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Figure 24 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report

Figure 24: Relationship of the maximum total phosphorus concentration experienced by each lake versus the proportion of Coregonus species lost in each lake (left) and the genetic differentiation (global Fst) among the post-eutrophication Coregonus species within those lakes that retain native Coregonus species (right). Modified from [42].

Figure 5 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report

Figure 5: Number of lakes where each fish species was recorded in Projet Lac as native, endemic, non-native or exotic. Thirty-five lakes were surveyed as part of Projet Lac.

Figure 7 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report

Figure 7: Whole-lake community composition based on CPUE in vertical nets. Upper panel shows volume-weighted aver- age number of fish per 100 m2 net area. Lower panel shows volume-weighted average biomass per 100 m2 net area. Figure includes only lakes surveyed by the standard vertical net protocol. Lakes Sarnen and Biel were sampled with a modified protocol and are excluded here. The smallest lakes Bret and Bonlieu are also excluded. Note that sequence of lakes along the X axis differs between the panels.

Figure 11 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report

Figure 11: Similarity of the native fish species assemblages among lakes sampled by Projet Lac depicted by hierarchical cluster analysis (Sørensen index based on presence/absence of taxa; complete linkage). Lakes joined by shorter branches share a higher proportion of their fish species. Colours indicate river catchments: red = Rhine, green = Rhone, orange = Po, blue = Danube. See Figure 82 for an exploration of factors driving differences in the fish communities among lakes within catchments.

Figure 15 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report

Figure 15: Depth distribution of fish abundance by species (individuals per unit effort) in benthic habitats to 50 m deep according to CEN benthic nets.

Figure 26 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report

Figure 26: Depth distribution of catch per unit effort (CPUE; horizontal axis) for native fish species living in the deeper zones of the deep, northern perialpine lakes: Coregonus spp (yellow), Salvelinus spp (red), Cottus spp (grey/brown) and Lota lota (light grey). CPUE is the average of catches in deep-set vertical nets and benthic CEN nets. CPUE is square-root transformed to increase the visibility of the smaller values in the profundal zone. Note that the scale of the horizontal axis (CPUE) differs among the lakes. Whereas Lota lota has pelagic eggs and larvae and does hence not have to recruit locally, all other species recruit locally. Boxes at the bottom of the figure show the total phosphorus of the lake at the time of Projet Lac sampling (upper value) and the maximum measured total phosphorus value that had been experienced by the lake in the past (lower value in bold). The panels for Constance and Zurich show the data for the deeper lake in each of the pairs (i.e. Upper Constance and Lower Zurich).

Figure 23 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report

Figure 23: Fish biomass (CEN gillnets) in the shallow sunlit zone near the lake floor to around 12 m was higher in lakes with more phosphorus. In the deeper parts of the lakes (below 50 m), benthic fish biomass was highest in the lakes with very low phosphorus. Dashed lines are shown for statistically significant relationships (surface: p-value = 0.003, R2 = 0.74; middle: p-value = 0.63, R2 = 0.02, deep: p-value = 0.014, R2 = 0.467). Horizontal axis is displayed on a log scale.

Figure 14 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report

Figure 14: Whole-lake average fish biomass per unit net area in vertical nets was lower in deeper lakes due to their proportionally larger volume of less productive habitat. Note that vertical and horizontal axes are on a log scale. Lakes that have returned from a period of eutrophic conditions with hypoxia in the hypolimnion in at least part of the lake to meso- or oligotropic conditions are indicated in blue, while yellow points indicate re-oligotrophied lakes that have lost profundal fish species.

Figure 10 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report

Figure 10: Uniqueness of the fish communities of all lakes and catchments. Uniqueness index for each lake was calculated as the sum of the inverse of the number of lakes where each species in the lake was recorded.

Figure 17 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report

Figure 17: Habitat associations of fishes in the littoral zone in late summer/autumn based on sampling in 28 perialpine lakes. Grey lines indicate that the species was recorded (electrofishing and shallow-set vertical nets) more often in this littoral habitat than in other habitats. The thickness of the line reflects how much more frequently than random the species was recorded in the habitat. Associations were averaged among lakes and shown only where the association was positive in more than half of the lakes in which a species was recorded. Only fish species recorded in the littoral zone of at least three lakes are shown. Three species were recorded in at least three lakes, but had no clear habitat association (Carassius gibelio, Rhodeus amarus, Telestes muticellus). Lineages of Barbatula spp and forms of Perca fluviatilis could unfortunately not be differentiated in the analysis. Inflows and outflows are excluded to focus on the lacustrine habitats. Note that some of these species may have their strongest associations with other habitats outside the littoral (e.g. the sublittoral, profundal or pelagic), but such habitat occurrences could not be included in this analysis. See [47] for more information on the calculation of habitat association.

Figure 6 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report

Figure 6: Species-abundance distributions (SADs) for each of 35 perialpine lakes and 1 lowland lake. These SADs result from combining partial SADs obtained by sampling with the CEN netting protocol, the VERT netting protocol and the electrofishing protocol (for all partial SADs see Appendix B Figure 69). Abundances are log2-transformed. Normal distributions are indicated by a thin line in each plot. The qualitative fit to the expected distribution is indicated by coloured circles: dark green = good fit, light green = modest fit, orange = poor fit, red = very poor fit. Colour of bars indicates drainage systems: green = Rhone, red = Rhine, orange = Po, blue = Danube. Note the systematic difference between Rhine lakes (9 good, 3 modest, 4 poor, 1 very poor) and Po lakes (0 good, 1 modest, 2 poor, 6 very poor). This difference cannot be due to differences in sampling effort because Maggiore and Lugano were among the best sampled lakes, but both have very poor fits to the expected distributions. Lake Aulnes is a lowland lake in the southern Rhone drainage that we sampled but did not otherwise consider in this report.

Figure 1 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report

Figure 1: Map of lakes surveyed by Projet Lac with major river networks and catchments indicated by background colour. Note that the Aare-Rhine includes the subcatchments of the Reuss and Limat rivers. Data source: Federal Office of Topography swisstopo 2020.

Figure 19 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report

Figure 19: Opposing relationships with total phosphorus for the biomass of the two most common fish taxa among the large and deep lakes (average depth> 50 m). Data are whole-lake average biomass (in grams) of fish per vertical net battery. Note that the horizontal axis is on a log scale. Regression statistics for Coregonus are p-value = 0.005, R2 = 0.57 and perch are p-value = 0.004, R2 = 0.58. Shaded regions show thresholds for total phosphorus of 10 μg / L and 5 μg / L.

Figure 22 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report

Figure 22: Whole-lake average number of European perch (Perca fluviatilis) per vertical net battery compared to total phosphorus concentration in large and deep lakes (average depth> 50 m). The left panel shows the relationship for all perch caught in the lake (p-value = 0.022, R2 = 0.42). The right panel shows the relationship for only perch larger than 20 cm (length from snout to the tip of the tail; p-value = 0.003, R2 = 0.6). Note that the horizontal axis is on a log scale. Dashed red lines indicate statistically significant relationships.

FRESH:COM Dynamic Participation in Local Energy Communities with Peer-to-Peer Trading

This repository contains input data used for the case study in 'Dynamic Participation in Local Energy Communities with Peer-to-Peer Trading'

Seroprevalence of anti-SARS-CoV-2 antibodies among communities in Bangui, Central African Republic

Significance for public health This is a serological survey conducted in the Central Africa Republic among the general urban population not vaccinated against COVID-19. Its reveals a high cumulative level of immunity, thus indicating a significant degree of spread of SARS-CoV-2 in the population. More comprehensive studies to explore the impact of new variants on this quasi-herd-immunity as well as its effect on the immunity in people vaccinated against COVID-19.

FlyWire: Online community for whole-brain connectomics

A ground truth dataset for 3D neuron reconstruction from electron microscopy (EM) images of the fly whole-brain, created for our project FlyWire: A human-AI collaboration to map the fly connectome. For more information, please visit <a href="https://flywire.ai/">https://flywire.ai/</a>.   Citation FlyWire: Online community for whole-brain connectomics Dorkenwald et al. bioRxiv 2020.08.30.274225; doi: https://doi.org/10.1101/2020.08.30.274225   Dataset description <ul> <li>cremi_realigned.tar.gz <ul> <li>cremi_{a,b,c}_realigned.h5: re-aligned CREMI volumes (<a href="https://cremi.org/">https://cremi.org/</a>)</li> <li>cremi_b_realigned_new.h5: re-aligned CREMI B volume with de-novo annotation</li> </ul> </li> <li>focused.tar.gz <ul> <li>A set of densely annotated volumes covering diverse structures in the fly brain that are underrepresented in the CREMI volumes.</li> </ul> </li> <li>sparse.tar.gz <ul> <li>A set of sparsely annotated volumes covering tricky failure modes in the initial segmentation attempt.  Here intracellular structures are often oversegmented conservatively to prevent merge errors at the expense of introducing some split errors. </li> </ul> </li> <li>glia.tar.gz <ul> <li>Semi-automatically generated ground truth for glia detction. A set of subvolumes from the FlyWire segmentation was sampled from which human experts classified automatically generated segments into either neurons or glia, while existing merge errors were excluded from annotation.</li> </ul> </li> </ul>

Anonymized dataset for "Research themes of family and community physicians in Brazil"

This is the anonymized dataset analyzed in the manuscript “Research themes of family and community physicians in Brazil”. It was derived with the first R script in <a href="https://doi.org/10.5281/zenodo.5798092">https://doi.org/10.5281/zenodo.5798092</a> from restricted datasets in <a href="https://doi.org/10.5281/zenodo.3376310">https://doi.org/10.5281/zenodo.3376310</a> and <a href="https://doi.org/10.5281/zenodo.5797816">https://doi.org/10.5281/zenodo.5797816</a>. Both the data and the data dictionary are recorded in comma-separated values, with byte-order mark.

opencc-by-4.0Apr 2021View details →

Data and code for "Relationships between aboveground plant traits and carbon cycling in tundra plant communities"

Paper See the preprint for more detailed description of the performend analyses <a href="https://doi.org/10.1101/865899">here.</a> Description of subdirectories The structure of this repository loosely follows that recommended by <a href="https://doi.org/10.1371/journal.pcbi.1005510">Wilson et al. 2017</a>. docs Contains data documentation and metadata. data Holds raw, unedited data src Contains analysis scripts. The src/new_analyses.R script generates all the figures for this project. The other scripts prepare the data for analysis, and must be run before src/new_analyses.R results Contains all analysis results, cleaned, analysis-ready data, figures, etc. Some of the figures (such as measurement schematics) have been generated by hand, and are thus not linked to any scripts.

Research data supporting "A validated model of a photovoltaic water pumping system for off-grid rural communities"

Research data supporting "A validated model of a photovoltaic water pumping system for off-grid rural communities", Applied Energy, 2019