fairdataihub/envision-eye-imaging-training-data huggingface dataset:
English Longitudinal Study of Ageing: Waves 1-10, 2002-2023: Local Authority Type Pre-2009 Boundaries: 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
SuperDARN data in netCDF format (2020-Oct) 2020-Oct SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 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
MERFISH measurements in the mouse ileum Spatial transcriptomics protocols based on in situ sequencing or multiplexed RNA fluorescent hybridization can reveal detailed tissue organization. However, distinguishing the boundaries of individual cells in such data is challenging, and can hamper downstream analysis. Current methods generally approximate cells positions using nuclei stains. We describe a segmentation method, Baysor, which optimizes 2D or 3D cell boundaries considering joint likelihood
SuperDARN Grid data in netCDF format (2001-Oct) 2001-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
AMPERE GRD & IRD Data (2009-Oct) 2009-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
AMPERE GRD & IRD Data (2017-Oct) 2017-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
CIL:50354, phantom. In Cell Image Library Biological samples are frequently stained with heavy metals in preparation for examining the macro, micro and ultra-structure using X-ray microtomography and electron microscopy. A single X-ray microtomography scan reveals detailed 3D structure based on staining density, yet it lacks both material composition and functional information. Using a commercially available polychromatic X-ray source, energy integrating detectors and a two-scan configuration
English Longitudinal Study of Ageing: Waves 0-9, 1998-2019

The English Longitudinal Study of Ageing (ELSA) 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 objectives of ELSA are to:

construct waves of accessible and well-documented
Cell Segmentation Beyond 2D - Benchmark 3D Cell Segmentation Dataset Compiled benchmark dataset as published in Schmeisser, F., et al (2025) Cell Segmentation Beyond 2D - A Review of the State of the Art. This dataset is compiled of 11 open-source datasets. Original downloads and credits to the original authors can be found here: https://gitlab.com/cellsbeyond2d/CellsBeyond2D/-/blob/main/README.md Cell Segmentation 3D 2.5D Deep Learning Artificial Intelligence Computer VIsion
Dataset and codes for paper: VSOT: Volume-Surface Optimization for Accurate Ultrastructure Analysis of Dendritic Spines VSOT: Volume-Surface Optimization for Accurate Ultrastructure Analysis of Dendritic Spines. VSOT is a method based on volume-surface optimization that is designed for the accurate structural analysis of dendritic reconstruction. VSOT accurately segments dendritic reconstructions into compartments, including spine, spine head and neck, by leveraging advanced optimization
SuperDARN data in netCDF format (1993-Oct) 1993-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
Ginsenoside Rb1 attenuates diabetic retinopathy in streptozotocin-induced diabetic rats Abstract Purpose: To investigated the effects of ginsenoside Rb1 on diabetic retinopathy in streptozotocin-induced diabetic rats. Methods: Diabetes was induced by a single intraperitoneal injection of streptozotocin (80 mg/kg) in male Wistar rats. Ginsenoside Rb1 (20, 40 mg/kg) was injected (i.p.) once a day for 4 weeks. Then, using fundus photography, the diameter and vascular permeability of retinal
SuperDARN Grid data in netCDF format (2014-Oct) 2014-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
Genoa Flooding | 9 Oct 2014 | Meso-NH, MOLOCH Ensemble Reforecasts Genoa Flooding | 9 October 2014 Ensemble-based reforecasts using the Meso-NH and MOLOCH models Variable: accumulated precipitation (mm/1-hour) Starting dates: 2014/10/07 00 UTC, 2014/10/07 12 UTC, 2014/10/08 00 UTC, 2014/10/08 12 UTC Ending date: 2014/10/10 00 UTC Acknowledgment is made for the use of ECMWF’s computing and archive facilities within the framework of the SPITCAPE Special Projects during the years
Datasets for simulating heat and CO2 fluxes in Beijing using SUEWS V2020b Data, model runs and codes used in the manuscript " Simulating heat and CO 2 fluxes in Beijing using SUEWS V2020b: sensitivity to vegetation phenology and maximum conductance ". The source code for Surface Urban Energy and Water balance Scheme (SUEWS) V2020b is also included. [Latest Version] June 9, 2023: Version 2 was created. (1) Modifications in LAI : the input data of LAI (
Bilateral Acute Occlusive Retinal Vasculitis in Pediatric Patients: A Report of Two Cases To present two rare pediatric cases of bilateral acute occlusive retinal vasculitis (ORV) associated with respiratory viral infections. This retrospective review of two cases included a comprehensive clinical evaluation and detailed examinations, including wide-field RetCam color fundus photography, fundus fluorescein angiography, B-ultrasound imaging, aqueous humor cytokine analysis, and laboratory
lidar and ionospheric data on 31 Oct 2024 In this link, we present the lidar and ionospheric data observed at low latitude Hainan China on 31 October 2024, including the Ca ion density profile observed by a Ca+ lidar, VHF radar backscatter echoes and the corresponding interferometry results, the ionospheric profile observed by ionosonde and GNSS ROTI maps. The files are restored as .mat or .txt format that could be easily read by matlab.
Dataset for "Blood integrin and cytokine producing T cells are associated with stage and genetic risk score in age-related macular degeneration"

This dataset contains flow cytometry data from 5 panels of flow cytometry measurements on peripheral blood mononuclear cells from AMD patients and controls. The FlowJo gating analysis generated frequency tables of cell populations for each panel. Additionally, the dataset includes genetic risk scores (GRS-52) for all
Thrombospondin-1 Mediates Axon Regeneration in Retinal Ganglion Cells Novel Targets to Promote RGC Axon Regeneration (Park Lab) The aim of this project is to idenity genes and lipids that give subtypes of retinal ganglion cells a greate propensity to regenerate axons and form function synaptic connections. This work has been published in the following manuscripts:	Thrombospondin-1 Mediates Axon Regeneration in Retinal Ganglion Cells (2019-08-21)	Lipid profiling dataset of the
English Longitudinal Study of Ageing: Wave 8, 2016-2017, Sexual Self-Completion Data: 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 objectives of ELSA
Exterior view of the old White Hotel in Aptos, Santa Cruz County, ca.1930 Photograph of an exterior view of the old White Hotel in Aptos, Santa Cruz County, ca.1930. An automobile is parked at the bottom of several steps on the hotel that lead to the front porch. A man sits on these steps against on of the many pillars that supports the second floor. One of the two doorways stands just behind the man and large rectangular windows can be seen in the walls around them as well as in the walls of
Doodleverse/Segmentation Zoo/Seg2Map SegFormer models for segmentation of xBD/buildings in RGB 768x768 high-res. images Doodleverse/Segmentation Zoo/Seg2Map SegFormer models for segmentation of xBD/buildings in RGB 768x768 high-res. images Models have been created using Segmentation Gym* using the following dataset**: https://arxiv.org/abs/1911.09296 These SegFormer model data are based on 1m spatial footprint images and associated labels of buildings. Image size used by model:
Multivesicular Release LIF Spike Data The statistics of vesicle release determine how information is transferred in neural 12 circuits. The classical model is of Poisson synapses releasing vesicles 13 independently but ribbon synapses transmit early sensory signals by 14 multivesicular release (MVR) when two or more vesicles are coordinated as a single 15 synaptic event. To investigate the impact of MVR on the spike code we used leaky 16 integrate-and-fire models with inputs simulating the
SuperDARN data in netCDF format (2003-Oct) 2003-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
SuperDARN Grid data in netCDF format (2015-Oct) 2015-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
VAT 18297 - RTI dataset The dataset comprises the RTI-data of the cuneiform tablet VAT 18297 (N5:2). 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
Ice front positions for Greenland glaciers (2002–2021): a spatially extensive seasonal record and benchmark dataset for algorithm validation Variations in Greenland glacier ice-front positions reflect the magnitude and trends of glacier advance and retreat and are critical for understanding ice-sheet dynamics. This dataset provides a spatially extensive and seasonally targeted record of glacier terminus positions across Greenland. It includes 19,171 ice-front delineations for multiple glacier
AMPERE Summary Plot Movies (2021-Oct) 2021-Oct AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details. AMPERE ionosphere magnetosphere convection rst electrodynamics
HighwayScapes This synthetic dataset features simulated highway scenes captured from a moving camera. For each viewpoint, we provide: normal and depth maps, color and grayscale segmentation masks, and a diffusion-generated RGB image utilizing the segmentation mask.
Entomological_Surveillance_Dataset_Suazo_etal_2025 This dataset contains entomological surveillance data on Aedes aegypti abundance collected from rural and urban communities in District III of Managua, Nicaragua, between 2022 and 2023. The study evaluates mosquito distribution across different seasons and environmental settings, focusing on vector density, entomological indices, and productive breeding containers. These data contribute to understanding Aedes aegypti population dynamics in both
bioimage.io upload: ilastik/plantseg_root View on bioimage.io # Arabidopsis Lateral Root Traning Data Arabidopsis lateral root training data Training data for cell segmentation in Arabidopsis lateral root from plantseg . backup.bioimage.io bioimage.io bioimage.io:dataset light-microscopy arabidopsis cells instance-segmentation 3D
Nielsen Annual Ailments, Health, and Wellness Survey Complementary to the Consumer Panel data, this annual survey contains information about panelists’ ailments and shopping they experience during the time surveyed. Researchers must be subscribed to the Consumer Panel dataset to have access to these data, however, there are no additional fees required. **Years Available:** Beginning in 2011 and including annual updates. **Panel Size**: 40,000 - 62,000 active panelists (varies by
Parallel CRISPR-Cas9 screens clarify impacts of p53 on screen performance CRISPR-Cas9 genome engineering has revolutionised high-throughput functional genomic screens. However, recent work has raised concerns regarding the performance of CRISPR-Cas9 screens using TP53 wild-type human cells due to a p53-mediated DNA damage response (DDR) limiting the efficiency of generating viable edited cells. To directly assess the impact of cellular p53 status on CRISPR-Cas9 screen performance, we carried
Toxoplasma gondii microscopy and PCR detection results between July, 2020 and August, 2022 in greater Monterey Bay, CA Toxoplasma gondii is a zoonotic parasite that can cause severe morbidity and mortality in warm-blooded animals, including marine mammals such as sea otters. Free-ranging cats can shed environmentally resistant T. gondii oocysts in their feces, which are transported to water bodies through rain-driven surface runoff. Certain genotypes of T. gondii were found in otters that
VAT 17144 - RTI dataset The dataset comprises the RTI-data of the cuneiform tablet VAT 17144 (N8:5). 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/). Governance Babylon
Swarm-Steward Benchmark Data: Feature RAG, Swarm Scalability, and LLM Model Evaluation Artifacts Abstract Swarm-Steward is a platform-agnostic system for natural-language swarm control that enables a non-expert operator to coordinate many drones by creating and commanding groups, bridging high-level intent to reliable, low-level execution. The system uses a hierarchical LLM-based multi-agent design where planning and context gathering are separated from actuation: a
Wildfire and extreme rainfall reduce soil carbon and nitrogen pools in a semiarid shrubland ecosystem This study took advantage of a wildfire, natural variation in rainfall, and a controlled rain-shelter experiment to examine the interactions of fire and rain on soil structure and organic matter storage in a coastal sage scrub ecosystem in southern California. The study includes data from 2022-2024. Passive rain shelters were installed in the fall of 2022, and were paired with nearby
ANNs pre-trained on Retinal Waves Different Artificial Neural Networks (saved weights), some only pre-trained either on rwave-1024 or rwave-4096 or FractalDB1000 datasets; some fine-tuned or trained from scratch (pt_none_ft... or pt__ft... or ...scratch...) on CIFAR10/100 or ImageNet1k. Retinal Waves for Pre-Training Artificial Neural Networks Mimicking Real Prenatal Development - see https://github.com/BennyCa/ReWaRD for filter visualization and further fine-tuning possibilities Pre-training
Reclassification of a novel NR2E3 variant as likely pathogenic: a case report of autosomal recessive RP37 in siblings NR2E3 is a nuclear orphan receptor essential for photoreceptor development. Variants in the NR2E3 gene are associated with autosomal recessive retinitis pigmentosa 37 (RP37) and enhanced S-cone syndrome (ESCS). We report a novel NR2E3 variant in a family with RP37, aiming to clarify pathogenicity through clinical and genetic evaluation. The proband, a
The impact of high fat diet on global protein abundance and fractional synthetic rate in liver and mammary gland of peak lactation ICR mice

The data provided here are global proteome data and fractional synthetic rate (FSR)
2D phase contrast HeLa cells images with ground truth annotations Original images are from http://www.robots.ox.ac.uk/~vgg/software/cell_detection/. This software is associated with the publication "Learning to Detect Cells Using Non-overlapping Extremal Regions", MICCAI 2012. (DOI: 10.1007/978-3-642-33415-3_43) Here, we provide the ground truth labels of: cell centers and segmentation, which are used in the publications:	"Learning to Segment: Training Hierarchical Segmentation under a
bioimage.io upload: ilastik/covid_if_training_data View on bioimage.io # Covid-IF Training Data Covid-IF Training Data Training data for cell and nucleus segmentation as well as infected cell classification of Covid19 in immunofluorescence. The images are taken with a high-throughput microscope and were used as training data to set up an IF based CoV19 antibody assay here . backup.bioimage.io bioimage.io bioimage.io:dataset high-content-imaging fluorescence-light-microscopy 2D cells
Prcd KO manuscript source data Progressive Rod-Cone Degeneration (PRCD) is an integral membrane protein found in photoreceptor outer segment (OS) disc membranes and its function remains unknown. Mutations in Prcd are implicated in Retinitis pigmentosa (RP) in humans and multiple dog breeds. PRCD-deficient models exhibit decreased levels of cholesterol in the plasma. However, potential changes in the retinal cholesterol remain unexplored. In addition, impaired phagocytosis observed in these
SuperDARN Grid data in netCDF format (2016-Oct) 2016-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
Hydrochory, a key ecological function of a tropical dry forest river threatened by a dam and open-pit coal mining in Colombia Aims: Freshwater ecosystems have complex spatial and temporal connections that support multiple processes essential for life. Since two of the most critical impacts on riparian ecosystems is the regulation of river flows and water pollution, we aimed to investigate whether a dam and mining activities on the Ranchería River affect hydrochory. Location: Tropical dry
Lanes, clusters, lines of Sight: Modelling diagnostic eyecare clinics to improve patient flow Lengthy waiting times for ophthalmology appointments in the UK National Health Service (NHS) increased further in the immediate aftermath of the Covid-19 pandemic, necessitating a different approach to triaging patients safely and at speed. Moorfields Eye Hospital NHS Trust therefore opened an additional diagnostic hub designed with a linear spatial layout and patient flow system, which is
Migration statistics and animal biometrics for mule deer that migrated long-distances (2011–2020), Wyoming, USA Billions of animals migrate to track seasonal pulses in resources. Optimally timing migration is a key strategy, yet the ability of animals to compensate for phenological mismatches en route is largely unknown. We studied a population of mule deer (Odocoileus hemionus) in Wyoming that lack reliable cues on their desert winter range, causing them to start migration 70 days ahead
SuperDARN Grid data in netCDF format (2009-Oct) 2009-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
Water chemistry samples from Durleigh Reservoir 2018 This dataset contains water chemistry and phytoplankton cell counts collected from 3 different depths at 3 different sites in Durleigh Reservoir in Somerset, England, during 2018. Water samples were collected on 22 Feb, 5 Apr, 20 Apr, 30 May, 13 Jun, 27 Jun, 9 Jul, 24 Jul, 20 Aug, 21 Aug, 22 Aug, 23 Aug, 24 Aug, and 5 Oct 2018. The data available to download includes phytoplankton cell counts (cells/ml), turbidity (NTU), pH, Ammonia (mg/l),
Dataset for DOI: 10.1109/LRA.2019.2927936. "Multi-DoF Force Characterization of Soft Actuators" This dataset contains the raw measurement data and MATLAB scripts for the following publication: S. Joshi and J. Paik, "Multi-DoF Force Characterization of Soft Actuators," in IEEE Robotics and Automation Letters , vol. 4, no. 4, pp. 3679-3686, Oct. 2019. doi: 10.1109/LRA.2019.2927936 The .csv files contain measured values of soft actuator pressure, displacement and force output. The MATLAB
High temperatures and poor habitat reduce nestling condition and survival in a tropical songbird Climate change and habitat degradation are major threats to wildlife worldwide. Although developing animals are particularly sensitive to their impacts, with fitness consequences for individuals that cascade to population persistence, their combined effect and potential interaction are rarely considered. Here we address this in an indicator species for a biodiverse riparian ecosystem in
Monocular deprivation during the critical period alters neuronal tuning and the composition of visual circuitry Calcium imaging data for mice during the critical period for ocular dominance plasticity Calcium Imaging