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Figure 15 in The Annelid Community of a Natural Deep-sea Whale Fall off Eastern Australia
Figure 15 (facing page). Neanthes visicete sp. nov., holotype specimen AMW.53704. (A) Living complete individual, scale bar is 5 mm; (B) detail of prostomium, scale bar is 1 mm; (C) detail of parapodia from middle of body, scale bar is 500 µm; (D) detail of ventral side of pygidium, scale bar is 500 µm; (E) anterior parapodium (number 13), scale bar is 250 µm; (F) mid-body parapodium (number 28), scale bar is 100 µm; (G) parapodium from near posterior (number 67), scale bar is 200 µm; (H) notopodial homogomph spinigers, scale bar is 50 µm; (I) neuropodial homogomph spinigers and homogomph falcigers, dorsal fascicle, scale bar is 50 µm; (J) neuropodial homogomph spinigers and homogomph falcigers, ventral fascicle, scale bar is 50 µm; (K) neuropodial supra-acicular homogomph spinigers, scale bar is 20 µm; (L) neuropodial sub-acicular long and short-bladed spinigers, scale bar is 20 µm. Abbreviations: hos, homogomph spiniger; hof, homogomph falciger.
Fig. 15 in A revision of the South American species of the cleptoparasitic bee genus Triepeolus Robertson, 1901 (Hymenoptera: Apidae)
Fig. 15. Left pro- and mesotrochanters of male, frontal view. A. Triepeolus osiriformis (Schrottky, 1910) (FSCA). B. T. tuberculifer Onuferko, Rightmyer & Roig-Alsina sp. nov., allotype (FSCA M.G.R. Database No. 3704), showing distinct protuberances (blue arrows).
Fig. 15. a in Spirostomum teres: A Long Term Study of an Anoxic-Hypolimnion Population Feeding upon Photosynthesizing Microorganisms
Fig. 15. a) Spirostomum teres numbers plot [cells mL–1] against Photosynthetically Active Radiation, PAR [%] vs. autotrophic picoplankton, APP [cells mL–1], and analysed PAR/APP data plot; blue bubbles mark the samples from the event of incomplete mixing (January); b) Species occurrence in habitats, in which S. teres was found (in the logarithmic scale of PAR).
Dataset for publication "Chemical-Dealloying-Derived PtPdPb-Based Multimetallic Nanoparticles: Dimethyl Ether Electrocatalysis and Fuel Cell Application" in ACS Applied Materials & Interfaces 2023, 15, 49, 56930–56944
<p>Dataset for publication "Chemical-Dealloying-Derived PtPdPb-Based Multimetallic Nanoparticles: Dimethyl Ether Electrocatalysis and Fuel Cell Application" in ACS Applied Materials & Interfaces 2023, 15, 49, 56930–56944, https://doi.org/10.1021/acsami.3c11003</p> <p>Dataset contains XRD, SAXS, Particle size distribution, HRTEM, Electrochemical characterisation, Fuel cell current-voltage curve, DFT calculations, Elemental maps and electrode stability measurements made on pristine and chemically dealloyed carbon supported Pt2PdPb2 nanoparticles.</p>
Fig. 15 in New genera of stiletto flies endemic to Madagascar (Therevidae: Therevinae)
Fig. 15. Rinhatiana gen. nov. and Tianarinha gen nov., epandrium. A. Rinhatiana arctifestuca gen. et sp. nov. (CSCA). B. Rinhatiana cracentis gen. et sp. nov. (CSCA). C. Rinhatiana latifestuca gen. et sp. nov. (CSCA). D. Rinhatiana distincta (Lyneborg, 1976) comb. nov. (CSCA). E. Tianarinha micet gen. et sp. nov., epandrium and tergite 8. (CSCA). F. Tianarinha goodmani gen. et sp. nov. (CSCA). Scale bar = 0.2 mm.
Figures 15–18 in DNA sequencing reveals three new species of Chamberlainium (Corallinales, Rhodophyta) from South Africa, all formerly passing under Spongites yendoi
Figures 15–18: Chamberlainium capense tetrasporangial anatomy. (15) Vertical section through the outer thallus showing a later stage tetrasporangial conceptacle primordium with peripheral roof development (black arrowheads) and tetrasporangial initials (t) arranged peripherally around a central columella (c). Note the persisting layer of protective epithallial cells (black arrow) (L 3986119). Scale bar = 50 μm. (16) Vertical section through a mature, raised tetrasporangial conceptacle showing tetrasporangia (t) with a stalk cell (black arrowhead), peripherally arranged around a well-defined central columella (C). Note the remains of a corona (white arrow) that surrounds the pore opening (L 3986119). Scale bar = 50 μm. (17) Vertical section through a mature raised tetrasporangial conceptacle showing tetrasporangia (t) with stalk cells (black arrowheads), appearing to be arranged across the chamber floor as the columella (c) has disintegrated. Note the absence of the corona (white arrow) (UWC 16/09). Scale bar = 50 μm. (18) Magnified view of the pore canal of a mature tetrasporangial conceptacle showing the base of the pore canal sunken (black arrowheads) into the chamber with terminal, elongate initials near the base pointing downward (black arrows) and the remains of a corona (white arrow) that surrounds and occludes the pore opening. (L 3986119). Scale bar = 20 μm.
Figure 15 in An updated and annotated checklist of the Malacostraca (Crustacea) species inhabited Turkish inland waters
Figure 15. Distribution of the members of Anthuridae, Cirolanidae, Ligiidae, Tylidae, Sphaeromatidae and Idoteidae in Turkish inland waters.
Figures 9‒15 in Contributions on the spider families Nesticidae and Pholcidae (Araneae) from Argentina
Figures 9‒15. Guaranita dobby sp. nov.: male holotype: 9. habitus, lateral view; 10. prosoma, frontal view; 11. left palpus, prolateral view (arrow points to stridulatory pick); 12. retrolateral view (arrow points to dorsal flap on the procursus). Scale bars: 9‒10 = 0.20 mm; 11‒12 = 0.10 mm. Guaranita yaculica Huber, 2000: female: 13. epigynum, dorsal view; 14. epigynum, ventral view; 15. habitus, dorsal view. Scale bars: 13‒14 = 0.10 mm; 15 = 0.20 mm.
FIG. 15 in Indonesian chitons of the genera Belknapchiton Sirenko, Saito et Schwabe, 2022 and Leptochiton Gray, 1847 (Mollusca: Polyplacophora: Leptochitonidae)
FIG. 15. Leptochiton commandorensis, Banda Sea, Indonesia, 3200 m, size 800 x 630 µm. A. Juvenile from pallial groove of female BL–5.0 mm, dorsal view. B. Dorsal scales and needles of the juvenile. РИС. 15. Leptochiton commandorensis, море Банда, ИндонеЗиЯ, 3200 м, раЗмер 800 x 630 мкм. A. Ювенил иЗ паллиального желобка самки BL-5,0 мм, вид сверху. B. Дорсальные чеШуйки и иглы ювенила.
FIG. 15 in Comparative morphology of Tonicia (Polyplacophora) geographical ecotypes from Southeastern Pacific
FIG. 15. Tonicia chilensis, southern ecotype, Chile, Magellan Strait, 53°37'S, 70°56'W, 0.5–3.0 m, BL 18.5 mm, 18.05.2000, leg. B. Sirenko. A. Valve I, dorsal view. B. Valve II, dorsal view. C. Valve V, dorsal view. D. Valve VIII, dorsal view. E. Valve V, jugal and pleural areas. F. Valve V, rostral view. G. Valve VIII, lateral view. РИС. 15. Tonicia chilensis, южный Экотип, Чили, пролив Магеллана, 53°37'S, 70°56'W, 0.5–3.0 m, BL 18.5 mm, 18.05.2000, собрал. B. Sirenko. A. Головной Щиток вид сверху. B. Щиток II, вид сверху. C. Щиток V, вид сверху. D. Щиток VIII, вид сверху. E. Щиток V, югальное и плевральное полЯ. F. Щиток V, вид спереди. G. Щиток VIII, вид сбоку.
Figures 15, 16 in The genera of the tribe Charaxini (Papilionoidea, Nymphalidae, Charaxinae)
Figures 15, 16 – Putative last instar lava of Laodice. Body lateral view and close-up of the head and firsts segments, dorsal view. R.D. Congo, Ituri, 21-iii-2021. Photos Anne Laudisoit.
Figure 15 in Colotis lais (Butler, 1876) and Colotis euippe omphale (Godart, [1819]) use Cadaba aphylla (Thunb.) Wild LC as a host-plant at Tswalu Kalahari, Northern Cape Province, South Africa)
Figure 15 – Cadaba aphylla (CAPPARACEAE) photographed on 21 January 2019 at Tswalu Kalahari, South Africa. A commonly used English name for Cadaba aphylla is "leafless wormbush," because leaves are often not present or obscured by many leafless stems. Photo: R.F. Terblanche.
Figure 15 in Unexpected diversity: ten new species of Homadaula Lower, 1899 from Africa and the Arabian Peninsula (Galacticoidea: Galacticidae)
Figure 15 – Male genitalia of Homadaula larseni sp. nov., a – lateral, b – dorsal, c – ventral, scale bar: 0.5 mm.
Figure 15 in Description of the larva of Helenoscoparia nigritalis (Walker, 1855) (Pyraloidea: Crambidae: Scopariinae)
Figure 15 – Webbings of H. nigritalis in moss at a water tank at Burnt Rock (2019, photo L. Fowler).
Fig. 15 in Taxonomic revision of the antlion tribe Myrmeleontini (Neuroptera: Myrmeleontidae) of Taiwan
Fig. 15. Myrmeleon wangi Miller & Stange, 1999 (NTU). A. Female terminalia, lateral view. B. Same, ventral view. C. Male terminalia, lateral view. D. Same, ventral view. Abbreviations: ag = anterior gonapophysis; ect = ectoproct; lg = lateral gonapophysis; pg = posterior gonapophysis; pp = pregenital plate; S = sternites; T = tergites. Scale bars = 1.0 mm.
FIG. 15 in L'outillage façonné utilisé en percussion lancée du site paléolithique moyen du Bois de l'Hôpital (Saint-Sulpice-la-Pointe, Tarn)
FIG. 15. — Outil présentant une partie active convergente en position distale (0.1398) et détail des cônes incipients avortés présents en partie proximale de la face inférieure, témoins de son usage en tant qu'enclume. Échelles: A, 5 cm; B, 5 mm. Photos: C. Viallet.
Fig. 15 in Embidobia Ashmead (Hymenoptera, Platygastroidea, Scelionidae) of the Indian region with descriptions of new species
Fig. 15. Embidobia sankirna Veenakumari sp. nov., holotype, ♀ (NIM, ICAR-NBAIR P5122). A–B. Habitus dorsal view. C. Head and pleuron. D. Frons. E. Antenna.
ClimateForecasts: Globally Observed Environmental Data for 15,504 Weather Station Locations
<p><strong>ClimateForecasts</strong> is a database that provides environmental data for 15,504 weather station locations and 49 environmental variables, including 38 bioclimatic variables, 8 soil variables and 3 topographic variables. Data were extracted from the same 30 arc-seconds global grid layers that were prepared when making the <strong>TreeGOER (Tree Globally Observed Environmental Ranges)</strong> database that is available from <a href="https://doi.org/10.5281/zenodo.7922927">https://doi.org/10.5281/zenodo.7922927</a><a name="_Hlk141002106"></a>. Details on the preparations of these layers are provided by Kindt, R. (2023). <strong>TreeGOER: A database with globally observed environmental ranges for 48,129 tree species</strong>. Global Change Biology 29: 6303–6318. <a href="https://onlinelibrary.wiley.com/doi/10.1111/gcb.16914">https://onlinelibrary.wiley.com/doi/10.1111/gcb.16914</a>. A similar extraction process was used for the <strong>CitiesGOER</strong> database that is also available from Zenodo via <a href="../doi/10.5281/zenodo.8175429">https://zenodo.org/doi/10.5281/zenodo.8175429</a>.</p> <p><strong>ClimateForecasts</strong> (as the CitiesGOER) was designed to be used together with TreeGOER and possibly also with the <a href="https://worldagroforestry.org/output/globalusefulnativetrees">GlobalUsefulNativeTrees</a> database (Kindt et al. <a href="https://www.nature.com/articles/s41598-023-39552-1">2023</a>) to allow users to filter suitable tree species based on environmental conditions of the planting site. One example of combining data from these different sets in the R statistical environment is available from this Rpub: <a href="https://rpubs.com/Roeland-KINDT/1114902">https://rpubs.com/Roeland-KINDT/1114902</a>.</p> <p>The identities including the geographical coordinates of weather stations were sourced from <a href="https://meteostat.net/en/">Meteostat</a>, specifically by downloading (17-FEB-2024) the <a href="https://dev.meteostat.net/bulk/stations.html">‘lite dump’ data set</a> with information for active weather stations only. Two weather stations where the country could not be determined from the ISO 3166-1 code of ‘XA’ were removed. If weather stations had the same name, but occurred in different ISO 3166-2 regions, this region code was added to the name of the weather station between square brackets. Afterwards duplicates (weather stations of the same name and region) were manually removed.</p> <p>Bioclimatic variables for future climates correspond to the median values from 24 Global Climate Models (GCMs) for Shared Socio-Economic Pathway (SSP) 1-2.6 for the 2050s (2041-2060), from 21 GCMs for SSP 3-7.0 for the 2050s and from 13 GCMs for SSP 5-8.5 for the 2090s. Similar methods were used to calculate these median values as in the case studies for the <a href="https://onlinelibrary.wiley.com/doi/10.1111/gcb.16914">TreeGOER manuscript</a> (calculations were partially done via the <a href="https://rdrr.io/cran/BiodiversityR/man/ensemble.envirem.html">BiodiversityR::ensemble.envirem.run</a> function and with downscaled bioclimatic and monthly climate 2.5 arc-minutes <a href="https://www.worldclim.org/data/cmip6/cmip6_clim2.5m.html">future grid layers available from WorldClim 2.1</a>).</p> <p>Maps were added in version 2024.03 where locations of weather stations were shown on a map of the Climatic Moisture Index (CMI). These maps were created by a similar process as in the <a href="../doi/10.5281/zenodo.8252756">TreeGOER Global Zones Atlas</a> from the environmental raster layers used to create the TreeGOER via the <a href="https://cran.r-project.org/web/packages/terra/">terra package</a> (Hijmans et al. 2022, version 1.7-46) in the <a href="https://cran.r-project.org/">R 4.2.1 environment</a>. Added country boundaries were obtained from <a href="https://www.naturalearthdata.com/downloads/10m-cultural-vectors/">Natural Earth</a> as <a href="https://www.naturalearthdata.com/http/www.naturalearthdata.com/download/10m/cultural/ne_10m_admin_0_countries.zip">Admin 0 – countries vector layers</a> (version 5.1.1). Also added after obtaining them from Natural Earth were <a href="https://www.naturalearthdata.com/http/www.naturalearthdata.com/download/10m/cultural/ne_10m_admin_0_boundary_lines_disputed_areas.zip">Admin 0 – Breakaway, Disputed areas</a> (version 5.1.0, coloured yellow in the atlas) and <a href="https://www.naturalearthdata.com/http/www.naturalearthdata.com/download/10m/cultural/ne_10m_roads.zip">Roads</a> (version 5.0.0, coloured red in the atlas). For countries where the GlobalUsefulNativeTrees database included subnational levels, boundaries were added and depicted as dot-dash lines. These subnational levels correspond to level 3 boundaries in the World Geographical Scheme for Recording Plant Distributions. These were obtained from <a href="https://github.com/tdwg/wgsrpd">https://github.com/tdwg/wgsrpd</a>. Check <a href="https://github.com/tdwg/wgsrpd/blob/master/109-488-1-ED/2nd%20Edition/TDWG_geo2.pdf">Brummit 2001</a> for details such as the maps shown at the end of this document.</p> <p>Maps for version 2024.07 modified the dimensions of the sheets to those used in version 2024.06 of the <a href="../doi/10.5281/zenodo.8252756">TreeGOER Global Zones Atlas</a>. Another modification was the inclusion of Natural Earth boundaries for <a href="https://www.naturalearthdata.com/http/www.naturalearthdata.com/download/10m/physical/ne_10m_lakes.zip">Lakes</a> (version 5.0.0, coloured darkblue in the atlas).</p> <p>Version 2024.10 includes a new data set that documents the location of the city locations in <strong>Holdridge Life Zones</strong>. Information is given for historical (1901-1920), contemporary (1979-2013) and future (2061-2080; separately for RCP 4.5 and RCP 8.5) that are <a href="https://datadryad.org/stash/dataset/doi:10.5061/dryad.41ns1rnff">available for download from DRYAD</a> and were created for the following article: Elsen et al. 2022. Accelerated shifts in terrestrial life zones under rapid climate change. <em>Global Change Biology</em>, 28, 918–935. <a href="https://doi.org/10.1111/gcb.15962">https://doi.org/10.1111/gcb.15962</a>. Version 2024.10 further includes Holdridge Life Zones for the climates available from the previously included climates, calculating biotemperatures and life zones with similar methods as used by Holdridge (<a href="https://www.jstor.org/stable/1675393?seq=1">1947</a>; <a href="https://app.ingemmet.gob.pe/biblioteca/pdf/Amb-56.pdf">1967</a>) and Elsen et al. (<a href="https://doi.org/10.1111/gcb.15962">2022</a>) (for future climates, median values were determined first for monthly maximum and minimum temperatures across GCMs ). The distributions of the 48,129 species documented in TreeGOER across the Holdridge Life Zones are given in this Zenodo archive: <a href="https://zenodo.org/records/14020914">https://zenodo.org/records/14020914</a>.</p> <p>Version 2024.11 includes a new data set that documents the location of the weather stations in <strong>Köppen-Geiger climate zones</strong>. Information is given for historical (1901-1930, 1931-1960, 1961-1990) and future (2041-2070 and 2071-2099) climates, with for the future climates seven scenarios each (SSP 1-1.9, SSP 1-2.6, SSP 2-4.5, SSP 3-7.0, SSP 4-3.4, SSP 4-6.0 and SSP 5-8.5). This data set was created from raster layers available via: Beck, H.E., McVicar, T.R., Vergopolan, N. et al. High-resolution (1 km) Köppen-Geiger maps for 1901–2099 based on constrained CMIP6 projections. Sci Data 10, 724 (2023). <a href="https://doi.org/10.1038/s41597-023-02549-6">https://doi.org/10.1038/s41597-023-02549-6</a>.</p> <p>Version 2025.03 includes extra columns for the baseline, 2050s and 2090s datasets that partially correspond to climate zones used in the <a href="https://worldagroforestry.org/output/globalusefulnativetrees">GlobalUsefulNativeTrees</a> database. One of these zones are the <a href="https://rawgit.com/valentinitnelav/plotbiomes/master/html/Whittaker_biomes_dataset.html">Whittaker biome types</a>, available as a polygon from the <a href="https://rawgit.com/valentinitnelav/plotbiomes/master/html/Whittaker_biomes_dataset.html">plotbiomes</a> package (see also <a href="https://www.davidzeleny.net/wiki/lib/exe/fetch.php/vegecol:materials:ricklefs_bioms_chapter_5.pdf">here</a>). Whittaker biome types were extracted with similar R scripts as described by <a href="https://rpubs.com/Roeland-KINDT/1275232">Kindt 2025</a> (these were also used to calculate environmental ranges of TreeGOER species, as archived <a href="https://zenodo.org/records/14908944">here</a>).</p> <p>Version 2025.03 further includes information for the baseline climate on the steady state water table depth, obtained from a 30 arc-seconds raster layer calculated by the GLOBGM v1.0 model (Verkaik et al. <a href="https://gmd.copernicus.org/articles/17/275/2024/">2024</a>).</p> <p> </p> <p>When using <strong>ClimateForecasts</strong> in your work, cite this depository and the following:</p> <ul> <li>Fick, S. E., & Hijmans, R. J. (2017). WorldClim 2: New 1‐km spatial resolution climate surfaces for global land areas. <em>International Journal of Climatology</em>, <em>37</em>(12), 4302–4315. <a href="https://doi.org/10.1002/joc.5086">https://doi.org/10.1002/joc.5086</a></li> <li>Title, P. O., & Bemmels, J. B. (2018). ENVIREM: An expanded set of bioclimatic and topographic variables increases flexibility and improves performance of ecological niche modeling. <em>Ecography</em>, <em>41</em>(2), 291–307. <a href="https://doi.org/10.1111/ecog.02880">https://doi.org/10.1111/ecog.02880</a></li> <li>Poggio, L., de Sousa, L. M., Batjes, N. H., Heuvelink, G. B. M., Kempen, B., Ribeiro, E., & Rossiter, D. (2021). SoilGrids 2.0: Producing soil information for the globe with quantified spatial uncertainty. SOIL, 7(1), 217–240. <a href="https://doi.org/10.5194/soil-7-217-2021">https://doi.org/10.5194/soil-7-217-2021</a></li> <li>Kindt, R. (2023). TreeGOER: A database with globally observed environmental ranges for 48,129 tree species. Global Change Biology, 00, 1–16. <a href="https://onlinelibrary.wiley.com/doi/10.1111/gcb.16914">https://onlinelibrary.wiley.com/doi/10.1111/gcb.16914</a>.</li> <li>Meteostat (2024) Weather stations: Lite dump with active weather stations. <a href="https://github.com/meteostat/weather-stations">https://github.com/meteostat/weather-stations</a> (accessed 17-FEB-2024)</li> </ul> <p>When using information from the Holdridge Life Zones, also cite:</p> <ul> <li>Elsen, P. R., Saxon, E. C., Simmons, B. A., Ward, M., Williams, B. A., Grantham, H. S., Kark, S., Levin, N., Perez-Hammerle, K.-V., Reside, A. E., & Watson, J. E. M. (2022). Accelerated shifts in terrestrial life zones under rapid climate change. <em>Global Change Biology</em>, 28, 918–935. <a href="https://doi.org/10.1111/gcb.15962">https://doi.org/10.1111/gcb.15962</a></li> </ul> <p>When using information from Köppen-Geiger climate zones, also cite:</p> <ul> <li>Beck, H.E., McVicar, T.R., Vergopolan, N., Berg, A., Lutsko, N.J., Dufour, A., Zeng, Z., Jiang, X., van Dijk, A.I. and Miralles, D.G. 2023. High-resolution (1 km) Köppen-Geiger maps for 1901–2099 based on constrained CMIP6 projections. Sci Data 10, 724. <a href="https://doi.org/10.1038/s41597-023-02549-6">https://doi.org/10.1038/s41597-023-02549-6</a></li> </ul> <p>When using information on the Whittaker biome types, also cite:</p> <ul> <li>Ricklefs, R. E., Relyea, R. (2018). Ecology: The Economy of Nature. United States: W.H. Freeman.</li> <li>Whittaker, R. H. (1970). Communities and ecosystems.</li> <li>Valentin Ștefan, & Sam Levin. (2018). plotbiomes: R package for plotting Whittaker biomes with ggplot2 (v1.0.0). Zenodo. <a href="https://doi.org/10.5281/zenodo.7145245">https://doi.org/10.5281/zenodo.7145245</a></li> </ul> <p>When using information on the steady state water table depth, also cite:</p> <ul> <li>Verkaik, J., Sutanudjaja, E. H., Oude Essink, G. H., Lin, H. X., & Bierkens, M. F. (2024). GLOBGM v1. 0: a parallel implementation of a 30 arcsec PCR-GLOBWB-MODFLOW global-scale groundwater model. Geoscientific Model Development, 17(1), 275-300. <a href="https://gmd.copernicus.org/articles/17/275/2024/">https://gmd.copernicus.org/articles/17/275/2024/</a></li> </ul> <p> </p> <p>The development of <strong>ClimateForecasts</strong> and its partial integration in version 2024.03 of the GlobalUsefulNativeTrees database was supported by the <strong>Darwin Initiative</strong> to project DAREX001 of <em>Developing a Global Biodiversity Standard certification for tree-planting and restoration</em>, by <strong>Norway’s International Climate and Forest Initiative through the Royal Norwegian Embassy in Ethiopia</strong> to the <em>Provision of Adequate Tree Seed Portfolio</em> project in Ethiopia, by the <strong>Green Climate Fund</strong> through the IUCN-led <em>Transforming the Eastern Province of Rwanda through Adaptation</em> project and through the <em>Readiness proposal on Climate Appropriate Portfolios of Tree Diversity for Burkina Faso</em>, by the <strong>Bezos Earth Fund</strong> to the <em>Quality Tree Seed for Africa in Kenya and Rwanda</em> project and by the <strong>German International Climate Initiative (IKI)</strong> to the regional tree seed programme on <em>The Right Tree for the Right Place for the Right Purpose in Africa</em>.</p>
FIGURE 15 in Taxonomic Revision of the Spider Genus Actinopus Perty, 1833 (Araneae, Mygalomorphae, Actinopodidae)
FIGURE 15. Actinopus apalai sp. nov., male: A–C MPEG 13184: A. Copulatory bulb, prolateral; B. Copulatory bulb, dorsal; C. Copulatory bulb, retrolateral. PA-Paraembolic apophysis; BTA-Basal tegular apophysis; PI-Prolateral Inferior keel; PS-Prolateral Superior keel. Scale line: 1 mm.
Fig. 15 in The Changhsingian (Late Permian) ammonoids from Baghuk Mountain (Central Iran)
Fig. 15. Descriptive terms for the whorl profiles and suture lines (exemplified in Paratirolites kittli Stoyanow, 1910) of the paratirolitid ammonoids described here (from Korn et al. 2016).
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.