SeisBench v0.11 is the largest SeisBench release so far, adding major new features, substantial performance improvements, new datasets and a new model. Major updates SeisBench now offers support for DAS benchmark datasets and DAS models. While no dataset or DAS-specific models are integrated yet (stay tuned!), a new wrapper allows applying models trained on classical 3C data to DAS in an efficient fashion. The DAS capabilities of SeisBench are built on the Xdas Library. For details, see #382, #383, #393 The annotate/classify backend has gotten a major overhaul, making it faster, reducing the memory footprint and improving maintainability. Central bottleneck functions are now implemented directly in C for optimal performance. For details, see #387, #390, #386, #395 Two new datasets are part of SeisBench now. One for induced seismicity (#374) and one for swarms in Bohemia (#367). Both extend SeisBench towards smaller magnitudes and more near-field events. The EQTP model was added, allowing to jointly pick phases and P polarities. For details, see #376 The documentation has been restructured to account for the growth in functionality SeisBench has experienced since v0.1. The new version should be more structured and easier to navigate. In addition, this release adds many smaller feature additions, performance improvements, updates to newer dependency versions, etc. Thanks to everyone how contributed to this release with feedback, issues, and especially with PRs! What's Changed DOC: Fix a few typos in documentation page "The SeisBench data format" by @yvonnefroehlich in https://github.com/seisbench/seisbench/pull/371 [bugfix] Labelling for denoised channels was not set by @JanisHe in https://github.com/seisbench/seisbench/pull/372 Induced dataset and PhaseNet model for induced seismicity by @JanisHe in https://github.com/seisbench/seisbench/pull/374 Update Python requirements to >=3.10 and add support for Python 3.14 by @yetinam in https://github.com/seisbench/seisbench/pull/375 Add compile_from_source option to dataset loading logic by @yetinam in https://github.com/seisbench/seisbench/pull/382 Introduce AbstractBenchmarkDataset class by @yetinam in https://github.com/seisbench/seisbench/pull/383 Add EQTP model by @Pengling2022 in https://github.com/seisbench/seisbench/pull/380 Dataset: Adding pyrocko inspection methods by @miili in https://github.com/seisbench/seisbench/pull/376 Dataset: Bohemia by @miili in https://github.com/seisbench/seisbench/pull/367 CI: Remove dependency on remote repository for example dataset by @yetinam in https://github.com/seisbench/seisbench/pull/388 Refactor Annotation Pipelines by @miili in https://github.com/seisbench/seisbench/pull/387 CI: Properly isolate and initialize SeisBench cache by @yetinam in https://github.com/seisbench/seisbench/pull/389 Replace pkg_resources with importlib.metadata by @yetinam in https://github.com/seisbench/seisbench/pull/391 Performance: Add lightweight Stream.slice functionality by @miili in https://github.com/seisbench/seisbench/pull/390 stacking: improving performance of arranging blocks by @miili in https://github.com/seisbench/seisbench/pull/386 Integration of initial DAS functionality by @yetinam in https://github.com/seisbench/seisbench/pull/393 DRAFT: Change publishing workflow to use cibuildwheel by @yetinam in https://github.com/seisbench/seisbench/pull/394 Add Intel GPUs (XPU) to automatic device selection by @yetinam in https://github.com/seisbench/seisbench/pull/395 Fixed incompatibilities with pandas 3.0 by @yetinam in https://github.com/seisbench/seisbench/pull/397 Add parameter to control resampling filter (Closes #384) by @yetinam in https://github.com/seisbench/seisbench/pull/398 Housekeeping v0.11 by @yetinam in https://github.com/seisbench/seisbench/pull/399 New Contributors @Pengling2022 made their first contribution in https://github.com/seisbench/seisbench/pull/380 Full Changelog: https://github.com/seisbench/seisbench/compare/v0.10.0...v0.11.0