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Рис. 26. Сравнение среΑних значений частоты изменчивости эΛементов рисунка и инΑекса пигментации Mesobuthus eupeus в посеΛениях из разнотипных (А) и оΑнотипных (В) биотопов в кажΑой из выборок: I – Северо-ЗапаΑный Гобустан; II – Северо-Восточный Гобустан; III – ЦентраΛьный Гобустан; IV – Юго-Восточный Гобустан; V – Юго-Восточный Ширван. ИнΑекс корреΛяции r в преΑеΛах 0.744–0.989; p <0.05. Fig. 26. Comparison of the average values of the frequency of variability of pattern elements and the pigmentation index of Mesobuthus eupeus in conglomerations from habitats of different types (A) and of the same type (B) in each sample: I – northwestern Gobustan; II – northeastern Gobustan; III – central Gobustan; IV – southeastern Gobustan; V – southeastern Shirvan. Correlation index r = 0.744–0.989; p <0.05. in Materials on the colour pattern variability of Mesobuthus eupeus (C.L. Koch, 1839) (Arachnida: Scorpiones) in southeastern Shirvan and Gobustan (Eastern Azerbaijan)
Рис. 26. Сравнение среΑних значений частоты изменчивости эΛементов рисунка и инΑекса пигментации Mesobuthus eupeus в посеΛениях из разнотипных (А) и оΑнотипных (В) биотопов в кажΑой из выборок: I – Северо-ЗапаΑный Гобустан; II – Северо-Восточный Гобустан; III – ЦентраΛьный Гобустан; IV – Юго-Восточный Гобустан; V – Юго-Восточный Ширван. ИнΑекс корреΛяции r в преΑеΛах 0.744–0.989; p <0.05. Fig. 26. Comparison of the average values of the frequency of variability of pattern elements and the pigmentation index of Mesobuthus eupeus in conglomerations from habitats of different types (A) and of the same type (B) in each sample: I – northwestern Gobustan; II – northeastern Gobustan; III – central Gobustan; IV – southeastern Gobustan; V – southeastern Shirvan. Correlation index r = 0.744–0.989; p <0.05.
Raw P-SHG data and processing codes for Raoux et al, Light Science and Applications 2023
<p><strong>Raw P-SHG data and processing codes</strong> for Raoux et al, Light Science and Applications 2023</p> <p>Article DOI: 10.1038/s41377-023-01224-0</p> <p>Raw P-SHG data: 10 human corneas</p> <p>Important: crop 20 pixels on left and right sides of all images to remove scanning artefacts and obtain 250 x 250 images</p> <p>voxel size: 1 µm in all directions<br> Channel 0: trans-2PEF<br> Channel 1: epi-2PEF<br> Channel 2: epi-SHG<br> Channel 3: trans-SHG</p>
Dissolved C, N, and P release efficiency from temperate tree leaf litter
<p><span>Dissolved organic matter and inorganic nutrients released from forest leaf litter through leaching are important energy and nutrient sources that support the production of aquatic food webs. Leaf litter-derived dissolved organic carbon (DOC) is a critical energy source for aquatic heterotrophic microbes, and inorganic nitrogen and phosphorus can enhance primary production. In this study, we experimentally measured the release efficiencies and amounts of DOC, total dissolved nitrogen (TDN) and total dissolved phosphorus (TDP) of the leaf litter from 11 temperate tree species by soaking the leaf litter in water for 28 days. We found that the maximal release efficiency (% of element released per estimated mass of the element) was the highest for P and lowest for N. These efficiencies were species-specific. Additionally, the DOC:TDP, DOC:TDN, and TDN:TDP ratios varied among the leachate of different leaf litter species. DOC:TDP increased with the C:P ratio in leaf litter biomass but is considerably lower; TDN:TDP was lower than the N:P ratio in leaf litter biomass as well; DOC:TDN ratio was higher than the C:N ratio in leaf litter biomass. These results suggest that the ratios of DOC to dissolved N and P nutrients released into water are related to, but not the same as, the stoichiometry of leaf litter biomass. Based on these findings, we concluded that changes in the vegetation with different leaf litter stoichiometry can alter the relative importance of detrital and grazing food chains in aquatic ecosystems.</span></p>
Supplementary Data and Codes for "Exclusive seismoacoustic detection and characterisation of an unseen and unheard fireball in the North Atlantic" by Stephen P. Hicks and Sandro B. Matos, et al.
<p>Supplementary Dataset containing windowed seismic traces for the 29 June 2022 fireball event near the Azores in the North Atlantic, as studied in the manuscript entitled, "Exclusive seismoacoustic detection and characterisation of an unseen and unheard fireball in the North Atlantic" by Stephen P. Hicks and Sandro B. Matos, et al.</p> <p>A Python Jupyter Notebook is also provided that reproduces the main figures of the paper.</p>
IODP Expedition 382 P-wave velocity logger (whole round)
<p>P-wave velocity data were measured on whole-round sections on the Whole-Round Multisensor Logger (WRMSL) using pairs of piezoelectric transducers mounted on a caliper system. Measurements may be affected by degassing of pore fluid and microfracturing during core recovery. Report includes P-wave velocity in x-y plane and distance and traveltime between transducers.</p>
IODP Expedition 382 P-wave velocity caliper (section/discrete)
<p>P-wave velocity data were measured on undisturbed section halves (JRSO-defined x-axis) and/or discrete cube and cylinder samples (x, y, or z-axis) using pairs of piezoelectric transducers mounted on a caliper system. Report includes P-wave velocity in x, y, and/or z-direction, caliper separation, traveltime between transucers, and first arrival picks.</p>
IODP Expedition 392 P-wave velocity logger (whole round)
<p>P-wave velocity data were measured on whole-round sections on the Whole-Round Multisensor Logger (WRMSL) using pairs of piezoelectric transducers mounted on a caliper system. Measurements may be affected by degassing of pore fluid and microfracturing during core recovery. Report includes P-wave velocity in x-y plane and distance and traveltime between transducers.</p>
IODP Expedition 392 Portable X-ray fluorescence (p-XRF)
<p>Energy-Dispersive X-Ray Fluorescence (ED-XRF) is a rapid, non-destructive technique for determining qualitative and quantitative changes in chemical composition. Aboard the JOIDES Resolution, pXRF is used for measuring points on section halves, rock pieces, and sometimes powders. Spots are typically irradiated at multiple conditions to excite and measure a wide range of elements. The peak intensity changes (we do not provide concentrations) are then used to help recognize and define major chemo-stratigraphic units without the need for destructive sampling.</p>
IODP Expedition 392 P-wave velocity caliper (section/discrete)
<p>P-wave velocity data were measured on undisturbed section halves (JRSO-defined x-axis) and/or discrete cube and cylinder samples (x, y, or z-axis) using pairs of piezoelectric transducers mounted on a caliper system. Report includes P-wave velocity in x, y, and/or z-direction, caliper separation, traveltime between transucers, and first arrival picks.</p>
NPL P-AMS testing dataset
<p>Dataset from parallel tests of four pairs of different P-AMS instruments measuring low concentrations (<10 mg.m-3) of HCl in the NPL Stack Simulator facility. Measurements were made in June 2021. More details on the Metadata tab in the file.</p>
Fig. 3 in Detection of Prorocentrum shikokuense in the Mediterranean Sea and evidence that P. dentatum, P. obtusidens and P. shikokuense are three different species (Prorocentrales, Dinophyceae)
Fig. 3. Phylogenetic tree based on D1/D2 LSU rRNA gene sequences, showing the position of the sequence of Prorocentrum shikokuense by Maximum Likelihood (ML). Numbers near branches denote ML bootstrap (BS) and Bayesian posterior probability (PP) values. BS and PP values <70 and 0.8, respectively, are not shown.
Fig. 5. A in Detection of Prorocentrum shikokuense in the Mediterranean Sea and evidence that P. dentatum, P. obtusidens and P. shikokuense are three different species (Prorocentrales, Dinophyceae)
Fig. 5. A comparison of the line drawings in Stein (1883) and micrographs of Tripos eugrammus (A) and Dinophysis tripos (B). The arrows point the Stein's drawing style with acuter appendices than in the real morphology of the cells.
Fig. 2 in Detection of Prorocentrum shikokuense in the Mediterranean Sea and evidence that P. dentatum, P. obtusidens and P. shikokuense are three different species (Prorocentrales, Dinophyceae)
Fig. 2. Phylogenetic tree based on SSU rRNA gene sequences, showing the position of the sequence of Prorocentrum shikokuense by Maximum Likelihood (ML). Numbers near branches denote ML bootstrap (BS) and Bayesian posterior probability (PP) values. BS and PP values <70 and 0.8, respectively, are not shown.
Fig. 4 in Detection of Prorocentrum shikokuense in the Mediterranean Sea and evidence that P. dentatum, P. obtusidens and P. shikokuense are three different species (Prorocentrales, Dinophyceae)
Fig. 4. Phylogenetic tree based on ITS rRNA gene sequences, showing the position of the sequence of Prorocentrum shikokuense by Maximum Likelihood (ML). Numbers near branches denote ML bootstrap (BS) and Bayesian posterior probability (PP) values. BS and PP values <70 and 0.8, respectively, are not shown.
Figs 11- 16. Pycnomerinx male genitalia aspects. 11- 13. P in Afrotropical Asilidae (Diptera) 20. The genus Pycnomerinx Hull, 1962 (Stenopogoninae)
Figs 11- 16. Pycnomerinx male genitalia aspects. 11- 13. P. cogani Oldroyd (10 mls NE of Ghanzi). 11. Lateral. 12. Dorsal. 13. Ventral. 14- 16. P. gweta Oldroyd (2 mls NE Sehithwa). 14. Lateral. 15. Dorsal. 16. Ventral. Scale line = 1 mm.
Data, code, and supplementary materials for Pearman P. B., Broennimann, O., et al. Monitoring species genetic diversity in Europe varies greatly and overlooks potential climate change impacts. Nature Ecology & Evolution
<p>The repository contains several archives of digital materials that were used and/or produced in the analyses presented in Pearman, P. B. and Broennimann et al. Monitoring species genetic diversity in Europe varies greatly and overlooks potential climate change impacts. <strong>Nature Ecology & Evolution</strong>, likely 2023. These archives include (1) Supplementary Materials files ; (2) Data and code to generate country-level maps and plots; and (3) data and code to generate all maps of species and joint climate niche marginality, all in G-zipped tar archives. Readme files are available in each archive to guide running of the scripts and identification of objects in the Supplementary Materials. Please see the paper for all co-authors names, and the methods, the results obtained, and discussion of their implications.</p> <p>This work is dedicated to the memory of our friend and colleague Michael Bruford (1963-2023).</p>
Figure 6 in A new species and new records of goatfishes of the genus Parupeneus (Mullidae) from the Indian Ocean, with updated occurrence information for P. jansenii in the Western Pacific
Figure 6. – Standard length against four morphometric characters, head length against anal-fin spine height, and total number of gill rakers against caudal-peduncle length in Parupeneus jansenii vs. P. nansen. In P. jansenii the two size groups are distinguished.
Figure 7 in Physiculus sudanensis Paulin, 1989, a junior synonym of P. dalwigki Kaup, 1858 (Teleostei, Gadiformes, Moridae), with a redescription of P. dalwigki
Figure 7. – Ventral light organ of Physiculus dalwigki. A: Holotype (MNHN 1996-1380); B: Holotype of Physiculus suda�e�sis (MNHN 1886-572). Scale bar = 10 mm.
Figure 6 in Physiculus sudanensis Paulin, 1989, a junior synonym of P. dalwigki Kaup, 1858 (Teleostei, Gadiformes, Moridae), with a redescription of P. dalwigki
Figure 6. – Gill rakers on first gill arch of Physiculus dalwigki (MMF 39704, 232 mm SL). Same number and shape as in holotype.
Figure 2 in A new species and new records of goatfishes of the genus Parupeneus (Mullidae) from the Indian Ocean, with updated occurrence information for P. jansenii in the Western Pacific
Figure 2. – Standard length against total length in Parupeneus jansenii; greydotted lines: reference lines for TL and the determined SL for the Myanmar specimen; black dashed lines: reference lines for delimitation of small- and large-sized fish
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.