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.
28
datasets available to search
ShareScore release 0.9.0
Dataset results
28 results for “Moca”
Moca: An efficient Memory trace collection system, preliminary experiments results analysis
<p>Every files required to replay the statistic analysis of the preliminary experiments for the artice: "Moca: An efficient Memory trace collection system" submitted at HPDC</p>
Moca: An efficient Memory trace collection system, experiments raw traces
<p>Raw traces generated for preliminary experiment of the article "Moca: An efficient Memory trace collection system" submitted at HPDC'16.</p> <p> </p> <p>Download and extract the raw.tgz archive, then go to the hpdc directory, download and extract all the other archives inside it.</p> <p> </p> <p><strong>Warning:</strong> there are about 80 Gib of raw traces</p>
Moca: An efficient Memory trace collection system, experiments raw traces
<p>Raw traces generated for by the experiment of the article "Moca: An efficient Memory trace collection system" submitted at PMBS'16.</p> <p>Download and extract the raw.tgz archive, then go to the created directory, download and extract all the other archives inside it.</p> <p><strong>Warning:</strong> there are about 90 Gib of raw traces</p>
Moca: An efficient Memory trace collection system, experiments results analysis
<p>Every files required to replay the statistic analysis of the experiments presented in the artice: "Moca: An efficient Memory trace collection system" submitted at PMBS'16</p>
MoCA causal model V1.0
Open the record for dataset details and reuse information.
FIGURE 12 in Description of Moca austrasinensis sp. nov., with the first record of Imma lathidora Meyrick, 1914 from mainland China (Lepidoptera, Immidae)
FIGURE 12. Distribution map of Immidae species in the present study. Records of distribution are taken from Hampson (1891), Meyrick (1914), Diakonoff (1967) and results of this work.
FIGURES 1–6 in Description of Moca austrasinensis sp. nov., with the first record of Imma lathidora Meyrick, 1914 from mainland China (Lepidoptera, Immidae)
FIGURES 1–6. Adults of Immidae: 1, Moca austrasinensis sp. nov., holotype, Shenzhen, Guangdong (SCAU); 2, Moca austrasinensis sp. nov., paratype, Shenzhen, Guangdong (SCAU); 3, Moca chrysocosma (Diakonoff), holotype, Luzon, Philippine, from Diakonoff (1967); 4, Moca purpurascens (Hampson), Nilgiris, India, from Hampson (1891); 5, Imma lathidora Meyrick, Huizhou, Guangdong (SCAU); 6, Imma lathidora Meyrick, holotype, Shuicheliao (Suisharyo), Taiwan, from Diakonoff (1967). Scale=1 cm
FIGURES 10–11 in Description of Moca austrasinensis sp. nov., with the first record of Imma lathidora Meyrick, 1914 from mainland China (Lepidoptera, Immidae)
FIGURES 10–11. Male genitalia of Immidae: 10, Moca chrysocosma (Diakonoff), holotype, from Diakonoff (1967); 11, Imma lathidora Meyrick, holotype, from Diakonoff (1967).
FIGURES 7–9 in Description of Moca austrasinensis sp. nov., with the first record of Imma lathidora Meyrick, 1914 from mainland China (Lepidoptera, Immidae)
FIGURES 7–9. Male genitalia of Immidae: 7, Moca austrasinensis sp. nov., holotype; 8 Moca austrasinensis sp. nov., paratype; 9, Imma lathidora Meyrick.
Swiss SOS MoCA - DCI Study
ClinicalTrials.gov study NCT03032471. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Validation of the Montreal Cognitive Assessment (MoCA) Version 8.x and MoCA-MIS in Greece.
ClinicalTrials.gov study NCT07297121. IPD Sharing: NO. Countries: 1. Publications: 4.
MOCA Versus RFA in the Treatment of Primary Great Saphenous Varicose Veins
ClinicalTrials.gov study NCT01936168. IPD Sharing: YES. Countries: 1. Publications: 6.
Data from: Early MoCA predicts long-term cognitive and functional outcome and mortality after stroke
Open the record for dataset details and reuse information.
MOCAS: A Multimodal Dataset for Objective Cognitive Workload Assessment on Simultaneous Tasks
<p><strong>Description: </strong>This MOCAS is a multimodal dataset dedicated for human cognitive workload (CWL) assessment. In contrast to existing datasets based on virtual game stimuli, the data in MOCAS was collected from realistic closed-circuit television (CCTV) monitoring tasks, increasing its applicability for real-world scenarios. To build MOCAS, two off-the-shelf wearable sensors and one webcam were utilized to collect physiological signals and behavioral features from 21 human subjects. After each task, participants reported their CWL by completing the NASA-Task Load Index (NASA-TLX) and Instantaneous Self Assessment (ISA). Personal background (e.g., personality and prior experience) was surveyed using demographic and Big Five Factor personality questionnaires, and two domains of subjective emotion information (i.e., arousal and valence) were obtained from the Self-Assessment Manikin, which could serve as potential indicators for improving CWL recognition performance. Technical validation was conducted to demonstrate that target CWL levels were elicited during simultaneous CCTV monitoring tasks; its results support the high quality of the collected multimodal signals.</p> <p><strong>Data Access:</strong> In order to protect the sensitive data and privacy of human subjects (e.g., physiological signals and facial views), only authorized researchers who consent to the End User License Agreement (EULA) are allowed to download the MOCAS. The researchers who want to access the MOCAS should visit our website and download the ELUA document;<a href="https://drive.google.com/file/d/1XKbZIlKDYH9RG7QD_v2fB7mYF3pNeA9I/view?usp=sharing"> https://drive.google.com/file/d/1XKbZIlKDYH9RG7QD_v2fB7mYF3pNeA9I/view?usp=sharing</a> After reviewing and filling the document up, they should email the signed ELUA document to <a href="mailto:info@smart-laboratory.org">info@smart-laboratory.org</a> and <a href="mailto:wonsu0513@gmail.com">wonsu0513@gmail.com </a>with Zenodo account and Reqeust Access via this repository (see the below file section). Then, our research group will review and grant their access to our Zenodo repository having the downsampled MOCAS dataset, subjective information, and supplementary codes used in this paper. For sharing the raw dataset, we will sequentially invite their email address used in the Zenodo and the EULA document to access raw dataset uploaded on an additional repository (Purdue BOX, https://purdue.box.com/v/mocas-dataset), due to huge size of the raw dataset.</p> <p><strong><a title="BibTeX">BibTeX </a>Citation:</strong></p> <div>Jo, W., Wang, R., Cha, G. E., Sun, S., Senthilkumaran, R. K., Foti, D., & Min, B. C. (2024). MOCAS: A multimodal dataset for objective cognitive workload assessment on simultaneous tasks. <em>IEEE Transactions on Affective Computing</em>.</div> <pre>or<br><br>@ARTICLE{jo2024mocas, author={Jo, Wonse and Wang, Ruiqi and Cha, Go-Eum and Sun, Su and Senthilkumaran, Revanth Krishna and Foti, Daniel and Min, Byung-Cheol}, journal={IEEE Transactions on Affective Computing}, title={MOCAS: A Multimodal Dataset for Objective Cognitive Workload Assessment on Simultaneous Tasks}, year={2025}, volume={16}, number={1}, pages={116-132}, doi={10.1109/TAFFC.2024.3414330}}</pre>
French Language Validation of the 5-minutes Montreal Cognitive Assessment (MoCA)
ClinicalTrials.gov study NCT03232697. IPD Sharing: NO. Countries: 1. Publications: 0.
MoCA vs. MMS: Which Tool to Detect Cognitive Disorders in Oncogeriatric?
ClinicalTrials.gov study NCT03299855. IPD Sharing: NO. Countries: 1. Publications: 0.
The MOCA I Study - Microvascular Obstruction with CoFI™ System Assessment
ClinicalTrials.gov study NCT03654573. IPD Sharing: NO. Countries: 3. Publications: 0.
MoCa Test for the Early Detection of Mild Cognitive Impairment During Annual Assessment of Young Adults With Diabetes and in a Control Group Without Diabetes
ClinicalTrials.gov study NCT02545062. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Validation Of The Flemish Montreal Cognitive Assessment (MoCA) For Persons With Hearing Impairment
ClinicalTrials.gov study NCT06400173. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Molecular Markers in Cancers and Precancers (MOCA)
ClinicalTrials.gov study NCT05257707. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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.