The NLeSC Knowledge Base captures eScience knowledge and best practices. It is comprised of a collection of books, most written by NLeSC engineers.
Tie-points reduction tools in MicMac - Description and experiments
This report describes the tools for tie-points reduction implemented within MicMac. This work has been carried out during the project Improving Open-Source Photogrammetric Workflows for Processing Big Datasets The report contains a description of the algorithms as well as the definition and execution of a set of experiments to assess the new tools.
Wood Image Classification - Initial Results
This report gives some initial findings on how to automatically classify microscopy images of sections of wood species, given a set of annotated or labelled examples.
Summer in the City
This document forms the technical documentation for the Summer in the City project (ESOCCS12.013). The project is a collaboration between Wageningen University and the Netherlands eScience center. The project ran from 2013 to 2016.
CERN ROOT conda recipes
Conda recipes for building CERN ROOT binaries (with Python support) and its dependencies, to provide “pythonic” interface to the ROOT I/O format. It is an outcome of a pathfinder project is a collaboration between the XENON dark matter experiment and the Netherlands eScience center.
Research Software at the Heart of Discovery
DANS and NLeSC
This document sets out the need for increased attention to academic software-sustainability and research software practice in general.
Tutorial - Distributed Computing with Xenon
Jurriaan H. Spaaks
This document aims to help users without much prior knowledge about Java programming and without much experience in using remote systems to understand the basics of how to use the Xenon library.
Point cloud data management systems - DBMS and file-based solutions
This document serves as usage guides for the available point cloud data management systems, including (i) DataBase Management Systems (DBMS) such as PostgreSQL, Oracle and MonetDB and (ii) file-based solutions such as LAStools.
Large Scale Computer Vision
The goal of this document is to present a focused partial overview of the state of the art in large scale computer vision (CV).
Modern Data Management Solutions
This document comprises a short overview of modern data management technology.
Data-Stewardship in the Big Data Era
NLeSC Management Team and Integrators
The purpose of this document is to propose a series of actions to NWO as it formulates its policies on data-stewardship.