cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15482/usda.adc/1526331
title: Agronomic Calendars for the Bushland, Texas Maize for Grain Datasets
DOI: 10.6084/m9.figshare.13121792.v2
title: Single-cell profiling reveals tumor microenvironmental features and the role of activated B cells in cancers with liver metastasis

description: Liver is the common site for metastases of colorectal cancer (CRC), breast cancer, and lung cancer. In particular, more than 40% of patients with late-stage CRC develop liver metastasis (LM). However, key immune cells involved in liver metastasis are unknown. Here, we used single-cell sequencing to identify key immune cells and study their function in tumor immune microenvironment (TIME) of CRC-LM <br>
DOI: 10.6084/m9.figshare.20288586.v3
title: “QualiAPS-digital, Brazil” Instrument: version 1

description: The objective of this publication is to present version 1 of the instrument “QualiAPS-digital, Brasil” for the assessment of digital health in Primary Health Care. This instrument, to be submitted to validation, reliability and usefulness analyses, was built from the digital health assessment model in PHC, proposed by Silva and Uchoa (2022a) I was based on 8 international evaluation frameworks ( Silva, Uchoa , 2022 b) identified in Scoping REview already published ( SILVA et al 2022). The instrument integrates the thesis by Renan Cabral de Figueiredo which is part of the project “Evaluation of the quality of Digital Health in Primary Health Care coordinated by researcher Severina Alice da Costa Uchoa from the Department of Public Health at UFRN/Brazil, The project is in progress and it was submitted to the Public Notice/09 /2022 PQ/CNPq/Brazil <br> . <strong>Referencias </strong> SILVA, Cícera Renata Diniz Vieira; DA COSTA UCHOA, Severina Alice (2022): Digital health assessment model in Primary Health Care in Brazil.. figshare. Figure. https://doi.org/10.6084/m9.figshare.20217005.v1 Silva, Cícera Renata Diniz Vieira; DA COSTA UCHOA, Severina Alice (2022)(b) SUMMARY OF DIGITAL HEALTH EVALUATIVE FRAMEWORKS IN THE LITERATURE. figshare. Dataset. https://doi.org/10.6084/m9.figshare.20218172.v1 SILVA, Cícera Renata Diniz Vieira; LOPES, Rayssa Horácio; BAY JUNIOR, Osvaldo de Goes; MARTINIANO, Claudia Santos; FUENTEALBA-TORRES, Miguel; ARCÊNCIO, Ricardo Alexandre; LAPÃO, Luís Velez; DIAS, Sonia; UCHOA, Severina Alice da Costa. Digital Health Opportunities to Improve Primary Health Care in the Context of COVID-19: scoping review. <strong>Jmir Human Factors</strong>, [S.L.], v. 9, n. 2, p. 35380, 2022. doi: 10.2196/35380PMID: 35319466
DOI: 10.6084/m9.figshare.20506713.v1
title: Saltmarshes of Ireland Contain Climate-Relevant Pools of Carbon

description: Organic carbon density from soil, vegetation, and root biomass from four saltmarshes in Dublin, Ireland.
DOI: 10.6084/m9.figshare.20704645.v1
title: Dataset related to article "Characterizing vertical stratification of the cloud thermodynamic phase with a combined use of CALIPSO lidar and MODIS SWIR measurements"

description: This record contains raw data related to the article “Characterizing vertical stratification of the cloud thermodynamic phase with a combined use of CALIPSO lidar and MODIS SWIR measurements".
DOI: 10.6084/m9.figshare.21117007.v1
title: RiceG2G_Basicdata2

description: Rice NAM population, scoring for each variant site.
DOI: 10.6084/m9.figshare.22810319.v1
title: Datasets for COMMSENG-23-0001

description: raw data generated by Fluent
DOI: 10.6084/m9.figshare.28389161.v1
title: Data list for "Climate change-driven ice variability and isotopic polarization in Antarctic coastal food webs"

description: The .xlsx file includes the utilized data for the figures of the scientific paper titled <i>"Climate change-driven ice variability and isotopic polarization in Antarctic coastal food webs."</i><br><br>Figures are described as follows:<br><b>Figure 1.</b> Environmental variables collected between inner and outer intertidal sites during the study period.<br><b>Figure 2.</b> Stable carbon and nitrogen isotope ratios of food sources (POM, particulate organic matter; microalgae; macroalgae) and eight consumers collected in the five intertidal sites along Marian Cove during the study period, with corresponding trophic level (TL).<br><b>Figure 3A.</b> Decadal change in the spatial structural distribution of <i>N. concinna</i> population in Marian Cove.<br><b>Figure 3B.</b> Decadal change in the spatial δ¹³C and diet utilization distribution of <i>N. concinna</i> population in Marian Cove.<br><b>Figure 4A.</b> Regional summer sea ice extent variation in Antarctica based on the previous study (Parkinson et al., 2019).<br><b>Figure 4B.</b> Regional summer sea ice extent variation in Antarctica.<br><b>Figure 5.</b> Multi-decadal changes in the contribution (%) of three types of diets (<b>P</b>: pelagic, <b>S</b>: sympagic, <b>B</b>: benthic) to the consumers in (A) West Antarctica with substantial sea ice retreat and (B) East Antarctica with substantial sea ice advance.
DOI: 10.6084/m9.figshare.28790717.v1
title: Overview of the genome assembly of <i>P. picta</i>

description: Overview of the genome assembly of Polymita picta, including number of contigs, congtig N50 and BUSCO values
DOI: 10.6084/m9.figshare.6803813.v1
title: Supplementary Material for: Risk Factors for Necrotizing Enterocolitis: A Prospective Multicenter Case-Control Study

description: <b><i>Background:</i></b> The identification of independent clinical risk factors for necrotizing enterocolitis (NEC) may contribute to early selection of infants at risk, allowing for the development of targeted strategies aimed at the prevention of NEC. <b><i>Objective:</i></b> The objective of this study was to identify independent risk factors contributing to the development of NEC in a large multicenter cohort. <b><i>Methods:</i></b> This prospective cohort study was performed in 9 neonatal intensive care units. Infants born at a gestational age ≤30 weeks were included. Demographic and clinical data were collected daily until day 28 postnatally. Factors predictive of the development of NEC were identified using univariate and multivariable analyses in a 1: 5 matched case-control cohort. <b><i>Results:</i></b> In total, 843 infants (56 NEC cases) were included in this study. In the case-control cohort, univariate analysis identified sepsis prior to the onset of NEC and formula feeding to be associated with an increased risk of developing NEC, whereas the administration of antibiotics directly postpartum was inversely associated with NEC. In a multivariable logistic regression model, enteral feeding type and the number of days parenterally fed remained statistically significantly associated with NEC, whereas the administration of antibiotics directly after birth was associated with a lower risk of developing NEC. <b><i>Conclusions:</i></b> Formula feeding and prolonged (duration of) parenteral feeding were associated with an increased risk of NEC. Contrary to expectations, the initiation of treatment with antibiotics within 24 h after birth was inversely associated with NEC.
DOI: 10.6084/m9.figshare.9958931.v1
title: A systemic overreaction to years versus decades of warming in a subarctic grassland ecosystem - data

description: Standardised, processed data relating to Nature Ecology & Evolution article with above title.
DOI: 10.6084/m9.figshare.c.3791095_d1.v1
title: Additional file 1: Table S1. of Dissection of additive, dominance, and imprinting effects for production and reproduction traits in Holstein cattle

description: Variance decomposition of breeding value, dominance deviation, and genotypic imprinting value for eight dairy traits. (XLSX 10Â kb)
DOI: 10.17632/jk9yzybrj8
title: Vegetative propagation data

description: This is open data accompanying the article "Effects of vegetative propagation on protein content and bioactivity of the red seaweed Palmaria palmata" published in Food Chemistry.
DOI: 10.17632/k7thtxckwc
title: DIMETHYL ETHER (DME) AS AN LPG SUBSTITUTE OR BLENDING AGENT data by Ronnie Rampersad

description: Dimethyl Ether (DME) shows significant promise in replacing liquified petroleum gas (LPG) as a major fuel in the near future. It burns with less nitrous oxide (NOx) emissions and soot, and although it has a lower calorific value per kg, its other properties make it a preferred fuel. In addition, DME has similar physicochemical properties to LPG and can in most instances be immediately substituted for it with minimal adjustments to existing infrastructure.
This report outlines the viability of using DME as an LPG fuel blend or substitute. Studies that compared DME to LPG and other fuels were investigated, with a focus on the cetane number and calorific value of each fuel, data were presented.
DOI: 10.6084/m9.figshare.1289700.v1
title: procedural textures

description: procedural textures, similarity matrix and rating matrix from psychophysical experiments
DOI: 10.6084/m9.figshare.20310771.v3
title: EEL Mouse 440 genes single cell data

description: <strong>Cell by gene matrix of the EEL mouse 440 gene experiment.</strong> Single cell data generated by EEL FISH on a saggital mouse brain section. The dataset is available in 3 file formats: .loom Loom file see: http://loompy.org/ .h5ad AnnData file see: https://anndata.readthedocs.io/en/latest/index.html .tab Tab-delimited file. <strong>Metadata</strong> Age - Age of animal. Codebook - Name of EEL codebook. ColorDict - Cell cluster color dictionary. Cycles - Number of barcoding cycles.<br> Expansion - Pixels the nuceli were expanded (pixelsize = 0.27um).<br> Expansion_um - Expansion of nuclei in micrometer.<br> Experiment - Experiment ID.<br> ExperimentDate - Date of experiment.<br> FOVoverlapPercentage - Overlap between field of view.<br> GenerationDate - Loom file generation date.<br> LOOM_SPEC_VERSION - Loompy version.<br> MaxHammingDist - maximum allowed Hamming distance.<br> Operator - Experiment operator.<br> Orientation - Cutting orientation.<br> Probes - Probe sequences file.<br> Protocol - Protocol used.<br> Quality - Manual evaluation of quality.<br> RNAfile - RNA file used<br> Removal - Method of removal of overlapping RNA in overlapping fields of view.<br> Sample - Sample ID<br> Segmentation - Segmentation algorithm.<br> Species - Species of sample.<br> Stitching - Field of view stitching method.<br> StitchingChannel - Between cycle alignment channel.<br> Strain - Strain of animal.<br> System - Microscope system used.<br> Tissue - Tissue in experiment.<br> TotalMolecules - Total number of molecules assigned to cells. <br> <strong>Column metadata</strong> X - X coordinate in pixels of 0.27um (multiply by 0.27 to get micrometer). X_um - X coordinate in micrometer. Y - Y coordinate in pixels of 0.27um (multiply by 0.27 to get micrometer). Y_um - Y coordinate in micrometer. tSNE_X - tSNE component 1. tSNE_Y - tSNE component 2. Clusters - Cluster label of each cell. TotalMolecules - Total molecules per cell. Cluster colors are saved as individual RGB values: R - Red. G - Green. B - Blue. (In the AnnData file, the tSNE and RGB values are availabe as a single array under "obsm" with keys "tSNE" and "RGB" respectively. ) <br> <strong>Row metadata</strong> Gene - Gene name. GeneTotal - Total number of detected molecules per gene.
DOI: 10.6084/m9.figshare.25754256.v2
title: Dataset for: Global forest gaps reduce litterfall but increase litter carbon and phosphorus release

description: Dataset
DOI: 10.6084/m9.figshare.27304923.v1
title: An Alternative Way to Parameterizing the Nonlocal Scale Sensible Heat Flux Using the Flux Imbalance and K-theory Approach

description: This study proposed an alternative approach to account for the nonlocal part of the sensible heat flux in the earth system models
DOI: 10.6084/m9.figshare.5122603.v1
title: Supplementary Material for: Muscle Gene Expression Is a Marker of Amyotrophic Lateral Sclerosis Severity

description: <i>Background:</i> Amyotrophic lateral sclerosis (ALS) is a fatal adult-onset degenerative disease characterized by the loss of upper and lower motor neurons leading to progressive muscle atrophy and paralysis. The lack of molecular markers of the progression of disease is detrimental to clinical practice and therapeutic trials. <i>Objective:</i> This study was designed to identify gene expression changes in skeletal muscle that could reliably define the degree of disease severity. <i>Methods:</i> Gene expression profiles were obtained from the deltoid muscles of ALS patients and healthy subjects. Changes in differentially expressed genes were compared to the status of deltoid muscle disability, as determined by manual muscle testing, electrophysiology and the degree of myofiber atrophy. Functionally related genes were grouped by annotation analysis, and deltoid muscle injury was predicted using binary tree classifiers. <i>Results:</i> Two sets of 25 and 70 transcripts appeared differentially regulated exclusively in early and advanced states of deltoid muscle impairment, respectively. The expression of another set of 198 transcripts correlated with a composite score of muscle injury combining manual muscle testing and histological examination. From the totality of these expression changes, 155 transcripts distinguished advanced from early deltoid muscle impairment with 80% sensitivity and 100% specificity. Nine of these transcripts, known also to be regulated in ALS mouse and surgically denervated muscle, predicted the advanced disease status with 100% sensitivity and specificity. <i>Conclusion:</i> We provide robust gene expression changes that can be of practical use when monitoring ALS status and the effects of disease-modifying drugs.
DOI: 10.6084/m9.figshare.12683321.v3
title: Whole-genome SNP markers reveal conservation status, signatures of selection and introgression in Chinese Laiwu pigs

description: Laiwu pigs are a Chinese indigenous breed that is renowned for its exceptionally high intramuscular fat content (average greater than 6%), providing an excellent genetic resource for the genetic improvement of meat quality of modern commercial pigs. To uncover genetic diversity, population structure, signature of selection and potential exotic introgression in this breed, we sampled 238 Laiwu pigs from a state-supported conservation population and genotyped these individuals using GeneSeek 80K SNP BeadChip. We then conducted in-depth population genetics analyses for the Laiwu pig in a context of 1116 pigs from 42 Eurasian diverse breeds. First, we show that the current Laiwu population has more abundant genetic diversity than the population of 18 years ago likely due to gene flow from European commercial breeds. Both neighbor-joining (NJ) and principal component analyses indicate the introgression of European haplotypes into Laiwu pigs. The admixture analysis reveals that an average 26.66% of Laiwu genetic components are of European origin. Then, we assigned the tested individuals to different families according to their clustering patterns in the NJ tree, and proposed a family-based conservation strategy to reduce the risk of inbreeding depression in Laiwu pigs. Next, we explored three statistics (ROH and iHS and EigenGWAS) to identify a list of candidate genes for fat deposition, reproduction and growth in Laiwu pigs. Last, we detected a strong signature of introgression from European pigs into Laiwu pigs at the <i>GPC6</i> locus that regulates the growth of developing long bones. Further association analyses indicate that the introgressed <i>GPC6</i> haplotype contributed to the improvement of growth performance in Laiwu pigs. Altogether, this study not only benefits the better conservation of the Laiwu pig, but also advances our knowledge of the poorly understood effect of human-mediated introgression on phenotypic traits in Chinese indigenous pigs.
DOI: 10.6084/m9.figshare.24747228.v1
title: Data used for demo of the code accompanying the <i>Assessing the limits of zero-shot foundation models in single-cell biology</i> paper.

description: This data consists of:the pancreas dataset described in the scIB manuscript,weights for scGPT human version of the model (version created on 23 Jun 2023, downloaded from authors GDrive), andweights for Geneformer (6 Layers version) accessed from <code>4302f48</code> commit of the ctheodoris/Geneformer repository.Data is organised in directories as required for the demo of the microsoft/zero-shot-scfoundation repository.
DOI: 10.6084/m9.figshare.25954813.v1
title: Gastric Cancer Histopathology Tissue Image Dataset (GCHTID)

description: This dataset represents a collection of tissue types in histological images of human gastric cancer, containing 31,096 non-overlapping images of 224x224 pixels each, extracted from H&E-stained pathological slides at Harbin Medical University Cancer Hospital. The dataset was generated by predicting tissue components in gastric cancer using annotations from a publicly available colorectal cancer dataset to create tissue heatmaps. Professional pathologists then selected 300 whole slide images with high prediction accuracy. Finally, a substantial number of images, each belonging to one of eight tissue categories (Adipose (ADI), Background (BACK), Debris (DEB), Lymphocytes (LYM), Mucus (MUC), Smooth Muscle (MUS), Normal Colon Mucosa (NORM), Cancer-associated Stroma (STR), Tumor (TUM)), were extracted from these slides.
DOI: 10.6084/m9.figshare.3114397.v1
title: raw data_Andreu-Cazenave et al.xlsx

description: Size frequency raw data for loco (<i>Concholepas concholepas</i>) and keyhole limpets (<i>Fissurella</i> spp.) from three sites of central Chile, under three different management regimes.<br>
DOI: 10.17632/3wrtkk4w5v
title: Synthetic Analyses of Single-Cell Transcriptomes from Multiple Brain Organoids and Fetal Brain

description: Human brain organoid systems offer unprecedented opportunities to investigate both neurodevelopmental and neurological disease. Single cell-based transcriptomics or epigenomics have dissected the cellular and molecular heterogeneity in the brain organoids, revealing a complex organization. Similar but distinct protocols from different labs have been applied to generate brain organoids, providing a large resource to perform a comparative analysis of brain developmental processes. Here we take a systematic approach to compare the single cell transcriptomes of various human cortical brain organoids together with fetal brain to define the identity of specific cell types and differentiation routes in each method. Importantly, we identify unique developmental programs in each protocol, which will be a critical benchmark for the utility of human brain organoids in the future.
DOI: 10.6084/m9.figshare.11323259.v3
title: Sequence data for DENV

description: Sequence data for DENV
DOI: 10.6084/m9.figshare.11323559.v1
title: LOGITECH 2 CAMERAS DATA PUPIL ALONE_1.sav

description: The pupil sizes observed from the different thresholds of corneal pain stratified by modality and sex.<br>
DOI: 10.6084/m9.figshare.25108130.v2
title: <b>Assessing influential factors and refining GEDI L2A data for large-scale building height retrieval</b>

description: This study provides a valuable reference for the efficient generation of high-quality GEDI footprint data for building height retrieval. Based on the proposed GEDI data filtering method, we downloaded and processed the GEDI L2A V2 data for China in the year 2020 to generate high-quality GEDI data for building height retrieval. Ultimately, 973,608 high-quality GEDI footprints were obtained for China's built-up areas, effectively illustrating building heights. GEDI footprints are significantly sparser in southern China than in the north. Among these footprints, the maximum RH98 value is 148.01 m, the minimum value is 1.08 m, and the mean value is 13.26 m. Two distinct peaks are evident at RH98 values of approximately 7 m and 20 m, respectively. Additionally, it can be observed that building heights are notably higher in central and southern China compared to the northern and northwestern regions. These high-quality GEDI data provide accurate building height information and may contribute to map large-scale building height.
DOI: 10.6084/m9.figshare.25911682.v1
title: Competitive ability underpins the effect of spatial aggregation on plant performance

description: Data and R codes that support the results of the manuscript "A phylogenetic signal in the effect of spatial aggregation on plant performance" published from <i>Ecology</i>, by Naoto Shinohara and Haruna Ohsaki.
DOI: 10.6084/m9.figshare.28379996.v1
title: Tolley-etal_Allele-Table_Bradypodion-ventrale-taeniabronchum-Groendal.xlsx

description: This dataset contains the genetic (microsatellite) profiles of three populations of dwarf chameleon from South Africa. It is one line of evidence used to quantify divergence between populations.
DOI: 10.6084/m9.figshare.5943103.v1
title: Subject 1_c3d

description: c3d files of Subject 1
DOI: 10.6084/m9.figshare.7471307.v1
title: Additional file 2: of Properties of LINE-1 proteins and repeat element expression in the context of amyotrophic lateral sclerosis

description: Table S1. Summary of significant DE TE subfamilies determined by TEtranscripts RNA-Seq datasets. (XLSX 326 kb)
DOI: 10.6084/m9.figshare.c.2185342_d7.v1
title: tiltser_PtNP.tif

description: Tomographic series of a single platinum nanoparticle acquired using the equally sloped tomography technique.
DOI: 10.17632/jpz9kcnrhd
title: ROAS

description: Title: ROAS Optimization Problem for Maximizing Advertising Return

Abstract:
This dataset has been created to analyze and optimize the Return on Advertising Spend (ROAS) in digital marketing campaigns. The data has been collected from an e-commerce platform's advertising activities based on various targeted keywords. It includes essential metrics such as advertising budgets, impressions, click-through rates, sales volumes, and revenue. The primary objective is to identify the most efficient advertising spending strategies using optimization techniques to maximize returns within a given budget.

Dataset Contents:
The dataset is divided into six groups, each containing the following variables:

Keywords: The targeted search terms used in the advertising campaign.
Advertising Spend: The budget allocated to a specific keyword (USD).
Num. of Impressions: The number of times the ad was displayed.
Num. of Clicks: The number of times the ad was clicked.
Hit Rate (%): The conversion rate of the advertisement.
Sales Volume: The total number of sales generated from the ad.
Revenue: The total revenue generated from the advertisement (USD).
ROAS (Return on Advertising Spend): Revenue divided by advertising spend.
Proposed CPM (Proposed Cost Per Mille): The cost per thousand impressions suggested by optimization algorithms.
Actual CPM (Actual Cost Per Mille): The realized cost per thousand impressions.
Selected CPM (Final Cost Per Mille): The chosen cost per thousand impressions after optimization.
Potential Use Cases:
This dataset can be utilized for:

Digital Marketing Optimization: Developing budget management strategies to maximize ROAS.
Machine Learning & Optimization: Applying metaheuristic algorithms to determine the most effective ad spending strategy.
E-Commerce Performance Analysis: Evaluating the effectiveness of advertising campaigns in driving sales.
Financial Planning: Measuring the return on investment for digital marketing expenditures.
Target Users:
This dataset is beneficial for academic researchers, digital marketers, data analysts, and engineers working on optimization problems.
DOI: 10.6084/m9.figshare.1601876.v4
title: attosecond Extended Ptychographic Iterative Engine (ePIE)

description: Extended Ptychographic Iterative Engine (ePIE) for attosecond pulses temporal reconstruction.<br>Full code with some numerical examples. For further detail please read the article at the link below.