data_sharing_Rodrigues_et_al_2023-RFBF.xlsx

* Dataset Title: Data for: "A meta-analytical review of turbidity effects on fish mobility" <br> * Persistent Identifier: 10.1007/s11160-023-09785-4 <br> * Dataset Contributors: <br> * Creators: Jean N. Rodrigues, Jean C. G. Ortega, Danielle K. Petsch, Andre A. Padial, Dieison A. Moi, Bruno R. S. Figueiredo <br> * Publisher: Reviews in Fish Biology and Fisheries. <br> * License: Use of these data is covered by the following license: * Title: CC0 1.0 Universal (CC0 1.0) * Specification: https://creativecommons.org/publicdomain/zero/1.0/; the authors respectfully request to be contacted by researchers interested in the re-use of these data so that the possibility of collaboration can be discussed. <br> Contact Information ------------------- <br> * Name: Bruno R. S. Figueiredo * Affiliations: Department of Ecology and Zoology, Federal University of Santa Catarina; Florianópolis, Brazil * ORCID ID: https://orcid.org/0000-0002-8750-808X * Email: [e-mail] * Alternate Email: [e-mail] * Address: e-mail preferred <br> Additional Dataset Metadata =========================== <br> <br> Literature review strategies ------------------- <br> * <em>Search strategy: </em>We performed a systematic search on databases (Web of ScienceTM Core Collection and ScopusTM) in April 2021 to identify appropriate literature following the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) model (Fig. 1; Moher et al. 2009). Literature searches were conducted using the following search strings: ("fish" OR "fishes" OR "teleost*") AND ("swim*" OR "movement*" OR "activit*" OR "locomoti*") AND ("turbid*" OR "transparen*" OR "suspended sediment*" OR "browni*"). The systematic search was performed in the ‘topic’ field on the Web of Science. In Scopus, the search was restricted to the document type ‘Article’ and to the subject area ‘Agricultural and Biological Sciences’ on ‘Title, Abstract and keywords’. - - - <br> Methodological Information ========================== <br> * Methods of data collection/generation: see manuscript for details <br> - - - <br> File Details =================== <br> * File size: The file " data_sharing_Rodrigues_et_al_2023-RFBF.xlsx" has 2333 KB. <br> * File contend: The " data_sharing_Rodrigues_et_al_2023-RFBF.xlsx" file has five sheet tabs, named: "Records screened"; "Full-texts assessed", "Database", "Moderators" and "Means for Meta-analysis". Details (variables, abbreviations, missing data codes, and units) for the Metadata presented in each tab are presented below. <br> <br> <br> Details for Metadata in tab "Records screened" --------------------------------------- <br> * Description: a comma-delimited file containing the data from 3,268 studies (after duplicates removal), from which the titles and abstracts were screened and evaluated if they was in or out of scope of the meta-analysis <br> * Dimensions: 3269 rows x 6 columns <br> * Variables: * database: inform the specific database in which the study (in each row) was found. * author: inform the authorship of each study (in each row). * title: inform the title of each study. * electronic-resource-num: inform the DOI of each study * abstract: specify the abstract of each study * decision: inform if the study was considered as "out of scope" of our meta-analysis or seemed to be "in of scope" (named as "ok"). <br> * Blank cells: data not used <br> Details for Metadata in tab "TBI_2007_2019" --------------------------------------- <br> * Description: a comma-delimited file containing the data from plant communities in the first biological sampling date (2007) and in the last biological sampling date (2019). <br> * Dimensions: 471 rows x 6 columns <br> * Variables: * Sampling sites: unique identification code for each one of 235 sampling sites, located in the Itaipu Reservoir arms. * Urochloa arrecta presence: occurrence of Urochloa arrecta in this specific sampling site (row); Present = Occurrence of U. arrecta; Absent = Absence of U. arrecta * Species_losses_native community: quantify the changes in temporal beta diversity of native plant communities driven by species loss (for details, see Legendre 2019; 10.1002/ece3.4984) * Species_gains_native community: quantify the changes in temporal beta diversity of native plant communities driven by species gains (for details, see Legendre 2019; 10.1002/ece3.4984) * Temporal change_precipitation: The temporal changes in precipitation were calculated for each sampling site over time by subtracting the earlier year values from the later year values. * Temporal change_temperature: The temporal changes in temperature were calculated for each sampling site over time by subtracting the earlier year values from the later year values. <br> * Blank cells: data not used <br> Details for Metadata in tab "TBI" --------------------------------------- <br> * Description: a comma-delimited file containing the data from 235 plant communities, from which temporal beta diversity index (TBI, Legendre 2019; 10.1002/ece3.4984) of native communities for each of the 235 sites <br> * Dimensions: 237 rows x 3 columns <br> * Variables: * Sampling sites: unique identification code for each one of 235 sampling sites, located in the Itaipu Reservoir arms. * TBIValues_JaccardIndex: temporal beta diversity index, using the Jaccard dissimilarity index, (TBI, Legendre 2019; 10.1002/ece3.4984) of native communities for each of the 235 sites * P-values: P‐value outcome from the 999 random permutation of presence/absence matrix of the native community for the TBIs of native communities between 2007 and 2019 for each of the 235 sites. <br> * Blank cells: data not used <br> For more data analysis detailment, please read the full version of the manuscript Bando et al.