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”
Figure 3 in Biofouling hydroids (Cnidaria: Hydrozoa) from a Tropical Eastern Pacific island, with remarks on their biogeography
Figure 3. Oceaniidae. Corydendrium flabellatum, nematocysts. (a) desmoneme, #266339. (b) microbasic eurytele, #266340. (c) microbasic eurytele, discharged, #266340.
Figure 1 in Biofouling hydroids (Cnidaria: Hydrozoa) from a Tropical Eastern Pacific island, with remarks on their biogeography
Figure 1. Map of Cocos Island showing the location of plate deployment sites at Chatham Bay and Wafer Bay.
Figure 2 in Biofouling hydroids (Cnidaria: Hydrozoa) from a Tropical Eastern Pacific island, with remarks on their biogeography
Figure 2. Anthoathecata: Pennariidae, Oceaniidae and Eudendriidae. (a) Pennaria disticha: hydranth, pedicel and part of hydrocaulus, #266339. (b) Corydendrium flabellatum: two hydranths and distal end of hydrocaulus, #266340. (c) Eudendrium cf. certicaule: hydranth and part of pedicel, #240637. (d) Eudendrium cf. certicaule: pedicel and hydranth with female gonophores, #240634. (e) Eudendrium cf. certicaule: pedicel and hydranth with male gonophores, #240636. (f) Eudendrium cf. certicaule: base of hydrocaulus with a branch, #240636. Scale bars: a, b, f = 0.2 mm; c–e = 0.1 mm.
Figure 6 in Biofouling hydroids (Cnidaria: Hydrozoa) from a Tropical Eastern Pacific island, with remarks on their biogeography
Figure 6. Leptothecata: Obeliidae, Haleciidae, Sertularellidae and Sertulariidae. (a) Obelia microtheca: hydrocaulus with two pedicels and hydrothecae, #240607. (b) Obelia microtheca: part of hydrocaulus with long pedicel and a hydrotheca, #240607. (c) Obelia microtheca: part of hydrocaulus and base of a pedicel with a gonotheca, #240607. (d) Halecium sp.: part of hydrocaulus with hydrothecae and base of a branch, #266335. (e) Sertularella affinicostata: stolon and stem with five hydrothecae, #240592. (f) Sertularella affinicostata: part of stem with two hydrothecae, #240592. (g) Tridentata borneensis: base of a stem with two pairs of hydrothecae, #240634. (h) Tridentata borneensis: distal end of a stem with two pairs of hydrothecae, #240634. (i) Tridentata borneensis: gonotheca, #266336. Scale bars: a, i = 0.2 mm; b–d, f–h = 0.1 mm; e = 0.5 mm.
Evaluating Uncertainty in Aerosol Forcing of Tropical Precipitation Shifts
<p>This dataset contains simplified data and code to reproduce the main figures in "Evaluating Uncertainty in Aerosol Forcing of Tropical Precipitation Shifts" accepted for publication in Earth System Dynamics, 2022, same authors. </p> <p>A Jupyter notebook and csv data files are provided in each folder to reproduce the respective figure.</p>
FIGURE 2. a in On some interesting Orthoptera: Tettigoniidae and Acrididae from tropical Africa
FIGURE 2. a) Lateral view of the holotype of Mangomaloba latipennis; b) the same, dorsal view of the stridulatory area; c) the same, spur on the mid tibiae (cf. arrow), typical character of the genus Morgenia (photos by L. Desutter-Grandcolas). The habitus and morphological characters allow to synonymize Mangomaloba latipennis with Morgenia rubricornis.
FIGURE 1. a in On some interesting Orthoptera: Tettigoniidae and Acrididae from tropical Africa
FIGURE 1. a) Eulioptera bartolozzii n. sp. left lateral view; b) the same, right lateral view; c) the same, dorsal view of the stridulatory area; d) the same, stridulatory file under the left tegmen; e) the same, lateral view of the subgenital plate and cerci; f) ventral view of the subgenital plate; g) dorso-lateral view of the subgenital plate and cerci; h) Eulioptera zambesiana, lateral view of the subgenital plate and cerci; i) Eulioptera montana, lateral view of the subgenital plate and cerci; j) Eulioptera r. reticulata, lateral view of the subgenital plate and cerci; k) Eulioptera monticola, dorso-lateral view of the subgenital plate and cerci.
FIGURE 3. a in On some interesting Orthoptera: Tettigoniidae and Acrididae from tropical Africa
FIGURE 3. a) Mangomaloba excavata n. sp., habitus of the male; b) the same, dorsal view of the stridulatory area; c) the same, stridulatory file under the left tegmen; d) the same, cerci and subgenital plate in lateral view; e) the same, subgenital plate and cerci in dorsal view (the arrow shows the particular shape of cerci); f) the same, subgenital plate and cerci in dorso-lateral view; g) the same, subgenital plate and cerci in ventral view.
Humid tropical vertebrates are at lower risk of extinction and population decline in forests with higher structural integrity
<p>The four Excel workbooks contain processed data in the form of humid tropical forest area under each of multiple values of the Structural Condition Index (SCI), Forest Structural Integrity Index (FSII), and Human Footprint (HFP) for Mammal, Bird, Reptile and Amphibian species. The associated README text file contains metadata to describe the data in the xlsx workbooks. Python code to replicate geospatial analyses and R code to replicate statistical analyses are provided in the respective scripts. ArcGIS Pro is required to be installed prior to running the Python script.</p>
Data from: Comparison of macro-molluscan assemblages in a protected and a non-protected tropical seagrass ecosystem
<p><span>Humans</span><span> be</span><span>nefit </span><span>from a variety of ecosystem services provided by seagrass meadows. However, seagrass conservation efforts appear to be insufficient, as evidenced by its low representation in marine protected areas around the world.</span><span> Protecting seagrasses benefits not just the seagrass itself, but also the macrobenthic invertebrate assemblages that dwell beside it and contribute indirectly to the various environmental services through their functions. Studies comparing seagrass-associated invertebrate assemblages and functional trait composition within and outside marine protected areas are uncommon, so the current study compares invertebrate assemblages and functional trait composition from a marine protected area (Gulf of Mannar Marine National Park) and an adjacent non-marine protected area (Palk Bay) along the southeast coast of India.</span><span> The species richness (mean <em>S</em> = 83.3) and density (mean <em>D</em> = 6276.6) of seagrass-associated macromolluscs were higher in marine protected areas than in non-marine protected areas (mean <em>S</em> = 54.6, mean <em>D</em> = 5264.0), but not the species diversity (mean <em>H'</em> = 2.1 for marine protected areas, mean <em>H'</em> = 2.0 for non-marine protected areas).</span> Protected seagrass ecosystems, on the other hand, exhibited much higher species richness within functional groups (i.e., deposit feeders (mean <em>S</em> = 5.5), micro-/macro-grazers (21.7), predators (34.8), ectoparasites (2.1) and suspension feeders (19.3)), suggesting that the protection status supports functional redundancy. The study's findings reveal the importance of protection status in enhancing macromollusc assemblages in seagrass ecosystems, which improves the ecosystem's resilience and function.</p>
Nombre de nits tropicals a la fase de maduració de la vinya al territori de la D.O. Penedès al llarg del segle XXI als escenaris de canvi climàtic RCP 8.5 i RCP4.5 (format SHP)
<p>Arxius del shapefile (format SHP de Esri) amb la distribució espacial del valor mitjà del nombre de nits tropicals a la fase de maduració de la vinya del territori de la D.O. Penedès als escenaris de canvi climàtic RCP 8.5 i RCP4.5 projectat per a les dècades del segle XXI i el període Control (1972-2005). A més, un arxiu Word amb les metadades del shapefile.</p>
Dataset used in Sea surface wind structure observed by wave gliders during tropical cyclones
<p>Sea surface wind vector observed by three wave gliders deployed in the Western Pacific Ocean. The observation level is 1.2 meter.</p>
Data set: Native forest conversion alters soil macroinvertabrate diversity and soil quality in tropical mountain landscapes of northern Ecuador
<p>Data set an related material of the article entitled: Native forest conversion alters soil macroinvertabrate diversity and soil quality in tropical mountain landscapes of northern Ecuador</p>
FIGURE 2 in A new edible species of Lactifluus (Russulaceae) from Shorea robusta dominated forests in tropical India
FIGURE 2. Lactifluus tropicalis (CAL 1873, holotype). a–c. Fresh and dissected basidiomata in the field and basecamp, d. Transverse section through pileipellis showing elements, e. Transverse section through lamellae showing basidia, f–j. Transverse section through lamellae showing pleuropseudocystidia, k & l. SEM micrograph of basidiospores. Scale bars: d= 20 μm, e−j= 10 μm, k & l= 2 μm.
FIGURE 1 in A new edible species of Lactifluus (Russulaceae) from Shorea robusta dominated forests in tropical India
FIGURE 1. Phylogram of Lactifluus tropicalis and their allied species based on a Maximum Likelihood and Bayesian analyses of nrITS, nrLSU and rpb2 gene sequences. Support values in either the Maximum Likelihood [ML Bootstrap percentage (MLBs)] or Bayesian [Posterior probabilities values (BPP)] analyses are indicated. MLBs ≥70% are shown on the left of "/" and BPP ≥0.95 are shown on the right above or below the branches at nodes. Lactifluus tropicalis is placed in bold red font to highlight its phylogenetic positions in the tree.
FIGURE 3 in A new edible species of Lactifluus (Russulaceae) from Shorea robusta dominated forests in tropical India
FIGURE 3. Lactifluus tropicalis (CAL 1873, holotype). a. Pleuropseudocystidia, b. Basidiospores, c. Basidia, d. Pileipellis. Scale bars: a, c, d= 10 µm, b= 2 µm.
(NEW) Supporting Dataset for 'Role of convection in upper ocean mixing during a tropical cyclone'.
<p>Contains the results from the LES and PWP runs</p>
The impacts of tropical agriculture on biodiversity: A meta-analysis
<p><span>1. </span><span>Biodiversity underpins all food production and strengthens agricultural resilience to crop failure. However, agricultural expansion is the primary driver of biodiversity loss, particularly in the tropics where crop production is increasing and intensifying rapidly to meet a growing global food demand. It is therefore crucial to ask, how do different crops and crop production systems impact biodiversity?</span></p> <p><span>2. </span><span>We first use the FAO database of harvested crop area to explore temporal changes in crop area and intensification across the entire tropical realm. We show that the harvested area of tropical crops has more than doubled since 1961, with ever-increasing intensification. The harvested area in 2019 was 7.21 million km<sup>2</sup>, equivalent to 5.5% of global ice-free land area, or 11.5% of land area in the tropics. </span></p> <p><span>3. </span><span>Second, we conducted a meta-analysis of 194 studies and 1,364 pairwise comparisons to assess the impact of tropical agriculture on biodiversity, comparing biodiversity values in food crop sites versus natural reference habitats.</span></p> <p><span>4. O</span><span>ur meta-analysis shows that crop type, rotation time and level of shading are important determinants of biodiversity assemblages. </span><span>Perennial tropical crops that are grown in shaded plantations or agroforests (e.g., banana and coffee) support higher biodiversity, while crops cultivated in unshaded and often homogeneous croplands (e.g., maize, sugarcane, and oil palm), and particularly annual crops, have impoverished biodiversity communities. </span></p> <p><span>5. </span><span><em>Policy implications</em>:</span><span> Our findings highlight the increasing agricultural expansion and intensification over the last sixty years and </span><span>inform our understanding of how different crops and crop production systems impact biodiversity. Furthermore, they provide insight into the long-term sustainability of tropical food production and may serve as a warning sign for agricultural systems that rely on the ecosystem services provided by biodiversity.</span></p>
Soil carbon is mostly grass-derived in tropical savannas, even under woody encroachment
<p>Tropical savannas have been increasingly targeted for carbon (C) sequestration from afforestation, assuming large gains in soil organic C (SOC) with increasing tree cover. Because savanna SOC is also derived from grasses, this assumption may not reflect real changes in SOC under afforestation, but grass contributions to SOC and changes in SOC with increasing tree cover remain poorly synthesized. Here, we combine a case study from Kruger National Park, South Africa, with data synthesized from tropical savannas globally to show that grass-derived C constitutes more than half of total SOC to a soil depth of 1-meter, even in soils directly under trees. The largest SOC concentrations were associated with the largest grass contributions (> 70% of total SOC). Regionally and across the tropics, SOC concentration was not explained by tree cover. Both SOC gain and loss were observed following increasing tree cover, and on average SOC storage within 1-meter profile only increased by a negligible and non-significant 6% (SE = 4%, n = 44). These results underscore the substantial contribution of grasses to SOC and the considerable uncertainty in SOC responses to increasing tree cover, challenging the widespread assumption that afforestation universally and substantially enhances SOC storage across tropical savannas.</p>
Evolució espai-temporal del nombre de nits tropicals durant la fase de maduració de la vinya al territori de la D.O. Penedès al llarg del segle XXI a l'escenari de canvi climàtic RCP 8.5
<p>Distribució espai-temporal del valor mitjà del nombre de nits tropicals durant la fase de maduració de la vinya al territori de la D.O. Penedès per l’escenari de canvi climàtic intens RCP 8.5 projectat per les properes dècades del segle XXI. A dalt a l’esquerra es mostra l’escenari control on es representa el valor mitjà del període 1972-2005. </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.