cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/5g238dv4ht
title: Plant Leaf Disease Recognition Dataset

description: Dataset Overview:
1. Contains images of plant leaves affected by various diseases (bacterial, fungal, viral) commonly found in agricultural crops.
2. Captured under controlled conditions, ensuring realistic and diverse real-world scenarios.
3. Includes images from multiple plant species and varying disease stages.

Types of Plant Leafs: 
1. Gourd (1147)
2. Hibiscus (1328)
3. Papaya (547)
4. Zucchini (1099)

Key Features:
1. Number of Images: 4121
2. Number of Augmented Images: 20956
3. File Formats: PNG, JPEG
4. Disease Types: Bacterial, fungal, and viral infections.
Applications:
1. Machine Learning: Used for training models in image classification, detection, and segmentation for disease recognition.
2. Agriculture Technology: Supports the development of mobile apps and automated systems for real-time plant health monitoring.
3. Agricultural Research: Helps in understanding the impact of diseases on plant species and their visual symptoms.
DOI: 10.17866/rd.salford.7447370.v1
title: HS Action Together - Nederlands

description: Dutch language resources from the Millions Hiding HS exhibit and display as part of the Community Science Showcase during GameLab. This event was part of Manchester Science Festival 2018, hosted at the University of Salford Library, MediaCityUK campus.
DOI: 10.6084/m9.figshare.12896879.v1
title: Example output for the SubcellularDistribution pipeline

description: Example output files for the SubcellularDistribution pipeline. These results were generated using the "rna" and "centrosomes" test dataset and the code available at https://github.com/pearlryder/subcellular-distribution-pipeline
DOI: 10.6084/m9.figshare.14067131.v1
title: Carrot F3 VCF file

description: This VCF file was generated using Genotyping-by-sequencing (GBS) to genotype the carrot F3 mapping population in this publication.
DOI: 10.6084/m9.figshare.21365145.v1
title: Kermany et al

description: #Data and code needed to reproduce the results in the article entitled: #Individual (co)variation in locomotor activity, temporal plasticity and predictability within a novel environment #by #Natalie Kermany, Julien G.A Martin & Vincent Careau* #Department of Biology, University of Ottawa, Ottawa, ON, Canada # #for questions, please send an email to: #Vincent Careau vcareau@uottawa.ca <br>
DOI: 10.6084/m9.figshare.24968322.v1
title: <b>Genetic risk score for insulin resistance based on gene variants associated to amino acid metabolism in young adults</b>

description: Anonymized data set containing anthropometric, clinical, biochemical and genotyping characteristics of participants (n=452).
DOI: 10.6084/m9.figshare.28151285.v1
title: Code associated with the manuscript "High short tandem repeat mutation recurrence in heat-stressed Arabidopsis thaliana lines" by William B. Reinar, Anne Greulich, Vilde O. Lalun, Melinka A. Butenko, and Kjetill Jakobsen.

description: This repository contains a Python Notebook with code ('arabidopsisGenerationAnalysisBashNotesSubsampling-Copy1.ipynb' used to map, align and perform initial variant calling and quality control of raw reads resulting from the mutation accumulation experiment. The raw reads are available from NCBI Short Read Archive accession: PRJEB70284.The repository also contains:Variant calls from HipSTR (raw and filtered) and GATK4.0.A Python Notebook ('Gen_Pipeline_and_Figures-Copy1.ipynb' with the code used to identify accumulated variants, do statistics and produce figures.<br>
DOI: 10.6084/m9.figshare.5124889.v1
title: Supplementary Material for: History of Suicidal Behaviour and Analgesic Use in Community-Dwelling Elderly

description: Medicine
DOI: 10.6084/m9.figshare.15257394.v1
title: Supplementary Material for: A Phase 1 Study of a CDH6-Targeting Antibody-Drug Conjugate in Patients with Advanced Solid Tumors with Evaluation of Inflammatory and Neurological Adverse Events

description: <b><i>Purpose:</i></b> This first-in-human study (NCT02947152) evaluated the safety, tolerability, pharmacokinetics, and preliminary efficacy of HKT288, a first-in-class CDH6-targeting antibody-drug conjugate (ADC). <b><i>Experimental Design:</i></b> HKT288 was administered intravenously (IV) every 3 weeks until patients experienced unacceptable toxicity or progressive disease (PD). The starting dose of 0.3 mg/kg was determined based on the highest nonseverely toxic dose in monkeys, which was 2 mg/kg IV weekly. Based on preclinical toxicology, skin, eyes, bone marrow, and liver were expected targets of toxicity. <b><i>Results:</i></b> Nine patients were enrolled: 5 with renal cell carcinoma and 4 with epithelial ovarian cancer. The best overall response on the 0.3 mg/kg cohort in patients with measurable disease was RECIST v1.1 stable disease in 3 patients and PD in 2 patients. The most frequent adverse events (AEs) regardless of causality were pyrexia (44.4%), constipation (44.4%), fatigue (33.3%), and vomiting (33.3%). Three suspected-related neurologic AEs (Grade 2) were reported on the 0.75 mg/kg cohort: seizure in 1 patient and another patient with aphasia and encephalopathy. Further studies were unable to identify the underlying mechanism of the neurologic AEs, and the study was terminated early. <b><i>Conclusions:</i></b> Preclinical toxicology did not predict the neurotoxicity observed with HKT288, and a comprehensive assessment performed post hoc did not identify the mechanism of toxicity. The development of further CDH6-targeting ADCs should be pursued with caution.
DOI: 10.6084/m9.figshare.26029363.v1
title: <b>Thirty years of ground deformation monitoring at Stromboli volcano</b>

description: Since 1992, INGV has collected tilt, GNSS (Global Navigation Satellite System) and strainmeter data, for the monitoring of effusive and explosive activity of Stromboli volcano. In this timespan, ground deformations related to eruptive activity, paroxystic explosions, cycles of inflation/deflation and many other phenomena of volcanological and geophysical interest have occurred. The dataset from the permanent geodetic networks spans the period 1992/2022 and the sampling rate is variable, depending on the individual instrument: from the daily 3D coordinates of GNSS stations to the 1 Hz data of the strainmeter. The time series of GNSS, tilt and strainmeters data cover the entire spectrum of the volcanic and tectonic events that can be studied. Furthermore, the GNSS velocity field is provided.
DOI: 10.6084/m9.figshare.27616020.v1
title: Original western blots for Fig S5

description: This file contains original western blot images used in Fig S5 of Scott & Arnold et al.
DOI: 10.6084/m9.figshare.9208979.v3
title: 1000 genomes (phase 3) files with SNPs in common with HapMap3 and UK Biobank

description: This provides 2490 (mostly unrelated) individuals of the 1000 genomes project (phase 3) in PLINK bed/bim/fam format. The SNPs are restricted to the ones in common with HapMap3 and UK Biobank (~1.7M).<br><br>The R code that has been used to generate these data is also provided.<br><br>Do not forget to cite the 1000 genomes project.<br>TODO: add citation + mine<br>
DOI: 10.17632/k4x4558nvb
title: Data for: Assessing the impact of renewable energy sources on the electricity price level and variability - a Quantile Regression approach

description: The data includes the .m files for Matlab codes: 1. program_all_days.m - the main file 2. bootstrap_qr.m - the function used for bootstrap analysis 3. qr.m - the function used for estimation of the quantile regression parameters
DOI: 10.17632/xf9ck7ntbs
title: Data for: Cyberbullying Detection: Utilizing Social Media Features

description: A comprehensive cyberbullying dataset including social media features.
DOI: 10.6084/m9.figshare.13487277.v1
title: HPOFiller_data

description: This is the prediction result generated by HPOFiller which contains the inferred protein-phenotype associations. The first column is the rank, the second column is the UniProt ID of protein, and the last one is the HPO term ID. The items are sorted by likelihood in descending order.
DOI: 10.6084/m9.figshare.19314073.v1
title: Episodic continental extension in eastern Gondwana during the mid-late mesozoic: insights from geochronology and geochemistry of mafic rocks in the Tethyan Himalaya

description: Mesozoic extension and rifting processes of the Gondwana continent are critical for understanding the opening and formation of the Indian Ocean. Here, we report petrological, geochemical, zircon U–Pb age, and Lu–Hf isotopic data of mafic dikes in the central Tethyan Himalaya to reveal the timing and mechanism of the eastern Gondwana rifting. These mafic rocks exhibit two groups in terms of TiO<sub>2</sub> and MgO contents (Group I with TiO<sub>2</sub> &lt; 2.0 wt.%, whereas Group II with TiO<sub>2</sub> &gt; 2.0 wt.%), but (1) they have similar trace elements patterns and exhibit enriched Light Rare Earth Element (LREE) patterns without Eu anomalies and (2) they have a wide range of zircon ε<sub>Hf</sub>(t) values. Both the above geochemical characteristics are similar to those of the Oceanic Island Basalt (OIB). However, they also show typical features of continental crust input. Compared to Group II, Group I has higher MgO, Cr, and Ni abundances (more primitive) and more depleted Nb-Ta contents, which are similar to those of lower TiO<sub>2</sub> Dala mafic rocks, suggesting that the continental crust signature was mainly inherited from the Greater India subcontinental lithospheric mantle (GI-SCLM). Therefore, the mafic rocks here were mainly derived from a hybrid source from both OIB-like enriched mantle and GI-SCLM. Furthermore, two groups of zircon U–Pb ages have been identified: the first group with a weight mean age of 139.9 ± 0.2 Ma, whereas the second group with a weight mean age of 163.2 ± 0.9 Ma. The Middle Jurassic zircons show similar characteristics to those of intermediate to acidic igneous rocks in the continental setting, and thus they might record a stage of magmatism associated with a tectonic extension event in the Indian passive continental margin. The Early Cretaceous ages represent the crystallization timing of the mafic dikes, which are coeval with most mafic rocks in the Tethyan Himalaya. Based on these observations and the literature data in the Tethyan Himalaya, we proposed that the Kerguelen plume was incubating underneath the Tethyan Himalaya at ca. 140 Ma, but it was not located in the triple junction among the Antarctic, Australian and Indian plates. Therefore, the Kerguelen plume might play a synergistic role in the break-up of eastern Gondwana, which had experienced at least two stages of tectonic extension during the Mid-Late Mesozoic.
DOI: 10.6084/m9.figshare.2082706.v1
title: Japanese Elder’s Language Index Corpus v2

description: A corpus database managed by the MedNLP Laboratory, Kyoto University, Japan. This corpus was compiled using data from 22 people aged 74 to 86 years (mean age: 78.32 years; standard deviation [SD]: 3.36) who agreed to provide data for research purposes. This corpus also includes under 74 data (total 30 data).
DOI: 10.6084/m9.figshare.9917633.v2
title: Data from: Individual and seasonal variation in contact rate, connectivity and centrality in red fox (Vulpes vulpes) social groups

description: Data used to analyse red fox contact rates and social networks. Results are published in thesis chapter 5 and a paper titled "Individual and seasonal variation in contact rate, connectivity and centrality in red fox (Vulpes vulpes) social groups" that is currently under peer review.<br>For a full description of each file refer to the file data_dictionaries_and_description.docx.
DOI: 10.17632/b6s9wnxgfm
title: "What is the potential of sugarcane borer in reducing sorghum fitness and grain production?"

description: Pest attack is an important biotic threat to sorghum productivity, and one of the main insect pests of grain sorghum is sugarcane borer (SCB) Diatraea saccharalis. Despite the importance of this insect species, little is known about the relationship between SCB infestation and reduction in sorghum grain yield, as well as on the gain threshold and economic injury level for decision-making of pest control. This study evaluated the influence of SCB infestation on plant performance and grain production in three commercial grain sorghum hybrids. Hybrids AG1090, BRS 373, and DKB 590 were planted in three crop seasons in Sete Lagoas, Brazil, and six treatments were assessed in the experiments, consisting of three grain sorghum hybrids with and without the insecticide chlorantraniliprole at 52.5 g a.i. ha-1 under SCB natural infestation. The parameters evaluated on sorghum plants were the length of tunnels, plant height, length and weight of panicles, stem borer injury, and grain yield. The infestation of SCB were higher when sorghum plants were not treated with insecticide, resulting in lower productivity. The use of insecticide increased plant height, reduced tunnel length, and increased panicle length and weight. Hybrids only affected panicle weight. The hybrid that presented the highest panicle weight when using the insecticide was AG 1090. Hybrids AG 1090 and DKB 590 showed reduced grain production with increasing gallery length, whereas BRS 373 did not show a significant correlation, which may suggest a certain level of tolerance to SCB attack. This is the first study that determines the gain threshold and economic injury level and that effectively shows how much grain yield is lost by SCB attack in grain sorghum hybrids.
DOI: 10.6084/m9.figshare.12423791.v1
title: Clinical phenotype information for Rheumatoid Arthritis Patients and Healthy controls

description: Clinical phenotype for RA-Map (Early RA) and Vaccine recipient samples
DOI: 10.6084/m9.figshare.19146365.v1
title: Point Cloud Segmentation from iPhone-Based LiDAR Sensors Using the Tensor Feature

description: datasets used in the experiment
DOI: 10.6084/m9.figshare.19688043.v1
title: Interictal high-density scalp EEG in focal epilepsy patients

description: This dataset includes de-identified interictal spike information in 20 focal epilepsy patients who became seizure-free after surgery. This dataset has been used and analyzed to study epilepsy sources and the results are reported in: Sun R, Sohrabpour A, Worrell GA, He B: “Deep Neural Networks Constrained by Neural Mass Models Improve Electrophysiological Source Imaging of Spatiotemporal Brain Dynamics.” <em>Proceedings of the National Academy of Sciences of the United States of America</em> 119.31 (2022): e2201128119. <br> Please cite the above paper if you use any data included in this dataset. Codes related to this study are also available from (https://github.com/bfinl/DeepSIF). Clinical information of the patients are described in the Supplementary Table S1 of the paper. This dataset was collected under support from the National Institutes of Health via grants NS096761 and EB021027 to Dr. Bin He and Dr. Greg Worrell. The human data were collected and de-identified as part of NIH funded research at Mayo Clinic, Rochester, overseen by Dr. Greg Worrell, and processed and organized at Dr. Bin He’s lab at Carnegie Mellon University. The data are shared for information only. The EEG recorded in this dataset follows a 10-10 system and contains 76 channels of recording. One channel is the reference channel and given that we use a common reference channel for source imaging this channel is removed from the topographical map data and the corresponding rows of the lead-field matrix for each patient, equals 75. The EEG data were filtered between 1-40 Hz and a common average reference was used to pre-process the data. <br> The data include three variables: * spike_peak_data: Contains the topographical EEG map at the peak of the spike selected in each individual patient. * patient_id: patient index corresponding to the patient ID in Supplementary Table S1 of the paper. * eloc: electrode information in EEGLAB (https://sccn.ucsd.edu/eeglab/index.php) format. <br>
DOI: 10.6084/m9.figshare.27612528.v1
title: 《中国地下水水质演变》数据和代码

description: This repository contains the main code and source data used in the analysis and modeling for our paper, "Groundwater Quality Evolution Across China", submitted to Nature Communications.
DOI: 10.17632/23tcsdt2hc
title: Supplement for FRONTIER-2: A phase 2b, long-term extension, dose-ranging study of oral JNJ-77242113 for the treatment of moderate-to-severe plaque psoriasis

description: Supplemental material in support of the article "FRONTIER-2: A phase 2b, long-term extension, dose-ranging study of oral JNJ-77242113 for the treatment of moderate-to-severe plaque psoriasis"
DOI: 10.17632/n7z9nw4rwj
title: Data and code for study entitled "Do environmental fluctuations during development affect trait variation? An experimental test with salinity"

description: We tested how developmental environments (freshwater, stable-saline, fluctuating-saline) influence variation in life-history traits (age at maturity, size at maturity, relative gut length, immunity) and reproductive traits in both sexes – females (egg number, egg size) and males (relative gonopodium length, sperm count, sperm velocity) at both young and old adult stages (before and after 12 weeks of mating).

We have attached the raw data spreadsheet (Raw data.xlsx). For young males, life-history and reproductive traits were measured in different individuals and are provided in separate sheets. For young females, old females, and old males, all traits were measured on the same individuals and are combined in a single sheet for each group. We analysed mean egg size in our models; individual egg size data for young females are also included in the raw data file.

The R code (Trait variability.R) was run using R v1.3.1093. Analyses used data from female.csv and male.csv.

----- Analytical approach ----- 

We used Bayesian multivariate mixed-effects models to estimate trait covariances and test whether developmental environment affected both trait means and variances, run separately for each age–sex group. Separate models were used for young males' life-history and reproductive traits. Environment (3 levels) was included as a fixed effect, with brood identity as a random effect. Traits including age at maturity, immunity, egg number (young females), and sperm count were power transformed to improve normality. Each model used four MCMC chains (5000 iterations, 1000 burn-in), with convergence confirmed (Rhat = 1) and effective sample sizes &gt;1480.

To test environmental effects on trait variance, we modelled both trait means and standard deviations (SDs) on a log scale. We calculated:

 lnVR = ln(SD1/SD2), to assess changes in raw variance

 lnCVR = ln(CV1/CV2), to assess changes in relative variance (accounting for trait means)

We compared specific environment pairs to assess:

 Effect of salinity: stable salinity vs freshwater

 Effect of fluctuations: fluctuating salinity vs stable salinity
DOI: 10.6084/m9.figshare.19383293.v1
title: Genomic selection for visceral white-nodules disease resistance in large yellow croaker

description: A total of 607 individuals and 46,039 high-quality SNP datasets were constructed and used for GS analysis. Different SNP panels and GS models were evaluated to select the most appropriate analysis strategy for VWND resistance and used to calculate genomic estimated breeding values (GEBV) for candidate populations. The top GEBV-ranked individuals in the candidate population were selected for the breeding of resistant strains (RS). The results of resistance evaluation experiments showed that there were significant differences in VWND resistance between RS and control groups. This study can provide a theoretical basis for disease resistance breeding of marine fish, and also provide experimental materials and data support for the upcoming further research on VWND resistance.
DOI: 10.6084/m9.figshare.28999259.v2
title: Quantitative Assessment of Gene Expression Changes for Additional Vascular Junction Proteins in Cerebral Microvessels from Murine Brain Slices Cultured for 12- and 24-hours.

description: Quantitative assessment of gene expression changes for the heterocellular adhesion molecule N-cadherin (N-Cad/Cdh2), tight junction adapter molecule Zonula Occludens-1 (ZO-1/Tjp1), and Junctional Adhesion Molecule-3 (JAM3) in cerebral microvessels of murine brain slices cultures for 0 hours, 12 hours, or 24 hours in oxygenated artificial cerebral spinal fluid (aCSF).
DOI: 10.6084/m9.figshare.5436241.v1
title: Sheets containing simulation parameters and results

description: Sheets containing the data included in the Tables of the SI.<br>
DOI: 10.6084/m9.figshare.c.3690579_d10.v1
title: Additional file 20: of Anopheline salivary protein genes and gene families: an evolutionary overview after the whole genome sequence of sixteen Anopheles species

description: Phylogenetic data. The zipped file includes data used for the phylogenetic trees reported in Fig. 3 and Additional files 3, 5, 8, 10, 13 and 15. The.meg files are the protein alignments used for the construction of the phylogenetic trees (.mts files). All the files are in MEGA format and can be viewed using the software MEGA (Molecular Evolutionary Genetic Analysis). (ZIP 147 kb)
DOI: 10.17632/3dvjgvv5bz
title: Fault Simulation Dataset for 110 kV Power Transmission Lines

description: This dataset contains simulated fault events for fault detection, classification, and localization in 110 kV power transmission lines. The simulations were conducted using DIgSILENT PowerFactory, with a Python script automating fault generation, data extraction, and dataset compilation. The simulations include three fault types: single-phase-to-ground fault (spgf), two-phase short circuit (2psc), and three-phase short circuit (3psc). Each fault type was simulated with fault locations varying from the beginning to the end of the transmission line in 5% increments, ensuring comprehensive spatial coverage along the lines. Additionally, a no-fault scenario was included to represent normal operating conditions, where system loads were incrementally varied by 0.1 MW to simulate typical fluctuations in power demand.

The dataset contains 24 input variables that describe the electrical state of the system under both fault and no-fault conditions. 
Features
Voltage Magnitudes: Line-to-ground voltage magnitudes for phases A, B, and C at busbars:
 Ua1, Ub1, Uc1 - Bus 1
 Ua2, Ub2, Uc2 - Bus 2
 Ua3, Ub3, Uc3 - Bus 3
Short-Circuit Current Magnitudes: Initial (subtransient) short-circuit current magnitudes for phases A, B, and C at the beginning of transmission lines:
 Ia1, Ib1, Ic1 - Line 1
 Ia2, Ib2, Ic2 - Line 2
 Ia3, Ib3, Ic3 - Line 3
 Ia4, Ib4, Ic4 - Line 4
 Ia5, Ib5, Ic5 - Line 5

Targets
The target variables for classification and regression tasks are:
 Fault: Type of fault (spgf, 2psc, 3psc, or no-fault)
 Line: Faulted line (Line1, Line2, Line3, Line4, Line5, or NONE in case of no-fault)
 Position: Fault position along the line (0%, 5%, ..., 100%, or NONE in case of no-fault)

The dataset consists of 618 samples, covering various fault and normal operating scenarios. For each sample:
Fault events are labeled by fault type, faulted line, and fault position. 
No-fault scenarios are included to improve model robustness in distinguishing between fault and normal operating conditions.

The dataset provides a comprehensive and systematic representation of electrical behaviors under faults and normal conditions, facilitating fault detection, classification, and localization tasks. The integration of DIgSILENT PowerFactory simulations with Python ensures accuracy and reproducibility in data generation.