cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18422045
title: Protein identification and quantitation data for MECP2-deficient and wild-type human brain organoids under spaceflight and ground conditions

description: This spreadsheet contains protein identification and label-free quantitation data for brain organoids derived from MECP2-deficient (Q83X) and wild-type (WT83) iPSC lines cultured under spaceflight (ISS) and ground control conditions. The data includes 5,952 protein groups identified at 1% FDR using PatternLab for Proteomics 5.1. Each row represents a protein group with corresponding spectral counts and quantitation values across all ten biological replicates. This file accompanies the mass spectrometry raw data deposited in PRIDE (PXD069807).
DOI: 10.5281/zenodo.18422044
title: Protein identification and quantitation data for MECP2-deficient and wild-type human brain organoids under spaceflight and ground conditions

description: This spreadsheet contains protein identification and label-free quantitation data for brain organoids derived from MECP2-deficient (Q83X) and wild-type (WT83) iPSC lines cultured under spaceflight (ISS) and ground control conditions. The data includes 5,952 protein groups identified at 1% FDR using PatternLab for Proteomics 5.1. Each row represents a protein group with corresponding spectral counts and quantitation values across all ten biological replicates. This file accompanies the mass spectrometry raw data deposited in PRIDE (PXD069807).
DOI: 10.5281/zenodo.18421539
title: FairCAT-generated datasets for benchmarking fairness-aware GNNs

description: These synthetic datasets are created with an aim to be used for benchmarking fairness and performance of Graph Neural Networks (GNNs). The datasets are created specifically for the following experiments: balancing, correlations strength, data scaling, and synthetic German Credit, and synthetic Pokec_n. The environment for each experiment varies in only one variable, according to the experiment, while others stay fixed.

 

Balancing experiment: the ratio of the sensitive groups is varied for each graph: Balanced (50/50 split), Mild Imbalance (70/30), and Strong Imbalance (90/10).

Correlation strength experiment: graphs with varying strength of correlation between sensitive attribute and a non-sensitive attribute: Low (0.05), Medium (0.50), and High (0.95).

Scaling experiment: graphs are increasing in size: Small (number of nodes=2^15), Medium (nodes=2^20), Large (nodes=2^23; called 2^25 due to an error).

German FairCAT: a synthetic dataset that tries to reproduce real-world German Credit dataset. It can be used to compare GNN predictions with learning on the original dataset.

Pokec_n FairCAT: a synthetic dataset that tries to reproduce real-world Pokec_n dataset.
DOI: 10.15139/s3/6y1wes
title: Data Management and Sharing Plan for: Proto-OKN Theme 2: OKN Fabric

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.7937/v9pn-2f72
title: Pre and post treatment MRI and radiotherapy plans of patients with glioblastoma: the CFB-GBM cohort (CFB-GBM)

description: Patients included in the “CFB-GBM” dataset correspond to 264 patients with glioblastoma involved in the clinical routine.

Pre-treatment MRI (t0) was acquired for all patients. The sequences, such as T1Gd, T1 anatomical, T1 gradient echo, T2 anatomical, T2-FLAIR, T2* or diffusion weighted imaging, were included, depending on their availability. In addition, post-treatment MRI at different times (t1 and t2) were obtained, if available. For some patients, we have also included treatment imaging, such as CTscan, radiotherapy dose and tumor delineation. 

Clinical data : survival, age, WHO status, gender, height, weight, IDH status and MGMT methylation. 
Surgery criteria, RT dose and machine, fractions. 
CTscan machine, MRI machine, and the delay between the t1 and t2 MRI and t0 MRI. 
Potential research applications of the dataset:

AI model development for: 

Outcome prediction [1]
Tumor segmentation and evolution after treatment
MRI generation
Spatial analysis of the tumor evolution using RT dose by a pixel to pixel analysis.
DOI: 10.15468/dl.83g2u9
title: Occurrence Download

description: A dataset containing 60393 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Washington State University Collection"
 ]
}

 The dataset includes 60393 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000775-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hmzb8y
title: Occurrence Download

description: A dataset containing 157 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is one of (Arizona State University Charles W. O'Brien Collection, Museum at Texas Tech University Invertebrate Zoology Collection, Texas A&M University Insect Collection, Snow Entomological Museum Collection, University of Arizona Insect Collection, New Mexico State Collection of Arthropods, University of Texas, Biodiversity Center, Entomology Collection (UTIC), NMNH Material Samples (USNM), University of Central Florida Collection of Arthropods (UCFC))",
 "GadmGid is one of (USA.17_1, USA.44_1, USA.37_1)",
 "TaxonKey is Mitostylus"
 ]
}

 The dataset includes 157 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000763-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18420873
title: Annotated Microscopy Image Labels for Bacterial Classification (ROI/patch annotations)

description: This repository provides annotation files and dataset structure for a bacterial microscopy image collection used for tasks such as Gram classification (Gram-positive vs Gram-negative) and morphological analysis.

Important note on data provenance:The original microscopy images were not generated by the authors of this Zenodo record. The images come from external sources and/or previously collected datasets. The contribution of this release is the manual labeling/annotation work, including the organization of the dataset, the definition of the label taxonomy, and the export of annotations.
DOI: 10.5281/zenodo.18420874
title: Annotated Microscopy Image Labels for Bacterial Classification (ROI/patch annotations)

description: This repository provides annotation files and dataset structure for a bacterial microscopy image collection used for tasks such as Gram classification (Gram-positive vs Gram-negative) and morphological analysis.

Important note on data provenance:The original microscopy images were not generated by the authors of this Zenodo record. The images come from external sources and/or previously collected datasets. The contribution of this release is the manual labeling/annotation work, including the organization of the dataset, the definition of the label taxonomy, and the export of annotations.
DOI: 10.15139/s3/bhujt1
title: Data Management and Sharing Plan for: Johns Hopkins Center of Excellence in Regulatory Science and Innovation

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.15468/dl.bxehpc
title: Occurrence Download

description: A dataset containing 671 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Steindachnerina insculpta"
 ]
}

 The dataset includes 671 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000764-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18413556
title: Data on spectral and luminescence properties of ZnO nanoparticles synthesized in PVA media

description: The study is devoted to development of luminescent materials based on ZnO nanoparticles synthesized in polymer media by modified co-precipitation method using green chemistry principles. The polyvinyl alcohol (PVA) media have caused great impact on the absorption and luminescence properties of the synthesized ZnO-xPVA nanoparticles. Theoretical calculations of the electronic structure of ZnO crystals containing a set of point defects including Hi and Ci their combinations with Oi native defects were carried out. The density functional theory (DFT) band-periodic method within the super-cell approach was used to verify this assumption. Results of the calculations of the optical spectra were compared with spectral features of the samples, including low temperature and high energy excitations of the ZnO-xPVA nanoparticles.
DOI: 10.5281/zenodo.18413557
title: Data on spectral and luminescence properties of ZnO nanoparticles synthesized in PVA media

description: The study is devoted to development of luminescent materials based on ZnO nanoparticles synthesized in polymer media by modified co-precipitation method using green chemistry principles. The polyvinyl alcohol (PVA) media have caused great impact on the absorption and luminescence properties of the synthesized ZnO-xPVA nanoparticles. Theoretical calculations of the electronic structure of ZnO crystals containing a set of point defects including Hi and Ci their combinations with Oi native defects were carried out. The density functional theory (DFT) band-periodic method within the super-cell approach was used to verify this assumption. Results of the calculations of the optical spectra were compared with spectral features of the samples, including low temperature and high energy excitations of the ZnO-xPVA nanoparticles.
DOI: 10.5281/zenodo.17177894
title: Flow cytometry data

description: Flow cytometry files for Hertz et al. A new selection strategy to enrich dopaminergic neurons facilitates comparisons between patient iPSC-derived lines. Biorxiv. doi: https://doi.org/10.1101/2024.02.25.581985
DOI: 10.5281/zenodo.18422160
title: Flow cytometry data

description: Flow cytometry files for Hertz et al. A new selection strategy to enrich dopaminergic neurons facilitates comparisons between patient iPSC-derived lines. Biorxiv. doi: https://doi.org/10.1101/2024.02.25.581985
DOI: 10.17603/ds2-kbhj-k266
title: Historic and Future Probabilistic Tropical Cyclone Flood Hazards for the Carolinas

description: In this project, we simulated water levels across eastern North and South Carolina, USA from thousands of synthetic tropical cyclones (TCs) in a historic and projected future climate. We leveraged multiple physics-based models to generate the boundary conditions (i.e., rainfall, wind, storm surge) to a hydrodynamic model (SFINCS) where we simulated 3 scenarios: runoff-only, coastal-only, and total. We used the maximum water level outputs from these 3 simulations to attribute peak water levels to runoff, coastal, or compound flood processes. We generated historic and projected TC probabilistic flood hazard maps to investigate how changes in TC climatology might shift flood drivers and hazards in our study area. We find that considering compound flood processes is important and that sea level rise could move these area inland and upriver. The modeled water levels here can be used to do local level analysis on probable flood events. We use a Monte Carlo approach and our probabilistic maps consider a large number of possible storms and can be used to provide context to traditional design-storm or event-based approaches to estimating flood hazard probabilities. The data can also be used with other environmental or socioeconomic data to assess different exposures and risks to TC flooding.
DOI: 10.15468/dl.2nksj2
title: Occurrence Download

description: A dataset containing 2138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-74.0878 4.8085,-73.99503 4.8085,-73.99503 4.88457,-73.98648 4.90611,-74.0878 4.88457,-74.0878 4.8085))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 2138 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000766-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yrec5t
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is KAZ",
 "TaxonKey is Trollius altaicus"
 ]
}

 The dataset includes 65 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025081-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bj4wm7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Leptobotia microphthalma)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025082-250811113504898/datasets/export for details.
DOI: 10.6084/m9.figshare.20552064.v1
title: Datasets to accompany manuscript intitled 'Non-neonicotinoid pesticides impact bumblebee activity and pollen provisioning.'

description: This data was collected as part on an experiement to investigate whether exposure to pesticides affected bumblebee behaviour and delivery of pollination services. (doi: 'x') <br> Bumblebee colonies were exposed to pesticide treatments (lambda-cyhalothrin or dimethoate) through a contaminated pollen food source and were then observed foraging on potted oilseed rape (canola/<em>Brassica napus</em>) plants in an exclusion cage in a semi-field setting. Meaurements were recorded at the individual bee level and at the colony level. Individual level observations involved releasing one bee from the nest, allowing it to forage on plants in the exlcusion cage, and recording it's behaviour (initial observations were recorded using BORIS software and then compiled in excel sheet for analysis). Colony level observations involved allowing free movement of bees in and out of the nest, recording visitation rates to the crop in addition to activity at the nest entrance. <br> Oilseed rape plants from both individual and colony level experiments were kept in exclusion cages until they were ready to harvest. This ensured that the plants were only visited by bumblebees involved in this study and no wild insects. Once matured, the plants were harvested to assess the delivery of pollinations services by these pesticide treated bumblebees. Open, receptive flowers were tagged at the time of observations, and at harvest it was recorded whether these flowers successfully progressed to pod development. Any pods that devleped were processed to measure pod yield, number of seeds per pod and seed weight as a proxy for delivery of pollination services.
DOI: 10.6084/m9.figshare.1585150.v2
title: SfN 2015 Posters

description: Posters presented by Neurodata on their projects the Open Connectome Project and the Open Synaptome Project at the Society for Neuroscience conference in Chicago, 2015.
DOI: 10.6084/m9.figshare.28171130.v1
title: microbial life strategy and soil respiration

description: Forest recovery is expanding globally, inevitably leading to changes in the biogeochemical cycling. Soil microbes play a crucial role in the soil carbon (C) cycle and are considered a rate-limiting factor in C decomposition. However, the evolutionary patterns of microbial community composition during forest recovery, and how changes in microbial community composition drive soil respiration, remain unknown. This study selected natural secondary forest sequences with different restoration times (20, 32, 47, and 61 years) after clear-cutting, as well as an undisturbed primary forest (PF) as the research subjects. The aim is to evaluate the evolutionary patterns and driving mechanisms of microbial community composition and soil respiration during forest restoration processes.
DOI: 10.17632/3j3zzsc7wb
title: GrapeNet: An Image Dataset for Grape Variety and Quality Classification.

description: GrapeNet: A High-Resolution Image Dataset for Grape Variety and Quality Classification

The GrapeNet dataset addresses a pressing need in precision viticulture for accurate, automated classification of grape varieties and quality levels. It includes 25,425 high-resolution images of grape clusters spanning three commercially important varieties: Black, Flame, and Green. These are further divided into eight subcategories based on freshness (fresh or rotten) and shape (round or elongated). The dataset was captured under consistent laboratory conditions with variations in lighting and camera angles to reflect real-world diversity, making it well-suited for machine learning applications.

GrapeNet supports a wide range of computer vision tasks in agriculture, including automated fruit sorting, ripeness detection, quality control, and condition-based grading. The dataset is particularly valuable for researchers and developers working on deep learning-based classification and object detection models in agricultural contexts.

Dataset Features:

Total Images: 25,425 grape cluster images

Categories: 3 varieties (Black, Flame, Green)

Subcategories: 8 (based on freshness and shape)

Black/Round Fresh – 2,900

Black/Round Rotten – 3,000

Flame/Round Fresh – 3,350

Flame/Round Rotten – 2,975

Green/Elongated Fresh – 3,500

Green/Elongated Rotten – 3,050

Green/Round Fresh – 3,675

Green/Round Rotten – 2,975

Image Resolution: Original 4624×3472 pixels, resized upto 3000×3000 pixels for modeling

Format: JPEG (.jpg)

Device Used: Xiaomi Redmi Note 13 5G (50 MP, f/1.79 aperture)

Data Collection Methodology:
Images were captured using smartphone cameras in a controlled indoor environment. Grapes were arranged on plain white or black backgrounds and photographed under both natural and artificial light. This approach ensured consistent imaging while preserving variability relevant to real-world use cases. To enrich the dataset further, image augmentation techniques such as flipping, rotation, and brightness adjustments were applied using Python scripts.

Applications:

Grape variety recognition

Ripeness detection

Rotten/fresh classification

Smart sorting systems in vineyards and packing units

Educational tools for AI in agriculture
DOI: 10.6084/m9.figshare.11860851.v1
title: A high-density Surface EMG dataset of upper-limb muscles during isometric contractions in healthy humans: Part 2/3

description: This dataset comprises HD-EMG recordings of the latest six subjects (S7-S12) of twelve healthy male volunteers performing four isometric contractions tasks (extension and flexion of the elbow and pronation and supination of the forearm) at 10%, 30%, and 50% of the maximum voluntary contraction.<br>Signals of the upper arm (biceps and triceps brachii) and the forearm (brachioradialis, pronator teres, and anconeus) muscles were recorded using three 2D arrays of electrodes.<br>For more information, please refer to the readme file.<br>Related dois:Part 1/3: 10.6084/m9.figshare.11860572Part 3/3: 10.6084/m9.figshare.11860959<br>
DOI: 10.6084/m9.figshare.12957992.v1
title: Dataset for Hypertension

description: Dataset for Risk Factors of Hypertension in Rural Indonesia - A Cross Sectional Study from a Rural Village in Indonesia
DOI: 10.6084/m9.figshare.1595940.v4
title: Mining Company's Global Supply Chain - Uniformly Random Logistics Data for a Medium Size Excavator

description: The company which provided the dataset is the world leader in manufacturing of construction and mining equipment, diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. The current revenue of the company is estimated to be on the order of tens of billions and they sell products and parts via a worldwide dealer network. The company sells more than 3 million products and 700,000 parts in more than 20 countries around the world every year. They operate with more than 3,000 suppliers and 3,000 dealerships and their logistics operations alone are worth more than 60 million dollars per year. The dataset provided is one example of supply chain problem for one product of the company - a medium size excavator. In the current dataset, the number of dealers, production facilities and shipping ports is the same as in the original problem; it is only the demand figures, the production capacities, the transportation times and costs and the sale prices that have been randomly generated. The figures have been generated according to a normal distribution with the same mean and standard deviation as in the original dataset (e.g. the demand figures have the same mean and standard deviation as those found in the original problem).
DOI: 10.6084/m9.figshare.25429207.v1
title: Supplementary Material for: Pectoralis muscle area as a predictor of mortality in patients hospitalized with bronchiectasis exacerbation

description: Introduction: Data on factors related to mortality in patients with bronchiectasis exacerbation are insufficient. Computerized tomography (CT) can measure the pectoralis muscle area (PMA) and is a useful tool to diagnose sarcopenia. This study aimed to evaluate whether PMA can predict mortality in patients with bronchiectasis exacerbation.
Methods: Patients hospitalized due to bronchiectasis exacerbation at a single center were retrospectively divided into survivors and non-survivors based on 1-year mortality. Thereafter, a comparison of the clinical and radiologic characteristics was conducted between the two groups.
Results: A total of 66 (14%) patients died at 1 year. In the multivariate analysis, age, body mass index (BMI) &lt; 18.4 kg/m2, sex-specific PMA quartile, ≥ 3 exacerbations in the previous year, serum albumin &lt; 3.5 g/dL, cystic bronchiectasis, tuberculosis-destroyed lung, and diabetes mellitus were independent predictors for the 1-year mortality in patients hospitalized with bronchiectasis exacerbation. A lower PMA was associated with a lower overall survival rate in the survival analysis according to sex-specific quartiles of PMA. PMA had the highest area under the curve during assessment of prognostic performance in predicting the 1-year mortality. The lowest sex-specific PMA quartile group exhibited higher disease severity than the highest quartile group.
Conclusions: CT-derived PMA was an independent predictor of 1-year mortality in patients hospitalized with bronchiectasis exacerbation. Patients with lower PMA exhibited higher disease severity. These findings suggest that PMA might be a useful marker for providing additional information regarding prognosis of patients with bronchiectasis exacerbation.