Assessing the impact of static and fluctuating ocean acidification on the behavior of Amphiprion percula
Attached is the complete raw data from Vaughan and Dixson 2021 ‘Assessing the impact of static and fluctuating ocean acidification on the behavior of Amphiprion percula ’. Data collected from the behavioral lateralization trials has been inputted into the file ‘Vaughan_2020_Lateralization_Raw’. Colu...
Main Authors: | , |
---|---|
Format: | Dataset |
Language: | unknown |
Published: |
2021
|
Subjects: | |
Online Access: | https://doi.org/10.5281/zenodo.4459414 |
id |
ftsmithonian:oai:figshare.com:article/13634601 |
---|---|
record_format |
openpolar |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
ftsmithonian |
language |
unknown |
topic |
Medicine Molecular Biology Neuroscience Evolutionary Biology Ecology Inorganic Chemistry Mental Health Infectious Diseases Virology Computational Biology Q-R Column D Column B 2 min recording period L R Columns K-L APEX Fluctuating Future Day M-N H-I B display treatment group Column E F-H Column C Amphiprion percula Attached F-G CO 2 I-J ID ocean acidification treatment group program CO 2SYS Chemosensory response data target pH NBS D-E Mettler Toledo probe Static Future Day O-P ldquo |
spellingShingle |
Medicine Molecular Biology Neuroscience Evolutionary Biology Ecology Inorganic Chemistry Mental Health Infectious Diseases Virology Computational Biology Q-R Column D Column B 2 min recording period L R Columns K-L APEX Fluctuating Future Day M-N H-I B display treatment group Column E F-H Column C Amphiprion percula Attached F-G CO 2 I-J ID ocean acidification treatment group program CO 2SYS Chemosensory response data target pH NBS D-E Mettler Toledo probe Static Future Day O-P ldquo Vaughan, Matthew A (10028099) Dixson, Danielle L (10028102) Assessing the impact of static and fluctuating ocean acidification on the behavior of Amphiprion percula |
topic_facet |
Medicine Molecular Biology Neuroscience Evolutionary Biology Ecology Inorganic Chemistry Mental Health Infectious Diseases Virology Computational Biology Q-R Column D Column B 2 min recording period L R Columns K-L APEX Fluctuating Future Day M-N H-I B display treatment group Column E F-H Column C Amphiprion percula Attached F-G CO 2 I-J ID ocean acidification treatment group program CO 2SYS Chemosensory response data target pH NBS D-E Mettler Toledo probe Static Future Day O-P ldquo |
description |
Attached is the complete raw data from Vaughan and Dixson 2021 ‘Assessing the impact of static and fluctuating ocean acidification on the behavior of Amphiprion percula ’. Data collected from the behavioral lateralization trials has been inputted into the file ‘Vaughan_2020_Lateralization_Raw’. Column A indicate the CO 2 treatment group, where “SPD” = Static Present Day, “SFD” = Static Future Day, “FPD” = Fluctuating Present Day, and “FFD” = Fluctuating Future Day. Each individual fish used from each treatment group (n=30) is displayed in Column B. Column C shows the binary results, in order, of each fish’s turns in the T-maze, and was scored as 0 (right turn) or 1 (left turn) for a total of 10 turns. The total number of turns to the right and left are provided in Column D-E. The relative lateralization ( L R ) of each fish was calculated {L R = [(Turn to the right – Turn to the left)/(Turn to the right + Turn to the left)] ∗ 100} in Column F. Absolute lateralization ( L A ) is provided in Column G. Chemosensory response data has been inputted into the file ‘Vaughan_2020_Chemosensory_Raw’. Column A and B display treatment group and fish ID (n=20) as outlined above. The cue used in trial of either Tang (nonpredator) or Cod (predator) is provided in Column C, and the control in Column D. Numbers in these are used solely for the purpose of data analysis. The side of the cue in the flume is provided in Column E, and corresponds with the cue labelled in Column C. Buckets containing either the cue or control were placed above the flume and color coded as “BS” (blue side) and “RS” (red side), as the person scoring the trials was blinded. This also helped account for the switch (from one side of the flume to the other) that occurs halfway through each trial. Columns F-G represent results from the first 2min recording period, and Columns H-I represent results from the second 2min recording period. The total tallies from each fish are provided in Column J; the totals from each side are calculated in Columns K-L, and then sorted by either cue or control in Columns M-N. Proportions and percentages in cue and control are calculated and provided in Columns O-P and Q-R, respectively. Carbonate chemistry data is compiled and provided in the ‘Vaughan_2020_Carbonate_Chemistry’. Measurements were taken each week (Column A) of each treatment group (as stated above, Column B). Column C reflects the time recordings were taken in the fluctuating treatments to hit the high, mid and low CO 2 points at “6:30”, “12:30” and “18:30”. Measurements of static treatment groups were taken at randomly selected times to get the reflection of the carbonate chemistry of these treatments, but for the purpose of clarity in this document they are listed as “Static”. Measurements were taken from a subset of tanks each that rotated each week (Column D). Our target pH NBS values (i.e. what was programmed into the APEX System) are listed in Column E. Columns F-H displayed pH NBS (taken with APEX probes), temperature °C (taken with a portable Mettler Toledo probe) and salinity (taken with a refractometer). Water samples were analyzed spectrophotometrically to provide pH T and dissolved inorganic carbon, with values provided in Columns I-J. Using the program CO2SYS, total alkalinity and p CO 2 were calculated, with values provided in Columns K-L. |
format |
Dataset |
author |
Vaughan, Matthew A (10028099) Dixson, Danielle L (10028102) |
author_facet |
Vaughan, Matthew A (10028099) Dixson, Danielle L (10028102) |
author_sort |
Vaughan, Matthew A (10028099) |
title |
Assessing the impact of static and fluctuating ocean acidification on the behavior of Amphiprion percula |
title_short |
Assessing the impact of static and fluctuating ocean acidification on the behavior of Amphiprion percula |
title_full |
Assessing the impact of static and fluctuating ocean acidification on the behavior of Amphiprion percula |
title_fullStr |
Assessing the impact of static and fluctuating ocean acidification on the behavior of Amphiprion percula |
title_full_unstemmed |
Assessing the impact of static and fluctuating ocean acidification on the behavior of Amphiprion percula |
title_sort |
assessing the impact of static and fluctuating ocean acidification on the behavior of amphiprion percula |
publishDate |
2021 |
url |
https://doi.org/10.5281/zenodo.4459414 |
long_lat |
ENVELOPE(-67.317,-67.317,-73.700,-73.700) |
geographic |
Toledo |
geographic_facet |
Toledo |
genre |
Ocean acidification |
genre_facet |
Ocean acidification |
op_relation |
https://figshare.com/articles/dataset/Assessing_the_impact_of_static_and_fluctuating_ocean_acidification_on_the_behavior_of_Amphiprion_percula/13634601 doi:10.5281/zenodo.4459414 |
op_rights |
CC BY 4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5281/zenodo.4459414 |
_version_ |
1766158465614479360 |
spelling |
ftsmithonian:oai:figshare.com:article/13634601 2023-05-15T17:51:21+02:00 Assessing the impact of static and fluctuating ocean acidification on the behavior of Amphiprion percula Vaughan, Matthew A (10028099) Dixson, Danielle L (10028102) 2021-01-23T00:00:00Z https://doi.org/10.5281/zenodo.4459414 unknown https://figshare.com/articles/dataset/Assessing_the_impact_of_static_and_fluctuating_ocean_acidification_on_the_behavior_of_Amphiprion_percula/13634601 doi:10.5281/zenodo.4459414 CC BY 4.0 CC-BY Medicine Molecular Biology Neuroscience Evolutionary Biology Ecology Inorganic Chemistry Mental Health Infectious Diseases Virology Computational Biology Q-R Column D Column B 2 min recording period L R Columns K-L APEX Fluctuating Future Day M-N H-I B display treatment group Column E F-H Column C Amphiprion percula Attached F-G CO 2 I-J ID ocean acidification treatment group program CO 2SYS Chemosensory response data target pH NBS D-E Mettler Toledo probe Static Future Day O-P ldquo Dataset 2021 ftsmithonian https://doi.org/10.5281/zenodo.4459414 2021-02-03T09:08:55Z Attached is the complete raw data from Vaughan and Dixson 2021 ‘Assessing the impact of static and fluctuating ocean acidification on the behavior of Amphiprion percula ’. Data collected from the behavioral lateralization trials has been inputted into the file ‘Vaughan_2020_Lateralization_Raw’. Column A indicate the CO 2 treatment group, where “SPD” = Static Present Day, “SFD” = Static Future Day, “FPD” = Fluctuating Present Day, and “FFD” = Fluctuating Future Day. Each individual fish used from each treatment group (n=30) is displayed in Column B. Column C shows the binary results, in order, of each fish’s turns in the T-maze, and was scored as 0 (right turn) or 1 (left turn) for a total of 10 turns. The total number of turns to the right and left are provided in Column D-E. The relative lateralization ( L R ) of each fish was calculated {L R = [(Turn to the right – Turn to the left)/(Turn to the right + Turn to the left)] ∗ 100} in Column F. Absolute lateralization ( L A ) is provided in Column G. Chemosensory response data has been inputted into the file ‘Vaughan_2020_Chemosensory_Raw’. Column A and B display treatment group and fish ID (n=20) as outlined above. The cue used in trial of either Tang (nonpredator) or Cod (predator) is provided in Column C, and the control in Column D. Numbers in these are used solely for the purpose of data analysis. The side of the cue in the flume is provided in Column E, and corresponds with the cue labelled in Column C. Buckets containing either the cue or control were placed above the flume and color coded as “BS” (blue side) and “RS” (red side), as the person scoring the trials was blinded. This also helped account for the switch (from one side of the flume to the other) that occurs halfway through each trial. Columns F-G represent results from the first 2min recording period, and Columns H-I represent results from the second 2min recording period. The total tallies from each fish are provided in Column J; the totals from each side are calculated in Columns K-L, and then sorted by either cue or control in Columns M-N. Proportions and percentages in cue and control are calculated and provided in Columns O-P and Q-R, respectively. Carbonate chemistry data is compiled and provided in the ‘Vaughan_2020_Carbonate_Chemistry’. Measurements were taken each week (Column A) of each treatment group (as stated above, Column B). Column C reflects the time recordings were taken in the fluctuating treatments to hit the high, mid and low CO 2 points at “6:30”, “12:30” and “18:30”. Measurements of static treatment groups were taken at randomly selected times to get the reflection of the carbonate chemistry of these treatments, but for the purpose of clarity in this document they are listed as “Static”. Measurements were taken from a subset of tanks each that rotated each week (Column D). Our target pH NBS values (i.e. what was programmed into the APEX System) are listed in Column E. Columns F-H displayed pH NBS (taken with APEX probes), temperature °C (taken with a portable Mettler Toledo probe) and salinity (taken with a refractometer). Water samples were analyzed spectrophotometrically to provide pH T and dissolved inorganic carbon, with values provided in Columns I-J. Using the program CO2SYS, total alkalinity and p CO 2 were calculated, with values provided in Columns K-L. Dataset Ocean acidification Unknown Toledo ENVELOPE(-67.317,-67.317,-73.700,-73.700) |