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.
990
datasets available to search
ShareScore release 0.7.1
Dataset results
990 results for “Hippocampus”
Fig. 1. A in Scientific Note Novel sex-related characteristics of the longsnout seahorse Hippocampus reidi Ginsburg, 1933
Fig. 1. A captive-reared male of Hippocampus reidi, showing (A) the prominent and pigmented keel and (B) dorsolateral spots. Photo credits: T. P. R. Oliveira.
Fig. 2 in Scientific Note Novel sex-related characteristics of the longsnout seahorse Hippocampus reidi Ginsburg, 1933
Fig. 2. Occurrence of dorsolateral spots according to sex in Hippocampus reidi. Specimens presenting dorsolateral spots (black bars); specimens without dorsolateral spots (grey bars). (*) Significant difference (p <0.001).
BRAIN Journal-New Computer Assisted Diagnostic to Detect Alzheimer Disease-Figure 8. The results of the segmentation of the hippocampus.
<p>The results show the hippocampus segmentation using both Caselle, Chan&Vese, Lankton and our method. </p> <p>The results of the segmentation of the hippocampus. The six lines present: image zoom on the hippocampus area, manually segmented image, the result of the Caselle method, the result of the Chan&Vese method, the result of the Lankton method, the result of our method. Column 1 shows a healthy subject, column 2 shows a MCI (primary stage) and the third column corresponds to an Alzheimer's subject (advanced stage)</p>
BRAIN Journal-New Computer Assisted Diagnostic to Detect Alzheimer Disease-Figure 1. Three hippocampus: Normal, MCI, AD
<p>In this context is our work: performing a diagnostic computer-aided system for detecting Alzheimer's disease. Like any diagnostic system, our system contains three parts: preprocessing, segmentation and classification. Initially, we will present a new segmentation method to segment the Hippocampus and Corpus Callosum regardless of the patient's condition. </p>
Figure 1. - Map showing the locations where seahorses H. hippocampus were recorded. 1 in Variables psicológicas implicadas en el desempeño laboral docente
Figure 1. - Map showing the locations where seahorses H. hippocampus were recorded. 1: Bueu; 2: Toralla Island.
Figure 1 in First record of the near threatened native seahorse Hippocampus reidi (Teleostei: Syngnathidae) in an ecosystem dominated by the invasive seagrass Halophila stipulacea in the Caribbean Sea
Figure 1. – Specimen of Hippocampus reidi Ginsburg, 1933, photographed in a dense Halophila stipulacea seagrass bed on the west coast of Martinique Island, on 9th June 2017.
Neural representations of space in the hippocampus of a food-caching bird
<p>Spatial memory in vertebrates requires brain regions homologous to the mammalian hippocampus. Between vertebrate clades, however, these regions are anatomically distinct and appear to produce different spatial patterns of neural activity. We asked whether hippocampal activity is fundamentally different even between distant vertebrates that share a strong dependence on spatial memory. We studied tufted titmice, food-caching birds capable of remembering many concealed food locations. We found mammalian-like neural activity in the titmouse hippocampus, including sharp-wave ripples and anatomically organized place cells. In a non–food-caching bird species, spatial firing was less informative and was exhibited by fewer neurons. These findings suggest that hippocampal circuit mechanisms are similar between birds and mammals, but that the resulting patterns of activity may vary quantitatively with species-specific ethological needs.</p>
Fig. 1 in Anesthetic induction and recovery of Hippocampus reidi exposed to the essential oil of Lippia alba
Fig. 1. Blood glucose levels of seahorses transported in plastic bags (one seahorse per bag) for 4 or 24 h. N= 10. BT= Before transport; Control= only water; EO = essential oil of L. alba previously diluted in ethanol (1:10) 15 µL L-1. * significantly different from before transport using two-way ANOVA and Tukey's test (P <0.05). + significantly different from control group at the same time of transport using twoway ANOVA and Tukey's test (P <0.05).
Fig. 2 in Assessing diet composition of seahorses in the wild using a non destructive method: Hippocampus reidi (Teleostei: Syngnathidae) as a study-case
Fig. 2. Feeding strategy diagram. Prey-specific abundance plotted against frequency of occurrence of prey items in the diet of the seahorse Hippocampus reidi (n = 280). Prey items: 1. Nematoda, 2. Copepoda, (Harpacticoida), 3. Caridae, 4. Copepoda (nauplii), 5. Copepoda (Calanoida), 6. Copepoda (Cyclopoida), 7. Caridae (chelipods), 8. Teleostei (Gobiidae), 9. Insecta (Hymenoptera), 10. Amphipoda (Gammaridae), 11. Teleostei (scales), 12. Polichaeta (larvae), 13. Amphipoda (Caprellidae), 14. Ostracoda, 15. Eggs (possibly of mollusks or crustaceans), 16. Polichaeta (Nereididae), 17. Brachyura (nauplii), 18. Insecta (Chironomidae), 19. Crustacea (larvae), 20. Gastropoda (larvae), 21. Bivalvia (larvae), 22. Caridae (zoea), 23. Isopoda, 24. Oligochaeta, 25. Foraminifera.
Fig. 1 in Assessing diet composition of seahorses in the wild using a non destructive method: Hippocampus reidi (Teleostei: Syngnathidae) as a study-case
Fig. 1. Mean values of induction (square) and recovery (lozenge) times of Hippocampus reidi (n = 242) in seconds (box = standard error; whisker = standard deviation). Reproduc- tive state: IM = immature, OF = ovipositor region flat, OB = ovipositor region bulging, B = brooding, NB = non-brooding. Sex: U = undetermined, F = female, M = male.
Home range use in the West Australian seahorse Hippocampus subelongatus is influenced by sex and partner's home range but not by body size or paired status
<p><span>These data and scripts form the basis for </span>Kvarnemo C, Andersson SE, Elisson J, Moore GI and Jones AG (2021). Home range use in the West Australian seahorse <em>Hippocampus subelongatus</em> is influenced by sex and partner's home range but not by body size or paired status. Journal of Ethology 39: 235–248. https://doi.org/10.1007/s10164-021-00698-y. The abstract below is from this paper:</p> <p>Genetic monogamy is the rule for many species of seahorse, including the West Australian seahorse Hippocampus subelongatus. In this paper, we revisit mark-recapture and genetic data of H. subelongatus, allowing a detailed characterization of movement distances, home range sizes and home range overlaps for each individual of known sex, paired status (paired or unpaired) and body size. As predicted, we find that females have larger home ranges and move greater distances compared to males. We also confirm our prediction that the home ranges of pair-bonded individuals (members of a pair known to reproduce together) overlap more on average than home ranges of randomly chosen individuals of the opposite or same sex. Both sexes, regardless of paired status, had home ranges that overlapped with, on average, 6–10 opposite-sex individuals. The average overlap area among female home ranges was significantly larger than the overlap among male home ranges, probably reflecting females having larger home ranges combined with a female biased adult sex ratio. Despite a prediction that unpaired individuals would need to move around to find a mate, we find no evidence that unpaired members of either sex moved more than paired individuals of the same sex. We also find no effect of body size on home range size, distance moved or number of other individuals with which a home range overlapped. These patterns of movement and overlap in home ranges among individuals of both sexes suggest that low mate availability is not a likely explanation for the maintenance of monogamy in the West Australian seahorse.</p>
Data from: Complementary roles of dorsal and ventral hippocampus in the flexible adaptation of goal-directed behavior
Open the record for dataset details and reuse information.
Barcoding of episodic memories in the hippocampus of a food-caching bird
Open the record for dataset details and reuse information.
Inducing representational change in the hippocampus through real-time neurofeedback
Open the record for dataset details and reuse information.
Neural representations of space in the hippocampus of a food-caching bird
Open the record for dataset details and reuse information.
Home range use in the West Australian seahorse Hippocampus subelongatus is influenced by sex and partner’s home range but not by body size or paired status
Open the record for dataset details and reuse information.
Data from: Spatial encoding in primate hippocampus during free navigation
<p>The hippocampus comprises two neural signals – place cells and theta oscillations - that contribute to facets of spatial navigation. While their complementary relationship has been well established in rodents, their respective contributions in the primate brain during free navigation remains unclear. Here we recorded neural activity in the hippocampus of freely-moving marmosets as they naturally explored a spatial environment to more explicitly investigate this issue. We report place cells in marmoset hippocampus during free-navigation that exhibit remarkable parallels to analogous neurons in other mammalian species. Although theta oscillations were prevalent in the marmoset hippocampus, the patterns of activity were notably different than in other taxa. This local field potential oscillation occurred in bouts – rather than continuously – and was neither significantly modulated by locomotion nor consistently coupled to place cell activity. These findings suggest that the relationship between place cell activity and theta oscillations in primate hippocampus during free navigation differs substantially from rodents and paint an intriguing comparative picture regarding the neural basis of spatial navigation across mammals.</p>
Data set of CA1 pyramidal cell models using an intact whole hippocampus preparation
<p>The frequency-current (f-I) profiles of pyramidal cells are presented. Each .abf file contains the f-I curve data for the respective cell (as labelled PYR1, PYR2, PYR3 and PYR4 for Pyramidal cell 1, Pyramidal cell 2, Pyramidal cell 3 and Pyramidal cell 4). That is, they contain the cell's response to the application of a series of depolarizing current steps of 1 s duration while the cells are held in current clamp, as well as the current clamp data itself. Each recording is 2 s total. Amplitudes of the input were increased incrementally with step sizes of 10 pA for PYR1, PYR3, and PYR4, and a step size of 25 pA for PYR 2. PYR1 first spikes on the 5th of 30 steps with 38.7 pA of depolarizing input. PYR2 first spikes on the 3rd of 13 steps with 1.2 pA of input. PYR3 first spikes on the 7th of 34 steps with 62.0 pA of input, and PYR4 first spikes on the 7th of 30 steps with 12.1 pA of input.</p>
Data set of CA1 pyramidal cell recordings using an intact whole hippocampus preparation, including recordings of rebound firing (V2)
<p>The frequency-current (f-I) profiles and an example of rebound firing of pyramidal cells are presented. Four .abf files contain the f-I curve data for the respective cell (as labelled PYR1, PYR2, PYR3 and PYR4 for Pyramidal cell 1, Pyramidal cell 2, Pyramidal cell 3 and Pyramidal cell 4). That is, they contain the cell's response to the application of a series of depolarizing current steps of 1 s duration while the cells are held in current clamp, as well as the current clamp data itself. Each recording is 2 s total. Amplitudes of the input were increased incrementally with step sizes of 10 pA for PYR1, PYR3, and PYR4, and a step size of 25 pA for PYR 2. PYR1 first spikes on the 5th of 30 steps with 38.7 pA of depolarizing input. PYR2 first spikes on the 3rd of 13 steps with 1.2 pA of input. PYR3 first spikes on the 7th of 34 steps with 62.0 pA of input, and PYR4 first spikes on the 7th of 30 steps with 12.1 pA of input. In the .abf file labelled PYR5_rebound, an example of rebound firing of a pyramidal cell following hyperpolarizing input is given. While the cell was held at -52 mV in current clamp, as series of 1 s hyperpolarizing steps (10 steps, 25 pA increments) were used to record the post- hyperpolarization rebound spiking. For the figure showing this rebound spiking (Figure 1), the first two hyperpolarizing steps and the respective firing are shown. For visualization purposes, the spike artifact in the current clamp input trace was removed and replaced with the mean current in the Figure. </p>
Data set of CA1 pyramidal cell models using an intact whole hippocampus preparationV2
<p>The frequency-current (f-I) profiles and an example of rebound firing of pyramidal cells are presented. Four .abf files contain the f-I curve data for the respective cell (as labelled PYR1, PYR2, PYR3 and PYR4 for Pyramidal cell 1, Pyramidal cell 2, Pyramidal cell 3 and Pyramidal cell 4). That is, they contain the cell's response to the application of a series of depolarizing current steps of 1 s duration while the cells are held in current clamp, as well as the current clamp data itself. Each recording is 2 s total. Amplitudes of the input were increased incrementally with step sizes of 10 pA for PYR1, PYR3, and PYR4, and a step size of 25 pA for PYR 2. PYR1 first spikes on the 5th of 30 steps with 38.7 pA of depolarizing input. PYR2 first spikes on the 3rd of 13 steps with 1.2 pA of input. PYR3 first spikes on the 7th of 34 steps with 62.0 pA of input, and PYR4 first spikes on the 7th of 30 steps with 12.1 pA of input. In the .abf file labelled PYR5_rebound, an example of rebound firing of a pyramidal cell following hyperpolarizing input is given. While the cell was held at -52 mV in current clamp, as series of 1 s hyperpolarizing steps (10 steps, 25 pA increments) were used to record the post- hyperpolarization rebound spiking. For the figure showing this rebound spiking (Figure 1), the first two hyperpolarizing steps and the respective firing are shown. For visualization purposes, the spike artifact in the current clamp input trace was removed and replaced with the mean current in the Figure.</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.