sci-geosciences/gshhg-gmt: New package

Signed-off-by: Andreas Sturmlechner <asturm@gentoo.org>

diff --git a/sci-geosciences/gshhg-gmt/Manifest b/sci-geosciences/gshhg-gmt/Manifest
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+DIST gshhg-gmt-2.3.7.tar.gz 57052180 BLAKE2B 5b618c874cca97da819263c3c436db1235d3293712a72c21ac4ca3ae78e95b5d36915312de3df361f978b14c697884ca278bebc41ac4c1d054adda6c417eb5b9 SHA512 27e97efe9d146a58d1c6674c5b6cde6b7545be60c1f7d3d93faca1034986d1648e73b589de571897fc53cd0d050a5875dcc9923e3f861f8473ca568a8142d727

diff --git a/sci-geosciences/gshhg-gmt/gshhg-gmt-2.3.7.ebuild b/sci-geosciences/gshhg-gmt/gshhg-gmt-2.3.7.ebuild
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+# Copyright 1999-2018 Gentoo Foundation
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=6
+
+DESCRIPTION="A Global Self-consistent, Hierarchical, High-resolution Geography Database"
+HOMEPAGE="https://www.soest.hawaii.edu/pwessel/gshhg/"
+SRC_URI="https://www.soest.hawaii.edu/pwessel/gshhg/${P}.tar.gz"
+
+LICENSE="LGPL-3+"
+SLOT="0"
+KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
+IUSE=""
+
+RDEPEND=""
+DEPEND="${RDEPEND}"
+
+src_install() {
+       dodoc README.TXT
+       insinto /usr/share/gshhg
+       doins *.nc
+}

diff --git a/sci-geosciences/gshhg-gmt/metadata.xml b/sci-geosciences/gshhg-gmt/metadata.xml
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+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
+<pkgmetadata>
+       <maintainer type="project">
+               <email>sci-geosciences@gentoo.org</email>
+               <name>Gentoo Geosciences Project</name>
+       </maintainer>
+       <longdescription lang="en">
+               GSHHS is a high-resolution shoreline data set amalgamated from two
+               databases in the public domain. The data have undergone extensive
+               processing and are free of internal inconsistencies such as erratic
+               points and crossing segments. The shorelines are constructed
+               entirely from hierarchically arranged closed polygons. The data can
+               be used to simplify data searches and data selections, or to study
+               the statistical characteristics of shorelines and land-masses.
+       </longdescription>
+</pkgmetadata>