This data set was one of the results of a guest lectureship by Prof. Dr. Behnam Kamkar from Ferdowsi University of Mashhad (Iran) hosted at University of Kassel, Witzenhausen (Germany) between 23 July 2025 and 16 January 2026.

Funding: BMFTR (Bundesministerium für Forschung, Technologie und Raumfahrt) BMEL (Bundesministerium für Ernährung und Landwirtschaft) in the frame of DAAD (German Academic Exchange Service)’s “Internationale Studien- und Ausbildungs-partnerschaften” program “FUM-UK: Fostering Agroecology”; Grant ID: 57668536

Manuscript submitted to WILEY’s journal Diversity and Distributions (14.04.2026):
Kamkar, B., Abdi, O., Wiehle, M. Predicting wild date palm habitats Using GeoAI Framework and Multi-Source Environmental Datasets

By reuse, please cite the above referred manuscript, as this contains important background information of the dataset incl. the source and the meaning of variables.

Datei: 2026_04_15_P. dactylifera_presence-absence_environmental data
      
      .cvs (;)
	
      NA = "."
	
      headers = TRUE
	
      CLASS
0 = absence (randomly chosen coordinates obtained through GIS)
1 = presence (cleaned occurrence data from GBIF (https://www.gbif.org), iNaturalist (www.inaturalist.org), and in-text scientific literature screening). Details are provided in the manuscript text.
	
      x, y = coordinates of absence and presence data
		x = Easting
		y = Northing

The source and meaning of the variables “bio 1” until “BulkDens_60_100cm” is detailed in Table 1 of the manuscript. Variables have been downloaded from freely available, OpenAccess, partly Citizen Science (GBIF, iNaturalist) databases between September and December 2025. All sources are either linked with URLs or cited.

“Texture 0” to “Texture 60” 
      SaClLo (Sandy Clay Loam)
      Lo (Loam)
      SaLo (Sandy Loam)

		
For more information on the data processing and interpretation, please request for the related manuscript.