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87
datasets available to search
ShareScore release 0.9.0
Dataset results
87 results for “Learning Design”
Instructional Design and Implementation for Educational Skills Program Based on Constructivist Learning Approach
ClinicalTrials.gov study NCT06253572. IPD Sharing: NO. Countries: 1. Publications: 3.
Multi-domain Distribution Learning for De Novo Drug Design
<p>Model checkpoints, processed dataset and samples.</p>
Dataset of Learning Designer Roles in Irish Higher Education 2020
<p>Dataset of Learning Designer Roles in Irish Higher Education 2020</p>
Prediction of designer-recombinases for DNA editing with generative deep learning
<p>Sequence data from "Prediction of designer-recombinases for DNA editing with generative deep learning" publication.<br> Tyrosine site-specific recombinase gene sequences with the corresponding target sequences from already published projects. Recombinases were produced with directed evolution and sequenced with PacBio HiFi.</p> <p>The evolution of the recombinases sequences in this dataset were published in the following publications:</p> <ul> <li>https://doi.org/10.1126/science.1141453</li> <li>https://doi.org/10.1038/nbt.3467</li> <li>https://doi.org/10.1093/nar/gkz1078</li> <li>https://doi.org/10.1038/s41467-022-28080-7</li> </ul>
Conceptual Understanding: "What is Studentd Spatial Thinking Design in Geometry Learning?"
<p>Data for Classification indicators of spatial thinking.</p> <p>The change of paradigms in national assessment in 2021 became a particular issue for teachers in improving student competencies. The main issue encountered by teacher is the way to improve student competencies in mathematic learning, especially in geometry. This writing is aimed to outline spatial thinking indicators with six relevant background components of realistic geometry, and to describe students' spatial spatial thinking design to acquire a geometric comprehension by using google sketch-up. The spatial thinking indicators are outluned with six background components of realistic geometry by using explanatory factor analysis (EFA) with JASP software 0.15.0.0. The acquires research results show the correlations between sighting and projecting, orienting and locating, transforming, constructing and drawing, measuring and calculation, and spatial reasoning variables. Spatial thinking indicators are outlined in six component groups of realistic geometry. The results ca be used as the consideration for teachers in identifying students conceptual understanding to support the improvement of student competencies.</p>
Machine learning sequence prioritization for cell type-specific enhancer design
GEO Series GSE171549. Mus musculus. 44 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Design of an unbiased machine learning workflow to predict Multiple Sclerosis staging from blood transcriptome
GEO Series GSE136411. Homo sapiens. 336 samples. Type: Expression profiling by array.
Machine learning-aided design of composite mycotoxin detoxifier material for animal feed
<p>Model codes and dataset associated to "Machine learning-aided design of composite mycotoxin detoxifier material for animal feed, Giulia Lo Dico, Siska Croubels, Verónica Carcelén, and Maciej Haranczyk, Sci. Rep., 2022".</p>
Datasets and supplemental data for 'Deep Learning-based Design and Screening of Benzimidazole-pyrazine derivatives as Adenosine A2B Receptor Antagonists'
<p><strong>This is the original datasets and supplemental data for '<em>Deep Learning-based Design and Screening of Benzimidazole-pyrazine derivatives as Adenosine A2B Receptor Antagonists</em>'.</strong></p> <ul> <li><strong>Training sets.zip: </strong>The training sets to train the generative model (A2B_lower_100nm) & QSAR model.</li> <li><strong>Trained models.zip: </strong>Trained models of the generative algorithm (A2B_60, ChemBL & DRD2)</li> <li><strong>Generated molecules.zip: </strong>All generated molecules of the given scaffolds.</li> <li><strong>Binding modes A2B.zip: </strong>The binding modes of 5 target molecules to A2BAR.</li> <li><strong>Homology model.pdb: </strong>The homology model of A2BAR.</li> </ul>
Are Serious Games Scenarios Specifically Designed for Learning Non Technical Skills More Effective Than Baseline Scenarios in Soft Skills Training
ClinicalTrials.gov study NCT03592953. IPD Sharing: NO. Countries: 1. Publications: 0.
VALEO: A Post Authorization Study, Designed to Learn More About the Safety and Effectiveness of the Use of Bortezomib in the Netherlands
ClinicalTrials.gov study NCT00440765. IPD Sharing: Not stated. Countries: 1. Publications: 0.
PROmyBETAappGame: a Study to Learn More About the Medication Usage & Patient Reported Outcomes Via the myBETAapp and to Find Out More About the Usage of Game Principles and Game Design Elements (Gamif
ClinicalTrials.gov study NCT03808142. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Development of Three-dimensional Deep Learning for Automatic Design of Skull Implants
ClinicalTrials.gov study NCT05603949. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Clinical Study of the Therapeutic Effectiveness of In-silico-Designed, Machine Learning Inspired, and Quantum-molecularly Coupled Personalized Neoantigenic Vaccines Microlyvaq™ in Patients With Advanc
ClinicalTrials.gov study NCT07285434. IPD Sharing: YES. Countries: 1. Publications: 0.
Design, Implementation, and Evaluation of Peer Learning in Teaching Technical Skills to Second-Year Nursing Students. (PL)
ClinicalTrials.gov study NCT07035548. IPD Sharing: NO. Countries: 1. Publications: 0.
Easy-Prime: a machine learning–based prime editor design tool
GEO Series GSE175955. Homo sapiens. 34 samples. Type: Other.
Designing Data-Driven Battery Prognostic Approaches for Variable Loading Profiles: Some Lessons Learned
Among various approaches for implementing prognostic algorithms data-driven algorithms are popular in the industry due to their intuitive nature and relatively fast developmental cycle. However, no matter how easy it may seem, there are several pitfalls that one must watch out for while developing a data-driven prognostic algorithm. One such pitfall is the uncertainty inherent in the system. At each processing step uncertainties get compounded and can grow beyond control in predictions if not carefully managed during the various steps of the algorithms. This paper presents analysis from our preliminary development of data- driven algorithm for predicting end of discharge of Li-ion batteries using constant load experiment data and challenges faced when applying these algorithms to randomized variable loading profile as is the case in realistic applications. Lessons learned during the development phase are presented.
Design and deep learning of synthetic B- cell-specific promoters
GEO Series GSE232161. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
Iterative deep learning-design of human enhancers exploits condensed sequence grammar to achieve cell type-specificity [scRNA-Seq]
GEO Series GSE269037. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing.
Iterative deep learning-design of human enhancers exploits condensed sequence grammar to achieve cell type-specificity [RNA-Seq]
GEO Series GSE269036. Homo sapiens; synthetic construct. 16 samples. Type: Expression profiling by high throughput sequencing; 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.