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.
1,389
datasets available to search
ShareScore release 0.9.0
Dataset results
1,389 results for “multimodality”
MuFoRa – A Multimodal Dataset of Traffic Elements Under Controllable and Measured Adverse Weather Conditions of Fog and Rain
<div> <p>This is a novel multimodal dataset of traffic elements consisting of image and point cloud files in typical adverse weather situations especially suited for autonomous driving sensors and algorithms performance characterization. The specialty of this dataset arises from parametric acquisition under controllable and measured fog (quantified as visibility) and rain intensity conditions in the indoor test facility of CARISMA - THI in collaboration with HM. </p> <p> </p> </div>
ROS2 bag multimodal dataset acquired in a Portuguese forest with a handheld sensing platform for Eucalyptus selective thinning
<p>Dataset of several ROS2 bags acquired using a handheld sensing platform in a forest area in Melres, Portugal (41.08559152851395, -8.401160652897337).<br> <br> The bags are composed by Point Clouds, RGB images, Stereo images, Depth images and IMU data of three sensors:</p> <ul> <li>Velodyne Velarray M1600</li> <li>Livox Mid-70</li> <li>OAK-D</li> </ul>
Link to dataset related to article "Multimodal single-cell profiling of intrahepatic cholangiocarcinoma defines hyperactivated Tregs as a potential therapeutic target "
<p>This record contains raw data related to article “Multimodal single-cell profiling of intrahepatic cholangiocarcinoma defines hyperactivated Tregs as a potential therapeutic target"</p> <p>Abstract:</p> <p><strong>Background & aims: </strong> The landscape and function of the immune infiltrate of intrahepatic cholangiocarcinoma (iCCA), a rare, yet aggressive tumor of the biliary tract, remains poorly characterized, limiting development of successful immunotherapies. Herein, we aimed to define the molecular characteristics of tumor-infiltrating leukocytes with a special focus on CD4+ regulatory T cells (Tregs).</p> <p><strong>Methods: </strong> We used high-dimensional single-cell technologies to characterize the T-cell and myeloid compartments of iCCA tissues, comparing these with their tumor-free peritumoral and circulating counterparts. We further used genomics and cellular assays to define the iCCA-specific role of a novel transcription factor, mesenchyme homeobox 1 (MEOX1), in Treg biology.</p> <p><strong>Results: </strong> We found poor infiltration of putative tumor-specific CD39+ CD8+ T cells accompanied by abundant infiltration of hyperactivated CD4+ Tregs. Single-cell RNA-sequencing identified an altered network of transcription factors in iCCA-infiltrating compared to peritumoral T cells, suggesting reduced effector functions by tumor-infiltrating CD8+ T cells and enhanced immunosuppression by CD4+ Tregs. Specifically, we found that expression of MEOX1 was highly enriched in tumor-infiltrating Tregs, and demonstrated that MEOX1 overexpression is sufficient to reprogram circulating Tregs to acquire the transcriptional and epigenetic landscape of tumor-infiltrating Tregs. Accordingly, enrichment of the MEOX1-dependent gene program in Tregs was strongly associated with poor prognosis in a large cohort of patients with iCCA.</p> <p><strong>Conclusions: </strong> We observed abundant infiltration of hyperactivated CD4+ Tregs in iCCA tumors along with reduced CD8+ T-cell effector functions. Interfering with hyperactivated Tregs should be explored as an approach to enhance antitumor immunity in iCCA.</p> <p><strong>Lay summary: </strong> Immune cells have the potential to slow or halt the progression of tumors. However, some tumors, such as intrahepatic cholangiocarcinoma, are associated with very limited immune responses (and infiltration of cancer-targeting immune cells). Herein, we show that a specific population of regulatory T cells (a type of immune cell that actually suppresses the immune response) are hyperactivated in intrahepatic cholangiocarcinoma. Targeting these cells could enable cancer-targeting immune cells to act more effectively and should be looked at as a potential therapeutic approach to this aggressive cancer type.</p>
Dataset for the project "Tactile mirror system in borderline personality disorder: a multimodal approach to study brain connectivity and plasticity" (SG-2019-12370473)
<p><strong>Aim 1:</strong></p> <p>Assessment of TaMS alterations in BPD at behavioral and neurophysiological level, focusing on effective connectivity pattern by means of TMS-EEG, and its relationship with empathic abilities (Exp. 1).</p> <p><strong>Aim 2:</strong></p> <p>Assessment of plasticity mechanisms within TaMS in BPD by means of a cross-modal PAS protocol and their relationship with empathic abilities (Exp. 2).</p> <p> </p> <p><strong>The present dataset contains the following files and folders:</strong></p> <p>Folder: <strong>Aim1</strong></p> <p>- <strong>READ ME</strong> AIM1.txt explains folder structure and file content details.</p> <p>- File: <strong>SG2019_Aim1_Demographics.xlsx </strong>contains demographic data. </p> <p>- File <strong>SG2019_Aim1_Empathy.xlsx </strong>contains data on the empathic levels obtained by self-report questionnaires.</p> <p>- File:<strong> SG2019_Aim1_rMT.xlsx </strong>contains the rMT measured to set TMS intensity.</p> <p>- File <strong>SG2019_Aim1_VTSC.xlsx </strong>contains data on behavioral performance (RTs and number of errors).</p> <p>- Subfolder: <strong>TMS-Evoked Potentials</strong>. Data are organized in 6 files per group according to trial type (.mat format).</p> <p>- Subfolder: <strong>Event-Related Potentials</strong>. Data are organized in 3 files per group according to trial type (.mat format).</p> <p>- Subfolder: <strong>Time-frequency Pattern</strong>. Data are organized in 3 files per group according to trial type (.mat format).</p> <p> </p> <p>Folder: <strong>Aim2</strong></p> <p>- <strong>READ ME</strong> AIM2.txt explains folder structure and file content details.</p> <p>- File: <strong>SG2019_Aim2_Demographics.xlsx </strong>contains demographic data. </p> <p>- File <strong>SG2019_Aim2_Empathy.xlsx </strong>contains data on the empathic levels obtained by self-report questionnaire.</p> <p>- File:<strong> SG2019_Aim2_rMT.xlsx </strong>contains the rMT measured to set TMS intensity in the two experimental sessions and which session was performed first.</p> <p>- File <strong>SG2019_Aim2_VTSC.xlsx </strong>contains data on behavioral performance (RTs and number of errors) in the two experimental sessions.</p> <p> </p> <p><strong>Acronym list:</strong></p> <p><u>BPD</u>: borderline personality disorder</p> <p><u>EEG</u>: electroencephalography</p> <p><u>HC</u>: healthy controls</p> <p><u>PAS</u>: paired associative stimulation</p> <p><u>pw-BPD</u>: patients with BPD</p> <p><u>rMT</u>: resting motor threshold</p> <p><u>TaMS</u>: tactile mirror system</p> <p><u>TMS</u>: transcranial magnetic stimulation</p> <p><u>VTSC</u>: visuo-tactile spatial congruity task</p> <p> </p> <p>Restricted Access Conditions: Users must clarify how they intend to use data here uploaded and whether the research protocol has been approved by an Ethics committee. Data on unpublished results will be available, under the same restrictions, after publication.</p>
ERIT Lightweight Multimodal Dataset for Elderly Emotion Recognition
<p><span>ERIT is a novel multimodal dataset designed to facilitate research in elderly emo</span><span>tion recognition. The dataset contains lightweight text and image data collected</span><br><span>from videos of elderly individuals reacting to various stimuli. The dataset includes </span><span>transcriptions of the speech and emotion labels extracted from the video frames. It was created for multimodal fusion evaluation, but can be also used for elderly emotion recognition from the image.<br></span></p>
Multimodal MRI characterizes clinical outcome in chronic traumatic brain injury
<p>Dataset and R codes necessary to reproduce the Tables and Figures of the publication entitled "<strong>Multimodal MRI characterizes clinical outcome in chronic traumatic brain injury</strong>". Please consult the text file README_first.</p>
Multimodal Dataset for Predicting the Interruptibility of Office Workers
<p>This is a multimodal dataset for predicting the interruptibility of office workers. </p>
Dataset related to article "Multimodal single-cell profiling of intrahepatic cholangiocarcinoma defines hyperactivated Tregs as a potential therapeutic target"
<p>This record contains raw data related to article “Multimodal single-cell profiling of intrahepatic cholangiocarcinoma defines hyperactivated Tregs as a potential therapeutic target"</p> <p>Abstract</p> <p><strong>Background & aims: </strong> The landscape and function of the immune infiltrate of intrahepatic cholangiocarcinoma (iCCA), a rare, yet aggressive tumor of the biliary tract, remains poorly characterized, limiting development of successful immunotherapies. Herein, we aimed to define the molecular characteristics of tumor-infiltrating leukocytes with a special focus on CD4+ regulatory T cells (Tregs).</p> <p><strong>Methods: </strong> We used high-dimensional single-cell technologies to characterize the T-cell and myeloid compartments of iCCA tissues, comparing these with their tumor-free peritumoral and circulating counterparts. We further used genomics and cellular assays to define the iCCA-specific role of a novel transcription factor, mesenchyme homeobox 1 (MEOX1), in Treg biology.</p> <p><strong>Results: </strong> We found poor infiltration of putative tumor-specific CD39+ CD8+ T cells accompanied by abundant infiltration of hyperactivated CD4+ Tregs. Single-cell RNA-sequencing identified an altered network of transcription factors in iCCA-infiltrating compared to peritumoral T cells, suggesting reduced effector functions by tumor-infiltrating CD8+ T cells and enhanced immunosuppression by CD4+ Tregs. Specifically, we found that expression of MEOX1 was highly enriched in tumor-infiltrating Tregs, and demonstrated that MEOX1 overexpression is sufficient to reprogram circulating Tregs to acquire the transcriptional and epigenetic landscape of tumor-infiltrating Tregs. Accordingly, enrichment of the MEOX1-dependent gene program in Tregs was strongly associated with poor prognosis in a large cohort of patients with iCCA.</p> <p><strong>Conclusions: </strong> We observed abundant infiltration of hyperactivated CD4+ Tregs in iCCA tumors along with reduced CD8+ T-cell effector functions. Interfering with hyperactivated Tregs should be explored as an approach to enhance antitumor immunity in iCCA.</p> <p><strong>Lay summary: </strong> Immune cells have the potential to slow or halt the progression of tumors. However, some tumors, such as intrahepatic cholangiocarcinoma, are associated with very limited immune responses (and infiltration of cancer-targeting immune cells). Herein, we show that a specific population of regulatory T cells (a type of immune cell that actually suppresses the immune response) are hyperactivated in intrahepatic cholangiocarcinoma. Targeting these cells could enable cancer-targeting immune cells to act more effectively and should be looked at as a potential therapeutic approach to this aggressive cancer type.</p> <p> </p>
Multimodal single-cell profiling of intrahepatic cholangiocarcinoma defines hyperactivated Tregs as a potential therapeutic target
<p>Multimodal single-cell profiling of intrahepatic cholangiocarcinoma defines hyperactivated Tregs as a potential therapeutic target</p> <p> </p> <p>Abstract</p> <p><strong>Background & aims: </strong>The landscape and function of the immune infiltrate of intrahepatic cholangiocarcinoma (iCCA), a rare, yet aggressive tumor of the biliary tract, remains poorly characterized, limiting development of successful immunotherapies. Herein, we aimed to define the molecular characteristics of tumor-infiltrating leukocytes with a special focus on CD4+ regulatory T cells (Tregs).</p> <p><strong>Methods: </strong>We used high-dimensional single-cell technologies to characterize the T-cell and myeloid compartments of iCCA tissues, comparing these with their tumor-free peritumoral and circulating counterparts. We further used genomics and cellular assays to define the iCCA-specific role of a novel transcription factor, mesenchyme homeobox 1 (MEOX1), in Treg biology.</p> <p><strong>Results: </strong>We found poor infiltration of putative tumor-specific CD39+ CD8+ T cells accompanied by abundant infiltration of hyperactivated CD4+ Tregs. Single-cell RNA-sequencing identified an altered network of transcription factors in iCCA-infiltrating compared to peritumoral T cells, suggesting reduced effector functions by tumor-infiltrating CD8+ T cells and enhanced immunosuppression by CD4+ Tregs. Specifically, we found that expression of MEOX1 was highly enriched in tumor-infiltrating Tregs, and demonstrated that MEOX1 overexpression is sufficient to reprogram circulating Tregs to acquire the transcriptional and epigenetic landscape of tumor-infiltrating Tregs. Accordingly, enrichment of the MEOX1-dependent gene program in Tregs was strongly associated with poor prognosis in a large cohort of patients with iCCA.</p> <p><strong>Conclusions: </strong>We observed abundant infiltration of hyperactivated CD4+ Tregs in iCCA tumors along with reduced CD8+ T-cell effector functions. Interfering with hyperactivated Tregs should be explored as an approach to enhance antitumor immunity in iCCA.</p> <p><strong>Lay summary: </strong>Immune cells have the potential to slow or halt the progression of tumors. However, some tumors, such as intrahepatic cholangiocarcinoma, are associated with very limited immune responses (and infiltration of cancer-targeting immune cells). Herein, we show that a specific population of regulatory T cells (a type of immune cell that actually suppresses the immune response) are hyperactivated in intrahepatic cholangiocarcinoma. Targeting these cells could enable cancer-targeting immune cells to act more effectively and should be looked at as a potential therapeutic approach to this aggressive cancer type.</p> <p> </p>
Multimodal Defensive Communication Database (DefComm-DB)
<p><strong>Description: </strong>DefComm-DB comprises 261 genuine <em>real-world </em>dialogues between English-speaking individuals in 'real-world' settings that feature one of the defensive behaviours outlined in Birkenbihl's model of communication failures <a href="#biblio1">[1]</a>:</p> <ol> <li>Attacking the conversation partner (class <em>Attack</em>): videos that depict individuals actively attacking verbally, blaming the other person, or shifting the other person's attention to themselves.</li> <li>Withdrawing from the communication (class <em>Flight</em>): videos where people refuse to respond, withdraw from the conversation or change the topic or focus.</li> <li>Making oneself greater (class <em>Greater</em>): videos that depict individuals boasting, self-justifying in an aggressive manner, denying accusations, exhibiting a sense of dominance or superiority, or expressing indignation.</li> <li>Making oneself smaller (class <em>Smaller</em>): videos that display individuals engaging in self-deprecation, self-blame, exhibiting a sense of guilt, apologising, and expressing feelings of vulnerability or worthlessness.</li> </ol> <p>[1] Birkenbihl, V. (2013). Kommunikationstraining: Zwischenmenschliche Beziehungen erfolgreich gestalten. Schritte 1–6. : mvg Verlag.</p> <p>Key statistics on the dataset are provided in <a href="#tab:defcomm-stats">Table 1</a>. <strong>DefComm-DB</strong> features a variety of video topics, including interviews with celebrities and professional athletes, political debates, legal trials, TV shows, and video footage obtained by paparazzi, among others. The situations, number of participants, gender, age, and ethnicity vary from scene to scene.</p> <p>From each video, we retrieve audio, visual, and textual modalities. In this paper, we focus on the audio modality and the speech transcriptions.</p> <table> <caption><strong>Table 1: Statistics on DefComm-DB:</strong> number of video clips, mean duration (μ), standard deviation (σ), minimum, maximum, and total duration of collected videos per class.</caption> <tbody> <tr> <th>Label</th> <th># video clips</th> <th>μ [s]</th> <th>σ [s]</th> <th>min [s]</th> <th>max [s]</th> <th>Σ duration [s]</th> </tr> <tr> <td>Attack</td> <td>112</td> <td>8</td> <td>9</td> <td>2</td> <td>46</td> <td>949</td> </tr> <tr> <td>Flight</td> <td>57</td> <td>9</td> <td>8</td> <td>2</td> <td>62</td> <td>494</td> </tr> <tr> <td>Greater</td> <td>45</td> <td>9</td> <td>6</td> <td>2</td> <td>25</td> <td>416</td> </tr> <tr> <td>Smaller</td> <td>47</td> <td>12</td> <td>8</td> <td>3</td> <td>49</td> <td>556</td> </tr> <tr> <td><strong>Total</strong></td> <td><strong>261</strong></td> <td><strong>9</strong></td> <td><strong>8</strong></td> <td><strong>2</strong></td> <td><strong>62</strong></td> <td><strong>2415</strong></td> </tr> </tbody> </table> <p> </p> <p>If you use <strong>DefComm-DB </strong>in your research work, you are kindly asked to acknowledge it in your publications.</p> <p><em>S. Amiriparian, L. Christ, R. Kushtanova, M. Gerczuk, A. Teynor, and B. Schuller, “Speech-Based Classification of Defensive Communication: A Novel Dataset and Results,” in Proc. INTERSPEECH 2023, Dublin, Ireland, ISCA, 8 2023. 5 pages, to appear.</em></p> <p><em>@inproceedings{Amiriparian23-SCO, </em></p> <p><em>author = {Shahin Amiriparian and Lukas Christ and Regina Kushtanova and Maurice Gerczuk and Alexandra Teynor and Björn Schuller}, <br> title = {{Speech-Based Classification of Defensive Communication: A Novel Dataset and Results}}, <br> booktitle = {{Proceedings INTERSPEECH 2023}}, <br> year = {2023}, <br> address = {Dublin, Ireland},<br> publisher = {ISCA}, <br> month = {8}, <br> note = {5 pages, to appear},<br> }</em></p>
ROS2 bag multimodal perception dataset acquired in Portuguese forest with Modular-E robot for line vegetation clearing
<p>Rosbag data acquired:</p> <ul> <li>RGB-D data from OAK-D facing sideways;</li> <li>Pointcloud from Hokuyo 2D Lidar facing sideways;</li> <li>Pointcloud from Robosense 360º Lidar facing forward;</li> <li>RTK fix.</li> </ul>
MMIFR: Multimodal Industry Focused Data Repository
<p>The MMIFR data repository consists of three distinct components: MMIFR-D, MMIFR-FS, and MMIFR-P. The MMIFR-D dataset comprises a comprehensive assemblage of 5907 images accompanied by corresponding textual descriptions, notably facilitating the application of industrial equipment classification. In contrast, the MMIFR-FS dataset serves as an alternative variant characterized by the inclusion of 129 distinct classes and 5907 images, specifically catering to the task of few-shot learning within the industrial domain. Additionally, the MMIFR-P dataset consists of 142 textual-visual information pairs, making it suitable for detecting pairs of industrial equipment.</p>
Offroad UGV environment sensing : a multimodal dataset for farming and forestry operations
<p>The aim of this dataset is to provide a multimodal dataset for environmental perception tasks in agricultural and forestry environments, in the case of autonomous land vehicle navigation. This evolving dataset will be updated regularly throughout 2023.</p> <p><br> This dataset is provided by Technology & Strategy Engineering SAS and is jointly funded by the Agence Nationale de la Recherche et de la Technologique (ANRT). This work was carried out in collaboration with the University of Haute Alsace, and more specifically the MIAM-FOTI team of the IRIMAS EA7499 laboratory.</p>
Multimodal MRI in Multiple Sclerosis (MS): Reliability and Follow Up
ClinicalTrials.gov study NCT00289159. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Multimodal analyses of a non-human primate model harboring mutant amyloid precursor protein transgenes driven by the human EF1α promoter [RNA-seq]
GEO Series GSE192674. Callithrix jacchus. 4 samples. Type: Expression profiling by high throughput sequencing.
Multimodal single-cell and spatial profiling reveals altered T cell-mediated immunity and B-cell follicular architecture in non-metastatic lymph nodes of patients with aggressive non-small cell lung c
GEO Series GSE316782. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing; Other.
Multimodal integration of epigenetics, spatial transcriptomics and immune microenvironment in sacral chordoma
GEO Series GSE308436. Homo sapiens. 29 samples. Type: Methylation profiling by genome tiling array.
Multimodal immune cell phenotyping in gastrointestinal biopsies reveals microbiome-related T cell modulations in human GvHD patients
GEO Series GSE234357. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing; Other.
Multimodal single cell profiling of bone fracture microenvironment
GEO Series GSE273792. Mus musculus. 24 samples. Type: Expression profiling by high throughput sequencing.
Gut health in multiple joint osteoarthritis: a multimodal investigation in humans and pet dogs
GEO Series GSE293105. Canis lupus familiaris. 94 samples. Type: Other.
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.