Jump to main content

Data Management Support

SLU Data Management Support (DMS) assists SLU employees with data management - from planning, including data management plans, to publishing, long-term preservation, archiving and the reuse of research and environmental assessment data.

SLU Data Management Guides

Here you will find resources to help you plan your data management, write a data management plan, publish data, find already published data and much more.

Circle with arrows representing different steps in the data management process. Illustration.

Data from environmental monitoring and assessment

Read more about SLU's systematic approach to data management in environmental monitoring and assessment and the support available.

Electro fishing in forest stream. Photo.

How to publish data via SND

All SLU staff can publish scientific data and data descriptions free of charge via the Swedish National Data Service (SND). Read our guide to find out how!

Logo with geometric figures in blue and red. Illustration.

Recently published SLU data

SLU data in SND's research data catalogue, curated by DMS. All SLU data in SND's research data catalogue

  • Automatic Detection of Ditches and Natural Streams from Digital...

    This data contains the digital elevation models and polyline shapefiles with the location of channels from the 12 study areas used in this study. It also has the code to generate the datasets used to train the deep learning models to detect channels, ditches, and streams, and calculate the topographic indices. The code to train the models is also included, along with the models with the highest performance in 0.5 m resolution. The channels were mapped differently based on their type: ditches...

  • Detection of hunting pits using airborne laser scanning and deep learning

    This is training and testing data for the detection of hunting pits in airborne laser data. The data is split into three parts. 1: Data for transfer learning with radar imagery and impact craters on the moon. 2. Data for training and testing of the machine learning model. 3: Data from a separate demonstration area used to evaluate the model. The lunar data (1) were used to pre-train a machine learning model before training on the real data of hunting pits from earth (2). The demonstration...

Published: 08 March 2024 - Page editor: dms@slu.se
Loading…