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@@ -961,7 +961,7 @@ <h2><a id="gliderscope" name="gliderscope">Gliderccope</a></h2>
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etc. Additionally, users can also export their data to text or NetCDF
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files for easy access in other applications. Gliderscope is available
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on Windows and Macintosh platforms, as standalone executable software
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as well as an App for use within Matlab.
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as well as an App for use within MATLAB.
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</p>
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<p></p>
@@ -1978,8 +1978,8 @@ <h2><a id="ncvtk" name="ncvtk">ncvtk</a></h2>
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<p>
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<a href="http://ncvtk.sourceforge.net/" >Ncvtk</a> is a program for
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exploring planetary data stored in a NetCDF file.
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The NetCDF file should loosely follow the <a
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exploring planetary data stored in a netCDF file.
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The netCDF file should loosely follow the <a
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href="http://www.cgd.ucar.edu/cms/eaton/cf-metadata/" >CF metadata
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conventions</a>.
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</p>
@@ -2004,22 +2004,22 @@ <h2><a id="ncvtk" name="ncvtk">ncvtk</a></h2>
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<p></p>
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<h2><a id="netcdf_ninja" name="netcdf_ninja">netCDF Ninja</a></h2>
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<h2><a id="netcdf_ninja" name="netcdf_ninja">NetCDF Ninja</a></h2>
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<p>
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Dr L. Mun Woo of University of Western Australia <mun.woo@uwa.edu.au>
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has developed
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<a href="http://imos.org.au/facilities/oceangliders/glider-data/netcdfninja/">NetCDF Ninja</a>,
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a graphical user interface that allows users to browse all
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the metadata contained in NetCDF files, scrutinise the data using an
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the metadata contained in netCDF files, scrutinise the data using an
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interactive graphical plot and even make small alterations or export
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the data in text format without having any knowledge of coding. NetCDF
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Ninja is available on Windows and Macintosh platforms, as standalone
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executable software as well as an App for use within Matlab.
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executable software as well as an App for use within MATLAB.
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</p>
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<p></p>
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<h2><a id="netcdf_tools" name="netcdf_tools">Ivan Shmakov's netcdf tools</a></h2>
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<h2><a id="netcdf_tools" name="netcdf_tools">Ivan Shmakov's Netcdf tools</a></h2>
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<p>
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The NetCDF tools is a free software package consisting of a few
@@ -2031,7 +2031,7 @@ <h2><a id="netcdf_tools" name="netcdf_tools">Ivan Shmakov's netcdf tools</a></h2
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</p>
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<ul>
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<li>
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a couple of simple shell wrappers over the respective NetCDF
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a couple of simple shell wrappers over the respective netCDF
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functions (ncattget and ncattput);
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</li>
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<li>
@@ -2069,7 +2069,7 @@ <h2><a id="netcdf4excel" name="netcdf4excel">netcdf4excel (add-in for MS Excel)<
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has developed <a
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href="http://code.google.com/p/netcdf4excel/" >a netCDF add-in written in
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Visual Basic for MS Excel</a>. This add-in simplifies the use of
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NetCDF data in Excel, providing a ready to use solution for
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netCDF data in Excel, providing a ready to use solution for
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manipulating this type of data.
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</p>
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<p>
@@ -2093,7 +2093,7 @@ <h2><a id="netcdf95" name="netcdf95">NetCDF95 alternative Fortran API</a></h2>
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<p>
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Lionel Guez has developed and made feely available <a
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href="http://web.lmd.jussieu.fr/~lglmd/NetCDF95" >NetCDF95</a>, a new
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alternative Fortran interface to the NetCDF library. Compared to the
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alternative Fortran interface to the netCDF library. Compared to the
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Unidata-provided Fortran 90 netCDF interface, the NetCDF95 interface
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is meant to be easier to use and more secure.
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</p>
@@ -2175,10 +2175,10 @@ <h2><a id="Octave" name="Octave">Octave interface (Barth)</a></h2>
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Octcdf is a netCDF toolbox for <a
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href="http://www.octave.org/">Octave</a> which uses the same operator
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syntax as the <a
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href="http://mexcdf.sourceforge.net/netcdf_toolbox.html">matlab netCDF
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href="http://mexcdf.sourceforge.net/netcdf_toolbox.html">MATLAB netCDF
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toolbox</a> of Charles R. Denham. NetCDF dimensions, attributes and
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variables are Octave objects and can be accessed, sliced and changed
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just as regular variables. Unlike most netCDF toolboxes for matlab, it
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just as regular variables. Unlike most netCDF toolboxes for MATLAB, it
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does not depend on the NCMEX wrapper around the netCDF interface. This
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octave toolbox is written in C++ calling directly the netCDF library.
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The octcdf toolbox can also be used to download data from an OpenDAP
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provides tools for transforming existing applications into OPeNDAP
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clients, enabling them to remotely access OPeNDAP served data.
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OPeNDAP is based on existing data access tools; rather than developing
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a self contained system, it makes extensive use of existing data
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a self-contained system, it makes extensive use of existing data
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access APIs.
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</p>
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@@ -2472,7 +2472,7 @@ <h2><a id="PolyPaint+" name="PolyPaint+">PolyPaint+</a></h2>
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of data sets provide the user with a quick learning tool.
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</p>
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<p>
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Currently PolyPaint+ accepts only data which is in the NetCDF file format.
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Currently PolyPaint+ accepts only data which is in the netCDF file format.
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A file conversion utility which converts from raw binary data to netCDf is a
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part of the application.
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</p>
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</p>
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<p>
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SIS supports creating ISO 19115 metadata from metadata in a netCDF
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store from a given file, URL, stream, or NetcdfFile object. SIS
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store from a given file, URL, stream, or netcdfFile object. SIS
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netCDF storage is intended to be a bridge between NetCDF Climate and
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Forecast (CF) conventions and ISO 19115 metadata.
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</p>
@@ -2802,7 +2802,7 @@ <h2><a id="Tcl-nap" name="Tcl-nap">Tcl-nap</a></h2>
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processor) is a loadable extension of Tcl which provides a powerful and efficient
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facility for processing data in the form of n-dimensional arrays. It has been
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designed to provide an array-processing facility with much of the functionality
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of languages such as <a href="http://www.acm.org/sigapl/" >APL</a>, Fortran-90, <a href="#IDL" >IDL</a>, <a href="http://www.jsoftware.com/" >J</a>, <a href="http://www.mathworks.com" >matlab</a>, and <a href="http://www.octave.org/" >octave</a>.
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of languages such as <a href="http://www.acm.org/sigapl/" >APL</a>, Fortran-90, <a href="#IDL" >IDL</a>, <a href="http://www.jsoftware.com/" >J</a>, <a href="http://www.mathworks.com" >MATLAB</a>, and <a href="http://www.octave.org/" >octave</a>.
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</p>
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<p>
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Support is provided for data based on n-dimensional grids, where the dimensions
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ESRI Grid and Gridded NetCDF. These data export features
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promote the interoperability of weather and climate
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information with various scientific communities and common
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software packages such as ArcGIS, Google Earth, MatLAB,
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software packages such as ArcGIS, Google Earth, MATLAB,
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QGIS, R and many more. Advanced data export support for
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Google Earth enables the 2-D and 3D export of rendered data
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and isosurfaces.
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<p>
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In addition, this version contains a capability to geo-reference some data
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and to read ASCII data in tabular format. Also new is the ability to output
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data in numerical form (e.g. NetCDF) and a context sensitive, integrated help
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data in numerical form (e.g. netCDF) and a context sensitive, integrated help
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system.
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</p>
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<p>
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As with earlier versions, data in several different formats, including NetCDF,
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As with earlier versions, data in several different formats, including netCDF,
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can be read in easily from your local machine or from the Web. In addition,
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most data can be subset or subsampled on load, making it possible to visualize
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very large multidimensional and/or multispectral datasets. The package includes
@@ -3047,29 +3047,44 @@ <h1 id="commercial">Commercial or Licensed Packages</h1>
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<h2><a id="ArcGIS" name="ArcGIS">ArcGIS Pro - Space Time Pattern Mining Toolbox</a></h2>
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<p>
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The <a href="https://pro.arcgis.com/en/pro-app/tool-reference/space-time-pattern-mining/an-overview-of-the-space-time-pattern-mining-toolbox.htm">Space Time Pattern Mining toolbox</a> contains statistical tools for analyzing data distributions and patterns in the context of both space and time. It includes a toolset for visualizing the data stored in the space-time netCDF cube in both 2D and 3D.
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The <a href="https://pro.arcgis.com/en/pro-app/tool-reference/space-time-pattern-mining/an-overview-of-the-space-time-pattern-mining-toolbox.htm">Space Time Pattern Mining toolbox</a>
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contains statistical tools for analyzing data distributions and patterns in the context of both space and time. It includes a toolset for visualizing the data stored in the space-time netCDF cube in both 2D and 3D.
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Create Space Time Cube takes point datasets and builds a multidimensional cube data structure (netCDF) for analysis. Emerging Hot Spot Analysis then takes the cube as input and identifies statistically significant hot and cold spot trends over time. You might use the Emerging Hot Spot Analysis tool to analyze crime or disease outbreak data in order to locate new, intensifying, persistent, or sporadic hot spot patterns at different time-step intervals. The Local Outlier Analysis tool takes the cube as input to identify statistically significant clusters of high or low values as well as outliers that have values that are statistically different than their neighbors in space and time. The Utilities toolset enables you to visualize the data and analysis results stored in the space-time cube in two and three dimensions. These visualization tools can be used to understand the structure of the cube, how the cube aggregation process works, and to visualize the analytical results added to the cube by other Space Time Pattern Mining tools. See Visualizing the Space Time Cube for strategies to allow you to look at cube contents.
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Create Space Time Cube takes point datasets and builds a multidimensional cube data structure (netCDF) for analysis.
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Emerging Hot Spot Analysis then takes the cube as input and identifies statistically significant hot and cold spot
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trends over time. You might use the Emerging Hot Spot Analysis tool to analyze crime or disease outbreak data in
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order to locate new, intensifying, persistent, or sporadic hot spot patterns at different time-step intervals.
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</p>
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<p>
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The Local Outlier Analysis tool takes the cube as input to identify statistically significant clusters of high or
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low values as well as outliers that have values that are statistically different than their neighbors in space and time.
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</p>
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<p>
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The Utilities toolset enables you to visualize the data and analysis results stored in the space-time cube in two and
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three dimensions.These visualization tools can be used to understand the structure of the cube, how the cube aggregation
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process works, and to visualize the analytical results added to the cube by other Space Time Pattern Mining tools.
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See Visualizing the Space Time Cube for strategies to allow you to look at cube contents.
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</p>
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<p></p>
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<h2><a id="Agrimetsoft" name="Agrimetsoft">AgriMetSoft Netcdf-Extractor</a></h2>
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NetCDF Extractor is a windows software for view, convert, merge, and
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extract data from .nc and .nc4 files. It can extract several nc files,
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simultaneously. When a user wants to extract several files of nc format
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simultaneously, he/she requires to load them at a same time with together,
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loading the files one by one will be a time consuming and tedious process
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and prone to error. By this software the user can save his/her time, and
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quickly do the extract process. Also, it has a calculator tool. In this
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calculator by entering latitude and longitude of the desirable region, the
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user can view of the grid number of that region. In the latest version of
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NetCDF Extractor, Agrimetsoft has added two options: Sum” and “Average”.
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So, the user can easily calculate the average and sum values of the
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selected area (grids). Data is shown in an organized table, and you can
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choose to export everything to Excel. This tool is flexible to run for
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various datasets such as CMIP5 models, AgMERRA, Aphrodite, CRU, and etc.
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Agrimetsoft support all the users until they can extract the data.
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<p>
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NetCDF Extractor is a Windows software for viewing, converting, merging, and extracting
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data from .nc and .nc4 files. It can extract several nc files simultaneously. When a user
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wants to extract several files of nc format simultaneously, he/she requires to load them
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at a same time: loading the files one by one will be a time consuming and tedious process
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and prone to error. With this software the user can save time and quickly do the extract process.
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</p>
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<p>
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In addition, it has a calculator tool. By entering latitude and longitude of the desirable region
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into the calculator, the user can view the grid number of that region
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</p>
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<p>
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In the latest version of NetCDF Extractor, Agrimetsoft has added two options:”Sum” and “Average”.
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So, the user can easily calculate the average and sum values of the selected area (grids). Data is
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shown in an organized table, and you can choose to export everything to Excel. This tool is flexible
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to run for various datasets such as CMIP5 models, AgMERRA, Aphrodite, CRU, and etc.Agrimetsoft support
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all the users until they can extract the data.
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</p>
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<p></p>
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<h2><a id="SlicerDicer" name="SlicerDicer">Slicer Dicer</a></h2>
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<a href="http://www.slicerdicer.com/">Slicer Dicer</a> is a volumetric data visualization
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tool, currently available for Windows and under development for other platforms.
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The Slicer Dicer Web site includes a complete list of features, an on-line user&#39;s
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The Slicer Dicer website includes a complete list of features, an online user&#39;s
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guide, and examples of Slicer Dicer output. Visualizations features include:
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<ul>
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<li>
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visualization software package. Surfer's sophisticated
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interpolation engine transforms XYZ data into
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publication-quality maps. Surfer imports from and exports to
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a multitude of file formats, including NetCDF grids.
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a multitude of file formats, including netCDF grids.
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</p>
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<h2><a id="vGeo" name="vGeo">vGeo</a></h2>

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