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.
5,864
datasets available to search
ShareScore release 0.9.0
Dataset results
5,864 results for “species diversity”
FIGURES 15–23 in Diversity of Armenian mayflies (Ephemeroptera) with the description of a new species of the genus Ecdyonurus (Heptageniidae)
FIGURES 15–23. Ecdyonurus (Ecdyonurus) eurycephalus sp. nov., larva: 15, habitus dorsal; 16, habitus ventral; 17, habitus lateral; 18, head dorsal; 19–21, semipronotum of mature larva; 22–23, semipronotum of early-instar larva.
FIGURES 2–12 in Diversity of Armenian mayflies (Ephemeroptera) with the description of a new species of the genus Ecdyonurus (Heptageniidae)
FIGURES 2–12. Ecdyonurus (Ecdyonurus) spp., male imagoes: 2–5, 8–12, E. (E.) eurycephalus sp. nov.: 2, 4, head lateral; 3, 5, head dorsal; 8, abdomen lateral; 9, abdomen ventral; 10, abdomen dorsal; 11, forewing; 12, hind wing; 6–7, E. (E.) ornatipennis: 6, head lateral; 7, head dorsal.
FIGURE 3 in High haplotype diversity in a microendemic Malagasy gecko species, Lygodactylus mirabilis (Pasteur, 1962)
FIGURE 3: Haplotype network of L. mirabilis using all the 31 sampled individuals (1251 bp, cytochrome b and 16S rRNA genes). Circle size indicates the frequency of the haplotype, as indicated by the circles on the left side of the figure. Black dots indicate missing haplotypes. Straight lines between two haplotypes indicate that they differ by one mutation.
FIGURE 1. A in High haplotype diversity in a microendemic Malagasy gecko species, Lygodactylus mirabilis (Pasteur, 1962)
FIGURE 1. A) Map of Madagascar with indicated the location of the Ankaratra Massif. B) Distribution map of the surveyed area along the mountain peaks of the Ankaratra Massif in Madagascar (see Material and Methods for further explanations). White points indicate where Lygodactylus mirabilis specimens have been found; grey points indicate the locations of the individuals sampled and used for the genetic analysis. C) Altitudinal range of the recorded individuals of L. mirabilis found. Grey areas are proportional to the number of L. mirabilis eggs found at specific altitudes.
Figure 1 in Diversity of the rotifer Brachionus plicatilis species complex (Rotifera: Monogononta) in Iran through integrative taxonomy
Figure 1. Nine linear measurements of the lorica of Brachionus rotifers used in this study, named from (a) to (i) as in Ciros-Pérez et al. (2001).
Figure 5 in Diversity of the rotifer Brachionus plicatilis species complex (Rotifera: Monogononta) in Iran through integrative taxonomy
Figure 5. Output of the K-means partitioning and choice of the best fit according to the Calinski criterion. The greyscale codes for the K-means partitioning indicate the identity of each individual (objects on the x-axis) in the groups from 2 to 9 on the y-axis. Individuals are numbered from 1 to 187 as in Appendix S2 (1 to 20 is Brachionus 'Austria', 21 to 61 is B03, 62 to 167 is Brachionus plicatilis s.s., and 168 to 187 is Brachionus 'Tiscar').The most likely value of the criterion is marked as a filled circle.
Figure 10 in DNA barcoding and morphology reveal exceptional species diversity of Scoparia (Lepidoptera: Crambidae) from the Hailuogou Glacier area, China
Figure 10. Map of China showing the topography and localities where Scoparia spp. are recorded, the coloured dots indicate the recorded localities and species numbers.
Figure 6. A–C in DNA barcoding and morphology reveal exceptional species diversity of Scoparia (Lepidoptera: Crambidae) from the Hailuogou Glacier area, China
Figure 6. A–C, male genitalia of of Scoparia spp. A, Scoparia globosa Li sp. nov., holotype, prep. gen. no. LW12007; B–C, Scoparia annulata Li sp. nov.; B, holotype, prep. gen. no. LW12014; C, paratype, prep. gen. no. LW12026.
Figure 5. A–B in DNA barcoding and morphology reveal exceptional species diversity of Scoparia (Lepidoptera: Crambidae) from the Hailuogou Glacier area, China
Figure 5. A–B, male genitalia of of Scoparia metaleucalis Hampson, 1907. A, prep. gen. no. LW12074; B, prep. gen. no. LW12088.
Figure 2. Minimum-evolution tree deduced from cytochrome c oxidase subunit I in DNA barcoding and morphology reveal exceptional species diversity of Scoparia (Lepidoptera: Crambidae) from the Hailuogou Glacier area, China
Figure 2. Minimum-evolution tree deduced from cytochrome c oxidase subunit I (COI) gene sequences. Sequences were corrected with the Kimura two-parameter substitution model. Codon positions included were 1st + 2nd + 3rd + noncoding. Values represented at the nodes of branches are bootstrap values (1000 replicates).
Figure 9. A–C in DNA barcoding and morphology reveal exceptional species diversity of Scoparia (Lepidoptera: Crambidae) from the Hailuogou Glacier area, China
Figure 9. A–C, female genitalia of Scoparia spp. A, Scoparia brevituba Li, Li & Nuss, 2010, prep. gen. no. LW12032; B, Scoparia globosa Li sp. nov., paratype, prep. gen. no. LW12025; C, Scoparia annulata Li sp. nov., paratype, prep. gen. no. LW12022.
Figure 4. A–C in DNA barcoding and morphology reveal exceptional species diversity of Scoparia (Lepidoptera: Crambidae) from the Hailuogou Glacier area, China
Figure 4. A–C, male genitalia of Scoparia spp. A, Scoparia simplicissima Li sp. nov., holotype, prep. gen. no. LW12094; B, Scoparia tribulosa Li sp. nov., holotype, prep. gen. no. LW12027; C, Scoparia longispina Li sp. nov., holotype, prep. gen. no. LW12044.
Figure 8. A–C in DNA barcoding and morphology reveal exceptional species diversity of Scoparia (Lepidoptera: Crambidae) from the Hailuogou Glacier area, China
Figure 8. A–C, female genitalia of Scoparia spp. A–B, Scoparia metaleucalis Hampson, 1907; A, prep. gen. no. LW13044; B, prep. gen. no. LW12049; C, Scoparia jiuzhaiensis Li, Li & Nuss, 2010, prep. gen. no. LW12036.
Figure 1. Neighbour-joining tree deduced from the cytochrome c oxidase subunit I in DNA barcoding and morphology reveal exceptional species diversity of Scoparia (Lepidoptera: Crambidae) from the Hailuogou Glacier area, China
Figure 1. Neighbour-joining tree deduced from the cytochrome c oxidase subunit I (COI) gene sequences using MEGA 5. Sequences were corrected with the Kimura two-parameter substitution model. Codon positions included were 1st + 2nd + 3rd + noncoding. Values represented at the nodes of branches are bootstrap values (1000 replicates).
Figure 7. A–C in DNA barcoding and morphology reveal exceptional species diversity of Scoparia (Lepidoptera: Crambidae) from the Hailuogou Glacier area, China
Figure 7. A–C, female genitalia of Scoparia spp. A–B, Scoparia tribulosa Li sp. nov., paratypes; A, prep. gen. no. LW12016; B, prep. gen. no. LW13020; C, Scoparia gibbosa Li sp. nov., holotype, prep. gen. no. LW12009.
Figure 3. A–I in DNA barcoding and morphology reveal exceptional species diversity of Scoparia (Lepidoptera: Crambidae) from the Hailuogou Glacier area, China
Figure 3. A–I, adults of Scoparia spp. A, Scoparia simplicissima Li sp. nov., male, paratype; B, Scoparia tribulosa Li sp. nov., female, paratype; C, Scoparia longispina Li sp. nov., male, paratype; D, Scoparia gibbosa Li sp. nov., female, paratype; E, Scoparia metaleucalis Hampson, 1907, female; F, Scoparia jiuzhaiensis Li, Li & Nuss, 2010, female; G, Scoparia brevituba Li, Li & Nuss, 2010, female; H, Scoparia globosa Li sp. nov., female, paratype; I, Scoparia annulata Li sp. nov., male, paratype. Scale bars: 5 mm.
Species diversity and food web structure jointly shape natural biological control in agricultural landscapes
<p>Land-use change and agricultural intensification concurrently impact natural enemy (e.g., parasitoid) communities and their associated ecosystem services (ESs), i.e., biological pest control. However, the extent to which (on-farm) parasitoid diversity and food webs mediate landscape-level influences on biological control remains poorly understood. Here, drawing upon a 3-year study of quantitative parasitoid-hyperparasitoid trophic networks from 25 different agro-landscapes, we assess the cascading effects of landscape composition, species diversity and trophic network structure on ecosystem functionality (i.e., parasitism, hyperparasitism). Path analysis further reveals causality leading to the biological control of a resident crop pest, i.e., <i>Aphis gossypii</i>. Functionality is dictated by (hyper)parasitoid diversity, with its effects modulated by food web generality and vulnerability. Non-crop habitat cover directly benefits biological control, whereas secondary crop cover indirectly lowers hyperparasitism. Our work underscores a need to simultaneously account for on-farm biodiversity and trophic interactions when investigating ESs within dynamic agro-landscapes.</p>
Figure 2. Phylogenetic tree resulting from a in Host specialization and species diversity in the genus Stylops (Strepsiptera: Stylopidae), revealed by molecular phylogenetic analysis
Figure 2. Phylogenetic tree resulting from a Bayesian analysis of the partial sequence from the mitochondrial NADH gene. The names of the host Andrena bees are indicated with every Stylops voucher number. The posterior probabilities are given before the slash; the bootstrap values from the maximum-likelihood (ML) analysis are given after the slash. Posterior probability values lower than 0.9, and bootstrap values lower than 50, are considered as unsupported and are thus replaced by an asterisk (*); incongruent nodes between the two analyses are indicated by a dash (-). Branch support is omitted at the nodes that were unsupported in both the Bayesian and the ML analyses.
Figure 3. Phylogenetic tree resulting from a in Host specialization and species diversity in the genus Stylops (Strepsiptera: Stylopidae), revealed by molecular phylogenetic analysis
Figure 3. Phylogenetic tree resulting from a Bayesian analysis of the partial sequence from the nuclear EF1 gene. Names of host Andrena bees are indicated at every Stylops voucher number. The names of the host Andrena bees are indicated with every Stylops voucher number. The posterior probabilities are given before the slash; the bootstrap values from the maximum-likelihood (ML) analysis are given after the slash. Posterior probability values lower than 0.9, and bootstrap values lower than 50, are considered as unsupported and thus replaced by an asterisk (*); incongruent nodes between the two analyses are indicated by a dash (-). Branch support is omitted at the nodes that were unsupported in both the Bayesian and the ML analyses.
Fig. 3 in Species Diversity and Succession of Dung Beetles (Coleoptera: Geotrupidae and Scarabaeidae) Attracted to Horse Dung on Assateague Island
Fig. 3. Rank abundance curve for dung beetles sampled in three habitats (marsh, dune and forest) on Assateague Island.
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.