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.
6,704
datasets available to search
ShareScore release 0.9.0
Dataset results
6,704 results for “reports”
Fig. 1 in First report of Heilus freyreissi (Coleoptera: Curculionidae) attacking avocado and associated with Colletotricum sp. in Brazil
Fig. 1. Adult Heilus freyreissi isolated (A, B) and aggregated under the bark of the trunk of an avocado (C). The white ellipse indicates the location of the aggregation of adult beetles.
Fig. 2 in First report of Phyllocoptes fructiphilus Keifer (Eriophyidae), the vector of the rose rosette virus, in Florida, USA
Fig. 2. Presence of Phyllocoptes fructiphilus in Leon County, Florida, USA, in (A) Feb 2019 and (B) Jul 2019. Orange dots indicate sites sampled that had P. fructiphilus. Gray dots indicate surveyed areas where no P. fructiphilus were found. (C) Average number of P. fructiphilus per rose sample. Samples were taken from sites in Leon County, Florida, on 14 Feb and 16 Jul 2019. Asterisks represent significant differences as calculated by pairwise t-tests of the 5 sites tested for P. fructiphilus during both mo. P-value <0.001.
Fig. 1 in First report of Chrysodeixis includens nucleopolyhedrovirus (ChinNPV) infecting Chrysodeixis includens (Lepidoptera: Noctuidae) in Argentina
Fig. 1. Chrisodeixis includens nucleopolyhedrovirus, Tucumán isolate (ChinNPV-Tuc). A-C: scanning electron micrographs of occlusion bodies at different magnifications. D: Maximum-likelihood phylogeny of concatenated polyhedrin,lef-8 and lef-9 ChinNPV partial sequences. ChinNPV-Tuc is highlighted by an asterisk (*). Bootstrap support (1,000 repetitions) is indicated at the nodes. GenBank accessions, isolate name, and geographic origin are given. Scale bar represents substitutions per site.
Fig. 2 in First report of Heilus freyreissi (Coleoptera: Curculionidae) attacking avocado and associated with Colletotricum sp. in Brazil
Fig. 2. Injury caused by adults of Heilus freyreissi on branches (A, B), avocado central leaf vein (C), inflorescence (D), peduncle (E), and fruit (F).
Fig. 1 in First report of Phyllocoptes fructiphilus Keifer (Eriophyidae), the vector of the rose rosette virus, in Florida, USA
Fig. 1. (A) Symptoms of rose rosette disease: witches' broom, and (B) excessive thorn proliferation; (C) Phyllocoptes fructiphilus Keifer (female) from Leon County, Florida, USA: body (scale bar = 100 µm); (D) enlargement of P. fructiphilus prodorsal shield to show detail (scale bar = 20 µm).
Figure 9 in Meloidogyne paramali n. sp. (Nematoda: Meloidogyninae) and First Report of M. marylandi in maple and yacca tree from Japan
Figure 9: Phylogenetic relationships of the Melodidogyne paramali n. sp. within the genus Meloidogyne as inferred from Bayesian analysis of the intergenic region between CO II and 16S rDNA sequences using the GTR + G model (ln L = −9,869.8599; freqA = 0.3676; freqC = 0.0265; freqG = 0.0939; freqT = 0.5121; R(a) = 3.2156; R(b) = 5.9094; R(c) = 1.5251; R(d) = 2.6383; R(e) = 13.9890; R(f) = 1.0000; Shape = 0.6340). Posterior probabilities are given in clades node. Newly obtained sequences are indicated in bold and the sequence codes are given in specimen-clone.
Figure 6 in Meloidogyne paramali n. sp. (Nematoda: Meloidogyninae) and First Report of M. marylandi in maple and yacca tree from Japan
Figure 6: Phylogenetic relationships of the Melodidogyne paramali n. sp. within the genus Meloidogyne as inferred from Bayesian analysis of the 18S rDNA sequences using the SYM + I + G model (ln L = −9,656.5775; freqA = 0.2500; freqC = 0.2500; freqG = 0.2500; freqT = 0.2500; R(a) = 1.1490; R(b) = 2.9493; R(c) = 1.9703; R(d) = 0.5777; R(e) = 4.7703; R(f) = 1.0000; Pinva = 0.4140; Shape = 0.4400). Posterior probabilities are given in clades node. Newly obtained sequences are indicated in bold and the sequence codes are given in specimen-clone.
Figure 4 in Meloidogyne paramali n. sp. (Nematoda: Meloidogyninae) and First Report of M. marylandi in maple and yacca tree from Japan
Figure 4: Light photomicrographs of host plant roots infected by Meloidogyne paramali n. sp. and female. A: Root-knot; B: Female.
Figure 5 in Meloidogyne paramali n. sp. (Nematoda: Meloidogyninae) and First Report of M. marylandi in maple and yacca tree from Japan
Figure 5: Light photomicrographs of Meloidogyne marylandi J2. A: Entire body; B, C: Anterior region; D: Lateral region; E–H: Tail region. (Scale bars = 10 μm).
Figure 3 in Meloidogyne paramali n. sp. (Nematoda: Meloidogyninae) and First Report of M. marylandi in maple and yacca tree from Japan
Figure 3: Light photomicrographs of Meloidogyne paramali n. sp. male and female. A: Male head region; B: Male lateral region; C: Male tail region; D–H: Female perineal patterns. (Scale bars = 10 μm).
Figure 2 in Meloidogyne paramali n. sp. (Nematoda: Meloidogyninae) and First Report of M. marylandi in maple and yacca tree from Japan
Figure 2: Light photomicrographs of Meloidogyne paramali n. sp. J2. A: Entire body; B: Anterior region; C: Post median bulb region; D: Lateral region; E–K: Tail region. (Scale bars = 10 μm).
Figure 1 in Meloidogyne paramali n. sp. (Nematoda: Meloidogyninae) and First Report of M. marylandi in maple and yacca tree from Japan
Figure 1: Meloidogyne paramali n. sp. A: J2; B: Anterior region of J2; C: Anterior region of male; D: Lateral region of male; E: Lateral region of J2; F: Male tail region; G: Variations of J2 tail; H, I: Female perineal patterns. (Scale bars = 10 μm).
Figure 2 in First report of Meloidogyne hapla on hemp (Cannabis sativa) in Oregon
Figure 2: Phylogenetic relationships between Meloidogyne species as inferred from the Bayesian analysis of the mitochondrial DNA CoxII-IGS under the GTR + I + G model. Posterior probabilities of over 50% are given for appropriate clades. Sequences generated in this study are identified in bold. Meloidoyne hapla sequences were retrieved from GenBank, aligned, and trimmed with BioEdit v.7.0.5.3. The best substitution model was determined using jModelTest 2.1.10 v20160303 and the Bayesian analysis was performed using MrBayes v3.2.6. Finally, the tree was visualized using FigTree v1.4.3.
Figure 1 in First report of Meloidogyne hapla on hemp (Cannabis sativa) in Oregon
Figure 1: Meloidogyne hapla, A) body length, B) stylet (S) and knobs (Kn), C) and D) tail. Scales: A: 100 μm, B: 20 μm, and C,D: 50 μm.
Figure 7 in Meloidogyne paramali n. sp. (Nematoda: Meloidogyninae) and First Report of M. marylandi in maple and yacca tree from Japan
Figure 7: Phylogenetic relationships of the Melodidogyne paramali n. sp. within the genus Meloidogyne as inferred from Bayesian analysis of the ITS region of rDNA sequences using the GTR+ G model (ln L = –15,611.9209; freqA = 0.2778; freqC = 0.1784; freqG = 0.2084; freqT = 0.3354; R(a) = 1.1160; R(b) = 2.3301; R(c) = 1.4759; R(d) = 0.7128; R(e) = 2.9133; R(f) = 1.0000; Shape = 0.5730). Posterior probabilities are given in clades node. Newly obtained sequences are indicated in bold and the sequence codes are given in specimen-clone.
Figure 8 in Meloidogyne paramali n. sp. (Nematoda: Meloidogyninae) and First Report of M. marylandi in maple and yacca tree from Japan
Figure 8: Phylogenetic relationships of the Melodidogyne paramali n. sp. within the genus Meloidogyne as inferred from Bayesian analysis of the D2–D3 region of the 28S rDNA sequences using the TVM + I + G model (ln L = –9,976.1624; freqA = 0.2157; freqC = 0.1943; freqG = 0.2737; freqT = 0.3163; R(a) = 1.1061; R(b) = 3.8613; R(c) = 1.8155; R(d) = 0.4745; R(e) = 3.8613; R(f) = 1.0000; Pinva = 0.2180; Shape = 0.7340). Posterior probabilities are given in clades node. Newly obtained sequences are indicated in bold and the sequence codes are given in specimen-clone.
Figure 2 in First report of morphological and molecular characterization of Moroccan populations of Globodera pallida
Figure 2: Photomicrographs of morphological characterization of cyst, egg, and second-stage juvenile. A, B: Cyst of GlOBOdeRa pallida, C: Vulva (v), anus (a), and cuticular ridges (r) of cyst, D, E: Stylet knob shape of J2, F: Juvenile tail.
Figure 3 in First report of morphological and molecular characterization of Moroccan populations of Globodera pallida
Figure 3: Amplified PCR products from GlOBOdeRa Spp. digested by three enzymes AluI, MboI, and RsaI. A: Amplified PCR products, B: AluI, C: RsaI, D: MboI, MW: molecular weight markers (1 kb), NC: negative control, PC: undigested DNA, S1-S2: Eastern region samples, S3-S4: Western region samples (Gharb), S5-S6: Doukkala region samples.
Figure 3 in First report of Meloidogyne enterolobii infecting Japanese blue berry tree (Elaeocarpus decipiens) in Florida, USA
Figure 3: PCR amplification products of DNA extracted from MeLOiDOGyne enterOLOBii (Yang and Eisenback, 1983) using mtDNA primer set MK7-F/MK7-R SCAR. Negative control=PCR reagents without DNA. Low range DNA ladder 2,000 bp.
Figure 1 in First report of Meloidogyne enterolobii infecting Japanese blue berry tree (Elaeocarpus decipiens) in Florida, USA
Figure 1: Roots of ELaeOCarpUS DeCipienS F.B.Forbes & Hemsl. showing galls induced by Meloidogyne enterolobii (Yang and Eisenback, 1983).
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.