start to replace term resolution

docs/data_formats.md

@@ -41,8 +41,8 @@ A WEBKNOSSOS dataset can contain several `color` and `segmentation` layers which
 
 ### Magnification Steps and Downsampling
 
-To enable zooming within huge datasets in WEBKNOSSOS, dataset layers usually contain multiple magnification steps (also called mipmaps or image pyramids or resolutions).
-`1` is the magnification step with the finest resolution, i.e. the original data.
+To enable zooming within huge datasets in WEBKNOSSOS, dataset layers usually contain multiple magnification steps (also called mags, mipmaps, image pyramids or resolutions).
+`1` is the magnification step with the finest magnification, i.e. the original data.
 `2` is downsampled by a factor of two in all dimensions and therefore only is an eighth of the file size of the original data.
 Downsampling is done in power-of-two steps: `1, 2, 4, 8, 16, 32, 64, …`
 

docs/neuroglancer_precomputed.md

@@ -28,7 +28,7 @@ WEBKNOSSOS expects the following file structure for Neuroglancer Precomputed dat
 ```
 my_dataset.precomputed             # One root folder per dataset
 ├─ info                            # Dataset [metadata in JSON format](https://github.com/google/neuroglancer/blob/master/src/neuroglancer/datasource/precomputed/volume.md#info-json-file-specification)
-├─ scale_1                         # One subdirectory with the same name as each scale/magnification "key" value specified in the info file. Each subdirectory contains a chunked representation of the data for a single resolution.
+├─ scale_1                         # One subdirectory with the same name as each scale/magnification "key" value specified in the info file. Each subdirectory contains a chunked representation of the data for a single mag.
 │  ├─ <chunks>
 │  └─ ...
 ├─ ...