ezEML was created by the Environmental Data Initiative (EDI). It employs EDI's Metapype library, which is a general-purpose framework for creating and validating metadata, along with Metapype’s implementation of validation rules for the EML 2.2.0 standard.
The EML Congruence Checker (ECC) and the ezEML Check Data Tables provide critical validation services to verify the accuracy and consistency of data packages before publication in the EDI Data...
It performs XML schema validation and checks that references resolve to existing IDs. EMLassemblyline The EMLassemblyline R package provides tools for programmatically creating and packaging Ecological Metadata Language (EML) metadata.
The EML Congruence Checker (ECC) and the ezEML Check Data Tables provide critical validation services to verify the accuracy and consistency of data packages before publication in the EDI Data Repository.
While any text editor can be used to edit an EML file, XML-specific software have added capabilities to streamline the editing process and support schema validation.
The EML Congruence Checker (ECC) and the ezEML Check Data Tables provide critical validation services to verify the accuracy and consistency of data packages before publication in the EDI Data Repository.
The final set of training samples contained 3,900 images (512 x 512 m cell chip size), of which 90% were used for training and 10% were set aside for validation.
EMLvp is a Python 3 library and command line application that validates and parses Ecological Metadata Language XML documents for compliance with the EML metadata standard, including XML schema validation and ensuring that references resolve to existing ids.
Cleaning Data and Quality Control Cleaning data and Quality Control (QC) is a large and sometimes subjective topic. However, there are some general guidelines for ...
