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The group at BioSimulations.org has been doing some very interesting work using HSDS on Kubernetes to store biomodelling data and visualizing the results using Vega as described in the paper below. Biosimulations chose to use HSDS due to its support for very large data sets,  REST API (for use with web applications), and its ability to run on Google Cloud as well as on-premise installations. ...

We are excited to announce a new strategy of delivering HDF5 features: Experimental Releases. Experimental releases allow us to get major new features into the hands of our users so that they can test the features and provide feedback before we integrate them into a subsequent maintenance release. Our first experimental release, HDF5 version 1.13.0, is now available....

The agenda for the 2021 HDF5 User Group meeting has been posted. This event, scheduled with US time zones in mind, runs each day October 12-14 from about 9:00 a.m. central to 1:30 p.m. central time and features a variety of speakers on topics including the HDF5 ecosystem, apps, and features. This is event is free and online only; registration is required. We look forward to having you join us!...

HSDS (Highly Scalable Data Service) is a REST based service for HDF data, part of HDF Cloud, our set of solutions for cloud deployments. In the recent blog about the latest release of HSDS we discussed many of the new features in the 0.6 release including support for Azure....

We are very pleased to announce the release of HDF5 1.12.1, which can now be obtained from the HDF5 Download page. Information about this release can be found on the Support Portal as follows: HDF5 documentation Software Changes from Release to Release HDF5 1.12.1 is a minor release with a few new features and changes: The new Mirror and Splitter VFDs were added, enabling "concurrent" file writes to two files, one of which could be on a remote system. The following vulnerability issues were addressed:CVE-2018-11206CVE-2018-14033 (same as CVE-2020-10811)CVE-2018-14460 Autotools and CMake options were added to enable or disable file locking. C functions and C++, Fortran and Java wrappers were also added for setting and getting the file locking parameters. In addition, file locking now works on Windows. Various...

Suren Byna, Elena Pourmal, Lori Cooper  Overview HDF5 has been a widely used tool to simplify management and access to scientific and engineering data with ubiquitous data solutions. With rapidly growing data across all domains of science and industry, HDF5 developers have been building technologies that provide rapid, easy, and permanent access to complex data. The HDF Group, a non-profit organization, has been the driving force behind developing and maintaining the HDF5 software library for more than two decades.  HDF5 has been extremely successful with a wide range of users and an ecosystem built around the HDF5 library. With the goal of facilitating a broader discussion among HDF5 users, The HDF Group and Lawrence Berkeley National Laboratory (LBNL) teamed up to host a...

The HDF Group’s Gerd Heber hosts a weekly session where he tries to answer attendee questions and, for example, go over the previous week’s HDF Forum posts. The HDF Clinics are free sessions intended to help users tackle real-world HDF problems from a common cold to severe headaches and offer relief where that’s possible. As time permits, we will include how-tos, offer advice on tool usage, review your code samples, teach you survival in the documentation jungle, and discuss what’s new or just around the corner in the land of HDF. Please submit questions/topics in this google doc. One-time registration required. Thanks to all who attended our first HDF Clinic on February 9, 2021. The resources from this clinic are archived here. Gerd's Notes https://youtu.be/g5h_YlvI9Aw  ...