Sampling date:
Number of samples:


You can download all data from the eDNA expeditions through our AWS S3 bucket .

You can also explore the technical documentation on our GitHub repository:
iobis/edna-expeditions

Explore the results

Select a site to start at the top of this page.

This page shows all the species that were detected from the site, ordered by abundance of sequences that were detected for each species. You can browse to discover the diversity of life that was detectable by DNA samples. By clicking on a species image, you will get more information on the biology of the species, which samples it was found in, and the actual DNA sequence that the detection was based on. You can filter this gallery to find your favorite group of species or by IUCN Red List Category. The species assignments are done automatically, with manual curation. Due to the nature of this workflow, there may still be some errors in species list. If you spot an error, please let us know at helpdesk@obis.org, referring to the eDNA dashboard, site and species in question. Thank you for your help!

Taxonomic composition

This table shows all species that were identified from the site across all samples, ordered by number of reads. You can search on the different taxonomic levels, species names, samples, locations, target gene and reads. For more information on each species check out the species tab!

Taxonomic piechart

This image shows the taxonomic composition of the DNA sample as a piechart. You can see which portion of the DNA sequences were identified. You can browse all different taxonomic groups by clicking twice on a label, to see how prevalent they were in the sample, including higher taxonomic levels.

Diversity metrics

This figure shows the number of sequences (also called reads) in each sample after filtering for quality control, both as absolute numbers as well in relative abundance of the total reads. All sequences that received names are colored, the grey area therefore shows reads that could not be resolved to a taxonomic name. You can toggle the taxonomic level that is shown. At each taxonomic level the top 10 most observed taxa receive a distinct color. Note that contaminations from humans, bacteria (and other prokaryotes), fungi and domestic animals have been removed prior to the analysis.


Alpha Diversity: How diverse is each sample individually?

This figure presents the alpha diversity of each sample, grouped by location (where samples from the same location are considered replicates). The simplest measure of alpha diversity is the count of species or ASV (Amplicon Sequence Variant) sequences found within a sample. Alpha diversity can also be explored across various taxonomic levels or by including all sequences, even those that are not taxonomically resolved. Additionally, other indices, such as Chao, Shannon, or Simpson, provide more nuanced assessments by incorporating the relative abundance of different taxa or ASV sequences. These measures offer deeper insights into the richness and evenness of species within each sample.

Beta diversity: How does species composition vary between samples?

Beta diversity measures indicate how similar or different samples are in terms of species composition. To assess this, a distance matrix is generated for all samples, which is then visualised by plotting the distances. In the resulting plot, points that are farther apart represent samples with greater differences in species composition, while points closer together indicate more similar samples. In this context, you may observe that samples collected from the same location tend to cluster together, reflecting their shared characteristics.

Samples

This is an overview of all samples collected from the sites as well as any negative controls (blanks). Blanks are used to ensure the reliability of the results. They confirm that any detected DNA signal is genuinely from the environmental sample, and help identify potential sources of contamination. Ideally, DNA concentrations in blanks are very low.

Number of species at thermal risk

The graph shows the number of species at thermal risk for this site under current conditions and three future SSP (shared socio-economic pathways) climate scenarios for 2100. Thermal risk occurs when the site’s temperature exceeds a species’ thermal limit, defined as the 95th percentile of temperatures where the species has been recorded. Some species, especially in tropical areas, may already exceed this limit. While not indicating local extinction, thermal risk indicates stressful conditions to the organism that may affect its survival. Values at the top of the bars indicate the average SST for the site during that period.

Monthly temperature (degrees Celsius) at the site

The graph shows monthly sea temperature trends for different sites, with an option to display data as anomalies compared to a baseline. Each line represents a site, showing seasonal changes and differences between locations. When using anomalies, the graph highlights periods that are warmer or cooler than usual. This helps to understand temperature patterns and possible climate impacts at each site.


Species thermal risk

Attention

The following table highlights species that are potentially at thermal risk at this site, based on its current thermal limits. It is important to note that, since the region has not yet experienced the extreme sea temperatures predicted for the future, there is uncertainty about how tropical species—already living near their upper thermal limits—will respond to these unprecedented conditions.

Tip: you can sort the table by clicking on a column header. You can also use the boxes to filter the values.


The values in the Current and SSP columns represent the temperature difference (in degrees Celsius) between the site temperature and the species’ thermal limit. Cells highlighted in orange (positive values) indicate temperatures exceeding the species’ thermal limit, placing them at risk. Cells in blue (negative values) show temperatures below the thermal limit, indicating no immediate thermal risk.

Depth refers to the primary depth zone where the species reside:

  • S (Sea Surface): Includes depths up to 200 m.
  • NS (Not limited to Surface): Refers to species capable of inhabiting depths greater than 200 m. For these species, bottom sea temperature is used to evaluate thermal limits.
  • NA (Not Available): Indicates a lack of database information about the species’ depth preference. In such cases, sea surface temperature is used as a proxy.

The Shared Socioeconomic Pathways (SSPs) describe possible future scenarios based on greenhouse gas emissions and societal development.

  • SSP1 (2.6): A “sustainable development” pathway with low emissions, strong international cooperation, and rapid adoption of green technologies. Lower global warming.
  • SSP2 (4.5): A “middle-of-the-road” scenario with moderate emissions. Society follows current trends, with gradual technological improvements and mixed success in climate policies.
  • SSP3 (7.0): A “regional rivalry” pathway with high emissions. Countries prioritize self-interest, leading to limited climate action. Higher global warming.