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<title>Channels - Mapping the collection: visualising locality data for myriapods in the Museum für Naturkunde Berlin :: FRELIP Discovery
Channels Mapping the collection: visualising locality data for myriapods in the Museum für Naturkunde Berlin
Towards a Museum Knowledge Graph: Measuring the Impact of Linked Open Collection Data for the Museum für Naturkunde Berlin
Specimens, Sprints, and Scrum Masters: Project Management at the Museum für Naturkunde Berlin
Fur rubbing in Plecturocebus cupreus – an incidence of self-medication?
MfN DataHub – a Centralized Service for Automated Biodiversity Data Integration at the Museum for Natural History Berlin
An illustrated type catalogue of Born’s collection at the Natural History Museum Vienna. Part 1: Mollusca (Bivalvia and Scaphopoda), Brachiopoda
Collections unravelled: Loman’s Pycnogonids
New distributional data and species records of Cypriot ants (Hymenoptera: Formicidae) based on museum collections
Critical reflections on German Red Lists of endangered myriapod species (Chilopoda, Diplopoda) (with species list for Germany)
The sheltopusik (Pseudopus apodus) in southwestern Ukraine? Insights from the museum collection
Introduced greenhouse-invertebrates in Potsdam and Berlin with a focus on ants (Hymenoptera, Formicidae) with eight new records for Europe, Germany or the Berlin-Brandenburg region
The dataset of the lichen collection "Abramo Massalongo" preserved at the Natural History Museum of Venice
Incorporating environmental DNA metabarcoding for improved benthic biodiversity and habitat mapping
New data from the historical bee collection (Hymenoptera, Anthophila) of the Science Museum of the University of Coimbra and additional faunistic updates for Portugal
Public and patient involvement: exploring public partnership in pathogen whole-genome sequencing research and its data visualisation
The Swedish Reference Genome Portal: A Hub for Non-Human Eukaryotic Genomic Data Visualisation, Discovery, and Reuse
On the origin of two bronze dwarfs in the museum fur Volkerkunde, Vienna, Austria
Learning from Digital Collections: Digitisation and Machine Learning for Large-Scale Museum Studies
Pollen metabarcoding of museum specimens and recently collected bumblebees (Bombus) indicates foraging shifts
An autonomous network of acoustic detectors to map tiger risk by eavesdropping on prey alarm calls
Evaluating methods for high‐resolution, national‐scale seagrass mapping in Google Earth Engine
Comparing convolutional neural network and random forest for benthic habitat mapping in Apollo Marine Park
Precise Generation of High‐β‐Carotene Watermelon via Visualised Base Editing
Geographic distribution of the rare and endangered Telmatobufo venustus (Philippi, 1899) (Anura, Calyptocephalellidae), with the description of a new locality and comments on the type locality
Wall‐to‐wall Amazon forest height mapping with Planet NICFI, Aerial LiDAR, and a U‐Net regression model
