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.
247
datasets available to search
ShareScore release 0.9.0
Dataset results
247 results for “forest types”
FIGURE 7. A–J. Goniozus marasmi Kurian, 1955. A–C. Holotype. A in Rediscovery of Kurian's types of Hymenoptera at Forest Research Institute, Dehradun, India with notes on Indian bethylid fauna
FIGURE 7. A–J. Goniozus marasmi Kurian, 1955. A–C. Holotype. A. Antenna; B. Legs (left to right) pro and metalegs; C. Forewing. D–H. Paratype. D. Habitus, lateral view; E. Head, frontal view; F. Mesosoma, dorsal view; G. Metapectal-propodeal disc, dorsal view; H. Metasoma, dorsal view. I. Three slides of holotype. J. Labels of paratype.
FIGURE 5. A–L. Goniozus lygropiae Kurian, 1955. A–D, F. Holotype. A in Rediscovery of Kurian's types of Hymenoptera at Forest Research Institute, Dehradun, India with notes on Indian bethylid fauna
FIGURE 5. A–L. Goniozus lygropiae Kurian, 1955. A–D, F. Holotype. A. Head, frontal view; B. Mesosoma, dorsal view; C. Forewing; D. Legs (left to right) pro and metalegs; F. Metasoma, lateral view. E, G–J. Paratype. E. Antenna; G. Habitus, dorsal view; H. Habitus, lateral view; I. Head, frontal view; J. Mesosoma, dorsal view. K. Four slides, left top of holotype and rest of paratypes. L. Labels of paratype.
FIGURE 2. A–M. Goniozus chatterjii Kurian, 1955. A–E, J. Holotype. A in Rediscovery of Kurian's types of Hymenoptera at Forest Research Institute, Dehradun, India with notes on Indian bethylid fauna
FIGURE 2. A–M. Goniozus chatterjii Kurian, 1955. A–E, J. Holotype. A. Head, dorsal view; B. Antenna; C. Mesosoma, dorsal view; D. Forewing; E. Legs; (left to right) pro, meso and metaleg; J. Metasoma. F–I, K. Paratype. F. Habitus, dorsal view; G. Head, dorsal view; H. Metapectal-propodeal disc, dorsal view; I. Head and mesosoma, dorsal view; K. Metasoma, dorso-lateral view; L. Two slides, upper of holotype and lower of paratype; M. Labels of paratype.
FIGURE 10. A–K. Goniozus nephoterycis Kurian, 1952. Holotype. A in Rediscovery of Kurian's types of Hymenoptera at Forest Research Institute, Dehradun, India with notes on Indian bethylid fauna
FIGURE 10. A–K. Goniozus nephoterycis Kurian, 1952. Holotype. A. Habitus, lateral view; B. Head, frontal view; C. Head, lateral view; D. Antenna; E. Mesosoma, dorsal view; F. Mesosoma, lateral view; G. Posterior half of mesonotum and Metapectalpropodeal disc, dorsal view; H. Forewing; I. Legs (left to right) pro- and metalegs; J. Two slides of holotype; K. Labels.
Species of Acantholichen occurring only in the Neotropics show a high degree of endemism (Dal Forno et al. 2016). Of the seven species now recognized in this genus (Table 2), 71.4% (5) are known only from South America. As with Dictyonema, Acantholichen seem to be specific to substrate type and appears in the Andean small forest occurring on mosses in tree bark inhabiting mostly exposed habitats. Cyphellostereum is also represented by a high number of species restricted to the Neotropics [6 (66.6%)], while one is known only from North America, one from Southeastern United States and Puerto Rico, and another species is known only from Borneo and Fiji (Table 2). It is probably due to their unusual appearance that these lichens are getting confused with free-living cyanobacteria colonies, and that there are still undescribed species in the Neotropics. in Eight new species of lichenized Basidiomycota in the genera Acantholichen, Cyphellostereum and Dictyonema s.str. (Agaricales, Hygrophoraceae) from northern South America
Species of Acantholichen occurring only in the Neotropics show a high degree of endemism (Dal Forno et al. 2016). Of the seven species now recognized in this genus (Table 2), 71.4% (5) are known only from South America. As with Dictyonema, Acantholichen seem to be specific to substrate type and appears in the Andean small forest occurring on mosses in tree bark inhabiting mostly exposed habitats. Cyphellostereum is also represented by a high number of species restricted to the Neotropics [6 (66.6%)], while one is known only from North America, one from Southeastern United States and Puerto Rico, and another species is known only from Borneo and Fiji (Table 2). It is probably due to their unusual appearance that these lichens are getting confused with free-living cyanobacteria colonies, and that there are still undescribed species in the Neotropics.
Effects of multiple types' ecological factors on the body mass of small rodents in a forest ecosystem
<p><span>The body mass of animals is directly or indirectly affected by multiple ecological factors. However, the effects of ecological factors on body mass are controversial, and a comprehensive study dealing with diverse ecological factors is rare. This study was performed to determine the effects of ecological factors on the body mass of small rodents in a </span><span>natural deciduous forest</span><span> located on</span><span> Mt. Gariwang, </span><span>Pyeongchang, and Jeongseon, South Korea from May 2019 to October 2020. We classified ecological factors into topographic, climatic, cover, and demographic factors. T</span><span>hree forest-dwelling small rodent species, striped field mouse (<em>Apodemus agrarius</em>), Korean field mouse (<em>A. peninsulae</em>), and red-backed vole (<em>Myodes regulus</em>), were captured using </span><span>the capture-mark-recapture method</span><span>. The findings showed that the b</span><span>ody mass of three rodent species was not regulated by topographic factors. In addition, a high ambient temperature resulted in a heavy body mass for <em>A. agrarius</em> and <em>A. peninsulae</em>, and the <em>A. agrarius</em> body mass was negatively affected by extreme rainfall. The body mass of each rodent species had a specific response to the cover factors: ground vegetation, understory vegetation, or downed trees. The three species showed sexual dimorphism and two <em>Apodemus</em> species competed with each other. This study reveals that ecological factors affecting body mass differ among species. </span><span>Our findings contribute to enhancing the understanding of variation in the body mass of animals, particularly small rodents, in response to diverse ecological factors.</span></p>
Forest Types Show Divergent Biophysical Responses After Fire: Challenges to Ecological Modeling
<p>Datasets and scripts (MATLAB and R) used to document patterns of post-fire biophysical dynamics in seven forest types and 21 Level III ecoregions of the western United States.</p>
Fern communities in lowland tropical forests of Brunei Darussalam, Borneo: diversity, indicator species, and environmental drivers across forest types
Open the record for dataset details and reuse information.
Effects of multiple types’ ecological factors on the body mass of small rodents in a forest ecosystem
Open the record for dataset details and reuse information.
Data from: The functional trait space of tree species is influenced by the species richness of the canopy and the type of forest
Open the record for dataset details and reuse information.
Data from: Improved estimates of biomass expansion factors and root-to-shoot ratios: An approach for different forest types across a climatic gradient in Brazil
Open the record for dataset details and reuse information.
Data from: Forest-type specialization strongly predicts avian responses to tropical agriculture
Open the record for dataset details and reuse information.
Data from: Matrix type and landscape attributes modulate avian taxonomic and functional spillover across habitat boundaries in the Brazilian Atlantic Forest
Open the record for dataset details and reuse information.
Data from: Bushmeat genetics: setting up a reference framework for the DNA-typing of African forest bushmeat
Open the record for dataset details and reuse information.
Type of broadleaf forest matters most for ptyctimous mite communities (Acari, Oribatida) in Norway
Open the record for dataset details and reuse information.
Data from: Plant functional types broadly describe water use strategies in the Caatinga, a seasonally dry tropical forest in northeast Brazil
Open the record for dataset details and reuse information.
Species list, with traits, in four forest types
Open the record for dataset details and reuse information.
Landform type mediates compositional change in a hurricane-disturbed sub-tropical forest
Open the record for dataset details and reuse information.
Tree mycorrhizal type mediates the strength of negative density dependence in temperate forests
Open the record for dataset details and reuse information.
Assessment of genetic diversity and population structure of Eulaema nigrita (Hymenoptera: Apidae: Euglossini) as a factor of habitat type in Brazilian Atlantic forest fragments
Open the record for dataset details and reuse information.
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.