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.
3,583
datasets available to search
ShareScore release 0.9.0
Dataset results
3,583 results for “elevations”
Figure 1 in Macroinvertebrate richness is lower in high-elevation lakes vs nearby streams: evidence from Grand Teton National Park, Wyoming
Figure 1. Lakes (white circles) in Grand Teton National Park, Wyoming, USA, sampled for this study. Black squares indicate nearby stream sites described in Tronstad et al. (2016).
Data from: Climate and vegetation structure shape ant communities along elevational gradients on the Colorado Plateau
<p><b>Aim:</b> Terrestrial animal communities are largely shaped by vegetation and climate. With climate also shaping vegetation, can we attribute animal patterns solely to climate? To understand this, we compare the relative and interactive effects of climate and vegetation on an animal community. Our study observes ant community changes along climatic gradients (i.e. elevational gradients) within different habitat types (i.e. open and forest). We compare the explanatory powers and effect sizes of climate and vegetation variables on ant communities and describe what drives elevational distributions of ant species.</p> <p><b>Location: </b>Colorado Plateau, southwestern United States</p> <p><b>Taxon: </b>Formicidae</p> <p><b>Methods: </b>We sampled ants and vegetation along two elevational gradients spanning 1132m with average annual temperature and precipitation differences of 5.7C<span>°</span> and 645 mm, respectively. Regression analysis and structural equation modeling was then used to test the relative effects of climate and vegetation variables on ant communities.</p> <p><b>Results: </b>Climate variables had the strongest correlations and the largest effect sizes on ant communities, while vegetation composition, richness, and primary productivity were relatively small. Precipitation was the strongest predictor for most ant community metrics. Ant richness and abundance had a negative relationship with precipitation in forested habitats, and positive in open habitats.</p> <p><b>Main conclusions: </b>Our results show strong direct climate effects on ants with little or no effects of vegetation composition or primary productivity, but contrasting patterns between vegetation type (i.e. forested vs open) with precipitation. This indicates vegetation structure can modulate climate responses of ant communities. Our study demonstrates climate-animal relationships may vary among vegetation types which can impact both findings from elevational studies and how communities will react to changes in climate.</p>
Data from: BIOVERA-Tree: tree diversity, community composition, forest structure and functional traits along gradients of forest-use intensity and elevation in Veracruz, Mexico
<p>Here, we describe BIOVERA-Tree, a database on tree diversity, community composition, forest structure, and functional traits collected in 120 forest plots distributed along an extensive elevational gradient in Veracruz State, Mexico. BIOVERA-Tree includes information on forest structure from three levels of forest-use intensity, namely old-growth, degraded, and secondary forest, replicated across eight elevations from sea-level to near the tree line at 3500 m and on size and location of 4549 tree individuals with a diameter at breast height ≥ 5 cm belonging to 216 species, 154 genera, and 80 families. We also report measurements of eight functional traits, namely wood density for 143 species, maximum height for 216 species and leaf traits including: specific leaf area, lamina density, leaf thickness, chlorophyll content, and leaf area for 148 species and leaf dry matter content for 145 species.</p>
Figure 2 in Grasshopper diversity and abundance in relation to elevation and vegetation from a snapshot in Mediterranean Anatolia: role of latitudinal position in altitudinal differences
Figure 2. Relationship between elevation and species diversity (solid lines with open diamonds) and specimen numbers (dashed lines with full dots) for grasshoppers and the three most speciose subfamilies (Gomphocerinae, Oedipodinae and Calliptaminae). Notes: Six altitudinal sites in the Akdaglar range are: KA, Kalkan; SU, Sütlegen; ZT, Ziyaret Tepe; ET, Eren Tepe; AS, Akdag Subasi; AI, Akdag Ikiz Göl.
Figure 1 in Grasshopper diversity and abundance in relation to elevation and vegetation from a snapshot in Mediterranean Anatolia: role of latitudinal position in altitudinal differences
Figure 1. Map showing geographical location of the study area and the sites visited to collect Caelifera specimens. Notes: Six altitudinal sites in the Akdaglar range are: KA, Kalkan; SU, Sütlegen; ZT, Ziyaret Tepe; ET, Eren Tepe; AS, Akdag Subasi; AI, Akdag Ikiz Göl.
Figure 3 in Grasshopper diversity and abundance in relation to elevation and vegetation from a snapshot in Mediterranean Anatolia: role of latitudinal position in altitudinal differences
Figure 3. Relationship between plant species diversity (histograms) and Caelifera species diversity (solid lines with open diamonds) and specimen numbers (dashed lines with full dots). Notes: Six altitudinal sites in the Akdaglar range are: KA, Kalkan; SU, Sütlegen; ZT, Ziyaret Tepe; ET, Eren Tepe; AS, Akdag Subasi; AI, Akdag Ikiz Göl.
Figure 4 in Grasshopper diversity and abundance in relation to elevation and vegetation from a snapshot in Mediterranean Anatolia: role of latitudinal position in altitudinal differences
Figure 4. Dendogram of six stations in the Akdaglar mountain range grouped according to Caeliferan species associations determined by cluster analysis based on Bray–Curtis similarity coefficient. Notes: KA, Kalkan; SU, Sütlegen; ZT, Ziyaret Tepe; ET, Eren Tepe; AS, Akdag Subasi; AI, Akdag Ikiz Göl.
Figure 3 in Elevational diversity of reptiles on two Dinaric mountains
Figure 3. Reptilian species richness curves (upper boxes) and turnover rate (Br; lower boxes) for two elevational gradients in the northern Mt. Velebit (left) and in Mt. Biokovo (right). See Figure 2 for further explanation.
Figure 2 in Elevational diversity of reptiles on two Dinaric mountains
Figure 2. Variation in Jaccard's Coefficient of Similarity between northern Mt. Velebit and Mt. Biokovo according to elevational intervals.
Figure 1 in Elevational diversity of reptiles on two Dinaric mountains
Figure 1. Map of eastern Adriatic coast showing position of mountains utilised in this study. Right upper insert: outline of Europe with position of study area.
FIG. 5 in Elevational zonation of birds, insectivores, rodents and primates on the slopes of the Andringitra Massif, Madagascar
FIG. 5. Plots displaying the percentage total representation of various feeding guilds and strata utilization for mammals with respect to the total known mammal fauna of that zone.
FIG. 4 in Elevational zonation of birds, insectivores, rodents and primates on the slopes of the Andringitra Massif, Madagascar
FIG. 4. Plots displaying the percentage total representation of various feeding guilds and strata utilization for birds with respect to the total known avifauna of that zone.
FIG. 1 in Elevational zonation of birds, insectivores, rodents and primates on the slopes of the Andringitra Massif, Madagascar
FIG. 1. Map of the Parc National d'Andringitra, study sites and surrounding localities mentioned in the text.
FIGURES 14–21 in Elevation to species level and redescription of Xysticus alpinus Kulczyński, 1887 stat. n. (Araneae, Thomisidae)
FIGURES 14–21. Genitalia in comparison. 14–17 X. alpinus stat. n. from Vedrettino rock glacier (14 male palp ventral, 15 ditto retrolateral, 16 epigyne ventral, 17 vulva dorsal). 18–21 X. lanio from Marradi (18 male palp ventral, 18 ditto retrolateral, 20 epigyne ventral, 21 vulva dorsal).
FIGURE 22 in Elevation to species level and redescription of Xysticus alpinus Kulczyński, 1887 stat. n. (Araneae, Thomisidae)
FIGURE 22. Scree slope surrounding the Vedrettino rock glacier, habitat in which the largest population of Xysticus alpinus stat. n. was found (Photo by M. Gobbi).
Fig. 2 in The Influence of Environmental Temperature and Humidity on the Elevational and Temporal Distributions of Rove Beetles (Coleoptera: Staphylinidae) in a Quercus L. Forest in Jalisco, Mexico
Fig. 2. Range-abundance of the most abundant species of carrion-trapped staphylinids at four elevations in oak forest on Cerro de Garc´ıa, Jalisco, Mexico. Species names for abbreviations are in Table 1.
Fig. 3 in The Influence of Environmental Temperature and Humidity on the Elevational and Temporal Distributions of Rove Beetles (Coleoptera: Staphylinidae) in a Quercus L. Forest in Jalisco, Mexico
Fig. 3. Coinertia analysis between environmental variables and number of carrion-trapped specimens of the most abundant staphylinid species at four altitudes in oak forest on Cerro de Garc´ıa, Jalisco, Mexico. a) Factorial plane of Coinertia of the four altitudes; the tip of the arrows represents the composition of the community of staphylinids at the indicated altitude and the diamond base represents the environmental variables, b) Projection of the vectors of the environmental variables, c) Diversity of carrion-trapped staphylinids in the factorial plane of Coinertia. Hmin = minimum humidity; H = average humidity; Hmax = maximum humidity; Tmin = minimum temperature; T = average temperature; Tmax = maximum temperature. Species names for abbreviations are in Table 1. Most species clustered around the center and are not shown. The species indicated are those that showed a significantly different tendency.
Fig. 4 in The Influence of Environmental Temperature and Humidity on the Elevational and Temporal Distributions of Rove Beetles (Coleoptera: Staphylinidae) in a Quercus L. Forest in Jalisco, Mexico
Fig. 4. Coinertia analysis among environmental variables and number of individuals per species at four altitudes on Cerro de Garc´ıa, Jalisco, Mexico: A) 2,100 m, B) 2,300 m, C) 2,500 m, D) 2,700 m. For each altitude: a) Factorial plan of Coinertia of the months; the tip of the arrows represents the composition of the community of staphylinids at the indicated altitude and the round dot base represents the environmental variables; b) Projection of the vectors of the environmental variables; c) Diversity of carrion-trapped staphylinids in the factorial plan of Coinertia. Hum = humidity, Tem = temperature. Species names for abbreviations are in Table 1. Most species clustered around the center and are not shown. The species indicated are those that showed a significantly different tendency.
Fig. 1. Study site. A in The Influence of Environmental Temperature and Humidity on the Elevational and Temporal Distributions of Rove Beetles (Coleoptera: Staphylinidae) in a Quercus L. Forest in Jalisco, Mexico
Fig. 1. Study site. A) Location of carrion traps on Cerro de Garc´ıa, B) Carrion trap, C) Quercus forest.
Figs. 1–4. Ancognatha aymara. 1 in A New, High-Elevation Species of the GenusAncognathaErichson (Coleoptera: Scarabaeidae: Dynastinae) from Chile
Figs. 1–4. Ancognatha aymara. 1) Holotype, dorsal view; 2) Allotype, dorsal view. 3) Right protarsus of male, medial view; 4) Head of male, dorsal view. Scale bars = 5.0 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.