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Dataset results
17 results for “image search”
Dataset for: Searching for Imaging Biomarkers of Psychotic Dysconnectivity
<p>This dataset contains features used in analyses for the following manuscript:</p> <p>Rodrigue, AL, et al. (2021). Searching for Imaging Biomarkers of Psychotic Dysconnectivity. <em>Biological Psychiatry: Cognitive Neuroscience and Neuroimaging,</em> in press.</p> <p>Contents:</p> <p><br> - 4 Demographic csv files. Each dataset has a csv for covariates of interest- Age, Sex, and Site (BSNIP1 only)<br> site coding: 1=Hartford,CT, 2=Baltimore,MD<br> DIAG coding: SZ=Schizophrenia, SAD=Schizoaffective Disorder, BPP=Bipolar Disorder I with Psychosis, MDD=Major Depressive Disorder with Psychosis,OTH=Other Psychotic Disorder</p> <p>- 16 feature csv files. Each dataset has a .csv for raw and residualized DTI and rsfMRI features<br> ISMMS_DTI_raw_Features.csv<br> Olin_DTI_raw_Features.csv<br> BSNIP1_DTI_raw_Features.csv<br> BSNIP2_DTI_raw_Features.csv<br> ISMMS_rsfMRI_raw_Features.csv<br> Olin_rsfMRI_raw_Features.csv<br> BSNIP1_rsfMRI_raw_Features.csv<br> BSNIP2_rsfMRI_raw_Features.csv</p> <p>Residualized (age, sex, site (BNIP1 only))<br> ISMMS_DTI_res_Features.csv<br> Olin_DTI_res_Features.csv<br> BSNIP1_DTI_res_Features.csv<br> BSNIP2_DTI_res_Features.csv<br> ISMMS_rsfMRI_res_Features.csv<br> Olin_rsfMRI_res_Features.csv<br> BSNIP1_rsfMRI_res_Features.csv<br> BSNIP2_rsfMRI_res_Features.csv</p>
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior
<p>Dataset for our CVPR paper: "ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior".</p> <p> </p> <p>The arxiv paper can be found: https://arxiv.org/abs/2111.15362 </p>
RGB and Thermal Integral Image dataset for Search and Rescue with Airborne Optical Sectioning.
<p>The `Integral Images` folder contains labels and augmented AOS integral images (both RGB and Thermal) used for training, validation and testing (`data`).</p> <p>The integral images are computed using the complete data that were recorded during 18 flights at 6 different sites over 10 different days.</p> <p> </p> <p>The dataset mirrors [YOLO (8GB)](https://zenodo.org/record/3894774/files/YOLO.zip?download=1) (`data`) for integral (`SARAOS/AOS`) images, however, now additionally contain corresponding RGB integral images in addition to corresponding thermal integral images.</p>
Bird predation on Roseau cane scale as revealed by a web image search and querying a citizen monitoring database
<p>NA</p>
The IBEM Dataset: a large printed scientific image dataset for indexing and searching mathematical expressions
<p>The IBEM dataset consists of 600 documents with a total number of 8272 pages, containing 29603 isolated and 137089 embedded Mathematical Expressions (MEs). The objective of the IBEM dataset is to facilitate the indexing and searching of MEs in massive collections of STEM documents. The dataset was built by parsing the LaTeX source files of documents from the <a href="https://www.cs.cornell.edu/projects/kddcup/datasets.html">KDD Cup Collection</a>. Several experiments can be carried out with the IBEM dataset ground-truth (GT): ME detection and extraction, ME recognition, etc.</p> <p> </p> <p>The dataset consists of the following files:</p> <ul> <li>“IBEM.json”: file containing the IBEM GT information. The data is firstly organized by pages, then by the type of expression (“embedded” or “displayed”), and lastly by the GT of each individual ME. For each ME we provide: <ul> <li>xy page-level coordinates, reported as relative (%) to the width/height of the page image.</li> <li>“split” attribute indicating the number of fragments in which the ME has been split. MEs can be split over various lines, columns or pages. The LaTeX transcript of split MEs have been exactly replicated (entire LaTeX definition) for each fragment.</li> <li>“latex” original transcript as extracted from the LaTeX source files of the documents. This definition can contain user-defined macros. In order to be able to compile these expressions, each page includes the preamble of the source files containing the defined macros and the packages used by the authors of the documents.</li> <li>“latex_expand” transcript reconstructed from the output stream of the LuaLaTeX engine in which user-defined macros have been expanded. The transcript has the same visual representation as the original transcript, with the addition that the LaTeX definitions are tokenized, the order of sub/super script elements have been fixed, and matrices have been transformed to arrays.</li> <li>“latex_norm” transcript resulting from applying an extra normalization process to the “latex_expand” expression. This normalization process includes removing font information such as slant, style, and weight.</li> </ul> </li> <li>“partitions/*.lst”: files containing list of pages forming the partition sets.</li> <li>“pages/*.jpg”: individual pages extracted from the documents.</li> </ul> <p>The dataset is partitioned into various sets as provided for the ICDAR 2021 Competition on Mathematical Formula Detection. The ground-truth related to this competition, which is included in this dataset version, can also be found <a href="https://zenodo.org/record/4757865">here</a>. More information about the competition can be found in the following paper:</p> <p>D. Anitei, J.A. Sánchez, J.M. Fuentes, R. Paredes, and J.M. Benedí. ICDAR 2021 Competition on Mathematical Formula Detection. In ICDAR, pages 783–795, 2021.</p> <p> </p> <p>For ME recognition tasks, we recommend rendering the “latex_expand” version of the formulae in order to create standalone expressions that have the same visual representation as MEs found in the original documents (see attached python script “extract_GT.py”). Extracting MEs from the documents based on coordinates is more complex, as special care is needed to concatenate the fragments of split expressions. Baseline results for ME recognition tasks will soon be made available.</p>
SubDiv17: A Dataset for Investigating Subjectivity in the Visual Diversification of Image Search Results
<p>This dataset facilitates the comparison of approaches aiming at the diversification of image search results. The dataset was explicitly designed for general-purpose, multi-topic queries and provides multiple ground truth annotations to allow for the exploration of the subjectivity aspect in the general task of diversification. The dataset provides images and their metadata retrieved from Flickr for around 200 complex queries. Additionally, to encourage experimentations (and cooperations) from different communities such as information and multimedia retrieval, a broad range of pre-computed descriptors is provided. The dataset was successfully validated during the MediaEval 2017 Retrieving Diverse Social Images task using 29 submitted runs. For more information, please see <a href="https://doi.org/10.1145/3204949.3208122">https://doi.org/10.1145/3204949.3208122</a>.</p>
Search strategies for generic justification for a slot scanning, biplanar X-ray imaging system (EOS™ imaging system) for the diagnosis and assessment of orthopaedic conditions.
<p>The dataset includes the complete, reproducible search strategies for all literature databases searched during this project. The search strategies address the following research questions:</p> <p>RQ 1 To determine the test accuracy, clinical benefits and safety of slot scanning devices (EOS system) compared to conventional X-ray imaging for diagnosis of scoliosis and evaluation or monitoring of scoliosis patients.</p> <p>RQ 2 To determine the test accuracy, clinical benefits and safety of slot scanning devices (EOS system) compared to current practice for evaluation, monitoring or diagnosis of patients with other known or suspected orthopaedic conditions.</p>
Data from: Bird predation on Roseau cane scale as revealed by a web image search and querying a citizen monitoring database
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Data from: The evolution of colour polymorphism in British winter‐active Lepidoptera in response to search image use by avian predators
Phenotypic polymorphism in cryptic species is widespread. This may evolve in response to search image use by predators exerting negative frequency‐dependent selection on intraspecific colour morphs, "apostatic selection". Evidence exists to indicate search image formation by predators and apostatic selection operating on wild prey populations, though not to demonstrate search image use directly resulting in apostatic selection. The present study attempted to address this deficiency, using British Lepidoptera active in winter as a model system. It has been proposed that the typically polymorphic wing colouration of these species represents an anti‐search image adaptation against birds. To test (a) for search image driven apostatic selection, dimorphic populations of artificial moth‐like models were established in woodland at varying relative morph frequencies and exposed to predation by natural populations of birds. In addition, to test (b) whether abundance and degree of polymorphism are correlated across British winter‐active moths, as predicted where search image use drives apostatic selection, a series of phylogenetic comparative analyses were conducted. There was a positive relationship between artificial morph frequency and probability of predation, consistent with birds utilising search images and exerting apostatic selection. Abundance and degree of polymorphism were found to be positively correlated across British Lepidoptera active in winter, though not across all taxonomic groups analysed. This evidence is consistent with polymorphism in this group having evolved in response to search image driven apostatic selection and supports the viability of this mechanism as a means by which phenotypic and genetic variation may be maintained in natural populations.
Tests of search image and learning in the wild: insights from sexual conflict in damselflies
<p><a name="_Hlk52373699">Search image formation, a proximal mechanism to maintain genetic polymorphisms by negative frequency-dependent selection, has rarely been tested under natural conditions. Females of many non-territorial damselflies resemble either conspecific males or background vegetation. Mate-searching males are assumed to form search images of the majority female type, sexually harassing it at rates higher than expected from its frequency, thus selectively favoring the less common morph. We tested this and how morph coloration and behavior influenced male perception and intersexual encounters by following marked <i>Ischnura elegans</i> and noting their reactions<i> </i>to conspecifics. Contrary to search image formation and associative learning hypotheses, although males </a>encountered the minority, male-like morph more often, sexual harassment and clutch size were similar for both morphs. Prior mating attempts or copulas with morphs did not affect a male's subsequent reaction to them; males rarely attempted matings with immature females or males. Females mated early in the day, reducing the opportunity for males to learn their identity beforehand. Once encountered, the male-like morph was more readily noticed by males than the alternative morph, which, once noticed was more likely to receive mating attempts. Flexible behavior gave morphs considerable control over their apparency to males, influencing intersexual encounters. Results suggested a more subtle proximal mechanism than male learning maintains these color polymorphisms and call for inferences of learning to be validated by behavior of wild receivers and their signalers.</p>
Data from: The evolution of colour polymorphism in British winter‐active Lepidoptera in response to search image use by avian predators
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Tests of search image and learning in the wild: insights from sexual conflict in damselflies
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Live cell imaging reveals the trade-off between target search flexibility and efficiency for Cas9 and Cas12a
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Pulsars detected in the GP survey in both imaging and beamforming searches.
<p><span>S</span><span>I</span><span> </span><span>is the mean flux density of the pulsars </span><span>in Stokes I image from this work, S</span><span>V</span><span> </span><span>is the Stokes V for the pulsars that were </span><span>detected in Stokes V image in this work and S</span><span>lit</span><span> </span><span>is the low-frequency flux density </span><span>available in the literature: ’M’ stands for MWA-image detection by Murphy et al.</span><span>(2017), ’X’ stands for MWA-incoherent beam detection by Xue et al. (2017), ’S’ </span><span>stands for MWA SMART survey detections by Bhat et al. (2023b) and ’K’ stands </span><span>for LOFAR detection by Kondratiev et al. (2016).</span><span> </span><span>α</span><span> </span><span>is the spectral index of the </span><span>pulsars.</span><span> </span><span>α</span><span> </span><span>is calculated using the flux densities of the pulsars in MWA Stokes I </span><span>image (154 MHz) and the RACS Stokes I image (888 MHz).</span></p>
Ultra-resolution, multiscale live imaging reveals TADs as domains of cohesin-accelerated search
GEO Series GSE289566. Mus musculus. 13 samples. Type: Expression profiling by high throughput sequencing.
PET / CT With 18F-FDG: Does it Optimize the I 123-MIBG Imaging Results in the Search for Discriminating Factors for the Implementation of an Implantable Defibrillator?
ClinicalTrials.gov study NCT01258283. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Searching for Predictive Biomarkers of Efficacy in Small Cell Lung Cancer Patients Treated With Chemotherapy-immunotherapy Combination Using Imaging Mass Cytometry (HYPE)
ClinicalTrials.gov study NCT06558903. IPD Sharing: YES. Countries: 1. Publications: 0.
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.