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.
1,393
datasets available to search
ShareScore release 0.9.0
Dataset results
1,393 results for “traces”
Online appendix for "Leveraging Execution Trace with ChatGPT: A Case Study on Automated Fault Diagnosis" (New Ideas and Emerging Results Track in ICSME 2023)
<p>All the prompts we prepared for ChatGPT and the fault diagnosis results</p> <ul> <li>prompt_*: Prompt for ChatGPT <ul> <li>prompt_ChatGPT_setup_*.txt: Prompts to setup ChatGPT before starting the question to ChatGPT</li> <li>The other prompts: Prompts input to ChatGPT for fault diagnosis</li> </ul> </li> <li>result_*: Response from ChatGPT</li> <li>without_trace: Prompt or result when execution trace is not entered in ChatGPT</li> <li>with_trace: Prompt or result when execution trace is entered in ChatGPT</li> </ul>
NEATmap: a high-efficiency deep learning approach for whole mouse brain neuronal activity trace mapping
<p>Here are some demo datasets for validating the NEATmap pipeline for high-efficiency whole brain c-Fos<sup>+</sup> cell automated segmentation and quantitative analysis, including:</p> <ol> <li>BrainImage_group.zip.001-007: Validation of NEATmap for automated segmentation and quantitative analysis of mouse whole-brain c-Fos activity images (in Forced Swimming Test).</li> <li>Segmentation_result.zip: Figure 1a, Supplementary Videos 1 and 2 show dual-channel brain slices and segmentation results. They can be merged using Imaris to validate the segmentation results of NEATmap.</li> <li>RawImage_example.zip: High-resolution 3D images of mouse brain slices showing c-Fos<sup>+</sup> cells in Figure 1e.</li> </ol> <p>Due to the total size of the mouse whole-brain image datasets (both raw and processed) included in all the tests exceeding 10 Terabytes, uploading it to a public data repository is impractical. In this work, we provide a dataset of dual-channel (c-Fos<sup>+</sup> channel and autofluorescence channel in forced swimming test experimental group) whole-brain images of mouse for the validation of NEATmap automated segmentation method.</p>
Dataset for Paper "An Event Model for Trace-Based Performance Analysis of MPI Partitioned Point-to-Point Communication"
<p>Test cases, measurement and processing scripts, and measurement data for the referenced paper. </p>
Gestion des traces numériques laissées après la mort des utilisateurs - Annexes
<p>Annexes réalisées dans le cadre du travail de Bachelor "Gestion des traces numériques laissées après la mort des utilisateurs" par Venissia Le Sommer, 2023.</p>
Dataset: "GW190521: tracing imprints of spin-precession on the most massive black hole binary"
<p>This dataset contains the results presented in "<em>GW190521: tracing imprints of spin-precession on the most massive black hole binary</em>": <a href="https://arxiv.org/abs/2310.01544">https://arxiv.org/abs/2310.01544</a>.</p> <p>The accompanying repository used to take this data and generate the figures in the paper can be found at <a href="https://github.com/simonajmiller/gw190521-timedomain-release/">https://github.com/simonajmiller/gw190521-timedomain-release/</a>.</p>
Ray-tracing data for "Propagation of very oblique chorus waves near a plasmaspheric plume boundary"
<p>The dataset consists of ray-tracing results, background density models, and the figure codes for the manuscript "Propagation of very oblique chorus waves near a plasmaspheric plume boundary". The dataset and codes are in Matlab.</p>
Wildfire Information and Trace Gas Enhancement Ratios
<p>Wildfire Information, FRP statistics, TROPOMI ∆NO2/∆CO, and TROPOMI ∆HCHO/∆CO from "Analyzing the Impact of Evolving Combustion Conditions on the Composition of Wildfire Emissions Using Satellite Data"</p>
Data for: Simultaneous subset tracing and miRNA profiling of tumor-derived exosomes via dual-surface-protein orthogonal barcoding
<p><span>The clinical potential of miRNA-based liquid biopsy has been largely limited by the heterogeneous sources in plasma and tedious assay processes. </span><span>Here we develop a precise and robust one-pot assay called dual-surface-protein</span><span>-guided</span><span> orthogonal recognition of tumor-derived exosomes and in-situ profiling of microRNAs (SORTER) to detect tumor-derived exosomal miRNAs and enhance the diagnostic accuracy of prostate cancer (PCa). The SORTER utilizes two allosteric aptamers against exosomal marker CD63 and tumor marker EpCAM to create an orthogonal labeling barcode and achieve selective sorting of tumor-specific exosome subtypes. Furthermore, the labeled barcode on tumor-derived exosomes initiated targeted membrane fusion with liposome probes to import miRNA detection reagents, enabling in-situ sensitive profiling of tumor-derived exosomal miRNAs. With a signature of six miRNAs, SORTER differentiated PCa and benign prostatic hyperplasia with an accuracy of 100%. Notably, the diagnostic accuracy reached 90.6% in the classification of metastatic and non-metastatic PCa. We envision that the SORTER will promote the clinical adaptability of miRNA-based liquid biopsy.</span></p>
Supplemental dataset 1 for: Ediacaran palaeobiology and biostratigraphy of the Nama Group, Namibia, with emphasis on the erniettomorphs, tubular and trace fossils, and a new sponge, Arimasia germsi gen. et sp. nov.
<p class="MsoNormal">Ediacaran fossils, obtained in stratigraphic context in 1993, 1995 and 1996, with the assistance of A. Seilacher, IGCP project 320 scientists and the Geological Survey of Namibia, are described for the first time. Most are from the Kliphoek and Buchholzbrunn members of the Dabis Formation and the Huns and Spitskop members of the Urusis Formation, Witputs subbasin, but a significant number, including <em>Pteridinium</em>, are from the Kliphoek Member, Zaris Formation and the Neiderhagen Member, Nudaus Formation north of the Osis arch, which separates the two subbasins. We extend the stratigraphic ranges and geographic distributions of several important taxa, including <em>Archaeichnium</em>, <em>Ernietta</em>, <em>Pteridinium</em> and <em>Swartpuntia</em>, provide reassessments of the paleobiology of these and other organisms, and describe a new sponge—possibly an unmineralized archaeocyath—<em>Arimasia germsi</em> gen. et sp. nov. We also describe and illustrate various ichnofossils, including the oldest known traces from the Nama Group, narrow down the first appearance of <em>Treptichnus</em> in the Nama succession, and reinforce the idea that there was a prolific infauna of micrometazoans during the latest Ediacaran by naming and describing previously reported microburrows found on the surfaces of gutter casts as <em>Ariichnus vagus</em> igen. et isp. nov.</p>
Data and model code from: Tracing growth patterns in cod (Gadus morhua L.) using bioenergetic modelling
<p><span>Understanding individual growth in commercially exploited fish populations is key to successful stock assessment and informed ecosystem-based fisheries management. Traditionally, growth rates in marine fish are estimated using otolith age-reading in combination with age-length relationships from field samples, or tag-recapture field experiments. However, for some species, otolith-based approaches have been proven unreliable, and tag-recapture experiments suffer from high working effort and costs as well as low recapture rates. An important alternative approach for estimating fish growth is represented by bioenergetic modelling, which, in addition to pure growth estimation, can provide valuable insights into the processes leading to temporal growth changes resulting from environmental and related behavioural changes. We here developed an individual-based bioenergetic model for Western Baltic cod (<em>Gadus</em> <em>morhua</em>), traditionally a commercially important fish species that however collapsed recently and likely suffers from climate change effects. Western Baltic cod is an ideal case study for bioenergetic modelling because of recently gained in-situ process knowledge on spatial distribution and feeding behaviour based on highly resolved data on stomachs and fish distribution. Additionally, physiological processes such as gastric evacuation, consumption, net-conversion efficiency, and metabolic rates have been well studied for cod in laboratory experiments. Our model reliably reproduced seasonal growth patterns observed in the field. </span><span>Importantly, our bioenergetic modelling approach implementing depth-use patterns and food intake allowed us to explain the potentially detrimental effect summer heat periods have on growth of Western Baltic cod that likely will increasingly occur in the future. Hence our model simulations highlighted a potential mechanism of how warming due to climate change affects the growth of a key species that may apply for similar environments elsewhere. </span></p> <p><span>Here we provide access to the individual-based bioenergetic growth model which is set up to model the growth of cod in ages 2 to 4 (<em>Gadus</em> <em>morhua</em> L.) in the Belt Sea (western part of the Western Baltic Sea) on a daily basis within one year. The model incorporates contemporary in-situ process knowledge on food intake and seasonal- and temperate-related spatial distribution of cod and allows us to identify seasonal growth patterns. The model is written in the statistical and programming environment R.<br></span></p>
All-atom models of SU10 and P68 viral genomes. Supplementary to the "Are kuravirus capsid diameters quantized? The first all-atom genome tracing method for double-stranded DNA viruses".
<p>The dataset contains mmCIF formatted all-atom models of SU10 and P68 viral genomes and the python script used for refinement of the initial MMB-generated coordinates.</p>
Accuracy and Reliability of Artificial Intelligence Cephalometric Analysis Software Compared to Manual Tracing
ClinicalTrials.gov study NCT07246018. IPD Sharing: NO. Countries: 1. Publications: 3.
Kharituwe TB Contact Tracing Study
ClinicalTrials.gov study NCT04520113. IPD Sharing: NO. Countries: 1. Publications: 3.
Oxygen for Intrauterine Resuscitation of Category II Fetal Heart Tracings
ClinicalTrials.gov study NCT02741284. IPD Sharing: Not stated. Countries: 1. Publications: 17.
Genomic data for Tracing SARS-CoV-2 clusters across local scales: Greater Houston, January–October 2021
Open the record for dataset details and reuse information.
Execution trace data from: Cross-boundary mobile tracking: exploring Java-to-JavaScript information diffusion in WebViews
Open the record for dataset details and reuse information.
Tracing stratospheric transport using sub-annual plutonium-239 fallout in polar ice cores
Open the record for dataset details and reuse information.
Interfering with a memory without erasing its trace
Open the record for dataset details and reuse information.
Data for: Simultaneous subset tracing and miRNA profiling of tumor-derived exosomes via dual-surface-protein orthogonal barcoding
Open the record for dataset details and reuse information.
Data from: Stability of environmental DNA methylation and its utility in tracing spawning of fish
Open the record for dataset details and reuse information.
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.