[doc] update openjdata to neurojson

README.md

@@ -1263,8 +1263,8 @@ Starting in MCX v2023, JSON based JNIfTI (`.jnii`) files are used as the default
 volumetric data output format.
 
 The JNIfTI format represents the next-generation scientific data storage 
-and exchange standard and is part of the OpenJData initiative (http://openjdata.org)
-led by the MCX author Dr. Qianqian Fang. The OpenJData project aims at developing
+and exchange standard and is part of the US NIH-funded NeuroJSON initiative (https://neurojson.org)
+led by the MCX author Dr. Qianqian Fang. The NeuroJSON project aims at developing
 easy-to-parse, human-readable and easy-to-reuse data storage formats based on
 the ubiquitously supported JSON/binary JSON formats and portable JData data annotation
 keywords. In short, .jnii file is simply a JSON file with capability of storing 
@@ -1279,7 +1279,7 @@ A .jnii output file can be generated by using `-F jnii` in the command line.
 The .jnii file can be potentially read in nearly all programming languages 
 because it is 100% comaptible to the JSON format. However, to properly decode
 the ND array with built-in compression, one should call JData compatible
-libraries, which can be found at http://openjdata.org/wiki
+libraries, which can be found at https://neurojson.org/#software
 
 Specifically, to parse/save .jnii files in MATLAB, you should use
 - JSONLab for MATLAB (https://github.com/fangq/jsonlab) or install `octave-jsonlab` on Fedora/Debian/Ubuntu
@@ -1294,7 +1294,7 @@ is a NumPy `ndarray` object storing the volumetric data.
 
 #### bnii files
 
-The binary JNIfTI file is also part of the JNIfTI specification and the OpenJData
+The binary JNIfTI file is also part of the JNIfTI specification and the NeuroJSON
 project. In comparison to text-based JSON format, .bnii files can be much smaller
 and faster to parse. The .bnii format is also defined in the BJData specification
 
@@ -1306,7 +1306,7 @@ using `-F bnii` in the command line.
 The .bnii file can be potentially read in nearly all programming languages 
 because it was based on UBJSON (Universal Binary JSON). However, to properly decode
 the ND array with built-in compression, one should call JData compatible
-libraries, which can be found at http://openjdata.org/wiki
+libraries, which can be found at https://neurojson.org/#software
 
 Specifically, to parse/save .jnii files in MATLAB, you should use one of
 - JSONLab for MATLAB (https://github.com/fangq/jsonlab) or install `octave-jsonlab` on Fedora/Debian/Ubuntu

README.txt

@@ -1253,8 +1253,8 @@ Starting in MCX v2023, JSON based JNIfTI (.jnii) files are used as the default
 volumetric data output format.
 
 The JNIfTI format represents the next-generation scientific data storage 
-and exchange standard and is part of the OpenJData initiative (http://openjdata.org)
-led by the MCX author Dr. Qianqian Fang. The OpenJData project aims at developing
+and exchange standard and is part of the US NIH-funded NeuroJSON initiative (https://neurojson.org)
+led by the MCX author Dr. Qianqian Fang. The NeuroJSON project aims at developing
 easy-to-parse, human-readable and easy-to-reuse data storage formats based on
 the ubiquitously supported JSON/binary JSON formats and portable JData data annotation
 keywords. In short, .jnii file is simply a JSON file with capability of storing 
@@ -1269,7 +1269,7 @@ A .jnii output file can be generated by using `-F jnii` in the command line.
 The .jnii file can be potentially read in nearly all programming languages 
 because it is 100% comaptible to the JSON format. However, to properly decode
 the ND array with built-in compression, one should call JData compatible
-libraries, which can be found at http://openjdata.org/wiki
+libraries, which can be found at https://neurojson.org/#software
 
 Specifically, to parse/save .jnii files in MATLAB, you should use
 * JSONLab for MATLAB (https://github.com/fangq/jsonlab) or install `octave-jsonlab` on Fedora/Debian/Ubuntu
@@ -1284,7 +1284,7 @@ is a NumPy `ndarray` object storing the volumetric data.
 
 ==== bnii files ====
 
-The binary JNIfTI file is also part of the JNIfTI specification and the OpenJData
+The binary JNIfTI file is also part of the JNIfTI specification and the NeuroJSON
 project. In comparison to text-based JSON format, .bnii files can be much smaller
 and faster to parse. The .bnii format is also defined in the BJData specification
 
@@ -1296,7 +1296,7 @@ using `-F bnii` in the command line.
 The .bnii file can be potentially read in nearly all programming languages 
 because it was based on UBJSON (Universal Binary JSON). However, to properly decode
 the ND array with built-in compression, one should call JData compatible
-libraries, which can be found at http://openjdata.org/wiki
+libraries, which can be found at https://neurojson.org/#software
 
 Specifically, to parse/save .jnii files in MATLAB, you should use one of
 * JSONLab for MATLAB (https://github.com/fangq/jsonlab) or install `octave-jsonlab` on Fedora/Debian/Ubuntu