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.
179
datasets available to search
ShareScore release 0.9.0
Dataset results
179 results for “Classification systems”
MyoSense- Automated Muscle Hypertonicity Classification System
ClinicalTrials.gov study NCT02076581. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Relationship Between Soft Tissue Volume and Gingival Phenotype: a Novel Classification System
ClinicalTrials.gov study NCT06348823. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Evaluation of Functionality of Amputees According to the Medicare Functional K Classification System
ClinicalTrials.gov study NCT06293443. IPD Sharing: NO. Countries: 1. Publications: 0.
Suicide Classification System
ClinicalTrials.gov study NCT01118156. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Clinical Value of an Artificial Intelligence System Using Abbreviated Protocol of Breast MRI Facilitates Classification of Breast Lessions
ClinicalTrials.gov study NCT05892380. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Direct Oral Anticoagulant Assay Detection & Classification Study for the TEG 6S System
ClinicalTrials.gov study NCT02798328. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Accurate Classification System for Patients With COVID-19 Pneumonitis
ClinicalTrials.gov study NCT04302688. IPD Sharing: NO. Countries: 1. Publications: 0.
DNA methylation-based classification of human central nervous system tumors [reference set]
GEO Series GSE90496. Homo sapiens. 2801 samples. Type: Methylation profiling by genome tiling array.
GPM Ground Validation Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks Cloud Classification System (PERSIANN-CCS) IFloodS
The GPM Ground Validation Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks Cloud Classification System (PERSIANN-CCS) IFloodS dataset is a subset from the global 30-minute PERSIANN-CCS files generated in near-real time selected for the time period of the GPM Ground Validation Iowa Flood Studies (IFloodS) field campaign. The main goal of IFloodS were to collect detailed measurements of precipitation at the Earth’s surface using ground instruments and advanced weather radars and to simultaneously collect data from satellites passing overhead. This PERSIANN-CCS data product is available in ASCII and netCDF-4 formats from April 1, 2013 thru July 1, 2013.
Diffuse Large B-Cell Lymphoma Classification System That Associates Normal B-Cell Subset Phenotypes With Prognosis
GEO Series GSE56314. Homo sapiens. 33 samples. Type: Expression profiling by array.
DNA methylation-based classification of human central nervous system tumors
GEO Series GSE109381. Homo sapiens. 3905 samples. Type: Methylation profiling by genome tiling array.
Diffuse Large B-Cell Lymphoma Classification System That Associates Normal B-Cell Subset Phenotypes With Prognosis
GEO Series GSE56315. Homo sapiens. 88 samples. Type: Expression profiling by array.
Establishment of Diagnosis and Classification System for Lung Interstitial and Airway Diseases (LIAD)
ClinicalTrials.gov study NCT06987266. IPD Sharing: NO. Countries: 0. Publications: 0.
A New Classification System for Lymph Nodes in Colon Cancer: The Prognostic Significance of the Anatomical Distribution of Metastatic Lymph Nodes and the Number of Tumor Deposits
ClinicalTrials.gov study NCT07380464. IPD Sharing: NO. Countries: 0. Publications: 0.
Clinical Evaluation of AI-aided Auscultation With Automatic Classification of Respiratory System Sounds
ClinicalTrials.gov study NCT04208360. IPD Sharing: NO. Countries: 0. Publications: 0.
Research Based on IOLMaster700 Cataract Diagnosis and Classification System
ClinicalTrials.gov study NCT07022444. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Diffuse Large B-Cell Lymphoma Classification System That Associates Normal B-Cell Subset Phenotypes With Prognosis
GEO Series GSE56313. Homo sapiens. 55 samples. Type: Expression profiling by array.
GPM Ground Validation Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks Cloud Classification System (PERSIANN-CCS) IFloodS V1
The GPM Ground Validation Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks Cloud Classification System (PERSIANN-CCS) IFloodS dataset is a subset from the global 30-minute PERSIANN-CCS files generated in near-real time selected for the time period of the GPM Ground Validation Iowa Flood Studies (IFloodS) field campaign. The main goal of IFloodS were to collect detailed measurements of precipitation at the Earth’s surface using ground instruments and advanced weather radars and to simultaneously collect data from satellites passing overhead. This PERSIANN-CCS data product is available in ASCII and netCDF-4 formats from April 1, 2013 thru July 1, 2013.
Classification of Aeronautics System Health and Safety Documents
Most complex aerospace systems have many text reports on safety, maintenance, and associated issues. The Aviation Safety Reporting System (ASRS) spans several decades and contains over 700 000 reports. The Aviation Safety Action Plan (ASAP) contains over 12 000 reports from various airlines. Problem categorizations have been developed for both ASRS and ASAP to enable identification of system problems. However, repository volume and complexity make human analysis difficult. Multiple experts are needed, and they often disagree on classifications. Even the same person has classified the same document differently at different times due to evolving experiences. Consistent classification is necessary to support tracking trends in problem categories over time. A decision support system that performs consistent document classification quickly and over large repositories would be useful. We discuss the results of two algorithms we have developed to classify ASRS and ASAP documents. The first is Mariana---a support vector machine (SVM) with simulated annealing, which is used to optimize hyperparameters for the model. The second method is classification built on top of nonnegative matrix factorization (NMF), which attempts to find a model that represents document features that add up in various combinations to form documents. We tested both methods on ASRS and ASAP documents with the latter categorized two different ways. We illustrate the potential of NMF to provide document features that are interpretable and indicative of topics. We also briefly discuss the tool that we have incorporated Mariana into in order to allow human experts to provide feedback on the document categorizations.
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.