Difference between revisions of "Training materials"
From Diversity Workbench
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− | * [[:Media:GFBio GA2017 DWB-Workshop 4to3 Einführung.pdf | Einführung in die DWB | + | * [[:Media:GFBio GA2017 DWB-Workshop 4to3 Einführung.pdf | Einführung in die DWB - Training]] (lecture held in GFBio GA 2017; in German) |
Revision as of 17:47, 25 November 2020
DWB training materials like tutorials, manuals, a training environment and descriptions of processes, workflows and data pipelines are listed here.
- Einführung in die DWB - Training (lecture held in GFBio GA 2017; in German)
- DWB training environment: for individual training purposes with user login
- Diversity Workbench .Net Clients: Manuals are provided as pdf files under DWB user manuals
- Diversity Workbench .Net Clients: Video Tutorials are provided as WMV files under DWB video tutorials (most of them in German)
- DiversityMobile: Short instructions and manuals are provided as pdf files under DiversityMobile User Manuals WP
- Use of DiversityMobile within the long-term monitoring project “Flora von Bayern“, Report über GPS genaue Kartierung 2017 (de)
- Tutorials (Übungen mit Anleitung); available for DWB GIS Editor under GIS Editor for "Flora von Bayern" with Arbeitsmaterial (de)
- Tutorials (Übungen mit Anleitung, Beispielsdatensatz); available for DiversityCollection, management of species occurrence data for "Flora von Bayern" (de)
- Mobile intranet solution for DWB with data sets for training, example files for use in field stations and remote areas realised in 2015
- Gathering specimens with DiversityMobile: see under DiversityMobile User Manuals WP
- Running training courses see SNSB Workshops
- Anleitung zur Bedienung des DWB Tabellen-Editors für TK25 Rasterdaten (de); see also Bayernflora Wiki
see also
- Information under Software Support
- SNSB Diversity Workbench Services GitHub code repository, SMNS GitHub code repository and ZFMK GITHub code repository for the deposit and documentation of import schemas and scripts for XSLT print services
- for general information on user behavior patterns see User Expertise Stagnates at Low