Blount, J.D.; Cant, M.A.; Meniri, M.; Thompson, F.J.; Marshall, H.H.
        
        Banded mongoose morphometrics, life history and weather data, Queen Elizabeth National Park, Uganda, 2017-2020
         https://doi.org/10.5285/ac7ead61-e90b-4295-baad-9ed146f2993e
        
       
            Cite this dataset as: 
            
           
          Blount, J.D.; Cant, M.A.; Meniri, M.; Thompson, F.J.; Marshall, H.H. (2023). Banded mongoose morphometrics, life history and weather data, Queen Elizabeth National Park, Uganda, 2017-2020. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/ac7ead61-e90b-4295-baad-9ed146f2993e
             
             
            
           Download/Access
PLEASE NOTE:
           
           
         By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.
 This dataset is available under the terms of the Open Government Licence  
 
          The dataset includes life history, biometric and weather data collected for banded mongooses at Queen Elizabeth National Park, Uganda, in the period 2017-2020. 
The data includes a list of experimental individuals, in addition to more general information collected in the field regarding the mongooses life history, body mass measured daily in the field, biometric data collected during trapping events and weather data.
         The data includes a list of experimental individuals, in addition to more general information collected in the field regarding the mongooses life history, body mass measured daily in the field, biometric data collected during trapping events and weather data.
           Publication date: 2023-01-18
          
         View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)
           
          Format
Comma-separated values (CSV)
Spatial information
          Study area
         
         
          Spatial representation type
         
         
          Tabular (text)
         
        
          Spatial reference system
         
         
          WGS 84
         
        Temporal information
          Temporal extent
         
         2017-01-01    to    2020-12-31
          
         Provenance & quality
         Eight groups are completely habituated to human observers and visited daily. Over 95% of the population is marked, and regularly captured for collection of biometric data and blood samples. Most individuals are trained to sit on a digital balance to record body mass.
        
       Licensing and constraints
 This dataset is available under the terms of the Open Government Licence  
 
         Cite this dataset as: 
         
       Blount, J.D.; Cant, M.A.; Meniri, M.; Thompson, F.J.; Marshall, H.H. (2023). Banded mongoose morphometrics, life history and weather data, Queen Elizabeth National Park, Uganda, 2017-2020. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/ac7ead61-e90b-4295-baad-9ed146f2993e
          
          
         
        Related
Correspondence/contact details
Authors
          Blount, J.D.
         
         
          University of Exeter
         
        
          Cant, M.A.
         
         
          University of Exeter
         
        
          Meniri, M.
         
         
          University of Exeter
         
        
          Thompson, F.J.
         
         
          University of Exeter
         
        
          Marshall, H.H.
         
         
          Roehampton University
         
        Other contacts
          Rights holders
         
         
           University of Exeter, University of Exeter
          
         
          Custodian
         
         
            NERC EDS Environmental Information Data Centre
           
  info@eidc.ac.uk
          
          Publisher
         
         
            NERC EDS Environmental Information Data Centre
           
  info@eidc.ac.uk
           
      