cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23803938.v1
title: The chromosome-level haploid genome Assembly of Malus domestica ‘Fuji’

description: Apple (Malus domestica) is one of the main cultivated fruit trees in China, and the 'Red Fuji' apple (Malus domestica cv. Red Fuji) is the predominant apple cultivar in the country. Molecular-assisted breeding based on genomic sequence information has made significant achievements in apple breeding. Genome sequencing and annotation provide a more comprehensive understanding of genetic information, especially species-specific genes. Analysing the haploid genome of a heterozygous diploid organism helps explore the differential gene expression derived from the parental genomes. We have successfully deciphered the haploid genome of the 'Red Fuji' apple, and the complete and accurate haploid genome provides a solid foundation for subsequent comparative genomics and transcriptome analyses. In the future, further integration of the Fuji apple genome with other omics data will enhance our understanding of the biological characteristics of the Fuji apple. This will facilitate apple quality improvement and the development of new apple varieties through targeted breeding efforts. By harnessing the power of genomics and molecular-assisted breeding, we can identify desirable traits and accelerate the breeding process, ultimately leading to the production of improved apple cultivars that meet the demands of consumers and the industry.
DOI: 10.6084/m9.figshare.28785923.v1
title: Average shrimp growth and water quality parameters in eco-green aquaculture

description: This dataset contains average whiteleg shrimp growth and water quality parameters measurement from an eco-green aquaculture system in Indonesia from 2021 to 2023.
DOI: 10.6084/m9.figshare.14429147.v1
title: Additional file 5 of Predicting tumor response to drugs based on gene-expression biomarkers of sensitivity learned from cancer cell lines

description: Additional file 5: Table S4. Predicted pan-tumor median ln (IC50) values for tumor and normal samples
DOI: 10.6084/m9.figshare.21975899.v1
title: EJN-Data

description: Graph theory based measures (Measure) for each participant (ID) depending on Group.
DOI: 10.6084/m9.figshare.28477670.v2
title: <b>Seasonal variation o</b><b>f air-se</b><b>a CO</b><b>2</b><b> flux and contribution of biological processes to carbon source/sink in a large river-dominated shelf sea</b><b> biological processes to carbon source/sink in a large river-dominated shelf sea</b>

description: The dataset involves oceanographic chemical data from the Changjiang plume-impacted shelf area across four seasons. The sampling periods are as follows: winter (December 25, 2006 - February 5, 2007), spring (March 26 - May 10, 2007), summer (July 15 - August 25, 2006), and autumn (October 3 - December 6, 2007).
DOI: 10.6084/m9.figshare.28560203.v1
title: Replication Package for Data Quality in AI-based Systems

description: This package contains the materials for our survey study involving 91 participants on <b>"How to Ensure High-Quality Data for AI? Lessons from Practitioners."</b> It includes:The raw survey data and demographic chartsPython script for generating figureThe survey questionnaireThis package enables replication and further analysis of our study findings.
DOI: 10.6084/m9.figshare.28891511.v1
title: Exocarpium Citri Grandis Attenuates Lipopolysaccharide-Induced Acute Liver Injury Through Dual Suppression of Data for Inflammatory Response and Apoptotic Pathways

description: This study investigates Exocarpium Citri Grandis (ECG)'s therapeutic effects on LPS-induced acute liver injury (ALI) through network pharmacology and murine models. ECG treatment significantly reduced serum AST/ALT levels and alleviated hepatic damage in mice, as confirmed by histopathological analysis. The herbal extract demonstrated dual anti-inflammatory and anti-cell death mechanisms by downregulating pro-inflammatory cytokines (IL-6, IL-1β, TNFα) through qPCR analysis, while simultaneously modulating apoptosis and ferroptosis markers. Network pharmacology revealed ECG's multi-target action on critical pathways involving inflammation regulation and cell survival. Molecular docking simulations validated interactions between ECG's bioactive components and key apoptotic/inflammatory regulators. These findings position ECG as a promising natural therapeutic for ALI treatment, combining traditional medicinal use with evidence-based mechanisms of action. The integrated approach confirms ECG's potential to mitigate liver injury through coordinated modulation of inflammatory responses and programmed cell death pathways, warranting further clinical exploration of this traditional Chinese medicine for managing severe hepatic conditions.
DOI: 10.6084/m9.figshare.6142820.v1
title: Trial Survival

description: Individual wild meerkats (coded with an identifier unique to each animal) were followed over time and repeatedly captured and sampled for disease. Social groups of meerkats were allocated to one of three treatments...either the dominants in a group were vaccinated, the subordinates were vaccinated, or no animals were vaccinated. The uploaded spreadsheets were used to carry out survival analysis looking at either survival time until all-cause mortality, or time until testing positive for TB for the first time. Each individual's time in the study is broken up into sections of time divided by capture events.
DOI: 10.6084/m9.figshare.13530587.v6
title: A dataset with ground reaction forces of human balance in Parkinson's disease

description: The dataset comprises signals from the force platform (raw data for the force, moments of forces, and centers of pressure) of 32 individuals with Parkinson's disease plus one file with information about the patients and balance conditions and the results of the other evaluations. Patient’s balance was evaluated in ON and OFF medication by posturography using a force platform and by the Mini Balance Evaluation Systems Tests. In the posturography test, we evaluated patients during standing still for 30 s in four different conditions where vision and the standing surface were manipulated: on a rigid surface with eyes open; on a rigid surface with eyes closed; on an unstable surface with eyes open; on an unstable surface with eyes closed. Each condition was performed three times and the order of the conditions was randomized among subjects. In addition, the following tests were employed in order to better characterize each patient: Unified Parkinson's disease rating scale motor aspects of experiences of daily living (UPDRS-II) and motor score (UPDRS-III), Hoehn & Yahr (H&Y), New Freezing of Gait Questionnaire (NFOG-Q), Montreal Cognitive Assessment (MoCA), and Falls Efficacy Scale International (FES-I). The patients were also interviewed to collect information about their socio-cultural, demographic, and health characteristics.<br>
DOI: 10.6084/m9.figshare.20411424.v2
title: Crop classification maps for Northeast China

description: This dataset maps the distribution of crop types in Northeast China with the 30-m resolution with reliable accuracies. We believe our dataset can be helpful for relevant studies on regional agricultural production management. <br> If you want to use this dataset, please cite our paper. <br> Xuan, F., Dong, Y., Li, J., Li, X., Su, W., Huang, X., ... & Zhang, Y. (2023). Mapping crop type in Northeast China during 2013–2021 using automatic sampling and tile-based image classification. <em>International Journal of Applied Earth Observation and Geoinformation</em>, <em>117</em>, 103178.
DOI: 10.6084/m9.figshare.22787405.v1
title: GBD for Breast Cancer

description: The file contains separate sheets that provide pertinent metadata for assessing the incidence and mortality rates of breast cancer based on various factors such as time, gender, region, country, and socio-demographic index (SDI). In addition to this information, the document also includes data on the World population age standard, the HDI of different countries in 1990, and Global Population Forecasts spanning from 2017 to 2100.
DOI: 10.17632/x6rpc5nzzm
title: CAIR-BGD-2025: Annotated Dataset for Bottle Gourd Disease & Growth Stages

description: This dataset is a comprehensive resource for researchers and professionals in agriculture, machine learning, and computer vision. It is designed to enhance the detection and classification of bottle gourd plant diseases and growth stages using AI-driven solutions.

The dataset was collected from bottle gourd fields in Charpolisha, Jamalpur, between December 2024 and February 2025, under the supervision of an agricultural expert. The data collection process was supported by the Cognitive AI & Informatics Research Lab (CAIR Lab), ensuring high-quality image acquisition and precise annotation.

Dataset Structure
The dataset is divided into two primary categories:

A. Bottle Gourd Disease Dataset
This section contains images illustrating various disease conditions affecting bottle gourd plants, ensuring detailed classification and analysis.

Anthracnose
Downy Mildew
Pest Infestation
Nutrient Deficiency
Dry Leaf Disorder
Healthy Leaf
📌 Original Dataset: 1,639 high-resolution images (.jpg)
📌 Augmented Dataset: 9,000 enhanced images

B. Bottle Gourd Growth Stage Dataset
This section captures key developmental stages of bottle gourd plants, assisting in growth monitoring and yield assessment.

Flower
Immature Gourd
Mature Gourd
📌 Original Dataset: 442 high-resolution images (.jpg)
📌 Augmented Dataset: 4,500 enhanced images

Significance
This dataset plays a crucial role in advancing AI-driven agricultural research by enabling:

✅ Early and accurate disease detection in bottle gourd plants
✅ Automated crop monitoring for enhanced yield prediction
✅ Sustainable farming practices through precision agriculture

This dataset offers well-structured, annotated images, making it a valuable tool for developing computer vision-based solutions in bottle gourd plant health assessment and crop management.
DOI: 10.6084/m9.figshare.11314232.v1
title: EFFICIENCY INDICATORS TO EVALUATE SERVICES IN PORT SERVICES: A PROPOSAL USING FUZZY-AHP APPROACH

description: ABSTRACT This paper describes a plan to develop a prioritization model of efficiency indicators to evaluate the services provided by seaports to ships in terms ofeconomicity, quality, and reliability. The methodology adopted is applied research, using a case study carried out in a Brazilian seaport. The approach used as an intervention tool in the elaboration of the model is the Fuzzy-Analytical Hierarchy Process. The results suggest the prioritization of economicity over the other two criteria of reliability and quality.
DOI: 10.6084/m9.figshare.19134239.v1
title: OME.TIFF (WSI)

description: Dicomized distinct proprietary files of microscope imaging modalities
DOI: 10.6084/m9.figshare.25988695.v1
title: Concentration of PCB congeners and total PCBs in edible seaweed species of the Salish Sea

description: PCB congener concentrations converted to dry weight ng/g for seaweed species. Congeners with co-eluents are labelled with all co-eluents. Species codes AM = <i>A. marginata</i>, NL = <i>N. luetkeana</i>, GS = <i>Gracilaria </i>sp., SG = <i>S. gaudichaudii,</i> and UL = ulvoid seaweed.
DOI: 10.17632/tx363vvzfj
title: Sediment heavy metal data from the Danjiang River Basin

description: Sediment heavy metal data from the mainstem and tributaries of the Danjiang River and the Danjiangkou Reservoir.
DOI: 10.6084/m9.figshare.22492843.v1
title: Supplementary File 21

description: Character matrix and descriptions (Vertebrate_disparity_matrix.nex) and tree with estimated ancestral character states (Disparity.tre) used for the phenotypic disparity analyses. Related to Figure 5g,h.
DOI: 10.6084/m9.figshare.28539134.v1
title: tutorial data of PASSAGE model

description: Spatially resolved transcriptomics (SRT) is poised to advance the understanding of cellular organization within complex tissues under various physiological and pathological conditions at unprecedented resolution. Despite the development of numerous computational tools that facilitate the automatic identification of statistically significant intra-/inter-slice patterns (like spatial domains), these methods typically operate in an unsupervised manner, without leveraging sample characteristics like physiological/pathological states. Here PASSAGE (Phenotype Associated Spatial Signature Analysis with Graph-based Embedding), a rationally-designed deep learning framework is presented for characterizing phenotype-associated signatures across multiple heterogeneous spatial slices effectively. In addition to its outstanding performance in systematic benchmarks, PASSAGE's unique capability in calling sophisticated signatures has been demonstrated in multiple real-world cases. The full package of PASSAGE is available at https://github.com/gao-lab/PASSAGE.
DOI: 10.6084/m9.figshare.28856366.v2
title: Prediction models

description: Nothing
DOI: 10.6084/m9.figshare.3528272.v1
title: Supplement 1. Visual Basic source code containing the algorithms described in this paper.

description: File List <i>All files at once</i> BBridgeCode.zip -- zip file containing Visual Basic executable, source code, and example input file. <i>Individual files</i> BrownianBridgeExecutable.exe – Executable Visual Basic program<br> ProjBrownianBridge.vbp.txt – Source code for Visual Basic program<br> ProjBrownianBridge.vbw.txt – Source code for Visual Basic program<br> FrmBBAnalysis.frm.txt – Source code for Visual Basic program<br> FrmGridExtent.frm.txt – Source code for Visual Basic program<br> FrmOpenFileBB.frm.txt – Source code for Visual Basic program<br> FrmSaveASBrownBridge.txt – Source code for Visual Basic program<br> Mod1DMinimization.bas.txt – Source code for Visual Basic program<br> ModFileManagement.bas.txt – Source code for Visual Basic program<br> ModPublicVariablesBB.bas.txt – Source code for Visual Basic program<br> ExampleInput.txt – Example input file<br> Description BrownianBridgeExeecutable.exe calculates the utilization distribution (i.e., probability function) based on temporally explicit location data. Algorithms are described in the original paper. The user loads a location file containing tab-delimited columns representing the <i>x</i>-coordinate, <i>y</i>-coordinate, and time of each location. The input file should have column headings such as “<i>x</i>-coordinate”, “<i>y</i>-coordinate” and “RunningClock”. An example input data file, ExampleInput.txt, is available from the file list. Output grid is a text file containing <i>x</i> and <i>y</i> coordinates of the grid along with associated probability-of-occurrence at that grid location.
DOI: 10.6084/m9.figshare.28931372.v1
title: 第二组

description: DATA
DOI: 10.6084/m9.figshare.5127562.v1
title: Supplementary Material for: Subjektiver sozialer Status. MacArthur-Skalen zur Erfassung des wahrgenommenen sozialen Status im sozialen Umfeld (SSS-U) und in Deutschland (SSS-D)

description: Medicine
DOI: 10.17632/fgk42n93ks
title: Bayesian network analysis for maintenance strategy selection

description: Maintenance strategy selection plays a key role in the efficient management of industrial assets. The objective of this research was to develop a Bayesian network-based maintenance strategy selection model using criteria from the scientific literature.
DOI: 10.6084/m9.figshare.21383757.v1
title: Gynandropsis gynandra genome assembly v2.0 - Hoang et al., 2023. Plant Cell. https://doi.org/10.1093/plcell/koad018

description: Gynandropsis gynandra genome assembly v2.0 - Supplemental Data - supporting the findings in "<strong>The </strong><em><strong>Gynandropsis gynandra</strong></em><strong> genome provides insights into whole-genome duplications and the evolution of C4 photosynthesis in Cleomaceae", </strong>Hoang et al. 2023. Plant Cell. https://doi.org/10.1093/plcell/koad018
DOI: 10.17608/k6.auckland.5207884.v1
title: Data Zones for New Zealand

description: A fileset containing the lookup tables/ concordance files to aggregate 2013 Census Meshblocks to Data Zones
DOI: 10.6084/m9.figshare.19125677.v1
title: Phosphate Dysregulation_MixSeq after XPR1 knockout

description: 2,501 high-quality cells from XPR1 knockout MIX-seq experiment in standard 10X format (barcodes.tsv, genes.tsv, matrix.mtx) with additional metadata.tsv file indicating cell line ('singlet_ID' column) and condition ('hash_tag' column) for each cell.
DOI: 10.6084/m9.figshare.23938530.v1
title: Genotype diversity enhances invasion resistance of native plants via soil biotic feedbacks

description: Data and code for "Cai Cheng, Zekang Liu, Qun Zhang, Xing Tian, Ruiting Ju, Bo Li, Mark van Kleunen, Jonathan M. Chase, Jihua Wu. 2024. Genotype diversity enhances invasion resistance of native plants via soil biotic feedbacks. Ecology Letters".
DOI: 10.6084/m9.figshare.25375930.v1
title: 博士论文-相关数据表

description: 包含博士论文的多基因进化分析用到的菌株、条形码序列GenBank登录号，全基因组获取链接及相关信息。
DOI: 10.6084/m9.figshare.29054147.v1
title: Maintenance process durations

description: This dataset includes duration times regarding 38 tasks related to a machine maintenance process in a multinational company. The total process was measured 30 times and the durations were recorded task-wise.The Excel spredsheet fileincludes two Sheets:data: This table contains the 30 measured duration values per each task.definitions: This bale contains the description of each task in the machine maintenance process.
DOI: 10.6084/m9.figshare.7914215.v1
title: gVCF_HG03680

description: 1000 Genomes gVCF mapped to hs37d5 for HG03680. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.17632/dphdhndgwx
title: Supplementary data for the manuscript Reproductive cycle of the sand mollusk, Leukoma pectorina (Lamarck, 1818)

description: Raw data (morphometrics data: shell height (mm), shell width (mm), shell length (mm), and weight (g); histological data: sex and maturation stages, and environmental data: temperature and salinity) used in the manuscript "Reproductive cycle of the sand mollusc, Leukoma pectorina (Lamarck, 1818)".
DOI: 10.6084/m9.figshare.20410842.v1
title: Results of the test

description: Results of the test
DOI: 10.6084/m9.figshare.28646969.v1
title: TCAN

description: In the domain of electronic warfare, radar signal deinterleaving emerges as the foundational and indispensable phase of electronic reconnaissance. The ever-increasing complexity of electromagnetic environments, further compounded by technological advancements such as multi-function radars (MFRs), has led to the inadequacy of traditional deinterleaving techniques. To tackle these challenges, this paper introduces the Temporal Convolutional Attention Network (TCAN) framework. This framework harmoniously combines a temporal convolutional network (TCN) with an advanced attention mechanism, thereby significantly enhancing the system's signal sorting proficiency. Through rigorous experimental validation, we demonstrate that TCAN consistently outperforms existing baseline methods. This superiority is particularly pronounced under conditions of signal sparsity and in non-ideal environments, which are typified by pulse loss, spurious pulses, and measurement errors. Furthermore, we conduct a thorough analysis to elucidate the profound impact of various input formats and multi-parameter features on deinterleaving performance. By meticulously examining these factors, we establish TCAN as a robust and versatile solution capable of effectively navigating the heightened complexity of modern radar signal environments. Our findings highlight TCAN's potential as a potent instrument for augmenting electronic reconnaissance capabilities amidst evolving electromagnetic challenges
DOI: 10.6084/m9.figshare.29038007.v1
title: logistics efficency data.xlsx

description: <b>Development efficiency of green logistics in</b><b> </b><b>Guangdong province based on the </b><b>s</b><b>uper</b><b>-</b><b>SBM-GML index</b>
DOI: 10.17632/hvb39r62xw
title: Massively parallel in vivo Perturb-seq reveals cell type-specific transcriptional networks in cortical development

description: Raw and processed data associated with Zheng et al 2023 manuscript: the supplement tables, raw FASTQ files and processed Seurat objects are included. Code and pipeline repo at https://github.com/jinlabneurogenomics/aavperturbseq
DOI: 10.17632/wvhpf2hp8z
title: Experimental and analytical datasets for pressure drop and flow distribution in a Z-type flat-plate solar absorber 

description: This repository provides two dataset types for total pressure drop and parallel-flow distribution in a Z-type flat-plate solar thermal absorber with water as the working fluid. The first dataset consists of high-resolution pressure drop measurements at different temperatures under laminar and turbulent flow conditions obtained experimentally using a state-of-the-art hydraulic test rig. The second dataset comprises analytical data on flow distribution in the absorber. Conducting high-resolution pressure measurements, essential for evaluating thermo-hydraulic models, is a sensitive and time-demanding process requiring a relatively elaborated test rig to accurately measure pressure drop at different temperatures and flow rates in the presence of thermal equilibrium. In this context, engineers and researchers can use these datasets to compare and verify developed numerical models for thermo-hydraulic evaluation of pressure drop and flow distribution in flat-plate solar collectors under both laminar and turbulent flow regimes. The article also comprises analytical data for flow distribution in the absorber for several header configurations presented by dimensionless-flow-rate and non-uniformity. This data article is related to the following research article published by a peer-reviewed open access journal:
A. Shantia, W. Streicher, C. Bales, Effect of tapered headers on pressure drop and flow distribution in a Z-type polymeric solar absorber, Sol. Energy. 232 (2022) 283–297. https://doi.org/10.1016/j.solener.2021.11.048.
DOI: 10.6084/m9.figshare.14844069.v1
title: Global gridded maps of cropland-N2O emission factors and mitigation potentials

description: <b>Global gridded maps of cropland-N2O emission factors and mitigation potentials</b><b><br></b> <b>Citation:</b> Cui, X.; <b>Zhou, F.</b>*; Ciais, P.; Davidson, E. A.; Tubiello, F. N.; Niu, X.; Ju, X.; Canadell, J. G.; Bouwman, A. F.; Jackson, R. B.; Mueller, N. D.; Zheng, X.; Kanter, D.; Tian, H.; Adalibieke, W.; Bo, Y.; Wang, Q.; Zhan, X.; Zhu, D., Global hotspots of nitrous oxide mitigation potential in cropland. <i>Nature Food</i>. 2021, https://doi.org/10.1038/s43016-021-00384-9<br> <b> </b> <b>Contact:</b> Direct questions, additional information regarding publications and research by email to zhouf@pku.edu.cn. <b><br> Data Products:</b> 1. Global gridded maps of N<sub>2</sub>O EF by crop (including means and 95% CI) 2. Global gridded maps of N<sub>2</sub>O mitigation potential by crop (including means and 95% CI)<br> <b>License:</b> Creative Commons Attribution 4.0 International Data may be freely downloaded for research, study, or teaching, but must be cited appropriately. Re-release of the data, or incorporation of the data into a commercial product, is allowed only with explicit permission. If you would like to request permission to use this dataset for another purpose, please contact us at zhouf@pku.edu.cn.
DOI: 10.6084/m9.figshare.22723862.v2
title: <strong>Enhancing STEM Learning with ChatGPT and Bing Chat as Objects‑to‑Think‑With: A Case Study</strong>

description: Log capturing participants' interactions simulating STEM students' learning experiences with ChatGPT and Bing Chat, supporting findings and conclusions of the study "Enhancing STEM Learning with ChatGPT and Bing Chat as Objects to Think With: A Case Study," by Marco Antonio Rodrigues Vasconcelos and Renato P. dos Santos.