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* WIP: Add recursive exporation of remote s3 layer
* WIP: finish first version of recursive exploration of remote s3 layer
* WIP: add gcs support
* WIP: add gcs support
* WIP: run explorers in parallel on same subdirectory
* Code clean up (mainly extracted methods)
* add local file system exploration
* do not include mutableReport in requests regarding the local file system
* add missing override of listDirectory of MockDataVault
* some cleanup
* add command to build backend parts like in CI to be ablte to detect errors before pushing
* clean up code
* format backend code
* update docs to mention recursive exploration
* add changelog entry
* apply some feedback
* apply some feedback; Mainly extract methods in ExploreRemoteLayerService.scala
* Only let explorers of simple dataset formats explore for additional layers in sibling folders
- And remove exploration of sibling folders to find additional layers
* apply pr feedback
* restore accidentally deleted changelog entry
- WEBKNOSSOS now automatically searches in subfolder / sub-collection identifiers for valid datasets in case a provided link to a remote dataset does not directly point to a dataset. [#7912](https://github.com/scalableminds/webknossos/pull/7912)
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- Added the option to move a bounding box via dragging while pressing ctrl / meta. [#7892](https://github.com/scalableminds/webknossos/pull/7892)
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- Added route `/import?url=<url_to_datasource>` to automatically import and view remote datasets. [#7844](https://github.com/scalableminds/webknossos/pull/7844)
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- The context menu that is opened upon right-clicking a segment in the dataview port now contains the segment's name. [#7920](https://github.com/scalableminds/webknossos/pull/7920)
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- The context menu that is opened upon right-clicking a segment in the dataview port now contains the segment's name. [#7920](https://github.com/scalableminds/webknossos/pull/7920)
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- Upgraded backend dependencies for improved performance and stability. [#7922](https://github.com/scalableminds/webknossos/pull/7922)
Copy file name to clipboardexpand all lines: docs/datasets.md
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@@ -47,7 +47,7 @@ In particular, the following file formats are supported for uploading (and conve
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Once the data is uploaded (and potentially converted), you can further configure a dataset's [Settings](#configuring-datasets) and double-check layer properties, fine tune access rights & permissions, or set default values for rendering.
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### Streaming from remote servers and the cloud
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WEBKNOSSOS supports loading and remotely streaming [Zarr](https://zarr.dev), [Neuroglancer precomputed format](https://github.com/google/neuroglancer/tree/master/src/neuroglancer/datasource/precomputed) and [N5](https://github.com/saalfeldlab/n5) datasets from a remote source, e.g. Cloud storage (S3) or HTTP server.
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WEBKNOSSOS supports loading and remotely streaming [Zarr](https://zarr.dev), [Neuroglancer precomputed format](https://github.com/google/neuroglancer/tree/master/src/neuroglancer/datasource/precomputed) and [N5](https://github.com/saalfeldlab/n5) datasets from a remote source, e.g. Cloud storage (S3 / GCS) or HTTP server.
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WEBKNOSSOS supports loading Zarr datasets according to the [OME NGFF v0.4 spec](https://ngff.openmicroscopy.org/latest/).
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WEBKNOSSOS can load several remote sources and assemble them into a WEBKNOSSOS dataset with several layers, e.g. one Zarr file/source for the `color` layer and one Zarr file/source for a `segmentation` layer.
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