doc updates

.gitignore

@@ -1,2 +1,4 @@
 docs/_build
 build
+devel
+.DS_Store

README.md

@@ -20,7 +20,7 @@ This repository contains model settings and documentation ([readthedocs](http://
 
 [Estimating the Circulation and Climate of the Ocean][] version 4 release 2 is an ocean state estimate and solution of the [MIT general circulation model][] that covers the period from 1992 to 2011 (Forget et al., 2016). It is a minor update of the original ECCO version 4 solution (Forget et al., 2015) that benefits from a few additional corrections listed in Forget et al. (2016) and is easier to analyze and re-run. Its input and output are available for direct download from [Dataverse][]. 
 
-Other ECCOv4 solutions: see `Other known solutions` in the [documentation](https://eccov4.readthedocs.io)
+Other ECCOv4 solutions? See `Other known solutions` in the [docs](https://eccov4.readthedocs.io).
 
 **References:**
 

docs/eccov4r2_output.rst

@@ -1,11 +1,4 @@
 
-The `ECCO v4 r2` state estimate output is permanently archived within the `Harvard Dataverse <https://dataverse.harvard.edu/dataverse/ECCOv4r2>`__ that provides citable identifiers for the various datasets as reported in this `README.pdf <https://dataverse.harvard.edu/api/access/datafile/2863409>`__. For direct download purposes, the `ECCO v4 r2` output is also made available via this `ftp server <ftp://mit.ecco-group.org/ecco_for_las/version_4/release2/>`__ by the `ECCO Consortium <http://ecco-group.org>`__. The various directory contents are summarized in this `README <http://mit.ecco-group.org/opendap/ecco_for_las/version_4/release2/README>`__ and specific details are provided in each subdirectory’s README. Under Linux or macOS for instance, a simple download method consists in using ``wget`` at the command line by typing
-
-::
-
-    wget --recursive ftp://mit.ecco-group.org/ecco_for_las/version_4/release2/nctiles_grid
-    wget --recursive ftp://mit.ecco-group.org/ecco_for_las/version_4/release2/nctiles_climatology
-    wget --recursive ftp://mit.ecco-group.org/ecco_for_las/version_4/release2/nctiles_monthly
-
-and similarly for the other directories. The ``nctiles_`` directory prefix indicates that contents are provided on the native LLC90 grid in the nctiles format :cite:`for-eta:15` which can be read in `Matlab` using the `gcmfaces` toolbox (see :numref:`download-analysis`). Alternatively users can download interpolated fields, on a :math:`1/2\times1/2^\circ` grid in the netcdf format, from the ``interp_*`` directories. The ``input_*`` directories contain binary and netcdf input files that can be read by `MITgcm` (:numref:`eccov4-baseline`). The ``profiles/`` directory additionally contains the MITprof, netcdf collections of collocated in situ and state estimate profiles :cite:`for-eta:15`.
+The `ECCO v4 r2` state estimate output is permanently archived within the `Harvard Dataverse <https://dataverse.harvard.edu/dataverse/ECCOv4r2>`__ that provides citable identifiers for the various datasets as reported in this `README.pdf <https://dataverse.harvard.edu/api/access/datafile/2863409>`__. For direct download purposes, see [Dataverse.jl](https://github.com/gdcc/Dataverse.jl#readme).
 
+Note : the ``nctiles_`` directory prefix indicates that contents are provided on the native LLC90 grid in the nctiles format :cite:`for-eta:15` which can be read in `Matlab` using the `gcmfaces` toolbox (see :numref:`download-analysis`). Alternatively users can download interpolated fields, on a :math:`1/2\times1/2^\circ` grid in the netcdf format, from the ``interp_*`` directories. The ``input_*`` directories contain binary and netcdf input files that can be read by `MITgcm` (:numref:`eccov4-baseline`). The ``profiles/`` directory additionally contains the MITprof, netcdf collections of collocated in situ and state estimate profiles :cite:`for-eta:15`.