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Fig. 1 in Records of European free-tailed bat Tadarida teniotis (Rafinesque, 1814) (Mammalia: Chiroptera) in Bulgaria
Fig. 1. Sonogram of echolocation calls of a group of emerging from the daily roost European free-tailed bats (Tadarida teniotis) near Madzharovo town.
The potential impact of climate change on European renewable energy droughts
<p>The file contains a supplementary material for an article entitled <em>The potential impact of climate change on European renewable energy droughts</em> (currently under review):</p> <p>The projected change of the total number of drought days for a wind, solar and hybrid generator in relation to the reference period as predicted by the models considered</p> <p> </p>
figure 3 in EFfects of background color on pigmentation, morphological traits, and behavior in the European tree frog (Hyla arborea, Hylidae, Anura) tadpoles
figure 3 Variation in body pigmentation between different background coloration treatments during ethe xperimental time in H. arborea tadpoles. dl – dark-light treatment; d – dark treatment; dd – darkdark treatment; ld – light-dark treatment; l – light treatment; ll – light-light treatment
figure 4 in EFfects of background color on pigmentation, morphological traits, and behavior in the European tree frog (Hyla arborea, Hylidae, Anura) tadpoles
figure 4 The tadpole body coloration by treatment: day 0 – the start of the experiment, average pigmentation 69% of dark pixels, no treatment groups; day 20 of the experiment (day 20) – two treatment groups, Dark and Light, average pigmentation d – 93% and l – 62% of dark pixels; day 36 – the end of the experiment (day 36) – four treatments, dd – dark-dark treatment, ld – light-dark treatment, dl – dark-light treatment, ll – light-light treatment, average pigmentation dd – 90%, dl – 60%, ld – 91%, ll – 70% of dark pixels.
figure 1 in EFfects of background color on pigmentation, morphological traits, and behavior in the European tree frog (Hyla arborea, Hylidae, Anura) tadpoles
figure 1 Experimental design of the study. n – sample size; gs – developmental stage by Gosner, 1960
figure 6 in EFfects of background color on pigmentation, morphological traits, and behavior in the European tree frog (Hyla arborea, Hylidae, Anura) tadpoles
figure 6 Mean body shape of each treatment in two time points (after 20 days of the experiment – two treatments, and after 36 days/at the end of the experiment – four treatments) visualized in the canonical variate space (cv1 vs. cv 2). 20 d – dark treatment after 20 days; 20 l – light treatment after 20 days; 36 dd – dark-dark treatment after 36 days; 36 dl – dark-light treatment after 36 days; 36 ll – light-light treatment after 36 days; 36 ld – light-dark treatment after 36 days.
figure 8 in EFfects of background color on pigmentation, morphological traits, and behavior in the European tree frog (Hyla arborea, Hylidae, Anura) tadpoles
figure 8 How many times on average (with standard error) H. arborea tadpoles from different treatments were detected in the dark background: without predator chemical cues (black bars), with predator chemical cues (grey bars). dl – dark-light treatment; dd – dark-dark treatment; ld – light-dark treatment; ll – light-light treatment.
figure 2 in EFfects of background color on pigmentation, morphological traits, and behavior in the European tree frog (Hyla arborea, Hylidae, Anura) tadpoles
figure 2 Position of landmarks (l) and semi-landmarks (sl): l 1 – the tip of the snout, l 2 & 3 – dorsal and ventral points of anterior eye edge, l 4 – the intersection of head-body and dorsal edge of the tail fin, l 7 – the intersection of head-body and the ventral edge of the tail muscle, sl 5, 6 & 8 – the dorsal side of the tail fin, the dorsal side of the tail muscle, the ventral side of the tail muscle, the ventral side of the tail fin, all in the same vertical line as l 7, sl 9–12 – the dorsal side of the tail fin, the dorsal side of the tail muscle, the ventral side of the tail muscle, the ventral side of the tail fin ¼ the distance between l 7 and l 21, sl 13–16 – the dorsal side of the tail fin, the dorsal side of the tail muscle, the ventral side of the tail muscle, the ventral side of the tail fin ½ the distance between l 7 and l 21, sl 17–20 – the dorsal side of the tail fin, the dorsal side of the tail muscle, the ventral side of the tail muscle, the ventral side of the tail fin ¾ the distance between l 7 and l 21, l 21 – the tip of the tail
figure 7 in EFfects of background color on pigmentation, morphological traits, and behavior in the European tree frog (Hyla arborea, Hylidae, Anura) tadpoles
figure 7 Ontogenetic trajectories of each treatment in two time points (after 20 days of the experiment – two treatments, and after 36 days/at the end of the experiment – four treatments) visualized in the space of principal components (pc1 vs. pc2). 20 d – dark treatment after 20 days; 20 l – light treatment after 20 days; 36 dd – dark-dark treatment after 36 days; 36 dl – dark-light treatment after 36 days; 36 ll – light-light treatment after 36 days; 36 ld – light-dark treatment after 36 days.
figure 5 in EFfects of background color on pigmentation, morphological traits, and behavior in the European tree frog (Hyla arborea, Hylidae, Anura) tadpoles
figure 5 Body length variation between different background coloration treatments during experimental time in H. arborea tadpoles. dl – dark-light treatment; d – dark treatment; dd – dark-dark treatment; ld – light-dark treatment; l – light treatment; ll – light-light treatment.
Fig. 1 in First Molecular Detection of Giardia duodenalis Assemblage B in a Free-Living European Wildcat (Felis s. silvestris) from Luxembourg
Fig. 1. Neighbor-joining distance analysis of the β-giardin nucleotide sequences. FS1 – sequence of partial β-giardin gene of the isolate from wildcat (KX685669). Reference human isolates: WB and KC8, (X85958 and AY072723); LD18, Nij5, VAN/90/UBC/44, GH- 202 (AY072727, AY072725, KP687755, AB618785); A101 and – cat isolate, (AY647264 and EU769206); P15 – reference cow isolate, (AY072729); A29 and A27 – reference dog isolates (AY545646 and AY545648). G. muris (AY258618) represents an outgroup.
Soil erosion by water in the 1980s-2020s in the steppe region of the southeast of the East European Plain (Volgograd region, Russia)
<p>The dataset contains rasters with a 30m resolution of the distribution of soil erosion by water. Raster "Soil Losses 1980s" has shown the average soil losses by water erosion in the 1980-1990s, and raster "Soil Losses 2020s" has shown average soil losses by water erosion in the 2010-2020s.</p>
Impact of urban heat islands on human mortality risk in European cities
<p>These data contain estimates of temperature-related human mortality, as well as the associated economic assessments, related to urban heat islands for 85 European cities over the years 2015-2017. They are based on temperature-mortality relationships from Masselot et al. 2023 and 100m resolution UrbClim urban climate model simulations of near-surface air temperature (De Ridder et al. 2015, Hooyberghs et al. 2019), re-gridded to 500m resolution.</p> <p> </p> <p>Details of the methodology are provided in the associated paper:</p> <p>Huang, W.T.K. et al. Economic valuation of temperature-related mortality attributed to urban heat islands in European cities. <em>Nat Commun</em> <strong>14</strong>, 7438 (2023). <a href="https://doi.org/10.1038/s41467-023-43135-z">https://doi.org/10.1038/s41467-023-43135-z</a></p> <p>And associated core analysis code is available on GitHub at https://github.com/hkatty/Paper_UHI_mortality_Europe (doi:10.5281/zenodo.8429209). </p> <p> </p> <p> </p> <p>The content of the files are as follows:</p> <p><strong>spatial_timeseries</strong> zip files: These contain the most unprocessed attributable fraction estimates, with the exposure-response relationships applied to the modelled temperature, prior to any further processing.</p> <p><strong>uhi</strong> csv files: These are tables of the average mortality and years of life lost, as well as associated economic assessment, related to urban heat islands for each city. They are identical to Tables S4-S11 in the supplementary materials of the above paper.</p> <p><strong>spatial_maps_time_averaged_diff_from_rural.zip</strong>: Spatial maps showing the difference from the rural average for each day and grid box, then averaged over time. </p> <p><strong>data_urbanruralavg_timeseries.nc</strong>: Time series of urban and rural averages, as well as the difference between the two (i.e. the urban heat island effect).</p> <p><strong>avg_diff_from_rural_urbanrural.nc</strong>: The above timeseries file temporally aggregated.</p> <p><strong>simulated_urbanruraldiff_timeseries.zip</strong>: Time series of urban-rural difference in attributable fraction for 1000-member ensembles representing uncertainties in the exposure-response relationships as captured by Monte Carlo simulations.</p> <p><strong>simulated_urbanruraldiff_averaged.zip</strong>: The above simulated timeseries temporally aggregated.</p> <p> </p> <p><strong>Some variables explained:</strong></p> <p>fAF = forward attributable fraction (i.e. fraction of total mortality associated with a single day's temperature, cumulative over lag time)</p> <p>fAD = forward attributable deaths (i.e. equivalent to fAF but for number of deaths)</p> <p>tas = temperature</p> <p>heat_ex = average over heat extreme days (i.e. the warmest 2% days in 2015-2017 for the city)</p> <p>cold_ex = average over cold extreme days (i.e. as heat_ex but for the coldest 2% days)</p> <p>heat = average over days warmer than the age-dependent optimal temperature</p> <p>cold = average over days colder than the age-dependent optimal temperature</p> <p>heat_count = number of days warmer than the optimal for the age group, note that for combined 2085.1 and 2085.5 age groups, days are counted if it is considered warm for at least one age group (therefore heat_count + cold_count ≠ total days over period)</p> <p>cold_count = number of days colder than the optimal for the age group</p> <p>rural = rural average</p> <p>imd = land imperviousness</p> <p>popden = population density</p> <p>age groups: </p> <p>20 = 20 to 44<br>45 = 45 to 64<br>65 = 65 to 74<br>75 = 75 to 84<br>85 = 85 and over<br>2085.1 = all above age groups combined, weighted by the local population age structure<br>2085.5 = all above age groups combined, weighted by the 2013 European standard population age structure</p> <p> </p> <p>References:</p> <p>De Ridder, K., Lauwaet, D., and Maiheu, B., (2015): UrbClim – A fast urban boundary layer climate model. Urban Climate, 12, 21–48. <a href="https://doi.org/10.1016/J.UCLIM.2015.01.001">https://doi.org/10.1016/J.UCLIM.2015.01.001</a>.</p> <p>Hooyberghs, H., Berckmans, J., Lauwaet, D., Lefebre, F., and De Ridder, K., (2019): Climate variables for cities in Europe from 2008 to 2017. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). <a href="https://doi.org/10.24381/cds.c6459d3a">https://doi.org/10.24381/cds.c6459d3a</a>.</p> <p>Masselot et al. (2023): Excess mortality attributed to heat and cold: a health impact assessment study in 854 cities in Europe, The Lancet Planetary Health, <a href="https://doi.org/10.1016/S2542-5196(23)00023-2">https://doi.org/10.1016/S2542-5196(23)00023-2</a>. </p>
Supplementary material for Dynamics of rare earth elements and associated major and trace elements during Douglas-fir (Pseudotsuga menziesii) and European beech (Fagus sylvatica L.) litter degradation
<p>Database and figures related to the results that are presented in the manusciript Montemagno et al. that will be submitted as research paper in the journal Copernicus/Biogeosciences.</p> <p>Title of the submission: Dynamics of Rare Earth Elements and associated major cations during Douglas-fir (Pseudotsuga menziesii) and European beech (Fagus sylvatica L.) litter degradation.</p> <p>Authorship: </p> <p>Alessandro Montemagno<sup>1,3</sup>, Christophe Hissler<sup>1</sup>, Johanna Ziebel<sup>2</sup>, Victor Bense<sup>3</sup>, Laurent Pfister<sup>1</sup>, Adriaan J. Teuling<sup>3</sup></p> <p><sup>1</sup>CATchment and ecohydrology research group (CAT/ENVISION/ERIN), Luxembourg Institute of Science and Technology, Belvaux, 4408, Luxembourg</p> <p><sup>2</sup>Biotechnologies and Environmental Analytics Platform (BEAP/ERIN), Luxembourg Institute of Science and Technology, Belvaux, 4408, Luxembourg</p> <p><sup>3</sup>Department of Environmental Sciences, subdivision Hydrology and Quantitative Water Management (HWQM), Wageningen University and Research, Droevendaalsesteeg 4, Wageningen, 6708 PB, The Netherlands</p> <p><em>Correspondence: </em>Alessandro Montemagno (<a href="mailto:alessandro.montemagno@list.lu">alessandro.montemagno@list.lu</a>), Christophe Hissler (<a href="mailto:christophe.hissler@list.lu">christophe.hissler@list.lu</a>)</p>
EUPollMap: The European atlas of contemporary pollen distribution maps
<p>This atlas is an ensemble of pollen-presence digital maps for Europe including 194 taxa from the Eurasian Modern<br> Pollen Database (EMPD v2). The pollen presence is estimated using Kriging over a regular 25-km grid and freely shared as multivariate ESRI GeoTIFF file for every taxa together with the related point dataset as ESRI Shapefile. The GeoTIFF maps contain the probabilistic pollen-presence estimation, a discrete map of the pollen presence, and an uncertainty map derived from the Kriging variance.</p> <p>This dataset is released with the following publication:<br> Oriani F., Mariethoz G., Chevalier M., EUPollMap: The European atlas of contemporary pollen distribution maps derived from an integrated Kriging interpolation approach, submitted to Earth System Science Data.</p>
Data for: European seabass show variable responses in their group swimming features after tag implantation
<p>Data for: European seabass show variable responses in their group swimming features after tag implantation</p><p>Please read the README.txt file before working with the data.</p>
Figure 6 in Seminiferous tubule number and surface: validation of objective parameters to estimate reproduction activity of male European anchovy (Engraulis encrasicolus, L.)
Figure 6. – Histological changes in testis development of Engraulis encrasicolus at the different reproductive maturity stages. A: Stage I, represented only by spermatogonia cells, inactive spermatogenesis, the number of the fields concerned in the biometric analysis N = 236. B: Stage II, active spermatogenesis with primary spermatogenium multiplication and tubular size increase, the number of the fields concerned in the biometric analysis N = 241. C: Stage III, active spermatogenesis, spermatozoa are concentrated in the light of the seminiferous tubules, the number of the fields concerned in the biometric analysis N = 125. D: Stage IV, spermiation, the number of the fields concerned in the biometric analysis N = 93. E: Stage V, seminiferous tubules are empty, spermatozoa are eliminated by release or resorption, the number of the fields concerned in the biometric analysis N = 988.
Figure 4 in Seminiferous tubule number and surface: validation of objective parameters to estimate reproduction activity of male European anchovy (Engraulis encrasicolus, L.)
Figure 4. – Mean values of the gonadosomatic index (GSI, represented in percentage) in Engraulis encrasicolus male collected in the Gulf of Bejaia from October 2007 to May 2008. Data are represented as Mean ± SEM. (values indicates the number of fishes).
Figure 1 in Seminiferous tubule number and surface: validation of objective parameters to estimate reproduction activity of male European anchovy (Engraulis encrasicolus, L.)
Figure 1. – Photomicrograph of male anchovy testicular tissue illustrating the seminiferous tubules in stage I.
Figure 1 in S7 characterization of Western European pikes Esox spp. (Actinopterygii, Esociformes
Figure 1. – Bayesian tree of the 1635 bp of the first intron of the S7 ribosomal protein coding gene (S7) for the 48 sequences separated by alleles of Esox spp. Numbers on the nodes represent posterior probabilities. Diagnostic indels and their location in the alignment are marked by a black triangle and position in the sequence above. Vouchers identifications are symbolized by black and white squares repre- senting respectively E. aquitanicus and E. lucius (see Denys et al., 2014), and gray dots designate E. cisalpinus. $: indicates the holotype of Esox aquitanicus Denys et al., 2014 (MNHN 2013-1246).
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.