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.
4,753
datasets available to search
ShareScore release 0.9.0
Dataset results
4,753 results for “SHAPE”
Experimental dataset: stereo-DIC experiment on uniaxially loaded, S-Shaped, high density polyethylene test sample
<p>Stereo-DIC experiments were performed on uniaxially loaded, s-shaped, high-density polyethylene test sample. 100 stationary images of unloaded test sample were taken for evaluation of DIC noise floor. Stereo calibration image dataset, involving a calibration target with rectangular grid (12 by 9 and pitch of 10 mm), is also made available. Tensile load from the test bench load-cell sampled at each moment an image is captured is available. </p>
Fast wavefront shaping for two-photon brain imaging with multi-patch correction - raw datas
<p>Raw stack images for the main figures of the paper: "Fast wavefront shaping for two-photon brain imaging with multi-patch correction" </p>
Predation affects body shape in the knife livebearer Alfaro cultratus (Cyprinodontiformes: Poeciliidae)
<p>Livebearing fishes are a common model for studying the effect of predation on prey biology. Numerous studies have found differences in life history, sexual selection, behavior, and morphology between populations of the same species that co-occur with predators and those that do not. <em>Alfaro</em> <em>cultratus</em> is a livebearing fish with populations in different predation environments, but unlike other livebearers, this species also has an extreme body shape that is laterally compressed. Given this unusual morphology, we asked if predation environment would still predict overall body shape, as has been documented in other species. We collected specimens from both predator and no-predator sites in Costa Rica and used a geometric morphometrics analysis to determine if body shape is affected by predation environment while controlling for size and river gradient. Body shape does indeed differ between predation environments; however, the observed differences contrast with the patterns found in other livebearer systems. <em>Alfaro</em> <em>cultratus</em> in predation environments had deeper and shorter bodies and deeper caudal peduncles than those found in environments without dominant fish predators.</p>
Fig. 3 Cranial shape and size differences between sexes. a in The influence of geography in the cranial diversification of the bulldog bats of the genus Noctilio (Noctilionidae: Chiroptera)
Fig. 3 Cranial shape and size differences between sexes. a Deformation grids from the consensus (black circles) to maximum and minimum (grey circles) PC1 score of the lateral view of the skull, describing sex differences in Noctilio species. b Deformation grids from the consensus (black circles) to maximum and minimum (grey circles)
Fig. 6. Canonical variate analysis between A in Quantifying elevational effect on the geometric body shape of Russian beetle Carabus exaratus (Coleoptera: Carabidae)
Fig. 6. Canonical variate analysis between A: dorsal and B: ventral views of Carabus exaratus populations. The colors represent the different levels of altitude: Lower elevation (plain): grey, middle elevation (foothill): green, and higher elevation (mountain): brown. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 4 in Quantifying elevational effect on the geometric body shape of Russian beetle Carabus exaratus (Coleoptera: Carabidae)
Fig. 4. Violin graph of centroid size representing the geometric body size for A: Dorsal and B: Ventral view of C. exaratus. The colors represent the different levels of altitude: Lower elevation (plain): grey, middle elevation (foothill): green, and higher elevation (mountain): brown. Graphical representation of the negative and positive shape contribution of the principal component 1. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 5 in Quantifying elevational effect on the geometric body shape of Russian beetle Carabus exaratus (Coleoptera: Carabidae)
Fig. 5. Multivariate regression of shape on centroid size (independent variable) in Carabus exaratus. The colors represent the different levels of altitude: Lower elevation (plain): grey, middle elevation (foothill): green, and higher elevation (mountain): brown. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Quantifying elevational effect on the geometric body shape of Russian beetle Carabus exaratus (Coleoptera: Carabidae)
Fig. 3. Principal Component analysis of the ventral view of Carabus exaratus. The colors represent the different levels of altitude: Lower elevation (plain): grey, middle elevation (foothill): green, and higher elevation (mountain): brown. Graphical representation of the negative and positive shape contribution of the principal component 1. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in Quantifying elevational effect on the geometric body shape of Russian beetle Carabus exaratus (Coleoptera: Carabidae)
Fig. 2. Principal Component analysis of the dorsal view of Carabus exaratus. The colors represent the different levels of altitude: Lower elevation (plain): grey, middle elevation (foothill): green, and higher elevation (mountain): brown. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Quantifying elevational effect on the geometric body shape of Russian beetle Carabus exaratus (Coleoptera: Carabidae)
Fig. 1. Representation of dorsal and ventral landmarks of Carabus exaratus. A: dorsal (elytral) view with 19 landmarks, B: ventral view with 18 landmarks.
Fig. 3 in Allometry and morphological integration shape the chemical detection system in Liolaemus lizards (Squamata, Iguania)
Fig. 3. Allometry relationships of log10 SVL size with the palatal opening. Below, shapes reconstruction associated.
Fig. 4 in Allometry and morphological integration shape the chemical detection system in Liolaemus lizards (Squamata, Iguania)
Fig. 4. Phylomorphospace reconstruction showing in the X axis the first principal components (PC) scores and in the Y axis those second PC scores of: A-vomeronasal organ, B- palatal opening and C- tongue shape. In blue, those species belong to Argentinean group, and in red, those belong to Chilean group. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 5 in Allometry and morphological integration shape the chemical detection system in Liolaemus lizards (Squamata, Iguania)
Fig. 5. Integration patterns among vomeronasal organ (brown), palatal opening (black), tongue (cream) and the number of precloacal epidermal glands (orange). The number above indicates the coefficient of correlation, whereas black bars indicate those significant associations. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in Allometry and morphological integration shape the chemical detection system in Liolaemus lizards (Squamata, Iguania)
Fig. 2. Phylogenetic relationships of Liolaemus lizards based on Esquerr´e et al. (2019), showing the relationships among studied species. In blue, those species belong to Argentinean group, and in red, those belong to Chilean group. Columns at the right show shapes symmetrized reconstruction of vomeronasal organ, palatal opening and tongue by each species. The size of the black circle represents the number of precloacal epidermal glands per studied species, whereas the black bars represent the size of snout-vent length. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 6 in Allometry and morphological integration shape the chemical detection system in Liolaemus lizards (Squamata, Iguania)
Fig. 6. Two block analyses showing the integration patterns of tongue (cream) with: A-palatal opening (black) and B– VNO (brown). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Allometry and morphological integration shape the chemical detection system in Liolaemus lizards (Squamata, Iguania)
Fig. 1. Drawing of Liolaemus cuyanus showing A-vomeronasal organ, B- palatal opening and. C- tongue. Yellow points correspond to landmarks set, and green points correspond to those landmarks used to reach symmetry and posteriorly were removed. Red points correspond to semi-landmarks. All were set on the right side; scale below corresponds to 1 mm. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
XPM-098 Moon-shaped Stone, Sapsuk River, AK
Polished moon shaped stone from XPM-098 Trench 2 Unit 1 Level 8, catalog number 470. SRO8-01-T2-U1-L8 Sapsuk River, Nelson Lagoon area, Alaska Peninsula, Alaska. Several salmon fishing sites. Early period dating 3200-2100 BCE, and a later occupation 100 BCE to 500 CE. Original digitizing work done at the IVL at Id. St. Univ. Subsequent processing completed at Global Digital Heritage. Maschner, H. et al. 2010. The Archaeology of the Sapsuk River, Alaska. An Occasional Papers Publication. Bureau of Indian Affairs, Alaska Region, Branch of Regional Archaeology, Anchorage. Source: Objaverse 1.0 / Sketchfab
Egg-shaped pot
Egg-shaped pot with small opening and flaring rim. It concerns a type 4, egg-shaped pot in the typology of the El Argar culture of the Siret brothers, excavated in the southeast of Spain. These hand shaped vessels are associated with funerary contexts and are regularly found together with type 8 beakers. This type of ceramic is characterized by a dark, polished, metallic surface. In this case the vessel was medium to dark grey. (Argaric culture, 2300 BC - 1600 BC). Inv n.: PG.2000.45 Find this object in the museum's online catalog [Carmentis](https://www.carmentis.be:443/eMP/eMuseumPlus?service=ExternalInterface&module=collection&objectId=198443&viewType=detailView) Source: Objaverse 1.0 / Sketchfab
Egg-shaped vase with flaring rim - PG.41.1.871
Egg-shaped vase with flaring rim. Argaric culture. Early-Middle Bronze Age (2300-1600 BC). Inventory number: PG.41.1.871 Find this object in the museum's online catalog [Carmentis](https://www.carmentis.be:443/eMP/eMuseumPlus?service=ExternalInterface&module=collection&objectId=198507&viewType=detailView) Source: Objaverse 1.0 / Sketchfab
Head-Shaped Fountain (A.D.1770) .::RAWscan::.
Text reads: **IOHANNES POTENZIANI REATINUS PRAECEPTOR ORD°S°SPIRITUS IN SAXIA MONTIS ROMANI AMANTISSIMUS SALUBERRIMIS ACCERSITIS AQUIS AD USUM COMMODUMQUE PUBLICUM FONTEM FACIUNDUM CURAVIT A°D° MDCCLXX** Photogrammetry scan Source: Objaverse 1.0 / Sketchfab
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.