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 3 in The lycaenid butterfly fauna (Lepidoptera) of Cosñipata, Peru: annotated checklist, elevational patterns, and rarity
Figure 3. The Cosñipata Valley, view from 1,650m, looking towards the northeast.
Figure 2 in The lycaenid butterfly fauna (Lepidoptera) of Cosñipata, Peru: annotated checklist, elevational patterns, and rarity
Figure 2. Location of major sampling sites. The numbers reference Table 1.
Figure 1 in The lycaenid butterfly fauna (Lepidoptera) of Cosñipata, Peru: annotated checklist, elevational patterns, and rarity
Figure 1. Location of the Cosñipata Region (yellow box) in southeast Peru. © Amazonia Lodge.
Landslide age, elevation and residual vegetation determine tropical montane forest canopy recovery and biomass accumulation after landslide disturbances in the Peruvian Andes
<p>Landslides are common natural disturbances in tropical montane forests. While the geomorphic drivers of landslides in the Andes have been studied, factors controlling post-landslide forest recovery across the steep climatic and topographic gradients characteristic of tropical mountains are poorly understood.</p> <p>Here we use a LiDAR-derived canopy height map coupled with a 25-year landslide time series map to examine how landslide, topographic, and biophysical factors, along with residual vegetation, affect canopy height and heterogeneity in regenerating landslides. We also calculate aboveground biomass accumulation rates and estimate the time for landslides to recover to mature forest biomass levels.</p> <p>We find that age and elevation are the biggest determinants of forest recovery, and that the jump-start in regeneration that residual vegetation provides lasts for at least 18 years. Our estimates of time to biomass recovery (31.6-37.1 years) are surprisingly rapid, and as a result we recommend that future research pair LiDAR with hyperspectral imagery to estimate forest aboveground biomass in frequently disturbed landscapes.</p> <p>Synthesis: Using a high-resolution LiDAR dataset and a time-series inventory of 608 landslides distributed across a wide elevational gradient in Andean montane forest, we show that age and elevation are the most influential predictors of forest canopy height and canopy variability. Other features of landslides, in particular the presence of residual vegetation, shape post-landslide regeneration trajectories. LiDAR allows for a detailed analysis of forest structural recovery across large landscapes and numbers of disturbances, and provides a reasonable upper bound on aboveground biomass accumulation rates. However, because this method does not capture the effect of compositional change through succession on aboveground biomass, wherein high-wood density species gradually replace light-wooded pioneer species, it overestimates aboveground biomass. Given previously estimated stem turnover rates along this elevational gradient, we posit that aboveground biomass recovery takes at least three times as long as our recovery time estimates based on LiDAR-derived structure alone.</p>
Data from: Host conservatism, geography, and elevation in the evolution of a Neotropical moth radiation
The origins of evolutionary radiations are often traced to the colonization of novel adaptive zones, including unoccupied habitats or unutilized resources. For herbivorous insects, the predominant mechanism of diversification is typically assumed to be a shift onto a novel lineage of host plants. However, other drivers of diversification are important in shaping evolutionary history, especially for groups residing in regions with complex geological histories. We evaluated the contributions of shifts in host plant clade, bioregion, and elevation to diversification in Eois (Lepidoptera: Geometridae), a hyper-diverse genus of moths found throughout the Neotropics. Relationships among 107 taxa were reconstructed using one mitochondrial and two nuclear genes. In addition, we used a genotyping-by-sequencing approach to generate 4,641 SNPs for 137 taxa. Both data sets yielded similar phylogenetic histories, with relationships structured by host plant clade, bioregion, and elevation. While diversification of basal lineages often coincided with host clade shifts, more recent speciation events were more typically associated with shifts across bioregions or elevational gradients. Overall, patterns of diversification in Eois are consistent with the perspective that shifts across multiple adaptive zones synergistically drive diversification in hyper-diverse lineages.
Mosaicked Digital Elevation Models over Nepal
<p>The DEMs in this dataset are generated by mosaicking four individual DEM tiles over the 2015 Nepal earthquake epicentral region. The mosaicked DEMs are available in the WGS84 vertical datum. The DEMs represent surface elevation before the occurrence of the 2015 earthquake event. The DEMs are used for topographic phase removal in the Differential InSAR studies.</p>
Elevational range-sizes and edaphic associations for plant species of the Mount Kinabalu region of Borneo (Sabah, Malaysia)
<p>Identifying physical and ecological boundaries that limit where species can occur is important for predicting how those species will respond to global change. The island of Borneo encompasses a wide range of habitats that support some of the highest richness on Earth, making it an ideal location for investigating ecological mechanisms underlying broad patterns of species distribution. We tested variation in richness and range-size in relation to edaphic specialization and vegetation zone boundaries using 3060 plant species from 193 families centered around the elevational gradient of Mt. Kinabalu, Borneo. Across species, average range-size increased with elevation, consistent with Rapoport's rule. However, plants associated with ultramafic soil, which is low in nutrient and water availability and often has high concentrations of heavy metals, had larger range-sizes and greater richness than expected along the elevational gradient, as compared to a null model with randomization of edaphic association. In contrast, non-ultramafic species had smaller range-sizes and lower richness than expected. These results suggest that tolerance of resource limitation may be associated with wider range-sizes, whereas species intolerant of edaphic stress may have narrower range-sizes, possibly owing to more intense competition in favorable soil types. Using elevation as a predictor of average range-sizes, we found that piece-wise models with breakpoints at vegetation zone transitions explained species distributions better than models that did not incorporate ecological boundaries. The greatest relative increases in range-size with respect to elevation occurred mid-elevation, within the montane cloud forest vegetation zone. Expansion of average range-size across an area without physical boundaries may indicate a shift in ecological strategy and importance of biotic versus abiotic stressors. Our results indicate that elevational range-size patterns are structured by ecological constraints such as species' edaphic association, which may limit the ability of species to migrate up or down mountains in response to climate change.</p>
APOE4 is associated with elevated blood lipids and lower levels of innate immune biomarkers in a tropical Amerindian subsistence population
<p>In post-industrial settings, <i>APOE4</i> is associated with increased cardiovascular and neurological disease risk. However, the majority of human evolutionary history occurred in environments with higher pathogenic diversity and low cardiovascular risk. We hypothesize that in high-pathogen and energy-limited contexts, the <i>APOE4</i> allele confers benefits by reducing innate inflammation when uninfected, while maintaining higher lipid levels that buffer costs of immune activation during infection. Among Tsimane forager-farmers of Bolivia (N=1266), <i>APOE4</i> is associated with 30% lower C-reactive protein, and higher total cholesterol and oxidized-LDL. Blood lipids were either not associated, or negatively associated with inflammatory biomarkers, except for associations of oxidized-LDL and inflammation which were limited to high BMI adults. Further, <i>APOE4</i> carriers maintain higher levels of total and LDL cholesterol at low BMIs. These results suggest the relationship between <i>APOE4</i> and lipids may be beneficial for pathogen-driven immune responses, and unlikely to increase cardiovascular risk in an active subsistence population.</p>
PALEOMAP Paleodigital Elevation Models (PaleoDEMS) for the Phanerozoic
<p>A paleo-digital elevation model (paleoDEM) is a digital representation of paleotopography and paleobathymetry that has been “reconstructed” back in time. This report describes how the 117 PALEOMAP paleoDEMS (see Supplementary Materials) were made and how they can be used to produce detailed paleogeographic maps. The paleoDEMS describe the changing distribution of deep oceans, shallow seas, lowlands, and mountainous regions during the last 540 million years at five million year intervals.</p> <p>Each PaleoDEM is an estimate of the elevation of the land surface and depth of the ocean basins measured in meters (m) at a resolution of 1×1 degrees. The paleoDEMs are available in two formats: 1) a simple text file that lists the latitude, longitude and elevation of each grid point; and 2) a more compact version in “netcdf” format that can be read using NCL (NCAR Command Language) software, familiar to most climate modelers.</p> <p>These files can also be found on the EarthByte website (<a href="https://www.earthbyte.org/paleodem-resource-scotese-and-wright-2018/">https://www.earthbyte.org/paleodem-resource-scotese-and-wright-2018/</a>).</p> <p>PaleoDEMs for 540–0 Ma are also available here in a 0.1° x 0.1° (i.e. 6min x 6min) resolution. These are available as netcdfs only.</p>
Host phylogeny and elevation predict infection by avian haemosporidians in a diverse New Guinean bird community (R script for analyses, figures, and supplemental figures )
<p>This script performs the glmm analysis of the elevation and infection prevalence data as well as the script required to generate the figures in the article.</p>
NASA SRTM Digital Elevation 30m (Libya)
<p>The Shuttle Radar Topography Mission digital elevation data is an international research effort that obtained digital elevation models on a near-global scale.</p> <p>Dataset Provider</p> <p>NASA / USGS / JPL-Caltech</p> <p>Description: Elevation</p> <p>Units: Meters</p> <p> </p> <p>Pixel Size: 1 arc-second (~30 meters)</p> <p> </p> <p>Dataset Date: 2000s</p> <p>Projection: WGS84</p>
Vehicle pollution is associated with elevated insect damage to street trees
<p>1. Vehicle pollution is a pervasive aspect of anthropogenic change across rural and urban habitats. The most common emissions are carbon- or nitrogen-based pollutants that may impact diverse interactions between plants and insect herbivores. However, the effects of vehicle pollution on plant-insect interactions are poorly understood.</p> <p>2. Here, we combine a city-wide experiment across the Sacramento Metropolitan Area and a laboratory experiment to determine how vehicle emissions affect insect herbivory and leaf nutritional quality.</p> <p>3. We demonstrate that leaf damage to a native oak species (Quercus lobata) commonly planted across the western US is substantially elevated on trees exposed to vehicle emissions. In the laboratory, caterpillars preferred leaves from highway-adjacent trees and performed better on leaves from those same trees.</p> <p>4. Synthesis and applications. Together, our studies demonstrate that the heterogeneity in vehicle emissions across cities may explain highly variable patterns of insect herbivory on street trees. Our results also indicate that trees next to highways are particularly vulnerable to multiple stressors, including insect damage. To combat these effects, urban foresters may consider planting trees that are less susceptible to insect herbivory along heavily traveled roadways.</p>
Elevated energy costs of biomass production in mitochondrial-respiration deficient Saccharomyces cerevisiae
<p>The <em>pcYeast8</em> model and data, required to reproduce the figures in the preprint "Elevated energy costs of biomass production in mitochondrial-respiration deficient <em>Saccharomyces cerevisiae</em>". Data bundle uploaded by Pranas Grigaitis, p.grigaitis [at] vu.nl.</p> <p><em>Abstract</em></p> <p>Microbial growth requires energy for maintaining the existing cells and producing components for the new ones. Microbes therefore invest a considerable amount of their resources into proteins needed for energy harvesting. Growth in different environments is associated with different energy demands for growth of yeast <em>Saccharomyces cerevisiae</em>, although the cross-condition differences remain poorly characterized. Furthermore, a direct comparison of the energy costs for the biosynthesis of the new biomass across conditions is not feasible experimentally; computational models, on the contrary, allow comparing the optimal metabolic strategies and quantify the respective costs of energy and nutrients. Thus in this study, we used a resource allocation model of <em>S. cerevisiae</em> to compare the optimal metabolic strategies between different conditions. We found that <em>S. cerevisiae</em> with respiratory-impaired mitochondria required additional energetic investments for growth, while growth on amino acid-rich media was not affected. Amino acid supplementation in anaerobic conditions also was predicted to rescue the growth reduction in mitochondrial respiratory shuttle-deficient mutants of <em>S. cerevisiae</em>. Collectively, these results point to elevated costs of resolving the redox imbalance caused by <em>de novo</em> biosynthesis of amino acids in mitochondria. To sum up, our study provides an example of how resource allocation modeling can be used to address and suggest explanations to open questions in microbial physiology.</p>
Data for: Elevational changes in insect herbivory on woody plants in six mountain ranges of temperate Eurasia: Sources of variation
<p>Current theory predicts that the intensity of biotic interactions, and particularly herbivory, decreases with increasing latitude and elevation. However, recent studies have revealed substantial variation in both the latitudinal and elevational patterns of herbivory. This variation is often attributed to differences in study design and type of data collected by different researchers. Here, we used a standardised sampling protocol along elevational gradients in six mountain ranges, located at different latitudes within temperate Eurasia, to uncover the sources of variation in elevational patterns in insect herbivory on woody plant leaves. We discovered the considerable variation in elevational patterns among different mountain ranges; nevertheless, herbivory generally decreased with increasing elevation at both the community-wide and individual plant species levels. This decrease was mostly due to openly living defoliators, whereas no significant association was detected between herbivory and elevation among insects living within plant tissues (i.e. miners and gallers). The elevational decrease in herbivory was significant for deciduous plants but not for evergreen plants, and for low-stature plants but not for tall plants. The community-wide herbivory increased with increases in both specific leaf area and leaf size. The strength of the negative correlation between herbivory and elevation increased from lower to higher latitudes. We conclude that elevational gradients in herbivory demonstrate considerable variation, and that this variation is mostly associated with herbivore feeding habit, some plant traits and latitude of the mountain range.</p>
Supporting Data - Shallow Fracture Buffers High Elevation Runoff in Northwest Greenland
<p>This dataset contains supporting data accompanying Culberg, Chu, & Schroeder, "Shallow Fracture Buffers High Elevation Runoff in Northwest Greenland", <em>Geophysical Research Letters</em>, 2022. It includes the following:</p> <ul> <li>Ice-penetrating radar-derived mappings of transient firn aquifers and buried refrozen ice complexes (ice blobs) beneath ice slabs in Northwest Greenland.</li> <li>Porosity estimates derived from the inversion of ice-penetrating radar reflectivity for the 20150510_01 Ultrawideband MCoRDS transect flow in Northwest Greenland as part of NASA OIB.</li> <li>An NDWI stack image showing the maximum NDWI on a per pixel basis from all Landsat images between 2000 and 2016 for the region.</li> <li>Data for a time series of NDWI within the upslope catchment of each aquifer or blob.</li> <li>Locations of moulins, supraglacial lakes, and drained supraglacial lakes from high resolution optical imagery.</li> <li>Linear features extracted from the high resolution optical imagery.</li> <li>Surface crevasse densities and surface water feature densities inferred from the extracted linear features for the northern and southern portions of the ice slab region.</li> <li>Resistive stress and fracture toughness data for each location where fractures are inferred from the high resolution optical imagery.</li> <li>Full resolution image files for WorldView imagery used in the Supporting Information Figure S6.</li> </ul>
Seismic Inverted Impact force and Digital Elevation Models before and after the 2018 Baige Landslide
<p>For the data of inverted seismic force, the seismic signals recorded by the broadband seismic stations were prepared for the inversion of the force-time function by the following series of actions:</p> <ul> <li>Removing the instrumental response</li> <li>Resampling to 0.5 s</li> <li>Integrating the signals from velocity to displacement</li> <li>Rotating the horizontal components to the radial and transverse direction</li> <li>Filtering the signals between periods of 30 and 140 s</li> </ul> <p>For the digital elevation models (DEMs) of the Baige landslide, the pre-failure DEM with 10 m grid spacing was obtained from the Sichuan Bureau of Surveying Mapping and Geoinformation (SBSMG). At the same time, the post-failure DEM was derived from the UAV-based photogrammetry.</p>
Raw data: Wildbee Monitoring along two elevational gradients in Germany
<p><a name="_Hlk94689048"></a><span>Global warming is assumed to restructure mountain insect communities in space and time. Theory and observations along climate gradients predict that insect abundance and richness, especially of small-bodied species, will increase with increasing temperature</span>.<span> However, the specific responses of single species to rising temperatures, such as spatial range shifts, may weaken such prediction, asking for intensive monitoring of real-world communities over time. Here, we examined the temporal and spatial change in wild bee communities and its drivers along two largely well-protected elevational gradients (alpine grassland vs. prealpine forest), each resampled within the last decade. Along both gradients, we detected clear upward shifts in bee communities,</span> with cold-adapted bumblebee species<em> </em><span>reacting particularly sensitive, demonstrating the speed with which mobile organisms can respond to climatic changes. Mean annual temperature (MAT) was identified as the main driver of species richness in both regions. Accordingly, and in large overlap with expectations under climate warming, we detected an increase in bee richness and abundance, and an increase of small-bodied species in low- and mid-elevations along the grassland gradient. While changes in upward shifts, species richness, abundance and body size in the prealpine forest gradient were partly consistent with the alpine grassland system, they were generally weaker, which could be due to a much less severe warming trend than in the alpine grassland system or due to the variable and possibly confounding effect of canopy cover. Our study highlights the use of <a name="_Hlk94772843"></a>accurate assessed abundance data revealing rapid changes in bee communities over only one decade. We conclude, that in well-protected temperate regions, small-bodied bees may initially profit from warming temperatures, by getting more abundant and diverse.</span></p>
The genetic basis of plumage coloration and elevation adaptation in a clade of recently diverged alpine and arctic songbirds
<p>Trait genetic architecture plays an important role in the probability that variation in that trait leads to divergence and speciation. In some cases, speciation may be driven by the generation of novel phenotypes through the recombination of genes associated with traits that are important for local adaptation or sexual selection. Here, we investigate the genetic basis of three plumage color traits, and one ecological trait, breeding elevation, in a recent avian radiation, the North American rosy-finches (<em>Leucosticte</em> spp.). We identify unique genomic regions associated with each trait and highlight 11 candidate genes. Among these are well-characterized melanogenesis genes, including Mitf and Tyrp1, and previously reported hypoxia-related genes including Egln1. Additionally, we use mitochondrial data to date the divergence of rosy-finch clades which appear to have diverged within the past 250 ky. Given the low levels of genome-wide differentiation among rosy-finch taxa, and evidence for extensive introgression in North America, plumage coloration and adaptation to high elevations have likely played large roles in generating the observed patterns of lineage divergence. The relative independence of these candidate regions across the genome suggests that recombination might have led to multiple phenotypes, and subsequent rosy-finch speciation, over short periods of time.</p>
Ecological niches of epiphyllous bryophytes along afrotropical elevation gradient
<p><span>Understanding multiple environmental drivers governing tropical organisms' distribution and ecological niches is crucial for predicting their responses to ongoing rapid deforestation. While macroclimatic effects via energy and water availability are well predicted, less is known about locally modulating factors such as canopy structure, light and edaphic conditions. Here we show that minimum temperatures and ambient humidity drive the abundance and richness of leaf-inhabiting epiphyllous bryophytes across a 4-km elevation gradient on Mount Cameroon, West Africa, separating epiphyll-rich rainforests (0–2200 m) from epihyll-poor fire-driven afromontane savanna (2300</span><span>–</span><span>4000 m). However, local factors contribute more than half to the total abundance and richness variation, either directly (light) or indirectly (edaphic conditions) via their effects on host plant composition. The most abundant epiphyllous communities occur in vertically stratified upland rainforests between 600 and 1100 m elevation, where N-fixing tree legumes dominate. Their canopy is relatively sparse, due to nutrient-poor soils leached by high rainfall, leaving room for the development of diverse subcanopy tree and understory shrub and herb layers with epiphyll-rich communities. Vertically homogenous lowland rainforests on fertile soils below 500 m, with dense overstory and shaded and species-poor understory, have less developed epiphylls, as do seasonally dry montane forests between 2000 and 2300 m, or elephant fragmented forests between 1200 and 1600 m. We conclude that high temperature and humidity together with a vertically stratified canopy support epiphylls, whereas precipitation seasonality, disturbed vegetation with unstable microclimate, or dense, unstratified canopy discourage the development of epiphyllous communities. Our study illustrates that ecological niches of epiphyllous bryophytes are shaped by a complex interplay of multiple drivers, knowledge of which is essential for more realistic predictions of the impacts of current accelerated habitat loss on species distribution and diversity changes in the tropics.</span></p>
High-resolution digital elevation models and orthomosaics generated from historical aerial photographs (since the 1960s) of the Bale Mountains in Ethiopia
<p>This dataset contains the results of photogrammetric processing (Digital Elevation Models, Orthomosaics and subset data used for volumetric calculation and visualization) named: “DEM_1967.7z”: inside the zipped folder “1967_DEM.tif” (digital elevation model produced for the year 1967), “DEM_1984.7z”: inside the zipped folder “1984_DEM.tif” exist (digital elevation model produced for the year 1984). In addition, under “1967_Orthomosaic.7z" and "1984_Orthomosaic.7z” zipped folders, there are orthomosaic files produced namely, “1967_orthomosaic.tif” and "1984_orthomosaic.tif” for the year 1967 and 1984, respectively. The DEMs and Orthomosaics subset from the results for sites (data example 1 and data example 2) reside under "Data_Examples.zip". Accuracy of the resulted data were assessed and the extracted elevation values are under "Accuracy_assessment.zip". All DEMs and Orthomosaics are in GeoTIFF format in the Adindan UTM Zone 37 N (EPSG: 20137) projected coordinate system.</p> <p> Potential application of the presented dataset include:</p> <p>1. watershed management</p> <p>2. analyses of historical landscape change</p> <p>3. detailed mapping and analyses of geological and archaeological features, as well as natural resources</p> <p>4. analyses of geomorphological processes</p> <p>5. socioecological patterns and dynamics</p> <p>6. modelling and planning for telecommunications </p> <p>7. biodiversity research. </p> <p>The inputs for the above resulted DEMs and Orthomosaics are found under Zenodo repository "10.5281/zenodo.7271617". </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.