This codebook.txt file was generated on 20220323 by wilsonkm ------------------- GENERAL INFORMATION ------------------- 1. Title of Dataset An ensonified bubble curtain blocks 4 species of invasive carp in a laboratory flume but also deters other fish, while sound alone is less effective overall and does not target carp 2. Author Information Name: Jane Feely Institution: University of Minnesota Email: feely033@umn.edu Name: Peter Sorensen Institution: University of Minnesota Address: 135E Skok Hall, 2003 Upper Buford Circle, St. Paul, MN, 55108 Email: soren003@umn.edu 3. Date of data collection: 2018-06 to 2019-09 4. Geographic location of data collection (where was data collected?): University of Minnesota, St. Paul, Engineering and Fisheries Laboratory 5. Information about funding our Sponsorship: Minnesota Environmental and Natural Resources Trust Funds that supported the collection of the data: M.L. 2018, Chp. 214, Art. 4, Sec. 2, Subd. 06E -------------------------- SHARING/ACCESS INFORMATION -------------------------- 1. Licenses/restrictions placed on the data: Attribution 3.0 United States 2. Links to publications that cite or use the data:N/A 3. Links to other publicly accessible locations of the data:N/A 4. Links/relationships to ancillary data sets: N/A 5. Was data derived from another source? If yes, list source(s): Dennis, C.E., Zielinski, D. & Sorensen, P.W. A complex sound coupled with an air curtain blocks invasive carp passage without habituation in a laboratory flume. Biol Invasions 21, 2837–2855 (2019). https://doi.org/10.1007/s10530-019-02017-6 6. Recommended citation for the data: Feely, Jane; Sorensen, Peter. (2022). An ensonified bubble curtain blocks 4 species of invasive carp in a laboratory flume but also deters other fish, while sound alone is less effective overall and does not target carp. Retrieved from the Data Repository for the University of Minnesota, https://doi.org/10.13020/4mc0-vv65 --------------------- DATA & FILE OVERVIEW --------------------- 1. File List A. Filename: GLMM Output.docx Short description: Output of custom-built GLMM model B. Filename: Readme for Passage Rate Compilation zip.txt Short description: Readme for Passage Rate Compilation zip.txt C. Filename: Passage Rate Compilation Zip.zip Short description: Passage Rate Compilation Zip.zip. This .zip folder includes ten .xlsx files which contains passage rate data for ten species of fish: - Big head carp - Bluegill - Catfish - Common carp - Golden Shiners - Grass Carp - Lake Sturgeon - LMB - Rainbow Trout - Silver Carp D. Filename: Total Length and Total Weight (3).xlsx Short description: Total Length and Total Width of Tested Fish E. Filename: README GLMM data.txt Short description: README GLMM data.txt 2. Relationship between files: 3. Additional related data collected that was not included in the current data package: The total length and total width of bighead carp are not included in this data package, due to the passage rate data being repurposed from the Dennis et al. (2019) paper. 4. Are there multiple versions of the dataset? No If yes, list versions: Name of file that was updated: i. Why was the file updated? ii. When was the file updated? Name of file that was updated: i. Why was the file updated? ii. When was the file updated? -------------------------- METHODOLOGICAL INFORMATION -------------------------- 1. Description of methods used for collection/generation of data: Data in GLMM Output.docx were analyzed using a Generalized Linear Mixed Model. Custom-built matrices allowed us to compare log-linear test passage rates to log-linear control passage rates to determine the effects of aversive stimuli. Data in Passage Rate Compilation Zip.zip includes excel files which contain passage rate data for ten species of fish. Passage rate is recorded for each six-minute trial period of each experiment (control, sound, EBC). Data were analyzed using generalized linear mixed models and custom-built matrices written in R 2. Methods for processing the data: To determine whether each stimulus altered the passage rate of each species for each treatment, we used their GLMMs to compare their calculated their individual log-linear passage rates when that stimulus was being tested (N = 80 observations) with the log-linear passage rates calculated when it was not (i.e, no-treatment control, N=160 observations; P<0.05). When significance was noted (P<0.05) we determined which specific test-periods of the 8 explained the overall effect by comparing the log-linear test values calculated for each test-period with its matched control period (no treatment) values using contrasts built into the GLMM (p<0.05; Bonferroni-corrected for multiple comparisons; N=8). The total number of test periods showing changes (p<0.05) in passage rates was then tabulated. Habituation was then evaluated using these results. Finally, having determined effects of both stimuli on passage rates for each species, we next examined differences in how the different species were affected by each treatment. To accomplish this we calculated blockage efficiencies (species differences in absolute passage rates made direct comparisons meritless). Blockage efficiencies were calculated for each experiment by dividing its set of test (calculated log-linear) passage rates by its no-treatment (log-linear) passage rates to yield blockage efficiencies. 3. Environmental/experimental conditions: Darkness, shallow tank, 18 degrees Celsius ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: Passage Rate Compilation Zip.zip ----------------------------------------- The following variables are included in each .xlsx file compressed within the parent .zip folder. 1. Number of variables: 4 2. Number of cases/rows: 661 across all sheets 3. Variable List A. Name: group Description: Group # of Naive Tested Fish (1-10) B. Name: trialnumber Description: Six-minute period where fish movement is observed (1-11) C. Name: mode Description: State of flume during trial period. Variables: Precon = pre-control (no stimulus). Postconnull = control trial (no stimulus) after intial control period (control experiment). Postconsound = control trial (no stimulus) after intial control period (sound experiment) Sound = sound is playing in the flume (sound experiment). Postconsac = control trial (no stimulus) after intial control period (EBC experiment) soundac = sound and the EBC are on in the flume (EBC experiment). C. Passages Description: Number of times fish cross over the speaker system during a six-minute trial ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: Total Length and Total Weight (3).xlsx ----------------------------------------- The following variables are consistent across all 9 sheets included within the Excel file. 1. Number of variables: 3 2. Number of cases/rows: 301 across all sheets 3. Variable List A. Name: Mode Description: Trial Number 1-10 B. Name: Total Length Description: Total length C. Name: Total Width Description: Total width Note: Total length and total width of bighead carp are not included due to the passage rate data being repurposed from Dennis et al. (2019).