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.
30,817
datasets available to search
ShareScore release 0.9.0
Dataset results
30,817 results for “type”
Figure 1 in First record of Oligosarcus itau (Characiformes: Characidae) outside the type locality, and second after the description
Figure 1. Known geographical distribution of Oligosarcus itau, Río Bermejo basin in Salta, and Jujuy province, northwestern Argentina. Red circle is the type locality, yellow circles are new records herein reported.
Fig. 1 in Change Of Morphometric And Allometric Patterns On Wings Of Banded Demoiselle (Calopteryx Splendens) Males In Case Of Ecologically Different Watercourse Types
Fig. 1. The typical appearance of watercourse types in Northeast Hungary (A = creek, B = brook, C = stream, D = little river, E = medial river). (Photo: Miskolczi, M.)
Fig. 5 in Change Of Morphometric And Allometric Patterns On Wings Of Banded Demoiselle (Calopteryx Splendens) Males In Case Of Ecologically Different Watercourse Types
Fig. 5. PCA with watercourse type, for fore and hind wing (1. component = 77.66%; 2. component = 11.70%) (filled symbols: fore wing, empty symbols: hind wing). Symbols:
Fig. 2 in Change Of Morphometric And Allometric Patterns On Wings Of Banded Demoiselle (Calopteryx Splendens) Males In Case Of Ecologically Different Watercourse Types
Fig. 2. Measuring points on the right fore wing of Calopteryx splendens males (A = landmarks related to size and shape measurements, B = landmarks related to measurements on
Fig 4 in Using mating-type loci to improve taxonomy of the Tuber indicum complex, and discovery of a new species, T. longispinosum
Fig 4. Phylogenetic relationships among Asian black truffles based on MAT1-1-1 and MAT1-2-1 sequences. The phylogram was obtained by maximum likelihood inference under the TN93 model. SH-aLRT values and Bayesian posterior probabilities are shown as ML/BPP. https://doi.org/10.1371/journal.pone.0193745.g004
Fig 3 in Using mating-type loci to improve taxonomy of the Tuber indicum complex, and discovery of a new species, T. longispinosum
Fig 3. Relative frequencies of asci with one to six ascospores per ascus for the studied taxa. https://doi.org/10.1371/journal.pone.0193745.g003
Fig 2 in Using mating-type loci to improve taxonomy of the Tuber indicum complex, and discovery of a new species, T. longispinosum
Fig 2. Ascospore spine height of four-spored asci (A) and width of spine bases (B), for the studied taxa. Different letters above boxes indicate significant differences between mean according to Tukey–Kramer honestly significant difference test (P <0.01). https://doi.org/10.1371/journal.pone.0193745.g002
Fig 6 in Using mating-type loci to improve taxonomy of the Tuber indicum complex, and discovery of a new species, T. longispinosum
Fig 6. Tuber longispinosum photographs (holotype, TFM: S17009). A. Dried ascomata (bar = 1 cm). B. Fruit bodies photographed in the field. C. Peridial warts, (bar = 3 mm). D. Asci and ascospores (bar = 30 μm). E. Ascospore (bar = 10 μm). F. Peridium in cross section (bar = 50 μm). https://doi.org/10.1371/journal.pone.0193745.g006
Fig 1 in Using mating-type loci to improve taxonomy of the Tuber indicum complex, and discovery of a new species, T. longispinosum
Fig 1. SEM images of ascospores for Asian black truffles, showing the details of ornamentation. A–C: Tuber longispinosum (A: K70, B: K209, C: K466), D–F: Tuber sp. 6 (D: K152, E: S4, F: S23), G–I: T. formosanum (G: HKAS48268 paratype, H: HKAS62628 holotype, I: HKAS79547), J–L: T. himalayense (J: HP1-3, K: MY5-1, L: SHD1-1- 1), M–O: T. indicum (M: YSH1-8, N: YR1-4, O: HD6-16). Bars = 10 μm. https://doi.org/10.1371/journal.pone.0193745.g001
Fig 7 in Using mating-type loci to improve taxonomy of the Tuber indicum complex, and discovery of a new species, T. longispinosum
Fig 7. Tuber himalayense photographs (TFM: S17015). A. Ascomata (bar = 1 cm). B. Peridial warts, (bar = 3 mm). C. Asci and ascospores (bar = 30 μm). D. Peridium and glebal tissue in cross section (bar = 50 μm). E. Ascospore (bar = 10 μm). https://doi.org/10.1371/journal.pone.0193745.g007
Fig. 8 in Centrohelid Heliozoans (Centroplasthelida Febvre-Chevalier et Febvre, 1984) from Different Types of Freshwater Bodies in the Middle Russian Forest-steppe
Fig. 8. Dendrogram showing the Bray-Curtis similarity (%) of studied microbiotopes by species diversity of centrohelids. Abbreviations: p.d.s – plant debris and silt; pt – peat from mire's lakes; sn – sand; sph – Sphagnum from hollows; wt – water column.
Fig. 1 in Centrohelid Heliozoans (Centroplasthelida Febvre-Chevalier et Febvre, 1984) from Different Types of Freshwater Bodies in the Middle Russian Forest-steppe
Fig. 1. Morphology of living cells of some observed centrohelid species (DIC): A – Acanthocystis nichollsi; B – A. pectinata (from plant debris and silt of Usman' River); C – A. turfacea (from plant debris and silt of Lake Chistoye); D – Raphidocystis symmetrica (from plant debris and silt of Lake Chistoye); E – Choanocystis aculeata (from sand of Lake Maklok); F – Raphidiophrys capitata (from sand of Lake Maklok). Abbreviations: ax – axopodia; pr – protoplast; sc – scales. Scale bar: 20 µm.
Fig. 7 in Centrohelid Heliozoans (Centroplasthelida Febvre-Chevalier et Febvre, 1984) from Different Types of Freshwater Bodies in the Middle Russian Forest-steppe
Fig. 7. Morphology of observed scales of unidentified species (TEM): A–C – Heterophrys-like organism (A – from plant debris and silt of Usman' River; B, C – from plant debris and silt of Lake Krugloye; A – whole cell; B, C – spicules), D–F – unidentified Centrohelea sp. (from water column of Lake Vosmerka; D – scales of the single cell; E, F – plate scales). Abbreviations: sp – spicules. Other abbreviation as in Fig. 1. Scale bars: A, D – 10 µm; B, C, E, F – 1 µm.
Fig. 5. A in Ciliate Community Structure in Vegetation in Eastern Mexico Bromeliads of Different Types of
Fig. 5. A. Trait loadings of retained components in the PCA axes 1 and 2, (B) for each sampling carried out in the seven localities, and (C) for vegetation type and ciliate species richness according to the principal components of model A, of an ordination based on species richness, two continuous and two categorical functional traits of 24 ciliate species at Eastern Veracruz, Mexico. Model C shows prediction ellipses at 95% confidence interval to delimitate the vegetation types. Numbers in B refer to the localities. SDTF = Semideciduous tropical forest, C = Coffee plantation, MCF = Montane cloud forest, PF = Pinus forest.
Fig. 3 in Ciliate Community Structure in Vegetation in Eastern Mexico Bromeliads of Different Types of
Fig. 3. Dendogram of the Jaccard's similarities among localities based on the unweighted pair-group method analysis (UPGMA). For the name of the localities see table 1.
Fig. 2 in Ciliate Community Structure in Vegetation in Eastern Mexico Bromeliads of Different Types of
Fig. 2. Average of water temperature of the samples in relation to the localities were samples were collected. Bars indicate standard deviation.
Fig. 1. A in Ciliate Community Structure in Vegetation in Eastern Mexico Bromeliads of Different Types of
Fig. 1. A. Location of the seven localities of the study. B. Schematic representation of the vegetation from the mountain region to the seashore in east Veracruz, Mexico. L = locality, 1 = La Joya, Acajete; 2 = Santuario de Bosque de Niebla, Xalapa; 3 = Coffee plantation La Onza, Coatepec; 4 = Coffee plantation Arcos Vegas y Rincón de Yeguas, Tuzamapan; 5 = Tlacuitlapa, Jalcomulco; 6 = Unidad de Manejo Ambiental Nace El Río, Descabezadero, Actopan; 7 = Centro de Investigaciones Costeras La Mancha (CICOLMA), Actopan.
Fig. 6 in Centrohelid Heliozoans (Centroplasthelida Febvre-Chevalier et Febvre, 1984) from Different Types of Freshwater Bodies in the Middle Russian Forest-steppe
Fig. 6. Morphology of observed scales of Raineriophrys genera (A–C, E, F, I–L – TEM; D, G, H – SEM): A–D – R. echinata (A–C – from peat of Sphagnum bog Klukvennoye-2; D – from Sphagnum of Sphagnum bog Klukvennoye-3), E–H – R. erinaceoides (E, F – from water column of Lake Vosmerka; G, H – from plant debris and silt of Lake Cherepashye), I–L – R. fortesca (I – Vosmerka, J–L – Cherepashye). E, I – scales of the single cell; A–D, F–H, J–L – spine and plate scales. Abbreviations as in Fig. 2, 5. Scale bars: A, E, I – 10 µm; B–D, F – 5 µm; G, H, J–L – 1 µm.
Fig. 9 in Centrohelid Heliozoans (Centroplasthelida Febvre-Chevalier et Febvre, 1984) from Different Types of Freshwater Bodies in the Middle Russian Forest-steppe
Fig. 9. Dendrogram showing the Bray-Curtis similarity (%) of studied water bodies by species diversity of centrohelids.
Fig. 2 in Resource use by the facultative lepidophage Roeboides affinis (Günther, 1868): a comparison of size classes, seasons and environment types related to impoundment
Fig. 2. Medians of percentage volume of scales consumed by Roeboides affinis in the upper Tocantins river, from 1995 to 2000, in: (a) different environmental types (Lotic, n = 38, vs. Lentic, n = 52); (b) seasons (Dry, n = 25, vs. Wet, n = 68); (c) size classes 1 (n = 12), 2 (n = 38), 3 (n = 26), 4 (n = 9) and 5 (n = 5) and (d) different post-impoundment phases (Filling, n = 9, vs. Operation, n = 2) in lentic sites.
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.