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.
8,119
datasets available to search
ShareScore release 0.7.1
Dataset results
8,119 results for “species distribution”
Figure 5 in Human activity mediates reciprocal distribution and niche separation of two sympatric mongoose species on the Pothwar Plateau, Pakistan
Figure 5. Prey species richness (S), diversity index (H'), and evenness index (E) of the prey species of the small Indian mongoose (Herpestes javanicus) on the Pothwar Plateau during the current study period.
Figure 1 in Human activity mediates reciprocal distribution and niche separation of two sympatric mongoose species on the Pothwar Plateau, Pakistan
Figure 1. GIS-based map showing distribution of the two mongoose species (Herpestes javanicus and H. edwardsii)
Figure 4 in Human activity mediates reciprocal distribution and niche separation of two sympatric mongoose species on the Pothwar Plateau, Pakistan
Figure 4. Photomicrographs of whole mount of hair structure of five different rodent species (recovered from fecal samples of gray mongoose and reference hair of rodents) consumed by the gray mongoose; A) Whole mount of recovered hair of Golunda ellioti, B) Whole mount of reference hair of Golunda ellioti, C) Whole mount of recovered hair of Tetera indica, D) Whole mount of reference hair of Tetera indica, E) Whole mount of recovered hair of Nesokia indica, F) Whole mount of reference hair of Nesokia indica, G) Whole mount of recovered hair of Rattus rattus, H) Whole mount of reference hair of Rattus rattus, I) Whole mount of recovered hair of Mus musculus, J) Whole mount of reference hair of Mus musculus.
Figures 1–3 in A new key for the species of Ateuchus Weber (Coleoptera: Scarabaeidae: Scarabaeinae) occurring in Mexico, with a description of the first North American inquiline species from a rodent burrow (Rodentia: Geomydae) and new distribution records
Figures 1–3. Ateuchus tuza sp. nov.; 1, dorsal habitus of holotype; 2, ventral habitus of holotype; 3, wrinkled area at the base of the head of a male.
Fig. 1 in Filling gaps in species distributions through the study of biological collections: 415 new distribution records for Neotropical Cryptinae (Hymenoptera, Ichneumonidae)
Fig. 1. Heatmap with new distribution records for Neotropical Cryptinae. Warmer colors (red) indicate higher density of records, while whiter areas indicate sparse records or lack thereof.
Figure 10 in Spodoptera cosmioides (Lepidoptera: Noctuidae) in Brazil: spatial distribution and relationship in the S. latifascia species group
Figure 10 Pairwise genetic distance (mean and standard error) in the S. latifascia group (S. cosmioides, S. descoinsi, S. evanida, and S. latifascia) based on sequences of the Cytochrome oxidase subunit I (COI) gene fragment, using Kimura-2 parameters (K2P) model. The dashed line highlights a 1% threshold of distance.
Figure 8 in Spodoptera cosmioides (Lepidoptera: Noctuidae) in Brazil: spatial distribution and relationship in the S. latifascia species group
Figure 8 Maximum likelihood tree of Spodoptera cosmioides reconstructed based on sequences of the Cytochrome oxidase subunit I gene. Sequences of S. descoinsi (blue), S. evanida, and S.latifascia taken from BOLD Systems were also included.The numbers above the branches indicate bootstrap support (asterisk indicates values below 50%). Bold indicate sequences from French Guiana (blue, S. descoinsi; black, S. cosmioides).
Figure 7 in Spodoptera cosmioides (Lepidoptera: Noctuidae) in Brazil: spatial distribution and relationship in the S. latifascia species group
Figure 7 Variation in Spodoptera cosmioides wing length for populations distributed along a latitudinal gradient in Brazil. Blue and yellow colors correspond to male and female, respectively. Box plots represent medians and quartiles.
Figure 6 in Spodoptera cosmioides (Lepidoptera: Noctuidae) in Brazil: spatial distribution and relationship in the S. latifascia species group
Figure 6 Lectotype of Spodoptera cosmioides (A), paratype of S. descoinsi (B), possible (syn)type of S. latifascia (C), and lectotypeof Prodenia variolosa Walker, a junior synonym of S. latifascia (D), under dorsal view. Dorsal and ventral views of a specimen of S. evanida (E). Scale bar: 10 mm.
Figure 1 in Spodoptera cosmioides (Lepidoptera: Noctuidae) in Brazil: spatial distribution and relationship in the S. latifascia species group
Figure 1 Geographical distribution of Spodoptera cosmioides and S. latifascia from the literature (Pogue, 2002; Dumas et al., 2015), field collection, and museum records obtained in the present study.
Figure 9 Evolutionary relationships within the S in Spodoptera cosmioides (Lepidoptera: Noctuidae) in Brazil: spatial distribution and relationship in the S. latifascia species group
Figure 9 Evolutionary relationships within the S. latifascia group based on sequences of the Cytochrome oxidase subunit I gene (COI). Median-joining network among COI haplotypes (A). Haplotype frequency is indicated by the circle size (given in the inlet). Distribution of the five haplotypes identified in cosmioides+ descoinsi clade indicated by circles of fixed size, colored, according to the proportion of occurrence for each site (B).
Figure 5 in Spodoptera cosmioides (Lepidoptera: Noctuidae) in Brazil: spatial distribution and relationship in the S. latifascia species group
Figure 5 Variation in dorsal wing color pattern in Spodoptera cosmioides. A-B Rio Branco: A #m, B #f (left forewing); C-D Planaltina: C #m, D #f (left forewing); E-F Chapadão do Sul: E #m, F #f (left forewing); G-H Alegre:G #m, H #f (left forewing); I-J Londrina: I #m, J #f (left forewing); K-L Passo Fundo: K #m, L #f (left forewing). Scale bars: 5 mm, respectively.
Figure 2 in Spodoptera cosmioides (Lepidoptera: Noctuidae) in Brazil: spatial distribution and relationship in the S. latifascia species group
Figure 2 Geographical distribution of Spodoptera evanida and S. descoinsi from the literature (Pogue, 2002; Dumas et al., 2015; GBIF Secretariat, 2023).
Figure 1 in New species and new records of Aphelinus Dalman (Hymenoptera: Chalcidoidea: Aphelinidae) from Lagodekhi Reserve (Sakartvelo - Georgia), with diversity and distribution along an elevational gradient
Figure 1. Aphelinus lagodekhiensis sp. nov.: a, ♀ head and antenna; b, ♀ body; c, ♀ thorax; d, ♀ forewing.
Figure 4 in New species and new records of Aphelinus Dalman (Hymenoptera: Chalcidoidea: Aphelinidae) from Lagodekhi Reserve (Sakartvelo - Georgia), with diversity and distribution along an elevational gradient
Figure 4. Species abundance (black circles) and richness of Aphelinus along a temporal scale. Trend lines represent secondorder OLS regressions (abundance R2 = 0.83, P <0.01; richness R2 = 0.61, P <0.01).
Figure 4 in Spatial distribution of the epigeic species of earthworms Dendrobaena octaedra and D. attemsi (Oligochaeta: Lumbricidae) in the forest belt of the northwestern Caucasus
Figure 4. Correlation of the sampling frequency of earthworms D. octaedra and D. attemsi in the main forest types, depending on humidity (n: amount of samples). 1: pine forests, 2: dark coniferous forests, 3: coniferous-deciduous forests, 4: beech forests. and 5: deciduous forests. sss
Figure 2 in Spatial distribution of the epigeic species of earthworms Dendrobaena octaedra and D. attemsi (Oligochaeta: Lumbricidae) in the forest belt of the northwestern Caucasus
Figure 2. Occurrence of earthworms in the samples (plant litter + deadwood) in the main forest types of northwestern Caucasus (n; coniferous-deciduous forests: 824, dark coniferous forests: 492, beech forests: 980, deciduous forests: 2275, and pine forests: 220).
Figure 4 in Spatiotemporal and bioecological distribution of four commercial Mullid species in an ultraoligotrophic Mediterranean gulf
Figure 4. Nonparametric Multidimensional Scaling, nMDS (a) and cluster analyses (b) of log - 10 transformed biomasses and abundances, respectively of the mullid species caught at the sampling stations classified with the seafloor depth, and with the region number (R) and season (Se).
Figure 2 in Spatiotemporal and bioecological distribution of four commercial Mullid species in an ultraoligotrophic Mediterranean gulf
Figure 2. Spatiotemporal abundance (ind/km2) distribution (circles log transformed) of mullid species; M. barbatus (a), M. surmuletus 10 (b), U. moluccensis (c), and U. pori (d). Seasonal colors on the figures are: blue for spring 2014, green for summer 2014, red for autumn 2014, and magenta for winter 2015 (lines denote trawling track line).
Fig. 6 in Distribution Records and Re-descriptions of Some Japanese Species of the Subfamily Phygadeuontinae (Hymenoptera, Ichneumonidae)
Fig. 6. Theroscopus maruyamanus (Uchida, 1930), females (A–C, E: KPM-NK 81838; D: lectotype deposited in SEHU) ― A: dorsal habitus; B: lateral habitus; C: head, frontal view; D: head and antenna, lateral view; E: scutellum and propodeum, dorsal view.
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.