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.
8,038
datasets available to search
ShareScore release 0.9.0
Dataset results
8,038 results for “validation.”
FIGURE 3 in Clarification of the identity of deep-sea crab Tymolus uncifer (Ortmann, 1892) and validation of Tymolus melanommus (Doflein, 1904) (Decapoda: Brachyura: Cyclodorippidae)
FIGURE 3. Tymolus melanommus (Doflein, 1904), lectotype, male (7.5×7.0 mm), ZSM 393/1. A, cephalothorax and pleon, dorsal view; B, detached left cheliped and pereopods 2 and 3.
FIGURE 4 in Clarification of the identity of deep-sea crab Tymolus uncifer (Ortmann, 1892) and validation of Tymolus melanommus (Doflein, 1904) (Decapoda: Brachyura: Cyclodorippidae)
FIGURE 4. Tymolus uncifer (Ortmann, 1892), habitus in dorsal view. A, male (9.8×9.8 mm), CBM-ZC 16951; B, ovigerous female (7.6×7.6 mm), CBM-ZC 16943. In preservative.
FIGURE 2 in Clarification of the identity of deep-sea crab Tymolus uncifer (Ortmann, 1892) and validation of Tymolus melanommus (Doflein, 1904) (Decapoda: Brachyura: Cyclodorippidae)
FIGURE 2. Tymolus uncifer (Ortmann, 1892), lectotype, male (5.0×5.0 mm), MZS Cru 3187. A, cephalothorax and pleon, dorsal view; B, same, ventral view.
FIGURE 1 in Clarification of the identity of deep-sea crab Tymolus uncifer (Ortmann, 1892) and validation of Tymolus melanommus (Doflein, 1904) (Decapoda: Brachyura: Cyclodorippidae)
FIGURE 1. Method of measurements of articles of the pereopods 2 and 3 used for species of Tymolus in this study. Abbreviations: CARL = carpus length; CARL+PL = carpus + propodus length; DL = dactylus length; ML = merus length; MW = merus width; PL = propodus length.
FIGURE 3 in Perenniporiopsis srijayewardenepurana sp. nov. and validation of Pyrrhoderma nigrum in Sri Lanka
FIGURE 3. Perenniporiopsis srijayewardenepurana (holotype, USJ-H-119). A. Basidiocarp upper surface. B. Pore surface. C. Context. Scale bars: C = 1 cm.
FIGURE 1 in Perenniporiopsis srijayewardenepurana sp. nov. and validation of Pyrrhoderma nigrum in Sri Lanka
FIGURE 1. The phylogram generated from the maximum likelihood analysis of combined ITS and LSU sequences from Perenniporiopsis and related taxa (Final likelihood value of -20718.599316). The tree is rooted with Stereum hirsutum (NBRC 6520) and Heterobasidion annosum (PFC 5252). The ex-type strains are indicated in bold, and the new species are indicated in red. Bootstrap support values ≥65% from the maximum likelihood (ML) and Bayesian posterior probabilities (PP) values ≥0.90 are given above the nodes.
FIGURE 5 in Perenniporiopsis srijayewardenepurana sp. nov. and validation of Pyrrhoderma nigrum in Sri Lanka
FIGURE 5. Pyrrhoderma nigrum (USJ-H-122). A, B. Basidiocarps C. The lower surface of mature basidiocarp D. Context. Scale bars: A–D = 1 cm.
FIGURE 2 in Perenniporiopsis srijayewardenepurana sp. nov. and validation of Pyrrhoderma nigrum in Sri Lanka
FIGURE 2. The phylogram generated from the maximum likelihood analysis of combined ITS and LSU sequences from Pyrrhoderma and related taxa (Final likelihood value of -8507.985969). The tree is rooted with Oxyporus populinus (Dai 8908). The new newly recorded species are indicated in red. Bootstrap support values ≥65% from the maximum likelihood (ML) and Bayesian posterior probabilities (PP) values ≥0.90 are given above the nodes.
FIGURE 4 in Perenniporiopsis srijayewardenepurana sp. nov. and validation of Pyrrhoderma nigrum in Sri Lanka
FIGURE 4. Microscopic structures of Perenniporiopsis srijayewardenepurana (drawn from the holotype). A. Hyphal system (generative hyphae, skeletal hyphae, and binding hyphae). B. Basidia and basidioles. C. Basidiospores with cotton blue. Scale Bars: A–C = 10 µm.
Bermuda Atlantic Time-Series Study (BATS) Pigment Data Validation
<p>This dataset is published on Zenodo by the Simons CMAP curators for long-term care. All credits go to the data producers at the Bermuda Atlantic Time-series Study (BATS): https://bats.bios.asu.edu/bats-data/ </p><p>The BATS (Bermuda Atlantic Time-series Study) discrete HPLC pigment validation dataset is time-series spanning from 1996 to 2022. The dataset contains the 21 separate in-situ pigment measurements along with sampling depth and the BATS Cruise ID.</p><p>This description has been reproduced using https://www.dropbox.com/s/6ajl545hyua8ot8/bval_pigments.txt?dl=0</p>
TROPESS NH3 validation
<p>TROPESS AIRS and CrIS NH3 retrievals and co-located validation data from the DISCOVER-AQ campaigns in Colorado and California and the USDA Magic Valley network.</p>
Validation results of the soft tissue-informed kinematic solver on an in-vitro cadaver arm motion sequence
<p>This movie accompanies the paper in which the soft tissue-informed kinematic solver was introduced and validated. The validation was performed using three distinct experiments. The final validation experiment comprised the elbow joint. Hereto, a cadaver was scanned in a CT. The arm was scanned in 11 distinct positions, encompassing extension with pronation and supination, flexion at roughly 45, 90, and 135 degrees with the hand in neutral, fully pronated, and fully supinated positions. Dedicated skin regions were used as input. In the movie, the skin is illustrated in grey and the ground truth bony positions are shown in blue. The predicted positions of the humerus, ulna and, radius are indicated in red. </p>
Assessing Functional Capacity in Directly and Remotely Monitored Home-based Settings: A Protocol for a Multinational Validation Study in Individuals With Chronic Respiratory Diseases
ClinicalTrials.gov study NCT06447831. IPD Sharing: UNDECIDED. Countries: 2. Publications: 1.
Cohort Study of Prospective Validation of Predictive Factors and Biological Imaging of Response to Bevacizumab and Paclitaxel in Patients With Metastatic Breast Cancer
ClinicalTrials.gov study NCT01745757. IPD Sharing: YES. Countries: 1. Publications: 3.
Construct Validity of a Large Loop Excision of the Transformation Zone (LLETZ) Training Model
ClinicalTrials.gov study NCT02476500. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Journey to Balance: Development and Validation of Individualized Life Balance Intervention for Depression
ClinicalTrials.gov study NCT06975098. IPD Sharing: NO. Countries: 1. Publications: 41.
A Trial of Validation and Restoration of Immune Dysfunction in Severe Infections and Sepsis
ClinicalTrials.gov study NCT03332225. IPD Sharing: NO. Countries: 1. Publications: 15.
Validation of a CREATION Health Assessment Tool for Patients in a Diabetic Outpatient Population
ClinicalTrials.gov study NCT03686917. IPD Sharing: NO. Countries: 1. Publications: 2.
HairDx Analytical Validation Study
ClinicalTrials.gov study NCT04379583. IPD Sharing: NO. Countries: 1. Publications: 1.
Validation of the GIDS and Description of Phosphate Disorders
ClinicalTrials.gov study NCT05909722. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
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.