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zenodo32/100

FIGURE 10A–C. Nocticola currani n in Speciation in fractured rock landforms: towards understanding the diversity of subterranean cockroaches (Dictyoptera: Nocticolidae: Nocticola) in Western Australia

FIGURE 10A–C. Nocticola currani n. sp. A–C, paratype (WAM ML710). A, first leg, anterior view; B, second leg, anterior view; C, third leg, anterior view. Scale 0.5 mm.

opennotspecifiedDec 2017View details →
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FIGURE 9A–E. Nocticola currani n in Speciation in fractured rock landforms: towards understanding the diversity of subterranean cockroaches (Dictyoptera: Nocticolidae: Nocticola) in Western Australia

FIGURE 9A–E. Nocticola currani n. sp. A, C, paratype (WAM ML710); B, paratype (WAM BH0022); D, E, paratype (WAM ML0671). A, habitus, dorsal view; B, habitus, dorsal view; C, head, lateral view; D subgenital plate, ventral view; E, supraanal plate, dorsal view. Scale 0.5 mm.

opennotspecifiedDec 2017View details →
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FIGURE 8A–B. Nocticola cockingi n in Speciation in fractured rock landforms: towards understanding the diversity of subterranean cockroaches (Dictyoptera: Nocticolidae: Nocticola) in Western Australia

FIGURE 8A–B. Nocticola cockingi n. sp. A, subgenital plate, ventral view, paratype (WAM GR0014R); B, supraanal plate, dorsal view, paratype (WAM SF0149R). Scale 0.5 mm.

opennotspecifiedDec 2017View details →
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FIGURE 7A–H. Nocticola cockingi n in Speciation in fractured rock landforms: towards understanding the diversity of subterranean cockroaches (Dictyoptera: Nocticolidae: Nocticola) in Western Australia

FIGURE 7A–H. Nocticola cockingi n. sp. A, C, H, paratype (WAM SF0149R); B, E, G, paratype (WAM GR0014R); D, paratype (WAM GR0101R); F, holotype (WAM SF0134). A, whole genitalia, dorsal view; B, R1, dorsal view; C, L1, dorsal view; D, L2d, dorsal view; E, L3d, ventral view; F, L3d, dorso–lateral view; G, p, dorsal view; H, vp, dorsal view. Scale 0.2 mm.

opennotspecifiedDec 2017View details →
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FIGURE 6A–E. Nocticola cockingi n in Speciation in fractured rock landforms: towards understanding the diversity of subterranean cockroaches (Dictyoptera: Nocticolidae: Nocticola) in Western Australia

FIGURE 6A–E. Nocticola cockingi n. sp. A, paratype (WAM GRR067); B, paratype (WAM RP011); C–E, paratype (WAM SF0149R). A, habitus, dorsal view; B, head, lateral view; C, first leg, anterior view; D, second leg, anterior view; E, third leg, anterior view. Scale 0.5 mm.

opennotspecifiedDec 2017View details →
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FIGURE 5A–H. A, Nocticola quartermainei n in Speciation in fractured rock landforms: towards understanding the diversity of subterranean cockroaches (Dictyoptera: Nocticolidae: Nocticola) in Western Australia

FIGURE 5A–H. A, Nocticola quartermainei n. sp., female, paratype (WAM GB0043R); B, D, H, Nocticola cockingi n. sp., female, paratype (WAM SF134R); C, Nocticola currani n. sp., female, (WAM BH0041). E, G, Nocticola quartermainei n. sp., female, paratype (WAM SF0287); F, Nocticola currani n. sp., female, (WAM ML0671). A–C, habitus, dorsal view; D, supraanal plate, dorsal view; E, supraanal plate, dorsal view; F, supraanal plate, dorsal view; G, cerci, ventral view; H, cerci, ventral view. Scale A–C 1 mm, D–F 0.2 mm.

opennotspecifiedDec 2017View details →
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FIGURE 4A–H. Nocticola quartermainei n in Speciation in fractured rock landforms: towards understanding the diversity of subterranean cockroaches (Dictyoptera: Nocticolidae: Nocticola) in Western Australia

FIGURE 4A–H. Nocticola quartermainei n. sp. A, B, D–F paratype (WAM ACBN20S); C paratype (WAM GE0793R); G, H paratype (WAM GE0793R). A, whole genitalia, dorsal view; B, R1, dorsal view; C, L2d, dorsal view; D, L3d, dorsal view; E, p, dorsal view; F, vp, dorsal view; G, subgenital plate, ventral view; H, supraanal plate, dorsal view. Scale 0.2 mm.

opennotspecifiedDec 2017View details →
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FIGURE 3A–E. Nocticola quartermainei n in Speciation in fractured rock landforms: towards understanding the diversity of subterranean cockroaches (Dictyoptera: Nocticolidae: Nocticola) in Western Australia

FIGURE 3A–E. Nocticola quartermainei n. sp. A, B paratype (WAM 83208); C–E paratype (WAM SF0287R). A, habitus, dorsal view; B, head, lateral view; C, first leg, anterior view; D, second leg, anterior view; E, third leg, anterior view. Scale 0.5 mm.

opennotspecifiedDec 2017View details →
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FIGURE 2 in Speciation in fractured rock landforms: towards understanding the diversity of subterranean cockroaches (Dictyoptera: Nocticolidae: Nocticola) in Western Australia

FIGURE 2. Schematic representation of male Nocticola genitalia in caudal view. Left phallomere (dark shading), right phallomere (light shading). vp, ventral phallomere; p, penis; L1, left phallomere 1; L2d, left phallomere 2 dorsal; L2v, left phallomere 2 ventral; L3d, left phallomere 3 dorsal; L3v, left phallomere 3 ventral; R1, right phallomere 1; R2, right phallomere 2; R3d, right phallomere 3 dorsal; R3v, right phallomere 3 ventral.

opennotspecifiedDec 2017View details →
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FIGURE 1 in Speciation in fractured rock landforms: towards understanding the diversity of subterranean cockroaches (Dictyoptera: Nocticolidae: Nocticola) in Western Australia

FIGURE 1. Localities of Nocticola quartermainei n. sp., Nocticola cockingi n. sp., and Nocticola currani n. sp. in the Pilbara region of Western Australia.

opennotspecifiedDec 2017View details →
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China Loess Landform Classification

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2024View details →
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Shapefiles of Lago Argentino - Rio Santa Cruz glacial landforms

<p>Shapefiles of mapped glacial landforms in the upper Rio Santa Cruz valley (eastern margin of Lago Argentino), southern Patagonia, Argentina. We manually digitized the geomorphological features, and we created both polygons and polylines to delineate the glacial landforms.</p> <p>CRS info: EPSG:32718 - WGS 84 / UTM zone 19S - Projected</p> <p>This mapping is part of a paper:<strong> 'Late Quaternary glacial maxima in Southern Patagonia: insights from the Lago Argentino glacier lobe'</strong> by Romero et al. (2024) in Clim. Past .,&nbsp;<a href="https://cp.copernicus.org/articles/20/1861/2024/cp-20-1861-2024.html">https://doi.org/10.5194/cp-2024-24</a></p> <p>More information about methods and datasets used for high resolution geomorphological mapping available on the paper.</p>

opencc-by-4.0Jun 2024View details →
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Seismic evidence on crustal architecture of east-southern Tibet and implications for active landform construction since Late Miocene

<p>This is the receiver function data set for &quot;Seismic evidence on crustal architecture of east-southern Tibet and implications for active landform construction since Late Miocene&quot;</p>

opencc-by-4.0Apr 2022View details →
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Supporting GIS file for: Tectonic landform and lithologic age impact uncertainties in fault displacement hazard models

<p>This project aims to understand how the error in mapped fault location and the residual between the modeled and observed coseismic displacements vary with tectonic landform and the surficial lithologic age. We focus on four historical earthquakes: the M6.9 Borah Peak, 2014 M6.0 Napa, 2016 M7.0 Kumamoto, and 2016 M7.8 Kaikoura earthquakes.</p> <p>The GIS shape file contains information about the tectonic landform, the surficial landscape age, the observed and modelled coseismic displacement, fault location error, and the confidence ranking of the mapped fault trace. Each entry corresponds to a location where a displacement measurement was made following the earthquake of focus. Additional detail is given in the readme.</p> <p>The entries in the GIS file are collected from the following references:</p> <p>Chiou, B., Chen, R., Thomas, K., Milliner, C. W. D., Dawson, T., &amp; Petersen, M. D. (2022). Surface Fault Displacement Models for Strike-Slip Faults. <em>Natural Hazards Risk and Resiliency Research Center B. John Garrick Institute for the Risk Sciences University of California, Los Angeles</em>, <em>Report GIRS‐2022‐07</em>, 186. https://doi.org/10.34948/N3RG6X</p> <p>Crone, A. J., Machette, M. N., Bonilla, M., Lienkaemper, J. J., Pierce, K., Scott, W., &amp; Bucknam, R. (1987). Surface faulting accompanying the Borah Peak earthquake and segmentation of the lost river fault, central Idaho.&nbsp;<em>Bulletin of the Seismological Society of America</em>, <em>77</em>.</p> <p>Graymer, R. W., Brabb, E., Jones, D. L., Barnes, J., Nicholson, R. S., &amp; Stamski, R. E. (2007).&nbsp;<em>Geologic Map and Map Database of Eastern Sonoma and Western Napa Counties, California</em> (No. U.S. Geological Survey Scientific Investigations Map 2956). Retrieved from https://doi.org/10.3133/sim2956</p> <p>Heron, D. W. (2018). Geological Map of New Zealand 1:250 000. GNS Science Geological Map 1 (2nd ed.) Lower Hutt, New Zealand. GNS New Zealand. Retrieved from https://www.gns.cri.nz/data-and-resources/geological-map-of-new-zealand/</p> <p>Hoshizumi, H., Ozaki, M., Miyazaki, K., Matsuura, H., Toshimitsu, S., Uto, K., et al. (2004). Geological Map of Japan 1:200,000: Kumamoto. Geological Survey of Japan. Retrieved from https://www.gsj.jp/Map/EN/geology2-6.html#Kumamoto</p> <p>Janecke, S. U., &amp; Wilson, E. (1992). Geologic map of the Borah Peak, Burnt Creek, Elkhorn Creek, and Leatherman Peak 7.5&rsquo; quadrangles, Custer County, Idaho, Scale 1:24,000. Idaho Geological Survey Technical Report 92-5. Retrieved from https://www.idahogeology.org/product/T-92-5</p> <p>Kuehn, Nicolas, Kottke, A., Madugo, C., Sarmiento, A., &amp; Bozorgnia, Y. (2022). Report GIRS 2022-06: UCLA&ndash;PG&amp;E Fault Displacement Model. https://doi.org/10.34948/N3X59H</p> <p>Lewis, R. S., Link, P., Stanford, L. R., &amp; Long, S. P. (2012).&nbsp;<em>Geologic Map of Idaho</em>. Moscow, Boise, Pocatello: Idaho Geologic Survey. Retrieved from https://www.idahogeology.org/maps-pubs-data/state-geologic-map</p> <p>Ponti, D. J., Blair, J. L., &amp; Rosa, C. M. (2019). Digital Datasets Documenting Fault Rupture and Ground Deformation Features Produced by the Mw 6.0 South Napa Earthquake of August 24, 2014 [Data set]. U.S. Geological Survey. https://doi.org/10.5066/F7P26W84</p> <p>Sarmiento, A., Madugo, D., Bozorgnia, Y., Shen, A., Mazzoni, S., Lavrentiadis, G., et al. (2021). Fault Displacement Hazard Initiative Database.&nbsp;<em>Report No. GIRS-2021-08, Revision 3.3 Dated 29 May 2024. Los Angeles, CA: The B. John Garrick Institute for the Risk Sciences at UCLA Engineering</em>. https://doi.org/10.34948/N36P48</p> <p>Scott, C., Adam, R., Arrowsmith, R., Madugo, C., Powell, J., Ford, J., et al. (2023). Evaluating how well active fault mapping predicts earthquake surface-rupture locations.&nbsp;<em>Geosphere</em>, <em>19</em>(4), 1128&ndash;1156. https://doi.org/10.1130/GES02611.1</p> <p>Scott, C. P., Arrowsmith, J. R., Nissen, E., Lajoie, L., Maruyama, T., &amp; Chiba, T. (2018). The&nbsp;<em>M</em> 7 2016 Kumamoto, Japan, Earthquake: 3-D Deformation Along the Fault and Within the Damage Zone Constrained From Differential Lidar Topography. <em>Journal of Geophysical Research: Solid Earth</em>, <em>123</em>, 6138&ndash;6155. https://doi.org/10.1029/2018JB015581</p> <p>Vincent, K. R. (1995). Implications for models of fault behavior from earthquake surface displacement along adjacent segments of the Lost River fault, Idaho<em>:</em> University of Arizona.</p> <p>Wagner, D., &amp; Gutierrez, C. (2017).&nbsp;<em>Preliminary Geologic Map of the Napa and Bodega Bay 30&rsquo; x 60&rsquo; Quadrangles, California</em>. California Department of Conservation. Retrieved from https://ngmdb.usgs.gov/Prodesc/proddesc_105819.htm</p> <p>Zinke, R., Hollingsworth, J., Dolan, J. F., &amp; Van Dissen, R. (2019). Three‐Dimensional Surface Deformation in the 2016 M&nbsp;<sub>W</sub> 7.8 Kaikōura, New Zealand, Earthquake From Optical Image Correlation: Implications for Strain Localization and Long‐Term Evolution of the Pacific‐Australian Plate Boundary. <em>Geochemistry, Geophysics, Geosystems</em>, <em>20</em>(3), 1609&ndash;1628. https://doi.org/10.1029/2018GC007951</p>

opencc-by-4.0Jun 2024View details →
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FIGURE. 3 in Two new species of Dyfrolomyces (Dyfrolomycetaceae, Dothideomycetes) from karst landforms

FIGURE. 3 Dyfrolomyces maolanensis (GZAAS 16-0114; holotype) a, b Appearance of ascomata immersed in the host. c Vertical section through ascoma. d Section of peridium. e Pseudoparaphyses. f–i Long, cylindrical asci with ascospores. j–o Ascospores. Scale bars: c = 100 μm, d, f–i = 20 μm, e = 30 μm, j–o = 10 μm.

opennotspecifiedJul 2017View details →
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FIGURE. 2 in Two new species of Dyfrolomyces (Dyfrolomycetaceae, Dothideomycetes) from karst landforms

FIGURE. 2 Dyfrolomyces thamplaensis (MFLU 16-2511; holotype) a, b Appearance of ascomata immersed in the host. c Long, cylindrical asci with ascospores. d Pseudoparaphyses. e Asci with apical ring. Note the arrow heads indicate the apical ring. f Vertical section through ascoma. g Section of peridium. h Germinating ascospore. i–l Ascospores. Scale bars: b = 500 μm, c, d = 30 μm, e, h = 10 μm, f= 100 μm, g = 20 μm, i–l = 5 μm.

opennotspecifiedJul 2017View details →
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FIGURE. 1 in Two new species of Dyfrolomyces (Dyfrolomycetaceae, Dothideomycetes) from karst landforms

FIGURE. 1 Maximum likelihood phylogenetic tree by RAxML (GTR+G model) based on combined LSU, SSU rDNA and TEF1-a sequence data. ML values (&gt; 50%) resulting from 1000 bootstrap replicates are shown near the nodes and branches with Bayesian posterior probabilities (PP) greater than 0.95 are given in bold. Hyphen ("--") indicates that the support values are lower than 50%. The original isolate numbers are noted after the species names. The tree is rooted to Dothidea sambuci (AFTOL 274), and the scale bar shows 0.01 changes.

opennotspecifiedJul 2017View details →
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FIGURE 2. Primulina hengshanensis L.H. Liu & K.M in Primulina hengshanensis (Gesneriaceae), a new species from Danxia landform in Hunan, China

FIGURE 2. Primulina hengshanensis L.H. Liu &amp; K.M. Liu: (A) and (B) habitat; (C) mature plant; (D) rhizome subterete; (E) adaxial leaf surface; (F) abaxial leaf surface; (G) inflorescence; (H) dissected flower; (I) pistil and calyx lobes. P. langshanica Wang: (J) mature plant; (K) inflorescence.

opennotspecifiedJan 2018View details →
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FIGURE 1. Primulina hengshanensis L.H. Liu & K.M in Primulina hengshanensis (Gesneriaceae), a new species from Danxia landform in Hunan, China

FIGURE 1. Primulina hengshanensis L.H. Liu &amp; K.M. Liu: (A) habit (includes 6 Inflorescences); (B) opened corolla exposing stamens and staminodes; (C) calyx; (D) pistil; (E) capsule; (F) rhizome. (Drawn by Jing Tian)

opennotspecifiedJan 2018View details →
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FIGURE 6. Primulina cataractarum X.L in Primulina cataractarum sp. nov. (Gesneriaceae) from limestone landform in Southern Hunan, China

FIGURE 6. Primulina cataractarum X.L.Yu &amp; A.Liu. A. Habitat. B. Flowering individual. C. Population. D. Left view of flower and both surfaces of leaves. E. Abaxial leaf blade surface and inflorescence and bracts. F. Corolla, stamens showing staminodes, pistil and disc. G. Front view of flower. H. Opened corolla showing stamens. I. Stigma. J. Inflorescence, bracts, bractlet and calyx. K. Bracteoles. L. Disc. M. Calyx. N. Mature capsule.

opennotspecifiedJul 2021View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record