fairdataihub/envision-eye-imaging-training-data huggingface dataset:
Supplementary Material for: Ocular Involvement in Disseminated Tuberculosis: A Case of Neuro-retinitis Abstract Introduction: Neuro-retinitis is a rare ocular manifestation of disseminated tuberculosis (TB), often presenting with optic disc swelling and a macular star. Early diagnosis is essential to prevent permanent visual impairment, especially in TB-endemic areas where such presentations may be overlooked. Case Presentation: We report a case of a 38-year-old male who presented with a
Doodleverse/Segmentation Zoo/Seg2Map SegFormer models for CoastTrain/8-class segmentation of RGB 768x768 NAIP images Doodleverse/Segmentation Zoo/Seg2Map SegFormer models for CoastTrain/8-class segmentation of RGB 768x768 NAIP images These Segformer model data are based on Coast Train images and associated labels. https://coasttrain.github.io/CoastTrain/docs/Version%201:%20March%202022/data Models have been created using Segmentation Gym* using the following dataset**:
June 2023 Supplement Images and 4-class labels for semantic segmentation of Sentinel-2 and Landsat RGB, NIR, and SWIR satellite images of coasts (water, whitewater, sediment, other) June 2023 Supplement of Images and 4-class labels for semantic segmentation of Sentinel-2 and Landsat RGB, NIR, and SWIR satellite images of coasts (water, whitewater, sediment, other) Description Supplementary dataset to: Buscombe, Daniel, Goldstein, Evan, Bernier, Julie, Bosse, Stephen, Colacicco,
Data-driven segmentation of cortical calcium dynamics Demixing signals in transcranial videos of neuronal calcium flux across the cerebral hemispheres is a key step before mapping features of cortical organization. Here we demonstrate that independent component analysis can optimally recover neural signal content in widefield recordings of neuronal cortical calcium dynamics captured at a minimum sampling rate of 1.5×106 pixels per one-hundred millisecond frame for seventeen minutes with a
Action to Control Cardiovascular Risk in Diabetes (ACCORD-BioLINCC) **Related Studies** Whole genome and whole exome data is available on a subset of participants with [phs001411](./study.cgi?study_id=phs001411). ECG signal data is available with [phs003562](./study.cgi?study_id=phs003562). **Objectives** The purpose of this study was to determine if intensive glycemic control, multiple lipid management and intensive blood pressure control could prevent major cardiovascular events
Mangrove3D: Terrestrial Laser Scanning Dataset for Coastal Mangrove Forests Mangrove3D is a terrestrial laser scanning (TLS) dataset for 3D point cloud semantic segmentation, collected in spring 2024 on Babeldaob Island, Palau (7°31′49″N, 134°33′53″E). The study sites consist of coastal Rhizophora mangrove stands characterized by dense prop-root systems and multilayered canopies. Data were acquired using a Canopy Biomass LiDAR v2.0 (CBL) system based on a SICK LMS151 scanner (905 nm), mounted
Binary segmentation images for 3D segmentation model training Binary segmentation images for 3D segmentation model training
Supplementary Data Codes Three-dimensional determination of individual carbon atoms Na Yeon Kim1*, Hanfeng Zhong1,2*, Jianhua Zhang3*, Colum M. O’Leary1*, Yuxuan Liao1, Ji Zou4, Haozhi Sha1, Minh Pham1, Weiyi Li1, Yakun Yuan1, Ji-Hoon Park5, Dennis Kim6, Huaidong Jiang3, Jing Kong5, Miaofang Chi7, Jianwei Miao1†, 1Department of Physics and Astronomy and California NanoSystems Institute, University of California, Los Angeles, CA, USA.2Department of Electrical and Computer Engineering,
Custom ACDC test set This is a full, pre-processed dataset containing the specific image crops and segmentation masks generated and used for training and testing in the study titled "Explainable Deep Learning for Cardiac MRI: Multi-Stage Segmentation, Cascade Classification, and Visual Interpretation."
Training dataset for "A deep learned nanowire segmentation model using synthetic data augmentation" This image dataset contains synthetic structure images used for training the deep-learning based nanowire segmentation model presented in our work "A deep learned nanowire segmentation model using synthetic data augmentation" to be published in npj Computational materials. Detailed information can be found in the corresponding article. Instance segmentation Nanowire V2O5 particles Mask R-CNN
Planteome/CO_345-brachiaria-traits: CO_345-brachiaria-traits ontology Brachiaria (forages) ontology TD v5 - Version Oct 2016
Evaluating the diagnostic capabilities of nanopore sequencing for Borrelia burgdorferi detection in blacklegged ticks Nanopore adaptive sampling was performed across seven sequencing experiments on 168 wild-caught adult blacklegged ticks. Nanopore adaptive sampling was leveraged to enrich for all known bacterial pathogens vectored by blacklegged ticks in the US. Raw POD5 files from the sequencing experiments were re-basecalled using the super high-accuracy basecalling model in
High-Capacity Mesoporous Silica Nanocarriers of siRNA for Applications in Retinal Delivery The main cause of subretinal neovascularisation in wet age-related macular degeneration (AMD) is an abnormal expression in the retinal pigment epithelium (RPE) of the vascular endothelial growth factor (VEGF). Current approaches for the treatment of AMD present considerable issues that could be overcome by encapsulating anti-VEGF drugs in suitable nanocarriers, thus providing better penetration, higher
AMPERE Summary Plot Movies (2012-Oct) 2012-Oct AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details. AMPERE ionosphere magnetosphere convection rst electrodynamics
English Longitudinal Study of Ageing: Waves 4-10, 2008-2023: Local Authority District Post-2009 Boundaries: Secure Access

The English Longitudinal Study of Ageing (ELSA) study is a longitudinal survey of ageing and quality of life among older people that explores the dynamic relationships between health and functioning, social networks and participation, and economic position as people plan for, move into and progress beyond
Data from: Trophic reorganization of animal communities under climate change Aim This study uses a novel modeling approach to understand global trophic structure transformations under 21st-century climate changes. The goal is to project and understand the impacts of climate change on trophic dynamics, guiding future research and conservation efforts. Location 14,520 terrestrial grid cells of 1° x 1° globally. Taxon Trophic structures were assessed for 15,265 species, including 9,993
Exámenes de conducir por autoescuela en la provincia de Canarias Exámenes de conducir por autoescuela en la provincia de CanariasContenido del datasetEl conjunto de datos contiene las siguientes variables: nombre: Nombre de la autoescuela o centro examinador. lat, lon: Coordenadas geográficas del centro de examen. codigo_centro: Identificador único del centro de examen. codigo_autoescuela: Identificador único de la autoescuela. codigo_seccion: Código de sección
AMPERE GRD & IRD Data (2022-Oct) 2022-Oct AMPERE GRD and IRD data. AMPERE IRD files contain hemispheric delta-B observations in global coordinates (geographic and AACGM). Data are blocked into 10-minute 'chunks' at 2-minute resolution for use in the fitting algorithm. Measurements flagged 'bad' in the earlier processing are removed prior to entry in IRD. AMPERE GRD files contain hemispheric delta-B and Birkeland current fits at 2-minute resolution. AMPERE ionosphere magnetosphere convection
Gender Representation in Ophthalmology Authorship This dataset and manuscript examine gender representation in authorship within ophthalmology during and after the COVID-19 pandemic. We analyzed trends in first author (trainee) and senior author positions to evaluate shifts in gender distribution across this period. The findings highlight disparities in academic publishing and provide insights into how the pandemic affected equity and representation in ophthalmology research. Sociology of
Scale-Selective and Geometric Coupling: Reproducibility Data and Analysis Outputs This archive contains the full set of data products, analysis ouputs, and reporoducibilty materials underlying the study Scale-Selective and Geometric Coupling Between CMB Lensing Convergence and Large-Scale Structure. The dataset includes intermediate and final analysis tables, configuration files, null-test results, and derived coupling statisticsused to demonstrate scale-dependent and geometry-dependent
Annotation-free Audio-Visual Segmentation ## AVS-Synthetic Dataset ********** ### Updated 2023-08-22 1. The paper [`Annotation-free Audio-Visual Segmentation`](https://arxiv.org/abs/2305.11019v3) with the dataset is accepted by WACV2024. The project page is [https://jinxiang-liu.github.io/anno-free-AVS/](https://jinxiang-liu.github.io/anno-free-AVS/). 2. We release the codes at [https://github.com/jinxiang-liu/anno-free-AVS](https://github.com/jinxiang-liu/anno-free-AVS). 3. Due to
SuperDARN Grid data in netCDF format (2013-Oct) 2013-Oct SuperDARN radar data in netCDF format. These files were produced using versions 3.0 of the public FitACF and make_grid algorithms, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication. The RST is available here: https://github.com/SuperDARN/rst The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process
Doodleverse/Segmentation Zoo/Seg2Map Res-UNet models for segmentation of AAAI/flooded buildings in RGB 1024x1024 high-res. images Doodleverse/Segmentation Zoo/Seg2Map Res-UNet models for segmentation of AAAI/flooded buildings in RGB 1024x1024 high-res. images Models have been created using Segmentation Gym* using the following dataset**: https://github.com/FrontierDevelopmentLab/multi3net These Residual-UNet model data are based on 1m spatial footprint images and associated labels of
SuperDARN data in netCDF format (2002-Oct) 2002-Oct SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication. The RST is available here: https://github.com/SuperDARN/rst The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide
English Longitudinal Study of Ageing: Waves 6-10, 2012-2023: Census 2011 Middle Layer Super Output Areas: Secure Access

The English Longitudinal Study of Ageing (ELSA) study is a longitudinal survey of ageing and quality of life among older people that explores the dynamic relationships between health and functioning, social networks and participation, and economic position as people plan for, move into and progress beyond
Corneal Laser Procedure for safety and efficacy in vision improvement Purpose: To determine the safety and efficacy of corneal photovitrification (CPV), a corneal laser procedure, for vision improvement in patients with neovascular age-related macular degeneration (nAMD) and other retinal disorders involving central vision loss. Design: Retrospective observational cohort study. Methods: In this retrospective observational case series, 72 eyes of 54 patients received a single CPV
Climate change incidence, risk perception, and food security nexus This dataset supports the manuscript “Climate change incidence, risk perception, and food security among smallholders in Tigray, Ethiopia”. The dataset contains three folders and a file from three data sources: (1) the Ethiopia Rural Socioeconomic Survey (ERSS)/Living Standards Measurement Study-Integrated Surveys on Agriculture (LSMS-ISA), a three-round panel data for Ethiopia, filtered for Tigray region; (2) an ERSS
SuperDARN data in netCDF format (2007-Oct) 2007-Oct SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication. The RST is available here: https://github.com/SuperDARN/rst The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide
SF Bay Area Coda Calibration Example Dataset for CCT The following is an example dataset specific for the Coda Calibration Tool (CCT) that is focused on the San Francisco Bay Area region using a small-to-moderate magnitude earthquake dataset spanning local-to-regional distances using open data from the UC Berkeley Seismological Laboratory (BSL): https://github.com/LLNL/coda-calibration-tool/releases/ The CCT tool description can be found here:
VAT 17994 - RTI dataset The dataset comprises the RTI-data of the cuneiform tablet VAT 17994 (N5:26). RTI = Reflectance Transformation Imaging (RTI) is a computational photographic method that captures a subject's surface shape and color and enables the interactive re-lighting of the subject from any direction in a software viewer, revealing details not visible with the naked eye (cf. https://culturalheritageimaging.org/). Babylon Cuneiform Neo-Babylonian
Data from: Autonomous classification of wave breaker type in a large wave flume This dataset accompanies the article "Autonomous Classification of Wave Breaker Type in a Large Wave Flume." It contains the Python code used to train, test, and implement a You Only Look Once-random forest (YOLO-RF) machine learning (ML) model for classifying breaking waves (plunging or spilling) from GoPro videos collected in a wave flume. In addition to the Python code, it contains supplemental files,
Influences of aerosols and thin cirrus clouds on GOSAT XCO2 and XCH4 using Total Carbon Column Observing Network, sky radiometer, and lidar data The column-averaged, dry air mole fractions of CO2 and CH4 (XCO2 and XCH4, respectively) were retrieved from short-wavelength infrared (SWIR) spectra observed by the Greenhouse gases Observing SATellite (GOSAT). Continuous measurements of SWIR spectra have been made via GOSAT since 2009,
Differential effects of multiplex and uniplex affiliative relationships on biomarkers of inflammation Social relationships profoundly impact health in social species. Much of what we know regarding the impact of affiliative social relationships on health in nonhuman primates (NHPs) has focused on the structure of connections or the quality of relationships. These relationships are often quantified by comparing different types of affiliative behaviors (e.g., contact sitting, grooming,
Occurrence Download A dataset containing 347508019 species occurrences available in GBIF matching the query: { "TaxonKey" : [ "is one of (Detritivora hermodora, Mesosemia hesperina, , , Perophthalma tullius, Mesosemia lamachus, Nymphidium mantus, Calephelis iris, Synargis mycone, Ancyluris inca, Emesis aurimna, Juditha caucana, , Lepidoptera, Eurybia elvina, Mesenopsis melanochlora, Thisbe irenea, Calephelis borealis, Hypophylla martia, Nymphidium haematostictum, , Theope, Theope, Eurybia
Occurrence Download A dataset containing 8505228 species occurrences available in GBIF matching the query: { "and" : [ "HasGeospatialIssue is false", "HasCoordinate is true", "OccurrenceStatus is Present", { "not" : { "BasisOfRecord" : [ "is one of (Fossil, Living Specimen, Specimen)" ] } }, "Country is one of (Åland Islands, Albania, Andorra, Armenia, Austria, Azerbaijan, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czechia, Denmark, Estonia, Faroe Islands,
Doodleverse/Segmentation Zoo Res-UNet models for Aerial/NOAA ERI/2-class (water, nowater) segmentation of RGB 1024x768 high-res. images Doodleverse/Segmentation Zoo Res-UNet models for Aerial/NOAA ERI/2-class (water, nowater) segmentation of RGB 1024x768 high-res. images Residual-UNet models are trained on 1,179 pairs of human-generated segmentation labels and images from Emergency Response Imagery (ERI) collected by US National Oceanic and Atmospheric Administration (NOAA) after Hurricane
SuperDARN data in netCDF format (2011-Oct) 2011-Oct SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication. The RST is available here: https://github.com/SuperDARN/rst The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide
CODEX multiplexed imaging of immunotherapy in human and mouse melanomas Our research used CODEX (Co-Detection by Indexing) multiplexed imaging to gain insights into melanoma tumors in both murine models and human samples. CODEX imaging involves an iterative process of annealing and stripping fluorophore-labeled oligonucleotide barcodes, complementing the barcodes attached to over 40 antibodies used for tissue staining. Subsequently, images underwent standard CODEX image processing (tile
Doodleverse/Segmentation Zoo/Seg2Map Res-UNet models for DeepGlobe/7-class segmentation of RGB 512x512 high-res. images Doodleverse/Segmentation Zoo/Seg2Map Res-UNet models for DeepGlobe/7-class segmentation of RGB 512x512 high-res. images These Residual-UNet model data are based on the [DeepGlobe dataset](https://www.kaggle.com/datasets/balraj98/deepglobe-land-cover-classification-dataset) Models have been created using Segmentation Gym* using the following
CIL:37168, Rattus, kidney tubule cell. In Cell Image Library Transmission electron micrograph of adherens junctions (macula adherens or desmosome)in the proximal tubule of a rat kidney. The junctions with associated tonofilaments are seen at the apposed plasma membranes between two epithelial cells. Image made available by James D. Jamieson and the Department of Cell Biology, Yale University School of Medicine. Desmosome Domain: Biomedical and clinical sciences Domain: Biological sciences
Dataset for: Transfer learning-based encoder-decoder model with visual explanations for infrastructure crack segmentation: New open database and comprehensive evaluation This is the dataset for the following paper: Fangyu Liu, Wenqi Ding, Yafei Qiao, and Linbing Wang. "Transfer learning-based encoder-decoder model with visual explanations for infrastructure crack segmentation: New open database and comprehensive evaluation." Underground Space 17 (2024): 60-81.
A Catalog of Natural Channelrhodopsins This repository is an appendix to the publication [Rozenberg20](10.1016/j.cub.2020.09.056) , "Lateral Gene Transfer of Anion-Conducting Channelrhodopsins between Green Algae and Giant Viruses", that is intended to keep the list of the channelrhodopsins (ChRs) presented there as a constantly updated resource that includes updates to the old records, addition of novel unpublished entries, entries from newly published experiments and corrections to the
IMMORTAL TEK: The Sovereign Node — Bio-Sovereign Infrastructure & The Post-Silicon Paradigm (2025–2028) IMMORTAL TEK: The Sovereign Node — Bio-Sovereign Infrastructure & The Post-Silicon Paradigm (2025–2028) 1. Executive Summary: The Entropic Limit of Consumer Electronics The current trajectory of personal computing has reached a terminal velocity of diminishing returns. The dominant paradigm—characterized by planned obsolescence, tethered dependency, and the centralized extraction of
Dendrolagus (Tree Kangaroo) Scanned at the University of Queensland by Nathan Siddle and Adelia Tan 27 Oct 2015. Source: Objaverse 1.0 / Sketchfab
Ecological and Morphological Correlates of Acuity in Birds Birds use their visual systems for a variety of important tasks, such as foraging and predator detection, that require them to resolve an image. However, visual acuity (the ability to perceive spatial detail) varies by two orders of magnitude across birds. Prior studies indicate that eye size and aspects of a species’ ecology may drive variation in acuity, but these studies have been restricted to small numbers of species. We used
Data for the Article: Cross-validation of a semantic segmentation network for natural history collection specimens This deposit contains six datasets which were used for testing and validating a semantic segmentation network. The purpose was to evaluate the suitability of the segmentation network for use in the processing of images from Natural History Collections. Semantic segmentation, cross-validation, digitization workflow, data extraction, natural history collection specimens
English Longitudinal Study of Ageing: Waves 1-10, 2002-2023: Census 2001 Rural-Urban Indicators (Recoded): Special Licence Access

The English Longitudinal Study of Ageing (ELSA) study is a longitudinal survey of ageing and quality of life among older people that explores the dynamic relationships between health and functioning, social networks and participation, and economic position as people plan for, move into and progress beyond retirement. The main
Festival of Frequency Measurement 1 October 2019 Festival of Frequency Measurement 1 October 2019 J. Kommers KN6CYU Latitude: 34.0556 / 34° 3' 20" N Longitude: -118.443 / 118° 26' 34" W Grid: DM04sb Files starting 30 Sep 2019 at 18:42 PDT through 1 Oct 2019 at 4:18 PDT 70 ft random wire antenna, SDR Play RSPduo tuned to 4.999 MHz with diversity reception - screenshots included for configuration details
exported-nlsm-octrees Contains exported octrees (.oct) and visualization files (.pvtu) for both NLSM-A and NLSM-B cases, generated by Dendro-GR. Relates to Figures 10, 11, 12 & 13 in AMRaCut paper.
Nematostella vectensis full length opsin sequences and transcriptomes Opsins are the primary proteins responsible for light detection in animals. Cnidarians (jellyfish, sea anemones, corals) have diverse visual systems that have evolved in parallel with bilaterians (squid, flies, fish) for hundreds of millions of years. Medusozoans (e.g. jellyfish, hydroids) have evolved eyes multiple times, each time independently incorporating distinct opsin orthologs. Anthozoans (e.g. corals, sea
MedIMeta: A comprehensive and easy-to-use multi-domain multi-task medical imaging meta-dataset We introduce the Medical Imaging Meta-Dataset (MedIMeta), a novel multi-domain, multi-task meta-dataset designed to facilitate the development and standardised evaluation of ML models and cross-domain few-shot learning algorithms for medical image classification. MedIMeta contains 19 medical imaging datasets spanning 10 different domains and encompassing 54 distinct medical tasks, offering
CIL:37171, Anura. In Cell Image Library Transmission electron micrograph of desmosomes (macula adherens)in the junctional complex between cells in frog skin. The upper desmosome is cut obliquely and appears much wider than the lower (vertically located) one. Image made available by James D. Jamieson and the Department of Cell Biology, Yale University School of Medicine. Domain: Biological sciences Anura Plasma membrane organization Desmosome assembly Desmosome Domain: Biomedical and clinical
Grid-to-Grid model estimates of river flow for Northern Ireland driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080) Gridded hydrological model river flow estimates on a 1km grid over Northern Ireland for the period Dec 1980 - Nov 2080. The dataset includes monthly mean river flow, annual maxima of daily mean river flow (water years Oct - Sept), along with the date of occurrence, and annual minima of 7-day mean river flow (years spanning Dec-Nov), along with the
QuPath Segmentation masks of NeuroPAL Images QuPath segmentation masks of 31 C. Elegans NeuroPAL volumes (20 heads, 11 tails) originally published here . Please note that the segmentation files do not contain names; you can assign them names by crossreferencing the segmentation centroids with the positions in the neuron ID .mat file. Pattern Description Contents .nd2 Original colorstack nd2 file. Raw acquisition, nikon metadata. .mat NeuroPAL_ID