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Fig. 14 in Review of the genus Acanthophorella Antić & Makarov, 2016 (Diplopoda, Chordeumatida, Anthroleucosomatidae), with descriptions of three new species from the Caucasus
Fig. 14. Acanthophorella valerii Antić sp. nov. A–F. Paratype, ♂ (IZB). G–I. Paratype, ♀ (IZB). A. Anterior gonopods, anterior view. B. Anterior gonopods, posterodistal view. C. Anterior gonopods, left tuft, posterodistal view. D. Anterior gonopods, lateral view. E. Anterior gonopods, distal view. F. Anterior gonopods, laterodistal view. G. Vulvae, distal view. H. Left vulvae, lateral view. I. Left vulvae, anterior view. Abbreviations: a = angiocoxite; ap = anterior process; b = bursa; cv = syncoxal vesicle; ll = lateral lamella; mp = medial part; o = operculum; s = sternum; sa = synangiocoxal base; sl = sternal lamella; tf = angiocoxal tuft. Scale bars: A–B, D–I = 0.1 mm; C = 0.02 mm.
Fig. 13 in Review of the genus Acanthophorella Antić & Makarov, 2016 (Diplopoda, Chordeumatida, Anthroleucosomatidae), with descriptions of three new species from the Caucasus
Fig. 13. Acanthophorella valerii Antić sp. nov. A. Paratype, ♀ (IZB). B–F. Paratype, ♂ (IZB). A. Legpair 2, anterior view. B. Leg-pair 2, posterior view. C. Leg-pair 7, posterior view. D. Leg-pair 10, anterior view. E. Anterior gonopods, anterior view. F. Posterior gonopods, posterior view. Scale bars = 0.2 mm.
Fig. 12 in Review of the genus Acanthophorella Antić & Makarov, 2016 (Diplopoda, Chordeumatida, Anthroleucosomatidae), with descriptions of three new species from the Caucasus
Fig. 12. Acanthophorella valerii Antić sp. nov., paratype, ♂ (IZB). A. Labrum, anterior view. B. Left field with ommatidia and organ of Tömösvary, lateral view. C. Left antennomere 7, showing bacilliform sensillum. D. Left field with ommatidia, anterior view. E. Ring 15, dorsal view. F. Right interior macrochaeta of ring 15, dorsal view. G. Rings 14–16, dorsolateral view. H. Rings 14 and 15, anterior view. Scale bars: A–B, F = 0.1 mm; C–D = 0.01 mm; E = 0.2 mm; G, H = 0.5 mm.
Fig. 17 in Review of the genus Acanthophorella Antić & Makarov, 2016 (Diplopoda, Chordeumatida, Anthroleucosomatidae), with descriptions of three new species from the Caucasus
Fig. 17. Acanthophorella barjadzei Antić & Makarov, 2016. A. ♂ from Nikortsminda Sakinule Cave, habitus, lateral view (NHMW MY10367). B. ♀ from Nikortsminda Sakinule Cave, head, lateral view (NHMW MY10367). C. ♂ from Muradi Cave, midbody rings, dorsal view (IZB). D. Subadult ♀ from Muradi Cave, head, lateral view (IZISU). E. ♂ from Muradi Cave, midbody rings, lateral view (IZB). Scale bars: A–C, E = 1 mm; D = 0.5 mm.
Fig. 11 in Review of the genus Acanthophorella Antić & Makarov, 2016 (Diplopoda, Chordeumatida, Anthroleucosomatidae), with descriptions of three new species from the Caucasus
Fig. 11. Acanthophorella valerii Antić sp. nov. A, C, E, F. Holotype, ♂ (NHMW MY10366). B. Paratype, ♀ (IZB). D. Paratype, ♂ (IZB). A. Habitus, lateral view. B. Head, lateral view. C. Head, lateral view. D. Anterior part of the body, anterior and ventral view. E. Midbody rings, lateral view. F. Rings 15 and 16, dorsal view. Scale bars: A, D–F = 1 mm; B–C = 0.5 mm.
Fig. 10 in Review of the genus Acanthophorella Antić & Makarov, 2016 (Diplopoda, Chordeumatida, Anthroleucosomatidae), with descriptions of three new species from the Caucasus
Fig. 10. Acanthophorella devi Antić sp. nov. A–E. Paratype, ♂ (IZB). F–G. Paratype, ♀ (IZB). A. Anterior gonopods, anterior view. B. Anterior gonopods, posterior view. C. Anterior gonopods, lateral view. D. Posterior gonopods, posterior view. E. Left posterior gonopod, lateral view. F. Right vulva, distal view. G. Right vulva, lateral view. Abbreviations: a = angiocoxite; ap = anterior process; b = bursa; c = colpocoxite; ll = lateral lamella; mp = medial part; o = operculum; pl = posterior lobe; s = sternum; sa = synangiocoxal base; sl = sternal lamella; t = telopodite; tf = angiocoxal tuft. Drawings by DA (A–E) and MŠ (F–G). Scale bars = 0.2 mm.
Fig. 9 in Review of the genus Acanthophorella Antić & Makarov, 2016 (Diplopoda, Chordeumatida, Anthroleucosomatidae), with descriptions of three new species from the Caucasus
Fig. 9. Acanthophorella devi Antić sp. nov. A–F. Paratype, ♂ (IZB). G–I. Paratype, ♀ (IZB). A. Anterior gonopods, anterior view. B. Anterior gonopods, anterodistal view. C. Anterior gonopods, distal view. D. Anterior gonopods, lateral view. E. Anterior gonopods, lateral lamella and tuft, posterodistal view. F. Anterior gonopods, posterodistal view. G. Left vulva, lateral view. H. Vulvae, distal view. I. Left vulva, anterior view. Abbreviations: a = angiocoxite; ap = anterior process; b = bursa; ll = lateral lamella; mp = medial part; o = operculum; pl = posterior lobe; s = sternum; sa = synangiocoxal base; sl = sternal lamella; tf = angiocoxal tuft. Scale bars: A–D, F–I = 0.1 mm; E = 0.02 mm.
Fig. 8 in Review of the genus Acanthophorella Antić & Makarov, 2016 (Diplopoda, Chordeumatida, Anthroleucosomatidae), with descriptions of three new species from the Caucasus
Fig. 8. Acanthophorella devi Antić sp. nov. A. Paratype, ♀ (IZB), B–G. Paratype, ♂ (IZB). A. Legpair 2, anterior view. B. Leg-pair 2, anterior view. C. Right leg 4, anterior view, white arrows indicate distoventral pads. D. Leg-pair 7, posterior view. E. Leg-pair 10, anterior view. F. Anterior gonopods, anterior view. G. Posterior gonopods, posterior view. Scale bars = 0.2 mm.
Fig. 21 in Review of the genus Acanthophorella Antić & Makarov, 2016 (Diplopoda, Chordeumatida, Anthroleucosomatidae), with descriptions of three new species from the Caucasus
Fig. 21. Anterior gonopods in the genera Acanthophorella Antić & Makarov, 2016 and Pseudoflagellophorella Antić & Makarov, 2016, anterior views. A. A. aurita Antić sp. nov. B. A. barjadzei Antić & Makarov, 2016. C. A. chegemi Antić & Makarov, 2016. D. A. devi Antić sp. nov. E. A. irystoni Antić & Makarov, 2016. F. A. valerii Antić sp. nov. G. P. eskovi Antić & Makarov, 2016. H. P. mirabilis Antić & Makarov, 2016. I. P. papilioformis Antić & Makarov, 2016. B–C, E, G–I after Antić & Makarov (2016). Scale bar = 0.2 mm.
Fig. 7 in Review of the genus Acanthophorella Antić & Makarov, 2016 (Diplopoda, Chordeumatida, Anthroleucosomatidae), with descriptions of three new species from the Caucasus
Fig. 7. Acanthophorella devi Antić sp. nov., paratype, ♂ (IZB). A. Head, anterior view. B. Labrum, anterior view. C. Right side of head showing field with ommatidia, organ of Tömösvary and group of papilliform outgrowths, lateral view. D. Right field with ommatidia, anterior view. E. Ring 16, dorsal view. F. Ring 16, dorsolateral view. G. Rings 14–16, posterior view. H. Left interior macrochaeta of ring 15, lateral view. Scale bars: A–B, E–G = 0.1 mm; C, H = 0.05 mm; D = 0.01 mm.
Fig. 5 in Review of the genus Acanthophorella Antić & Makarov, 2016 (Diplopoda, Chordeumatida, Anthroleucosomatidae), with descriptions of three new species from the Caucasus
Fig. 5. Acanthophorella aurita Antić sp. nov., holotype, ♂ (NHMW MY10363), gonopods. A. Anterior gonopods, anterior view. B. Anterior gonopods, posterior view. C. Anterior gonopods, lateral view. D. Posterior gonopods, anterior view. E. Right posterior gonopod, lateral view. Abbreviations: a = angiocoxite; ap = anterior process; cv = coxal vesicle; ll = lateral lamella; mp = medial part; s = sternum; sl = sternal lamella; t = telopodital pigment remnants; tf = angiocoxal tuft. Drawings by DA. Scale bars = 0.2 mm.
Fig. 2 in Review of the genus Acanthophorella Antić & Makarov, 2016 (Diplopoda, Chordeumatida, Anthroleucosomatidae), with descriptions of three new species from the Caucasus
Fig. 2. Acanthophorella aurita Antić sp. nov., holotype, ♂ (NHMW MY10363). A. Habitus, lateral view. B. Right field with ommatidia, lateral view. C. Head, anterior view, white arrows indicate rectangular lobes. D. Midbody rings, lateral view. E. Midbody rings, dorsal view. Scale bars: A, D–E = 1 mm; B–C = 0.5 mm.
Fig. 3 in Review of the genus Acanthophorella Antić & Makarov, 2016 (Diplopoda, Chordeumatida, Anthroleucosomatidae), with descriptions of three new species from the Caucasus
Fig. 3. Acanthophorella aurita Antić sp. nov., holotype, ♂ (NHMW MY10363). A. Leg-pair 2, posterior view. B. Left leg 3, anterior view, white arrow indicates the distoventral femoral pad. C. Right leg 3 with a distoventral femoral pad, anterior view. D. Leg-pair 7, anterior view. E. Leg-pair 10, anterior view. Scale bars = 0.2 mm.
Fig. 4. A–B in Review of the genus Acanthophorella Antić & Makarov, 2016 (Diplopoda, Chordeumatida, Anthroleucosomatidae), with descriptions of three new species from the Caucasus
Fig. 4. A–B. Acanthophorella aurita Antić sp. nov., holotype, ♂ (NHMW MY10363). C–D. Acanthophorella cf. A. aurita from Kveda Tlughi. A, C. Anterior gonopods, anterior and posterior views, respectively. B, D. Posterior gonopods, anterior views. Scale bars = 0.2 mm; C–D not to scale.
Fig. 6 in Review of the genus Acanthophorella Antić & Makarov, 2016 (Diplopoda, Chordeumatida, Anthroleucosomatidae), with descriptions of three new species from the Caucasus
Fig. 6. Acanthophorella devi Antić sp. nov. A–B. Paratype, ♀ (IZB). C–E. Holotype, ♂ (NHMW MY10364). A. Habitus, lateral view. B. Head and collum, lateral view. C. Habitus, lateral view. D. Midbody rings, dorsal view. E. Midbody rings, lateral view. Scale bars: A, C–E = 1 mm; B = 0.5 mm.
Fig. 1 in Review of the genus Acanthophorella Antić & Makarov, 2016 (Diplopoda, Chordeumatida, Anthroleucosomatidae), with descriptions of three new species from the Caucasus
Fig. 1. Troglobiotic members of the genus Acanthophorella Antić & Makarov, 2016 in situ. A–B. Acanthophorella barjadzei Antić & Makarov, 2016, ♂ from Nikortsminda Sakinule Cave. C–D. Acanthophorella barjadzei Antić & Makarov, 2016, ♂ from Muradi Cave. E–F. Acanthophorella devi Antić sp. nov., types, ♂♂. G–H. Acanthophorella valerii Antić sp. nov., holotype, ♂ (NHMW MY10366). Photos by Dragan Antić.
Dataset related to article "Phantom‑based analysis of variations in automatic exposure control across three mammography systems: implications for radiation dose and image quality in mammography, DBT, and CEM"
<p>The dataset comprises information from several DICOM tags extracted from digital mammography (DM), digital breast tomosynthesis (DBT), and contrast-enhanced mammography (CEM) images acquired in a phantom study aimed at characterizing the automatic exposure control (AEC) behavior of diverse mammography equipment. The final ten columns of the datasets encompass signal (mena pixel values, MPV) and noise (standard deviation, SD) measurements derived from phantom images. These measurements are used to compute several image quality metrics, including contrast, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), CNR relative difference in comparison to the 45 mm reference thickness, and a figure of merit (FOM) obtained by diving the squared CNR by the mean glandular dose (MGD).</p>
A Stereo Camera Simulator for Large-Eddy Simulations of Continental Shallow Cumulus clouds based on three-dimensional Path-Tracing
<p>Dataset to produce the results of the publication: "A Stereo Camera Simulator for Large-Eddy Simulations of Continental Shallow Cumulus clouds based on three-dimensional Path-Tracing"</p><p>The dataset contains:</p><ul><li>Large-Eddy Simulation (LES) model configuration files</li><li>Selected output data of the LES experiments</li><li>Data and analysis scripts for the figures</li><li>The rendered camera images</li><li>The cloud field, cloud hulls, and reconstructed hulls</li><li>A frozen version of the open-source Blender code (version 2.90) as used in this study</li></ul><p>For the latest version of Blender, please visit:</p><p><a href="https://chat.openai.com/c/www.blender.org">www.blender.org</a></p><p>It is important to note that the method was specifically tested only on version 2.90.</p><p> </p><p>This research is supported by the German Research Foundation (DFG) under project number 430226822 (https://gepris.dfg.de/gepris/projekt/430226822). This research was supported by the U.S. Department of Energy's Atmospheric System Research, an Office of Science Biological and Environmental Research program, under grant DE-SC0022126. This work used resources of the Deutsches Klimarechenzentrum (DKRZ) granted by its Scientific Steering Committee (WLA) under project ID bb1086. The Gauss Centre for Supercomputing e.V. (https://www.gauss-centre.eu/) is acknowledged for providing computing time on the Gauss Centre for Supercomputing (GCS) supercomputer JUWELS at the Jülich Supercomputing Centre (JSC) under projects VIRTUALLAB and RCONGM.</p>
I-MAESTRO data: 42 million trees from three large European landscapes in France, Poland and Slovenia
<p>Here we present three datasets describing three large European landscapes in France (Bauges Geopark - 89,000 ha), Poland (Milicz forest district - 21,000 ha) and Slovenia (Snežnik forest - 4,700 ha) down to the tree level. Individual trees were generated combining inventory plot data, vegetation maps and Airborne Laser Scanning (ALS) data. Together, these landscapes (hereafter virtual landscapes) cover more than 100,000 ha including about 64,000 ha of forest and consist of more than 42 million trees of 51 different species.</p><p>For each virtual landscape we provide a table (in .csv format) with the following columns:<br>- cellID25: the unique ID of each 25x25 m² cell<br>- sp: species latin names<br>- n: number of trees. n is an integer >= 1, meaning that a specific set of species "sp", diameter "dbh" and height "h" can be present multiple times in a cell.<br>- dbh: tree diameter at breast height (cm)<br>- h: tree height (m)</p><p>We also provide, for each virtual landscape, a raster (in .asc format) with the cell IDs (cellID25) which makes data spatialisation possible. The coordinate reference systems are EPSG: 2154 for the Bauges, EPSG: 2180 for Milicz, and EPSG: 3912 for Sneznik.</p><p>The v2.0.0 presents the algorithm in its final state.</p><p>Finally, we provide a proof of how our algorithm makes it possible to reach the total BA and the BA proportion of broadleaf trees provided by the ALS mapping using the alpha correction coefficient and how it maintains the Dg ratios observed on the field plots between the different species (see algorithm presented in the associated Open Research Europe article).</p><p>Below is an example of R code that opens the datasets and creates a tree density map.</p><p>------------------------------------------------------------<br># load package</p><p>library(terra)</p><p>library(dplyr)</p><p> </p><p># set work directory</p><p>setwd() # define path to the I-MAESTRO_data folder</p><p> </p><p># load tree data</p><p>tree <- read.csv2('./sneznik/sneznik_trees.csv', sep = ',')</p><p> </p><p># load spatial data</p><p>cellID <- rast('./sneznik/sneznik_cellID25.asc')</p><p> </p><p># set coordinate reference system</p><p># Bauges:</p><p># crs(cellID) <- "epsg:2154"</p><p># Milicz:</p><p># crs(cellID) <- "epsg:2180"</p><p># Sneznik:</p><p># crs(cellID) <- "epsg:3912"</p><p> </p><p># convert raster into dataframe</p><p>cellIDdf <- as.data.frame(cellID)</p><p>colnames(cellIDdf) <- 'cellID25'</p><p> </p><p># calculate tree density from tree dataframe</p><p>dens <- tree %>% group_by(cellID25) %>% summarise(n = sum(n))</p><p> </p><p># merge the two dataframes</p><p>dens <- left_join(cellIDdf, dens, join_by(cellID25))</p><p> </p><p># add density to raster</p><p>cellID$dens <- dens$n</p><p> </p><p># plot density map</p><p>plot(cellID$dens)</p>
Figure 3 in Acmaeodera (Coleoptera: Buprestidae): A new species of Acmaeodera Eschscholtz, 1829 from the southwestern United States, with three new synonymies, new state and host records, and a key to species occurring east of the Rocky Mountain states
Figure 3. Acmaeodera conoidea Fall, paralectotype ♂. a) Dorsal view. b) Ventral view. c) Lateral view. d) Broadly arcuate clypeus e) Third stria split near umbone. f) Protarsal claw.
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.