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”
Data from: Forest-type specialization strongly predicts avian responses to tropical agriculture
<p>Species' traits influence how populations respond to land-use change. However, even in well-characterized groups such as birds, widely studied traits explain only a modest proportion of the variance in response across species. Here, we show that associations with particular forest types strongly predict the sensitivity of forest-dwelling Amazonian birds to agriculture. Incorporating these fine-scale habitat associations into models of population response dramatically improves predictive performance and markedly outperforms the functional traits that commonly appear in similar analyses. Moreover, by identifying habitat features that support assemblages of unusually sensitive habitat-specialist species, our model furnishes straightforward conservation recommendations. In Amazonia, species that specialize on forests along a soil–nutrient gradient (i.e. both rich-soil specialists and poor-soil specialists) are exceptionally sensitive to agriculture, whereas species that specialize on floodplain forests are unusually insensitive. Thus, habitat specialization per se does not predict disturbance sensitivity, but particular habitat associations do. A focus on conserving specific habitats that harbour highly sensitive avifaunas (e.g. poor-soil forest) would protect a critically threatened component of regional biodiversity. We present a conceptual model to explain the divergent responses of habitat specialists in the different habitats, and we suggest that similar patterns and conservation opportunities probably exist for other taxa and regions.</p>
FIGURE 6 in Cleridae (Insecta: Coleoptera) type collection at National Forest Insect Collection (NFIC), Forest Research Institute, Dehradun (India)
FIGURE 6. (a) Cylidrus cyaneus var. picimanus, Paratype, (b) Elasmocylidrus tricolor, Paratype, (c) Tillus notatus ab. suturalis, Paratype, (d) Tillus notatus ab. tripartitus, Paratype.
FIGURE 4 in Cleridae (Insecta: Coleoptera) type collection at National Forest Insect Collection (NFIC), Forest Research Institute, Dehradun (India)
FIGURE 4. (a) Tenerus quadrimaculatus ab. apicipennis, Holotype, (b) Tenerus quadrimaculatus ab. biguttulus, Holotype, (c) Tenerus quadrimaculatus ab. nigrior, Holotype, (d) Tenerus quadrimaculatus ab. pallidicornis, Holotype.
FIGURE 3 in Cleridae (Insecta: Coleoptera) type collection at National Forest Insect Collection (NFIC), Forest Research Institute, Dehradun (India)
FIGURE 3. (a) Tenerus belgamensis ab. concoloricollis, Holotype, (b) Tenerus belgamensis ab. obscuriventris, Holotype, (c) Tenerus femoralis, Holotype, (d) Tenerus limbatus, Holotype.
FIGURE 5 in Cleridae (Insecta: Coleoptera) type collection at National Forest Insect Collection (NFIC), Forest Research Institute, Dehradun (India)
FIGURE 5. (a) Thaneroclerus quasitardatus, Paratype, (b) Cladiscus fasciatus ab. humeralis, Holotype, (c) Cladiscus fasciatus ab. inornotus, Holotype, (d) Cladiscus fasciatus ab. ruficeps, Holotype.
FIGURE 1 in Cleridae (Insecta: Coleoptera) type collection at National Forest Insect Collection (NFIC), Forest Research Institute, Dehradun (India)
FIGURE 1. (a) Opilo discodirus, Paratype, (b) Thanasimus himalayensis, Holotype, (c) Thanasimus himalayensis ab. triangularis, Paratype, (d) Xenorthrius robustus, Paratype.
FIGURE 7 in Cleridae (Insecta: Coleoptera) type collection at National Forest Insect Collection (NFIC), Forest Research Institute, Dehradun (India)
FIGURE 7. (a) Tillus notatus ab. tristiculus, Paratyp, (b) Tillus unifasciatus var. cingulatus, Paratype, (c) Tillus vicarius, Paratype.
FIGURE 2 in Cleridae (Insecta: Coleoptera) type collection at National Forest Insect Collection (NFIC), Forest Research Institute, Dehradun (India)
FIGURE 2. (a) Teneropsis gardneri, Paratype, (b) Callimerus distinctus, Paratype, (c) Callimerus nilgirianus var. ayuranus, Paratype, (d) Tenerus belgamensis ab. concolor, Holotype.
Supplementary Table S1 for manuscript Two new species of Russula subsection Amoeninae described from dry dipterocarp forest in Thailand suggest niche speciali-zation to this habitat type
<p>Specimens and GenBank accession number of DNA sequences used in the phylogenetic analyses. The newly generated sequences in this study are presented in boldface. The A is indicated for angiocarpic specimens.</p>
Figure 1 in Diversity and abundance of fungivorous thrips (Thysanoptera) associated with leaf-litter and bark across forest types and two tree genera in subtropical Australia
Figure 1. Morphological diversity among fungal-feeding thrips. (A) Anaglyptothrips dugdalei; (B) Baenothrips moundi; (C) Corroboreethrips sp. nr subsolanus; (D) Horistothrips australiae; (E) Merothrips floridensis; (F) Uzelothrips scabrosus; (G) Psalidothrips sp. nov. "A"; (H) Zemiathrips uptoni; (I) Gen. nov. Phlaeothripinae "N".
Figure 2 in Diversity and abundance of fungivorous thrips (Thysanoptera) associated with leaf-litter and bark across forest types and two tree genera in subtropical Australia
Figure 2. Location of the D'Aguilar National Park, within the Macpherson–Macleay overlap where the Torresian and Bassian zones come together, which results in increased biodiversity.
Figure 2 in Patterns of species participation across multiple mixed-species flock types in a tropical forest in northeastern India
Figure 2. Body mass distribution of participant species of three mixed-species flock types. "Large-bodied" flocks are composed of species that are significantly larger than species comprising "Understorey" flocks. Both these flocks are understorey–midstorey foraging flocks.
Figure 3 in Patterns of species participation across multiple mixed-species flock types in a tropical forest in northeastern India
Figure 3. Foraging method groups in (A) core and (B) regular attendant species. Core species in both understorey and canopy mixed-species flocks showed a relatively heterogeneous representation of different foraging method groups compared with attendant species.
Figure 1 in Patterns of species participation across multiple mixed-species flock types in a tropical forest in northeastern India
Figure 1. Cluster dendrogram of mixed-species bird flocks showing three distinct flock types, namely understorey flocks, canopy flocks and flocks composed of large-bodied bird species. Each "tip" represents a mixed-species flock.
Figure 1 in Comparison of reptile communities in three types of thermophilous Mediterranean forest in southern Greece
Figure 1. Map showing the location of the study area and the forest types at Srofylia, western Peloponnisos. Black represents Quercus aegilops, horizontal lines Pinus pinea and vertical lines Pinus halepensis.
Figure 2 in Comparison of reptile communities in three types of thermophilous Mediterranean forest in southern Greece
Figure 2. Cluster analysis dendrogram of Euclidean distances between the three forest habitats and their transition zones. The abbreviations used follow the habitat codes displayed in Table 1.
FIGURE 43. A–I. Sclerodermus delhiensis Kurian, 1955. A–D. Holotype. A in Rediscovery of Kurian's types of Hymenoptera at Forest Research Institute, Dehradun, India with notes on Indian bethylid fauna
FIGURE 43. A–I. Sclerodermus delhiensis Kurian, 1955. A–D. Holotype. A. Head, frontal view; B. Antenna; C. Mesosoma, dorsal view; D. Habitus, lateral view; E–G, paratype; E. Head, frontal view; F. Habitus, lateral view; G. Mesosoma, dorsal view. H. Five slides, upper one of holotypes and rest paratypes; I. Labels of paratype.
FIGURE 44. A–E. Sclerodermus hardwickiae Kurian, 1955. Holotype. A in Rediscovery of Kurian's types of Hymenoptera at Forest Research Institute, Dehradun, India with notes on Indian bethylid fauna
FIGURE 44. A–E. Sclerodermus hardwickiae Kurian, 1955. Holotype. A. Head, frontal view; B. Mesosoma parts, dorsal view; C. Antenna; D. Metasoma, dorsal view. E. One slide of holotype.
FIGURE 42. A–G. Cephalonomia tritici Kurian, 1955. Holotype. A in Rediscovery of Kurian's types of Hymenoptera at Forest Research Institute, Dehradun, India with notes on Indian bethylid fauna
FIGURE 42. A–G. Cephalonomia tritici Kurian, 1955. Holotype. A. Head, frontal view; B. Parts of antenna; C. Legs, left pro- and right metaleg; D. Forewing; E. Metasoma, dorsal view; F. Mesosoma, dorsal view; G. Two slides of holotype.
FIGURE 38. A–H. Sulcomesitius bahaduri Kurian, 1955. Holotype. A in Rediscovery of Kurian's types of Hymenoptera at Forest Research Institute, Dehradun, India with notes on Indian bethylid fauna
FIGURE 38. A–H. Sulcomesitius bahaduri Kurian, 1955. Holotype. A. Mesosoma, dorso-lateral view; B. Antenna; C. Legs, left pro- and right metaleg; D. Mesosoma, dorsal view; E. Mesosoma, lateral view; F. Forewing; G. Two slides of holotype; H. Labels.
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.