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.
9,882
datasets available to search
ShareScore release 0.9.0
Dataset results
9,882 results for “Scale”
Figure 2 in Fine-scale abundance variation in New Zealand migratory and non-migratory Galaxias fish species
Figure 2. – Boxplot showing the abundance of migratory (galbre; Galaxias brevipinnis) and non-migratory (galpau; G. paucispondylus and galvul; G. vulgaris) species at sites upstream of lakes (n = 18) and sites without lakes (n = 8). Boxplots show medians (horizontal line), 25th and 75th percentiles (upper and lower box limits), maximum and minimum values (bars), and mean (red dots). Outliers are presented by black circles.
Figure 1 in Fine-scale abundance variation in New Zealand migratory and non-migratory Galaxias fish species
Figure 1. – Map of survey sites, including sites upstream of Lakes Ohau, Pukaki and Tekapo (white boxes), and non-lake stream sites (grey shaded boxes). The number of fish caught at the different sites is shown within the boxes, with Galaxias brevipinnis at the top and non-migratory Galaxias spp. at the bottom of the boxes.
Figure 5 in Fine-scale abundance variation in New Zealand migratory and non-migratory Galaxias fish species
Figure 5. – Principal component analysis (PCA) biplot of the microhabitat environmental factors. Each dot repre- sents one sampling point. The symbols indicate sites upstream of lakes (circles) and sites without lakes (triangles), with the 95% confidence ellipses enclosing sample units from each group. Ellipses that do not overlap represent groups that differ significantly. Dim1, the first PCA axis; Dim2, the second PCA axis.
Figure 4 in Fine-scale abundance variation in New Zealand migratory and non-migratory Galaxias fish species
Figure 4. – Representation of size-class structure of Galaxias brevipinnis in lake tributary sites with different distance categories from their recruitment sources (lakes). Sample sizes (n) and distances (in km) are shown inside the panels.
Figure 3 in Fine-scale abundance variation in New Zealand migratory and non-migratory Galaxias fish species
Figure 3. – The relationship between square-root transformed galbre Galaxias brevipinnis and non-migratory species (galpau; G. paucispondylus) abundance with distance from the lakes.
Figure 7 in The historic background and potential of sustainable small-scale fisheries and aquaculture in small islands: the case of Saint-Pierre and Miquelon
Figure 7. – Evolution of the number of employees per sector in the past two decades in Saint-Pierre and Miquelon: primary sector, including fisheries, aquaculture and agriculture (in black), secondary sector, including industry and construction (in dark grey), and tertiary sector including commerce, transport, personal services, accommodation, food service activities, public administration, education, health and social work (light grey). Data are from Iedom (2021).
Figure 4 in The historic background and potential of sustainable small-scale fisheries and aquaculture in small islands: the case of Saint-Pierre and Miquelon
Figure 4. – Official captures for the Saint-Pierre and Miquelon's fleet from 1950-2020 (data come from the FAO database).
Figure 1 in The historic background and potential of sustainable small-scale fisheries and aquaculture in small islands: the case of Saint-Pierre and Miquelon
Figure 1. – Map of the 12,400 km2 Exclusive Economic Zone of Saint-Pierre and Miquelon (dark blue), most of which is comprised in NAFO Subarea 3Ps (light blue). The land in the upper left is the South of the Newfoundland island; that on the left the West of Nova Scotia. The insert shows the maps' location in North America.
Figure 9 in The historic background and potential of sustainable small-scale fisheries and aquaculture in small islands: the case of Saint-Pierre and Miquelon
Figure 9. – Evolution of the population of Saint-Pierre and Miquelon. People under 20 years (in black), between 21 and 59 years old (dark grey), and above> 60 years old (light grey). Data are from IEDOM reports (https://www.iedom.fr/saint-pierre-et-miquelon/).
Figure 3 in The historic background and potential of sustainable small-scale fisheries and aquaculture in small islands: the case of Saint-Pierre and Miquelon
Figure 3. – Evolution of the number of dories (in black) and artisanal fishers (in grey) between the 1960s to the 1990s (data are from Briand, 1990).
Figure 10 in The historic background and potential of sustainable small-scale fisheries and aquaculture in small islands: the case of Saint-Pierre and Miquelon
Figure 10. – Comparison of the evolution of the populations of SPM and close small towns from the Burin Peninsula between 1991 and 2016 (data are from IEDOM, 2021 and https://www12.statcan.gc.ca/censusrecensement/2016/index-eng.cfm)
Figure 2 in The historic background and potential of sustainable small-scale fisheries and aquaculture in small islands: the case of Saint-Pierre and Miquelon
Figure 2. – Dories belonging to the association called "Les Zigotos" (http://www.spm-tourisme.fr/nos-iles-dexception/bienvenue-cheznous/les-zigotos/) in the foreground of the picture and the large blue fish plants Interpêche and Interfreeze, with a fishing vessel, in the background.
Figure 8 in The historic background and potential of sustainable small-scale fisheries and aquaculture in small islands: the case of Saint-Pierre and Miquelon
Figure 8. – Evolution of the exports (in black) and imports (in grey) for Saint-Pierre and Miquelon since 2002. Data are from IEDOM reports (https://www.iedom.fr/saint-pierre-et-miquelon/).
Figure S4 in Spatiotemporal patterns in marine fish and cephalopods communities across scales: using an autoregressive spatiotemporal clustering model. A study of fish and cephalopods of the Eastern English Channel
Figure S4. – Spatial-temporal correlation matrix at a 782 km2 (A) and 1043 km2 (B) scale displaying correlation from strongly negative (dark blue) to strongly positive (dark red).
Figure S2 in Spatiotemporal patterns in marine fish and cephalopods communities across scales: using an autoregressive spatiotemporal clustering model. A study of fish and cephalopods of the Eastern English Channel
Figure S2. – Spatial hierarchical clustering at a 782 km2 (A) and 1043 km2 (B) scale. The rectangle outlines the communities that where find statistically significant by ASTEC given the approximately unbiased p-values expressed as proportion (red).
Figure 2 in Spatiotemporal patterns in marine fish and cephalopods communities across scales: using an autoregressive spatiotemporal clustering model. A study of fish and cephalopods of the Eastern English Channel
Figure 2. – Spatial correlation matrix at a 522 km2 scale displaying correlation from strongly negative (dark blue) to strongly positive (dark red).
Figure 11 in Spatiotemporal patterns in marine fish and cephalopods communities across scales: using an autoregressive spatiotemporal clustering model. A study of fish and cephalopods of the Eastern English Channel
Figure 11. – Scophthalmus rhombus from low (blue) to high (red) median densities of numbers/ km2 in log scale for 522 km2 for the Eastern English Channel.
Figure S5 in Spatiotemporal patterns in marine fish and cephalopods communities across scales: using an autoregressive spatiotemporal clustering model. A study of fish and cephalopods of the Eastern English Channel
Figure S5. – Spatial-temporal hierarchical clustering at a 782 km2 (A) and 1043 km2 (B) scale. The rectangle outlines the communities that where find statistically significant by ASTEC given the approximately unbiased p-values expressed as proportion (red).
Figure 4 in Morphological and histological study of the scales of the grey notothen, Lepidonotothen squamifrons (Günther 1880) (Nototheniidae; Perciformes; Teleostei)
Figure 4. – Mineralizing front of scales (SEM). A: Near the margin of the scale the basal plate is mineralized on its whole thickness (white asterisks) and the Mandl's corpuscles are small. At a small distance the basal plate is incompletely mineralized and the Mandl's corpuscles are bigger with an ovoid or a quadrangular shape (arrows). B: Detail of spherical and ovoid Mandl's corpuscles. C: Detail of the mineralizing front (anterior area) showing on the upper right merging Mandl's corpuscles (white arrows). On the left the mineralizing front is smooth with some Mandl's corpuscles not still merged with the mineralizing front (arrowheads). D: Detail of two quadrangular Mandl's corpuscles. Their surface is perfectly smooth. Scale bars: A, B = 20 μm; C = 10 μm; D = 5 μm.
Figure 1 in Morphological and histological study of the scales of the grey notothen, Lepidonotothen squamifrons (Günther 1880) (Nototheniidae; Perciformes; Teleostei)
Figure 1. – Drawing of three overlapped scales. The focus (fo) has a posterior location and the surface of the posterior area is reduced. The posterior margin is ornamented by some sharp spines, the ctenii (ct). an = anterior side; po = posterior side. Scale bar = 1 mm.
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.