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165 results for “multimodal imaging”

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zenodo28/100

Multimodal Features Integration: Genomics and Histopathological images for colon cancer stage prediction and survival stratification

<p>File Description</p> <p>clinical_patient_coad.xls - Clinical data for colon cancer patients<br>COAD__geneExp.xls - RNA data for colon cancer patients<br>COAD__methylation_450__TSS200-TSS1500.xls - DNA methylation data for colon cancer patients<br>COAD__miRNAExp__ReadCount.xls - miRNA data for colon cancer patients<br>COAD_DX_STG1.tar.gz - Image tiles for stage 1 colon cancer patients<br>COAD_DX_STG2.tar.gz - Image tiles for stage 2 colon cancer patients<br>COAD_DX_STG3.tar.gz - Image tiles for stage 3 colon cancer patients<br>COAD_DX_STG4.tar.gz - Image tiles for stage 4 colon cancer patients</p>

opencc-by-4.0Mar 2024View details →
zenodo28/100

Raw data for "Multimodal imaging of cubic Cu2O@Au nanocage formation via galvanic replacement using X-ray ptychography and nano diffraction"

<p><strong>Raw data for &quot;Multimodal imaging of cubic Cu2O@Au nanocage formation via galvanic replacement using X-ray ptychography and nano diffraction&quot;</strong></p> <p>The file &quot;raw_data_ptychography_waxs.zip&quot; contains one HDF5 archive for each scan. The archives are structured as follows:</p> <ul> <li>section experiment: <ul> <li>identifiers of the lightsource, beamline, beamtime, session number, and scan number</li> </ul> </li> <li>section measured: <ul> <li>N diffraction patterns of size 512x512 px used for ptychography</li> <li>N WAXS patterns of size 514x1030 px</li> <li>N scan positions in mm</li> <li>one detector mask of size 512x512 px used for ptychography</li> <li>one detector mask of size 514x1030 px used for WAXS</li> <li>slice separation in mm for multi slice reconstruction</li> </ul> </li> <li>section parameters: <ul> <li>distance between sample and forward detector (ptychography) in mm</li> <li>pixel size of forward detector&nbsp;(ptychography) in mm</li> <li>photon energy in keV</li> <li>cropping of diffraction patterns in px used for ptychographic reconstruction</li> </ul> </li> </ul> <p>The following lists show the scan numbers with their corresponding reaction times and slice separations for the in situ series recorded during growth of Cu<sub>2</sub>O nanocubes, as well as galvanic replacement with Au measured out of focus and in focus.</p> <p>Growth of Cu<sub>2</sub>O nanocubes:</p> <table> <tbody> <tr> <td><strong>scan number</strong></td> <td><strong>slice distance, mm</strong></td> <td><strong>reaction time, h</strong></td> </tr> <tr> <td>179</td> <td>1</td> <td>1.58</td> </tr> <tr> <td>185</td> <td>1</td> <td>3.59</td> </tr> <tr> <td>191</td> <td>1</td> <td>4.78</td> </tr> <tr> <td>192</td> <td>1</td> <td>5.21</td> </tr> <tr> <td>193</td> <td>1</td> <td>5.64</td> </tr> <tr> <td>194</td> <td>1</td> <td>6.08</td> </tr> <tr> <td>195</td> <td>1</td> <td>6.51</td> </tr> <tr> <td>196</td> <td>1</td> <td>6.94</td> </tr> <tr> <td>197</td> <td>1</td> <td>7.37</td> </tr> <tr> <td>198</td> <td>1</td> <td>7.81</td> </tr> <tr> <td>199</td> <td>1</td> <td>8.24</td> </tr> <tr> <td>200</td> <td>1</td> <td>8.67</td> </tr> <tr> <td>201</td> <td>1</td> <td>9.10</td> </tr> <tr> <td>202</td> <td>1</td> <td>9.53</td> </tr> <tr> <td>203</td> <td>1</td> <td>9.97</td> </tr> <tr> <td>204</td> <td>1</td> <td>10.41</td> </tr> <tr> <td>205</td> <td>1</td> <td>10.86</td> </tr> <tr> <td>207</td> <td>0.96</td> <td>11.53</td> </tr> <tr> <td>208</td> <td>0.94</td> <td>11.96</td> </tr> <tr> <td>209</td> <td>0.92</td> <td>12.41</td> </tr> <tr> <td>210</td> <td>0.9</td> <td>12.85</td> </tr> <tr> <td>211</td> <td>0.88</td> <td>13.29</td> </tr> <tr> <td>212</td> <td>0.86</td> <td>13.74</td> </tr> <tr> <td>213</td> <td>0.84</td> <td>14.19</td> </tr> <tr> <td>215</td> <td>0.8</td> <td>15.07</td> </tr> <tr> <td>216</td> <td>0.78</td> <td>15.50</td> </tr> <tr> <td>218</td> <td>0.74</td> <td>16.06</td> </tr> <tr> <td>219</td> <td>0.72</td> <td>16.50</td> </tr> <tr> <td>220</td> <td>0.7</td> <td>16.82</td> </tr> <tr> <td>221</td> <td>0.68</td> <td>17.08</td> </tr> <tr> <td>223</td> <td>0.64</td> <td>17.79</td> </tr> <tr> <td>225</td> <td>0.6</td> <td>18.53</td> </tr> </tbody> </table> <p>Galvanic replacement with Au measured out of focus:</p> <table> <tbody> <tr> <td><strong>scan number</strong></td> <td><strong>slice distance, mm</strong></td> <td><strong>reaction time, h</strong></td> </tr> <tr> <td>263</td> <td>1</td> <td>-0.53</td> </tr> <tr> <td>265</td> <td>1</td> <td>0.13</td> </tr> <tr> <td>266</td> <td>1</td> <td>0.38</td> </tr> <tr> <td>267</td> <td>1</td> <td>0.63</td> </tr> <tr> <td>268</td> <td>1</td> <td>0.89</td> </tr> <tr> <td>269</td> <td>1</td> <td>1.14</td> </tr> <tr> <td>270</td> <td>1</td> <td>1.40</td> </tr> <tr> <td>271</td> <td>1</td> <td>1.64</td> </tr> <tr> <td>272</td> <td>1</td> <td>1.90</td> </tr> <tr> <td>273</td> <td>1</td> <td>2.14</td> </tr> <tr> <td>274</td> <td>1</td> <td>2.39</td> </tr> <tr> <td>275</td> <td>1</td> <td>2.63</td> </tr> <tr> <td>276</td> <td>1</td> <td>2.87</td> </tr> <tr> <td>277</td> <td>1</td> <td>3.11</td> </tr> <tr> <td>278</td> <td>1</td> <td>3.35</td> </tr> <tr> <td>279</td> <td>1</td> <td>3.60</td> </tr> <tr> <td>280</td> <td>1</td> <td>3.84</td> </tr> <tr> <td>281</td> <td>1</td> <td>4.08</td> </tr> <tr> <td>282</td> <td>1</td> <td>4.32</td> </tr> <tr> <td>283</td> <td>1</td> <td>4.74</td> </tr> <tr> <td>284</td> <td>1</td> <td>5.15</td> </tr> <tr> <td>286</td> <td>1</td> <td>5.59</td> </tr> <tr> <td>287</td> <td>1</td> <td>6.01</td> </tr> <tr> <td>288</td> <td>1</td> <td>6.35</td> </tr> <tr> <td>289</td> <td>1</td> <td>6.74</td> </tr> <tr> <td>290</td> <td>1</td> <td>7.15</td> </tr> <tr> <td>291</td> <td>1</td> <td>7.55</td> </tr> <tr> <td>292</td> <td>1</td> <td>7.94</td> </tr> <tr> <td>293</td> <td>1</td> <td>8.35</td> </tr> <tr> <td>294</td> <td>1</td> <td>8.75</td> </tr> <tr> <td>295</td> <td>1</td> <td>9.16</td> </tr> <tr> <td>296</td> <td>1</td> <td>9.56</td> </tr> <tr> <td>297</td> <td>1</td> <td>9.96</td> </tr> </tbody> </table> <p>Galvanic replacement with Au measured in focus:</p> <table> <tbody> <tr> <td><strong>scan number</strong></td> <td><strong>slice distance, mm</strong></td> <td><strong>reaction time, h</strong></td> </tr> <tr> <td>117</td> <td>1</td> <td>0.33</td> </tr> <tr> <td>118</td> <td>1</td> <td>0.93</td> </tr> <tr> <td>119</td> <td>1</td> <td>1.51</td> </tr> <tr> <td>120</td> <td>1</td> <td>2.08</td> </tr> <tr> <td>121</td> <td>1</td> <td>2.66</td> </tr> <tr> <td>122</td> <td>1</td> <td>3.24</td> </tr> <tr> <td>123</td> <td>1</td> <td>3.87</td> </tr> <tr> <td>124</td> <td>1</td> <td>4.44</td> </tr> <tr> <td>125</td> <td>1</td> <td>5.02</td> </tr> <tr> <td>126</td> <td>1</td> <td>5.61</td> </tr> <tr> <td>127</td> <td>1</td> <td>6.19</td> </tr> <tr> <td>128</td> <td>1</td> <td>6.77</td> </tr> <tr> <td>129</td> <td>1</td> <td>7.35</td> </tr> <tr> <td>130</td> <td>1</td> <td>7.93</td> </tr> <tr> <td>131</td> <td>1</td> <td>8.50</td> </tr> </tbody> </table> <p>The files &quot;waxs_detector_calibration_cu2o_growth.poni&quot; and &quot;waxs_detector_calibration_au_galvanic_replacement.poni&quot; contain the PONI data to be used for azimuthal integration of WAXS patterns using the pyFAI library.</p> <p><strong>Ptychographic reconstructions</strong></p> <p>The file &quot;ptychographic_reconstructions.zip&quot; contains the ptychographic reconstructions shown in the article and supplementary information in tiff format.</p> <p>Stacks of images corresponding to time series:</p> <ul> <li>Figure 1b, 2: P06_Cu2O_growth_scans_00179-00225_entrance_window.tif</li> <li>Figure 1b, 2: P06_Cu2O_growth_scans_00179-00225_exit_window.tif</li> <li>Figure 1d, 4, 5: P06_Au_galvanic_replacement_de-focus_scans_00263-00297_exit_window.tif</li> <li>Figure 5c: P06_Au_galvanic_replacement_in-focus_scans_00117-00131_exit_window.tif</li> </ul> <p><strong>SEM and EDX</strong></p> <p>The file &quot;SEM_EDX.zip&quot; contains the SEM images and EDX maps shown in Figure 3 in png format. Subfolders indicate the reaction time.</p>

opencc-by-4.0Jan 2023View details →
ClinicalTrials.gov28/100

Establishment and Evaluation of Multimodal Image Recognition System of Glioma Based on Deep Learning

ClinicalTrials.gov study NCT04407039. IPD Sharing: UNDECIDED. Countries: 0. Publications: 4.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov28/100

Evaluation of Response to the Neoadjuvant Chemotherapy for Advanced Ovarian Cancer by Multimodal Functional Imaging

ClinicalTrials.gov study NCT02792959. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov28/100

Multimodal Imaging and Biospecimen Collection for Low Back Pain (LBPB)

ClinicalTrials.gov study NCT06967363. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov28/100

A Multimodal Imaging Study of Dopamine in Early Psychosis

ClinicalTrials.gov study NCT06977308. IPD Sharing: YES. Countries: 0. Publications: 1.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov28/100

Multimodal Cardiovascular Magnetic Resonance Imaging for Cardiometabolic Pre-HF and HFpEF

ClinicalTrials.gov study NCT07336316. IPD Sharing: Not stated. Countries: 0. Publications: 4.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad28/100

Data from: A multimodal image guiding system for Navigated Ultrasound Bronchoscopy (EBUS): a human feasibility study

Open the record for dataset details and reuse information.

publicFeb 2018View details →
geo24/100

Non-Invasive, Label-free Image Approaches to Predict Multimodal Molecular Markers in Pluripotency Assessment

GEO Series GSE256303. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2024View details →
geo24/100

STAMP: Single-Cell Transcriptomics Analysis and Multimodal Profiling through Imaging [CosMx Spatial]

GEO Series GSE290466. Homo sapiens. 92 samples. Type: Other.

openGEO-OpenJun 2025View details →
geo24/100

STAMP: Single-Cell Transcriptomics Analysis and Multimodal Profiling through Imaging [Xenium]

GEO Series GSE301112. Mus musculus; Homo sapiens. 63 samples. Type: Other.

openGEO-OpenJun 2025View details →
geo24/100

STAMP: Single-Cell Transcriptomics Analysis and Multimodal Profiling through Imaging [Merscope]

GEO Series GSE301544. Homo sapiens; synthetic construct. 12 samples. Type: Other.

openGEO-OpenJul 2025View details →
zenodo24/100

Multimodal 2D and 3D microscopic mapping of growth cartilage by computational imaging techniques – a short review including new research

<p>This dataset contains the phase and amplitude maps obtained with Fourier ptychographic microscopy and the X-ray diffraction tensor tomography dataset described in the journal article "Multimodal 2D and 3D microscopic mapping of growth cartilage by computational imaging techniques".</p>

opencc-by-4.0Apr 2024View details →
zenodo24/100

Multimodal imaging data in PD

<p>In this work we explored structural and metabolic alterations within the nigrostriatal system in a population of <em>de novo</em> PD patients.&nbsp;We assessed the degree and spatial pattern of dopaminergic denervation (FDOPA), microstructural integrity (FW), and iron accumulation (R2*) within several regions of the nigrostriatal system, including spatial divisions of the SNc and striatum.</p>

openSep 2023View details →
ClinicalTrials.gov24/100

Differentiation of Progression From Treatment Effects in High-Grade Gliomas: A Clinical Trial With Multimodality MR Imaging

ClinicalTrials.gov study NCT03102203. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Multimodal PET Imaging in the Diagnosis and Treatment of Pelvic Tumors

ClinicalTrials.gov study NCT06774209. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Linking Cognitive Functioning to Multimodal Imaging in Multiple Sclerosis (MS)

ClinicalTrials.gov study NCT03723356. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov24/100

Creation of a Database of Healthy Subjects With 18FDG PET Brain Imaging as Part of the MOBILE Project (Multimodal Whole-Brain Imaging in Epilepsy)

ClinicalTrials.gov study NCT06976788. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Multimodality Imaging Assessment of the Severity of Mitral Regurgitation

ClinicalTrials.gov study NCT06266858. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Multimodal Ocular Imaging in Neurodegeneration

ClinicalTrials.gov study NCT03699644. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record