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.
7,883
datasets available to search
ShareScore release 0.9.0
Dataset results
7,883 results for “Tropic”
FIG. 20. Acropora cytherea, G59958 in Revision and catalogue of worldwide staghorn corals Acropora and Isopora (Scleractinia: Acroporidae) in the Museum of Tropical Queensland
FIG. 20. Acropora cytherea, G59958, Ari Atoll lagoon, Maldives, 2006 (photo: P. Muir). Map of documented distribution: blue squares = MTQ specimens; pink squares = literature records; orange diamonds = type localities (where given), including primary synonyms.
Formation of tropical anvil clouds by slow evaporation (manuscript data)
<p>Cloud-resolving model output used in the manuscript "Formation of tropical anvil clouds by slow evaporation" by Seeley et al. </p>
Figure data of "Measurement report: Molecular-level investigation of atmospheric cluster ions at the tropical high-altitude research station Chacaltaya (5240 m a.s.l.) in the Bolivian Andes"
<p>This dataset involves the data that is used for the figures in "Measurement report: Molecular-level investigation of atmospheric cluster ions at the tropical high-altitude research station Chacaltaya (5240 m a.s.l.) in the Bolivian Andes".</p>
Tropical Forest Monitoring: Challenges and Recent Progress in Research
<p>Data accompanying: </p> <p><em>Remote Sens.</em> <strong>2021</strong>, <em>13</em>(12), 2252; <a href="https://doi.org/10.3390/rs13122252">https://doi.org/10.3390/rs13122252</a></p>
FIGURE 8 in Mischochalcis, an enigmatic new genus of Chalcididae (Hymenoptera: Chalcidoidea) from the Old World tropics with the description of a new species
FIGURE 8. Mischochalcis inermis, holotype, male. A, fore wing; B, fore wing (in part); C–D, hind leg, lateral view; E, metatibia, lateral view; F, apex of metatibia, lateral view. Abbreviations: asp, apical spine; eac, external additional carina; ic, intermediate carina; ovc, outer ventral carina.
FIGURE 4 in Mischochalcis, an enigmatic new genus of Chalcididae (Hymenoptera: Chalcidoidea) from the Old World tropics with the description of a new species
FIGURE 4. Mischochalcis enigmatus, holotype, female. A, metasoma, lateral view; B, metasoma, dorsal view.
FIGURE 5 in Mischochalcis, an enigmatic new genus of Chalcididae (Hymenoptera: Chalcidoidea) from the Old World tropics with the description of a new species
FIGURE 5. Mischochalcis enigmatus, paratype, female. A, habitus, lateral view; B, habitus, dorsal view.
FIGURE 3 in Mischochalcis, an enigmatic new genus of Chalcididae (Hymenoptera: Chalcidoidea) from the Old World tropics with the description of a new species
FIGURE 3. Mischochalcis enigmatus, holotype, female. A, hind leg, lateral view; B, wings; C, metatibia, oblique view; D, metatibia, ventral view; E, metatibia, lateral view. Abbreviations: asp, apical spine; eac, external additional carina; ic, intermediate carina; ovc, outer ventral carina.
FIGURE 2 in Mischochalcis, an enigmatic new genus of Chalcididae (Hymenoptera: Chalcidoidea) from the Old World tropics with the description of a new species
FIGURE 2. Mischochalcis enigmatus, holotype, female. A, antenna; B, apical segments of antenna; C, mesosoma, dorsal view; D, mesosoma, lateral view; E, head and mesosoma, ventral view; F, propodeum, dorsal view.
FIGURE 1 in Mischochalcis, an enigmatic new genus of Chalcididae (Hymenoptera: Chalcidoidea) from the Old World tropics with the description of a new species
FIGURE 1. Mischochalcis enigmatus, holotype, female. A, habitus, lateral view; B, habitus, dorsal view; C, head, anterior view; D, head, oblique view; E, head, dorsal view; F, lower part of head, anterior view.
FIGURE 6 in Mischochalcis, an enigmatic new genus of Chalcididae (Hymenoptera: Chalcidoidea) from the Old World tropics with the description of a new species
FIGURE 6. Mischochalcis inermis, holotype, male. A, head, anterior view; B, head, antero-lateral view; C, head, lateral view; D, head, dorsal view (arrow points to sulcate interantennal projection); E, antenna; F, apical segments of antenna. Abbreviation: fsu, false suture.
Factors limiting plant recruitment in a Tropical Afromontane Forest
<p><span>Predicting how forest species composition may change in response to global change is essential for meaningful management. Which species are most likely to successfully recruit depends on a multitude of factors, but processes operating at the seed-to-seedling transition being especially important. Here we explore how insufficient seed dispersal (dispersal limitation) and ecological filtering of seedlings (establishment limitation) influence species recruitment in an Afromontane Forest. We combined census data from seeds in seed traps and seed-seedling transition plots in a Nigerian montane forest to measure dispersal and establishment limitation across species, life history strategies and seed sizes. From 106 seed traps and 318 seedling plots we recorded 11,278 seeds from 38 species and 2,688 seedlings of 61 species. All species except for one liana showed strong dispersal limitation while 23 out of the 30 species showed establishment limitation. The two lianas sampled had significantly lower dispersal limitation compared to the trees investigated in the study. Our results suggest that both dispersal and establishment limitation are markedly high in this Afromontane forest than would be expected in a lowland counterpart. </span></p>
Data from: Niche width predicts extinction from climate change and vulnerability of tropical species
<p>Climate change may be a major threat to global biodiversity, especially to tropical species. Yet, why tropical species are more vulnerable to climate change remains unclear. Tropical species are thought to have narrower physiological tolerances to temperature, and they have already experienced a higher estimated frequency of climate-related local extinctions. These two patterns suggest that tropical species are more vulnerable to climate change because they have narrower thermal niche widths. However, no studies have tested whether species with narrower climatic niche widths for temperature have experienced more local extinctions, and if these narrower niche widths can explain the higher frequency of tropical local extinctions. Here, we test these ideas using resurvey data from 538 plant and animal species from 10 studies. We found that mean niche widths among species and the extent of climate change (increase in maximum annual temperatures) together explained most variation (>75%) in the frequency of local extinction among studies. Surprisingly, neither latitude nor occurrence in the tropics alone significantly predicted local extinction among studies, but latitude and niche widths were strongly inversely related. Niche width also significantly predicted local extinction among species, as well as among and (sometimes) within studies. Overall, niche width may offer a relatively simple and accessible predictor of the vulnerability of populations to climate change. Intriguingly, niche width has the best predictive power to explain extinction from global warming when it incorporates coldest yearly temperatures.</p>
Statistics of the Subgrid Cloud of an Idealized Tropical Cyclone at Convection-Permitting Resolution
<p>Data and analysis scripts for figures of Journal article (Statistics of the Subgrid Cloud of an Idealized Tropical Cyclone at Convection-Permitting Resolution)</p>
Hotspots of gross emissions from the land use sector: patterns, uncertainties, and leading emission sources for the period 2000–2005 in the tropics
<p>According to the latest report of the Intergovernmental Panel on Climate Change (IPCC), emissions must be cut by 41–72 % below 2010 levels by 2050 for a likely chance of containing the global mean temperature increase to 2 °C. The AFOLU sector (Agriculture, Forestry and Other Land Use) contributes roughly a quarter ( ∼  10–12 Pg CO<sub>2</sub>e yr<sup>−1</sup>) of the net anthropogenic GHG emissions mainly from deforestation, fire, wood harvesting, and agricultural emissions including croplands, paddy rice, and livestock. In spite of the importance of this sector, it is unclear where the regions with hotspots of AFOLU emissions are and how uncertain these emissions are. Here we present a novel, spatially comparable dataset containing annual mean estimates of gross AFOLU emissions (CO<sub>2</sub>, CH<sub>4</sub>, N<sub>2</sub>O), associated uncertainties, and leading emission sources, in a spatially disaggregated manner (0.5°) for the tropics for the period 2000–2005. Our data highlight the following: (i) the existence of AFOLU emissions hotspots on all continents, with particular importance of evergreen rainforest deforestation in Central and South America, fire in dry forests in Africa, and both peatland emissions and agriculture in Asia; (ii) a predominant contribution of forests and CO<sub>2</sub> to the total AFOLU emissions (69 %) and to their uncertainties (98 %); (iii) higher gross fluxes from forests, which coincide with higher uncertainties, making agricultural hotspots appealing for effective mitigation action; and (iv) a lower contribution of non-CO<sub>2</sub> agricultural emissions to the total gross emissions (ca. 25 %), with livestock (15.5 %) and rice (7 %) leading the emissions. Gross AFOLU tropical emissions of 8.0 (5.5–12.2) were in the range of other databases (8.4 and 8.0 Pg CO<sub>2</sub>e yr<sup>−1</sup> in FAOSTAT and the Emissions Database for Global Atmospheric Research (EDGAR) respectively), but we offer a spatially detailed benchmark for monitoring progress in reducing emissions from the land sector in the tropics. The location of the AFOLU hotspots of emissions and data on their associated uncertainties will assist national policy makers, investors, and other decision-makers who seek to understand the mitigation potential of the AFOLU sector.</p>
Removing climbers more than doubles tree growth and biomass in degraded tropical forests
<p>Huge areas of tropical forests are degraded, reducing their biodiversity, carbon, and timber value. The recovery of these degraded forests can be significantly inhibited by climbing plants such as lianas. Removal of super-abundant climbers thus represents a restoration action with huge potential for application across the tropics. While experimental studies largely report positive impacts of climber removal on tree growth and biomass accumulation, the efficacy of climber removal varies widely, with high uncertainty as to where and how to apply the technique. Using meta-analytic techniques, we synthesise results from 26 studies to quantify the efficacy of climber removal for promoting tree growth and biomass accumulation. We find that climber removal increases tree growth by 156% and biomass accumulation by 209% compared to untreated forest, and that efficacy remains for at least 19 years. Extrapolating from these results, climber removal could sequester an additional 32 Gigatons of CO<sub>2</sub> over 10 years, at low cost, across regrowth and production forests. Our analysis also revealed that climber removal studies are concentrated in the Neotropics (N=22), relative to Africa (N=2) and Asia (N=2), preventing our study from assessing the influence of region on removal efficacy. While we found some evidence that enhancement of tree growth and AGB accumulation varies across disturbance context and removal method, but not across climate, the number and geographical distribution of studies limits the strength of these conclusions. Climber removal could contribute significantly to reducing global carbon emissions and enhancing the timber and biomass stocks of degraded forests, ultimately protecting them from conversion. However, we urgently need to assess the efficacy of removal outside the Neotropics and consider the potential negative consequences of climber removal under drought conditions and for biodiversity.</p>
Data and code for: Human density modulates spatial associations among tropical forest terrestrial mammal species
<p>The spatial aggregation of species pairs often increases with the ecological similarity of the species involved. However, the way in which environmental conditions and anthropogenic activity affect the relationship between spatial aggregation and ecological similarity remains unknown despite the potential for spatial associations to affect species interactions, ecosystem function, and extinction risk. Given that human disturbance has been shown to both increase and decrease spatial associations among species pairs, ecological similarity may have a role in mediating these patterns. Here, we test the influences of habitat diversity, primary productivity, human population density, and species' ecological similarity based on functional traits (i.e., functional trait similarity) on spatial associations among tropical forest mammals. Large mammals are highly sensitive to anthropogenic change and therefore susceptible to changes in interspecific spatial associations. Using two-species occupancy models and camera trap data, we quantified the spatial overlap of 1,216 species pairs from 13 tropical forest-protected areas around the world. We found that the association between ecological similarity and interspecific species associations depended upon surrounding human density. Specifically, aggregation of ecologically similar species was more than an order of magnitude stronger in landscapes with the highest human density compared to those with the lowest human density, even though all populations occurred within protected areas. Human-induced changes in interspecific spatial associations have been shown to alter top-down control by predators, increase disease transmission and increase local extinction rates. Our results indicate that anthropogenic effects on the distribution of wildlife within protected areas are already occurring and that impacts on species interactions, ecosystem functions, and extinction risk warrant further investigation. </p>
FIGURES 9–17 in Mallomonas fragariformis sp. nov. (Synurales, Chrysophyceae), a new tropical chrysophyte species
FIGURES 9–17. Mallomonas fragariformis sp. nov. Figures 9, 10. Collar scales. Figure 9. SEM. Figure 10. TEM. Figure 11. Body and rear scales, TEM. Figures 12–16. Body scales, TEM. Figure 17. Group of scales and bristles. Scale bars: Figures 9, 12, 14: 1 μm; Figures 10–11, 13, 15–17: 2 μm.
FIGURES 2–8 in Mallomonas fragariformis sp. nov. (Synurales, Chrysophyceae), a new tropical chrysophyte species
FIGURES 2–8. Mallomonas fragariformis sp. nov. Figures 2–5. Body scales, SEM. Figure 5. Close-up view of the scale ornamentation. Figure 6. Rear scale with a small spine, SEM. Figure 7. Group of rear scales, SEM. Note the spines with four serrated edges. Figure 8. Group of body and rear scales, TEM. Scale bars: Figures 2–7: 1 μm; Figure 8: 2 μm.
Altitude-mediated soil properties, not geography or climatic distance, explain the distribution of a tropical endemic herb
<p><span><span><span><span><span><span><span><span><span><span><span>Understanding the ecological processes that govern species' range margins is a fundamental question in ecology with practical implications in conservation biology. The centre-periphery hypothesis (CPH) predicts that organisms have higher abundance at the centre of their geographic range. However, most tests of the CPH often used raster data, assuming that climatic conditions are consistent across one square km. This assumption is not always justified, particularly for species that live in mountainous regions where climatic conditions often vary widely across a small special scale. When using occurrence data, most previous studies do not evenly sample across the species' distribution. We sampled 54 plots of an endemic perennial herb, <i>Thunbergia atacorensis</i> (Acanthanceae), throughout its range in West-Africa to collect biotic and abiotic variables including, <i>Thunbergia</i> density, leaf mass per area, and basal diameter. The basal diameter was used to estimate population demographic structure (skewness). We used these data to build a structural equation model testing the direct and indirect effects of distance from geographic and climatic niche centres, and altitude on density of <i>Thunbergia atacorensis </i>as mediated by abiotic and biotic factors, population skewness, and individual size. Contrary to the prediction of the CPH, plant density did not vary with distance from geographic or climatic niche centre, indicating that even the climatic centre does not necessarily have optimal ecological conditions. However, soil nitrogen and soil potassium mediated the relationship between altitude and plant density. Further, plant size increased with soil nitrogen and soil potassium. We found no direct or mediating effect of interspecific competition on plant density. Our study highlights the relative role that abiotic factors play in shaping species range limits, and the critical role of altitudinal gradient.</span></span></span></span></span></span></span></span></span></span></span></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.