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 0.7.1
Dataset results
8,038 results for “validation”
Validation dataset for the ICASSP-2024 3D-CBCT challenge
<p>Validation Dataset for the ICASSP-2024 3D-CBCT challenge</p> <p>https://sites.google.com/view/icassp2024-spgc-3dcbct/home</p> <p>Please dowload all files into one folder, and then merge them together with:</p> <pre><code class="language-bash">$ zip -s 0 validate.zip --out validate_unsplit.zip </code></pre> <p>This will create a new zip file, "validate_unsplit.zip" that then you can unzip with your favourite tool, e.g.</p> <pre><code class="language-bash">$ unzip validate_unsplit.zip</code></pre> <p> </p> <p>The CBCT geometry required to be used</p> <p>image size : [300 300 300] mm<br> image shape : [256 256 256] voxels<br> voxel size : [1.171875 1.171875 1.171875] mm<br> detector shape : [256 256] pixels<br> detector size : [600, 600] mm<br> pixel size : [2.34375, 2.34375] mm<br> distance source origin (axis of rotation, center of image) : 575 mm<br> distance source to detector : 1050 mm</p> <p> </p> <p> </p> <p>Remember that to be part of the challenge you need to register in the webpage above.</p> <p> </p>
Dataset for Validation of a Qualification Procedure Applied to the Verification of Partial Discharge Analysers Used for HVDC or HVAC Networks
<p>Data set for the publication named: "Validation of a Qualification Procedure Applied to the Verification of Partial Discharge Analysers Used for HVDC or HVAC Networks"</p>
MedFS EAS5 Validation Dataset
<p>Datasets used for the validation of the physical component of the Mediterranean Analysis and Forecast center of the EU Copernicus Marine Service for the period 2018-2020.</p><p>The observations used are: </p><ul><li>vertical profiles of temperature and salinity from Argo floats: <a href="https://data.marine.copernicus.eu/product/INSITU_GLO_PHYBGCWAV_DISCRETE_MYNRT_013_030">https://data.marine.copernicus.eu/product/INSITU_GLO_PHYBGCWAV_DISCRETE_MYNRT_013_030</a> ) after an internal quality check procedure</li><li>Satellite Sea Level along track data from Copernicus Marine SeaLevel-TAC product: <a href="https://data.marine.copernicus.eu/product/SEALEVEL_EUR_PHY_L3_NRT_OBSERVATIONS_008_059">https://data.marine.copernicus.eu/product/SEALEVEL_EUR_PHY_L3_NRT_OBSERVATIONS_008_059</a> ) after an internal quality check procedure</li><li>SST satellite data from Copernicus Marine SST-TAC product: <a href="https://data.marine.copernicus.eu/product/SST_MED_SST_L4_NRT_OBSERVATIONS_010_004/">https://data.marine.copernicus.eu/product/SST_MED_SST_L4_NRT_OBSERVATIONS_010_004/</a> after interpolation to the 1/24° horizontal resolution; <a href="https://data.marine.copernicus.eu/product/SST_MED_SST_L3S_NRT_OBSERVATIONS_010_012">https://data.marine.copernicus.eu/product/SST_MED_SST_L3S_NRT_OBSERVATIONS_010_012</a> after interpolation to the 1/24° horizontal resolution</li></ul><p>Figures in the paper are provided by using model misfits: model minus observations at the same time and position of the observation before it is assimilated.</p>
Validation dataset of 30 m resolution Landsat-8 fractional snow cover in the Asian Water Tower region (2013-2022)
<p>This dataset is the validation dataset for the article 'MODIS Daily Cloud-gap-filled Fractional Snow Cover Dataset of the Asian Water Tower Region (2000-2022)', which is a 30m resolution Landsat-8 fractional snow cover dataset for the time period 2013-2022 in the Asian Water Tower Region. This dataset is based on 3046 scene Landsat-8 surface reflectance data and uses the MESMA-AGE algorithm to retrieve the fractional snow cover. Gaofen-2 images with higher resolution were used to evaluate the accuracy, and the results showed that the accuracy was better, with OA of 94.46% and RMSE of 0.094. The cloud cover of each image in this dataset is less than 10% and the snow cover is more than 30%, which can be used to validate medium- or coarse-scale snow products and to study the spatial distribution of snow at high spatial resolution.</p>
Figure 6 in Seminiferous tubule number and surface: validation of objective parameters to estimate reproduction activity of male European anchovy (Engraulis encrasicolus, L.)
Figure 6. – Histological changes in testis development of Engraulis encrasicolus at the different reproductive maturity stages. A: Stage I, represented only by spermatogonia cells, inactive spermatogenesis, the number of the fields concerned in the biometric analysis N = 236. B: Stage II, active spermatogenesis with primary spermatogenium multiplication and tubular size increase, the number of the fields concerned in the biometric analysis N = 241. C: Stage III, active spermatogenesis, spermatozoa are concentrated in the light of the seminiferous tubules, the number of the fields concerned in the biometric analysis N = 125. D: Stage IV, spermiation, the number of the fields concerned in the biometric analysis N = 93. E: Stage V, seminiferous tubules are empty, spermatozoa are eliminated by release or resorption, the number of the fields concerned in the biometric analysis N = 988.
Figure 4 in Seminiferous tubule number and surface: validation of objective parameters to estimate reproduction activity of male European anchovy (Engraulis encrasicolus, L.)
Figure 4. – Mean values of the gonadosomatic index (GSI, represented in percentage) in Engraulis encrasicolus male collected in the Gulf of Bejaia from October 2007 to May 2008. Data are represented as Mean ± SEM. (values indicates the number of fishes).
Figure 1 in Seminiferous tubule number and surface: validation of objective parameters to estimate reproduction activity of male European anchovy (Engraulis encrasicolus, L.)
Figure 1. – Photomicrograph of male anchovy testicular tissue illustrating the seminiferous tubules in stage I.
Validity of an AI-based Program to Identify Foods and Estimate Food Portion Size
ClinicalTrials.gov study NCT05343585. IPD Sharing: NO. Countries: 1. Publications: 1.
Examining Validity and Sensitivity of Pressure-Mediated Reflection Spectroscopy
ClinicalTrials.gov study NCT04056624. IPD Sharing: YES. Countries: 1. Publications: 3.
Validation of the STarT Back Screening Tool in the Military
ClinicalTrials.gov study NCT03127826. IPD Sharing: YES. Countries: 1. Publications: 6.
Validity of the PortionSize App to Measure Children's Food Intake
ClinicalTrials.gov study NCT05587816. IPD Sharing: NO. Countries: 1. Publications: 0.
Diarrhea etiology prediction validation dataset - Bangladesh and Mali
Open the record for dataset details and reuse information.
Data from: Mapping coastal redwoods (<em>Sequoia sempervirens</em>) across their natural range: An updateable and field-validated distribution map using Sentinel satellite data and cloud computing
Open the record for dataset details and reuse information.
Post-fire flood hazard model (PF2HazMo) version 1.0.0: Model scripts and parameterization and validation data
Open the record for dataset details and reuse information.
Validating marker-less pose estimation with 3D x-ray radiography
Open the record for dataset details and reuse information.
Validation of an indoor real-time location system for tracking sheep
Open the record for dataset details and reuse information.
Data from: Experimental validation of a linear momentum and bluff-body model for high-blockage cross-flow turbine arrays
Open the record for dataset details and reuse information.
Supplement: Multicenter validated detection of focal cortical dysplasia using deep learning
Open the record for dataset details and reuse information.
Experimental measurements and uncertainty analysis for validation of the Building Electrical Efficiency Analysis Model (BEEAM)
Open the record for dataset details and reuse information.
Converting between the International Prostate Symptom Score (IPSS) and the Expanded Prostate Cancer Index Composite (EPIC) urinary subscales: modeling and external validation
Open the record for dataset details and reuse information.
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.