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.
589
datasets available to search
ShareScore release 0.9.0
Dataset results
589 results for “polyp”
FIGURE 10. Knopia octocontacanalis n. gen., n in Pinnuleless polyps: a new genus and new species of IndoPacific Clavulariidae and validation of the soft coral genus Acrossota and the family Acrossotidae (Coelenterata: Octocorallia)
FIGURE 10. Knopia octocontacanalis n. gen., n. sp.: A, live polyps cocollected with paratypes from Kotok Is.; B, polyps of Briareum cf. stechei, note very small pinnules; C, holotype tentacular sclerites in situ.
FIGURE 6 in Morphology and life cycle of Carybdea morandinii, sp. nov. (Cnidaria), a cubozoan with zooxanthellae and peculiar polyp anatomy
FIGURE 6. Line drawing of a 3-month-old medusa of Carybdea morandinii (bell height approximately 5 mm).
FIGURE 3 in Morphology and life cycle of Carybdea morandinii, sp. nov. (Cnidaria), a cubozoan with zooxanthellae and peculiar polyp anatomy
FIGURE 3. Cyst with anchor mucus threads (white FIGURE 4. Cyst with anchor mucus threads (black arrow) as resting stage, attached to substrate; P = arrow) as resting stage, attached to water surface; Z = polyp, PH = mucus cover, Z = cyst. cyst.
FIGURE 1 in Morphology and life cycle of Carybdea morandinii, sp. nov. (Cnidaria), a cubozoan with zooxanthellae and peculiar polyp anatomy
FIGURE 1. Polyp anatomy of Carybdea marsupialis (after Jarms 2003; Type 1: unchambered gastric cavity) compared with that of Carybdea morandinii, sp. nov. (Type 2: horizontally divided twochambered gastric cavity).
FIGURE 5 in Morphology and life cycle of Carybdea morandinii, sp. nov. (Cnidaria), a cubozoan with zooxanthellae and peculiar polyp anatomy
FIGURE 5. Creeping polyp of Carybdea morandinii, sp. nov. Note the presence of zooxanthellae in the oral end.
FIGURE 2 in Morphology and life cycle of Carybdea morandinii, sp. nov. (Cnidaria), a cubozoan with zooxanthellae and peculiar polyp anatomy
FIGURE 2. Longitudunal sections of the polyp of Carybdea morandinii, sp. nov. a) Histological section of the hypostome region; the shutter-lens-like diaphragm was torn off at the right side during sectioning. b) Histological section of one side of the hypostome, showing zooxanthellae in the mouth region (Z) and green-stained mesoglea branching into the shutter-lens-like diaphragm lid (white arrow); C = calyx, Ec = epidermal tissue, En = gastrodermal tissue, H = Hypostome, M = mesoglea, Tb = tentacle base, D = shutter-lens-like diaphragm, Z = zooxanthellae.
FIGURE 3. Colony and polyp morphology. A in Armadillogorgia albertoi sp. nov.: a new primnoid from the Argentinean deep sea
FIGURE 3. Colony and polyp morphology. A. Colony, lateral view; B. Colony, up-side view; C. Polyp, oral pore view; D. Polyp, detail of lateral side, E. Polyp, abaxial view; F. Polyp, lateral view; G. Polyp, adaxial view. A (MACN-IN 39214-II); B–G (MACN-IN 39214-II).
FIGURE 5 in The polyps of Oceania armata identified by DNA barcoding (Cnidaria, Hydrozoa)
FIGURE 5. Maximum likelihood phylogenetic tree of Oceania and Turritopsis species based on 579 bp of the COI gene: 50% majority consensus tree obtained with PhyMl (TIM+I model). Node–support values are bootstrap values (shown only if> 70%). The tree was rooted using the outgroup taxon. For more details see text and Table 1.
FIGURE 4 in The polyps of Oceania armata identified by DNA barcoding (Cnidaria, Hydrozoa)
FIGURE 4. Maximum likelihood phylogenetic tree of Oceania and Turritopsis species based on 591 bp of the 16S gene: 50% majority consensus tree obtained with PhyMl (GTR+G model). Node–support values are bootstrap values (shown only if> 70%). The tree was rooted using the outgroup taxon. For more details see text and Table 1.
FIGURE 3 in The polyps of Oceania armata identified by DNA barcoding (Cnidaria, Hydrozoa)
FIGURE 3. Oceaniidae hydroid from the Andaman Sea initially identified as Turritopsis chevalense, after molecular comparisons attributed to Oceania armata, MHNG-INVE-78812. A. Drawing of hydranth and medusa bud. B. Nematocysts: microbasic eurytele and desmoneme.
FIGURE 2 in The polyps of Oceania armata identified by DNA barcoding (Cnidaria, Hydrozoa)
FIGURE 2. Oceaniidae hydroid from the Andaman Sea initially identified as Turritopsis chevalense, after molecular comparisons attributed to Oceania armata, MHNG-INVE-78812. A. Preserved colony. B. Terminal branch after removal of soft tissue. Note that the side branch originating near the asterisk (*) remains adnate until it curves away (arrow).
FIGURE 1 in The polyps of Oceania armata identified by DNA barcoding (Cnidaria, Hydrozoa)
FIGURE 1. Oceania armata Kölliker, 1853. A. Living medusa (bell height and width about 9 mm) from the Bay of Villefranche–sur–Mer. The specimen was used to obtain the DNA sample DNA1148. B. Microphoto of mouth margin of sample MHNG-INVE-87094, note stalked nematocyst clusters.
Bibliometrics-of-gastrointestinal-polyps
Open the record for dataset details and reuse information.
raw data - Association between Bristol Stool Form Scale and the risk of colorectal polyp recurrence: A retrospective cohort study
Open the record for dataset details and reuse information.
Fig. 6 in Identification of the polyp stage of three leptomedusa species using DNA barcoding
Fig. 6. Racemoramus panicula (G. O. Sars, 1874), sample MHNG-INVE-48748 from Korsfjord after DNA extraction, schematic drawing of part of main stem and some side-branches (some broken off).
Fig. 5 in Identification of the polyp stage of three leptomedusa species using DNA barcoding
Fig. 5. Earleria quadrata (Hosia & Pages, 2007), living medusa from Korsfjord, one individual in a catch of four used to obtain DNA isolate 1162.
Fig. 4 in Identification of the polyp stage of three leptomedusa species using DNA barcoding
Fig. 4. Stegopoma plicatile (M. Sars, 1863), preserved sample MHNG-INVE-69614 (yielding DNA isolate 803) from Korsfjord, Norway, 650 m. (A) Whole colony. (B) Hydrotheca. (C) Branch with gonotheca (arrow). ►
Fig. 3 in Identification of the polyp stage of three leptomedusa species using DNA barcoding
Fig. 3. Ptychogena crocea Kramp & Dumas, 1925, living medusae, except C, from Korsfjord, Norway. (A) MHNG-INVE-94101, lateral view, bell diameter 23 mm height 14 mm. (B) Same specimen as in A, close up of gonads. (C) Same specimen as in A, nematocysts. (D) Younger individual, used to obtain DNA isolate 1163. (E) Same as D, close up of bell margin seen from oral side, showing tentacles, tentacle stumps and several cordyli.
Fig 7 in Identification of the polyp stage of three leptomedusa species using DNA barcoding
Fig 7. Cyclocanna welshi, lateral view, width about 10 mm, living medusa one day after capture, the bell is inverted and has shrunken considerably as it is usual for sensitive hydromedusae. Details: go = gonad, ma = manubrium, rt = short type of tentacle, st = statocyst, tb = bulb of large tentacle type.
Colorectal-polyps-gaze-dataset
<p><strong> </strong><strong>Gaze-based attention network </strong></p> <p>Automatic and accurate classification of colorectal polyps based on convolutional neural networks (CNNs) during endoscopy is vital for assisting endoscopists in diagnosis and treatment. However, this task remains challenging due to the difficult data acquisition and annotation process, the poor interpretability, and the weak clinical acceptance of the CNN models. To tackle these dilemmas, we propose an innovative approach that utilizes endoscopists' gaze attention information as an auxiliary supervisory signal to train a CNN-based model for colorectal polyps classification. Specifically, the endoscopists’ gaze information when reading endoscopic images is first recorded through an eye-tracker. Then, the gaze information is processed and applied to supervise the CNN model's attention via an attention consistency module. The proposed gaze-based attention network contains a classification module and an attention consistency module.</p> <p><strong>Colorectal-polyps-gaze-dataset</strong></p> <p>We constructed the colorectal polyps gaze dataset, which contained NBI images of colorectal polyps and the corresponding gaze attention images (i.e., gaze attention maps and gaze attention heatmaps). All data collection and annotation processes are carried out by following the tenets of the Declaration of Helsinki. Firstly, a junior endoscopist retrospectively searched the NBI observation data of colonoscopy at Xiangyang Central Hospital from January 1, 2023, to March 10, 2024. The criterion for inclusion is that patients with colorectal polyps must have corresponding pathology reports, that is to say, the pathological examination is the gold standard of the diagnosis. According to this criterion, we collected 585 NBI images with colorectal polyps of 87 patients. Secondly, a senior endoscopist classified the 585 NBI images into three categories based on the NICE classification method. During this classification process, the endoscopist’s eye movement information would be recorded and used to generate the gaze attention images. Finally, a patient-level data splitting was performed to develop and validate the proposed methods. The selected patients and their corresponding images were randomly split into three sets, of which 60% was utilized for training, 20% was used for validation and the rest was utilized for testing. In the training and validation sets, we had the original image and the gaze attention images which generated from eye movement information. In the test set, only the original NBI images were included to test the actual performance of the trained models. </p> <p> </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.