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Fig. 6. Fissurellidae 3. A–B. Fissurisepta granulosa Jeffreys, 1883. Galicia Bank, 590–900 m in The Mollusca of Galicia Bank (NE Atlantic Ocean)

Fig. 6. Fissurellidae 3. A–B. Fissurisepta granulosa Jeffreys, 1883. Galicia Bank, 590–900 m, shell figured in Rolán Mosquera & Pérez Gándaras (1981), 3.2 mm. C–D. Profundisepta alicei (Dautzenberg & H. Fischer, 1897), BANGAL 0711, V5, 1631 m, 2.2 mm. E–G. Profundisepta profundi (Jeffreys, 1877), SEAMOUNT 1, DW116, 985–1000 m, 3.2 mm. H–J. Cornisepta rostrata (Seguenza, 1863), SEAMOUNT 1, DW116, 985–1000 m, 4.8 mm height. K–M. Cornisepta microphyma (Dautzenberg & H. Fischer, 1896), BANGAL 0711, V4, 744 m, 5.6 mm height. Scale bars: A–I, K–L = 1 mm; J, M = 500 µm.

Fig. 16. Skeneimorph species 3. A–B in The Mollusca of Galicia Bank (NE Atlantic Ocean)

Fig. 16. Skeneimorph species 3. A–B. Anekes affinis (Jeffreys, 1883), BANGAL 0711, V5, 1631 m, diameter 1.4 mm. C–E. SEM micrograph, same specimen, and detail of protoconch and apical whorls, showing the characteristic "Anekes sculpture". F–G. Anekes paucistriata Warén, 1992, BANGAL 0711, V5, 1631 m, live taken specimen, diameter 1.9 mm. H–K. SEM micrograph of another shell, detail of protoconch and apical whorls, and detail of the umbilical area. Scale bars: A–D, F–I = 1 mm; E, J–K = 200 µm.

Fig. 28. Heterobranchia 1 in The Mollusca of Galicia Bank (NE Atlantic Ocean)

Fig. 28. Heterobranchia 1 (Architectonicidae, Pyramidellidae). A–C. Solatisonax hemisphaerica (Seguenza, 1876), BANGAL 0711, V6, 909 m, 8.9 mm. D–F. Tiberia sp., BANGAL 0711, V10, 1720 m, 4.8 mm. G. Syntype of Pyramidella curtissima Locard, 1897, Travailleur 1881 or 1882, 4.0 mm. H. Turbonilla cf. paucistriata (Jeffreys, 1884), BANGAL 0711, V5, 1631 m, 7.8 mm. I–J. Eulimella sp., BANGAL 0711, V10, 5.3 mm. K–L. Tibersyrnola unifasciata (Forbes, 1844), BANGAL 0711, V6, 7.2 mm. Scale bars: A–E, G–L = 1 mm; F = 200 µm.

Fig. 15. Skeneimorph species 2. A–B in The Mollusca of Galicia Bank (NE Atlantic Ocean)

Fig. 15. Skeneimorph species 2. A–B. Akritogyra similis (Jeffreys, 1883), BANGAL 0711, V5, 1631 m, diameter 2.2 mm. C–D. Moelleriopsis sp., SEAMOUNT 1, DW108, 1120–1125 m, 2.7 mm. E–F. "Skenea" ponsonbyi (Dautzenberg & H. Fischer, 1896), BANGAL 0711, V9, 1671 m, 3.2 mm. G–H. Granigyra pruinosa (Jeffreys, 1883), BANGAL 0711, V10, 1720 m, 3.7 mm.I–J. SEM micrograph, same shell, and detail of microsculpture. K–L. Granigyra tenera (Jeffreys, 1883), BANGAL 0711, V10, 1720 m, 2.3 mm. Scale bars: A–I, K–L = 1 mm; J = 200 µm.

Fig. 2 in The Mollusca of Galicia Bank (NE Atlantic Ocean)

Fig. 2. Location of benthic samples used in this paper: SEAMOUNT 1 (turquoise), FAUNA II (red), ECOMARG 0709 (green) and INDEMARES BANGAL 0711 (deep blue). Symbols for sampling gears: rock dredge (circles; DW, R or DR), beam trawl (triangles; A, V or CP), otter trawl (squares; G or GOC). Isobaths every 200 m except for shallowest at 700 m; isobaths on the bank proper down to 2000 m from multibeam bathymetry (EEZ Project), completed with GEBCO regional bathymetry for the surroundings.

Fig. 23 in The Mollusca of Galicia Bank (NE Atlantic Ocean)

Fig. 23. Muricidae, Fasciolariidae, Columbellidae, Buccinidae, Colidae. A–B. Coralliophila richardi (P. Fischer, 1882), SEAMOUNT 1, DW106, 765 m, 17.9 mm. C–D. Boreotrophon dabneyi (Dautzenberg, 1889), BANGAL 0711, V5, 1631 m, 40.8 mm. E–F. B. dabneyi, juvenile specimen with well-preserved brown protoconch, BANGAL 0711, V2, 1706 m, 4.7 mm. G–H. Amphissa acutecostata (Philippi, 1844), SEAMOUNT 1, DW116, 985–1000 m, 6.0 mm. I. A. acutecostata, protoconch of another specimen, SEAMOUNT 1, CP117, 770 m. J–K. Troschelia berniciensis (King, 1846), ECOMARG 0709, V4, 735 m, 55 mm. L–M. Kryptos koehleri (Locard, 1896), BANGAL 0711, V8, 1565 m, 22.0 mm. Scale bars: A–D, J–M = 10 mm; E–H = 1 mm; I = 500 µm.

Fig. 5. Fissurellidae 2. Puncturella agger Watson, 1883. A–C. BANGAL 0711, GOC6, 903 m, 4.0 in The Mollusca of Galicia Bank (NE Atlantic Ocean)

Fig. 5. Fissurellidae 2. Puncturella agger Watson, 1883. A–C. BANGAL 0711, GOC6, 903 m, 4.0 mm. D–F. SEAMOUNT 1, DW116, 985–1000 m, 4.0 mm, SEM micrographs of protoconch and sculpture. G–I. SEAMOUNT 1, DW116, 985–1000 m, 4.4 mm. J–L. Syntype (NHMUK 1887.2.9.130), Challenger expedition, Station 24 (18°38′30″ N, 65°5′30″ W) off Culebra Island, West Indies, 390 fathoms [713 m], 4.1 mm, courtesy and © NHMUK. M–N. Galicia Bank, campaigns 1980‒1981 by Instituto de Investigaciones Pesqueras de Vigo-CSIC, 590–900 m, same specimen figured as Puncturella profundi (Jeffreys, 1887) in Rolán Mosquera & Pérez-Gándaras (1981: 6, pl. 1 fig. 4), and Rolán Mosquera (1983: 68), 6.0 mm. Scale bars: A–D, G–M = 1 mm; E–F = 200 µm.

opencc-by-4.0Oct 2020View details →

Fig. 1 in A new species of Pseudoblepharispermum (Asteraceae, Plucheeae) from NE Somalia

Fig. 1. – Pseudoblepharispermum tuddense Baldesi & Pignotti. A. Habit; B. Leaf surface hair, with comma-shaped distal cell; C. Anthers, with visible short tails at their base; D. Hermaphrodite, functionally male floret. [Merla, Azzaroli & Fois s.n., FT006212] [Drawing: L. Vivona]

opencc-by-4.0Apr 2022View details →

Fault database for the George and NE Edward Rifts, Uganda

<p>This database is associated with a master's research project at the University of Bristol. The initial geospatial database documents the geometry of 152 faults identified through digital mapping, along with associated attributes. This represents the first detailed fault mapping conducted in the area. The version of record is in .geojson format, however data is also available in .kmz and .shp formats. Attributes are adapted from Williams <em>et al. </em>(2022) and the Global Earthquake Model Global Active Faults Database (GEM-GAFD; Styron & Pagani, 2020).</p> <table> <caption>List and brief description of the attributes in the fault database ('EGR_faults')</caption> <thead> <tr> <th scope="col">Attribute</th> <th scope="col">Data Type</th> <th scope="col">Description</th> <th scope="col">Notes</th> </tr> </thead> <tbody> <tr> <td>FAULT_ID</td> <td>integer</td> <td>Unique numerical reference ID</td> <td> </td> </tr> <tr> <td>CONFIDENCE</td> <td>integer</td> <td>Certainty of whether the fault exists there</td> <td>1 = moderate, 2 = high</td> </tr> <tr> <td>FAULT_NAME</td> <td>string</td> <td>Name of fault</td> <td>Not all faults are named. Assigned based on previous mapping or local geographic features.</td> </tr> <tr> <td>DIP_DIR</td> <td>string</td> <td>Compass quadrant of fault dip direction</td> <td> </td> </tr> <tr> <td>NOTES</td> <td>string</td> <td>Remaining miscellaneous information about the fault</td> <td>e.g. cross-cutting, segmentation, channel incision.</td> </tr> <tr> <td>LENGTH_TT</td> <td>integer</td> <td>Tip-to-tip fault length</td> <td> </td> </tr> <tr> <td>MAX_GRAD</td> <td>real number</td> <td>Estimated maximum gradient of scarp</td> <td>Calculated by taking fault-normal topographic profile at steepest gradient indicated by slope map.</td> </tr> <tr> <td>LENGTH</td> <td>real number</td> <td>Along-trace fault length</td> <td> </td> </tr> </tbody> </table> <p>Fault-normal topographic profiles were then used to measure scarp heights for 130 of the 152 mapped faults. The resulting displacement-length data for each fault is documented in 'slip_profile_data.zip'. A summary of the analysis of fault slip (displacement-length) profiles is outlined in 'EGR_slip_profiles_summary.xlsx'.</p> <table> <caption>List and brief description of the attributes in the slip profile summary ('EGR_slip_profiles_summary')</caption> <thead> <tr> <th scope="col">Attribute</th> <th scope="col">Description</th> <th scope="col">Notes</th> </tr> </thead> <tbody> <tr> <td>Fault ID</td> <td>Unique numerical reference ID</td> <td> </td> </tr> <tr> <td>Length</td> <td>Along-trace fault length</td> <td>To nearest 100m</td> </tr> <tr> <td>D<sub>max</sub></td> <td>Maximum measured displacement along fault scarp</td> <td> </td> </tr> <tr> <td>D<sub>max</sub>/L</td> <td>Maximum displacement divided by fault length</td> <td> </td> </tr> <tr> <td>Profile type</td> <td>First order shape of slip profile</td> <td>Following classifications outlined by Manighetti <em>et al. </em>(2001): <table> <tbody> <tr> <td>L = linear</td> </tr> <tr> <td>HR = half-restricted</td> </tr> <tr> <td>TR = tip-restricted</td> </tr> <tr> <td>DTR1 = both tips restricted, symmetrical</td> </tr> <tr> <td>DTR2 = both tips restricted, asymmetric</td> </tr> <tr> <td>DTR3 = half-restricted and tip-restricted</td> </tr> <tr> <td>QE = quasi-elliptical</td> </tr> <tr> <td>ET = elliptical with tapers</td> </tr> <tr> <td>U = unclear/intermediate pattern</td> </tr> </tbody> </table> </td> </tr> <tr> <td>Dominant propagation direction</td> <td>Direction that fault is preferentially propagating in</td> <td>For unilaterally-propagating faults (tip- or half-restricted) as well as DTR and elliptical-with-taper faults that show a strong sense of preferred propagation</td> </tr> <tr> <td>Clarity rating</td> <td>How well profile is fit by first-order shape</td> <td> <table> <tbody> <tr> <td>1 - profile clearly fit by first order shape</td> </tr> <tr> <td>2 - first order shape with moderate smaller-scale peturbations</td> </tr> <tr> <td>3 - first order shape determined with some difficultly, may be obscured by segmentation, channel incision etc. </td> </tr> <tr> <td>4 - profile not fit by any first order shape, or intermediate, or impossible to differentiate</td> </tr> </tbody> </table> </td> </tr> <tr> <td>Segments</td> <td>Estimated number of segments that fault is formed from</td> <td>Interpreted from displacement minima and mapping observations.</td> </tr> <tr> <td>Notes</td> <td>Remaining miscellaneous information about the fault</td> <td>e.g. channel incision, anomalous topographic features</td> </tr> </tbody> </table>

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Text-fig. 1. Modern vegetation proxies as delivered by the Drudge 1 and 2 tools for Parschlug. Left column results from KovarEder et al. (2021) based on the floristic spectrum published by Kovar-Eder et al. (2004). The other three columns result from three variants using the enlarged floristic spectrum herein. Differences between variants 1–3 from this study are caused by differences in assignment of some taxa and morphotypes (see Appendix 1). European vegetation formations: Formation C – Subarctic, boreal and nemoral-montane open woodlands as well as subalpine and oro-Mediterranean vegetation; Formation D – Mesophytic and hygromesophytic coniferous and mixed broad-leaved-coniferous forests; Formation F – Mesophytic broadleaved deciduous and mixed broadleaved/conifer forests; Formation G – Thermophilous mixed deciduous broadleaved forests; Formation J – Mediterranean sclerophyllous forests and scrub; Formation K – Xerophytic coniferous forests, coniferous woodland and scrub. East Asian vegetation types: MCF China, Japan – Montane Coniferous Forests China, Honshu, Yakushima; BLDF N and NE Provinces, China – Broad-leaved Deciduous Forests of the Northern and Northeastern Provinces (China); BLDF Upper Yangtze, Honshu – Broad-leaved Deciduous Forest, Upper Yangtze Provinces, Mt. Emei, and Honshu; MMF China – Mixed Mesophytic Forest, Lower Yangtze Provinces; BLEF China, Japan – Broad-leaved Evergreen Forests, China, Japan; Meili Snow Mt. high altitude SCL and BLF, China – Meili Snow Mt., Sclerophyllous and broad-leaved forest zone (2,580-3,650 m alt.). (Designations of European vegetation formations follow Bohn et al. (2004) and Asian ones follow Kovar-Eder et al. (2021). in Floristic, Vegetation And Climate Assessment Of The Early/Middle Miocene Parschlug Flora Indicates A Distinctly Seasonal Climate

Text-fig. 1. Modern vegetation proxies as delivered by the Drudge 1 and 2 tools for Parschlug. Left column results from KovarEder et al. (2021) based on the floristic spectrum published by Kovar-Eder et al. (2004). The other three columns result from three variants using the enlarged floristic spectrum herein. Differences between variants 1–3 from this study are caused by differences in assignment of some taxa and morphotypes (see Appendix 1). European vegetation formations: Formation C – Subarctic, boreal and nemoral-montane open woodlands as well as subalpine and oro-Mediterranean vegetation; Formation D – Mesophytic and hygromesophytic coniferous and mixed broad-leaved-coniferous forests; Formation F – Mesophytic broadleaved deciduous and mixed broadleaved/conifer forests; Formation G – Thermophilous mixed deciduous broadleaved forests; Formation J – Mediterranean sclerophyllous forests and scrub; Formation K – Xerophytic coniferous forests, coniferous woodland and scrub. East Asian vegetation types: MCF China, Japan – Montane Coniferous Forests China, Honshu, Yakushima; BLDF N and NE Provinces, China – Broad-leaved Deciduous Forests of the Northern and Northeastern Provinces (China); BLDF Upper Yangtze, Honshu – Broad-leaved Deciduous Forest, Upper Yangtze Provinces, Mt. Emei, and Honshu; MMF China – Mixed Mesophytic Forest, Lower Yangtze Provinces; BLEF China, Japan – Broad-leaved Evergreen Forests, China, Japan; Meili Snow Mt. high altitude SCL and BLF, China – Meili Snow Mt., Sclerophyllous and broad-leaved forest zone (2,580-3,650 m alt.). (Designations of European vegetation formations follow Bohn et al. (2004) and Asian ones follow Kovar-Eder et al. (2021).

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Text-fig. 4. Graphical visualization of Phytogeographic Reference Regions Assessment (PRRA) of nearest living relative genera of fossil-taxa from late Early Miocene Wiesa assemblage in eastern Germany. Analysis yields only NLRs which have modern distribution area (partly) in E and SE Asia. For relationships of fossil-taxa to nearest living relatives or ecological equivalents, see Tab. 6; taxa used for analysis marked with asterisks. Three geographic resolutions conducted: a – grid with 1.5° latitude/longitude resolution, b – grid with 2°, c – grid with 3°; similarity column indicates cooccurrences of genera of nearest living relatives in single grid box. Maximum value in our analysis: grid box marked with arrow in map a, located in western Yunnan Province, P. R. China and southern Kachin Province, NE Myanmar (east of Myitkyina city), area with 97.371 7–98.874 2° longitude and 24.586 7–25.837 5° latitude, yields 23 co-occurring species of 13 genera (Tab. 7). in Assessment Of Phytogeographic Reference Regions For Cenozoic Vegetation: A Case Study On The Miocene Flora Of Wiesa (Germany)

Text-fig. 4. Graphical visualization of Phytogeographic Reference Regions Assessment (PRRA) of nearest living relative genera of fossil-taxa from late Early Miocene Wiesa assemblage in eastern Germany. Analysis yields only NLRs which have modern distribution area (partly) in E and SE Asia. For relationships of fossil-taxa to nearest living relatives or ecological equivalents, see Tab. 6; taxa used for analysis marked with asterisks. Three geographic resolutions conducted: a – grid with 1.5° latitude/longitude resolution, b – grid with 2°, c – grid with 3°; similarity column indicates cooccurrences of genera of nearest living relatives in single grid box. Maximum value in our analysis: grid box marked with arrow in map a, located in western Yunnan Province, P. R. China and southern Kachin Province, NE Myanmar (east of Myitkyina city), area with 97.371 7–98.874 2° longitude and 24.586 7–25.837 5° latitude, yields 23 co-occurring species of 13 genera (Tab. 7).

opencc-by-4.0Jan 2011View details →

Fig. 1 in Contribuciones al catálogo de la familia Coreidae Leach, 1815 (Hemiptera) de Aragón (NE de la Península Ibérica).

Fig. 1.- La especie invasora Leptoglossus occidentalis Heidemann 1910, de reciente introducción en Aragón.

Fig. 2 in Temperature Dependence Of The Breeding Parametres Of The Collared Flycatcher (Passeriformes, Muscicapidae) In The National Park Homilshanski Lisy (Ne Ukraine)

Fig. 2. First spring records and first-egg day of Collared Flycatcher at investigation plots in 2006–2017.

Fig. 5 in Temperature Dependence Of The Breeding Parametres Of The Collared Flycatcher (Passeriformes, Muscicapidae) In The National Park Homilshanski Lisy (Ne Ukraine)

Fig. 5. Model-averaged coefficients of the predictor variables from the subset of best-fitting models for the clutch size (eggs).

Fig. 1 in Temperature Dependence Of The Breeding Parametres Of The Collared Flycatcher (Passeriformes, Muscicapidae) In The National Park Homilshanski Lisy (Ne Ukraine)

Fig. 1. Map of boundaries of the Collared Flycatcher subpopulation study area (Keller et al., 2020).

Fig. 3 in Temperature Dependence Of The Breeding Parametres Of The Collared Flycatcher (Passeriformes, Muscicapidae) In The National Park Homilshanski Lisy (Ne Ukraine)

Fig. 3. Model-averaged importance of the predictor variables from the subset of best-fitting models for the first egg date (FED).

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Fig. 3 in Contribuciones al catálogo de la familia Coreidae Leach, 1815 (Hemiptera) de Aragón (NE de la Península Ibérica).

Fig. 3.- Algunos de los coreidos más frecuentes de Aragón (cont.). De arriba a abajo y de izquierda a derecha: Haploprocta sulcicornis (Fabricius, 1794), Syromastes rhombeus (Linnaeus, 1767), Gonocerus acuteangulatus (Goeze, 1778) y Phyllophya laciniata (Villiers, 1789).

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Fig. 2 in Contribuciones al catálogo de la familia Coreidae Leach, 1815 (Hemiptera) de Aragón (NE de la Península Ibérica).

Fig. 2.- Algunos de los coreidos más frecuentes de Aragón. De arriba a abajo y de izquierda a derecha: Coriomeris denticulatus (Scopoli, 1763), Centrocoris spiniger (Fabricius, 1781), Coreus marginatus (Linnaeus, 1758) y Enoplops scapha (Fabricius, 1794).

Station M time series study (NE Pacific) CTD data (cruises 2006-2022, surface to 4000 m depth)

<p>These datasets are from sensors mounted on remotely operated vehicle deployments (ROVs Tiburon and Doc Ricketts) to Station M (approx 4000 m) in the NE Pacific.  Collection dates were from 2006 to 2022 as the ROV operated from the surface to the abyssal seafloor.</p> <p>The CTD was a Seabird SBE 21, Oxygen came from a pair of Seabird SBE 43s, Beam transmission from a Wetlabs C-Star, 25cm path, 720nm(red) </p> <div>21 and 43s were calibrated annually at Seabird, and the 43s were corrected a couple of times a year with bottle titration.   </div> <div> </div> <div>Units:</div> <div> <table> <tbody> <tr> <td>depth (meters)</td> </tr> <tr> <td>heading (degrees)</td> </tr> <tr> <td>temperature (degrees C)</td> </tr> <tr> <td>salinity (unitless)</td> </tr> <tr> <td>oxygen (ml/l)</td> </tr> </tbody> </table> </div>

Paleoseismology of the Northern Kongur Shan Extensional System, NE Pamir: Implications for Potential Irregular Earthquake Recurrence

<p>Data and code used in the manuscript submitted to JGR: Solid Earth, including:</p> <p>1. 0.1-m resolution DEM at the Alasai site</p> <p>2. Photomosaics of the lacustrine section and fault exposure</p> <p>3. Dataset on earthquake magnitude and liquefaction distance</p> <p>4. Matlab code for scarp degradation modeling</p> <p>5. Matlab code for Monte Carlo simulation of earthquake cycles</p>