| Literature DB >> 31406902 |
Camilo Hurtado-Parrado1,2, César Acevedo-Triana3, Joseph Pear4.
Abstract
This paper describes the behavioral data of an experiment in which water flows (WFs) were first used as replacement of the traditional electric shocks to test free-operant avoidance in Betta splendens (Hurtado-Parrado et al. 2019 https://doi.org/10.1016/j.beproc.2018.10.021). WFs with a duration of 10 s each were delivered with 30-s flow-flow (F-F) and response-flow (R-F) intervals in a custom-made shuttle tank. Fish escaped or avoided the WFs by changing compartments. Crossings during the WFs, interrupted the flows, were automatically scored as escape (Esc), and initiated a new R-F interval. Crossings that occurred during R-F or F-F intervals were scored as avoidance responses and also reset the R-F interval. We compared the effect of adding a warning stimulus - curtains of air bubbles - to the last 5 s of the R-F interval; i.e., signaled versus unsignaled avoidance. A unique development of the WFs procedure, and thus the data here described, is that crossings were further differentiated into subcategories; namely, early avoidance (EA) if a crossing occurred during the first 25 s of the R-F interval; late avoidance (LA) if a crossing occurred during the last 5 s of the R-F interval; and Flow-Flow avoidance (FF) if a crossing occurred anytime during the F-F interval. Here we present the data of six bettas across the different phases of the experiment; namely, baseline (BL - no WFs programmed), signaled avoidance (SA - warning stimulus scheduled), and unsignaled avoidance (UA - no warning stimulus scheduled). The dataset available at the Open Science Framework (OSF) repository (http://doi.org/10.17605/OSF.IO/FMHXD (Hurtado-Parrado et al., 2019)) includes for each fish and per 20-min daily session the total number of crossings; frequency of each type of crossing (Esc, EA, LA, FF); total WF frequency and duration, the total time spent in each compartment, and an index of preference for each compartment based on the proportion of time spent in the tank's compartments.Entities:
Keywords: Avoidance; Betta splendens; Escape; Negative reinforcement; Siamese fighting fish; Water disturbances; Water flows
Year: 2019 PMID: 31406902 PMCID: PMC6685671 DOI: 10.1016/j.dib.2019.104260
Source DB: PubMed Journal: Data Brief ISSN: 2352-3409
Fig. 1Overhead view (a) and side view (b) of the custom-made experimental shuttle tank, which was divided into 3 different compartments. Water pumps located in compartment 1 introduced WFs to the compartments 2 and 3. Compartment 1 was inaccessible to the fish. The fish could swim freely between compartments 2 and 3 through an opening that connected them. During signaled avoidance conditions, curtains of air bubbles (CABs) were introduced as warning stimulus using air stones attached to the back walls of compartments 2 and 3 (i.e., warning stimulus). A light box evenly illuminated the inside of the tank.
Sequence of conditions for each subject and number of sessions per condition (between brackets).
| Fish | Conditions | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| C01 | BL-1 (15) | UA-1 (22) | BL-2 (6) | UA-2 (6) | BL-3 (8) | SA-1 (13) | BL-4 (5) | SA-2 (5) | ||
| C02 | BL-1 (11) | UA-1* (16) | BL-2 (7) | UA-2 (14) | BL-3 (5) | UA-3 (5) | BL-4 (9) | SA-1 (6) | BL-5 (3) | |
| C03 | BL-1 (11) | UA-1* (17) | BL-2 (7) | UA-2 (9) | BL-3 (5) | UA-3 (7) | BL-4 (5) | SA-1 (8) | BL-5 (6) | SA-2 (12) |
| C04 | BL-1 (12) | SA-1* (16) | BL-2 (14) | SA-2 (10) | BL-3 (5) | SA-3 (8) | BL-4 (5) | UA-1 (11) | ||
| C05 | BL-1 (12) | SA-1* (16) | BL-2 (6) | SA-2 (9) | BL-3 (9) | SA-3 (6) | BL-4 (5) | UA-1 (9) | BL-5 (5) | UA-2 (12) |
| C06 | BL-1 (15) | SA-1 (23) | BL-2 (5) | SA-2 (6) | BL-3 (8) | SA-3 (6) | BL-4 (5) | UA-1 (9) | BL-5 (5) | UA-2 (7) |
Note. BL = Baseline; UA = Unsignaled Avoidance; SA = Signaled Avoidance; * = condition with two functional water pumps per compartment.
Specifications table
| Subject area | |
| More specific subject area | |
| Type of data | |
| How data was acquired | A custom-made video tracking system |
| Data format | Raw data in a spreadsheet (Table) |
| Experimental factors | Baseline (no water flows or warning stimulus), signaled avoidance (water flows every 10 s, curtains of air bubbles during the last 5 s of the response-flow interval – i.e., warning stimulus), and unsignaled (water flows every 10 s, no warning stimulus) conditions. |
| Experimental features | We developed an experimental set up for testing free-operant avoidance |
| Data source location | Winnipeg, Manitoba, Canada. |
| Data accessibility | Open Science Framework repository (OSF): |
| Related research article | Hurtado-Parrado, C., Acevedo-Triana, C. & Pear, J. (2019). Aversive control of |
We present data of the first implementation of a protocol that replaced electric shocks with water flows (WFs) to test escape and free-operant avoidance phenomena in A unique aspect of these data, is that the aversive stimulus (WFs) in the protocol had a nonzero duration – i.e., WFs lasted 10 s unless an escape response interrupted them. This aspect allowed to simultaneously (a) gather data on both escape and avoidance behavior, (b) measure the amount of time that the fish was exposed to the aversive stimuli, and (c) test how these measures were affected by presence or absence of the warning stimulus (signaled versus unsignaled conditions). Adding to the value of these data is the fact that the behavior of interest - crossings between compartments in a shuttle tank - was measured on the basis of different subcategories; namely, early avoidance (EA) if a crossing was displayed during the initial 25 s of the R–F interval; late avoidance (LA) if a crossing occurred during the last 5 s of the R–F interval; and Flow-Flow avoidance (FF) if a crossing occurred anytime during the F–F interval. The dataset includes an innovative measurement of the subject's preference for the compartments of the shuttle tank based on the ratio of time allocated to each compartment (i.e., preference index). These data could be used for further insights into the relationship between the frequency of specific behaviors regulated by aversive events (escape and avoidance) and related spatiotemporal patterns, which to date have received considerably less attention |