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Figure 3 from: Pan Y, Hou M, Yu G, Liu S (2024) A new species of Zhangixalus (Anura, Rhacophoridae) from Yunnan, China. Zoosystematics and Evolution 100(1): 183-197. https://doi.org/10.3897/zse.100.113850
Figure 3 Scatterplot of principal components 1 and 2 of size-adjusted male morphometric data of Z. yunnanensis sp. nov., Z. nigropunctatus and Z. melanoleucus.
Figure 1 from: Pan Y, Hou M, Yu G, Liu S (2024) A new species of Zhangixalus (Anura, Rhacophoridae) from Yunnan, China. Zoosystematics and Evolution 100(1): 183-197. https://doi.org/10.3897/zse.100.113850
Figure 1 Known distribution sites of Zhangixalus yunnanensis sp. nov. in Yunnan, China. The red star represents the type locality of the new species. The map was generated using ArcMap v.10.2 (ESRI Inc.).
Figure 2 from: Pan Y, Hou M, Yu G, Liu S (2024) A new species of Zhangixalus (Anura, Rhacophoridae) from Yunnan, China. Zoosystematics and Evolution 100(1): 183-197. https://doi.org/10.3897/zse.100.113850
Figure 2 Bayesian phylogram of Zhangixalus inferred from mitochondrial 12S-tRNA-16S sequences. Numbers above and below branches are Bayesian posterior probabilities and ML bootstrap values (only values above 50% are shown), respectively.
Figure 2 from: Chen H, He YM, Wang CR, Pan D (2024) A new species of freshwater snail of Fenouilia (Gastropoda, Pomatiopsidae) from northern Guangxi, China, based on morphological and DNA evidence. ZooKeys 1196: 271-283. https://doi.org/10.3897/zookeys.1196.113856
Figure 2 Fenouilia undata sp. nov. shells and operculum A–D holotype, NNU230701 E–H paratype, NNU230702 I–L paratype, NNU230703 M paratype, NNU230704 N paratype, NNU230705 O, P operculum, holotype, NNU230701. Scale bars: 2 mm (A–N); 1 mm (O–P).
Figure 5 from: Chen H, He YM, Wang CR, Pan D (2024) A new species of freshwater snail of Fenouilia (Gastropoda, Pomatiopsidae) from northern Guangxi, China, based on morphological and DNA evidence. ZooKeys 1196: 271-283. https://doi.org/10.3897/zookeys.1196.113856
Figure 5 Fenouilia undata sp. nov. A color in life B natural habitat. Photographs by Xu Cheng Wei and Yue Ming He.
Figure 7 from: Chen H, He YM, Wang CR, Pan D (2024) A new species of freshwater snail of Fenouilia (Gastropoda, Pomatiopsidae) from northern Guangxi, China, based on morphological and DNA evidence. ZooKeys 1196: 271-283. https://doi.org/10.3897/zookeys.1196.113856
Figure 7 Maximum-likelihood (ML) tree inferred from concatenated 16S and COI gene sequences. Bootstrap supports are shown on the left of nodes on the tree.
Figure 4 from: Chen H, He YM, Wang CR, Pan D (2024) A new species of freshwater snail of Fenouilia (Gastropoda, Pomatiopsidae) from northern Guangxi, China, based on morphological and DNA evidence. ZooKeys 1196: 271-283. https://doi.org/10.3897/zookeys.1196.113856
Figure 4 Fenouilia undata sp. nov. A dissection with labelled structures of female B head of male. Abbreviations: e, eye; t, tentacle; sn, snout; f, foot; op, operculum; dg, digestive gland; int, intestine; pe, penis. Scale bars: 1 mm (A); 0,5 mm (B).
Figure 3 from: Chen H, He YM, Wang CR, Pan D (2024) A new species of freshwater snail of Fenouilia (Gastropoda, Pomatiopsidae) from northern Guangxi, China, based on morphological and DNA evidence. ZooKeys 1196: 271-283. https://doi.org/10.3897/zookeys.1196.113856
Figure 3 Radula of Fenouilia undata sp. nov. A frontal view of radula B, C magnified view of radula.
Figure 6 from: Chen H, He YM, Wang CR, Pan D (2024) A new species of freshwater snail of Fenouilia (Gastropoda, Pomatiopsidae) from northern Guangxi, China, based on morphological and DNA evidence. ZooKeys 1196: 271-283. https://doi.org/10.3897/zookeys.1196.113856
Figure 6 Bayesian-inference (BI) tree inferred from concatenated 16S and COI gene sequences. Posterior probabilities are shown on the left of nodes on the tree.
Figure 1 from: Chen H, He YM, Wang CR, Pan D (2024) A new species of freshwater snail of Fenouilia (Gastropoda, Pomatiopsidae) from northern Guangxi, China, based on morphological and DNA evidence. ZooKeys 1196: 271-283. https://doi.org/10.3897/zookeys.1196.113856
Figure 1 Known distribution of Fenouilia undata sp. nov. (Hechi City), and collection site (Longjiang River).
Spatiotemporal prediction of soil organic carbon density (SOCD) for pan-Europe (2000-2022) in 3D+T
<h2><strong>Sub-dataset: SOCD mean, 2000-2004</strong></h2> <h2>Disclaimer</h2> <p>This is the first release of pan-EU predictions of soil health indicators (the Soil Health Data Cube). Use for testing purposes only. A publication describing methods used has been submitted to PeerJ and is in review. Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Commision. Neither the European Union nor the granting authority can be held responsible for them. The data is provided "as is". AI4SoilHealth project consortium and its suppliers and licensors hereby disclaim all warranties of any kind, express or implied, including, without limitation, the warranties of merchantability, fitness for a particular purpose and non-infringement. Neither AI4SoilHealth project Consortium nor its suppliers and licensors, makes any warranty that the Website will be error free or that access thereto will be continuous or uninterrupted. You understand that you download from, or otherwise obtain content or services through, the Website at your own discretion and risk.</p> <h2>Description</h2> <p>This dataset covers pan-European areas, including Ukraine, the UK, and Turkey. This data cube could be used for applications such as soil property mapping and comprehensive soil health assessment across Europe. The dataset spans four depth ranges and multiple time periods, providing information for studies on soil organic carbon stock and dynamics.</p> <p>This dataset is part of the Spatiotemporal prediction of soil organic carbon density for Europe (2000-2022) in 3D+T dataset. Check the related identifiers section below to access other parts of the dataset.</p> <p>This data set includes:</p> <ul> <li><strong>Soil Organic Carbon Density (SOCD) (2000-2022, 4-year intervals):</strong><br>This data includes mean, p975, and p025 SOCD maps for four depth ranges (0-20cm, 20-50cm, 50-100cm, and 100-200cm) in kg/m<sup>3</sup> (scaled 10x).</li> <li><strong>Organic carbon content based on dry combustion weight percentage (WPCT) (2000-2022, 4-year intervals):</strong><br>This data includes mean, p975, and p025 WPCT maps for four depth ranges (0-20cm, 20-50cm, 50-100cm, and 100-200cm) in percentage.</li> </ul> <h3>Related identifiers</h3> <ul> <li><strong>SOCD mean:</strong><br><a href="https://zenodo.org/records/13754343">2000-2004</a> <a href="https://zenodo.org/records/13771721">2004-2008</a> <a href="https://zenodo.org/records/13771841">2008-2012</a> <a href="https://zenodo.org/records/13771911">2012-2016</a> <a href="https://zenodo.org/records/13771967">2016-2020</a> <a href="https://zenodo.org/records/13772054">2020-2022</a></li> <li><strong>SOCD p025:</strong><br><a href="https://zenodo.org/records/13779539">2000-2004</a> <a href="https://zenodo.org/records/13774064">2004-2008</a> <a href="https://zenodo.org/records/13774089">2008-2012</a> <a href="https://zenodo.org/records/13774114">2012-2016</a> <a href="https://zenodo.org/records/13774167">2016-2020</a> <a href="https://zenodo.org/records/13774196">2020-2022</a></li> <li><strong>SOCD p975:</strong><br><a href="https://zenodo.org/records/13778472">2000-2004</a> <a href="https://zenodo.org/records/13773396">2004-2008</a> <a href="https://zenodo.org/records/13773765">2008-2012</a> <a href="https://zenodo.org/records/13773828">2012-2016</a> <a href="https://zenodo.org/records/13773953">2016-2020</a> <a href="https://zenodo.org/records/13774003">2020-2022</a></li> </ul> <h3>Data Details</h3> <ul> <li><strong>Time period:</strong> 2000–2022, in 4-year intervals (last period covers 2020–2022).</li> <li><strong>Type of data:</strong> Spatiotemporal soil organic carbon data cube, with depth ranges and weighted percentage data for soil carbon assessments.</li> <li><strong>How the data was collected or derived:</strong> The data was derived using machine learning models.</li> <li><strong>Statistical methods used:</strong> Quantile Random Forest</li> <li><strong>Limitations or exclusions in the data:</strong> The dataset does not include data for Svalbard.</li> <li><strong>Coordinate reference system:</strong> EPSG:3035</li> <li><strong>Bounding box (Xmin, Ymin, Xmax, Ymax):</strong> (900,000, 899,000, 7,401,000, 5,501,000)</li> <li><strong>Spatial resolution:</strong> 30m</li> <li><strong>Image size:</strong> 216,700P x 153,400L</li> <li><strong>File format:</strong> Cloud Optimized Geotiff (COG) format.</li> </ul> <h3>Support</h3> <p>If you discover a bug, artifact, or inconsistency, or if you have a question please raise a GitHub issue: GitLab Issues (tbc)</p> <h3>Name convention</h3> <p>To ensure consistency and ease of use across and within the projects, we follow the standard Ai4SoilHealth and Open-Earth-Monitor file-naming convention. The convention works with 10 fields that describe important properties of the data. In this way users can search files, prepare data analysis etc, without needing to open files. The fields are:</p> <ol> <li><strong>generic variable name:</strong> oc = organic carbon</li> <li><strong>variable procedure combination:</strong> iso.10694.1995.mg.cm3 = ISO method 10694:1995, with values in mg/cm<sup>3</sup> for SOCD | iso.10694.1995.wpct = ISO method 10694:1995, with values in weighted percentage of organic carbon content.</li> <li><strong>Position in the probability distribution/variable type:</strong> m = mean | p975 = percentile 97.5 | p025 = percentile 2.5</li> <li><strong>Spatial support:</strong> 30m</li> <li><strong>Depth reference:</strong> b0cm..20cm = depth range from 0 to 20cm</li> <li><strong>Time reference begin time:</strong> 20000101 = 2000-01-01</li> <li><strong>Time reference end time:</strong> 20041231 = 2004-12-31</li> <li><strong>Bounding box:</strong> eu = pan-Europe</li> <li><strong>EPSG code:</strong> epsg.3035</li> <li><strong>Version code:</strong> v20240804 = version from 2024-08-04</li> </ol>
Vorlesung "Un-Menschliche Lebensformen" als podcast - Abschnitt RVL04: Funke und del Toro "Pans Labyrinth" als Roman
<p>Das Buch im Vergleich zum Film, Analyse des Anfangs und des Schlusses.</p> <p>Musik (royalty free): "Taiko Drums" <a href="https://youtu.be/M8VvZObWtZM">https://youtu.be/M8VvZObWtZM</a>; Kevin MacLeod "Spellbound" <a href="https://youtu.be/3TESYVp-WhY">https://youtu.be/3TESYVp-WhY</a></p>
Figure 4 from: Pan X-Y, Song Z-K, Qu Z, Liu T-D, Ma H-X (2022) Three new Xylaria species (Xylariaceae, Xylariales) on fallen leaves from Hainan Tropical Rainforest National Park. MycoKeys 86: 47-63. https://doi.org/10.3897/mycokeys.86.71623
Figure 4 Xylaria polysporicola (FCATAS 848, holotype) a, b stromata on leaves (b, FCATAS 851) c stromatal surface d section through stroma, showing perithecia e, g asci and ascal apical ring in Melzer's reagent f, i ascal apical ring in Melzer's reagent h asci in black India ink j ascospore with germ slit in 1% SDS k, l ascospore in water m, n ascospore showing a slimy sheath and non-cellular appendages in India ink (FCATAS 850) o Ascospore in 1% SDS. Scale bars: 1 cm (a, b); 0.2 mm (c, d); 10 µm (e–o).
Figure 3 from: Pan X-Y, Song Z-K, Qu Z, Liu T-D, Ma H-X (2022) Three new Xylaria species (Xylariaceae, Xylariales) on fallen leaves from Hainan Tropical Rainforest National Park. MycoKeys 86: 47-63. https://doi.org/10.3897/mycokeys.86.71623
Figure 3 Xylaria lindericola (FCATAS 852, holotype) a, b stromata on leaves c fertile part of stroma d stromatal surface e section through stroma, showing perithecia f ascal apical ring and ascospores with beaked ends in Melzer's reagent g ascus and ascal apical ring in Melzer's reagent h ascus in water i, j ascospores in water k, l ascospore in Melzer's reagent m ascospore in India ink n ascospore in 1% SDS showing germ slit. Scale bars: 1.5 cm (a, b); 0.2 mm (c–e); 10 µm (f–n).
Figure 1 from: Pan X-Y, Song Z-K, Qu Z, Liu T-D, Ma H-X (2022) Three new Xylaria species (Xylariaceae, Xylariales) on fallen leaves from Hainan Tropical Rainforest National Park. MycoKeys 86: 47-63. https://doi.org/10.3897/mycokeys.86.71623
Figure 1 Phylogenetic tree of Xylaria based on multigene alignment of ITS-TUB-RPB2 in the Bayesian analysis. Bayesian posterior probabilities (≥ 0.95, before the slash markers) and RaxML bootstrap values (≥ 50, after the slash markers) are shown. Different clades are indicated as coloured blocks.
Figure 2 from: Pan X-Y, Song Z-K, Qu Z, Liu T-D, Ma H-X (2022) Three new Xylaria species (Xylariaceae, Xylariales) on fallen leaves from Hainan Tropical Rainforest National Park. MycoKeys 86: 47-63. https://doi.org/10.3897/mycokeys.86.71623
Figure 2 Xylaria hedyosmicola (FCATAS 856, holotype) a, b, e stromata on leaves (b, FCATAS 857) c stromatal surface d section through stroma, showing a perithecium f immature asci in water g, h ascal apical ring in Melzer's reagent i, j ascospores in Melzer's reagent k ascus in 1% SDS l, m asci and ascal apical ring in Melzer's reagent n ascospore in Melzer's reagent showing straight germ slit o ascospore in Melzer's reagent showing slightly sigmoid germ slit p, q ascospore showing a slimy sheath and non-cellular appendages in India ink. Scale bars: 1 cm (a, b); 0.1 mm (c, d); 0.5 mm (e); 20 µm (f, m); 10 µm (g–l, n–q).
Figure 6 from: Pan Y, Yu Z, Yuan X (2022) Ultrastructure of androconia and surrounding scales of nine species of Hesperiidae (Lepidoptera). ZooKeys 1084: 65-81. https://doi.org/10.3897/zookeys.1084.78883
Figure 6 Ultrastructure of scales in and around the scent glands patches of A. virgataA Scent glands patches B Scales (androconia) in the scent glands patches C Ultrastructure of the androconium D Type 1 scales around the scent glands patches E Ultrastructure of type 1 scale around the scent glands patches F Type 2 scales around the scent glands patches G Ultrastructure of type 2 scale around the scent glands patches.
Figure 9 from: Pan Y, Yu Z, Yuan X (2022) Ultrastructure of androconia and surrounding scales of nine species of Hesperiidae (Lepidoptera). ZooKeys 1084: 65-81. https://doi.org/10.3897/zookeys.1084.78883
Figure 9 Ultrastructure of scales in and around the scent glands patches of T. colonA Scent glands patches B Scales in the scent glands patches (S1: The first scale (androconium); S2: The second scale) C Ultrastructure of the first scale D Ultrastructure of the second scale E Scales around the scent glands patches F Ultrastructure of the scale around the scent glands patches.
Figure 5 from: Pan Y, Yu Z, Yuan X (2022) Ultrastructure of androconia and surrounding scales of nine species of Hesperiidae (Lepidoptera). ZooKeys 1084: 65-81. https://doi.org/10.3897/zookeys.1084.78883
Figure 5 Ultrastructure of scales in and around the scent glands patches of E. montanusA Scent glands patches B and C Scales in the scent glands patches (S1: The first scale; S2: The second scale; S3: The third scale) D The second scale E The third scale F Type 1 scales around the scent glands patches G Ultrastructure of type 1 scale around the scent glands patches H Type 2 scales around the scent glands patches I Ultrastructure of type 2 scale around the scent glands patches J Type 3 scales around the scent glands patches K Ultrastructure of type 3 scale around the scent glands patches.
Figure 1 from: Pan Y, Yu Z, Yuan X (2022) Ultrastructure of androconia and surrounding scales of nine species of Hesperiidae (Lepidoptera). ZooKeys 1084: 65-81. https://doi.org/10.3897/zookeys.1084.78883
Figure 1 Ultrastructure of scales in and around the scent glands patches of B. striataA Scent glands patches B Scales in the scent glands patches (S1: The first scale; S2: The second scale) C Ultrastructure of the first scale D Ultrastructure of the second scale E Scales around the scent glands patches (S3: The third scale; S4: The fourth scale) F Ultrastructure of the third scale G Ultrastructure of the fourth scale.
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.