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8 results for “Water Framework Directive”
F I G U R E 3 in The future of fish-based ecological assessment of European rivers: from traditional EU Water Framework Directive compliant methods to eDNA metabarcoding-based approaches
F I G U R E 3 Comparison of trait-based metrics expressed in relative number of individuals computed from eDNA () and traditional electro-fishing (TEF;) samples in the five river stretches (RS), A, B, C, D and E. Trait categories: BEN, benthic; EUR, eurytopic; INS, insectivorous; OMN, omnivorous; PHY, phytophilic; POT, potamodromous; RHE, rheophilic; TOL, tolerant; PEL pelagic. Significance of the differences between eDNA and TEF metrics are shown: ns, not significant (P> 0.05)
F I G U R E 4 in The future of fish-based ecological assessment of European rivers: from traditional EU Water Framework Directive compliant methods to eDNA metabarcoding-based approaches
F I G U R E 4 Boxplots (, median value;, interquartile range;, full range;, outliers) showing the variability in the eDNAadapted fish index (six metrics) computed at three sites (Brangues, Rhins and Usses) where 10 eDNA water samples were collected once. At each site, the eDNA-based six-metric fish index was computed for each of the 45 possible pairs of samples
F I G U R E 2 in The future of fish-based ecological assessment of European rivers: from traditional EU Water Framework Directive compliant methods to eDNA metabarcoding-based approaches
F I G U R E 2 Comparison of trait-based metrics expressed in number of species computed from eDNA () and traditional electrofishing (TEF;) samples in the five river stretches (RS), A, B, C, D and E. Trait categories: BEN, benthic; EUR, eurytopic; INS, insectivorous; OMN, omnivorous; PHY, phytophilic; POT, potamodromous; RHE, rheophilic; TOL, tolerant; PEL pelagic. Significance of the differences between eDNA and TEF metrics are shown: P <0.05; P <0.01; ns, not significant (P> 0.05)
F I G U R E 1 in The future of fish-based ecological assessment of European rivers: from traditional EU Water Framework Directive compliant methods to eDNA metabarcoding-based approaches
F I G U R E 1 Sampling locations along river stretches (RS) A to E () of the main channel of the Rhône River, France, using both traditional electro-fishing (TEF) and eDNA., Sites sampled every 2 months (September 2015– August 2016);, sites where ten eDNA water samples (filtration capsules) were collected once;, sites located on the tributaries or the Rhône River itself sampled once for eDNA. The 10 metric fish index and the adapted six-metric fish index were computed at all sites with a black filled symbol within natural water bodies
Figure 3 in The effects of various lake typologies on the distribution of Chironomus spp. (Diptera), and arguments on optional factors of Water Framework Directive in Türkiye
Figure 3. CCA ordination of the sampled lakes (L1 to L20, except L2), significant environmental variables and species. Environmental variables ranging over (VIF> 10) were omitted from the ordination. A total of 56.62% variance was expressed in the first two axes. Groups (Grp I–IV) spotted by using K-means algorithm were mapped on the biplot. ORP: oxidation and reduction potential.
Figure 4 in The effects of various lake typologies on the distribution of Chironomus spp. (Diptera), and arguments on optional factors of Water Framework Directive in Türkiye
Figure 4. CCA ordination of the sampled lakes (L1 to L20, except L2) based on national altitude class boundaries (R1: <800 m, R2: 800–1600 m, R3:>1600 m). A total of 62.06% variance was expressed in the first two axes. The distinction of the three groups was found to be statistically significant (p <0.05). For the significance levels of the typological factors, see Table 1.
Figure 2 in The effects of various lake typologies on the distribution of Chironomus spp. (Diptera), and arguments on optional factors of Water Framework Directive in Türkiye
Figure 2. Pearson's correlation heatmap of the 20 environmental variables and 2 taxa metrics (H` and J). Color intensity and the size of the circle are proportional to the correlation coefficients: red spectrum indicates a negative correlation, and blue spectrum indicates a positive correlation.
Schönberg, J., Böhm-Beck, M., Trdan, Š., Grego, M., Knoblauch, D., Hinzmann, M., Dittmann, S., Knickmeier, K., Robič, U., Thiel, M., Kiessling, T., 2025. Public participation in EU legislation? Recommendations for involving citizen scientists in anthropogenic litter research within the Water Framework Directive.
<p>Research data and figures to the manuscript "Public participation in EU legislation? Recommendations for involving citizen scientists in anthropogenic litter research within the Water Framework Directive" by Schönberg et al. 2025</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.