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236
datasets available to search
ShareScore release 0.7.1
Dataset results
236 results for “Modeling Methods”
A novel aCGH method for non-model organisms for assessing genomes and de-novo transcriptome sequencing reads
GEO Series GSE52122. Danio rerio; Staphylococcus aureus. 45 samples. Type: Genome variation profiling by genome tiling array; Genome variation profiling by array.
A novel aCGH method for non-model organisms for assessing genomes and de-novo transcriptome sequencing reads (Danio rerio)
GEO Series GSE52121. Danio rerio. 12 samples. Type: Genome variation profiling by array.
A novel aCGH method for non-model organisms for assessing genomes and de-novo transcriptome sequencing reads (Staphylococcus aureus)
GEO Series GSE51148. Staphylococcus aureus. 33 samples. Type: Genome variation profiling by genome tiling array.
Comparison of Six Different Machine Learning Methods With Traditional Model for Low Anterior Resection Syndrome After Minimally Invasive Surgery for Rectal Cancer -- Development and External Validatio
ClinicalTrials.gov study NCT07267767. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Prediction Model of the Blood Pressure Response to the Administration of Fluids in Abdominal Surgery Using the Pram Method.
ClinicalTrials.gov study NCT04594174. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Coupon model for novel rotating-disc rheometry method
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An optimized method for high-quality RNA extraction from distinctive intrinsic laryngeal muscles in the rat model
GEO Series GSE217027. Rattus norvegicus. 90 samples. Type: Expression profiling by high throughput sequencing.
UTDRM: unsupervised method for training debunked-narrative retrieval models (Dataset)
<p>The repository contains T5 and ChatGPT generated claims for the paper "<strong>UTDRM: Unsupervised Method for Training Debunked-Narrative Retrieval Models</strong>" (EPJ Data Science Journal).</p> <p>The synthetically generated false claims dataset is solely for evaluation purposes and will only be made available to academic researchers following careful vetting and a signed contract, in order to prevent public harm or the spread of misinformation.</p> <p><strong>Paper link</strong>:</p> <p><a href="https://link.springer.com/article/10.1140/epjds/s13688-023-00437-y" target="_blank" rel="noopener">https://link.springer.com/article/10.1140/epjds/s13688-023-00437-y</a></p> <p><strong>Model links</strong>:</p> <p><a href="https://huggingface.co/iknoor/UTDRM-MPNet">https://huggingface.co/iknoor/UTDRM-MPNet</a> </p> <p><a href="https://huggingface.co/iknoor/UTDRM-RoBERTa">https://huggingface.co/iknoor/UTDRM-RoBERTa</a></p> <p><strong>Please use the following reference if you use the dataset or models:</strong></p> <pre><code>@article{singh2023utdrm, title={UTDRM: unsupervised method for training debunked-narrative retrieval models}, author={Singh, Iknoor and Scarton, Carolina and Bontcheva, Kalina}, journal={EPJ Data Science}, volume={12}, number={1}, pages={59}, year={2023}, publisher={Springer Berlin Heidelberg} }</code></pre>
A spatial transcriptomics based Label-free Method for Assessment of Human Stem Cell Distribution and Effects in a Mouse Model of Lung Fibrosis
GEO Series GSE253378. Homo sapiens; Mus musculus. 5 samples. Type: Other.
Malware dataset from VirusShare used in article "DeepDetectNet vs RLAttackNet: An Adversarial Method to Improve Deep Learning-based Static Malware Detection Model"
<p>This repository contains all malicious samples used in article "DeepDetectNet vs RLAttackNet: An Adversarial Method to Improve Deep Learning-based Static Malware Detection Model". It is safe to download these samples <strong>without </strong>running them. Please note that when downloading these samples, <strong>close all </strong>anti-virus software, including Windows Defender.</p>
[OUTDATED] Data set [ref. paper "Predictive modeling of drivers' brake reaction time through machine learning methods"]
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Dataset for 'Comparison of approximate methods for modelling coherence scanning interferometry'
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Dataset for 'Comparison of Fourier optics-based methods for modeling coherence scanning interferometry'
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Complementary Data of Groundwater model for the Publication: "Comparison of methods to calculate groundwater recharge for karst aquifers under Mediterranean climate"
<p>This repository provides the resources related to the publication "Comparison of methods to calculate groundwater recharge for karst aquifers under Mediterranean climate." It includes the groundwater model data sets.</p>
Quantitative modeling method for geolocating pollen samples
<p>Pollen producing plants are present on every continent and the taxa of these plans can be distinguished based on the pollen grains. As a pollen assemblage can only come from a vegetation that produces the pollen types in that assemblage, pollen can give an indication of vegetation composition. Knowing the assemblage that produced a specific sample can be used to determine the origins of pollen on objects of interest such as footwear, drugs and poached goods. Most studies that used forensic palynology for geolocation were qualitative analyses of regions with low biodiversity. None are studies on a continental scale that involve the tropics. There is a need for objective qualitative forensic methods, which are expected to be effective and efficient with both high and low biodiversity regions.</p> <p>In this study a qualitative modeling method was developed using pollen samples from 705 neotropical sites and tested on pollen samples from 55 European sites. These samples came from pollen traps, soil samples, mud water interfaces of lakes and rivers, and moss samples. Ensemble species distribution models based on presence data were run for all genera present in these samples. The predicted range of all genera present in each individual sample were combined to produce a predicted range of origin of the site. A rate of 89.9% of all Neotropical sites was correctly predicted. The highest accuracy was achieved with samples from pollen traps, which were correct in 96.2% of cases. The results of European and Neotropical sites of the same sample origin were comparable. The results indicate that qualitative analysis can be accurate and efficient in the tropics at a continental scale.</p> <p>This file contains all used data and R scripts. With the contents the results can be recreated. Instructions on use are enclosed</p>
Complementary Data and Model Repository for the Publication: "Comparison of methods to calculate groundwater recharge for karst aquifers under Mediterranean climate"
<p>This repository provides the resources related to the publication "Comparison of methods to calculate groundwater recharge for karst aquifers under Mediterranean climate." It includes the data sets used in the study, the SWAT model and python script for evaluation of the different methods compared in this study.</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.