 19 |
21 | 0 | No | 100 | 20 |
22 | 0 | No | 100 | 21 |
23 | 0 | No | 100 | 22 |
24 | 0 | No | 100 | 23 |
25 | 0 | No | 100 | 24 |
26 | 0 | Yes | 100 | 0 |
27 | 0 | Yes | 100 | 1 |
28 | 0 | Yes | 100 | 2 |
29 | 0 | Yes | 95 | 3 |
30 | 0 | Yes | 95 | 4 |
31 | 0 | Yes | 95 | 5 |
32 | 0 | Yes | 95 | 6 |
33 | 0 | Yes | 95 | 7 |
34 | 0 | Yes | 95 | 8 |
35 | 0 | Yes | 95 | 9 |
36 | 0 | Yes | 95 | 10 |
37 | 0 | Yes | 95 | 11 |
38 | 0 | Yes | 95 | 12 |
39 | 0 | Yes | 95 | 13 |
40 | 0 | Yes | 95 | 14 |
41 | 0 | Yes | 95 | 15 |
42 | 0 | Yes | 95 | 16 |
43 | 0 | Yes | 95 | 17 |
44 | 0 | Yes | 95 | 18 |
45 | 0 | Yes | 95 | 19 |
46 | 0 | Yes | 95 | 20 |
47 | 0 | Yes | 95 | 21 |
48 | 0 | Yes | 95 | 22 |
49 | 0 | Yes | 95 | 23 |
50 | 0 | Yes | 95 | 24 |
51 | 200 | No | 100 | 0 |
52 | 200 | No | 100 | 1 |
53 | 200 | No | 95 | 2 |
54 | 200 | No | 95 | 3 |
55 | 200 | No | 95 | 4 |
56 | 200 | No | 95 | 5 |
57 | 200 | No | 95 | 6 |
58 | 200 | No | 90 | 7 |
59 | 200 | No | 90 | 8 |
60 | 200 | No | 90 | 9 |
61 | 200 | No | 90 | 10 |
62 | 200 | No | 90 | 11 |
63 | 200 | No | 90 | 12 |
64 | 200 | No | 90 | 13 |
65 | 200 | No | 90 | 14 |
66 | 200 | No | 90 | 15 |
67 | 200 | No | 90 | 16 |
68 | 200 | No | 90 | 17 |
69 | 200 | No | 90 | 18 |
70 | 200 | No | 90 | 19 |
71 | 200 | No | 90 | 20 |
72 | 200 | No | 90 | 21 |
73 | 200 | No | 90 | 22 |
74 | 200 | No | 90 | 23 |
75 | 200 | No | 90 | 24 |
76 | 200 | Yes | 100 | 0 |
77 | 200 | Yes | 100 | 1 |
78 | 200 | Yes | 100 | 2 |
79 | 200 | Yes | 95 | 3 |
80 | 200 | Yes | 95 | 4 |
81 | 200 | Yes | 90 | 5 |
82 | 200 | Yes | 90 | 6 |
83 | 200 | Yes | 85 | 7 |
84 | 200 | Yes | 80 | 8 |
85 | 200 | Yes | 80 | 9 |
86 | 200 | Yes | 80 | 10 |
87 | 200 | Yes | 80 | 11 |
88 | 200 | Yes | 80 | 12 |
89 | 200 | Yes | 80 | 13 |
90 | 200 | Yes | 80 | 14 |
91 | 200 | Yes | 80 | 15 |
92 | 200 | Yes | 80 | 16 |
93 | 200 | Yes | 80 | 17 |
94 | 200 | Yes | 80 | 18 |
95 | 200 | Yes | 80 | 19 |
96 | 200 | Yes | 80 | 20 |
97 | 200 | Yes | 80 | 21 |
98 | 200 | Yes | 80 | 22 |
99 | 200 | Yes | 80 | 23 |
100 | 200 | Yes | 80 | 24 |
101 | 1000 | No | 100 | 0 |
102 | 1000 | No | 100 | 1 |
103 | 1000 | No | 100 | 2 |
104 | 1000 | No | 100 | 3 |
105 | 1000 | No | 100 | 4 |
106 | 1000 | No | 100 | 5 |
107 | 1000 | No | 100 | 6 |
108 | 1000 | No | 100 | 7 |
109 | 1000 | No | 100 | 8 |
110 | 1000 | No | 100 | 9 |
111 | 1000 | No | 100 | 10 |
112 | 1000 | No | 100 | 11 |
113 | 1000 | No | 100 | 12 |
114 | 1000 | No | 100 | 13 |
115 | 1000 | No | 95 | 14 |
116 | 1000 | No | 90 | 15 |
117 | 1000 | No | 85 | 16 |
118 | 1000 | No | 85 | 17 |
119 | 1000 | No | 80 | 18 |
120 | 1000 | No | 80 | 19 |
121 | 1000 | No | 80 | 20 |
122 | 1000 | No | 80 | 21 |
123 | 1000 | No | 80 | 22 |
124 | 1000 | No | 80 | 23 |
125 | 1000 | No | 80 | 24 |
126 | 1000 | Yes | 100 | 0 |
127 | 1000 | Yes | 100 | 1 |
128 | 1000 | Yes | 100 | 2 |
129 | 1000 | Yes | 100 | 3 |
130 | 1000 | Yes | 100 | 4 |
131 | 1000 | Yes | 100 | 5 |
132 | 1000 | Yes | 100 | 6 |
133 | 1000 | Yes | 100 | 7 |
134 | 1000 | Yes | 95 | 8 |
135 | 1000 | Yes | 95 | 9 |
136 | 1000 | Yes | 95 | 10 |
137 | 1000 | Yes | 95 | 11 |
138 | 1000 | Yes | 95 | 12 |
139 | 1000 | Yes | 95 | 13 |
140 | 1000 | Yes | 95 | 14 |
141 | 1000 | Yes | 90 | 15 |
142 | 1000 | Yes | 85 | 16 |
143 | 1000 | Yes | 85 | 17 |
144 | 1000 | Yes | 80 | 18 |
145 | 1000 | Yes | 75 | 19 |
146 | 1000 | Yes | 75 | 20 |
147 | 1000 | Yes | 75 | 21 |
148 | 1000 | Yes | 75 | 22 |
149 | 1000 | Yes | 75 | 23 |
150 | 1000 | Yes | 75 | 24 |
151 | 4000 | No | 100 | 0 |
152 | 4000 | No | 100 | 1 |
153 | 4000 | No | 100 | 2 |
154 | 4000 | No | 90 | 3 |
155 | 4000 | No | 70 | 4 |
156 | 4000 | No | 65 | 5 |
157 | 4000 | No | 60 | 6 |
158 | 4000 | No | 60 | 7 |
159 | 4000 | No | 60 | 8 |
160 | 4000 | No | 60 | 9 |
161 | 4000 | No | 50 | 10 |
162 | 4000 | No | 50 | 11 |
163 | 4000 | No | 45 | 12 |
164 | 4000 | No | 45 | 13 |
165 | 4000 | No | 45 | 14 |
166 | 4000 | No | 40 | 15 |
167 | 4000 | No | 25 | 16 |
168 | 4000 | No | 25 | 17 |
169 | 4000 | No | 25 | 18 |
170 | 4000 | No | 20 | 19 |
171 | 4000 | No | 10 | 20 |
172 | 4000 | No | 10 | 21 |
173 | 4000 | No | 10 | 22 |
174 | 4000 | No | 10 | 23 |
175 | 4000 | No | 10 | 24 |
176 | 4000 | Yes | 100 | 0 |
177 | 4000 | Yes | 100 | 1 |
178 | 4000 | Yes | 30 | 2 |
179 | 4000 | Yes | 10 | 3 |
180 | 4000 | Yes | 10 | 4 |
181 | 4000 | Yes | 0 | 5 |
182 | 4000 | Yes | 0 | 6 |
183 | 4000 | Yes | 0 | 7 |
184 | 4000 | Yes | 0 | 8 |
185 | 4000 | Yes | 0 | 9 |
186 | 4000 | Yes | 0 | 10 |
187 | 4000 | Yes | 0 | 11 |
188 | 4000 | Yes | 0 | 12 |
189 | 4000 | Yes | 0 | 13 |
190 | 4000 | Yes | 0 | 14 |
191 | 4000 | Yes | 0 | 15 |
192 | 4000 | Yes | 0 | 16 |
193 | 4000 | Yes | 0 | 17 |
194 | 4000 | Yes | 0 | 18 |
195 | 4000 | Yes | 0 | 19 |
196 | 4000 | Yes | 0 | 20 |
197 | 4000 | Yes | 0 | 21 |
198 | 4000 | Yes | 0 | 22 |
199 | 4000 | Yes | 0 | 23 |
200 | 4000 | Yes | 0 | 24 |