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.
443
datasets available to search
ShareScore release 0.9.0
Dataset results
443 results for “Stage 4”
Fig. 7 in The endemic radiodonts of the Cambrian Stage 4 Guanshan Biota of South China
Fig. 7. Tamisiocarididae indet. from the Cambrian (Stage 4) Guanshan Biota, Lihuazhuang section, Yunnan, China. YKLP 12419, a partial frontal appendage. Counterpart (A1, A2), part (A3, A4). Photographs (A1, A3) and explanatory drawings (A2, A4). Abbreviations: aux, auxiliary spine; en, endite; pd, podomere.
Fig. 3 in The endemic radiodonts of the Cambrian Stage 4 Guanshan Biota of South China
Fig. 3. Amplectobeluid radiodont "Anomalocaris" kunmingensis Wang, Huang, and Hu, 2013, from the Cambrian (Stage 4) Guanshan Biota, Lihuazhuang section, Yunnan, China. YKLP 12414, details of left frontal appendage (A1, A2), details of oral cone (A3, A4). Photographs (A1, A3) and explanatory drawing (A2, A4). Abbreviations: co, central opening; ds, dorsal spine; en, endite; lp?, putative left large plate; pd, podomere; pp? putative posterior plate; rp, right large plate; s?, shaft podomere; sp, small plate. Numbers indicate individual small plates between posterior and left plates.
Fig. 6 in The endemic radiodonts of the Cambrian Stage 4 Guanshan Biota of South China
Fig. 6. Anomalocaridid radiodont Paranomalocaris simplex sp. nov. from the Cambrian (Stage 4) Guanshan Biota, Lihuazhuang section, Yunnan, China. A. YKLP 12417, a near complete frontal appendage. B. YKLP 12418, distal portion of a frontal appendage. Photographs (A1, B1) and explanatory drawings (A2, B2). Abbreviations: c, circular attachment point for dorsal spine; ds, dorsal spine; en, endite; pd, podomere; ts, terminal spine.
Fig. 2 in The endemic radiodonts of the Cambrian Stage 4 Guanshan Biota of South China
Fig. 2. Amplectobeluid radiodont "Anomalocaris" kunmingensis Wang, Huang, and Hu, 2013, from the Cambrian (Stage 4) Guanshan Biota, Lihuazhuang section, Yunnan, China. YKLP 12414, a pair of frontal appendages and associated oral cone. Abbreviations: la, left appendage; oc, oral cone; om, organic matter; ra, right appendage; w, ecdysozoan worm.
Fig. 4 in The endemic radiodonts of the Cambrian Stage 4 Guanshan Biota of South China
Fig. 4. Amplectobeluid radiodont "Anomalocaris" kunmingensis Wang, Huang, and Hu, 2013, from the Cambrian (Stage 4) Guanshan Biota, Lihuazhuang section, Yunnan, China. YKLP 12415, a partial frontal appendage. Photograph (A1) and explanatory drawing (A2). Abbreviations: aux, auxiliary spine; ds, dorsal spine; en, endite; pd, podomere; ts, terminal spine.
Fig. 1. A in The endemic radiodonts of the Cambrian Stage 4 Guanshan Biota of South China
Fig. 1. A. Map of China showing location of the studied area. B. Map showing thirteen sites where fossil assemblages assigned to the Cambrian (Stage 4) Guanshan biota have been found: 1, Dahai (Liu et al. 2012); 2, Shijiangjun (Luo et al. 2008); 3, Xinlongcun (Liu et al. 2016); 4, Wulongqing (Luo et al. 2008); 5, Kanfuqing (Chen et al. 2019); 6, Baimei (Liu et al. 2016); 7, Qiongzhusi (Luo et al. 2008); 9, Dabanqiao (Luo et al. 2008); 10, Changchunshan (Zhao et al. 2020); 11, Gaoloufang (Luo et al. 2008; Hu et al. 2010); 12, Chenggongxincheng (Hu et al. 2013); 13, Lihuazhuang (Jiao et al. 2016; this study). C. The location of the Lihuazhuang section in (asterisk). D. Stratigraphic column showing the occurrence of the fossils reported in this study.
Fig. 4 in Postcranial osteology of the first early-stage juvenile skeleton of Plateosaurus trossingensis from the Norian of Frick, Switzerland
Fig. 4. Middle and posterior dorsal vertebrae of juvenile Plateosaurus cf. trossingensis Fraas, 1913 skeleton MSF 15.8B. from the Norian of Frick, Switzerland. A. Dorsal vertebra 6, MSF 15.8.654 (neural arch) and MSF 15.8.906 (centrum), in left lateral (A1), dorsal (A2), ventral (A3), anterior (A4), and posterior (A5) views. B. Dorsal vertebra 7, MSF 15.8.1076 (neural arch) and MSF 15.8.437 (centrum), in left lateral (B1), dorsal (B2), ventral (B3), anterior (B4), and posterior (B5) views. C. Dorsal vertebra 8, MSF 15.8.885, in left lateral (C1), dorsal (C2), ventral (C3), anterior (C4), and posterior (C5) views. D. Dorsal vertebrae 9 or 10, MSF 15.8.728 (neural arch) and MSF 15.8.679 (centrum), in left lateral (D1), dorsal (D2), ventral (D3), anterior (D4), and posterior (D5) views. E. Dorsal vertebra 12, MSF 15.8.468 (neural arch) and MSF 15.8.2007 (centrum), in left lateral (E1), dorsal (E2), ventral (E3), anterior (E4), and posterior (E5) views. Scale bars 10 mm.
Figure 4 in Dynamics of arbuscular mycorrhizal fungi in relation to root colonization, spore density, and soil properties among different spreading stages of the exotic plant threeflower beggarweed (Desmodium triflorum) in a ZoysiO tenuifoliO lawn
Figure 4. Correlations among the root mycorrhizal colonizations, arbuscular mycorrhizal fungal spore densities ("AMF spore density"), and soil properties in different coverage levels of Desmodium triflorum. ZTC, ZHC, and ZVC in light-green circles indicate the total colonization (TC), hyphal colonization (HC), and vesicular colonization (VC) of Zoysia tenuifolia, respectively. DTC, DHC, and DVC in light-red circles indicate the TC, HC, and VC of D. triflorum, respectively. Green lines and green-colored numbers indicate significant correlations between the colonization indicators of Z. tenuifolia and corresponding correlation coefficients, respectively. Red lines and red-colored numbers indicate significant correlations between the colonization indicators of Z. tenuifolia and corresponding correlation coefficients, respectively. Dark-green double arrows and dark-green numbers indicate the correlations between the colonizations of Z. tenuifolia and those of D. triflorum and corresponding correlation coefficients, respectively. Light-blue double arrows and light-blue numbers indicate the correlations between the spore densities and soil properties/root colonizations and corresponding correlation coefficients,respectively. Darkyellow double arrows and dark-yellow numbers indicate the correlations between the soil properties and root colonizations and corresponding correlation coefficients, respectively. Correlation is significant at: *P <0.05; **P <0.01; ***P <0.001. The minus sign indicates a negative correlation. Insignificant correlations are not shown.
Figure 4 in Plant age, crop stage and surrounding habitats: their impact on sucking pests and predators complex in cotton (Gossypium hirsutum L.) field plots in arid climate at district Layyah, Punjab, Pakistan
Figure 4. Means (±SE) number of sucking insect pests (jassid, thrips, whitefly) and predators (green lacewing, spider) in cotton field plots at three locations (five replications) with different surrounding habitats (sugarcane + sesame, monoculture, sesame) during cropping season of cotton from June 20 to September 18, 2018 at Layyah, Punjab, Pakistan.
Figs. 1–4. Adeloneivaia fallax, adult. 1 and 2 in Immature stages of Adeloneivaia fallax (Lepidoptera: Saturniidae)
Figs. 1–4. Adeloneivaia fallax, adult. 1 and 2. Male, dorsal and ventral views, respectively. 3 and 4. Female, idem.
Fig. 4 in Impacts of azadirachtin and chlorantraniliprole on the developmental stages of pirate bug predators (Hemiptera: Anthocoridae) of the tomato pinworm Tuta absoluta (Lepidoptera: Gelechiidae)
Fig. 4. Proportion of nymphs of Blaptostethus pallescens that reached the adult stage afer early exposure to azadirachtin and chlorantraniliprole via three routes of exposure (ingestion, residue contact and direct spray). *Comparison between two bars is statistically significant (survival analysis/log rank test, P <0.05).
Рис. 1–8. Barsine pulchra (Butler, 1877): 1–2 — самцы; 3 — самка; 4 — генитаΛии самца; 5 — кокон; 6 — кукоΛка; 7–8 — гусеница. Масштабная Λинейка — 5 мм Figs. 1-8. Barsine pulchra (Butler, 1877): 1–2 — male; 3 — female; 4 — male genitalia; 5 — cocoon; 6 — pupa; 7–8 — larva. Scale bar — 5 mm in The first data on preimaginal stages of Barsine pulchra (Butler, 1877) (Erebidae: Arctiinae)
Рис. 1–8. Barsine pulchra (Butler, 1877): 1–2 — самцы; 3 — самка; 4 — генитаΛии самца; 5 — кокон; 6 — кукоΛка; 7–8 — гусеница. Масштабная Λинейка — 5 мм Figs. 1-8. Barsine pulchra (Butler, 1877): 1–2 — male; 3 — female; 4 — male genitalia; 5 — cocoon; 6 — pupa; 7–8 — larva. Scale bar — 5 mm
Fig. 4 in Molecular Identification of Mid to Final Stage Slipper Lobster Phyllosoma Larvae of the Genus (Crustacea: Decapoda: Scyllaridae) Collected in the Pacific with Descriptions of Their Larval Morphology.
Fig. 4. Phyllosoma larva of Chelarctus virgosus, stage V. A, ventral view; B, ventral view of eye, antennule and antenna; C, 2nd maxillule, 1st and 2nd maxilliped; D, distal end of 2nd maxilliped; E ventral view of 1st maxillule; F, ventral view of 5th pereiopod and abdomen; G, dorsal view of 5th pereiopod and abdomen.
Fig. 4 in Fig. 2. Gonadal development during Yntema stages 15, 17, 19 in Bruggmanniella sanlianensis Lin, Yang & Tokuda, 2020, sp. nov.
Fig. 4. Holotype of Austruca citrus n. sp. (MNHN-IU-2017-9121; CW 10.9 mm). A, dorsal view; B, major chela; C, pleon and telson; D, third maxillipeds. Scale bars: A, B = 5.0 mm; C, D = 2.0 mm.
BRAIN Journal-An Enhancement over Texture Feature Based Multiclass Image Classification under Unknown Noise-Figure 4. Principal stages of image classification system
<p>In computer vision, images or objects are recognised by machine going through two phases<br> shown in the figure 4. First the system is trained with features extracted from sample images in<br> training stage then they are tested on input images in testing stage. The performance of the classifier<br> depends on features extracted from the image. This research work is carried out in three different<br> experiments, first experiment is performed on data set containing the original images of sixteen<br> categories, noisy images are classified in second experiment, and third experiment detects the type<br> of noise affected the image followed by filtering through appropriate filter, then filtered images are<br> classified. The performance of each of the experiment is measured with two approaches. First<br> approach extracts the statistical texture features of the whole image, and the original image of size<br> 128x128 is divided into sixteen blocks of size 32x32 pixels in second approach. Then six statistical<br> texture features discussed in second section are extracted from each of the block producing 96<br> features from each of the images are used for training and testing stage.</p>
The Fundamentals Regarding the Usage of the Concept of Interface for the Modeling of the Software Artefacts-Figure 4. The artefact during the initial structuring stage
<p>The IT developer elaborates the detailed structure of the artefact, while considering several aspects:</p> <p>— The resources that are necessary to the artefact in order to accomplish its mission;</p> <p>— The artefact’s resistance to the changes regarding the functional requirements;</p> <p>— The artefact’s resistance to the technological changes;</p> <p>— The reasonably priced integration of the artefact in the structure of the host system;</p> <p>— The assurance of a reasonable reusability coefficient of the artefact during the struc- turing process of other artefacts;</p> <p>— The flexibility of the relations that exist among the components of the artefact;</p> <p>— The flexibility of the artefact’s connections with the host system.</p> <p> </p>
The Prediction of the Rate of the Dropout of the Primary Schools Students by Using the Genetic Algorithm-Figure 4. Drawing of autocorrelation function and partial correlation for males primary stage students
<p>We get to notice the stability of the time series, and to be more accurate we draw each (Autocorrelation Function) ACF, and (Partial Autocorrelation Function) PACF in a row to ensure the stability according to the figure (4).</p>
Fig. 4 in A new species of Macrostemum Kolenati, 1859 from Brazilian Amazon and the immature stages of M. brasiliense (Fischer, 1970) (Trichoptera: Hydropsychidae)
Fig. 4. Macrostemum araca sp. nov., female genitalia. A. Lateral view. B. Dorsal view. C. Ventral view. D. Vaginal apparatus. Scale bars: A–C = 0.2 mm; D = 0.1 mm.
Figure 4 in Heart rate response and bimodal gas eXchange in three developmental stages of the bullfrog Lithobates catesbeianus (Anura: Ranidae)
Figure 4. Mass-specific oxygen consumption (A) and carbon dioxide released (B) for aerial (red lines and points) and aquatic (blue lines and points) gas exchange during development of Lithobates catesbeianus.
Fig. 4 in A redescription of Antispastis clarkei Pastrana (Lepidoptera, Glyphipterigidae) immature stages, with notes on the life history and phylogenetic placement of the genus
Fig. 4. Scanning electron micrographs of Antispastis clarkei egg (A–C) and first larval instar (D–N): A, general view of egg, latero-dorsal; B, micropylar region on anterior pole, lateral; C, aeropyle, dorsal; D, general view of first instar, lateral; E, F, head, dorsal and anterior, respectively; G, detail of mandible, antenna and maxilla, antero-lateral (asterisk indicates corrugated nature of the mandibular base in association with the antennal antocoria); H, labium, antero-lateral (arrow indicates spinneret); I, stemmata, lateral; J, mesothoracic leg, postero-dorsal; K, tarsal claw in detail, mesal (asterisk indicates associated spatulate seta); L, M, prothoracic and third abdominal spiracles lateral; N, last abdominal segments postero-dorsal. Scale bars = 150, 15, 5, 100, 50, 30, 15, 10, 10, 10, 5, 10, 5, 20 µm, respectively.
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.