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.
4,245
datasets available to search
ShareScore release 0.9.0
Dataset results
4,245 results for “diagnostics”
Fig. 4 in Diagnostic Criteria For Identification Of Microtus S. L. Species (Rodentia, Arvicolidae) Of The Ukrainian Carpathians
Fig. 4. Diagnostic characters of the region of frontal bones of Microtus s. str. species, photo (a) and scheme (b).
Files for publication "Microseek: A Protein-Based Metagenomic Pipeline for Virus Diagnostic and Discovery"
<p><strong>Context</strong></p> <p>These files correspond to the article “Microseek: A Protein-Based Metagenomic Pipeline for Virus Diagnostic and Discovery” submitted to Genes.</p> <p> </p> <p><strong>File content</strong></p> <ul> <li>input_data-empty_matrices: 50M-read Tissues and Plasma matrices, no spike;</li> <li>input_data-matrices_spiked_known_viruses: 50M-read Tissues and Plasma matrices spiked with six known virus at d1, d10, d100;</li> <li>input_data-matrices_spiked_neo_viruses: 50M-read Tissues and Plasma matrices spiked with 3 Neopneumoviruses at d1 and d10;</li> <li>input_data-neo_viruses: Nucleotide and protein sequences of 3 Neopeumoviruses</li> <li>input_data-tick_sample: raw data of a Rhipicephalus tick sample known to be infected with the Cataloi Tick Quaranjavirus (CTQV)</li> <li>input_data-negative_control: raw data of the negative control (water)</li> <li>output_microseek: Microseek outputs, raw results and results after background filtration</li> </ul> <p> </p> <p><strong>File listing </strong></p> <pre><code class="language-bash">input_data-empty_matrices.tar.xz ├── plasma.fastq └── tissue.fastq input_data-matrices_spiked_known_viruses ├── d1 │ ├── spiked_plasma.fastq │ └── spiked_tissue.fastq ├── d10 │ ├── spiked_plasma.fastq │ └── spiked_tissue.fastq └── d100 ├── spiked_plasma.fastq └── spiked_tissue.fastq input_data-matrices_spiked_neo_viruses.tar.xz ├── d1 │ ├── plasma_spiked_with_neo1.fastq │ ├── plasma_spiked_with_neo2.fastq │ ├── plasma_spiked_with_neo3.fastq │ ├── tissue_spiked_with_neo1.fastq │ ├── tissue_spiked_with_neo2.fastq │ └── tissue_spiked_with_neo3.fastq └── d10 ├── plasma_spiked_with_neo1.fastq ├── plasma_spiked_with_neo2.fastq ├── plasma_spiked_with_neo3.fastq ├── tissue_spiked_with_neo1.fastq ├── tissue_spiked_with_neo2.fastq └── tissue_spiked_with_neo3.fastq input_data-neo_viruses.tar.xz ├── genes │ ├── neo_1.fasta │ ├── neo_2.fasta │ └── neo_3.fasta └── proteins ├── neo_1.fasta ├── neo_2.fasta └── neo_3.fasta input_data-tick_sample.tar.xz └── Cataloi_S1_R1_001.fastq.xz input_data-negative_control.tar.xz └── negative_control.fastq.xz output_microseek.tar.xz ├── empty_matrices │ ├── matrix_plasma │ └── matrix_tissue ├── matrices_spiked_known_viruses │ ├── filtered │ │ ├── d100_plasma │ │ ├── d100_tissue │ │ ├── d10_plasma │ │ ├── d10_tissue │ │ ├── d1_plasma │ │ └── d1_tissue │ └── non_filtered │ ├── d100_plasma │ ├── d100_tissue │ ├── d10_plasma │ ├── d10_tissue │ ├── d1_plasma │ └── d1_tissue ├── matrices_spiked_neo_viruses │ ├── filtered │ │ ├── plasma_spiked_with_neo1_at_d1 │ │ ├── plasma_spiked_with_neo1_at_d10 │ │ ├── plasma_spiked_with_neo2_at_d1 │ │ ├── plasma_spiked_with_neo2_at_d10 │ │ ├── plasma_spiked_with_neo3_at_d1 │ │ ├── plasma_spiked_with_neo3_at_d10 │ │ ├── tissue_spiked_with_neo1_at_d1 │ │ ├── tissue_spiked_with_neo1_at_d10 │ │ ├── tissue_spiked_with_neo2_at_d1 │ │ ├── tissue_spiked_with_neo2_at_d10 │ │ ├── tissue_spiked_with_neo3_at_d1 │ │ └── tissue_spiked_with_neo3_at_d10 │ └── non_filtered │ ├── plasma_spiked_with_neo1_at_d1 │ ├── plasma_spiked_with_neo1_at_d10 │ ├── plasma_spiked_with_neo2_at_d1 │ ├── plasma_spiked_with_neo2_at_d10 │ ├── plasma_spiked_with_neo3_at_d1 │ ├── plasma_spiked_with_neo3_at_d10 │ ├── tissue_spiked_with_neo1_at_d1 │ ├── tissue_spiked_with_neo1_at_d10 │ ├── tissue_spiked_with_neo2_at_d1 │ ├── tissue_spiked_with_neo2_at_d10 │ ├── tissue_spiked_with_neo3_at_d1 │ └── tissue_spiked_with_neo3_at_d10 ├── negative_control └── tick_sample </code></pre> <p> </p>
Transforming the UK's diagnostics agenda after COVID-19 and grand challenges – Future Blood Testing Landscape report - Prof Dimitris Grammatopoulos (University Hospitals Coventry & Warwickshire, University of Warwick)
<p>This video is the second talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 13/09/2022.</p> <p>Transforming the UK’s diagnostics agenda after COVID-19 and grand challenges – Future Blood Testing Landscape report - Prof Dimitris Grammatopoulos (University Hospitals Coventry & Warwickshire, University of Warwick)</p> <p>Bio: Dimitris Grammatopoulos, PhD, FRCPath, is Professor of Molecular Medicine at Warwick Medical School and Consultant in Clinical Biochemistry and Molecular Diagnostics at the University Hospitals of Coventry and Warwickshire, NHS Trust, United Kingdom. He also leads the Novel Biomarkers theme of the Institute of Precision Diagnostics and Translational Medicine, Pathology-UHCW NHS Trust. where he combines clinical expertise in diagnostic laboratory medicine with a research track-record in application of cutting edge multidiscipline methodologies in routine clinical diagnostics. He received academic and clinical training in Newcastle, Bristol, Johns Hopkins-Baltimore and Warwick. He has expertise in biochemical/molecular diagnosis of many endocrine and metabolic disorders. His translational research interest is focused on stress hormones and homeostatic adaptations of fetal development to maternal disease as well as development of novel -omics based biomarker approaches suitable for precision medicine and better characterisation of patient phenotype. He has experience around use of AI and ML for development and refinement of clinical and diagnostic pathways for complex chronic conditions that are considered as national priorities. Dimitris is the Lead in Diagnostics, Global Health Priorities in Health, University of Warwick.</p> <p>Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/</p> <p>This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1</p> <p>YouTube Link: https://youtu.be/HiOlRzJPR7Q</p>
Fig. 4 in First Specimen-based Records of Redfin Emperor Monotaxis heterodon (Perciformes: Lethrinidae) from Japan, with New Diagnostic Characters Applicable to Identification of Preserved Specimens
Fig. 4. Eyes (A, B), occipital region (C, D), and inner surface of pectoral-fin base (E, F) of M. heterodon (A, C, E) and M. grandoculis (B, D, F), showing differences between the two species. A, KAUM–I. 88394, 215.0 mm SL, fresh condition; B, D, F, KAUM–I. 46014, 185.5 mm SL, fresh (B) and preserved (D, F) conditions; C, E, URM-P 34768, 189.1 mm SL, preserved condition.
Fig. 3 in First Specimen-based Records of Redfin Emperor Monotaxis heterodon (Perciformes: Lethrinidae) from Japan, with New Diagnostic Characters Applicable to Identification of Preserved Specimens
Fig. 3. Relationships of (A) snout length (excluding lips) (% of SL) and (B) spinous anal-fin base length (% of SL) to SL (mm) in M. heterodon (red circles) and M. grandoculis (blue triangles).
Fig. 2 in First Specimen-based Records of Redfin Emperor Monotaxis heterodon (Perciformes: Lethrinidae) from Japan, with New Diagnostic Characters Applicable to Identification of Preserved Specimens
Fig. 2. Fresh (A) and preserved (B) specimen of Monotaxis grandoculis (KAUM–I. 46014, 185.5 mm SL) from Yoron-jima island, Amami Islands, Japan.
Fig. 1 in First Specimen-based Records of Redfin Emperor Monotaxis heterodon (Perciformes: Lethrinidae) from Japan, with New Diagnostic Characters Applicable to Identification of Preserved Specimens
Fig. 1. Fresh (A) and preserved (B) specimen of Monotaxis heterodon (KAUM–I. 88394, 215.0 mm SL) from Ryukyu Islands, Japan.
Fig. 1 in Identification of the Commercially Important Oreosomatid Fish (Zeiformes: Teleostei) of the Emperor Seamounts, with Comments on Diagnostic Characters of the Species
Fig. 1. Lateral view of oreosomatids. A, Allocyttus folletti from the Emperor Seamounts, SNFR 22402, 289.8 mm SL; B, Allocyttus verrucosus from New Zealand, NSMT-P 41168, 187.2 mm SL; caudal peduncle of A. folletti; C, SNFR 10560, 293.4 mm SL, Emperor Seamounts, and that of A. verrucosus; D, NSMT-P 41168, 187.2 mm SL, New Zealand; nasal of oreosomatids; E, A. folletti, SNFR 10561, 347 mm SL, Emperor Seamounts; F, A. verrucosus, NSMT-P 113107, 238.4 mm SL, west coast of Australia. Abbreviations: NA, nasal; PN, posterior nostril.
Fig. 3 in Identification of the Commercially Important Oreosomatid Fish (Zeiformes: Teleostei) of the Emperor Seamounts, with Comments on Diagnostic Characters of the Species
Fig. 3. Lateral aspect (above) and abdomen (below) of Allocyttus folletti. A, SNFR 10560, 293.4 mm SL, Emperor Seamounts; B, CAS-SU 15377, holotype of Allocyttus folletti, off California, traced from Myers (1960: fig. 1). Arrows indicate the rows of scutes.
Fig. 2 in Identification of the Commercially Important Oreosomatid Fish (Zeiformes: Teleostei) of the Emperor Seamounts, with Comments on Diagnostic Characters of the Species
Fig. 2. Scales on mid-side of body in, (A) Allocyttus folletti, FAKU 72575, 397 mm SL, Emperor Seamounts, and (B) Allocyttus verrucosus, NSMT-P 113107, 238.4 mm SL, Australia; enlarged scales of dorsal-fin base (S-DFB) in (C) A. folletti, SNFR 22403, 289.3 mm SL, Emperor Seamounts, and (D) A. verrucosus, BSKU 48476, 136.5 mm SL, off South Africa.
Fig. 5 in Distributional Range Extension of the Pale Ornate Jobfish Pristipomoides amoenus (Teleostei: Perciformes: Lutjanidae) in the Western Pacific Ocean, with Notes on Newly Recognized Diagnostic Coloration
Fig. 5. Live individuals of Pristipomoides argyrogrammicus collected from Motobu, Okinawa-jima island, Japan, and reared at Okinawa Churaumi Aquarium (photos by A. Kaneko). A, B, 200 m depth, 26 September 2019; C, 105 mm TL, juvenile, 150 m depth, 1 March 2020.
Fig. 4 in Distributional Range Extension of the Pale Ornate Jobfish Pristipomoides amoenus (Teleostei: Perciformes: Lutjanidae) in the Western Pacific Ocean, with Notes on Newly Recognized Diagnostic Coloration
Fig. 4. Distributional records of Pristipomoides amoenus. Stars and circles represent localities of specimens examined in the present and previous studies, respectively. Open symbol indicates type locality.
Fig. 3 in Distributional Range Extension of the Pale Ornate Jobfish Pristipomoides amoenus (Teleostei: Perciformes: Lutjanidae) in the Western Pacific Ocean, with Notes on Newly Recognized Diagnostic Coloration
Fig. 3. Live individual of Pristipomoides amoenus collected from Tsuken-jima island, Okinawa Islands, Japan, 300 m depth, 14 December 2019, and reared at Okinawa Churaumi Aquarium (photos by A. Kaneko). A, Lateral view; B, dorsal view.
Fig. 2 in Distributional Range Extension of the Pale Ornate Jobfish Pristipomoides amoenus (Teleostei: Perciformes: Lutjanidae) in the Western Pacific Ocean, with Notes on Newly Recognized Diagnostic Coloration
Fig. 2. Preserved specimens of (A–D) Pristipomoides amoenus and (E–H) P. argyrogrammicus. A, KAUM–I. 156091, 177.3 mm SL, Amamioshima island, Kagoshima, Japan; B, D, KAUM–I. 113361, 184.7 mm SL, Dong-gang, Pingtung, Taiwan; C, KAUM–I. 156091, 221.2 mm SL, Amami-oshima island, Kagoshima, Japan; E, KAUM–I. 139296, 141.7 mm SL, Amami-oshima island, Kagoshima, Japan; F, H, KAUM–I. 108166, 210.9 mm SL, Amami-oshima island, Kagoshima, Japan; G, KAUM–I. 51137, 277.6 mm SL, Tokara Islands, Kagoshima, Japan; D, H: dorsal view.
Fig. 1 in Distributional Range Extension of the Pale Ornate Jobfish Pristipomoides amoenus (Teleostei: Perciformes: Lutjanidae) in the Western Pacific Ocean, with Notes on Newly Recognized Diagnostic Coloration
Fig. 1. Fresh specimens of (A–C) Pristipomoides amoenus and (D–F) P. argyrogrammicus. A, KAUM–I. 156091, 177.3 mm SL, Amami-oshima island, Kagoshima, Japan; B, KAUM–I. 113361, 184.7 mm SL, Dong-gang, Pingtung, Taiwan; C, KAUM–I. 156091, 221.2 mm SL, Amami-oshima island, Kagoshima, Japan; D, KAUM–I. 139296, 141.7 mm SL, Amami-oshima island, Kagoshima, Japan; E, KAUM–I. 108166, 210.9 mm SL, Amami-oshima island, Kagoshima, Japan; F, KAUM–I. 51137, 277.6 mm SL, Tokara Islands, Kagoshima, Japan.
Fig. 85 in The pea crab genus Arcotheres Manning, 1993 (Crustacea: Brachyura: Pinnotheridae) from Singapore and Peninsular Malaysia, with a reappraisal of diagnostic characters and descriptions of two new genera
Fig. 85. Magnotheres globosus (Hombron & Jacquinot, 1846), male (5.4 × 5.5 mm) (ZRC 2018.783), Philippines. A, overall dorsal view; B, frontal view of cephalothorax; C, ventral view of sternum and pleon; D, outer view of right chela.
Fig. 84 in The pea crab genus Arcotheres Manning, 1993 (Crustacea: Brachyura: Pinnotheridae) from Singapore and Peninsular Malaysia, with a reappraisal of diagnostic characters and descriptions of two new genera
Fig. 84. Magnotheres globosus (Hombron & Jacquinot, 1846). A, ovigerous female (carapace width 11.9 mm, carapace broken) (ZRC 2017.1017), Panglao, Philippines; B, ovigerous female (13.6 × 10.5 mm) (ZRC 2017.1019), Changi, Singapore; C, ovigerous female (11.8 × 9.5 mm) (ZRC 2017.1017), Panglao, Philippines; D, ovigerous female (11.0 × 8.9 mm) (ZRC 2017.1017), Panglao, Philippines; E, ovigerous female (16.6 × 12.3 mm) (ZRC 2016.185), Kerala, India; F, G, ovigerous female (14.7 × 11.2 mm) (ZRC 2016.184), Kerala, India. A, frontal margin of carapace; B, C, E–G, left MXP3 (setae denuded); D, right MXP3 (setae denuded). F, G, drawn at different angles. Scales = A, 1.0 mm; B–G, 0.5 mm.
Fig. 81 in The pea crab genus Arcotheres Manning, 1993 (Crustacea: Brachyura: Pinnotheridae) from Singapore and Peninsular Malaysia, with a reappraisal of diagnostic characters and descriptions of two new genera
Fig. 81. Magnotheres globosus (Hombron & Jacquinot, 1846). A, ovigerous female (12.1 × 9.4 mm) (ZRC 2016.166), Vanuatu; B, E, F, ovigerous female (13.5 × 10.7 mm) (ZRC 2016.165), Vanuatu; C, ovigerous female (11.9 × 9.3 mm) (ZRC 2017.1019), Changi, Singapore; D, ovigerous female (13.6 × 10.5 mm) (ZRC 2017.1019), Changi, Singapore. A–D, overall dorsal view; E, frontal view of cephalothorax; F, left P2–P5.
Fig. 78 in The pea crab genus Arcotheres Manning, 1993 (Crustacea: Brachyura: Pinnotheridae) from Singapore and Peninsular Malaysia, with a reappraisal of diagnostic characters and descriptions of two new genera
Fig. 78. Magnotheres globosus (Hombron & Jacquinot, 1846), type female (20.0 × 18.0 mm). A, overall dorsal view; B, D, left MXP3; C, outer view of right chela. A–C, after Hombron & Jacquinot (1846: pl. 5 figs. 21–23); D, after Milne Edwards (1853: pl. 11 fig. 6).
Fig. 74 in The pea crab genus Arcotheres Manning, 1993 (Crustacea: Brachyura: Pinnotheridae) from Singapore and Peninsular Malaysia, with a reappraisal of diagnostic characters and descriptions of two new genera
Fig. 74. Magnotheres globosus (Hombron & Jacquinot, 1846), colour in life. A, non-ovigerous female (14.4 × 10.8 mm) (ZRC 2017.1018), Changi, Singapore; B–D, ovigerous female (13.2 × 9.9 mm) (ZRC 2017.1018), Changi, Singapore. A, B, overall dorsal view; C, D, frontal view of cephalothorax. Photographs: Tan Heok Hui.
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.