Skip to main content
zenodoopen

Supplementary material for "Analyzing potential niche shifts in alien pairs of mantis species (Insecta, Mantodea), with comments on the current taxonomic and ecological knowledge"

<p>###Supplementary data for "Analyzing potential niche shifts in alien pairs of mantis species (Insecta, Mantodea), with comments on the current taxonomic and ecological knowledge"</p><p>angui_intra: intra-species analyses for <i>Tenodera angustipennis</i>, with both complete and trimmed dataset.</p><p>contrhierodula: intra-species analyses for the <i>Hierodula</i> species with controversial status (<i>H. transcaucasica</i>/<i>H. tenuidentata</i>). It includes analyses between <i>H. transcaucasica</i> and <i>H. tenuidentata sensu stricto</i> and the populations treated as separated species.</p><p>hierodula_europe: inter-species analysis with the two <i>Hierodula</i> present in Europe.</p><p>kendall: scripts and table used for calculating Kendall's rank correlation.</p><p>pate_intra: intra-species analyses for <i>Hierodula patellifera</i>, with both complete and trimmed (no India, Nepal and Philippines points) datasets. There is also the analyses between Asian distribution and India, Nepal and Philippines points</p><p>sinensis_intra: intra-species analyses for <i>Tenodera sinesis</i>, with both complete and trimmed datasets.</p><p>tenodera_europe: inter-species analysis with the two <i>Tenodera</i> present in North America, with both complete and trimmed datasets.</p><p>####NOTE</p><p>I did not include the raw presence points (the elaborated ones are together with the values in a csv file per each folder) and the wordlclim variables. For the latter, you can get them from the WorldClim website. If you want the raw presence points, I will give them on request</p><p>WARNING: AN ITALIAN LOCALE HAS BEEN USED FOR THIS ANALYSES; IF YOU HAVE ANY FORMAT ISSUE WITH THE CSV, CONSIDER USING THIS FOR IMPORTING INTO R:<br><br>read_csv("namefile.csv", locale = locale(decimal_mark = ",", grouping_mark = "."))</p><p>&nbsp;</p><p>IF THAT DOES NOT WORK, PLEASE CONTACT ME</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

Topics