There are 1 repository under scientific-data topic.
A GPU accelerated error-bounded lossy compression for scientific data.
One downloader for many scientific data and code repositories! DOI :open_hands: Data
Python interface to ICAT and IDS
Blaz: a library for frugal matrix computations. Blaz provides compression/uncompression functions for matrices of floating-point numbers and makes it possible to perform basic linear algebra on the compressed matrices, without uncompressing them.
A RAG-based framework for constructing scientific knowledge graphs.
Main Pacifica repository contains submodules to all Pacifica core software components
USA Code.Gov MultiSync API Client for Nim. Get data & code from NASA, LIGO, Fermilab & more on seconds!
Portable Accelerator Implementation of SZ Lossy Compressor for Scientific Data Using Kokkos
Visual analytics tool for scientific data using AR. Developed in Unity3D for the course Immersive Analytics at the University of Konstanz.
Multi-objective optimization of heliostat field layout for Dunhuang 100MW concentrated solar power plant using H-MOWOA-ABC algorithm. Dataset for Scientific Data journal submission.
SDDS (Self Describing Data Sets) C/C++ Library – Official implementation of the SDDS format, a structured data format for scientific applications. The library provides functions to create, read, and manipulate SDDS files, supporting various data types, multi-page datasets, and compressed file handling.
System for Managing the data generated by the SEAGrid Science Gateway
Data supporting the study: On the Readiness of Scientific Data for Fair and transparent ML
Demonstration of comprehensive machine learning analysis in iPython of the quasar candidates catalog by Richards et al., ApJS 219 (2015).
[MSST'24] A Generic and Efficient Lossy Compressibility Estimation Framework
NSF CSSI Project "ROCCI: Integrated Cyberinfrastructure for In Situ Lossy Compression Optimization Based on Post Hoc Analysis Requirements"
Results to help you decide whether Zarr is the right tool for storing your scientific data. Focus on read and write speed
DataVisX es una herramienta en Python orientada a la visualización y el tratamiento interactivo de datos científicos. Proporciona una interfaz gráfica intuitiva que reduce las horas de programación necesarias para pasar de la carga de datos al análisis exploratorio y la modelación.
Jupyter Notebook for analyzing microscopy libraries for use with my python backend Microscopy App
Software que permite la visualización de un sistema planetario con condiciones iniciales variables, con el objetivo de ver el comportamiento de sus órbitas.