Open Source Java Information Analysis Software

Tabla periódica completa con funciones especiales únicas. Desarrollada en Java como proyecto final del área de Química en Ingeniería de sistemas segundo semestre.

Autoplot is an interactive browser for data on the web. Give Autoplot a URL or local file name and it creates a sensible plot of the data. Autoplot allows you to interactively browse data stored in ascii, .cdf, netcdf, and many other formats. Autoplot's source has been moved to GitHub. Thanks to SourceForge for many years of hosting!

Crawl a set of files, accumulating information on the temporal and spatial extent of the data in each file, for later search and retrieval.

The EDAM ENCHILADA - The Exploratory Data Analysis and Management Project's Environmental Chemistry Data Processing and Mining Application.

ESSE is a flexible, efficient and easy to use search engine for data mining in environmental data archives. ESSE will help you find useful data even if you don't know exactly what you are looking for.

GDS is a project to check generic measured earth science data. It is also an interactive database management system to store all data in MySQL-DB. GDS rules as project based management system with unlimited stations. Each station manages 20 sensors.

JSpice is a Java Wrapper (using JNI) for the CSpice library provided by NAIF. Goal of JSpice is to provide a full portable version of CSpice wich is used to calculate geometricals parameters of spatial mission as Cassini/Huygens.

MionChrom interprets ASCII data from GC-C-IRMS systems, plots it, identifies peaks and autointegrates the results. The user can manually integrate peaks with different tools. The results is reported in *.XLS, *.TXT and *.PNG. ------------------------------------------------------ MionChrom is soon to be replaced by MionMass which isn't a open sourced project.

Obs-dm aims to provide a robust and reliable way to collect, analyze, and share observational data. It is being designed for extendability into other areas such as fisheries and habitat science.

XML Parser, Data Processing API and Specific Implementations for SensorML.

The aim of the project is the creation of an multiuser, webenabled, datahandling, processing and visualisation tool for engineering data from the real word - with Datacollection, Charting, Mapping, Alerting, Messaging and Reporting capabilities .....

Starting from GIMMS values as ascii data (each line will be treated as individual time series), the application can smooth the ts - values by applying different algorithm that are based on Fouriertransformation. Separation of seasonal figure as well as the detection of linear trends is possible. Possible breaks in longterm mean can be detected with a change-point analysis using CuSum algorithms. Phenological events such as start-of-season, day-of-max/day-of-min, end-of-season can be determined via threshold-based algorithms or via analysis of max. increase of NDVI during green-up. These analyses work also for multimodal phenologies where individual seasons (partly) interfere each other. User can navigate through all steps of analysis via GUI or can define complex workflows that will be processed in batch-mode.