Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
4,107
datasets available to search
ShareScore release 0.9.0
Dataset results
4,107 results for “pointing”
Figure 2 in A new genus of monstrilloid copepods (Crustacea) with anteriorly pointing ovigerous spines and related adaptations for subthoracic brooding
Figure 2. Maemonstrilla hyottoko sp. nov., female paratypes (SO lab), Sesoko Island, 13.viii.1989, SEM. A, cephalothorax and metasome in lateral view, left legs removed. B, metasome and urosome of same specimen, lateral view, showing ovigerous spines (os) and leg 5 (numbered). C, metasome and urosome of different specimen, ventral view, showing ovigerous spines (small arrow), widely spaced legs 1–4, and low, wide intercoxal sclerites (e.g. large arrow). D, genital compound somite of specimen in A, ventrolateral view, showing base of ovigerous spines, copulatory opening (arrow), and spur-like posteroventral process. Scale bars = 200 Mm in A; 100 Mm in B, C; 20 Mm in D.
Figure 6. Diagrammatic quadruped seen from above. Points A-D in Support polygons and symmetrical gaits in mammals
Figure 6. Diagrammatic quadruped seen from above. Points A-D represent the animal's four feet; point G represents the vertical drawn through its centre of gravity. The animal will be more nearly balanced when standing on two diagonally opposite feet (A, C) than when standing on two ipsilateral feet (A, D), as long as G is closer to line AC than to line AD – which will be the case in most situations.
Figure 15 in New organic-walled Foraminifera (Protista) from the ocean's deepest point, the Challenger Deep (western Pacific Ocean)
Figure 15. Conicotheca nigrans gen. et sp. nov. A–E, transmission light and scanning electron micrographs of same specimen. A, B, general views. C, aperture. D, proximal part of test ('proloculus') showing smooth surface. E, part of test with rougher surface covered in scale-like features, probably clay particles. F–H, transmission light and scanning electron micrographs of same specimen. F, G, general views. H, distal (apertural) end.
Figure 14 in New organic-walled Foraminifera (Protista) from the ocean's deepest point, the Challenger Deep (western Pacific Ocean)
Figure 14. Conicotheca nigrans gen. et sp. nov. Transmission light micrographs of specimens on open slides in glycerol. A, holotype, reg. no. MPC-02704. B–D, paratypes, reg. nos. MPC-02699-02701. E–I, paratypes, reg. nos. ZF 5168. J–P, additional specimens. All scale bars = 25 Mm.
Figure 11 in New organic-walled Foraminifera (Protista) from the ocean's deepest point, the Challenger Deep (western Pacific Ocean)
Figure 11. Resigella bilocularis sp. nov. Transmission light micrographs of specimens on open slides in glycerol. A, holotype, reg. no. MPC-02697. B, paratype, reg. no. MPC-02696. C, D, general view and detail of specimen illustrated by SEM in Figure 12A–B. E, general view of specimen illustrated by SEM in Figure 13E–F. G, specimen with delicate partition in front of stercomata. H, paratype, reg. no. ZF 5171. I, small specimen with clearly developed neck between the two chambers. All scale bars = 50 Mm.
Figure 10 in New organic-walled Foraminifera (Protista) from the ocean's deepest point, the Challenger Deep (western Pacific Ocean)
Figure 10. Resigella laevis sp. nov. Scanning electron micrographs. A, B, aperture. C, D, surface of test near aperture showing relatively sparse development of finger-like projections. E, general view of test. F, aperture. G, broken section of wall.
Figure 9 in New organic-walled Foraminifera (Protista) from the ocean's deepest point, the Challenger Deep (western Pacific Ocean)
Figure 9. Resigella laevis sp. nov. Scanning electron micrographs. A, general view of test. B, proloculus. C, detail of interdigitated border between smooth organic surface of proloculus and highly ornamented organic surface of later chambers; boxes indicate areas shown in detail in D and F. D, E, surface of chamber immediately in front of proloculus showing mass of finger-like projections; the flat features are probably clay particles. F, G, surface of proloculus.
Figure 8 in New organic-walled Foraminifera (Protista) from the ocean's deepest point, the Challenger Deep (western Pacific Ocean)
Figure 8. Resigella laevis sp. nov. Transmission light micrographs of specimens on open slides in glycerol. A, holotype, reg. no. MPC-02710. B–G, paratypes, reg. nos. MPC-02711-02715. H, I, paratypes, reg. nos. ZF 5170. J–O, other specimens; M shows detail of final chamber with partition in front of stercomata; O shows detail of final chamber with mass of cytoplasm in front of stercomata. All scale bars = 50 Mm except where indicated otherwise.
Figure 7 in New organic-walled Foraminifera (Protista) from the ocean's deepest point, the Challenger Deep (western Pacific Ocean)
Figure 7. Nodellum aculeata sp. nov. Scanning electron micrographs. A, general view of test; area indicated by box is shown in detail in F. B, damaged region showing curved lines of fracture. C, D, broken sections of the wall showing probable agglutinated grain and lack of internal structure. E, inner surface of wall. F, G, surface of wall showing scale-like patches (probably clay particles) surrounded by masses of tiny, finger-like projections.
Figure 6 in New organic-walled Foraminifera (Protista) from the ocean's deepest point, the Challenger Deep (western Pacific Ocean)
Figure 6. Nodellum aculeata sp. nov. Scanning electron micrographs. A, general view of entire specimen; boxes indicate areas shown in detail in other images. B, C, progressively closer views of test surface near the aperture. D, E, progressively closer views of test surface near proloculus. Note the finger-like projections covering the surface of the wall in both areas.
Figure 5 in New organic-walled Foraminifera (Protista) from the ocean's deepest point, the Challenger Deep (western Pacific Ocean)
Figure 5. Nodellum aculeata sp. nov. Scanning electron micrographs of test apertures. A, C, D, specimens in which test tapers gently towards circular aperture. B, specimen with abruptly truncated apertural end (entire test shown in Fig. 3E). The specimen shown in D is probable dead (empty); those shown in A–C probably contain cytoplasm. All scale bars = 10 Mm.
Figure 3 in New organic-walled Foraminifera (Protista) from the ocean's deepest point, the Challenger Deep (western Pacific Ocean)
Figure 3. Nodellum aculeata sp. nov. Scanning electron micrographs. A, general view of entire specimen. B, proloculus with rounded end; boxes indicate areas shown in detail in C and D. C–D, details of proloculus; most of the surface is strewn with rod-like particles but the organic wall is exposed in irregular patches. E, oblique view of aperture. F, general view of entire specimen with pointed proloculus and abruptly truncated distal end.
Figure 4 in New organic-walled Foraminifera (Protista) from the ocean's deepest point, the Challenger Deep (western Pacific Ocean)
Figure 4. Nodellum aculeata sp. nov. Scanning electron micrographs. A, general view of entire specimen with somewhat crooked shape; box indicates area shown in detail in E. B, proloculus. C, pointed end of proloculus showing tip devoid of agglutinated particles. D, transition between surface of proloculus with agglutinated particles (to left) and predominately organic surface of the main tubular part of the test; note the interdigitation of the two areas. E, detail of surface. F, higher magnification showing tiny, finger-like projections covering test surface.
Figure 16 in New organic-walled Foraminifera (Protista) from the ocean's deepest point, the Challenger Deep (western Pacific Ocean)
Figure 16. Conicotheca nigrans gen. et sp. nov. Scanning electron micrographs of same specimen. A, general view; area indicated by box is shown in detail in C. B, aperture. C, detail of surface. D, proximal part of test with swollen 'proloculus'; areas indicated by boxes are shown in detail in E and F. E, smooth area on 'proloculus'. F, rough area with scale-like features, probably clay particles.
Figure 2 in New organic-walled Foraminifera (Protista) from the ocean's deepest point, the Challenger Deep (western Pacific Ocean)
Figure 2. Nodellum aculeata sp. nov. Scanning electron micrographs. A, proloculus; box indicates area shown in C. B, transition between surface of proloculus with obvious agglutinated particles (to left) and predominately organic surface of the main tubular part of the test. C–F, progressively closer views showing rod-like agglutinated particles strewn across the surface of the proloculus.
Figure 1 in New organic-walled Foraminifera (Protista) from the ocean's deepest point, the Challenger Deep (western Pacific Ocean)
Figure 1. Nodellum aculeata sp. nov. Transmission light micrographs of type specimens, on open slides in glycerol. A, holotype, reg. no. MPC-02705. B–H, paratypes, reg. nos. ZF 5169; F, detail of distal end showing mass of cytoplasm. I–O, paratypes, reg. nos. MPC-02706-02709; K, detail of proloculus with rounded end; M, detail of distal part of specimen showing abrupt decrease in width and truncated end. All scales bars = 100 Mm except where indicated otherwise.
Astroclimate measurements on several points over Eastern hemisphere in 2-mm and 3-millimeter atmospheric transparency windows using tipping radiometer
<p>We are presenting results of the atmospheric propagation observations which our research group has been conducting since 2012. Over this time, we have gathered statistical data of atmospheric propagation over a number of sites which possibly can be used for radio astronomical observations in the millimetre and sub-millimetre bandwidths. The Zenith opacity was studied by the atmospheric dip method in the 3 mm and 2 mm atmospheric windows. The dataset is recommended to use for estimation of atmospheric propagation for the purpose of radio astronomy and telecommunications.</p> <p>The “tau-meter” (named MIAP-2) allows us to estimate an integral absorption by using the atmospheric dip method. The hardware includes a radiometric system comprising two self-contained radiometers operating in two different bands of 84-99 GHz (λ ~ 3 mm) and 132-148 GHz (λ ~ 2 mm), a rotary support, a control, and a firmware system. The radiometers work in modulation mode within 36 Hz modulation frequency. Floating mirror allows radiometer to scan the sky in the interval of 0 – 88.5 elevation angles (6 total). The output record contains the voltages of synchronous detector for each angle in 2 wavebands. The voltage is proportional to brightness temperature of the sky in corresponding waveband. (It has negative value for technical reasons.)</p> <p>The dataset contains raw data observed by radiometer: Local date and time, a several detector voltages on different elevation angles for 2 wavebands, as well as service information header. The first 6 columns contain optical depth calculated by old method and it’s no more used in data processing since the new algorithm has been invented in 2018.</p>
ULS and UAV-MS Directly Georeferenced Point Clouds of the River Teme
<p>Directly Georeferenced Point Clouds of the River Teme for PhD research, provided as supporting information to methods described. These are unfiltered point clouds of a vegetated river reach in the UK, given in WGS UTM_30N CRS. UAV-MS are SfM derived point clouds and ULS UAV laser scanning based point clouds.</p>
Vegetation Stratum Occupancy Prediction from Airborne LiDAR 3D Point Clouds
<p>Our proposed dataset comprises 199 cylindrical plots of 10 m radius corresponding to typical pasture land parcels in South-Eastern France. Each plot contains between 3000 and 17000 3D points, and each point is attributed with a total of 10 features: (i) absolute 3D coordinates, (ii) RGB and Near-InfraRed reflectance obtained with aerial cameras, (iii) uncalibrated laser intensity, return number and number of returns provided by the aerial LiDAR.</p> <p>This dataset can be used as training data for our model deep learning model "Vegetation Stratum Occupancy Prediction from Airborne LiDAR 3D Point Clouds" available on <a href="https://github.com/ekalinicheva/plot_vegetation_coverage">https://github.com/ekalinicheva/plot_vegetation_coverage</a></p> <p> </p>
Tsunami Observation Points Database in Eastern Mediterranean
<p>Knowledge of the tsunami observation points of past tsunamis is of great importance since it may help in studies of several kinds, such as better understanding of the source type, determination of the inundation area, and verification of tsunami simulation results. </p> <p>Plenty of information is available about the Tsunami Observation Points (TOPs) of many historical and modern tsunamis observed in Greece and in other areas of the eastern Mediterranean region. The TOPs Database is a systematic compilation of such kind of information. For a specific tsunami event, the TOPs DB includes the source epicenter, the TOPs names and the corresponding geographical coordinates, the names of the localities, and a characterization of the tsunami intensity level, K, in each TOP. K has been estimated according to the 12-grade tsunami intensity scale by Papadopoulos and Imamura (2001). </p> <p>In its current form the TOPs DB provides information about 61 TOPs related to the 9 July 1956 large seismic tsunami generated in the south Aegean Sea. Information about the TOPs and the impact of the wave in each TOP can be found in the publications by Galanopoulos (1957), Ambraseys (1960), Papadopoulos et al. (2005) and Okal et al. (2009). The tsunami intensities have been estimated by Dr G.A. Papadopoulos and Dr I. Triantafyllou. Earthquake source parameters have been adopted from the ISC-GEM (2023) catalogue. </p> <p>The TOPs DB will be gradually expanded with the aim to finally include all the known tsunami events to have occurred in Greece and in other eastern Mediterranean regions in modern and historical times. </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.