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datasets available to search
ShareScore release 0.9.0
Dataset results
34 results for “Domain Adaptation”
From Galaxy Zoo DECaLS to BASS+MzLS: detailed galaxy morphological classification with unsupervised domain adaption
<p>This repository contains the data released in the paper "From Galaxy Zoo DECaLS to BASS+MzLS: Detailed Galaxy Morphological Classification with Unsupervised Domain Adaption".</p> <p>We release detailed galaxy morphological classification in DESI Legacy Imaging Surveys (LIS) DECaLS, BASS, MzLS for m_r<17.77 galaxies and z<0.15.</p> <p>-morphology_GZD.csv contains prediction for DESI LIS DECaLS footprint.</p> <p>-morphology_BMz.csv contains prediction for DESI LIS BASS+MzLS footprint.</p> <p>They include the information about: ra, dec, {question}_{answer}_alpha,{question}_{answer}_prob,{question}_{answer}_var</p> <p>Predictions of the Dirichlet parameter alpha for each galaxy on each feature of each problem, with all the original multiple MC Dropout results, are included to make it easier for you to know all the original predictions.</p>
FedCSIS 2023 Classifying Industrial Sectors with a Domain Adapted Transformer - Datasets and Configuration files
<p>Supplementary material for the FedCSIS 2023 regular paper "Classifying Industrial Sectors from German Textual Data with a Domain Adapted Transformer". We provide the datasets containing raw .csv and .spacy binaries, mapping (i) German Wikipedia Text and (ii) Jobpostings to WZ2008 sectors and divisions. Additionally, spacy model configuration files are provided.</p>
Image-based taxonomic classification of bulk biodiversity samples using deep learning and domain adaptation
Open the record for dataset details and reuse information.
Domain-independent anomalies datasets (adaptions of the MVTec Anomaly Detection dataset)
<p>An adaption of the MVTec Anomaly Detection dataset, presented in the paper <em><a href="https://arxiv.org/abs/2407.02910">Domain-independent detection of known anomalies</a></em></p> <p>The datasets may be used to evaluate approaches on the hybrid task of detecting known anomalies across different, previously unseen objects.</p> <p>The source code for training and testing models on theses datasets can be found at: <a href="https://doi.org/10.5281/zenodo.11924708">https://doi.org/10.5281/zenodo.11924708</a></p>
BALANCE Trial Domain Within the ACT-GLOBAL Adaptive Platform Trial-NCT06352632
ClinicalTrials.gov study NCT07318948. IPD Sharing: NO. Countries: 1. Publications: 0.
IAT-MeVO Trial Domain Within the ACT-GLOBAL Adaptive Platform Trial
ClinicalTrials.gov study NCT07336927. IPD Sharing: NO. Countries: 1. Publications: 0.
Third Enhanced Control of Hypertension and Thrombectomy Stroke Domain Within ACT-GLOBAL Adaptive Platform Trial
ClinicalTrials.gov study NCT06352619. IPD Sharing: YES. Countries: 2. Publications: 0.
Cell type inference in human lung tissue by domain adaptation of single-cell and spatial transcriptomic data
GEO Series GSE172416. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing; Other.
Data from "Cross-Domain Foundation Model Adaptation: Pioneering Computer Vision Models for Geophysical Data Analysis"
<p>This dataset includes the collected geoscientific data of<strong> lunar images, seismic data, and DAS arrays</strong>.</p> <p>It can be used to test the foundation model adaptation in the geophysical domain.</p> <p>Below are some brief desription of the datasets:</p> <p>1) Lunar images for<strong> crater detection<a href="https://moon.bao.ac.cn/">[CAS]</a></strong> : 1000 are used for training and 199 for testing, each with a size of 1022x1022.</p> <p>2) Seismic data for <strong>geobody identification<a href="https://kaggle.com/competitions/tgs-salt-identification-challenge">[TGS]</a></strong> : 3000 are used for training and 1000 for testing, each with a size of 224x224.</p> <p>3) Seismic data for <strong>facies classification<a href="https://www.aicrowd.com/challenges/seismic-facies-identification-challenge">[SEAM]</a></strong> : 250 are used for training and 45 for testing, each with a size of 1006x782.</p> <p>4) Seismic data for <strong>deep fault detection </strong>: 1081 are used for training and 269 for testing, each with a size of 896x896.</p> <p>5) DAS arrays for <strong>seismic event detection<a href="../records/8270895">[Biondi]</a></strong> : 115 are used for training and 28 for testing, each with a size of 512x512.</p> <p><strong>Tips: All the images are “float32” and the labels are "int8".</strong></p> <p>The test code has been published on GitHub: <strong><a href="https://github.com/ProgrammerZXG/Cross-Domain-Foundation-Model-Adaptation/">Cross-Domain-Foundation-Model-Adaptation</a></strong>.</p>
Models and data in support of "EMFEM: a parallel 3D modeling code for frequency-domain electromagnetic method using goal-oriented adaptive finite element method"
<p>These directories contain the model and data files for "EMFEM: a parallel 3D modeling code for frequency-domain electromagnetic method using goal-oriented adaptive finite element method".<br> </p>
REal-time Data Monitoring for Shared Adaptive, Multi-domain and Personalised Prediction and Decision Making for Long-term Pulmonary Care Ecosystems (RE-SAMPLE)
ClinicalTrials.gov study NCT04955080. IPD Sharing: Not stated. Countries: 1. Publications: 0.
ACT-GLOBAL THROMBOLYSIS (ACT-WHEN-001) Domain Within the ACT-GLOBAL Adaptive Platform Trial-NCT06352632
ClinicalTrials.gov study NCT06320431. IPD Sharing: NO. Countries: 2. Publications: 0.
Salinity stress-induced phosphorylation of INDETERMINATE-DOMAIN 4 (IDD4) regulates plant growth adaptation in Arabidopsis
GEO Series GSE242075. Arabidopsis thaliana. 8 samples. Type: Expression profiling by high throughput sequencing.
domain adaptive crater detection
<p>domain adaptive crater detection</p>
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.