cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25949/22802411.v1
title: DeepSlice Source Data and Ground Truth datasets

description: Hi! Welcome to the DeepSlice data repository!This repository contains:Source data used to generate the graphs shown in Figures 1, 2 & 3 of Carey et al. (2023).Histological images and alignment data used to guide the development of, and assess the performance of, the DeepSlice algorithm.Code you can use to replicate the DeepSlice alignment filesSources data are organised in Excel spreadsheets, with data corresponding to each panel itemised in separate worksheets (Figure 1.xlsx, Figure 2.xlsx, Figure 3.xlsx).Histological images corresponding to Ground Truth datasets are saved in .Zip files.The following zip repositories are included:NameSource DOIGLT1a10.25493/Y147-2CEPcP210.25493/A2EG-VPRCamKII10.25493/W97C-01RCalb1http://mouse.brain-map.org/experiment/show/71717640β amyloidprovided by Yates et al. 10.3389/fninf.2019.00075Myelin10.25493/Y147-2CEPitx310.25493/DTB3-0KP<br>The GLT1a, PcP2, CamKII, Myelin & Pitx3 datasets are made available from eBrains via CC4.0 license. Calb1 dataset is courtesy of the Allen Institute for Brain Science. Allen Mouse Brain Atlas dataset# 71717640 Available from mouse.brain-map.org. Allen Institute for Brain Science (2011).The β amyloid dataset is courtesy of Yates et al.Alignment metadata, generated by human or DeepSlice, are provided as .xml and .csv files in corresponding Zip archives. To view human- or DeepSlice-generated alignments save image files and .xml files to the same directory and load in QuickNII (https://www.nitrc.org/projects/quicknii). The DeepSlice source code, and tools used to calculate differences in alignments, are available at https://github.com/PolarBean/DeepSliceWe hope you find this useful, either as a way of validating or replicating our work or as a means to quantify the performance of other alignment algorithms. Don't forget to cite our paper if you do!Harry Carey, Michael Pegios, Lewis Martin, Chris Saleeba, Anita J. Turner, Nicholas Everett, Maja A. Puchades, Jan G. Bjaalie & Simon McMullan (2023) DeepSlice: rapid fully automatic registration of mouse brain imaging to a volumetric atlas, Nature Communications, DOI:10.1038/s41467-023-41645-4
DOI: 10.6084/m9.figshare.24199572.v1
title: Proteomics data processed by Sanger

description: Proteomics data processed by Sanger: The metadata is downloaded from https://cellmodelpassports.sanger.ac.uk/downloads, Proteomics_20221214.zip, proteomics_all_20221214.csv
DOI: 10.6084/m9.figshare.28535309.v1
title: <b>Dataset: </b><b>Morphometric analysis of lung development in the gray short-tailed opossum </b><b><i>(Monodelphis domestica) - Data</i></b>

description: The postnatal lung development of the gray short-tailed opossum (<i>Monodelphis domestica</i>) was investigated to assess the morphofunctional status in this immature born marsupial. Lung volume, surface densities and surface areas, parenchymal (air spaces and septa) and non-parenchymal (airways, blood vessels, connective tissue) volume proportions were determined in Micro-CT images using morphometry. The lung of the newborn <i>Monodelphis domestica</i> is structurally and quantitatively sufficiently developed to meet the respiratory requirements of the small neonate, however, supported by cutaneous respiration during the first postnatal days. The lung has to mature rapidly in the postnatal period to support the increasing metabolic requirements of the developing young. This data set includes the morphometric data for all animals investigated in this study.
DOI: 10.6084/m9.figshare.4252217.v1
title: wheat kernel dataset

description: This dataset is wheat kernel, which relates to the percentage of protein concentration. This NIR spectrum data is recorded at 100 wavelengths across the region 850-1050 nm. This dataset has been divided into a training set of 415 samples and a test set of 108 samples, and it is widely used as a benchmark dataset.
DOI: 10.6084/m9.figshare.5530510.v1
title: 17-loci Y-STR data for Northern Iraqi Arabs, Kurds, Turkmens, Syriacs and Yazidis

description: In an effort to contribute to a better understanding of the genetic basis of the Northern Iraqi ethnic diversity, a total of 500 samples were collected from volunteers belonging to five major ethnic groups, namely: Arabs (<i>n</i>=102), Kurds (<i>n</i>=104), Turkmens (<i>n</i>=102), Yazidis (<i>n</i>=106) and Syriacs (<i>n</i>=86). 17-loci Y-STR analyses were carried out using the AmpF<i>l</i>STR Yfiler system.
DOI: 10.6084/m9.figshare.26082436.v1
title: HiGTS_2003s1

description: HiGTS is a high temporal resolution global gridded dataset of human thermal stress metrics. Derived using climate variables from ERA5-Land and ERA5, the HiGTS consists of hourly gridded maps of Universal Thermal Climate Index (UTCI), Universal Thermal Stress (UTS), and daily Thermal Stress Duration (TSD) at 0.1° × 0.1° spatial resolution over the global land surface.HiGTS_2003s1 contains the data from January 1, 2003 to March 31, 2003.
DOI: 10.6084/m9.figshare.28925156.v1
title: Dataset for “Metal-ligand delocalization of iron and cobalt protoporphyrin complexes in aqueous solutions probed by soft X-ray absorption spectroscopy”

description: Dataset associated with “Metal-ligand delocalization of iron and cobalt protoporphyrin complexes in aqueous solutions probed by soft X-ray absorption spectroscopy”.
DOI: 10.6084/m9.figshare.7321880.v5
title: Kellenberger_etal_overdominance_UHPLC-MS/MS_datasets

description: <b>Study:</b>Emergence of a floral colour polymorphism by pollinator-mediated overdominance<br><br><b>Authors:</b>Roman T. Kellenberger, Kelsey J.R.P. Byers, Rita M. De Brito Francisco, Yannick M. Städler, Amy M. LaFountain, Jürg Schönenberger, Florian P. Schiestl, Philipp M. Schlüter<br><br><b>Content:</b>gzip-compressed files containing UHPLC-MS/MS chromatograms of <i>Gymnadenia rhellicani </i>flower tissue in mzML-format. <br><br><b>Sample origin / populations:</b>NrRTK3: Puflatsch, Northern ridgeNrRTK4: Puflatsch, Southern ridgeNrRTK10: Bondone<br><br><b>md5-checksums:</b>See table included in fileset<br>
DOI: 10.17632/35wc3t3kz9
title: Highly efficient carbon dot-based photoinitiating systems for 3D-VAT printing

description: In this work, different types of carbon dots (CDs) based on citric acid as a precursor were synthesized using an efficient procedure to purify these materials from low molecular by-products and fluorophores. Their structural and optical characteristics were elaborated and compared to commercially available graphene quantum dots. The mechanism of their action in photopolymerization processes was evaluated. Obtained materials proved to perform well in the development of effective photoinitiating systems for 3D printing applications. The morphology and chemical composition of obtained hydrogel printouts were profoundly characterized via SEM, AFM, Nano-FTIR, and s-SNOM.
DOI: 10.6084/m9.figshare.17261480.v1
title: SEOSS-Queries

description: Stakeholders of software development projects have various information needs for making rational decisions during their daily work. Satisfying these needs requires substantial knowledge of where and how the relevant information is stored and consumes valuable time that is often not available. Easing the need for this knowledge is an ideal text-to-SQL benchmark problem, a field where public datasets are scarce and needed. We propose the SEOSS-Queries dataset consisting of natural language utterances and accompanying SQL queries extracted from previous studies, software projects, issue tracking tools, and through expert surveys to cover a large variety of information need perspectives. Our dataset consists of 1,162 English utterances translating into 166 SQL queries; each query has four precise utterances and three more general ones. Furthermore, the dataset contains 393,086 classified utterances extracted from issue tracker comments. We provide pre-trained SQLNet and RatSQL baseline models for benchmark comparisons, a replication package facilitating a seamless application, and discuss various other tasks that may be solved and evaluated using the dataset
DOI: 10.6084/m9.figshare.24603234.v1
title: No.1 National-scale 10-m maps of cropland use intensity in China during 2018-2022

description: There were three groups of national-scale datasets on cropland use intensity over conterminous China during the study period (2018-2022). The first group of datasets was the cropland use intensity dataset for each year. Five 10-m national scale cropland use intensity maps (ChinaCUI10m) were provided for China during 2018-2022. The second group of datasets was the newly derived 10-m cropland dataset (ChinaCropland10m) based on historical cropping activities. The historical cropland use intensity during 2018-2022 was summarized and the ChinaCropland10m was produced through discarding pixels with values of zero (cropland should be actively cropped for at least once during the past five years). The third group of datasets was the degree of intensification revealed by averaged cropland use intensity (ChinaMeanCI10m) based on historical CUI datasets in China during 2018-2022. The datasets are available at the Figshare repository in a Geotiff format. The dataset is provided in ESPG: 4326 (WGS_1984) spatial reference system.
DOI: 10.6084/m9.figshare.29117828.v1
title: General information on dataset-crude or uncapsulated tannin extracts.xlsx

description: This file provides information about the dataset linked to the project
DOI: 10.15468/dl.f5xg79
title: Occurrence Download

description: A dataset containing 120 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pogonoloma spinulosum (Kühner & Romagn.) Sánchez-García"
 ]
}

 The dataset includes 120 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013431-250525065834625/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.26057617.v1
title: Team Effectiveness Data: A Bibliometric Analysis 1992-2022

description: This dataset is derived from a comprehensive study of team effectiveness over three decades, utilizing bibliometric techniques to examine scholarly publications across multiple databases. The repository includes bibliometric data from 6,051 publications related to team effectiveness, featuring metadata such as authors, titles, publication years, citations, and keywords.Repository Structure:The data shared in this repository is organized as follows:<b>Bibliometrix database.xlsx:</b> This excel file contains information on 6051 publications in the field of Team Effectiveness downloaded from the Scopus and Web of Science databases using specific search terms and inclusion criteria detailed in our associated paper (see our publication for more information on the methodology). The file contains the necessary headers for direct use in the Biblioshiny interface of the bibliometrix library for R.<b>List of stop words.txt:</b> This file contains keywords, separated by commas, that we have decided to eliminate from our analyses due to their potential to introduce bias in the results.<b>List of synonyms.txt:</b> This file contains groups of semantically synonymous keywords, separated by semicolons. Each line represents a group of synonyms, with the first keyword being the one that Bibliometrix will use to replace all other keywords in that line.Recommended Usage:This dataset is ideal for researchers interested in conducting new analyses of research trends, co-authorship network analysis, and thematic evolution in the field of team effectiveness. For example, researchers can narrow the scope to focus exclusively on team effectiveness in educational contexts. Our publication provides all the necessary details to replicate or extend our methodology. For any queries related to the data, please contact the correspongding author<i>.</i>License and Citation:The data are distributed under the CC BY license.
DOI: 10.17632/5kjnphrbsz
title: Pool Boiling Pre-CHF and Post-CHF Image Dataset - Small

description: A simple pool boiling image dataset including pre-CHF and post-CHF images, designed for training binary image classifiers. Used in Assignments 2&4 of technical elective MEEG 44403/54403 Machine Learning for Mechanical Engineers at the University of Arkansas.
DOI: 10.6084/m9.figshare.20103794.v2
title: Data.xls

description: The dataset assesses post-COVID symptoms of recovered patients in Vietnam. The survey was designed to investigate the damages of COVID on the long-term health of the patients and factors associated with post-COVID symptoms. The survey included 18 items, in which 6 items explored the demographics of respondents, and the remaining 12 items evaluated clinical characteristics such as infection characteristics, the prevalence of post-COVID symptoms, and comorbidities. The online questionnaire was distributed directly in post-COVID-19 health examination sites. The data collection was completed from May 2022, including 17,093 respondents, of which 13,313 completed records were analyzed. This description of the dataset presents demographic characteristics of the survey sample and descriptive analysis of survey items. The dataset provides insights into the long-term effects of coronavirus to help researchers develop healthcare services and response strategies during a novel phase of the fight against COVID-19
DOI: 10.17632/mdgfsf4c4p
title: LINF_170015400

description: Lariat debranching enzyme-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.6084/m9.figshare.29179304.v2
title: Comfort con ChatGPT

description: Comfort con ChatGPT<br>Risposte di ChatGPT all'ASQ
DOI: 10.6084/m9.figshare.7940591.v1
title: Results of Clinical Medicine and Participants' characteristics

description: Results of Clinical Medicine and Participants' characteristics
DOI: 10.6084/m9.figshare.21546066.v2
title: Temporally corrected long-term satellite solar-induced chlorophyll fluorescence (SIF) dataset (1995-2018)

description: This dataset provides global monthly satellite solar-induced chlorophyll fluorescence (SIF) data during July 1995 to December 2018 with a spatial resolution of 0.05 degree. This dataset was generated based on the temporal correction, spatially downscaling and multi-sensor fusion procedures. Compared with the results from ground flux sites, the long-term trend of this SIF product has a much better performance than current widely-used SIF datasets. This dataset could be beneficial for the estimation of global terrestrial carbon fluxes and for the projection of future climates.
<br>
Using this dataset requires the citation of this paper (https://doi.org/10.1016/j.isprsjprs.2022.10.018). <strong>If you plan to use our data in a manuscript, you must inform us of your analysis and publication plans well in advance of submission of a paper, give us an opportunity to read and intellectually contribute to the manuscript, and, if appropriate, offer co-authorship.</strong> 
Contact: Songhan Wang (wangsonghan@njau.edu.cn) and Yongguang Zhang (yongguang_zhang@nju.edu.cn) 
<br>
  
Data format: netcdf. (Every .zip file contains the monthly SIF of a year)
Spatial extent: 90S-90N 180W-180E
Fill value: -9999
Scale factor: 0.001
Unit: mW m-2 nm-1 sr-1
<br>
DOI: 10.6084/m9.figshare.12653012.v1
title: (Data1)_CountyLevelClustering.csv

description: We collected county-level cumulative COVID-19 confirmed cases and death from Mar 25 to Nov 12, 2020, across the contiguous United States from <i>USAFacts</i> (usafacts.org). We considered Mar 25 to Jun 3 as the “1<sup>st</sup> wave”, Jun 4 to Sep 2 as the “2<sup>nd</sup> wave”, and Sep 3 to Nov 12 as the “3<sup>rd</sup> wave” of COVID-19. For the 2<sup>nd</sup> and 3<sup>rd</sup> waves, we analyzed the targeted counties in the sunbelt region (including AL, AZ, AR, CA, FL, GA, KS, LA, MS, NV, NM, NC, OK, SC, TX, TN, and UT states) and great plains region (including IA, IL, IN, KS, MI, MO, MN, ND, NE, OH, SD, and WI states), respectively. MIR, as a proxy for survival rate, is calculated by dividing the number of confirmed deaths in each county by the confirmed cases in the same county at the same time-period multiplied by 100. MIR ranges from 0%-100%, 100% indicating the worst situation where all confirmed cases have died. Thirty-eight potential risk factors (covariates), including county-level MR of comorbidities & disorders, demographics & social factors, and environmental factors, were retrieved from the <i>University of Washington Global Health Data Exchange</i> (http://ghdx.healthdata.org/us-data). Comorbidities and disorders include CVD, cardiomyopathy and myocarditis and myocarditis, hypertensive heart disease, peripheral vascular disease, atrial fibrillation, cerebrovascular disease, diabetes, hepatitis, HIV/AIDS, tuberculosis (TB), lower respiratory infection, interstitial lung disease and pulmonary sarcoidosis, asthma, COPD, ischemia, mesothelioma, tracheal cancer, leukemia, pancreatic cancer, rheumatic disease, drug use disorder, and alcohol use disorder. Demographics & social factors include age, female African American%, female white American%, male African American%, male white American%, Asian%, smokers%, unemployed%, income rate, food insecurity, fair/poor health, and uninsured%. Environmental factors include county population density, air quality index (AQI), temperature, and PM. A descriptive table, including all potential risk factors, is provided in Table S1). <br>
DOI: 10.6084/m9.figshare.13318754.v4
title: Transposable elements and introgression introduce genetic variation in the invasive ant Cardiocondyla obscurior

description: This dataset contains output files generated by analyzing pool-seq as well as single individual sequencing data of <i>Cardiocondyla obscurior</i>. For more details please see the associated paper.
DOI: 10.6084/m9.figshare.23994486.v1
title: dataset2_Test_Samples.dat

description: This dataset contains the test samples for evaluating the PepCNN model for Dataset2
DOI: 10.6084/m9.figshare.29161271.v1
title: K562_10_dense

description: snjnsa
DOI: 10.6084/m9.figshare.4555825.v1
title: McanallyMorrisBestData.zip

description: Raw data files for Mcanally, Morris and Best, PLOS ONE<br>See readme.txt files for information<br>
DOI: 10.4121/19519861.v1
title: Dataset accompanying the manuscript: The existence and origin of multiple equilibria in sand-mud sediment beds

description: This dataset accompanies the manuscript: "The existence and origin of multiple equilibria in sand-mud sediment beds".It contains tide-averaged suspended sand/mud concentrations and bed composition (mud content) of two numerical models: one is a case-specific model of the Dutch Wadden Sea and the other is a model of a generalised and schematised tidal inlet. In addition, we have also included model input files to run the model. This dataset also contains sediment composition data of the Wadden Sea measured in 2008-2018 within the SIBES (Synoptic Intertidal Benthic Survey) campaigns.<br>
DOI: 10.17608/k6.auckland.12924735.v3
title: Hadden Little penguin micro CT head

description: Part of collection that contains images obtained during scanning and dissection of the heads of little penguins (<i>Eudyptula minor</i>) from Auckland, king penguins (<i>Aptenodytes patagonicus</i>) and gentoo penguins (<i>Pygoscelis papua</i>), the latter two descended from penguins from South Georgia. It also contains a video of the eye of a little penguin from Auckland viewed under both bright (photopic) and dim (mesopic) conditions, while undergoing general anaesthesia, to show the movement of the pupil as well as renders made from these images.<br>
DOI: 10.6084/m9.figshare.10101371.v1
title: Application of Pharmacogenomics and Bioinformatics to Exemplify the Utility of Human ex vivo Organoculture Models in the Field of Precision Medicine.

description: Study data file sets for Application of Pharmacogenomics and Bioinformatics to Exemplify the Utility of Human ex vivo Organoculture Models in the Field of Precision Medicine.<br>Data sets include:25 donor whole exome vcf files25 donor demographic information xls format25 donor TNFalpha release concentrations (pg/mL) xls format25 donor miRNA normalized intensity results txt format
DOI: 10.6084/m9.figshare.22677727.v1
title: Procrastination SDT.csv

description: This dataset is from a large-scale project collecting information of online learning climate, students' regulatory styles, basic psychological needs and procrastination behaviours.
DOI: 10.25452/figshare.plus.25697817.v1
title: A pangenome reference of wild and cultivated rice

description: The wild rice <i>Oryza rufipogon</i>, progenitor of Asian cultivated rice <i>O. sativa</i>, is an important resource for rice breeding. Here we presented a wild-cultivated rice pangenome based on 145 chromosome-level assemblies, comprising 129 genetically diverse <i>O. rufipogon</i> accessions and 16 diverse <i>O. sativa</i> varieties. This pangenome contains 3.87 Gb novel sequences absent in the <i>japonica </i>Nipponbare reference genome. We captured alternate assemblies that included heterozygous information missing in the primary assemblies, and identified a total of 69,531 pan-genes with 28,907 core-genes and 13,728 wild rice-specific genes. We observed a higher abundance and a significantly greater diversity of resistance gene analogs in wild rice compared to that in cultivars. Our analysis indicated that two cultivated subpopulations, intro-<i>indica </i>and <i>basmati</i> were generated through gene flows among cultivars in South Asia. We also provided strong evidence to support the initial domestication of all Asian cultivated rice occurred only once. Furthermore, we captured 855,122 SNPs and 13,853 PAVs differentiated between <i>indica</i> and <i>japonica</i>, which mainly be traced back to the divergence of their respective ancestors and a larger genetic bottleneck in <i>japonica</i>. This study provides reference resource for enhancing rice improvements and enriches our understanding of the origin and domestication process of rice.<br>
DOI: 10.6084/m9.figshare.24680481.v1
title: EukProt v3 OrthoFinder2 orthogroups inferred from The Comparative Set (TCS)

description: <b>EukProt v3 OrthoFinder2 orthogroups inferred from The Comparative Set (TCS)</b>The construction of orthologous gene clusters, referred to as orthogroups, was carried out for The Comparative Set (TCS) from EukProt v3, which encompasses a total of 196 eukaryotic species. The clustering of genes in a non-biased manner was performed using OrthoFinder v2.5.2, wherein each gene was compared to a comprehensive proteome dataset consisting of over five million proteins. Following the experimentation with various parameters, the DIAMOND algorithm was selected for conducting homology searches using the '-S diamond_ultra_sens' option.