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2,679 results for “softness”
FIGURES 322–336 in Three new genera of soft-bodied goblin spiders (Araneae, Oonopidae) from Mexico, Belize, and Guatemala
FIGURES 322–336. Emboonops nejapa, new species, female. 322. Endites, ventral view. 323. Same, dorsal view. 324. Labrum, same. 325. Serrula, dorsal view. 326. Palp, prolateral view. 327. Same, retrolateral view. 328. Palpal tibia, dorsal view. 329. Epigastric region, ventral view. 330. Internal genitalia, dorsal view. 331. Spinnerets, distal view. 332. Anterior lateral spinnerets, ventral view. 333. Same, distal view. 334. Posterior median spinnerets, same. 335. Posterior lateral spinneret, same. 336. Claws of leg I, distal view.
FIGURES 88–99 in Three new genera of soft-bodied goblin spiders (Araneae, Oonopidae) from Mexico, Belize, and Guatemala
FIGURES 88–99. Toloonops veracruz, new species, male (88–96) and female (97–99). 88. Carapace, dorsal view. 89. Same, lateral view. 90. Sternum, ventral view. 91. Palp, prolateral view. 92. Same, dorsal view. 93. Same, retrolateral view. 94. Sternum, anterior part, ventral view. 95. Embolus, dorsal view. 96. Same, anteroventral view. 97. Habitus, lateral view. 98. Epigastric area, ventral view. 99. Genitalia, dorsal view.
FIGURES 292–306 in Three new genera of soft-bodied goblin spiders (Araneae, Oonopidae) from Mexico, Belize, and Guatemala
FIGURES 292–306. Emboonops nejapa, new species, male. 292. Left embolus, prolateral view. 293. Same, ventral view. 294. Same, retrolateral view. 295. Same, dorsal view. 296. Epigastric region, ventral view. 297. Spinnerets, distal view. 298. Anterior lateral spinnerets, ventral view. 299. Same, distal view. 300. Posterior median spinnerets, same. 301. Posterior lateral spinneret, same. 302. Claws of leg I, distal view. 303. Same, leg II. 304. Same, leg III. 305. Same, leg IV. 306. Trichobothrial base from metatarsus I, dorsal view.
FIGURES 16–30 in Three new genera of soft-bodied goblin spiders (Araneae, Oonopidae) from Mexico, Belize, and Guatemala
FIGURES 16–30. Toloonops chiapa, new species, male. 16. Leg I, retrolateral view. 17. Leg II, prolateral view. 18. Leg III, same. 19. Leg IV, same. 20. Claw, leg I, retrolateral view. 21. Claw, leg II, dorsal view. 22. Claw, leg III, prolateral view. 23. Same, leg IV. 24. Trichobothrial base, metatarsus IV, dorsal view. 25. Tarsal organ, leg I, dorsal view. 26. Same, leg II. 27. Same, leg III. 28. Same, leg IV. 29. Abdomen, ventral view. 30. Spinnerets, posterior view.
FIGURES 307–321 in Three new genera of soft-bodied goblin spiders (Araneae, Oonopidae) from Mexico, Belize, and Guatemala
FIGURES 307–321. Emboonops nejapa, new species, male (307–315) and female (316–321). 307. Claws of leg I, lateral view. 308. Same, leg II. 309. Same, leg III. 310. Same, leg IV. 311. Tarsal organ of leg I, dorsal view. 312. Same, leg II. 313. Same, leg III. 314. Same, leg IV. 315. Same, palp. 316. Carapace, dorsal view. 317. Same, lateral view. 318. Same, anterior view. 319. Sternum, ventral view. 320. Chelicerae, anterior view. 321. Same, posterior view.
FIGURES 247–261 in Three new genera of soft-bodied goblin spiders (Araneae, Oonopidae) from Mexico, Belize, and Guatemala
FIGURES 247–261. Guatemoonops chilasco, new species, female (247–254), and G. augustin, new species, female (255–261). 247. Habitus, dorsal view. 248, 257. Sternum, ventral view. 249. Abdomen, anterior view. 250, 258. Same, lateral view. 251. Spinnerets, ventral view. 252, 259. Epigastric area, ventral view. 253, 260. Genitalia, same. 254, 261. Same, dorsal view. 255. Carapace, dorsal view. 256. Same, anterior view.
FIGURES 232–246 in Three new genera of soft-bodied goblin spiders (Araneae, Oonopidae) from Mexico, Belize, and Guatemala
FIGURES 232–246. Guatemoonops rhino, new species, male (232–240), and G. jaba, new species, female (241–246). 232. Habitus, dorsal view. 233. Carapace, lateral view. 234. Sternum, ventral view. 235. Palp, prolateral view. 236. Same, dorsal view. 237. Same, retrolateral view. 238. Mouthparts, ventral view. 239. Bulb, dorsal view. 240. Embolus, anterodorsal view. 241. Carapace, dorsal view. 242. Same, anterior view. 243. Abdomen, lateral view. 244. Epigastric area, ventral view. 245. Genitalia, same. 246. Same, dorsal view.
FIGURES 73–87 in Three new genera of soft-bodied goblin spiders (Araneae, Oonopidae) from Mexico, Belize, and Guatemala
FIGURES 73–87. Toloonops jacala, new species, male. 73. Carapace, dorsal view. 74. Same, lateral view. 75. Sternum, ventral view. 76. Palp, prolateral view. 77. Same, dorsal view. 78. Same, retrolateral view. 79. Carapace, dorsal view. 80. Same, anterior view. 81. Mouthparts, ventral view. 82. Embolus, prolateral view. 83. Same, dorsal view. 84. Same, anteroventral view. 85. Embolus opening, same. 86. Embolus tip, retrolateral view. 87. Tarsal organ and cymbial cone, dorsal view.
Text-fig. 2. Soft-tissue imprints and traces of bioerosion on Middle Ordovician cephalopods from Estonia. a: GIT 819-1, Tragoceras falcatum (SCHLOTHEIM, 1820), drag bands; b: GIT 819-1, T. falcatum, pseudosutures; c: GIT 819-2, Estonioceras sp., drag bands; d: GIT 819-3, cf. Anthoceras vaginatum (SCHLOTHEIM, 1820), drag bands; e: GIT 819-4, cf. Orthoceras regulare SCHLOTHEIM, 1820, drag bands; f: Pits on the body chamber of GIT 819-1, T. falcatum. Specimens oriented with aperture downwards. Scale bars 1 mm. in Conch Structures, Soft-Tissue Imprints And Taphonomy Of The Middle Ordovician Cephalopod Tragoceras Falcatum From Estonia
Text-fig. 2. Soft-tissue imprints and traces of bioerosion on Middle Ordovician cephalopods from Estonia. a: GIT 819-1, Tragoceras falcatum (SCHLOTHEIM, 1820), drag bands; b: GIT 819-1, T. falcatum, pseudosutures; c: GIT 819-2, Estonioceras sp., drag bands; d: GIT 819-3, cf. Anthoceras vaginatum (SCHLOTHEIM, 1820), drag bands; e: GIT 819-4, cf. Orthoceras regulare SCHLOTHEIM, 1820, drag bands; f: Pits on the body chamber of GIT 819-1, T. falcatum. Specimens oriented with aperture downwards. Scale bars 1 mm.
Text-fig. 1. Megastriae and post mortem epicoles on Tragoceras falcatum (SCHLOTHEIM, 1820). Arrows and M1–M3 indicate megastriae, bryozoan colonies are indicated by B1 and B2. a: GIT 819-1, left lateral view; b: body chamber of GIT 819-1, dorsal view; c: body chamber of GIT 819-1, left lateral view; d: GIT 819-1, right lateral view; e: PIMUZ 37299, right lateral view; f: detail of the body chamber of GIT 819-1, right lateral view, encrusted by bryozoans; g: bryozoan colony with Trypanites borings growing on an older bryozoan crust GIT 819-1. Specimens oriented with aperture downwards. Scale bars 10 mm. in Conch Structures, Soft-Tissue Imprints And Taphonomy Of The Middle Ordovician Cephalopod Tragoceras Falcatum From Estonia
Text-fig. 1. Megastriae and post mortem epicoles on Tragoceras falcatum (SCHLOTHEIM, 1820). Arrows and M1–M3 indicate megastriae, bryozoan colonies are indicated by B1 and B2. a: GIT 819-1, left lateral view; b: body chamber of GIT 819-1, dorsal view; c: body chamber of GIT 819-1, left lateral view; d: GIT 819-1, right lateral view; e: PIMUZ 37299, right lateral view; f: detail of the body chamber of GIT 819-1, right lateral view, encrusted by bryozoans; g: bryozoan colony with Trypanites borings growing on an older bryozoan crust GIT 819-1. Specimens oriented with aperture downwards. Scale bars 10 mm.
Fig. 2 in Soft substratecrinoids(Crinoidea: Comatulida)andtheir macrosymbionts in Halong Bay (North Vietnam)
Fig. 2. Proximal ray articulations, branching patterns and arrangement of cirri: a, Comatula purpurea; b, Capillaster gracilicirrus; c, Amphimetra tessellata. IIBr and IIIBr division series. Scale bar = 1 cm.
Fig. 3 in Soft substratecrinoids(Crinoidea: Comatulida)andtheir macrosymbionts in Halong Bay (North Vietnam)
Fig. 3. Proximal ray articulations, branching patterns and arrangement of cirri. Scale bar = 1 cm. a, b, Oligometra serripinna; c, d, Zygometra cf. comata.
Photophysiology and molecular responses of the soft coral Sarcophyton cf glaucum exposed to heat and high light stress
<p>An experiment testing different temperatures (26 vs 32 ºC) and light intensities (high light HL and low light LL, ∼662 and 253 µmol photons m<sup>-2</sup> s<sup>-1</sup>) was carried out using the soft coral <em>Sarcophyton</em> cf <em>glaucum</em> (leather coral) as model species.</p> <p>In summary, corals were exposed to the different light intensities for 30 days (Photoacclimation, time-point 1) and a subsequent marine heatwave simulation was carried out for 10 days (Marine heatwave, time-point 2). Subsequently, corals were returned to control temperature and allowed to recover for 30 days (Recovery, time-point 3). Photophysiological performance (maximum quantum yield of photosystem II (Fv/Fm), a measure of photosynthetic activity; dark-level fluorescence (F<sub>0</sub>), as a proxy of chlorophyll <em>a</em> content; and zooxanthellae density) and stress biomarkers (total protein, catalase - CAT, superoxide dismutase - SOD, glutathione-S-transferase - GST, total antioxidant capacity - TAC, lipid peroxidation - LPO, ubiquitin - UBI, and heat shock protein 70 - Hsp70) were assessed in corals at these three time-points.</p>
How droplets dry on stretched soft substrates
<p>Raw data contain videos of drop evaporation, nanofocus and SEM images of deposition patterns, and SEM images of silica nanoparticles related to the paper:</p> <p>"How droplets dry on stretched soft substrates (2022)".</p> <p> </p>
Case study of a rapid prototyping method for optimizing soft gripper structures with integrated piezoresistive sensors
<p>Closed-loop control systems and monitoring the activities of soft robots in the natural environment require sensing elements in soft actuator modules. In this study, additive manufacturing is used for sensorized soft actuator modules to investigate the influence of the Shore hardness and design aspects of an open-source tendon-based gripper structure, in a time-efficient way. Additionally, the placement of the piezoresistive sensing element (tension or compression side on the bending soft gripper) was investigated. A user-friendly method, based on thermoplastic material extrusion, has been explored to improve the future design optimization in of active soft robotic structures successfully. A higher Shore hardness resulted in a higher total deflection and a higher force to bend the gripper structure. By increasing the geometrical stiffness of the gripper printed with low Shore hardness, the total deflection was increased, but the force needed to activate the movement was higher in comparison to high Shore hardness and low geometrical stiffness. Moreover, the sensing element on the substrate of higher Shore hardness, leads to low drift, monotonic response, with good sensitivity, independent of the sampling rate. The gripper of higher Shore hardness had a larger functional range, being capable of gripping small and larger objects.</p>
AHEAD2020 WP9.8 Soft Proton Response Matrix
<p>Low energy (< 300 keV) protons entering the field of view of the XMM-Newton telescope and scattering with the mirror surface are observed in the form of a sudden increase in the background level. Such flaring events, affecting about 30-40% of the XMM-Newton observing time, can hardly be disentangled from true X-ray events and cannot be rejected on board. All future high throughput gracing incidence X-ray telescopes operating outside the radiation belts (e.g. ATHENA) are potentially affected by soft proton induced contamination that must be foreseen and limited since the design phase. On the other side, a clear description of the interaction model would link the observed soft proton spectra by XMM-Newton to the ones hitting the telescope pupil, mapping the low energy particle environment along its orbit.</p> <p>Thanks to the latest validation studies on the physics models describing the reflection process of protons at grazing angles, we build a proton response matrix for the XMM-Newton and ATHENA missions, describing the effective area and energy redistribution of protons entering the mirror aperture. The simulation pipeline comprises two independent simulation frameworks for the X-ray optics reflectivity, based on ray-tracing and Geant4, and a Geant4 simulation for the proton transmission efficiency caused by the combination of optical filters, on-chip electrodes and the detection depletion regions, requiring a detailed mass model of the focal plane assemblies.</p> <p>The response matrix for protons will allow a better understanding of the proton radiation environment, with the aim of modeling the in-flight non X-ray background of current and future X-ray focusing telescopes. The XMM-Newton matrix will be used to analyze the mean energy spectra of the background flares, converting the mission into a “proton telescope”, while characterizing its particle background. The matrices for the ATHENA telescope will allow for a fast evaluation of the soft proton induced background for any input population, driving the design of shielding solutions.</p> <p>The response matrix is formatted according to the NASA OGIP (Office of Guest Investigators Program) calibration database (caldb) format, and it consists of an RMF and ARF file in FITS (Flexible Image Transport System) format. X-ray data analysis tools available to the X-ray astronomy community such as Xspec and SPEX can be used to simulate or analyse the soft proton-induced background spectra.</p> <p>The research leading to these results has received funding from the European Union’s Horizon 2020 Programme under the AHEAD2020 project (grant agreement n. 871158).</p>
Supplementary data to: Internal anatomy of brachyuran crab from a Late Cretaceous methane seep and an overview of internal soft tissues in fossil decapod crustaceans
<p>001-Secretanella_sp_AAK_072019.zip - µCT scan data, 1.28 GB stack of DICOM images. High-resolution X-ray computed tomography (CT) scans of specimen ALMNH:Paleo:6522 were obtained at the Berkeley Preclinical Imaging Facility (UC Berkeley, California, USA) in July 2019 using a GE Healthcare eXplore Locus Micro CT Scanner. The specimen was scanned using a conebeam energy of 80 kV, a current of 450 µA, 2,000 ms exposure time, and no filter, resulting in a voxel resolution of 20.523 µm. Visualization and three-dimensional reconstruction of the resulting µCT data were performed using the open-source software 3D Slicer v.4.13.0 (Fedorov et al., 2012).</p> <p>Additional_images_gifs_3Dmodel.zip - archive containing 3 folders of additionnal images, video (gifs) and a 3D model (STL file) :</p> <p>- Addendum_Figure_3 : additional images / views to the figure 3 presented in the paper.</p> <p>- Gifs_3d_models : gifs and STL 3d model of the scanned specimen</p> <p>- Images_gifs_inc_gastric_musc : images, gifs and 3d model similar as in the other folders, but displaying potential gastric muscles</p>
Soft governance and soft law literature, gathered from Scopus and Web of Science
<p>This is a list of literature related to soft governance and soft law.</p> <p>The soft governance literature was collected on the 12th of July, 2022. 110 articles from Web of Science and 169 articles from Scopus that had any variance of “soft govern*” in either their title, abstract or keywords were consolidated into one collection of 179 articles. These were randomly labelled with a SoftGov_000 identifier.</p> <p>The soft law literature was collected on the 12th of December, 2022. 1026 articles from Web of Science and 1803 articles from Scopus that had any variance of “soft law” in either their title, abstract or keywords were consolidated into one collection of 1960 articles. These were randomly labelled with a SoftLaw_0000 identifier.</p> <p>For the Web of Science searches in both phases, the specific WoS indices searched are “Science Citation Index Expanded” (SCI-EXPANDED)--1955-present, “Social Sciences Citation Index” (SSCI)--1956-present, “Arts & Humanities Citation Index” (AHCI)--1975-present, “Conference Proceedings Citation Index” – Science (CPCI-S)--1990-present, “Conference Proceedings Citation Index” – Social Science & Humanities (CPCI-SSH)--1990-present and “Emerging Sources Citation Index” (ESCI)--2017-present</p>
The Long-term energy planning with highly detailed demand modelling for Egypt: an IOA-MAED-OSeMOSYS soft-linking approach
<p>These files contain an updated model built for Egypt's power system as of 2023, with detailed demand simulation in 3 different scenarios; business as usual, high economic growth and industrial energy efficiency.</p> <p>Also, a multi region model built for Egypt, Sudan and Ethiopia power sector technologies for future cooperation scenarios.</p>
Core-Hole Spectroscopy of Energy Conversion and Storage Related-Phosphorus Compounds Using Soft and Hard X rays
<p>Dear reader,</p> <p> </p> <p>Please find attached the input files (.xml) and their corresponding outputs for the Exciting calculations of the imaginary component of the dielectric tensor ("XAS".dat) for: InP, GaP, red P and InPO4 which have been used in our publication:"Core-Hole Spectroscopy of Energy Conversion and Storage Related-Phosphorus Compounds Using Soft and Hard X rays". </p>
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.