cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24590910.v2
title: Source Data for Manuscript.xlsx

description: The spread of many infectious diseases substantially relies on the aerosol transmission to respiratory tract. Here we design an intranasal mask comprising positively charged thermosensitive hydrogel and cell-derived microsized vesicles with viral receptor. The positively charged hydrogel intercepts the negatively charged viral aerosols, while the viral receptor on vesicles mediates the entrapment of viruses for inactivation. Upon displaying matched viral receptors, the intranasal masks protect nasal cavity and lung of mice from either severe acute respiratory syndrome coronavirus 2 or influenza A virus. With computerized tomography images of human nasal cavity, we further conduct computational fluid dynamics simulation and three-dimensional printing of an anatomically accurate human nasal cavity, which is connected to human lung organoids to integrate an human respiratory tract model. Both simulative and experimental results support the suitability of intranasal mask in humans, as the likelihood of viral respiratory infections induced by different variant strains is dramatically reduced.
DOI: 10.6084/m9.figshare.12250100.v3
title: Figure 2 - Concentration Response and Time Course.xlsx

description: RAW Data from the paper "<b>Cell death and biomass reduction in biofilms of multidrug resistant extended spectrum β-lactamase-producing uropathogenic <i>Escherichia coli</i> isolates by 1,8-cineole</b>" from Plos One.
DOI: 10.6084/m9.figshare.14910228.v1
title: Dataset for MARGO-S-21-00325

description: The datasets including hydrological data, floc size distribution data, tidal height data and suspended sediment concentration reported in manuscript (MARGO-S-21-00325).<br>
DOI: 10.6084/m9.figshare.28218143.v1
title: Transcripts with intraspecific variations in NMR.

description: Transcripts with intraspecific variations in NMR
DOI: 10.17632/4c376dt9kw
title: (De)twinning in magnesium alloy AZ31B by sXRD, EBSD, CP-FEM

description: Raw and analysed data for published paper https://doi.org/10.1016/j.ijplas.2019.02.018. Notable findings and conclusions can be found in the paper.
DOI: 10.17632/p3rsk4vr33
title: Supplemental material of Safety and efficacy of intermediate-, long-, and ultra-long-acting basal insulins in adults with type 1 diabetes: A systematic review and network meta-analysis

description: Safety and efficacy of intermediate-, long-, and ultra-long-acting basal insulins in adults with type 1 diabetes: A systematic review and network meta-analysis (Supplemental Material)
DOI: 10.6084/m9.figshare.17185553.v1
title: Gene-level analyses of specific Webervirus proteins of interest

description: Multiple-sequence alignments and newick trees for large subunit terminase and portal protein genes of <i>Webervirus</i> genomes.<br>
DOI: 10.6084/m9.figshare.19141919.v1
title: Original_screen_All_tissues_day1_data.csv.zip

description: Raw data supporting Jaaks and Coker et al., 2022 (10.1038/s41586-022-04437-2). Raw data from day 1 plates matched to the initial drug combination screen using cancer cell lines. Cell line viability assay measured by fluorescence intensity.<br>Users have a non-exclusive, non-transferable right to use data files for internal proprietary research and educational purposes, including target, biomarker and drug discovery. Excluded from this licence are use of the data (in whole or any significant part) for resale either alone or in combination with additional data/product offerings, or for provision of commercial services.<br>
DOI: 10.6084/m9.figshare.22807025.v1
title: <strong>Functional identity drives tree species</strong> <strong>richness-induced increases in litterfall production and forest floor mass in young tree communities</strong>

description: <strong>Functional identity drives tree species</strong> <strong>richness-induced increases in litterfall production and forest floor mass in young tree communities</strong>
DOI: 10.6084/m9.figshare.28483748.v1
title: <b>Asymmetric responses of soil dissolved organic carbon and dissolved organic nitrogen to warming: a meta-analysis</b>

description: Soil dissolved organic carbon (DOC) and dissolved organic nitrogen (DON) play pivotal roles in regulating soil carbon and nitrogen cycles. The global effects of experimental warming on DOC and DON concentrations and their relationship (DOC:DON) remain uncertain. This study integrates a dataset containing 321 separate DOC and 187 DON independent experiments to address the magnitude and direction of warming's impact on DOC and DON, as well as the key driving factors. Our results indicated that while warming did not significantly affect DOC concentrations, it led to a notable increase in DON concentrations (8.84%), consequently reducing DOC:DON ratio by 10.79%. Soil moisture emerged as the most influential factor (19.0%) driving DOC responses to warming, whereas soil nitrate nitrogen was the primary driver (33.2%) of DON responses to warming. Soil ammonium nitrogen exhibited a positive linear relationship with the DOC:DON ratio, while soil nitrate nitrogen responded negatively as the DOC:DON ratio increased. Our results revealed the complex responses of carbon and nitrogen cycles to warming, including their decoupling patterns. This finding highlights the sensitivity and adaptability of soil carbon and nitrogen cycles to experimental warming, uncovers that warming could disrupt the soil carbon and nitrogen balance, potentially affecting ecosystem stability and function.
DOI: 10.6084/m9.figshare.29126300.v1
title: all genes expression of B. mori and N. bombycis in non-diapause silkworm embryos and larvae

description: These tables show the gene expression patterns (fpkm)of non-diapause silkworm embryos and larvae that were congenitally infected with <i>N. bombycis</i>, and the gene expression patterns (fpkm) of<i> </i><i>N. bombycis</i> in non-diapause silkworm embryos and larvae.
DOI: 10.15468/dl.4d34ty
title: Occurrence Download

description: A dataset containing 41742 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Pontederia crassipes Mart."
 ]
}

 The dataset includes 41742 records from 716 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013411-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28784780.v1
title: Pipeline Inspection Robot

description: Pipeline inspection robot that can navigate inside horizontal, vertical, curved and branched pipelines.
DOI: 10.6084/m9.figshare.16616353.v2
title: Supporting data for "A single-cell transcriptomic atlas tracking the neural basis of division of labor in an ant superorganism".

description: <b>Files provided in this dataset:</b>1. <b>M.Pharaonis.genome.fasta.gz </b>: genome assembly of the pharaoh ant in fasta format.2. <b>M.pharaonis.genome.gtf.gz</b> : gene annotations of the pharaoh ant genome in gene transfer format (GTF).3. <b>M.pharaonis.cds.fasta.gz</b> : coding sequences of genes of the pharaoh ant in fasta format.4. <b>M.pharaonis.pep.fasta.gz</b> : peptide sequences of genes of the pharaoh ant in fasta format.5. <b>M.pharaonis.gene.function.annotation.gz</b> : functional annotations of all protein-coding genes of the pharaoh ant.6. <b>Mpha.umi.geneMatrix.gz</b> : the digital gene expression matrix (the number of UMIs per gene per nucleus) of the pharaoh ant.7. <b>Mpha.rds</b>: analysis results of the 206,367 pharaoh ant single-nucleus transcriptomes generated by Seurat.8. <b>M.pharaonis.marker.genes.gz</b> : marker genes for the 43 cell clusters identified in the pharaoh ant brains.9. <b>NCBI_CNSA_correspond_list </b>: correspondence across NCBI accession, CNSA accession, library, biological replicate, adult phenotype, read1 length, cell barcode1 position, cell barcode2 position, and UMI position for the raw sequencing data.10. <b>Amel.rds </b>: analysis results of the honeybee single-cell transcriptome data (PMID: 32080242) generated by Seurat.11. <b>Dmelmb.rds</b> : analysis results of the fly midbrain single-cell transcriptome data (PMID: 29671739) generated by Seurat.12. <b>Dmelmb.glia.recluster.rds</b> : analysis results of re-clustering the glial cells from Dmelmb.rds (PMID: 29671739) generated by Seurat.13. <b>scripts_for_data_analyses.tar.gz </b>: in-house scripts.14. <b>Readme.txt</b> : more detailed descriptions for each file.
DOI: 10.6084/m9.figshare.21747854.v1
title: Data Set 1 and 2.xlsx

description: two datasets in one excel file to analyse a regression model for distance calculation
DOI: 10.6084/m9.figshare.22357450.v3
title: Supplementary Table 2

description: The performance of WAVERYS and ERA5 wave reanalysis is evaluated against wave data (for Hs, Tm, Tp and Dirm) from the in-situ buoy records for each of the selected coastal locations.
DOI: 10.6084/m9.figshare.25006529.v2
title: Data from "Global patterns and determinants of multiple facets of plant diversity"

description: Data includes the derived diversity metrics of plant diversity (species richness, sesPD, sesFD) along with the new metric we calculated (μ-diversity). We also provided all the explanatory variables needed to run the models. The material includes a "README.txt" file and five scripts to replicate the analyses in the main text of the manuscript. In more detail, "01_Fig.1.R" allows the calculation of the ranked diversity patterns, "02_Fig.2.R" allows the calculation of the diversity patterns and the latitudinal gradients; "03_Fig.3.R" the overlap and variation partitioning; "04_Fig.4.R" the random forest and "06_Fig. 6.R" the calculation of the exposure of plant diversity to current human impacts. The script "00_AllAnalyses.R" acts as a collector and allows the launch of the other scripts. The script "Diversity_calculations.R" uses a working example to show how to derive the diversity metrics.
DOI: 10.17632/93r6hwysc8
title: Potential of GPT-4o for Lung Nodule Feature Characterization and Lung Cancer Probability Estimation from Chest CT Images

description: This dataset includes (1) 200 lung CT scan videos from the LIDC-IDRI open access dataset, composed of videos from the abdomen to the neck at rates of 3, 6, 12, 20, and 24 frames per second, (2) experimental results based on different frame rates and training strategies on the LIDC-IDRI dataset, (3) experimental results of radiologists' lung RADS scores for 150 cases from the D3 dataset of this study to evaluate the performance of GPT-4o in lung cancer screening, and (4) the test-retest experiment results of GPT-4o on the 135 lung CT scan videos from the LIDC-IDRI open access dataset (radiologists confirmed no lung nodules were found on these CT scans).
DOI: 10.17632/958jy25df5
title: Data on the treatment of nitrate contaminated wastewater using a continuous upflow palm fiber biofilm electrode reactor (PBER)

description: The infiltration of residual nitrate nitrogen fertilizer carried by runoff is the primary cause of this pollution. As a potential means to improve bioremediation performance and overcome these limitations, electrode biofilm technology has attracted widespread attention.This study constructed a continuously upflow PBER to investigate the effects of C/N ratio, HRT, and inflow method on the denitrification performance of PBER, and analyzed the microbial community structure of the reactor under different inflow methods. The continuous upflow palm fiber biofilm electrode reactor (PBER) constructed in this study achieved a nitrate removal efficiency of 97.9% ± 0.6% and a nitrate removal rate of 6.15 ± 0.08 mg-N/(L·h) under optimal operating conditions (current density of 250 mA/m2, C/N ratio of 1.5, HRT of 8 hours, and vertical inflow). The accumulation of nitrite and ammonium nitrogen in the effluent was relatively low. Microbial analysis showed that the inflow method influenced the community composition and abundance of dominant denitrifying bacteria in the two systems, with lower microbial diversity observed in the vertical inflow PBER. Both vertical and parallel inflow PBER systems showed enrichment of the hydrogen autotrophic denitrifying bacterium Thauera. Additionally, vertical inflow PBER exhibited enrichment of Azonexus, a bacterium capable of extracellular electron transfer. The PBER demonstrated high efficiency and low energy consumption, achieving efficient and stable nitrate removal while also facilitating the resource utilization of agricultural and forestry waste.
DOI: 10.6084/m9.figshare.13004429.v1
title: Gene database of Amphibacillus xylanus NBRC 15112

description: <i>Amphibacillus xylanus</i> is a Gram-positive, motile, facultative anaerobic spore-forming bacterium. Possessing multiple metabolic pathways with high ATP yield, the bacterium is capable of survival and growth in diverse environments. This work sought to provide fundamental information about the genetic repertoire of <i>Amphibacillus xylanus</i> by parsing its annotated genome downloaded from Genbank. Comprising gene name, gene function, and gene sequence, the resource should find use in basic biological studies seeking to unravel the mysteries associated with this bacterium that is capable of achieving growth in alkaline environment.
DOI: 10.6084/m9.figshare.24533278.v2
title: Waves of change: a preliminary literature review of non-drinkable water and environmental justice research

description: For decades, researchers have sought to document injustices, highlight activism, and identify pathways in moving toward environmental justice (EJ). EJ research regarding water has been predominantly focused on drinking water. This project sought to identify and analyze the breadth of peer-reviewed research on EJ and water beyond drinking water. We conducted a systematic literature review to catalog a representative sample of academic literature on EJ and surface water. We found a focus on freshwater rather than marine EJ research, with the biggest focus on anthropogenic-induced change and management and policy considerations. Distributional and procedural injustices were more commonly investigated than recognitional and capabilities injustices. The most common research efforts were qualitative case studies and larger spatial analyses of disparities. There remains considerable need for research connected to the complex issues of EJ and water.
DOI: 10.17632/8bvp598nfy
title: Replication data for A Afonso, J Alves, K Beck, K Jackson (2024) "Financial, institutional, and macroeconomic determinants of cross-country portfolio equity flows between developed countries", Economic Modelling

description: Replication data for A Afonso, J Alves, K Beck, K Jackson (2024) "Financial, institutional, and macroeconomic determinants of cross-country portfolio equity flows between developed countries", Economic Modelling
DOI: 10.17632/rn749yywmp
title: Insect survey detections data for quantifying dispersal distances to predict delimiting survey radii

description: Trapping survey detections data for five insect species and one mollusk (traps and other finds), with latitudes and longitudes and other spatial identifications removed per agreement with agencies. Species and survey data as follows:
European grapevine moth (EGVM), Lobesia botrana, California, 2011-2013, Source: CDFA (California Department of Food and Agriculture)
Giant African landsnail (GALS), Achatina fulica, Florida, 2011-2020, Source: FDACS (Florida Department of Agriculture and Consumer Services)
Japanese beetle (JB), Popillia japonica, California, 2010-2019, Source: CDFA
Medfly, Ceratitis capitata, California, 2015-2019, Source: CDFA
Medfly, Florida, 1956-2011, Source: FDACS
Mexfly, Anastrepha ludens, Texas, 2016-2019, Source: PPQ (Plant Protection and Quarantine, USDA)
Oriental fruit fly (OFF), Bactrocera dorsalis, California, 2015-2019, Source: CDFA
OFF, Florida, 1995-2018, Source: FDACS
"Raw detections data v1.xlsx" is the collection of all detections. "Collected distances data v1.xlsx" is the data after clustering for proximity in time and space has been done. This data includes clustering information and distances calculated for each detection from the cluster centroid.
DOI: 10.6084/m9.figshare.22010279.v1
title: Drastic changes before the 2011 Tohoku earthquake, revealed by exploratory data analysis

description: Predicting earthquakes is of the utmost importance, especially to those countries of high risk, and although much effort has been made, it has yet to be realised. Nevertheless, there is a paucity of statistical approaches in seismic studies to the extent that an old theory is believed without verification. Seismic records of time and magnitude in Japan were analysed by exploratory data analysis (EDA). EDA is a parametric statistical approach based on the characteristics of data and is suitable for data-driven investigations. The distribution style of each dataset was determined, and the important parameters were found. This enabled us to identify and evaluate the anomalies in the data. Before the huge 2011 Tohoku earthquake, swarm earthquakes occurred before the main earthquake at improbable frequencies. The frequency and magnitude of all earthquakes increased. Both changes made larger earthquakes more likely to occur: even an M9 earthquake was expected every two years. From these simple measurements, the EDA succeeded in extracting useful information. Detecting and evaluating anomalies using this approach for every set of data would lead to a more accurate prediction of earthquakes.
DOI: 10.6084/m9.figshare.22188970.v1
title: Supplementary Material for: Acral Fibrochondromyxoid Tumor Presenting as Enlarging Nodule Involving the Distal Fingertip and Hyponychium

description: An acral fibrochondromyxoid tumor is a newly described type of benign soft tissue neoplasm that presents as a single nodular lesion on a finger or toe. There has only been one previous report of this tumor, a case series that described the initial pathologic and clinical findings; however, details on clinical history, physical examination and radiological findings, and outcome are unknown. In this report, we describe a case of a 39-year-old male who presented with a painful enlarging mass involving the distal right 3rd finger and hyponychium. Punch biopsy was performed and the lesion was identified as an acral fibrochondromyxoid tumor on microscopic examination. X-ray showed no bony involvement. The tumor was successfully excised with complete resolution of pain symptoms. We discuss the clinical features and immunohistochemistry findings of our case in the context of the current limited knowledge about this very rare tumor.
DOI: 10.60893/figshare.pof.28395662.v1
title: Supplement Number 1

description: Describe the radiation pressure enhancement in total inter236
nal reflection and investigation of the heating effect.
DOI: 10.17632/dyg9dpmgvs
title: Deep Learning (DL) RF-2016-02364081 dataset for the study titled: ‘Optimizing performance of transformer-based models for fetal brain MR image segmentation’.

description: The dataset includes 172 subjects for a total of 519 fetal rs-fMRI scans with respective brain segmentations. Brain segmentations were obtained with the RS-FetMRI package (https://github.com/NicoloPecco/RS-FetMRI). For each subject the gestational week at scan is reported as the last two digits of the file name. The RF-2016-02364081 DL dataset has been used to train and test deep learning architectures (i.e. Swin-UNETR, UNTER, CNN, GAN) on a fetal brain extraction task for the study titled ‘Optimizing performance of transformer-based models for fetal brain MR image segmentation’. 
Pretrain weights of Swin-UNETR best model can be found on the ‘weight’ folder (Fetal_pretrain.pth).
DOI: 10.17632/x4tkj57mb5
title: Mitochondrial NADPH fuels mitochondrial fatty acid synthesis and lipoylation to power oxidative metabolism (Kim et al, Metabolomics Raw Data)

description: Raw data file_metabolomics data
DOI: 10.6084/m9.figshare.27245301.v1
title: GWAS summary data of loneliness

description: Based on UKB Caucasian participants, and after excluding those included in the protein GWAS, we obtained a final sample of 288,696 participants. GWAS adjusted for age, sex, and the first 20 genetic PCs.
DOI: 10.6084/m9.figshare.29066618.v1
title: Genome Assembly Mycobacterium Bovis GCA_000195835.3

description: Genome sequence of the bovine tuberculosis bacillus Mycobacterium bovis AF2122/97https://www.ebi.ac.uk/ena/browser/view/GCA_000195835.3?show=chromosomes
DOI: 10.17632/44dvydc7tg
title: Good And Bad classification of Cabbage and Potato Curry

description: Data Description for the Project: Good and Bad Classification of Cabbage and Potato Curry

The dataset consists of 1000 samples of Cabbage and Potato Curry, divided equally into two categories: Good (500 samples) and Bad (500 samples). Each sample has been evaluated based on sensory, physical, and chemical parameters that determine its quality and acceptability. The goal of the project is to classify the samples accurately into "Good" or "Bad" based on these parameters. Below is a detailed description of the dataset:

1. Sensory Attributes
These parameters assess the overall sensory quality of the curry:

Appearance: Color consistency and visual appeal (measured on a 1–10 scale).
Texture: Softness of the vegetables, uniformity, and absence of undesirable textures (1–10 scale).
Aroma: Freshness and pleasantness of the aroma (1–10 scale).
Taste: Flavor profile, including saltiness, sweetness, and bitterness (1–10 scale).
2. Physical Attributes
These parameters include measurable physical properties:

Moisture Content (%): The percentage of moisture in the sample.
Particle Size Distribution: The uniformity of cabbage and potato pieces.
Foreign Matter: Presence of impurities such as stones or extraneous particles (binary: 0 for absent, 1 for present).
3. Chemical Attributes
These attributes assess the chemical quality and shelf-life indicators:

pH: Acidity/alkalinity of the curry.
Acidity (%): Total titratable acidity to check for spoilage.
Peroxide Value: Indicator of fat oxidation (measured in meq/kg).
Microbial Load: Total Plate Count (TPC) measured in CFU/g to assess microbial contamination.
4. Classification Labels
Each sample is labeled as either:

Good (1): Samples that meet quality standards for appearance, texture, aroma, and taste, with acceptable physical and chemical properties.
Bad (0): Samples with substandard sensory, physical, or chemical qualities, or those with microbial spoilage.
Dataset Characteristics
Size: 1000 samples (500 Good, 500 Bad).
Balance: The dataset is balanced, ensuring equal representation of both classes.
Format: Tabular format with rows representing individual samples and columns representing attributes and labels.
Applications: The dataset can be used for training machine learning models, such as logistic regression, SVM, decision trees, or neural networks, to classify curry quality.
Significance
This dataset provides a comprehensive framework to understand the quality determinants of Cabbage and Potato Curry. The classification outcomes can help improve quality control processes and ensure consumer safety and satisfaction.

This concise description remains within the 3000-character limit while covering all critical aspects of the dataset. Let me know if you'd like to add any specific details or adjust the focus!