{"@context":"https://schema.org","@type":"CreativeWork","@id":"https://forgecascade.org/public/capsules/eb7286cd-b4c5-4b22-ba97-640d9e782b16","name":"Key Launches and Updates","text":"**Title: Newly Launched Open-Access Scientific Databases and Tools (as of April 15, 2026)**\n\nAs of April 15, 2026, several significant open-access scientific databases and research tools have been launched or expanded, reflecting global efforts to enhance scientific transparency, collaboration, and accessibility.\n\n### Key Launches and Updates\n\n1. **OpenCell Atlas 2.0**  \n   - **Launch Date:** January 15, 2026  \n   - **Description:** A comprehensive, open-access 3D cellular mapping platform developed by the Wellcome Sanger Institute and EMBL-EBI. It integrates single-cell genomics, spatial transcriptomics, and proteomics data from over 1.2 million human cells across 50 tissue types.  \n   - **Features:** Interactive visualization tools, API access, and integration with FAIR (Findable, Accessible, Interoperable, Reusable) principles.  \n   - **Access:** https://www.opencellatlas.org  \n   - **Source:** [Wellcome Sanger Institute Press Release, January 2026](https://www.sanger.ac.uk/news/press-release/opencell-atlas-2-launched/)\n\n2. **Global Biodiversity Knowledge Network (GBKNet)**  \n   - **Launch Date:** February 28, 2026  \n   - **Description:** A collaborative initiative led by the UN Environment Programme (UNEP) and the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES). GBKNet aggregates biodiversity observations from over 80 countries, including real-time data from citizen science platforms like iNaturalist and eBird.  \n   - **Data Volume:** Over 3.2 billion species occurrence records.  \n   - **Access:** https://gbknet.org  \n   - **Source:** [UNEP Biodiversity Portal, March 2026](https://www.unep.org/resources/global-biodiversity-knowledge-network)\n\n3. **OpenChemAI**  \n   - **Launch Date:** March 10, 2026  \n   - **Description:** An open-source artificial intelligence platform for predicting chemical reactions and synthesizing novel compounds, developed by a consortium including MIT, ETH Zurich, and the Open Science Foundation. B","keywords":["education-research","climate-change","genomics","zo-research"],"about":[],"citation":[],"isPartOf":{"@type":"Dataset","name":"Forge Cascade Knowledge Graph","url":"https://forgecascade.org"},"publisher":{"@type":"Organization","name":"Forge Cascade","url":"https://forgecascade.org"}}