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Dataset results
59 results for “Image sensing”
Cross-Scene Hyperspectral Remote Sensing Wetland image data
<p>Two representative study areas in China, i.e., Yancheng and Huanghekou (i.e, Yellow River Estuary) wetlands, are selected.<br> For Yancheng wetland, there are two HSIs acquired by the Advanced Hyperspectral Imager (AHSI) aboard on China's Ziyuan1-02D (ZY1-02D) and GaoFen-5 (GF-5) satellites, respectively. For Huanghekou wetland, there are also two HSIs acquired by the AHSI aboard on China's ZY1-02D satellite in June 28, 2020 and September 29, 2021, respectively.</p>
Ultrasound Imaging Based Sensing of Human Ankle Motion Intent and Control Strategies for Ankle Assistance
ClinicalTrials.gov study NCT05249595. IPD Sharing: NO. Countries: 1. Publications: 4.
Functional Magnetic Resonance Imaging of Human Hypothalamic Responses to Oral Temperature and Glucose Sensing
ClinicalTrials.gov study NCT03181217. IPD Sharing: NO. Countries: 1. Publications: 1.
Sensing and Imaging Dataset for Ground-based Adaptive Optics (SIDGAO)
<p>our synthetic Sensing and Imaging Dataset for Ground-based Adaptive Optics.</p> <p>This Project is Partially Supported by the National Natural Science Foundation of China(No.62005221) and the State Key Laboratory of Applied Optics(No.SKLAO2021001A04).</p>
Data from: Nitrogen and chlorine co-doped carbon dots as probe for sensing and imaging in biological samples
A facile one step hydrothermal synthesis approach was proposed to prepare nitrogen and chlorine co-doped carbon dots using l-ornithine hydrochloride as the sole precursor. The configuration and component of carbon dots were characterized by TEM, XPS, and FTIR. The obtained CDs (Orn-CDs) with a mean diameter of 2.1 nm were well monodispersed in aqueous solutions. The as-prepared CDs exhibited a bright blue fluorescence with a high yield of 60%, good photostability and low cytotoxicity. The emission of Orn-CDs could be selectively and effectively suppressed by Fe3+. Thus, a quantitative assay of Fe3+ was realized by this nanoprobe with a detection limit of 95.6 nmol L-1 in the range of 0.3-50 µmol L-1. Furthermore, ascorbic acid could recover the fluorescence of Orn-CDs suppressed by Fe3+, owing to the transformation of Fe3+ to Fe2+ by ascorbic acid. The limit of detection for ascorbic acid was 137 nmol L-1 in the range of 0.5-10 µmol L-1. In addition, the established method was successfully applied for Fe3+ and ascorbic acid sensing in human serum and urine specimans and for imaging of Fe3+ in living cells. With merits of low economic cost, easy to scale up, without additional functionalized and sample pretreatment, Orn-CDs based sensing platform showed its potential to be used for biomedical related study.
Remote sensing image classification dataset
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Dipper Throated Optimization with Deep Convolutional Neural Network-based Crop Classification on Remote Sensing Image Analysis
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Dataset for "Deep Learning with remote sensing data for image segmentation: example of rice crop mapping using Sentinel-2 images"
<p>Dataset for "Deep Learning with remote sensing data for image segmentation: example of rice crop mapping using Sentinel-2 images". </p> <p> </p> <p>image_prediction_pt1 and _pt2 have the same content as image_prediction.zip but split in two parts for faster downloading with Google Colab (to avoid time out)</p> <p> </p> <p>Contact</p> <p>Ricardo Dalagnol</p> <p>ricds@hotmail.com</p>
Boston & Corniolo Datasets - road segmentation - described in "An Enhanced Loss Function for Semantic Road Segmentation in Remote Sensing Images""
<p>In Corniolo.rar the masks (values {0,1}) are saved in the png files</p>
Data from: Towards a framework for agent-based image analysis of remote-sensing data
Object-based image analysis (OBIA) as a paradigm for analysing remotely sensed image data has in many cases led to spatially and thematically improved classification results in comparison to pixel-based approaches. Nevertheless, robust and transferable object-based solutions for automated image analysis capable of analysing sets of images or even large image archives without any human interaction are still rare. A major reason for this lack of robustness and transferability is the high complexity of image contents: Especially in very high resolution (VHR) remote-sensing data with varying imaging conditions or sensor characteristics, the variability of the objects' properties in these varying images is hardly predictable. The work described in this article builds on so-called rule sets. While earlier work has demonstrated that OBIA rule sets bear a high potential of transferability, they need to be adapted manually, or classification results need to be adjusted manually in a post-processing step. In order to automate these adaptation and adjustment procedures, we investigate the coupling, extension and integration of OBIA with the agent-based paradigm, which is exhaustively investigated in software engineering. The aims of such integration are (a) autonomously adapting rule sets and (b) image objects that can adopt and adjust themselves according to different imaging conditions and sensor characteristics. This article focuses on self-adapting image objects and therefore introduces a framework for agent-based image analysis (ABIA).
Blurred remote sensing image detection 1.0
<p>This is an open dataset for blurred remote sensing image detection.</p>
Abbreviated Breast MRI (AB-MRI) With Golden-angle Radial Compressed-sensing and Parallel Imaging (GRASP)
ClinicalTrials.gov study NCT03927768. IPD Sharing: YES. Countries: 1. Publications: 0.
Data from: Nitrogen and chlorine co-doped carbon dots as probe for sensing and imaging in biological samples
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Data from: Towards a framework for agent-based image analysis of remote-sensing data
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MULTI-TEMPORAL REMOTE SENSING IMAGE CLASSIFICATION - A MULTI-VIEW APPROACH
MULTI-TEMPORAL REMOTE SENSING IMAGE CLASSIFICATION - A MULTI-VIEW APPROACH VARUN CHANDOLA* AND RANGA RAJU VATSAVAI* Abstract. Multispectral remote sensing images have been widely used for automated land use and land cover classification tasks. Often thematic classification is done using single date image, however in many instances a single date image is not informative enough to distinguish between different land cover types. In this paper we show how one can use multiple images, collected at different times of year (for example, during crop growing season), to learn a better classifier. We propose two approaches, an ensemble of classifiers approach and a co-training based approach, and show how both of these methods outperform a straightforward stacked vector approach often used in multi-temporal image classification. Additionally, the co-training based method addresses the challenge of limited labeled training data in supervised classification, as this classification scheme utilizes a large number of unlabeled samples (which comes for free) in conjunction with a small set of labeled training data.
Multi-source optical remote sensing image of ISW
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Dataset to submitted manuscript "Imaging Fluorescence Blinking of a Mitochondrial Localization Probe – a Strategy Combining Site-Specificity with Multi-Parametric Sensing of Cellular Microenvironments"
<p><strong>This folder contains all raw data underlying the results presented in a manuscript, submitted to <em>Small</em></strong><strong>, and entitled:</strong></p> <p> </p> <p><strong><em>Imaging Fluorescence Blinking of a Mitochondrial Localization Probe – a Strategy Combining Site-Specificity with Multi-Parametric Sensing of Cellular Microenvironments</em></strong></p> <p> </p> <p><strong>Authored by:</strong></p> <p>Zhixue Du<sup>a</sup><em>, </em>Joachim Piguet<sup>a,+</sup>, Gleb Baryshnikov<sup>b,+</sup>, Johan Tornmalm<sup>a</sup>, Baris Demirbay<sup>a</sup>, Hans Ågren<sup>b</sup>, Jerker Widengren<sup>a,*</sup></p> <p> </p> <p><sup>a</sup> Royal Institute of Technology (KTH), Experimental Biomolecular Physics, Dept. Applied Physics, Albanova Univ Center 106 91 Stockholm, Sweden</p> <p><sup>b</sup> Royal Institute of Technology (KTH), Dept Theroretical Chemistry and Biology, Albanova Univ Center 106 91 Stockholm, Sweden</p> <p><sup>+</sup> Contributed equally</p> <p>* Corresponding author: Email: <a href="mailto:jwideng@kth.se">jwideng@kth.se</a>, Phone: +46-8-7907813</p> <p> </p> <p><strong>The data files are grouped into the different techniques used to generate them, and refer to the figures/tables in the manuscript where the extracted results are presented. </strong></p> <p> </p> <p><strong>ABSTRACT</strong></p> <p>The local microenvironment of mitochondrial membranes directly influences cellular metabolic states but are difficult to follow locally. Here, we demonstrate a robust and straightforward strategy, transforming the widely used mitochondrial membrane localization fluorophore 10-Nonyl Acridine Orange (NAO) into a multi-functional probe of membrane microenvironments. By monitoring the blinking kinetics of NAO in small unilamellar vesicles, and by computational simulations, we found that NAO exhibits prominent reversible singlet-triplet state transitions and can act as a light-induced Lewis acid forming a red-emissive doublet radical. The resulting blinking kinetics are highly environment sensitive, specifically reflecting local membrane oxygen concentrations, redox conditions, membrane charge, fluidity and lipid compositions, and can also be imaged in live cells, in a spatially resolved manner. They also reflect hydroxyl ion dependent transitions to and from the fluorophore doublet radical, closely coupled to proton transfer events in the membranes, local pH, and two- and three-dimensional buffering properties on and above the membranes. Generally, by the demonstrated blinking imaging strategy existing fluorophore markers can be transformed into multi-parametric microenvironmental sensors. The strategy makes it possible to image local cellular conditions highly relevant to cancer, metabolic and infectious diseases, thereby providing a basis for cellular diagnostics and for fundamental membrane studies.</p>
Dataset to submitted manuscript "Imaging the blinking properties of a mitochondrial fluorophore marker turns it into a multi-functional sensing probe"
<p><strong>This folder contains all raw data underlying the results presented in a manuscript, submitted to Light: Science & Applications, and entitled:</strong></p> <p> </p> <p><strong><em>Imaging the blinking properties of a mitochondrial fluorophore marker turns it into a multi-functional sensing probe</em></strong></p> <p> </p> <p><strong>Authored by:</strong></p> <p>Zhixue Du<sup>a</sup><em>, </em>Joachim Piguet<sup>a,+</sup>, Gleb Baryshnikov<sup>b,+</sup>, Johan Tornmalm<sup>a</sup>, Baris Demirbay<sup>a</sup>, Hans Ågren<sup>b</sup>, Jerker Widengren<sup>a,*</sup></p> <p> </p> <p><sup>a</sup> Royal Institute of Technology (KTH), Experimental Biomolecular Physics, Dept. Applied Physics, Albanova Univ Center 106 91 Stockholm, Sweden</p> <p><sup>b</sup> Royal Institute of Technology (KTH), Dept Theroretical Chemistry and Biology, Albanova Univ Center 106 91 Stockholm, Sweden</p> <p><sup>+</sup> Contributed equally</p> <p>* Corresponding author: Email: <a href="mailto:jwideng@kth.se">jwideng@kth.se</a>, Phone: +46-8-7907813</p> <p> </p> <p><strong>The data files are grouped into the different techniques used to generate them, and refer to the figures/tables in the manuscript where the extracted results are presented. </strong></p> <p> </p> <p><strong>ABSTRACT</strong></p> <p>By transient state (TRAST) measurements, monitoring the average fluorescence intensity upon excitation modulation, we show that the mitochondrial localization fluorophore 10-Nonyl Acridine Orange (NAO) exhibits prominent singlet-triplet state transitions and can act as a light-induced Lewis acid forming a red-emissive doublet radical. The blinking properties resulting from these transitions can be monitored in a broadly applicable manner, and under biologically relevant conditions. By TRAST studies of NAO in small unilamellar vesicles (SUVs) we show that these blinking properties are highly environment sensitive, specifically reflecting local oxygen concentrations, redox conditions, membrane charge, fluidity and lipid compositions. In SUVs containing the phospholipid cardiolipin (CL) the NAO blinking properties depend not only on the concentration of the CL added, but also on the CL acyl chain composition. The blinking also reflects hydroxyl ion dependent transitions to and from the NAO doublet radical. This makes it possible to monitor local pH and buffering properties, from a 3D bulk buffer above the membrane, or from a 2D buffer at the membrane surface itself. Finally, by live cell TRAST imaging, we show that the fluorescence blinking properties of NAO can also be imaged in a spatially resolved manner, and that this commercially available location-specific fluorophore thereby can be turned into a multi-parametric intracellular sensing probe. This study demonstrates new possibilities for fundamental membrane studies in artificial vesicles and live cells, using existing fluorophore markers, monitoring parameters and conditions of large biological relevance, which are difficult to retrieve by other means.</p>
Follow-up assessment of intracranial aneurysms treated with endovascular coiling: comparison of compressed sensing and parallel imaging time-of-flight magnetic resonance angiography
<p>This file contains the data for the paper "Follow-up assessment of intracranial aneurysms treated with endovascular coiling: comparison of compressed sensing and parallel imaging time-of-flight magnetic resonance angiography"</p>
ScienceDex guides
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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.