linking some papers

README.md

@@ -54,12 +54,7 @@ https://chaosmagpy.readthedocs.io/en/master/
 A description of the dataset:
 
 The gufm1 model is a global geomagnetic model based on spherical harmonics, covering the period 1590 - 1990, and is described in the publication:
-Andrew Jackson, Art R. T. Jonkers and Matthew R. Walker (2000), “Four centuries of geomagnetic secular variation from historical records”, Phil. Trans. R. Soc. A.358957–990, http://doi.org/10.1098/rsta.2000.0569
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-The native model representation is converted into a discrete dataset in physical space and time, using the Python package https://chaosmagpy.readthedocs.io/en/master/
-
-The dataset has dimension (181, 361, 401) whose axes represent co-latitude, longitude, time, and whose values are the radial magnetic field at the core-mantle boundary (radius 3485km) in nT.
-The colatitude takes values (in degrees):  0,1,2,3,…180;  longitude (degrees) takes values -180,-179,….180; and time is yearly 1590, 1591, …1990.
+[Andrew Jackson, Art R. T. Jonkers and Matthew R. Walker (2000), “Four centuries of geomagnetic secular variation from historical records”, Phil. Trans. R. Soc. A.358957–990, http://doi.org/10.1098/rsta.2000.0569](https://royalsocietypublishing.org/doi/10.1098/rsta.2000.0569)
 
 
 ### Supported Tasks and Leaderboards
@@ -68,8 +63,14 @@ The colatitude takes values (in degrees):  0,1,2,3,…180;  longitude (degrees)
 
 ### Data Fields
 
+The dataset has dimension (181, 361, 401) whose axes represent co-latitude, longitude, time, and whose values are the radial magnetic field at the core-mantle boundary (radius 3485km) in nT.
+The colatitude takes values (in degrees):  0,1,2,3,…180;  longitude (degrees) takes values -180,-179,….180; and time is yearly 1590, 1591, …1990.
+
+
 ## Dataset Creation
 
+The native model representation is converted into a discrete dataset in physical space and time, using the Python package [Chaosmagpy](https://chaosmagpy.readthedocs.io/en/master/)
+
 ### Source Data
 
 ## Additional Information