Robinson, S.J.
        
        Chemical composition of Central Asian forage plants
         https://doi.org/10.5285/6a5a9a2a-730b-49f7-9e42-2295040aee56
        
       
            Cite this dataset as: 
            
           
          Robinson, S.J. (2017). Chemical composition of Central Asian forage plants. NERC Environmental Information Data Centre. https://doi.org/10.5285/6a5a9a2a-730b-49f7-9e42-2295040aee56
             
             
            
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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 made available under the terms of the Open Government Licence  
 
          The database of chemical composition of Central Asian forage plants contains just under 1000 desert and steppe species with information such as Latin and Russian names and family and related records of chemical composition from various sources including percentages by weight of protein, ash, cellulose and fat. Where available, it also includes data on digestible protein content, metabolisable energy and Soviet Feed Units (SFU). Records also include information on the country, location, season or month and phenological phase at time of collection of each sample. As one of the original uses of the database was for modelling food and energy intake by the saiga antelope, it also includes information identifying saiga food plant species along with sources of this information. Data on the edibility of many species for livestock in different seasons are also available. See the detailed documentation available here for more information on the data types, definitions and sources. 
 
NB The database is in text format and must be imported e.g. into relational database software, as Unicode (UTF-8) in order to convert the Cyrillic characters in Russian names.
         NB The database is in text format and must be imported e.g. into relational database software, as Unicode (UTF-8) in order to convert the Cyrillic characters in Russian names.
           Publication date: 2017-09-20
          
         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
         
        Provenance & quality
         The data come from a number of Soviet era sources listing thousands of records of plant chemical composition, and from an additional number of secondary or field sources compiled since 1991. All sources are listed in the database, which holds only a fraction of the total information available. 
See documentation for more details.
       See documentation for more details.
Licensing and constraints
 This dataset is made available under the terms of the Open Government Licence  
 
         Cite this dataset as: 
         
       Robinson, S.J. (2017). Chemical composition of Central Asian forage plants. NERC Environmental Information Data Centre. https://doi.org/10.5285/6a5a9a2a-730b-49f7-9e42-2295040aee56
          
          
         
        Related
This dataset is included in the following collections
Correspondence/contact details
          Robinson, S.
         
         
          Oxford University, visiting researcher
         
         
          La Cousteille
F-09400 Saurat,
FRANCE
         
  sarah.robinson09@gmail.com
        F-09400 Saurat,
FRANCE
Author
Other contacts
          Custodian
         
         
            NERC EDS Environmental Information Data Centre
           
  info@eidc.ac.uk
          
          Publisher
         
         
            NERC Environmental Information Data Centre
           
  info@eidc.ac.uk
           
      
 https://orcid.org/0000-0002-7365-8423
 https://orcid.org/0000-0002-7365-8423