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FIGURE 4 in Neotropical Blepolenis butterflies: wing pattern elements, phylogeny, and Pleistocene diversification (Lepidoptera, Nymphalidae)
FIGURE 4. Identification of dorsal (grey letters overlaying photographs) and ventral (color coded on separate diagrams) wing pattern elements for four brassoline species. The phylogeny on the left is based on Penz (2007) and results of this study, with Opsiphanes left unresolved. A, Mielkella singularis male; Mexico, Chiapas. B, Orobrassolis ornamentalis male; Brazil, São Paulo, Umuarama [Campos do Jordão]. C, Blepolenis bassus male; Brazil [no other data]. D, Opsiphanes sallei male; Peru, Huanoabamba.
FIGURE 1 in Neotropical Blepolenis butterflies: wing pattern elements, phylogeny, and Pleistocene diversification (Lepidoptera, Nymphalidae)
FIGURE 1. Adult Blepolenis butterflies of both sexes in dorsal (D) and ventral (V) views, including dissection or collection numbers as listed in Appendix 1. A, Blepolenis bassus male D&V, Brazil, 08-41. B, B. bassus female D&V, São Bento [do Sul], [Rio Grande do Sul], 01-32. C, B. bassus female D, Campos do Jordão-Lagoinha, [São Paulo] MZSP 13714. D, B. bassus male D, Murtinho, E. Parana, MZSP 13711. E, B. batea male D&V, Santa Catarina, 08-38. F, B. batea female D&V, Santa Catarina. G, B. batea male D&V, Itatiba, São Paulo, MZSP 13719. H, B. batea male D, Pelotas, Rio Grande do Sul, 06-15. I, B. batea male D, Porto Alegre, MZSP 13709. J, B. batea male D, S. Paulo, 09-04, MZSP 13718. K, B. batea male D, Nova Friburgo, Rio de Janeiro, 01-33. L, B. catharinae male D, no locality, specimen from the Fruhstorfer Collection, B.M.[N.H.] 1937-285. M, B. catharinae male D&V, Florianópolis, Santa Catarina. N, B. catharinae female D&V, Florianópolis, Santa Catarina. O, B. catharinae male D, no locality, 09-15, MZSP 13710. P, B. catharinae male V, Florianópolis, Santa Catarina.
FIGURE 2 in Neotropical Blepolenis butterflies: wing pattern elements, phylogeny, and Pleistocene diversification (Lepidoptera, Nymphalidae)
FIGURE 2. Blepolenis male and female genitalia, including dissection numbers as listed in Appendix 1. Male genitalia is illustrated in lateral and ventral views (setae omitted from right side of figure to emphasize the shape), an outline of the tegumen is given in dorsal view, and outlines of the distal portion of the valva in lateral view show the variation in the dorsal, subterminal spines. The ventral view of female sterigma includes most, but not all the length of the lateral arms. All drawings in the same scale except for corpus bursa; scale bars 1 mm, appearing under A and C. A, Blepolenis bassus male, Murtinho, Paraná, 09-14. B, B. bassus male valvae, top figure is the left valva of the specimen in A; bottom left, Brazil, 01-31; bottom right, Brazil, 08- 41. C, B. bassus female (the irregular signa are an artifact of preparation), São Bento [do Sul], [Rio Grande do Sul], 01-32. D, B. batea male, Serra do Caraça, Minas Gerais, 09-05. E, B. batea male valvae, top to bottom, left to right: Nova Friburgo, Rio de Janeiro, 01-33; S. Paulo, 09-04; Pelotas, Rio Grande do Sul, 06-15; Nova Teutônia, Santa Catarina, 08-42. F, B. batea female, Santa Catarina, 06-16. G, B. catharinae male, Lagoa do Peri, Florianópolis, Santa Catarina, 09-01. H, no data, 09-15. I, Lagoa do Peri, Florianópolis, Santa Catarina, 09-02.
FIGURE 5 in Neotropical Blepolenis butterflies: wing pattern elements, phylogeny, and Pleistocene diversification (Lepidoptera, Nymphalidae)
FIGURE 5. Diagram of the wing venation of Opsiphanes and Blepolenis. A, O. cassiae cassia (Linnaeus) male, annotated from Stichel (1909) showing terminology in German used by workers of that time, including the original description of Blepolenis by Röber (1906). B, B. batea male, vein thickness not to scale, labeled using the Comstock-Needham terminology. Scale bar refers to B only.
FIGURE 3 in Neotropical Blepolenis butterflies: wing pattern elements, phylogeny, and Pleistocene diversification (Lepidoptera, Nymphalidae)
FIGURE 3. Bayesian inference of phylogeny and times of divergence. Numbers above branches are posterior probabilities of the nodes to the right of the number (see Methods), and selected color and morphological character changes are listed below branches (see text for description). Time periods are given above (epoch names) and below (millions of years) the phylogeny. The grey bars overlapping with tree branches represent confidence intervals for estimated divergence times.
FIGURES 3–12 in Six new species of Paraleia Tonnoir (Diptera, Mycetophilidae): amphinotic elements at the northern range of the Andes
FIGURES 3–12. Wings of Paraleia. 3. Paraleia bolivari sp. n., male paratype. 4. Paraleia bolivari sp. n., female paratype. 5. Paraleia fumosa sp. n., male paratype. 6. Paraleia fumosa sp. n., female paratype. 7. Paraleia denticulata sp. n., male paratype. 8. Paraleia denticulata sp. n., female paratype. 9. Paraleia tonnoiri sp. n., male holotype. 10. Paraleia nidorosa sp. n., female holotype. 11. Paraleia sharkeyi sp. n., female paratype. 12. Paraleia sp., female paratype. Scale 0.5 mm.
FIGURE 2 in Six new species of Paraleia Tonnoir (Diptera, Mycetophilidae): amphinotic elements at the northern range of the Andes
FIGURE 2. Lateral view of head, thorax and first abdominal segment. Male paratype of Paraleia bolivari sp. n. Scale 1 mm.
FIGURE 3 in Revision of genus Texoreddellia Wygodzinsky, 1973 (Hexapoda, Zygentoma, Nicoletiidae), a prominent element of the cave-adapted fauna of Texas
FIGURE 3. Parsimony bootstrap consensus tree. Texoreddellia capitesquameo from Phantom Lake Cave (Clade 4, Group 8) as outgroup is not shown. Branches where more than one cave locality are included indicate that they had identical DNA sequences in their 16S rRNA. Individuals within each of the seven groups are concordant to a particular morphology.
FIGURE 1 in Revision of genus Texoreddellia Wygodzinsky, 1973 (Hexapoda, Zygentoma, Nicoletiidae), a prominent element of the cave-adapted fauna of Texas
FIGURE 1. Live specimen of Texoreddellia sp. Body length 12 mm. Photograph reproduced with permission of William R. Elliot.
FIGURE 4 in Revision of genus Texoreddellia Wygodzinsky, 1973 (Hexapoda, Zygentoma, Nicoletiidae), a prominent element of the cave-adapted fauna of Texas
FIGURE 4. Known geographic ranges of Texoreddellia spp. by county. a) T. capitesquameo; b) T. occasus; c) T. coahuilensis; d) T. media; e) T. aquilonalis; f) T. texensis. Areas shaded in black are counties in which DNA sequencing confirmed species identification. Areas shaded in gray are counties in which species identity has been determined solely through morphological analysis.
FIGURE 2 in Revision of genus Texoreddellia Wygodzinsky, 1973 (Hexapoda, Zygentoma, Nicoletiidae), a prominent element of the cave-adapted fauna of Texas
FIGURE 2. Live specimen of T. capitesquameo from Phantom Lake Cave. DNA sequence confirmed that the western species are phylogenetically the sister species of the Eastern groups and the most basal clades within the Taxoreddellia species. Photograph reproduced with permission of Dr. Jean K. Krejca, Zara Environmental LLC.
Manually Curated Library of Transposable Elements (TEs) and TE Annotations for Drosophila amaguana
<p>This data collection provides a manually curated library of transposable elements (TEs) for <em>Drosophila amaguana</em>, including consensus sequences, genome-wide TE annotations, and individual TE copy sequences. The library was built using <em>de novo</em> generated by EDTA (Extensive <em>de novo</em> TE Annotator) and RepeatModeler, curated with MCHelper, and further processed for genome annotation using RepeatMasker and OneCodeToFindThemAll. </p> <p>Below is a description of the included files:</p> <ul> <li><strong><code>Dama_curated_TE_library.fasta</code>:</strong> Contains 737 consensus TE sequences manually curated for <em>D. amaguana</em>. Sequence identifiers include classification and origin (e.g., new families or similarity to known elements). The identifier for each sequence in the FASTA file includes information about its classification:<br><br> <ul> <li><strong>For sequences corresponding to potentially new families</strong>: The identifier consists of a three-letter abbreviation for <em>D. amaguana</em> (Dama), followed by the new family identifier and the superfamily name, all separated by underscores. <em>Example: </em>Dama_NF_BELPAO_1.</li> <li><strong>For consensus sequences that show similarity to TE sequences previously reported in other species</strong>: The identifier includes the abbreviation Dama, followed by the superfamily name and an abbreviation for the species in which the TE was previously reported, all separated by underscores. Example: Dama_Helitron-1_DVir.<br><br></li> </ul> </li> <li><strong><code>Dama_TE_annotations.out</code>:</strong> Genome-wide annotation file of TE insertions produced with RepeatMasker and post-processed using OneCodeToFindThemAll to merge fragmented elements.</li> <li><strong><code>Dama_TE_copies.fasta</code>: </strong>FASTA file containing the extracted sequences of all annotated TE copies from the <em>D. amaguana</em> genome.</li> <li><strong><code>TEcopies_sequences.sh</code>:</strong> Shell script used to extract TE copy sequences from the genome using the annotation coordinates.</li> <li><strong><code>Dynamics_Dama.ipynb</code>: </strong>Jupyter Notebook for the analysis of transposable element (TE) dynamics in<strong> </strong><em>D. amaguana.</em></li> </ul>
Crack width and crack spacing in reinforced and prestressed concrete elements: database
<p>This database contains information on 31 experimental programs performed by various researchers. Each experimental program contains structural elements in which the crack width and spacing were measured. The database contains over twenty thousand data points and consists of three levels:</p> <ul> <li>Level 1: Describes the considered experimental program.</li> <li>Level 2: Describes properties of structural elements and material specimens within an experimental program.</li> <li>Level 3: Describes the loads and data points.</li> </ul> <p>The master database is queried in SQL and published as a .xlsx file. The structure of the dataset is explained in the README.</p> <p> </p>
Supplementary tables for the article "LIBS and XRF for the elemental analysis of aquatic organisms"
<p>Supplementary tables with full analytical results (Russian and English versions)</p>
FIGURE 8. Caudal fin elements from third pre-ural centrum. A. Archamia bleekeri, USNM 356291, 37.6 in A new genus of cardinalfish (Apogonidae: Percomorpha), redescription of Archamia and resemblances and relationships with Kurtus (Kurtidae: Percomorpha)
FIGURE 8. Caudal fin elements from third pre-ural centrum. A. Archamia bleekeri, USNM 356291, 37.6 mm SL. B. Taeniamia leai, USNM 306823, 55.0 mm SL, only cleared and stained. C. Kurtus indicus, USNM 267150, 63.0 mm SL. D. Kurtus gulliveri, USNM 217309, ~50 mm SL. Numbers refer to upper and lower procurrent (5–14) and principle caudal-fin rays (8–9). terminal centrum = ct, epural = e, = hypural = h, neural crest = nc, = neural spine = ns, parhypural = p, preural centrum = pu, urostylar sheath = us = paired uroneurals = u, fused elements = +, paired uroneurals in solid black, cartilage in gray. Scale = 1 mm.
Distribution maps of Biosphere and Cryosphere tipping elements
<p>This dataset contains a collection of sources that mark the geographical areas of regions/elements/biomes of the Biosphere and the Cryosphere identified as tipping elements on various temporal and spatial scales by the Global Tipping Points Report 2023 (https://global-tipping-points.org) based on:<br>- Armstrong McKay, Sakschewski, Roman-Cuesta et al., In prep.<br>- Winkelmann, Steinert, Armstrong McKay et al., In prep.</p><p>Below you find the data sources for the collection of this dataset. Note that the biosphere data sources provide more biomes than listed here, as only those identified as tipping element are selected here. For the full datasets, including non-tipping biomes, please refer to the original sources listed below.<br> </p><p>BIOSPHERE:</p><p>1. Ecoregions 2017 biomes: https://ecoregions.appspot.com</p><p>Note that only the following biomes were selected: "Tundra", "Tropical & Subtropical Moist Broadleaf Forests","Tropical & Subtropical Coniferous Forests", "Tropical & Subtropical Dry Broadleaf Forests", "Boreal Forests/Taiga", "Temperate Broadleaf & Mixed Forests","Temperate Conifer Forests", "Temperate Grasslands, Savannas & Shrublands","Tropical & Subtropical Grasslands, Savannas & Shrublands","Flooded Grasslands & Savannas","Montane Grasslands & Shrublands", "Deserts & Xeric Shrublands","Mediterranean Forests, Woodlands & Scrub", "Mangroves".</p><p>2. Keith, David A., Ferrer-Paris, Jose R., Nicholson, Emily, ..., Kingsford, Richard T. (2020). Indicative distribution maps for Ecological Functional Groups - Level 3 of IUCN Global Ecosystem Typology [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3546513; <br>and Keith et al. 2022: https://www.nature.com/articles/s41586-022-05318-4</p><p>Note that only the following biomes were selected: "F2_1_Large_perm_lakes", "F2_2_Small_perm_lakes", "F2_4_Freeze-thaw_lakes", "F2_6_Perm_salt_lakes", "M1_1_Seagrass_meadows", "M1_2_Kelp_forests", "M1_3_Photic_coral_reefs", "M4_2_Marine_aquafarms", "M1_5_Marine_animal_forests".<br> </p><p>CRYOSPHERE:</p><p>1. Land permafrost: Obu, Jaroslav; Westermann, Sebastian; Kääb, Andreas; Bartsch, Annett (2018): Ground Temperature Map, 2000-2016, Northern Hemisphere Permafrost. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.888600</p><p>2. Subsea permafrost: Overduin, Pier Paul; Schneider von Deimling, Thomas; Miesner, Frederieke; Grigoriev, Mikhail N; Ruppel, Carolyn D; Vasiliev, Alexander; Lantuit, Hugues; Juhls, Bennet; Westermann, Sebastian; Laboor, Sebastian (2020): Submarine Permafrost Map (SuPerMAP), modeled with CryoGrid 2, Circum-Arctic. PANGAEA, https://doi.org/10.1594/PANGAEA.910540</p><p>3. Sea Ice: Keith, David A., Ferrer-Paris, Jose R., Nicholson, Emily, ..., Kingsford, Richard T. (2020). Indicative distribution maps for Ecological Functional Groups - Level 3 of IUCN Global Ecosystem Typology [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3546513; <br>and Keith et al. 2022: https://www.nature.com/articles/s41586-022-05318-4</p><p>4. Antarctica: Medium resolution vector polygons of the Antarctic coastline (2014) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/ed0a7b70-5adc-4c1e-8d8a-0bb5ee659d18</p><p>5. Greenland: Morlighem M. et al., (2017), BedMachine v3: Complete bed topography and ocean bathymetry mapping of Greenland from multi-beam echo sounding combined with mass conservation, Geophys. Res. Lett., 44, doi:10.1002/2017GL074954</p><p>6. Glaciers: RGI Consortium, . (2012). Randolph Glacier Inventory - A Dataset of Global Glacier Outlines, Version 2 [Data Set]. Boulder, Colorado USA. National Snow and Ice Data Center. https://doi.org/10.7265/cc6e-zp12.<br> </p><p>For any questions regarding the dataset, please free feel to contact Norman J. Steinert (nste@norceresearch.no, normanst@ucm.es)</p>
IODP Expedition 391 ICP-AES elemental analysis (interstitial water)
Elemental concentration in interstitial water samples was measured by inductively coupled plasma - atomic emission spectroscopy (ICP-AES). Data are presented by element-wavelength pair (e.g., more than one calcium line may be reported). Elemental lines for which data do not exist for a particular expedition will not appear.
Supplementary material 1 from: Jasso-Martínez JM, Brady SG, Kula RR (2023) Phylogenetic affinities of the non-cyclostome subfamilies Amicrocentrinae and Dirrhopinae (Hymenoptera, Braconidae) confirmed by ultraconserved element data. Journal of Hymenoptera Research 96: 1017-1030. https://doi.org/10.3897/jhr.96.111012
Maximum likelihood tree resulting from the 50% complete matrix without collapsed clades and with full names of the terminal taxa
Etruscan bronze tubular element
Etruscan bronze tubular element from the Necropoli del Poggione, Asciano, Tuscany. Bronze tubular element, probably used to pull a chariot carrying perfumes with a bird-shaped end. Orientalizing period, late 7th-early 6th century BCE. Tomb A, Necropolis of Poggione, Castelnuovo Berardenga. Displayed at the Civic Museum of Archaeology and Sacred Art at Palazzo Corboli, Asciano. Mangani 1988-1989. Processed in Reality Capture from 295 images. GDH ID No. C30_108882_a This project was done under the authority of the Soprintendenza Archeologia, belle arti e paesaggio per le province di Siena Grosseto e Arezzo in collaboration with Global Digital Heritage and the Municipality of Asciano. We thank all the staff from Palazzo Corboli for making the collection accessible and for providing an excellent work environment. Source: Objaverse 1.0 / Sketchfab
JNK Activation Correlates with Cognitive Impairment and Alteration of the Post-Synaptic Element in the 5xFAD AD Mouse Model
<p>The c-Jun N-terminal kinases (JNKs) are a family of proteins that, once activated by stress<br>stimuli, can alter neuronal functions and survival. The JNK cascade plays a crucial role in the<br>post-synaptic neuronal compartment by altering its structural organization and leading, at worst,<br>to an overall impairment of neuronal communication. Increasing evidence suggests that synaptic<br>impairment is the first neurodegenerative event in Alzheimer’s disease (AD). To better elucidate this<br>mechanism, we longitudinally studied 5xFAD mice at three selected time points representative of<br>human AD symptom progression. We tested the mice cognitive performance by using the radial<br>arm water maze (RAWM) in parallel with biochemical evaluations of post-synaptic enriched protein<br>fraction and total cortical parenchyma. We found that 5xFAD mice presented a strong JNK activation<br>at 3.5 months of age in the post-synaptic enriched protein fraction. This JNK activation correlates<br>with a structural alteration of the post-synaptic density area and with memory impairment at this<br>early stage of the disease that progressively declines to cause cell death. These findings pave the way<br>for future studies on JNK as a key player in early neurodegeneration and as an important therapeutic<br>target for the development of new compounds able to tackle synaptic impairment in the early phase<br>of AD pathology</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
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.