Introduction.md

@@ -18,14 +18,8 @@ Historically archives of marine data have been maintained by individual nations,
 
 There is already a protocol and other tools written in Python to read and perform some quality control on the data and to identify duplicate observations as described in [Freeman. *et al.,* (2017)](https://doi.org/10.1002/joc.4775). However the data processing in this repository offers additional quality control on the data, duplicate identification and linking of IDs between each pair of duplicate reports. Additionally provides an identification of the best duplicate by assessing the track (path in lat/lon) of the observation. 
 
- Workflow
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-Add diagram
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 References
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 [Freeman. *et al.,* (2017)](https://doi.org/10.1002/joc.4775) 
-Freeman, E., Woodruff, S.D., Worley, S.J., Lubker, S.J., Kent, E.C., Angel, W.E., Berry, D.I., Brohan, P., Eastman, R., Gates, L., Gloeden, W., Ji, Z., Lawrimore, J., Rayner, N.A., Rosenhagen, G. and Smith, S.R. (2017), ICOADS Release 3.0: a major update to the historical marine climate record. Int. J. Climatol., 37: 2211-2232. https://doi:10.1002/joc.4775
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+Freeman, E., Woodruff, S.D., Worley, S.J., Lubker, S.J., Kent, E.C., Angel, W.E., Berry, D.I., Brohan, P., Eastman, R., Gates, L., Gloeden, W., Ji, Z., Lawrimore, J., Rayner, N.A., Rosenhagen, G. and Smith, S.R. (2017), ICOADS Release 3.0: a major update to the historical marine climate record. Int. J. Climatol., 37: 2211-2232. doi:10.1002/joc.4775
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